Unsupervised learning is a machine learning technique, where you do not need to supervise the model. It covers explanations and examples of 10 top algorithms, like: Instead, we are more interested in the automatic programming capability offered by machine learning algorithms. Newsletter | He build teams and algorithms to solve hard problems with business impact. Twitter | Random Forest Classifier; Random forest is a supervised learning algorithm which is used for both classification and regression cases, as well. Yes, there is a difference between an algorithm and model. https://en.wikipedia.org/wiki/Pseudocode. For example, the sorted list output of a sorting algorithm is not really a model. Also, this may help, re ML stealing algorithms from statistics: Machine learning algorithms can be described using math and pseudocode. Kick-start your project with my new book Master Machine Learning Algorithms, including step-by-step tutorials and the Excel Spreadsheet files for all examples. Sometimes we may implement the prediction procedure ourselves as part of our application. RSS, Privacy | The linear regression algorithm results in a model comprised of a vector of coefficients with specific values. thank you so much for your informative and valuable tutorials.. can I build a machine learning model that can predict activity type (like walking) and predict the time that will be spent on walking using same model? Would you be able to enlighten if I would need to know ML in this detail ? What your dataset looks like will be a major factor in the kind of algorithm you choose. I’ll add the author and the link to the original article. Machine Learning is … an algorithm that can learn from data without relying on rules-based programming. You can use this breakdown as a framework to understand any machine learning algorithm. Stacking is a way to ensemble multiple classifications or regression model. Ltd. All Rights Reserved. The efficiency of machine learning algorithms can be analyzed and described. http://machinelearningmastery.com/how-to-define-your-machine-learning-problem/, Welcome! In this sense, the machine learning model is a program automatically written or created or learned by the machine learning algorithm to solve our problem. What is your favorite algorithm? A model is then used as the deployment entity which takes any input in future and produces an output prediction. IMO it is fundamentally wrong to say that : “linear regression is a machine learning algorithm”. With respect to machine learning, classification is the task of predicting the type or … Ask your questions in the comments below and I will do my best to answer. Linear regression. Note that a package in software library is nothing but a pre-written standard code which is ready to be used. What is Regression Machine Learning? We save the data for the machine learning model for later use. In the first installment of the Applied Machine Learning series, instructor Derek Jedamski covered foundational concepts, providing you with a general recipe to follow to attack any machine learning problem in a pragmatic, thorough manner. LinkedIn | We can’t prove a thing. I am a radiologist keen to pursues career in AI in medical imaging. This is often straightforward to do given that most prediction procedures are quite simple. ML is one of the most exciting technologies that one would have ever come across. For example, some other types of algorithms you might be familiar with include bubble sort for sorting data and best-first for searching. Academics can devise entirely new machine learning algorithms and machine learning practitioners can use standard machine learning algorithms on their projects. (Training nothing but, generating the … The model does the sorting. | ACN: 626 223 336. The writing is very clear. For example, if we need to classify emails as spam or not spam, we need a software program to do this. Read more. If you increase the size of your training set, you can almost be sure that you can have better results. Regression and Classification algorithms are Supervised Learning algorithms. There are a few key techniques that we'll discuss, and these have become widely-accepted best practices in the field.. Again, this mini-course is meant to be a gentle introduction to data science and machine learning, so we won't get into the nitty gritty yet. This framework may help: Bio: Xavier Amatriain, is a VP of Engineering at Quora, well known for his work on Recommender Systems and Machine Learning. Before we deep dive into understanding the differences between regression and classification algorithms. You can generate a new model with the same algorithm but with different data, or you can get a new model from the same data but with a different algorithm. Linear regression predictions are continuous values (i.e., rainfall in cm), logistic … Linear regression is a method in which you predict an output variable using one … You mean collect evidence. Same as for any other algorithm: An algorithm is the general approach you will take. Classification. Yes, there is a difference between an algorithm and model. The machine learning model “program” is comprised of both data and a procedure for using the data to make a prediction. It turns out that this approach is slow, fragile, and not very effective. Naïve Bayes algorithm is a supervised learning algorithm, which is based on Bayes theorem and used for solving classification problems. A model represents what was learned by a machine learning algorithm. There are many machine learning algorithms. Some algorithms are trivial or even do nothing, and all of the work is in the model or prediction algorithm. My query is : When opting for a Data Scientist career, is it really necessary to have in depth knowledge on Data Structures and Algorithms? We don’t care about simulating learning processes. Address: PO Box 206, Vermont Victoria 3133, Australia. The algorithm is a popular choice in many natural language processing tasks e.g. The best analogy is to think of the machine learning model as a “program.”. Classification in Machine Learning. The Machine Learning Algorithms EBook is where you'll find the Really Good stuff. Well described dear Dr. Jason, as always. Specifically, an algorithm is run on data to create a model. Facebook | This is just like other areas of computer science where academics can devise entirely new sorting algorithms, and programmers can use the standard sorting algorithms in their applications. In case of machine learning models, you rarely specify output structure and algorithms like decision trees are inherently non-linear and work efficiently. This article will cover machine learning algorithms that are commonly used in the data science community. Model Parameters and Hyperparameters in Machine Learning — What is the difference? https://machinelearningmastery.com/start-here/#dlfcv. A “model” in machine learning is the output of a machine learning algorithm run on data. The model is what you get when you run the algorithm over your training data and what you use to make predictions on new data. Machine learning involves the use of machine learning algorithms and models. In the process I am stuck as I am unable to find the difference between cellular automata and artificial neural network. I'm Jason Brownlee PhD Popular Machine Learning Algorithms – Technology@Nineleaps … (Ethan Carr) Machine learning models are at their core, very complicated statistical formulas. No, please do not translate my work: Typically, the algorithm is some sort of optimization procedure that minimizes error of the model (data + prediction algorithm) on the training dataset. toxic speech detection, topic classification, etc. You can think of the procedure as a prediction algorithm if you like. Model is in some sense an executable which is output of the machine learning algorithm. The model is comprised of a vector of coefficients (data) that are multiplied and summed with a row of new data taken as input in order to make a prediction (prediction procedure). ... Learning algorithm vs Model in Machine Learning [duplicate] Ask Question Asked 1 year, 9 months ago. We often use the prediction procedure for the machine learning model provided by a machine learning library. It performs an optimization process (or is solved analytically using linear algebra) to find a set of weights that minimize the sum squared error on the training dataset. Active 1 year, 9 months ago. One of the best articles that clearly distinguishes between algorithm and model. For a beginner, the words “algorithm & model” confuses a lot. Machine learning algorithms perform “pattern recognition.” Algorithms “learn” from data, or are “fit” on a dataset. https://machinelearningmastery.com/faq/single-faq/can-i-translate-your-posts-books-into-another-language. As it is based on neither supervised learning nor unsupervised learning, what is it? To be straight forward, in reinforcement learning, … You just simply imported & used the specific logistic regression algorithm from the respective packages (sklearn, glm), and trained it with data to generate/build a Model. machine learning works by giving computers the ability to “learn” with data by example (i mean, only ready the content and knowing the recipient, not not by relying on known or unknown sources). ... Ex_Files_Machine_Learning_Algorithms.zip (5662310) Download the exercise files for this course. Sounds like that it didn’t exist before machine learning. If you are still interested to know the details, the below information would give you more clarity. Generative AI is a popular topic in the field of Machine Learning and Artificial Intelligence, whose … In fact, you don’t know the true complexity of the required response mapping (such as whether it fits in a straight line or in a curved one). The simple answer is — when you train an “algorithm” with data it will become a “model”. Some people may be, and it is interesting, but this is not why we are using machine learning algorithms. Both the algorithms are used for prediction in Machine learning and work with the labeled datasets. Low variance-high bias algorithms are less complex, with a simple and rigid structure. This division is very helpful in understanding a wide range of algorithms. And then the same thought I have for the rest of the algorithms that you listed and that belong to much general context and existed much long before the beginning of machine learning. training) our model will be fairly straightforward. So now we are familiar with a machine learning “algorithm” vs. a machine learning “model.”. As always! how a new row of data interacts with the saved training dataset to make a prediction. We really just want a machine learning “model” and the “algorithm” is just the path we follow to get the model. It is usually recommended to gather a good amount of data to get reliable … Regression vs Classification in Machine Learning: How they Differ. Machine learning algorithms perform automatic programming and machine learning models are the programs created for us. Machine learning algorithms are procedures that are implemented in code and are run on data. Machine learning can be summarized as learning a function (f) that maps input variables (X) to output variables (Y).Y = f(x)An algorithm learns this target mapping function from training data.The form of the function is unknown, so our job as machine learning practitioners is to evaluate different machine learning algorithms and see which is better at approximating the underlying function.Different algorithms make different assumptio… If the model is trained using linear . So Algorithm in machine learning is used to produce an output deployable executable Model, which can be used in future to predict values. The algorithm is used to find the model. End-to-End Data Science Example: Predicting Diabetes with Logistic Regression. Neural network structures/arranges algorithms in layers of fashion, that can learn and make intelligent decisions on its own. Depends on what you’re doing every day: linear regression is an algorithm and it can be used in machine learning or statistical learning, to say that is ok, but saying that is a “machine learning algorithm” is simply not fine. ; It is mainly used in text classification that includes a high-dimensional training dataset. We want an effective model created efficiently that we can incorporate into our software project. In machine learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. The learning algorithm is used to train the model with training data, does that sound correct? (Training nothing but, generating the respective parameters/coefficients values for the chosen algorithm based on the training data, and that parameterised algorithm is called as model). I just want to clarrified if you can share it with me..tq. Machine Learning Models Vs Algorithms. Size of the training data. If you ever built a Logistic Regression model using R’s glm (model <- glm (**** ~ .$$$$, family = binomial)), did you write R code for logistic regression. © 2020 Machine Learning Mastery Pty. Contact | The learning algorithm is used to train the model with training data, does that sound correct? Disclaimer | Thank you..now I understand the difference between algorithm and model.. Perhaps I just wondering how about the term predictive model and predictive analytics framework..is there any difference? If you ever built a Logistic Regression model using python’s sklearn (from sklearn.linear_model import LogisticRegression), did you write python code for logistic regression? Machine Learning is the field of study that gives computers the capability to learn without being explicitly programmed. (the algorithm to be used not defined yet), Perhaps. For example, most algorithms have all of their work in the “algorithm” and the “prediction algorithm” does very little. Since we've already done the hard part, actually fitting (a.k.a. Kindly Help, Thankyou! Speaking in general could we say for example that linear regression, SVM, neural network are machine learning model? We have algorithms for regression, such as linear regression, and we have algorithms for clustering, such as k-means. I want to translate Chinese, so please agree. For example, if I train my Decision Tree algorithm with a structured training data-set for say, anomaly detection in a network to identify malicious packets, it will generate a model which would take in an input, preferably in real time, and generate a result set corresponding to each … We also understand that a model is comprised of both data and a procedure for how to use the data to make a prediction on new data. The linear regression algorithm is a good example. For beginners, this is very confusing as often “machine learning algorithm” is used interchangeably with “machine learning model.” Are they the same thing or something different? Search, Making developers awesome at machine learning, Click to Take the FREE Algorithms Crash-Course, How to Develop an AdaBoost Ensemble in Python, https://machinelearningmastery.com/machine-learning-tribe/, https://machinelearningmastery.com/faq/single-faq/can-i-translate-your-posts-books-into-another-language, https://machinelearningmastery.com/faq/single-faq/how-are-statistics-and-machine-learning-related, https://machinelearningmastery.com/start-here/#dlfcv, http://machinelearningmastery.com/how-to-define-your-machine-learning-problem/, Supervised and Unsupervised Machine Learning Algorithms, Logistic Regression Tutorial for Machine Learning, Simple Linear Regression Tutorial for Machine Learning, Bagging and Random Forest Ensemble Algorithms for Machine Learning. Regression vs. Sorry, I have not heard of CA neural nets. As a part of our research we are required to prove why certain algorithms and models are best. There are many ways to ensemble models, the widely known models are Bagging or Boosting.Bagging allows multiple similar models with high variance are averaged to decrease variance. Machine learning models are output by algorithms and are comprised of model data and a prediction algorithm. Specifically, an algorithm like Naive Bayes can learn how to classify email messages as spam and not spam from a large dataset of historical examples of email. Machine learning algorithms learn from the dataset. They will train the models that are consistent, but inaccurate on average. In linear regression the model is coefficients, in SVM is it the support vectors, in neural net it is the architecture and weights. Do you have any questions? The model is the “ thing ” that is saved after running a machine learning algorithm on training data and represents the rules, numbers, and any other algorithm-specific data structures required to make predictions. Perhaps find some papers on the topic and read carefully to find a good definition. Very clear Jason! For example, consider the linear regression algorithm and resulting model. A Machine Learning algorithm cannot be perceived as a one-time method for training the model, instead, it is a repetitive process. Machine learning Model Building. This is kind of like a baby trying to learn. We don’t want “Naive Bayes.” We want the model that Naive Bayes gives is that we can use to classify email (the vectors of probabilities and prediction algorithm for using them). Thank you so much as a beginner, this was super useful. Sitemap | Get started with a free trial today. Difference Between Algorithm and Model in Machine LearningPhoto by Adam Bautz, some rights reserved. Machine learning techniques are used for problems that cannot be solved efficiently or effectively in other ways. You can think of a machine learning algorithm like any other algorithm in computer science. You are also likely to see multiple machine learning algorithms implemented together and provided in a library with a standard application programming interface (API). A machine-learning algorithm is a program with a particular manner of altering its own parameters, given responses on the past predictions of the data set. I tried to read and understand what ANN and CA are, but still I am not able to understand what automata based neural networks are. Machine learning algorithms can be implemented with any one of a range of modern programming languages. You choose your algorithm based on how you want to train your model. Whereas in Machine learning the decisions are made based on what it has learned only. Let’s first understand each algorithm. As developers, we are less interested in the “learning” performed by machine learning algorithms in the artificial intelligence sense. For example, we have algorithms for classification, such as k-nearest neighbors. Naïve Bayes Classifier Algorithm. The “ML model” is the output generated when you train your “machine learning algorithm” with your training data-set. Or same with machine learning model. Logistic Regression. Machine learning (ML) is the study of computer algorithms that improve automatically through experience. Terms | Think of it like this, you choose your model based on what you want to get out of your machine learning experiment. Just as simplicity of formulations is a problem in machine learning, automatically resorting to mapping very intricate formulations doesn’t always provide a solution. Data Pre Processing Techniques You Should Know, Heart Disease Risk Assessment Using Machine Learning, How to Compare Machine Learning Algorithms, Top 8 Challenges for Machine Learning Practitioners. A hyperparameter is a parameter whose value is used to control the learning process. A popular example is the scikit-learn library that provides implementations of many classification, regression, and clustering machine learning algorithms in Python. Therefore, just as simplicity may […] It mainly deals with the unlabelled data. I assume that you already built some machine learning models, and let me ask you a question here: For example. Instead, you need to allow the model to work on its own to discover information. (I read a few research works where they use cellular automata based neural networks, and I am unable to understand what it is). A model represents what was learned by a machine learning algorithm. This is another often confusing thing… if you enlighten by your post like this, it would be highly appreciated. After discussing on supervised and unsupervised learning models, now, let me explain to you reinforcement learning. People have tried. As such, machine learning algorithms have a number of properties: For example, you may see machine learning algorithms described with pseudocode or linear algebra in research papers and textbooks. The model data, therefore, is the entire training dataset and all of the work is in the prediction algorithm, i.e. You may see the computational efficiency of a specific machine learning algorithm compared to another specific algorithm. In this post, you will discover the difference between machine learning “algorithms” and “models.”. The neural network / backpropagation / gradient descent algorithms together result in a model comprised of a graph structure with vectors or matrices of weights with specific values. As my knowledge in machine learning grows, so does the number of machine learning algorithms! Machine Learning => Machine Learning Model, Machine Learning Model == Model Data + Prediction Algorithm. Unsupervised learning algorithms allow you to perform more complex processing tasks compared to supervised learning. ...with just arithmetic and simple examples, Discover how in my new Ebook: Statistical Modelling is … formalization of relationships between variables in the form of mathematical equations. Instead, we can use machine learning techniques to solve this problem. Master Machine Learning Algorithms. Therefore, to identify whether a banknote is real or not, we needed a dataset of real as well as fake bank notes along with their different features. pseudocode: How to write pseudocode for a specific ML algorithm? A “model” in machine learning is the output of a machine learning algorithm run on data. As a developer, your intuition with “algorithms” like sort algorithms and search algorithms will help to clear up this confusion. The model is the program that solves the problem. https://machinelearningmastery.com/faq/single-faq/how-are-statistics-and-machine-learning-related. Linear Regression, k-Nearest Neighbors, Support Vector Machines and much more... is the model abble to discover the logic according to which the mails have been sorted by spam and non-spam ? In this post, you discovered the difference between machine learning “algorithms” and “models.”. But however, it is mainly used for classification problems. Machine learning algorithms provide a type of automatic programming where machine learning models represent the program. and I help developers get results with machine learning. The model is the “thing” that is saved after running a machine learning algorithm on training data and represents the rules, numbers, and any other algorithm-specific data structures required to make predictions. Given the model’s susceptibility to multi-collinearity, applying it step-wise turns out to be a better approach in finalizing the chosen predictors of the model. In this video, learn what an algorithm and model are. He build teams and algorithms to solve hard problems with business impact. This tutorial is divided into four parts; they are: An “algorithm” in machine learning is a procedure that is run on data to create a machine learning “model.”. Do you know an algorithm that does not fit neatly into this breakdown? The k-nearest neighbor algorithm has no “algorithm” other than saving the entire training dataset. Dear Sir, The decision tree algorithm results in a model comprised of a tree of if-then statements with specific values. I am very sorry, but I will respect your decision. In machine-learning, you can always be sure that by making complex non-linear models, you overfit your data while using complex deep-learning models does not necessarily mean that if you employ generalization techniques which avoid overfitting. Machine learning models /methods or learnings can be two types supervised and unsupervised learnings. But the difference between both is how they are used for different machine learning problems. We want the model, not the algorithm used to create the model. Regression algorithms predict a continuous value based on the input variables. Machine Learning Is Automatic Programming. The simple answer is — when you train an “algorithm” with data it will become a “model”. They are algorithms that are fit on training data to create a model. https://machinelearningmastery.com/machine-learning-tribe/. A machine learning model is more challenging for a beginner because there is not a clear analogy with other algorithms in computer science. Obviously for both of above questions, your answer will be a “No”. By contrast, the values of other parameters (typically node weights) are learned.
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Factors to Consider When Choosing Ultrasonic Sensors.
This means that with the technological growth sensing tech has different features for presenting in different fields. For instance, in a dusty environment, the photoelectric sensors used will radiates but may fail to return the signals due to the covered lens. The ultrasonic sensors are among the best because it is not affected by any obstacle because sound can travel even in dirty environments. This therefore means that the ultrasound sensors reflect sound waves that are used to measure distance hence they come in wide ranges and it is important to pick the needed for your application because it has effects on the presenting of the sensor. This means that there are very many productions that use the ultrasonic sensors that include the food and beverage, agriculture and packaging. Therefore, factors outlined below will guide an individual in getting the best ultrasonic sensors they are looking for.
It is important to put into considerations the distance that the sensor will cover. The length of the sensor from the targeted object. Having a wide range of variety of sensors it is important for an individual to identify the one that will serve their purpose according to the distance they can cover. It is then advisable to place the sensor a far distance from the sensing object due to some attributes concerned like the temperature, this is because when the sensor is too close to the object and is affected by the temperature the sensor will produce inaccurate results which will also require maintenance of now and then. Therefore the use of extended distance ultrasonic sensors will help cover longer distances and the sensor will be placed well helping you in achieving the results that you need.
It is quite evident that the sensors are presented in various types and sizes therefore it is important to determine the most appropriate type for your application. The two major types used of the ultrasonic sensory are the analogue and switch points. The analogues’ sensors present current signals that are proportional to the distance covered. The switch point sensors come with adjustable ranges which means that you can set the distance for the detection within the range which means that you will get variable that you for your application.
The surrounding of the area where the sensor will be placed should be factored in. This is because the type, shape, material and size of the sensor will be dependent on the application and environment. It is therefore advisable to place them in a cylindrical, flat pack and cubed because you can easily mount making it easier to drill the size and fastening nuts of the sensor. Having the best quality that you need in ultrasonic sensor will be achieved by considering the hints above.
Suggested Article: her response


Compatible with iOS 5, 6, 7 and 8
Have you ever wanted an app like coconutBattery for iPhone?
Well, this is a tweak which does the same job.
BatteryInfo shows all your important battery information in the notification center!
+) Battery state
+) Battery charge
+) Battery capacity (design capacity and current capacity!) --> battery health
+) Battery loadcycles
+) Battery temperature
iOS 5+ required!
Tested on iPhone 4 only, but should also work fine on all other devices.
NotificationCenter addons can be configured from the Settings app, in the Notifications panel
See larger Screenshots below..


Central Europe’s rich history of climate monitoring dates back to before the inception of modern national weather services. This tradition of climate observation is especially prevalent in the Alps, where 19th-century measurements can provide valuable insights into how climate has changed in this complex geographical region. An upcoming research expedition aims to gather both historical and current climate data from two separate areas: the Alps and Stone Mountain in North Carolina, United States.
The expedition will be conducted by a select team, and will involve rock climbing to the summit of Stone Mountain in order to collect data. Advanced technology such as machine learning and artificial intelligence will be used to analyze the data and build predictive models around significant climate change. The goal of the expedition is to assist other research scientists from around the world in understanding the impact of climate change on these two distinct geographical areas.
Journey To Earth is currently in the planning and briefing stage of the expedition. Through this research, they hope to shed light on the ways in which climate change has affected these regions and provide valuable data for future climate change studies. As the expedition progresses, more information will be made available to the public.


Keen AI was established with a singular objective in mind. Deliver practical, yet disruptive AI solutions that improve efficiency in business and organisational processes.
By harnessing machine learning, our goal is to provide quick, cost-effective, multi-industry deployments of machine vision utilising the KAI-V platform, without the need for expensive equipment, that prove the critical role that AI can have in achieving hyper efficiencies in time, resource, and costs.
Amjad co-founded KEEN AI creating the first KAI platform prototype. He has successfully deployed Machine Learning and AI capability in many organisations spanning Electricity Transmission, Utilities, Retail and Financial Services.
MSc in Mathematical Modelling of Biological Complexity from University College London. BSc in Mathematics from Imperial College London.
Amjad is fascinated by the ability of natural organisms to solve computational problems and how this can be applied to human systems.
Will is responsible for research at KEEN AI and business development in the Asia Pacific region.
Alongside his work at KEEN AI, Will leads the Data Science team at Kantar New Zealand where he is responsible for big data analytics, data integration, mathematical modelling, AI, machine learning and data-driven strategy consulting.
PhD in Mathematical Modelling of Biological Complexity from UCL. First class Honours degree and MSc in Zoology from University of Otago
Mubin is responsible for marketing at KEEN AI. Mubin is an experienced Marketing Professional, experienced at defining core strategy, managing implementation and delivering results.
BSc with honours in Psychology from City University, London, MSc in Occupational Psychology from the University of Nottingham.
James is a senior data scientist at KEEN AI, he has extensive experience building predictive models for businesses in a variety of sectors. He is driven, commercially astute and a Kaggle prize winner.
MSc in Statistics from University of Warwick and BSc in Physics from Imperial College London.
Hamzah joined the team as a Graduate Data Scientist, having earned an MEng in Electrical and Electronic Engineering from Imperial College London.
His primary role includes supporting the core team with client projects and helping further develop the KAI-V AI platform.
Hamzah is excited by the potential of AI to take engineering processes to even greater heights. Following his passion for integrating these two worlds to build a better future, he is dedicated to helping Keen AI grow and achieve that vision.


Smallest 360-degree camera for Personal Smartphone have you heard?
Android has come up with an idea which will leave behind Samsung’s Galaxy S8, With it’s Smallest 360-degree camera.
Essential Phone has the Smallest 360-degree camera which will give you a broader look for capturing images. It gives an immersive experience which may confuse the user between the image and the reality. If you ever notice the application, namely 360 camera changes our picture automatically and enhance it in a superior way. But what if that camera comes inbuilt in the essential phone. This will reduce the possibilities of that one shot which will blow your mind.
Specifications of the smallest 360-degree camera:-
It weighs around 35 grams in the entire phone which includes 12-megapixel configuration. The best part of this 360 camera is that it contains fisheye sensors that will automatically detect the person’s image irrespective of the disruptions occurred during the snap. Moreover, it has 4 microphones used for the purpose of sound in the 3D effect. If you try to buy the stupendous 360 cameras separately it may cost $199 but if you buy it with the essential phone it may cost only $50.
So the Company is shipping this additional feature in the US market, regardless of the market price. 360 camera is counted in the magnetic accessories which will create the liveliness into the picture and gives you infinite pleasure to be in the snap.
Essential phone associated with the Android contains the marvelous specifications and world’s smallest 360 cameras that will contribute to the smooth functioning of the phone and increases the image fusion.
NEXT: HAVE YOU HEARD INTERESTING NEWS ABOUT Google Pixel 2: Smartphone


Miracle Corporations has a number of system services running in a distributed computer system which
is a prime target for hackers. The system is basically a set of
computer nodes with each of them
running a set of
services. Note that, the set of services running on every node is same everywhere
in the network. A hacker can destroy a service by running a specialized exploit for that service in all
One day, a smart hacker collects necessary exploits for all these
services and launches an attack
on the system. He nds a security hole that gives him just enough time to run a single exploit in each
computer. These exploits have the characteristic that, its successfully infects the computer where it
was originally run and all the neighbor computers of that node.
Given a network description, nd the maximum number of services that the hacker can damage.
将模型建成集合，之后就容易想到状压 DP 啦。


In a significant development, the Indian Space Research Organisation (ISRO) announced that it will be launching its earth observation satellite, HysIS, along with 30 other small satellites from eight countries, on Thursday, November 29. The Polar Satellite Launch Vehicle Core Alone variant (PSLV-CA) will carry the 380 kg Hyper Spectral Imaging Satellite (HysIS) and the 30 additional satellites, which together weigh 261.5 kg.
The PSLV rocket is a four-stage launch vehicle that uses alternating solid and liquid stages and engines. The mission will be completed in just 112 minutes after the liftoff, with the rocket’s fourth stage being switched off in just over 16 minutes. The HysIS satellite will be placed in a 636 km polar sun-synchronous orbit, 17 minutes into the flight. Post-ejection of HysIS, the fourth stage will be restarted and used to place the remaining 30 small satellites in a 504 km orbit.
The primary goal of HysIS is to study the earth’s surface in visible, near infrared and shortwave infrared regions of the electromagnetic spectrum. The satellite has a mission lifespan of five years. The 30 small satellites, which have been commercially contracted for launch through Antrix Corporation Limited, the commercial arm of ISRO, include 23 from the US and one each from Australia, Canada, Columbia, Finland, Malaysia, the Netherlands, and Spain.
This launch marks ISRO’s continued efforts to enhance its capabilities in earth observation and remote sensing. The agency has been actively working to expand its fleet of satellites for geo-intelligence gathering and has plans to launch 50 satellites over the next five years to support this capability. ISRO chairman S Somanath recently stated that for India to become a strong nation, it is necessary to improve the ability of satellites to detect changes, bring in more AI-related and data-driven approaches to analyze data, and reduce data downloads.
The launch of HysIS and the 30 small satellites is a significant milestone for ISRO and demonstrates its commitment to advancing space technology and earth observation capabilities. The mission is expected to yield valuable data and contribute to a better understanding of the earth’s surface and its various processes. – The Blaze Times


ROCKBROS USB Rechargeable Bike Light LED - Rainproof - Front Lamp Headlight
About This Item
Cut-off Line Design Avoid Hurting The Eyes: Optical design suitable for the city making cycling safer High Transmittance Acrylic: Light & strong impact resistance clearer & evenly distributed Snap-in Bracket: Installation without tools Non-Slip designFlashing Warning Light Flashing red light: Low battery Flashing blue light: Charging Bright blue: Finished charging
Model: YQ-QD/V9C/BC02/BC05/V6/R1 Material: Aluminum Alloy Mode: 3-7 Modes Super Bright / High / Middle / Low / Flash / Warning Waterproof: IPX3-IPX7 Lumen: 200-1000Lumen Range: 150M-250M Battery:1800-4000 mAh Charging Time: About 3-5 h Surface craft: Abrasion resistant anodizing
- Not only a bicycle light, it's also a flashlight
- Aluminum alloy , good heat dissipation
- IPX4-IPX6 waterproof. Do not soak the bike light into water.
- Durable/Anti-Fall, Long Range
- Built-in battery, USB Charging, Large capacity battery
- Automatic power off after charging finish
- High Brightness, Low energy consumption
- Easy to install, Non-slip
If you do not use it for a long time, please charge it every three months. Waterproof grade is IPX3-IPX6. Do not immerse the bicycle light in water.
Please use the charging cable included in the package to charge, otherwise it may cause damage to the lights.


EE 121B - Principles of Semiconductor Device Design
- Introduction to principles of operation of bipolar and MOS transistors, equivalent circuits, high-frequency behavior, and voltage limitations.
EE 129D - Semiconductor Processing and Device Design
- Introduction to CAD tools used in integrated circuit processing and device design. Device structure optimization tool is based on Synopsys® TaurusTM MediciTM; process integration tool is based on Synopsys® TaurusTM TSUPREM-4TM.
EE 222 - Integrated Circuits Fabrication Processes
- Principles of integrated circuits fabrication processes. Technological limitations of integrated circuits design. Topics include bulk crystal and epitaxial growth, thermal oxidation, diffusion, ion-implantation, chemical vapor deposition, dry etching, lithography, and metallization. Introduction of advanced process simulation tools.
Education Outreach and Integrated Diversity


For starters, the Pixel 3a is slightly taller and wider, at 6.0 by 2.8 by 0.3 inches to the Pixel 3's 5.7 by 2.7 by 0.3 inches. It comes in at the same 5.2 ounces, however, since it has a. Google Pixel 3a Review
Google Pixel 3 XL specs compared to Google Pixel 3a XL. Detailed up-do-date specifications shown side by side. Compare Google Pixel 3 XL vs. Google Pixel 3a XL .
May 23, 2019 · Testing revealed some differences between the different Google phones. The Pixel 3 covers a wider range of colors, capturing 202% of the sRGB color spectrum to the 3a's 182.3%. Pixel 3a vs. Pixel 3: How Google's Budget Phone Stacks Up .
Google Pixel 3a specs compared to Google Pixel 4a. Detailed up-do-date specifications shown side by side. Compare Google Pixel 3a vs. Google Pixel 4a vs. Google .
Google Pixel 3a specs compared to Google Pixel 3. Detailed up-do-date specifications shown side by side. Compare Google Pixel 3a vs. Google Pixel 3
Jun 06, 2021 · Compare Google Pixel 4A vs Google Pixel 3A XL vs Google Pixel 3 XL and get to know the difference in prices, specs and features. Google Pixel 4A vs Google Pixel 3A XL vs Google Pixel 3 XL … Google Pixel 4A vs Google Pixel 3A XL vs Google Pixel 3 XL .
Oct 10, 2018 · Pixel 3 vs Pixel 2: Camera. Google is very proud of the Pixel 3’s camera, judging by the amount of time it spent discussing it during the Pixel 3 announcement. Not only is there a 12.2 … Pixel 3 vs Pixel 2: Is it worth splashing out on Google’s .
3. has an external memory slot. Google Pixel 3a. Huawei P30 Lite. The device has a standard memory slot (such as an SD or micro SD card slot) that enables you to extend the built-in internal storage with … Google Pixel 3a vs Huawei P30 Lite: What is the difference?
Oct 15, 2019 · Pixel 3 XL: $599 for 64GB. Pixel 3A: $399 for 64GB. Pixel 3A XL: $479 for 64GB. If your budget tops out at $500 or so, we’ve already covered the tradeoffs between the Pixel 3A and Pixel 3 . Google Pixel 4 vs Pixel 3 vs Pixel 3a: Should you upgrade .
Jun 02, 2020 · Other than price and size, Google's flagship phones of 2018, the Pixel 3 and 3 XL, are essentially the same device.Currently priced at $397 and $499, respectively, the phones are much … Google Pixel 3 vs. 3 XL: They've been deeply discounted .
May 10, 2019 · Google's Pixel phones have traditionally been high-end devices, but for the first time the company has launched a pair of mid-range phones – the Pixel 3a and 3a XL. These strip out a few … Google Pixel 3a and 3a XL vs. Pixel 3 and 3 XL
May 12, 2019 · 6 Advantages Google Pixel 3a (G020F): vs: 11 Advantages Google Pixel 3 (64GB) + 147 grams (5.15 ounces) 1% Lighter: vs: 148 grams (5.18 ounces) + 1080x2220 pixels 3% Higher resolution screen: vs… Google Pixel 3a (G020F) vs Google Pixel 3 (64GB)
May 07, 2019 · Google just took the wraps off its latest smartphone: the Pixel 3A, a cheaper version of its flagship Pixel phone that starts at just $400, or roughly half of what the more powerful Pixel 3 costs. Pixel 3A vs. Pixel 3: how the specs compare for Google’s .
Oct 26, 2019 · The Pixel 3 remains on sale, with Google slashing its price to $499 — that's $300 less than the starting price for the Pixel 4. While Google's new phone boasts other improvements — including . Pixel 4 vs. Pixel 3 Camera Face
The Pixel 3a which was unveiled during Google I/O 2019 may be one of the best smartphones of 2019. It may not have the best specs or a huge set of features . Pixel 3a vs Pixel 3
Show only Differences. Google Pixel 3. ₹ 71,000. Google Pixel 3A. ₹ 39,999. Add gadget to compare. Select Mobiles. Add gadget to compare. Select Mobiles. Compare Google Pixel 3 vs Google Pixel 3A: Price, Specs .
May 13, 2019 · Both the Pixel 3 and Pixel 3a have exactly the same camera specs: 12-megapixel sensor, f/1.8 aperture lens and OIS (optical image stabilisation). The Pixel 3 does benefit from the dedicated … Google Pixel 3a vs Pixel 3: How does the cheaper Pixel .
May 07, 2019 · Around front, the Pixel 3a has a slightly larger 5.6-inch OLED display with an 18.5:9 aspect ratio, while the Pixel 3 has a 5.5-inch OLED panel and an 18:9 display. Both are Full HD+ resolution . Google Pixel 3a vs Pixel 3: What do you sacrifice for a .
May 08, 2019 · Google Pixel 3a vs Pixel 3: Price. This is of course where the Pixel 3a shines most brightly, as it is priced at just $399, and the larger Pixel 3a XL costs $479. For comparison, the Pixel 3 (which launched last fall, remember, and will be replaced this fall by the Pixel 4) costs from $799, and the Pixel 3 … Google Pixel 3a vs Pixel 3: What are the differences .
The Pixel 3a and Pixel 3a XL are Android smartphones from the Google Pixel product line. Serving as midrange variants of the Pixel 3 and Pixel 3 XL, the phones were officially announced on May 7, 2019 at Google I/O, seven months after the announcement of the original Pixel 3 lineup. Google discontinued the Pixel 3a on July 1, 2020, and announced its successor, the Pixel 4a, on August 3… Pixel 3a
The Pixel 3a takes slightly longer to process images when compared to its slightly more premium sibling. Its images are also known for having slightly cooler color temperatures. But to be honest, if you compare the images taken by the Pixel 3 vs 3a, you will notice Google… Google Pixel 3 vs Google Pixel 3a Comparison—What's the .
May 09, 2019 · For the record, the Pixel 3a XL starts at $479, while the Pixel 3 XL at $899. The Bottom Line. With the Pixel 3a lineup, Google is making Pixel features more accessible. It may not have … Pixel 3a vs. Pixel 3: What's The Difference Between The .
Oct 17, 2019 · The Pixel 3 is actually older than the Pixel 3a. Google first released the Pixel 3 last October and the 3a followed in May. As with the rest of the Pixel lineup, the Pixel 3 comes in two sizes. … Google Pixel Buying Guide: Pixel 3a vs. Pixel 3 vs. Pixel .
Google Pixel 3A vs OnePlus Nord vs Samsung Galaxy S10 Plus comparison on basis of price, specifications, features, performance, display & camera, storage & battery, reviews & ratings and much … Compare Google Pixel 3A vs OnePlus Nord vs Samsung Galaxy .
May 12, 2019 · 14 Advantages Google Pixel 3 XL (64GB): vs: 3 Advantages Google Pixel 3a XL (G020D) + 2.5Ghz 64bit Octa-Core 11% More powerful processor, you can open your applications faster: vs: 2Ghz … Google Pixel 3 XL (64GB) vs Google Pixel 3a XL (G020D .
Apr 30, 2020 · The Pixel 3a and 3a XL have a single 8-megapixel camera with 1.12µm pixels, an f/2.0 aperture and an 84-degree field of view. The Pixel 3 and 3 XL have dual 8-megapixel front cameras … Google Pixel 3a vs Pixel 3: The differences explained .
Aug 03, 2019 · The Google Pixel 3a is a compelling mid-range handset in its own right. Starting at just $399 compared to the $799 Pixel 3 and packing many of the features you get in its premium sibling, the. Google Pixel 3a vs Pixel 3 camera comparison: What do you .
Google Pixel 3a vs Google Pixel 3 Speed Test, Camera Test, Battery Life & Speakers! #teampixel #giftfromgoogleTest covers boot up, specs, games (Fortnite, PU. Google Pixel 3a vs Pixel 3 Speed Test, Battery, Speakers .
With a large amount of internal storage, you can save more files and apps on your device. 5. Has integrated LTE. Google Pixel 3 ( Qualcomm Snapdragon 845) Google Pixel 3a ( Qualcomm … Google Pixel 3 vs Google Pixel 3a: What is the difference?
Dom sets the new Pixel 3a up against last year's Pixel 3 to find out how Google's mid-range marvel compares to the flagship. They've got the same camera and . Google Pixel 3 vs Pixel 3a comparison
May 09, 2019 · As far as external components, both have a single camera lens in the top left corner and a smooth "window" above the matte body. The 3a lacks a front-facing speaker below the screen, as you'll . Google Pixel 3a and 3a XL vs Pixel 3 and 3 XL: Half as .
Google Pixel 3a vs. Pixel 3: How Does the $400 Phone Stack .
Google doesn't compromise on slimness for the Pixel 3a and 3a XL, both of which are the same 0.3 inches thick as the Pixel 3 and 3 XL. The 3a is a bit longer and wider than the Pixel 3, though, while the 3a XL is just a hair longer than the 3 XL. (Google Pixel 3a XL and 3a)
May 11, 2020 · The Pixel 3 has a glass back with a coating that gives it a matte finish, whereas the Pixel 3a is made out of polycarbonate (aka plastic). The Pixel 3a has the best camera of any sub-$400 … Google Pixel 3a vs. Pixel 3: Which should you buy .
Oct 30, 2019 · The Pixel 4 comes in Oh So Orange, the Pixel 3a in Purple-ish, and the Pixel 3 is available in Not Pink. Many of the colorways also come with accented power buttons with varying shades of … Google Pixel 4 vs Pixel 3 vs Pixel 3a: Which Google phone .
Aug 28, 2020 · The Pixel 4 is Google's latest and greatest smartphone offering, but if you don't feel like spending close to $1000, the Pixel 3a offers a very similar experience for significantly less. Google Pixel 4 vs. Pixel 3a: Which should you buy .
Google Pixel 3a Review: A for Ace! Все актуальные видео на армянскую, азербайджанскую, грузинскую тематику. Видео о армянской культуре, Армении, армянах и все что связанно с ними. Google Pixel 3a Review: A For Ace!
Aug 09, 2020 · The Pixel 3A has a slightly larger display inside a slightly larger body than the Pixel 3 -- we're talking millimeters. The 3A has a 5.6-inch OLED … Pixel 3A vs. Pixel 3 specs: Cameras, processor, battery .
May 08, 2019 · The new Pixels also have tweaked batteries – it’s a 3,000mAh unit, that Google says is good for 12 hours of video playback, on the 3a (versus the Pixel 3’s 2,915mAh) and a 3,700mAh … Pixel 3a vs Pixel 3: Which Google phone should you buy .
May 09, 2019 · The Pixel 3 XL (left) and the Pixel 3a XL (right). The Pixel 3a will cost $400, $200 cheaper than Google's current $600 price tag for the Pixel 3. The Pixel 3a XL will cost $480, $220 less than . Google Pixel 3 Vs. Pixel 3a: Price, Camera, Specs, and .
Google Pixel 3 XL. Here we compared two smartphones: the 5.6-inch Google Pixel 3a (with Qualcomm Snapdragon 670) that was released on May 7, 2019, against the Google Pixel 3 XL, which is powered … Compare Google Pixel 3a vs Pixel 3 XL: which is better?
Sep 29, 2020 · OLED displays are known for their brighter, more vivid colors and better refresh rates compared to traditional phone screens. Performance. The Pixel 3a runs on Qualcomm Snapdragon … Google Pixel 3a vs Pixel 4 vs Pixel 4a
Get the Pixel 3. It's the better phone in every way. Yes battery life is a little better on the 3a because it's a slower chip. So you trade performance for battery life. The 3a is a great phone the Pixel 3 is the better … Pixel 3 vs 3a : GooglePixel
Jul 02, 2019 · Google Pixel 3 vs Google Pixel 3a: Battery Life. The Pixel 3 and Pixel 3a range have decent battery ratings. The Pixel 3 offers up a 2915 mAH, with an ever so slightly better offering from the Pixel 3a, which gives you a 3000 mAH battery. The Pixel 3 XL has a 3430 mAH battery, while the Pixel 3a … Google Pixel 3 vs Google Pixel 3a: do you need the more .
May 09, 2019 · The Pixel 3a has the same camera hardware as the Pixel 3, and when you put the results side-by-side, it’s hard to tell the difference. However, the underlying hardware in the Pixel 3a vs the Pixel. Pixel 3 vs Pixel 3a: What you give up to save $400 [Video .


We live in a world today that is based upon scientific research and innovation. Kids are being revealed to these topics at an earlier age as well as currently their toys are even ending up being technically progressed. We live in an information age where different scientific researches are the basis of just what it is the globe is becoming for future generations. These subjects have made their means right into every little thing that we do and also every component of our lives, from wellness to electronics. Researchers and also technology professionals are working on a daily basis in a variety of different self-controls to boost the globe that we live in.
* Medical care is one of the areas where science and also modern technology are essential. From the study that is being done by a CRO firm to the diagnostic examinations that are being performed at health centers on a daily basis, they are all based upon scientific research. Without the innovation of scientific research, our understanding of diseases would not be what it is today. The modern technology and also science that has actually boosted medical care has enhanced the lives of millions of individuals worldwide.
* Even the cars that we drive have become much more sophisticated, which called for the hard work of different researchers to accomplish. There has actually been a lot read more of job done to create hybrid and also electric cars to enhance fuel performance and also exhausts. These scientists are helping to reduce the impact of fossil fuels on the setting. Cars and trucks likewise have a lot of technology, like the infotainment systems that connect our automobiles with our phones and self-governing driving features.
* Mobile phone have actually altered the manner in which the world interacts with one another. It has actually put a little computer in the pockets of over 60% of the globe's population. Computer researchers strive each day making better items or software application to update the phones that we currently have. This also includes modern technologies in tablet computers and laptop computer systems.
* There is also science involved in the food that we consume nowadays. There are individuals who are working to discover far better means to expand crops as well as to increase the pets that we use for food. They are likewise examining numerous diet regimens and determining exactly what is healthy and balanced for an individual's body.
There is scientific research and also technology all over us. It has gotten to the point that we might not also understand it due to the fact that it is so commonplace these days. It has created an impressive globe that we stay in with infinite opportunities. Individuals are functioning everyday to boost as well as improve those innovations that we are coming to be a growing number of dependent on do the easy things that we do on a daily basis. Just take a look around, and you will certainly understand the quantity of modern technology that we have actually ended up being use to utilizing daily.
Learn more about cro pharma today.


When using a wireless charger, you can charge your device without the use of a cable. Wireless chargers use electromagnetic field force to transfer energy to the device. The device to be charged is placed on the wireless charger pad, and when you remove it from the pad, the device stops charging. Plug in chargers may cause your device to wear out unlike when using the wireless charger. There are many brands and models of wireless chargers in the market. Research would be needed so that you can find the best among them. Here are some features to help you find the best wireless charger.
The best wireless charger has a wattage that is compatible with your device. Wattage reflects how fast, or efficient the wireless charger will be able to charge your phone. Information about the wattage size for your device can be gotten online or from a trustworthy wireless charger dealer. You can also look for one that is close to the wattage of the plug-in charger that came with your device when you bought it. When you buy a wireless charger that offers low power, it can charge your device, but it will be much slower. Hence, you can choose to buy a wireless charger that has wattage close to the wattage on your device.
Wireless chargers are of two major types, and you should choose one that suits your needs. One is a wireless charger that has a pad that is laid flat on a surface, and the other is one that has a pad that is on a stand that allows your device to stand upright, so the screen is facing you. Keep these devices close to the charging station. The stand-up kind of wireless chargers are much preferable because you can use your device comfortably when it is still charging. Among the two designs, choose one that suits your needs.
Consider the cost of the wireless charger before buying it. The pricing on wireless chargers varies depending on various reasons. Search online or through a trusted wireless dealer to find out the pricing of the different wireless chargers in the market and choose one that suits you best. Operating under a budget will help you narrow down to those wireless chargers that are within your price range and ensure that you choose a wireless charger that is of good quality. When you buy the wireless charger, you will not be charged any extra subscriptions or anything for you to be able to use the gadget.
You can click here for more regarding MAGFAST chargers.


By its very nature, the military supply chain is extremely complex and risky. It involves an unstable and unpredictable demand, moving end supply points, and ensuring equipment readiness for war. The DoD is also challenged with fragmentation across its extensive network infrastructures, along with disparate sensor technologies that track the whereabouts and status of its assets.
The U.S. military has made steady progress achieving its TAV goals with advances in automatic information technology, including implementing Radio Frequency Identification (RFID) for asset tracking. However, it continues to face interoperability challenges due to “stovepiped” networks and IT systems that were developed independently with differing requirements and data formats. The challenge is providing a unified infrastructure that can effectively capture massive amounts of data – and turning that “Big Data” into actionable insights.
This is what the Internet of Things (IoT) is all about. The IoT is changing lives in the commercial sector, connecting everything from smartphones, smart appliances, smart home thermostats, wearables and much more. The application of the IoT in the manufacturing industry – dubbed the Industrial Internet of Things (IIoT) or Industry 4.0 – leverages intelligent, connected devices to greatly improve operational efficiency, productivity, and profitability across manufacturing plants and supply chains.
With the rapidly evolving IoT market, the DoD is looking to capitalize on civilian successes and lessons-learned to help manage the sheer volume of data produced for both tactical and logistics operations. DoD representatives actively engage with industry leaders and participate in conferences such as RFID Journal Live to keep abreast of the latest advances in RFID and related IoT solutions, including Enterprise Sensor Integration (ESI) technology.


February 20, 2024
GPTVerse and SKALE Network Partner to Pioneer a New Era of AI and Blockchain Integration
Explore the Collaboration Bringing New Seamless AI Experiences on Blockchain with Zero Gas Fees
In the dynamic intersection of artificial intelligence (AI) and blockchain technology, the potential for innovation is immense, yet not without its challenges. The integration of AI into various sectors promises to unlock unprecedented levels of creativity and new applications. However, the blockchain aspect, particularly the issue of gas fees, has been a significant barrier, limiting the full exploration of AI's capabilities. Addressing this critical challenge, GPTVerse emerges as a beacon of integration, harnessing the power of AI while leveraging blockchain's security and transparency. Today, SKALE, the world’s fastest blockchain network, is pleased to announce a strategic partnership with GPTVerse. The catalyst being the zero gas fee structure of SKALE being the ideal blockchain to run AI-based applications.
GPTVerse represents a comprehensive ecosystem where blockchain meets AI. With a focus on enhancing user engagement through simplified interactions with AI technologies, GPTVerse integrates a variety of AI applications into a single platform. This consolidation facilitates a unified account and payment method, streamlining the user experience across multiple platforms, including web, mobile, browser extensions, and even the Metaverse. Targeting crypto and AI enthusiasts, GPTVerse stands out for its commitment to accessibility and innovation, bridging the gap between complex technologies and everyday users.
The partnership with SKALE was a deliberate choice, driven by SKALE's robust community support and its specialized app chain structure for AI projects. This collaboration is a testament to GPTVerse's strategic vision, recognizing the importance of a scalable, cost-effective blockchain solution that can accommodate the high demands of AI applications. SKALE's infrastructure not only eliminates gas fees but also ensures scalability and speed, essential features for the dynamic and compute-intensive nature of AI-driven platforms.
SKALE Network itself is a pivotal player in the blockchain space, offering a solution that directly addresses the scalability and cost issues that many AI companies face when looking to integrate blockchain technology. By providing a platform where transactions can occur without gas fees and with instant finality, SKALE empowers projects like GPTVerse to push the boundaries of what's possible, enabling a wider range of applications and use cases to come to fruition.
Reflecting on the partnership, Hasan Özkul, CEO of GPTVerse, remarked, "As GPTVerse, we develop multi-platform artificial intelligence chatbots and we have a working model that consumes Gptv tokens as we correspond. For this, we needed a fast, scalable, and cheap chain. Skale network met all our needs and charged 0 gas fees. We found that it works with our applications and can be integrated quickly. We express our gratitude to them." This statement encapsulates the mutual benefits of the partnership, highlighting the alignment of goals and the shared vision for a future where AI and blockchain technology coalesce seamlessly.
For those interested in exploring the possibilities offered by GPTVerse, the platform is readily accessible through various channels, ensuring a user-friendly experience for engaging with AI technologies. By capitalizing on the SKALE Network's capabilities, GPTVerse not only overcomes the financial and technical hurdles associated with blockchain transactions but also sets a new standard for the integration of AI and blockchain, promising a landscape where innovation is limitless and accessible to all.
SKALE is the world's fastest blockchain, designed for fast, secure, user-centric Ethereum scaling. SKALE chains offer zero gas fees to end-users and have advanced features such as AI/ML smart contracts, on-chain file storage, interchain messaging, zero-cost minting, and enhanced security features.
The SKALE Network enables developers to deploy their own EVM blockchain in minutes without sacrificing speed, security, or decentralization. Welcome to the SKALEverse.
More Information on SKALE


NORASIST participates annually in
The Northeastern Ohio Science and Engineering Fair (NEOSEF)
by having several of our members serve as Special Judges
in the category of Information Science and Technology.
Established in 1953, the Northeastern Ohio Science and Engineering Fair (NEOSEF)
is a non-profit, all volunteer organization, whose goal is to get young adults interested
in science and engineering by participating in a science and engineering competition.
The Fair has been held every year since 1954 and is affiliated with the
Intel International Science and Engineering Fair (ISEF).
This year, Penny O'Connor and Sue Fensore served as Special Judges
at NEOSEF on Tuesday, March 15, 2011 at Cleveland State University.
Congratulations to Scott Hulver,
NORASIST's first place winner,
and also the recipient of a $75 award from NORASIST!
Graham Lynch and Jack Kenyon
each received certificates of high honor from NORASIST.
Scott Hulver's project, "Polycards," incorporated a smart phone and an index-card-like approach to
studying multiple properties of chemical elements or attributes of French verbs, e.g., by doing his own computer programming.
Graham Lynch's project, "Adaptive software interfaces: Streamlining productivity by modifying computer interaction,"
highlighted Graham's extensive computer programming abilities, and his fascination with HCI (Human-Computer Interaction).
Jack Kenyon's project was entitled "The effect of familiarity of a target in a visual search" and incorporated ideas
related to known-item search vs. open-ended search. Sue suggested to Jack that he might want to also take a look at the book
"Search Patterns" by Peter Morville and Jeffery Callender.
Complete list of Science Fair winners
Thank you to all of the students for your hard work,
as well as for discussing your projects with us!!!
A big thank you to all of the NEOSEF volunteers for organizing such a great event!!!
Looking forward to next year!!!
Photos coming soon!!!


Round package, high assembly flexibility, symmetric radiation pattern
Related Product Groups
Additional Documentation and Information
|Document Type||Title||Date||File Type||File Size|
PointLED - It's nice to be different (Deutsch)
Die vorliegende Applikationsschrift gibt einen Einblick in die universal einsetzbare und vielseitig montierbare Lichtquelle der...
PointLED - It's nice to be different (English)
This application note provides insight into the universally deployable and flexibly mountable light source of the PointLED product family. A...
Behaviour of InGaN LEDs in Parallel Circuits
Some years ago, the color range of Light Emitting Diodes (LEDs) on the market was limited to the red to green spectrum. Then, blue LEDs were...
Dimming InGaN LEDs
The first true ancestors to the Indium Gallium Nitride (InGaN) LED evolved last decade. These took the form of blue LEDs utilizing Silicon...
Dimming LEDs with respect to grouping current
In the design of a driving circuit for LEDs, the dimming behaviour is an important topic to fulfil the end customer requirements. The intend...
Driving LEDs with a PIC Microcontroller
Nowadays, applications increasingly make use of LEDs as a replacement for traditional light bulbs. For example, LEDs are frequently used in...
|Application Note||Processing of SMD LEDs||2013-10-01||1073 KB|


What is the difference between 5G NR pdcch and LTE pdcch
5G NR pdcch vs LTE pdcch
LTE pdcch spread across the channel bandwidth while 5G NR pdcch locations depend upon the coreset and its parameters.
As you can see from the figure, in case of LTE you don’t need a parameter for frequency domain as pdcch spread across the channel bandwidth whereas in case of 5G nr, you need some parameters to define frequency domain in addition to the time domain.
Like LTE 5G also support blind decoding of pdcch. In case of lte, PCFIH carries time domain information i.e. number of symbols carrying pdcch. But in 5G NR we need time domain information as well as frequency domain information. All these information are included in coreset parameters. We will discuss about coreset and its parameters in my another blogs.


Oil is to the 19th and 20th Century what Lithium batteries are to the 21st Century in the context of energy storage. Consider the difference between accessing a sludge deep underground, pumping it to the surface, transporting it to a refinery - via pipeline, rail, or ocean going tankers, refining the sludge to a useable product, transporting this to a distributor and then burning it for electricity or transportation. Alternatively, we can convert sunlight directly into electricity and store it in a battery. We are on the verge of a major change in the way we capture, store and deliver energy. When the Tesla Giga factory comes online early next year, lithium batteries in our homes and cars will change the infra-structure of the petroleum and electrical distribution that we are so accustomed. Lithium batteries because of their charge density to weight are found in all our mobile devices and they lead the revolution.
Our mobile phones and tablets need to be charged regularly, therefore, having a charging station in your home or business is organizing and convenient.


Suwannee Education Foundation (SEF) is rolling out a new grant project this year, called Ed Tech for Teachers. This project will be focused on offering needed resources and support to teachers in Suwannee County School District as they adapt to the 21st-century classroom environment and STEM requirements.
SEF plans to host educational technology workshops each year, intended to help teachers purchase STEM materials and learn new technologies involved in teaching STEM curriculum including computer coding, robotics, engineering, and science lessons, in addition to helping teachers learn how to utilize resources such as Google Classroom.
The first Ed Tech Workshop will be held on Wednesday, March 1, 2017. This workshop will demonstrate Ozobot (small, spherical robots) classroom lessons for teaching computer coding in grades two through eight.


The heart of the system, this compact electric drive is one of the most powerful and efficient drives on the market. It can output industry leading power of up to 3750 watts, a full 5 hp, while generating up to 180n/m of torque to the back wheel and boasting a Power to Weight ration of 176watts/kg. It is made to downhill the uphill.
Air cooled by an internal fan that turns at the same revolution as the motor stator. Pulls air through the motor releasing the heat generated by the motor windings. Custom machined bilklet aluminum heatsink transfers heat away from the motor core.
Dual gear reductions allow for an optimized motor eficiency and pedal cadence. A 24t to 38t belt drive reduction combines with a 9.3X planetary reduction allowing the HDM to reach top pedalling speeds of 78kmph and also the ability to climb the steepest of trails. (Downhill the Uphills)


Francine Chan, Teo Cjia Min
Say No To Electric Shocks!
Bare Conductive was a week long materials workship/masterclass held by SP x Chris Lefteri. In this intensive workshop, we learned about different materials, some still in the experimental stage and found out more about materials development before they are mass produced. We were also exposed to rare materials such as different types of sillicone, materials that react to UV as well as rare types of leather and how they can be incorporated into design.
In the second part of our workshop, we had a hands on session with experimentation and prototyping a lesser known product, known as Bare Conductive paint. It is a unique type of paint that can safely transmit electric currents and we were required to come up with 5 different ideas per group of two, which were eventually shortlisted and created in physical form.
Peg it is an interactive clip board to attach notes and reminders. When clips are clipped on and not pressed down, nothing will happen but when the painted side of the clip is pressed against the black strips, the clip lights up. The LED light acts as a reminder for urgent notes. The black strips are painted on using bare conductive paint which allow electricity to run through safely and light up the bulbs and the product has a raw finish to add a a touch of fun into any space.
Buzzboard is a safe and interactive teaching tool for children to learn about circuits. Buzzboard comes with LEDs and resistors with labelled tags that serve as a teaching aid. Batteries need to be clipped onto the wires at one end of the board. With its simple set up, learning will be a fuss free event! The boards are made of cork and painted with bare conductive paint which is safe to touch even when the batteries are turned on.


Allow me, for a moment, to complain about Bluetooth.
Who the HELL designed this flaming bag of waste? Has anyone ever gotten ANY Bluetooth device to work correctly and consistently? Don't think too hard, I'll answer it for you. No.
My first experience with Bluetooth was when I wanted to sync my Pocket PC with my laptop, using Bluetooth, a couple of years ago. It was easy! I just bought the crappy little Bluetooth dongle thing, attached it to my laptop, got the ActiveSync connection going, and...nothing. After spending what seemed like forever configuring this miracle of technology, I discovered that you could only sync certain things over Bluetooth. Why? For no goddamn reason, since everything works just fine over a serial connection.
A few months ago, the keyboard crapped out on my Tablet. I got this cool little fold-up Bluetooth keyboard. It didn't work right. For some reason, the driver needed a security code each time I tried to use the keyboard. I had to choose it each time, because Bluetooth would forget everything I had taught it.
I got a new Tablet. I also got a Treo. They both support Bluetooth, so connecting them should be the easiest thing on earth. This time, ActiveSync wasn't half-crippled like previous versions were. It's easy now. You just make sure both devices are broadcasting and allowing discovery, select "Sync via Bluetooth," and wonder why the hell it worked yesterday but doesn't work now. Why the partnership just disappears from time to time. Why I have to go in and discover ActiveSync services through the Bluetooth dialogs over and over again.
Then I got a Bluetooth earpiece to go along with the phone. Everything would be different. In order to securely partner the earpiece to the phone, I had to type in the top-secret security code. Which was 0000. It would always be 0000. It was hard-wired. For security, every Motorola H500 headset on earth has the same security code.
Not that the security code matters anyway, because I've had to re-enter the partnership three times now. It works great for a couple of days, and then disappears as if it's never been there in the first place.
At least the headset works sometimes. When I want to use the earpiece, the phone call goes through the phone. When I want to turn the earpiece off, the call goes through the earpiece. When I try to switch them, the call disconnects.
I have never had a Bluetooth device that works reliably. Ever. And it's not just one piece that's giving me trouble. It's every damn device that relies upon Bluetooth. Bluetooth is a broken, shitty technology that should be taken out back and shot.


School stationery brings to you a wide range of technology from desktop computers and laptops to printers, fax machines and accessories.
The computer hardware section including desktop computers, printers, multi function machines, routers, scanners and more. A wide range of brands such as Samsung, Dell, Brother, HP, Canon, Laxmark and Konica.
Computer media supplies you will find floppy disks, cd storage, flash drive memory sticks, data tapes and cartridges.
Computer accessories hosts a range of products from equipment security to dust covers and computer bags including computer maintenance and cleaning products.
Keep your computers up to date in the computer software section with products such as Sage, Microsoft Office and Norton security software.


If one has their personal firewall then it means that it can stifle the jitters one may have about their computer being attacked. If a person is constantly using a particular Wi-Fi connection then it means that this connection is a gateway for hackers to take over their computer. In such cases, one can make effective use of the firewall as it polices an individual’s connection. It is also a vital tool for your computer’s “security arsenal” accompanied by an “anti-virus” tool.
What is a FortiGate Firewall?
If one wants to safeguard their business’s particular local network then FortiGate firewall Abu Dhabi is the best solution that an individual can make use of. FortiGate has some sort of specialized firewall which comprises of a brilliant “web management interface”. It protects an individual’s particular business’s network. Due to its features like UTM (unified threat management) its specific hardware devices are very powerful.
A firewall has provided immense support to a person’s personal computer. Some of the additional benefits of firewall have been discussed below.
A firewall monitors everything that is entering in a specific computer system. On the other hand, such a firewall which is two-way monitors all that traffic which is exiting a particular network too. Information is being sent over networks through packets. These packets are strictly monitored by firewall because there are chances that a specific packet may contain a virus. A person may even send a virus so a two-way firewall with its double-check gives full protection to a computer system.
Due to the presence of firewall all sorts of Trojan horses are blocked. If such types of viruses are attached to a particular file then they will cause additional damage to all other files too. So, a firewall protects your files from all such threats too.
If an individual has a firewall then their computer is surely protected from all sorts of hackers too. It prevents all from sorts of peeping-tom intrusions.
Even the IT support Abu Dhabi is such a unique service where a variety of businesses have been offering help with particular computer technology to the ones who are in the need of it. If an individual’s computer faces any sort of threat then they can surely opt for IT support service.


The microcontroller used is the MBED LPC1768 Evaluation Board. We chose this board because it is a development-friendly board and it has sufficient functionality to support all of our design criteria. A high-level overview of our design requirements are as follows -
GPS Positioning Information
Our device can collect positional data from an external GPS unit mounted on the machine. The GPS unit outputs a RS-232 based communication signal that will contain the current position along with additional information about the accuracy and quality of the data.
CAN Bus Interface
The CAN system is made up of two different CAN buses, one for the steering control and one for the miscellaneous information on the machine. For the steering CAN system, our board's CAN pins are connected to the steering bus of the machines that support steering over CAN and is responsible for the steering commands of the machine.
Analog Voltage Interface
For older machines that do not support steering commands over the CAN bus interface, our project achieves steering control by supplying voltage to the machine’s valves.
SD Card Storage
The SD card is used to store the data collected which can then be analyzed during the testing process. Each test will involve collecting positional data from the GPS and attitude information from the IMU, which is stored on the SD card along with additional diagnostic information.
Internal Measuring Unit (IMU)
An IMU is a device that consists of gyroscopes and accelerometers to measure the angular rate and acceleration of the object to which it is attached. We chose to use the OpenIMU300 which contains its own processor to offload the reading and processing of the sensors from the main microcontroller. The IMU is used to calculate roll, pitch, and yaw information of the machine in addition to the raw angular rate data, and output this to the microcontroller over an SPI connection.


Polk Somebody recently asked me what I enjoyed the most about RVing. It didn’t take long for me to respond that it was the people you meet at the campground. I don’t know of anywhere else that you can meet complete strangers and within a couple of hours feel as if you’ve known them forever. People at campgrounds are some of the friendliest most helpful people you will ever meet. I have seen it time and again when a camper pulls in and they are having problems with something and their next door neighbor, whom they never met, is right there to assist them. I have also observed and assisted several campers who were new to RVing and not really sure how to set their unit up when they arrive at the campground. While talking to these new Rvers it came up more than once how they wished that they had a checklist to follow to make things easier.
Massey Ferguson Tractors Discussion Forum Archived Messages
For most people it is only a matter of lack of knowledge, perhaps followed by getting some bad information. How the coil works with points and condenser to create a high voltage spark is covered in another article. This article is a discussion about electrical polarity of the coil and spark plugs. The ignition coil is essentially a low voltage to high voltage transformer with about to 1 ratio of windings and voltage.
The coil case is not grounded, and both primary and secondary windings inside are “floating” or isolated from the case.
Experiment with an electronics kit! Build circuits with batteries, resistors, light bulbs, and switches. Determine if everyday objects are conductors or insulators, and take measurements with an ammeter and voltmeter. View the circuit as a schematic diagram, or switch to a lifelike view.
The friendliest, high quality science and math community on the planet! Everyone who loves science is here! I am working on a lab dealing with DC circuits. I am a bit confused about voltmeters and ammeters. We used a carbon composition resistor which obeys Ohm’s law and therefore is a linear device. My Paint drawing aren’t too pretty but I hope they convey the problem better. The following circuit was setup: Yes, because current is not consumed in a circuit.
It’s value remain the same throughout the circuit. It is only the electrical energy that is consumed or transformed in the circuit. In the circuit above, the original current i. The resistor converts the electrical energy to heat, dissipating it into the ambient air.
Secret Arduino Voltmeter – Measure Battery Voltage
July 9, A little known feature of Arduinos and many other AVR chips is the ability to measure the internal 1. This feature can be exploited to improve the accuracy of the Arduino function — analogRead when using the default analog reference. It can also be used to measure the Vcc supplied to the AVR chip, which provides a means of monitoring battery voltage without using a precious analog pin to do so.
In this article, I have incorporated some additional improvements. Motivation There are at least two reasons to measure the voltage supplied to our Arduino Vcc.
An automotive voltmeter can help you with that job. This device lets you know if your car’s battery is running out of power by displaying a voltage reading on the dashboard. Since not all vehicles have a voltmeter installed in them, you’ll need to fit in one on your own.
Sending Unit Extension Water Temp Sending unit The ‘new’ dash unit – ’66 gauge clusters used to be a dime a dozen at the swap meets. They were the bait that the vendor uses to tell you what kind of car he’s parted out and is selling. They can run anywhere from five to fifty bucks for the exact same unit. They are getting increasingly harder to find. EBAY regularly has them posted and typically go for between 20 and 40 depending on condition. Look them over closely. Forget about the front bezel and the lenses because you’re going to replace them anyway.
You’re after the internals and the back housing. Make sure the units are relatively clean, straight, not been sitting out exposed to the weather. Housings with rust on the back are typically not a good sign. You can find one out there that’s not rusty. After you find your cluster, buy a fresh bezel, a new lens set, the paint, and 7 light bulbs. There are different bezels for different applications. The 65’s that had the gauge package as a factory option had a bezel with a half circle trim ring along the top side of the bezel.
How to Control an Electromagnet With an Arduino
It is easy to test a sensor to make sure it is working with just a voltmeter and propane torch. Take the sensor you want to use out of the car and hook your voltmeter up to the sensor wire and sensor ground wire using the chart on this page to figure out the wires. Once you have it hooked up you should be reading 0 volts. It takes a few seconds to get it up to temperature and you should see the voltmeter go to.
Sep 04, · Chevy Forums FREE technical assistance for your restoration and repair. Model specific subject matter experts, classified ads and more.
Testing the DC voltage output of the power supply using a digital multimeter can help you isolate any potential issues and determine if you have a bad power supply. Always use the probes to touch wires and terminals — never use your fingers. If you can’t hold the wires or terminals with the probes, use a stand or binder clip to secure them so you don’t have to hold them with your hand. Test the outlet and surge protector into which the power supply has been plugged.
Power off the computer, unplug it from the surge protector, and then unplug the surge protector from the wall outlet. Set your digital multimeter to measure AC voltage. Set it to the range of V.
Electronic Test Equipment Model Numbers
Ask Question Step 2: After experimentation with the blades, however, I discovered that 3 blades works more efficiently than 6 with my setup. These holes receive the bolts that the blades are attached to. Drill a hole axially into the center of the ABS “hub” piece to receive the “corkscrew” end of the motor.
Nov 22, · I just want some info on the voltmeter to see if everything is working right. When I just turn the key on it reads 12volts and when I crank the engine, and let it idle, the voltmeter reads 14volts. Are they brite enough in daylight? How do you hook up water sending unit? Appreciate any help on this. Thanks, Gary#? tequilatrk is offline.
Before using a voltmeter for the first time, learn how to set the device correctly, and test it out on a low-voltage circuit such as a household battery. This article describes how to test for voltage. You may also be interested in using a multimeter to test for current and resistance. Steps Setting the Device 1 Set your device to measure voltage.
Most voltage-measuring devices are actually multimeters, which can test several aspects of electrical circuits. If your device has a knob with several settings, set it to one of the following: Household circuits are almost always Alternating Current. Batteries and portable electronics are typically Direct Current. Most voltmeters have several options marked for voltage, so you can change your meter’s sensitivity to get a good measurement and avoid damaging the device.
If your digital device has no range option, it is “autoranging” and should detect the correct range itself. Otherwise, follow these guidelines: Choose a setting higher than the maximum expected voltage. If you have no idea what to expect, choose the highest setting to avoid damaging the device.
BU-408: Charging Nickel-metal-hydride
Pick up a pot and play with it , 20k should be good. Connect 24v to pin 1, pin 3 to ground, and pin 2 the wiper to ground through a resistor. Measure voltage between the pot and the resistor.
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DC Circuit analysis Video transcript – [Voiceover] Let’s say you have a circuit here and you had a battery with a voltage v and there were resistors one, resistor two, and resistor three up here, and there was current flowing through here. What if you wanted to experimentally measure the voltage across some of these elements?
You’d have to use a voltmeter. Voltmeter looks like this. So a circle with a v in it is the symbol we use for a voltmeter. How do you use it? You take that voltmeter, you bring it over to here. I can’t plug it in the circuit like that. What I do is I take the leads of the voltmeter and I just connect them to either side of the circuit element that I want to determine the voltage across. So if I do this and I connect those leads right here, this voltmeter will tell me the voltage across R three.
Or take the voltmeter, put it over here, and if I connect the leads across R one in parallel, notice I’m hooking up the voltmeter in parallel. Voltmeters you always hook up in parallel. This now will tell me the voltage across R one and if I wanted to make sure my battery was functioning correctly, I could take my voltmeter and I can hook up the leads across the positive and negative terminals of the battery and see if the voltage across the battery is what I think it is.
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This Dodge network protocol diagram is another example of multiplex networking. Most garages will charge you top dollar to fix this but you can do it in a couple of hours just using a voltmeter. This Dodge bus wires above looks similar to Ford bus wires. However, during troubleshooting, all you care is to check the PCI bus wires at DLC terminal shown here in green lines.
You can get this exact wiring diagram with correct wire colors and connections from your local parts stores or get it online from ATS. Before using this diagram:
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Kelvin 4-wire Resistance Measurement Chapter 8 – DC Metering Circuits Suppose we wished to measure the resistance of some component located a significant distance away from our ohmmeter. Such a scenario would be problematic, because an ohmmeter measures all resistance in the circuit loop, which includes the resistance of the wires Rwire connecting the ohmmeter to the component being measured Rsubject: An ingenious method of measuring the subject resistance in a situation like this involves the use of both an ammeter and a voltmeter.
Thus, we should be able to determine the resistance of the subject component if we measure the current going through it and the voltage dropped across it: Current is the same at all points in the circuit, because it is a series loop. Our goal, though, was to measure this subject resistance from a distance, so our voltmeter must be located somewhere near the ammeter, connected across the subject resistance by another pair of wires containing resistance: At first it appears that we have lost any advantage of measuring resistance this way, because the voltmeter now has to measure voltage through a long pair of resistive wires, introducing stray resistance back into the measuring circuit again.
Thus, those long lengths of wire connecting the voltmeter across the subject resistance will drop insignificant amounts of voltage, resulting in a voltmeter indication that is very nearly the same as if it were connected directly across the subject resistance:
Physics Lab Equipment
Current means the flow of some conserved quantity, like water under a bridge. The ammeter in series with a mystery component is delivering all of the current into an electrical terminal of the mystery component, so we expect the current in the ammeter to match the current in the mystery component. If you stop calling the device an ammeter, and call it instead a current meter, that should clarify the situation. The ammeter measures the current through the ammeter, which by virtue of the series connection establishes identical current through the mystery component.
It has to be identical, because like a bridge the current doesn’t vanish into the bridge, all that water eventually comes out the other side. Current into ammeter terminal 1 comes out ammeter terminal 2.
I’m trying to hook up a old light I got and there are 4 wires coming out of it. The are white black green and red and its volt. What I’m connecting to only has 3 wires that are black white and green.
On the back of phone jacks, there are usually four connections—one red, one green, one black, and one yellow. The red and green “Christmas trees” wires power the first, or primary, line in your home. The black and yellow “bumble bees” wires don’t get used unless a second line is added to your home. Adding a second line to your home is an easy task that even the least experienced do-it-yourselfer can do without costly interference from a telephone technician.
First, let’s look a few scenarios where someone may need a second line in their home: A home office may require a dedicated line for business purposes. You may have children who need their own line so that they stop tying up the main phone line. Many people like having a dedicated number for faxes. Dial-up ISP users may want a dedicated line for their online surfing. We’ll also go over adding a line to a room that currently doesn’t have a phone jack, so you will be able to pick and choose where you want the second line to be located.
Step 1 – Activate the New Phone Line The first step to adding a second line is calling your phone company. Tell them that you want a second line added to your account.


Michael McKubre began his undergraduate studies at George Washington University and completed his B.Sc., M.Sc. (with honors) and doctorate in chemistry and physics at Victoria University, Wellington, New Zealand. During his Ph.D. studies he taught undergraduate and graduate courses in Electrochemistry, Surface Chemistry and Electronics. On completing his Ph.D., Dr. McKubre was granted a two year Postdoctoral Research Fellowship at Southampton University, England. There he undertook research into the electrochemical kinetic processes involved with flow-through electrochemical reactors; researched, designed, constructed and employed a novel AC impedance device to characterize flow-through reactors; assisted with the supervision of Ph.D. and M.Sc. students working on related and derivative projects. Dr. McKubre joined SRI as an electrochemist in 1978 and was appointed manager of the electrochemistry program in 1982. He is an internationally recognized expert in the study of electrochemical kinetics and was one of the original pioneers in the use of ac impedance methods for the evaluation of electrode kinetic processes. Dr. McKubre also introduced harmonic impedance spectroscopy (HIS) as a tool to measure rates and mechanisms of electrochemical reactions. These techniques have found wide application in the fields of battery science, fuel cells, corrosion, electrochemical sensors, hydrogen production and storage. In the last decade and a half as Director of the Energy Research Center, Dr. McKubre has applied himself to the discovery and application of potential new energy sources, specifically those associated with the deuterium/palladium system. He is recognized internationally in this field as an expert in the areas of PdH and PdD electrochemistry and calorimetry and has directed research and undertaken consulting in this area for the Electric Power research Institute (EPRI), the Japanese Ministry of Industry and Technology Innovation (MITI), the Defense Advanced Research Program Agency (DARPA), the US Naval Research Laboratory (NRL) and Office of Naval Research (ONR), and Italian National Energy Agency (ENEA). In 2004 Dr. McKubre helped initiate and complete a review by the US Department of Energy (DoE) of “cold fusion” in collaboration with Profs. Peter Hagelstein (MIT) and David Nagel (GWU and ex NRL). Once dismissed as a mistake or misnomer, the emerging experimental evidence of lattice nuclear effects is now recognized as having significant potential energy and strategic significance. Dr. McKubre was co-chairman of the Third International Conference on Cold Fusion (ICCF-3) and has served on the International Advisory Committee (IAC) of the ICCF since it’s inception in 1990. source
Dr. McKubre was featured in the 60 Minutes segment on cold fusion and also on the ABC News show Nightline regarding the Patterson Power Cell (part 4).
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Demo submission: May 12, 2017
Demo acceptance: May 31, 2017
Demonstrations: July 22-25, 2017
The 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) is pleased to invite researchers from both academia and industry to submit applications to present live demonstrations of their research results and computer vision systems. This provides a unique opportunity for researchers to showcase their work in front of thousands of CVPR 2017 attendees
All submissions will be reviewed.
Demonstrations will be held in parallel with poster sessions (7, or 8 sessions in total) during the Main Conference (July 22-25, 2017).
Interested demo applicants should fill out and submit a CVPR 2017 Demo Proposal Form electronically and email it along with any supporting material to the Demos Chair at: firstname.lastname@example.org and email@example.com. All presenters of accepted demos must be registered to CVPR 2017. The demo chair will select accepted demonstrations according to their scientific merit and relevance to CVPR 2017.


LetsPower Car Socket
Premium Charging Socket for Your Car
You always need to be ready with access to power, whether you are at home, office or outside. It becomes even more important when you’re commuting or travelling, like in your car. LetsPower will fulfil all the power needs for your important gadgets like mobile phone, power bank, ear pods, speakers, camera batteries, etc. Be sure – LetsPower it!
COMPACT & SLEEK DESIGN
LetsPower comes in a compact and sleek design. It’s crafted in a way that it can be held comfortably and plugged in easily. Now, use an in-car charger with style!
RELIABLE & DURABLE PRODUCT
Robust and high-quality materials ensure that the car charger will last for a really long time. You can completely rely on it as it’s made for high performance in the long run.
Electronic products’ compatibility is always a concern. LetsPower is compatible with all vehicles. You can use it for charging both phones and tyre inflators. It requires an input voltage of 12V DC.
Letstrack is a UK-based MNC, recognized as Asia's Largest Vehicle Security Company and is now World's First Voice-Integrated IoT Brand. We believe that “Anything that moves needs tracking” and that’s our vision. We do it through the power of the Internet of Things (IoT). Our path-breaking and industry-defining devices and services have led Letstrack to win 17 awards in the last 3 years, “100 Greatest Brands in India” being one of them.