Advantages of New Tech in Structural Engineering
by Bob Hasulak, Partner & Director of Operations, QuickFrames
As a team of people who value innovation and are helping to modernize the commercial construction industry, we love staying on top of trends. In particular, it’s exciting to discover new ways that folks in our field are finding solutions to age-old problems and exploring new possibilities. To that end, we’re taking a closer look at the advantages of incorporating new technology in structural engineering.
1. New Perspectives
While drone technology is not exactly new, its prevalence has definitely increased in recent years. When structural engineers use drones to view construction sites aerially, they literally become privy to a new perspective. This is especially helpful if you’re planning to work on a site that is not easily accessible or is geographically distant from your office’s headquarters. Taking photos can help you see the full scope of the project, take measurements and build digital models.
2. Safety Improvements
The inherent risks on job sites have been some of the most challenging aspects of commercial construction for a long time. Thanks to new technology, much of this risk can be monitored or even abated. For example, wearable devices can help assess laborers’ health and safety information in real-time. Also, if someone is in the path of heavy machinery, smart backup systems or RFID tags can detect the danger and alert the worker, preventing disastrous outcomes.
3. Accuracy & Efficiency
Few words mean more to structural engineers than accuracy and efficiency, which is why it’s extremely fortuitous that technology has made both attainable in recent years. Through tech like 3D printing, which has advanced considerably since it first became available, engineers can “create accurate design details and larger-scale commercial projects.”
Furthermore, digital solutions are making it possible for the industry to tap into the wealth of data at its fingertips. By collecting and analyzing all this information, teams can make even greater strides with accuracy and efficiency.
What are some of the other benefits you’ve seen from integrating new technology into your practices? As tech and structural engineering both continue to advance, it’s exciting – and rewarding – to achieve progress and find synergy between them.
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Google Nexus 7 is a Google product which has been manufactured by Asus. Google has already sold thousands of Nexus 7 Tablets and more are expected to be shipped by end of August 2012.
The Google Nexus 7 tablet has 7 inches LED Backlit IPs LCD Capacitive Touch-screen and is the first tablet to run on Android 4.1 Jelly Bean. The tablet is powered by NVIDIA Tegra 3 Quad-Core processor with 1 GB of RAM. All these will efficiently be managed by a Standard Li-Ion battery of 4325mAh. Moreover, you can install various custom ROM’s for it. We have listed below some of the best working custom ROM on Google Nexus 7.
Smooth ROM for Nexus 7: This ROM is based on best custom ROM for Nexus 7 and is based on Android 4.1 Jelly Bean. This ROM is the fastest and smoothest existing ROM which is based on latest 4.1.2 JZO54k. Moreover, this ROM is working very fine with Motley Kernel. Sommth ROM is De-Odexed, Zip-Aligned and has smooth experience. Some of the features of Smooth ROM are: Aroma Installer, All CM10 Features, Busybox, init.d support, Performances Improvements and much more. To know more about this ROM and to download it, visit the link provided below:
Team Shogun ROM for Nexus 7: This ROM is based on CM10 JZO54 AOSP and works better with Motley Kernel, Faux Kernel or Trinity Kernel. This ROM is Fully De-Odexed and Zip-Aligned and includes Features such as: Optional Flash Player Support, Optional AOSP Browser, Landscape support, Advanced Power Menu, Latest BusyBox, Bash & Nano, sysro/sysrw support, OpenVPN support, init.d scripts (BusyBox run-parts) support, tuned & Optimized, full GPU rendering, ext4 tweaks, GPS Tweaks, sqlite3, True Tablet UI, Fast, TeamViewer Support, Call support, Adobe Flash Support and BBC iPlayer. This ROM has many more interesting features to know them and to download this ROM visit the link provided below:
Official AOKP ROM for Nexus 7: This is the custom ROM for Google Nexus 7 and is based on Android 4.1 Jelly Bean. Features of this ROM are: NavBar widgets are back from ICS, Highly customizable Lockscreen Ring targets, Alternate default app picker, Menu UI Overflow Toggle, Option to disable vibration for Notification expansion, RAM Bar in the Recents panel, Timeout and instant lock options for Slide lock, Tons of beautiful new icons by Kwes and VPN Traffic amount in human readable format. Moreover, this ROM includes more reluctant features which will enhance your experience of using Nexus 7. To more about this ROM and to download it, visit the link provided below:
Glazed ROM for Nexus 7: Glazed ROM for Nexus 7 is based on Android 4.1 Jelly Bean. This ROM basically features: Stability, Speed and impressive features. Glazed Jelly Bean is very much stable as compared to other ROM’s in its class. This ROM is based upon Latest Franco Kernel and is Odexed, Supercharged, AdBlocking Enabled and Full Flash Enabled. Some of the impressive features of this ROM are: Beats Audio, Xloud, Sony Bravia Engine, Super Fast, Optimized speed by modding the .so system, Removed useless files not needed, Camera Working, Theme Manager, Beats Icon When Playing Music, Smooth Scrolling Hack, Volume Steps Hack, Sysctl Battery Saving Scripts, Fast Bootup, Custom Boot Animation, The Most Up To Date Apps and Full Gapps Integration. This Rom includes much more essential features, to know them and to download this ROM, visit the link provided below:
Choose the ROM accordingly i.e. whose features suit your interest and side-by-side which fulfills your requirements. Share with us if have any issues, we will try to find a perfect solution for the same.


HOIST Motor / Drive - ABB DC motor 156kW / 209hp with encoder and over-speed protection, powered by a Siemens DC Thyristor Drive. Step-less / variable speed. Smooth, precise control under all load weights.
SLEW Motor / Drive - Three Siemens DC Motors 16.8kW / 22.5hp - powered by a Siemens DC Thyristor Drive.
TROLLEY Motor / Drive - Siemens AC Motor 34.5kW / 46hp - Powered by a Siemens Frequency Inverter


The era of smart cities is happening as we speak.
Do an online search for ‘smart city’ and you’ll find a plethora of articles about it, as well as examples of cities around the world such as Barcelona, New York, Dubai and Singapore that are transforming through the use of smart technologies such as smart data, smart mobility and smart transportation.
Even Kuala Lumpur, Johor and Sarawak are implementing their own smart city projects; the Sarawak government, in particular, intends to develop Kuching as a smart city by 2030.
And before it reaches its 2030 goal, we can already see how smart technology is benefitting Kuching through its many traffic lights installed with the smart system that have helped ease traffic congestions.
So what makes a city ‘smart’?
In the digital economy era, a city can be ‘smart’ when it incorporates a wide range of digital technologies, especially the Internet of Things (IoT) and big data, into its operations and services to boost its efficiency and ultimately, enhance its people’s living experience.
These operations and services can include transportation, utilities, energy, waste management, sanitation, connectivity, governance and citizen’s participation.
In their research publication ‘From Intelligent to Smart Cities’, Mark Deakin and Husam Al Waer suggest that a city can be categorised as smart if it is able to:
- Apply a wide variety of digital and electronic technologies to the city and its communities;
- Apply information and communications technology (ICT) to uplift life and the working environments in the region;
- Embed such ICT within government systems, and;
- Territorialise practices that bring the people and ICT together in order to foster innovation and enhance the knowledge that they offer.
Because most industries and businesses are located in urban areas, many people from the countryside tend to migrate to cities to pursue a better life there.
In fact, the World Bank notes that over four billion people worldwide live in urban areas today, and that number will continue to rise up to six billion by 2045.
Therefore, a well-designed smart city must be capable of tackling its growing urban population in a sustainable manner, providing its people the convenience and comfort they need through the use of technology.
As they strive to become ‘smarter’, cities are searching for professionals in digital technology, including data scientists, cybersecurity analysts, network engineers, platform developers and cloud architects.
And considering that smart city is one of its digital economy sectors, Sarawak would need these talents to achieve its cities’ digital transformation through smart technologies.
So if you are proficient in digital technology and you want to make your city more liveable, consider pursuing a career involving smart cities.
This is a weekly column by SarawakYES! – an initiative driven by Faradale Media-M Sdn Bhd and supported by Angkatan Zaman Mansang (AZAM) Sarawak – to provide advice and stories on the topics of education and careers to support Sarawakians seeking to achieve their dreams. Join us on Facebook, Twitter, Instagram and YouTube.
This article first appeared on The Borneo Post, visit this link: http://bit.ly/2YFHP51
Photo by Kostiantyn Stupak from Pexels.


Artificial Intelligence for Recruiting
The world is constantly evolving and technology is rapidly changing the way we live and work. One of the most revolutionary technologies in recent years is Artificial Intelligence (AI). AI has the potential to transform almost every aspect of our lives, including the way we recruit and hire new employees. In this blog post, we'll explore the impact of AI on recruiting, and how it's changing the face of talent acquisition.
What is Artificial Intelligence?
Artificial Intelligence is a branch of computer science that deals with creating machines that can perform tasks that would normally require human intelligence. This includes things like understanding language, recognizing objects, and making decisions based on data. AI can be divided into two main categories: narrow or weak AI, and general or strong AI. Narrow AI is designed to perform specific tasks, while strong AI is capable of performing any intellectual task that a human can.
The Benefits of AI in Recruiting
The use of AI in recruiting offers several benefits to employers. Some of these benefits include:
AI-powered recruiting software can automate many of the time-consuming tasks involved in recruitment, such as resume screening and initial candidate assessments. This can save recruiters a significant amount of time and allow them to focus on other important aspects of the hiring process.
Improved Candidate Experience
By using AI-powered chatbots and other tools, employers can provide a more personalized and responsive experience for candidates. This can help to attract top talent and improve the overall candidate experience.
Increased Diversity and Inclusion
AI can help reduce bias in the recruiting process by removing identifying information from resumes, and by providing data-driven insights that can help identify and address any biases that do exist.
Potential Drawbacks of AI in Recruiting
While there are many benefits to using AI in recruiting, there are also potential drawbacks that employers should be aware of. Some of these include:
Lack of Human Connection
AI can automate many aspects of the recruiting process, but it can't replace the human connection that is essential to building a strong company culture. Employers must strike a balance between using technology and maintaining a personal connection with candidates.
Potential for Bias
While AI can help reduce bias in the recruiting process, it can also introduce new forms of bias. For example, if the algorithms used in AI are based on biased data sets, they may perpetuate or even amplify existing biases.
Implementing AI-powered recruiting tools can be expensive, especially for small and medium-sized businesses. Employers must weigh the potential benefits against the costs and determine if AI is the right choice for their organization.
The Role of AI in Different Stages of Recruitment
AI can be used at different stages of the recruitment process, including:
Sourcing and Candidate Attraction
AI can be used to scan social media profiles and job boards to identify potential candidates who meet the criteria for a job posting.
Resume Screening and Candidate Assessment
AI-powered recruiting software can automatically screen resumes and assess candidates based on pre-determined criteria.
AI-powered chatbots can conduct initial candidate interviews, asking pre-determined questions and providing a more consistent and objective experience for candidates.
AI can be used to create personalized onboarding experiences for new employees, helping them to get up to speed quickly and feel more connected to the company.
Ethical Considerations for AI in Recruiting
As with any new technology, there are ethical considerations that employers must take into account when using AI in recruiting. Some of these considerations include:
Employers must ensure that any data collected through AI-powered recruiting tools is used ethically and with the appropriate level of privacy protection for candidates. This includes obtaining consent for the use of personal data, ensuring data is stored securely, and providing transparency around how data is used.
As mentioned earlier, AI-powered recruiting tools can perpetuate or amplify existing biases if the algorithms are based on biased data sets. Employers must ensure that they are using unbiased data sets and regularly monitoring their AI-powered tools for any signs of bias.
Employers must ensure that they have adequate human oversight in place to monitor the use of AI in recruiting. This includes reviewing the data generated by AI tools and ensuring that decisions made by AI are reviewed by humans before any final decisions are made.
The Future of AI in Recruiting
The use of AI in recruiting is still in its early stages, but it's clear that this technology will continue to play a significant role in the future of talent acquisition. As AI technology continues to evolve, we can expect to see more sophisticated tools and algorithms that can further automate the recruitment process while minimizing bias and improving the candidate experience.
The use of AI in recruiting is a game-changer for employers and job seekers alike. By automating time-consuming tasks and providing a more personalized experience for candidates, AI can help employers attract top talent and improve the overall hiring process. However, it's important for employers to understand the potential drawbacks and ethical considerations of using AI in recruiting, and to use this technology in a way that is both effective and ethical. As AI continues to evolve, we can expect to see even more innovative and exciting applications in the world of talent acquisition.
How Hume Can Help
Hume is an interview intelligence platform that can revolutionize the way you conduct interviews and make hiring decisions. With Hume, you can:
Record and Transcribe Interviews
Hume allows you to record and transcribe interviews, eliminating the need for manual note-taking. This can save your hiring team valuable time and ensure that you have an accurate record of each interview.
Hume can also automatically summarize each interview, highlighting key insights and providing a quick overview of each candidate's qualifications. This can help your team make faster, more informed hiring decisions.
Analyze Interview Data
Hume uses AI algorithms to analyze interview data and provide insights into the performance of both candidates and interviewers. This can help you identify areas for improvement in your interviewing process and train interviewers to perform better.
Reduce Bias in the Hiring Process
Hume can also help reduce bias in the hiring process by providing more objective data and insights. By removing identifying information from interview transcripts, Hume can help prevent unconscious bias and ensure that candidates are evaluated on their qualifications alone.
Improve the Candidate Experience
Finally, Hume can help improve the candidate experience by providing a more efficient and personalized interviewing process. With Hume, candidates can receive timely feedback and be kept informed of their progress in the hiring process, helping to improve their overall experience.
In summary, Hume is a powerful tool for any hiring team looking to streamline their interviewing process and make more informed, objective hiring decisions. With its advanced AI algorithms and powerful features, Hume can help your team unlock the full potential of your interviews and find the best candidates for your organization.
No more hurriedly scribbled notes. Aspect delivers clear, detailed and custom AI summaries of every interview, capturing the nuances that matter.
Learn how to improve your interviewing technique with personalized feedback based on your interactions.
End-to-end integration: Aspect seamlessly integrates with your existing ATS systems, providing a unified hiring solution.
People Success Specialist
Absolutely game-changing for busy recruiters!
The summary, the Q&A feature and the ATS integration have boosted my productivity and lowered the context-switching stress, the analytics provided allowed for me and my team to have full visibility over our stats, and Aspect's team couldn't be more helpful, friendly and accessible!
Aspect adds rocket fuel to the hiring process.
Aspect helps me hire faster & more efficiently. I can create short highlight reels to share quickly with my team & clients for faster decision making. Faster, more informed decisions using Aspect has led to faster, better hires!


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Record X™ Dual Lens Car DVR Dash Cam Full HD Front Rear Recorder uses far infrared rays to display rear obstacles and create a clear view in dark conditions.
When it detects a collision, the device will lock the footage and will not record over it.
When the memory card gets full, it will automatically record over the previous video.
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Simply mount the Record X™ Dual Lens Car DVR Dash Cam Full HD Front Rear Recorder to the windshield and the camera will automatically record when driving. The rear camera is waterproof and can be installed directly behind the car.
- Camera: Quality ABS Texture
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No-nonsense, high-quality snapshot prints
Online messaging harmony
The root access opens the door for VR developers and hobbyists to create new software for the Oculus Go.
If the listings are real, the Core i9-12900K will retail for $669.99 while the Core i7-12700K will go for $469.99.
If you're a Windows Insider, you have early access to Android apps in the Microsoft Store. Here's how to install the Amazon Appstore...
We've confirmed that the Pixel 6 Pro uses a Samsung modem, but Google doesn't seem to care much about networking this year.
The PC parts complement Razer’s effort to sell premium PC desktop cases.
Microsoft is still testing a patch to address latency problems for Ryzen chips running Windows 11.
The 10-year-old emulator can't play every game yet, but they all at least load.
You'll need to use the newly unveiled MagSafe 3 connector for fast charging or a USB-C cable.


Artificial intelligence has been around for decades, though more recently tech companies have been ramping up their efforts to bolster AI and expand the category into new fields. There is no doubt that many of tomorrow’s products and services will leverage AI to some extent. In an effort to promote this way of thinking, Google this week announced updated kits for its AIY Projects initiative that now include Raspberry Pi WH hardware.
Google launched AIY Projects last year to help makers jump on the AI bandwagon, with two do-it-yourself kits that continue to see demand, especially from the STEM audience where both parents and teachers are seeing the benefit of using them as tools in the classroom. The ongoing demand is what motivated Google to launch new versions of the kits.
There are two kits to choose from—a Voice Kit that lets users build a voice controller speaker, and a Vision Kit to build a camera that learns to recognize people and objects. Both have been updated to include clearer instructions to make it easier to get started, a new app, and all the parts in the one box, including Raspberry Pi hardware.
“To make setup easier, both kits have been redesigned to work with the new Raspberry Pi Zero WH, which comes included in the box, along with the USB connector cable and pre-provisioned SD card. Now users no longer need to download the software image and can get running faster. The updated AIY Vision Kit v1.1 also includes the Raspberry Pi Camera v2,” Google said.
Google also refreshed its AIY website with improved documentation, with a focus on helping younger makers jump in feet first. And on the software side of things, it introduced a companion app for Android to simplify wireless setup and configuration. Alternatively, the kits still work with a monitor, keyboard, and mouse. In addition, Google is working on companion apps for iOS and Chrome.
You can find the Voice Kit for $50 and the Vision Kit for $90, both at Target.


NOTE: all examples are configured to use "/usr/share/" as the base installation directory (and "/var/run/vnuml" to put some files associated to running scenarios). This is the default when you install vnuml as a debian/ubuntu package. If you have installed vnuml manually, you should edit the second and fourth line of the xml specification file and change the directories to "/usr/local/share" and "/var/local/run/vnuml" (or whatever you have defined during installation).
Besides, if you install the examples in a different directory than the standard one (under /usr/share/vnuml/examples/*) you should adjust the variable "BASEDIR" in the fifth line.
|Simple||1.8||The most simple VNUML example: just a virtual machine without network interfaces. Useful to test and tune kernels and root filesystems before using them in more complex scenarios.|
|Basic (formerly named Tutorial)||1.8||A simple VNUML example that emulates five nodes interconnected through four emulated networks and maintaining connection with external networks through the host machine.|
|Update Root Filesystem||1.8||This is a simple example useful to install or update applications inside a UML root filesystem. It creates a virtual machine with external network access by means of a subinterface of the host machine network interface. Once started you can use typical applications like dselect in Debian to update the filesystem.|
|VLANs||1.8||A example of VNUML VLANs support, showing a scenario with three concurrent simulations with one virtual machine connected to a diferent VLAN throught the same host physical interface.|
|DNS||1.8||This example implements a complete DNS hierarchy made of six name servers under a fictitious .e6 top level domain. It is an interesting example to learn and experiment with with DNS and the configuration of the widest used DNS server implementation: bind.|
|OSPF Network Laboratory||1.8||A complex network enviroment using the OSPF dynamic routing protocol to configure a backbone and several sites.|
|Two Hosts||1.8||This example shows how to run two simulations in two separate hosts, with interaction between them. Thanks to Jasmy Azry B. Johari, from Telekom Malaysia.|
|BGP Networking Laboratory||1.8||This scenario provides an example of how VNUML can be used for testing routing daemons, and specifically bgpd, which is the BGP implementation included with Quagga Routing Suite.|
|Dynamips/Dynagen||1.8||This scenario provides an example about how to create mixed scenarios made of VNUML virtual machines and CISCO routers emulated using Dynamips/Dynagen tools.|
|3GPP System Architecture Evolution (SAE)||1.8||A testing platform that, by combining the virtualization features provided by VNUML with the capabilities offered by several of the available Open Source IMS and mobility toolkits, allows the easy creation and deployment of complex multi-domain 3GPP SAE emulation scenarios. Some results of this work have been presented in our TridentCom 2008 paper.|
|NSF Network (14 nodes)||1.8||A scenario composed of 14 nodes and 21 point-to-point networks resembling the real-world NSF network topology.|
|RedIRIS Network||1.8||A scenario composed of 19 nodes and 31 point-to-point networks resembling the real-world RedIRIS topology.|


Development of an on-vehicle type salinity measurement sensor for controlling winter roadway surfaces
In Japan, anti-icing chemicals are used to secure the safety and smoothness of vehicular traffic in the winter season. Especially since the use of spike tires on roads was prohibited, the consumption of such chemicals has been increasing year after year. On the other hand, the desire to reduce the amount of such chemicals to be salted has been mounting in recent years for cost reduction as well as for our concern for the road environment. In turn, the Japan Highway Public Corporation (JH) developed a salinity measurement sensor which can be mounted in a patrol car or a pre-wetted salt spreader to measure salinity in real time and control the amount of chemicals to be salted, and confirmed the measurement accuracy through verification testing in the field. The JH also conducted verification testing on a new method of salinity measurement to optimize the salting amount of chemicals even when the roadway surface is not adequately wet and confirmed that measurement by this method could be achieved.
INTERNATIONAL JOURNAL OF ITS RESEARCH
Maintenance and Preservation; Safety and Human Factors; I62: Winter Maintenance
Transport Research Laboratory
Crowthorne House, Nine Mile Ride
Aug 25 2008 8:41AM
More Articles from this Serial Issue:


Apple iPhone 8 64GB
Apple iPhone 8 64GB
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A11 Bionic chip with embedded M11 motion coprocessor
Talk time (wireless) up to 21 hours
LTE and 802.11ac Wi‑Fi with MIMO
Bluetooth 5.0 wireless technology
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12MP wide-angle and telephoto cameras
Optical zoom; digital zoom up to 10x
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Apple Certified Refurbished Products
Quality products at great prices
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Covered by Apple’s one-year limited warranty This will open a new window.
Covered by Apple’s 14-day returns policy This will open a new window.
AppleCareThis will open a new window. product can be purchased
Engraving and gift wrap not available for refurbished products
Supplies are limited
What’s in the Box
Refurbished iPhone 8 Plus
EarPods with Lightning Connector
Lightning to USB Cable
USB Power Adapter
Apple ID (required for some features)
Syncing with iTunes on a Mac or PC requires:
Mac: OS X v10.10.5 or later
PC: Windows 7 or later
iTunes 12.7 or later (free download from www.itunes.com/download)
Operating ambient temperature: 32° to 95° F (0° to 35° C), Non-operating temperature: -4° to 113° F (-20° to 45° C), Relative humidity: 5% to 95% noncondensing, and Operating altitude: Tested up to 10,000 feet (3000 m).
iPhone 8 Plus is designed with the following features to reduce environmental impact:
Arsenic-free display glass
Mercury-free LED-backlit display
Brominated flame retardant–free
Highly recyclable aluminum


Manhattan SuperSpeed USB 3.0 Hub USB - External - 4 USB Port(s) 162296
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The Manhattan SuperSpeed USB 3.0 Hub easily expands USB access for desktop and mobile use to connect more peripherals and mobile devices. Create more connections for SuperSpeed USB 3.0 devices, such as storage devices and Web cameras. It's backward compatible to previous USB standards, providing versatility for attached devices. Plug and play with hot-swap capabilities, Windows and Mac compatibility and data transfer speeds up to 5 Gbps help the Manhattan SuperSpeed USB 3.0 Hub consolidate numerous, less-capable hubs into a single USB solution.


The advancements to electric vehicles (EVs) continues to rapidly grow and with many legislatures setting new emission goals, talk of EVs only looks to increase. With these new technologies involving electricity, Rock Energy Cooperative is here to help. Whether you are committed to purchasing an EV and doing preliminary research on how this will affect your electric bill, or if you are simply just curious, we will provide tools to help keep you informed. After reviewing the information on our web site, Rock Energy's Energy Services Department (866-752-4550) can walk you through everything you need to know, including how to avoid potentially large equipment replacement fees and outages, and any special rates that may be available to help reduce your electric bill.
EVs derive all or part of their power from electricity supplied by the electric grid.
AEVs (all-electric vehicles) are powered by one or more electric motors. They receive electricity by plugging into the grid and store it in batteries. They consume no petroleum-based fuel and produce no tailpipe emissions. AEVs include Battery Electric Vehicles (BEVs) and Fuel Cell Electric Vehicles (FCEVs).
EVs use batteries to power an electric motor, plug into the electric grid to charge, and use a petroleum-based or alternative fuel to power the internal combustion engine. Some types of EVs are also called extended-range electric vehicles (EREVs).
To get the most out of your electric vehicle (EV), you must charge it on a regular basis. Charging frequently maximizes the range of all-electric vehicles and the electric-only miles of plug-in hybrid electric vehicles. Drivers can charge at home, at work, or in public places. While most drivers do more than 80% of their charging at home and it is often the least expensive option, workplace and public charging can complement residential charging.
Types of Chargers
Charging your EV requires plugging into a charger connected to the electric grid, also called electric vehicle supply equipment (EVSE). There are three major categories of chargers, based on the maximum amount of power the charger provides to the battery from the grid:
Level 1: Provides charging through a 120 V AC plug and does not require installation of additional charging equipment. Can deliver 2 to 5 miles of range per hour of charging. Most often used in homes, but sometimes used at workplaces.
Level 2: Provides charging through a 240 V (for residential) or 208 V (for commercial) plug and requires installation of additional charging equipment. Can deliver 10 to 20 miles of range per hour of charging. Used in homes, workplaces, and for public charging.
DC Fast Charge: DC fast charge can deliver 60 to 80 miles of range in 20 minutes of charging. Used most often in public charging stations, especially along heavy traffic corridors.
Charging times typically range from less than 30 minutes to 20 hours or more based on the type of EVSE, as well as the type of battery, how depleted it is, and its capacity. All-electric vehicles typically have more battery capacity than plug-in hybrid electric vehicles, so charging a fully depleted all-electric vehicle takes longer.
*Source: U.S. Department of Energy
Most modern chargers and vehicles have a standard connector and receptacle, called the SAE J1772. Any vehicle with this plug receptacle can use any Level 1 or Level 2 EVSE. All major vehicle and charging system manufacturers support this standard, so your vehicle should be compatible with nearly all non-fast charging workplace and public chargers.
Fast charging currently does not have a consistent standard connector. SAE International, an engineering standards-setting organization, has passed a standard for fast charging that adds high-voltage DC power contact pins to the SAE J1772 connector currently used for Level 1 and Level 2. This connector enables use of the same receptacle for all levels of charging, and is available on certain models like the Chevrolet Spark EV. However, other EVs (the Nissan Leaf and Mitsubishi i-MiEV in particular) use a different type of fast-charge connector called CHAdeMO. Fortunately, an increasing number of fast chargers have outlets for both SAE and CHAdeMO fast charging. Lastly, Tesla’s Supercharger system can only be used by Tesla vehicles and is not compatible with vehicles from any other manufacturer. Tesla vehicles can use CHAdeMO connectors through a vehicle adapter.
*Source: U.S. Department of Energy
Electric Vehicles - What You Need To Know


My goal was to attach temperature sensors and have the Pi report back the temperature to me.
So, I went out and bought the Vktech DS18b20 sensors and attached them to a GPIO port. Once, the sensors have been connected, you need to login and run the following 2 commands to have Linux setup and probe them:
sudo modprobe w1-gpio sudo modprobe w1-therm
Now, once those commands are ran, the temperatures will show up in following files:
where <serial id> is the serial id of the sensor itself. An example of one of these files is:
4d 01 4b 46 7f ff 03 10 d8 : crc=d8 YES 4d 01 4b 46 7f ff 03 10 d8 t=20812
Now, in that file, the Celsius temperature is actually the last little bit, 20812 - it just needs to be divided by 1000 and you have your Celsius temperature of 20.8.
Great, it's now working. Linux is probing the sensor and reporting it to a file which I can read and see. It works, but not that practical. At this point I wanted to see if I could automate this process so I didn't have to manually read the file each time I want to know the temperature.
Meet pi-temperature, a Java library I wrote to solve this exact problem. It probes all attached sensors for me at a given interval (defaults to 1 min) and can report the temperatures of each sensor back to the user. It utilizes spring boot to startup a local Tomcat instance for a web server and has several REST urls attached:
/sensors/list /alerts/list /alerts/setOn/<name> /alerts/setOff/<name> /alerts/update/<name>
The /sensors/list is the primary endpoint which reads all of the sensors and reports back the temperatures in both Celsius and Fahrenheit. The /alerts endpoints are currently a work in progress and another post will be coming soon with their features.
Specific instructions on how to build, run, and more thorough instructions can be found on the pi-temperature project's README.


Artificial Intelligence (AI) is rapidly transforming the healthcare industry and providing new and innovative solutions to improve patient care. The CEO of three healthcare companies, AI Med Global, CureMetrics, and CureMatch, Navid Alipour, is working with a team of professionals to bring these solutions to the market. Navid believes in finding the right people for his team and empowering them to do their best work, and his ultimate goal is to improve patient care through the use of AI technology.
In a recent podcast, Navid and Mike discussed the benefits of using chat GPT (a large language model) in comparison to manual note-taking. They agreed that automation of repetitive tasks can save time and reduce the burden on healthcare professionals, allowing them to focus on more important tasks. Navid explained that AI technology can analyze vast amounts of data and make predictions or forecasts, but machine learning has limitations in the field of cancer treatment. This is where K R AI (knowledge representation and reasoning AI) comes in, taking into account the molecular makeup of a specific cancer and recommending the best treatment options.
Navid and Mike also discussed the role of AI in clinical trials, where it can help pharmaceutical companies bring drugs to market faster and save money. The ultimate goal of using AI in healthcare is to empower professionals and improve patient care, not replace them. Navid co-founded two private companies, CureMetrics and CureMatch, which use AI and machine learning technology to improve cancer detection and treatment. The American Medical Association recently recognized the platform and gave it a CPT code, making it the first of its kind in providing augmentative intelligence to oncologists.
Navid believes that AI will not replace doctors but will enhance their abilities to make more informed therapy decisions. The goal is to make cancer a manageable condition rather than a death sentence and to improve overall health through early detection. Navid's background is in finance and law, and his passion for healthcare was the driving force behind the creation of these companies. He believes that AI technology has the power to transform the healthcare industry and improve patient care.
In conclusion, the use of AI in healthcare has the potential to revolutionize the industry and provide innovative solutions to improve patient care. The automation of repetitive tasks, improved decision-making, and early detection are just some of the benefits that AI technology can bring to healthcare. The ultimate goal is to empower healthcare professionals and improve patient care, and Navid and his team are at the forefront of this revolution.
The Business of Pharmacy Podcast™ is an interesting and entertaining weekly podcast discussion on the business of pharmacy. Hosted by Mike Koelzer, an independent pharmacist in Grand Rapids, Michigan, each episode covers a new topic relevant to pharmacists and pharmacy owners. Listen to a new episode every Monday morning.


Apple Inc. plans to upgrade their watch features with satellite connectivity which will allow emergency texting and SOS response very soon.
Satellite connectivity would enable the iPhone to send short messages to emergency contacts over satellite networks without going through a carrier.
This feature ultimately was not materialize in the iPhone 13 lineup, but feature could launch as early as this year with the iPhone 14.
Following its launch, Apple Inc. plans to bring the technology over the Apple Watch.
This plan of Apple comes in two folds to let users leverage satellite connectivity.
Firstly, called “Emergency Message Via Contacts”, this would let users send short text messages to emergency services and contacts over a satellite network when there is no available cellular signal. Theirs feature will appear with gray bubbles inside of the Messages App.
The second component would allow users report a crisis, such as a car, boat, plane crash and others to relevant and accessible authorities.
But this feature might not be available in every country.


ElectroPhotonic-IC Inc (ELPHiC) is a small, seed-stage startup headquartered in Ottawa Canada. We are developing high-performance, monolithically-integrated transmitters and receivers for 100 and 400 Gb/s Data-Center interconnect applications.
At the core of our technology is the integration of both electronic and optical components onto a single InP die, to produce compact, high-performance and high-yield E/O interfaces.
As we are completing our proof of concept seed stage and move into full scale product development we are about to raise our first large round of financing and are recruiting key individuals who will become the foundation of our
engineering and design team.
We are looking for self-motivated, positive minded and enthusiastic people who love the energy and potential promise of working in an early stage venture funded startup.
Facilitate and direct a small team to develop high-performance optical devices (PIN/UTC-PIN/EAM/MZ/Lasers) and fabrication processes
Interface with Electronics design team to ensure integrability with electronic epi and process
Develop methods and apparatus for optical characterization of integrated optical devices
Mentor/train new grad MSc and PhD team members


The core network has always been one of the front lines in the evolution of cellular wireless technologies. Every generation has brought us a dizzying array of new acronyms in this space. In 2G there were Mobile Switching Centers (MSC), Home Location Registers (HLR) and Visitor Location Registers (VLR). 3G introduced the IP Multimedia System (IMS) and 4G brought the Mobility Management Entity (MME) and Packet Data Gateways (PGW). This parade of apparently physically independent functionality hides a trend of increasing softwarization that has been accelerating since 2G.
In 5G, this softwarization trend will very likely reach a nexus blurring any remaining lines between hardware and software. Some folks are saying that the core network will disappear into the cloud in 5G. From a certain perspective, I don’t disagree with them. However, from a broader perspective, it still remains a rich and essential area of innovation that will define a continuing key element of the future of wireless.


The Covonix Lumivir™ multimodal solution combines low light level luminometry on saliva samples in combination with method 1, method 2, method 3 and method 4. The first generation test is designed to aid in the diagnosis and management of an infection. The second generation test will leverage COVID-19 specific capture and detection antibodies to enable diret antigen detection at the point of care. Data is collected locally by the instrument and transferred by Bluetooth LE to a mobile app where the data is encrypted and uploaded to a cloud based server for report generation and combination with EHR and contact tracing. The reports can then be sent to telehealth physicians for interpretation and then provided to nurses and other field clinicians to assist in the identification and management of COVID-19, for instance making ‘Return-to-Work’ and ‘Return-to-School’ decisions.
When a swab or saliva sample of a patient is exposed to chemical reagents, light is produced indicating an abnormally elevated level of a key protein, indicative of an infection. In a second geneartion, COVID-19 specific antibodies are used to capture minute quantities of virus while detection antibodies are conjugated with reporter enzymes so that light can be used as a readout for the presence of the virus. Because luminometers leverage low light level pn and PIN photodiodes, the delicate photo-currents can be converted into measureable signals which can be integrated, quantified, transferred and analyzed by the local app and cloud based report analytics.
For more information please see this Scholarpedia article.


Modern communication mechanisms, such as Remote Direct Memory Access (RDMA), have significantly lowered the CPU cost of large data transfers. However, these performance advantages can only be leveraged through interleaving the computation with the network communication and through careful management of the RDMA buffers used for sending and receiving data. In this project, we investigate how database operators, like join or aggregation algorithms, need to be designed in order to take full advantage of all the features provided by modern low-latency high-throughput networks such as InfiniBand. Our results show that hardware-concious distributed algorithms exhibit good performance and scalability.
Rack-scale computers are becoming the building blocks of modern data centers. They are characterized by new hardware technologies that promise terabytes of main memory and thousands of CPU cores connected with high-speed interconnects. These systems face a variety of challenges, one of which is the orchestration of the processing and communication resources in order to achieve maximum performance. In this project, we explore how to design a database for a rack-scale system. We investigate several approaches for distributing a state-of-the-art relational database on a modern InfiniBand cluster and evaluate these techniques in terms of performance, scalability and complexity.
|Fall 2016||G. Alonso||Advanced Systems Lab||Course Webpage|
|Fall 2016||R. Marti||Information Systems for Engineers||Course Webpage|
|Spring 2016||G. Alonso||Data Modelling and Databases||Course Webpage|
|Fall 2015||L. Fässler||Foundations of Computer Science||Course Webpage|
|Spring 2015||F. Friedrich||Computer Science II for Civil Engineers||Course Webpage|
|Fall 2014||G. Alonso||Advanced Systems Lab||Course Webpage|
|Spring 2014||D. Kossmann||Data Modelling and Databases||Course Webpage|
|Spring 2015||A. Dovis||Data Processing System Decoupling over RDMA/InfiniBand||J. Giceva
|Spring 2015||S. Dollberg||Persistence and Durability for Project FBX||J. Giceva
|ETH Zurich – Systems Group||October 2013 – present|
|Research & Teaching Assistant|
The ETH Systems Group is a research and teaching collaboration among several professors in the general area of systems. My research interest lies in the area of distributed query processing. In addition to research, my duties include teaching activities at both the under-graduate and graduate levels.
|Oracle Labs||April 2014 – September 2014|
|Redwood Shores, California, United States of America|
Internship as a research assistant at Oracle Labs, working on Project RAPID, a hardware-software co-design project targeting large-scale data management and analysis. Oracle Labs is the sole organization at Oracle which is devoted exclusively to research. Its mission is to identify and explore new technologies.
|IBM Research||October 2012 – January 2013|
Internship as a research assistant in the BlueZ Business Computing Group at the IBM Zurich Research Laboratory in Switzerland. IBM Research – Zurich is the European branch of IBM's worldwide research division and conducts fundamental and applied research that contributes to IBM products, services, and solutions.
|Root S.A.||June 2010 – September 2010|
Internship as a software engineer, working on company-internal software for datacenter operations, server management and internet-backbone monitoring. Root S.A. is one of the leading internet backbone and colocation providers in Luxembourg, specialized in dedicated servers, colocation services and web hosting.
|Doctor of Sciences (Dr. sc. ETH Zurich) – aspired degree||October 2013 – present|
|ETH Zurich, Zurich, Switzerland|
PhD studies in computer science focusing on distributed query processing. At present, I am exploring how distributed database operators, like join or aggregation algorithms, need to be designed in order to take advantage of modern communication mechanisms such as Remote Direct Memory Access (RDMA).
|Master of Science ETH in Computer Science (M.Sc. ETH CS)||September 2007 – August 2013|
|ETH Zurich, Zurich, Switzerland|
Bachelor and master studies in computer science with specialization in distributed systems. In August 2013, I completed my master thesis titled Join Algorithms on Hierarchical Network Topologies under the supervision of Prof. Dr. Donald Kossmann and Dr. Simon Loesing.
ETH Zurich – Systems Group
Department of Computer Science
CAB E 69
8092 Zurich, Switzerland


What is IBM Skills Academy?
A skills-oriented training program to empower students of various backgrounds with the skills needed to excel in today’s high-demand technologies
How Does it Work?
We provide a cloud-enabled learning environment and train-the-trainer learning model leveraging IBM and open source technology
Upon successful course completion, faculty and students can receive certificates on relevant skills
A comprehensive program for today’s technology savvy workforce
Powered by IBM Cloud
- Hands-on Labs
- Use Cases
Covering latest technologies and industry practices, our tracks address high-demand skills in the market today
Industry Use Cases
Go beyond use cases to real industry applications from non-profit, to start-ups and global enterprises
Industry recognized digital certificates jointly issued my market leaders, IBM and Credly
Covering latest technologies and industry practices
Our tracks address high-demand skills in the market today
Participate on enterprise adoption of AI technologies leveraging an understanding on industry AI patterns using natural language processing, machine learning, neural networks, virtual agents, and computer vision.
Elevate an organizations' overall security posture, by adopting practices, methods and tools that increase enterprise cyber resilience. Practitioners provide awareness on the latest cyber threats, and can help set the foundations for the implementation of an incident response team and a security operations center.
Use advanced data science methods and tools, leveraging statistical sciences, machine learning technologies and industry-specific datasets, to implement unique data models that can solve challenging problems across all industries.
Help organizations lead the way into their digital reinvention journeys, by identifying critical areas for the adoption of enterprise-grade blockchain solutions that can benefit from the implementation of smart contracts using industry leading open source blockchain technologies.
Extract real-world data from sensors in devices, integrate them to services in the cloud, and using analytics and artificial intelligence, extract valuable insights to improve enterprise operations and enable innovative, new industry business models.
Create disruptive cloud-based solutions that can provide unique customer experiences through the use of user-centric design practices, agile methodologies and the integration of cloud-based security, data and AI capabilities.
Acquire the knowledge of applying design thinking and its value. A practitioner finds opportunities to use design thinking methods in their everyday work.
Become empowered with the knowledge and tools needed to collaboratively and individually advance the field of quantum computing and drive adoption.


Jul 02, 2021· The M215HNE-L30 Rev.C1 is a 21.5 inch diagonal a-Si TFT-LCD display panel product from Innolux Corporation (hereafter called Innolux), with an integral WLED backlight system, without backlight driver, without touch screen.It features an operating temperature range of 0 ~ 50°C, a storage temperature range of -20 ~ 60°C, and the maximal vibration level of 1.5G (14.7 m/s²).
Differ to be better. Super fast delivery. We ship Monday - Friday from our central warehouse in the Netherlands. Orders before 12:00am, stock items, will be packed and sent same day.
Innolux 21.5" LCD Panel for Monitor,Increase brightness,Add touch,Total solution kits,Customized display,Connector,M215HNE-L30,Innolux,Wide View Angle,Matte,In Production,MonitorHighbrightness LCD Panel,Touch LCD Panel,Raspberry Pi, LCD Module, Graphic LCD Module, TFT LCD, OLED Display, LCD Display, LCD Panels and so on Customized display etc.
M23015Y-DV 12/24 Dual Voltage 14 x 5mm Diodes 4.00" 2.00" 1.0" 12.8 VDC 110 Milliamps P2PC Surface Bullet & Ring
EIO0000001384.06 Modicon M221 Logic Controller EIO0000001384 12/2017 Modicon M221 Logic Controller Hardware Guide 12/2017
Standard Adjustable Indent Crimp Tools Lower Range Crimp Tool Qualified to MIL-DTL-22520/2* and AS22520/2*, the DMC AFM8 is designed for most of the miniature and sub-miniature connector types that are so widely used in electronic systems.The AFM8 meets the need for a miniature tool accommodating wire sizes 20 through 32 AWG.. The AFM8 gives a Mil-Standard 8 impression crimp, …
Aug 09, 2021· Cut Tape. Product is cut from a full reel tape into customized quantities. MouseReel™ (Add $7.00 reeling fee) A product reel is cut according to customer-specified quantities. All MouseReel orders are non-cancellable and non-returnable. Full Reels. The ordered quantity must match the manufacturer's full reel quantity.
An ISO 9001:2008 & AS9100:2004 ed Company Tooling Guide for Aerospace Wiring Systems Tooling Guide for Aerospace Wiring Systems
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AU Optronics Corp. (hereafter called AUO) M215HTN01.3 is a 21.5 inch diagonal a-Si TFT-LCD display screen product, with an incorporated WLED lighting system, without backlight driver, without touch screen. Based on datasheet with version of Ver1.0 which was released out on 11 5 2012, M215HTN01.3 supports display 1920(RGB)×1080 (FHD) with aspect ratio of 16:9 (W:H), whose pixels are arranged ...


All accepted papers has been published in the Proceedings of MAIC 2022 by Journal of Physics: Conference Series(ISSN: 1742-6596), which were indexed by EI Compendex and Scopus.
The 2022 2nd International Conference on Mechatronics, Automation and Intelligent Control（MAIC 2022)was organized by GSRA, it was successfully held in the form of online conference on September 17, 2022.
Prof. Yajun Liu, South China University of Technology, China
Title: A Novel Signal Processing Method of Coriolis Mass Flowmeter Based on SVR and Hilbert Transform
Prof. Li Guo, Hunan University, China
Title: Acoustic emission intelligent monitoring in grinding engineering ceramics
Prof. Heming Jia, Sanming University, China
Title: Swarm intelligence optimization: advances in algorithms and applications


Due to the ability to analyze enormous amounts of data and discover complicated patterns and trends, machine learning algorithms are the newfound methods of achieving accuracy in football predictions today. These algorithms are classified into different types such as supervised learning, unsupervised learning, reinforcement learning, and deep learning. Each type has distinct features and applications in football prediction, and they can be applied to predict player performance, tactical analysis, and injury prediction.
The consequences of using machine learning algorithms in football prediction goes beyond just analysis and coaching decisions, it affects the whole football betting market. For example, football fans and bettors can now use machine learning football tips on this site to make better decisions and improve their betting strategy. However, we recommend understanding the uncertainties and downsides involved with betting and to always proceed with caution while at it.
Types of Machine Learning Algorithms
There are many algorithms that are being adopted for machine learning online. The classification usually depends on how the machine sources data and does its analysis. Some of the most common types include:
- Supervised Learning: These algorithms learn from labeled data, since input features correlate to output labels. In football prediction, supervised learning algorithms use historical data such as player statistics, team performance indicators, and match results to detect patterns and relationships. These patterns can subsequently be used by the algorithms to forecast future match results, player performances, and team strategies. For example, it may evaluate previous matches to estimate a team’s chances of winning based on factors like possession, shots on goal, and past success versus similar opponents.
- Unsupervised Learning: Here, they use unlabeled data to identify underlying patterns or structures. It’s an easy way to group comparable teams or players together based on traits or playing styles. For example, an unsupervised learning system may identify groups of teams that use similar defensive or attacking techniques, offering information about future matchups and outcomes.
- Reinforcement Learning: The technique involves an agent learning to make decisions by interacting with its environment and receiving feedback, such as rewards or penalties. In football prediction, it is often used to create methods (especially for coaches) for improving team performance or player decisions. For example, a reinforcement learning agent may learn to adjust its tactics based on input from past matches, which helps it to improve its predictions for football.
- Deep Learning: These algorithms are modeled after the neural networks seen in the human brain. A typical process here will involve assessing player motions on the field, identifying significant match events, and even providing play-by-play commentary using real-time data. They are ideal for processing complicated, high-dimensional data including photos, audio, and text. They can be used in football prediction to extract valuable insights from massive volumes of data, such as match video footage or text commentary.
How Machine Learning is Applied in Football Prediction
Different sites and platforms use machine learning and AI for different purposes. But it all borders on the improvement of our prediction accuracies be it for leisure, betting or to improve the overall performance of the teams and players. We’ve explored some of the various ways this technology is being applied and you’ll find some of them quite interesting.
Machine learning algorithms can forecast player performance using historical data, attributes, and contextual factors such as weather, opponent strength, and match importance. Machine learning approaches can identify patterns and trends in player statistics by training models on large datasets. These models can then be used to correctly predict future player performance, allowing coaches to make more informed judgments about player selection, substitutions, and tactical adjustments.
An instance is how they use a player’s previous performance indicators like goals scored, assists, passes completed, and defensive actions to estimate their chances of success in an upcoming encounter. By taking into account characteristics such as recent form, playing position, and previous performance against similar opponents, these algorithms can provide significant insights into which players are likely to have the largest impact on the game.
Team Performance Predictions
Similarly, machine learning algorithms can make accurate football predictions and match team outcomes using team statistics, dynamics, and prior performance. These algorithms can effectively assess opponent teams’ strengths and weaknesses and anticipate match outcomes by examining variables such as squad composition, playing style, possession percentages, shots on goal, and defensive records. This information can help coaches and analysts create game plans, modify tactics, and make strategic decisions to improve their team’s chances of winning.
They can now examine previous encounters between two teams, using criteria such as home advantage, recent form, and head-to-head records to predict whether each side will win, lose, or draw. By taking into account a wide range of variables and incorporating historical data, these algorithms can provide significant insights into match dynamics.
Machine learning algorithms have demonstrated potential for predicting player injuries and their impact on team performance. These algorithms can anticipate future player injuries by analyzing data on player fitness, injury history, workload, and recovery time. This information can help coaches manage player workloads, implement injury prevention strategies, and decide on player availability and substitution.
With the right algorithm, information like a player’s training load, physical condition, and injury history can be used to predict their likelihood of injury in an upcoming match. The algorithm would consider characteristics such as fatigue, muscular imbalances, and historical injury patterns; so these algorithms can provide early indications of potential injury risks and assist coaches in taking proactive efforts to reduce them.
Another application of machine learning in football prediction is tactical analysis, which involves using algorithms to assess tactical methods and game plans in order to improve team performance. By studying match footage, player movements, passing patterns, and defensive formations, machine learning algorithms can discover patterns, trends, and weaknesses in opponents’ tactics and devise plans to exploit them. This information can assist coaches in developing game plans, adjusting formations, and making tactical substitutions to obtain a competitive advantage on the field.
Video footage from previous matches could be used to identify repeated patterns in the opponents’ tactics. So you’ll be able to notice high pressing up the field or quick counter-attacks. These applications of machine learning algorithms allow coaches to devise counter-strategies that neutralize opponents’ strengths while exposing their shortcomings, increasing their team’s chances of victory.
Future of Machine Learning Algorithms In Football Predictions
As technology continues to advance and the methods available for data collection improve, machine learning algorithms will surely follow this trend to become more precise in their predictions. One potential development is to include real-time data streams into machine learning models, so they can make faster and adaptive forecasts during live matches. This will also allow coaches to make real-time tactical adjustments based on predictive data and improve their team’s performance on the field.
Advancements in player monitoring technologies, like wearable devices and camera-based systems, are expected to produce more data streams for machine learning algorithms to analyze. This could result in more precise predictions of player movements, fatigue levels, and injury risks, allowing coaches to improve player performance while lowering the chance of damage.
When we closely observe the soccer betting markets, it’s easy to notice the way accuracy of machine learning forecasts keeps increasing. At this rate, it’s projected to have reached a mind-blowing level where we can perfectly predict future games. So, you should definitely expect better and more accurate football tips and predictions and insights into match outcomes, player performances, and betting odds soon. Which should allow you to make better decisions and potentially increase your chances of winning bets


BEHRINGER ULTRA METAL UM100 – The Original and Best
Heavy Metal Distortion Effects Pedal
Take off with the most extreme and sought-after hard rock or heavy metal distortion
This BEHRINGER product has been designed to compete head to head with leading products on the market
Multi-gain circuitry to give you super-thick, tube-like distortion plus endless sustain
Dedicated Distortion, 3-band EQ and Level controls for awesome sound shaping
Status LED for effect on/off and battery check
Runs on 9 V battery or the BEHRINGER PSU-SB DC power supply (not included)
First-class electronic On/Off switch for noise-free operation
High-quality components and exceptionally rugged construction ensure long life
Take distortion to the next level!
Conceived and designed by BEHRINGER Germany
What you get:
- 1 X BEHRINGER UM100 ULTRA METAL Effects Pedal
- 1 X Instruction Sheet.
No Original Box. No Power Supply (runs off 9v battery).
Item is in very good “used” condition.
Click HERE to view the auction..
Similar Items on eBay:


On July 12, the first images taken by the James Webb Space Telescope were released to the public, inspiring awe across the world. Already the images revealed by Webb have led to new understandings. The images show clear pictures of vast nebulae, the clouds of dust that form stars. They have shown that the early universe contained ten times more galaxies than previously thought, with millions upon millions of galaxies, each made up of millions, even a trillion or more, of stars similar to our own sun. It has captured the internal structure of spiral galaxies, and revealed portions of the universe from over ten billion years ago, located billions of light-years away.
But the James Webb Telescope isn’t special only because of these new images it has taken. The telescope is the largest ever built and launched into space. And unlike other space telescopes, such as the Hubble Space Telescope, Webb is designed specifically to capture infrared light, which is light with a very long wavelength that isn’t visible to the human eye. Infrared light can travel long distances and pass through dust and debris in space that might block other wavelengths of light, making the images much clearer.
Webb will be able to observe infrared light coming from very distant galaxies and nebulae, allowing us to observe how galaxies and stars form and evolve. Infrared light picked up by Webb could also tell us what different chemical compounds exist in the atmosphere of other planets — including chemicals such as methane, oxygen, water and others that could indicate the presence of life. And who knows what other discoveries could be made with the data gathered from Webb?
While it may take advanced technology to see the infrared light coming from other stars and galaxies, our own eyes are enough to see the red lights flashing on Earth. The James Webb Telescope is an incredible technological marvel that will allow us to explore the far reaches of the universe, further answering questions about the origins and development of the universe. And yet, while billions of dollars and years of expertise were devoted to constructing this telescope, when it comes to using scientific knowledge to stop the climate crisis, or end famine, or provide everyone with clean water, the governments and corporations of the world are nowhere to be found.
We’re capable of exploring the universe, learning about galaxies, stars and planets located billions of light-years away, and probably even determining whether those ancient planets have life inhabiting them. And yet, as long as we live in a world where everything is dictated by corporations, banks, and their profits, all of humanity’s technological potential and ability to explore the world will be up to the whims of a wealthy elite. They decide if they want to give a few more crumbs from their massive fortunes to science and society, while they spend most of their wealth to keep growing their profits through exploiting workers, making war, and destroying the environment that sustains all life.
Why should it be this way? The images from the Webb telescope not only reflect the enormous potential of humanity, but they also remind us of how we will waste that potential if we remain trapped by this system that is destroying life itself. We have much to do to reorganize ourselves on Earth so that everyone can enjoy the beauty of this planet and our amazing universe.
To see images from the Webb telescope and learn more about it:


ALBA DR400 Digital Holter Monitor Our newest Holter Monitor. This is a "patch" style Holter which means that the patient wears it like a patch on their chest. An animal will wear it on their left side. There are three electrodes snapped onto the back of the machine which will hold it in place on the patient. This machine is a 3-channel machine that can record for up to 14 days. The unit is charged with an included USB Docking station. This unit is for human and for veterinary use.
Price: $1,495.00 (includes DR400 and USB Bluetooth Dongle)
Click image for datasheet
ALBA DR200+ Digital Holter Monitor This is another new ALBA Holter Monitor. It records on an industry-standard SD card, and uses a single AA battery for recording. It is 3 ounces and is sold new with a 3-year warranty. It is made for human and for veterinary use. It may be a good choice for less-technical users who want a machine that they can setup without the use of a computer. You can grab a SD flash card, and a AA battery and hook up the patient. It has a LCD screen, so the hook-up person can see the quality of the ECG tracing before they start the recording period. This machine also records for up to 14 days.


MI-6 olarak bilinen yeni XP PinPointer, aşağıdaki yenilikçi özelliklere sahip olacak:
– Şarj edilebilir Lityum Polimer batarya
– 20 metreye kadar suya dalabilme
– Deus ile kablosuz Bağlantı:
· Duyarlılık 50 seviyeleri
· Ses modu: Pitch veya Bleep
· Ses Tonu Ayarlamaları.
· Nokta tespiti – Hedef yakınlaştırma grafiği
· Araştırma Modu kayıp MI-6 bulmak için
· Ekran Pil Seviye göstergesi olarak
We are proud to announce some new accessories and software for XP DEUS which will be available on the market in a few months. They will be demonstrated at the XP European Rally in the UK which takes place on 17-18th of September, and also at the Exhibition for Metal Detection which will take place in Paris on the 8_9th of October 2016.
New ! PINPOINTER XP MI-6
New ! Optional 22.5cm (9inch) search coil operating at high frequencies
New ! Optional ELLIPTICAL search coil operating at high frequencies.
New ! V4.0 software free to download.
New ! Software application Go Detect.
The new XP Pinpointer known as the MI-6, will have the following innovative features:
– Rechargeable Lithium Polymer battery
– Submersible up to 20 feet
– Connection via radio link to the DEUS with the following advantages (patents pending):
The audio signal from the pin pointer is transmitted directly to the DEUS remote control and headphones.
Anti -Interference system between the MI-6 and the DEUS: The Deus switches to Standby mode when MI-6 is activated and comes back to ON when the MI-6 is switched off.
The Deus display will automatically switch to the MI-6 display when the MI-6 is switched on.
The MI-6 has a very long battery life – Up to 90 hours.
Research mode is accessed from the Deus V4 menu it recovers a lost MI-6.
If you lose your MI-6, you can locate it even if it is switched off….even after several weeks the alarm will sound.
The Deus menu will have a full range of MI-6 adjustments giving the operator full control such as :
· 50 levels of Sensitivity
· Sound mode : Pitch or Bleep
· Audio Tone Adjustments.
· Pinpointing – target zoom graph
· Research Mode to locate a lost MI-6
· On screen Battery Level indication
Henüz inceleme yapılmadı.


> 8 relay outputs,
> Expandable to 16 relays with additional DKG-705R
> Both NO/NC contacts provided,
> Relay functions selectable from DKG-705
DKG-705R is a relay extension unit designed for use with DKG-705 unit. It has 8 16 amps. volt-free contact outputs.
The relay functions are selectable from a list of 112 entries using DKG-705 program mode. A maximum of 2 DKG-705R are cascadable expanding the relay count of DKG-705 to 23.
The connection to DKG-705 is made with a standard six wire telephone cable.


Multifunctional Heated Smart Infrared Knee Massager Arthritis
The Smart Infrared Knee Massager comes with three vibration modes. Through the intelligent computer chip control program, the motors are located on both sides of the knee and drive the whole massager to vibrate by a pair of 3000RPM motors, just like the hand of a masseur, so that people can feel the massage effect of heavy and light.
Liquid crystal display:
The LCD control panel on this Multifunctional Heated Knee Massager makes it easier to see various functions, making it more convenient for the elderly.
The power supply and the heat source are separately used to connect the main body, and you can use them at home or in the office. Smart Knee Massager is made from high-quality ABS, TPU, EVA, safe and durable materials.
- Arthritis Pain
- Knee Injury
- Knee Rehab and more
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InSAR uses radar satellites to measure subsidence. Although it is a high-tech method to measure deformation, it’s principles are fairly simple and is becoming the preferred method for monitoring assets. InSAR has many advantages compared to conventional measurement methods. It generates over 100,000 measurement points per km2, with weekly updates and up-to 25 years back in time. You can monitor a single building or an entire city. So the amount of data you need to analyse to understand the behaviour of your asset is much higher and also different then the conventional methods.
Although we visualise InSAR data on a map, interpreting the data is not as easy as it intuitively seems. To the contrary of conventional measurement techniques, a single measurement point with InSAR doesn’t say much. And since we work with very lengthy time-series of up to 25 years with frequent updates, the average deformation in mm/year can be misleading.
To truly get the most out of InSAR data it is important for asset managers to understand the principles of InSAR data. Reading the data with the knowledge of maintenance etc of the asset, will reveal new insights in the behaviour of the asset. And the longer the time-serie, the more reliable predictions become.
SkyGeo offers a variety of training courses. From beginner to advanced and expert users, but also for different kind of assets. For municipalities we use different courses to detect
SAR & InSAR voor gemeenten
Cursussen worden gegeven door:
Prof. Dr. Ramon Hanssen (TU Delft)


ORIGINAL RESEARCH ARTICLE
Published: February 22, 2019 | https://doi.org/10.1371/journal.pone.0212368
Hu He ,Xu Yang ,Zhiheng Xu,Ning Deng,Yingjie Shang,Guo Liu,Mengyao Ji,Wenhao Zheng,Jinfeng Zhao,Liya Dong
It is evident through biology research that, biological neural network could be implemented through two means: by congenital heredity, or by posteriority learning. However, traditionally, artificial neural network, especially the Deep learning Neural Networks (DNNs) are implemented only through exhaustive training and learning. Fixed structure is built, and then parameters are trained through huge amount of data. In this way, there are a lot of redundancies in the implemented artificial neural network. This redundancy not only requires more effort to train the network, but also costs more computing resources when used. In this paper, we proposed a bionic way to implement artificial neural network through construction rather than training and learning. The hierarchy of the neural network is designed according to analysis of the required functionality, and then module design is carried out to form each hierarchy. We choose the Drosophila’s visual neural network as a test case to verify our method’s validation. The results show that the bionic artificial neural network built through our method could work as a bionic compound eye, which can achieve the detection of the object and their movement, and the results are better on some properties, compared with the Drosophila’s biological compound eyes.


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UDLD is Unidirectional Link Detection protocol.
A link is considered unidirectional when the link is up on both sides but one of the sides is not receiving packets sent by the remote side while the remote side still receives packets sent by the local side.
Layer 2 protocol works with Layer 1 mechanisms to determine the physical link status.
UDLD detects identities of neighbors and shutting down misconnected ports. It exchanges protocol packets between the neighbors. Both devices on the link must support UDLD and have it enabled.
When enabled, each switch port will have the port’s own device/port ID in the UDLD packets and the neighbor’s device/port IDs seen by UDLD on that port. Neighbor ports should see their own device/port ID in the received packets. If the neighbor doesn’t see their own device/port ID for a specified duration of time, the link is considered unidirectional.
When UDLD kicks in the following console message is displayed for the affected port(s):
UDLD-3-DISABLE: Unidirectional link detected on port 1/2. Port disabled
Port remains shut down unless manually reenabled or until the errdisable timeout expires, if configured.
There are two operational modes:


Since it's founding in 1984 Granite State Race Services has sought out and used the latest in timing technology. The personal computer revolutionized how races are timed starting in the mid 1980s. Results could be tabulated as fast as we could type the finishing bib numbers into the computer. In 1999 we became the first timing company in New England to begin using a chip technology called ChampionChip, which made it possible to handle races with thousands of runners with far fewer errors, not to mention much faster, and freed up the runners to exit the finish area without having to wait in long lines. One drawback to this new chip technology was having to deal with hundreds of thousands of non-disposable plastic chips that were tied into shoe laces. They were expensive and the cost of lost chips was born by the runners and sometimes the races themselves. We dreamed of the day when chips would be disposable, and those dreams were answered by a company called ChronoTrack. In 2008 GSRS was once again the first in New England to use the new chip technology, and our partnership with ChronoTrack continues to this day.
The most recent developements in technology affecting the race timing scene is the proliferation of online registration systems that are linked to timing systems, enabling live results onsite and nearly instant email or text results sent directly to runners devices.