Broadband, Wireless and Fibre
EIT offers Broadband, Wireless and Fibre from the Huawei MA56XX family of multi-service access platforms for delivery of traditional telephone, VoIP, Internet, IPTV and Data services over telco copper plant and GPON fibre mediums. Huawei’s Echolife GPON ONTs are paired with these for cohesive FTTX solutions. Broadband
In Wireless LAN environments, EIT can provide Huawei’s full line of Premium, Enhanced and Standard 802.11 Access Points for enterprise, SOHO and household applications.
EIT represents the Huawei suite of eWBB LTE and e-Relay radio access and backhaul solutions for outdoor carrier and enterprise wireless broadband applications.
For optical transport, EIT can provide tailored Huawei OSN x800 Optical CWDM/DWDM transport systems with both FOADM and ROADM options. This technology can be deployed with new fibre or used to enhance/replace existing SONET systems.
Superior Maintainability and Manageability
Operable IPTV Service
For further information and sales quotation on any of our products please contact:
President & VP Sales
(905) 625-4545 x210
IT / Technical Assistance Group Manager, Sales & Services
(613) 342-9652 x227


Device measures of harmonics, interharmonics, unbalance, flicker, active, reactive
and apparent powers, phase angles of fundamental and harmonic components, etc.
High accuracy and standard compliance
All power quality measurements are made according to IEC 61000-4-30 ed.2 Class A. Harmonic and
interharmonic components are measured according to IEC 61000-4-7 Class I. Flicker is measured
according to IEC 61000-4-15 Class F3.
Compact design (96 x 96 x 75 mm)
enables fast and easy installation into distributing panels.
Increased LED indicator height (25 mm)
provides comfortable local meter readings.
Ethernet based synchronization (NTP or PTP IEC 1588)
does not require additional synchronization circuits and is accurate up to В±1μs.
compared to existing power quality instruments.


Prof. Serge Fdida
ACM Distinguished Member, IEEE Senior Member
Sorbonne University, France
Biography: Serge Fdida is a Professor with Sorbonne Université (formally with UPMC) since 1995. His research interests are related to the future internet technology and architecture. He has been leading many research projects in Future Networking in France and Europe, notably pioneering the European activity on federated Internet testbeds. He is currently leading the Equipex FIT, a large-scale testbed on the Future Internet of Things. Serge Fdida has published numerous scientific papers, in addition to several patents and one rfc. He is a Distinguished ACM Member and an IEEE Senior member. He was one of the founders of the ACM Conext conference, general chair of ACM Mobicom 2015 and IEEE Infocom 2019. Serge Fdida has also developed a strong experience related to innovation and industry transfer, - he was the co-founder of the Qosmos company, - one of the active contributors to the creation of the Cap Digital cluster in Paris, and currently the President of the EIT Health French community. He held various community and management responsibilities in various organizations including Sorbonne Université and CNRS. Serge Fdida is Vice President for International Development of Sorbonne University.
Prof. Maryline Chetto
University of Nantes, France
Biography: Maryline Chetto is currently a full professor in computer engineering with the Institute of Technology of the University of Nantes, France. She received the degree of Docteur de 3ème cycle in control engineering and the degree of Habilitée à Diriger des Recherches in Computer Science from the University of Nantes, France, in 1984 and 1993, respectively. From 1984 to 1985, she held the position of Assistant professor of Computer Science at the University of Rennes, while her research was with the Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Rennes. In 1986, she returned to Nantes and has been from 2002 a full professor with the University of Nantes. She is conducting her research at Laboratoire des Sciences du Numérique de Nantes (LS2N) in the Real Time System team. Her main research interests include Scheduling, Fault-tolerance and Dynamic Power Management technologies for real time embedded applications. She is now studying the issue of scheduling tasks under real-time constraints in a device such as sensor node that uses renewable energy to supply it. She has more than 150 papers published in international journals and conferences. She was the editor of the books Real-time Systems Scheduling (Elsevier, 2014) with volume 1 Fundamentals and Volume 2 Focusses. She was the co-author of the book Energy Autonomy of real-time systems (Elsevier, 2016). She was the Chairman of the French national Project Cleopatre ” Composants Logiciels sur Etagères Ouverts Pour les Applications Temps-Réel Embarquées” (2002-2005). She was the program committee co-chair of the 17th International Conference on Real-Time and Network Systems (2009). Since 2011, she was elected member of the French National Council for Universities.
Prof. Jerry Chun-Wei Lin
FIET, ACM Distinguished Member, IEEE Senior Member
Western Norway University of Applied Sciences, Norway
Biography: Jerry Chun-Wei Lin received his Ph.D. from the Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan in 2010. He is currently a full Professor with the Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway. He has published 500+ research articles in refereed journals (with 50+ IEE/ACM Journals, e.g., IEEE TKDE, IEEE TFS, IEEE TNNLS, IEEE TCYB, IEEE TII, IEEE TITS, IEEE TNSE, IEEE TETCI, IEEE SysJ, IEEE SensJ, IEEE IOTJ, ACM TKDD, ACM TDS, ACM TMIS, ACM TOIT, ACM TIST, ACM TOS, ACM TALLIP) and international conferences (IEEE ICDE, IEEE ICDM, PKDD, PAKDD), 16 edited books, as well as 33 patents (held and filed, 3 US patents). His research interests include data mining, soft computing, optimization, artificial intelligence/machine learning, and privacy preserving and security technologies. He is the Editor-in-Chief of the International Journal of Data Science and Pattern Recognition, the Associate Editor of 11 SCI journals including IEEE TNNLS, IEEE TCYB, Information Sciences, etc, and Guest Editor for several IEEE/ACM journals such as IEEE TFS, IEEE TITS, IEEE TII, IEEE SysJ, ACM TMIS, ACM TALLIP, ACM TOIT and ACM JDIQ. He has recognized as the most cited Chinese Researcher respectively in 2018, 2019, and 2020 by Scopus/Elsevier. He is the Fellow of IET (FIET), ACM Distinguished Member and IEEE Senior Member.


CONSTAB Charge Enhancers
PP meltblown nonwovens are frequently used in air filtration applications. You find them for example in the middle layer of commonly used face masks, but also in many other applications from vacuum cleaner bags to filters in HVAC units.
The meltblown used in air filtration is usually electrostatically charged to significantly improve the filtration rate, especially for small particles, e.g., viruses or fine, respirable dust.
There are mainly two processes used to apply the electrostatic charge to the web, which are the following:
In the corona treatment the web passes one or several corona beams for receiving their electrostatic charge.
For applications where the electrostatic charge level is insufficient we offer CONSTAB CONCHARGE 970 as electret masterbatch to improve long term retention of the electrostatic charge in the web.
In the case of hydro-charging the electrostatic charge is implied into the web by means of water-jets. With this technology significantly higher levels of electrostatic charge can be applied to the web. However, a disadvantage is that the web needs to be dried after treatment. For this application a special charge enhancer technology is required which we are applying in our new CONSTAB CONCHARGE 1585.
Both products are produced with meltblown grade PP polymer carriers to warrant for excellent processability. As it is standard for CONSTAB products, only highest purity additives are used which warrant in combination with a perfect dispersion for best results.


- Ali, M., Asif, R., “A Framework for creation of designs of varying complexity for use in weaving/printing of textiles”, International Journal of Computer Science and Network Security (IJCSNS), Vol. 19, No. 5, May 2019.
- Ali, S. A., Asif, R., Hina, S., Fatima, Z., “Cloud Based Remote Lab Platform: An Application of Internet of things (IoT)”, Mehran University Research Journal of Engineering & Technology, Vol. 37, No.4, Oct, 2018.
- Ahmed, S., Hina, S., Asif, R., “Detection of Sentiment Polarity of Unstructured Multi-Language Text from Social Media”, International Journal of Advanced Computer Science and Applications, Vol. 9, Issue, 7, July, 2018.
- Asif, R., Merceron, A. Ali, S. A., Haider, N., “Understanding Students’ Performance at Degree Level”, Computers & Education Journal, Volume 113, October 2017, Pages 177-194
- Hina, S., Asif, R., Mushtaq, S., “Business Intelligence Solution for Food Industry", Journal of Basic and Applied Sciences. Vol. 13, 2017.
- Ahmed, F., Asif, R., Hina, S, Muzammil, M., “Financial Market Prediction using Google Trends”, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 8, No. 7, July, 2017.
- Asif, R., Hina, S, Haque, S. I. “Predicting Student Academic Performance using Data Mining Methods”, International Journal of Computer Science and Network Security (IJCSNS), Vol. 17, No. 5, May 2017 .
- Hina, S, Asif, R., Wahab, A., Noman, U., Ahmed, W., “Secure Information Exchange of Patient’s Health Records Using Anonymization Techniques”, International Journal of Computer Science and Network Security (IJCSNS), Vol. 17, No. 5, May 2017 .
- Itrat, M., Ali, S. A., Asif, R., Khanzada, K., Rathi, M.K., "Automatic Language Identification for Languages of Pakistan”, International Journal of Computer Science and Network Security (IJCSNS), Vol. 17, No. 2, February, 2017.
- Asif, R., Haque, S. I., Zaheer, M. T., Hasan, M. A., “Football (Soccer) Analytics: A Case Study on the Availability and Limitations of Data for Football Analytics Research”, International Journal of Computer Science and Information Security (IJCSIS), Vol. 14, No. 11, November, 2016.
- Asif, R., Haider, N., Ali, S. A.” Prediction of Undergraduate Student’s Performance Using Data Mining Methods”, International Journal of Computer Science and Information Security (IJCSIS), Vol. 14, No. 5, May, 2016.
- Ali, S. A., Andleeb, M., Asif, R., Rehman, D., “Performance Evaluation of Loss Functions for Margin Based Robust Speech Recognition”, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 7, No. 2, February, 2016.
- Asif, R., Merceron, A. & Pathan, M. “Predicting student academic performance at degree level: a case study” International Journal of Intelligent Systems and Applications (IJISA), Vol. 7, No. 1, 2015, 49-61. DOI: 10.5815/ijisa.2015.01.05.
- Hina, S., Asif, R., Ali, S. A.”Anonymisation framework for securing protected health information (PHI) in a complex dataset of medical narratives”, Accepted and to be published in Mehran University Research Journal of Engineering & Technology.
Peer Reviewed Conference Publications:
- Asif, R., Merceron, A. & Pathan, M. “Investigating Performance of Students: a Longitudinal Study”, Proceedings of the Fifth International Conference on Learning Analytics and Knowledge, Poughkeepsie, NY, USA, March 16 - 20, 2015, 108-112. DOI: 10.1145/2723576.2723579.
- Asif, R., Merceron, A. & Pathan, M. “Mining Student’s Admission Data And Predicting Student’s Performance Using Decision Trees”, Proceedings of ICERI2012 Conference, Madrid, Spain, November 19-21, 2012 , 5121-5129, ISBN: 978-84-616-0763-1
- Mustafa, R. “Characterization of Internal Learning Parameters in Artificial Neural Networks”, Proceedings of 2009 International Association of Computer Science and Information Technology - Spring Conference, Singapore, April 17-20, 2009. DOI: 10.1109/IACSIT-SC.2009.92
- Asif, R., Merceron, A. & Pathan, M. “Investigating Performances’ Progress of Students”, Proceedings of the Workshop Learning Analytics, 12th e-Learning Conference of the German Computer Society (DeLFI 2014), Freiburg, Germany, September 15, 2014, 116-123.
Dr. Shehnila Zardari
Ms. Asma Khan
- “Modeling and simulation of Mean Square Error for Packet Loss Criterion in Multiplexing Environment”, published in Mehran University of Engg. & Technology Research Journal, Volume 22, Number 2, April, 2003, pp 129-132.
- “Sensitivity of compressed speech signal energies in relation to human perception”, published in Sindh University Research Journal.(Sci.Ser), Vol: 34-B(02) September 2002 pp.117-119.
- “Analysis of MANNET Routing Protocols using scenario based Mobility Models”, has been published in International Conference at Pakistan Navy Engineering College.
- “A study of software protection techniques”, has been published in CISSE 2007(International Conference)
- “Modeling and Simulation of LPC Envelop difference Criterion”, in process for publication.
- “An improved Numerical Technique for the Solution of Integration” , in process for publication
- “Analysis of MANET Routing Protocols under TCP VEGAS with Mobility Consideration” , has been published in IMTIC'08 11- 12 April 2008 (International Conference )
- “Performance comparison of Non Criterion based Schemes for low bit rate speech based multiplexer Architetecture” ,has been presented in IEEE Sconest 2003 at Bahria University Karachi
- “Time Synchronization for mobile wireless sensor network” International Journal of Computer and Electrical Engineering, Vol. 6, No. 2, April 2014
- “Analysis of Proactive and Reactive MANnet routing protocols under selected TCP variants”.
International Journal of Ad hoc, Sensor & Ubiquitous Computing (IJASUC) Vol.4, No.4, August 2013.
- “Information Leakage in Cloud “, has been presented in IEEE ICOSST 2014, 8th international Conference on open Source Systems and Technologies .
- “Designing of dual band patch antenna using U-slot technique for wireless communication” has been published in Bahria University Research Journal BUJICT.
- HEPO: The hepatitis ontology for abductive medical diagnostic systems
A Khan, A Sadia, S Ahmed, H Tabassum, MS Khan
Communication, Computing and Digital Systems (C-CODE), International …
Asma Khan,Junaid Quadri
International Journal of Computer Applications 180 (180(27):28-33), 6
Asma Khan Aisha Danish,Farukh Shahid
ENGINEERING SCIENCE AND TECHNOLOGY INTERNATIONAL RESEARCH JOURNAL, 2 (1), 6
Ms. Shumaila Ashfaque
- "Design of Fast Parallel Adders using " in
Mr. Faraz Hyder
- H. Ahmed, M. A. Ismail, M. F. Hyder, S. M. Sheraz, and N. Fouq, "Performance Comparison of Spark Clusters Configured Conventionally and a Cloud Service," Procedia Computer Science, vol. 82, pp. 99-106, 2016.
- Syed Muhammad Sheraz, Syed Ali Abbas, Dr. Humera Noor, "Fuzzy Rule Based Traffic Signal Control System for Oversaturated Intersections," cinc, vol. 2, pp.162-165, 2009 International Conference on Computational Intelligence and Natural Computing, 2009.
Ms. Maria Andaleeb Siddiqui
- M.A Siddiqui, H. Kamal, S.A. Ali, “Securing Storage as a Service Model in Cloud using Client Authentication in Virtualized Environment” International Conference on Engineering and Emerging Technologies, Lahore, March 2014.
- M.A Siddiqui, H. Kamal, “A Proposed Approach for Deploying NAS attached storage by configuring virtual switch in ESXi ” International Journal of Scientific and Engineering Research, volume 5, June 2014.
- M.A Siddiqui (et.al), “Impact of Management Information System Implementation Using Virtualized Oracle Database on Manufacturing Enterprises: A Case Study” International Journal of Scientific and Engineering Research, volume 5, August 2014.
- S.A Ali, M.A Siddiqui, A. Khan, “Analysing the influence of Prosodic Features on Emotional states Recognition in Regional Languages of Pakistan" , International Multi-Topic Conference, Jamshoro, 2015.
- M. A. Siddiqui, N.G. Haider, H. Kamal, “Investigating the effect of emotions and sampling frequency on First and Second Formant using Two-way ANOVA in Urdu Language” International Conference on Engineering and Emerging Technologies, Lahore, March 2015.
- M.A.Siddiqui , S.A. Ali, “A Study on the Hourly Behavior of Key Performance Indicators of Global System for Mobile Communications”, Journal of Emerging Trends in Computing and Information Sciences, Volume 6, No. 3, March 2015.
- M.A. Siddiqui, M. Tariq, S. Andleeb, “A survey on Women participation in Experiential Learning for engineering Profession Development”, International Conference on Women in Development, Institute of Business Management , Karachi, 11-12 November, 2015.
- S.A. Ali, M.A Siddiqui et.al, “Performance evaluation of loss function for margin based robust speech Recognition” International Journal of Advanced Computer Science and Applications (IJACSA), ISI indexed journal, Volume 7, No.2, March 2016.
- S.A. Ali , M.A. Siddiqui et.al, “A Study of the Effect of Emotions and Software on Prosodic Features on Spoken Utterances in Urdu Language" International Journal of Image, graphics and signal processing (IJIGSP), (MECS publisher), volume 8, No.4, April 2016.
- M.A. Siddiqui, N.G. Haider, S.A.Ali, “, “Evaluating the Performance of Learning Classifiers and Effect of Emotions and Spectral Features on Speech Utterances”, International Journal of computer Science and Information Security, vol.14, No. 10, pp. 406-412, October 2016.
- W. Hussain, M.A Siddiqui, N.G. Haider “An Overview of Customer Relationship Management Software in Business Organizations”, 10th National Conference on Mathematics, Computer Science and Statistics Conference (MCS-10), Institute of Business Management, 29-30 October, 2016.
- W. Hussain, M.A. Siddiqui, N.G. Haider, “Implementation of Contact Management Software (CMS) and Its Integration with Social Networks”, 5th IEEE Student Conference on Engineering Sciences and Technology (SCONEST 2016), Hamdard University, 14-15 December 2016.
- W. Hussain, M.A. Siddiqui, N.G. Haider, “An implementation of FPGA based data acquisition card (DAQ) for industrial parameter control”, 1st international conference on Innovations in Computer Science and Software Engineering, NED University of Engineering and Technology, 15-16 December 2016.
- W. Hussain , M.A. Siddiqui, “ A case study on Decision Support System in Banks”, First international Conference on Industrial Engineering and Management Applications, Mehran University of Engineering and Technology, Jamshoro, 20-22 February, 2017.
- M.A. Siddiqui, N.G. Haider, S. Hina, S.A. Ali, “A Novel Approach for feature extraction towards classifying normal and special children speech emotions in Urdu Language”, International Journal of Computer Science and Network Security (IJCSNS), vol. 17, No.7, July 2017.
- M.A. Siddiqui, N.G. Haider, S. A. Ali, “Reduced Feature Set for Emotion Based Spoken Utterances of Normal and Special Children using Multivariate Analysis and Decision Trees,” Engineering ,Technology & Applied Science Research, vol.8, No. 4, August 2018.
Ms. Zainab Fatima
- Zainab Fatima,Inshal-ud-din, M.Khurram Design of “On-Cloud Laboratory Platform” to Bring Internet of Things to Laboratories ”IEEEPMulti Topic Symposium 2015, Karachi.
- Zainab Fatima, Umm-e-farwa, Ali Hussain, M.Khurram”Smart Irrigation for Agricultural Areas of Pakistan using WSN ”International DEWSNET Conference on Dependable Embedded Wireless and Sensing Networks2015.
- Zainab Fatima,Umm-e-farwa, Ali Hussain, M.Khurram “Matlab Based Implementation of IEEE 802.11B DSSS Transimitter” Applied science and Technology(IBCAST) 13th International Bhurban Conference 2016.
- Zainab Fatima,Umm-e-farwa, Ali Hussain,M.Khurram “ On cloud Water Resource Management and Smart Irrigation” Ist International conference on Dependabale Embedded wireless and Sensing Networks 2015.
- Zainab Fatima, Syed Abbas Haider “Online Lab for FPGA Devices” in MEHRAN UNIVERSITY RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY, Volume: 3,Issue: 4( ISSN:0254-7821)


Because of the relatively small production volumes and huge varieties of applications, industrial automation typically utilizes new technologies developed in other markets.
Automation companies tend to customize products for specific applications and requirements. So the innovation comes from targeted applications, rather than any hot, new technology.
Over the past few decades, some innovations have indeed given industrial automation new surges of growth: The programmable logic controller (PLC) – developed by Dick Morley and others – was designed to replace relay-logic; it generated growth in applications where custom logic was difficult to implement and change. The PLC was a lot more reliable than relay-contacts, and much easier to program and reprogram. Growth was rapid in automobile test-installations, which had to be re-programmed often for new car models. The PLC has had a long and productive life – some three decades – and (understandably) has now become a commodity.
At about the same time that the PLC was developed, another surge of innovation came through the use of computers for control systems. Mini-computers replaced large central mainframes in central control rooms, and gave rise to “distributed” control systems (DCS), pioneered by Honeywell with its TDC 2000. But, these were not really “distributed” because they were still relatively large clumps of computer hardware and cabinets filled with I/O connections.
The arrival of the PC brought low-cost PC-based hardware and software, which provided DCS functionality with significantly reduced cost and complexity. There was no fundamental technology innovation here—rather, these were innovative extensions of technology developed for other mass markets, modified and adapted for industrial automation requirements.
On the sensor side were indeed some significant innovations and developments which generated good growth for specific companies. With better specifications and good marketing, Rosemount’s differential pressure flow-sensor quickly displaced lesser products. And there were a host of other smaller technology developments that caused pockets of growth for some companies. But few grew beyond a few hundred million dollars in annual revenue.
Automation software has had its day, and can’t go much further. No “inflection point” here. In the future, software will embed within products and systems, with no major independent innovation on the horizon. The plethora of manufacturing software solutions and services will yield significant results, but all as part of other systems.
So, in general, innovation and technology can and will reestablish growth in industrial automation. But, there won’t be any technology innovations that will generate the next Cisco or Apple or Microsoft.
We cannot figure out future trends merely by extending past trends; it’s like trying to drive by looking only at a rear-view mirror. The automation industry does NOT extrapolate to smaller and cheaper PLCs, DCSs, and supervisory control and data acquisition systems; those functions will simply be embedded in hardware and software. Instead, future growth will come from totally new directions.
New technology directions
Industrial automation can and will generate explosive growth with technology related to new inflection points: nanotechnology and nanoscale assembly systems; MEMS and nanotech sensors (tiny, low-power, low-cost sensors) which can measure everything and anything; and the pervasive Internet, machine to machine (M2M) networking.
Real-time systems will give way to complex adaptive systems and multi-processing. The future belongs to nanotech, wireless everything, and complex adaptive systems.
Major new software applications will be in wireless sensors and distributed peer-to-peer networks – tiny operating systems in wireless sensor nodes, and the software that allows nodes to communicate with each other as a larger complex adaptive system. That is the wave of the future.
The fully-automated factory
Automated factories and processes are too expensive to be rebuilt for every modification and design change – so they have to be highly configurable and flexible. To successfully reconfigure an entire production line or process requires direct access to most of its control elements – switches, valves, motors and drives – down to a fine level of detail.
The vision of fully automated factories has already existed for some time now: customers order online, with electronic transactions that negotiate batch size (in some cases as low as one), price, size and color; intelligent robots and sophisticated machines smoothly and rapidly fabricate a variety of customized products on demand.
The promise of remote-controlled automation is finally making headway in manufacturing settings and maintenance applications. The decades-old machine-based vision of automation – powerful super-robots without people to tend them – underestimated the importance of communications. But today, this is purely a matter of networked intelligence which is now well developed and widely available.
Communications support of a very high order is now available for automated processes: lots of sensors, very fast networks, quality diagnostic software and flexible interfaces – all with high levels of reliability and pervasive access to hierarchical diagnosis and error-correction advisories through centralized operations.
The large, centralized production plant is a thing of the past. The factory of the future will be small, movable (to where the resources are, and where the customers are). For example, there is really no need to transport raw materials long distances to a plant, for processing, and then transport the resulting product long distances to the consumer. In the old days, this was done because of the localized know-how and investments in equipment, technology and personnel. Today, those things are available globally.
Hard truths about globalization
The assumption has always been that the US and other industrialized nations will keep leading in knowledge-intensive industries while developing nations focus on lower skills and lower labor costs. That’s now changed. The impact of the wholesale entry of 2.5 billion people (China and India) into the global economy will bring big new challenges and amazing opportunities.
Beyond just labor, many businesses (including major automation companies) are also outsourcing knowledge work such as design and engineering services. This trend has already become significant, causing joblessness not only for manufacturing labor, but also for traditionally high-paying engineering positions.
Innovation is the true source of value, and that is in danger of being dissipated – sacrificed to a short-term search for profit, the capitalistic quarterly profits syndrome. Countries like Japan and Germany will tend to benefit from their longer-term business perspectives. But, significant competition is coming from many rapidly developing countries with expanding technology prowess. So, marketing speed and business agility will be offsetting advantages.
The winning differences
In a global market, there are three keys that constitute the winning edge:
- Proprietary products: developed quickly and inexpensively (and perhaps globally), with a continuous stream of upgrade and adaptation to maintain leadership.
- High-value-added products: proprietary products and knowledge offered through effective global service providers, tailored to specific customer needs.
- Global yet local services: the special needs and custom requirements of remote customers must be handled locally, giving them the feeling of partnership and proximity.
To implementing these directions demands management and leadership abilities that are different from old, financially-driven models. In the global economy, automation companies have little choice – they must find more ways and means to expand globally. To do this they need to minimize domination of central corporate cultures, and maximize responsiveness to local customer needs. Multi-cultural countries, like the U.S., will have significant advantages in these important business aspects.
In the new and different business environment of the 21st century, the companies that can adapt, innovate and utilize global resources will generate significant growth and success.


Smok Novo Vaporizer Analysis
The Smoknovator Juice Extractor is one of the newest items in the VapeWorld Overview. The ergonomically designed refilled juice pack has a curve condition mouthpiece, 2 ounces juice convenience of nic salts, and a powerful air-force side airflow technique. Leave it to SMOK to create the world’s best NOVO, developing a great gift for legitimate vapers or those searching for a travel-friendly, easy-to-use portable device. It really is beautifully crafted yet simple to operate. Just fill the pod with your preferred e-liquid, follow the simple step-by-step instructions, and revel in the incredible flavors of your favorite E-Liquids.
The Smok Novo works with with all Smok Vapor Series Products, including the Smoktech Supernova, SmokTech Elite Delta and Smoktech XLR. Also appropriate for the popular Myogenix line of cartridges, the Smok Novo allows users to take pleasure from their favorite juice at any time. Merely plug in the USB cord and commence using the innovative electronic digital vaporizer. The patented Wave~Motion Control Technology provides a comfortable, ergonomic fit. Furthermore, it includes a smart safety cover which might be detached and worn on your person to safeguard against over heating or electrical shock.
Smok Novo is designed with a durable, heavy-duty zinc-alloy development. The outer shell is constructed of anodized aluminum and the inside is made of a hard rubber material. The note 2 technology offers multiple nicotine levels and vapor patterns for all consumers. You can adjust the heat settings to whatever is most effective for you personally. Smok Novo comes normal with four pre-lit, pre-cool, variable wattage, and variable temperatures vapor outputs. It also includes a charger, carrying case, and user’s guide.
There are two different power levels accessible with Smok Novo, helping you to choose the right power level to meet your personal vaporizing needs. You can select from a higher output (maxi), which produces a powerful blast of vapor and an ultra reduced output (ultra) which create a steady stream of smooth, mellow air flow. Smok Novo utilizes a fresh technology called “wave~action”, that is a revolutionary vaporizing style that produces smooth, consistent effects each and every time. Some Smok Novo models add a side-fill adapter so that your batteries do not need to be changed if you are finished using the device.
The higher wattage output range offered by Smok Novo means that you get extra vapor and extended lasting flavor from your own e liquids. The increase in wattage output also means that the vapor production level is much faster. If you like your cigars or smoking cigarettes to be cool burned, then simply this unit offers you that great smoke-filled experience that you have come to love. Now you can enjoy a longer-lasting and much more flavorful smoking experience each and every time. The Smok Novo has a maximum wattage range of only 450mah meaning that it can be applied to any indoor surface area.
One of the biggest issues with electronic Cigar products has been the battery lifestyle. Most users have complained concerning the battery life being almost gone after a few uses. The Smok Novo has a built-in battery life detector that makes sure the Smok Novo remembers to show itself on each time it really is turned on and off. This feature ensures that the Smok Novo can not work although it is powered on, therefore extending the battery lifestyle.
Smok Novo comes with two vaporizing procedures; the built-found in microwave and the rechargeable nickel-cobalt cell (sometimes known as the cobra) battery existence. The microwave is a very convenient option as it works well in every settings and temperatures. Many consumers also prefer the ease of changing the batteries versus having to dismantle their devices. A significant downside to the Smok Novo may be the price. It costs close to one hundred dollars – well above many vaporizers.
If you are looking for a vaporizer with excellent vapor development and a long battery life, then your Smok Novo might be ideal for you. Smok Novo can be purchased online in a variety of options. The Smok Novo can also be purchased with Smok Novo Pro, which offers advanced features such as for example auto shut down heat system, adjustable airflow costs, variable voltage settings, built-in auto shut off, and Smok Novo’s distinctive eight-day battery guarantee.


Softwares: Electrical CAD, AutoCAD Electrical
Duration: 140 Hrs
Electrical engineers design electrical equipment and electronic products - from microchips & computers to electric power networks - and any other products that process information and transmit energy. The primary task of Electrical Engineers is circuit designing or Schematic diagram. Electrical professionals use constructional CAD software, such as AutoCAD and specific electrical CAD software such as AutoCAD Electrical for better productivity. Engineers can create electrical schematic, control circuit diagrams, and documentation using the industry-specific electrical soft tool. Electrical Circuit designers work in a variety of engineering industries including aerospace, automotive, chemical, construction, defense, electronics, consumer goods, marine, materials & metals, oil & gas, pharmaceuticals, power generation, rail, telecom, and utilities. AutoCAD Electrical software includes all the functionality of basic AutoCAD software plus a complete set of electrical CAD features, including comprehensive symbol libraries and tools for automating electrical design tasks.


Clear Technologies, LLC offers monitoring equipment to verify the H2S concentration in your system. If you are working in biogas, landfill, or digester applications, you need the right analyzers to obtain reliable information. We offer portable and stationary equipment to measure Methane, Carbon Dioxide, Oxygen, Hydrogen Sulfide, Pressure, Flow and Temperature. If you are looking for a biogas analyzer, landfill gas analyzer, or flue gas analyzer for your industry, we have you covered with a wide selection of great options.
The Optima 7 handheld biogas analyzer uses Non-dispersive Infrared technology (NDIR) to measure Methane and Carbon Dioxide. The analyzer uses Electrochemical Cell technology to measure Oxygen and Hydrogen Sulfide. The analyzer is fast and easy to use with intuitive menus and function buttons. User can customize the screen settings and use the analyzer up to 8 hours of operation with its internal Li-Ion battery. The Optima 7 stores 16,000 measurements with its internal memory to allow a full days work load.
The SWG 100 is a continuous stationary analyzer that uses Non-dipersive Infrared technology (NDIR) to measure Methane and Carbon Dioxide. The analyzer uses Electrochemical Cell technology to measure Oxygen and Hydrogen Sulfide. This stationary biogas analyzer is designed for continuous measurement. The SWG 100 key features include: Plug & play, pre-calibrated sensors, efficient sample gas preparation for fast and reliable measurements, sampling from low suction up to high pressure gas, continuous measurement, user settable up to 24 measurements per 24 hours, up to 2 sites monitoring (time sharing technique) with only one analyzer, data storage and event logging on SD card, IP 54 cabinet for use in harsh environment, ready to run delivery, minimum installation work, and low service downtime.


Make business VoIP calls (and so much more) with a cloud-based phone system.
In Australia as the old copper network gets replaced with fibre we are now using the internet to make phone calls. The technical term for this is IP Communications, or what you might heard of before is ‘VoIP’ (Voice over Internet Protocol).
Anyone can make a make VoIP call and you don’t need a whole system to do that, just an internet connection and a nifty app like Skype or WhatsApp.
So, this technology is amazing for individuals, but businesses need multiple phone lines, extra call features and not all IP connections are made equally—things like security and reliability really set different systems apart.
Cloud-based phone systems connect VoIP with PBX infrastructure. PBX stands for “Private Branch Exchange” and these systems allow, redirect, send and make sure call traffic is managed seamlessly. Vonex’s cloud-based phone system is called ONdesk—it is an advanced solution for your business phone needs that enables VoIP calls, as well as a range of other features. It streamlines and manages all your business’ mobile and landline calls using a secure internet platform that’s reliable, scalable and tailored to your communications needs.
The NBN is only the start and will be a key enabler for Cloud based services, opening up a range of opportunities Australian businesses previously didn't have access to.
If you'd like to know more about how to transition your Telco needs to the cloud, drop us a line or call us on 1800 828 668.
Multiple users, HD video streaming, managing a business with a heavy online presence, on-line back up and hosted PBX cloud based services.
Multiple users, HD video streaming, video conferencing, on-line backup, heavy Internet use and hosted PBX cloud based services.
Multiple users, HD video streaming, video conferencing, file sharing, heavy use of Internet and hosted PBX cloud based services.
Take advantage of our customised plans designed to get the most out of the NBN. For a fast reliable service, register your interest now.


With a Master Degree in Engineering. Knowledgeable of P&IDs, PFDs, SIL, INtools, NQA-1 code, IEEE, ASME& HAZOP. Ability to prepare control system philosophy and narrative documents.
Automation Engineer 2201
10 Years of Experience
Experience includes while not limited to system level function definition, sub-system function definition, P&ID generation, BOM generation, Control system requirement documentation generation, SCADA System Hardware and Software development platform specification and selection, Control System Software Structure definition and Control logic Development, Simulation, and Code Generation, Control system hardware and software integration, and System Commissioning. FMECA of the Controlled System, HAZOP of the Test Facility. Factory Acceptance Test (FAT) of the Control System Hardware and Software. Interfacing with hardware venders and customers to make sure the Conformance of the design with the requirements.
5+ Years of Experience
With a Master Degree in Mechanical Engineering. Knowledgeable in ASME, ASTM, API, DNV related to design and analysis of surface and subsea pressure containment equipment. Proficiencyin pipeline design against burst, collapse, and buckling using BS PD-8010 and DNV-OS- F101.


Infra-red thermometers' sensors incorporate state of the art technology to achieve one goal, which is to measure accurate and non-contact temperature. With this method, the device measures precise temperature, without any physical effect or impact on the target. TEMP TELLER PLUS is a portable, handheld meter, which is ideally suited for fast and mobile temperature measurement. Universally usable, it provides fast results in many situations. FEATURES
- Small in size and easy to use.
- Measures quick and accurate temperature.
- Can operate in two modes : Temple and Object.
- Measurement Range : Temple mode- 34-42.2°C, Object mode - 00-99.9°C.
- Size : 13.5cm(L) * 3.55cm(W) *4.2cm(H).
- Weight : 65g.
- Memory : 9 sets.
- Autoshut down after 60seconds.
- Battery Life : Upto 3000 consecutive measurements.


Transforming CNC Manufacturing with AI
In the manufacturing world, Computer Numerical Control (CNC) machines have been a staple for years. They provide automated control of machining tools such as mills, lathes, and 3D printers. Recently, the inclusion of artificial intelligence (AI) in these machines has been a game changer.
AI’s Influence on CNC Machines
Integrating AI into CNC machines has led to significant improvements in efficiency, performance, and cost-effectiveness. The machines can analyze real-time data during production, allowing for performance adjustments and predictive maintenance.
- Efficiency and Productivity: Real-time data analysis allows for immediate adjustments to boost efficiency and productivity.
- Performance: Machine learning, a subset of AI, allows for continuous learning and adaptation, improving machine performance over time.
- Cost-effectiveness: AI’s predictive capabilities allow for proactive maintenance, resulting in cost savings by ensuring timely servicing.
Case Studies of AI in CNC Machines
There are several companies harnessing the potential of AI in CNC machines. MachineMetrics has developed a platform for real-time visualization of CNC machine analytics, resulting in 20% increases in throughput and efficiency. Meanwhile, Bonsai AI in collaboration with Siemens developed an automated recalibration system that significantly outperformed human operators.
Emerging Technologies in AI and CNC
The CNC industry continues to evolve, with technologies such as advanced machine learning algorithms, reinforcement learning, and edge computing shaping its future. New AI libraries like Byte Buddy are also becoming relevant, enabling data collection and analysis to enhance operational efficiency.
Economic Impact of AI in CNC
The economic benefits of AI integration in CNC machines are significant:
- Efficiency and Productivity: Real-time data analysis and feedback improve machine operation, increasing efficiency and productivity.
- Cost Savings: Predictive maintenance capabilities lead to cost savings by ensuring that machines are always operational and serviced at the right time.
- Increased Visibility: Real-time visualization of machine analytics allows companies to optimize processes, leading to increased efficiency and throughput.
Challenges and Limitations
While AI’s impact on CNC machines is promising, challenges remain. Achieving full automation requires substantial technological groundwork, and the interpretation of complex phenomena may still require human intervention.
Looking Ahead: Future Prospects
Continuous, automated optimization driven by machine learning and AI will shape the future of CNC machining. CNC systems will have enhanced predictive capabilities and will become increasingly autonomous, requiring human intervention mainly for definition and refinement of parameters.
AI is set to significantly improve maintenance procedures, potentially resulting in considerable cost and time savings for manufacturers. We stand on the precipice of a new era in CNC manufacturing, with AI driving innovation and efficiency.
The integration of AI in the CNC industry is not an optional upgrade, but a necessity for competitiveness in the rapidly evolving digital world. From operational efficiency to cost savings and improved performance, AI is reshaping the face of CNC manufacturing, delivering value at every step. As we look to the future, the potential of AI in CNC continues to inspire, offering a glimpse into a new era of automated, optimized, and high-performance manufacturing.
As industry players, it’s imperative we stay ahead of the curve, embracing these transformative technologies and integrating them into our operational DNA. The future is here, and it is smarter, faster, and more efficient. The future is AI in CNC manufacturing.


|Minimum Order Quantity||1 Nos|
|Country of Origin||Made in India|
Ducted Air Conditioner
Explore the most comprehensive range of Ducted air conditioning systems at Daikin. They are perfect for homes, open-plan offices, shops, schools, restaurants and any other big-size spaces that require balanced air distribution around the room. The most practical choice for heating or cooling large air conditioning remains a challenge.
New wired LCD remote controller New LCD based wired type remote handset with alphabetic error display like HP, LP, SPPR, indoor fan current sensor etc. In-built energy saver dedicated button and glossy finish. High performance even at high ambient temperature Always keeping your comfort in mind, Daikin ducted air conditioners work at high ambient temperature (48°C) without tripping. Get the best out of Daikin ducted air conditioners even in hot weather conditions. Under voltage and over voltage protection Given the erratic electricity supply it becomes important that your air conditioners are guarded against under voltage and over voltage. Daikin ducted air conditioners offer protection against voltage fluctuation thus enhancing the operating life of your air conditioners. Phase imbalance voltage It is vital that your air conditioner is protected against imbalance and Daikin duct air conditioners offer this protection to ensure reliable operation of the air conditioner. Electrical equipment especially motors and their controllers will not operate reliably on unbalanced voltages. Greater imbalances may cause overheating of components and damage the air conditioners. Phase Loss Protection In case of any phase loss Daikin machine will display error on its controller.
Phase reverse protection Phase reversal could cause serious problems therefore much care is required to protect the motor from such type of fault. Daikin duct air conditioners offer protection from phase reversal thus enhancing the life of the air conditioners. Pre-charged refrigerant Daikin India’s FDR65, FDR100, FDR130 and FDR200 models are available with pre-charged refrigerant for 7.5 meter piping length. No need for additional refrigerant charge on-site if piping length is upto 7.5 meters.
Air discharge orientation FDR65-200 models come with standard horizontal air discharge
- Delivery Time: 1 Week
- Packaging Details: Standard


Electric Cylinder Head Temperature Sender
Electric Cylinder Head Temperature Sender; 340 Deg. F; Replacement;
- Attachment Method: Screw-In
- Connector Gender: Male
- Dimensions: 1.200 in. x 0.470 in. x 0.470 in.
- Temperature: 100-250 F
- Thread Size: 1/8NPT
- Type: Screw-In
- Voltage: 12 V
- WARNING CA Proposition 65: Yes
- WARNING CA Proposition 65 Message: Warning: This product can expose you to chemicals; which are known to the State of California to cause cancer. For more information; visit www.p65warnings.ca.gov.
These replacement temperature sensors are designed specifically for use with AutoMeter short sweep electric air core gauges and are suitable for cylinder head monitoring and for replacing AutoMeter sensor #2258 where clearance and depth issues would otherwise prevent typical installation.
Next generation instruments from Auto Meter combine our NASCAR proven racing movements with our award winning LED lighting technology to offer you the ultimate in Accuracy, Durability, Visibility and Styling.


Beijing Hardrock Technology Co.Ltd was founded in 2001 and became a product-support solution supplier of thousands of door industries in 2008. Our company had signed Strategic Partnership Agreement with top 100 listed real estate companies in 2010. Our company was changed into a joint-stock company in June 2014 and was listed on the new OTC market in 2015 (stock code: 831629).
Beijing Hardrock Technology company established t wholly owned subsidiary company Beijing ANHENGSHITONG website technology company in 2014 which is focusing on intelligent door control products research and development, and apply web of thins ,cloud computing and big data technologies on intelligent home, intelligent campus, intelligent apartment, intelligent building control functions, to provide customers with a comprehensive range of functional system solutions and value-added services.
Our company has many core technologies with independent intellectual property rights and more than 40 national invention patents, to be a National high-tech enterprises for consecutive years.
Our company registered "ROCK and ANHENGTONG" brand in 2001. In 2016, it was selected as "Famous Trademark of Beijing".
Our company dedicated in smart home market and build intelligent lock cloud platform. I68 series intelligent lock was awarded "2015 Beijing new technology product".


We have an accumulated growth area of 150 m2. Our vertical farms are equipped with a single nutrient circulating system and a fertigation unit.
They also have their independent HVAC unit, CO2 dosing and monitoring system. They range from three to five stories the tray sizes from 0.4 m2 to 2.7 m2. The sensors are measuring the room’s CO2 level, temperature(C°) and relative humidity (RH%), temperature and relative humidity above every single tray and also the temperature of the nutrient.
The monitoring system watches over the EC and pH levels of the nutrient as well as the water’s flow and pressure in the pipes.


A new, uni?ed transform method for boundary value problems on linear and integrable nonlinear partial di?erential equations was recently intro- duced by Fokas. We consider initial boundary value problems for linear, constant- coe?cient evolution equations of arbitrary order on a ?nite domain. We use Fokas’ method to fully characterize well-posed problems. We derive an implicit solution to the IBVP. We also discuss the global relation and classi?cation of boundary condition.
Keywords and Phrases
Unified Transform Method, Nonlinear Partial Differential Equations, IBVP.
A.M.S. subject classiﬁcation


GPS and its effects on society essay More than 500 million people worldwide daily use the GPS, allowing anyone at any place on Earth, at almost any weather, as well as in outer space near the planet, to determine the location and speed of objects.
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Global Positioning Systems usually refer to the GPS receiver. It was developed by the U.S. military and after a while, the U.S. government opened it up for the public. The GPS receiver receives signals coming from 27 satellites orbiting the Earth and from those signals the GPS receiver can calculate its absolute position of Earth.Gps Essay, Research Paper. The Global Positioning System ( GPS ), a system of 24 orbiters circling the Earth, is a reasonably new engineering. As with a batch of new engineerings there are countless advantages and utilizations? but there is besides a downside to our increasing trust on this system.Check Out Our Global Positioning System Essay GPS a short acronym for Global Positioning System is a tool that helps in determining or locating a position by use of radio waves and a satellite or satellites. According to Max (2010) this device gives position in any part of the world regardless of the time of day or the kind of weather.
The global positioning system (GPS) is a 24- satellite navigation system that uses multiple satellite signals to find a receiver’s position on earth. GPS was developed by the U.S. Department of Defense (DoD). The technology was originally used for military purposes.Read More
Introduction A tracking system is Essay. 1 Introduction A tracking system is used for the tracking and monitoring of people, vehicle, or any other objects on the move and supplying a timely ordered sequence of location data for further processing. The bus tracking system is a total security and management solution.Read More
The Global Positioning System attained its popularity through affordable prices, reliability and the overall interest of a new means of navigation. It is much easier to punch in the desired address and listen to the voice commands to get to your destination, than to use the conventional way of reading a map and compass.Read More
The Global Positioning System provides the user detailed road map with voice guidance until the smallest details. Subsequently, if these GPS programs can be enhanced with even more improved and more detailed maps, gathered with as many as possible languages concerning the voice guidance, people would have no apprehension to take decision for a trip in any place in the world.Read More
While some news you may view counseling as treatment grounding your voice in support of the global positioning system and tesol from the incident. help me do my maths homework certified resume writers How to write a cover letter for social work. Question this question was my on descriptive a how to write essay favourite food.Read More
The GPS (Global Positioning System) on the device can be used for many uses, for in depth monitoring of the UAV, to controlling the path that it takes by setting 'waypoints', a set of co-ordinates that identify a point in a physical space.Read More
Get your free examples of research papers and essays on Differential here. Only the A-papers by top-of-the-class students. Learn from the best!Read More
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Essay Writing Basics; Essay Ideas; The Essay Introduction; The Essay Conclusion;. and low cost localization scheme is proposed using a mobile anchor node equipped with a directional antenna and a global positioning system receiver which automatically resolves the problem of hidden terminal and deafness. In antenna model, Border line.Read More


Using products found in nature, researchers create a new, ecofriendly battery.
Research provides new insight into best arrangement of wind energy turbines on large installations.
Students at Brown and RISD have designed a new solar house. The house is now under construction.
A unique solar panel design made with a new ceramic material points the way to potentially providing sustainable power cheaper, more efficiently, and requiring less manufacturing time. It also reaches a four-decade-old goal of discovering a bulk photovoltaic material that can harness energy from visible and infrared light, not just ultraviolet light.


Prominent & Leading Manufacturer from Pune, we offer abb pm554-r 24vdc plc.
ABB PM554-R 24VDC PLC
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A programmable logic controller is a specialized computer used to control machines and processes. Unlike a personal computer though the PLC is designed to survive in a rugged industrial atmosphere and to be very flexible in how it interfaces with inputs and outputs to the real world.


We build robot solutions for SMB manufacturers and deploy them faster than traditional system integrators.
We quickly teach robots new tasks to help streamline your manufacturing process. After a quick site visit, we'll pinpoint the best spots for automation and set up a robot that you can rent monthly.
We come to your facility to identify the best areas that could benefit from automation.
We swiftly program a robot to perform the tasks you need, making sure it meets your specific requirements.
We set up the robot at your location, ensuring a smooth integration with your existing operations. You then pay a monthly rental fee.


Tellur 331321 WiFi Wall Plug, έξυπνη πρίζα 3000W, 16A, white
Remote control. Voice control. Powerful.
Simple, but yet smart! The WiFi Wall Plug can be easily installed and used with the Tellur Smart app. You can set timers, schedules and use all the integrated smart functions because the plug is fully customizable using only your smartphone. Moreover, it can be remotely controlled anytime, from anywhere thru the Tellur Smart app. The WiFi Wall Plug is also compatible with Amazon Alexa & Google Assistant, so you can easily control the device by simply using your voice. Offering a max load of 16A-3000W, the WiFi Wall Plug is powerful and, thanks to its integrated overload protection function, it also keeps your devices safe by switching off the power supply when a connected electrical device is overloaded in order to protect it.
WPA-PSK/ WPA2-PSK /WPA/WPA2/WEP/WPS2/WAPI
Devices with Android 4.2 / iOS 8 or more recently
86 x 86 x 43.5mm


WELCOME TO IJCNN-2021 SPECIAL SESSION ON BAYESIAN NEURAL NETWORKS
“Intelligence relies on understanding and acting in an imperfectly sensed and uncertain world” --- Prof. Zoubin Ghahramani
ABOUT BAYESIAN NEURAL NETWORKS
Prof. Zoubin Ghahramani said in his Nature paper , “intelligence relies on understanding and acting in an imperfectly sensed and uncertain world”. Such uncertainty handling ability is even more critical for some safety-critical tasks (e.g., autonomous driving and medical diagnosis). Unfortunately, existing neural networks are weak on that. The topic of this session - Bayesian neural networks - is to combine the beauties of two fields: neural networks which is powerful on complex function approximation and hidden representation learning, and Bayesian which has solid theoretical foundation on uncertainty modeling. It is a newly emerging topic for neural networks. Compared to vanilla neural networks, Bayesian neural networks has distinctive advantages: 1) representing, manipulating, and mitigating uncertainty based on the solid theoretical foundations of probability; 2) encoding the prior knowledge about a problem; and 3) good interpretability thanks to its clear and meaningful probabilistic structure.
This area started roughly in 1990s when Radford Neal , David MacKay , and Dayan et al.  firstly use Bayesian techniques in neural networks. However, there is no much works following them. As the quick development of both neural networks and Bayesian learning over the past few years, this area has received great interest from the community again, and then many seminal works emerged to lay the theoretical foundation and achieve state-of-the-art performances, such as Dropout as a Bayesian approximation , the connection between Gaussian Process with neural network , Bayesian convolutional neural networks , etc. In addition, due to the need of quantifying uncertainty, this area has also attracted interest from wider communities including computer vision, natural language processing, and medical application . To keep and enhance such great success, this special session will study the new theories, models, inference algorithms, and applications of this area, and will be a platform to host the recent flourish of ideas using Bayesian approaches in neural networks and using neural networks in Bayesian modelling.
CALL FOR PAPERS
All aspects of using Bayesian approaches in neural networks and using neural networks in Bayesian modeling are welcomed, including but not limited to:
Theoretical connections between stochastic processes and neural networks;
Various prior design for different types of neural networks;
Fusion of probabilistic graphical models with neural networks (such as: neural topic models, neural stochastic processes, HMM with neural network likelihoods);
(Conditional) Variational autoencoders;
Bayesian deep learning (such deep kernel learning)
Variational Bayesian neural networks
Approximate inference for Bayesian neural networks (such as variational Bayes, expectation propagation, etc.);
Stochastic gradient Markov chain Monte Carlo (MCMC);
Scalable inference in Bayesian neural networks for big data;
Bayesian neural networks for classification and regression with uncertainty estimation;
Bayesian neural netoworks for computer vision (object detection, semantic segmentation and scene understanding, motion prediction);
Bayesian neural networks for transfer learning;
Bayesian neural networks for reinforcement learning;
Bayesian neural networks for causal inference;
Bayesian neural networks for temporal and spatial data mining;
Bayesian neural networks for text and web mining;
New baselines for Bayesian uncertainty in network networks.
IJCNN is the premier international meeting for researchers and other professionals in neural networks and related areas. IEEE IJCAI 2021 will be held virtually.
Guidelines for Paper Submission
All papers should be prepared according to the IJCNN 2021 submission policy and should be submitted using the conference website (https://www.ijcnn.org/paper-submission) .
To submit your paper to this special session, you will need to choose our special session "S28. Bayesian Neural Networks: The Interplay between Bayes' Theorem and Neural Networks"
Submission Link: https://ieee-cis.org/conferences/ijcnn2021/upload.php
All papers accepted in this special session will be included in the IJCNN conference proceedings published by IEEE Explore which are indexed by EI.
Get to Know Us
Peter Faber Business School
Australian Catholic University, Australia
DR. JUNYU XUAN
School of Computer Science
University of Technology Sydney, Australia
15 Jan 2021 Paper Submission Deadline
15 Mar 2021 Paper Acceptance Notification of acceptance or rejection
15 April 2021 Deadline for receipt of final manuscript
18-22 July 2021 Shenzhen, China, IJCNN-2021
All deadlines are U.S. pacific time time, 11:59pm.
Zoubin Ghahramani, Probabilistic machine learning and artificial intelligence, Nature, 521(7553), 452, 2015.
Radford Neal, Bayesian learning for neural networks, PhD Thesis, 1995.
David MacKay, A practical Bayesian framework for backpropagation networks. Neural Computation, 4(3), 448-472, 1992.
Peter Dayan, Geoffrey Hinton, Radford Neal, and Richard Zemel. The Helmholtz machine, Neural Computation 7(5), 889-904, 1995.
Yarin Gal and Zoubin Ghahramani, Dropout as a Bayesian approximation: Representing model uncertainty in deep learning, ICML 2016.
Jaehoon Lee, et al. Deep neural networks as Gaussian processes. arXiv preprint arXiv:1711.00165, 2017.
Kumar Shridhar, Felix Laumann, and Marcus Liwicki, A Comprehensive guide to Bayesian convolutional neural network with variational inference, arXiv preprint, arXiv: 1901.02731, 2019.
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul Fieguth, Xiaochun Cao, Abbas Khosravi, U Rajendra Acharya, Vladimir Makarenkov, and Saeid Nahavandi, A review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges, arXiv preprint, arXiv: 2011.06225, 2020.


If you’re like me, you love your Google Home Mini. But what if I told you that you could make it even better? By connecting it to a Bluetooth speaker, you can turn your Google Home Mini into a powerful audio system. Here’s how to do it:
Google Home Mini as Bluetooth Speaker
You can connect your Google Home Mini to any Bluetooth speaker for a better audio experience. Here’s how:
- Step 1: Turn on your Google Home Mini and Bluetooth speaker.
- Step 2: Place your Google Home Mini close to the Bluetooth speaker.
- Step 3: On your mobile device, open the Google Home app .
- Step 4: In the top right corner of the home screen, tap Devices . Then, tap the settings icon next to your Google Home Mini.
- Step 5: Scroll down and tap More Bluetooth settings.
- Step 6: Under “Pair new device,” tap VIEW PAIRED DEVICES. If no devices are listed, skip to step 9.
- Step 7: Tap FORGET next to each listed device. If you don’t see FORGET, tap the overflow icon in the top right corner of the screen and select FORGET DEVICE from the drop-down menu.
- Step 8: Repeat step 7 for each listed device until no devices remain.
- Step 9: Return to Bluetooth settings and make sure that pairing mode is turned on . Then, wait for your speaker to appear in the list of available devices.
- Step 10: Tap PAIR on your mobile device and follow any on-screen instructions. Once your device is connected, you’ll hear a sound confirm it’s working..
How to Connect Google Home Mini as Bluetooth Speaker
If you have a Google Home Mini and want to use it as a Bluetooth speaker, here’s how. First, open the Google Home app on your iPhone or Android phone. Next to the home that you want to use the Mini as a speaker, tap Devices Verify that your mobile device is connected to the same Wi-Fi network as your Google Home Mini. If it isn’t, then connect it now. In the top right corner of the home screen, tap Add Add device or action Choose Add Bluetooth device Set up Bluetooth speakers. Now, put your Google Home Mini into pairing mode by saying “Ok Google, Bluetooth pairing.” If prompted, choose Nearby devices. The Google Home app will start scanning for devices_ when it finds your Mini, it will show up on the list with the name “Google Home Mini.” Tap on it to connect.
The Benefits of Using Google Home Mini as Bluetooth Speaker
Google Home Mini is a voice controlled speaker powered by the Google Assistant. You can ask it questions, and tell it to do things. Just start with, “Ok Google.” The benefits of using Google Home Mini as Bluetooth speaker are many. First, you can easily connect it to your existing Bluetooth speaker system. Second, you’ll be able to control it using your voice. Third, you’ll get all of the benefits of the Google Assistant, including hands-free calling and messaging, music playback, and more. Finally, you’ll be able to use it as a regular speaker when not connected to a power source.
The Features of Google Home Mini as Bluetooth Speaker
Google Home Mini as Bluetooth speaker is a good product.It has many features that users can take advantage of. Below are some features of this product:
- The product is affordable
- The product is easy to set up
- The product has clear sound quality
- The product is small and compact
- The product is portable
The Limitations of Using Google Home Mini as Bluetooth Speaker
Despite its small size, the Google Home Mini is a powerful little speaker that can easily fill a room with sound. However, because it was designed to be used as a voice assistant first and foremost, there are some limitations to using it as a Bluetooth speaker. For starters, the Mini can only be connected to one device at a time over Bluetooth. This means that you won’t be able to connect it to multiple devices and play audio from all of them simultaneously.
Another limitation is that the volume on the Mini is controlled by the volume of the device it’s connected to. So if you’re trying to play music from your phone at a low volume, the Mini will likely be too quiet to be useful. Finally, the Mini doesn’t have any physical buttons for controlling playback. This means that if you’re using it as a Bluetooth speaker, you’ll need to use your phone or another connected device to play/pause, skip tracks, etc.
How to Troubleshoot Common Problems With Google Home Mini as Bluetooth Speaker
If you’re having trouble connecting your Google Home Mini as a Bluetooth speaker, there are a few things you can try to troubleshoot the issue.First, make sure that your Google Home Mini is powered on and within range of the Bluetooth device you’re trying to connect it to. Then, open the Google Home app on your mobile device and tap the device icon in the upper right-hand corner. From there, tap the three dots in the upper right-hand corner of the screen and select Settings. Under Device info, tap Bluetooth.
You should see a list of available Bluetooth devices. If your Google Home Mini is not listed, try tapping the refresh icon in the top right-hand corner of the screen. You see your Google Home Mini listed, tap it to connect. If you’re still having trouble, restart your Google Home Mini by unplugging it and plugging it back in. Once it’s powered back on, try connecting again.


Asst/assoc/full Professor - Resilient And Sustainable Energy SystemsThe Department of Electrical and Computer Engineering at Northeastern University invites applications for open positions at all levels, with a preference toward senior levels. We seek exceptional candidates addressing problems in resilient and sustainable energy systems, with expertise broadly in one or more of the following areas:
•Utility power systems
•Power electronics and machine drives
•Renewable energy and sustainable systems
•Networks and cyber-physical systems
•Large scale system monitoring and control
The successful senior candidate should be an established researcher with a sustained record of funding, peer reviewed publications, and strong technical leadership. Outstanding candidates at the assistant professor level will also be considered. Successful candidates will be expected to develop strong independent research programs and to excel in teaching in both our undergraduate and graduate programs.
QualificationsA Ph.D. in Electrical and Computer Engineering or a closely related field by the start date is required.
Apply for this Position
Applications should include a complete curriculum vitae, a statement of current and future research interests, a statement of teaching interests, and contact information for at least four references. For more information, contact Professor Ali Abur (email@example.com). Review of applications will begin immediately and will proceed until the position is filled.


The sun’s rays shine down onto panels of PV cells, otherwise known as solar panels, which begins the energy harnessing process:
- Particles of sunlight known as photons hit PV panels and are absorbed by the silicon found within the panels.
- Photons knock electrons loose from their atoms causing an electrical potential difference.
- Current flows through the panels to cancel the potential charge difference, which in turn is captured as direct current (DC) The semi-conductive properties of the silicon allow the current to flow in one direction only.
- The electricity is harnessed as DC electricity and converted by an inverter into alternating current (AC) electricity and fed into the power grid for local consumption.


Brands monitor social media text posts with their brand mentions to learn how consumers perceive, evaluate, interact with their brand, as well as what they say about it and why. The type of social listening that focuses on monitoring visual-based conversations is called (drumroll, please)… visual listening. How do we understand whether a person passing by on the street is an acquaintance or a stranger (complications like short-sightedness aren’t included)?
- Finally, in the red text of the last block of code, paste the file path link that you just copied within the double quotes.
- In the later stage, the account authority can be shared with the existing system of the hospital to realize the integration of the system platform.
- The technology uses artificial intelligence and machine learning algorithms to learn patterns and features in images to identify them accurately.
- The traditional approach to image recognition consists of image filtering, segmentation, feature extraction, and rule-based classification.
- The success of recognition can be complicated by any changes in appearance, for example, hairstyle and hair color, the use of cosmetics and makeup, and the consequences of plastic surgery.
- This face is then analyzed and matched with the existing database of disorders.
Let’s see what makes image recognition technology so attractive and how it works. Considering that Image Detection, Recognition, and Classification technologies are only in their early stages, we can expect great things are happening in the near future. Imagine a world where computers can process visual content better than humans. How easy our lives would be when AI could find our keys for us, and we would not need to spend precious minutes on a distressing search. You may have observed this on several social media platforms, where an image’s description is automatically constructed and posted if the alternate text is lacking.
Challenges of AR image recognition
The capabilities of this software include image quality checks, secure document issuance, and access control by accurate verification. Accurate recognition of clothes is an integral part of the visual search in the fashion industry. Basically, AI algorithms are specifically adjusted to detect clothing only. As such, you can use your phone’s camera to unlock it, try on Instagram masks, and many more. It is possible to distinguish two major ways of image recognition implementation in the fashion industry.
The efficacy of this technology depends on the ability to classify images. In fact, image recognition is classifying data into one category out of many. One common and an important example is optical character recognition (OCR).
A Multiple Object Recognition Approach via DenseNet-161 Model
Every iteration of simulations or tests provides engineers with new learning on how to best refine their design, based on complex goals and constraints. Finding an optimum solution means being creative about what designs to evaluate and how to evaluate them. Boundaries between online and offline shopping have disappeared since visual search entered the game. For instance, the Urban Outfitters app has a Scan + Shop feature, thanks to which consumers can scan an item they find in a physical store or printed in a magazine, get its detailed description, and instantly order it.
Is OCR a type of AI?
How does OCR work at Google Cloud? Google Cloud powers OCR with best-in-class AI. It goes beyond traditional text recognition by understanding, organizing and enriching data, ultimately generating business-ready insights.
ResNet (Residual Networks)  is one of the giant architectures that truly define how deep a deep learning architecture can be. ResNeXt  is said to be the current state-of-the-art technique for object recognition. R-CNN architecture  is said to be the most powerful of all the deep learning architectures that have been applied to the object detection problem. YOLO  is another state-of-the-art real-time system built on deep learning for solving image detection problems. The squeezeNet  architecture is another powerful architecture and is extremely useful in low bandwidth scenarios like mobile platforms. SegNet  is a deep learning architecture applied to solve image segmentation problem.
The emergence and evolution of AI image recognition as a scientific discipline
We hope that the system can be developed into a multi-functional tool against COVID-19 and other emerging virus infections. Sensitivity, specificity, and accuracy were determined by the selected operating point. The operating point between the low false-negative diagnosis rate (sensitivity) and the low positive diagnosis rate (1 − specificity) was set at different thresholds.
For instance, airport security employs it to confirm the validity of ID and passports, while OCR is used in traffic surveillance to identify and track licence plates of vehicles breaching the law. Image Recognition, a branch of AI and computer vision, uses Deep Learning methods to enable several practical use cases. Perhaps even more impactful is the new avenues which adopting these new methods can open for entire R&D processes. Engineers need fewer testing iterations to converge to an optimum solution, and prototyping can be dramatically reduced. In other words, the engineer’s expert intuitions and the quality of the simulation tools they use both contribute to enriching the quality of these Generative Design algorithms and the accuracy of their predictions.
Meta Releases ‘Segment Anything’: An AI Image Recognition Tool
In unsupervised learning, a process is used to determine if an image is in a category by itself. Neural networks are complex computational methods designed to allow for classification and tracking of images. Real-time emotion detection is yet another valuable application of face recognition in healthcare. It can be used to detect emotions that patients exhibit during their stay in the hospital and analyze the data to determine how they are feeling.
- The CIFAR-10 set and CIFAR-100  set are derived from the Tiny Image Dataset, with the images being labeled more accurately.
- The images of some patients during hospitalization were collected and analyzed, and these image files were archived and stored on the platform(Fig. 3).
- For the past few years, this computer vision task has achieved big successes, mainly thanks to machine learning applications.
- If we were to train a deep learning model to see the difference between a dog and a cat using feature engineering… Well, imagine gathering characteristics of billions of cats and dogs that live on this planet.
- The purpose of visual object tracking in consecutive video frames is to detect or connect target objects.
- This research builds an early warning model for severe COVID-19, which has a certain innovative contribution.
For example, ask Google to find pictures of dogs and the network will fetch you hundreds of photos, illustrations and even drawings with dogs. It is a more advanced version of Image Detection – now the neural network has to process different images with different objects, detect them and classify by the type of the item on the picture. Let’s say I have a few thousand images and I want to train a model to automatically detect one class from another. I would really able to do that and problem solved by machine learning.In very simple language, image Recognition is a type of problem while Machine Learning is a type of solution.
AI in image recognition: early days
Cars equipped with advanced image recognition technology will be able to analyze their environment in real-time, detecting and identifying obstacles, pedestrians, and other vehicles. This will help to prevent accidents and make driving safer and more efficient. This tutorial shows you how to classify an image from a given breast ultrasound image dataset that was collected in 2018 which was trained using the Microsoft ResNet50 Image Classification Model.
The technology uses artificial intelligence and machine learning algorithms to learn patterns and features in images to identify them accurately. In the age of information explosion, image recognition metadialog.com and classification is a great methodology for dealing with and coordinating a huge amount of image data. Here, we present a deep learning–based method for the classification of images.
Face recognition using Artificial Intelligence
If you need to classify elements of an image, you can use classification. Despite all the technological innovations, computers still cannot boast the same recognition abilities as humans. Yes, due to its imitative abilities, AI can identify information patterns that optimize trends related to the task at hand. And unlike humans, AI never gets physically tired, and as long as it receives data, it will continue to work. But human capabilities are more extensive and do not require a constant stream of external data to work, as it happens to be with artificial intelligence.
Image or Object Detection is a computer technology that processes the image and detects objects in it. But if you just need to locate them, for example, find out the number of objects in the picture, you should use Image Detection. It can assist in detecting abnormalities in medical scans such as MRIs and X-rays, even when they are in their earliest stages. It also helps healthcare professionals identify and track patterns in tumors or other anomalies in medical images, leading to more accurate diagnoses and treatment planning.
Image Recognition Software Overview
Since image recognition is increasingly important in daily life, we want to shed some light on the topic. Recent studies demonstrate that AI would be able to overcome diagnostic subjectivity, which is caused by endoscopists who unconsciously take additional characteristics into account other than microstructures and capillaries. Therefore, it could be a useful real-time aid for nonexperts to provide an objective reference during endoscopy procedures. A third convolutional layer with 128 kernels of size 4×4, dropout with a probability of 0.5. A second convolutional layer with 64 kernels of size 5×5 and ReLU activation. Imagga Technologies is a pioneer and a global innovator in the image recognition as a service space.
How is AI used in visual perception?
It is also often referred to as computer vision. Visual-AI enables machines not just to see, but to also understand and derive meaning behind images and video in accordance with the applied algorithm.


CNC Machine Probing
VERICUT is an ideal place to create probing routines because of its in-process model which is not available anywhere else in the CNC manufacturing process.
Using VERICUT’s simulated in-process feature geometry to create a CNC probe program makes on-machine in-process inspection a practical reality.
Additionally, by simulating the use of probing devices on a CNC machining center, you can detect errors that could break the probe… before your program even leaves for the shop!
If you use your CNC for probing operations, this module will help ensure that you will not destroy the probe or crash the machine during tasks such as:
- Locating the stock and/or fixture and adjusting offsets
- Measuring and adjusting for stock variations
- Identifying stock and/or fixture configuration or part number on the machine
- Measuring and adjusting tool or fixture offsets
- Detecting tool failure
- Inspecting critical machined features
Why simulate probing Operations
When using a CNC machine to perform probing operations a number of errors can occur. The probe tip/stem could contact another object while not in probe mode, likely breaking it. The probe body or other machine component could hit something when moving and destroy an expensive inspection probe. Or, an error in the probe cycle logic could cause unexpected machine motion — which could crash the machine, destroy the probe body, or break the probe tip!
With VERICUT simulation, there is no reason your probing operations should ever cause a headache! It notifies you when the probe tip contacts an object while not in ‘probe mode,’ and detects any collisions. It even verifies that the probe cycle’s logic (which alters machine motion based on information gathered during probing) will not cause an error!
How it works…
It’s easy to create a probe tool. Simply specify the spherical “tip” diameter and shank diameter and length. Adding a holder completes the assembly and protects the entire inspection probe! VERICUT detects collisions when anything other than the probe tip contacts another object.
VERICUT then moves the simulated probe device along the specified path. Motion stops when the probe tip contacts an object, or when it reaches the end of the programmed motion. The probe motion results (such as machine axis locations) are applied in the probe sub-program with VERICUT’s standard control emulation, just like on your CNC.
VERICUT simulates all aspects of probe cycle subroutines/programs, including complex logic and Type II formats used to set offsets and make decisions based on probe results. Contact CGTech to learn how VERICUT can simulate your custom probe cycles!


Summary of Project
Utilizing at ATmega328P as well as an RS-485 Transceiver Chip as the brains, I’m building a handheld device to generate valid DMX512 serial signals for testing theater equipment on the fly without the need for setting up and manning a full lighting board. This is the first significant project I am building on perfboard and while to me it looks kind of messy, I’ve actually received a lot of praise for it, surprisingly, it is however incomplete, been too busy to put the remaining connections in and the firmware is definitely not ready yet. Soon!
Type of Project
Build a handheld device with a keypad, LCD, internal batteries and XLR 5 pin male connections that can generate standard DMX512 signals. This device will be able to connect straight up to standard digital theater dimmers such as those made by Electronic Theatre Controls (ETC) for quick diagnostics and testing. The device will accept basic commands mimicked after ETCs Lighting Board commands so that multiple channels may be tested at a time.
The DMX512 protocol is a very simple protocol based around standard asynchronous serial. It is hard-coded to run at 250kbit/s, and has a frame consisting of 1 start bit, 8 data bits, 2 stop bits and no parity. This can be easily emulated by a UART with a sufficient clock speed, which is made only slightly difficult because it operates outside the standard speed range. The other difficult part is the long Mark-After-Break (MAB) required to start the frame. It seems necessary to manually drive the I/O lines to generate this indicator before enabling the UART drive the signal pin. Finally, the device uses RS-485 Differential Signaling, but this is easily handled by a specific transceiver chip, or even some logic gates. Once the frame has been started, 513 bytes follow, the first byte identifying the type of packet, the next 512 bytes correspond to the 512 DMX channels. This takes about 23 ms to accomplish.
This project is powered by an ATmega328P microcontroller, in a 28-pin DIP (Dual in-line package) form factor. I’m using the internal RC oscillator at 2MHz, since that is the lowest frequency that can generate the required data rate of 250kbit/s specified in the DMX512 Protocol. This may change later once I see if there’s a problem with clock drift and dimmers responding. Currently I’m using the controller in a 5V configuration, I may switch to something lower later when I’m running on batteries, but for now this works out just fine.
For a display I’ve dug in to my bin of random parts and come up with a 16×2 Character LCD, standard parallel interface to an HD44780 clone, with a green backlight, black text. Pretty basic. For the breadboard prototype I used a different LCD that was already wired up, but I intend to use that for a different project as its got a cool ice blue backlight and white text, and it fits the other project better. Nothing special here, the LCD is wired up in 4-bit mode, and I dug out some old firmware I’ve written to drive it. It’s also running on five volts and so far I’m just going to have the backlight powered when the device is turned on.
For this project I’m using a MAX481 RS-422/RS-485 Transceiver IC from Maxim Semiconductor. This device takes on transmit input and generates two transmit outputs (1 transmitter) and takes 2 receive inputs and generates 1 receive output (1 receiver). RS-485 is a balanced connection, so you’re sending the data bit, as well as its inverse, across two wires, with a third carrying ground. This scheme allows much longer data runs as a considerably higher voltage drop is acceptable before data integrity is compromised. This chip simply takes my TTL serial signal in, and generates an RS-485 compatible signal on the output, for sending the signal to the dimmers. I did not use the receiver for this project.
For user input I picked up a cheap 4×4 keypad from Futurlec (here, I used the black 4×4 one currently on the bottom) and wired it up to some ribbon cable with a nice IDC female header on the end. This is a basic array of pushbuttons, and it’s interfaced with a simple matrix scan routine. Essentially, the buttons close connections between rows and columns, 4 pins for each. I connect the 4 row pins to four inputs on the microcontroller, which has internal pull-up resistors, so those inputs read as a 1 when not being driven high or low. The 4 column pins are connected to output pins on the controller, which are driven low one at a time, in a timer controlled sequence. Any column not driven low is driven high. As a result at any given moment the wires going to the column pins are set so three are driven high, ones pulled low. When a button is pressed and the corresponding column pin is driven low, the row output, now electrically connected to the column input, is pulled low. An interrupt is called on the controller by the falling edge on the input. By checking the currently active column (which stops cycling as long as a button is held) against the row that is being held low, the key can be determined.
The firmware has a few specific jobs to accomplish:
- Scan the keypad for button presses using the matrix scanning routine, recognize when a button is pressed, this must be prioritized.
- When button is pressed, it needs to handle it as soon as the processor is available.
- Initialize and control the character LCD, it needs to handle this as soon as the processor is available.
- Generate the Mark-After-Break and DMX packet, this is prioritized but lower than the keypad scan, DMX512 has a wide tolerance for latency.
With these goals in mind, the firmware uses a combination of interrupts and polled systems to make sure the keypad scan and data sending is done when it needs to be. The keypad scan routine uses a timer interrupt to rotate the column being driven low among the four using a simple state machine. On the other end an interrupt detects if any of the row signals experience a falling edge. That interrupt uses a look-up table to push a known character on to a buffer, and holds the scan routine until the button is released.
The LCD code is a simple group of functions based around sprintf() that is used to take format strings and variables and create null-terminated strings. Once these strings are created, they are looped through and each character is transferred to the LCD one at a time using the 4 bit data bus and the 2 control lines. These functions also include a function to initialize the display. This posed some problems because initializing the display from a cold start (defaults to 8 bit mode) after power was removed is different then initializing it from a warm start (already set to 4 bit mode) after only the microcontroller was reset/unpowered. I got around this by blasting the display with init commands to forcibly reset the display to 8 bit mode, before running a standard initialization for 8 bit to 4 bit mode. This has no effect on a display in 8 bit mode, and sets a display in 4 bit mode to 8 bit mode. This guarantees a known starting point and allows the initialization to work without having to power-cycle the LCD. This wasn’t really important, but it made debugging faster because I could just re-flash the chip and let it reset.
The code to generate the DMX packet is done, its simply based around the UART transmit complete interrupt. When the Mark-After-Break is generated, a byte will be sent after, from then on, the interrupt will then load the next channel in to the transmit register until the first 511 channels have been sent, at which point a flag will be cleared to disable the interrupt, and the last channel loaded in to the transmit register. The main loop will poll status flags to decide if and when to send the next packet, initiated by the Mark-After-Break function that will, as mentioned earlier, set off the self-running UART.
Hardware – Design
I drew up a formal schematic for this, but I seem to have lost the file, I whipped this up real fast, it’s a little messy, but it’ll do for now. I’ll do a better one with busses and such later on.
Hardware – Breadboard Prototype
Once I had the basic design down (see above) I soldered up the ribbon wires for the peripherals and grabbed a breadboard. Here you just see the LCD (currently disconnected, but its connections are under it), the Keypad and the AVR. I’m not using the level converter yet in this design, I trust it works so I more concerned with serial output. Also, this is where I debugged the matrix scan routine. I used this platform to get all the bits and pieces to talk together, I’m using a USB Serial breakout board called the BBUSB, from Smiley Micros, just to provide power. The AVR-ISP programmer I’m using isn’t connected to this board (used it for something else before I took the photo) but it was connected in the same manner as the display and keypad.
Hardware – Perfboard Prototype
With all the peripherals working, I decided to go ahead and start building the first semi-permanent prototype. It is not yet complete due to a very busy schedule, soon though! Right now it has the sockets for the microcontroller, and the level converter IC, as well as the 2×8 header for the LCD. The connections are in place for power and communication, as well as a current limiting resistor for the LCD backlight, and a 120 ohm load resistor for the driver IC, recommended in it’s datasheet.
Relevant Blog Posts
I really dislike Perfboard – 2/2/2010
Another page up! – 2/10/2010


The Problem with Quantum Computers (and What Google’s Doing About It)
Picture yourself in a supermarket. On your shopping trip, you walk along aisles to search for items, taking the ones you desire off shelves, and placing them in your basket. Once you have everything you need, you head for the checkout, where, ordinarily, somebody scans all your items’ barcodes. The supermarket, after all, has no idea what you took as you went round, but needs to know so they can charge you. Of course, you wouldn’t mind walking out without paying; you love free food.
Unfortunately, this supermarket is experiencing a technical problem. Every time a barcode is scanned, the item in question spontaneously combusts, leaving you annoyed and the cashier baffled. This is clearly a problem — the supermarket has no way to preserve your shopping trip while also getting a receipt for it. Without manually rummaging through your bags, they’re stuck for a solution.
This is the problem of error correction in quantum computing. Physicists and computer scientists are unable to directly gather information from a quantum computation without disturbing the data, just in the same way that the supermarket was unable to scan barcodes without destroying the means of charging you. However, unlike the supermarket, quantum computing has researchers working to ensure data measurement can be sustainable.
Quantum computing leverages two concepts from physics: superposition and entanglement. In a classical computer (what you’re reading this on), the information it uses is represented as a series of singular 1s and 0s. In a quantum computer, the properties of quantum particles (like photons or electrons) that represent information exist in a state of superposition; that is, the state of being a 0, a 1, or anything in between, simultaneously. And, because these quantum bits (qubits) are so fragile, any observation or influence from the environment can cause their state to collapse into a 0 or a 1, destroying the data they hold.
Scientists at Google recently published a paper in which the second concept, entanglement, is used to solve this problem. Entanglement refers to a relationship between any two quantum particles, that Einstein once called “spooky action at a distance”, where anything that happens to the state of one quantum particle also happens to an entangled twin, no matter where in the universe they are.
With their quantum computer, Google physicists divided qubits into two types: ones to hold data (data qubits) and ones entangled with data qubits to signal errors (measure qubits). These were then grouped into ‘logical qubits’, that encode a single superposition, such that an error detected from a measure qubit might not affect the integrity of the logical qubit’s information. Two different methods for organising qubits, called codes, were used: one where data and measure qubits were alternated in a one-dimensional, linear order; and another where they were spread in a two-dimensional lattice to pick up more error types.
For the linear code, they discovered that the number of errors decreased exponentially as more qubits were considered along the one-dimensional chain; the first finding of its kind in the literature. From 5 to 21 qubits, logical errors decreased by a factor of 100, with issues arising at a probability of 6.7
10–5 with 21 qubits. However, there was an issue with this code’s layout: qubits that were distant one-dimensionally but close together as the chain snaked around the two-dimensional surface sometimes entangled, damaging results.
For the lattice code, errors crept up more frequently, with 27% of trials being removed due to error detection. That said, this code held more promise for future research: the fact it can detect more types of errors makes it readier for expansion into more complex quantum computers.
Directions for future research are clear: add more qubits, do more calculations, and correct more errors. As with everything in quantum computing, however, this is easier said than done. The more qubits present, the more the environment may disturb computations. The more calculations done, the more the chance an observation will affect a qubit’s state. The more errors corrected, the longer a calculation takes. Still, with these landmark findings, Google have taken the field one step closer to more practicable quantum computers (or, more reliable supermarket technology).