Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216349
P. Parthiban
Automation and Internet-of-Things (IoT) open doors to achieve increased productivity and efficiency. Ultra-High Frequency (UHF) Radio-Frequency Identification (RFID) is a type of Auto-identification technique that identifies, locates, authenticates, and engages with other IoT devices to efficiently perform one or more tasks. The concept of the digital twin is enhanced by UHF RFID for the fourth-generation industrial revolution, Industry 4.0. UHF RFID antennas are one of the key endpoint components that are deployed throughout factories, facilitating automation. Antennas predominantly used in industrial environment requires enormous durability to handle vibration, shock, impact, and thermal shocks without trading-off the radiofrequency (RF) performance. This article proposes a novel durable dual-virtual patch antenna design and manufacturing technique for industrial UHF RFID application. The durability of the antenna is offered by the non-conventional RF substrate, galvanized steel backplate and the polyurethane resin-filled plastic radome. The antenna is designed to be assembled by full and semi-robotic process automation.
{"title":"IoT Antennas for Industry 4.0 – Design and Manufacturing with an Example","authors":"P. Parthiban","doi":"10.1109/IEMTRONICS51293.2020.9216349","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216349","url":null,"abstract":"Automation and Internet-of-Things (IoT) open doors to achieve increased productivity and efficiency. Ultra-High Frequency (UHF) Radio-Frequency Identification (RFID) is a type of Auto-identification technique that identifies, locates, authenticates, and engages with other IoT devices to efficiently perform one or more tasks. The concept of the digital twin is enhanced by UHF RFID for the fourth-generation industrial revolution, Industry 4.0. UHF RFID antennas are one of the key endpoint components that are deployed throughout factories, facilitating automation. Antennas predominantly used in industrial environment requires enormous durability to handle vibration, shock, impact, and thermal shocks without trading-off the radiofrequency (RF) performance. This article proposes a novel durable dual-virtual patch antenna design and manufacturing technique for industrial UHF RFID application. The durability of the antenna is offered by the non-conventional RF substrate, galvanized steel backplate and the polyurethane resin-filled plastic radome. The antenna is designed to be assembled by full and semi-robotic process automation.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122582514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216434
Prasham Shah, M. El-Sharkawy
In Deep Learning, Convolutional Neural Networks (CNNs) are widely used for Computer Vision applications. With the advent of new technology, there is an inevitable necessity for CNNs to be computationally less expensive. It has become a key factor in determining its competence. CNN models must be compact in size and work efficiently when deployed on embedded systems. In order to achieve this goal, researchers have invented new algorithms which make CNNs lightweight yet accurate enough to be used for applications like object detection. In this paper, we have tried to do the same by modifying an architecture to make it compact with a fair trade-off between model size and accuracy. A new architecture, R-MnasNet (Reduced MnasNet), has been introduced which has a model size of 3 MB. It is trained on CIFAR-10 [4] and has a validation accuracy of 91.13%. Whereas the baseline architecture, MnasNet [1], has a model size of 12.7 MB with a validation accuracy of 80.8% when trained with CIFAR-10 dataset. R-MnasNet can be used on resource-constrained devices. It can be deployed on embedded systems for vision applications.
{"title":"R-MnasNet: Reduced MnasNet for Computer Vision","authors":"Prasham Shah, M. El-Sharkawy","doi":"10.1109/IEMTRONICS51293.2020.9216434","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216434","url":null,"abstract":"In Deep Learning, Convolutional Neural Networks (CNNs) are widely used for Computer Vision applications. With the advent of new technology, there is an inevitable necessity for CNNs to be computationally less expensive. It has become a key factor in determining its competence. CNN models must be compact in size and work efficiently when deployed on embedded systems. In order to achieve this goal, researchers have invented new algorithms which make CNNs lightweight yet accurate enough to be used for applications like object detection. In this paper, we have tried to do the same by modifying an architecture to make it compact with a fair trade-off between model size and accuracy. A new architecture, R-MnasNet (Reduced MnasNet), has been introduced which has a model size of 3 MB. It is trained on CIFAR-10 [4] and has a validation accuracy of 91.13%. Whereas the baseline architecture, MnasNet [1], has a model size of 12.7 MB with a validation accuracy of 80.8% when trained with CIFAR-10 dataset. R-MnasNet can be used on resource-constrained devices. It can be deployed on embedded systems for vision applications.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121295289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216433
Sutanu Ghosh, Payel Midya, R. Gayen, K. Patra, M. Gangopadhyaya
This paper explores the performance analysis in terms of bit error rate (BER) for different modulations. This estimation is done with the help of various size of control region in advanced cellular communication system. Entire comparative analysis of this paper is elucidated on the basis of different mobility based scenario for downlink (DL) transmission. The simulation is performed using supportive bandwidth of 10 MHz for 2x2 and 4x4 multiple-input-multiple-output (MIMO) configurations. From output results analysis, it is shown that lower mobility environment and lower order modulation has less error to deliver better quality of signal.
{"title":"On Bit Error Rate Analysis In Various Mobility Based Advanced Cellular Communication System","authors":"Sutanu Ghosh, Payel Midya, R. Gayen, K. Patra, M. Gangopadhyaya","doi":"10.1109/IEMTRONICS51293.2020.9216433","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216433","url":null,"abstract":"This paper explores the performance analysis in terms of bit error rate (BER) for different modulations. This estimation is done with the help of various size of control region in advanced cellular communication system. Entire comparative analysis of this paper is elucidated on the basis of different mobility based scenario for downlink (DL) transmission. The simulation is performed using supportive bandwidth of 10 MHz for 2x2 and 4x4 multiple-input-multiple-output (MIMO) configurations. From output results analysis, it is shown that lower mobility environment and lower order modulation has less error to deliver better quality of signal.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116418032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216436
Amelia L. Gurley, James Tanch, David C. Portelli, C. Priebe, Jeffrey A. Berube, Adam Dieffenbach, Renee Harris, Maliha Jalal, Stephen Sayles, Allan J. Smulling, G. Jay, L. Kobayashi
The widespread use of clinical information systems (CIS) creates ample opportunities for CIS-associated operational disruptions and delays that can negatively impact patient care. A clinical quality improvement (QI) project studied the CIS infrastructure at an academic regional referral emergency department (ED) at baseline and after implementation of targeted sustainment interventions. An ED 5S workgroup collaborated with ED clinical leaders and institutional information services (I.S.) teams to conduct comprehensive CIS inventory and function testing in 2016; an end-user survey on CIS functionality and impact were administered. Findings were analyzed to determine common points of failure, and concerted interventions were implemented during 2016-2018: development of a structured ED CIS inventory document with device mapping and specification of clinical functions; prioritized repair / replacement of non-functional / missing devices; institution of scheduled ED "Tech Rounds"; and installation of a self-service work-ticket Web portal for repair requests. A follow-up reassessment and survey in 2018 revealed mixed intervention results and highlighted infrastructure elements superseded by advances in mobile technology. Overall, a multi-disciplinary effort assessed an ED CIS infrastructure and its functionality at baseline and over time for changes associated with targeted interventions. Studied metrics revealed some successes and ongoing challenges.
{"title":"Baseline Assessment, Intervention, and Interval Reassessment of Clinical Information Systems Infrastructure in an Academic Regional Referral Emergency Department","authors":"Amelia L. Gurley, James Tanch, David C. Portelli, C. Priebe, Jeffrey A. Berube, Adam Dieffenbach, Renee Harris, Maliha Jalal, Stephen Sayles, Allan J. Smulling, G. Jay, L. Kobayashi","doi":"10.1109/IEMTRONICS51293.2020.9216436","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216436","url":null,"abstract":"The widespread use of clinical information systems (CIS) creates ample opportunities for CIS-associated operational disruptions and delays that can negatively impact patient care. A clinical quality improvement (QI) project studied the CIS infrastructure at an academic regional referral emergency department (ED) at baseline and after implementation of targeted sustainment interventions. An ED 5S workgroup collaborated with ED clinical leaders and institutional information services (I.S.) teams to conduct comprehensive CIS inventory and function testing in 2016; an end-user survey on CIS functionality and impact were administered. Findings were analyzed to determine common points of failure, and concerted interventions were implemented during 2016-2018: development of a structured ED CIS inventory document with device mapping and specification of clinical functions; prioritized repair / replacement of non-functional / missing devices; institution of scheduled ED \"Tech Rounds\"; and installation of a self-service work-ticket Web portal for repair requests. A follow-up reassessment and survey in 2018 revealed mixed intervention results and highlighted infrastructure elements superseded by advances in mobile technology. Overall, a multi-disciplinary effort assessed an ED CIS infrastructure and its functionality at baseline and over time for changes associated with targeted interventions. Studied metrics revealed some successes and ongoing challenges.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125323858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216366
Irvin Steve Cardenas, Pradeep Kumar Paladugula, Jong-Hoon Kim
We present an open-source data lake architecture implemented to store and process data from robotic systems at large scale. In particular, we leverage our architecture for the use case of processing data from a network of humanoid telepresence robotic avatars that are controlled by human operators wearing immersive telepresence control suits. Our architecture leverages well-established open-source technologies and integrates into existing robot frameworks and middleware such as Robot Operating System (ROS) and Data Distribution Service (DDS).
{"title":"Large Scale Distributed Data Processing for a Network of Humanoid Telepresence Robots","authors":"Irvin Steve Cardenas, Pradeep Kumar Paladugula, Jong-Hoon Kim","doi":"10.1109/IEMTRONICS51293.2020.9216366","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216366","url":null,"abstract":"We present an open-source data lake architecture implemented to store and process data from robotic systems at large scale. In particular, we leverage our architecture for the use case of processing data from a network of humanoid telepresence robotic avatars that are controlled by human operators wearing immersive telepresence control suits. Our architecture leverages well-established open-source technologies and integrates into existing robot frameworks and middleware such as Robot Operating System (ROS) and Data Distribution Service (DDS).","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126968996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216397
Daniel Wright, Russell Skaggs-Schellenberg, Shahab Tayeb
The Internet of Things (IoT) world is developing rapidly, yet seamless integration into our daily lives is lacking. Vendor-specific products tend to restrict customers to their software applications, due to their inherent steep learning curve. We develop the Mixed Reality Control Panel (MRCP) system to address this gap by offering a cross-platform, open-source, vendor-neutral, mixed reality software application capable of interacting with headless, IoT devices. The MRCP application, Smart Parking Meter, and Smart Lock are developed and tested against existing solutions. The duration to perform each action is compared as well as the benefits of additional smart features. Having a mixed reality interface allows for a agnostic and quick interaction with the IoT devices. Early development decisions on cross-platform and vendor-neutral enable future scalability. As a result, both devices are deemed viable solutions for future smart city integrations. Further development will take place for the MRCP system. While others can benefit from the project by incorporating mixed reality as a solution for Smart environments to bridge the gap between IoT and our daily lives.
{"title":"Networked Mixed Reality Framework for the Internet of Things","authors":"Daniel Wright, Russell Skaggs-Schellenberg, Shahab Tayeb","doi":"10.1109/IEMTRONICS51293.2020.9216397","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216397","url":null,"abstract":"The Internet of Things (IoT) world is developing rapidly, yet seamless integration into our daily lives is lacking. Vendor-specific products tend to restrict customers to their software applications, due to their inherent steep learning curve. We develop the Mixed Reality Control Panel (MRCP) system to address this gap by offering a cross-platform, open-source, vendor-neutral, mixed reality software application capable of interacting with headless, IoT devices. The MRCP application, Smart Parking Meter, and Smart Lock are developed and tested against existing solutions. The duration to perform each action is compared as well as the benefits of additional smart features. Having a mixed reality interface allows for a agnostic and quick interaction with the IoT devices. Early development decisions on cross-platform and vendor-neutral enable future scalability. As a result, both devices are deemed viable solutions for future smart city integrations. Further development will take place for the MRCP system. While others can benefit from the project by incorporating mixed reality as a solution for Smart environments to bridge the gap between IoT and our daily lives.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125866266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216383
Richard Kyung, Ethan Park
When closely examining data of technology users, there is an apparent and interesting shift in two specific groups—the elderly and disabled. This paper investigates the potential reasons for the data trends found in these two groups. Technology greatly impacts people with disabilities and how they navigate the world. Technological developments increasingly work to address the isolation that people with disabilities experience, and how they are often unable to engage with their communities. This research paper outlines the way technology has shaped social communication, information distribution, and day-to-day living among people with disabilities.The internet has transformed social communication and interaction. Previously, socially isolated people with disabilities have gained exposure to social environments through the internet and social media. The broad range of information available on the internet increases access to resources such as government services, health services, and social support. Assistive devices help people overcome their motor, sensory, or cognitive difficulties that may hinder them from performing daily functions. Although technology has proven to be effectively integrated in the lives of people with disabilities, many individuals with disabilities lack the access to technology such as a computer with internet connection. This paper examines how technology has benefited communication, information distribution, and day-to-day living in the disabled and aging community.
{"title":"Study on How Seniors and People with Disabilities are Adapting to New Technology","authors":"Richard Kyung, Ethan Park","doi":"10.1109/IEMTRONICS51293.2020.9216383","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216383","url":null,"abstract":"When closely examining data of technology users, there is an apparent and interesting shift in two specific groups—the elderly and disabled. This paper investigates the potential reasons for the data trends found in these two groups. Technology greatly impacts people with disabilities and how they navigate the world. Technological developments increasingly work to address the isolation that people with disabilities experience, and how they are often unable to engage with their communities. This research paper outlines the way technology has shaped social communication, information distribution, and day-to-day living among people with disabilities.The internet has transformed social communication and interaction. Previously, socially isolated people with disabilities have gained exposure to social environments through the internet and social media. The broad range of information available on the internet increases access to resources such as government services, health services, and social support. Assistive devices help people overcome their motor, sensory, or cognitive difficulties that may hinder them from performing daily functions. Although technology has proven to be effectively integrated in the lives of people with disabilities, many individuals with disabilities lack the access to technology such as a computer with internet connection. This paper examines how technology has benefited communication, information distribution, and day-to-day living in the disabled and aging community.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"593 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123426224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216365
S. Hajra, Shishir Gopinath, Careesa C. Liu, G. Pawlowski, S. Fickling, Xiaowei Song, R. D'Arcy
Background: Brain function assessments based on event-related potentials (ERPs) derived from electroencephalography (EEG) are increasingly being conducted in realistic out-of-the-laboratory settings for clinical and non-clinical uses. For rapid testing and practical limitations, such applications require the use of low-density electrode arrays. A major impediment to their use in these applications is the lack of denoising techniques capable of removing artefactual contamination and isolating the ERPs features of interest within low-density arrays. Methods: A novel denoising technique combining empirical mode decomposition (EMD) with template matching procedure is developed and applied to individual-channel data, and the results of this new approach are compared to the results of a conventional (independent component analysis) denoising approach. Both whole-epoch morphological comparisons and specific ERP feature amplitude comparisons were undertaken at the group and individual level for a variety of ERPs indexing sensory (N100), attention (P300) and language processing (N400) using data from 31 healthy adults. Results: The new denoising technique successfully enables the capture of ERPs ranging from low-level sensation to attention to language processing (all p<0.05). Intra-class correlation analysis reveals high degree of similarity in the time series waveforms derived from the new and the conventional denoising approaches for all ERPs (highest r=0.89, all p<0.001). Analysis of specific ERP features of interest reveals no significant differences between the ERP amplitudes of the waveforms generated using the two techniques, and Pearson correlation suggests a high degree of similarity at the individual level (0.88 for N100, 0.78 for P300, and 0.80 for N400, all p<0.05). Conclusion: The new denoising technique is capable of operating on individual-channel EEG data, and produces results that are similar to those produced by conventional denoising techniques that use data from large whole-head electrode arrays. This new approach may thus enable more widespread use of ERP techniques in real world settings with low-density electrode arrays.
{"title":"Enabling event-related potential assessments using low-density electrode arrays: A new technique for denoising individual channel EEG data","authors":"S. Hajra, Shishir Gopinath, Careesa C. Liu, G. Pawlowski, S. Fickling, Xiaowei Song, R. D'Arcy","doi":"10.1109/IEMTRONICS51293.2020.9216365","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216365","url":null,"abstract":"Background: Brain function assessments based on event-related potentials (ERPs) derived from electroencephalography (EEG) are increasingly being conducted in realistic out-of-the-laboratory settings for clinical and non-clinical uses. For rapid testing and practical limitations, such applications require the use of low-density electrode arrays. A major impediment to their use in these applications is the lack of denoising techniques capable of removing artefactual contamination and isolating the ERPs features of interest within low-density arrays. Methods: A novel denoising technique combining empirical mode decomposition (EMD) with template matching procedure is developed and applied to individual-channel data, and the results of this new approach are compared to the results of a conventional (independent component analysis) denoising approach. Both whole-epoch morphological comparisons and specific ERP feature amplitude comparisons were undertaken at the group and individual level for a variety of ERPs indexing sensory (N100), attention (P300) and language processing (N400) using data from 31 healthy adults. Results: The new denoising technique successfully enables the capture of ERPs ranging from low-level sensation to attention to language processing (all p<0.05). Intra-class correlation analysis reveals high degree of similarity in the time series waveforms derived from the new and the conventional denoising approaches for all ERPs (highest r=0.89, all p<0.001). Analysis of specific ERP features of interest reveals no significant differences between the ERP amplitudes of the waveforms generated using the two techniques, and Pearson correlation suggests a high degree of similarity at the individual level (0.88 for N100, 0.78 for P300, and 0.80 for N400, all p<0.05). Conclusion: The new denoising technique is capable of operating on individual-channel EEG data, and produces results that are similar to those produced by conventional denoising techniques that use data from large whole-head electrode arrays. This new approach may thus enable more widespread use of ERP techniques in real world settings with low-density electrode arrays.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122667251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216430
Dafer Alali, Surah. Al Dakhl, M. Zohdy, M. Mahmoud
A smart grid is an intellectual electricity grid that enhances the production, distribution and consumption of electricity across the insertion of Information and Communication Technologies on the electricity grid. In quintessence, smart grids bring profound modifications in the information systems that drive them, new data streams coming from the electricity grid, new participants such as regionalized producers of renewable energies, new uses such as electric vehicles and connected homes and new communicating equipment such as smart meters, sensors and remote control points. Altogether, this will result in an overflow of information, which the energy corporations will have to handle. Big data technologies propose proper solutions for utilities, although the decision regarding which big data technology to deploy is critical. In this paper, we present an overview of data management for smart grids, summarize the enhanced value of big data technologies for this type of data, and discuss the technical obligations, tools and key steps to employ big data solutions in the smart grid framework.
{"title":"Big Data Management Obligation in Smart Grid Technologies, the Future of Tomorrow","authors":"Dafer Alali, Surah. Al Dakhl, M. Zohdy, M. Mahmoud","doi":"10.1109/IEMTRONICS51293.2020.9216430","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216430","url":null,"abstract":"A smart grid is an intellectual electricity grid that enhances the production, distribution and consumption of electricity across the insertion of Information and Communication Technologies on the electricity grid. In quintessence, smart grids bring profound modifications in the information systems that drive them, new data streams coming from the electricity grid, new participants such as regionalized producers of renewable energies, new uses such as electric vehicles and connected homes and new communicating equipment such as smart meters, sensors and remote control points. Altogether, this will result in an overflow of information, which the energy corporations will have to handle. Big data technologies propose proper solutions for utilities, although the decision regarding which big data technology to deploy is critical. In this paper, we present an overview of data management for smart grids, summarize the enhanced value of big data technologies for this type of data, and discuss the technical obligations, tools and key steps to employ big data solutions in the smart grid framework.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123205235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216331
Md. Majedur Rahman, Md. Abu Nayeem, Saqlain Nahid, Syed Raqueed Bin Alvee, Raja Rashidul Hasan, M. Rahman
This paper proposes an on-body humidity sensing antenna with polyimide working in the 5G network. The chosen operating frequency is 38 GHz which also lies in the mm-wave band. This paper discusses two antennas. The first antenna is designed using polyimide film and the other using polyimide film as a superstate with Rogers RT 5880 as the main substrate. The first antenna exhibits an intensive radiation absorption of 38.7 W/kg for every 10g of tissue, which is mitigated by the design of the second antenna. Therefore, the second antenna is analyzed for on-body humidity sensing. Due to polyimide’s high sensitivity towards humidity, any change in humidity is detectable through the changes in the dielectric constant of polyimide and changes in the resonant frequency.
{"title":"On-Body Humidity Sensing Antenna with Polyimide for BAN Applications over 5G Networks","authors":"Md. Majedur Rahman, Md. Abu Nayeem, Saqlain Nahid, Syed Raqueed Bin Alvee, Raja Rashidul Hasan, M. Rahman","doi":"10.1109/IEMTRONICS51293.2020.9216331","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216331","url":null,"abstract":"This paper proposes an on-body humidity sensing antenna with polyimide working in the 5G network. The chosen operating frequency is 38 GHz which also lies in the mm-wave band. This paper discusses two antennas. The first antenna is designed using polyimide film and the other using polyimide film as a superstate with Rogers RT 5880 as the main substrate. The first antenna exhibits an intensive radiation absorption of 38.7 W/kg for every 10g of tissue, which is mitigated by the design of the second antenna. Therefore, the second antenna is analyzed for on-body humidity sensing. Due to polyimide’s high sensitivity towards humidity, any change in humidity is detectable through the changes in the dielectric constant of polyimide and changes in the resonant frequency.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133972902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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