Pub Date : 2019-10-01DOI: 10.1109/GCCE46687.2019.9015222
T. Ustun, S. Hussain
As the number of electric vehicles and PV panels per household increases, the need for a coordination between these active components becomes more imminent. Home energy management systems (HEMS) have been proposed to increase efficiency, renewable energy capture and reduce costs for the owners. However, renewable energy is intermittent and time-dependent. To increase the capture of this source, an integrated control with EVs is required to store excessive solar energy. Furthermore, coordination with the load profile enables storage for use at a later time, or selling the excess energy to the grid. This requires the use of a Home Energy Management System (HEMS) that can coordinate all these components with the grid. Operation of these controllers need to be validated before actual deployment. In this paper, a standardized communication modeling based on IEC 61850 is developed for a HEMS controller. Using commercial software, different terminals are set up as Intelligent Electronic Devices (IEDs) and the operation of HEMS is emulated with proper message exchanges. Such validation is crucial to project's success before on-site deployment.
{"title":"Implementation and Performance Evaluation of IEC 61850 based Home Energy Management System","authors":"T. Ustun, S. Hussain","doi":"10.1109/GCCE46687.2019.9015222","DOIUrl":"https://doi.org/10.1109/GCCE46687.2019.9015222","url":null,"abstract":"As the number of electric vehicles and PV panels per household increases, the need for a coordination between these active components becomes more imminent. Home energy management systems (HEMS) have been proposed to increase efficiency, renewable energy capture and reduce costs for the owners. However, renewable energy is intermittent and time-dependent. To increase the capture of this source, an integrated control with EVs is required to store excessive solar energy. Furthermore, coordination with the load profile enables storage for use at a later time, or selling the excess energy to the grid. This requires the use of a Home Energy Management System (HEMS) that can coordinate all these components with the grid. Operation of these controllers need to be validated before actual deployment. In this paper, a standardized communication modeling based on IEC 61850 is developed for a HEMS controller. Using commercial software, different terminals are set up as Intelligent Electronic Devices (IEDs) and the operation of HEMS is emulated with proper message exchanges. Such validation is crucial to project's success before on-site deployment.","PeriodicalId":303502,"journal":{"name":"2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115522710","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 : 2019-10-01DOI: 10.1109/GCCE46687.2019.9015296
T. Morimoto, Ikuhisa Mitsugami
This paper proposes a motion capture system consisting of multiple Kinects. For obtaining correct body poses, we propose a method that generates pseudo-synchronous pose data from asynchronous Kinects and integrates the poses eliminating wrongly estimated data. Experimental results confirm that the method works effectively for capturing a moving person, which has been difficult to capture using asynchronous Kinects.
{"title":"Motion Capture System by Spatio-Temporal Integration of Multiple Kinects","authors":"T. Morimoto, Ikuhisa Mitsugami","doi":"10.1109/GCCE46687.2019.9015296","DOIUrl":"https://doi.org/10.1109/GCCE46687.2019.9015296","url":null,"abstract":"This paper proposes a motion capture system consisting of multiple Kinects. For obtaining correct body poses, we propose a method that generates pseudo-synchronous pose data from asynchronous Kinects and integrates the poses eliminating wrongly estimated data. Experimental results confirm that the method works effectively for capturing a moving person, which has been difficult to capture using asynchronous Kinects.","PeriodicalId":303502,"journal":{"name":"2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122563711","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}
Transmission of multimedia contents with block compressed sensing (BCS) would be of great value for practical applications. Compressed data are vulnerable to channel errors during transmission, and effective means to protect them would be helpful to the decoding procedures. We choose multiple description coding (MDC) for error control in advance, and apply the least absolute shrinkage and selection operator (LASSO) for training the received data to alleviate the effect caused by channel errors. We also consider the inherent characteristics between color planes of original image to enhance the reconstruction. Simulations have depicted the advantages with these error control schemes for BCS.
{"title":"Error Control and Regression for Block Compressed Sensing of Color Images","authors":"Hsiang-Cheh Huang, Yueh-Hong Chen, Feng-Cheng Chang, Po-Liang Chen","doi":"10.1109/GCCE46687.2019.9015473","DOIUrl":"https://doi.org/10.1109/GCCE46687.2019.9015473","url":null,"abstract":"Transmission of multimedia contents with block compressed sensing (BCS) would be of great value for practical applications. Compressed data are vulnerable to channel errors during transmission, and effective means to protect them would be helpful to the decoding procedures. We choose multiple description coding (MDC) for error control in advance, and apply the least absolute shrinkage and selection operator (LASSO) for training the received data to alleviate the effect caused by channel errors. We also consider the inherent characteristics between color planes of original image to enhance the reconstruction. Simulations have depicted the advantages with these error control schemes for BCS.","PeriodicalId":303502,"journal":{"name":"2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122924063","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 : 2019-10-01DOI: 10.1109/GCCE46687.2019.9015519
Kaori Uehara, Hiromichi Ikeda, Akashi Satoh
Liquid fertilizer management system for a compact hydroponic planter was developed. An EC (Electro Conductivity) sensor that calculates nutrient concentration value with a high accuracy with an error rate of 8.4 % by introducing an op-amp oscillator and an EC curved surface generated by the weighted least-squares method. A fertilizer addition device feeds stock solution to the planter by controlling air pressure of a pump to adjust the EC to a target value. Precise control of 1.7-% variance was achieved under various conditions. In total, our system can manage the EC with an error rate of 10 %.
{"title":"Fertilizer Management System for A Compact Hydroponic Planter","authors":"Kaori Uehara, Hiromichi Ikeda, Akashi Satoh","doi":"10.1109/GCCE46687.2019.9015519","DOIUrl":"https://doi.org/10.1109/GCCE46687.2019.9015519","url":null,"abstract":"Liquid fertilizer management system for a compact hydroponic planter was developed. An EC (Electro Conductivity) sensor that calculates nutrient concentration value with a high accuracy with an error rate of 8.4 % by introducing an op-amp oscillator and an EC curved surface generated by the weighted least-squares method. A fertilizer addition device feeds stock solution to the planter by controlling air pressure of a pump to adjust the EC to a target value. Precise control of 1.7-% variance was achieved under various conditions. In total, our system can manage the EC with an error rate of 10 %.","PeriodicalId":303502,"journal":{"name":"2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128508369","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 : 2019-10-01DOI: 10.1109/GCCE46687.2019.9015347
Mitsuaki Saito, K. Fujinami
On-body device position-awareness plays an important role relative to providing smartphone-based services with high levels of usability and quality. Existing on-body device localization methods deal with a fixed number of positions. In contrast, we propose a framework to discover new positions and add them as recognition targets during use. A preliminary experiment into new position detection is presented in this paper.
{"title":"Evaluation of Novelty Detection Methods in On-Body Smartphone Localization Problem","authors":"Mitsuaki Saito, K. Fujinami","doi":"10.1109/GCCE46687.2019.9015347","DOIUrl":"https://doi.org/10.1109/GCCE46687.2019.9015347","url":null,"abstract":"On-body device position-awareness plays an important role relative to providing smartphone-based services with high levels of usability and quality. Existing on-body device localization methods deal with a fixed number of positions. In contrast, we propose a framework to discover new positions and add them as recognition targets during use. A preliminary experiment into new position detection is presented in this paper.","PeriodicalId":303502,"journal":{"name":"2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128512430","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 : 2019-10-01DOI: 10.1109/GCCE46687.2019.9015363
H. Fuketa, Y. Morita
This paper presents an ultra-low power human motion detection sensor using electrostatic induction. A dedicated chip that enables human motion detection with ultralow power is newly designed and the measurement result of the fabricated chip shows that the chip consumes only 30 nW for detecting human motion, which is smaller than 1/100 of the power dissipation of the conventional human proximity sensors. As one of applications of the proposed ultra-low power motion detection sensor, we finally demonstrate a contactless remote light switch, which is battery-operated yet lasts long without battery replacement.
{"title":"Ultra-low Power Human Motion Detection Sensor using Electrostatic Induction and Demonstration of Contactless Remote Light Switch","authors":"H. Fuketa, Y. Morita","doi":"10.1109/GCCE46687.2019.9015363","DOIUrl":"https://doi.org/10.1109/GCCE46687.2019.9015363","url":null,"abstract":"This paper presents an ultra-low power human motion detection sensor using electrostatic induction. A dedicated chip that enables human motion detection with ultralow power is newly designed and the measurement result of the fabricated chip shows that the chip consumes only 30 nW for detecting human motion, which is smaller than 1/100 of the power dissipation of the conventional human proximity sensors. As one of applications of the proposed ultra-low power motion detection sensor, we finally demonstrate a contactless remote light switch, which is battery-operated yet lasts long without battery replacement.","PeriodicalId":303502,"journal":{"name":"2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124683394","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 : 2019-10-01DOI: 10.1109/GCCE46687.2019.9015514
Hung-Ju Lai, Yao-Tung Tsou
Machine/deep learning is one of key technologies to enhance the effectiveness of applications (e.g., vision and pattern recognition) for the Internet of Things (IoTs). Researchers strive to design an efficient structure using machine/deep learning in software-aided methods to accelerate computation. However, software-aided methods would be restricted in hardware resources such as capability of memory access. Memory, such as Static Random Access Memory (SRAM) and Spin-Transfer Torque Magnetic Random Access Memory (STT-MRAM), is critical component to effect the speed of data computation or access on applications. In this paper, we propose a hardware-aided model, STT-MRAM co-design deep learning model, to speed up such as vision recognition for the domain of IoTs, in which a STT-MRAM control circuit is designed to efficiently access data from memories and a software-based CPU is applied in a FPGA to process vision recognition. Notably, STT-MRAM is an emerging memory in lower power consumption, higher intelligence and non-volatile, which are critical for the design of IoT platform.
{"title":"STT-MRAM Co-design Deep Learning Model for IoT Applications","authors":"Hung-Ju Lai, Yao-Tung Tsou","doi":"10.1109/GCCE46687.2019.9015514","DOIUrl":"https://doi.org/10.1109/GCCE46687.2019.9015514","url":null,"abstract":"Machine/deep learning is one of key technologies to enhance the effectiveness of applications (e.g., vision and pattern recognition) for the Internet of Things (IoTs). Researchers strive to design an efficient structure using machine/deep learning in software-aided methods to accelerate computation. However, software-aided methods would be restricted in hardware resources such as capability of memory access. Memory, such as Static Random Access Memory (SRAM) and Spin-Transfer Torque Magnetic Random Access Memory (STT-MRAM), is critical component to effect the speed of data computation or access on applications. In this paper, we propose a hardware-aided model, STT-MRAM co-design deep learning model, to speed up such as vision recognition for the domain of IoTs, in which a STT-MRAM control circuit is designed to efficiently access data from memories and a software-based CPU is applied in a FPGA to process vision recognition. Notably, STT-MRAM is an emerging memory in lower power consumption, higher intelligence and non-volatile, which are critical for the design of IoT platform.","PeriodicalId":303502,"journal":{"name":"2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)","volume":"400 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129031793","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 : 2019-10-01DOI: 10.1109/GCCE46687.2019.9015533
H. Suwa, Atsushi Otsubo, Yugo Nakamura, Masahito Noguchi
In searching for a rental property, information such as a degree of quietness and sunshine on the rental property is important. Sensing devices are necessary to get that information. However, data collection devices cannot use the Internet and power from the outlet because the target is vacant rental property. Therefore, it is necessary to construct an IoT device capable of sensing environmental information without internet and power. In this paper, we develop an environmental information sensing device under the constraint that there is no electricity in the vacant rental property and a no Internet environment. As a result of the demonstration experiment based on the cooperation of real estate agents, we clarified that the proposed device can collect data.
{"title":"Data Collection and Index Creation for the Vacant Rental Property using IoT Sensing","authors":"H. Suwa, Atsushi Otsubo, Yugo Nakamura, Masahito Noguchi","doi":"10.1109/GCCE46687.2019.9015533","DOIUrl":"https://doi.org/10.1109/GCCE46687.2019.9015533","url":null,"abstract":"In searching for a rental property, information such as a degree of quietness and sunshine on the rental property is important. Sensing devices are necessary to get that information. However, data collection devices cannot use the Internet and power from the outlet because the target is vacant rental property. Therefore, it is necessary to construct an IoT device capable of sensing environmental information without internet and power. In this paper, we develop an environmental information sensing device under the constraint that there is no electricity in the vacant rental property and a no Internet environment. As a result of the demonstration experiment based on the cooperation of real estate agents, we clarified that the proposed device can collect data.","PeriodicalId":303502,"journal":{"name":"2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129070291","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 : 2019-10-01DOI: 10.1109/GCCE46687.2019.9015570
Sunee Sae-Lao, Pujana Paliyawan, R. Thawonmas, Tomohiro Harada
This paper presents new features added to Runner, an open-source 2D-platform running game designed for games for health research. This game can be played by using body motion through a Kinect device, and the original version of the game is focused on physical health promotion and facial expression by video camera. We present a new mode that aims at enhancing mental well-being through a smile detection mechanism. An integration between motion detection and facial expression detection is presented.
{"title":"Enhance Physical and Mental Well-Being of Game Players in an Endless Running Game","authors":"Sunee Sae-Lao, Pujana Paliyawan, R. Thawonmas, Tomohiro Harada","doi":"10.1109/GCCE46687.2019.9015570","DOIUrl":"https://doi.org/10.1109/GCCE46687.2019.9015570","url":null,"abstract":"This paper presents new features added to Runner, an open-source 2D-platform running game designed for games for health research. This game can be played by using body motion through a Kinect device, and the original version of the game is focused on physical health promotion and facial expression by video camera. We present a new mode that aims at enhancing mental well-being through a smile detection mechanism. An integration between motion detection and facial expression detection is presented.","PeriodicalId":303502,"journal":{"name":"2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129296532","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 : 2019-10-01DOI: 10.1109/GCCE46687.2019.9015396
Rong-Song Li, Hsiu-Chuan Chien, R. Huang, R. Weng
A high power gain low noise amplifier (LNA) is usually required for ultra-wideband systems (UWB) based on TSMC 0.18μm CMOS technology is reported. In this paper, current-reuse technology is applied with LC low-pass filter (LPF) for reduce power consumption. Cascode amplifier provides power gain to solve low power gain at middle band frequency. The LNA circuit achieves high power gain (|S21|) of 20.54dB with input return loss (|S11|) better than −12.15dB, output return loss (|S22|) better than −11.99dB and noise figure (NF) of 4.3dB ± 0.69dB for frequencies 3.1-10.6 GHz. The fabricated LNA occupies a die area of 1.198 × 0.952 mm2including pads and draw 10.87mW from 1.3-V dc supply. The figure of merit (FoM) is 11.26.
{"title":"Design of High Gain Low Noise Amplifier with Current-Reuse Technology for UWB Systems","authors":"Rong-Song Li, Hsiu-Chuan Chien, R. Huang, R. Weng","doi":"10.1109/GCCE46687.2019.9015396","DOIUrl":"https://doi.org/10.1109/GCCE46687.2019.9015396","url":null,"abstract":"A high power gain low noise amplifier (LNA) is usually required for ultra-wideband systems (UWB) based on TSMC 0.18μm CMOS technology is reported. In this paper, current-reuse technology is applied with LC low-pass filter (LPF) for reduce power consumption. Cascode amplifier provides power gain to solve low power gain at middle band frequency. The LNA circuit achieves high power gain (|S21|) of 20.54dB with input return loss (|S11|) better than −12.15dB, output return loss (|S22|) better than −11.99dB and noise figure (NF) of 4.3dB ± 0.69dB for frequencies 3.1-10.6 GHz. The fabricated LNA occupies a die area of 1.198 × 0.952 mm2including pads and draw 10.87mW from 1.3-V dc supply. The figure of merit (FoM) is 11.26.","PeriodicalId":303502,"journal":{"name":"2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123915659","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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