Pub Date : 2020-10-23DOI: 10.1109/ECICE50847.2020.9301914
Wen Feng Lin
In this research, author probes rotating functionally graded material hollow cylinder with exponentially-varying profile and properties. There are different pressure and temperature apply on boundary surfaces of hollow cylinder. The issue is analyzed by using the radial displacement governing equation, and the solution is presented by Whittaker’s functions. Analytic solutions of deformation and stresses are proposed, and the influences of pressure and temperature with respect to stress distribution are probed. Numerical results for the analytic solutions are presented to demonstrate the responses of the applied conditions on proposed cylinder.
{"title":"Analysis of Thick-Wall Hollow Functionally Graded Material under Temperature and Pressure Loads","authors":"Wen Feng Lin","doi":"10.1109/ECICE50847.2020.9301914","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301914","url":null,"abstract":"In this research, author probes rotating functionally graded material hollow cylinder with exponentially-varying profile and properties. There are different pressure and temperature apply on boundary surfaces of hollow cylinder. The issue is analyzed by using the radial displacement governing equation, and the solution is presented by Whittaker’s functions. Analytic solutions of deformation and stresses are proposed, and the influences of pressure and temperature with respect to stress distribution are probed. Numerical results for the analytic solutions are presented to demonstrate the responses of the applied conditions on proposed cylinder.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128006930","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 : 2020-10-23DOI: 10.1109/ECICE50847.2020.9301949
Hui-fang Lin, Y. Hsieh
Energy-saving and faster manufacturing techniques are essential requirements for the ideal production of polyethylene terephthalate (PET) bottles. The establishment of accurate calculation skills strengthens a quality working environment for improving manufacturing technology. We applied the adaptive finite element method and calculated the time-dependent SST (shear stress transport), k-ω, k-ε and LES (large eddy simulation) models to predict the airflow field around the PET bottles in a heating box. The computation of the flow field was performed using software COMSOL 5.5 (COMSOL Inc., Palo Alto, CA). The experimental data are acquired to compare with simulation results in terms of calculation accuracy. Computational fluid dynamics (CFD) results showed that error for the velocity and pressure of the flow field at specific positions in the vicinity of the preform was satisfied. The error estimation on the main physical quantity helps calculate other physical quantities. The variation trend of y+ values near the bottle surface had an identical trend alongside the gird concentration trend during the adaptive computation process. This study reveals that the outcome of the adaptive computation method and its underlying theories satisfy the physical requirements in this case.
{"title":"Relations between y+ Value and Adaptive Computation Result for Manufacturing Bottles","authors":"Hui-fang Lin, Y. Hsieh","doi":"10.1109/ECICE50847.2020.9301949","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301949","url":null,"abstract":"Energy-saving and faster manufacturing techniques are essential requirements for the ideal production of polyethylene terephthalate (PET) bottles. The establishment of accurate calculation skills strengthens a quality working environment for improving manufacturing technology. We applied the adaptive finite element method and calculated the time-dependent SST (shear stress transport), k-ω, k-ε and LES (large eddy simulation) models to predict the airflow field around the PET bottles in a heating box. The computation of the flow field was performed using software COMSOL 5.5 (COMSOL Inc., Palo Alto, CA). The experimental data are acquired to compare with simulation results in terms of calculation accuracy. Computational fluid dynamics (CFD) results showed that error for the velocity and pressure of the flow field at specific positions in the vicinity of the preform was satisfied. The error estimation on the main physical quantity helps calculate other physical quantities. The variation trend of y+ values near the bottle surface had an identical trend alongside the gird concentration trend during the adaptive computation process. This study reveals that the outcome of the adaptive computation method and its underlying theories satisfy the physical requirements in this case.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134507080","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 : 2020-10-23DOI: 10.1109/ECICE50847.2020.9302010
Pei-Jung Lin, C. Ho
Artificial intelligence and Internet of Things (AIoT) technology were applied to develop an integrated system for remote space authentification and power management. The system is applied to various commercial uses such as the control of mobile or cloud authorization in buildings and the management of shared offices or hospitals. To develop the proposed system, AIoT smart lock with low power consumption was designed to control the access and manage the power consumption of other IoT devices effectively in the venue. AIoT communication firmware and devices were developed to enable smart control and management. Finally, an energy management system helps enterprises monitor the power consumption of devices in real-time and grant authorization for device monitoring and management. The proposed system sends monitoring data to a cloud server and enables the managing of commercial activities and unmanned venues. Through hardware and software integration, this study created the AIoT smart lock, promoted the use of IoT devices in relevant industries, and enhanced the competitiveness of product research and development.
{"title":"Smart Lock Security System Based on Artificial Internet of Things","authors":"Pei-Jung Lin, C. Ho","doi":"10.1109/ECICE50847.2020.9302010","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9302010","url":null,"abstract":"Artificial intelligence and Internet of Things (AIoT) technology were applied to develop an integrated system for remote space authentification and power management. The system is applied to various commercial uses such as the control of mobile or cloud authorization in buildings and the management of shared offices or hospitals. To develop the proposed system, AIoT smart lock with low power consumption was designed to control the access and manage the power consumption of other IoT devices effectively in the venue. AIoT communication firmware and devices were developed to enable smart control and management. Finally, an energy management system helps enterprises monitor the power consumption of devices in real-time and grant authorization for device monitoring and management. The proposed system sends monitoring data to a cloud server and enables the managing of commercial activities and unmanned venues. Through hardware and software integration, this study created the AIoT smart lock, promoted the use of IoT devices in relevant industries, and enhanced the competitiveness of product research and development.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134180087","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 : 2020-10-23DOI: 10.1109/ECICE50847.2020.9301966
Chung-Yang Sue, C. Hsiao, Che-Kai Yeh
A micromachined capacitive vibration sensor is proposed in this work for machine tool condition monitoring. The sensing element design, readout circuit, system module design, and experimental results are also investigated. A systematic FIR compensation filter for the proposed vibration monitoring system enhances the flatness of the passband frequency so that the output amplitude of the sensor keeps near a constant under different excitation frequencies. The passband flatness of the compensated MEMS vibration sensor is about 7.5% with the 5kHz bandwidth and the noise density is about $31mu g/sqrt {Hz} $. Finally, the vibration sensor is characterized and verified by the metal milling process for the performance and the feasibility for machine condition-based monitoring.
本文提出了一种用于机床状态监测的微加工电容式振动传感器。对传感元件设计、读出电路、系统模块设计和实验结果进行了研究。所提出的振动监测系统采用系统FIR补偿滤波器，提高了通带频率的平坦度，使传感器在不同激励频率下的输出幅值保持在一个常数附近。补偿后的MEMS振动传感器通带平整度约为7.5% with the 5kHz bandwidth and the noise density is about $31mu g/sqrt {Hz} $. Finally, the vibration sensor is characterized and verified by the metal milling process for the performance and the feasibility for machine condition-based monitoring.
{"title":"Micromachined Capacitive Vibration Sensor with High Passband Flatness for Condition Based Monitoring","authors":"Chung-Yang Sue, C. Hsiao, Che-Kai Yeh","doi":"10.1109/ECICE50847.2020.9301966","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301966","url":null,"abstract":"A micromachined capacitive vibration sensor is proposed in this work for machine tool condition monitoring. The sensing element design, readout circuit, system module design, and experimental results are also investigated. A systematic FIR compensation filter for the proposed vibration monitoring system enhances the flatness of the passband frequency so that the output amplitude of the sensor keeps near a constant under different excitation frequencies. The passband flatness of the compensated MEMS vibration sensor is about 7.5% with the 5kHz bandwidth and the noise density is about $31mu g/sqrt {Hz} $. Finally, the vibration sensor is characterized and verified by the metal milling process for the performance and the feasibility for machine condition-based monitoring.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"496 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133272665","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 : 2020-10-23DOI: 10.1109/ECICE50847.2020.9301999
Chia-En Yang, Yangtai Shen, Shih-Hao Liao
A BIM-based system is developed to monitor and visualize user information in real-time. By building in-use stages, advantages in tracking facial recognition should be revealed through the availability of real-time information. In this way, the possibility of improving BIM and IoT for data-oriented facility management is investigated. SyncBIM, the integration system is developed on 5 design rules: (1) 3D Information Model Aiding Decision-making, (2) Object orientation design delivering service, (3) Dynamic DB based on real-time monitoring, (4) Mapping data-driven visualized results, and (5) Hierarchical Integration of Contextualized Spatial Information. In this research, we demonstrate the SyncBIM system of real-time facial recognition with appropriate parameters.
{"title":"Integration of Real-time Facial Recognition and Visualization in BIM","authors":"Chia-En Yang, Yangtai Shen, Shih-Hao Liao","doi":"10.1109/ECICE50847.2020.9301999","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301999","url":null,"abstract":"A BIM-based system is developed to monitor and visualize user information in real-time. By building in-use stages, advantages in tracking facial recognition should be revealed through the availability of real-time information. In this way, the possibility of improving BIM and IoT for data-oriented facility management is investigated. SyncBIM, the integration system is developed on 5 design rules: (1) 3D Information Model Aiding Decision-making, (2) Object orientation design delivering service, (3) Dynamic DB based on real-time monitoring, (4) Mapping data-driven visualized results, and (5) Hierarchical Integration of Contextualized Spatial Information. In this research, we demonstrate the SyncBIM system of real-time facial recognition with appropriate parameters.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133500105","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}
Recently, the application of Unmanned Ground Vehicle (UGV) has been increasingly prevalent. It can be used in different applications both indoors and outdoors. However, for some scenarios, the Global Positioning System (GPS) may not be always precise and available due to signal attenuation and multi-path propagation. Hence, in this research, we use a novel vision-based architecture, including machine learning and edge computing, to analyze the geometric features to find the path. Furthermore, we also intend to perform a scenario analysis for obtaining the setting with better performance. According to the experimental results, the prototype demonstrates the appropriate performance and properties.
{"title":"Scenario Analysis for Road Following Using JetBot","authors":"Che-Cheng Chang, Yu-Heng Juan, Cheng-Ling Huang, Hsuan-Ju Chen","doi":"10.1109/ECICE50847.2020.9302017","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9302017","url":null,"abstract":"Recently, the application of Unmanned Ground Vehicle (UGV) has been increasingly prevalent. It can be used in different applications both indoors and outdoors. However, for some scenarios, the Global Positioning System (GPS) may not be always precise and available due to signal attenuation and multi-path propagation. Hence, in this research, we use a novel vision-based architecture, including machine learning and edge computing, to analyze the geometric features to find the path. Furthermore, we also intend to perform a scenario analysis for obtaining the setting with better performance. According to the experimental results, the prototype demonstrates the appropriate performance and properties.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133351631","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 : 2020-10-23DOI: 10.1109/ECICE50847.2020.9301944
Chih-ming Wu, Qin Tsai, Lin-Yan Li, Celia Xiao
In order to make the operation and maintenance phase of the utility tunnel more intelligent, this study is based on the building information modeling (BIM), 3D printing, IoT sensors, cloud computing and other technologies. The actual simulation of the utility tunnel in the operation stage. The results of the study learned that the use of the Internet of things and other technologies, will be able to more intelligent control of the use of the integrated management corridor, through cloud computing and other ways to reduce the advantages of cloud maintenance system set-up costs, increased efficiency in maintenance.
{"title":"Development and Application Scenario of Municipal Utility Tunnel Facility Management Based on BIM, 3D Printer and IoT","authors":"Chih-ming Wu, Qin Tsai, Lin-Yan Li, Celia Xiao","doi":"10.1109/ECICE50847.2020.9301944","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301944","url":null,"abstract":"In order to make the operation and maintenance phase of the utility tunnel more intelligent, this study is based on the building information modeling (BIM), 3D printing, IoT sensors, cloud computing and other technologies. The actual simulation of the utility tunnel in the operation stage. The results of the study learned that the use of the Internet of things and other technologies, will be able to more intelligent control of the use of the integrated management corridor, through cloud computing and other ways to reduce the advantages of cloud maintenance system set-up costs, increased efficiency in maintenance.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122221367","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 : 2020-10-23DOI: 10.1109/ECICE50847.2020.9301930
Sung-Shiou Shen, Cen Jian, Shen-Ho Lin, Wei Chien
In modern life, it is a good choice to stay overnight in the hotels or Inns for a business or a short trip in a busy schedule. Today, most of the current hotel check-in and -out registration procedures still need to be completed by the counter service staff by contacting the hotel guest. However, the current registration procedure is not private for customers who put great importance on privacy and security. To protect customer privacy and personal information, contacting people should be reduced, and the transmission of customer personal data must be encrypted and avoided. For the business and security service of a high-level hotel to attract more customs, the best choice is to provide an electronic counter which provides customers with automatic check-in and out registration procedures. However, personal IDs resulting are required to successfully perform personal identification or authentication. Hence, this paper proposes a log-in system with automatic identification which detects the unique characteristics of the customer through the backend system verification and comparison. The system achieves the purpose of successful identification of individuals without carrying mobile devices and IDs and enables contactless check-in and -out registration procedure for assuring customer privacy and security.
{"title":"Travel Shop Service System with Identity Key","authors":"Sung-Shiou Shen, Cen Jian, Shen-Ho Lin, Wei Chien","doi":"10.1109/ECICE50847.2020.9301930","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301930","url":null,"abstract":"In modern life, it is a good choice to stay overnight in the hotels or Inns for a business or a short trip in a busy schedule. Today, most of the current hotel check-in and -out registration procedures still need to be completed by the counter service staff by contacting the hotel guest. However, the current registration procedure is not private for customers who put great importance on privacy and security. To protect customer privacy and personal information, contacting people should be reduced, and the transmission of customer personal data must be encrypted and avoided. For the business and security service of a high-level hotel to attract more customs, the best choice is to provide an electronic counter which provides customers with automatic check-in and out registration procedures. However, personal IDs resulting are required to successfully perform personal identification or authentication. Hence, this paper proposes a log-in system with automatic identification which detects the unique characteristics of the customer through the backend system verification and comparison. The system achieves the purpose of successful identification of individuals without carrying mobile devices and IDs and enables contactless check-in and -out registration procedure for assuring customer privacy and security.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115974313","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 : 2020-10-23DOI: 10.1109/ECICE50847.2020.9301923
Ching-Hsi Tseng, Yen-Pin Hsu, S. Yuan
We propose a weakly supervised object detection network based on eye-tracking data. A large number of training samples cannot be used due to the following problems: (1) the labels of training samples in object detection are not all pixel-level and (2) the cost of labeling is too high. Thus, we introduce a framework whose input combines images with only image-level labels and eye-tracking data. Based on the position given by the eye-tracking data, the framework has effective performance even in the case of incomplete sample annotation. Thus, we use an eye-tracker to collect the data on the most interesting area in the sample images and present the data in the fixations way. Then, the bounding boxes produced by the fixations data and the original image-level label become the input data of the object detection network. In this way, eye-tracking data helps us selecting the bounding boxes and providing detailed location information. Experiment results verify that the framework is effective with the support of eye-tracking data.
{"title":"Eye-tracking Data for Weakly Supervised Object Detection","authors":"Ching-Hsi Tseng, Yen-Pin Hsu, S. Yuan","doi":"10.1109/ECICE50847.2020.9301923","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301923","url":null,"abstract":"We propose a weakly supervised object detection network based on eye-tracking data. A large number of training samples cannot be used due to the following problems: (1) the labels of training samples in object detection are not all pixel-level and (2) the cost of labeling is too high. Thus, we introduce a framework whose input combines images with only image-level labels and eye-tracking data. Based on the position given by the eye-tracking data, the framework has effective performance even in the case of incomplete sample annotation. Thus, we use an eye-tracker to collect the data on the most interesting area in the sample images and present the data in the fixations way. Then, the bounding boxes produced by the fixations data and the original image-level label become the input data of the object detection network. In this way, eye-tracking data helps us selecting the bounding boxes and providing detailed location information. Experiment results verify that the framework is effective with the support of eye-tracking data.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116016713","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 : 2020-10-23DOI: 10.1109/ECICE50847.2020.9301929
Yi-Chen Lee, Ching-Min Lee
This research combines Raspberry Pi with the Internet of Things and the foundations of artificial intelligence to develop a real-time smart home surveillance system to improve safety at home. With a remote control method, people may check the safety of their own home in real-time. The realized smart system is based on Raspberry Pi 4B that adopts the Internet of Things architecture and combines several sensors and devices for home security to set up a safer home environment. The main method is to connect the Raspberry Pi to a network sharer or computer with a fixed IP and then input it into a computer or mobile phone to achieve remote control. To provide home safety for the elderly or the challenged people, the proposed system combines a voice control module to improve the user convenience.
{"title":"Real-Time Smart Home Surveillance System of Based on Raspberry Pi","authors":"Yi-Chen Lee, Ching-Min Lee","doi":"10.1109/ECICE50847.2020.9301929","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301929","url":null,"abstract":"This research combines Raspberry Pi with the Internet of Things and the foundations of artificial intelligence to develop a real-time smart home surveillance system to improve safety at home. With a remote control method, people may check the safety of their own home in real-time. The realized smart system is based on Raspberry Pi 4B that adopts the Internet of Things architecture and combines several sensors and devices for home security to set up a safer home environment. The main method is to connect the Raspberry Pi to a network sharer or computer with a fixed IP and then input it into a computer or mobile phone to achieve remote control. To provide home safety for the elderly or the challenged people, the proposed system combines a voice control module to improve the user convenience.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"29 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117047280","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：