2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)最新文献_第8页

Long-Range Underwater Acoustic Navigation and Communication System 远程水声导航与通信系统

2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9301970

A. Rodionov, P. Unru, A. Golov

引用次数: 5

A Study of Data Visualization of the Neo-coronary Pneumonia Epidemic 新冠肺炎疫情数据可视化研究

2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9301964

Xiaoquan Ou, Zuying Zhu, Junyan Chen, W. Xiao

引用次数: 1

Applying Machine Learning to Design and Evaluate White Noise Recommendation System for Insomniacs 应用机器学习设计与评价失眠症患者白噪声推荐系统

2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9301974

Nai-Wun Jhang, Yu-Hsiu Hung, Yang-Cheng Lin, You-Hsun Wu

{"title":"Applying Machine Learning to Design and Evaluate White Noise Recommendation System for Insomniacs","authors":"Nai-Wun Jhang, Yu-Hsiu Hung, Yang-Cheng Lin, You-Hsun Wu","doi":"10.1109/ECICE50847.2020.9301974","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301974","url":null,"abstract":"Many sleep problems have occurred due to changes in the modern lifestyle. Insomnia is more serious than other sleep disorders. Insomnia increases the risk of depression, obesity, and cardiovascular diseases when it is not treated properly. Nowadays, most sleep therapies involve drugs that cause side effects on. For non-drug therapies, certain sounds assist sleep. However, as the sound is subjective, it is difficult to determine the sound suitable for each individual. This research designs an application that recommends white noise to insomniacs. For the application, we use machine learning technology for white noise recommendation and the design method for the user interface. For the experiment, we conduct a randomized controlled experiment and a five-day sleep experiment. This experiment verifies the effectiveness of the recommended white noise for sleep improvement. In addition to sleep assessment, we also use the system usability scale and semi-structured interviews to validate this system’s usability and willingness. The result shows that white noise improves deep sleep and reduces the time to fall asleep. Moreover, the usability score of this application is much higher than the passing score of the scale.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"12 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":"122384727","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}

引用次数: 0

Ultrasonic generator for the piezoelectric transducer in IoT 物联网中用于压电换能器的超声波发生器

2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9302001

Hung-Yih Tsai, Lin Yu-Jen, Kuo-Ching Chiu

引用次数: 0

Implementation of Miniaturized Monolithic Isolated Gate Driver 小型化单片隔离栅极驱动器的实现

2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9301940

Hsuan-Yu Kuo, Jau-Jr Lin

引用次数: 1

A Smart Simulation System for Manufacturing 面向制造业的智能仿真系统

2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9301939

Ting-Hsuan Chien, Cheng-Yan Siao, Rong-Guey Chang

{"title":"A Smart Simulation System for Manufacturing","authors":"Ting-Hsuan Chien, Cheng-Yan Siao, Rong-Guey Chang","doi":"10.1109/ECICE50847.2020.9301939","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301939","url":null,"abstract":"In this paper we present a software system to simulate manufacturing in a real-time remote manner. The system contains real-time communication and simulation models. People who work on designing a production line can use this system to simulate the interaction between robots and other machines, observe and control the robots in the factory, prevent or reduce the severity of a collision. In summary, our system can not only improve the working efficiency and security but also keep the cost down.In the process of implementing our models, we proposed several methods to overcome some technical problems and to improve the performance. In the communication model, two proposed methods: messaging server (MS) and database semaphore, will be used to handle the peer-to-peer (P2P) connections and the real-time controlling. We also introduce the parallel programming and the general purpose GPU (GPGPU) into the simulation. In order to speed up the computation and the object drawing, all these methods make our system more precise, stable and faster than other approaches.Finally, we test and verify our system in the actual use, by simulating the real robots and connecting to the controllers in the real environment; the result shows our system is robust, fast and trustworthy in real-world use of smart manufacturing.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"33 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":"114295868","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}

引用次数: 0

Optimizing Machining Time and Oscillation based on Digital Twin Model of Tool Center Point 基于刀具中心点数字孪生模型的加工时间和振荡优化

2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9301988

Ben-Fong Yu, J. Chen

引用次数: 0

High Transparent Hydrophilic Photocatalytic Thin Film on Glass using Rapid Plasma Modification 快速等离子体改性玻璃表面高透明亲水性光催化薄膜

2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9301980

F. Chu, L. Y. Wang, Z. F. Wang, Y. Wu, C. Tsai

引用次数: 0

Innovative Remote Sensing System Measuring Microclimate of Street Canyon 街道峡谷小气候遥感测量创新系统

2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9302022

Chia-Hsing Chen, Ko-Chiu Wu

引用次数: 0

Cerberus: A Novel Alerting System for Flood, Fire, and Air Quality Cerberus:一种新颖的洪水、火灾和空气质量警报系统

2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9302013

Satvik Dasari

{"title":"Cerberus: A Novel Alerting System for Flood, Fire, and Air Quality","authors":"Satvik Dasari","doi":"10.1109/ECICE50847.2020.9302013","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9302013","url":null,"abstract":"According to the NHTSA, an average of 384 fatalities occur annually in the United States due to drowning while driving. The California wildfires in 2017 caused a property loss of $13 billion, 46 lives, and injuries to hundreds more. Most of the current alerting mechanisms are expensive and deficient in features for detecting floods at road crossings, wildfires, and air quality. The current fire alerting systems cost thousands of dollars, but they are not multi-purpose and compatible with smart city infrastructure. Also, the current flood alerting systems cost tens of thousands of dollars, are radio frequency-based, and require large antennas, but only provide a limited range. This paper proposes an innovative system, Cerberus, to provide early warnings for fires, floods, and air quality using an IoT device, sensors, cloud, and mobile technologies. The solution provides a Red-Yellow-Green light system for local alerts and a mobile app to alert users about unsafe water levels, fire, and air quality. All the data collected by Cerberus is stored in the cloud and used for other types of alerts such as voice calls, text alerts, and emails. The Cerberus warning system is low-cost, accurate, easy to maintain, and scalable to thousands of locations. The warning system is also integrated with an analytics platform that shows trends and historical data. The prototype was validated in the field using real data. The results show that Cerberus is a viable solution for providing accurate and reliable alerts for floods, wildfires, and air quality.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"49 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":"127071709","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}

引用次数: 0