2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)最新文献_第8页

Compression and Privacy of Hyperspectral Images 高光谱图像的压缩和隐私

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/ICECCME55909.2022.9988311

B. Carpentieri

引用次数: 1

Screw Tightness Detection System Based on Deep Machine Learning 基于深度机器学习的螺钉松紧度检测系统

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/ICECCME55909.2022.9988733

Mezna Salem Alhammadi, Alya Suhail Rahma Alshamsi, Fatimah Mohammed Alali, M. Shatnawi

{"title":"Screw Tightness Detection System Based on Deep Machine Learning","authors":"Mezna Salem Alhammadi, Alya Suhail Rahma Alshamsi, Fatimah Mohammed Alali, M. Shatnawi","doi":"10.1109/ICECCME55909.2022.9988733","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9988733","url":null,"abstract":"Industrial processes make heavy use of screws and nuts to join wood and make connections with metals, which essentially form the foundation for creating complex structures. It is important to have effective screw tightness to manufacture stable industrial components, this makes it critical to have methods of detecting defects in screws. However, in many circumstances, including severe settings, hazardous industrial situations, and the field of rotary equipment, it is difficult for humans to manually detect screw tightness and flaws. Therefore, a smart classifier is required to identify screw defects quickly and accurately while presenting the least amount of risk. In this work we applied deep machine learning convolutional neural networks (CNN) for automatic detection of flaws in a screw where three conditions are detected; tight screw, loose screw, and missing screw, in which serious actions will take place once loose or missing screw is detected. We examined three CNN models which are SqueezeNet, GoogLeNet, and AlexNet. Experimental results show that GoogleNet obtained the highest classification accuracy of 99.8%.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125243248","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: 1

Nowcasting of Corporate Research and Development trends through news article analysis by BERTopic: the case of Japanese electric company BERTopic通过新闻文章分析预测企业研发趋势:以日本电力公司为例

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/ICECCME55909.2022.9987867

Haruna Okazaki, Hiroshi Takahashi

{"title":"Nowcasting of Corporate Research and Development trends through news article analysis by BERTopic: the case of Japanese electric company","authors":"Haruna Okazaki, Hiroshi Takahashi","doi":"10.1109/ICECCME55909.2022.9987867","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9987867","url":null,"abstract":"Various means exist for obtaining information about a company. However, many of them are not timely and, from the investor’ s point of view, do not have enough information. In particular, it is even more difficult to find out trends of diversified companies with multiple segments. Therefore, this study aims to extract timely information on the trends of each segment of a company from news data using BERTopic. The analysis targets news headlines of diversified electronics firms listed on the Japanese stock market. The sample period was 24 years, from 1996 to 2019, and the number of news items for analysis was 26,058. As a result of the analysis, we found that (1) BERTopic can classify the target news into 46 topics, (2) it is possible to identify company segments and extract trends in company activities from the classified topics, and (3) it is also possible to visualize the time-series transition of topics related to each segment. (4) The results obtained from the analysis were used to determine the value of the company's investment in the market. In addition, the results obtained from the analysis were consistent with the descriptions in the annual reports. These results indicate the possibility of obtaining highly immediate information on corporate trends, such as R&D, through the analysis of news headlines via BERTopic.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122675568","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: 1

A comprehensive system for the acquisition of EMG signals and muscle force in lower limb 下肢肌电信号和肌肉力量采集的综合系统

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/ICECCME55909.2022.9988114

Steve Juárez, Alejandro González, M. Maya, A. Cárdenas, E. González-Galván, H. I. Medellín-Castillo

{"title":"A comprehensive system for the acquisition of EMG signals and muscle force in lower limb","authors":"Steve Juárez, Alejandro González, M. Maya, A. Cárdenas, E. González-Galván, H. I. Medellín-Castillo","doi":"10.1109/ICECCME55909.2022.9988114","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9988114","url":null,"abstract":"Electromyography (EMG) signals are used in a wide variety of research fields including sports, rehabilitation, diagnosis of muscular diseases, prosthetics, robotics, ergonomics, and muscular fatigue, among others. These signals contain valuable information about the activity of the muscle fibers and are related to the muscle's ability to generate force. However, these signals are highly susceptible to noise and interference, which is why multiple efforts found in the literature aim to reduce these disturbances and obtain signals with better quality. This work documents the design and conception of a new a machine meant to record EMG signals and resulting muscle force from the lower limb. This device consists of an instrumented leg extension machine with the necessary equipment for force measurement and EMG signals. All the while reducing one of the most common sources of interference such as artifact noise that is the involuntary movement of the sensors. In addition, this machine does not need extensive training or tests prior to capturing the data that will be used for processing. It is expected that the information of the force and EMG signals can be used for model validation, medical diagnosis, patient follow-up, etc.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122834912","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

The Zone of Silence That Surrounds Herpetologists: Substrate-borne Vibrations Can Modulate Frog Behavior 爬虫学家周围的寂静地带:基质传播的振动可以调节青蛙的行为

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/ICECCME55909.2022.9988412

P. Narins

引用次数: 0

Power factor improvement through optimal placement and sizing of D-STATCOM using particle swarming optimization 通过粒子群优化D-STATCOM的最佳位置和尺寸来提高功率因数

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/ICECCME55909.2022.9988157

Leonel Esteban Flores Iza, Manuel Darío Jaramillo Monge, W. D. P. Vallejos

引用次数: 0

Cadmium telluride solar cells power plants compared to crystalline silicon 碲化镉太阳能电池与晶体硅太阳能电池相比

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/ICECCME55909.2022.9988651

S. Castelletto, A. Boretti

{"title":"Cadmium telluride solar cells power plants compared to crystalline silicon","authors":"S. Castelletto, A. Boretti","doi":"10.1109/ICECCME55909.2022.9988651","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9988651","url":null,"abstract":"This work aims to review the perspective of cadmium telluride (CdTe) thin-film (TF) solar cells (SCs). Capacity factors and reported costs of power plants adopting CdTe photovoltaic (PV) solar panels are compared to alternative designs such as crystalline Si. Of the 9 largest PV facilities in the United States, 6 have been built adopting the CdTe TF technology, with the same developer, and 3 of them the crystalline Si technology with different developers. All these 6 CdTe TF PV facilities show a penalty rather than an advantage in the annual average capacity factor, about 10% less, compared to the 3 designed with crystalline Si modules at plant costs that were comparable. All these 9 facilities were located in areas of similarly good resources. While the observed negative difference may be partially explained by differences in the tracking system, the advantage of the technology is mostly commercial in the specific United States market, rather than the global techno-economical. The emergence of higher efficiency mass-produced monocrystalline Si and Si heterojunction solar cells may further increase the gap. The main reason to support the CdTe TF SCs technology is thus the claim of a more environmentally friendly product, however reliant on subjective life cycle assessments.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130304351","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

Integrating Cognitive Radio MIMO UAVs in Cellular Networks for 5G and Beyond 在5G及以后的蜂窝网络中集成认知无线电MIMO无人机

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/ICECCME55909.2022.9988381

Lokman Sboui, Hakim Ghazzai, Y. Massoud

引用次数: 0

Early Warning System And Mobile App For Marine Pollution Prevention 海洋污染防治预警系统及移动应用

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/ICECCME55909.2022.9988253

Marija Koričan, N. Vladimir, E. Stamatopoulou, N. Ventikos, D. Omanović

{"title":"Early Warning System And Mobile App For Marine Pollution Prevention","authors":"Marija Koričan, N. Vladimir, E. Stamatopoulou, N. Ventikos, D. Omanović","doi":"10.1109/ICECCME55909.2022.9988253","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9988253","url":null,"abstract":"The Interreg ADRION project SEA VIEWS (SEctor Adaptive VIrtual Early Warning System for marine pollution), emphasizes the importance of developing an early warning system for preventing and mitigating marine pollution from various sources. Seawater quality is a key factor in different sectors, from tourism to mariculture, thus proper monitoring and real-time response to pollution have an important role in its obtaining. The paper presents the SEA VIEWS project by stages. The first step of the project was establishing a transnational network of multiparameter probes, installed across the Adriatic - Ionian Sea. The network enabled the collection of data on 9 different parameters and created the foundations for the development of an early warning system for marine pollution. The next step was creating a mobile application, which will engage the general public in the fight against marine pollution. The paper presents the recently developed mobile application “SEA VIEWERS” and provides guidelines for its use. The data collected via the network ofprobes and reports sent by the mobile application create a wide database easily located on the SEA VIEWS platform. Therefore, the data can be accessed by all the project partners (Greece, Italy, Croatia, Slovenia, Albania and Montenegro) and used for evaluating the water quality deviations across the Adriatic - Ionian area. The overall goal of the developed early warning system is to improve current regulations for the protection of the marine environment and to ensure the quality of seawater.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"36 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114362183","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: 1

Thermal Diagnostics of a High Power Fuse with Thermovision Camera 热成像摄像机对大功率熔断器的热诊断

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/ICECCME55909.2022.9988120

I. Hadzhiev, D. Malamov, Nikolay Ivanov Kolev, I. Balabozov, I. Yatchev

引用次数: 1