2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)最新文献_第9页

Heuristic Approach for PRI Modulation Recognition Based on Symbolic Radar Pulse Trains Analysis 基于符号雷达脉冲序列分析的PRI调制识别启发式方法

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042927

Yu-Shan Liang, You-Gang Chen, Teresa Bei-Yi Shen

引用次数: 0

Effect of UAV Flight Characteristics to Mobile Network Quality for UAV BVLOS Operations 无人机飞行特性对无人机BVLOS移动网络质量的影响

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042855

Hansel Ongkowijoyo, Chung-Yan Lin, N. Ruseno

引用次数: 0

ERP and DTW-based Transformer-customer Identification 基于ERP和dtw的变压器客户识别

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042937

Ziyang Yang, Xiao Ye, Xiao‐hai Yang, Nan Pan, Guangmin Li

{"title":"ERP and DTW-based Transformer-customer Identification","authors":"Ziyang Yang, Xiao Ye, Xiao‐hai Yang, Nan Pan, Guangmin Li","doi":"10.1109/ECICE55674.2022.10042937","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042937","url":null,"abstract":"The loss management work is closely related to the line’s operation efficiency, the power enterprise’s economic benefits, and electricity consumption safety. However, the strange relationship between the household transformer leads to the inaccurate calculation of the line loss in the station area, thus hindering the line loss management work. Therefore, given the problems of large workload, high cost, and short timeliness of identification results in traditional manual inspection, line loss fluctuation data is used to screen abnormal users of household transformer relationships. Accurate compensation editing distance (ERP) is combined with the dynamic time warping algorithm (DTW) to calculate the similarity of the user voltage curve in the abnormal station area. The SOM clustering algorithm is used to update and identify the household transformer relationship in the abnormal station area. Finally, the correlation analysis and convolutional neural network algorithm are combined to analyze and verify the updated household transformer relationship by using the power outage correlation between the station area and users, which has a specific application value.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121992020","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

Prediction of Machining Parameters by Vibration Signal 利用振动信号预测加工参数

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042850

Jeih-Tsyr Chung, Qinyu Lin, Fang-Yun Hu, Bo Hu, You-Shin Lin

引用次数: 0

Wearable Haptic Displays Design for Visual Impaired Football 为视障足球设计的可穿戴触觉显示器

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042924

Manni Hou, Ning Miao, Xinyue Bi, Xun Peng, Gang Wang, Gang Ren

引用次数: 0

CNC Interpolator Parameter Optimization using Deep Learning 利用深度学习优化数控插补器参数

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042898

Jian-An Lin, Ming-Tsung Lin, Yong-Zhong Li, Ya-Hsuan Wang

引用次数: 0

Application of AI Data Mining in Legal Digital Resources in China Based on Big Data 基于大数据的AI数据挖掘在中国法律数字资源中的应用

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042925

Yixuan Zhang

引用次数: 0

An Analysis of Bearing Lubricant in a Wind Turbine 某风力发电机轴承润滑油分析

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042905

F. Weng, Min-Fong Tsai, T. Chen

{"title":"An Analysis of Bearing Lubricant in a Wind Turbine","authors":"F. Weng, Min-Fong Tsai, T. Chen","doi":"10.1109/ECICE55674.2022.10042905","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042905","url":null,"abstract":"In this project, performance of bearing lubricant for wind turbine were analyzed. The experimental equipment includes fans, anemometers, generators, rectifiers and voltage stabilizers. carbon steel sheet is used as the wind turbine skeleton which was matched with the position of the lock hole of the bearing fixing seat, and is fixed and well-constructed. Material of blades was assembled using aluminum alloy and the fan was driven by a fixed air source in experiment. Power generation of wind turbine as well as vibration data of bearing of wind turbine were investigated. The vibration frequency spectrum of bearing was regularly measured under normal circumstances. Lubrication performance and power generation were investigated by comparison with two different lubrications. The experimental results can be obtained by checking the rotation speed and power generation efficiency of different greases. Though there was no obvious change in rotation speed and power generation, the RMS diagram of vibration spectrum shows a decreased trend. A simple test model using a fan motor was set up for vibration test. The rotation speed was increased in a specific formula of grease that compared with a general grease, which can also be read from the frequency spectrum in vibration test.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122613435","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

Develop an Intelligent Robotic Arm Grasp and Control System Capable of Determining the Angle of Objects 研制一种能够确定物体角度的智能机械臂抓取与控制系统

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042951

Nian-Ze Hu, Qiuping Lin, Ruo-Wei Wu, You-Xing Zeng, Bo-An Lin, Shang-Wei Liu, Kai-Hsun Hsu, Jeng-Dao Lee, Ying-Hsiu Hung, Chun-Min Tsai

{"title":"Develop an Intelligent Robotic Arm Grasp and Control System Capable of Determining the Angle of Objects","authors":"Nian-Ze Hu, Qiuping Lin, Ruo-Wei Wu, You-Xing Zeng, Bo-An Lin, Shang-Wei Liu, Kai-Hsun Hsu, Jeng-Dao Lee, Ying-Hsiu Hung, Chun-Min Tsai","doi":"10.1109/ECICE55674.2022.10042951","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042951","url":null,"abstract":"The automatic judgment of the object’s angle can enhance the work efficiency of mechanical loading and unloading, which is necessary for the workflow of non-fixed placement. Therefore, we develop a method for judging object angles that can be imported into various scenarios. First of all, the model of each tool is established. Before the identification process, the proposed system improves the accuracy by adjusting the brightness and contrast. Then, the position and angle of the object are judged to command the robotic arm for gripping. In addition, the best gripping point is found according to the boundary shape of the object to enhance the stability of the moving process so that the workpiece does not fall during the process. The object’s coordinates, angle, and clamping position are determined after the images are captured through the camera to improve the efficiency of the handling process. This design can be implemented in various loading and unloading processes.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126235896","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

Human Fall Prediction and Detection Using Low Price IMU Sensor 基于低价格IMU传感器的人体跌倒预测与检测

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042848

C. Nutsathaporn, S. Chomkokard, W. Wongkokua, N. Jinuntuya, S. Ruengittinun, S. Sasimontonkul

{"title":"Human Fall Prediction and Detection Using Low Price IMU Sensor","authors":"C. Nutsathaporn, S. Chomkokard, W. Wongkokua, N. Jinuntuya, S. Ruengittinun, S. Sasimontonkul","doi":"10.1109/ECICE55674.2022.10042848","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042848","url":null,"abstract":"In this project, we develop a device to warn the elderly when they are unsteady and at a risk of falling, based on a low price IMU sensor. From our preliminary study we find that during the sway, the body vibrates violently in all frequencies. This is different from the body at stationary posture, where the vibration is small, or when a person moves in a regular manner where the body vibrates with some definite frequencies. From these results, it is possible to use the mean amplitude of the Fourier spectrum of the body acceleration to distinguish the vibration state of the body, which can be used in the warning system. We then designed the device using the low price MPU6050 sensor to measure the body acceleration. This device will be attached to the body (hip) for collecting the acceleration data. An ESP8266 board is used to collect and control the sensor operation. Another ESP8266 board is used to receive and send the data to a Raspberry Pi unit. All data transmission is performed wirelessly via ESP NOW protocol, which is a low power consumption 2.4GHz wireless communication with a data package of up to 250 bytes at a time with 100-200m transmission range, which cover the living space area of typical wearer. When the mean amplitude of Fourier spectrum is greater than the warning criteria, the Raspberry Pi will send a signal to the warning unit wirelessly through the ESP8266 board. There are 3 types of alarms in warning unit which are sound alarm, light alarm, and LCD display alarm. We have tested our system with many volunteers. The mean amplitude of Fourier spectrum in the steady, walking, and sway condition can be clearly distinguished. In all cases the state of risky from falling can be detected correctly. We are now in the process of maximizing the data sampling and analyzing time to make the falling prediction as fast as possible.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128389736","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