2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)最新文献

Intelligent Algorithms for the Auto-configuration of Ad Hoc Wireless Networks based on Quality of Service Parameters 基于服务质量参数的Ad Hoc无线网络自动配置智能算法

2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2021-10-07 DOI: 10.1109/ICECCME52200.2021.9590984

S. Simbaña, Diego Vallejo-Huanga

{"title":"Intelligent Algorithms for the Auto-configuration of Ad Hoc Wireless Networks based on Quality of Service Parameters","authors":"S. Simbaña, Diego Vallejo-Huanga","doi":"10.1109/ICECCME52200.2021.9590984","DOIUrl":"https://doi.org/10.1109/ICECCME52200.2021.9590984","url":null,"abstract":"Ad Hoc networks do not depend on infrastructure, this makes each node participating in the routes by forwarding information to the different neighboring nodes and grants autonomy and flexibility to the network. The instability of the wireless network is a problem that affects the Quality of Service (QoS) parameters due to the mobility of the nodes. This article uses an unsupervised learning algorithm and a reinforcement learning algorithm, for the self-configuration of an ad hoc network based on QoS parameters, with a hierarchical network topology that allows its segmentation into clusters, reducing the routing tables. The results show that the use of artificial intelligence algorithms allows the network to remain stable and to improve the conditions around the network management strategy, modifying in realtime the waiting time of the active route and the hello-interval in the AODV protocol. The experiments with the two intelligent algorithms allow analyzing the QoS parameters in each node of the ad hoc wireless network, using the end-to-end delay data of each node, and a dataset of the traffic sent from the entire topology for searching the nodes that require auto-configuration.","PeriodicalId":102785,"journal":{"name":"2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116800706","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

International Conference on Electrical, Computer, Communications and Mechatronics Engineering 电子、计算机、通信和机电工程国际会议

2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2021-10-07 DOI: 10.1109/ICECCME52200.2021.9590957

引用次数: 1

Optimizing Algorithms for Simulation of the Hurricane Minimizer 飓风最小化器模拟的优化算法

2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2021-10-07 DOI: 10.1109/ICECCME52200.2021.9590901

E. Bailey

{"title":"Optimizing Algorithms for Simulation of the Hurricane Minimizer","authors":"E. Bailey","doi":"10.1109/ICECCME52200.2021.9590901","DOIUrl":"https://doi.org/10.1109/ICECCME52200.2021.9590901","url":null,"abstract":"Hurricanes, when they occur, devastate homes and lives due to their sheer intensities. This paper presents five algorithms (1) prediction at sensor node (2) prediction at cluster head (3) leader selection (4) leader node selection and (5) controller, suitable for Emergence in Wireless Sensor Actuated Networks (WSANs) for monitoring and controlling a tropical depression through parameters such as temperature and pressure. These algorithms are suitable for use in the Hurricane Minimizer [1] project. The general idea is to use the optimal choice, which is Cluster with computation [2] wherein a small amount of information sent to the Observer. In cluster head (leader) configuration, two algorithms employed: (1) a primary sensor node that receives data from the environment and distributes it to (2) the cluster head that aggregates and distribute the data in a network. The leader algorithm will send data to the observer. In WASNs, bandwidth and power consumption are scarce commodities, which represents the life span of the network. Simulation testbed using Maple Software generates Python and Java code to test algorithms for ECOLI (Extensible Calculus of Local Interaction) [3], as algorithms are not language-dependent. Presented here are the algorithms necessary for monitoring and controlling a tropical depression, using code in Python, however comparative analysis done using Java.","PeriodicalId":102785,"journal":{"name":"2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121116689","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

Detecting Aberrant Values and Their Influence on the Time Series Forecast 异常值的检测及其对时间序列预测的影响

2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2021-10-07 DOI: 10.1109/ICECCME52200.2021.9591085

A. Bărbulescu, C. Dumitriu, F. Dragomir

引用次数: 4

Detection of defects in CFRP composites by Optical Thermographic methods 光学热成像法检测CFRP复合材料缺陷

2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2021-10-07 DOI: 10.1109/ICECCME52200.2021.9590993

W. Świderski

{"title":"Detection of defects in CFRP composites by Optical Thermographic methods","authors":"W. Świderski","doi":"10.1109/ICECCME52200.2021.9590993","DOIUrl":"https://doi.org/10.1109/ICECCME52200.2021.9590993","url":null,"abstract":"CFRP (Carbon Fibre Reinforced Plastic) composites are increasingly used in a variety of applications. N on-destructive testing methods are used for evaluating their condition both as a finished product and during their use. Damage that may occur in these types of composites includes air bubbles, nonuniform arrangement of fibres, regions of fibres not saturated with resin, delamination, and micro-cracks. Various methods of non-destructive testing are used to detect defects in such structures among the most effective of which are infrared thermography methods, the most common being optical heating with various types of lamps and the method of optical lock-in. Pulsed thermography is one of active IR techniques in which a surface of tested material is stimulated by a short heat pulse and the thermal response of the material is analysed. Flash thermography are used when the specimen is stimulated using a short energy pulse. The response contains information about subsurface material defects. After the heat pulse the temperature decrease rate is different on surface over defect in comparison to that over the sound material. In lock-in thermography, an amplitude modulated heat wave is applied to the inspected specimen in steady state. This paper seeks to compare the results obtained from pulsed and flash thermography with results from using optical lock-in thermography. The paper presents selected results of defect detection in a multilayer CFRP composite structure. The tests were carried out on a sample consisting of three plates made of CFRP connected with resin, in which the inner middle layer is made of four non-adherent elements.","PeriodicalId":102785,"journal":{"name":"2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124834339","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

Taormina: A LoRa-based localization scheme for smart road scenarios Taormina:基于lora的智能道路场景定位方案

2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2021-10-07 DOI: 10.1109/ICECCME52200.2021.9591156

Francesco Mazzola, Stefano Giglio, A. Brincat, Salvatore Quattropani, R. Avanzato, F. Beritelli, G. Morabito

引用次数: 1

A Power Model for Monitoring Environmental Parameters on the Edge 边缘环境参数监测的功率模型

2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2021-10-07 DOI: 10.1109/ICECCME52200.2021.9590994

V. Hurbungs, T. P. Fowdur, V. Bassoo

{"title":"A Power Model for Monitoring Environmental Parameters on the Edge","authors":"V. Hurbungs, T. P. Fowdur, V. Bassoo","doi":"10.1109/ICECCME52200.2021.9590994","DOIUrl":"https://doi.org/10.1109/ICECCME52200.2021.9590994","url":null,"abstract":"In the Internet of Things, connected devices capture real-time data which is sent to the Fog or Cloud layer for processing. The transfer of large data volumes is subject to latency and variable transfer rates. Edge computing is an emerging trend that aims at processing data nearer to its source thereby reducing data transfer and the need for continuous connectivity. The main contribution of this paper is to investigate the power requirements of a battery-powered Raspberry Pi which acts as an Edge node. The latter monitors essential environmental parameters such as air temperature, air humidity, soil moisture and light intensity. The sensors are connected to an Arduino interfaced with the Raspberry Pi. A software-based power model relative to CPU utilization is proposed to measure the power consumption of the Raspberry Pi. A Java program is used to capture and save the sensor values in a database for further analysis. Experiments demonstrate that the power usage increases linearly with CPU utilization. The proposed power model has a root mean squared error of 0.023 and 0.036 respectively when one and two Arduinos are connected. The power requirement of a single Raspberry Pi with four Arduinos is estimated to be 2.58 Watt when the Java process is running. It is also projected that a 6,500 mAh battery can power this type of environmental setup that monitors plant growth for 12 hours.","PeriodicalId":102785,"journal":{"name":"2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126850891","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: 2

Integration of the quality control process into a 4.0 production system 将质量控制流程整合到4.0生产系统中

2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2021-10-07 DOI: 10.1109/ICECCME52200.2021.9591037

Gelareh Najmi, K. Benfriha, Quentin Charrier, Marwan El Helou, Chawki El Zant, Zaynab Zouhal, Omar El Assal ISC

{"title":"Integration of the quality control process into a 4.0 production system","authors":"Gelareh Najmi, K. Benfriha, Quentin Charrier, Marwan El Helou, Chawki El Zant, Zaynab Zouhal, Omar El Assal ISC","doi":"10.1109/ICECCME52200.2021.9591037","DOIUrl":"https://doi.org/10.1109/ICECCME52200.2021.9591037","url":null,"abstract":"Industry 4.0 has transformed manufacturing systems by introducing new functionalities that improve manufacturing processes' operational efficiency and allow mass customization under intelligent software control. The visible development in the Internet of Things (IoT) and Wireless Sensor Networks (WSN) has made INDUSTRY 4.0 significantly affect the manufacturing industry in all aspects, including logistics to quality control. Manufacturing industries will no longer take quality management tests in a separate metrology segment but instead on the manufacturing line in real-time. Quality control systems have progressed technologically in recent years, especially through laser or optical measurements. However, these systems still suffer from some incompatibilities with production systems 4.0, especially in terms of interoperability and information exchange, which are the guiding design principles for industrialization 4.0 initiatives. Quality control is an important phase of the manufacturing process, and fully integrating it into a production line is a significant challenge for intelligent and autonomous execution. In this paper, a use case regarding quality control and assurance in the production platform 4.0 is described to present how a QC system could be integrated into a manufacturing system and compatible with the industry 4.0 principles. The quality control process is performed by implementing a 3D scanner, the Faro 3D imager Cobalt, and software named PolyWorks-InspectorTM installed on a host computer to which the scanner is also connected. Therefore, this paper presents an application of the concept of quality 4.0 in advanced manufacturing systems.","PeriodicalId":102785,"journal":{"name":"2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115525545","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

An Annular SIW Slot Array Antenna in X-Band x波段环形SIW槽阵天线

2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2021-10-07 DOI: 10.1109/ICECCME52200.2021.9590997

S. Talebi, N. Amiri

引用次数: 0

Power Kite Renewable Energy Production in Mauritius 毛里求斯的电力风筝可再生能源生产

2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2021-10-07 DOI: 10.1109/ICECCME52200.2021.9590966

A. Boretti

引用次数: 0