2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)最新文献_第5页

Explore the impact of acoustic signal in shallow water channel with normal kernel density estimator 利用正态核密度估计器探讨浅水通道中声信号的影响

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/ICECCME55909.2022.9987829

Sumithra Ganapathi, Meganathan Deivasigamani

{"title":"Explore the impact of acoustic signal in shallow water channel with normal kernel density estimator","authors":"Sumithra Ganapathi, Meganathan Deivasigamani","doi":"10.1109/ICECCME55909.2022.9987829","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9987829","url":null,"abstract":"For reliable communication in shallow water, knowledge about the channel must be available at the receiver. In practice, behaviour of channel is unpredictable due to the time varying nature of underwater environment. The acoustic signals, 1 kHz and 1.5 kHz with various input strengths is transmitted to different transmission ranges in underwater test bed. Non-uniform oscillatory motion of the acoustic signal and its impact identified by normal kernel density estimator (NKDE) or parzen window density estimator is presented in this paper. The channel estimates are analyzed using bandwidth parameter, h arrived from estimator. The low value of h for less input signal strengths notifies coarse presentation of channel estimates. It exhibits more prevalence of compression in the oscillatory motion of communicated signal through the underwater channel. With the information of channel estimate distribution, the low frequency signal as well as the input signal strength which is better received is determined. Our measurement results show, that the high attenuation noticed for high input signal strength. This intuition can improve the underwater system performance for mobile platforms when operated at lower voltages.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"39 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":"130748299","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

Emulated Memristive System Based Passive MIN/MAX Circuit 基于无源最小/最大电路的仿真记忆系统

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/ICECCME55909.2022.9988188

Zdeněk Kohl, J. Vavra, Jan Buzga

引用次数: 0

Pixel-Changes-Based RGB Channels for a Novel Underwater Image Dehazing Technique 基于像素变化的RGB通道水下图像去雾技术

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/ICECCME55909.2022.9988671

Fayadh S. Alenezi

{"title":"Pixel-Changes-Based RGB Channels for a Novel Underwater Image Dehazing Technique","authors":"Fayadh S. Alenezi","doi":"10.1109/ICECCME55909.2022.9988671","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9988671","url":null,"abstract":"The field of underwater imaging is plagued by the problem of haze, which is an obscuring effect caused by water molecules and suspended particles absorbing and scattering light rays before the rays reach the camera. This proposed technique exploits individual RGB color channels and analyzes small pixel deltas in order to dehaze underwater images and increase perceived visual accuracy. A GARCH model is employed to estimate transmission maps because it can accurately estimate human visual perception by exploiting the volatility of pixel changes within color channels that result from changes in pixels between enhanced image features. Background light is estimated using differential light emissions in different color wavelengths. The proposed system is evaluated based on entropy, UIQMnorm, and UCIQE, then compared with existing state-of-the-art methods. The results demonstrate that this technique is superior in both visual analysis and performance evaluation metrics. Future research should examine the effect of GARCH alone on the algorithm and also explore the use of other networks such as Hopfield neural networks to alternatively implement the algorithm.","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":"133029376","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

RTV Coated Glass Insulators Applied in High Humidity Areas to Reduce the Risk of Transmission Line Outage RTV镀膜玻璃绝缘子应用于高湿地区，降低输电线路停电风险

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/ICECCME55909.2022.9987949

T. Mustafa, L. Meyer, S. Cabral, H. Almaguer, L. Puchale, J. E. M. Cereia, G. B. Vier, Alysson Caye

{"title":"RTV Coated Glass Insulators Applied in High Humidity Areas to Reduce the Risk of Transmission Line Outage","authors":"T. Mustafa, L. Meyer, S. Cabral, H. Almaguer, L. Puchale, J. E. M. Cereia, G. B. Vier, Alysson Caye","doi":"10.1109/ICECCME55909.2022.9987949","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9987949","url":null,"abstract":"This paper presents a successful trial that has been applied by a Brazilian power utility company to mitigate the excessive outage rate due to the air humidity of a 230 kV power transmission line. In this study, it was used insulators with Room Temperature Vulcanized Silicone Rubber. This transmission line has experienced a history of numerous outages during winter when humidity is high. Most of the outages have been identified as caused by sudden flashover and associated single-phase faults randomly located over the line length, which motivated the development of studies to identify their main reasons. A milestone study identified the correlation between the behavior of the relative air humidity and the rate of the line's protection tripping. Based on that and other studies, this work brings the analysis of the performance of four different string configurations using RTV coated insulators as a permanent solution to mitigate the relatively high rate of line outages.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"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":"133696937","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

Security Considerations for IEEE 802.1 Time-Sensitive Networking in Converged Industrial Networks 融合工业网络中IEEE 802.1时间敏感网络的安全考虑

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/ICECCME55909.2022.9988000

Florian Fischer, D. Merli

{"title":"Security Considerations for IEEE 802.1 Time-Sensitive Networking in Converged Industrial Networks","authors":"Florian Fischer, D. Merli","doi":"10.1109/ICECCME55909.2022.9988000","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9988000","url":null,"abstract":"Cyber security becomes more and more relevant for the domain of Industrial Control System (ICS). An aspect, which increases the attack surface of those devices is the trend of Industry 4.0 and the associated network interconnections. While those devices were air-gapped and communication was clearly segregated, new technologies arise, which break up with this concept, since horizontal and vertical interconnection is essential for future use cases in ICS. Time Sensitive Networking (TSN) represents such a new technology, which allows the transmission of hard real-time traffic, commonly present within the field level communication, converged with other communication streams, e.g. non-time critical best-effort traffic, on the same wire. On the one hand this approach brings many benefits for ICS environments, e.g. predictive maintenance to reduce unplanned downtime, logging and others. But on the other hand this technology enlarges the attack surface of ICS and must therefore be analyzed from a cyber security perspective. For instance the transmission of real-time traffic can be disturbed easily by various network-based attacks, which makes protective measures necessary. Theretore, within this work, security considerations for the use of TSN within ICS applications are presented, suitable protective measures as well as potential enhancements are depicted. The threats and mitigations presented within this work are intended to draw attention towards cyber security within TSN based converged networks and provide an overview for possible protection strategies.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"93 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":"133269403","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: 4

Image Translation of Bangla and English Sign Language to Written Language using Convolutional Neural Network 基于卷积神经网络的孟加拉语和英语手语图像到书面语的翻译

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/ICECCME55909.2022.9988088

Muttaki Islam Bismoy, Fahim Shahrear, Anirban Mitra, D. M. Bikash, Ferdousi Afrin, Shaily Roy, Hossain Arif

{"title":"Image Translation of Bangla and English Sign Language to Written Language using Convolutional Neural Network","authors":"Muttaki Islam Bismoy, Fahim Shahrear, Anirban Mitra, D. M. Bikash, Ferdousi Afrin, Shaily Roy, Hossain Arif","doi":"10.1109/ICECCME55909.2022.9988088","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9988088","url":null,"abstract":"One particular thing that differentiates humans from other species is their abilities to interact. to communicate with others, humans invented languages as units. There are 6500 languages in this world and English has been established as a global language. However, there are a ton of physically disabled human beings who are deprived of expressing their emotions through verbal language. Therefore, sign language has been discovered by expressing feelings with the help of signs which is mainly done by moving body parts: hands in particular. Although, it is so rare to find a research where both Bangladeshi Sign Language (BdSL) and American Sign Language (ASL) is translated, previously some of the prominent researchers worked on primary or secondary ASL and BdSL datasets separately and obtained high accuracy (> 97%) based on their algorithmic approaches. The executed system focuses on implementing both of the aforementioned sign languages combinedly as well as working on both the primary and secondary datasets using single algorithmic approach in order to resolve the two way communication and a better understanding of communicating through sign language. In this thesis, the advantages of real world pictures of Bangladeshi Sign Languages will be used to run an algorithm which will convert sign language to written language using Sequential Convolutional Neural Network method. The system will be able to detect both BdSL and ASL regarding any background with the accuracy of 95.23% and 98.45% respectively.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"58 6 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":"133304112","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

Big Data for Real-Time Processing on Streaming Data: State-of-the-art and Future Challenges 流数据实时处理的大数据:现状和未来挑战

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/ICECCME55909.2022.9987770

S. Ashraf, Y. Afify, R. Ismail

{"title":"Big Data for Real-Time Processing on Streaming Data: State-of-the-art and Future Challenges","authors":"S. Ashraf, Y. Afify, R. Ismail","doi":"10.1109/ICECCME55909.2022.9987770","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9987770","url":null,"abstract":"As many commercial businesses aspire for a competitive edge, real-time analysis on streaming data employing a big data methodology has lately become widespread. The ability to efficiently arrange massive amounts of data to make a business decision empowers data warehousing. Dealing with this sort of data poses considerable obstacles; as a result, several ways of assessing data in the form of streams have been created. Many solutions for dealing with enormous volumes of data and making decisions based on off-line batch processing have been investigated. In this paper, we explore the most recent developments in big data approaches for real-time analysis on streaming data to answer four research questions related to streaming data source, stream pre-processing, types of streaming data processing, used machine learning model, in addition to the validation and evaluation criteria. The system architecture associated with the used big data tools, the architecture hardware specs as well as other current platforms appropriate for large data streaming analytics are also considered. Furthermore, we outline numerous difficulties encountered in big data stream processing. The purpose of this review is to fill a gap in the surveyed area by offering thorough evaluation of various big data frameworks, architectures, and categories for cutting-edge approaches, as well as critical analyses of their performance and discussions of their applications, trends, and future directions to serve as guides for readers in this burgeoning study area.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"2000 23","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132679124","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

Multi-Purpose Messages: Intelligent Feedback Providing in Vehicular Broadcast Environment 多用途信息:车载广播环境下的智能反馈

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/ICECCME55909.2022.9987966

Christopher Lehmann, E. Rupp, Huanzhuo Wu, Andreas Ingo Grohmann, F. Fitzek

{"title":"Multi-Purpose Messages: Intelligent Feedback Providing in Vehicular Broadcast Environment","authors":"Christopher Lehmann, E. Rupp, Huanzhuo Wu, Andreas Ingo Grohmann, F. Fitzek","doi":"10.1109/ICECCME55909.2022.9987966","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9987966","url":null,"abstract":"In the era of globalization, the scale of transportation segments is increasing rapidly. The related resource consumption, such as fuel, is an urgent target for reduction in the context of carbon neutrality. The platooning application promises to significantly reduce fuel consumption in the transportation segment, especially for the transport of goods in heavy-duty trucks. However, maintaining stable connectivity between the vehicles in the platoon is challenging. Especially as platoons tend to generate much data, which can lead to channel congestion in dense traffic scenarios. To address this challenge, we propose a broadcast scheme that exploits the platooning-specific topology to enable Ultra-Reliable Low-Latency Communication (URLLC) data exchange with low overhead. Specifically, our proposed Multi-Purpose Message (MPM) approach enables data to flow in the downstream direction while generating an intelligent feedback mechanism for error detection and error correction in the upstream direction. To evaluate the concept, we present three strategies to optimize the scheme for latency and reliability.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"30 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":"127867599","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

Temporal Attention for Monocular Depth Estimation in Aerial Scenarios 航空场景下单目深度估计的时间关注

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/ICECCME55909.2022.9988383

Vlad-Cristian Miclea, S. Nedevschi

{"title":"Temporal Attention for Monocular Depth Estimation in Aerial Scenarios","authors":"Vlad-Cristian Miclea, S. Nedevschi","doi":"10.1109/ICECCME55909.2022.9988383","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9988383","url":null,"abstract":"Monocular depth estimation (MDE) is a key task for a large set of computer vision applications, convolutional neural networks (CNNs) being nowadays employed for this task. The objective of measuring the world from a single image is cumbersome, especially in case of highly complex scenarios where there is a lack in scene structure. State of the art deep learning-based methods cope with this problem by employing very powerful feature extractors, mixed with additional scene priors such as geometrical or semantic information. The usage of such approaches generally leads to high amounts of resources, computations which make the system incapable for real-time processing. In this work we propose a novel method that tries to account for the time constraints while providing accurate depth maps from a monocular system. Thus, instead of providing geometric or semantic priors which need complex additional processing (generally an additional CNN), we aid the depth estimation process with features extracted and preserved from previous frames. To this end, we propose a novel temporal attention sub-network, that properly extracts the aforementioned features and it combines them with the last available depth map. This sub-network is then inserted into a novel CNN architecture, that proves to generate better depth maps. We test the efficiency of our method on aerial images and obtain an improved accuracy while keeping the amount of resources as low as possible.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"23 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":"131677597","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

ICECCME'22 Organizing Committee icecme '22组委会

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI: 10.1109/iceccme55909.2022.9988343

引用次数: 0