2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM)最新文献_第3页

Combatting online harassment by using transformer language models for the detection of emotions, hate speech and offensive language on social media 通过使用变形语言模型来检测社交媒体上的情绪、仇恨言论和攻击性语言，打击网络骚扰

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965237

Doorgesh Sookarah, Loovesh S. Ramwodin

{"title":"Combatting online harassment by using transformer language models for the detection of emotions, hate speech and offensive language on social media","authors":"Doorgesh Sookarah, Loovesh S. Ramwodin","doi":"10.1109/ELECOM54934.2022.9965237","DOIUrl":"https://doi.org/10.1109/ELECOM54934.2022.9965237","url":null,"abstract":"In these contemporary times, social media is omnipresent and most people adhere to at least one of these digital platforms. Social entertainment generates an enormous amount of data and this is an unparalleled opportunity for data scientists and linguistic experts. These factors have renewed the interest in Natural Language Processing techniques and as such, there is a continuous increase in the number of publications that deal with the topic of Tweet classification using machine learning models. In this paper, experiments performed by the TweetEval team from the University of Cardiff have been studied and expanded upon. These tasks include emotion detection, offensive language identification and hate speech detection. The decision was made to focus on these specific classification tasks as they directly relate to unsought behaviours such as online harassment. This research endeavour involved building and testing a transformer-based language model which is capable of matching the performance of TweetEval. The aim of this study is therefore to identify common limitations to such models and how these can be circumvented to effectively combat phenomenon such as cyberbullying and online abuse using machine learning. From the results that were obtained, the developed BERT model performed comparatively well to other similar algorithms for all tasks as the obtained results were an F1-Score of 0.51, 0.76 and 0.80 for hate speech, emotion detection and offensive language respectively.","PeriodicalId":302869,"journal":{"name":"2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131490047","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

Dual Port Component Emulator and its usage for Electronic Equipment Functional Verification 双端口元件仿真器及其在电子设备功能验证中的应用

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965253

Zdeněk Kohl, J. Vavra, Jiri Dolezal

引用次数: 0

An adapted machine learning algorithm based-Fingerprints using RLS to improve indoor Wi-fi localization systems 一种基于机器学习算法的指纹识别改进室内Wi-fi定位系统

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965236

Mariame Niang, P. Canalda, Massa Ndong, F. Spies, I. Dioum, I. Diop, Mohamed A. Abd El Ghany

{"title":"An adapted machine learning algorithm based-Fingerprints using RLS to improve indoor Wi-fi localization systems","authors":"Mariame Niang, P. Canalda, Massa Ndong, F. Spies, I. Dioum, I. Diop, Mohamed A. Abd El Ghany","doi":"10.1109/ELECOM54934.2022.9965236","DOIUrl":"https://doi.org/10.1109/ELECOM54934.2022.9965236","url":null,"abstract":"Indoor localization has gained popularity in recent years. Various technologies have been proposed, but many of them do not give good accuracy without high-cost equipment. However, the Wi-Fi signal-based fingerprinting technique is widely employed for indoor locations because of its simplicity and low hardware requirements. Nevertheless, the Received Signal Strength Indicator (RSSI) values are affected by random fluctuations caused by fading and multi-path phenomena, resulting in decreased accuracy. In this paper, we propose indoor localization using Machine Learning (ML) algorithms such as Random Forest (RF), Extreme Gradient Boosting (XGBoost), K-Nearest Neighbors (KNN), and Support-Vector Machine (SVM) combine with a Recursive Least Squares (RLS) filter to increase the accuracy. The first method involves the use of ML algorithms to build an indoor positioning model. The second approach is to apply the RLS filter to reduce the noise in the data as the environment changes. The performance of these methods is evaluated through extensive real-time indoor experiments. We found that the proposed approach is an improvement over the state-of-the-art and recently published work.","PeriodicalId":302869,"journal":{"name":"2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117116907","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

Performance Evaluation Between Tiny Yolov3 and MobileNet SSDv1 for Object Detection 微型Yolov3和MobileNet SSDv1在目标检测中的性能评价

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965250

Jahib Nawfal, A. Mungur

{"title":"Performance Evaluation Between Tiny Yolov3 and MobileNet SSDv1 for Object Detection","authors":"Jahib Nawfal, A. Mungur","doi":"10.1109/ELECOM54934.2022.9965250","DOIUrl":"https://doi.org/10.1109/ELECOM54934.2022.9965250","url":null,"abstract":"Object detection plays a crucial role in the field of computer vision. It is viewed as a challenging task as it identifies instances of objects from a particular class in digital images or videos. However, since the invention of deep learning methods, the performance of object detection has significantly improved. They are now able to learn semantic, high-level, and deeper features to address existing issues found in traditional architectures. In this paper, an evaluation framework has been proposed to assess the performance of Tiny Yolov3 and MobileNet SSD v1 for detecting people. In addition, both Tiny Yolov3 and MobileNet SSD v1 consist of a lightweight architecture that eliminates the expensive computation to run the models in real time detection using a NON-GPU platform. A fair comparison was made between the pre-trained models by using the two available datasets which are COCO and PASCAL VOC. The model’s performance was evaluated in a classroom scenario, where people were detected and counted. A mobile application was built to view the detection results and its performance was assessed when used with deep learning models. To have a more expansive evaluation, different parameters such as platform, cameras, and conditions were considered. From those parameters, different test cases were formulated and tested to determine which models excel the most and where. Following the evaluation, this paper proposes an evaluation framework for MobileNet SSD v1 and Tiny Yolov3 and provides a domain recommendation for future applications.","PeriodicalId":302869,"journal":{"name":"2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123795580","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

Non-Machine Learning Cell Outage Compensation for a Three Tier Heterogeneous Network 三层异构网络的非机器学习单元中断补偿

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965235

Aicha Jahangeer, V. Bassoo

引用次数: 1

Smart Real Time System For Air Pollution Monitoring 智能实时空气污染监测系统

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965229

Baboo Sivrajsingh Loderchand, R. A. Ah King, B. Rajkumarsingh

引用次数: 0

Smart Water Management System for an Apartment 公寓智能水管理系统

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965247

Ackbarally Bassirr, A. Murdan

{"title":"Smart Water Management System for an Apartment","authors":"Ackbarally Bassirr, A. Murdan","doi":"10.1109/ELECOM54934.2022.9965247","DOIUrl":"https://doi.org/10.1109/ELECOM54934.2022.9965247","url":null,"abstract":"Water is an essential requirement for all living things. With the exponential growth of the human population, the need for water resource conservation is becoming increasingly important. Many water management systems have been proposed in the past. The pursuit of a smart water management system is gaining ground with the advent of the Internet of Things (IoT). This project aims at designing and implementing a smart water management system based on IoT for an apartment. The main requirements of the system are low cost, effectiveness and reliability. The project comprises of monitoring the different parameters with regards to water management and transmitting the data to a smartphone. Various parameters such as water level and flow rate are measured using appropriate sensors. The in-built Wi-Fi connection capability of the NodeMCU microcontroller is used to transmit the data to the Blynk application dashboard. The system is also designed to alert the user on his smartphone in case any fault such as low water level or water leakage is detected. A solenoid valve has also been implemented in the system to allow the user to control the flow of water in case of emergency. Furthermore, the system includes an LCD and buzzer so that the system can still be usable in case there is no WIFI connection.","PeriodicalId":302869,"journal":{"name":"2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM)","volume":"32 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123228236","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

Optimisation Techniques for Load Frequency Control 负载频率控制的优化技术

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965244

Muhammad Hasan Motalib Soorefan, R. Ramjug-Ballgobin

引用次数: 0

Artifact for Strategic Decision-Making by Telecommunication Firms 电信企业战略决策的人工制品

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965246

Salem Alghamdi, B. Hilton, Yaser Alhasawi, Anthony Corso, June K. Hilton

{"title":"Artifact for Strategic Decision-Making by Telecommunication Firms","authors":"Salem Alghamdi, B. Hilton, Yaser Alhasawi, Anthony Corso, June K. Hilton","doi":"10.1109/ELECOM54934.2022.9965246","DOIUrl":"https://doi.org/10.1109/ELECOM54934.2022.9965246","url":null,"abstract":"Due to the massive competition, the business environment is getting dynamic and as well as complicated. To win this competition, a successful business needs to develop strategic decisions by exploring all the available information. To this end, competitive intelligence is one of the appropriate tools to reach this goal. In this paper, we proposed an artifact for strategic decision-making by telecommunication firms. A detailed comparison is conducted among the firms and geographical areas in the United States. The study includes Spectrum (Charter Communications), Verizon Communications Inc, Xfinity (Comcast Corporation), and Cox Communications. We conduct qualitative and quantitative approaches to evaluate the proposed artifact. The findings showed positive results towards using the artifact and it exhibits the potential to be effective with respect to business decision-making in the telecommunication industry. Compared to the benchmark data, the achieved results shows that the participants experienced in the proposed artifact had an excellent experience with respect to the stimulation’s novelty.","PeriodicalId":302869,"journal":{"name":"2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114926808","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

Development of Hand-to-Hand Human Body Electric Circuit Model with optimisation 基于优化的手对手人体电路模型的开发

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965224

Deepam Yasvant Ambelal, M. Shuma-Iwisi, A. Mohamed

引用次数: 0