2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM)最新文献_第2页

Improving the Engineering Process of Control Systems Based on Digital Twin Specifications 基于数字孪生规范的控制系统工程流程改进

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965259

Andreas Lober, J. Lehmann, Tim Häußermann, J. Reichwald, H. Baumgärtel

引用次数: 4

A Low-Cost Real-time Road Surface Condition Monitoring and Alert System 一种低成本的路面状况实时监测与预警系统

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965242

V. Bassoo, Y. Beeharry, R. Ramjug-Ballgobin, Mozammeer Deenmahomed, Karan Soin

{"title":"A Low-Cost Real-time Road Surface Condition Monitoring and Alert System","authors":"V. Bassoo, Y. Beeharry, R. Ramjug-Ballgobin, Mozammeer Deenmahomed, Karan Soin","doi":"10.1109/ELECOM54934.2022.9965242","DOIUrl":"https://doi.org/10.1109/ELECOM54934.2022.9965242","url":null,"abstract":"A good transportation system is essential to modern society. Unfortunately, road networks deteriorate rapidly because of a range of reasons, namely wear and tear caused by the continuous and heavy flow of vehicles, weather elements such as heavy rain and high temperature and various excavation works that are carried out on the roads. Bad roads lead to accidents, damage to vehicles and increased fuel consumption. Therefore, the monitoring of road quality is crucial. This paper proposes a low-cost prototype that can be implemented in any vehicle. The device collects and transmits data on road quality to a cloud platform, where analytics is performed to assess and classify road condition. The pothole locations are viewable on a web page. While travelling, drivers receive real-time sound alerts on their mobile phones to warn them of imminent degradation in the road network, such as potholes. An Android application has been developed to synchronize with the database via the API and send real-time and up-to-date notifications to road users whenever they approach such areas. Authorities can also use the system to grasp the quality of the road network and automatically identify problems that may require immediate repair.","PeriodicalId":302869,"journal":{"name":"2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM)","volume":"2 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":"127726538","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

Comparative study of throttling and variable speed drive operation of parallel pumps for cooling stations in sugar production 制糖冷却站并联泵节流与变速驱动运行的比较研究

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965256

Daren Soobrayen, I. Jahmeerbacus, Paramasiven Caremben

引用次数: 0

5G mobile networks and Digital Twins concept: Research challenges in network DT emulation 5G移动网络与数字孪生概念:网络DT仿真中的研究挑战

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965265

V. Pantovic, D. Milovanovic, Dusan Starcevic, Z. Bojkovic

引用次数: 0

A comparative analysis of Maximum Power Point Tracking (MPPT) Techniques of a Solar Panel 太阳能电池板最大功率点跟踪(MPPT)技术比较分析

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965223

Yogindersing Gajadur, S. Hassen

{"title":"A comparative analysis of Maximum Power Point Tracking (MPPT) Techniques of a Solar Panel","authors":"Yogindersing Gajadur, S. Hassen","doi":"10.1109/ELECOM54934.2022.9965223","DOIUrl":"https://doi.org/10.1109/ELECOM54934.2022.9965223","url":null,"abstract":"A photovoltaic panel operates along a non-linear Power-Voltage (P-V) curve. When a load is directly connected to the photovoltaic (PV) panel, the output voltage of the panel changes with the delivered current. The panel’s P-V characteristic shows that the power it delivers is maximum at one particular operating combination of voltage and current, called the Maximum Power point (MPP). However, this MPP is not static and it shifts with varying loads as well as due to changes in temperature, solar irradiance level. This paper compares the performance of three MPPT techniques namely, Perturb and Observe (P&O), Sliding Mode Control (SMC) and Fractional Short-Circuit Current (FSCC) of a given PV system through simulation. The PV system is modeled in MATLAB/Simulink environment and it consists of a 20 W PV module supplying power to a resistive load through a DC-DC Boost converter. Algorithms of the three aforementioned MPPT control techniques (PO, FSCC, and SMC) are developed and simulated under changing solar irradiance level and their performances are compared. It was observed that Sliding Mode Control technique has the fastest tracking time and produced the least oscillations at steady state.","PeriodicalId":302869,"journal":{"name":"2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM)","volume":"46 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":"131621674","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 in Web Applications: A Comparative Analysis of Key SQL Injection Detection Techniques Web应用程序中的安全性:关键SQL注入检测技术的比较分析

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965264

Karel Ronan Veerabudren, Girish Bekaroo

{"title":"Security in Web Applications: A Comparative Analysis of Key SQL Injection Detection Techniques","authors":"Karel Ronan Veerabudren, Girish Bekaroo","doi":"10.1109/ELECOM54934.2022.9965264","DOIUrl":"https://doi.org/10.1109/ELECOM54934.2022.9965264","url":null,"abstract":"Over the years, technological advances have driven massive proliferation of web systems and businesses have harbored a seemingly insatiable need for Internet systems and services. Whilst data is considered as a key asset to businesses and that their security is of extreme importance, there has been growing cybersecurity threats faced by web systems. One of the key attacks that web applications are vulnerable to is SQL injection (SQLi) attacks and successful attacks can reveal sensitive information to attackers or even deface web systems. As part of SQLi defence strategy, effective detection of SQLi attacks is important. Even though different techniques have been devised over the years to detect SQLi attacks, limited work has been undertaken to review and compare the effectiveness of these detection techniques. As such, in order to address this gap in literature, this paper performs a review and comparative analysis of the different SQLi detection techniques, with the aim to detect SQLi attacks in an effective manner and enhance the security of web applications. As part of the investigation, seven SQLi detection techniques including machine learning based detection are reviewed and their effectiveness against different types of SQLi attacks are compared. Results identified positive tainting and adoption of machine learning among the most effective techniques and stored procedures based SQLi as the most challenging attack to detect.","PeriodicalId":302869,"journal":{"name":"2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM)","volume":"7 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":"130544426","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

Torque Ripple Reduction of Switched Reluctance Motor Topologies Parameterized with FEM Data for Electromechanical Brake System 基于有限元数据参数化的开关磁阻电机机电制动系统转矩脉动抑制

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965232

Chiweta E. Abunike, O. Okoro, Imiocent E. Davidson, U. B. Akuru, Aphale S. Sumeet

{"title":"Torque Ripple Reduction of Switched Reluctance Motor Topologies Parameterized with FEM Data for Electromechanical Brake System","authors":"Chiweta E. Abunike, O. Okoro, Imiocent E. Davidson, U. B. Akuru, Aphale S. Sumeet","doi":"10.1109/ELECOM54934.2022.9965232","DOIUrl":"https://doi.org/10.1109/ELECOM54934.2022.9965232","url":null,"abstract":"This paper presents the influence of 6/4 and 12/8 switched reluctance motor (SRM) topologies on the motor torque ripples of electromechanical brake system. The SRM drive was developed on MATLAB/SIMULINK platform. The SRM models were parameterized with FEM data of the motor magnetic flux as a function of current and rotor angle. These data were computed by 2D electromagnetic field finite element tool, MotorSolve. The unaligned inductances of 6/4 SRM and 12/8 SRM at 200 A were 1.31 mH and 2 mH, respectively, while their aligned inductances were 2. 5mH and 3. 82mH, respectively. The obtained simulation results showed that 12/8 SRM has better response in terms of torque ripple reduction over wide speed range. Furthermore, the influence of the stator pole embrace on torque ripples was studied. Simulation results depicted that the torque ripples of both topologies can be reduced by changing their stator pole embrace from 0.45 to 0.50. There were 44.5 % and 46.3 % reductions in torque ripples of 6/4 and 12/8 SRM respectively, considering the two stator pole embraces at speed of1500 rpm and load torque of15 Nm. These findings indicate that the 12/8 SRM design is optimal in electromechanical brake system in terms of torque ripples minimization.","PeriodicalId":302869,"journal":{"name":"2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM)","volume":"1 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":"130993116","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

Unexpected Analog Signal Change Detector Based on Memristive System 基于忆阻系统的模拟信号异常变化检测器

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965267

J. Vavra, Zdeněk Kohl, M. Kyselak, K. Slávicek, David Grenar

引用次数: 0

Latency Components and Analysis in 5G New Radio 5G新无线电中的延迟成分及分析

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965239

M. Indoonundon, T. P. Fowdur

引用次数: 0

Long-Term and Short-Term Energy Prediction using BIM Energy Simulations and Machine Learning Techniques 使用BIM能源模拟和机器学习技术进行长期和短期能源预测

2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) Pub Date : 2022-11-22 DOI: 10.1109/ELECOM54934.2022.9965261

R. A. Ah King, B. Rajkumarsingh, Yashtir Gopee

{"title":"Long-Term and Short-Term Energy Prediction using BIM Energy Simulations and Machine Learning Techniques","authors":"R. A. Ah King, B. Rajkumarsingh, Yashtir Gopee","doi":"10.1109/ELECOM54934.2022.9965261","DOIUrl":"https://doi.org/10.1109/ELECOM54934.2022.9965261","url":null,"abstract":"Buildings consume the largest share of electricity in a country’s power grid. There is an ongoing challenge to reduce the energy consumption of buildings. One solution is efficient management of the different systems in the building such as HVAC systems to reduce energy consumption while maintaining the comfort level of people. For proper automation of the systems, there is a need to forecast the energy consumption of a building both in the long term and the short term. The Professor Sir Edouard Lim Fat Engineering Tower building was modelled on Autodesk Revit and energy simulations were performed on the model using Autodesk Green Building Studio. The simulation results were then compared to actual energy consumption. The same building was also used to test machine learning techniques; Gradient Boosting Machine, Support Vector Machine and Deep Neural Network ability to perform short-term energy prediction using data about energy consumption, weather and ambient environment of the building. It was observed that energy simulations overestimated the actual energy consumption by 27%, 29.6%, 59.7% and 60.6% for the months of October, November, December and January respectively. On the machine learning side, Gradient Boosting was observed to outperform SVM and DNN in training time, RMSE and Coefficient of Determination.","PeriodicalId":302869,"journal":{"name":"2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM)","volume":"17 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":"125142500","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