2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT)最新文献_第2页

Rain Predictive Model using Machine learning Techniques 使用机器学习技术的降雨预测模型

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075275

Muhammad Shahbaz Muneer, Syed Muhammad Nabeel Mustafa, Syeda Sundus Zehra, Haniya Maqsood

{"title":"Rain Predictive Model using Machine learning Techniques","authors":"Muhammad Shahbaz Muneer, Syed Muhammad Nabeel Mustafa, Syeda Sundus Zehra, Haniya Maqsood","doi":"10.1109/IMCERT57083.2023.10075275","DOIUrl":"https://doi.org/10.1109/IMCERT57083.2023.10075275","url":null,"abstract":"Climate is rapidly changing around the world. Over time, there have been significant changes in the weather. Rainfall is now erratic due to climate change. The frequency of extreme weather events like droughts and floods has increased due to climate change, necessitating the need for more precise and timely rainfall forecasts. For strategic reasons including agriculture, water resource management, and architectural design, rain forecasting is crucial. The naturally occurring non-stationary component in the rainfall time series impairs model performance for practical hydrologists and drought risk assessors. We present a rain predicting model based on machine learning to address the forecasting issue. In our work, we predict the possibility of rain the next day on the basis of last 10 years' data. The variables that were calculated during the experiments were humidity, pressure, evaporation, sunshine, rainfall, and so on. Random Forest gave the 90% accuracy with 0.904 Area under Curve, highest out of all the algorithms. The model's performance will significantly aid in the rain forecast.","PeriodicalId":201596,"journal":{"name":"2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127194940","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

MOOCs and their contribution to the continuous development of high school teachers mooc及其对高中教师持续发展的贡献

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075306

Daniel Rubén Tacca Huamán, Miguel Angel Alva Rodriguez, Renzo Cuarez Cordero, Helí Alejandro Córdova-Berona, David Guillermo Franco Canaval, Ana Luisa Tacca Huamán

引用次数: 0

Design and Control of a Bionic Leg 仿生腿的设计与控制

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075334

Salman Masroor, Muhammad Arsalan, S. G. Khan, S. H. Shah, Muhammad Shahab Alam, A. Imran

{"title":"Design and Control of a Bionic Leg","authors":"Salman Masroor, Muhammad Arsalan, S. G. Khan, S. H. Shah, Muhammad Shahab Alam, A. Imran","doi":"10.1109/IMCERT57083.2023.10075334","DOIUrl":"https://doi.org/10.1109/IMCERT57083.2023.10075334","url":null,"abstract":"The limb amputation rate around the world is rising due to several reasons. Robotic prosthetic devices are now evolving that assist amputees in walking, picking and grasping objects, climbing stairs, and even running. However, the design and control of these robotic-powered prosthetic devices is still a big challenge. A major problem in the implementation of these devices is their safe interaction with the human amputee. This paper proposes the design and control of a robotic prosthetic knee for lower limb amputees. Design and analysis were carried out in SolidWorks and ANSYS respectively to visualize the device behavior under whole human weight. The prosthetic leg is designed for knee and ankle joints, where the knee joint is an active joint using a hydraulic actuator and the ankle joint is designed as a passive joint for flexion and extension as per the natural gait of a human. The hydraulic actuator acts as a rigid link for supporting the amputee's load; and requires no additional breaking mechanism in case of knee extension beyond the safety range. Finally, a model reference adaptive control is employed to control the torque provided to the knee joint of a prosthetic knee using MATLAB Simulink. The simulation results obtained show validation of the developed model and the controller employed for control of the knee joint.","PeriodicalId":201596,"journal":{"name":"2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121704116","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

Implementation of SVPWM based Multilevel Three Phase Inverter to Reduce THD 基于SVPWM的多级三相逆变器降低THD的实现

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075245

M. Shakir, Saeed Ahmad, Sundas Hannan, Bilal Ahmad, S. Aslam, M. Rizwan

{"title":"Implementation of SVPWM based Multilevel Three Phase Inverter to Reduce THD","authors":"M. Shakir, Saeed Ahmad, Sundas Hannan, Bilal Ahmad, S. Aslam, M. Rizwan","doi":"10.1109/IMCERT57083.2023.10075245","DOIUrl":"https://doi.org/10.1109/IMCERT57083.2023.10075245","url":null,"abstract":"The Multilevel inverter has gained great attention from the academia and industry due to its increased number of applications in the power sector. However, effective control of semiconductor switches plays very crucial role in the output of inverter, as any wrong execution of two switching patterns simultaneously may result in short circuit. Moreover, high frequency switching of these switches cause power losses and harmonic distortion. Soft switching techniques are used to reduce switching losses and consequently improve Total Harmonic Distortion (THD). In this research work, Space Vector Pulse Width Modulation (SVPWM) technique is employed to improve the switching loss and THD of multilevel three phase inverter and consequently increase the efficiency of system. The performance has been investigated in terms of THD, fundamental output line voltage and output line current for multiple resistive loads. The results show that proposed technique has successfully controlled the output in both scenarios and reduced the THD to an acceptable limit of 2.91 %Thus, the results validate that SVPWM is an effective technique for multilevel inverters.","PeriodicalId":201596,"journal":{"name":"2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT)","volume":"885 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131270965","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-feature Integration with Adaptive Learning Based Correlation Filter for Visual Object Tracking 基于自适应学习相关滤波的多特征集成视觉目标跟踪

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075225

Mubashar Masood, G. Raja

引用次数: 0

Customer Segmentation using Machine learning Techniques 使用机器学习技术进行客户细分

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075194

Syed Muhammad Nabeel Mustafa, Asad Akhtar, Joseph Terence Peter Noronha, Muhammad Salman, Mirza Ahsan Baig

引用次数: 0

Network Attack Detection in IoT using Artificial Intelligence 使用人工智能的物联网网络攻击检测

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075102

Muhammad Jahanzaib Gul, Muhammad Khaliq-ur-Rahman Raazi Syed

{"title":"Network Attack Detection in IoT using Artificial Intelligence","authors":"Muhammad Jahanzaib Gul, Muhammad Khaliq-ur-Rahman Raazi Syed","doi":"10.1109/IMCERT57083.2023.10075102","DOIUrl":"https://doi.org/10.1109/IMCERT57083.2023.10075102","url":null,"abstract":"We like to have simple and automated solutions, but these simple and automated solutions in technology could also contains risks if not deal properly. Due to no international standard of compatibility for IoT, security and privacy concerns are there which needs to be focus. There can be multiple types of attack on IoT networks which can damage the device or steal the sensitive information. Therefore, artificial intelligence (AI) techniques has an ability to detect and classify an unknown network behaviour by learning the network attacks patterns based on large volumes of historical data. We considered Aposemat IoT -23 which is a labelled dataset and created in the Avast laboratory. Basically, the goal of this large dataset is to provide labelled and real IoT attacks. In this paper, we used this dataset, considered the relevant workings, investigate the background and implement the machine learning algorithms such as Decision Tree, Random Forest and Naive Bayes. We also compared the accuracy among these machine learning algorithms on the IoT -23 dataset and showed the most efficient machine learning algorithm is Random Forest as per results by using Aposemat IoT -23 dataset, as well as showed feature engineering techniques to preprocess the mentioned dataset for detection and classification of IoT network attacks.","PeriodicalId":201596,"journal":{"name":"2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121900972","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

Examining Malware Patterns in Android Platform using Sufficient Input Subset (SIS) 利用SIS检测Android平台的恶意软件模式

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075203

Farrakh Nazir, Muhammad U. S. Khan, Neeli Khan, Ahmad Fayyaz

引用次数: 0

An Assessment on Internet of Things 物联网评估

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075113

E. Ahmed, Huma Ali Ahmed

引用次数: 0

MIMO Antenna for C-band Applications c波段应用的MIMO天线

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075193

Muhammad Abdullah Arshad, M. Zahid, Y. Amin, S. S. Jaffer

引用次数: 1