2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)最新文献_第4页

Comparison of PID and EPID Controllers in Self Balancing Robot 自平衡机器人PID与EPID控制器的比较

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125632

Swapna Sanapala, K. Deepa, S. Lekshmi, Alper Nabi Akpolat

{"title":"Comparison of PID and EPID Controllers in Self Balancing Robot","authors":"Swapna Sanapala, K. Deepa, S. Lekshmi, Alper Nabi Akpolat","doi":"10.1109/ICOEI56765.2023.10125632","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125632","url":null,"abstract":"Two wheeled Self balancing robots have become more popular in recent times and used in many applications, commonly used in transportation as these balancing robots are faster and apparently stable. Balancing is achieved by using controllers tuned for the system. Inverted pendulum principle is used in these robots. This paper proposes the use of two control methods, namely Proportional-Integral-Derivative (PID) and Extended PID (EPID), for maintaining the balance of two-wheeled and self-balancing robots, even when slightly tilted, thus preventing them from falling. PID control theory generally depends up on transfer functions, this paper extends the theory using EPID. EPID provides a new perspective on the working principle of PID control and its relationship with other control theories, such as tracking control and disturbance observer. This approach is illustrated using the fundamental principle of inverted pendulum technology. The key advantage of these robots over other mobile robots is their increased stability due to zero turning radius, which allows for smoother rotations during changes in direction.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131697359","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

Crime Forecasting using Interpretable Regression Techniques 使用可解释回归技术预测犯罪

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10126071

Mugisha David, Elizabeth Shirley Mbabazi, J. Nakatumba-Nabende, Ggaliwango Marvin

{"title":"Crime Forecasting using Interpretable Regression Techniques","authors":"Mugisha David, Elizabeth Shirley Mbabazi, J. Nakatumba-Nabende, Ggaliwango Marvin","doi":"10.1109/ICOEI56765.2023.10126071","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10126071","url":null,"abstract":"Over the past years there has been an increase in crimes like theft and burglary, however, this is not evenly distributed because most criminals repeatedly commit crime in the same area until they are arrested. The Pareto principle or the principle of factor sparsity, helps to explain why so many crimes happen in specific places. Fortunately, the field of electronics and informatics has seen a significant advancement in recent times, particularly in the area of artificial intelligence (AI) and its applications. One such application is the use of AI in crime forecasting and analysis, which has the potential to facilitate smart living and smart city initiatives, as well as economic development. This paper presents a study on the use of regression techniques and predictive models, Linear regression, LASSO regression and ridge regression for crime prediction and magnitude estimation, with an average predictive accuracy of 94.0%. The most important features contributing to crime prediction were identified and analyzed using heatmaps thus providing insights for proactive action by crime prevention authorities. Additionally, Local Interpretable Model-agnostic Explanations (LIME) and SHapley Additive explanations (SHAP) were provided to enhance the interpretability and accountability of the developed models. The results of this study have very positive potential implications for smart living and smart city initiatives for developing economies.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115761641","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

High Gain Luo Converter for PV based Electric Vehicle Charging Station 基于光伏的电动汽车充电站高增益变换器

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125588

G. Vasumathi, V. Jayalakshmi, K. Sakthivel

引用次数: 0

Kidney Cancer Detection using Deep Learning Models 使用深度学习模型检测肾癌

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125589

K. Rajkumar, Ravi Teja Sri Ramoju, Tharun Balelly, Sravan Ashadapu, C. Prasad, Yalabaka Srikanth

{"title":"Kidney Cancer Detection using Deep Learning Models","authors":"K. Rajkumar, Ravi Teja Sri Ramoju, Tharun Balelly, Sravan Ashadapu, C. Prasad, Yalabaka Srikanth","doi":"10.1109/ICOEI56765.2023.10125589","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125589","url":null,"abstract":"This study presents two types of Kidney cancer detection one is with the help of images and another one is with the help of blood test samples value. Kidney disease is condition caused either by renal disease of the kidneys. In the present study, Kidney cancer is one of the critical diseases for patient's diagnosis and classification. Early detection and good treatment can avoid or decrease the growth of cancer disease into the final stage where dialysis or renal transplantation is the only way of saving the life of the patient. And another way is with machine learning models with this model the disease at an early stage can be detected, is one of the important tasks in today's world. This research proposed kidney images detection through deep learning models like Convolutional Neural Networks (CNNs), and blood samples dataset values through Artificial Neural Network (ANN) models that can be helpful for the early diagnosis of cancer. The existing studies have mainly used only simple CNN models and have done another classification of kidney images. This research consists of CNN with more convolution layers for classifying images of cancer kidneys and normal kidneys and ANN is used for kidney cancer prediction using dataset values. This research will be helpful for early and accurate diagnosis of kidney cancer to save the lives of many patients. Lastly, there is an application page that contains a code in the backend that predicts whether a person is suffering from a kidney cancer or not.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114974939","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

Intelligent Systems Powered Hourly Attendance Capturing System 智能系统供电每小时考勤记录系统

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125964

Nuzhat Yasmeen, Kishor Kumar Reddy C, Srinath Doss

引用次数: 0

Reduction of Harmonics to Improve Power Quality in Distribution Lines using a Series Active Power Filter 采用串联有源电力滤波器降低谐波以改善配电线路的电能质量

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10126006

T. Madhubabu, Akshaya Anireddy, Naam Sahithi, K. S. Krishna Suman, Sokkam Vikas, KALAGOTLA CHENCHIREDDY

引用次数: 0

Virtual Mouse Input Control using Hand Gestures 使用手势的虚拟鼠标输入控制

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125668

Manish Mishra, Abhishek Gupta, Vishwa V. Mehta, Raju Ranjan

{"title":"Virtual Mouse Input Control using Hand Gestures","authors":"Manish Mishra, Abhishek Gupta, Vishwa V. Mehta, Raju Ranjan","doi":"10.1109/ICOEI56765.2023.10125668","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125668","url":null,"abstract":"Input control using hand gestures is a growing area of research in the field of human-computer interaction (HCI), In this paper, we present the working of the virtual mouse by using hand recognition and its use of only a simple finger gap with no additional hardware requirements to control the cursor of the system. We had the webcam act as an input device that tracked the hand to perform an action. This paper needs a camera-based vision control system that uses finger gestures to control the system and also uses the color tracking technique. The virtual mouse will allow the user to move or navigate the system cursor using finger and hand gestures, and left clicking, right clicking, and dragging can be done using various finger and hand gestures. It will also help transfer files between two systems over the internet. The system uses a low-resolution in-built web camera that works as a sensor and is able to recognize or track the user's hand with colored caps in 2-D (dimensions). Hand gestures are one of the simplest and most interactive ways to perform communication with the user. The output from the in-built camera or webcam is displayed on the screen, and after that, it will track the reference point of the hand and perform movements of the hand to perform the activities. Gesture shape, distance, and position information will be gathered using the hand as a reference point. It helps to improve the interaction between human and computer and makes it more interactive and user friendly.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123446933","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

Human Face Detection and Recognition using Artificial Intelligence 基于人工智能的人脸检测与识别

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10126074

Mandapati Siva Sai Krishna Varma, S. Abhishek, Sujatha Dandu, A. T

引用次数: 2

Map-Reduce Task Scheduling Optimization Techniques: A Comparative Study Map-Reduce任务调度优化技术的比较研究

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125621

Vishal Kumar, Sumit Kushwaha

{"title":"Map-Reduce Task Scheduling Optimization Techniques: A Comparative Study","authors":"Vishal Kumar, Sumit Kushwaha","doi":"10.1109/ICOEI56765.2023.10125621","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125621","url":null,"abstract":"Cloud computing is becoming popular because it offers the pay-as-per-use model with business benefits of enhanced scalability, flexibility, mobility and reliability with cost reduction in use of required resources. Multiple map-reduce sub-tasks from different users use the cloud resources simultaneously. Scheduling these multiple tasks to the available resources is quite challenging. Without optimized scheduling, desired quality of service cannot be achieved. With effective scheduling of map-reduce sub-tasks other parameters of interest like cost, energy consumption and resource usage can be optimized as well. It is obvious that task scheduling optimization on cloud attracted a lot of researchers. Many heuristics, meta-heuristic and their hybridizations were used for scheduling the multiple tasks to available and limited resources of cloud. Use of metaheuristic algorithms in map-reduce task scheduling on cloud showed better results than only heuristic algorithms. Researchers were well realized that by combining the useful features of two or more algorithms, best scheduling solutions can be achieved. Different available hybrid algorithms are reviewed in this study. It will classify the available hybrid algorithms on different parameters for business benefits. it provides the future directions for hybridization of meta-heuristic algorithms for map-reduce task scheduling optimization. In this review different existing models for map-reduce task scheduling optimization in terms of make-span have been explored.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124599358","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

A Web of Things-Specific IFTTT Applet: Integration of a Trigger Service with Action Services 特定于物联网的IFTTT小程序:触发器服务与动作服务的集成

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10126019

Anshio Sv, Abinesh K, Jayanth S, M. M

引用次数: 0