2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)最新文献_第3页

Estimation of congestion level at intersection points using AI 基于AI的交叉口拥塞水平估计

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064550

Deepika, Gitanjali Pandove

引用次数: 0

Investigation of Thermographic Images of Photovoltaic Modules using Deep Learning Models 基于深度学习模型的光伏组件热成像图像研究

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064551

Raorane Ashwini, Dhiraj B. Magare, Yogita D. Mistry

{"title":"Investigation of Thermographic Images of Photovoltaic Modules using Deep Learning Models","authors":"Raorane Ashwini, Dhiraj B. Magare, Yogita D. Mistry","doi":"10.1109/ICICT55121.2022.10064551","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064551","url":null,"abstract":"Recently Solar PV panel has important role in the power generation based on renewable energy. In this paper, presents a challenge faced by faults diagnosis using thermal image analysis of Photovoltaic (PV) Module is studied. In ancient time, compared to the modern technique of PV examination using thermal imaging, the manual PV inspection approach is frequently slower, riskier, and less accurate. The use of thermal photos has the advantage of being able to immediately identify the anomaly in PV array as well as offer other measurement parameters. This research on thermal image analysis will aid in the inspection of PV modules by offering a more accurate and cost-effective identification of PV defects. According to this study, deep learning approaches are currently being considered as a feasible classifier for image processing and computer vision. Various studies, on the other hand, employed the notion of deep learning to classify and detect thermographic images used to detect flaws in PV modules. The analysis of anomaly classification and parameter evaluation were presented and explored in this method. This study looks at how well Deep Neural Networks (DNNs) models perform when it comes to classifying abnormalities in images. DNNs models have high accuracy for implementing classification of anomalies.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130522121","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 Comparative Analysis of Machine Learning Algorithms for Agricultural Drought Forecasting 农业干旱预测机器学习算法的比较分析

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064511

J. Vrindavanam, T. Babu, Harika Gandiboina, Gopika G. Jayadev

{"title":"A Comparative Analysis of Machine Learning Algorithms for Agricultural Drought Forecasting","authors":"J. Vrindavanam, T. Babu, Harika Gandiboina, Gopika G. Jayadev","doi":"10.1109/ICICT55121.2022.10064511","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064511","url":null,"abstract":"The occurrence of drought is a climatic feature and is a phenomenon that happens over time. Depending on the severity, it can last for a short or long time. Farming households are trying to meet due to rising agricultural operating costs that hinder the country's development. This study aims to forecast the severity of the drought over time. Drought scores vary from 0 to 5, with 0 and 5 indicating the least and highest intensity drought conditions. This is done using weather and soil data of a region consisting of Precipitation, Surface Pressure, Humidity, Temperature, Wind Speed, and Soil data. The main reasons for the cause of drought are first identified. These features are used to train the multivariate time series models like Prophet, VAR (Vector Auto-Regression), LSTM (Long short-term memory), and Comparison of actual v/s predicted values. The results were promising. The study has done an analysis comparing different machine learning algorithms for agricultural drought forecasting and it was found that the LSTM model performed better than VAR and Prophet models.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133058529","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

Lane Line Detection Using Machine Learning 使用机器学习的车道线检测

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064598

P. Upadhyay, S. Srivastava, Siddharth S. Pandey, Aanandi Goel

引用次数: 0

A Study and Review on Link Failure Prediction and Detection in Mobile Ad hoc Network 移动自组网中链路故障预测与检测的研究与进展

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064618

Diksha Shukla, Raghuraj Singh

{"title":"A Study and Review on Link Failure Prediction and Detection in Mobile Ad hoc Network","authors":"Diksha Shukla, Raghuraj Singh","doi":"10.1109/ICICT55121.2022.10064618","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064618","url":null,"abstract":"A wireless network with multiple hops but no fixed infrastructure is known as a mobile ad hoc network (MANET). Its salient features are self-configuring, self-organized and dynamically changing network topology. Devices like laptop and personal digital assistants can transfer the data packets either over radio or infrared links. MANETs are prominently used in the area of military applications, disaster management, search and rescue operations etc. where the network architecture is temporary in nature and it is difficult to establish a central control for the network. Major limitations and challenges of the MANET include limited transmission range of nodes, limited battery power, node mobility, dynamic topology, effective routing and node & link failure. Transmission efficiency of the network is drastically reduced due to the frequent node and link failures. Hence link failure prediction plays a crucial role in increasing the efficiency and reliability of the network. The purpose of this paper is to do an exhaustive literature review and critical study of various challenges for improving routing efficiency of MANET protocols with specific attention to the link failure detection and prediction.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"265 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123972713","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

Developing ERP success model in Indian manufacturing sector 在印度制造业开发ERP成功模式

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064596

Archana Sar, Poonam Garg, Nishant Gupta, Madhavi Singh

引用次数: 0

Evaluation of Subjective Answers Using Machine Learning 使用机器学习评估主观答案

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064615

S. G, S. G, T. Babu, Rekha R Nair

引用次数: 0

A Priority-Based Congestion Control Algorithm for Wireless Sensor Networks 基于优先级的无线传感器网络拥塞控制算法

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064567

T. M. Tshilongamulenzhe, Topside E. Mathonsi, DP DuPlessis, M. Mphahlele

{"title":"A Priority-Based Congestion Control Algorithm for Wireless Sensor Networks","authors":"T. M. Tshilongamulenzhe, Topside E. Mathonsi, DP DuPlessis, M. Mphahlele","doi":"10.1109/ICICT55121.2022.10064567","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064567","url":null,"abstract":"Wireless Sensor Networks (WSNs) is an area that has generated an increasing interest currently worldwide. WSNs fall under IEEE 802.11 standard in which wireless network is formed by sensor nodes (SNs) that interconnect with each other through wireless links. SNs are capable of sensing, processing, and communicating via a wireless channel in a harsh environment, and most of them are battery powered. WSNs are mostly used for traffic communication in different environments such as irrigations, healthcare, home, and the military. WSNs are implemented to monitor temperature, humidity, pressure, among others within the network environment. The implementation of WSNs in various environment came with different challenges such as traffic congestion. The traffic congestion that occurs during packet transmission is normally occurs when there is buffer overflow. As a result, packet loss, packet delay, and network throughput impairment occurred during packet transmission within the network. This paper proposed a Priority-Based Congestion Control (PBCC) algorithm in order to manage packet distribution to avoid the buffer overflow in WSNs while improving Quality of Service (QoS). The Particle Swarm Optimization Gravitational Search Algorithm (PSOGSA) and Weighted Priority based Fair Queue Gradient Rate Control (WPFQGRC) were integrated in order to develop the proposed PBCC algorithm. Network Simulator 2 (NS-2) was used to test the effectiveness of the proposed PBCC algorithm. The simulation results showed that the proposed PBCC algorithm reduced the packet loss by 29.4%, packet delay by 32.6%, and improved network throughput by 96.8% when compared with PSOGSA and WPFQGRC algorithms.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125007753","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 Issues and Research Challenges in Designing a Secure IoT with Blockchain 使用区块链设计安全物联网的性能问题和研究挑战

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064533

Hemani, Dayashankar Singh, Rajendra Kumar Dwivedi

引用次数: 0

Role Based Access Control Framework for Healthcare Records Using Hyperledger Fabric 使用超级分类账结构的医疗记录基于角色的访问控制框架

2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) Pub Date : 2022-11-11 DOI: 10.1109/ICICT55121.2022.10064512

S. Pari, S. Rajashree, Adithya Prakash, R. M. Shanthosh

{"title":"Role Based Access Control Framework for Healthcare Records Using Hyperledger Fabric","authors":"S. Pari, S. Rajashree, Adithya Prakash, R. M. Shanthosh","doi":"10.1109/ICICT55121.2022.10064512","DOIUrl":"https://doi.org/10.1109/ICICT55121.2022.10064512","url":null,"abstract":"Blockchain has a significant influence on the health-care sector with respect to data sharing. Electronic Health Records (EHR), a highly sensitive method, are currently used in healthcare to store and share medical records. Due to a lack of trustworthy and dependable health data sharing systems, the majority of sharing of Electronic Health Record data is still done by mail. This leads to considerable delays in the patient's treatment. Smart contracts enabling data access, security, and cryptographic guarantees of data integrity are available on the decentralized blockchain platform. By putting the patient at the center of the system, enhancing healthcare data privacy, and enhancing interoperability, the storage of electronic medical records on a centralized or private blockchain has the potential to improve healthcare. Using the Hyperledger fabric technology, a permissioned blockchain system has been suggested to store and share medical records. By using grant and revoke access procedures, patients have full control over their medical information and give clinicians permission to see the patient's medical records. Three different roles have been considered and hence, the access permissions have been given to the roles accordingly, hence ensuring integrity and security. The proposed solution shows a 42.71% in average latency for granting and revoking access to EHRs and also shows a 46% decrease in execution time as compared to previously proposed solutions.","PeriodicalId":181396,"journal":{"name":"2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128380829","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