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2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)最新文献

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Gain Enhancement of Microstrip Patch Antenna by using Double Slotted Ground Plane in Comparison with Unslotted Ground Plane 双开槽接地与非开槽接地对微带贴片天线增益增强的比较
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074392
Shaik Rafi, G. UganyaBommi
{"title":"Gain Enhancement of Microstrip Patch Antenna by using Double Slotted Ground Plane in Comparison with Unslotted Ground Plane","authors":"Shaik Rafi, G. UganyaBommi","doi":"10.1109/ICAC3N56670.2022.10074392","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074392","url":null,"abstract":"A rectangular microstrip patch antenna (MPA) is constructed by using Double slotted ground plane in comparison with un-slotted ground plane for gain enhancement. The microstrip patch antenna using double slotted ground plane uses a total of 40 samples in comparison with un-slotted ground plane with 2mm substrate thickness.. The enhanced gain is by 1.99 dB. Attained significance accuracy ratio (p<0.05). Microstrip patch antenna with double slotted ground plane performs appears to be better in terms of Gain.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134231242","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
Vision Based Vehicle-Pedestrian Detection and Warning System 基于视觉的车辆-行人检测与预警系统
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074566
Bhumika Loungani, Janvi Agrawal, Lija Jacob
{"title":"Vision Based Vehicle-Pedestrian Detection and Warning System","authors":"Bhumika Loungani, Janvi Agrawal, Lija Jacob","doi":"10.1109/ICAC3N56670.2022.10074566","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074566","url":null,"abstract":"Road Sense must be respected and obeyed by both the pedestrian and the driver. Moreover, urbanization has led to a steadfast rise in the fleet of vehicles, their speed, as well as non-compliance with road safety measures, and other such factors have provoked an inescapable increase of accidents in road traffic involving pedestrians. Pedestrian collisions can be predicted and prevented. At the very basic, there has to be vehicle and pedestrian detection along with speed estimation, which can be further applied to Vehicle-Pedestrian Collisions and various emerging fields like Industrial Automation, Transportation, Automotive, Security/Surveillance, or in Dangerous environments. This paper reviews the literature on vehicle and pedestrian detection based on two significant categories: pre-processing phase and detection phase, with a detailed comparative analysis. The papers reviewed cover video-based surveillance systems.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134489929","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
Smart Fire Detection System with Call Alert and Water Sprinkler Unit Using IoT 智能火灾探测系统，呼叫警报和使用物联网的洒水装置
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074046
R. R, Soumyalatha Naveen
{"title":"Smart Fire Detection System with Call Alert and Water Sprinkler Unit Using IoT","authors":"R. R, Soumyalatha Naveen","doi":"10.1109/ICAC3N56670.2022.10074046","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074046","url":null,"abstract":"The Internet of Things(IoT) enables the development of socially benefited applications for most of the safety precautions. Most of the fire accidents that occurs in the industrial areas, and it causes major damage to human as well as natural resources.In this paper, the author has proposed fire detection and smart water sprinkler system using IoT technology and useful for the fire- crackers industry. The root cause for the damage caused by fire accidents is analyzed and discussed about the prevention from them by introducing a fire fighting system. This proposed system performs the functions have additional features such as call feature, SMS alert with GPS co-ordinates meanwhile triggering the water system. From this system several hazardous fire accidents can be avoided, and many lives can be saved.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"13 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134565447","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
Generation of JMeter scripts for performance testing of Moodle server 生成用于Moodle服务器性能测试的JMeter脚本
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074284
Gaurav Mahajan, Dr. Vahida Attar, Shrida Kalamkar
{"title":"Generation of JMeter scripts for performance testing of Moodle server","authors":"Gaurav Mahajan, Dr. Vahida Attar, Shrida Kalamkar","doi":"10.1109/ICAC3N56670.2022.10074284","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074284","url":null,"abstract":"Moodle is an open-source virtual learning platform used by universities, institutions, and colleges to take quizzes, assignments, video lectures, etc., online. Many institutions worldwide and in India have used Moodle extensively during the covid-19 pandemic. Moodle is facing the issue of slow response time as the number of concurrent users increases. So, to cater to the need of students and teachers at the institutes, the performance testing of Moodle is done using JMeter, a freely available tool to find out the limitations of the number of simultaneous users of Moodle server. Different scenarios are considered, such as concurrent login, concurrent page accesses such as dashboard and registered course page, concurrent file uploads and downloads, concurrent users taking a quiz, etc. The simulation of simultaneous users is done using the JMeter scripts. The scripts are run by steadily increasing the number of threads up to a certain Error percentage of the requests.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134579456","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
Detection Of Ships in Satellite Imagery Using Deep Neural Networks with Transfer Learning Approach 基于迁移学习方法的深度神经网络卫星图像船舶检测
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074554
Rutuparna N, I. M
{"title":"Detection Of Ships in Satellite Imagery Using Deep Neural Networks with Transfer Learning Approach","authors":"Rutuparna N, I. M","doi":"10.1109/ICAC3N56670.2022.10074554","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074554","url":null,"abstract":"With increasing trade and globalization of businesses, there is also an increasing need for an efficient, reliable and robust system for Naval Security, especially for a peninsular country like India. The developing technology and publicly available remote sensing data can be a great solution to this. The focus of this paper is to implement a Deep Neural Network model using transfer learning approach.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134086215","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
Coverage Hole Detection with Image Analysis and Heuristic for healing 基于图像分析和启发式修复的覆盖孔检测
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074483
Anandakrishnan U, Greeshma Sarath
{"title":"Coverage Hole Detection with Image Analysis and Heuristic for healing","authors":"Anandakrishnan U, Greeshma Sarath","doi":"10.1109/ICAC3N56670.2022.10074483","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074483","url":null,"abstract":"Coverage holes in WAN are of significant issue. They reduces impact overall performance of WAN. Early detection of coverage holes in a ROI thus has great significant as it helps to plan a healing strategy. Various detection approaches has been proposed in earlier papers however they are all computationally intensive or require prior knowledge of the sensor location. In this paper we propose a image analysis based hole detection approach. The method has the advantage that it require minimum prior knowedge of the ROI and can be used in non homogenous ROI. The information extracted from the detection is used as heuristic to heal larger holes in ROI quickly. The algorithm has similar performance to existing algorithms as the no of sensors reaches 50 however has a better performance as the sensor count increase beyond 50.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130313869","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
Review On Image based Coffee Bean Quality Classification: Machine Learning Approach 基于图像的咖啡豆质量分类:机器学习方法综述
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074124
Pragathi S P, Lija Jacob
{"title":"Review On Image based Coffee Bean Quality Classification: Machine Learning Approach","authors":"Pragathi S P, Lija Jacob","doi":"10.1109/ICAC3N56670.2022.10074124","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074124","url":null,"abstract":"Specialty coffee’s demand is growing worldwide as coffee drinkers continue to look for the freshest and highest-quality flavors. Depending upon the quality, there are two categories in the coffee industry, that is specialty coffee and commodity/commercial coffee. Coffee beans are graded via visual inspection and cupping. A 300g sample of green coffee beans is used for visual assessment, and faulty beans are counted. As per the ‘Specialty Coffee Association of America’ (SCAA), defect can be either primary or secondary. For a coffee to be a specialty, it should have less than 5 secondary defects and zero primary defects. In this survey we have presented the coffee bean quality-related research which includes various machine learning approaches in classifying the coffee beans. The study has achieved quite promising prediction accuracies and was evaluated with test data. We have done a study on coffee bean quality classification and are willing to contribute an arabica coffee bean dataset and detection of coffee bean quality using transfer learning with higher accuracy.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115040530","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
Systematic Literature Review and Comparative Studies on Human Centred Software Development 以人为本软件开发的系统文献综述与比较研究
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074154
Rajeev Sharma, J. Singh
{"title":"Systematic Literature Review and Comparative Studies on Human Centred Software Development","authors":"Rajeev Sharma, J. Singh","doi":"10.1109/ICAC3N56670.2022.10074154","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074154","url":null,"abstract":"Software development techniques has been understood and give systematical model used to plan, design, test, implement, verification, validation and control the designing processes for developing an information-based system and satisfied the end-user’s requirements and needs. Human-centred software development, is a design methodology that provides a solution-based approach to solving user’s-oriented problems and fulfill the human-centredneeds and provides framework to provides results according to end-user’s requirements. In this paper we analyze the systematic literature reviews (Ss) and mapping studies and covering numerous primary research studies on different aspects of human centred software development(HCSD) exists. Software development has been turned focus from developed the application phase to user’s-oriented application and switched all the development scenario toward the human centred development. In this paper we review the different literature views papers on software development approaches in past and provide the comparative studies between those approaches and in final we provide the objective and proposed research overview.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115066274","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
Computational Algorithm for Performance Observations of ETC based Renewable Energy System 基于ETC的可再生能源系统性能观测的计算算法
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074350
A. K. Singh, Manvinder Singh, P. Kumar
{"title":"Computational Algorithm for Performance Observations of ETC based Renewable Energy System","authors":"A. K. Singh, Manvinder Singh, P. Kumar","doi":"10.1109/ICAC3N56670.2022.10074350","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074350","url":null,"abstract":"The significance of solar energy is defined and utilized by various applications. Renewable energy utilization using solar thermal collectors has been presented. This study emphasizes the use of solar energy through the substantial utilization in various fields by absorbing the irradiated solar radiation and respective conversion, i.e., thermal energy through optimum collectors (e.g., evacuated tube collector ETC). The performing capabilities of ETCs are observed under the respective environmental circumstances and shown through a generalized representation of a computational algorithm for the performance analysis of the ETC-based renewable energy systems, which will be utilized by feeding the archetypal data in the form of MATLAB programming code to compute the respective output, specifically in terms of different temperatures at various segments of the elements, heat transfer coefficients and the overall yield of the day. It has been observed that the scale deposited meanwhile the operation required proper testing to opt for the best possible cleaning solutions and respective mechanisms, which must be functional periodically to assure enhanced performance through the ETC augmented renewable energy systems.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115360700","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
Face Detection and Recognition with improved accuracy using Principal Component Analysis and comparing with Symlet algorithm 采用主成分分析方法，并与Symlet算法进行比较，提高了人脸检测与识别的精度
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074452
J. S. Vyshnavi, K. Vidhya
{"title":"Face Detection and Recognition with improved accuracy using Principal Component Analysis and comparing with Symlet algorithm","authors":"J. S. Vyshnavi, K. Vidhya","doi":"10.1109/ICAC3N56670.2022.10074452","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074452","url":null,"abstract":"The purpose of this research is to analyse the performance of the principal component analysis (PCA) method and the SYMLET algorithm when it comes to detecting and recognising faces with a high degree of accuracy. G-power is a tool that determines the total number of samples necessary for good face detection utilising the PCA and SYMLET algorithm. When certain parameters, such as minimum power, acceptable error rate, and allocation ratio, are held constant at 0.8, 0.05, and 1 respectively, a total of 256 samples can be produced from the experiment. It has been determined that PCA has an accuracy of 96.97%, and SYMLET has an accuracy of 52.63% correspondingly. There is a significant difference of 0.03 between the two groups (p less than 0.05). It has been determined from the findings of this research that the PCA algorithm detects faces in a substantially more accurate manner than the SYMLET algorithm does.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115726017","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
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