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

Music Recommendation System Using Machine Learning 使用机器学习的音乐推荐系统

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074362

Rajesh Kumar, Rakesh

{"title":"Music Recommendation System Using Machine Learning","authors":"Rajesh Kumar, Rakesh","doi":"10.1109/ICAC3N56670.2022.10074362","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074362","url":null,"abstract":"The Internet plays a crucial role in society, and many apps use suggestion structure. It has created a wide range of applications, a global local area, and built for different types of data. Today's proposal framework has altered how we currently view the things that are to our advantage. Additionally, it is possible due to the data sifting method that is used to predict the customer's propensity. The most well-known applications of the recommender system are in the areas of books, news, articles, music, records, movies, and other media. The outline of the machine learning calculations and tactics developed for the proposal framework are covered in this study.We have suggested a music suggestion framework dataset in this article. Three categories make up the proposal framework: collaborative filtering, content-based, and approach based on half a breed. Recommender frameworks are widely used these days, especially in informal groups and electronic industry, as communitarian sifting methods become more mature. This paper organises the community-based, i-based separating process that uses the information provided by clients, analyses it, and then offers the songs that are most suitable for the client at that particular time.The paper describes this methodology, its steps, and its limitations. The recommended music list is arranged using the K-means algorithm and is based on the ratings that previous listeners have given the music. Additionally, this helps customers find the music of their choice based on the cinema insights of other customers efficiently and effectively without wasting much time in meaningless reading.The newly introduced recommender framework generates recommendations using a variety of information, including information about customers, the items that are available, and previous transactions stored in modified data sets. The customer could then efficiently browse the choices and find the music of their choice.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"47 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":"116627725","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

Gain Enhancement of Novel Rectangular Microstrip Patch Antenna using RT-Duroid substrate and FR-4 substrate on S-band 基于r - duroid基片和FR-4基片的s波段新型矩形微带贴片天线增益增强研究

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074571

R. A. Sharma, P. Kalyanasundaram

引用次数: 1

Design and Assembling of Mobile Controlled Sanitizing Robot with Camera and Sanitizer Level Detection for Measuring Area and Distance in Comparison with Pesticide Spraying Robot 带有摄像头和消毒剂液位检测的移动控制消毒机器人的设计与组装，用于与喷洒农药机器人进行面积和距离测量

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074508

A. V. Reddy, A. Rama

引用次数: 0

Fractal Based Switchable Multiband Antenna for 5G Applications 5G应用中基于分形的可切换多波段天线

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074300

P. Manikandan, P. Sivakumar, C. Swedheeta, B. Mahesh, K. V. Manikanta Deenadayal, D. Mohan Reddy

{"title":"Fractal Based Switchable Multiband Antenna for 5G Applications","authors":"P. Manikandan, P. Sivakumar, C. Swedheeta, B. Mahesh, K. V. Manikanta Deenadayal, D. Mohan Reddy","doi":"10.1109/ICAC3N56670.2022.10074300","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074300","url":null,"abstract":"A switchable multi-band microstrip antenna operating in the microwave frequency band is presented in this paper. In the proposed antenna, three switches have been incorporated with the modified seirpinski fractal structure. Lumped element model of PIN diode is used as switch. The switches have designed with lumped elements, switching characteristics of the switch is realized by choosing proper resistance value in the RLC network. Various multiband resonance has been realized by changing the ON/OFF states of each switch. The proposed antenna covers fifteen bands such as 2.42GHz, 3.74GHz, 4.73GHz, 4.13GHz, 5.44GHz, 6.03GHz, 7.37GHz, 8.43GHz, 8.35GHz, 1.20GHz, 3.02GHz, 5.71GHz, 6.45GHz, 9.17GHz and 9.97GHz with sufficient S11(dB) value. The proposed antenna structure is modeled in Computer Simulation Technology microwave studio (CST MWS) and the simulated results are presented in this paper. Due to its multi-band resonance, the proposed antenna can be used in advanced handheld 5G devices, Futuristic smart devices, Internet of Things (IoT) enabled systems, etc.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"11 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":"124938147","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

Spammer Detection Prediction and Identification by ML 基于ML的垃圾邮件检测预测与识别

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074489

Challapalli Manoj, Talluru Tejaswi, M. Sandeep, V. Ganesan, Viswanathan Ramaswamy, Seelam Chandan, T. Akilan

{"title":"Spammer Detection Prediction and Identification by ML","authors":"Challapalli Manoj, Talluru Tejaswi, M. Sandeep, V. Ganesan, Viswanathan Ramaswamy, Seelam Chandan, T. Akilan","doi":"10.1109/ICAC3N56670.2022.10074489","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074489","url":null,"abstract":"Social networking platforms are used by millions of individuals all around the world. The effects of user interaction with social networking sites like Twitter and Facebook, which are both influential and unpopular in everyday life, are both influential and unpopular. Spammers have turned to well-known social networking sites to disseminate a significant volume of useless and delete able content. For example, Twitter has grown to become one of the most frequently utilized platforms of all time, allowing for a fictitious spam level. Spam detection and false identity detection on Twitter have recently been frequent study topics on modern online social networks (OSNs). We conduct a strategic evaluation in this study to identify persons who publish spam on Twitter. Furthermore, the group of Twitter spam detection algorithms divides them into categories depending on their capacity to trace false content, spam-based URLs, spam on popular subjects, and phone users. The methodologies are also contrasted in terms of other characteristics, such as user, content, graph, layout, and time characteristics. Unwanted tweets by fraudulent users disrupts authorized customers and impedes resource usages. Additionally, the potential to distribute information about phone identities to users has grown, leading in the distribution of inappropriate content.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"22 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":"123420507","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

An Exploration of Learning About Cardiovascular Disease Predictionusing Deep Learning 利用深度学习学习心血管疾病预测的探索

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074080

L. Dharani, G. George, S. Geetha

{"title":"An Exploration of Learning About Cardiovascular Disease Predictionusing Deep Learning","authors":"L. Dharani, G. George, S. Geetha","doi":"10.1109/ICAC3N56670.2022.10074080","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074080","url":null,"abstract":"Artificial intelligence has advanced Technology in recent years in the form of software algorithms for use and applications in the health-monitoring system. The best choices for eliminating human error in disease diagnosis and assisting in disease prevention through early detection. Heart-related illnesses, often known as circulatory sicknesses are the foremost cause of death in universal during the past several decades and have become the most serious illness in both India and the rest of the globe. Therefore, a trustworthy, accurate, and practical system is required to identify these disorders early enough for effective therapy. Based on the required task, deep information has stood as a more correct and persuasive radio for a type of restorative questions in the way that ailment, guess, and encroachment. It is a representation instruction pattern amounting to coatings that non-linearly transform the file to disclose hierarchic companionships and structures. In this survey, we construe the benefits and troubles of administering deep Knowledge in cardiology that also relate to curing usually, while suggesting distinguishing guidance as best able for dispassionate use,for that reason Deep Knowledge modelling can be used as further research work.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"144 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":"123579939","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

SGD-DABiLSTM based MRI Segmentation for Alzheimer’s disease Detection 基于SGD-DABiLSTM的MRI分割检测阿尔茨海默病

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074493

N. V, M. Pallikonda Rajasekaran, G. Vishnuvarthanan, T. Arunprasath, Kottamalai Ramaraj

{"title":"SGD-DABiLSTM based MRI Segmentation for Alzheimer’s disease Detection","authors":"N. V, M. Pallikonda Rajasekaran, G. Vishnuvarthanan, T. Arunprasath, Kottamalai Ramaraj","doi":"10.1109/ICAC3N56670.2022.10074493","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074493","url":null,"abstract":"Alzheimer's disease (AD) is a neurodegenerative ailment that causes memory and cognitive skills to deteriorate over time. It is a terrible neurological ailment that causes memory and cognition impairments, as well as behavioural issues, neuropsychiatric disorders and impairment in everyday tasks. AD is diagnosed as a cause of death in elderly people. It is also one of the most difficult diseases to diagnose, especially in the early stages, using standard manual approaches. Magnetic resonance imaging (MRI) is a popular tool for detecting neurodegenerative disorders because of its high spatial resolution. In this work a deep attention bidirectional long short-term memory (DABiLSTM) with stochastic gradient optimisation (SGDO) is utilised for the detection of AD. For pre-processing brain MRI images, the gaussian bilateral filter is used. The anomaly section of the obtained image is segmented using a BiLSTM based on deep attention. The system is optimised using stochastic gradient descent optimization (SGDO), which minimises the neutral network's error rate. This work is implemented using the MATLAB tool and the Alzheimer's Disease Neuroimaging Initiative 2 (ADNI2) dataset. When compared with current approaches, the proposed method obtained an accuracy of 94.63 % in the detection of AD.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"16 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":"125267319","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 Reliable and efficient data transfer on wireless sensor networks by using Optimization algorithms 基于优化算法的无线传感器网络可靠高效的数据传输

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074343

T. Saravanan, G. Rajulu

{"title":"A Reliable and efficient data transfer on wireless sensor networks by using Optimization algorithms","authors":"T. Saravanan, G. Rajulu","doi":"10.1109/ICAC3N56670.2022.10074343","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074343","url":null,"abstract":"Wireless Sensor Network technologies that require collecting all node-generated data without any losses like structural monitoring. Since wireless networks and resource constraints present additional challenges, point-to-point transmission, which is employed in the network for sustainable communication, becomes extremely ineffective in Wireless Sensor Networks. We investigate elements that determine reliability and explore effective combinations of possible solutions. You can implement information redundancy techniques like rebroadcasting and destruction of data techniques. Additionally, route maintenance, which explores an alternate hop and several faults, minimizes packet drops. In this paper, we evaluated several machine learning optimization algorithms for efficient and reliable data transfer in wireless networks. Our simulation results prove that each opportunity overcomes different types of flaws that occurred by the existing techniques. The Arithmetic Optimization Algorithm, Particle Swarm Optimization, and Shuffled Complex Evolution Algorithm is efficient in obtaining reliability, achieving very high reliability by enduring packet losses, and it responds very instantly to link failures. That’s the proposed combination of optimization algorithms that can prove more than 90% memory consumption with Time, High Speed, and Accuracy by providing an alternative to point-to-point communication over multiple nodes in the network.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"15 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":"125292545","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

An Enhanced MIN-MIN algorithm for workflow scheduling in Cloud Computing 云计算中工作流调度的改进MIN-MIN算法

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074016

Gifty Gupta, N. Mangla

{"title":"An Enhanced MIN-MIN algorithm for workflow scheduling in Cloud Computing","authors":"Gifty Gupta, N. Mangla","doi":"10.1109/ICAC3N56670.2022.10074016","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074016","url":null,"abstract":"In Cloud Computing environment, scheduling of Cloudlets and resource allocation of Cloudlets are two major issues that need to be considered. To improve the system performance, it is necessary that the Cloudlets scheduled on the resources available must be efficiently executed. For scientific applications, workflow scheduling is a significant issue. To handle this issue, a new mechanism called Enhanced Min-Min (E-Min-Min) is introduced inspired by the Min-Min algorithm. This scheduling algorithm not only schedules the jobs according to their completion time but considers the data transfer time too with equal priority and makes an aggregated function for scheduling of jobs to the best suitable resources. During the scheduling process, the main focus is on the minimization of Makespan, maximize the resource utilization and load balance level and also minimize the cost of scheduling. Workflow scientific applications such as Montage, Cybershake, InSpiral, SIPHT are considered. In workflow the tasks are represented as nodes and their dependencies represents the relationships among them. WorkflowSim simulator with Net Beans IDE is used to create the simulation environment and the results are validated over it. The proposed algorithm shows the better results as compared with the basic Min-Min and Modified Min-Min algorithm.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"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":"125375477","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

Detection of Propaganda in Information Warfare using Deep Learning 利用深度学习检测信息战中的宣传

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074449

Rashmikiran Pandey, Mrinal Pandey, Alexey Nazarov

引用次数: 0