2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)最新文献_第3页

SRR Loaded Wideband Antenna 5G Application SRR负载宽带天线5G应用

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760517

Kiran Chand Ravi, V. Slyusar, J. Kumar

引用次数: 2

Blockchain-based IoT Device Security 基于区块链的物联网设备安全

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760674

V. Cp, S. Kalaivanan, R. Karthik, A. Sanjana

{"title":"Blockchain-based IoT Device Security","authors":"V. Cp, S. Kalaivanan, R. Karthik, A. Sanjana","doi":"10.1109/AISP53593.2022.9760674","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760674","url":null,"abstract":"Due to the quick increase of IoT devices, they lack the authentication standards and administration needed to keep user data secure. Hackers could cause significant infrastructure harm by infiltrating a wide spectrum of IoT devices. Blockchain use in IoT technology guarantees trust and authentication across all IoT elements, resulting in IoT security. Blockchain is a decentralized, distributed, and shared database that enables the creation of decentralized apps. Traceability, openness, immutability, and fault tolerance are some of the qualities of this technology that help maintain data privacy in IoT scenarios and thus create a safe environment. We look at a potential strategy for securely controlling IoT devices,i.e., devices connected to the internet using smart contracts on the blockchain in this study. This paper demonstrates how the proposed system comprising of a blockchain and smart contracts work efficiently in concurrence to avoid tampering by unauthorized parties. We have employed web3 library to control the linked devices by implementing Ethereum nodes (second most popular blockchain) on Raspberry Pi simulations and node.js.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"37 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73187454","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: 4

A Comprehensive Study on Machine Learning Approaches for Emotion Recognition 情感识别中机器学习方法的综合研究

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760652

N. Kumar, Nidhi Gupta

引用次数: 0

Bayesian Regression for Solar Power Forecasting 太阳能发电预测的贝叶斯回归

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760559

Kaustubha H. Shedbalkar, D. More

引用次数: 0

Facemask Detection using Convolutional Neural Networks (CNN) 卷积神经网络(CNN)面罩检测

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760667

Ch Madhurya, Ajith Jubilson E, Goutham N

{"title":"Facemask Detection using Convolutional Neural Networks (CNN)","authors":"Ch Madhurya, Ajith Jubilson E, Goutham N","doi":"10.1109/AISP53593.2022.9760667","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760667","url":null,"abstract":"In last quarter of 2019, Corona Virus Disease (COVID-19), has flared up globally due to which many organizations and institutions are suffering and practically they are going to be closed if the current scenario does not change. COVID-19 is an transmissible disease causes due to Serious Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV-2), which spreads from small liquid particles released from mouth or nose of an infected person. With this virus, anyone can get sick and become seriously ill or even die at any age. The best way to protect our self and others is by wearing a properly fitted facemask, washing hands regularly or frequently rubbing your hands by using an alcohol-based sanitizer and the way is to get vaccinated when ones turn comes. The proposed study uses Convolutional Neural Networks (CNNs) which is a technique of deep learning is used for classification by processing images. This study uses deep learning techniques for identifying if the person is with proper facemask or with no facemask from live video streams. For training the model the dataset is collected kaggle repository which contains 2000 images and attained an accuracy of 98.2% while training the model. The created system is put into action with the help of openCV, python and mobileV2 architecture v2 for recognizing the persons who are wearing and not wearing the facemasks.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"31 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80504470","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

Graph Convolutional Networks for Predicting State-wise Pandemic Incidence in India 用于预测印度各邦流行病发病率的卷积网络图

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760527

S. Sriraman, R. Manjunathan, Nethraa Sivakumar, S. Pooja, Nikhil Viswanath

引用次数: 0

Prediction of Multi Class Drugs: A Perspective for Designing Drug with Many Uses 多类药物预测:多用途药物设计的一个视角

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760640

P. Vaidya, S. Chauhan, V. Jaiswal

{"title":"Prediction of Multi Class Drugs: A Perspective for Designing Drug with Many Uses","authors":"P. Vaidya, S. Chauhan, V. Jaiswal","doi":"10.1109/AISP53593.2022.9760640","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760640","url":null,"abstract":"The drug-like molecule which could treat multiple diseases is commercially more viable and can act on multiple biological pathways. Such drug candidates can also be more important in the treatment of complex diseases like cancer. Traditional methods are not focused on the development of such drugs, but computational method can be developed to predict multiple disease potential of drug-like molecules. Computational methods have been extremely successful in drug discovery through prediction of drug potential of the drug-like molecules such as toxicity, physiological effects, binding energy and binding pose with the receptor. Computational methods to predict multiple disease potential of the drug-like molecules are not worked out so far in spite of the high importance of such drugs and it can also expedite the drug repurposing. Hence, information of approved drugs used for the treatment of single and multiple diseases was included to develop the machine learning-based model for the prediction of multiple disease potential of the drug-like molecules. Molecular descriptors were used as the features and optimally selected for support vector machine-based prediction models. The fairly high accuracy of developed method justifies the importance of selected method and approach. The developed method is expected to expedite the drug discovery process through the prediction of multi-drug potential of drug-like molecules.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"85 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82356600","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

CFOA Based Second Order Low Frequency Sensitive Sinusoidal Oscillator 基于CFOA的二阶低频灵敏正弦振荡器

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760529

Naga Chandrika Gandikota, Gurumurthy Komanapalli

引用次数: 0

Weibull Prior based Single Channel Speech Enhancement using Iterative Posterior NMF 基于威布尔先验的迭代后验NMF单通道语音增强

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760648

S. Vanambathina, Vaishnavi Anumola, Ponnapalli Tejasree, Nandeesh Kumar, Rama Prakash Reddy Ch

引用次数: 1

Development of an Inspection Software towards Detection and Location of Cracks and Foreign Objects in Boiler header or Pipes 锅炉集箱或管道中裂纹和异物检测与定位软件的开发

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760604

Samarpita Hatua, D. Ray, Sahadeb Shit, D. Das, Sayanti Hazra

{"title":"Development of an Inspection Software towards Detection and Location of Cracks and Foreign Objects in Boiler header or Pipes","authors":"Samarpita Hatua, D. Ray, Sahadeb Shit, D. Das, Sayanti Hazra","doi":"10.1109/AISP53593.2022.9760604","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760604","url":null,"abstract":"Industry 4.0 offers a radical transformation to increase cost-effective, flexible, and efficient production of higher-quality fully automated systems by collecting and analyzing data across machines. From the last few decades, power industry has started to focus on real-time systems instead of using static methodology in periodical boiler inspection. The power plant undergoes sudden break down due to cracks and foreign bodies causing huge economic loss to the plant as well as the country. To avoid such unforeseen breakdown, most of the power plants has adopted inspection and monitoring system as a regular solution. Visual inspection is one of the most popular techniques for such inspections using a tiny camera with high-power LEDs (Known as Borescope). But it has several limitations for circumferential (360°) and longitudinal (2000mm) coverage and also equidistance inspection from the center of the header is not possible using a conventional Borescope. A specific Digital Video Recorder (DVR) used for the inspection and monitoring is not sufficient to resolve multipurpose requirements such as position of the foreign body and crack, feature of magnification, and more important is data log including plant information and crack details with images. A real-time inspection module has been developed integrated with robotic (AI) based on computer vision to make the inspection dynamic and fully automated.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"33 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79444570","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