2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)最新文献_第8页

An Efficient IoT e-Environment System to Monitor and Control Pollution and Maintain Hygienics in Educational Institutions 一种高效的物联网电子环境系统，用于监测和控制教育机构的污染并保持卫生

2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) Pub Date : 2022-12-01 DOI: 10.1109/ICCMSO58359.2022.00064

Md. Abdul Wassay, Karun Verma, S. Singla

{"title":"An Efficient IoT e-Environment System to Monitor and Control Pollution and Maintain Hygienics in Educational Institutions","authors":"Md. Abdul Wassay, Karun Verma, S. Singla","doi":"10.1109/ICCMSO58359.2022.00064","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00064","url":null,"abstract":"The Covid-19 Pandemic (C19P) situation of the entire world now affects all fields in terms of Excellencies and let to suffer drastically from normal functioning. The whole world is now concentrating on the protection from the C19 virus in the form of vaccination (C19V) and social distancing (SD). There is a kind enough need arises to maintain the hygiene environment during and after the post C19P situations, and this IoT e-Environment Pollution Monitoring and Controlling System (IEE-PMCS) with 3 parameters (air, water, sound) resolves and addresses the issues in the hygiene maintenance of various environments as common. In the IEE-PMCS proposed work, the 3 measuring parameters and their real-time and current values are percept with the appropriate sensors of IoT elements, and the data are collected and stored on a cloud and are verified with the predefined threshold values of pollution measures with included tolerance values of permissible values to indicate if there is any cause of the pollution on the real-time perceptions. The verification and decision-making of the system is reliable on the new algorithms proposed in this work. This work is based on system modeling and providing an efficient architecture to the maximum extent of the intended purpose, with a detailed description of the flow of operations and with the algorithmic level.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133056735","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

Effect of transmissivity on PV module glass for PVT-TEC air collector PVT-TEC空气集热器光伏组件玻璃透光率的影响

2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) Pub Date : 2022-12-01 DOI: 10.1109/ICCMSO58359.2022.00083

Ajay Pratap Singh, S. Tiwari, R. Sahdev, Harender, P. Tiwari

引用次数: 0

Topological Simulation to Recognize the Steady State Thermal Behavior of Customized Finger Splint 定制手指夹板稳态热行为识别的拓扑模拟

2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) Pub Date : 2022-12-01 DOI: 10.1109/ICCMSO58359.2022.00069

Ashwani Kumar, Deepak Chhabra

{"title":"Topological Simulation to Recognize the Steady State Thermal Behavior of Customized Finger Splint","authors":"Ashwani Kumar, Deepak Chhabra","doi":"10.1109/ICCMSO58359.2022.00069","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00069","url":null,"abstract":"The recent developments in simulation engineering have made it feasible to solve various multiphysics problems of designing and testing through advanced mathematical modeling with optimal outputs to meet manufacturing leading accuracy. The engineers preferably adopt topology optimization (TO) techniques to establish a performance-oriented balance between affordability and strength, interpolating unanticipated hidden shapes from a given design domain. The thermal analysis embedded with topological simulation enables the designers to understand the thermal performance of complex structures under given boundary conditions. In the present article, a cumulative finite element analysis (FEA) based structural and thermal simulation approach has been implemented to understand the customized mallet finger splint's mechanical and thermal behavior. The customized splint subjected to operational loads and constraints was optimized for compliance criterion with a successive reduction in mass percentage. Optimization results indicated that a considerable weight reduction improves the orthosis ventilation behavior, which may improve the performance outcomes for the patients during the recovery.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123192261","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

Analysis of Some Popular AI & ML Algorithms Used in Agriculture 农业中常用的人工智能和机器学习算法分析

2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) Pub Date : 2022-12-01 DOI: 10.1109/ICCMSO58359.2022.00019

Shivani, Satinder Bal Gupta, Raj Kumar Yadav, Reena Hooda, Sunita Dhingra, Monika Gupta

引用次数: 0

Quantum Machine Learning and Quantum Communication Networks: The 2030s and the Future 量子机器学习和量子通信网络:本世纪30年代和未来

2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) Pub Date : 2022-12-01 DOI: 10.1109/ICCMSO58359.2022.00025

Shweta Jain, A. Gandhi, Sanjay Singla, Lucy Garg, Stuti Mehla

{"title":"Quantum Machine Learning and Quantum Communication Networks: The 2030s and the Future","authors":"Shweta Jain, A. Gandhi, Sanjay Singla, Lucy Garg, Stuti Mehla","doi":"10.1109/ICCMSO58359.2022.00025","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00025","url":null,"abstract":"The two emerging technologies are machine learning and artificial intelligence, and as we all know, quantum computing is one of the most revolutionary developments in technology. Researchers are considering combining machine learning and quantum computing with the advancements in both fields. As a result, quantum machine learning-a fusion of these two fields-has evolved. It has the capacity to effectively address a wide range of real-world issues. Both fields will surely benefit from the combined results of the two fields. When the potential of quantum principles and its peculiarities is employed with machine learning, quantum machine learning reaches a very advanced level. Now that quantum concepts are being incorporated, traditional machine learning algorithms like SVM, PCA, and KNN are being reviewed as QSVM, Q-KNN, and QPCA, which are the most effective and powerful techniques for quantum machine learning. Quantum machine learning is a boom for the future; it will soon vastly surpass even the most advanced neural networks, deep learning systems, and machine learning systems of today. Modern machine learning is quicker than classical computing thanks to quantum machine learning, which is concerned with quantum software. Quantum data from an artificial quantum system is what QML is based on. In this paper, we will also study about the future network that is quantum network, which will be use by replacing classical networking. By enabling quantum communication between any two sites on Earth, a quantum internet is intended to fundamentally advance internet technology.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128856912","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

Application of Hybrid Encryption Methodsin Digital Steganography Technique for Secure Communication 混合加密方法在数字隐写技术中的应用

2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) Pub Date : 2022-12-01 DOI: 10.1109/ICCMSO58359.2022.00057

Sharanpreet Kaur, Surender Singh

引用次数: 0