2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS)最新文献

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Fake news detection using Ensemble model 基于Ensemble模型的假新闻检测
2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS) Pub Date : 2022-05-01 DOI: 10.1109/icps55917.2022.00014
Ayushi Gupta, Vikash Mishra, Briskilal J
{"title":"Fake news detection using Ensemble model","authors":"Ayushi Gupta, Vikash Mishra, Briskilal J","doi":"10.1109/icps55917.2022.00014","DOIUrl":"https://doi.org/10.1109/icps55917.2022.00014","url":null,"abstract":"Fake news is a piece of information that contains intentional false information. The motivation can be anything, from propaganda to personal benefits. For tackling this, we are building a solution based on Deep Learning, a step above the usual Machine learning approach, using these deep learning algorithms we will detect the accuracy of a piece of information. For this, we are using CNN and LSTM as the base algorithms. Apart from the base algorithms used, we are having used the Ensembling technique via the soft voting method which is a model having its accuracy, thus increasing the overall probability of truth for the given dataset. The model is tested with a huge database from Kaggle and trained by various news sites. This is our advancement to the Machine learning approach. With the use of a better deep learning algorithm, we can promise a better end-user experience with better automated and reliable accurate results.","PeriodicalId":263404,"journal":{"name":"2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126192530","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
Depression Detection in Twitter Tweets Using Machine Learning Classifiers 使用机器学习分类器检测Twitter推文中的抑郁症
2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS) Pub Date : 2022-05-01 DOI: 10.1109/icps55917.2022.00023
Shruthi K Kumar, Nanditha Dinesh, Nitha L
{"title":"Depression Detection in Twitter Tweets Using Machine Learning Classifiers","authors":"Shruthi K Kumar, Nanditha Dinesh, Nitha L","doi":"10.1109/icps55917.2022.00023","DOIUrl":"https://doi.org/10.1109/icps55917.2022.00023","url":null,"abstract":"Users are increasingly using social media to share their thoughts and feelings. One of the primary causes of higher suicide rates is 'depression.' A user’s social media status recently revealed information on their mental health, as well as their current circumstances and actions. Various studies have been conducted to determine how social media may be used to assess a user’s mental health, and the results have been impressive. This is accomplished by the examination of expressed views, images, attitudes, language style, and other activities. The uploaded tweets from Twitter users will be used in this study to detect depressions. Five machine learning algorithms were employed to discriminate between depressed and non-depressed tweets. Support Vector Machine, Decision Tree, Random Forest, CNN, and Naive Bayes are all examples of machine learning algorithms. Finally, with 85.00 percent accuracy, 81.25 percent precision, 90.00 percent recall, and 82.90 percent f1-factor, Decision Tree Classifier exceeds all of the examined and evaluated approaches. This research can serve as a foundation for intelligent system developers working in the field of detecting user mental states.","PeriodicalId":263404,"journal":{"name":"2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS)","volume":"320 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124531481","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
HR Analytics : Early Prediction of Employee Attrition using KPCA and Adaptive K-means based Logistic Regression 人力资源分析:利用KPCA和基于自适应k均值的Logistic回归对员工流失的早期预测
2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS) Pub Date : 2022-05-01 DOI: 10.1109/ICPS55917.2022.00010
G. Pratibha, N. Hegde
{"title":"HR Analytics : Early Prediction of Employee Attrition using KPCA and Adaptive K-means based Logistic Regression","authors":"G. Pratibha, N. Hegde","doi":"10.1109/ICPS55917.2022.00010","DOIUrl":"https://doi.org/10.1109/ICPS55917.2022.00010","url":null,"abstract":"The loss of employees may have a significant impact on an organization's ability to succeed. For a business, this may be too costly. To assess employee attrition costs, one must take into account the lifecycle of human resources, expertise loss, satisfaction levels among employees, and company culture. In this research, we used logistic regression to assess employee attrition. We can categories an employee who is leaving the organization based on the set of qualities in the data collection. In this paper, KPCA (Kernel Principal Component Analysis), Adaptive k-means, and the logistic regression (LR) technique are used. PCA improved clustering techniques and LR model performance compared to previous published research. Therefore, the proposed model is helpful in predicting employee attrition based on HR record data. The data may be used by organizations to figure out what alterations ought to be made in the direction of the workplace in order to keep most of their employees.","PeriodicalId":263404,"journal":{"name":"2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127588599","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
Quick Shelves for Medical and Retail Industries using RFID Technology 使用RFID技术的医疗和零售行业快速货架
2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS) Pub Date : 2022-05-01 DOI: 10.1109/ICPS55917.2022.00030
Uppada. Koteswar Rao, Vanam Guru Vasista, Narayanasetti Kiran Kumar, Settypalli Sumanth, C. V. Naga Harish, Mohit Kumar Goel
{"title":"Quick Shelves for Medical and Retail Industries using RFID Technology","authors":"Uppada. Koteswar Rao, Vanam Guru Vasista, Narayanasetti Kiran Kumar, Settypalli Sumanth, C. V. Naga Harish, Mohit Kumar Goel","doi":"10.1109/ICPS55917.2022.00030","DOIUrl":"https://doi.org/10.1109/ICPS55917.2022.00030","url":null,"abstract":"Saving time is always a major concern of many customers. People spend too much time at marts and shopping malls to find perfect products, even though they do not want to. This paper presents how RFID technology is used as a solution for medical and retail stores to save time while searching for a product. Mainly focused on reducing the time of searching and maintaining a good shelf. Quick shelves can be able to point the location of a product without searching for too long, RFID (tags), RFID reader on arranging properly, helps to achieve a solution to save time. Saving time in an emergency is always a major concern for customers and for retailers. Explained the quick shelf and components used. A prototype has been made and explained to support this concept, also explained the fundamentals of technologies used. Listed possible problems faced by customers before using quick shelves and solutions for the problems are discussed. In the results, limitations of other researchers and advantages of our paper are mentioned. Some photos of our prototype are attached as proof to support our methodology.","PeriodicalId":263404,"journal":{"name":"2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128945067","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
State-of-Charge Estimation Algorithm for Li-ion Batteries using Long Short-Term Memory Network with Bayesian Optimization 基于贝叶斯优化的锂离子电池长短期记忆网络充电状态估计算法
2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS) Pub Date : 2022-05-01 DOI: 10.1109/ICPS55917.2022.00021
Akshat Dubey, Ayaan Zaidi, Ayushi Kulshreshtha
{"title":"State-of-Charge Estimation Algorithm for Li-ion Batteries using Long Short-Term Memory Network with Bayesian Optimization","authors":"Akshat Dubey, Ayaan Zaidi, Ayushi Kulshreshtha","doi":"10.1109/ICPS55917.2022.00021","DOIUrl":"https://doi.org/10.1109/ICPS55917.2022.00021","url":null,"abstract":"As Electric Vehicles begin to dominate the new era of the automotive industry, it has become imperative to ensure that their Li-ion batteries can be run under dynamic load conditions while ensuring a long life. Among the most critical metrics that ensure long battery life and protection from catastrophic failure of the battery pack is the Battery State-of-Charge (SOC) estimated by the Battery Management System (BMS). Therefore this metric must be estimated accurately in real-time without delays. This paper proposes a method to achieve the same by utilising a Long Short-Term Memory (LSTM) network (A type of gated-RNN architecture), coupled with the Bayesian Optimization (BO) algorithm to tune the network hyperparameters. First, the dataset is pre-processed and compiled into training, testing, and validation subsets. Next, key hyperparameters are recognized and optimized using the BO algorithm with the objective to minimize the Root Mean Squared Error (RMSE) of the validation data. Finally, the trained BO-LSTM network is evaluated using 4 test datasets with various ambient temperatures. It achieves an RMSE of 0.872% and a Mean Absolute Error (MAE) of 0.645% when tested at the ambient temperature of 40°C.","PeriodicalId":263404,"journal":{"name":"2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132739456","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
Methodology for the Transmission of Medical Images in Telehealth Systems 远程医疗系统中医学图像传输的方法学
2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS) Pub Date : 2022-05-01 DOI: 10.1109/ICPS55917.2022.00020
W. Auccahuasi, Lucas Herrera, K. Rojas, C. Ovalle, Monica Diaz, Jorge Figueroa Revilla, Ana Doris Magdalena Barrera Loza, Z. Ayvar, Edward Flores, Iván Perez, Esteban Medina Rafaile, Moisés Tongo
{"title":"Methodology for the Transmission of Medical Images in Telehealth Systems","authors":"W. Auccahuasi, Lucas Herrera, K. Rojas, C. Ovalle, Monica Diaz, Jorge Figueroa Revilla, Ana Doris Magdalena Barrera Loza, Z. Ayvar, Edward Flores, Iván Perez, Esteban Medina Rafaile, Moisés Tongo","doi":"10.1109/ICPS55917.2022.00020","DOIUrl":"https://doi.org/10.1109/ICPS55917.2022.00020","url":null,"abstract":"The Tics, make possible to design solutions related to the health area, in this opportunity we present an agile method for the transmission of medical images, to be used in telehealth systems, we present a practical method where we perform a remote diagnosis, sending a mask that corresponds to the affected areas, with the method, The method is demonstrated using computed tomography images of the brain detecting cysticercus, the method is practical and applicable to different telehealth systems and with possibilities to be implemented in different platforms.","PeriodicalId":263404,"journal":{"name":"2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121952184","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
Machine learning-based S-CNN model for automated post-covid X-RAY identification 基于机器学习的新冠肺炎后x射线自动识别S-CNN模型
2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS) Pub Date : 2022-05-01 DOI: 10.1109/icps55917.2022.00032
Suchismita Deb, Amiya Dey, Joyjit Patra, Monalisa Chakraborty, Subir Gupta
{"title":"Machine learning-based S-CNN model for automated post-covid X-RAY identification","authors":"Suchismita Deb, Amiya Dey, Joyjit Patra, Monalisa Chakraborty, Subir Gupta","doi":"10.1109/icps55917.2022.00032","DOIUrl":"https://doi.org/10.1109/icps55917.2022.00032","url":null,"abstract":"COVID-19 has transmuted the globe and spread throughout the world. The COVID has streamlined and expedited regional procedures. Because the disease spreads via people, the CO VID test and data are pretty prevalent in humans. It is therefore vital to identify those who are affected. It's time to get on with your life. Chest X-ray and CT-SCAN are the most commonly used CO VID testing procedures. A chest X-ray is the quickest and least expensive treatment. There are no cyclopean amplitude test packets for COVID employing chest X-ray and model. FCNN is a standard image processing algorithm. The model should be able to recognize CO VID from a photo quickly. We proposed an S-CNN model as the foundation for the whole CNN in the study. The model we developed is very adaptable to any gear system and has low temporal complexity. The method can detect COVID in an unknown image with 92 percent accuracy. The model provides a reasonable and adequate response for estimating COVID from private data.","PeriodicalId":263404,"journal":{"name":"2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125737502","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
Blockchain-Based Smart Home Gateway using Secure Chaotic Hash Function 使用安全混沌哈希函数的基于区块链的智能家庭网关
2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS) Pub Date : 2022-05-01 DOI: 10.1109/ICPS55917.2022.00009
F. Begum, Swapna Siddamsetti
{"title":"Blockchain-Based Smart Home Gateway using Secure Chaotic Hash Function","authors":"F. Begum, Swapna Siddamsetti","doi":"10.1109/ICPS55917.2022.00009","DOIUrl":"https://doi.org/10.1109/ICPS55917.2022.00009","url":null,"abstract":"There are a number of issues that existing authentication systems face in a smart community. These include insufficient authentication efficiency, an inflexible authentication methodology, and an unsecured data exchange server. The dependability and security of the proposed blockchain-based smart home strategy were extensively tested for confidentiality, integrity, and privacy, as well as other factors. In terms of the parameters of classic centralized architecture, blockchain technology is being used in the data storage and exchange blocks. To ensure data integrity both inside and outside of the smart home network, it is necessary to ensure that all users present in the network are authenticated. The network under consideration is built on the Ethereum platform. The performance measures to be considered were accuracy, security, and response time. The experimental results reveal that our proposed technique outperforms currently available techniques in terms of overall performance. In particular, when compared to other state-of-the-art systems, our proposed system has the highest accuracy of 96% and generates a stronger output in the second stage when compared to centralized architecture with an accuracy of 71%, representing a 25% difference in terms of improving the accuracy of smart homes.","PeriodicalId":263404,"journal":{"name":"2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124260037","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
Sustainable Power Sector in Bangladesh and Nature of IoT inBuilding Smart Grid 孟加拉国的可持续电力行业和物联网在建设智能电网中的性质
2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS) Pub Date : 2022-05-01 DOI: 10.1109/ICPS55917.2022.00013
D. Singh, Mohammad Ariful Islam, Mostaque Ahmed Sakil, S. M. Abdullah Rumi, Shiva Kumar Reddy Dandyala, Ahmed Abdellatif Ibrahim Osman
{"title":"Sustainable Power Sector in Bangladesh and Nature of IoT inBuilding Smart Grid","authors":"D. Singh, Mohammad Ariful Islam, Mostaque Ahmed Sakil, S. M. Abdullah Rumi, Shiva Kumar Reddy Dandyala, Ahmed Abdellatif Ibrahim Osman","doi":"10.1109/ICPS55917.2022.00013","DOIUrl":"https://doi.org/10.1109/ICPS55917.2022.00013","url":null,"abstract":"The evolution of power is the most important factor that helps to alleviate poverty and improve the people's financial situation in Bangladesh. Connecting environmentally friendly power sources to the country's energy needs will assist the country in satisfying its energy needs while also significantly contributing to the creation of a more sustainable earth. The article has looked at how the IoT-technology can work with the execution of unpredictable resources as well as the usual components of harmless-to-the-ecosystem power resources in Bangladesh. The regulatory and monetary aspects of the environmentally friendly power business have been investigated, and common-sense courses of action will be explored to speed up the integration of various environmentally friendly power sources in the future. The article illustrates the problem well with the renewable energy blend throughout Bangladesh's electricity generation mix as well as solutions to address it using IoT- technologies. An A RE plan for Bengal, which is adjacent to an imminent energy grid, has also been explored in this paper.","PeriodicalId":263404,"journal":{"name":"2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122393032","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
Optimization of Resource Scheduling and Allocation Algorithms 资源调度与分配算法的优化
2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS) Pub Date : 2022-05-01 DOI: 10.1109/icps55917.2022.00034
S. Rahul, Vinay Bhardwaj
{"title":"Optimization of Resource Scheduling and Allocation Algorithms","authors":"S. Rahul, Vinay Bhardwaj","doi":"10.1109/icps55917.2022.00034","DOIUrl":"https://doi.org/10.1109/icps55917.2022.00034","url":null,"abstract":"The expeditious growth of the Internet of Things (IoT), ubiquitous, networked computer gadgets will pervade commercial and private areas. Devices are accessed through the Internet, and resources are kept in the cloud. Because IoT devices are power-constrained, they cannot connect to the internet or the cloud directly. Fog Computing is used to link IoT devices to the Internet or the Cloud. Fog computing is a cloud computing extension in which processing is performed on edge devices or adjacent localized data centers or cloudlets. The most crucial factors influencing fog computing performance is resource management. Due to resource constraints, resource planning is a major concern in the IoT-Cloud-Fog system. Numerous studies have introduced optimization techniques like max min , FCFS, Round robin, min min, GA. As a result of this, the IoT-Fog-Cloud System saves time, money, and energy. The goal of resource scheduling is to choose the optimal resource from a variety of matching resources which are physically available. Following scheduling, resource allocation is carried out, with the goal of allocating the chosen resource to the job. In a Cloud context, resource allocation refers to the process of assigning available virtual machine instances to workloads. This paper discusses and analyzes Min-Min, Round robin, FCFS, SJF suitable for secluding considering the following parameters average waiting time , average response time and makespan. Finally, we propose a hybrid algorithm and compare the recommended algorithm with the existing algorithm in terms of effectiveness","PeriodicalId":263404,"journal":{"name":"2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126734489","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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