2022 International Conference on Emerging Smart Computing and Informatics (ESCI)最新文献

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IMPLEMENTATION - Surplus resources to Private Cloud 实现-私有云的剩余资源
2022 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2022-03-09 DOI: 10.1109/ESCI53509.2022.9758209
Harsh Oswal, Shivani Bhalsakle, M. Swami
{"title":"IMPLEMENTATION - Surplus resources to Private Cloud","authors":"Harsh Oswal, Shivani Bhalsakle, M. Swami","doi":"10.1109/ESCI53509.2022.9758209","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758209","url":null,"abstract":"Cloud computing offers a unique set of features and provides a highly efficient and scalable solution to hosting. All business companies and educational institutions use some or the other hosting platform to host their software and applications on the Cloud. Moreover, many such institutions or businesses have unused or surplus computing resources even though they are working perfectly but have less computing power or resources to run as a regular workstation, hence resulting in e-waste. This paper presents an approach to integrating these surplus computing resources to form one single datacenter Private Cloud, which can run software, containers and virtual machines and then test its efficacy for different types of hypervisors. An experimental setup is formalised to achieve the results and study the theoretical and practical usable resource values for this approach, and formula is derived to find them. The single-core performance of the Virtual Machines and the Containers are compared for the various operating system for different hypervisors.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121643537","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
Honey-Bee based Load Balanced Packet Scheduling MAC Protocol for IoT-enabled Healthcare System 基于蜜蜂的负载均衡分组调度MAC协议的物联网医疗保健系统
2022 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2022-03-09 DOI: 10.1109/ESCI53509.2022.9758384
A. Sahoo, R. K. Lenka, T. Samal, B. R. Parida
{"title":"Honey-Bee based Load Balanced Packet Scheduling MAC Protocol for IoT-enabled Healthcare System","authors":"A. Sahoo, R. K. Lenka, T. Samal, B. R. Parida","doi":"10.1109/ESCI53509.2022.9758384","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758384","url":null,"abstract":"The use of Internet of Things (IoT) in the healthcare domain has solved the most problematic healthcare issues of human being. Wireless Body Area Network (WBAN) is a significant breakthrough of IoT. However energy efficiency & reliable transmission of Quality of Service (QoS) parameter of WBAN has been a challenging task for the researchers. In this context, a Honey-BEE algorithm has been introduce for load balance between queues and scheduling of data packets from the queues of PD. This paper has the major contribution is to minimize packet drop, resulting in enhanced WBAN QoS characteristics. The simulation results demonstrate the proposed mechanism produce significant improvement to its counterparts based on average packet delay, throughput, and energy usage and packet delivery ratio.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"422 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122879609","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
Comparative Analysis of Liver diseases by using Machine Learning Techniques 利用机器学习技术对肝脏疾病的比较分析
2022 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2022-03-09 DOI: 10.1109/ESCI53509.2022.9758256
D. Rajan, K. Kannan, P. Divya, S. Velliangiri
{"title":"Comparative Analysis of Liver diseases by using Machine Learning Techniques","authors":"D. Rajan, K. Kannan, P. Divya, S. Velliangiri","doi":"10.1109/ESCI53509.2022.9758256","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758256","url":null,"abstract":"In a human body function of the liver is important. Many persons are suffering from liver disease, but they don't know it. The identification of liver diseases in the early stage helps a patient get better treatment. If it is not diagnosed earlier, it may lead to various health issues. To solve these issues, physicians need to examine whether the patient has been affected by liver disease or not, based on the multiple parameters. In this paper, we classify the patients who have liver disease or not by using different machine learning algorithms by comparing the performance factors and predicting the better result. The liver dataset is retrieved from the Kaggle dataset.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116768698","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
Neoteric Experimental PLC Configuration Using Wireless Local Area Network (WLAN) Technology in Paper Industry 基于无线局域网(WLAN)技术的造纸工业新型实验PLC配置
2022 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2022-03-09 DOI: 10.1109/ESCI53509.2022.9758387
D. Selvakarthi, D. Sivabalaselvamani, V. Sanjana, S. Vikashini, J. Yogachandran
{"title":"Neoteric Experimental PLC Configuration Using Wireless Local Area Network (WLAN) Technology in Paper Industry","authors":"D. Selvakarthi, D. Sivabalaselvamani, V. Sanjana, S. Vikashini, J. Yogachandran","doi":"10.1109/ESCI53509.2022.9758387","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758387","url":null,"abstract":"Over past years, field bus's introduction, improved control systems, and network connection has resulted in significant advances in data acquisition in industrial automation. In paper industries, the field bus is utilized as a universal element for network communication. The field buses can transfer both analogue and digital signals via a single wire. Using the superimposing technique, create an interface bus. Unfortunately, this method of signal transmission necessitates the use of buses, which take up a lot of space in factories. Wireless Local Area Network technology is being utilized instead of field buses for interfacing. Profibus and Ethernet are combined for communication in WLAN technology, resulting in profinet. This method of communication reduces the requirement for bus wires, allowing for more flexibility and excellent performance as an added feature. Configuration of Programmable Logic Controller (PLC) using WLAN technology through an engineering station, as well as wireless simulation of digital input and output with scalene module reduce the breakdown maintenance in paper industries over prolonged periods of time. It is a very feasible method to operate the field devices from anywhere within the engineering station.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115787288","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
Automated Diagnosis of Pneumonia through Capsule Network in conjunction with ResNet50v2 model 结合ResNet50v2模型的胶囊网络肺炎自动诊断
2022 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2022-03-09 DOI: 10.1109/ESCI53509.2022.9758184
Nikhil Rajan Raje, Ashish Jadhav
{"title":"Automated Diagnosis of Pneumonia through Capsule Network in conjunction with ResNet50v2 model","authors":"Nikhil Rajan Raje, Ashish Jadhav","doi":"10.1109/ESCI53509.2022.9758184","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758184","url":null,"abstract":"The world has witnessed one of the most devastating phases in the history of mankind after being hit with the COVID-19 pandemic which still continues to spread rapidly all across the globe. The disease is believed to majorly cause respiratory disorders in humans. Detecting COVID-19 patients through X-Ray images is the only way to slow down the expansion of the pandemic, detecting pneumonia has equally become a demanding task as both exhibit similar properties of affecting the human lungs. Pneumonia is said to be an illness caused by a bacteria in the alveoli of lungs that may accompany to the death of an individual if its treatment is ignored. Hence, developing an automated system to detect the disease can be beneficial to the human race. With continuous progressions in the expertise of deep learning and machine learning; its fundamentals are observed to continuously contribute towards analysis of medical images and classification of patients exhibiting the disease. In this work, we appraise the concepts of ResNet50v2 model and capsule network to predict the affected and unaffected patients using chest X-Ray images. The authors propose a novel classification framework consisting of a convolutional layer, primary capsule layer and digit capsule layer, wherein the radiographic images are categorized through dynamic routing followed by disease prediction through ResNet50v2 model. The proposed work is implemented on images with a resolution of $224 times 224$ and a batch size of 10. Further, parametric functions are applied to verify the model being trained.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115116649","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
An Empirical Investigation Of Dynamics Of Institutional Investors' Trading Behaviour And Stock Market Returns In India During COVID-19 Period 2019冠状病毒病期间印度机构投资者交易行为与股市收益动态的实证研究
2022 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2022-03-09 DOI: 10.1109/ESCI53509.2022.9758361
R. Katoch
{"title":"An Empirical Investigation Of Dynamics Of Institutional Investors' Trading Behaviour And Stock Market Returns In India During COVID-19 Period","authors":"R. Katoch","doi":"10.1109/ESCI53509.2022.9758361","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758361","url":null,"abstract":"The study has explored the dynamic interaction between Foreign Institutional Investors (FII) net investments and Domestic Institutional Investors (DII) net Investments in the Indian stock market for positive and negative feedback trading in both pre and during the COVID period. The study has applied multivariate causality model VAR and found FII series become much more responsive to NIFTY returns in the COVID period. Also, FII investments become more informative during the COVID period. When compared with the pre-Covid period, the effect of DII owned lagged investments has been dominated by the increased effect of FII net investments and NIFTY returns in shaping DII influx in the COVID period. NIFTY returns become nonresponsive to shocks in FII and DII net investments in the COVID period. The study can have substantial inferences for institutional fund flows to revive the Indian stock market from the shocks of COVID-19.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126266180","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
Maximum Response Mechanism in Vehicular Cooperative Caching for C-V2X Networks C-V2X网络车辆协同缓存的最大响应机制
2022 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2022-03-09 DOI: 10.1109/ESCI53509.2022.9758199
Zhiwei Qiu, Tianwu Lin, Zhexin Xu, Min Xiao
{"title":"Maximum Response Mechanism in Vehicular Cooperative Caching for C-V2X Networks","authors":"Zhiwei Qiu, Tianwu Lin, Zhexin Xu, Min Xiao","doi":"10.1109/ESCI53509.2022.9758199","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758199","url":null,"abstract":"In the existing urban traffic scenarios, in order to realize the high request response rate and low response delay of V2V communication in the highly dynamic vehicle topology and reduce the response burden of vehicles, the influencing factors of request response rate in vehicle communication are studied, and the influence laws of vehicle file cache capacity, response times and traffic density on request response rate are summarized. We proposed the maximum response mechanism in vehicle Cooperative Cache in C-V2X network, and designed the maximum response algorithm (MRA). Firstly, the base station integrates and allocates the requests and responses of vehicles, sorts them according to the number of requests, and constructs a total request table. Vehicles respond according to the total request table. The whole process is coordinated by the base station and vehicle nodes. In comparison with other response algorithms, the MRA can achieve higher request response rate when the file cache capacity and response times of the vehicle are less and the traffic density is sparse, and the response burden of the vehicle is the smallest.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"18 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114034972","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
Su-Do-Ku Game Puzzle for Improving Shade dispersion factor on PV Array Systems under PSCs: Experimental Validation PSCs下改善光伏阵列系统色散因子的Su-Do-Ku游戏难题:实验验证
2022 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2022-03-09 DOI: 10.1109/ESCI53509.2022.9758362
R. Pachauri, Ankur Kumar Gupta, A. Minai, M. Kumar, Shashikant
{"title":"Su-Do-Ku Game Puzzle for Improving Shade dispersion factor on PV Array Systems under PSCs: Experimental Validation","authors":"R. Pachauri, Ankur Kumar Gupta, A. Minai, M. Kumar, Shashikant","doi":"10.1109/ESCI53509.2022.9758362","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758362","url":null,"abstract":"Partial shading conditions (PSCs) are the most significant impediment to photovoltaic (PV) system performance. The cause of PSCs is due to high rise buildings, passing clouds, overcast weather, and telecom towers etc. in urban areas. The conventional PV array, e.g., Total cross-tied (TCT) configuration, is utilized to show the effectiveness of PSCs. In addition, integer number placement of Su-Do-Ku model is introduced to reduce the impact of shading. Furthermore, a comprehensive comparison carries out to reduce the shading impact on PV array systems. This elaborated comparative study analysis is based on distinguished performance parameters such as, short-circuit current ($I_{SC}$), open-circuit voltage ($V_{OC}$), power and voltage at global maximum power point (GMPP), minimized power loss (PL), and fill factor (FF) are measured to show the efficient behaviour of new approach. Moreover, MATLAB/Simulink analysis proves the efficiency of the suggested method by reducing the many peaks and improving the resultant power. An experimental study was introduced to validate the obtained results and confirm the practicability of the present study.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127938416","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: 7
Integration of CQCC and MFCC based Features for Replay Attack Detection 基于CQCC和MFCC特征的重放攻击检测集成
2022 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2022-03-09 DOI: 10.1109/ESCI53509.2022.9758391
Amol Chaudhari, D. K. Shedge
{"title":"Integration of CQCC and MFCC based Features for Replay Attack Detection","authors":"Amol Chaudhari, D. K. Shedge","doi":"10.1109/ESCI53509.2022.9758391","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758391","url":null,"abstract":"This paper evaluates the performance of integration of CQCC and MFCC based features for automatic speaker verification (ASV) system. The detection of replay attack is challenging. For the detection of spoofing attacks, it is important to focus on front-end processing i.e., feature extraction. This paper discusses feature extraction techniques, LPC, MFCC and CQCC. The performance of baseline $text{CQCC}+text{GMM}, text{LPC}+text{GMM}$, and $text{MFCC}+text{GMM}$ is evaluated on ASVspoof 2017 version 2 dataset. Further, integration of CQCC and MFCC showed improved performance resulting in EER 10.18%.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131146167","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
Nonlinear System Identification Using Robust Fusion Kernel-Based Radial basis function Neural Network 基于鲁棒融合核的径向基函数神经网络非线性系统辨识
2022 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2022-03-09 DOI: 10.1109/ESCI53509.2022.9758338
Rakesh Kumar Pattanaik, M. Mohanty
{"title":"Nonlinear System Identification Using Robust Fusion Kernel-Based Radial basis function Neural Network","authors":"Rakesh Kumar Pattanaik, M. Mohanty","doi":"10.1109/ESCI53509.2022.9758338","DOIUrl":"https://doi.org/10.1109/ESCI53509.2022.9758338","url":null,"abstract":"In this paper, authors have proposed, a robust Fusion kernel-based Radial basis function (RBF) neural network algorithm is proposed. The objective is to solve dynamic nonlinear system identification problems. The proposed algorithm is a Fusion of both the Gaussian and Cosine, which is capable of updating the weight of kernels by using the gradient descent method. The weight updating process enhances its adaptive learning capabilities. The proposed model is further tested with an ARMA model to prove its superiority. The comparison results illustrate, the proposed method achieves good performance over other models. The performance is evaluated through mean square error (MSE). IN the testing phase the model achieves a very low Mean squared error compared to the existing approach.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132816301","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
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