{"title":"Grid Connected Photovoltaic Systems Design and Simulation based on MPPT Strategy","authors":"Anu G Pillai, Vijayalaxmi Birader","doi":"10.1109/WCONF58270.2023.10234997","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10234997","url":null,"abstract":"This article introduces modeling and computer simulation of a connected grid system of 250 KW photovoltaic system with MATLAB. Non-Conventional energy sources such as solar and wind energy ensure a clean, green and environmentally friendly environment much energy. As the demand for electricity increases, so do the power outages. To meet the constant load demand renewable energy sources are used. As Ambient conditions affects the photovoltaic generator low efficiency is achieved, hence the maximum power tracking is a peak power measurement technique required to maximize the energy product. Through a fully distributed system of energy resources (DER) solar voltaic system converts suns energy into direct current by using semiconductors. This project contains Solar module and is monitored, optimized algorithm to maximum Power Point Tracking (MPPT). This article uses MPPT formula. The P&O MPPT set of rules is primarily depends totally at the PV output strength calculation and alternate strength through sampling PV present day and PV voltage. In this module single phase inverter is integrated with grid by using an isolation transformer. Switching and converter operation is increased, proportional integrators are verified due to integration of single-phase inverter and grid. MATLAB software is used for simulation results and mathematical analysis.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130389442","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}
{"title":"Optimal utilization of UPQC using Rao-2 Algorithm","authors":"Swati Gade, Rahul Agrawal, Rakesh Jha, Dipak Patil","doi":"10.1109/WCONF58270.2023.10235231","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235231","url":null,"abstract":"Nowadays for compensation for various power quality issues a unified power quality conditioner (UPQC) is found the most suitable and effective compensating device. Variable phase angle control method used to control both power electronic converters (PEC) improves the utilization making the UPQC efficient and economical. Rao-2 algorithm is used to optimize the utilization of UPQC in this research paper. The superiority of the Rao-2 algorithm over the JAYA algorithm is demonstrated through a comparison of the output results. This article will aid researchers in the development of improved control systems based on optimization techniques for the most efficient use of UPQC.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115080596","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}
{"title":"Computer Network Security and Practical Technology Application in the Era of Big Data","authors":"Zongxi Feng","doi":"10.1109/WCONF58270.2023.10235165","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235165","url":null,"abstract":"The role of network security in computer networks is very important, but there is a problem that the network environment is not secure. Ordinary methods cannot solve network security problems in computer networks, and the results are not ideal. Therefore, this paper proposes a cloud computing for network security analysis. First of all, the computer is used to analyze the network information, network security in the interfering factor. Then, the computer improves the network security, forms the network security program, and conducts the network security results Comprehensive analysis. MATLAB simulation shows that under certain evaluation criteria, cloud computing has a data confidentiality and network in computer network security Data integrity is superior to common methods.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115236887","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}
Srinivasa Rao Burri, D. K. Agarwal, Narayan Vyas, Ronak Duggar
{"title":"Optimizing Irrigation Efficiency with IoT and Machine Learning: A Transfer Learning Approach for Accurate Soil Moisture Prediction","authors":"Srinivasa Rao Burri, D. K. Agarwal, Narayan Vyas, Ronak Duggar","doi":"10.1109/WCONF58270.2023.10235220","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235220","url":null,"abstract":"This research aims to develop a Machine Learning model for predicting soil moisture levels, which may be used to construct smart irrigation systems. The model was evaluated and trained using data from the “Smart Irrigation System Dataset” made publicly available by the University of California, Irvine. A transfer-learned ResNet50 model is evaluated using various classification measures like accuracy, recall, precision, and area under the ROC curve (AUC). The proposed model has an AUC of 0.95, meaning it correctly identifies positive and negative samples 95% of the time. Moreover, the model’s performance is measured against that of other famous machine learning models like logistic regression, Support Vector Machines (SVM), K-Nearest Neighbours (KNN), random forests, decision trees, and naive Bayes, with the majority of these conventional models being outperformed. These findings have ramifications for researchers and engineers creating intelligent irrigation systems for precision agriculture.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115729479","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}
Saurabh Mishra, Ankit Gupta, Ankit Tomar, V. K. Gupta
{"title":"Health Care Prediction for Various Diseases using Computational Intelligence Approaches: A Review","authors":"Saurabh Mishra, Ankit Gupta, Ankit Tomar, V. K. Gupta","doi":"10.1109/WCONF58270.2023.10235128","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235128","url":null,"abstract":"Today computational intelligence is one of the most intriguing study fields in healthcare that is rapidly developing. To find new patterns in healthcare associations that are appropriate for all the gatherings in this industry. This is another noteworthy development that has the computer industry very excited. It is a branch of software engineering that makes use of officially available data present in distinct databases to transform it into fresh examinations and outcomes. It affects how artificial intelligence, machine learning, and database management system are used to extract new instances from large data sets and the data associated with those examples. The real task is to extract data using a self-loader or programmed means. Computational intelligence approaches use a variety of parameters including grouping, determining, way of examination, and visionary research. The review done in this study will aid the users in choosing computational intelligence approaches. Moreover, this review will help research scholars who want to work to address decision-making problems in cloud computing.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114160988","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}
{"title":"The Smart Analysis of Multi-Attention Based Sentimental Optimization Model for Complex Data Fusion in High Density Cloud Servers","authors":"Preetjot Singh","doi":"10.1109/WCONF58270.2023.10235248","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235248","url":null,"abstract":"Multi-attention based sentimental optimization model for complex data fusion is a new hybrid model for sentiment analysis of complicated datasets. It combines multiple complementary mechanisms, including a recurrent neural network (RNN) with an attention memory network and an administrative technique to organize multi-modal training data. The model can not only provide high accuracy in sentiment categorization, but also be able to learn from partially labeled training data. Firstly, the RNN helps to capture detailed and complex information from the mixtures of heterogeneous features. Also, the attention memory network helps to summarize high-level features of the data and establish correspondent relationships with other dimensions of the input data. Finally, the administrative technique helps to make use of multiple sources of knowledge to optimize the model performances. This hybrid model has the ability to capture cross-modal relations and common features of multiple datasets and allows for a more effective fusion process. In summary, the multi-attention based sentimental optimization model for complex data fusion is an effective and efficient tool for sentiment analysis.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115420770","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}
{"title":"Study of Nanosheet Performance by Varying the Aspect Ratio","authors":"Ellapu Bhanu Prakash, R. Dhar","doi":"10.1109/WCONF58270.2023.10235175","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235175","url":null,"abstract":"With FETs being scaled continuously, short channel effects can be experienced as a result. The main objective of this paper is to design and analyze the nanosheet GAA FET with equal aspect ratio of width to height and propose a nanosheet devices with reduced width and height by incorporating three nanowires with underlap. Each device is stimulated and its performance is observed. This paper investigates the effect of short channel effects on the performance of nanosheet GAA FETs, with a focus on minimizing SCEs. Short channel effects are observed in these devices and note that some parameters are enhanced. The short channel effects such as subthreshold slope and DIBL is the factors that increase the device’s short channel performance as a result of the observed improvements. In nanosheet GAA FETs, the ON-state current is getting more. In order to achieve a large ON-state current, designing nanowire devices with underlaps on either side of the channel is one of the techniques. Three nanowires are employed to design the nanosheet GAA FET, which consists of bulk and underlapped source/drain regions. The characteristics of all the three devices are investigated and it is seen that the ON-state current is reduced due to decrease of carriers flow from source to drain through the channel in proposed devices and also reduce the OFF-state current which provides the improved short channel performance in proposed devices. By reducing the channel height, the device is proved the better ON current and reducing of device width provides the enhanced short channel performances of nanosheet.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123214884","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}
{"title":"Optimization Design and Application of Training Evaluation Model for Power Enterprises based on Ant Colony Algorithm","authors":"Yuanzhong Wu","doi":"10.1109/WCONF58270.2023.10235188","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235188","url":null,"abstract":"Electric power is a renewable and sustainable energy. It has the potential to meet the world’s growing demand for electricity. The use of power in our daily life has become an important part of our lifestyle, and it is also considered to be one of the most important sources of income for many people. This paper will discuss the optimization design and application of the training evaluation model of power enterprises based on ant colony algorithm. Training optimization design is to design the best training method to solve a given problem by considering all possible methods that can be used to solve a given problem. The training evaluation model is to evaluate the effectiveness of the optimal training method through the following methods.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"508 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123065311","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}
R. Kavitha, Kdv Prasad, S. Archana Shreee, B. Maheshwari, G. Jeevitha Sai, V. Dankan Gowda
{"title":"A Novel Method of Identification of Delirium in Patients from Electronic Health Records Using Machine Learning","authors":"R. Kavitha, Kdv Prasad, S. Archana Shreee, B. Maheshwari, G. Jeevitha Sai, V. Dankan Gowda","doi":"10.1109/WCONF58270.2023.10235245","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235245","url":null,"abstract":"In most cases, the mental impairment caused by delirium may be treated and eventually reversed. Lack of concentration, disorientation, incoherent thought, and fluctuating degrees of awareness (consciousness) are all symptoms. Delirium, an acute neuropsychiatric disorder characterised by inattention and generalised cognitive impairment, is common, hazardous, and generally linked with poor results. Patients with delirium are at increased risk for adverse outcomes throughout their time in the critical care unit. It requires time and medical competence to diagnose delirium. Those at risk of developing delirium should be identified as soon as possible. Once a diagnosis has been made, the treatment process may be lengthy and include several groups working together. This paper’s goal is to show how a model may be built to diagnose delirium using Electronic Health Record data employing a Machine Learning technique.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124296299","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}
Zara Iqbal, Sai Kumaresh, Shreyansh Satapathy, S. Asha
{"title":"Captcha Generator for Visually Impaired (Colour-Blind)","authors":"Zara Iqbal, Sai Kumaresh, Shreyansh Satapathy, S. Asha","doi":"10.1109/WCONF58270.2023.10235076","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235076","url":null,"abstract":"Today's Internet users come from a variety of ages and groups. Humans enabled in other ways also use the Internet. Some websites are designed for people with special needs. Many websites offer human user services, but unfortunately some computer programs are designed to exploit this service. As a result, a specific system called captcha was introduced (Completely Automated Public Turing test to Tell Computers and Humans Apart). For security and privacy purposes websites widely use CAPTCHAs. However, for individuals with visual impairments, traditional text-based CAPTCHAs are not very suitable. With many captchas already in place to help the visually impaired no such captcha exists that specially aims to aid the colour-blinded in using captchas. In this research paper we have tried to understand and showcase how the colour-blinded can be aided in using captchas. To achieve the same, ML has been used.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130013591","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}