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2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)最新文献

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Designing of Photovoltaic Cell Based Modified Impedance (Z)-Source Integrated Electric Vehicle DC Charger/ Inverter 基于光伏电池的改进阻抗(Z)源集成电动车直流充电器/逆变器设计
2020 9th International Conference System Modeling and Advancement in Research Trends (SMART) Pub Date : 2020-12-04 DOI: 10.1109/SMART50582.2020.9337091
Shital D. Kadam, V. Panchade
{"title":"Designing of Photovoltaic Cell Based Modified Impedance (Z)-Source Integrated Electric Vehicle DC Charger/ Inverter","authors":"Shital D. Kadam, V. Panchade","doi":"10.1109/SMART50582.2020.9337091","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337091","url":null,"abstract":"Solar or PV cell based energy has been the most well-known wellsprings of sustainable power source for private and business applications. Variances of sunlight based vitality reaped because of barometrical conditions can be moderated through vitality stockpiling frameworks. Sun oriented vitality can likewise be utilized to charge the batteries of electric vehicle (EV) to diminish the reliance on the AC network. One of the converter used for PV cell based applications is to have a minimum number of changes organizes and give segregation. Impedance (Z) -source inverter topology can evacuate numerous stages and accomplish voltage lift and DC-AC power converter in a solitary stage. The utilization of uninvolved parts likewise displays a chance to incorporate vitality stockpiling frameworks (ESS) into them. This suggested paper presents displaying, plan and activity of an adjusted Modified Z-source inverter incorporated with a split essential confined battery charger for charging of electric vehicles (EV).","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122987396","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
Cloud Computing: Comparison and Analysis of Cloud Service Providers-AWs, Microsoft and Google 云计算:云服务提供商的比较与分析——aws、微软和谷歌
2020 9th International Conference System Modeling and Advancement in Research Trends (SMART) Pub Date : 2020-12-04 DOI: 10.1109/SMART50582.2020.9337100
Dr. Manish Saraswat, Dr. R. C. Tripathi
{"title":"Cloud Computing: Comparison and Analysis of Cloud Service Providers-AWs, Microsoft and Google","authors":"Dr. Manish Saraswat, Dr. R. C. Tripathi","doi":"10.1109/SMART50582.2020.9337100","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337100","url":null,"abstract":"The cloud computing refers to network that enables to distribute processing, application, storage capabilities among many remote located computer systems. In cloud computing platform the IT resources are utilized and released as per the requirement by using internet. It is a better option to organizations and ordinary users to utilize services (IaaS, PaaS, SaaS, DaaS etc) as provided by cloud service providers and need pay as use. Currently a large number of service providers in market and due to diversity of features and services, it very difficult to find suitable provider for s for long term needs. As per market share top three providers are Amazon, Microsoft and Google. In this paper we will analysis some of the tools such as compute, storage space management and performance offered by AWS, Azure and GCP which are the top three market leaders in cloud computing technology. In this paper, we will summarize and compare the features of AWS, Azure & GCP to provide help to organizations and users to choose the suitable features which will fulfill the long term requirements of the users.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128664766","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: 13
The Effectual Real- Time Processing using Green Cloud Computing: A Brief Review 基于绿色云计算的有效实时处理技术综述
2020 9th International Conference System Modeling and Advancement in Research Trends (SMART) Pub Date : 2020-12-04 DOI: 10.1109/SMART50582.2020.9337066
Himanshu Sharma, J. Singh
{"title":"The Effectual Real- Time Processing using Green Cloud Computing: A Brief Review","authors":"Himanshu Sharma, J. Singh","doi":"10.1109/SMART50582.2020.9337066","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337066","url":null,"abstract":"The performance in terms of energy efficient and low latency allocations of the cloud computing scenarios to reduce the failures of the processes is not an easy task. Many factors are needed to be considered. In cloud computing which is measure of data and communication knowledge that accomplished to achieve the effectual usage of assets and energy. The data centers in a static manner represent a massive proportion of the corporations' energy rate subsequently the procedure is uninterruptedly growing. Ever since this matter took communication, the number of inquiries on energy effectiveness and the green field has been increasing. Green cloud computing characterizes a clarification to allow corporations and users to practice the cloud and all its benefits while sinking the negative environmental effect and general costs over energy effectiveness, carbon track and e-waste lessening. Applications and performance to make firms more ecological strong are being established or arranged on a daily basis. Different characteristics are treated in establishments to accomplish green cloud computing. This paper put more light on different techniques to attain green computing and its efficiency in the real world.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124009357","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
Performance Comparison of Classification Models for Diabetes Prediction 糖尿病预测分类模型的性能比较
2020 9th International Conference System Modeling and Advancement in Research Trends (SMART) Pub Date : 2020-12-04 DOI: 10.1109/SMART50582.2020.9337123
S. Bamal, M. Gupta, Nidhi Sewal, Amit Kumar Sharma
{"title":"Performance Comparison of Classification Models for Diabetes Prediction","authors":"S. Bamal, M. Gupta, Nidhi Sewal, Amit Kumar Sharma","doi":"10.1109/SMART50582.2020.9337123","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337123","url":null,"abstract":"Diabetes is an incessant illness and a significant general wellbeing challenge worldwide and adds to nerve harm, visual deficiency, coronary illness, expands the dangers of creating kidney sickness and coronary illness and vein harm. The fundamental goal of this work is to plan a classification model by utilizing the machine learning methods. Counts are done to anticipate diabetes in patients at a beginning phase with most extreme exactness by utilizing machine learning classification algorithm specifically SVM, Naive Bayes, Decision tree, Random Forest, Linear Regression, and K-NN, Neural Network. Dataset is taken from UCI (Machine Learning Repository) and calculations and tests are done on the dataset and result got shows Neural Net, improved k-NN, and improved Random Forest beats with most elevated precision of (96%) and (93%) and (78.8%) nearly different calculations.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129107502","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
Visualizing Big Data with Mixed Reality 利用混合现实实现大数据可视化
2020 9th International Conference System Modeling and Advancement in Research Trends (SMART) Pub Date : 2020-12-04 DOI: 10.1109/SMART50582.2020.9337072
Vivek Kumar, D. Sharma, V. Mishra
{"title":"Visualizing Big Data with Mixed Reality","authors":"Vivek Kumar, D. Sharma, V. Mishra","doi":"10.1109/SMART50582.2020.9337072","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337072","url":null,"abstract":"The visualization helps understand the data. It is a technique to show outliers, noise and worthy data with the help of charts, graphs, plots, and various other techniques. The size of data is changing with time and becoming big data. The visualization of big data is becoming a challenge. This paper explores various state-of-the-art techniques and implements these techniques on Unity3D as a virtual reality (VR) application. The paper concludes that VR, AR and MR visualization techniques are better techniques to understand the big data with a 3D visualization and real time interaction.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133024625","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
System Modeling & Advancement in Research Trends 系统建模与研究趋势进展
2020 9th International Conference System Modeling and Advancement in Research Trends (SMART) Pub Date : 2020-12-04 DOI: 10.1109/smart50582.2020.9337086
{"title":"System Modeling & Advancement in Research Trends","authors":"","doi":"10.1109/smart50582.2020.9337086","DOIUrl":"https://doi.org/10.1109/smart50582.2020.9337086","url":null,"abstract":"","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132682170","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
Depth Accuracy Determination in 3-D Stereoscopic Image Retargeting using DMA 基于DMA的三维立体图像重定位深度精度确定
2020 9th International Conference System Modeling and Advancement in Research Trends (SMART) Pub Date : 2020-12-04 DOI: 10.1109/SMART50582.2020.9337117
M. Jagtap, R. Tripathi, D. Jawalkar
{"title":"Depth Accuracy Determination in 3-D Stereoscopic Image Retargeting using DMA","authors":"M. Jagtap, R. Tripathi, D. Jawalkar","doi":"10.1109/SMART50582.2020.9337117","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337117","url":null,"abstract":"Selecting the proper aspect ratio and managing the image depth can improve the visual quality of image in terms of lowering or minimizing the depth distortion score. The technology enhanced by observing the people habit to carry the small mobile handheld devices and their interest in watching the contents over it. So, the technology improved by retargeting the images with different sizes and aspect ratio by still preserving the image contents without cropping or scaling the originality. The popular stereo image retargeting method is proposed to visualize the 3D images in better aspect for human stereo visual experience to viewer. We conduct the experimental result that shows the adjustment of aspect ratio in order to achieve the better visualization effect and less depth distortion in the image. During the retargeting processing, the usability of depth similarity is used. The depth similarity can be applied before and after the retargeting. The Disparity Map Acquisition (DMA) along with its modified version will give the better 3D visual effects.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116184574","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
Analysis of Social Network using Data Mining Techniques 基于数据挖掘技术的社交网络分析
2020 9th International Conference System Modeling and Advancement in Research Trends (SMART) Pub Date : 2020-12-04 DOI: 10.1109/SMART50582.2020.9337153
Shubhi Goel, R. K. Dwivedi, Anu Sharma
{"title":"Analysis of Social Network using Data Mining Techniques","authors":"Shubhi Goel, R. K. Dwivedi, Anu Sharma","doi":"10.1109/SMART50582.2020.9337153","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337153","url":null,"abstract":"The objective of this paper is to build a model to understand how “opinions” about a certain topic get formed. In our model of the world, an opinion has two elements: Abstraction: What the opinion is about, for e.g. an opinion on demonetisation can be ‘about a topic’ such as “Digital India”, Corruption, PM Modi, etc. Expression: The “sentiment” of the opinion, i.e. positive, negative or neutral. Further, we say that when multiple opinions are shared among people, similar opinions start teaming up, reinforce other similar opinions, and thus become stronger. In other words, people start supporting other people having similar opinions, and as a result, opinions turn into narratives.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121340471","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
Speed Control of BLDC Motor fed from Solar PV Array using Particle Swarm Optimization 基于粒子群算法的太阳能光伏阵列无刷直流电机转速控制
2020 9th International Conference System Modeling and Advancement in Research Trends (SMART) Pub Date : 2020-12-04 DOI: 10.1109/SMART50582.2020.9337111
Prakhar Srivastava, V. Tiwari
{"title":"Speed Control of BLDC Motor fed from Solar PV Array using Particle Swarm Optimization","authors":"Prakhar Srivastava, V. Tiwari","doi":"10.1109/SMART50582.2020.9337111","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337111","url":null,"abstract":"In this paper, Brushless DC motor speed has been controlled using the Particle Swarm Optimization (PSO) technique. Appropriate parameters i.e. Kp and Ki for the PI controller can be found using the PSO technique. The system is supplied from a Solar PV Array along with the MPPT technique to fetch its maximum efficiency from the solar array. The end result shows that the Solar fed controller based on PSO can control the BLDC motor speed.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"356 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120836208","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
Vietnamese Question Answering System f rom Multilingual BERT Models to Monolingual BERT Model 从多语言BERT模型到单语言BERT模型的越南语问答系统
2020 9th International Conference System Modeling and Advancement in Research Trends (SMART) Pub Date : 2020-12-04 DOI: 10.1109/SMART50582.2020.9337155
Nguyen Thi Mai Trang, M. Shcherbakov
{"title":"Vietnamese Question Answering System f rom Multilingual BERT Models to Monolingual BERT Model","authors":"Nguyen Thi Mai Trang, M. Shcherbakov","doi":"10.1109/SMART50582.2020.9337155","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337155","url":null,"abstract":"A question answering (QA) system based on natural language processing and deep learning gets more attention from AI communities. Many companies and organizations are interested in developing automated question answering systems which are being researched widely. Recently, the new model named Bidirectional Encoder Representation from Transformer (BERT) was proposed to solve the restrictions of NLP tasks. BERT achieved the best results in almost tasks that include QA tasks. In this work, we tried applying the multilingual BERT models (multilingual BERT [1], DeepPavlov multilingual BERT, multilingual BERT fine-tuned on XQuAD) and the language-specific BERT model for Vietnamese (PhoBERT). The obtained result has shown that the monolingual model outperforms the multilingual models. We also recommend multilingual BERT fine-tuned on XQuAD model as an option to build a Vietnamese QA system if the system is built from a multilingual BERT based model.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129422970","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
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