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2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)最新文献

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Design and Enactment of Bendable Micro Strip Probe for Wireless Bids 无线投标可弯曲微带探头的设计与实现
2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8551131
A. Muthumanicckam, N. Janakiraman
{"title":"Design and Enactment of Bendable Micro Strip Probe for Wireless Bids","authors":"A. Muthumanicckam, N. Janakiraman","doi":"10.1109/ICCTCT.2018.8551131","DOIUrl":"https://doi.org/10.1109/ICCTCT.2018.8551131","url":null,"abstract":"A smaller rectangular microstrip radio wire with conservative length is intended to cover 2.54 GHz in this paper. The recieving wire geometry joins a roundabout opening. Roundabout polarization is accomplished by the utilization of truncating niche strategy. This reception apparatus is mollified by method for co-hub bolster. It is imprinted on bendy substrate (denims material texture). Meta-fabric shape is additionally used to enhance the pick up of the recieving wire. The parameters alongside return misfortune, radiation design, radiation effectiveness and hub proportion are broke down utilizing HFSS programming. The recieving wire is created for improved measurements and inspected utilizing a vector group analyzer.","PeriodicalId":344188,"journal":{"name":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115170381","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
Power Fluctuation Reduction Using Battery System In DFIG Based Wind Energy Conversion System 基于DFIG的风能转换系统中电池系统减小功率波动
2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8551053
P. Anju, P. P. Zarina
{"title":"Power Fluctuation Reduction Using Battery System In DFIG Based Wind Energy Conversion System","authors":"P. Anju, P. P. Zarina","doi":"10.1109/ICCTCT.2018.8551053","DOIUrl":"https://doi.org/10.1109/ICCTCT.2018.8551053","url":null,"abstract":"Wind energy conversion system (WECS) is the most popular renewable energy resource. This paper discusses about the usage of a battery in a grid interfaced doubly fed induction generator (DFIG) system for power smoothing. Battery energy storage system (BESS) is introduced into de-link to avoid power variation due to varying nature of wind. Thevenin equivalent model of the lead acid battery is employed in this work. Active power is maximized by using rotor side converter (RSC) controller. Grid side converter (GSC) is used to obtain unity power factor operation and constant output power. The performance of the proposed system is verified by simulating in MATLAB","PeriodicalId":344188,"journal":{"name":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123101205","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: 5
Trend square: An Android Application for Extracting Twitter Trends Based on Location Trend square:一个基于位置提取Twitter趋势的Android应用程序
2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8551056
J. Jayadharshini, R. Sivapriya, S. Abirami
{"title":"Trend square: An Android Application for Extracting Twitter Trends Based on Location","authors":"J. Jayadharshini, R. Sivapriya, S. Abirami","doi":"10.1109/ICCTCT.2018.8551056","DOIUrl":"https://doi.org/10.1109/ICCTCT.2018.8551056","url":null,"abstract":"The identification of popular and important topics discussed in social networks is crucial for a better understanding of societal concern. Without having to explore the vast amount of information, it helps users to be aware of the trends around them. Trend detection methods introduced so far have not used the location matching feature thus lack integrating geographic locations information with the analyzed trend. To address this problem, this research aims at developing an Android mobile application, TrendSquare which uses LDA topic modeling algorithm to obtain location-specific trending tweets. This is not an exhaustive trend analysis of all services, because of the vast amount of tweets present; rather it is for picked services (Restaurants, Jewelry, Shopping malls, Textiles) where trend notifications to customers would serve as a prominent way of advertising and target marketing. An outstanding advantage of using LDA for Twitter trend detection is that it can well capture events with narrow topical scope. This implementation also provides us favorable results in the accuracy of trends obtained.","PeriodicalId":344188,"journal":{"name":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124490573","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
Bridgeless Boost AC to DC Converter with Achievement of Better Power Factor 实现更好功率因数的无桥升压交直流变换器
2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8551092
S. Charde, Pravin Balasaheb Shendge, Prof V. B. Waghmare
{"title":"Bridgeless Boost AC to DC Converter with Achievement of Better Power Factor","authors":"S. Charde, Pravin Balasaheb Shendge, Prof V. B. Waghmare","doi":"10.1109/ICCTCT.2018.8551092","DOIUrl":"https://doi.org/10.1109/ICCTCT.2018.8551092","url":null,"abstract":"A large no of application uses non-linear devices which affect the power factor of the system and introduces harmonics in the power system. The various techniques are used to reduce the harmonics and improvement of power factor in the power system. In this paper, presents the one of the new technique are used to control the power factor and reduce the harmonics by using bridgeless boost ac to dc converter. This converter is operating in continuous conduction mode (CCM). The total harmonic distortion is reduced and boost dc output voltage is presented in the simulation.","PeriodicalId":344188,"journal":{"name":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123609864","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
Feature Selection, Online Feature Selection Techniques for Big Data Classification: - A Review 特征选择，面向大数据分类的在线特征选择技术综述
2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8550928
S. Devi, M. Sabrigiriraj
{"title":"Feature Selection, Online Feature Selection Techniques for Big Data Classification: - A Review","authors":"S. Devi, M. Sabrigiriraj","doi":"10.1109/ICCTCT.2018.8550928","DOIUrl":"https://doi.org/10.1109/ICCTCT.2018.8550928","url":null,"abstract":"In the recent times, several disciplines have to tackle with huge datasets, which are involved with a huge number of additional features. Feature Selection (FS) techniques target at reducing the noisy, redundant, or unnecessary features, which might degrade the performance of classification. Although there is several numbers of FS techniques, still it remains an active research field among the data mining, machine learning and pattern recognition groups. Several FS techniques are imposed with critical issues with regards to efficiency and usefulness, due to rise in data dimensionality, which happens nowadays. Nonetheless, conventional techniques are deficit of sufficient scalability to deal with datasets consisting of millions of instances and obtain results with success in a less amount of time. Therefore, in this case, an Online Feature Selection (OFS) algorithm can yield a better solution for solving this issue. This work reviews few of the available and well-known FS, OFS techniques by pointing out the pros and cons of those techniques. This technical work studies the details of traditional FS and OFS techniques depending on evolutionary computation that is helpful in getting the subsets of features from huge datasets. As a result, this review also provides a summary, and analysis of machine learning algorithms for huge datasets. In addition, the new machine learning strategies and methodologies are explained with their capacity of dealing with the different challenges with the ultimate goal of assisting the practitioners in selecting the suitable solutions for their use cases. This review work renders a view on the big data domain, finds the research gaps and possibilities, and offers a solid foundation, assistance for more research in the machine learning field that uses big dataset.","PeriodicalId":344188,"journal":{"name":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123675545","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: 15
Framework for advanced weather forecasting technique using DMaaS in Cloud 使用云中的DMaaS的高级天气预报技术框架
2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8550961
V. Anusuya, V. Gomathi
{"title":"Framework for advanced weather forecasting technique using DMaaS in Cloud","authors":"V. Anusuya, V. Gomathi","doi":"10.1109/ICCTCT.2018.8550961","DOIUrl":"https://doi.org/10.1109/ICCTCT.2018.8550961","url":null,"abstract":"Due to the technology growth the volume of the data are become higher in every Data mining scenario. In this paper we proposed the framework for weather forecasting; here also we have some challenges. To overcome the challenges here we proudly introduce the new technique called DMaaS (Data Mining as a Service). In one sentence, DMaaS is the integration of the Data mining concept into the Cloud computing. Here we proposed DMaaS framework for forecasting the weather. For forecasting the weather, we used the data mining prediction concept. DMaaS is not only for prediction, it is applicable for all the Data Mining concepts. This new technique is overcome many challenges and issues. In below section we saw about the technique in detail.","PeriodicalId":344188,"journal":{"name":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121763470","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
Feature Extraction and Classification of Heritage Image from Crowd Source 人群源遗产图像特征提取与分类
2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8550898
Pratiksha Benagi, S. Meena, Uday Kulkarni, S. Shetty
{"title":"Feature Extraction and Classification of Heritage Image from Crowd Source","authors":"Pratiksha Benagi, S. Meena, Uday Kulkarni, S. Shetty","doi":"10.1109/ICCTCT.2018.8550898","DOIUrl":"https://doi.org/10.1109/ICCTCT.2018.8550898","url":null,"abstract":"Textures are the most important features that describe an image. To find the relevant and specific information about images and classify them properly, a robust machine learning algorithm should be trained. The paper focuses on identifying monuments by applying statistical texture analysis and classification using SVM algorithm. Our case study is towards the monuments in and around Hubli-Dharwad city that is collected as crowd sourced image database and tested as a part of the Indian digital heritage project","PeriodicalId":344188,"journal":{"name":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121836193","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
Robust Multimodal Handvein and Palmprint Based Verification System in the Presence of Salt and Pepper Noise 盐和胡椒噪声下基于手纹和掌纹的鲁棒多模态验证系统
2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8550892
Gowda H D Supreetha, K.G. Hemantha, Mohammad Imran
{"title":"Robust Multimodal Handvein and Palmprint Based Verification System in the Presence of Salt and Pepper Noise","authors":"Gowda H D Supreetha, K.G. Hemantha, Mohammad Imran","doi":"10.1109/ICCTCT.2018.8550892","DOIUrl":"https://doi.org/10.1109/ICCTCT.2018.8550892","url":null,"abstract":"Noise is a random signal that usually arises during electronic transmission, preprocessing, acquisition, faulty storage that distorts the original information of the image. Image can be deteriorated by various kinds of noises. In our work, we are proposing both the unimodal and multimodal biometric verification system adopting hand-based traits and we are also analyzing the robustness of the deployed system by adding salt and pepper noise that takes either maximum or minimum grey values. The experimentation is performed on multimodal preclassification and post classification techniques and the verification results are tabulated for standard threshold values at 0.01%, 0.1 %, 1 %.","PeriodicalId":344188,"journal":{"name":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122717796","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
LNA Design for 3 cm Band Applications 3厘米波段应用的LNA设计
2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8550891
M. Iyer, T. Shanmuganantham
{"title":"LNA Design for 3 cm Band Applications","authors":"M. Iyer, T. Shanmuganantham","doi":"10.1109/ICCTCT.2018.8550891","DOIUrl":"https://doi.org/10.1109/ICCTCT.2018.8550891","url":null,"abstract":"This work deals with the designing of different low noise amplifiers for 3 cm band application which operates in 10.00 to 10.5 GHz frequency band with 10.40 GHz as the center frequency. The amplifier is designed using GaAs HEMT A–TF 36077 with different passive components in the feedback network which is one of the technique to improve stability of potentially unstable device and make it unconditionally stable. It is observed that the noise immunity is more in LNA design in which feedback network with a resistor and inductor in series is used. This design resulted in noise figure of 1.43 dB and power gain of 21.654 dB. The comparative analysis of the LNA design is discussed in this paper.","PeriodicalId":344188,"journal":{"name":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122839389","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
A Meticulous Critique on Prevailing Techniques of Aspect-Level Sentiment Analysis 对主流方面级情感分析技术的细致批判
2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) Pub Date : 2018-03-01 DOI: 10.1109/ICCTCT.2018.8551066
Alfiva Shama, Sudhir N. Dhage
{"title":"A Meticulous Critique on Prevailing Techniques of Aspect-Level Sentiment Analysis","authors":"Alfiva Shama, Sudhir N. Dhage","doi":"10.1109/ICCTCT.2018.8551066","DOIUrl":"https://doi.org/10.1109/ICCTCT.2018.8551066","url":null,"abstract":"Sentiment Analysis (SA) refers to mining emotional value from an array of words to determine the notion, perspective and behavior an individual may have towards an entity. Personnel conducting online business face the truth of their products and services which eventually helps them to improve their strategies of selling and maximizing profits. Consumers get a true feedback of any product or service they wish to avail which eventually yields sophisticated decision making. In this paper, a profound review of the most current mechanisms deployed using varied approaches has been stated. The main aim of this survey is to give a satisfied understanding of the latest updates in the field of sentiment analysis especially highlighting the recent trends under aspect based sentiment analysis.","PeriodicalId":344188,"journal":{"name":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129736567","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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