{"title":"Basic Introduction of Wireless Sensor Network","authors":"V. Prakash, Suman Pandey, A. Singh","doi":"10.2139/ssrn.3351024","DOIUrl":"https://doi.org/10.2139/ssrn.3351024","url":null,"abstract":"Observing the dynamic scenarios that change quickly with time is the prime utilization of remote sensor systems. This difference in conduct is contemplated to either certain outside variables or impediment of some framework structures itself in unpredicted causality. To adjust such conditions, machine learning procedures are esteemed to be valuable in disposing of the requirement for pointless update. Further, the method dependent on machine learning urges numerous viable answers for boost utilizations of asset and in this manner improves the life expectancy of the sensor arrange. In this paper, simply discussion over wireless sensor network, its characteristics, comparing with wireless ad hoc networks along with various application of wireless sensor network in different fields has been extended.","PeriodicalId":155631,"journal":{"name":"2nd International Conference on Advanced Computing & Software Engineering (ICACSE) 2019 (Archive)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116446980","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}
Lakshya Saxena, Jeetesh Srivastava, Ankita Shukla, Chetana. M. Vyas
{"title":"Integrating Block Chain with Social Network & Tracking False Information: Challenges and Open Issues","authors":"Lakshya Saxena, Jeetesh Srivastava, Ankita Shukla, Chetana. M. Vyas","doi":"10.2139/ssrn.3351042","DOIUrl":"https://doi.org/10.2139/ssrn.3351042","url":null,"abstract":"The block chain has become the next cyber security revolution. The integration of block chain with social network is an effective way to resolve many issues. The huge amount of user’s data available on social network can be protected by integrating block chain with the information system governing the social network. As social network gains more publicity on both client-server and peer-to-peer network to provide information in a more dynamic and distributed manner, so it would be beneficial for us to take its security seriously. This paper provides an overview of integration of block chain into the social network by highlighting the integration benefits and implementation challenges. Discussion will also focus on how to track the culprit (origin) responsible for spreading the false information that is a bigger challenge we face today.","PeriodicalId":155631,"journal":{"name":"2nd International Conference on Advanced Computing & Software Engineering (ICACSE) 2019 (Archive)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125090482","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":"Polarity Based SVM Techniques for Analyzing Movie Review","authors":"S. Arjaria, Jincy M. Mathew","doi":"10.2139/ssrn.3350270","DOIUrl":"https://doi.org/10.2139/ssrn.3350270","url":null,"abstract":"Nowadays the Internet is used as an enormous source repository of information and it is accessible for everyone. This information is generated day-to-day by information sharing among the users. Customers or the users need this information for making their purchasing decision according to the reviews of other customers. As everyone wants to know the opinions from others that is why there is need of a system which can directly give the final opinions from this large collection of user reviews. The sentiment analysis is found to be very useful in various application areas like in news sector, healthcare industry, apparel industry, political elections, movie reviews and product review. The analysis of movie reviews has been emerged as a prominent area of research in this field. The proposed work applied a polarity feature based SVM technique to enhance the accuracy of the prediction of correct movie","PeriodicalId":155631,"journal":{"name":"2nd International Conference on Advanced Computing & Software Engineering (ICACSE) 2019 (Archive)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129165434","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. Ahmad, M. Asim, Safwan Zubair Khan, Bharat Singh
{"title":"Green IoT — Issues and Challenges","authors":"R. Ahmad, M. Asim, Safwan Zubair Khan, Bharat Singh","doi":"10.2139/ssrn.3350317","DOIUrl":"https://doi.org/10.2139/ssrn.3350317","url":null,"abstract":"Internet of Things (IoT) is the next big thing in the Information and Communications Technology Industry (ICT). IoT is capable of connecting systems of small scale to large scale. Together these billions devices forms an enormous web of the devices on a very scale which we know as Internet of Things. With recent advancement in Technology, A huge growth in number of IoT devices is observed, which also increased the demand of energy. This created the desire of low power consuming IoT. A Green Internet of Things. This paper gives an overview of the Internet of Things, Elements of IoT and Applications of IoT. Moreover, Green Internet of Things, Green IoT Technology and Green IoT Applications are discussed. Finally, Challenges are discussed.","PeriodicalId":155631,"journal":{"name":"2nd International Conference on Advanced Computing & Software Engineering (ICACSE) 2019 (Archive)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134461596","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":"Dual Ascent Based Median Filter for Image Restoration","authors":"Narendra Kumar, H. Shukla, A. Tiwari, A. Dahiya","doi":"10.2139/ssrn.3350334","DOIUrl":"https://doi.org/10.2139/ssrn.3350334","url":null,"abstract":"In the spetial domain, the non-linear filter effectively reduces the noise in an image but at the simalteniously, they blur the edge of images. Finally based on the study effective algorithm will be developed and used for effective denoising and image restoration. Proposed median filter for the restoration of corrupted image by noise and blurred and thereby to improve the image quality. The performance of denoised image quality and restoration technique has been judge by comparing the result of proposed technique with the existing denoising filters. The comparison result shows a high value of PSNR.","PeriodicalId":155631,"journal":{"name":"2nd International Conference on Advanced Computing & Software Engineering (ICACSE) 2019 (Archive)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125045410","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}
Vinay Kumar, Sanjay Kumar, M. Mamdikar, Mohit Yadav
{"title":"A Survey on Cloud Computing","authors":"Vinay Kumar, Sanjay Kumar, M. Mamdikar, Mohit Yadav","doi":"10.2139/ssrn.3368771","DOIUrl":"https://doi.org/10.2139/ssrn.3368771","url":null,"abstract":"Cloud computing can be thought of as a emerging model for business computing. It provides an on-demand supply of shared pool of data and resources hosted at providers’ site. In this paper we will discuss primarily about the issues and challenges faced in cloud computing.","PeriodicalId":155631,"journal":{"name":"2nd International Conference on Advanced Computing & Software Engineering (ICACSE) 2019 (Archive)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127649672","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}
Kailas Nath Tripathi, Sudhakar Tripathi, R. Mishra
{"title":"Language Processing in Human Brain: Computational Aspect","authors":"Kailas Nath Tripathi, Sudhakar Tripathi, R. Mishra","doi":"10.2139/ssrn.3349592","DOIUrl":"https://doi.org/10.2139/ssrn.3349592","url":null,"abstract":"Human Brain is complex biological structure that contains several regions. Various regions of brain together performs language processing and forms a network of regions. Network formed during language processing is observed by structural and functional connectivity. Structural connectivity of brain regions refers to structural correlation between the elements of regions. However the functional connectivity refers to functional association between different brain regions. Different types of MRI can be used to show the structural connectivity and EEG, MEG and fMRI are used to show functional connectivity of various regions of brain. In this study, we have discussed different structural and functional connectivity involved in language processing. Finally we have discussed the computational methods as well as computational linguistic model that can be used for language processing.","PeriodicalId":155631,"journal":{"name":"2nd International Conference on Advanced Computing & Software Engineering (ICACSE) 2019 (Archive)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122491098","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":"Applications of Genetic Algorithm in Water Resources Management and Optimization","authors":"Garima Tyagi, Rohit Singh, Dr. Abid Hussain","doi":"10.2139/ssrn.3349585","DOIUrl":"https://doi.org/10.2139/ssrn.3349585","url":null,"abstract":"It is the need of current scenario that water resource is to be retained and maintained. Different types of models have been applied for the optimization of Water Resource Management. Genetic Algorithm is one of the evolutionary algorithms, those are the part of Soft Computing, have been applied and different researches have done for the use of genetic algorithm in the water resource optimization. This paper is to review the different applications applied so far, their usefulness and also for their scope in the development of future models for the water resource planning and optimization.","PeriodicalId":155631,"journal":{"name":"2nd International Conference on Advanced Computing & Software Engineering (ICACSE) 2019 (Archive)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123688550","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}
Mukul Singh, O. Singh, Vishwamitra Singh, Taruna Sharma
{"title":"Modeling Simulation and Comparison of DFIG Based Phasor Model Average Model and Detailed Model of Wind Farm","authors":"Mukul Singh, O. Singh, Vishwamitra Singh, Taruna Sharma","doi":"10.2139/ssrn.3349560","DOIUrl":"https://doi.org/10.2139/ssrn.3349560","url":null,"abstract":"The world has shown growing interest in generating the energy using renewable sources of energy. Due to many advantages like reduced cost higher system efficiency, controllability, DFIG has become a popular concept and has become an interesting research topic. This paper deals with comparison of three different models of MATLAB using Sim Power Systems of Simulink. Firstly Phasor, Average & Detailed models has been presented which uses a (DFIG) having a capacity of 12 MW that is supplied to the distribution system. Different models are studied, reviewed, simulated & compared properly.","PeriodicalId":155631,"journal":{"name":"2nd International Conference on Advanced Computing & Software Engineering (ICACSE) 2019 (Archive)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125952297","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":"Data Augmentation Using Generative Adversarial Network","authors":"Kusam Lata, M. Dave, Nishanth K.N.","doi":"10.2139/ssrn.3349576","DOIUrl":"https://doi.org/10.2139/ssrn.3349576","url":null,"abstract":"Now a days, Deep Learning has made appreciable development which introduces intelligence in machines to work like human brain. For this learning, the presence of large and balanced dataset is essential so that we can train the machines more efficiently. However finding such data in real world is rare, and creating these data sets is a complex task. So Generative Ad- versarial Networks (GANs) are used to create dataset to enhance the unsupervised learning. In this proposed work, Convolutional GAN is used for data augmentation which produces more realistic datasets and then we analyse the performance of this GAN by doing hyper-parameter tuning of opitmizers and activation functions.","PeriodicalId":155631,"journal":{"name":"2nd International Conference on Advanced Computing & Software Engineering (ICACSE) 2019 (Archive)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115196231","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}