Pub Date : 2018-02-01DOI: 10.1109/AEEICB.2018.8480996
Kazim Raza, S. Selvaperumal, Chandrasekharan Natarj, R. Lakshmanan, A. Seeralan
An enhanced algorithm to track objects in complex video scenes is developed and presented in this paper. A single Gaussian method is proposed to detect the object and also a mean-shift color based algorithm is applied to achieve the appropriate tracking of the detected object. The centroid detection via k-mean clustering is implemented to reduce the number of bins, which is important to extract the N centroid for the clustering process. After producing the algorithm of the proposed method, system implementation has been done through the MATLAB and developed coding was practiced at different videos and results achieved as it is provided in testing part.
{"title":"Enhanced Object Detection and Tracking Algorithm in Complex Videos","authors":"Kazim Raza, S. Selvaperumal, Chandrasekharan Natarj, R. Lakshmanan, A. Seeralan","doi":"10.1109/AEEICB.2018.8480996","DOIUrl":"https://doi.org/10.1109/AEEICB.2018.8480996","url":null,"abstract":"An enhanced algorithm to track objects in complex video scenes is developed and presented in this paper. A single Gaussian method is proposed to detect the object and also a mean-shift color based algorithm is applied to achieve the appropriate tracking of the detected object. The centroid detection via k-mean clustering is implemented to reduce the number of bins, which is important to extract the N centroid for the clustering process. After producing the algorithm of the proposed method, system implementation has been done through the MATLAB and developed coding was practiced at different videos and results achieved as it is provided in testing part.","PeriodicalId":423671,"journal":{"name":"2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116721248","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}
Pub Date : 2018-02-01DOI: 10.1109/AEEICB.2018.8480849
J. Dharanidharan, R. Puviarasi
An expanding number of ranches are depending on programmed nourishing to facilitate their workload, spare time and accomplish adaptability. The ranches reviewed were useful clients of programmed bolstering frameworks. There are different frameworks which allow the mechanization of nourishing frameworks. At exhibit rail-guided bolster wagons are the best settled practically speaking, yet transport lines and self-pushed feeders are likewise utilized. The quantity of encourage segments utilized contrasted the same amount of as the time prerequisite. The working time estimations of the programmed bolstering frameworks (AFS) appear that by utilizing an AFS it is conceivable to spare time and accomplish more prominent adaptability. A huge lessening in working time by correlation with a traditional bolster blender wagon, be that as it may, must be normal on account of sizeable groups. The working time necessity for programmed bolstering frameworks depends basically on the expulsion method, separate from the encourage store and sort of storehouse.
{"title":"Simulation of Automatic Food Feeding System for Pet Animals","authors":"J. Dharanidharan, R. Puviarasi","doi":"10.1109/AEEICB.2018.8480849","DOIUrl":"https://doi.org/10.1109/AEEICB.2018.8480849","url":null,"abstract":"An expanding number of ranches are depending on programmed nourishing to facilitate their workload, spare time and accomplish adaptability. The ranches reviewed were useful clients of programmed bolstering frameworks. There are different frameworks which allow the mechanization of nourishing frameworks. At exhibit rail-guided bolster wagons are the best settled practically speaking, yet transport lines and self-pushed feeders are likewise utilized. The quantity of encourage segments utilized contrasted the same amount of as the time prerequisite. The working time estimations of the programmed bolstering frameworks (AFS) appear that by utilizing an AFS it is conceivable to spare time and accomplish more prominent adaptability. A huge lessening in working time by correlation with a traditional bolster blender wagon, be that as it may, must be normal on account of sizeable groups. The working time necessity for programmed bolstering frameworks depends basically on the expulsion method, separate from the encourage store and sort of storehouse.","PeriodicalId":423671,"journal":{"name":"2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125485180","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}
Pub Date : 2018-02-01DOI: 10.1109/AEEICB.2018.8480952
P. Minishapriya, S. Maheswari
The reduction of storage utilization and handling data replication in the backup environment efficiently which was introduced by the emerging technology called Data de-duplication. The Chunk is a method of breaking data into multiple pieces and each chunk has the unique hash identifier for identification. To check data duplication the hash identifier of a chunk is checked with the previously stored chunk. It increases the efficiency of cloud storage. This project proposes a performance analysis of Rabin based chunking and Rapid Asymmetric Maximum (RAM) chunking using throughput. Process considers the case study of population dataset in which the state and district are considering the parameter to perform chunking and to analyze the de-duplication.
{"title":"Performance Analysis of Cloud Storage Using Chunking Algorithm","authors":"P. Minishapriya, S. Maheswari","doi":"10.1109/AEEICB.2018.8480952","DOIUrl":"https://doi.org/10.1109/AEEICB.2018.8480952","url":null,"abstract":"The reduction of storage utilization and handling data replication in the backup environment efficiently which was introduced by the emerging technology called Data de-duplication. The Chunk is a method of breaking data into multiple pieces and each chunk has the unique hash identifier for identification. To check data duplication the hash identifier of a chunk is checked with the previously stored chunk. It increases the efficiency of cloud storage. This project proposes a performance analysis of Rabin based chunking and Rapid Asymmetric Maximum (RAM) chunking using throughput. Process considers the case study of population dataset in which the state and district are considering the parameter to perform chunking and to analyze the de-duplication.","PeriodicalId":423671,"journal":{"name":"2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125777866","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}
Pub Date : 2018-02-01DOI: 10.1109/AEEICB.2018.8480922
Nilesh R. Ahire, V. Dake
Indian power system having an interconnected grid network. There are five regional grids in India. From these regional grids paper analyse western regional grid in terms of voltage stability. This paper describes about present voltage profile scenario, reactive power compensation, EHV network, voltage issues i.e. high voltage which are continuously occurring day by day in system. So, we analysed the voltage profile and its issues on 400kV EHV and 765kV UHV network present in the western regional grid. To mitigate this voltage stability issues in the real present network describing a reactive power compensation in the system and conclude that the best compensation in the system.
{"title":"Analysis Of Voltage Profile, It's Issues And Mitigation Techniques Used In Western Regional Grid Of India","authors":"Nilesh R. Ahire, V. Dake","doi":"10.1109/AEEICB.2018.8480922","DOIUrl":"https://doi.org/10.1109/AEEICB.2018.8480922","url":null,"abstract":"Indian power system having an interconnected grid network. There are five regional grids in India. From these regional grids paper analyse western regional grid in terms of voltage stability. This paper describes about present voltage profile scenario, reactive power compensation, EHV network, voltage issues i.e. high voltage which are continuously occurring day by day in system. So, we analysed the voltage profile and its issues on 400kV EHV and 765kV UHV network present in the western regional grid. To mitigate this voltage stability issues in the real present network describing a reactive power compensation in the system and conclude that the best compensation in the system.","PeriodicalId":423671,"journal":{"name":"2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121719948","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}
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