Pub Date : 2013-09-01DOI: 10.1109/AFRCON.2013.6757684
G. Kulkarni, Prasad Khatawkar, Rupali Shelke, Vikas Solanke, R. Waghmare
Multi-tenant applications are usually cloud based software services which can serve different users at the same time. This is done using single instance of applications by sharing hardware, infrastructure, data storage and virtualization. To achieve multi tenancy different approaches are there at every layer (Application, Data, hardware). Software-as-as-Service (SaaS) is a new approach for developing software, and it is characterized by its multi-tenancy architecture and its ability to provide flexible customization to individual tenant. SaaS (Software as a Service) is a modern approach to deliver large scalable enterprise software as a service on Internet. Cloud computing platform provides the scalability, availability and utility computing for services on Internet. There are many technical challenges involved in SaaS development. One of them is multi-tenancy, which allows single instance of software to serve multiple organizations by accommodating their unique requirements through configuration at the same time. The target SaaS platform is composed of the key components that supports SaaS Application execution environment that serves multiple tenant using a single service instance. An example scenario of SaaS software lifecycle is also described to explain how the target platform would be operated from development and deployment of SaaS application to configuration by tenants.
{"title":"“Multi-tenant SaaS cloud”","authors":"G. Kulkarni, Prasad Khatawkar, Rupali Shelke, Vikas Solanke, R. Waghmare","doi":"10.1109/AFRCON.2013.6757684","DOIUrl":"https://doi.org/10.1109/AFRCON.2013.6757684","url":null,"abstract":"Multi-tenant applications are usually cloud based software services which can serve different users at the same time. This is done using single instance of applications by sharing hardware, infrastructure, data storage and virtualization. To achieve multi tenancy different approaches are there at every layer (Application, Data, hardware). Software-as-as-Service (SaaS) is a new approach for developing software, and it is characterized by its multi-tenancy architecture and its ability to provide flexible customization to individual tenant. SaaS (Software as a Service) is a modern approach to deliver large scalable enterprise software as a service on Internet. Cloud computing platform provides the scalability, availability and utility computing for services on Internet. There are many technical challenges involved in SaaS development. One of them is multi-tenancy, which allows single instance of software to serve multiple organizations by accommodating their unique requirements through configuration at the same time. The target SaaS platform is composed of the key components that supports SaaS Application execution environment that serves multiple tenant using a single service instance. An example scenario of SaaS software lifecycle is also described to explain how the target platform would be operated from development and deployment of SaaS application to configuration by tenants.","PeriodicalId":6330,"journal":{"name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85090424","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 : 2013-07-04DOI: 10.1109/ICCCNT.2013.6726841
F. G. Balakrishnan, S. Sreedharan, J. Michael
Flexible AC Transmission Systems (FACTS) technology is the most advanced tool for power flow control in electric network. Unified Power Flow Controller (UPFC) is the most versatile FACTS device for optimization and control of power flow in transmission system. It is a voltage source converter based FACTS controller for series and shunt compensation of the line which controls the real and reactive power independently. This paper deals with Adaptive Neuro Fuzzy Inference System (ANFIS) is used as the controlling technique for UPFC. The controller have been designed and tested for controlling the real and reactive power flow of UPFC. Computer simulation by MATLAB/SIMULINK has been used to verify proposed control strategies.
{"title":"Transient stability improvement in power system using unified power flow controller (UPFC)","authors":"F. G. Balakrishnan, S. Sreedharan, J. Michael","doi":"10.1109/ICCCNT.2013.6726841","DOIUrl":"https://doi.org/10.1109/ICCCNT.2013.6726841","url":null,"abstract":"Flexible AC Transmission Systems (FACTS) technology is the most advanced tool for power flow control in electric network. Unified Power Flow Controller (UPFC) is the most versatile FACTS device for optimization and control of power flow in transmission system. It is a voltage source converter based FACTS controller for series and shunt compensation of the line which controls the real and reactive power independently. This paper deals with Adaptive Neuro Fuzzy Inference System (ANFIS) is used as the controlling technique for UPFC. The controller have been designed and tested for controlling the real and reactive power flow of UPFC. Computer simulation by MATLAB/SIMULINK has been used to verify proposed control strategies.","PeriodicalId":6330,"journal":{"name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73758128","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 : 2013-07-04DOI: 10.1109/ICCCNT.2013.6726531
Madhuri Bamankar, P. Muralidhar, C. B. Ramarao
Some factors of environment and user behavior always dominate the captured video quality (i.e. brightness variation). The full search method cannot give better PSNR for brightness affected video. The brightness correction method improves the PSNR (i.e. quality) of brightness affected video. Architecture design of brightness correction method is proposed in this paper. This hybrid and pipelined architecture is fast and real time implementable.
{"title":"Architecture design of illumination change progressive motion estimation algorithm","authors":"Madhuri Bamankar, P. Muralidhar, C. B. Ramarao","doi":"10.1109/ICCCNT.2013.6726531","DOIUrl":"https://doi.org/10.1109/ICCCNT.2013.6726531","url":null,"abstract":"Some factors of environment and user behavior always dominate the captured video quality (i.e. brightness variation). The full search method cannot give better PSNR for brightness affected video. The brightness correction method improves the PSNR (i.e. quality) of brightness affected video. Architecture design of brightness correction method is proposed in this paper. This hybrid and pipelined architecture is fast and real time implementable.","PeriodicalId":6330,"journal":{"name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73838288","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 : 2013-07-04DOI: 10.1109/ICCCNT.2013.6726690
M. Afzal
Fibre optic sensing technology is one of the versatile and effective sensing technologies in the modern sensor era. Optical fibre sensing successfully manage to catch the positive attention of premium sensor-fabrication industries as well as the top researchers, scientists and automation engineers are preferring to apply FOS technology in various field applications in recent times. Furthermore, fiber optic sensors have a diversity of particular advantages such as faster response compare to other available sensing methods, economical fabrication procedure, very user-friendly, exceedingly receptive plus non-responsive to electromagnetic interference. This paper comprehensively discusses about various important large-scale practical applications of FOS technology both in government sectors as well as in private sectors. This paper also emphasizes on environmental application of FOS technology and also explains in details why FOS is preferable option for water quality management system. This paper also specifically highlights about latest available FOS materials which has been applied in the field of water quality management extensively to ensure a sustainable environment and to check effectively the quality of water for local residents. A dedicated part of this paper also discusses the significant advantages of FOS technology in annual rainfall trend analysis.
{"title":"Introduction to fibre-optic sensing system and practical applications in water quality management","authors":"M. Afzal","doi":"10.1109/ICCCNT.2013.6726690","DOIUrl":"https://doi.org/10.1109/ICCCNT.2013.6726690","url":null,"abstract":"Fibre optic sensing technology is one of the versatile and effective sensing technologies in the modern sensor era. Optical fibre sensing successfully manage to catch the positive attention of premium sensor-fabrication industries as well as the top researchers, scientists and automation engineers are preferring to apply FOS technology in various field applications in recent times. Furthermore, fiber optic sensors have a diversity of particular advantages such as faster response compare to other available sensing methods, economical fabrication procedure, very user-friendly, exceedingly receptive plus non-responsive to electromagnetic interference. This paper comprehensively discusses about various important large-scale practical applications of FOS technology both in government sectors as well as in private sectors. This paper also emphasizes on environmental application of FOS technology and also explains in details why FOS is preferable option for water quality management system. This paper also specifically highlights about latest available FOS materials which has been applied in the field of water quality management extensively to ensure a sustainable environment and to check effectively the quality of water for local residents. A dedicated part of this paper also discusses the significant advantages of FOS technology in annual rainfall trend analysis.","PeriodicalId":6330,"journal":{"name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74678198","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 : 2013-07-04DOI: 10.1109/ICCCNT.2013.6726498
Poonam Panchal, S. Gopi, R. Pradeepa
This paper describes a novel incremental PSVM to incorporate new target class information unavailable previously in the underwater target classification system. It is capable of updating already existing multiclass `One against Rest' Proximal Support Vector Machine classifier on arrival of features of new classes. The performance of the algorithm is studied on real data. Simulation establishes the effectiveness of the algorithm in adding samples of new classes or of existing classes into the training set incrementally without much affecting the storage space and computation.
本文提出了一种新的增量式PSVM方法，将水下目标分类系统中无法获得的新目标类别信息纳入其中。它能够在新类的特征到来时更新已经存在的多类“One against Rest”近端支持向量机分类器。在实际数据中研究了该算法的性能。仿真验证了该算法在不影响存储空间和计算量的情况下，将新类或现有类的样本增量地添加到训练集中的有效性。
{"title":"Incremental PSVM for underwater target classification with incorporation of new classes","authors":"Poonam Panchal, S. Gopi, R. Pradeepa","doi":"10.1109/ICCCNT.2013.6726498","DOIUrl":"https://doi.org/10.1109/ICCCNT.2013.6726498","url":null,"abstract":"This paper describes a novel incremental PSVM to incorporate new target class information unavailable previously in the underwater target classification system. It is capable of updating already existing multiclass `One against Rest' Proximal Support Vector Machine classifier on arrival of features of new classes. The performance of the algorithm is studied on real data. Simulation establishes the effectiveness of the algorithm in adding samples of new classes or of existing classes into the training set incrementally without much affecting the storage space and computation.","PeriodicalId":6330,"journal":{"name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72953313","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 : 2013-07-04DOI: 10.1109/ICCCNT.2013.6726685
D. Ravi, A. Dharani, S. Sandhya, Kanthalakshmi
Energy is a resource that needs to be managed effectively and efficiently. The paper presents a fuzzy logic approach that controls the appliances indoors and ensures a secure and flexible environment for the user. The striking feature about this embedded energy management system is its flexibility to suit the user's changing preferences and life style. Three different modes of control are provided and security is ensured in the DTMF (Dual Tone Multi-Frequency) mode to avoid tampering with the equipment. Implementing the above proposed idea using fuzzy control logic would reduce the energy consumption. The rules for fuzzy control are formulated and implemented in MATLAB.
{"title":"Secure energy management system using embedded fuzzy controller","authors":"D. Ravi, A. Dharani, S. Sandhya, Kanthalakshmi","doi":"10.1109/ICCCNT.2013.6726685","DOIUrl":"https://doi.org/10.1109/ICCCNT.2013.6726685","url":null,"abstract":"Energy is a resource that needs to be managed effectively and efficiently. The paper presents a fuzzy logic approach that controls the appliances indoors and ensures a secure and flexible environment for the user. The striking feature about this embedded energy management system is its flexibility to suit the user's changing preferences and life style. Three different modes of control are provided and security is ensured in the DTMF (Dual Tone Multi-Frequency) mode to avoid tampering with the equipment. Implementing the above proposed idea using fuzzy control logic would reduce the energy consumption. The rules for fuzzy control are formulated and implemented in MATLAB.","PeriodicalId":6330,"journal":{"name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75468187","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 : 2013-07-04DOI: 10.1109/ICCCNT.2013.6726815
Neetika Gupta, Weipeng Xu, Divya Kamboj
Computer Vision describes some of its typical assignments as motion analysis, scene reconstruction, image restoration and image segmentation. Enormous tasks could be demonstrated while segmenting an image. The goal might be stated as, “Extraction of object from background” or “Analysing sharp edges in the image”. The goal could be any, but the initial information needed to visualize the difference between different segments of image, should be accurately picked and evaluated. This paper talks about such an initial information i.e. depth value of image pixels and gives an insight of its importance in the field of Image segmentation. Moreover, the paper also describes some of the typical techniques to incur depth information in the process of segmentation, solely or combined with other pixel values like color.
{"title":"Depth-based segmentation — A review","authors":"Neetika Gupta, Weipeng Xu, Divya Kamboj","doi":"10.1109/ICCCNT.2013.6726815","DOIUrl":"https://doi.org/10.1109/ICCCNT.2013.6726815","url":null,"abstract":"Computer Vision describes some of its typical assignments as motion analysis, scene reconstruction, image restoration and image segmentation. Enormous tasks could be demonstrated while segmenting an image. The goal might be stated as, “Extraction of object from background” or “Analysing sharp edges in the image”. The goal could be any, but the initial information needed to visualize the difference between different segments of image, should be accurately picked and evaluated. This paper talks about such an initial information i.e. depth value of image pixels and gives an insight of its importance in the field of Image segmentation. Moreover, the paper also describes some of the typical techniques to incur depth information in the process of segmentation, solely or combined with other pixel values like color.","PeriodicalId":6330,"journal":{"name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74284354","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 : 2013-07-04DOI: 10.1109/ICCCNT.2013.6726747
P. Tomer, Ajay Goyal
Text pictures in natural scene are necessary clues for several image-based applications like scene understanding, content-based image retrieval, helpful navigation, and automatic geocoding. However, locating text from a fancy atmosphere with multiple colors may be a difficult task. Although there are various techniques implemented for the detection of the text in natural scenes. The work implemented in paper(Text string detection from natural scenes by structural based partition and grouping) is based on Gradient based Partition and Color based Partition but the techniques implemented here provides less efficiency and the chances of error rate is more hence have less accuracy. But the technique implemented in this paper for the detection of texts in natural scenes is based on Ant based clustering. By using Ant clustering the performance of the technique for the detection of text has been increased.
{"title":"Ant clustering based text detection in natural scene images","authors":"P. Tomer, Ajay Goyal","doi":"10.1109/ICCCNT.2013.6726747","DOIUrl":"https://doi.org/10.1109/ICCCNT.2013.6726747","url":null,"abstract":"Text pictures in natural scene are necessary clues for several image-based applications like scene understanding, content-based image retrieval, helpful navigation, and automatic geocoding. However, locating text from a fancy atmosphere with multiple colors may be a difficult task. Although there are various techniques implemented for the detection of the text in natural scenes. The work implemented in paper(Text string detection from natural scenes by structural based partition and grouping) is based on Gradient based Partition and Color based Partition but the techniques implemented here provides less efficiency and the chances of error rate is more hence have less accuracy. But the technique implemented in this paper for the detection of texts in natural scenes is based on Ant based clustering. By using Ant clustering the performance of the technique for the detection of text has been increased.","PeriodicalId":6330,"journal":{"name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74402254","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 : 2013-07-04DOI: 10.1109/ICCCNT.2013.6726822
S. Nachiyappan, S. Justus
Big Data is already there and developers and analytics are working with it using several support upcoming frameworks and technologies. The storage and retrieval systems, the access layers and processes for Big Data are evolving day by day. Test Architects and Testing teams are not excluded in this Big scenario. This literature focuses on some of the challenges test teams would be facing in the near future. Two specialized testings are considered to learn the intricacies, and thoughts on Big Test Data Management are also presented.
{"title":"Getting ready for BigData testing: A practitioner's perception","authors":"S. Nachiyappan, S. Justus","doi":"10.1109/ICCCNT.2013.6726822","DOIUrl":"https://doi.org/10.1109/ICCCNT.2013.6726822","url":null,"abstract":"Big Data is already there and developers and analytics are working with it using several support upcoming frameworks and technologies. The storage and retrieval systems, the access layers and processes for Big Data are evolving day by day. Test Architects and Testing teams are not excluded in this Big scenario. This literature focuses on some of the challenges test teams would be facing in the near future. Two specialized testings are considered to learn the intricacies, and thoughts on Big Test Data Management are also presented.","PeriodicalId":6330,"journal":{"name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74766985","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 : 2013-07-04DOI: 10.1109/ICCCNT.2013.6726625
S. Vaidyanathan, K. Madhavan
For the last five decades, there has been great interest in the control literature in deriving reduced order models for large-scale linear control systems. Such reduced order models have great applications in science, engineering and industry. In this paper, we have studied the problem of designing linear functional observers for large-scale linear discrete-time control systems and derived some new results, viz. necessary and sufficient conditions for the reduced order linear functional observer for discrete-time linear control systems. We have also established a separation principle for implementation of an observer-based feedback stabilization scheme. A simple algorithm has been provided for the ready implementation of the proposed linear functional observer. A numerical example using MATLAB has been provided to illustrate the new design procedure.
{"title":"Reduced order linear functional observers for large scale linear discrete-time control systems","authors":"S. Vaidyanathan, K. Madhavan","doi":"10.1109/ICCCNT.2013.6726625","DOIUrl":"https://doi.org/10.1109/ICCCNT.2013.6726625","url":null,"abstract":"For the last five decades, there has been great interest in the control literature in deriving reduced order models for large-scale linear control systems. Such reduced order models have great applications in science, engineering and industry. In this paper, we have studied the problem of designing linear functional observers for large-scale linear discrete-time control systems and derived some new results, viz. necessary and sufficient conditions for the reduced order linear functional observer for discrete-time linear control systems. We have also established a separation principle for implementation of an observer-based feedback stabilization scheme. A simple algorithm has been provided for the ready implementation of the proposed linear functional observer. A numerical example using MATLAB has been provided to illustrate the new design procedure.","PeriodicalId":6330,"journal":{"name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72702773","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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