Pub Date : 1900-01-01DOI: 10.1109/icccsp.2017.7944106
Shrinidhi Rajagopal, V. Krishnamurthy
Plants make the world, a greener and a better place to live in. Although all plants need water to survive, giving them too much or too little can cause them to die. Thus, we need to implement an automatic plant watering system that ensures that the plants are watered at regular intervals, with appropriate amount, whenever they are in need. This paper describes the object oriented design of an IoT based Automated Plant Watering System.
{"title":"OO design for an IoT based automated plant watering system","authors":"Shrinidhi Rajagopal, V. Krishnamurthy","doi":"10.1109/icccsp.2017.7944106","DOIUrl":"https://doi.org/10.1109/icccsp.2017.7944106","url":null,"abstract":"Plants make the world, a greener and a better place to live in. Although all plants need water to survive, giving them too much or too little can cause them to die. Thus, we need to implement an automatic plant watering system that ensures that the plants are watered at regular intervals, with appropriate amount, whenever they are in need. This paper describes the object oriented design of an IoT based Automated Plant Watering System.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127686432","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 : 1900-01-01DOI: 10.1109/ICCCSP.2017.7944094
S. Aarthi, S. Chitrakala
In recent times, scene understanding holds a great position in computer vision due to its real time perceiving, analyzing and elaborating an interpretation of dynamic scene which leads to new discoveries. A scene is a view of real world environment with multiple objects and surfaces in a meaningful way. Objects are compact and act upon whereas scene are extended in space and act within. The visual information can be given with many features such as Colors, Luminance and contours or in the form of Shapes, Parts and Textures or through semantic context. The goal of scene understanding is to make machines look like humans, to have a complete understanding of visual scenes. Scene understanding is influenced by cognitive vision with an involvement of major areas like computer vision, cognitive engineering and software engineering. Due to its enormous growth many outstanding universities like Boston University, Stafford Vision lab, Scene grammar lab, air lab, Laboratory Machine Vision and Pattern Recognition have been perseveringly working for added improvements in this area. This paper discusses an extensive survey of scene understanding with various strategies and methods.
{"title":"Scene understanding — A survey","authors":"S. Aarthi, S. Chitrakala","doi":"10.1109/ICCCSP.2017.7944094","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944094","url":null,"abstract":"In recent times, scene understanding holds a great position in computer vision due to its real time perceiving, analyzing and elaborating an interpretation of dynamic scene which leads to new discoveries. A scene is a view of real world environment with multiple objects and surfaces in a meaningful way. Objects are compact and act upon whereas scene are extended in space and act within. The visual information can be given with many features such as Colors, Luminance and contours or in the form of Shapes, Parts and Textures or through semantic context. The goal of scene understanding is to make machines look like humans, to have a complete understanding of visual scenes. Scene understanding is influenced by cognitive vision with an involvement of major areas like computer vision, cognitive engineering and software engineering. Due to its enormous growth many outstanding universities like Boston University, Stafford Vision lab, Scene grammar lab, air lab, Laboratory Machine Vision and Pattern Recognition have been perseveringly working for added improvements in this area. This paper discusses an extensive survey of scene understanding with various strategies and methods.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122403375","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 : 1900-01-01DOI: 10.1109/ICCCSP.2017.7944060
S. Kamalakannan, R. Ambigai
Model and analysis of a wall climbing robot based on the link and suction mechanism. Many wall climbing robots are designed and shaped for few decades, but still, the underlying problems for the wall climbing are faced by the designers. Wall-climbing robots consist of a two mechanism, one is link and other is suction mechanism. In link mechanism there are two joints I-joint and T-joint, Where I-joint can rotate about its axis, T-joint can rotate about 180, Both the joints give the ability to rotate in clockwise and anticlockwise direction, which helps the robot to have a good transient mechanism between the horizontal wall to vertical wall. Based on these link mechanisms static and dynamic analysis were carried out to find the stress and strain developed in the joint during the motion. To achieve the suction mechanism, suction cups are placed on the suction base in a triangle shape and three suction cups are employed. Based on the weight of the robot load distribution is calculated. Both the static and dynamic analysis is performed using the software Ansys R15 and Inventry15.
{"title":"Analysis of modular biped wall climbing robot with high mobility and effective transit mechanism","authors":"S. Kamalakannan, R. Ambigai","doi":"10.1109/ICCCSP.2017.7944060","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944060","url":null,"abstract":"Model and analysis of a wall climbing robot based on the link and suction mechanism. Many wall climbing robots are designed and shaped for few decades, but still, the underlying problems for the wall climbing are faced by the designers. Wall-climbing robots consist of a two mechanism, one is link and other is suction mechanism. In link mechanism there are two joints I-joint and T-joint, Where I-joint can rotate about its axis, T-joint can rotate about 180, Both the joints give the ability to rotate in clockwise and anticlockwise direction, which helps the robot to have a good transient mechanism between the horizontal wall to vertical wall. Based on these link mechanisms static and dynamic analysis were carried out to find the stress and strain developed in the joint during the motion. To achieve the suction mechanism, suction cups are placed on the suction base in a triangle shape and three suction cups are employed. Based on the weight of the robot load distribution is calculated. Both the static and dynamic analysis is performed using the software Ansys R15 and Inventry15.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134326839","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 : 1900-01-01DOI: 10.1109/ICCCSP.2017.7944068
U. Purushotham, K. Suresh
Design of Specific architecture for a given application is very much necessary to solve the present day complex problems. Low cost VLSI architectures are used to deal with these efforts. Since mobiles phones for used worldwide in large numbers, developing dedicated hardware on high volume products like these will benefit VLSI economically. Some VLSI approaches are economically feasible in architectural synthesis of digital signal processing systems. These approaches are very essential in low volume to medium volume DSP applications. Speech Processing is one of the complex DSP procedures in mobile phone since it involves; speech recognition, noise suppression, silence detection, pitch analysis and may more. VLSI programmable technologies, such as FPGA, which is recommended for low price VLSI, is used widely in market. In this paper we have developed one such application specific architecture for suppressing surrounding noise in the mobile communication.
{"title":"Development of efficient VLSI architecture for speech processing in mobile communication","authors":"U. Purushotham, K. Suresh","doi":"10.1109/ICCCSP.2017.7944068","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944068","url":null,"abstract":"Design of Specific architecture for a given application is very much necessary to solve the present day complex problems. Low cost VLSI architectures are used to deal with these efforts. Since mobiles phones for used worldwide in large numbers, developing dedicated hardware on high volume products like these will benefit VLSI economically. Some VLSI approaches are economically feasible in architectural synthesis of digital signal processing systems. These approaches are very essential in low volume to medium volume DSP applications. Speech Processing is one of the complex DSP procedures in mobile phone since it involves; speech recognition, noise suppression, silence detection, pitch analysis and may more. VLSI programmable technologies, such as FPGA, which is recommended for low price VLSI, is used widely in market. In this paper we have developed one such application specific architecture for suppressing surrounding noise in the mobile communication.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113972569","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 : 1900-01-01DOI: 10.1109/ICCCSP.2017.7944065
D. Chatterjee, A. Kundu
Fabrication of user-friendly, small in size and lightweight Micro strip patch antenna has now become an indispensable part in different wireless applications. In this paper, Transmission line model is used to simulate a rectangular micro strip patch antenna using both aperture coupled feed as well as proximity coupled feed and a comparison in performance of different antenna parameters are observed. The novel antenna resonates at 5.853 GHz for WLAN applications and is designed in CST MICROWAVE STUDIO 9.
用户友好、体积小、重量轻的微带贴片天线的制造已经成为各种无线应用中不可缺少的一部分。本文采用传输线模型对矩形微带贴片天线分别采用孔径耦合馈电和接近耦合馈电进行了仿真，比较了不同天线参数下的性能。该新型天线谐振频率为5.853 GHz，适用于WLAN应用，并在CST MICROWAVE STUDIO 9中设计。
{"title":"Performance analysis and comparative study of microstrip patch antenna using aperture coupled and proximity coupled feeding methodology","authors":"D. Chatterjee, A. Kundu","doi":"10.1109/ICCCSP.2017.7944065","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944065","url":null,"abstract":"Fabrication of user-friendly, small in size and lightweight Micro strip patch antenna has now become an indispensable part in different wireless applications. In this paper, Transmission line model is used to simulate a rectangular micro strip patch antenna using both aperture coupled feed as well as proximity coupled feed and a comparison in performance of different antenna parameters are observed. The novel antenna resonates at 5.853 GHz for WLAN applications and is designed in CST MICROWAVE STUDIO 9.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114538346","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 : 1900-01-01DOI: 10.1109/ICCCSP.2017.7944099
K. Rajaram, M. Malarvizhi
Resource provisioning refers to the selection, deployment and management of resources to ensure guaranteed performance for the applications. Efficient resource provisioning is a challenging problem since it is dynamic in nature and requires supporting applications with different performance requirements. In order to provide adequate resources for applications with different requirements that must satisfy expected performance, it is required to predict correct set of resources. Towards this objective, a prediction model for resource provisioning has been developed in this work. The prediction model is trained by the dataset that is created using a benchmark e-Commerce application namely TPC-W that is deployed in Amazon EC2 environment. The experimental results show that the prediction model based on Linear regression exhibits 70 percentage of accuracy, Support Vector Regression shows 68 percentage of accuracy, whereas Multilayer perceptron exhibits 90 percentage of accuracy for the same dataset.
{"title":"Utilization based prediction model for resource provisioning","authors":"K. Rajaram, M. Malarvizhi","doi":"10.1109/ICCCSP.2017.7944099","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944099","url":null,"abstract":"Resource provisioning refers to the selection, deployment and management of resources to ensure guaranteed performance for the applications. Efficient resource provisioning is a challenging problem since it is dynamic in nature and requires supporting applications with different performance requirements. In order to provide adequate resources for applications with different requirements that must satisfy expected performance, it is required to predict correct set of resources. Towards this objective, a prediction model for resource provisioning has been developed in this work. The prediction model is trained by the dataset that is created using a benchmark e-Commerce application namely TPC-W that is deployed in Amazon EC2 environment. The experimental results show that the prediction model based on Linear regression exhibits 70 percentage of accuracy, Support Vector Regression shows 68 percentage of accuracy, whereas Multilayer perceptron exhibits 90 percentage of accuracy for the same dataset.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114358995","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 : 1900-01-01DOI: 10.1109/ICCCSP.2017.7944081
M. N. Kumar, T. Shanmuganantham
Feature Scenario of Substrate integrated waveguide (SIW) is a good solution for implementing centimeter and millimeter wave applications. In this paper, we present microstrip feed SIW cavity backed slot antenna for 60GHz applications which is intended by using Rogers RT/Duriod 5880 with dielectric constant 2.2. The simulation results show that reflection coefficient, VSWR, gain, radiation pattern and obtained 1.55GHz bandwidth with respect to −10 dB reference line.
{"title":"Microstrip feed substrate integrated waveguide cavity slot antenna for 60GHz applications","authors":"M. N. Kumar, T. Shanmuganantham","doi":"10.1109/ICCCSP.2017.7944081","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944081","url":null,"abstract":"Feature Scenario of Substrate integrated waveguide (SIW) is a good solution for implementing centimeter and millimeter wave applications. In this paper, we present microstrip feed SIW cavity backed slot antenna for 60GHz applications which is intended by using Rogers RT/Duriod 5880 with dielectric constant 2.2. The simulation results show that reflection coefficient, VSWR, gain, radiation pattern and obtained 1.55GHz bandwidth with respect to −10 dB reference line.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125230667","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 : 1900-01-01DOI: 10.1109/ICCCSP.2017.7944090
G. Jothilakshmi, A. Raaza
Breast cancer is one of the most common kind of cancer, as well as it's the major cause in increasing mortality rate in women. Mammography is the effective method that is used for the early detection of breast cancer. Digital mammograms have become the most effective source for the detection of breast cancer. This paper proposes a method for the detection and classification of mass abnormalities in digital mammogram images using multi SVM classifier. The goal of this research is to increase the diagnostic accuracy of image processing and optimum classification between malignant and benign abnormalities in mass region which reduces the misclassification of breast images. Malignant and benign abnormalities are detected from the segmented images using region based segmentation, which correspond to the Regions of Interest (ROIs) or abnormal regions. Texture based features are extracted from the ROI samples using Gray Level Co-Occurrence Matrices (GLCMs). For the purpose of classification between malignant and benign samples, the optimum subset of texture features are classified using a Multi-Support Vector Machine (SVM). The effectiveness of this paper is examined using classification accuracy, which produced an accuracy of 94%.
{"title":"Effective detection of mass abnormalities and its classification using multi-SVM classifier with digital mammogram images","authors":"G. Jothilakshmi, A. Raaza","doi":"10.1109/ICCCSP.2017.7944090","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944090","url":null,"abstract":"Breast cancer is one of the most common kind of cancer, as well as it's the major cause in increasing mortality rate in women. Mammography is the effective method that is used for the early detection of breast cancer. Digital mammograms have become the most effective source for the detection of breast cancer. This paper proposes a method for the detection and classification of mass abnormalities in digital mammogram images using multi SVM classifier. The goal of this research is to increase the diagnostic accuracy of image processing and optimum classification between malignant and benign abnormalities in mass region which reduces the misclassification of breast images. Malignant and benign abnormalities are detected from the segmented images using region based segmentation, which correspond to the Regions of Interest (ROIs) or abnormal regions. Texture based features are extracted from the ROI samples using Gray Level Co-Occurrence Matrices (GLCMs). For the purpose of classification between malignant and benign samples, the optimum subset of texture features are classified using a Multi-Support Vector Machine (SVM). The effectiveness of this paper is examined using classification accuracy, which produced an accuracy of 94%.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114529385","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 : 1900-01-01DOI: 10.1109/ICCCSP.2017.7944078
R. Kiruthika, T. Shanmuganantham, Rupak Gupta
A Microstrip Patch antenna with two operating frequencies for radar application is presented. The antenna is modeled to resonate at two frequencies in X-band. The X-band frequency range lies between 8 to 12 Gigahertz and are mostly used in radar applications. The design consists of Defected Ground Structure (DGS) provided to improve the antenna performance. The dielectric substrate used by the antenna is of low cost FR4 (Flame Retardant) Epoxy. The Ansoft High Frequency Structural Simulator (HFSS) Version 12 software is used to analyze the results. The parameters like gain, return loss, directivity and bandwidth are discussed in the paper. With 9.19 GHz and 10.82 GHz as the resonant frequencies, a return loss of −22.91 dB and −40.99 dB is obtained with 540 MHz and 1600 MHz as the bandwidth respectively.
提出了一种用于雷达的双工作频率微带贴片天线。该天线被建模为在x波段的两个频率上谐振。x波段的频率范围在8到12千兆赫之间，主要用于雷达应用。为提高天线性能，设计了缺陷地结构(DGS)。天线使用的介电基板是低成本的FR4(阻燃)环氧树脂。采用Ansoft High Frequency structure Simulator (HFSS) Version 12软件对仿真结果进行分析。本文讨论了增益、回波损耗、指向性和带宽等参数。当谐振频率为9.19 GHz和10.82 GHz时，在带宽为540 MHz和1600 MHz时，回波损耗分别为- 22.91 dB和- 40.99 dB。
{"title":"A novel dual band microstrip patch antenna with DOS for X-band applications","authors":"R. Kiruthika, T. Shanmuganantham, Rupak Gupta","doi":"10.1109/ICCCSP.2017.7944078","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944078","url":null,"abstract":"A Microstrip Patch antenna with two operating frequencies for radar application is presented. The antenna is modeled to resonate at two frequencies in X-band. The X-band frequency range lies between 8 to 12 Gigahertz and are mostly used in radar applications. The design consists of Defected Ground Structure (DGS) provided to improve the antenna performance. The dielectric substrate used by the antenna is of low cost FR4 (Flame Retardant) Epoxy. The Ansoft High Frequency Structural Simulator (HFSS) Version 12 software is used to analyze the results. The parameters like gain, return loss, directivity and bandwidth are discussed in the paper. With 9.19 GHz and 10.82 GHz as the resonant frequencies, a return loss of −22.91 dB and −40.99 dB is obtained with 540 MHz and 1600 MHz as the bandwidth respectively.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133861902","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 : 1900-01-01DOI: 10.1109/ICCCSP.2017.7944070
K. Rajaram, M. Malarvizhi
Accurate prediction of resources is a cliallenging problem in any environment. Effective provisioning of resources for on-premise applications with varied performance requirements requires an accurate prediction of resources. Towards this objective, a prediction model, namely. Multilayer Perceptron has been proposed in this work. The prediction model is trained using a dataset generated from TPC-W benchmark based online application and tested for new requirements. Its prediction accuracy has been compared with that of two other prediction models such as Linear Regression and Support Vector Regression. The Multilayer perceptron model is found to exhibit a better accuracy of 91.8 percentage.
{"title":"A model for predicting resources for on-premise applications","authors":"K. Rajaram, M. Malarvizhi","doi":"10.1109/ICCCSP.2017.7944070","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944070","url":null,"abstract":"Accurate prediction of resources is a cliallenging problem in any environment. Effective provisioning of resources for on-premise applications with varied performance requirements requires an accurate prediction of resources. Towards this objective, a prediction model, namely. Multilayer Perceptron has been proposed in this work. The prediction model is trained using a dataset generated from TPC-W benchmark based online application and tested for new requirements. Its prediction accuracy has been compared with that of two other prediction models such as Linear Regression and Support Vector Regression. The Multilayer perceptron model is found to exhibit a better accuracy of 91.8 percentage.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127262433","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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