Pub Date : 2017-02-01DOI: 10.1109/CIACT.2017.7977305
Tenzin Doleck, Paul Bazelais, D. Lemay
The purpose of the present study is to explore the factors that affect the use of Instagram among Colleged'enseignementgénéraletprofessionnel(CEGEP) students. In a sample of 135 students, the present study examined the role of need for self-expression in the acceptance of Instagram. To do so, a path model using an extended Technology Acceptance Model [3, 4] was used as an explanatory mechanism, wherein the contributory capacity for the variable need for self-expression was tested for its potential as an explanatory external variable. The results of the empirical analysis support the proposed hypotheses. This paper echoes those from varied scholarship on technology acceptance that the technology acceptance model is a useful framework for examining technology acceptance.
{"title":"Need for self-expression on instagram: A technology acceptance perspective","authors":"Tenzin Doleck, Paul Bazelais, D. Lemay","doi":"10.1109/CIACT.2017.7977305","DOIUrl":"https://doi.org/10.1109/CIACT.2017.7977305","url":null,"abstract":"The purpose of the present study is to explore the factors that affect the use of Instagram among Colleged'enseignementgénéraletprofessionnel(CEGEP) students. In a sample of 135 students, the present study examined the role of need for self-expression in the acceptance of Instagram. To do so, a path model using an extended Technology Acceptance Model [3, 4] was used as an explanatory mechanism, wherein the contributory capacity for the variable need for self-expression was tested for its potential as an explanatory external variable. The results of the empirical analysis support the proposed hypotheses. This paper echoes those from varied scholarship on technology acceptance that the technology acceptance model is a useful framework for examining technology acceptance.","PeriodicalId":218079,"journal":{"name":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"06 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129984328","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 : 2017-02-01DOI: 10.1109/CIACT.2017.7977378
V. Singh, R. Srivastava
Content-based image retrieval (CBIR) is growing research field in computer vision in which, we retrieve images that are visually relevant to the query. As we know that, CBIR system requires low-level descriptors, and many different methods have been recently proposed using color, texture, and shape based descriptors. Some of these methods use the histogram or some variation for representing color which may require a significant amount of similarity calculation and space. This paper uses L2 similarity measure on small dimension of hybrid color and shape features. i.e include Euclidean distance as L2 measure, color moment as color feature and invariant moment as a shape feature. From the descriptive analysis on benchmark Wang database, it is observed that proposed hybrid feature with L2 similarity measure performed significantly encouraging. For 20 number of retrieved images, it gives 66.2% mean-average precision and 13.24 % mean-average recall.
{"title":"Improved image retrieval using color-invariant moments","authors":"V. Singh, R. Srivastava","doi":"10.1109/CIACT.2017.7977378","DOIUrl":"https://doi.org/10.1109/CIACT.2017.7977378","url":null,"abstract":"Content-based image retrieval (CBIR) is growing research field in computer vision in which, we retrieve images that are visually relevant to the query. As we know that, CBIR system requires low-level descriptors, and many different methods have been recently proposed using color, texture, and shape based descriptors. Some of these methods use the histogram or some variation for representing color which may require a significant amount of similarity calculation and space. This paper uses L2 similarity measure on small dimension of hybrid color and shape features. i.e include Euclidean distance as L2 measure, color moment as color feature and invariant moment as a shape feature. From the descriptive analysis on benchmark Wang database, it is observed that proposed hybrid feature with L2 similarity measure performed significantly encouraging. For 20 number of retrieved images, it gives 66.2% mean-average precision and 13.24 % mean-average recall.","PeriodicalId":218079,"journal":{"name":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130070074","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 : 2017-02-01DOI: 10.1109/CIACT.2017.7977335
U. Singh, Akhilesh Tiwari, R. Singh, Deepika Dubey
In this work, an adaptive neural network like Kohonen neural network (KNN) model reference is used for tracking control of nonlinear system. Proposed adaptive Kohonen neural network (ADKNN) are used to minimize the error between output and target signal for nonlinear discrete-time systems. The ADKNN is a feed-forward neural network help for approximation of the nonlinearities in the industrial plant and main characteristic of the system is taken into account is disturbances in the system. Tracking error by the adaptive ADKNN based approximation system is an important characteristic for the design and analysis. It is shown in results that the preference of the error system is decisive to the solution of tracking control. Difference between ADKNN output and reference signal can be made arbitrarily small in the close neighbourhood of zero. The viability of the ADKNN is verified via simulation example of nonlinear system.
{"title":"Kohonen neural network model reference for nonlinear discrete time systems","authors":"U. Singh, Akhilesh Tiwari, R. Singh, Deepika Dubey","doi":"10.1109/CIACT.2017.7977335","DOIUrl":"https://doi.org/10.1109/CIACT.2017.7977335","url":null,"abstract":"In this work, an adaptive neural network like Kohonen neural network (KNN) model reference is used for tracking control of nonlinear system. Proposed adaptive Kohonen neural network (ADKNN) are used to minimize the error between output and target signal for nonlinear discrete-time systems. The ADKNN is a feed-forward neural network help for approximation of the nonlinearities in the industrial plant and main characteristic of the system is taken into account is disturbances in the system. Tracking error by the adaptive ADKNN based approximation system is an important characteristic for the design and analysis. It is shown in results that the preference of the error system is decisive to the solution of tracking control. Difference between ADKNN output and reference signal can be made arbitrarily small in the close neighbourhood of zero. The viability of the ADKNN is verified via simulation example of nonlinear system.","PeriodicalId":218079,"journal":{"name":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134555642","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 : 2017-02-01DOI: 10.1109/CIACT.2017.7977340
L. Nanda, A. Dasgupta, U. K. Rout
Solar energy with solar tracking, will become possible to generate more energy since the solar panel depends on the sun. Even though the initial cost of setting up the tracking system is considerably high, there are cheaper options that have been proposed over time. Light Dependent Resistors (LDRs) are used for sunlight detection. The control circuit is ATMega 328P microcontroller. The solar panel is positioned where it is able to receive maximum light. As compared to other motors, the servo motors are able to maintain their torque at high speed. They are also more efficient with efficiencies in the range of 80–90%. Most of the panels still operate at less than 40%. As a result, most people are forced to either purchase a number of panels to meet their energy demands or purchase single systems with large outputs. One of the ways to increase the efficiency of solar panels while reducing costs is to use tracking. Through tracking, there will be increased exposure of the panel to the sun, making it increased power output. The trackers can either be dual or single axis trackers. Dual trackers are more efficient because they track sunlight from both axes.
{"title":"Smart solar tracking system for optimal power generation","authors":"L. Nanda, A. Dasgupta, U. K. Rout","doi":"10.1109/CIACT.2017.7977340","DOIUrl":"https://doi.org/10.1109/CIACT.2017.7977340","url":null,"abstract":"Solar energy with solar tracking, will become possible to generate more energy since the solar panel depends on the sun. Even though the initial cost of setting up the tracking system is considerably high, there are cheaper options that have been proposed over time. Light Dependent Resistors (LDRs) are used for sunlight detection. The control circuit is ATMega 328P microcontroller. The solar panel is positioned where it is able to receive maximum light. As compared to other motors, the servo motors are able to maintain their torque at high speed. They are also more efficient with efficiencies in the range of 80–90%. Most of the panels still operate at less than 40%. As a result, most people are forced to either purchase a number of panels to meet their energy demands or purchase single systems with large outputs. One of the ways to increase the efficiency of solar panels while reducing costs is to use tracking. Through tracking, there will be increased exposure of the panel to the sun, making it increased power output. The trackers can either be dual or single axis trackers. Dual trackers are more efficient because they track sunlight from both axes.","PeriodicalId":218079,"journal":{"name":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114311902","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 : 2017-02-01DOI: 10.1109/CIACT.2017.7977281
Pranav Suri, N. Roy
Usage of social network for topic identification has become essential when dealing with event detection, especially when the events impact the society. In order to address this task, machine learning algorithms and natural language processing techniques have been extensively used. In this paper, an approach to obtain meaningful data from Twitter has been discussed. Further, Latent Dirichlet Allocation (LDA) and Non-Negative Matrix Factorization (NMF) have been used in order to detect topics from this textual data obtained from Twitter along with RSS feed of news headlines. The observed results show that both the algorithms perform well in detecting topics from text streams, the results of LDA being more semantically interpretable while NMF being faster of the two.
{"title":"Comparison between LDA & NMF for event-detection from large text stream data","authors":"Pranav Suri, N. Roy","doi":"10.1109/CIACT.2017.7977281","DOIUrl":"https://doi.org/10.1109/CIACT.2017.7977281","url":null,"abstract":"Usage of social network for topic identification has become essential when dealing with event detection, especially when the events impact the society. In order to address this task, machine learning algorithms and natural language processing techniques have been extensively used. In this paper, an approach to obtain meaningful data from Twitter has been discussed. Further, Latent Dirichlet Allocation (LDA) and Non-Negative Matrix Factorization (NMF) have been used in order to detect topics from this textual data obtained from Twitter along with RSS feed of news headlines. The observed results show that both the algorithms perform well in detecting topics from text streams, the results of LDA being more semantically interpretable while NMF being faster of the two.","PeriodicalId":218079,"journal":{"name":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114451425","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 : 2017-02-01DOI: 10.1109/CIACT.2017.7977308
A. Mahmoud, Munna Khan
A robust TS Fuzzy controller is developed for a discrete-time 2-DOF helicopter model in this work. The state feedback controller is synthesized based on fuzzy model control technique called Parallel Distributed compensation (PDC). The new algorithm control is a straightforward controller to robustly stabilize the flight attitude of 2-DOF helicopter. Thus, the proposed algorithm is used to ensure the quadratic stabilization and performance of nonlinear closed loop system and ensure robustness of fuzzy model control system. Moreover, the design conditions and criteria for the controller are formulated in the form of linear matrix inequality (LMI). The simulation response will compare the efficiency and disturbance attenuation of the designed flight controller to the other scheme.
{"title":"Robust TS fuzzy controller for helicopter via parallel distributed compensation","authors":"A. Mahmoud, Munna Khan","doi":"10.1109/CIACT.2017.7977308","DOIUrl":"https://doi.org/10.1109/CIACT.2017.7977308","url":null,"abstract":"A robust TS Fuzzy controller is developed for a discrete-time 2-DOF helicopter model in this work. The state feedback controller is synthesized based on fuzzy model control technique called Parallel Distributed compensation (PDC). The new algorithm control is a straightforward controller to robustly stabilize the flight attitude of 2-DOF helicopter. Thus, the proposed algorithm is used to ensure the quadratic stabilization and performance of nonlinear closed loop system and ensure robustness of fuzzy model control system. Moreover, the design conditions and criteria for the controller are formulated in the form of linear matrix inequality (LMI). The simulation response will compare the efficiency and disturbance attenuation of the designed flight controller to the other scheme.","PeriodicalId":218079,"journal":{"name":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114769911","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 : 2017-02-01DOI: 10.1109/CIACT.2017.7977342
L. Tian
This paper deduces two novel analytical model of eddy-current power losses in high frequency transformer core. One is based upon the electrical field strength outside the core. The other is based on the electrical field strength inside the core. The formulas are frequency dependent, taking into account the effect of skin-effect and leakage fluxes. The calculated results with two formulas are in good agreement.
{"title":"Two calculation methods of eddy-current losses in high frequency transformer","authors":"L. Tian","doi":"10.1109/CIACT.2017.7977342","DOIUrl":"https://doi.org/10.1109/CIACT.2017.7977342","url":null,"abstract":"This paper deduces two novel analytical model of eddy-current power losses in high frequency transformer core. One is based upon the electrical field strength outside the core. The other is based on the electrical field strength inside the core. The formulas are frequency dependent, taking into account the effect of skin-effect and leakage fluxes. The calculated results with two formulas are in good agreement.","PeriodicalId":218079,"journal":{"name":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114972311","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 : 2017-02-01DOI: 10.1109/CIACT.2017.7977365
Debashish Mohapatra, Nisha Kashyap, Aditya P. Biswal, Subhransu Padhee
This paper presents design, development, implementation and assessment details of a low-cost educational laboratory setup which can be used to teach the basic and advanced principles of measurement as-well-as data acquisition system in instrumentation engineering course. With the help of this laboratory the students can understand the operational principles of different sensors, signal conditioning circuit, computing device and communication media. The laboratory course uses open-source software, open-source hardware tools integrated with information and communication technologies.
{"title":"Design of measurement and data acquisition laboratory for instrumentation engineering course","authors":"Debashish Mohapatra, Nisha Kashyap, Aditya P. Biswal, Subhransu Padhee","doi":"10.1109/CIACT.2017.7977365","DOIUrl":"https://doi.org/10.1109/CIACT.2017.7977365","url":null,"abstract":"This paper presents design, development, implementation and assessment details of a low-cost educational laboratory setup which can be used to teach the basic and advanced principles of measurement as-well-as data acquisition system in instrumentation engineering course. With the help of this laboratory the students can understand the operational principles of different sensors, signal conditioning circuit, computing device and communication media. The laboratory course uses open-source software, open-source hardware tools integrated with information and communication technologies.","PeriodicalId":218079,"journal":{"name":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115986124","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 : 2017-02-01DOI: 10.1109/CIACT.2017.7977354
A. Sinha, Shubham Saurabh
Automotive network is no more limited to slow speed interfaces which could fulfill its requirement with kbps speed. Increasing bandwidth requirement has posed challenge to designers to come-up with solutions which could help network run at desired high speed. Classic CAN (Controller Area Network) was conceptualized with the very same purpose but its limited speed (up to 1Mbps) became unable to serve the automotive network because of its increased appetite for bandwidth. That's where CAN FD (CAN with flexible data rate) took birth. CAN FD improved the classic CAN by incorporating two things: 1. Higher bit rate support 2. Larger payload support. By introducing these two features it was assumed that CAN FD could accommodate bandwidth up to 8Mbps (>> 1Mbps of Classic CAN) but is it really true? This is what this paper is going to answer. The paper talks about the impact of increasing bit rate or payload on overall CAN packet performance. It also throws some light on CAN FD performance with respect to different SOCs. It also describes how any other system level module could be utilized to check the overall performance of CAN FD.
{"title":"CAN FD: Performance reality","authors":"A. Sinha, Shubham Saurabh","doi":"10.1109/CIACT.2017.7977354","DOIUrl":"https://doi.org/10.1109/CIACT.2017.7977354","url":null,"abstract":"Automotive network is no more limited to slow speed interfaces which could fulfill its requirement with kbps speed. Increasing bandwidth requirement has posed challenge to designers to come-up with solutions which could help network run at desired high speed. Classic CAN (Controller Area Network) was conceptualized with the very same purpose but its limited speed (up to 1Mbps) became unable to serve the automotive network because of its increased appetite for bandwidth. That's where CAN FD (CAN with flexible data rate) took birth. CAN FD improved the classic CAN by incorporating two things: 1. Higher bit rate support 2. Larger payload support. By introducing these two features it was assumed that CAN FD could accommodate bandwidth up to 8Mbps (>> 1Mbps of Classic CAN) but is it really true? This is what this paper is going to answer. The paper talks about the impact of increasing bit rate or payload on overall CAN packet performance. It also throws some light on CAN FD performance with respect to different SOCs. It also describes how any other system level module could be utilized to check the overall performance of CAN FD.","PeriodicalId":218079,"journal":{"name":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123662123","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 : 2017-02-01DOI: 10.1109/CIACT.2017.7977313
Harmeet Saini, V. Sahni
Ultrasound pictures are hard to segment because of nearness of speckle noise and the limits of irregular areas. Additionally these are hard to perceive because of resemblance. It's quite difficult to get the desired result from the ultrasound images without improving their quality. Ultrasound images are usually in poor quality. In this paper, a technique to improve the quality of image using region growing segmentation and some other algorithm of image enhancement, de-noising etc. is presented. At the end of processing, the image is enhanced with clear boundaries of region of interest.
{"title":"Region growing segmentation using de-noising algorithm for medical ultrasound images","authors":"Harmeet Saini, V. Sahni","doi":"10.1109/CIACT.2017.7977313","DOIUrl":"https://doi.org/10.1109/CIACT.2017.7977313","url":null,"abstract":"Ultrasound pictures are hard to segment because of nearness of speckle noise and the limits of irregular areas. Additionally these are hard to perceive because of resemblance. It's quite difficult to get the desired result from the ultrasound images without improving their quality. Ultrasound images are usually in poor quality. In this paper, a technique to improve the quality of image using region growing segmentation and some other algorithm of image enhancement, de-noising etc. is presented. At the end of processing, the image is enhanced with clear boundaries of region of interest.","PeriodicalId":218079,"journal":{"name":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124526614","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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