Pub Date : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9009350
R. Rahul, Rajiv Kapoor, M. M. Tripathi
this paper deals with hybrid recognition method and classification technique based on Hilbert-Huang transform (HHT) and support vector machine to enhance the accurate delivery and assure efficient recognition of power quality events in the electrical systems. An authentic and quick disturbance recognition method which is the base of power quality control is mandatory. To accomplish this power quality disturbance issue, a Hilbert–Huang transform based method is presented here. Hilbert–Huang transform is an advanced signal processing technique that can be used in the study of non-linear and non-stationary signals.. In the proposed technique, the synthetically generated power quality events are breaking into Hilbert–Huang transform components, referred as empirical mode decomposition and intrinsic mode components. A decomposition action and features separation using Empirical Mode Decomposition (EMD) is conducted for non-stationary power quality disturbances into Intrinsic Mode Functions (IMFs). These components play important role in the calculation of the frequency and amplitude of power quality events. On the bases of these features, fuzzy rules are designed and classification of power quality disturbances performed. The performance evaluation based on simulations results shows that the proposed method has better accuracy and validity for power quality disturbance monitoring in electrical systems.
{"title":"Hilbert Huang Transform and type-1 Fuzzy based Recognition and Classification of Power Signal Disturbances","authors":"R. Rahul, Rajiv Kapoor, M. M. Tripathi","doi":"10.1109/ICRIEECE44171.2018.9009350","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9009350","url":null,"abstract":"this paper deals with hybrid recognition method and classification technique based on Hilbert-Huang transform (HHT) and support vector machine to enhance the accurate delivery and assure efficient recognition of power quality events in the electrical systems. An authentic and quick disturbance recognition method which is the base of power quality control is mandatory. To accomplish this power quality disturbance issue, a Hilbert–Huang transform based method is presented here. Hilbert–Huang transform is an advanced signal processing technique that can be used in the study of non-linear and non-stationary signals.. In the proposed technique, the synthetically generated power quality events are breaking into Hilbert–Huang transform components, referred as empirical mode decomposition and intrinsic mode components. A decomposition action and features separation using Empirical Mode Decomposition (EMD) is conducted for non-stationary power quality disturbances into Intrinsic Mode Functions (IMFs). These components play important role in the calculation of the frequency and amplitude of power quality events. On the bases of these features, fuzzy rules are designed and classification of power quality disturbances performed. The performance evaluation based on simulations results shows that the proposed method has better accuracy and validity for power quality disturbance monitoring in electrical systems.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124255121","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 : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9008605
S. Panda, D. Mishra, S. Dash
This paper presents application of ANFIS and ANN in fault classification and location in a long transmission line. Compared to other methods, Machine Learning techniques based on artificial intelligence perform the best in fault classification and finding its location. Most frequently used ML techniques for this purpose are ANFIS and ANN. Both the techniques were able not only to identify fault type but also to find the fault location in the transmission line very accurately using source end current and voltage data. Common training and testing data was used for ANFIS and ANN. This data was obtained from simulation of faults in a long transmission line model using MATLAB. Error analysis and comparison of both the techniques is also presented in this paper. A GUI was designed for comparison of both the methods.
{"title":"Comparison of ANFIS and ANN Techniques in Fault Classification and Location in Long Transmission Lines","authors":"S. Panda, D. Mishra, S. Dash","doi":"10.1109/ICRIEECE44171.2018.9008605","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9008605","url":null,"abstract":"This paper presents application of ANFIS and ANN in fault classification and location in a long transmission line. Compared to other methods, Machine Learning techniques based on artificial intelligence perform the best in fault classification and finding its location. Most frequently used ML techniques for this purpose are ANFIS and ANN. Both the techniques were able not only to identify fault type but also to find the fault location in the transmission line very accurately using source end current and voltage data. Common training and testing data was used for ANFIS and ANN. This data was obtained from simulation of faults in a long transmission line model using MATLAB. Error analysis and comparison of both the techniques is also presented in this paper. A GUI was designed for comparison of both the methods.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127362670","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 : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9008668
Moirangthem Tiken Singh, Partha Pratim Barman, R. Gogoi
The work presents a speech recognition model for the Assamese language of the state of Assam of India. We experimented the model on the digits of Assamese language. The Deep Neural Network is used to make the recognition model. The Long Short-Term Memory Network (LSTM), which is a special kind of Recurrent Neural Network composed of Long Short-Term Memory blocks is the primary layer of our neural network model. We also use Mel Frequency Cepstral Coefficients for choosing the speech features. Finally, the accuracy of the model is evaluated based on the recognition rate.
{"title":"Speech Recognition Model for Assamese Language Using Deep Neural Network","authors":"Moirangthem Tiken Singh, Partha Pratim Barman, R. Gogoi","doi":"10.1109/ICRIEECE44171.2018.9008668","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9008668","url":null,"abstract":"The work presents a speech recognition model for the Assamese language of the state of Assam of India. We experimented the model on the digits of Assamese language. The Deep Neural Network is used to make the recognition model. The Long Short-Term Memory Network (LSTM), which is a special kind of Recurrent Neural Network composed of Long Short-Term Memory blocks is the primary layer of our neural network model. We also use Mel Frequency Cepstral Coefficients for choosing the speech features. Finally, the accuracy of the model is evaluated based on the recognition rate.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127377503","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 : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9008634
A. Alam, S. Banerjee, K. Bhattacharya, C. Panigrahi
Due to increasing load in the modern power systems, transmission and distribution of power is becoming problematic due to issues related to power flow, system stability, efficiency of transmission, etc. By controlling the parameters like line impedance, voltage magnitude and phase angle, the power flow can be optimized till a certain extent. For utilization of a power transmission network effectively, FACTS devices need to be placed in an optimal position. Static Synchronous Compensator (STATCOM) and Thyrister Controlled Series Compensator (TCSC) are devices when positioned in the suitable bus resulting in increased stability, increased load-ability and minimization of losses. An IEEE 5 bus system has been used to test for the optimal location of these devices and a comparative study has been done to determine the most efficient device. The comparative study is done with respect to the minimization of real power flows, total reactive power loss and total real power loss based upon sensitivity indices of the lines. The method has been described elaborately further.
{"title":"Power loss Reduction & Enhancement of power transfer capability with STATCOM & TCSC using Sensitivity Analysis","authors":"A. Alam, S. Banerjee, K. Bhattacharya, C. Panigrahi","doi":"10.1109/ICRIEECE44171.2018.9008634","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9008634","url":null,"abstract":"Due to increasing load in the modern power systems, transmission and distribution of power is becoming problematic due to issues related to power flow, system stability, efficiency of transmission, etc. By controlling the parameters like line impedance, voltage magnitude and phase angle, the power flow can be optimized till a certain extent. For utilization of a power transmission network effectively, FACTS devices need to be placed in an optimal position. Static Synchronous Compensator (STATCOM) and Thyrister Controlled Series Compensator (TCSC) are devices when positioned in the suitable bus resulting in increased stability, increased load-ability and minimization of losses. An IEEE 5 bus system has been used to test for the optimal location of these devices and a comparative study has been done to determine the most efficient device. The comparative study is done with respect to the minimization of real power flows, total reactive power loss and total real power loss based upon sensitivity indices of the lines. The method has been described elaborately further.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114918534","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 : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9008899
D. Kumari, M. N. Giri Prasad, Shaik Mahammad Shakeer
Multiple Input Multiple Output (MIMO) wireless systems are perceived an important reorganization for upcoming wireless systems. The performance of communication systems regarding their spectral efficiency and ability is enhanced as a result of MIMO systems. The required transmit power as for desired Bit Error Rate (BER) has been furnished in combination with appropriate receiver diversity. The study exposed that MIMO is a further efficient energy system since accomplished a decent BER performance at low SNR, when compared with SISO, SIMO and MISO which needs high SNR to accomplish at appropriate BER performances. The multiplexing gain experienced in the multiple antenna strategies utilizing the Space Time Block Code (STBC) and Maximal Ratio Combining (MRC). The impacts of number of transmitter and receiver antennas on the MIMO system’s BER performance over Rayleigh, Rician and Weibull channels with STBC transmitter and MRC receiver is analyzed. The BER performance characteristics of MRC receiver is explored for Quadrature Phase Shift Keying (QPSK) modulation.
{"title":"Performance of MIMO systems using Maximal Ratio Combining over Weibull Fading Channel","authors":"D. Kumari, M. N. Giri Prasad, Shaik Mahammad Shakeer","doi":"10.1109/ICRIEECE44171.2018.9008899","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9008899","url":null,"abstract":"Multiple Input Multiple Output (MIMO) wireless systems are perceived an important reorganization for upcoming wireless systems. The performance of communication systems regarding their spectral efficiency and ability is enhanced as a result of MIMO systems. The required transmit power as for desired Bit Error Rate (BER) has been furnished in combination with appropriate receiver diversity. The study exposed that MIMO is a further efficient energy system since accomplished a decent BER performance at low SNR, when compared with SISO, SIMO and MISO which needs high SNR to accomplish at appropriate BER performances. The multiplexing gain experienced in the multiple antenna strategies utilizing the Space Time Block Code (STBC) and Maximal Ratio Combining (MRC). The impacts of number of transmitter and receiver antennas on the MIMO system’s BER performance over Rayleigh, Rician and Weibull channels with STBC transmitter and MRC receiver is analyzed. The BER performance characteristics of MRC receiver is explored for Quadrature Phase Shift Keying (QPSK) modulation.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131035148","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}
IOT becomes a revolutionary transformation in our future digital world. Impact of rapid growth and real adaption of IOT touches day by day every ones life. IOT platform where every day a large no of physical objects are connected with others through internet and each objects have a unique identification to other devices. We are gifted from IOT generation as smart cities , smart homes, smart devices, parking sensors, real time medical data prediction in health care application and many mores. But the major concerns of IOT platform are privacy concerns, insecure update, week encryption technique. poor passwords and some UI based vulnerabilities.. We have discussed about Radio Frequency Identification (RFID) under IOT environment where large amount of data are in open communication without proper authentication . Some widely used cryptographic algorithm already have used in IOT platform. For last few years , lots of attention of researcher to optimize size and power consumption of IOT devices which finds an efficient authentication scheme with minimum computational complexity. In this paper we have proposed a Elliptic curve Cryptography based RFID scheme for IOT platform.
{"title":"Implementation Of An Efficient Security Scheme Through Elliptic Curve Cryptography Based Radio-Frequency Identification(RFID) In Context Of Internet Of Things","authors":"Moumita Chakraborty, Bappaditya Jana, Tamoghna Mandal","doi":"10.1109/ICRIEECE44171.2018.9008906","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9008906","url":null,"abstract":"IOT becomes a revolutionary transformation in our future digital world. Impact of rapid growth and real adaption of IOT touches day by day every ones life. IOT platform where every day a large no of physical objects are connected with others through internet and each objects have a unique identification to other devices. We are gifted from IOT generation as smart cities , smart homes, smart devices, parking sensors, real time medical data prediction in health care application and many mores. But the major concerns of IOT platform are privacy concerns, insecure update, week encryption technique. poor passwords and some UI based vulnerabilities.. We have discussed about Radio Frequency Identification (RFID) under IOT environment where large amount of data are in open communication without proper authentication . Some widely used cryptographic algorithm already have used in IOT platform. For last few years , lots of attention of researcher to optimize size and power consumption of IOT devices which finds an efficient authentication scheme with minimum computational complexity. In this paper we have proposed a Elliptic curve Cryptography based RFID scheme for IOT platform.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131342437","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}
Energy efficiency is an important issue in the proposed next generation wireless communications by 2020 as it severely effects the human life on the earth surface mainly on two factors has become energy concern during the past decade. The two factors of concern are global warming due to CO2 emission and sea level raise. Further, this issue has become more concern due to the ever increasing demand of data rates, spectral efficiency and quality of service combining with massive IoT communications. Therefore there is need to develop a green mobile communications by 2020, which can give reduced energy consumption and increased battery life besides increased capacity to enable massive deployment of small cell base stations. The proposed wireless communication network with the above features is referred to an energy efficient green mobile communication (5G). In this paper a survey of various technologies that are proposed for realization of the green mobile communication have been discussed in brief. Various technologies proposed for the realization of 5G are simultaneous wireless power and information transfer, massive multiple input multiple output, millimeter waves and beamforming. Analysis has also been carried out in case of the proposed massive MIMO antennas and beamforming technique as a case study of energy efficient architecture.
{"title":"Energy Efficient Green Mobile Communications in India by 2020","authors":"Babji Prasad Chapa, Sasibhushana Rao Gottapu, Vinod Kumar Mogadala","doi":"10.1109/ICRIEECE44171.2018.9009112","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9009112","url":null,"abstract":"Energy efficiency is an important issue in the proposed next generation wireless communications by 2020 as it severely effects the human life on the earth surface mainly on two factors has become energy concern during the past decade. The two factors of concern are global warming due to CO2 emission and sea level raise. Further, this issue has become more concern due to the ever increasing demand of data rates, spectral efficiency and quality of service combining with massive IoT communications. Therefore there is need to develop a green mobile communications by 2020, which can give reduced energy consumption and increased battery life besides increased capacity to enable massive deployment of small cell base stations. The proposed wireless communication network with the above features is referred to an energy efficient green mobile communication (5G). In this paper a survey of various technologies that are proposed for realization of the green mobile communication have been discussed in brief. Various technologies proposed for the realization of 5G are simultaneous wireless power and information transfer, massive multiple input multiple output, millimeter waves and beamforming. Analysis has also been carried out in case of the proposed massive MIMO antennas and beamforming technique as a case study of energy efficient architecture.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131911955","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 : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9008627
Siddhesh Rane, P. V. Manivannan
Minimally Invasive Surgery(MIS) is a type of surgery where surgical instrument e.g. laparoscope, endoscope etc. is inserted into a human body through a small incision. The instrument has to be manipulated about the insertion point also known as trocar point to avoid tearing of the skin. Robotic manipulators with Remote Center of Motion (RCM) mechanism are extensively used in this kind of surgery. Kinematic design is important phase in design of such manipulator to ensure safety, accuracy, ergonomics and dexterity. In this paper link lengths of the software controlled RCM manipulator are optimized to maximize global isotropy. Global Conditioning Index (GCI) over the defined workspace is used as metric of global isotropy.
{"title":"Optimization of Software Controlled Remote Center of Motion Manipulator for Maximum Isotropy","authors":"Siddhesh Rane, P. V. Manivannan","doi":"10.1109/ICRIEECE44171.2018.9008627","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9008627","url":null,"abstract":"Minimally Invasive Surgery(MIS) is a type of surgery where surgical instrument e.g. laparoscope, endoscope etc. is inserted into a human body through a small incision. The instrument has to be manipulated about the insertion point also known as trocar point to avoid tearing of the skin. Robotic manipulators with Remote Center of Motion (RCM) mechanism are extensively used in this kind of surgery. Kinematic design is important phase in design of such manipulator to ensure safety, accuracy, ergonomics and dexterity. In this paper link lengths of the software controlled RCM manipulator are optimized to maximize global isotropy. Global Conditioning Index (GCI) over the defined workspace is used as metric of global isotropy.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131962717","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 : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9009374
J. Priyadarshini
In order to cope with increased demand of energy, an efficient photovoltaic (PV) power system is to be developed which extract the maximum power from the solar model by using Maximum Power Point Tracker (MPPT). This research is focused on the implementation of Fuzzy Logic based MPPT which is compared with conventional P&O MPPT. In first stage, PV Module with Boost Converter with Fuzzy Logic based MPPT and P&O MPPT are simulated in MATLAB/Simulink. From the simulation it is founded that FMPPT can track the Maximum Power Point (MPP) with more precisely and firstly. In second stage Quadratic Boost Converter (QBC) & Boost converter with fuzzy logic based MPPT controller (FMPPT) in different solar irradiation is simulated in MATLAB/Simulink. From simulation it is observed that QBC has high voltage conversion ratio & less oscillation in transient state compared to Boost converter.
{"title":"Modelling & Simulation Of Pv System With Fuzzy Mppt Based Converter","authors":"J. Priyadarshini","doi":"10.1109/ICRIEECE44171.2018.9009374","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9009374","url":null,"abstract":"In order to cope with increased demand of energy, an efficient photovoltaic (PV) power system is to be developed which extract the maximum power from the solar model by using Maximum Power Point Tracker (MPPT). This research is focused on the implementation of Fuzzy Logic based MPPT which is compared with conventional P&O MPPT. In first stage, PV Module with Boost Converter with Fuzzy Logic based MPPT and P&O MPPT are simulated in MATLAB/Simulink. From the simulation it is founded that FMPPT can track the Maximum Power Point (MPP) with more precisely and firstly. In second stage Quadratic Boost Converter (QBC) & Boost converter with fuzzy logic based MPPT controller (FMPPT) in different solar irradiation is simulated in MATLAB/Simulink. From simulation it is observed that QBC has high voltage conversion ratio & less oscillation in transient state compared to Boost converter.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"475 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131989415","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 : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9009356
V. Anand, Ankit P. Navik
Internet of Things (IoT) is seen as one of the advance paradigm in widespread applications, and also in upcoming generations of information and communication technologies (ICT) with numerous devices from handheld to smart bill board (public displays). The use of expressing one’s view in pictorial way has increased drastically. Currently, there are numerous application where text in video plane plays vital trivial role along with other content. However, sometimes even though size of characters in video plane needs modification in or zoom out), It cannot be done due to lack of technique so. We propose a novel to do (Zoom in mechanism to modify text sizes or Zoom out) in streamed/real time video. There are several zooming techniques available but use of them would potentially affect visual experience (Zoom in would result in loss of content and Zoom outwould in degradation in video quality). Proposed solution uses k-NN algorithm (Optical Character Recognition based algorithm) to find coordinates of area which contains characters in video plane and this coordinates can be used to create texture out of video plane to perform zoom in or out operations.
物联网(IoT)被视为广泛应用的先进范例之一，也是即将到来的信息和通信技术(ICT)的众多设备，从手持设备到智能广告牌(公共显示器)。用图画的方式表达观点的用法急剧增加。目前，视频平面中的文本与其他内容一起起着至关重要的作用。然而，有时即使视频平面上的字符大小需要修改(或缩小)，但由于缺乏技术而无法完成。我们提出了一种新颖的方法(放大机制来修改文本大小或缩小)在流/实时视频。有几种可用的缩放技术，但使用它们可能会影响视觉体验(放大会导致内容丢失，放大会降低视频质量)。该方案利用基于光学字符识别的k-NN算法(Optical Character Recognition based algorithm)找到视频平面中包含字符的区域的坐标，并利用该坐标在视频平面外创建纹理以进行放大或缩小操作。
{"title":"Optical Character Recognition based Zooming","authors":"V. Anand, Ankit P. Navik","doi":"10.1109/ICRIEECE44171.2018.9009356","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9009356","url":null,"abstract":"Internet of Things (IoT) is seen as one of the advance paradigm in widespread applications, and also in upcoming generations of information and communication technologies (ICT) with numerous devices from handheld to smart bill board (public displays). The use of expressing one’s view in pictorial way has increased drastically. Currently, there are numerous application where text in video plane plays vital trivial role along with other content. However, sometimes even though size of characters in video plane needs modification in or zoom out), It cannot be done due to lack of technique so. We propose a novel to do (Zoom in mechanism to modify text sizes or Zoom out) in streamed/real time video. There are several zooming techniques available but use of them would potentially affect visual experience (Zoom in would result in loss of content and Zoom outwould in degradation in video quality). Proposed solution uses k-NN algorithm (Optical Character Recognition based algorithm) to find coordinates of area which contains characters in video plane and this coordinates can be used to create texture out of video plane to perform zoom in or out operations.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131998482","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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