Pub Date : 1900-01-01DOI: 10.1109/CIEC.2016.7513752
A. Mitra, P. Bhowmik, S. Chowdhuri
This work investigates the performance of an Active Front-End (AFE) Rectifier with direct and quadrature axis current control method. Most of the research works describe that the controller for an AFE Rectifier requires three Proportional-Integral (PI) controllers to regulate DC voltage, d-axis and q-axis current. Normally, the outer loop for DC voltage control requires high gain value to stabilize the DC voltage and the inner loop for current control requires low gain values to regulate the current. In this proposed work, due to lower gain of the inner current loop, the PI controllers for that specific loop has been omitted to deal with the easy control of the controller.
{"title":"Performance analysis of a three-phase Active Front-End PWM Rectifier without current loop PI controller","authors":"A. Mitra, P. Bhowmik, S. Chowdhuri","doi":"10.1109/CIEC.2016.7513752","DOIUrl":"https://doi.org/10.1109/CIEC.2016.7513752","url":null,"abstract":"This work investigates the performance of an Active Front-End (AFE) Rectifier with direct and quadrature axis current control method. Most of the research works describe that the controller for an AFE Rectifier requires three Proportional-Integral (PI) controllers to regulate DC voltage, d-axis and q-axis current. Normally, the outer loop for DC voltage control requires high gain value to stabilize the DC voltage and the inner loop for current control requires low gain values to regulate the current. In this proposed work, due to lower gain of the inner current loop, the PI controllers for that specific loop has been omitted to deal with the easy control of the controller.","PeriodicalId":443343,"journal":{"name":"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125007386","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/CIEC.2016.7513834
D. Saha, A. Datta, B. K. Roy, P. Das
Directional over current relays (DOCRs) are the soul devices to protect any interconnected power system. Proper coordination of primary and adjacent protective relays along with minimum operating time is the desirable feature of these relays. To achieve this, selection of the optimum values of relay settings, mainly time dial setting (TDS) and plug setting (PS) is very much necessary. In this paper optimization of relay settings are done by Teaching Learning Based Optimization technique (TLBO), an efficient optimizer that mimics the classroom environment. Optimal coordination is verified by simulation in Western System Coordinating Council (WSCC) 9-bus system and compared with another popular optimization technique with satisfactory results. Results represent notable reduction in total relays' operating time and coordination time interval (CTI) in comparison with other techniques.
{"title":"Optimal coordination of DOCR in interconnected power systems","authors":"D. Saha, A. Datta, B. K. Roy, P. Das","doi":"10.1109/CIEC.2016.7513834","DOIUrl":"https://doi.org/10.1109/CIEC.2016.7513834","url":null,"abstract":"Directional over current relays (DOCRs) are the soul devices to protect any interconnected power system. Proper coordination of primary and adjacent protective relays along with minimum operating time is the desirable feature of these relays. To achieve this, selection of the optimum values of relay settings, mainly time dial setting (TDS) and plug setting (PS) is very much necessary. In this paper optimization of relay settings are done by Teaching Learning Based Optimization technique (TLBO), an efficient optimizer that mimics the classroom environment. Optimal coordination is verified by simulation in Western System Coordinating Council (WSCC) 9-bus system and compared with another popular optimization technique with satisfactory results. Results represent notable reduction in total relays' operating time and coordination time interval (CTI) in comparison with other techniques.","PeriodicalId":443343,"journal":{"name":"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121908289","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/CIEC.2016.7513827
Ardhendu Shekher Biswas, Subhankar Bhattacharjee, S. Sil, M. Mitra, R. Bera
In this paper, by modifying traditional convolution coder and maximum likelihood decoder based on trellis decoding, a very power efficient coder and decoder is proposed which is compatible for wireless communication system. The hardware implementation of the modified convolution coder and corresponding maximum likelihood decoder is very simple which minimizes complex circuit involvement thus reducing overall power consumption drastically. The coder and decoder design is based on Agilent Technologies `System Vue' EDA tools and the hardware implementation is on Xilinx Spartarn-6 FPGA board. In this coding technique transmitted codes are chosen selectively from the set of all possible codes generated for constraint length= 9 to increase the hamming distance between the codes which helps to decrease BER. The Coder and Decoder blocks are tested both in simulation and hardware environment by feeding baseband and coded data. The simulation result obtained is very encouraging. Perfect decoding of the baseband data are obtained with very low BER, low Power and low latency.
{"title":"Evaluation of power efficient modified convolution coder and maximum likelihood decoder for wireless communication systems","authors":"Ardhendu Shekher Biswas, Subhankar Bhattacharjee, S. Sil, M. Mitra, R. Bera","doi":"10.1109/CIEC.2016.7513827","DOIUrl":"https://doi.org/10.1109/CIEC.2016.7513827","url":null,"abstract":"In this paper, by modifying traditional convolution coder and maximum likelihood decoder based on trellis decoding, a very power efficient coder and decoder is proposed which is compatible for wireless communication system. The hardware implementation of the modified convolution coder and corresponding maximum likelihood decoder is very simple which minimizes complex circuit involvement thus reducing overall power consumption drastically. The coder and decoder design is based on Agilent Technologies `System Vue' EDA tools and the hardware implementation is on Xilinx Spartarn-6 FPGA board. In this coding technique transmitted codes are chosen selectively from the set of all possible codes generated for constraint length= 9 to increase the hamming distance between the codes which helps to decrease BER. The Coder and Decoder blocks are tested both in simulation and hardware environment by feeding baseband and coded data. The simulation result obtained is very encouraging. Perfect decoding of the baseband data are obtained with very low BER, low Power and low latency.","PeriodicalId":443343,"journal":{"name":"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126994149","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/CIEC.2016.7513755
Arnab Ghosh, Madhavi Lata, G. Konar, N. Chakraborty
Wireless Sensor Networks have highly been in demand in the recent times for monitoring and controlling purposes. Low cost, low power and simpler architecture involving the wireless sensor modules have made them quite an acceptable tool for data monitoring. But interference has been the major area of concern in WSN which often leads to data loss during data monitoring and have immense ill-effects in controlling of the processes. A large number of wireless nodes communicating in the same frequency range results in signal crossovers. On the other hand, use of less number of routers reduces the system reliability because failure of a single router may cut out communication with a particular sensor. Hence, number of routers used in the network needs to be optimized subject to the constraint that each router should be capable of handling data from multiple tags. In this work, Cultural Algorithm has been employed in a model area consisting of 40 sensors to calculate the optimum number of routers required for efficient performance of the entire network. The results obtained ensure a less interfered and highly reliable network with all the sensor data being collected.
{"title":"Optimised use of nodes in Wireless Sensor Network: A novel approach to overcome the effect of interference","authors":"Arnab Ghosh, Madhavi Lata, G. Konar, N. Chakraborty","doi":"10.1109/CIEC.2016.7513755","DOIUrl":"https://doi.org/10.1109/CIEC.2016.7513755","url":null,"abstract":"Wireless Sensor Networks have highly been in demand in the recent times for monitoring and controlling purposes. Low cost, low power and simpler architecture involving the wireless sensor modules have made them quite an acceptable tool for data monitoring. But interference has been the major area of concern in WSN which often leads to data loss during data monitoring and have immense ill-effects in controlling of the processes. A large number of wireless nodes communicating in the same frequency range results in signal crossovers. On the other hand, use of less number of routers reduces the system reliability because failure of a single router may cut out communication with a particular sensor. Hence, number of routers used in the network needs to be optimized subject to the constraint that each router should be capable of handling data from multiple tags. In this work, Cultural Algorithm has been employed in a model area consisting of 40 sensors to calculate the optimum number of routers required for efficient performance of the entire network. The results obtained ensure a less interfered and highly reliable network with all the sensor data being collected.","PeriodicalId":443343,"journal":{"name":"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115947376","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/CIEC.2016.7513734
Debasish Mondal, A. Halder
In this paper a nonlinear controller has been designed for Static Synchronous Compensator (STATCOM) in order to improve transient stability of a power system. The nonlinear model of the power system is exactly linearized via state feedback linearization technique. The optimal gain constants of the nonlinear controller are determined applying a special class of non-cooperative dynamic game theory. The performance of this proposed nonlinear STATCOM controller is compared with a fixed structure lead-lag based conventional STATCOM controller. The set of tuning parameters of the conventional controller are optimized through heuristic optimization technique, Genetic Algorithm (GA). The performance of both nonlinear and the conventional controllers are validated with application of a typical transient disturbance to a SMIB test power system. It has been revealed that the proposed nonlinear controller is more effective in the face of contingency in comparison to the GA based controller.
{"title":"Nonlinear optimal STATCOM controller based on game theory to improve transient stability","authors":"Debasish Mondal, A. Halder","doi":"10.1109/CIEC.2016.7513734","DOIUrl":"https://doi.org/10.1109/CIEC.2016.7513734","url":null,"abstract":"In this paper a nonlinear controller has been designed for Static Synchronous Compensator (STATCOM) in order to improve transient stability of a power system. The nonlinear model of the power system is exactly linearized via state feedback linearization technique. The optimal gain constants of the nonlinear controller are determined applying a special class of non-cooperative dynamic game theory. The performance of this proposed nonlinear STATCOM controller is compared with a fixed structure lead-lag based conventional STATCOM controller. The set of tuning parameters of the conventional controller are optimized through heuristic optimization technique, Genetic Algorithm (GA). The performance of both nonlinear and the conventional controllers are validated with application of a typical transient disturbance to a SMIB test power system. It has been revealed that the proposed nonlinear controller is more effective in the face of contingency in comparison to the GA based controller.","PeriodicalId":443343,"journal":{"name":"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123201122","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/CIEC.2016.7513790
S. Rani, Subhajit Roy, Kuntal Bhattacharjee, A. Bhattacharya
This paper presents a modern technique called teaching learning based algorithm (TLBO) to solve a multi objective of the economic and emission load dispatch (EELD) problem. The emission of pollutants such as NOx, power demand equality constraint and operating limit constraint are considered here. A recently developed population based evolutionary algorithm TLBO has been implemented to search for the optimum solution. TLBO uses two different phases `Teacher Phase' and `Learner Phase'. TLBO uses the mean value of the population to update the solution. The operation of TLBO is simpler compared to other optimization techniques due to absence of parameters to be tuned. Therefore, in the present paper Teaching-Learning-Based Optimization (TLBO) is tested on IEEE 30-bus 6 generator system and 10 generator system efficiently and effectively in order to achieve superior quality solution in computationally robust way. Simulation results show that the performance of proposed approach is superior compared to several already existing optimization techniques.
{"title":"Teaching learning based optimization to solve economic and emission scheduling problems","authors":"S. Rani, Subhajit Roy, Kuntal Bhattacharjee, A. Bhattacharya","doi":"10.1109/CIEC.2016.7513790","DOIUrl":"https://doi.org/10.1109/CIEC.2016.7513790","url":null,"abstract":"This paper presents a modern technique called teaching learning based algorithm (TLBO) to solve a multi objective of the economic and emission load dispatch (EELD) problem. The emission of pollutants such as NOx, power demand equality constraint and operating limit constraint are considered here. A recently developed population based evolutionary algorithm TLBO has been implemented to search for the optimum solution. TLBO uses two different phases `Teacher Phase' and `Learner Phase'. TLBO uses the mean value of the population to update the solution. The operation of TLBO is simpler compared to other optimization techniques due to absence of parameters to be tuned. Therefore, in the present paper Teaching-Learning-Based Optimization (TLBO) is tested on IEEE 30-bus 6 generator system and 10 generator system efficiently and effectively in order to achieve superior quality solution in computationally robust way. Simulation results show that the performance of proposed approach is superior compared to several already existing optimization techniques.","PeriodicalId":443343,"journal":{"name":"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124815247","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/CIEC.2016.7513757
Somnath Mondal, S. Sardar, K. A. Babu
This work aims to design and implement Quadrature Phase Shift Keying (QPSK) baseband modulation-demodulation (MODEM) system on the CEVA-XC321 fixed point digital signal processor (DSP) and to compare its performance with industry standard DSP processors and FPGA based implementations. The modem function was developed in Vec-C language by utilizing two Vector Computation Units (VCU) of CEVA and verified on CEVA-XC321 based emulation platform. The implementation of the modem functions includes sampling, NRZ encoding, QPSK modulation, data packet formation using payload and packet header, receiver matched filtering, QPSK demodulation and decision device. We have considered additive white Gaussian Noise (AWGN) channel to analyze the effect of the channel on the transmitted data packet. The implementation results and the theoretical results are consistent and ascertained the correctness of this design. The modem parameters are selected in accordance with IEEE 802.11b Wi-Fi standard. We have tested the QPSK modem implementation in conformance to 802.11b Wi-Fi performance metrics and established its applicability in Wi-Fi phone system. The results showed that the proposed DSP based QPSK implementation can greatly improve the performance efficiency with less development time and cost for high data rate wireless local area network (WLAN) applications.
{"title":"QPSK modulation and demodulation implementation on CEVA XC-321 DSP for IEEE 802.11b Wi-Fi phone application","authors":"Somnath Mondal, S. Sardar, K. A. Babu","doi":"10.1109/CIEC.2016.7513757","DOIUrl":"https://doi.org/10.1109/CIEC.2016.7513757","url":null,"abstract":"This work aims to design and implement Quadrature Phase Shift Keying (QPSK) baseband modulation-demodulation (MODEM) system on the CEVA-XC321 fixed point digital signal processor (DSP) and to compare its performance with industry standard DSP processors and FPGA based implementations. The modem function was developed in Vec-C language by utilizing two Vector Computation Units (VCU) of CEVA and verified on CEVA-XC321 based emulation platform. The implementation of the modem functions includes sampling, NRZ encoding, QPSK modulation, data packet formation using payload and packet header, receiver matched filtering, QPSK demodulation and decision device. We have considered additive white Gaussian Noise (AWGN) channel to analyze the effect of the channel on the transmitted data packet. The implementation results and the theoretical results are consistent and ascertained the correctness of this design. The modem parameters are selected in accordance with IEEE 802.11b Wi-Fi standard. We have tested the QPSK modem implementation in conformance to 802.11b Wi-Fi performance metrics and established its applicability in Wi-Fi phone system. The results showed that the proposed DSP based QPSK implementation can greatly improve the performance efficiency with less development time and cost for high data rate wireless local area network (WLAN) applications.","PeriodicalId":443343,"journal":{"name":"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124832637","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/CIEC.2016.7513796
Parikshit Kr Paul, C. Dey, R. Mudi
This paper describes the performance of PID controllers based on internal model control (IMC) technique for two input and two output (TITO) process with dead time. Centralized inverted decouplers are intended to minimize the interactions between the loops. With appropriate choice of decoupler each decoupled subsystem seems to be first order plus dead time (FOPDT) process in nature. Two separate IMC-PID controllers are designed for each decoupled subsystem. An overall improved response is found from both the loops by using first order filter and suitable choice of close-loop time constant. Performance based comparison with other IMC technique substantiates the competence of the proposed method.
{"title":"Design of multi-loop IMC-PID controller for TITO process with dead time","authors":"Parikshit Kr Paul, C. Dey, R. Mudi","doi":"10.1109/CIEC.2016.7513796","DOIUrl":"https://doi.org/10.1109/CIEC.2016.7513796","url":null,"abstract":"This paper describes the performance of PID controllers based on internal model control (IMC) technique for two input and two output (TITO) process with dead time. Centralized inverted decouplers are intended to minimize the interactions between the loops. With appropriate choice of decoupler each decoupled subsystem seems to be first order plus dead time (FOPDT) process in nature. Two separate IMC-PID controllers are designed for each decoupled subsystem. An overall improved response is found from both the loops by using first order filter and suitable choice of close-loop time constant. Performance based comparison with other IMC technique substantiates the competence of the proposed method.","PeriodicalId":443343,"journal":{"name":"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131303059","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/CIEC.2016.7513672
Reshma Kar, Pratyusha Das, A. Konar, Aruna Chakraborty
Support Vector Machines are widely accepted in the field of pattern recognition because of their superiority in performing supervised classification. It is known that all kernel parameters may be used for classification more-or-less precisely (giving rise to vagueness) and also for the same classification problem, there are a number of kernel parameters which give the best accuracy (giving rise to uncertainty). Hence, an appropriate scheme of representing best suited kernel parameters for a given classification problem requires an Interval-type 2 approach. In this work the authors introduce a fuzzy rule-based kernel parameter selection technique which is based on the variability (inter-class and intra-class scatter) of the dataset to be classified. A significant advantage of using the proposed fuzzy kernel parameter selection technique is that one can identify the kernel parameter which has least curvature and hence avoid over fitting. The introduced method of kernel parameter selection is tested in an emotion recognition problem by brain network analysis. Experiments undertaken indicate that selection of appropriate kernel parameters can increase accuracy up to 30%.
{"title":"Fuzzy rule enhanced support vector machines for classification of emotions from brain networks","authors":"Reshma Kar, Pratyusha Das, A. Konar, Aruna Chakraborty","doi":"10.1109/CIEC.2016.7513672","DOIUrl":"https://doi.org/10.1109/CIEC.2016.7513672","url":null,"abstract":"Support Vector Machines are widely accepted in the field of pattern recognition because of their superiority in performing supervised classification. It is known that all kernel parameters may be used for classification more-or-less precisely (giving rise to vagueness) and also for the same classification problem, there are a number of kernel parameters which give the best accuracy (giving rise to uncertainty). Hence, an appropriate scheme of representing best suited kernel parameters for a given classification problem requires an Interval-type 2 approach. In this work the authors introduce a fuzzy rule-based kernel parameter selection technique which is based on the variability (inter-class and intra-class scatter) of the dataset to be classified. A significant advantage of using the proposed fuzzy kernel parameter selection technique is that one can identify the kernel parameter which has least curvature and hence avoid over fitting. The introduced method of kernel parameter selection is tested in an emotion recognition problem by brain network analysis. Experiments undertaken indicate that selection of appropriate kernel parameters can increase accuracy up to 30%.","PeriodicalId":443343,"journal":{"name":"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126497586","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/CIEC.2016.7513816
Anil Kumar Shaw, Swanirbhar Majumder
A multiresolution singular value decomposition (MR-SVD) based watermarking algorithm is presented here. The performance of this algorithm has the advantage of human visual system (HVS) based masking on the MR-SVD domain, which has been implemented pixel by pixel. The method employed here is adaptive adding of the watermark via texture and luminance content of the subbands obtained via MR-SVD. Correlation based detection of the watermark is used in this algorithm. The threshold of detection can obtained without the knowledge of the embedded watermark energy level. This feature enhances the adaptive feature of the algorithm for changes in host image. Experimental results provided here support for the effectiveness of the algorithm.
{"title":"Multiresolution SVD and pixel-wise masking based image watermarking","authors":"Anil Kumar Shaw, Swanirbhar Majumder","doi":"10.1109/CIEC.2016.7513816","DOIUrl":"https://doi.org/10.1109/CIEC.2016.7513816","url":null,"abstract":"A multiresolution singular value decomposition (MR-SVD) based watermarking algorithm is presented here. The performance of this algorithm has the advantage of human visual system (HVS) based masking on the MR-SVD domain, which has been implemented pixel by pixel. The method employed here is adaptive adding of the watermark via texture and luminance content of the subbands obtained via MR-SVD. Correlation based detection of the watermark is used in this algorithm. The threshold of detection can obtained without the knowledge of the embedded watermark energy level. This feature enhances the adaptive feature of the algorithm for changes in host image. Experimental results provided here support for the effectiveness of the algorithm.","PeriodicalId":443343,"journal":{"name":"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134452910","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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