Pub Date : 2011-10-10DOI: 10.1109/ICIINFS.2011.6038036
I. Nawinne, M. Wickramasinghe, R. Ragel, S. Radhakrishnan
Processing data received as a stream is a task commonly performed by modern embedded devices, in a wide range of applications such as multimedia (encoding/decoding/ playing media), networking (switching and routing), digital security, scientific data processing, etc. Such processing normally tends to be calculation intensive and therefore requiring significant processing power. Therefore, hardware acceleration methods to increase the performance of such applications constitute an important area of study. In this paper, we present an evaluation of one such method to process streaming data, namely multi-processor pipeline architecture. The hardware is based on a Multiple-Processor System on Chip (MPSoC), using a data encryption algorithm as a case study. The algorithm is partitioned on a coarse grained level and mapped on to an MPSoC with five processor cores in a pipeline, using specifically configured Xtensa LX3 cores. The system is then selectively optimized by strengthening and pruning the resources of each processor core. The optimized system is evaluated and compared against an optimal single-processor System on Chip (SoC) for the same application. The multiple-processor pipeline system for data encryption algorithms used was observed to provide significant speed ups, up to 4.45 times that of the single-processor system, which is close to the ideal speed up from a five-stage pipeline.
{"title":"Heterogeneous processor pipeline for a product cipher application","authors":"I. Nawinne, M. Wickramasinghe, R. Ragel, S. Radhakrishnan","doi":"10.1109/ICIINFS.2011.6038036","DOIUrl":"https://doi.org/10.1109/ICIINFS.2011.6038036","url":null,"abstract":"Processing data received as a stream is a task commonly performed by modern embedded devices, in a wide range of applications such as multimedia (encoding/decoding/ playing media), networking (switching and routing), digital security, scientific data processing, etc. Such processing normally tends to be calculation intensive and therefore requiring significant processing power. Therefore, hardware acceleration methods to increase the performance of such applications constitute an important area of study. In this paper, we present an evaluation of one such method to process streaming data, namely multi-processor pipeline architecture. The hardware is based on a Multiple-Processor System on Chip (MPSoC), using a data encryption algorithm as a case study. The algorithm is partitioned on a coarse grained level and mapped on to an MPSoC with five processor cores in a pipeline, using specifically configured Xtensa LX3 cores. The system is then selectively optimized by strengthening and pruning the resources of each processor core. The optimized system is evaluated and compared against an optimal single-processor System on Chip (SoC) for the same application. The multiple-processor pipeline system for data encryption algorithms used was observed to provide significant speed ups, up to 4.45 times that of the single-processor system, which is close to the ideal speed up from a five-stage pipeline.","PeriodicalId":353966,"journal":{"name":"2011 6th International Conference on Industrial and Information Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132803328","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 : 2011-10-10DOI: 10.1109/ICIINFS.2011.6038079
R. Samaga, K. Vittal
dq components of currents are extensively used in the controller applications of industrial drives as they are dc quantities. In this paper, it is shown that these components will no longer remain as dc quantities, if they are extracted from the induction motor suffering from mixed air gap eccentricity. A dynamic model of an induction motor suffering from mixed air gap eccentricity is developed and simulated to show the presence of eccentricity characteristic harmonics in dq components of the stator currents in synchronous reference frame. In this paper, it is also shown that the frequency analysis of dq currents helps in the detection of air gap non uniformity in the machine. The results obtained by modeling and simulation are also validated experimentally.
{"title":"Investigation into effect of mixed air gap eccentricity on dq components of currents in induction motor","authors":"R. Samaga, K. Vittal","doi":"10.1109/ICIINFS.2011.6038079","DOIUrl":"https://doi.org/10.1109/ICIINFS.2011.6038079","url":null,"abstract":"dq components of currents are extensively used in the controller applications of industrial drives as they are dc quantities. In this paper, it is shown that these components will no longer remain as dc quantities, if they are extracted from the induction motor suffering from mixed air gap eccentricity. A dynamic model of an induction motor suffering from mixed air gap eccentricity is developed and simulated to show the presence of eccentricity characteristic harmonics in dq components of the stator currents in synchronous reference frame. In this paper, it is also shown that the frequency analysis of dq currents helps in the detection of air gap non uniformity in the machine. The results obtained by modeling and simulation are also validated experimentally.","PeriodicalId":353966,"journal":{"name":"2011 6th International Conference on Industrial and Information Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122383797","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 : 2011-10-10DOI: 10.1109/ICIINFS.2011.6038073
R. Ranaweera, Minseok Kwon, Shuowen Hu, G. Tamer, T. Talavage
Imaging acoustic noise (IAN) is a confounding factor that undermines the usefulness of functional magnetic resonance imaging (fMRI), especially in auditory related experiments. This paper presents the methods and results of measuring auditory hemodynamic responses (HDR) due to different temporal patterns of IAN using fMRI. Six different temporal patterns of IAN corresponding to acoustic noise generated while using different numbers of imaging slices and effective repetition times (TR) were used as stimuli in the current study. Hemodynamic responses were measured using a stroboscopic event related paradigm with extra long TRs to minimize the effects due to previous IAN segments. The shape of the HDR and the extent of activation due to each of the above stimuli are reported here and are in agreement with those reported in previous studies. In addition to the responses due to IAN patterns reported in previous studies, responses to several new temporal patterns are also reported here. The results of this study will be used in developing a model-based correction algorithm to account for IAN in auditory fMRI.
{"title":"Measurement of auditory hemodynamic response function due to different temporal patterns of imaging acoustic noise using functional magnetic resonance imaging","authors":"R. Ranaweera, Minseok Kwon, Shuowen Hu, G. Tamer, T. Talavage","doi":"10.1109/ICIINFS.2011.6038073","DOIUrl":"https://doi.org/10.1109/ICIINFS.2011.6038073","url":null,"abstract":"Imaging acoustic noise (IAN) is a confounding factor that undermines the usefulness of functional magnetic resonance imaging (fMRI), especially in auditory related experiments. This paper presents the methods and results of measuring auditory hemodynamic responses (HDR) due to different temporal patterns of IAN using fMRI. Six different temporal patterns of IAN corresponding to acoustic noise generated while using different numbers of imaging slices and effective repetition times (TR) were used as stimuli in the current study. Hemodynamic responses were measured using a stroboscopic event related paradigm with extra long TRs to minimize the effects due to previous IAN segments. The shape of the HDR and the extent of activation due to each of the above stimuli are reported here and are in agreement with those reported in previous studies. In addition to the responses due to IAN patterns reported in previous studies, responses to several new temporal patterns are also reported here. The results of this study will be used in developing a model-based correction algorithm to account for IAN in auditory fMRI.","PeriodicalId":353966,"journal":{"name":"2011 6th International Conference on Industrial and Information Systems","volume":"66 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120841655","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 : 2011-10-10DOI: 10.1109/ICIINFS.2011.6038035
K. Narampanawe, C. Divarathne, J. Wijayakulasooriya, J. Kumara
Presently, Ultra Wide Band (UWB) radio technology has attracted much interest in academics, industrial and standardization (IEEE) activities. UWB characterizes transmission systems with instantaneous spectral occupancy of higher bandwidth or higher fractional bandwidth. The antenna is probably the most overlooked part of a RF (Radio Frequency) design. The range, performance, and legality of a RF link are critically dependent upon the antenna. During this work, the UHF (Ultra High Frequency) TV Band is specifically addressed which is a target band of IEEE802.22 standardization. The UHF TV band is 336MHz wider according to CCIR (Consultative Committee on International Radio) standards. One major challenge in designing a UWB antenna for UHF band is limiting the physical size of the antenna. The paper illustrates the successful design, implementation and testing of a UWB antenna for cognitive radios in the UHF TV Band. The antenna is simple, low cost and compact enough to be used in fixed transceivers.
{"title":"Ultra Wideband (UWB) antenna design for cognitive radios in the UHF TV band","authors":"K. Narampanawe, C. Divarathne, J. Wijayakulasooriya, J. Kumara","doi":"10.1109/ICIINFS.2011.6038035","DOIUrl":"https://doi.org/10.1109/ICIINFS.2011.6038035","url":null,"abstract":"Presently, Ultra Wide Band (UWB) radio technology has attracted much interest in academics, industrial and standardization (IEEE) activities. UWB characterizes transmission systems with instantaneous spectral occupancy of higher bandwidth or higher fractional bandwidth. The antenna is probably the most overlooked part of a RF (Radio Frequency) design. The range, performance, and legality of a RF link are critically dependent upon the antenna. During this work, the UHF (Ultra High Frequency) TV Band is specifically addressed which is a target band of IEEE802.22 standardization. The UHF TV band is 336MHz wider according to CCIR (Consultative Committee on International Radio) standards. One major challenge in designing a UWB antenna for UHF band is limiting the physical size of the antenna. The paper illustrates the successful design, implementation and testing of a UWB antenna for cognitive radios in the UHF TV Band. The antenna is simple, low cost and compact enough to be used in fixed transceivers.","PeriodicalId":353966,"journal":{"name":"2011 6th International Conference on Industrial and Information Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123730317","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 : 2011-10-10DOI: 10.1109/ICIINFS.2011.6038087
N. Singh, M. Tripathy, Ashutosh Kumar Singh
In 1990s, after deregulation of Australian electricity market, electricity became a commodity that can be bought and sold. This led power industry to change their planning strategies. In this planning Short Term Load Forecasting (STLF) plays a vital role to provide unit commitment, economic generation scheduling etc. In this paper, RBF neural network (RBFNN) is applied as short term load as well as price forecaster. While modeling process, day-type (Sunday, Monday, etc.) is considered as an extra input to the neural network. The prediction performance of proposed RBFNN architecture is evaluated using Mean of Mean Absolute Percentage Error (MMAPE) between actual data and forecasted data of New South Wales (Australia). The results obtained are compared with the results gained from classical moving average (MA), Holt-Winters and Feed Forward Neural Network (FFNN) methods. It is, in general, observed that the RBFNN is more accurate and works better with inclusion of day type input parameters.
{"title":"A radial basis function neural network approach for multi-hour short term load-price forecasting with type of day parameter","authors":"N. Singh, M. Tripathy, Ashutosh Kumar Singh","doi":"10.1109/ICIINFS.2011.6038087","DOIUrl":"https://doi.org/10.1109/ICIINFS.2011.6038087","url":null,"abstract":"In 1990s, after deregulation of Australian electricity market, electricity became a commodity that can be bought and sold. This led power industry to change their planning strategies. In this planning Short Term Load Forecasting (STLF) plays a vital role to provide unit commitment, economic generation scheduling etc. In this paper, RBF neural network (RBFNN) is applied as short term load as well as price forecaster. While modeling process, day-type (Sunday, Monday, etc.) is considered as an extra input to the neural network. The prediction performance of proposed RBFNN architecture is evaluated using Mean of Mean Absolute Percentage Error (MMAPE) between actual data and forecasted data of New South Wales (Australia). The results obtained are compared with the results gained from classical moving average (MA), Holt-Winters and Feed Forward Neural Network (FFNN) methods. It is, in general, observed that the RBFNN is more accurate and works better with inclusion of day type input parameters.","PeriodicalId":353966,"journal":{"name":"2011 6th International Conference on Industrial and Information Systems","volume":"280 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114377065","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 : 2011-10-10DOI: 10.1109/ICIINFS.2011.6038041
D. K. D. Madubashitha, W. M. S. S Wijesinghe, K. A. S. R Kamaladiwela, M. G. P Ranaweera, J. Wijekoon, P. K. W Abeygunawardhana
This paper examines the possibility of introducing an intelligent routing protocol to the Internet, based on the Cognitive Packet Network (CPN) architecture with respect to the Quality of Service (QoS) delivered to the end users. In the present with increasing populations of countries it is clear that present infrastructure does not hold the sufficient capacity to deliver the expected level of service to the end users. Since there is an eminent need for a solution for improving the QoS in the Internet, this research focuses to provide a new network architecture which would improve the QoS, provide reliable and efficient service which can fulfill the ever growing Internet usage demand. This is achieved through a new network architecture known as CPN which is based on the basis of providing the best and user desired QoS. The main underlying technology behind the CPN will be a neural network. The neural network will be learning the changes in the network and adapt to the situation through the knowledge gathered. The packets will collectively learn about the network thus the load on the routers will be minimized. This mechanism completely replaces the need of a routing table thus making routing far more efficient when comparing to current routing protocols like Open Shortest Path First (OSPF). Final outcome of the research is coming to the conclusion that the future of the Internet is with the neural network based intelligent, dynamically adapting and learning CPN infrastructure instead of current packet switched network.
{"title":"An adaptive routing algorithm for Cognitive Packet Network infrastructure based on neural networks","authors":"D. K. D. Madubashitha, W. M. S. S Wijesinghe, K. A. S. R Kamaladiwela, M. G. P Ranaweera, J. Wijekoon, P. K. W Abeygunawardhana","doi":"10.1109/ICIINFS.2011.6038041","DOIUrl":"https://doi.org/10.1109/ICIINFS.2011.6038041","url":null,"abstract":"This paper examines the possibility of introducing an intelligent routing protocol to the Internet, based on the Cognitive Packet Network (CPN) architecture with respect to the Quality of Service (QoS) delivered to the end users. In the present with increasing populations of countries it is clear that present infrastructure does not hold the sufficient capacity to deliver the expected level of service to the end users. Since there is an eminent need for a solution for improving the QoS in the Internet, this research focuses to provide a new network architecture which would improve the QoS, provide reliable and efficient service which can fulfill the ever growing Internet usage demand. This is achieved through a new network architecture known as CPN which is based on the basis of providing the best and user desired QoS. The main underlying technology behind the CPN will be a neural network. The neural network will be learning the changes in the network and adapt to the situation through the knowledge gathered. The packets will collectively learn about the network thus the load on the routers will be minimized. This mechanism completely replaces the need of a routing table thus making routing far more efficient when comparing to current routing protocols like Open Shortest Path First (OSPF). Final outcome of the research is coming to the conclusion that the future of the Internet is with the neural network based intelligent, dynamically adapting and learning CPN infrastructure instead of current packet switched network.","PeriodicalId":353966,"journal":{"name":"2011 6th International Conference on Industrial and Information Systems","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132787248","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 : 2011-10-10DOI: 10.1109/ICIINFS.2011.6038054
P. Jayathilake
Software log file analysis helps immensely in software testing and troubleshooting. The first step in automated log file analysis is extracting log data. This requires decoding the log file syntax and interpreting data semantics. The expected output of this phase is an organization of the extracted data for further processing. Log data extractors can be developed using popular programming languages targeting one or few log file formats. Rather than repeating this process for each log file format, it is desirable to have a generic scheme for interpreting elements of a log file and filling a data structure suitable for further processing. The new log data extraction scheme introduced in this paper is an attempt to provide the advanced features demanded by modern log file analysis procedures. It is a generic scheme which is capable of handling both text and binary log files with complex structures and difficult syntax. Its output is a tree filled with the information of interest for the particular case.
{"title":"A novel mind map based approach for log data extraction","authors":"P. Jayathilake","doi":"10.1109/ICIINFS.2011.6038054","DOIUrl":"https://doi.org/10.1109/ICIINFS.2011.6038054","url":null,"abstract":"Software log file analysis helps immensely in software testing and troubleshooting. The first step in automated log file analysis is extracting log data. This requires decoding the log file syntax and interpreting data semantics. The expected output of this phase is an organization of the extracted data for further processing. Log data extractors can be developed using popular programming languages targeting one or few log file formats. Rather than repeating this process for each log file format, it is desirable to have a generic scheme for interpreting elements of a log file and filling a data structure suitable for further processing. The new log data extraction scheme introduced in this paper is an attempt to provide the advanced features demanded by modern log file analysis procedures. It is a generic scheme which is capable of handling both text and binary log files with complex structures and difficult syntax. Its output is a tree filled with the information of interest for the particular case.","PeriodicalId":353966,"journal":{"name":"2011 6th International Conference on Industrial and Information Systems","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131583184","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 : 2011-10-10DOI: 10.1109/ICIINFS.2011.6038107
S. Arunprasanth, H. M. N. D. Palapathwela, U. M. Amarasekara, V. R. Herath
This paper compares the performance of optical receivers that use phase shift keying (PSK) and low pass filtering techniques. The filtering techniques that are discussed in this paper are Average filtering, Viterbi & Viterbi algorithm and Weighted Viterbi & Viterbi algorithm. Step-by-step implementation of the optical transmission system with AWGN and linear phase noise is discussed. Low pass filtering is done by obtaining the sum of most recent (2N+1) samples with suitable coefficients, where N is the Filter Width of the low pass filter. The suitability of the QPSK modulation scheme is observed by comparing QPSK modulation scheme with BPSK modulation scheme and 8-PSK modulation scheme.
{"title":"Performance comparison of optical receivers using different filtering algorithms and modulation schemes","authors":"S. Arunprasanth, H. M. N. D. Palapathwela, U. M. Amarasekara, V. R. Herath","doi":"10.1109/ICIINFS.2011.6038107","DOIUrl":"https://doi.org/10.1109/ICIINFS.2011.6038107","url":null,"abstract":"This paper compares the performance of optical receivers that use phase shift keying (PSK) and low pass filtering techniques. The filtering techniques that are discussed in this paper are Average filtering, Viterbi & Viterbi algorithm and Weighted Viterbi & Viterbi algorithm. Step-by-step implementation of the optical transmission system with AWGN and linear phase noise is discussed. Low pass filtering is done by obtaining the sum of most recent (2N+1) samples with suitable coefficients, where N is the Filter Width of the low pass filter. The suitability of the QPSK modulation scheme is observed by comparing QPSK modulation scheme with BPSK modulation scheme and 8-PSK modulation scheme.","PeriodicalId":353966,"journal":{"name":"2011 6th International Conference on Industrial and Information Systems","volume":"706 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114306628","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 : 2011-10-10DOI: 10.1109/ICIINFS.2011.6038119
G. Illeperuma, Upul J. Sonnadara
A simulation and a pilot scale implementation of a vision based robot navigation system was carried out to determine the feasibility and the efficiency of using optical flow based algorithms in autonomous robot navigation. For the simulation work, VRML 97 was used to create the virtual world and the robot. Simulink was used to implement the algorithm and the optical flow calculations. The video stream captured through a virtual camera as seen by the robot was used to calculate the optical flow to determine the direction and the speed of the robot for the next step. A mathematical model was used to solve the problem analytically. The same algorithm was implemented and tested in real-time in a controlled environment. Data gathered through the simulation and the actual implementation showed that it is possible to use optical flow based algorithms in robot navigation.
{"title":"An autonomous robot navigation system based on optical flow","authors":"G. Illeperuma, Upul J. Sonnadara","doi":"10.1109/ICIINFS.2011.6038119","DOIUrl":"https://doi.org/10.1109/ICIINFS.2011.6038119","url":null,"abstract":"A simulation and a pilot scale implementation of a vision based robot navigation system was carried out to determine the feasibility and the efficiency of using optical flow based algorithms in autonomous robot navigation. For the simulation work, VRML 97 was used to create the virtual world and the robot. Simulink was used to implement the algorithm and the optical flow calculations. The video stream captured through a virtual camera as seen by the robot was used to calculate the optical flow to determine the direction and the speed of the robot for the next step. A mathematical model was used to solve the problem analytically. The same algorithm was implemented and tested in real-time in a controlled environment. Data gathered through the simulation and the actual implementation showed that it is possible to use optical flow based algorithms in robot navigation.","PeriodicalId":353966,"journal":{"name":"2011 6th International Conference on Industrial and Information Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115984499","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 : 2011-10-10DOI: 10.1109/ICIINFS.2011.6038129
C. Liyanagedera, U. C. Dissanayake, K. T. D. D. N. Jayapala, S. Abeyratne, K. Rathnayake
Simulation of a maximum power point tracking (MPPT) algorithm prior to implementation is useful in avoiding unnecessary prototyping, fabricating and testing costs. Also upon implementation of the actual hardware system, performance monitoring and recording of the system behavior is of importance. The data manipulated above is useful in energy management and saving applications. To full fill the above requirements and to demonstrate it, a system hardware and software is designed in the research. The proposed user-software provides a gateway to real time monitoring of a prototype MPPT converter performance. Additionally, through the proposed user software, obtaining datasets to model a solar cell of interest for more accurate simulation on a given algorithm is made possible. Also it is demonstrated that the software and the prototype system together help monitoring and validating the performance of a solar panel based system.
{"title":"Simulation and fabrication of a maximum power point tracker monitoring and validating system","authors":"C. Liyanagedera, U. C. Dissanayake, K. T. D. D. N. Jayapala, S. Abeyratne, K. Rathnayake","doi":"10.1109/ICIINFS.2011.6038129","DOIUrl":"https://doi.org/10.1109/ICIINFS.2011.6038129","url":null,"abstract":"Simulation of a maximum power point tracking (MPPT) algorithm prior to implementation is useful in avoiding unnecessary prototyping, fabricating and testing costs. Also upon implementation of the actual hardware system, performance monitoring and recording of the system behavior is of importance. The data manipulated above is useful in energy management and saving applications. To full fill the above requirements and to demonstrate it, a system hardware and software is designed in the research. The proposed user-software provides a gateway to real time monitoring of a prototype MPPT converter performance. Additionally, through the proposed user software, obtaining datasets to model a solar cell of interest for more accurate simulation on a given algorithm is made possible. Also it is demonstrated that the software and the prototype system together help monitoring and validating the performance of a solar panel based system.","PeriodicalId":353966,"journal":{"name":"2011 6th International Conference on Industrial and Information Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129552965","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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