Pub Date : 2017-02-01DOI: 10.1109/ECACE.2017.7912937
Emrana Kabir Hashi, Md. Shahid Uz Zaman, Md. Rokibul Hasan
Currently in the healthcare industry different data mining methods are used to mine the interesting pattern of diseases using the statistical medical data with the help of different machine learning techniques. The conventional disease diagnosis system uses the perception and experience of doctor without using the complex clinical data. The proposed system assists doctor to predict disease correctly and the prediction makes patients and medical insurance providers benefited. This research focuses on to diagnosis diabetes disease as it is a great threat to human life worldwide. The system uses the Decision Tree and K-Nearest Neighbor (KNN) Algorithms as supervised classification model. Finally, the proposed system calculates and compares the accuracy of C4.5 and KNN and the experimental result demonstrates that the C4.5 provides better accuracy for diagnosis diabetes. For the clinical database, the Pima Indians Dataset is used in this research.
{"title":"An expert clinical decision support system to predict disease using classification techniques","authors":"Emrana Kabir Hashi, Md. Shahid Uz Zaman, Md. Rokibul Hasan","doi":"10.1109/ECACE.2017.7912937","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7912937","url":null,"abstract":"Currently in the healthcare industry different data mining methods are used to mine the interesting pattern of diseases using the statistical medical data with the help of different machine learning techniques. The conventional disease diagnosis system uses the perception and experience of doctor without using the complex clinical data. The proposed system assists doctor to predict disease correctly and the prediction makes patients and medical insurance providers benefited. This research focuses on to diagnosis diabetes disease as it is a great threat to human life worldwide. The system uses the Decision Tree and K-Nearest Neighbor (KNN) Algorithms as supervised classification model. Finally, the proposed system calculates and compares the accuracy of C4.5 and KNN and the experimental result demonstrates that the C4.5 provides better accuracy for diagnosis diabetes. For the clinical database, the Pima Indians Dataset is used in this research.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128191467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-02-01DOI: 10.1109/ECACE.2017.7912878
Md. Ahasan Habib, M. Anower
A novel low loss porous core photonic crystal fiber (PCF) is proposed in this paper for terahertz (THz) wave propagation. In order to investigate the guiding properties and numerical simulations, finite element method based COMSOL v4.2 software is used. Only circular air holes are used in this proposed structure so the design is easy to realize and fabricate. The numerical analysis confirms that, the proposed microstructure fiber exhibits low effective material loss of 0.063 cm−1 at 1.0 THz operating frequency. Moreover, a low confinement loss of 6.9 × 10−3 cm−1 and low bending loss of 1.07 × 10−11 cm−1 is obtained for the optimum designing condition at an operating frequency of 1.0 THz. The other guiding properties such as power fraction, effective area and dispersion are also discussed in this paper.
{"title":"A novel low loss porous-core photonic crystal fiber for terahertz wave transmission","authors":"Md. Ahasan Habib, M. Anower","doi":"10.1109/ECACE.2017.7912878","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7912878","url":null,"abstract":"A novel low loss porous core photonic crystal fiber (PCF) is proposed in this paper for terahertz (THz) wave propagation. In order to investigate the guiding properties and numerical simulations, finite element method based COMSOL v4.2 software is used. Only circular air holes are used in this proposed structure so the design is easy to realize and fabricate. The numerical analysis confirms that, the proposed microstructure fiber exhibits low effective material loss of 0.063 cm<sup>−1</sup> at 1.0 THz operating frequency. Moreover, a low confinement loss of 6.9 × 10<sup>−3</sup> cm<sup>−1</sup> and low bending loss of 1.07 × 10<sup>−11</sup> cm<sup>−1</sup> is obtained for the optimum designing condition at an operating frequency of 1.0 THz. The other guiding properties such as power fraction, effective area and dispersion are also discussed in this paper.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127487114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-02-01DOI: 10.1109/ECACE.2017.7913017
Nusrat Karim, Farha Islam Mime, M. Islam, I. Mehedi
An analytical model of the photocurrent-voltage characteristics has been utilized to analyze important properties of organic bulk-heterojunction solar cells, e.g., generation rate, electron current density, hole current density and the total photocurrent density. The generation rate of P3HT:PCBM based solar cell critically depends on the absorption coefficient. For measuring the electron and hole current density solution of carrier continuity equation is used in MATLAB. Then the effects of electron and hole current density on the performance of P3HT solar cells have been studied. The result of this paper demonstrate that current density due to electron plays a major role in photocurrent production while hole current density has a very little impact. Effect of electron and hole mobility variation are investigated separately which indicate that increasing electron mobility are extremely important than hole mobility to increase the power conversion efficiency of P3HT:PCBM blend. The dependence of electron and hole current densities as a function of the blend thickness is also analyzed.
{"title":"Performance analysis of P3HT:PCBM based organic solar cell","authors":"Nusrat Karim, Farha Islam Mime, M. Islam, I. Mehedi","doi":"10.1109/ECACE.2017.7913017","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7913017","url":null,"abstract":"An analytical model of the photocurrent-voltage characteristics has been utilized to analyze important properties of organic bulk-heterojunction solar cells, e.g., generation rate, electron current density, hole current density and the total photocurrent density. The generation rate of P3HT:PCBM based solar cell critically depends on the absorption coefficient. For measuring the electron and hole current density solution of carrier continuity equation is used in MATLAB. Then the effects of electron and hole current density on the performance of P3HT solar cells have been studied. The result of this paper demonstrate that current density due to electron plays a major role in photocurrent production while hole current density has a very little impact. Effect of electron and hole mobility variation are investigated separately which indicate that increasing electron mobility are extremely important than hole mobility to increase the power conversion efficiency of P3HT:PCBM blend. The dependence of electron and hole current densities as a function of the blend thickness is also analyzed.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124440391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-02-01DOI: 10.1109/ECACE.2017.7912970
Md. Mostafizur Rahman, Md. Abdulla-Al-Sun, K. Hasan, M. Shuvo
The goal of language processing is to make machines be able to read human language comprehensively and use human language to communicate with human beings. To achieve this goal, the first step is to parse the sentence structure correctly. In this paper, we propose a parsing technique for Bangla Language based on Non-Deterministic Push-Down Automata (NPDA). The NPDA parser takes the Context Free Grammars (CFG) of Bangla Language for preprocessing. The NPDA is efficient especially when large number of CFGs needs to be processed. The predictive parser needs to generate parse table from the CFG if the number of CFGs are large then it is difficult to construct such a big parse table. The NPDA does not require constructing any parse table and it can process the CFG directly. The parser can detect Bangla sentences of all forms whether they are syntactically and grammatically correct or not. Finally, we compare these two parsers with their complexity and efficiency issues. Comparing with these important issues, the NPDA parser gives the better result than predictive parser. Sufficient examples and figures are described to explain the parsing idea.
{"title":"Designing a Bangla parser using non-deterministic push down automata","authors":"Md. Mostafizur Rahman, Md. Abdulla-Al-Sun, K. Hasan, M. Shuvo","doi":"10.1109/ECACE.2017.7912970","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7912970","url":null,"abstract":"The goal of language processing is to make machines be able to read human language comprehensively and use human language to communicate with human beings. To achieve this goal, the first step is to parse the sentence structure correctly. In this paper, we propose a parsing technique for Bangla Language based on Non-Deterministic Push-Down Automata (NPDA). The NPDA parser takes the Context Free Grammars (CFG) of Bangla Language for preprocessing. The NPDA is efficient especially when large number of CFGs needs to be processed. The predictive parser needs to generate parse table from the CFG if the number of CFGs are large then it is difficult to construct such a big parse table. The NPDA does not require constructing any parse table and it can process the CFG directly. The parser can detect Bangla sentences of all forms whether they are syntactically and grammatically correct or not. Finally, we compare these two parsers with their complexity and efficiency issues. Comparing with these important issues, the NPDA parser gives the better result than predictive parser. Sufficient examples and figures are described to explain the parsing idea.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122739481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-02-01DOI: 10.1109/ECACE.2017.7912921
Md. Asadur Rahman, Mohiudding Ahmad
Main objective of this work is to find the connectivity of motor action of the brain with prefrontal lobe, though motor cortex is situated at the later part of frontal lobe. Generally a question arises that is there any connectivity between prefrontal lobe and motor area. This study proposes a statistical method to examine the most prominent area of prefrontal cortex that is consistently connected with the motor action. The main challenge of this work is taking decision on prefrontal activity during motor action. So, in this study motor action is measured from prefrontal cortex by acquiring the oxygen saturation through functional near infrared spectroscopy (fNIRS). The average change in concentration of Hb and HbO2 are taken into account to find the consistent change of concentration by 2 ways ANOVA. Our results show that only 4 channels of prefrontal cortex have significant (p<0.05) connectivity with motor cortex during motor action. This study will be helpful for brain computer interface for motor action.
{"title":"Evaluating the connectivity of motor area with prefrontal cortex by fNIR spectroscopy","authors":"Md. Asadur Rahman, Mohiudding Ahmad","doi":"10.1109/ECACE.2017.7912921","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7912921","url":null,"abstract":"Main objective of this work is to find the connectivity of motor action of the brain with prefrontal lobe, though motor cortex is situated at the later part of frontal lobe. Generally a question arises that is there any connectivity between prefrontal lobe and motor area. This study proposes a statistical method to examine the most prominent area of prefrontal cortex that is consistently connected with the motor action. The main challenge of this work is taking decision on prefrontal activity during motor action. So, in this study motor action is measured from prefrontal cortex by acquiring the oxygen saturation through functional near infrared spectroscopy (fNIRS). The average change in concentration of Hb and HbO2 are taken into account to find the consistent change of concentration by 2 ways ANOVA. Our results show that only 4 channels of prefrontal cortex have significant (p<0.05) connectivity with motor cortex during motor action. This study will be helpful for brain computer interface for motor action.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128259947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-02-01DOI: 10.1109/ECACE.2017.7912930
Shagorika Mukherjee, M. Razzak
Bangladesh is a country with hundreds of rivers. The country is divided into eight divisions and each of the divisions have a number of river deltas in them, where the cost of land is very less and thus highly attractive for developing solar projects on the river deltas. However, due to varying geographical locations, each of the divisions of Bangladesh receive varying amount of solar irradiation and thus for the same system design (100 kW in this study), different divisions need different number of solar panels, mounting system, power capacity of inverter and amount of land, this in turn affects the financial parameters and thus feasibility of the system. This paper presents the analysis of 100 kW grid-connected solar photovoltaic system developed on the river deltas of each division of Bangladesh separately in terms of the quantity of land required to develop such system in each of the divisions along with several financial aspects to determine the feasibility of the system. Each 100kW solar grid has the capacity to eliminate the emission of around 166 tons of greenhouse gases yearly and thus has massive environmental impact.
{"title":"Analysis of 100 kW grid-connected solar photovoltaic system developed on the river deltas of eight divisions of Bangladesh using RETScreen","authors":"Shagorika Mukherjee, M. Razzak","doi":"10.1109/ECACE.2017.7912930","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7912930","url":null,"abstract":"Bangladesh is a country with hundreds of rivers. The country is divided into eight divisions and each of the divisions have a number of river deltas in them, where the cost of land is very less and thus highly attractive for developing solar projects on the river deltas. However, due to varying geographical locations, each of the divisions of Bangladesh receive varying amount of solar irradiation and thus for the same system design (100 kW in this study), different divisions need different number of solar panels, mounting system, power capacity of inverter and amount of land, this in turn affects the financial parameters and thus feasibility of the system. This paper presents the analysis of 100 kW grid-connected solar photovoltaic system developed on the river deltas of each division of Bangladesh separately in terms of the quantity of land required to develop such system in each of the divisions along with several financial aspects to determine the feasibility of the system. Each 100kW solar grid has the capacity to eliminate the emission of around 166 tons of greenhouse gases yearly and thus has massive environmental impact.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129663876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-02-01DOI: 10.1109/ECACE.2017.7912923
Md Mamun Or Rashid, Mohiudding Ahmad
Epilepsy detection is enough time consuming and requires thorough observation to determine epilepsy type and locate the responsible area of the cerebral cortex. This paper proposes an effortless epilepsy classification method for straightforward epilepsy detection and investigates the classification accuracy of multiclass EEG signal during epilepsy. To accomplish our research work we exploit DWT MATLAB toolbox to obtain responsible features to accumulate feature vectors. Afterwards feature vectors are given in the input layer of the NN classifiers to differentiate normal, interictal and ictal EEG periods. Accuracy rate is calculated based on the confusion matrix. Proposed method can be utilized to monitor and detect epilepsy type incorporating with alarm system.
{"title":"Epileptic seizure classification using statistical features of EEG signal","authors":"Md Mamun Or Rashid, Mohiudding Ahmad","doi":"10.1109/ECACE.2017.7912923","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7912923","url":null,"abstract":"Epilepsy detection is enough time consuming and requires thorough observation to determine epilepsy type and locate the responsible area of the cerebral cortex. This paper proposes an effortless epilepsy classification method for straightforward epilepsy detection and investigates the classification accuracy of multiclass EEG signal during epilepsy. To accomplish our research work we exploit DWT MATLAB toolbox to obtain responsible features to accumulate feature vectors. Afterwards feature vectors are given in the input layer of the NN classifiers to differentiate normal, interictal and ictal EEG periods. Accuracy rate is calculated based on the confusion matrix. Proposed method can be utilized to monitor and detect epilepsy type incorporating with alarm system.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133929108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-02-01DOI: 10.1109/ECACE.2017.7912904
Md Saiful Islam, Fazla Elahi Md Jubayer, S. Ahmed
Document categorization is a technique through which the category of a document is determined. This paper deals with the automatic classification of Bangla documents. In this proposed categorization system, a support vector machine is used for classifying a document in predefine twelve categories. In this classification model TFIDF (term frequency-inverse document frequency) weighting with length normalization is used for feature selection after the preprocessing of data set is complete. It is shown that the results achieved by applying SVM to classify the category of a Bangla document are very promising as compared to conventional methods where features are chosen on the basis of bag-of-words. The accuracy of this proposed methodology is 92.57% for twelve categories.
{"title":"A support vector machine mixed with TF-IDF algorithm to categorize Bengali document","authors":"Md Saiful Islam, Fazla Elahi Md Jubayer, S. Ahmed","doi":"10.1109/ECACE.2017.7912904","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7912904","url":null,"abstract":"Document categorization is a technique through which the category of a document is determined. This paper deals with the automatic classification of Bangla documents. In this proposed categorization system, a support vector machine is used for classifying a document in predefine twelve categories. In this classification model TFIDF (term frequency-inverse document frequency) weighting with length normalization is used for feature selection after the preprocessing of data set is complete. It is shown that the results achieved by applying SVM to classify the category of a Bangla document are very promising as compared to conventional methods where features are chosen on the basis of bag-of-words. The accuracy of this proposed methodology is 92.57% for twelve categories.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134020379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-02-01DOI: 10.1109/ECACE.2017.7912932
Tushar Sarkar, M. K. Kundu, M. Azmain, M. A. Khan
This paper presents a comparison between graphene and other common materials and evaluates the feasibility of the use of graphene as heat spreader material. In this paper we propose to develop a model and numerical procedure for the (i) comparison of graphene with other well-known heat conductors and (ii) simulate heat propagation to verify the effect of different architectures. The whole work is based on simulation using COMSOL Multiphysics (version 4.3b) software package which allows us to develop a numerical model by solving partial differential equation. We have tried to focus on how different architecture of heat spreader affects the heat transfer phenomena and also the effect of proper alignment of the heat spreader with respect to the hot spots. We include several hot spots at different locations at the same time to analyze how the position of hot spots influence the overall temperature distribution and which positions are dominant in heat generation. The result of these analyses can be provided as useful input for experimental design of heat spreader and the selection of material for different applications, mainly in device-level thermal management.
{"title":"Thermal conduction in graphene thin films considering different materials of various shapes","authors":"Tushar Sarkar, M. K. Kundu, M. Azmain, M. A. Khan","doi":"10.1109/ECACE.2017.7912932","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7912932","url":null,"abstract":"This paper presents a comparison between graphene and other common materials and evaluates the feasibility of the use of graphene as heat spreader material. In this paper we propose to develop a model and numerical procedure for the (i) comparison of graphene with other well-known heat conductors and (ii) simulate heat propagation to verify the effect of different architectures. The whole work is based on simulation using COMSOL Multiphysics (version 4.3b) software package which allows us to develop a numerical model by solving partial differential equation. We have tried to focus on how different architecture of heat spreader affects the heat transfer phenomena and also the effect of proper alignment of the heat spreader with respect to the hot spots. We include several hot spots at different locations at the same time to analyze how the position of hot spots influence the overall temperature distribution and which positions are dominant in heat generation. The result of these analyses can be provided as useful input for experimental design of heat spreader and the selection of material for different applications, mainly in device-level thermal management.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134122096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-02-01DOI: 10.1109/ECACE.2017.7912984
Sayeed Shafayet Chowdhury, Md. Billal Hossain, Syed Mohammad Ashab Uddin
Matrix inversion is a fundamental operation in matrix algebra which is widely used in many electrical engineering applications. Although there are many inversion algorithms prevalent, a new method based on unsymmetrical fault analysis is presented here. The proposed approach highlights a wonderful analogy between mathematics and electrical circuits. It focuses on finding inverse of an invertible symmetric matrix purely based on techniques developed for line to line fault analysis. First, the elements of the given matrix are used to form a bus admittance matrix. Then, a line-to-line fault is assumed to simulate a real-life scenario and power system fault analysis is used to calculate the corresponding fault current. From the thus obtained results, the inverse of the matrix is computed. Simulation is used to validate the results which demonstrate that the method can be used to perform matrix inversion of symmetric matrices using the developed concepts of power system fault analysis.
{"title":"Inversion of symmetric matrices using unsymmetrical fault analysis","authors":"Sayeed Shafayet Chowdhury, Md. Billal Hossain, Syed Mohammad Ashab Uddin","doi":"10.1109/ECACE.2017.7912984","DOIUrl":"https://doi.org/10.1109/ECACE.2017.7912984","url":null,"abstract":"Matrix inversion is a fundamental operation in matrix algebra which is widely used in many electrical engineering applications. Although there are many inversion algorithms prevalent, a new method based on unsymmetrical fault analysis is presented here. The proposed approach highlights a wonderful analogy between mathematics and electrical circuits. It focuses on finding inverse of an invertible symmetric matrix purely based on techniques developed for line to line fault analysis. First, the elements of the given matrix are used to form a bus admittance matrix. Then, a line-to-line fault is assumed to simulate a real-life scenario and power system fault analysis is used to calculate the corresponding fault current. From the thus obtained results, the inverse of the matrix is computed. Simulation is used to validate the results which demonstrate that the method can be used to perform matrix inversion of symmetric matrices using the developed concepts of power system fault analysis.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129829357","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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