Pub Date : 2015-10-01DOI: 10.11591/IJEECS.V16.I1.PP46-51
Bharat H. Nagpara
In this paper, The Design and Implementation low power Current Steering Digital to Analog Converter in 45 nm technology using GDI Logic using TANNER TOOL, V15 is presented. This architecture gives the most optimized results in terms of speed, resolution and power. The designed 6-bit DAC operates with two supply voltages, 1 V and 3.3 V. The simulation result shows the transient analysis waveforms of current Steering DAC. The average power dissipation is 364.06 μW. The tool used for simulation is Tanner S-Edit and T-Spice. Comparisons show that using GDI logic, it consists low power as compare to the CMOS logic.
{"title":"A 45 nm 6 Bit Low Power Current Steering Digital to Analog Converter Using GDI Logic","authors":"Bharat H. Nagpara","doi":"10.11591/IJEECS.V16.I1.PP46-51","DOIUrl":"https://doi.org/10.11591/IJEECS.V16.I1.PP46-51","url":null,"abstract":"In this paper, The Design and Implementation low power Current Steering Digital to Analog Converter in 45 nm technology using GDI Logic using TANNER TOOL, V15 is presented. This architecture gives the most optimized results in terms of speed, resolution and power. The designed 6-bit DAC operates with two supply voltages, 1 V and 3.3 V. The simulation result shows the transient analysis waveforms of current Steering DAC. The average power dissipation is 364.06 μW. The tool used for simulation is Tanner S-Edit and T-Spice. Comparisons show that using GDI logic, it consists low power as compare to the CMOS logic.","PeriodicalId":247642,"journal":{"name":"TELKOMNIKA Indonesian Journal of Electrical Engineering","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114592047","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 : 2015-10-01DOI: 10.11591/IJEECS.V16.I1.PP19-29
Q. K. Mohsin, Xiangning Lin, Owolabi Sunday, A. Waqar
Due to increasing demand on electrical energy in Iraq and to have clean energy that is environmental friendly, wind energy would be one of the most important and promising sources of renewable energy to achieve this goal. This paper discussed the reasons to use the Doubly-Feed Induction Generator (DFIG) amongst the available types of wind turbine generators, and in section (4) illustrate Motivations to select place to the wind farm construction. using decupling method (the vector control strategy) to change reactive power of DFIG 2MW connected to middle of the 132KV transmission line (Karbala north – Alahkader) without effect about the active power generated from DFIG itself with fixed wind speed value assumed to provide the voltage regulation, and control of the transmission line In addition to power generating. By using PSCAD/EMTDC, different simulation results are presented based on various scenarios.
{"title":"Power Generation and Voltage Regulation of 132KV Karbala Grid using DFIG Wind Turbine Generator","authors":"Q. K. Mohsin, Xiangning Lin, Owolabi Sunday, A. Waqar","doi":"10.11591/IJEECS.V16.I1.PP19-29","DOIUrl":"https://doi.org/10.11591/IJEECS.V16.I1.PP19-29","url":null,"abstract":"Due to increasing demand on electrical energy in Iraq and to have clean energy that is environmental friendly, wind energy would be one of the most important and promising sources of renewable energy to achieve this goal. This paper discussed the reasons to use the Doubly-Feed Induction Generator (DFIG) amongst the available types of wind turbine generators, and in section (4) illustrate Motivations to select place to the wind farm construction. using decupling method (the vector control strategy) to change reactive power of DFIG 2MW connected to middle of the 132KV transmission line (Karbala north – Alahkader) without effect about the active power generated from DFIG itself with fixed wind speed value assumed to provide the voltage regulation, and control of the transmission line In addition to power generating. By using PSCAD/EMTDC, different simulation results are presented based on various scenarios.","PeriodicalId":247642,"journal":{"name":"TELKOMNIKA Indonesian Journal of Electrical Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129514116","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 : 2015-10-01DOI: 10.11591/IJEECS.V16.I1.PP191-198
Hicham Ouchitachen, Abdellatif Hair, N. Idrissi
Placement of nodes has been the major challenge in wireless sensor networks. The data reported from a sensor is only useful when the position of that sensor is found. In this context, several techniques have been proposed to conserve power consumption and to prolong the lifetime of the wireless sensor networks. In this paper, we propose a new algorithm that accurately finds the best locations of sensors while minimizing the average energy consumed in the network. More precisely, we consider a critical network in each sensor satisfying its own missions and depending on its locations. In addition to fulfill their mission, the sensor tries to maintain a good neighboring nodes quality. we determine the location of node by using two criteria: the cost and the quality of communication. The aim of this work is to develop a new algorithm so as to solve the complicated optimization problem posed in this case while minimize the total energy consumption. Our simulation results demonstrate that our algorithm is very advantageous in terms of convergence to the appropriate locations.
{"title":"Optimal Placement of Sensors in Mission-specific Mobile Sensor Networks","authors":"Hicham Ouchitachen, Abdellatif Hair, N. Idrissi","doi":"10.11591/IJEECS.V16.I1.PP191-198","DOIUrl":"https://doi.org/10.11591/IJEECS.V16.I1.PP191-198","url":null,"abstract":"Placement of nodes has been the major challenge in wireless sensor networks. The data reported from a sensor is only useful when the position of that sensor is found. In this context, several techniques have been proposed to conserve power consumption and to prolong the lifetime of the wireless sensor networks. In this paper, we propose a new algorithm that accurately finds the best locations of sensors while minimizing the average energy consumed in the network. More precisely, we consider a critical network in each sensor satisfying its own missions and depending on its locations. In addition to fulfill their mission, the sensor tries to maintain a good neighboring nodes quality. we determine the location of node by using two criteria: the cost and the quality of communication. The aim of this work is to develop a new algorithm so as to solve the complicated optimization problem posed in this case while minimize the total energy consumption. Our simulation results demonstrate that our algorithm is very advantageous in terms of convergence to the appropriate locations.","PeriodicalId":247642,"journal":{"name":"TELKOMNIKA Indonesian Journal of Electrical Engineering","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130225862","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 : 2015-10-01DOI: 10.11591/IJEECS.V16.I1.PP167-175
Salima El Fadili, Firdaous Gmira
In a highly competitive environment saturated in information traversing the earth in nanosecond, the major challenge for companies is to have the right information at the right time, to exploit it and transform it into useful organizational knowledge for strategy formulation and decision-making. Nowadays, several management practices have been developed and designed to cope with the complexity that exists in the business environment and to maintain a sustained competitive advantage. Competitive intelligence is one of these innovative strategic management practices that play an increasingly important role in decision-making. This article attempts to present an overview of its fundamental concepts, functions and process and to explain how information is utilized in supporting decision-making process. The findings of this research suggest that decision makers should focus on developing competitive intelligence process in their organizations. This paper falls under a research task that was not confronted yet with the test of the terrain survey.
{"title":"Competitive intelligence: Leaven of a New Managerial Device for Decision Support","authors":"Salima El Fadili, Firdaous Gmira","doi":"10.11591/IJEECS.V16.I1.PP167-175","DOIUrl":"https://doi.org/10.11591/IJEECS.V16.I1.PP167-175","url":null,"abstract":"In a highly competitive environment saturated in information traversing the earth in nanosecond, the major challenge for companies is to have the right information at the right time, to exploit it and transform it into useful organizational knowledge for strategy formulation and decision-making. Nowadays, several management practices have been developed and designed to cope with the complexity that exists in the business environment and to maintain a sustained competitive advantage. Competitive intelligence is one of these innovative strategic management practices that play an increasingly important role in decision-making. This article attempts to present an overview of its fundamental concepts, functions and process and to explain how information is utilized in supporting decision-making process. The findings of this research suggest that decision makers should focus on developing competitive intelligence process in their organizations. This paper falls under a research task that was not confronted yet with the test of the terrain survey.","PeriodicalId":247642,"journal":{"name":"TELKOMNIKA Indonesian Journal of Electrical Engineering","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128452176","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 : 2015-10-01DOI: 10.11591/IJEECS.V16.I1.PP91-97
B. G. Irianto, M. R. Mak'ruf, D. Titisari
Reading image of lung cancer screening well-known as X-ray by practitioners are sometimes subjective. This research tried to create software that can detect lung cancer as a comparison of the work of medical practitioners using artificial neural networks (ANN), with X-ray movies taken from the tool diagnostic radiography (DR) stored in the compact disc. The dependent variable observation in this study is the identification of DR X-ray image size of 1024 x 1024 pixels. A total of 10 images X-ray which has been observed by the physician radiology. With 5 images X-ray normal and 5 images lung cancer. In this study, the image processing is done through three stages: neighborhood averaging, median filter and histogram equalization. The result of these features are grouped in normal categories. From test results stating the truth 80%. To facilitate the user in the lung disease pattern recognition. GUI applications design using MATLAB. We use some form of image processing which includes form training andtesting. The best parameters obtained from this research include learning rate=0.3, the number of hidden layer=30 and tolerance error=10-8. From the results obtained by the level of accuracy of the training image of normal lung, lung cancer in a row is 80%. Overall the level of accuracy of the results is 80%.
{"title":"Identification of Lung Cancer Using a Back Propagation Neural Network","authors":"B. G. Irianto, M. R. Mak'ruf, D. Titisari","doi":"10.11591/IJEECS.V16.I1.PP91-97","DOIUrl":"https://doi.org/10.11591/IJEECS.V16.I1.PP91-97","url":null,"abstract":"Reading image of lung cancer screening well-known as X-ray by practitioners are sometimes subjective. This research tried to create software that can detect lung cancer as a comparison of the work of medical practitioners using artificial neural networks (ANN), with X-ray movies taken from the tool diagnostic radiography (DR) stored in the compact disc. The dependent variable observation in this study is the identification of DR X-ray image size of 1024 x 1024 pixels. A total of 10 images X-ray which has been observed by the physician radiology. With 5 images X-ray normal and 5 images lung cancer. In this study, the image processing is done through three stages: neighborhood averaging, median filter and histogram equalization. The result of these features are grouped in normal categories. From test results stating the truth 80%. To facilitate the user in the lung disease pattern recognition. GUI applications design using MATLAB. We use some form of image processing which includes form training andtesting. The best parameters obtained from this research include learning rate=0.3, the number of hidden layer=30 and tolerance error=10-8. From the results obtained by the level of accuracy of the training image of normal lung, lung cancer in a row is 80%. Overall the level of accuracy of the results is 80%.","PeriodicalId":247642,"journal":{"name":"TELKOMNIKA Indonesian Journal of Electrical Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126549828","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 : 2015-10-01DOI: 10.11591/IJEECS.V16.I1.PP136-144
Behrouz Memarzadeh, M. A. Mohammadi
Vision-based flame detection has drawn significant attention in the past decade with camera surveillance systems becoming ubiquitous. This paper proposes a multi criterion method to detect fire or flames by processing the video data generated by a high speed camera. Since flame images are special class of images, some of the unique features of a flame may be used to identify flame. There are some differences between flame images and other general images. By using these features we are able to detect fire correctly with least false alarm. In this paper we present an algorithm which can detect fire and reduce number of false alarms by counting number of identified pixels. In the algorithm, we preprocess the images to have better results. So first we adjust the gray level of a flame image according to its statistical distribution to have better processing. After that we try to extract fire features in images. First by using color characteristics, the ratio of red to green, we can identify probable fire-like or fire like pixels. Second, to highlight the regions with high gray level contrast at their edges, we use the extended prewitt filter. We use AND operation on two above processing images to remove unrelated pixels, at last by using flicker frequency, the oscillating change in the number of identified pixels over time is transformed into the frequency domain to complete detection algorithm. Simulation proves the algorithm ability to detect fire in different situations in video sequences.
{"title":"Fire Detection Using Multi Criteria Image Processing Technique in Video Sequences","authors":"Behrouz Memarzadeh, M. A. Mohammadi","doi":"10.11591/IJEECS.V16.I1.PP136-144","DOIUrl":"https://doi.org/10.11591/IJEECS.V16.I1.PP136-144","url":null,"abstract":"Vision-based flame detection has drawn significant attention in the past decade with camera surveillance systems becoming ubiquitous. This paper proposes a multi criterion method to detect fire or flames by processing the video data generated by a high speed camera. Since flame images are special class of images, some of the unique features of a flame may be used to identify flame. There are some differences between flame images and other general images. By using these features we are able to detect fire correctly with least false alarm. In this paper we present an algorithm which can detect fire and reduce number of false alarms by counting number of identified pixels. In the algorithm, we preprocess the images to have better results. So first we adjust the gray level of a flame image according to its statistical distribution to have better processing. After that we try to extract fire features in images. First by using color characteristics, the ratio of red to green, we can identify probable fire-like or fire like pixels. Second, to highlight the regions with high gray level contrast at their edges, we use the extended prewitt filter. We use AND operation on two above processing images to remove unrelated pixels, at last by using flicker frequency, the oscillating change in the number of identified pixels over time is transformed into the frequency domain to complete detection algorithm. Simulation proves the algorithm ability to detect fire in different situations in video sequences.","PeriodicalId":247642,"journal":{"name":"TELKOMNIKA Indonesian Journal of Electrical Engineering","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134403611","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 : 2015-10-01DOI: 10.11591/IJEECS.V16.I1.PP7-12
Sobhan Dorahaki
In recent years, increase in environment concerns and demand for energy are two main issues in ongoing growth of using solar systems. Solar energy has been known as a renewable and clean energy source. One of the most applied and new ways for using sun energy is hybrid photovoltaic technology. This paper discusses requirements, methods, limitations and technologies used in the hybrid photovoltaic-wind power system.
{"title":"Study of Necessities and Technologies for Using Hybrid Photovoltaic-Wind Power Systems","authors":"Sobhan Dorahaki","doi":"10.11591/IJEECS.V16.I1.PP7-12","DOIUrl":"https://doi.org/10.11591/IJEECS.V16.I1.PP7-12","url":null,"abstract":"In recent years, increase in environment concerns and demand for energy are two main issues in ongoing growth of using solar systems. Solar energy has been known as a renewable and clean energy source. One of the most applied and new ways for using sun energy is hybrid photovoltaic technology. This paper discusses requirements, methods, limitations and technologies used in the hybrid photovoltaic-wind power system.","PeriodicalId":247642,"journal":{"name":"TELKOMNIKA Indonesian Journal of Electrical Engineering","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122922546","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 : 2015-09-01DOI: 10.11591/IJEECS.V15.I3.PP597-604
Driss Naji, M. Fakir, O. Bencharef
Recently, shape-based matching and retrieval of 3D polygonal models has become one of the most fundamental problems in computer vision. Dealing with families of objects instead of a single one may impose further challenges on regular geometric algorithms. In this paper we focus on the classification of 3D objects based on their geodesic distance & path calculated on a mesh using an iterative algorithm for solving the Eikonal equation. For the classification process, we use both Multiclass Support Vector Machine (M-SVM) classifier,K-Nearest Neighbors (KNN), Decision Tree (DT) and Artificial Neural Networks (ANN) to better evaluate our descriptors. We illustrate the potential of extracted characteristics by two 3D benchmarks. The recognition rates achieved in all experiments show that a small number of curve between 9 and 12 can correctly categorize a family of 3D objects.
{"title":"3D Objects Retrieval using Geodesic Distance Based on Eikonal equation","authors":"Driss Naji, M. Fakir, O. Bencharef","doi":"10.11591/IJEECS.V15.I3.PP597-604","DOIUrl":"https://doi.org/10.11591/IJEECS.V15.I3.PP597-604","url":null,"abstract":"Recently, shape-based matching and retrieval of 3D polygonal models has become one of the most fundamental problems in computer vision. Dealing with families of objects instead of a single one may impose further challenges on regular geometric algorithms. In this paper we focus on the classification of 3D objects based on their geodesic distance & path calculated on a mesh using an iterative algorithm for solving the Eikonal equation. For the classification process, we use both Multiclass Support Vector Machine (M-SVM) classifier,K-Nearest Neighbors (KNN), Decision Tree (DT) and Artificial Neural Networks (ANN) to better evaluate our descriptors. We illustrate the potential of extracted characteristics by two 3D benchmarks. The recognition rates achieved in all experiments show that a small number of curve between 9 and 12 can correctly categorize a family of 3D objects.","PeriodicalId":247642,"journal":{"name":"TELKOMNIKA Indonesian Journal of Electrical Engineering","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129663894","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 : 2015-09-01DOI: 10.11591/IJEECS.V15.I3.PP533-543
B. Minaoui, M. Oujaoura, M. Fakir, M. Sajieddine
In this paper we study the problem of combining low-level visual features for semantic image annotation. The problem is tackled with a two different approaches that combines texture, color and shape features via a Bayesian network classifier. In first approach, vector concatenation has been applied to combine the three low-level visual features. All three descriptors are normalized and merged into a unique vector used with single classifier. In the second approach, the three types of visual features are combined in parallel scheme via three classifiers. Each type of descriptors is used separately with single classifier. The experimental results show that the semantic image annotation accuracy is higher when the second approach is used.
{"title":"Toward an Effective Combination of multiple Visual Features for Semantic Image Annotation","authors":"B. Minaoui, M. Oujaoura, M. Fakir, M. Sajieddine","doi":"10.11591/IJEECS.V15.I3.PP533-543","DOIUrl":"https://doi.org/10.11591/IJEECS.V15.I3.PP533-543","url":null,"abstract":"In this paper we study the problem of combining low-level visual features for semantic image annotation. The problem is tackled with a two different approaches that combines texture, color and shape features via a Bayesian network classifier. In first approach, vector concatenation has been applied to combine the three low-level visual features. All three descriptors are normalized and merged into a unique vector used with single classifier. In the second approach, the three types of visual features are combined in parallel scheme via three classifiers. Each type of descriptors is used separately with single classifier. The experimental results show that the semantic image annotation accuracy is higher when the second approach is used.","PeriodicalId":247642,"journal":{"name":"TELKOMNIKA Indonesian Journal of Electrical Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130550547","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 : 2015-09-01DOI: 10.17485/IJST/2015/V8I23/71858
Rajesh Damaraju, S. Lalitha
Non linear loads are highly effected by variations in voltages. Dynamic voltage restorer is one of the most popular compensating devices due to its low cost and better performance. Usage of Park’s transformation technique effectively reduces the rating of Dynamic voltage restorer. Application of fuzzy logic controller for getting the better result is proposed in this paper. The results are verified in Matlab/Simulink environment.
{"title":"A Fuzzy Controller for Compensation of Voltage SAG/SWELL Problems Using Reduced Rating Dynamic Voltage Restorer","authors":"Rajesh Damaraju, S. Lalitha","doi":"10.17485/IJST/2015/V8I23/71858","DOIUrl":"https://doi.org/10.17485/IJST/2015/V8I23/71858","url":null,"abstract":"Non linear loads are highly effected by variations in voltages. Dynamic voltage restorer is one of the most popular compensating devices due to its low cost and better performance. Usage of Park’s transformation technique effectively reduces the rating of Dynamic voltage restorer. Application of fuzzy logic controller for getting the better result is proposed in this paper. The results are verified in Matlab/Simulink environment.","PeriodicalId":247642,"journal":{"name":"TELKOMNIKA Indonesian Journal of Electrical Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134149438","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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