Coupled Integral Equation Technique (CIET) is presented for the study of propagation characteristics of circular waveguide periodically loaded with dielectric disks operating in TM01d mode. CIET is a combination of Mode Matching Technique (MMT) and Method of Moments. The results are presented for three materials having different dielectric constants and compared with 3D simulation tool CST Studio in terms of simulation time and accuracy.
{"title":"Analysis of Propagation Characteristics of Circular Waveguide Loaded with Dielectric Disks Using Coupled Integral Equation Technique","authors":"L. Christie, G. Erabati, Mita Jana","doi":"10.1109/ICACC.2015.115","DOIUrl":"https://doi.org/10.1109/ICACC.2015.115","url":null,"abstract":"Coupled Integral Equation Technique (CIET) is presented for the study of propagation characteristics of circular waveguide periodically loaded with dielectric disks operating in TM01d mode. CIET is a combination of Mode Matching Technique (MMT) and Method of Moments. The results are presented for three materials having different dielectric constants and compared with 3D simulation tool CST Studio in terms of simulation time and accuracy.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"42 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":"128473474","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}
Venkatanarayana Chittela, Suresh Kotapati, D. Ratnam
Power Divider (PD) design intended for feeding dipole antenna meant for Global System for Mobile Communications (GSM) 900 applications with an antenna height of 22 mm, operating in the frequency range of 880~960 MHz is presented herein. The PD provides 3 dB power division along with complementary phase at its output. The out of phase division of power divider is obtained by utilizing the concept of defected ground structures. A slot line accompanied by T-junction makes up the defected ground region, while coupled microstrip lines form the feed positions. The simulated and the measured results are in good coherence. PD shows good return loss and low insertion loss. It is observed that the dual polarized base station antenna has VSWR below 2 in the required frequency range, 10 dB gain and port to port isolation is less than 22 dB. The antenna is dual polarized and a + or - 45 degrees polarization is maintained.
{"title":"Complementary Phase Power Divider Feed for Dipole Antenna Specific to GSM 900 Base Station Applications","authors":"Venkatanarayana Chittela, Suresh Kotapati, D. Ratnam","doi":"10.1109/ICACC.2015.26","DOIUrl":"https://doi.org/10.1109/ICACC.2015.26","url":null,"abstract":"Power Divider (PD) design intended for feeding dipole antenna meant for Global System for Mobile Communications (GSM) 900 applications with an antenna height of 22 mm, operating in the frequency range of 880~960 MHz is presented herein. The PD provides 3 dB power division along with complementary phase at its output. The out of phase division of power divider is obtained by utilizing the concept of defected ground structures. A slot line accompanied by T-junction makes up the defected ground region, while coupled microstrip lines form the feed positions. The simulated and the measured results are in good coherence. PD shows good return loss and low insertion loss. It is observed that the dual polarized base station antenna has VSWR below 2 in the required frequency range, 10 dB gain and port to port isolation is less than 22 dB. The antenna is dual polarized and a + or - 45 degrees polarization is maintained.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"112 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":"129841729","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}
Ultra Wide Band (UWB) communication is a promising technology and which will be a revolution in the area of wireless communication. These subnano second narrow pulses spreading the energy over a wide frequency band and hence provides bandwidth in Giga Hertz. As one of the major concern while choosing the pulse shape for UWB communication is satisfying the FCC emission mask requirements. For an efficient UWB communication spectral efficiency should be good and it is possible to attain only with an optimal wave shaping method. The wave optimization is possible with several methods but an efficient UWB system should consumes very low power, optimum bandwidth and efficiently fitting under the FCC mask. UWB wireless systems should generate minimum interference to other Narrow Band systems in the same frequency band and mutual interference degrades the performances. The proposed technique offers low power consumption, optimum bandwidth, good spectral efficiency and reduces the mutual interferences without modifying the narrowband system architecture. The wave optimization has performed with wavelet method, which is one of the promising method. The interference mitigations also achieved with the help of wavelet based wave shaping with multi-resolution technique for the Transmitted Reference Ultra Wide Band(TR-UWB) signal. Finally the generated UWB signal has optimized with different values of wave shaping factor 'α' for higher order derivative of Gaussian pulse. Here wavelet based impulse waveform is generated using MATLAB for obtaining an interference free multisystem.
{"title":"Wavelet-Based Gaussian Impulse Generation and Optimization for UWB Communication","authors":"V. V. Kumar, V. Ajith, M. Meenakshi","doi":"10.1109/ICACC.2015.71","DOIUrl":"https://doi.org/10.1109/ICACC.2015.71","url":null,"abstract":"Ultra Wide Band (UWB) communication is a promising technology and which will be a revolution in the area of wireless communication. These subnano second narrow pulses spreading the energy over a wide frequency band and hence provides bandwidth in Giga Hertz. As one of the major concern while choosing the pulse shape for UWB communication is satisfying the FCC emission mask requirements. For an efficient UWB communication spectral efficiency should be good and it is possible to attain only with an optimal wave shaping method. The wave optimization is possible with several methods but an efficient UWB system should consumes very low power, optimum bandwidth and efficiently fitting under the FCC mask. UWB wireless systems should generate minimum interference to other Narrow Band systems in the same frequency band and mutual interference degrades the performances. The proposed technique offers low power consumption, optimum bandwidth, good spectral efficiency and reduces the mutual interferences without modifying the narrowband system architecture. The wave optimization has performed with wavelet method, which is one of the promising method. The interference mitigations also achieved with the help of wavelet based wave shaping with multi-resolution technique for the Transmitted Reference Ultra Wide Band(TR-UWB) signal. Finally the generated UWB signal has optimized with different values of wave shaping factor 'α' for higher order derivative of Gaussian pulse. Here wavelet based impulse waveform is generated using MATLAB for obtaining an interference free multisystem.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"5 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":"128536161","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}
H. Haripriya, R. Devisree, D. Pooja, Prema Nedungadi
Self Organizing Maps perform clustering of data based on unsupervised learning. It is of concern that initialization of the weight vector contributes significantly to the performance of SOM and since real world datasets being high-dimensional, the complexity of SOM tend to increase tremendously leading to increased time consumption as well. Our work focuses on the analysis of different weight initialization strategies and various dimensionality reduction measures with the intent to make SOM flexible for handling high-dimensional datasets. We use two methods of comparison, one on projected space and another before projection. The datasets used are real world datasets taken from UCI repository.
{"title":"A Comparative Performance Analysis of Self Organizing Maps on Weight Initializations Using different Strategies","authors":"H. Haripriya, R. Devisree, D. Pooja, Prema Nedungadi","doi":"10.1109/ICACC.2015.75","DOIUrl":"https://doi.org/10.1109/ICACC.2015.75","url":null,"abstract":"Self Organizing Maps perform clustering of data based on unsupervised learning. It is of concern that initialization of the weight vector contributes significantly to the performance of SOM and since real world datasets being high-dimensional, the complexity of SOM tend to increase tremendously leading to increased time consumption as well. Our work focuses on the analysis of different weight initialization strategies and various dimensionality reduction measures with the intent to make SOM flexible for handling high-dimensional datasets. We use two methods of comparison, one on projected space and another before projection. The datasets used are real world datasets taken from UCI repository.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"3 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":"132467903","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}
In this paper, two antenna geometries for multiband applications are presented. The fundamental structure consists of a circular monopole with a hexagonal slot inscribed. This structure yields different operating bands which are suitable for global systems for mobile communications (GSM 1800/1900 1.71-1.88 GHz/1.85-1.99 GHz), wireless technology for personal area networks (Bluetooth 2.4-2.485 GHz) and international mobile telecommunications advanced system for fourth generation mobile communication (IMT-advanced 3.4-4.2 GHz). A higher operating band is obtained at upper wireless local area network (WLAN 5.725-5.825 GHz) by two different designs. The two designs are simulated using Ansys HFSS and the radiation characteristics of the two antennas are presented.
{"title":"CPW-fed Compact Multiband Antennas Using Circular Monopole with Hexagonal Slot","authors":"Saira Joseph, B. Paul, S. Mridula, P. Mohanan","doi":"10.1109/ICACC.2015.87","DOIUrl":"https://doi.org/10.1109/ICACC.2015.87","url":null,"abstract":"In this paper, two antenna geometries for multiband applications are presented. The fundamental structure consists of a circular monopole with a hexagonal slot inscribed. This structure yields different operating bands which are suitable for global systems for mobile communications (GSM 1800/1900 1.71-1.88 GHz/1.85-1.99 GHz), wireless technology for personal area networks (Bluetooth 2.4-2.485 GHz) and international mobile telecommunications advanced system for fourth generation mobile communication (IMT-advanced 3.4-4.2 GHz). A higher operating band is obtained at upper wireless local area network (WLAN 5.725-5.825 GHz) by two different designs. The two designs are simulated using Ansys HFSS and the radiation characteristics of the two antennas are presented.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"27 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":"132595103","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}
Memory is an important part of any digital circuit in which data is stored and retrieved. Technology scaling, lower operating voltages and high integration densities leads for failures in the reliability of memories. The main problem is Single Event Upsets (SEUs) that alters the memories from its normal way of functioning. This paper presents design and implementation of Majority Logic (ML) detecting/decoding on different cyclic codes for error detection and correction. ML decoding method is more capable to detect and correct large number of errors but it takes same high access time for both error and error free codes which impacts memory performance. In this paper, the proposed advanced ML method reduces decoding cycles when there is no error in the data read. The error detection and correction method is done by majority logic decoding and is made effective for Low Density Parity Check (LDPC) codes. This method lowers the power consumption and latency for wide range sizes of code words.
{"title":"A Novel Approach for Design, Implementation and Construction of Low Density Parity Check (LDPC) Memory","authors":"B. Harshitha, M. Karthik, Vinayak Tambralli","doi":"10.1109/ICACC.2015.63","DOIUrl":"https://doi.org/10.1109/ICACC.2015.63","url":null,"abstract":"Memory is an important part of any digital circuit in which data is stored and retrieved. Technology scaling, lower operating voltages and high integration densities leads for failures in the reliability of memories. The main problem is Single Event Upsets (SEUs) that alters the memories from its normal way of functioning. This paper presents design and implementation of Majority Logic (ML) detecting/decoding on different cyclic codes for error detection and correction. ML decoding method is more capable to detect and correct large number of errors but it takes same high access time for both error and error free codes which impacts memory performance. In this paper, the proposed advanced ML method reduces decoding cycles when there is no error in the data read. The error detection and correction method is done by majority logic decoding and is made effective for Low Density Parity Check (LDPC) codes. This method lowers the power consumption and latency for wide range sizes of code words.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"39 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":"133045588","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}
In the present communication, we have applied the concept of Triangular Intuitionistic Fuzzy Numbers (TIFNs) to the study of a Multiple Criteria Decision Making (MCDM) problem for finding the best alternative where the linguistic variables for the criteria are intuitively predefined in the form of TIFNs. On the basis of decision maker's qualitative opinions as well as the management's opinions to the criteria, the weight of each criterion is being calculated with the help of parametric entropy and 'useful' parametric entropy under α - cut/(α, β) - cut based distance measures for different possible values of parameters. Also, an algorithm for Triangular Intuitionistic Fuzzy Multi-criteria Decision Making (TIF-MCDM) problem where the ranking of the available alternatives by calculating the various distances between the ideal alternative and all the available alternatives has been provided. An illustrative example showing the procedure to rank the alternatives in view of the different opinions has also been provided.
{"title":"On Ranking in Triangular Intuitionistic Fuzzy Multi-criteria Decision Making under (a, ß)-cut with 'Useful' Parametric Entropy","authors":"N. Gandotra, R. Bajaj, J. Mathew","doi":"10.1109/ICACC.2015.33","DOIUrl":"https://doi.org/10.1109/ICACC.2015.33","url":null,"abstract":"In the present communication, we have applied the concept of Triangular Intuitionistic Fuzzy Numbers (TIFNs) to the study of a Multiple Criteria Decision Making (MCDM) problem for finding the best alternative where the linguistic variables for the criteria are intuitively predefined in the form of TIFNs. On the basis of decision maker's qualitative opinions as well as the management's opinions to the criteria, the weight of each criterion is being calculated with the help of parametric entropy and 'useful' parametric entropy under α - cut/(α, β) - cut based distance measures for different possible values of parameters. Also, an algorithm for Triangular Intuitionistic Fuzzy Multi-criteria Decision Making (TIF-MCDM) problem where the ranking of the available alternatives by calculating the various distances between the ideal alternative and all the available alternatives has been provided. An illustrative example showing the procedure to rank the alternatives in view of the different opinions has also been provided.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"10 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":"124812020","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}
Diabetes has become the fourth leading cause of death in developed countries. By the endurance and hasty spread of diabetes, with increased number of ill condition, complications in the disease all over the world, several methodologies have been developed to predict and prevent this chronic disease. An early diagnosis of disease helps patients and medical experts to reduce the problem, risk and cost of medications. This paper presented an efficient system to predict diabetes and further complications with risk level. In this system, methods including genetic algorithm, nearest neighbor, and fuzzy rule-based system have been used in order to provide an accurate prediction system to prepare for presence of diabetes and complications. In this system, 235 individual's data were collected. The best subsets of features generated by the implemented algorithm include the most common risk factors such as age, family history, BMI, weight, smoking habit, alcohol habit and also factors related to the presence of other diabetes complications considered for predication of disease. The proposed system was prejudiced and the results showed to be more suitable by selecting best subset of features selected using variations of genetic algorithm depending on the types of nearest neighbor. The succeeded results produced 95.83% sensitivity, 95.50% accuracy and 86.95% specificity on impenetrable data which support the effectiveness of the system to predict the disease.
{"title":"Risk Prediction of Disease Complications in Type 2 Diabetes Patients Using Soft Computing Techniques","authors":"Aruna Pavate, N. Ansari","doi":"10.1109/ICACC.2015.61","DOIUrl":"https://doi.org/10.1109/ICACC.2015.61","url":null,"abstract":"Diabetes has become the fourth leading cause of death in developed countries. By the endurance and hasty spread of diabetes, with increased number of ill condition, complications in the disease all over the world, several methodologies have been developed to predict and prevent this chronic disease. An early diagnosis of disease helps patients and medical experts to reduce the problem, risk and cost of medications. This paper presented an efficient system to predict diabetes and further complications with risk level. In this system, methods including genetic algorithm, nearest neighbor, and fuzzy rule-based system have been used in order to provide an accurate prediction system to prepare for presence of diabetes and complications. In this system, 235 individual's data were collected. The best subsets of features generated by the implemented algorithm include the most common risk factors such as age, family history, BMI, weight, smoking habit, alcohol habit and also factors related to the presence of other diabetes complications considered for predication of disease. The proposed system was prejudiced and the results showed to be more suitable by selecting best subset of features selected using variations of genetic algorithm depending on the types of nearest neighbor. The succeeded results produced 95.83% sensitivity, 95.50% accuracy and 86.95% specificity on impenetrable data which support the effectiveness of the system to predict the disease.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"25 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":"125987671","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}
Image fusion is the process of merging two or more images into a more informative single image. Satellite image fusion uses high resolution panchromatic image and low resolution multispectral image. IHS, Brovery, PCA, Wavelet, Curvelet etc are the existing techniques available for image fusion. But simultaneous retention of spatial and spectral resolution is an important concern in remote sensing applications. In this paper we proposed an improved Satellite image fusion method based on Fast Discrete curvelet Transform (FDCT) via wrapping. The method uses an improved fusion rule, were the maximum FDCT coefficients from each cell of the Intensity component of the MS image and histogram matched PAN image are taken. The resulting image is then undergone a comparative analysis with the outcomes of existing methodologies. The comparative analysis proves that the proposed method retains more spatial and spectral details than other methods.
{"title":"Satellite Image Fusion Based on Improved Fast Discrete Curvelet Transforms","authors":"K. Jemseera, P. Noufal","doi":"10.1109/ICACC.2015.30","DOIUrl":"https://doi.org/10.1109/ICACC.2015.30","url":null,"abstract":"Image fusion is the process of merging two or more images into a more informative single image. Satellite image fusion uses high resolution panchromatic image and low resolution multispectral image. IHS, Brovery, PCA, Wavelet, Curvelet etc are the existing techniques available for image fusion. But simultaneous retention of spatial and spectral resolution is an important concern in remote sensing applications. In this paper we proposed an improved Satellite image fusion method based on Fast Discrete curvelet Transform (FDCT) via wrapping. The method uses an improved fusion rule, were the maximum FDCT coefficients from each cell of the Intensity component of the MS image and histogram matched PAN image are taken. The resulting image is then undergone a comparative analysis with the outcomes of existing methodologies. The comparative analysis proves that the proposed method retains more spatial and spectral details than other methods.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"20 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":"125204491","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}
Bandstop filters are realized by etching periodic patterns of complementary split ring resonators(CSRR) on the ground plane, exactly below the central microstrip transmission line. This article presents hexagonal CSRR in the design of a band bandstop filter with stopbands at 1.45GHz. First, a regular hexagonal shaped CSRR is used to realize a bandstop filter. This hexagonal shaped SRR is modified to a new structure to realize a bandstop filter with same resonant frequency. These two hexagonal CSRRs are found to have similar results and the modified hexagonal filter is compact compared to the regular hexagonal filter. The structure is simple and compatible with PCB technology. Simulation results of both structures are validated through measurements.
{"title":"Microstrip Bandstop Filters Based on Hexagonal Complementary Split Ring Resonators","authors":"M. Bhaskar, J. Jasmi, T. Mathew","doi":"10.1109/ICACC.2015.72","DOIUrl":"https://doi.org/10.1109/ICACC.2015.72","url":null,"abstract":"Bandstop filters are realized by etching periodic patterns of complementary split ring resonators(CSRR) on the ground plane, exactly below the central microstrip transmission line. This article presents hexagonal CSRR in the design of a band bandstop filter with stopbands at 1.45GHz. First, a regular hexagonal shaped CSRR is used to realize a bandstop filter. This hexagonal shaped SRR is modified to a new structure to realize a bandstop filter with same resonant frequency. These two hexagonal CSRRs are found to have similar results and the modified hexagonal filter is compact compared to the regular hexagonal filter. The structure is simple and compatible with PCB technology. Simulation results of both structures are validated through measurements.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"9 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":"128464913","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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