Pub Date : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552632
A. Jarndal
In this paper, an important factors for accurate modeling of GaN HEMT is presented. Measurement uncertainty and frequency range as rules of thumb for reliable extraction of the small-signal model parameter is demonstrated. Determining the optimal pinch-off bias condition as a key point for reliable extraction of the reactive extrinsic parameters of the model is also investigated. The results of this study, which is carried out on high-power large size (in the order of 1mm gate width) devices, shows that the mentioned three points should be considered during modeling process.
{"title":"Measurements uncertainty and modeling reliability of GaN HEMTs","authors":"A. Jarndal","doi":"10.1109/ICMSAO.2013.6552632","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552632","url":null,"abstract":"In this paper, an important factors for accurate modeling of GaN HEMT is presented. Measurement uncertainty and frequency range as rules of thumb for reliable extraction of the small-signal model parameter is demonstrated. Determining the optimal pinch-off bias condition as a key point for reliable extraction of the reactive extrinsic parameters of the model is also investigated. The results of this study, which is carried out on high-power large size (in the order of 1mm gate width) devices, shows that the mentioned three points should be considered during modeling process.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114510527","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 : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552567
S. Dhib, T. Loukil, S. Addouche, A. El mhamedi
The network of the reverse logistics (RL) aims to treat and re-inject into the supply chain all that can be valorized from products which are defective, at the end of life, at the end of warranty, at high obsolescence level, etc. The design of that network must take into account many things like the uncertainty about the expected volumes of these products, the forecast of consumer needs customers, producers returns projections, recycling systems, etc. In general, products are not always accompanied with complete data. Those data are often imprecise, hypothetical, inconsistent ... Our literature review is interested mainly in economic viability of an RL organization for a family of products in the context of uncertainty. It shows that almost all research papers do not take into account the incompleteness of the data, do not capitalize on the practices and the historical data of the network and, then, do not consider any indicator of sustainable development (SD). In this paper, we develop a model to select the best reverse logistic network under uncertainty of products returns. This model uses mathematic model and Bayesian network to detect the distribution of used product, integrated in Arena Software to simulate different configurations.
{"title":"Selecting configuration of reverse logistics network using sustainability indicators","authors":"S. Dhib, T. Loukil, S. Addouche, A. El mhamedi","doi":"10.1109/ICMSAO.2013.6552567","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552567","url":null,"abstract":"The network of the reverse logistics (RL) aims to treat and re-inject into the supply chain all that can be valorized from products which are defective, at the end of life, at the end of warranty, at high obsolescence level, etc. The design of that network must take into account many things like the uncertainty about the expected volumes of these products, the forecast of consumer needs customers, producers returns projections, recycling systems, etc. In general, products are not always accompanied with complete data. Those data are often imprecise, hypothetical, inconsistent ... Our literature review is interested mainly in economic viability of an RL organization for a family of products in the context of uncertainty. It shows that almost all research papers do not take into account the incompleteness of the data, do not capitalize on the practices and the historical data of the network and, then, do not consider any indicator of sustainable development (SD). In this paper, we develop a model to select the best reverse logistic network under uncertainty of products returns. This model uses mathematic model and Bayesian network to detect the distribution of used product, integrated in Arena Software to simulate different configurations.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128309070","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 : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552706
J. Aouissi, S. Benabdallah, Z. L. Chabaane, C. Cudennec
The spatial variability of rainfall is often regarded as significant source of uncertainty in hydrological modelling like the Soil and Water Assessment Tool (SWAT). The objective of this work was to study the sensitivity analysis of SWAT model for a spatial distribution of rain gauges network as well as the subdivision of watershed. The lapse rate of precipitation was calculated from the relation between mean annual precipitation and elevation. It is for 70 mm/100 m. The Soil and Water Assessment Tool (SWAT) model was applied using 5 precipitation gauges and 5 watersheds delineations features. Seven methodologies precipitation options input in the model were implemented for studying the sensitivity analysis of SWAT. Simulated and measured streamflow at the watershed outlet were evaluated. Results were not calibrated. SWAT is extremely sensitive to spatial distribution of rain gauges but it is slightly affected by watershed delineations.
{"title":"Sensitivity analysis of SWAT model to the spatial rainfall distribution and watershed subdivision in streamflow simulations in the Mediterranean context: A case study in the Joumine watershed. Tunisia","authors":"J. Aouissi, S. Benabdallah, Z. L. Chabaane, C. Cudennec","doi":"10.1109/ICMSAO.2013.6552706","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552706","url":null,"abstract":"The spatial variability of rainfall is often regarded as significant source of uncertainty in hydrological modelling like the Soil and Water Assessment Tool (SWAT). The objective of this work was to study the sensitivity analysis of SWAT model for a spatial distribution of rain gauges network as well as the subdivision of watershed. The lapse rate of precipitation was calculated from the relation between mean annual precipitation and elevation. It is for 70 mm/100 m. The Soil and Water Assessment Tool (SWAT) model was applied using 5 precipitation gauges and 5 watersheds delineations features. Seven methodologies precipitation options input in the model were implemented for studying the sensitivity analysis of SWAT. Simulated and measured streamflow at the watershed outlet were evaluated. Results were not calibrated. SWAT is extremely sensitive to spatial distribution of rain gauges but it is slightly affected by watershed delineations.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133708485","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 : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552546
C. Shao, Kelu Sun, Zhenzhong Shao
Qualitative simulation is effective methods processing incomplete knowledge, how to represent qualitative knowledge and reduce spurious behaviors is its research emphasis. Contraposing the limitations of existing methods representing qualitative knowledge and filtering spurious behaviors, an approach is proposed to qualitatively model and simulate on the basis of normal cloud model. In this research, the cloud numeric characteristics and cloud measurement are introduced into this approach; consequently, it can more accurately assess the qualitative knowledge, and expand the variables expression and quantity space; meanwhile, it is constructed the means of modeling and simulation by adopting more amply portraying the system status, more intuitively transforming status and more accurately filtering spurious behaviors. Furthermore, in simulation algorithm, cloud measurement indices are employed to significantly select the successor status which can not be determined by existing constraint means. The results of simulation example demonstrate that our approach effectively improves the ability to filter spurious behaviors, and it is a feasible method.
{"title":"A qualitative modeling and simulation method based on cloud model","authors":"C. Shao, Kelu Sun, Zhenzhong Shao","doi":"10.1109/ICMSAO.2013.6552546","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552546","url":null,"abstract":"Qualitative simulation is effective methods processing incomplete knowledge, how to represent qualitative knowledge and reduce spurious behaviors is its research emphasis. Contraposing the limitations of existing methods representing qualitative knowledge and filtering spurious behaviors, an approach is proposed to qualitatively model and simulate on the basis of normal cloud model. In this research, the cloud numeric characteristics and cloud measurement are introduced into this approach; consequently, it can more accurately assess the qualitative knowledge, and expand the variables expression and quantity space; meanwhile, it is constructed the means of modeling and simulation by adopting more amply portraying the system status, more intuitively transforming status and more accurately filtering spurious behaviors. Furthermore, in simulation algorithm, cloud measurement indices are employed to significantly select the successor status which can not be determined by existing constraint means. The results of simulation example demonstrate that our approach effectively improves the ability to filter spurious behaviors, and it is a feasible method.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125700352","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 : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552659
Amdouni Hajer, Ladhari Talel
In this work, an iterated local search (ILS) and an iterated greedy local search (IGRLS) are proposed for minimizing total completion time in two machines permutation flowshop scheduling problem subject to time lag constraints. Computational experiments carried out on four sets of randomly generated instances reveal that the involvement of the new priority rule improve iterated local search and iterated greedy local search procedures.
{"title":"Iterated local search and iterated greedy local search for two machines permutation flowshop scheduling problem with time lag","authors":"Amdouni Hajer, Ladhari Talel","doi":"10.1109/ICMSAO.2013.6552659","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552659","url":null,"abstract":"In this work, an iterated local search (ILS) and an iterated greedy local search (IGRLS) are proposed for minimizing total completion time in two machines permutation flowshop scheduling problem subject to time lag constraints. Computational experiments carried out on four sets of randomly generated instances reveal that the involvement of the new priority rule improve iterated local search and iterated greedy local search procedures.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122386344","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 : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552604
A. Chellil, A. Settet, S. Lecheb, A. Nour, A. Yahiaoui, H. Kebir
This work presents a coupled motion of a helicopter rotor blade and stability analysis response in the hovering flight condition reinforced by GFRP fiber. The search for increasingly high performances in the field of the helicopters brings to the development of materials having higher rigidities and specific resistances. The use of the composite material blades which are not sensitive to corrosion, offers a good aeroelastic Stability. On the basis of aerodynamic model, the use of the finite element method makes it possible to develop a three dimensional model of the blade and to establish dynamic equations of the movement. Numerical calculations of the model developed with a three dimensional beam type, taking into account the aeroelastic interaction, prove that the composites offer better results compared to ordinary materials.
{"title":"Aeroelastic stability analysis of composite rotor blade","authors":"A. Chellil, A. Settet, S. Lecheb, A. Nour, A. Yahiaoui, H. Kebir","doi":"10.1109/ICMSAO.2013.6552604","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552604","url":null,"abstract":"This work presents a coupled motion of a helicopter rotor blade and stability analysis response in the hovering flight condition reinforced by GFRP fiber. The search for increasingly high performances in the field of the helicopters brings to the development of materials having higher rigidities and specific resistances. The use of the composite material blades which are not sensitive to corrosion, offers a good aeroelastic Stability. On the basis of aerodynamic model, the use of the finite element method makes it possible to develop a three dimensional model of the blade and to establish dynamic equations of the movement. Numerical calculations of the model developed with a three dimensional beam type, taking into account the aeroelastic interaction, prove that the composites offer better results compared to ordinary materials.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124909477","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 : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552681
D. Arar, M. Meguellat, M. Chahdi
In this paper, the key electrical parameters behavior of Gate Stack Double Gate (GSDG) MOSFET are studied and optimized using multi-objective genetic algorithms (MOGAs) for nanoscale CMOS-based applications. The transconductance and the OFF-current are the key electrical parameters which have been determined by the analytical explicit expressions in saturation and subthreshold regions. The optimized design is used to investigate and demonstrate the impact of the proposed technique on the nanoelectronic devices. In this context, we proposed to investigate the electrical performance of the both circuits, the ring oscillator and the inverter gate, in order to demonstrate the efficiency of the proposed method on the integrated circuit design. In this study an important improvement of the oscillation frequency and gain voltage have been recorded. The obtained results make the proposed design an alternative solution for nanoelectronics applications.
{"title":"An optimized GSDG MOSFET design for nanoscale circuit applications","authors":"D. Arar, M. Meguellat, M. Chahdi","doi":"10.1109/ICMSAO.2013.6552681","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552681","url":null,"abstract":"In this paper, the key electrical parameters behavior of Gate Stack Double Gate (GSDG) MOSFET are studied and optimized using multi-objective genetic algorithms (MOGAs) for nanoscale CMOS-based applications. The transconductance and the OFF-current are the key electrical parameters which have been determined by the analytical explicit expressions in saturation and subthreshold regions. The optimized design is used to investigate and demonstrate the impact of the proposed technique on the nanoelectronic devices. In this context, we proposed to investigate the electrical performance of the both circuits, the ring oscillator and the inverter gate, in order to demonstrate the efficiency of the proposed method on the integrated circuit design. In this study an important improvement of the oscillation frequency and gain voltage have been recorded. The obtained results make the proposed design an alternative solution for nanoelectronics applications.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125528063","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 : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552680
T. Bentrcia, F. Djeffal, D. Arar, M. Meguellati
In this paper, we present a new approach based on fuzzy logic for the modeling of the subthreshold swing factor by using the Adaptive Network Fuzzy Inference System (ANFIS). It is also assumed that the nanoscale Double Gate (DG) MOSFET device under study is subject to both hot-carrier and quantum effects. Afterward, an analytical expression is deduced for the transconductance parameter from the subthreshold swing fuzzy model. The developed framework is then adopted as a basis of studying the degradation mechanism of a single transistor amplifier. The obtained results show good agreement with the numerical simulations provided by ATLAS 2D-simulator. The proposed model presented in this paper offers a simple and accurate approach to study the nanoscale CMOS-based circuit behavior including the hot-carrier damage and quantum effects.
{"title":"ANFIS-based computation to study the nanoscale circuit including the hot-carrier and quantum confinement effects","authors":"T. Bentrcia, F. Djeffal, D. Arar, M. Meguellati","doi":"10.1109/ICMSAO.2013.6552680","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552680","url":null,"abstract":"In this paper, we present a new approach based on fuzzy logic for the modeling of the subthreshold swing factor by using the Adaptive Network Fuzzy Inference System (ANFIS). It is also assumed that the nanoscale Double Gate (DG) MOSFET device under study is subject to both hot-carrier and quantum effects. Afterward, an analytical expression is deduced for the transconductance parameter from the subthreshold swing fuzzy model. The developed framework is then adopted as a basis of studying the degradation mechanism of a single transistor amplifier. The obtained results show good agreement with the numerical simulations provided by ATLAS 2D-simulator. The proposed model presented in this paper offers a simple and accurate approach to study the nanoscale CMOS-based circuit behavior including the hot-carrier damage and quantum effects.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127307811","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 : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552620
A. El-Sinawi, H. El-Baz, N. Amer
The paper utilizes techniques commonly used in the system identification dynamic systems behavior using output-input data to an unknown dynamic system. The identification techniques are based on nine inputs and one output. The system is applied to a financial time series that represent the historical prices of gold. The nine inputs are the technical indicators calculates form the historical data of open, high, low, close, and volume of trading the gold while the output is the forecasted value of the closing price of gold. Nonlinear Identification techniques used in this paper include wavelet Network, Sigmoid Network and Tree Partition. The purpose of the identification techniques is come up with a dynamic system model “either a transfer function or State-Space model” that is capable of predicting the values of the output “close”. The data is split into estimation set and verification set. The estimation group is used in determining the best possible model that can predict the verification set of data. The highest match obtained was 92%. Details on the modeling techniques as well as the effect of each input on the output are also presented in this paper. Simulation results are utilized to examine the accuracy and integrity of the model proposed.
{"title":"Multi-input single-output (MISO) random system modeling using methods of system identification","authors":"A. El-Sinawi, H. El-Baz, N. Amer","doi":"10.1109/ICMSAO.2013.6552620","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552620","url":null,"abstract":"The paper utilizes techniques commonly used in the system identification dynamic systems behavior using output-input data to an unknown dynamic system. The identification techniques are based on nine inputs and one output. The system is applied to a financial time series that represent the historical prices of gold. The nine inputs are the technical indicators calculates form the historical data of open, high, low, close, and volume of trading the gold while the output is the forecasted value of the closing price of gold. Nonlinear Identification techniques used in this paper include wavelet Network, Sigmoid Network and Tree Partition. The purpose of the identification techniques is come up with a dynamic system model “either a transfer function or State-Space model” that is capable of predicting the values of the output “close”. The data is split into estimation set and verification set. The estimation group is used in determining the best possible model that can predict the verification set of data. The highest match obtained was 92%. Details on the modeling techniques as well as the effect of each input on the output are also presented in this paper. Simulation results are utilized to examine the accuracy and integrity of the model proposed.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129516477","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 : 2013-04-28DOI: 10.1109/ICMSAO.2013.6552595
A. Belaid, Martel Jean-Marc, Hassaine Amal
The existing formulations of the Interactive Goal Programming (IGP) model do not explicitly integrate the preferences of the Decision-Maker (DM). Moreover, these formulations require too much information from the DM. The aim of this paper is to present an IGP model based on the concept of Satisfaction Functions where the elucidation of the DM's preferences will be performed through a learning process. At any time of the decision-making process, the DM can revise the parameters of the decision-making situation including the satisfaction functions. This framework allows the DM to evolve towards a solution of the best compromise.
{"title":"An Interactive Goal Programming model based on the Satisfaction Functions","authors":"A. Belaid, Martel Jean-Marc, Hassaine Amal","doi":"10.1109/ICMSAO.2013.6552595","DOIUrl":"https://doi.org/10.1109/ICMSAO.2013.6552595","url":null,"abstract":"The existing formulations of the Interactive Goal Programming (IGP) model do not explicitly integrate the preferences of the Decision-Maker (DM). Moreover, these formulations require too much information from the DM. The aim of this paper is to present an IGP model based on the concept of Satisfaction Functions where the elucidation of the DM's preferences will be performed through a learning process. At any time of the decision-making process, the DM can revise the parameters of the decision-making situation including the satisfaction functions. This framework allows the DM to evolve towards a solution of the best compromise.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129705356","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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