Pub Date : 2013-07-04DOI: 10.1109/ICSSE.2013.6614638
Chi-Wu Huang, Shao-Wei Kuo, C. Chang
This paper presents an 8-bit AES direct FPGA hardware implementation of CFB/OFB operations without using the Block RAM (BRAM). The 8-bit AES core is then embedded through a microcontroller to interface with Bluetooth wireless for performing encryption or decryption. Two sets of the embedded systems are configured together to experiment the AES operation of the image encryption and decryption through wireless communication achieved the baud rate of 0.23 Megabits per second (Mbps). CFB/OFB operations have two advantages over ECB operation; one is the low area circuit design, and the other is the complete hiding of input patterns in plain image with identical colors. Though CFB/OFB implementation without BRAM has a little larger slice area then the implementation with RAM, yet the non-BRAM in ASIC implementation achieved only 2.2K gates, synthesized using 0.18μm technology, which is the smallest gate count for the 8-bit ASIC implementation ever proposed.
{"title":"Embedded 8-bit AES in wireless Bluetooth application","authors":"Chi-Wu Huang, Shao-Wei Kuo, C. Chang","doi":"10.1109/ICSSE.2013.6614638","DOIUrl":"https://doi.org/10.1109/ICSSE.2013.6614638","url":null,"abstract":"This paper presents an 8-bit AES direct FPGA hardware implementation of CFB/OFB operations without using the Block RAM (BRAM). The 8-bit AES core is then embedded through a microcontroller to interface with Bluetooth wireless for performing encryption or decryption. Two sets of the embedded systems are configured together to experiment the AES operation of the image encryption and decryption through wireless communication achieved the baud rate of 0.23 Megabits per second (Mbps). CFB/OFB operations have two advantages over ECB operation; one is the low area circuit design, and the other is the complete hiding of input patterns in plain image with identical colors. Though CFB/OFB implementation without BRAM has a little larger slice area then the implementation with RAM, yet the non-BRAM in ASIC implementation achieved only 2.2K gates, synthesized using 0.18μm technology, which is the smallest gate count for the 8-bit ASIC implementation ever proposed.","PeriodicalId":124317,"journal":{"name":"2013 International Conference on System Science and Engineering (ICSSE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124741126","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 : 2013-07-04DOI: 10.1109/ICSSE.2013.6614639
E. H. Gurban, G. Andreescu
The mathematical models of the greenhouse environment are MIMO systems, characterized by a high coupling, nonlinearity, parameter variation and they are highly influenced by disturbances. This paper uses a well-known greenhouse climate model with measurable external disturbances and a feedback-feedforward linearization, decoupling and disturbance compensations technique. Greenhouse climate model parameters/disturbances, which are susceptible to wrong estimation, are identified, i.e., heat transfer coefficient (UA), shading and leaf area index coefficient (α), and intercepted solar radiant energy (Si). The system response, in the case of nominal model and considering different levels of model uncertainty, are compared. Significant quality indicator degradations for setpoint step responses leads to reconsider the control structure using two degree of freedom (2DoF) PID controllers. Four 2DoF PI/PID tuning technique are compared at nominal condition and under parameter variations showing good performance.
{"title":"Employing 2DoF PID controllers to improve greenhouse climate system robustness","authors":"E. H. Gurban, G. Andreescu","doi":"10.1109/ICSSE.2013.6614639","DOIUrl":"https://doi.org/10.1109/ICSSE.2013.6614639","url":null,"abstract":"The mathematical models of the greenhouse environment are MIMO systems, characterized by a high coupling, nonlinearity, parameter variation and they are highly influenced by disturbances. This paper uses a well-known greenhouse climate model with measurable external disturbances and a feedback-feedforward linearization, decoupling and disturbance compensations technique. Greenhouse climate model parameters/disturbances, which are susceptible to wrong estimation, are identified, i.e., heat transfer coefficient (UA), shading and leaf area index coefficient (α), and intercepted solar radiant energy (Si). The system response, in the case of nominal model and considering different levels of model uncertainty, are compared. Significant quality indicator degradations for setpoint step responses leads to reconsider the control structure using two degree of freedom (2DoF) PID controllers. Four 2DoF PI/PID tuning technique are compared at nominal condition and under parameter variations showing good performance.","PeriodicalId":124317,"journal":{"name":"2013 International Conference on System Science and Engineering (ICSSE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129157151","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 : 2013-07-04DOI: 10.1109/ICSSE.2013.6614631
Yeong-Hwa Chang, Cheng-Yuan Yang, W. Chan, Chia-Wen Chang, C. Tao
This paper focuses on the design of a formation controller for multi-robot dynamic systems using adaptive fuzzy terminal sliding-mode techniques. The dynamic model of differential wheeled robots is considered. To achieve finite time leader-follower formation control, a fuzzy terminal sliding-mode controller is derived based on graph theory and consensus algorithm. Moreover, an adaptive law is provided to estimate the bounds of unknown uncertainties. Both simulation and experimental results are applied to validate the formation performance. It is indicated that the proposed adaptive control scheme can provide better leader-following formation responses of networked multiple robots.
{"title":"Leader-following formation control of multi-robot systems with adaptive fuzzy terminal sliding-mode controller","authors":"Yeong-Hwa Chang, Cheng-Yuan Yang, W. Chan, Chia-Wen Chang, C. Tao","doi":"10.1109/ICSSE.2013.6614631","DOIUrl":"https://doi.org/10.1109/ICSSE.2013.6614631","url":null,"abstract":"This paper focuses on the design of a formation controller for multi-robot dynamic systems using adaptive fuzzy terminal sliding-mode techniques. The dynamic model of differential wheeled robots is considered. To achieve finite time leader-follower formation control, a fuzzy terminal sliding-mode controller is derived based on graph theory and consensus algorithm. Moreover, an adaptive law is provided to estimate the bounds of unknown uncertainties. Both simulation and experimental results are applied to validate the formation performance. It is indicated that the proposed adaptive control scheme can provide better leader-following formation responses of networked multiple robots.","PeriodicalId":124317,"journal":{"name":"2013 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130245877","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 : 2013-07-04DOI: 10.1109/ICSSE.2013.6614653
K. Thorsen, P. Ruoff, T. Drengstig
Identifying biophysical mechanisms that provide regulation and control is essential for our understanding of living systems. However, the distance between life sciences and control theory can be a challenge. Here, we describe, and show the control theoretic properties of a set of biochemical reaction schemes, so-called controller motifs. These controller motifs have similarities with industrial control systems, and have properties such as setpoints, integral gain, and setpoint weight. Once identified, a system understanding of such mechanisms can help synthetic biologists in selecting suitable targets to alter in construction of new biological systems. From a control theoretic viewpoint we identify which biochemical rate constant or property affect the setpoint and the dynamic response of a biophysical controller motif. We also show how a biological system consisting of two antagonistic regulatory mechanisms can be compared to a control engineering problem of controlling the water level in a tank. The similarity between biological systems and control engineering provides theoretical insight, and clears the way to an engineer's approach to synthetic biology.
{"title":"Control theoretic properties of physiological controller motifs","authors":"K. Thorsen, P. Ruoff, T. Drengstig","doi":"10.1109/ICSSE.2013.6614653","DOIUrl":"https://doi.org/10.1109/ICSSE.2013.6614653","url":null,"abstract":"Identifying biophysical mechanisms that provide regulation and control is essential for our understanding of living systems. However, the distance between life sciences and control theory can be a challenge. Here, we describe, and show the control theoretic properties of a set of biochemical reaction schemes, so-called controller motifs. These controller motifs have similarities with industrial control systems, and have properties such as setpoints, integral gain, and setpoint weight. Once identified, a system understanding of such mechanisms can help synthetic biologists in selecting suitable targets to alter in construction of new biological systems. From a control theoretic viewpoint we identify which biochemical rate constant or property affect the setpoint and the dynamic response of a biophysical controller motif. We also show how a biological system consisting of two antagonistic regulatory mechanisms can be compared to a control engineering problem of controlling the water level in a tank. The similarity between biological systems and control engineering provides theoretical insight, and clears the way to an engineer's approach to synthetic biology.","PeriodicalId":124317,"journal":{"name":"2013 International Conference on System Science and Engineering (ICSSE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126224422","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}
This paper proposes a novel single-switch high-power-factor LED driver that is obtained by integrating a buck-boost converter and a flyback converter. Both converters share the same active switch. It results in reduction of power-conversion processes, leading to improving the circuit efficiency. The buck-boost converter performs the function of power-factor correction (PFC). The buck-boost converter can wave shape the waveform of the line current to be as the same as that of the input-line voltage when it operates at discontinuous-conduction mode. A nearly unity power factor and low total current harmonic distortion can be achieved. The flyback converter plays the role of the dc/dc converter that provides an isolated output voltage with very low voltage ripple to drive high-brightness light-emitting diodes. Since only one active switch is required, the proposed circuit is with simple control. Besides, it can meet the design goals of high power factor and low product cost.
{"title":"Analysis and design of a single-switch HPF AC/DC converter for driving power LEDs","authors":"Hung-Liang Cheng, Yong-Nong Chang, Chun‐An Cheng, Chao Chen","doi":"10.1109/ICSSE.2013.6614709","DOIUrl":"https://doi.org/10.1109/ICSSE.2013.6614709","url":null,"abstract":"This paper proposes a novel single-switch high-power-factor LED driver that is obtained by integrating a buck-boost converter and a flyback converter. Both converters share the same active switch. It results in reduction of power-conversion processes, leading to improving the circuit efficiency. The buck-boost converter performs the function of power-factor correction (PFC). The buck-boost converter can wave shape the waveform of the line current to be as the same as that of the input-line voltage when it operates at discontinuous-conduction mode. A nearly unity power factor and low total current harmonic distortion can be achieved. The flyback converter plays the role of the dc/dc converter that provides an isolated output voltage with very low voltage ripple to drive high-brightness light-emitting diodes. Since only one active switch is required, the proposed circuit is with simple control. Besides, it can meet the design goals of high power factor and low product cost.","PeriodicalId":124317,"journal":{"name":"2013 International Conference on System Science and Engineering (ICSSE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128779754","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 : 2013-07-04DOI: 10.1109/ICSSE.2013.6614692
E. Erkek, T. Tuncer
Linear Feedback Shift Register (LFSR) is mostly used in the implementation of Pseudo Random Number Generator (PRNG). LFSR based on PRNG techniques are used for many applications such as generating data, encryption keys and generating padding bits. Although a majority of random number generators have been implemented in software level, hardware implementation is becoming more and more popular due to the advent of faster and high density Field Programmable Gate Arrays (FPGA). In this paper, we propose implementations of FPGA Shrinking Generator (SG) and Alternating Step Generator (ASG) using LFSR based random number generation. Both systems have been implemented on Altera Cyclone IV board, and random number has been generated in the real time. Generated numbers have been tested according to National Institute of Standards and Technology (NIST) statistical test. According to the results, both SG and ASG have been shown to able to use in the cryptographic systems.
{"title":"The implementation of ASG and SG Random Number Generators","authors":"E. Erkek, T. Tuncer","doi":"10.1109/ICSSE.2013.6614692","DOIUrl":"https://doi.org/10.1109/ICSSE.2013.6614692","url":null,"abstract":"Linear Feedback Shift Register (LFSR) is mostly used in the implementation of Pseudo Random Number Generator (PRNG). LFSR based on PRNG techniques are used for many applications such as generating data, encryption keys and generating padding bits. Although a majority of random number generators have been implemented in software level, hardware implementation is becoming more and more popular due to the advent of faster and high density Field Programmable Gate Arrays (FPGA). In this paper, we propose implementations of FPGA Shrinking Generator (SG) and Alternating Step Generator (ASG) using LFSR based random number generation. Both systems have been implemented on Altera Cyclone IV board, and random number has been generated in the real time. Generated numbers have been tested according to National Institute of Standards and Technology (NIST) statistical test. According to the results, both SG and ASG have been shown to able to use in the cryptographic systems.","PeriodicalId":124317,"journal":{"name":"2013 International Conference on System Science and Engineering (ICSSE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130846498","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 : 2013-07-04DOI: 10.1109/ICSSE.2013.6614711
Yu-hao Chang, Wen-Hsien Ho, Hon-Yi Shi, J. Chou
A TS fuzzy neural network (TSFNN) was compared with an artificial neural network (ANN) in terms of accuracy in predicting the combined effects of temperature, pH level, sodium chloride level and sodium nitrite level on the growth rate of Leuconostoc mesenteroides. The TSFNN and ANN models were compared in terms of six statistical indices calculated by comparing their prediction results with actual data. The learning-based systems obtained encouraging prediction results. Sensitivity analyses of the four environmental factors showed that temperature and, to a lesser extent, NaCl had the most influence on accuracy in predicting the growth rate of Leuconostoc mesenteroides. The observed effectiveness of TSFNN for modeling microbial kinetic parameters confirms its potential use as a supplemental tool in predictive mycology. Comparisons of the six statistical indices showed that the TSFNN model was better than ANN model in predicting the four kinetic parameters.
{"title":"Prediction and sensitivity analysis by TS fuzzy neural network for fungal growth in food products","authors":"Yu-hao Chang, Wen-Hsien Ho, Hon-Yi Shi, J. Chou","doi":"10.1109/ICSSE.2013.6614711","DOIUrl":"https://doi.org/10.1109/ICSSE.2013.6614711","url":null,"abstract":"A TS fuzzy neural network (TSFNN) was compared with an artificial neural network (ANN) in terms of accuracy in predicting the combined effects of temperature, pH level, sodium chloride level and sodium nitrite level on the growth rate of Leuconostoc mesenteroides. The TSFNN and ANN models were compared in terms of six statistical indices calculated by comparing their prediction results with actual data. The learning-based systems obtained encouraging prediction results. Sensitivity analyses of the four environmental factors showed that temperature and, to a lesser extent, NaCl had the most influence on accuracy in predicting the growth rate of Leuconostoc mesenteroides. The observed effectiveness of TSFNN for modeling microbial kinetic parameters confirms its potential use as a supplemental tool in predictive mycology. Comparisons of the six statistical indices showed that the TSFNN model was better than ANN model in predicting the four kinetic parameters.","PeriodicalId":124317,"journal":{"name":"2013 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130993904","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 : 2013-07-04DOI: 10.1109/ICSSE.2013.6614659
Chien-Kai Tseng, I. Li, Yi-Hsing Chien, Ming-Chang Chen, Wei-Yen Wang
Currently autonomous mobile robots offer a diversity of types and functions. This paper mainly emphasizes on a functionality and practicality of self-made tracked robot, which can move autonomously on a bumpy road, such as stairs and slopes. With information on distance obtained by Kinect sensor, the tracked robot is able to identify different types of roads. In addition, we design four modes, including exploration mode, alignment mode, calculating tilt angle mode and climbing mode, to achieve the tasks of identifying and climbing stairs and slopes.
{"title":"Autonomous stair detection and climbing systems for a tracked robot","authors":"Chien-Kai Tseng, I. Li, Yi-Hsing Chien, Ming-Chang Chen, Wei-Yen Wang","doi":"10.1109/ICSSE.2013.6614659","DOIUrl":"https://doi.org/10.1109/ICSSE.2013.6614659","url":null,"abstract":"Currently autonomous mobile robots offer a diversity of types and functions. This paper mainly emphasizes on a functionality and practicality of self-made tracked robot, which can move autonomously on a bumpy road, such as stairs and slopes. With information on distance obtained by Kinect sensor, the tracked robot is able to identify different types of roads. In addition, we design four modes, including exploration mode, alignment mode, calculating tilt angle mode and climbing mode, to achieve the tasks of identifying and climbing stairs and slopes.","PeriodicalId":124317,"journal":{"name":"2013 International Conference on System Science and Engineering (ICSSE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130090000","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 : 2013-07-04DOI: 10.1109/ICSSE.2013.6614637
Gwo-Ruey Yu, Jian-Fu Chen
A novel design of dc-bus voltage regulation using fuzzy logic is presented in this paper. The dc-bus voltage is regulated for a solar energy system which includes a bi-directional inverter, photovoltaic panels, a maximum power point tracker, and dc loads. In grid-connected mode, the bi-directional inverter can track the reference ac current signal. In rectification mode, the bi-directional inverter can control the power flow. A maximum power point tracker is designed by the perturbation and observation method. Furthermore, the fuzzy logic system is developed to control the dc-bus voltage for load variation. Simulation results have validated the effectiveness of this design by MATLAB/Simulink.
{"title":"Fuzzy regulation of DC-bus voltage for solar energy system","authors":"Gwo-Ruey Yu, Jian-Fu Chen","doi":"10.1109/ICSSE.2013.6614637","DOIUrl":"https://doi.org/10.1109/ICSSE.2013.6614637","url":null,"abstract":"A novel design of dc-bus voltage regulation using fuzzy logic is presented in this paper. The dc-bus voltage is regulated for a solar energy system which includes a bi-directional inverter, photovoltaic panels, a maximum power point tracker, and dc loads. In grid-connected mode, the bi-directional inverter can track the reference ac current signal. In rectification mode, the bi-directional inverter can control the power flow. A maximum power point tracker is designed by the perturbation and observation method. Furthermore, the fuzzy logic system is developed to control the dc-bus voltage for load variation. Simulation results have validated the effectiveness of this design by MATLAB/Simulink.","PeriodicalId":124317,"journal":{"name":"2013 International Conference on System Science and Engineering (ICSSE)","volume":"8 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116933781","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 : 2013-07-04DOI: 10.1109/ICSSE.2013.6614665
Ching-Chih Tsai, Ching-Hang Tsai
This paper presents an adaptive robust motion control using fuzzy wavelet neural networks (FWNN) for a electric two-wheeled robotic vehicles (ETWRV). A mechatronic system structure driven by two DC motors is briefly described, and its nonlinear mathematical modeling incorporating the friction between the wheels and the motion surface is derived. With the decomposition of the overall system into two subsystems: yaw control and inverted pendulum, two intelligent adaptive FWNN controllers are proposed to achieve self-balancing, speed tracking and yaw motion control. Simulation results indicate that the proposed controllers are capable of providing appropriate control actions to steer the vehicle in desired manners.
{"title":"Adaptive robust motion control using fuzzy wavelet neural networks for uncertain electric two-wheeled robotic vehicles","authors":"Ching-Chih Tsai, Ching-Hang Tsai","doi":"10.1109/ICSSE.2013.6614665","DOIUrl":"https://doi.org/10.1109/ICSSE.2013.6614665","url":null,"abstract":"This paper presents an adaptive robust motion control using fuzzy wavelet neural networks (FWNN) for a electric two-wheeled robotic vehicles (ETWRV). A mechatronic system structure driven by two DC motors is briefly described, and its nonlinear mathematical modeling incorporating the friction between the wheels and the motion surface is derived. With the decomposition of the overall system into two subsystems: yaw control and inverted pendulum, two intelligent adaptive FWNN controllers are proposed to achieve self-balancing, speed tracking and yaw motion control. Simulation results indicate that the proposed controllers are capable of providing appropriate control actions to steer the vehicle in desired manners.","PeriodicalId":124317,"journal":{"name":"2013 International Conference on System Science and Engineering (ICSSE)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124218387","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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