Pub Date : 2018-11-01DOI: 10.1109/icass.2018.8651978
K. Gherfi, H. Bendjama, Y. D. leksir, M. Tria, Abdelmalek Lazhar, R. Boulkroune, Daoud Idiou, L. Cherrad
For production of steel, the metallurgical domain is an important domain in industry, the final form of steel destined for several industrial sectors (mechanical, electrical, civil engineering, each industries field needs special shapes, in order to obtain these shapes, it is necessary to have an important phase, which is called cold or hot rolling. Our study is fixed on the detection of defects in an electric transformer that feeds the hot rolling, and since the rolling operation is a very important phase, preventive maintenance must always be done, and in this case infrared thermography is necessary to inspect electrical transformers, and to detect and specify the very hot areas in these transformers, Processing the images makes the location of defects easier and also allows its classification. Classification methods such as neural networks and support vector machines are used.
{"title":"Classification in infrared image of electric transformer in hot rolling","authors":"K. Gherfi, H. Bendjama, Y. D. leksir, M. Tria, Abdelmalek Lazhar, R. Boulkroune, Daoud Idiou, L. Cherrad","doi":"10.1109/icass.2018.8651978","DOIUrl":"https://doi.org/10.1109/icass.2018.8651978","url":null,"abstract":"For production of steel, the metallurgical domain is an important domain in industry, the final form of steel destined for several industrial sectors (mechanical, electrical, civil engineering, each industries field needs special shapes, in order to obtain these shapes, it is necessary to have an important phase, which is called cold or hot rolling. Our study is fixed on the detection of defects in an electric transformer that feeds the hot rolling, and since the rolling operation is a very important phase, preventive maintenance must always be done, and in this case infrared thermography is necessary to inspect electrical transformers, and to detect and specify the very hot areas in these transformers, Processing the images makes the location of defects easier and also allows its classification. Classification methods such as neural networks and support vector machines are used.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123708339","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 : 2018-11-01DOI: 10.1109/ICASS.2018.8652039
M. Wahiba, S. Abdellah, B. Aichouche, M. S. Azzaz
Actually, the HEVC (High Efficiency Video Coding) is becoming the most important consumer application platforms. Compared with its predecessor AVC (advanced video codec) standard, it can support the UHD (Ultra High Definition) picture at 120 fps. H.265 adopts many advanced techniques such as SAO (Sample Adaptive Offset) filter, intra and inter prediction and CABAC entropy coding. CABAC (Context-based adaptive binary arithmetic coding) is adopted by AVC and HEVC standards. In H.265 CABAC, the bypassed syntax elements have direct impact on the total bite rate. This point is verified, estimated and simulated in our work at the small unit level on MATLAB software. Moreover, we propose hardware design of multiple bypass bins H.265 CABAC encoder. This architecture is implemented on different FPGA devices. The synthesis results demonstrate that our proposed architecture can process 1 to 5 bypass bins per cycle to ensure a good compromise between the throughput and the hardware cost.
实际上，HEVC (High Efficiency Video Coding)正在成为最重要的消费级应用平台。与之前的AVC(高级视频编解码器)标准相比，它可以支持120fps的UHD(超高清)图像。H.265采用了SAO (Sample Adaptive Offset，采样自适应偏移)滤波、帧内和帧间预测、CABAC熵编码等先进技术。AVC和HEVC标准采用了基于上下文的自适应二进制算术编码(CABAC)。在H.265 CABAC中，被绕过的语法元素对总比特率有直接影响。我们在小单元级的工作中，用MATLAB软件对这一点进行了验证、估计和仿真。在此基础上，提出了H.265 CABAC编码器的硬件设计。该架构可在不同的FPGA设备上实现。综合结果表明，我们提出的架构可以每个周期处理1到5个旁路箱，以确保吞吐量和硬件成本之间的良好折衷。
{"title":"Multiple Bypass Bins FPGA Implementation of H.256 CABAC Encoder","authors":"M. Wahiba, S. Abdellah, B. Aichouche, M. S. Azzaz","doi":"10.1109/ICASS.2018.8652039","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8652039","url":null,"abstract":"Actually, the HEVC (High Efficiency Video Coding) is becoming the most important consumer application platforms. Compared with its predecessor AVC (advanced video codec) standard, it can support the UHD (Ultra High Definition) picture at 120 fps. H.265 adopts many advanced techniques such as SAO (Sample Adaptive Offset) filter, intra and inter prediction and CABAC entropy coding. CABAC (Context-based adaptive binary arithmetic coding) is adopted by AVC and HEVC standards. In H.265 CABAC, the bypassed syntax elements have direct impact on the total bite rate. This point is verified, estimated and simulated in our work at the small unit level on MATLAB software. Moreover, we propose hardware design of multiple bypass bins H.265 CABAC encoder. This architecture is implemented on different FPGA devices. The synthesis results demonstrate that our proposed architecture can process 1 to 5 bypass bins per cycle to ensure a good compromise between the throughput and the hardware cost.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121332895","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}
The design of the Energy Storage System (ESS) is a very complex task which consists to define the optimum of the weight, volume, cost and ensures as possible longer lifecycle of the whole system. The aim of this paper focuses on studying the influence of battery technologies on the ESS design with tacking into account the auxiliaries’ components. Also we confirm via this work that the additional weight of the components increases the power and energy consumption. For this reason, it is necessary to prove that the designed storing system can guarantee the vehicle supply after the integration of the hydrogen tank, fuel cell system and batteries.Furthermore, the effect of the battery’s technology on the storage system characteristics is carried out using numerical simulation. The sizing results show that considerable gains have been achieved in terms of cost, weight and volume using Ultra High Power (UHP) technology.
{"title":"Influence of Battery Technologies on Sizing of Hybrid Fuel Cell Sources For Automotive Applications","authors":"Bendjedia Bachir, Rizoug Nassim, Boukhnifer Moussa","doi":"10.1109/ICASS.2018.8652070","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8652070","url":null,"abstract":"The design of the Energy Storage System (ESS) is a very complex task which consists to define the optimum of the weight, volume, cost and ensures as possible longer lifecycle of the whole system. The aim of this paper focuses on studying the influence of battery technologies on the ESS design with tacking into account the auxiliaries’ components. Also we confirm via this work that the additional weight of the components increases the power and energy consumption. For this reason, it is necessary to prove that the designed storing system can guarantee the vehicle supply after the integration of the hydrogen tank, fuel cell system and batteries.Furthermore, the effect of the battery’s technology on the storage system characteristics is carried out using numerical simulation. The sizing results show that considerable gains have been achieved in terms of cost, weight and volume using Ultra High Power (UHP) technology.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133952451","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 : 2018-11-01DOI: 10.1109/ICASS.2018.8651970
Abdelaziz Ouadah
Pipelines are the most important way to transport large amounts of dangerous substances as oil and gas, through long distances, due to their advantages in terms of safety and low cost. However, failures and leaks in pipelines may happen and sometimes they generate catastrophic consequences. In this paper we propose an approach for the risk assessment of oil and gas pipeline defects leveraging machines learning algorithms and multi-criteria decision methods (MCDM), with the objective of accompanying decision-makers for prioritizing risk mitigation activities. The pipeline defects risk assessment approach proposed is based on some machines learning algorithms, which allows to cluster ILI (In Line Inspection) data performed by smart pigs in a group of clusters by using K-means method, then, two classifications methods (decision trees and neural network) are applied on clusters in order to construct a classification model of defects risk on pipe in three level (High, Medium and Low) according to theirs criticizes. The discovered models are assessed using cross validation, which allows choosing a model based on a decision tree as a pipeline defects risk classification and prediction model. For scheduling maintenance and reparation operations we apply the multi-criteria decision method AHP (Analytical Hierarchy Process) in order to rank-order defects which belong to the High class according to theirs criticizes degree.
{"title":"Pipeline Defects Risk Assessment Using Machine Learning and Analytical Hierarchy Process","authors":"Abdelaziz Ouadah","doi":"10.1109/ICASS.2018.8651970","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8651970","url":null,"abstract":"Pipelines are the most important way to transport large amounts of dangerous substances as oil and gas, through long distances, due to their advantages in terms of safety and low cost. However, failures and leaks in pipelines may happen and sometimes they generate catastrophic consequences. In this paper we propose an approach for the risk assessment of oil and gas pipeline defects leveraging machines learning algorithms and multi-criteria decision methods (MCDM), with the objective of accompanying decision-makers for prioritizing risk mitigation activities. The pipeline defects risk assessment approach proposed is based on some machines learning algorithms, which allows to cluster ILI (In Line Inspection) data performed by smart pigs in a group of clusters by using K-means method, then, two classifications methods (decision trees and neural network) are applied on clusters in order to construct a classification model of defects risk on pipe in three level (High, Medium and Low) according to theirs criticizes. The discovered models are assessed using cross validation, which allows choosing a model based on a decision tree as a pipeline defects risk classification and prediction model. For scheduling maintenance and reparation operations we apply the multi-criteria decision method AHP (Analytical Hierarchy Process) in order to rank-order defects which belong to the High class according to theirs criticizes degree.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130841759","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 : 2018-11-01DOI: 10.1109/ICASS.2018.8651990
H. Bencherif, L. Dehimi, F. Pezzimenti, A. Yousfi
This paper deals with the analytical investigation of light trapping effects on the performance of silicon-germanium (SiGe)-based solar cells in order to optimize both the texture morphology and the antireflection coating (ARC) design parameters. In particular, the model allows to improve the electrical efficiency of ARC/c-Si/SiGe/c-Si heterojunction structures by taking into account also the back surface field (BSF) layer. A multi-objective genetic algorithm (MOGA) has been used as global optimization approach including triangular grating morphology and fundamental device parameters such as the Ge mole fraction, and the doping and thickness of the different device regions.
{"title":"Analytical model for the light trapping effect on ZnO:Al/c-Si/SiGe/c-Si solar cells with an optimized design","authors":"H. Bencherif, L. Dehimi, F. Pezzimenti, A. Yousfi","doi":"10.1109/ICASS.2018.8651990","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8651990","url":null,"abstract":"This paper deals with the analytical investigation of light trapping effects on the performance of silicon-germanium (SiGe)-based solar cells in order to optimize both the texture morphology and the antireflection coating (ARC) design parameters. In particular, the model allows to improve the electrical efficiency of ARC/c-Si/SiGe/c-Si heterojunction structures by taking into account also the back surface field (BSF) layer. A multi-objective genetic algorithm (MOGA) has been used as global optimization approach including triangular grating morphology and fundamental device parameters such as the Ge mole fraction, and the doping and thickness of the different device regions.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133329502","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 : 2018-11-01DOI: 10.1109/ICASS.2018.8652058
Billel Essaid, N. Batel
This paper presents a new approach of coding music signals for cochlear implants; the proposed method is based on a Gammatone filter bank and an unsupervised single channel separation of non stationary signals algorithm. This method can increase recognition of musical instrument by cochlear implant users because the stimulus is separated for each instrument. Experimental tests show that the proposed method for cochlear stimulation is efficient with a mixture of signals.
{"title":"New method based on single-channel separation algorithm using Gammatone filterbank for cochlear implants","authors":"Billel Essaid, N. Batel","doi":"10.1109/ICASS.2018.8652058","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8652058","url":null,"abstract":"This paper presents a new approach of coding music signals for cochlear implants; the proposed method is based on a Gammatone filter bank and an unsupervised single channel separation of non stationary signals algorithm. This method can increase recognition of musical instrument by cochlear implant users because the stimulus is separated for each instrument. Experimental tests show that the proposed method for cochlear stimulation is efficient with a mixture of signals.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132239801","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 : 2018-11-01DOI: 10.1109/ICASS.2018.8652048
Y. Ammi, L. Khaouane, S. Hanini
This work explained the use of neural networks for modeling the retention of organic molecules by membranes taking to consideration the sodium chloride salt rejection. A database of 436 points was used to build the neural networks. The neural networks model described by a structure (twelve neuron in the input layer, eleven neurons in hidden layer and one neuron in the output layer) is built with the purpose of modeling the retention of organic molecules. Ideal agreements between the calculated and experimental retentions were gained by the neural networks model; the correlation coefficients “R” were found: 0.9669, 0.9539, 0.9836, and 0.9663 for the training, validation, testing, and total data base correspondingly.
{"title":"Neural network for modeling the retention of organic molecules by membranes taking to consideration the sodium chloride salt rejection","authors":"Y. Ammi, L. Khaouane, S. Hanini","doi":"10.1109/ICASS.2018.8652048","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8652048","url":null,"abstract":"This work explained the use of neural networks for modeling the retention of organic molecules by membranes taking to consideration the sodium chloride salt rejection. A database of 436 points was used to build the neural networks. The neural networks model described by a structure (twelve neuron in the input layer, eleven neurons in hidden layer and one neuron in the output layer) is built with the purpose of modeling the retention of organic molecules. Ideal agreements between the calculated and experimental retentions were gained by the neural networks model; the correlation coefficients “R” were found: 0.9669, 0.9539, 0.9836, and 0.9663 for the training, validation, testing, and total data base correspondingly.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116471330","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 : 2018-11-01DOI: 10.1109/ICASS.2018.8652067
Hadda Nouar, T. Tahri, Y. Chiba
Study on the Performance of a solar chimney power plant chlef, Algeria region was presented in this work. The solar chimney is used in hot areas such as Chlef with high intensity of solar radiation. In this work, the solar chimney power plant (collector, chimney and turbine) is modeled theoretically, and the global solar radiation, the air temperature was measured during the period of 01/01/2015 to 1/06/2016. The model is employed in simulation to predict the electrical power produced by the solar chimney plant using the meteorological data of Chlef region. The effect of the geometrical parameters on the performances of the solar chimney power plant was studied. The influence of chimney height on electrical power produced is simulated in order to have the optimum SCPP to respond to the electricity demand in Chlef region. The performance characteristics of solar chimneys indicate that the dimensions of the chimney (height of the chimney, diameter of the collector, height of the collector and the diameter of the chimney) and the climatic condition (air temperature and solar radiation) are important parameters in the production of electrical energy.
{"title":"Study on the Performance of a solar chimney power plant Chlef, Algeria region","authors":"Hadda Nouar, T. Tahri, Y. Chiba","doi":"10.1109/ICASS.2018.8652067","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8652067","url":null,"abstract":"Study on the Performance of a solar chimney power plant chlef, Algeria region was presented in this work. The solar chimney is used in hot areas such as Chlef with high intensity of solar radiation. In this work, the solar chimney power plant (collector, chimney and turbine) is modeled theoretically, and the global solar radiation, the air temperature was measured during the period of 01/01/2015 to 1/06/2016. The model is employed in simulation to predict the electrical power produced by the solar chimney plant using the meteorological data of Chlef region. The effect of the geometrical parameters on the performances of the solar chimney power plant was studied. The influence of chimney height on electrical power produced is simulated in order to have the optimum SCPP to respond to the electricity demand in Chlef region. The performance characteristics of solar chimneys indicate that the dimensions of the chimney (height of the chimney, diameter of the collector, height of the collector and the diameter of the chimney) and the climatic condition (air temperature and solar radiation) are important parameters in the production of electrical energy.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114571749","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 : 2018-11-01DOI: 10.1109/ICASS.2018.8651951
Oulhadj Mohammed, Harrouz Abdelkader, Benatillah Ali
This article presents the analysis of measurement uncertainty of a gas mass flow using the ultrasonic metering system. This subject is very important especially in the case of transactional gas flow metering because of the extensive use of this type of metering systems recently, which surrounds not only the quantitative evaluation but also qualitative results of this type so those measurements are important. To attain this purpose, the authors of the paper propose to use two softwares where their uncertainty models presented here are based on the GUM uncertainty methodology: One is the FLOBOSS S600+ developed by EMERSON Company and the second one for the expanded uncertainty calculation is performed by the Norwegian Society for Oil and Gas Measurement NFOGM. The paper presents a comparative analysis of the results obtained with both of these methods.
{"title":"Analysis of indusrial measurement uncertainty of the gas mass flow using the ultrasonic metering system","authors":"Oulhadj Mohammed, Harrouz Abdelkader, Benatillah Ali","doi":"10.1109/ICASS.2018.8651951","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8651951","url":null,"abstract":"This article presents the analysis of measurement uncertainty of a gas mass flow using the ultrasonic metering system. This subject is very important especially in the case of transactional gas flow metering because of the extensive use of this type of metering systems recently, which surrounds not only the quantitative evaluation but also qualitative results of this type so those measurements are important. To attain this purpose, the authors of the paper propose to use two softwares where their uncertainty models presented here are based on the GUM uncertainty methodology: One is the FLOBOSS S600+ developed by EMERSON Company and the second one for the expanded uncertainty calculation is performed by the Norwegian Society for Oil and Gas Measurement NFOGM. The paper presents a comparative analysis of the results obtained with both of these methods.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132368884","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 : 2018-11-01DOI: 10.1109/ICASS.2018.8652040
Imane Benraya, N. Benblidia
This article presents a comparative study of the most known background subtraction methods and which are widely used in the computer vision. This is achieved by means of the mask extraction quality of the foreground using these methods, in order to provide a solid analysis to highlight the advantages and disadvantages of the aforementioned methods through background subtraction. Simulation have been performed using MATLAB and visual studio.
{"title":"Comparison of Background Subtraction methods","authors":"Imane Benraya, N. Benblidia","doi":"10.1109/ICASS.2018.8652040","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8652040","url":null,"abstract":"This article presents a comparative study of the most known background subtraction methods and which are widely used in the computer vision. This is achieved by means of the mask extraction quality of the foreground using these methods, in order to provide a solid analysis to highlight the advantages and disadvantages of the aforementioned methods through background subtraction. Simulation have been performed using MATLAB and visual studio.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133575910","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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