Pub Date : 2019-03-01DOI: 10.1109/ICSCAN.2019.8878740
S. Jayamoorthy, A. Aravindhan, V. Hariharan, B. Pandhalarajan
Our main idea is to predict that the energy consumption and optimization of solar car. The solar car contains photovoltaic cells (PV).It generates current based on heat generated on solar car. It analyses based on heat shows the power consumption and predicts that how much distance the solar car can travel. Each individual driver has having own driving patterns and characteristics. For example if a driver drives at a certain speed and applies a sudden break, our project predicts that how much distance he can travel at the speed and how much amount the electricity is wasted. There are three data characteristics affecting driver’s pattern. The factors that might affect the power consumption are weather condition, road characteristics, driving characteristics. With the above said characteristics, we can predict that how much driver can drive for a distance. The most determinants of energy efficiency found to be driving patterns, variations in driving, temperature. And the data inputted with the help of Tensor flow. The user will input the data through the tensor flow and the tensor flow will predict the outcome through the graph of a Numpy. And the numpy will store the output in the database.
{"title":"Predicting smart distance till empty for solar vehicle users","authors":"S. Jayamoorthy, A. Aravindhan, V. Hariharan, B. Pandhalarajan","doi":"10.1109/ICSCAN.2019.8878740","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878740","url":null,"abstract":"Our main idea is to predict that the energy consumption and optimization of solar car. The solar car contains photovoltaic cells (PV).It generates current based on heat generated on solar car. It analyses based on heat shows the power consumption and predicts that how much distance the solar car can travel. Each individual driver has having own driving patterns and characteristics. For example if a driver drives at a certain speed and applies a sudden break, our project predicts that how much distance he can travel at the speed and how much amount the electricity is wasted. There are three data characteristics affecting driver’s pattern. The factors that might affect the power consumption are weather condition, road characteristics, driving characteristics. With the above said characteristics, we can predict that how much driver can drive for a distance. The most determinants of energy efficiency found to be driving patterns, variations in driving, temperature. And the data inputted with the help of Tensor flow. The user will input the data through the tensor flow and the tensor flow will predict the outcome through the graph of a Numpy. And the numpy will store the output in the database.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131178917","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 : 2019-03-01DOI: 10.1109/ICSCAN.2019.8878788
G. Kadiravan, P. Sujatha
In several domains like disaster hit areas, agriculture, military, health care, defense, etc., Mobile Wireless Sensor Networks (MWSNs) have been employed. When the sensor nodes are resource limited, the main attribute which act as a key role in modeling MWSNs protocol are its computational feasibility and energy efficiency. The Sensor nodes distance variation from inter node distances and base station (BS) initially leads to unequivalent energy utilization between the sensor nodes. The utilization of energy differs with period and cause system performance deprivation. LEACH is the primarily clustered depended routing protocol that gives fine solutions, endures from the disadvantages in order to the cluster head (CH) selection that are randomized. With the conventional clustering algorithm, considering severe energy rebalancing, a Particle Swarm Optimization (PSO) based clustering method that examines the fitness function through assuming the two main attributes (distance and energy) is projected in this paper. PSO is a search depended method which is probabilistic method depends on the natural selection principle and evolution. Experimental outcomes verifies that the projected protocol performs well when compared LEACH protocol with better network lifetime.
{"title":"PSO Based Clustering Approach for Mobile Wireless Sensor Network","authors":"G. Kadiravan, P. Sujatha","doi":"10.1109/ICSCAN.2019.8878788","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878788","url":null,"abstract":"In several domains like disaster hit areas, agriculture, military, health care, defense, etc., Mobile Wireless Sensor Networks (MWSNs) have been employed. When the sensor nodes are resource limited, the main attribute which act as a key role in modeling MWSNs protocol are its computational feasibility and energy efficiency. The Sensor nodes distance variation from inter node distances and base station (BS) initially leads to unequivalent energy utilization between the sensor nodes. The utilization of energy differs with period and cause system performance deprivation. LEACH is the primarily clustered depended routing protocol that gives fine solutions, endures from the disadvantages in order to the cluster head (CH) selection that are randomized. With the conventional clustering algorithm, considering severe energy rebalancing, a Particle Swarm Optimization (PSO) based clustering method that examines the fitness function through assuming the two main attributes (distance and energy) is projected in this paper. PSO is a search depended method which is probabilistic method depends on the natural selection principle and evolution. Experimental outcomes verifies that the projected protocol performs well when compared LEACH protocol with better network lifetime.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127928705","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 : 2019-03-01DOI: 10.1109/ICSCAN.2019.8878867
D. N. Mudaliar, N. Modi
Routing problems, scheduling problems, transportation scheduling problems are interesting problems and variants of Permutation problems. The intention of solving these problems is to find a better path (solution) among enormous, feasible, available solutions. The better (or best) solution should provide a cost effective path which would enable a anyone (or device) to travel to all the given cities (location) one and only once and finally return to the starting city(location). Approaches like Brute Force would not work since it is not feasible to calculate cost for all the possible paths (because rise in the number of cities would exponentially increase the number of all possible permutation of cities). Approaches like heuristics can be trusted reasonably as it uses reduced amount of computing power. Heuristic techniques are used because it gives quick and better solution even if it does not guarantee the best solution. In this research work, the authors propose a mutation operator called (m - mutation) that could be applied in genetic algorithm to solve permutation problems. The efficiency of the proposed mutation operator is compared with the efficiency of existing mutation operators in solving the same permutation problem and the results are encouraging.
{"title":"Applying m-Mutation Operator in Genetic Algorithm to Solve Permutation Problems","authors":"D. N. Mudaliar, N. Modi","doi":"10.1109/ICSCAN.2019.8878867","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878867","url":null,"abstract":"Routing problems, scheduling problems, transportation scheduling problems are interesting problems and variants of Permutation problems. The intention of solving these problems is to find a better path (solution) among enormous, feasible, available solutions. The better (or best) solution should provide a cost effective path which would enable a anyone (or device) to travel to all the given cities (location) one and only once and finally return to the starting city(location). Approaches like Brute Force would not work since it is not feasible to calculate cost for all the possible paths (because rise in the number of cities would exponentially increase the number of all possible permutation of cities). Approaches like heuristics can be trusted reasonably as it uses reduced amount of computing power. Heuristic techniques are used because it gives quick and better solution even if it does not guarantee the best solution. In this research work, the authors propose a mutation operator called (m - mutation) that could be applied in genetic algorithm to solve permutation problems. The efficiency of the proposed mutation operator is compared with the efficiency of existing mutation operators in solving the same permutation problem and the results are encouraging.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133764037","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 : 2019-03-01DOI: 10.1109/ICSCAN.2019.8878829
S. Sivagnanam, E. Gnanamanoharan, P. Kailasapathi
In this work, Multislot rectangular Microstrip patch antenna with Defected ground structure (DGS) for Ultra Wide Band (UWB) wireless applications has been proposed. The antenna with patch dimensions 14.5 x 15mm2 in FR-4 substrate with 50 ohm feed line is presented. The proposed antenna is designed to have rectangular patch with a circular slot at each corner and Multislot DGS plane. The high frequency structure simulator (HFSS) is used to design and simulate the antennas performance over the different frequency ranges. The simulated bandwidth is 3.5 – 11.7 GHz with Return Loss is ≤ -10dB and VSWR less than 2. From the simulated results, it is clear that the proposed antenna is well suited for UWB applications.
提出了一种用于超宽带(UWB)无线应用的带缺陷接地结构(DGS)的多槽矩形微带贴片天线。提出了一种贴片尺寸为14.5 x 15mm2、馈线为50欧姆的FR-4基板天线。所提出的天线设计为矩形贴片，每个角上有一个圆槽和多槽DGS平面。高频结构模拟器(HFSS)用于设计和模拟天线在不同频率范围内的性能。仿真带宽为3.5 ~ 11.7 GHz，回波损耗≤- 10db，驻波比小于2。仿真结果表明，该天线非常适合超宽带应用。
{"title":"Multislot Rectangular Patch antenna with Defected Ground Structure for UWB Wireless Applications","authors":"S. Sivagnanam, E. Gnanamanoharan, P. Kailasapathi","doi":"10.1109/ICSCAN.2019.8878829","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878829","url":null,"abstract":"In this work, Multislot rectangular Microstrip patch antenna with Defected ground structure (DGS) for Ultra Wide Band (UWB) wireless applications has been proposed. The antenna with patch dimensions 14.5 x 15mm2 in FR-4 substrate with 50 ohm feed line is presented. The proposed antenna is designed to have rectangular patch with a circular slot at each corner and Multislot DGS plane. The high frequency structure simulator (HFSS) is used to design and simulate the antennas performance over the different frequency ranges. The simulated bandwidth is 3.5 – 11.7 GHz with Return Loss is ≤ -10dB and VSWR less than 2. From the simulated results, it is clear that the proposed antenna is well suited for UWB applications.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133382339","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 : 2019-03-01DOI: 10.1109/ICSCAN.2019.8878698
Aiju Thomas, N. Eldhose
Divergent modulation schemes have been proposed for Internet of Things (IoT). One specific application is sensor networks, where narrow band of data is required to be transferred for long distance and modulated signals are susceptible to interference. Chirps signals can traverse long distance and are resilient to White Gaussian Noise and Doppler effects. We analyze the performance of chirp spread spectrum as used in LoRa™physical layer for noise resilience. We evaluate Chirp Spread Spectrum (CSS) at ISM band 868 MHz for spreading factor 7 to 12 at bandwidth 125 kHz and sampling frequency 125Khz. Signals are transmitted through AWGN channel and are evaluated for Bit Error Rate (BER). Packet collisions and packet error rate were analyzed for simultaneous transmissions.
{"title":"Performance Evaluation of Chirp Spread Spectrum as used in LoRa Physical Layer","authors":"Aiju Thomas, N. Eldhose","doi":"10.1109/ICSCAN.2019.8878698","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878698","url":null,"abstract":"Divergent modulation schemes have been proposed for Internet of Things (IoT). One specific application is sensor networks, where narrow band of data is required to be transferred for long distance and modulated signals are susceptible to interference. Chirps signals can traverse long distance and are resilient to White Gaussian Noise and Doppler effects. We analyze the performance of chirp spread spectrum as used in LoRa™physical layer for noise resilience. We evaluate Chirp Spread Spectrum (CSS) at ISM band 868 MHz for spreading factor 7 to 12 at bandwidth 125 kHz and sampling frequency 125Khz. Signals are transmitted through AWGN channel and are evaluated for Bit Error Rate (BER). Packet collisions and packet error rate were analyzed for simultaneous transmissions.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132149365","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 : 2019-03-01DOI: 10.1109/ICSCAN.2019.8878728
N. Poonguzhali, Kagne Raveena Rajendra, T. Mageswari, T. Pavithra
Brain Tumor occurs when abnormal cells form within the brain. There are two main types of tumors malignant and benign tumors. So for early precise detection of tumor cells, in conventional methods there are various algorithm which helps to diagnosis the tumor cells though it fails to predict an accurate results. This paper presents a reliable detection method by making use of tensor flow library, Faster R-CNN algorithm and SVM classifier used to predict the likely chances of brain related tumor of the patient. Faster R-CNN algorithm is a capable classification algorithm in which both region proposal generation and objection tasks are all done by the same convolutional networks.
{"title":"Heterogeneous Deep Neural Network for Healthcare Using Metric Learning","authors":"N. Poonguzhali, Kagne Raveena Rajendra, T. Mageswari, T. Pavithra","doi":"10.1109/ICSCAN.2019.8878728","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878728","url":null,"abstract":"Brain Tumor occurs when abnormal cells form within the brain. There are two main types of tumors malignant and benign tumors. So for early precise detection of tumor cells, in conventional methods there are various algorithm which helps to diagnosis the tumor cells though it fails to predict an accurate results. This paper presents a reliable detection method by making use of tensor flow library, Faster R-CNN algorithm and SVM classifier used to predict the likely chances of brain related tumor of the patient. Faster R-CNN algorithm is a capable classification algorithm in which both region proposal generation and objection tasks are all done by the same convolutional networks.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132786903","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 : 2019-03-01DOI: 10.1109/ICSCAN.2019.8878826
L. Raj, K. Roja, J. S. Theresa, M. Sathyavani, M. Sumithra
PCB design plays a vital role in the evolution of modern technology. Dual side PCB has two conductive layers, multi-side PCB should have at least three conductive layers which are buried in the centre of the material. Layers of copper foil, prepreg and core material sandwich together under high temperature and pressure to produce multi-layer. Multilayer board can pack the same amount of power into a PCB that’s half the size of the original or traditional double-sided PCB. The demonstration will be done by using NI Ultiboard 12.0. In this project, the datum we get from our PCB, it is an obvious way to reduce the cost of PCB and to simplify the design of PCB. It can be done by reducing the number of vias and components.
{"title":"Elegant Way of Designing Printed Circuit Board via Multilayer Technique Using Ultiboard 12.0","authors":"L. Raj, K. Roja, J. S. Theresa, M. Sathyavani, M. Sumithra","doi":"10.1109/ICSCAN.2019.8878826","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878826","url":null,"abstract":"PCB design plays a vital role in the evolution of modern technology. Dual side PCB has two conductive layers, multi-side PCB should have at least three conductive layers which are buried in the centre of the material. Layers of copper foil, prepreg and core material sandwich together under high temperature and pressure to produce multi-layer. Multilayer board can pack the same amount of power into a PCB that’s half the size of the original or traditional double-sided PCB. The demonstration will be done by using NI Ultiboard 12.0. In this project, the datum we get from our PCB, it is an obvious way to reduce the cost of PCB and to simplify the design of PCB. It can be done by reducing the number of vias and components.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132941859","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 : 2019-03-01DOI: 10.1109/ICSCAN.2019.8878797
G. Devi, P. Rajesh, S. Sathish, S. Sivaraman, S. Fayaz
This paper presents the performance investigation of Hexagram Inverter for high power applications. It can be used for 3-phase and 6-phase applications. It has many advantages such as less number of switches, easy construction and maintenance, isolated dc buses. Further, due to the module interconnection it has built-in fault tolerant feature. Compared to cascaded H-bridge inverter, it requires low dc energy storage. This well-known quality makes the system in high power applications. Hexagram inverter fed three phase induction motor drive is developed in Matlab/Simulink environment. Simulation is carried out to study the performance of the 3-phase induction motor at different load conditions and the results are presented.
{"title":"Performance Investigation of Hexagram Inverter for High Power Applications","authors":"G. Devi, P. Rajesh, S. Sathish, S. Sivaraman, S. Fayaz","doi":"10.1109/ICSCAN.2019.8878797","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878797","url":null,"abstract":"This paper presents the performance investigation of Hexagram Inverter for high power applications. It can be used for 3-phase and 6-phase applications. It has many advantages such as less number of switches, easy construction and maintenance, isolated dc buses. Further, due to the module interconnection it has built-in fault tolerant feature. Compared to cascaded H-bridge inverter, it requires low dc energy storage. This well-known quality makes the system in high power applications. Hexagram inverter fed three phase induction motor drive is developed in Matlab/Simulink environment. Simulation is carried out to study the performance of the 3-phase induction motor at different load conditions and the results are presented.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122248015","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 : 2019-03-01DOI: 10.1109/ICSCAN.2019.8878787
K. Revanth, N. M. Raja
The Sign Language is a communication method for the deaf and dumb people. Problem arises when a dumb person is trying to communicate with a blind person. This paper proposes a method that provides a basis for the development of Sign Language Recognition system, using Support Vector Machine, where the signs presented by the dumb person will be converted into an observable format for a blind person.
{"title":"Comprehensive SVM based Indian Sign Language Recognition","authors":"K. Revanth, N. M. Raja","doi":"10.1109/ICSCAN.2019.8878787","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878787","url":null,"abstract":"The Sign Language is a communication method for the deaf and dumb people. Problem arises when a dumb person is trying to communicate with a blind person. This paper proposes a method that provides a basis for the development of Sign Language Recognition system, using Support Vector Machine, where the signs presented by the dumb person will be converted into an observable format for a blind person.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123717835","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 : 2019-03-01DOI: 10.1109/ICSCAN.2019.8878714
A. Sharmila, P. Dananjayan
Cognitive radio network (CRN) is considered a plausible way out for future 5G applications through its dynamic spectrum access technology. Spectrum sharing being the main objective of CRN, it alleviates the spectrum scarcity problem. In this paper, the manifold techniques for spectrum sharing in CRN are outlined. The distinct advantages and major limiting constraints with relevant to the hybrid spectrum access technology are elaborated thoroughly to enhance the QoS parameters of the users and to achieve better spectral efficiency.
{"title":"Spectrum Sharing Techniques in Cognitive Radio Networks – A Survey","authors":"A. Sharmila, P. Dananjayan","doi":"10.1109/ICSCAN.2019.8878714","DOIUrl":"https://doi.org/10.1109/ICSCAN.2019.8878714","url":null,"abstract":"Cognitive radio network (CRN) is considered a plausible way out for future 5G applications through its dynamic spectrum access technology. Spectrum sharing being the main objective of CRN, it alleviates the spectrum scarcity problem. In this paper, the manifold techniques for spectrum sharing in CRN are outlined. The distinct advantages and major limiting constraints with relevant to the hybrid spectrum access technology are elaborated thoroughly to enhance the QoS parameters of the users and to achieve better spectral efficiency.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124110812","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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