Pub Date : 2018-12-01DOI: 10.1109/ICCCAS.2018.8769213
Zhang Xuan, Zhang Xiaojie, Wang Shuo, Z. Ye
As individual satellite is limited by the mass and power constraints, formation or clusters contributing to the improved spatial and temporal resolution could be very useful in missions for space data collection or observation. Formation requires accurate orbital control for the system, while a cluster of spacecraft only requires cooperative control avoiding collision. Inter-satellite communication becomes critical for missions involving multiple satellites. As a solution for the Low–Power, Wide-Area Networks (LPWAN), LoRa technology is available for long-range and low-power communication in Internet of Things (IoT) areas. The purpose of this study is to take advantage of the LoRa technology to support autonomous operations with minimal human intervention in a wireless sensor network (WSN) building by a cluster of satellites. The paper will give an attempt to transplant IoT technology to space. We will design a typical space scenario for WSN and analyze the communication and topology requirement for its space application. Specific modification will be taken for the implementation of terrestrial IoT technology LoRa in the space cluster.
{"title":"An attempt to utilize LoRa for Intersatellite Communications","authors":"Zhang Xuan, Zhang Xiaojie, Wang Shuo, Z. Ye","doi":"10.1109/ICCCAS.2018.8769213","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8769213","url":null,"abstract":"As individual satellite is limited by the mass and power constraints, formation or clusters contributing to the improved spatial and temporal resolution could be very useful in missions for space data collection or observation. Formation requires accurate orbital control for the system, while a cluster of spacecraft only requires cooperative control avoiding collision. Inter-satellite communication becomes critical for missions involving multiple satellites. As a solution for the Low–Power, Wide-Area Networks (LPWAN), LoRa technology is available for long-range and low-power communication in Internet of Things (IoT) areas. The purpose of this study is to take advantage of the LoRa technology to support autonomous operations with minimal human intervention in a wireless sensor network (WSN) building by a cluster of satellites. The paper will give an attempt to transplant IoT technology to space. We will design a typical space scenario for WSN and analyze the communication and topology requirement for its space application. Specific modification will be taken for the implementation of terrestrial IoT technology LoRa in the space cluster.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132594600","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 : 2018-12-01DOI: 10.1109/ICCCAS.2018.8769246
Jingxian Tu, Guijiang Qin
A single channel subspace speech enhancement approach based on optimal Lagrange multiplier in time domain constraint is proposed. The proposed method focuses on the time domain constraint. The inverse of the Cholesky factorization matrix of noise covariance matrix is used to prewhiten the noisy signal. In this paper, the noise suppression level is adjusted adaptively and is decreasing monotonically according to a short time signal to noise (SNR), then the optimal Lagrange multiplier is obtained by a numerical algorithm with high speed. Simulation shows that the proposed approach outperform conventional subspace methods providing high noise reduction and better speech quality in most cases.
{"title":"A Single Channel Subspace Speech Enhancement Approach Based on Optimal Lagrange Multiplier in Time Domain Constraint","authors":"Jingxian Tu, Guijiang Qin","doi":"10.1109/ICCCAS.2018.8769246","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8769246","url":null,"abstract":"A single channel subspace speech enhancement approach based on optimal Lagrange multiplier in time domain constraint is proposed. The proposed method focuses on the time domain constraint. The inverse of the Cholesky factorization matrix of noise covariance matrix is used to prewhiten the noisy signal. In this paper, the noise suppression level is adjusted adaptively and is decreasing monotonically according to a short time signal to noise (SNR), then the optimal Lagrange multiplier is obtained by a numerical algorithm with high speed. Simulation shows that the proposed approach outperform conventional subspace methods providing high noise reduction and better speech quality in most cases.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134413870","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 : 2018-12-01DOI: 10.1109/ICCCAS.2018.8768952
Ziqiang Zhou, Changqing An, Jiahai Yang
The operation and management of network is facing increasing complexities brought by the evolution of network protocols and the demands of rapid service delivery. In this paper, we propose a programmable network management architecture, which manages network based on NETCONF protocol and provides REST APIs to upper layer so that further programming can be done based on the APIs to implement flexible management. Functions of devices can be modeled based on YANG language, and the models can be translated into REST APIs. We apply it to the management of ADN (Address Driven Network), an innovative network architecture proposed by Tsinghua University to inhibit IP spoofing, improve network security and provide high service quality. We model the functions of ADN based on YANG language, and implement the network management functions based on the REST APIs. We deploy and evaluate it in a laboratory environment. Test result shows that the programmable network management architecture is flexible to implement management for new network services.
{"title":"A Programmable Network Management Architecture for Address Driven Network","authors":"Ziqiang Zhou, Changqing An, Jiahai Yang","doi":"10.1109/ICCCAS.2018.8768952","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8768952","url":null,"abstract":"The operation and management of network is facing increasing complexities brought by the evolution of network protocols and the demands of rapid service delivery. In this paper, we propose a programmable network management architecture, which manages network based on NETCONF protocol and provides REST APIs to upper layer so that further programming can be done based on the APIs to implement flexible management. Functions of devices can be modeled based on YANG language, and the models can be translated into REST APIs. We apply it to the management of ADN (Address Driven Network), an innovative network architecture proposed by Tsinghua University to inhibit IP spoofing, improve network security and provide high service quality. We model the functions of ADN based on YANG language, and implement the network management functions based on the REST APIs. We deploy and evaluate it in a laboratory environment. Test result shows that the programmable network management architecture is flexible to implement management for new network services.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134559670","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 : 2018-12-01DOI: 10.1109/ICCCAS.2018.8768937
Zhu Wei-gang, Wang Pei-zhang, Liu Han
This paper explores an optimized low-pass filter which is based on the split-ring resonator (SRR) with a defected ground structure (DGS). By means of the two open stubs loaded on the main transmission line, the stop band of the filter can be expanded and the frequency selectivity of the filter can be improved. Thanks to the small size and simple construction, this type of filter can be widely applied in wireless communication fields.
{"title":"A Low-Pass Filter Design Based on Split-Ring Resonator with Defected Ground Structure","authors":"Zhu Wei-gang, Wang Pei-zhang, Liu Han","doi":"10.1109/ICCCAS.2018.8768937","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8768937","url":null,"abstract":"This paper explores an optimized low-pass filter which is based on the split-ring resonator (SRR) with a defected ground structure (DGS). By means of the two open stubs loaded on the main transmission line, the stop band of the filter can be expanded and the frequency selectivity of the filter can be improved. Thanks to the small size and simple construction, this type of filter can be widely applied in wireless communication fields.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114916779","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 : 2018-12-01DOI: 10.1109/ICCCAS.2018.8768948
Yan Liu, Zhen-hua Chen, Jian Wang, Weihuai Li
In this paper, a real-time rocket trajectory generation system based on super wide-angle optical camera is designed, which maps the trajectory in real time according to the flight position of the rocket. In this paper, firstly, a video acquisition system based on wide-angle lens is designed. Then a rocket trajectory generation algorithm based on moving target detection is proposed. Finally, by designing CUDA parallel processing algorithm, the system has high-definition video real-time processing capability. Compared with the traditional rocket flight shooting mode, the system designed in this paper can preserve the trajectory of the rocket flight while shooting in real time. The system designed in this paper is a new display method for the rocket launching image of the space launching field.
{"title":"Rocket Trajectory Real-time Generation System","authors":"Yan Liu, Zhen-hua Chen, Jian Wang, Weihuai Li","doi":"10.1109/ICCCAS.2018.8768948","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8768948","url":null,"abstract":"In this paper, a real-time rocket trajectory generation system based on super wide-angle optical camera is designed, which maps the trajectory in real time according to the flight position of the rocket. In this paper, firstly, a video acquisition system based on wide-angle lens is designed. Then a rocket trajectory generation algorithm based on moving target detection is proposed. Finally, by designing CUDA parallel processing algorithm, the system has high-definition video real-time processing capability. Compared with the traditional rocket flight shooting mode, the system designed in this paper can preserve the trajectory of the rocket flight while shooting in real time. The system designed in this paper is a new display method for the rocket launching image of the space launching field.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127123969","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 : 2018-12-01DOI: 10.1109/ICCCAS.2018.8769292
Xin-yi Wang, Zhongtao Zhu, Xiaozhang Zhu
For a given massive multiple-input multiple-output (MIMO) systems, how to achieve near-optimal performance with low system complexity is crucial for practical usage. To solve this problem, a new preconditioned symmetric successive over relaxation (SSOR) for minimum mean square error (MMSE) method is introduced in this paper, and the simulation results are compared with other common approaches. The preconditioned process is based on NS method which is found to be able to produce accurate enough initial guess that can be used to improve the convergence rate in the subsequent SSOR processing. The simulation results show that the combined system is improved in convergence rate with limited affect in complexity and bit error rate (BER).
{"title":"A Preconditioned Symmetric Successive Over Relaxation Method for Massive MIMO Signal Detection","authors":"Xin-yi Wang, Zhongtao Zhu, Xiaozhang Zhu","doi":"10.1109/ICCCAS.2018.8769292","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8769292","url":null,"abstract":"For a given massive multiple-input multiple-output (MIMO) systems, how to achieve near-optimal performance with low system complexity is crucial for practical usage. To solve this problem, a new preconditioned symmetric successive over relaxation (SSOR) for minimum mean square error (MMSE) method is introduced in this paper, and the simulation results are compared with other common approaches. The preconditioned process is based on NS method which is found to be able to produce accurate enough initial guess that can be used to improve the convergence rate in the subsequent SSOR processing. The simulation results show that the combined system is improved in convergence rate with limited affect in complexity and bit error rate (BER).","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126545785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the field of aerospace measurement and control field, optical equipment generates a large amount of image data. Thus it has great research value for how to process a huge number of images data quickly and effectively. With the development of deep learning, great progress has been made in the task of image classification. This paper attempts to classify the task images generated by optical measurement equipment using the deep learning method. Firstly, based on residual network, a general deep learning image classification framework, a binary image classification network namely rocket image and other image is built. Secondly, on the basis of the binary cross entropy loss function, the modified loss function is used to achieves a better generalization effect on those images difficult to classify. Then, the 2689 visible image data downloaded from optical equipment is randomly divided into training set, validation set and test set. The data augmentation method is used to train the binary classification model on a relatively small training set. The optimal model weight is selected according to the loss value on the validation set. Finally, the trained model achieved a 100% precision and a 83.33% recall on the test set of 97 images which include 24 rockets images. This paper has certain value for exploring the application of deep learning method in the intelligent and rapid processing of optical equipment task image in aerospace measurement and control field.
{"title":"Rocket Image Classification Based on Deep Convolutional Neural Network","authors":"Liang Zhang, Zhen-hua Chen, Jian Wang, Zhaodun Huang","doi":"10.1109/ICCCAS.2018.8769176","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8769176","url":null,"abstract":"In the field of aerospace measurement and control field, optical equipment generates a large amount of image data. Thus it has great research value for how to process a huge number of images data quickly and effectively. With the development of deep learning, great progress has been made in the task of image classification. This paper attempts to classify the task images generated by optical measurement equipment using the deep learning method. Firstly, based on residual network, a general deep learning image classification framework, a binary image classification network namely rocket image and other image is built. Secondly, on the basis of the binary cross entropy loss function, the modified loss function is used to achieves a better generalization effect on those images difficult to classify. Then, the 2689 visible image data downloaded from optical equipment is randomly divided into training set, validation set and test set. The data augmentation method is used to train the binary classification model on a relatively small training set. The optimal model weight is selected according to the loss value on the validation set. Finally, the trained model achieved a 100% precision and a 83.33% recall on the test set of 97 images which include 24 rockets images. This paper has certain value for exploring the application of deep learning method in the intelligent and rapid processing of optical equipment task image in aerospace measurement and control field.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130358011","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 : 2018-12-01DOI: 10.1109/ICCCAS.2018.8769236
Yuhua Fan, Liya Fan
This paper proposes a novel and efficient approach to exploit semantic relationships using semantic modeling for semantic annotation tasks. The existing methods learn knowledge of concepts and their relationships based on context cues. Starting with a large set of objects detectors, the proposed method refines the initial annotation results using the learned semantic relationships, which can preserve the consistency and effective of the annotation over a semantic graph. Different from the existing graph learning methods which capture relations among data instances, the semantic graphs treat concepts as nodes and concept affinities as the weights of edges. Particularly, the proposed method can not only learn the semantic cues effectively through the semantic graph models to improve the annotation results, but also can adapt the concept affinities to unseen images. The method provides a means to handle structured relationship change between training and test data, which occurs very often in semantic annotation tasks. Our experiments on NYUv2 demonstrate that the proposed approach outperform the state-of-the-art algorithms.
{"title":"Exploiting Semantic Structured Relationships Using Graph Models for Semantic Annotations","authors":"Yuhua Fan, Liya Fan","doi":"10.1109/ICCCAS.2018.8769236","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8769236","url":null,"abstract":"This paper proposes a novel and efficient approach to exploit semantic relationships using semantic modeling for semantic annotation tasks. The existing methods learn knowledge of concepts and their relationships based on context cues. Starting with a large set of objects detectors, the proposed method refines the initial annotation results using the learned semantic relationships, which can preserve the consistency and effective of the annotation over a semantic graph. Different from the existing graph learning methods which capture relations among data instances, the semantic graphs treat concepts as nodes and concept affinities as the weights of edges. Particularly, the proposed method can not only learn the semantic cues effectively through the semantic graph models to improve the annotation results, but also can adapt the concept affinities to unseen images. The method provides a means to handle structured relationship change between training and test data, which occurs very often in semantic annotation tasks. Our experiments on NYUv2 demonstrate that the proposed approach outperform the state-of-the-art algorithms.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115067848","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 : 2018-12-01DOI: 10.1109/ICCCAS.2018.8769261
Wei Gao, Yining Ma, Zhaofeng Sun, Pengfei Yin, M. Ren, Jin-ping Zhang, Zehong Li, Bo Zhang, W. Du
The thermal resistance of the power VDMOS device is an important parameter reflecting its thermal characteristics and reliability. The solder layer is one of the most important component which has a great influence on the thermal resistance. In this paper, three different power VDMOS in ITO-220 package are used as samples to analyze the relationship between the thickness of the solder layer and the thermal resistance. Through the results of finite element simulation and experiment, it is concluded that the thermal resistance is approximately linear with the thickness of solder layer.
{"title":"A Study of the Influence of Solder Thickness on the Thermal Resistance of Power VDMOS Device Package","authors":"Wei Gao, Yining Ma, Zhaofeng Sun, Pengfei Yin, M. Ren, Jin-ping Zhang, Zehong Li, Bo Zhang, W. Du","doi":"10.1109/ICCCAS.2018.8769261","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8769261","url":null,"abstract":"The thermal resistance of the power VDMOS device is an important parameter reflecting its thermal characteristics and reliability. The solder layer is one of the most important component which has a great influence on the thermal resistance. In this paper, three different power VDMOS in ITO-220 package are used as samples to analyze the relationship between the thickness of the solder layer and the thermal resistance. Through the results of finite element simulation and experiment, it is concluded that the thermal resistance is approximately linear with the thickness of solder layer.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134357852","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 : 2018-12-01DOI: 10.1109/ICCCAS.2018.8768921
Guo Zhen-xing, Xu Li-zhi, Song Xue-jun, Li Chong-cun, Li Ruoyi
The fitness values increase rapidly in the early stages of circuit evolution design, while the fitness values grew slowly or stagnated, at the later stages of the evolution. The phenomenon is called the "Stalling effect" phenomenon. In response to this problem, the evolutionary redundancy repair technique of circuit evolution design is proposed. The repair module is built using the redundant nodes and activated nodes at the later of circuit evolution design. The circuit with partially correct functions is evolved using Cartesian Genetic Programming at the early stages of the algorithm. At the later stages of the algorithm, the repair modules repair the error output of minimum items, ensure the correct output of the minimum items not modified meanwhile. The target circuit obtained traditional repair techniques include the additional repair circuit modules and the partial correct circuit. The evolutionary redundancy repair technique combines the repair circuit module and the evolution circuit. The repair module is built through the redundant nodes and the activated nodes. The experiment of a three-bit multiplier is researched. The results show that the rate of convergence of evolution program is greatly accelerated.
{"title":"The Research on Evolutionary Hardware Evolution Algorithm for Stall Effect","authors":"Guo Zhen-xing, Xu Li-zhi, Song Xue-jun, Li Chong-cun, Li Ruoyi","doi":"10.1109/ICCCAS.2018.8768921","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8768921","url":null,"abstract":"The fitness values increase rapidly in the early stages of circuit evolution design, while the fitness values grew slowly or stagnated, at the later stages of the evolution. The phenomenon is called the \"Stalling effect\" phenomenon. In response to this problem, the evolutionary redundancy repair technique of circuit evolution design is proposed. The repair module is built using the redundant nodes and activated nodes at the later of circuit evolution design. The circuit with partially correct functions is evolved using Cartesian Genetic Programming at the early stages of the algorithm. At the later stages of the algorithm, the repair modules repair the error output of minimum items, ensure the correct output of the minimum items not modified meanwhile. The target circuit obtained traditional repair techniques include the additional repair circuit modules and the partial correct circuit. The evolutionary redundancy repair technique combines the repair circuit module and the evolution circuit. The repair module is built through the redundant nodes and the activated nodes. The experiment of a three-bit multiplier is researched. The results show that the rate of convergence of evolution program is greatly accelerated.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116469288","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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