In wireless positioning, the time delay due to non-line-of-sight propagation will significantly reduce the localization accuracy of traditional algorithms. Therefore, this paper proposes a two-step constraint least squares (CLS) algorithm, in which a new range constrain is constructed with the help of coarse positioning estimation, while the coarse estimation is produced by the conventional CLS scheme. Consequently, the quadratic programming scheme is operated to enhance the final localization performance. Simulations demonstrate that the proposed algorithm greatly enhances the localization accuracy in the NLOS environment, and outperforms the tested opponents. Moreover, we also observe a stable performance of the proposed algorithm in terms of the measurement noise variations.
{"title":"A Two-step Constrained Least Squares Localization in Wireless Sensor Networks","authors":"Guangzhe Liu, Jingyu Hua, Feng Li, Yu Zhang, Zhijiang Xu","doi":"10.1109/ICCCAS.2018.8768919","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8768919","url":null,"abstract":"In wireless positioning, the time delay due to non-line-of-sight propagation will significantly reduce the localization accuracy of traditional algorithms. Therefore, this paper proposes a two-step constraint least squares (CLS) algorithm, in which a new range constrain is constructed with the help of coarse positioning estimation, while the coarse estimation is produced by the conventional CLS scheme. Consequently, the quadratic programming scheme is operated to enhance the final localization performance. Simulations demonstrate that the proposed algorithm greatly enhances the localization accuracy in the NLOS environment, and outperforms the tested opponents. Moreover, we also observe a stable performance of the proposed algorithm in terms of the measurement noise variations.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"28 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":"126475419","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.2018.8769166
Yanhui Wang, Hongbin Zhang
In this paper, an accurate Gaussian sum-filtering method is developed theoretically and tested experimentally for the continuous-discrete nonlinear systems with non-Gaussian noise. The state dynamics of the systems are modeled with nonlinear Itô-type stochastic differential equations (SDEs) and the measurements are obtained at discrete time instants with non-Gaussian noise. We first show how the recently developed accurate continuous-discrete extended-cubature Kalman filter (ACD-ECKF) can be applied to classical continuous-discrete Gaussian state estimation. Then, we derive the square-root version of the Gaussian sum-ACD-ECKF for continuous-discrete models with non-Gaussian noise. The Gaussian sum-filter applies a bank of parallel ACD-ECKFs to approximate the predicted and posterior densities as a finite number of weighted sums of Gaussian densities and the corresponding weights are obtained from the residuals of ACD-ECKFs. The performances of the proposed method are compared with the recently presented filters based on the Maximum Correntropy Criterion (MCC) in a simulated application and the numerical results show that the presented approach is more accurate and robust than other algorithms.
{"title":"Accurate Gaussian Sum-filter for Continuous-discrete Nonlinear Systems with Non-Gaussian Noise","authors":"Yanhui Wang, Hongbin Zhang","doi":"10.1109/ICCCAS.2018.8769166","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8769166","url":null,"abstract":"In this paper, an accurate Gaussian sum-filtering method is developed theoretically and tested experimentally for the continuous-discrete nonlinear systems with non-Gaussian noise. The state dynamics of the systems are modeled with nonlinear Itô-type stochastic differential equations (SDEs) and the measurements are obtained at discrete time instants with non-Gaussian noise. We first show how the recently developed accurate continuous-discrete extended-cubature Kalman filter (ACD-ECKF) can be applied to classical continuous-discrete Gaussian state estimation. Then, we derive the square-root version of the Gaussian sum-ACD-ECKF for continuous-discrete models with non-Gaussian noise. The Gaussian sum-filter applies a bank of parallel ACD-ECKFs to approximate the predicted and posterior densities as a finite number of weighted sums of Gaussian densities and the corresponding weights are obtained from the residuals of ACD-ECKFs. The performances of the proposed method are compared with the recently presented filters based on the Maximum Correntropy Criterion (MCC) in a simulated application and the numerical results show that the presented approach is more accurate and robust than other algorithms.","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":"122451495","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.2018.8769327
Qiang Liu, Gao Kai
Universal-filtered multi-carrier (UFMC) is a novel multi-carrier modulation technique for 5G wireless communication, which is suitable for short packet and low latency transmissions. In addition, UFMC has a lower sensitivity to synchronization errors compared with orthogonal frequency division multiplexing (OFDM), however synchronization is still an important problem for UFMC-based systems. In this paper, a new preamble structure based on Zadoff Chu (ZC) sequence is devised first for UFMC based systems. Then, an efficient carrier frequency offset (CFO) estimation scheme based on the preamble is proposed. The scheme is primarily divided into two steps. To begin with, based on Maximum likelihood (ML) algorithm, a coarse carrier frequency offset estimation approach is expounded and the searching step of this approach is discussed for a relatively simple calculation. Next, according to the preamble structure, compensated preamble is correlated for fine residual CFO estimation. Through numerous simulations, it is verified that the scheme has a large estimation range and accurate CFO estimation in multipath fading channels.
{"title":"An Effective Preamble-based CFO Synchronization for UFMC Systems","authors":"Qiang Liu, Gao Kai","doi":"10.1109/ICCCAS.2018.8769327","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8769327","url":null,"abstract":"Universal-filtered multi-carrier (UFMC) is a novel multi-carrier modulation technique for 5G wireless communication, which is suitable for short packet and low latency transmissions. In addition, UFMC has a lower sensitivity to synchronization errors compared with orthogonal frequency division multiplexing (OFDM), however synchronization is still an important problem for UFMC-based systems. In this paper, a new preamble structure based on Zadoff Chu (ZC) sequence is devised first for UFMC based systems. Then, an efficient carrier frequency offset (CFO) estimation scheme based on the preamble is proposed. The scheme is primarily divided into two steps. To begin with, based on Maximum likelihood (ML) algorithm, a coarse carrier frequency offset estimation approach is expounded and the searching step of this approach is discussed for a relatively simple calculation. Next, according to the preamble structure, compensated preamble is correlated for fine residual CFO estimation. Through numerous simulations, it is verified that the scheme has a large estimation range and accurate CFO estimation in multipath fading channels.","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":"126335495","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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