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Proceedings of the 2019 8th International Conference on Networks, Communication and Computing最新文献

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An Adaptive Sliding Mode Control Algorithm for Boost DC-DC Converter of FCHEVs fchv升压DC-DC变换器的自适应滑模控制算法
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376021
Yongqiang Wang, Shuzhong Song, Longlong Zhu, Zhumu Fu
{"title":"An Adaptive Sliding Mode Control Algorithm for Boost DC-DC Converter of FCHEVs","authors":"Yongqiang Wang, Shuzhong Song, Longlong Zhu, Zhumu Fu","doi":"10.1145/3375998.3376021","DOIUrl":"https://doi.org/10.1145/3375998.3376021","url":null,"abstract":"In this paper, an adaptive sliding mode control (ASMC) strategy is developed for boost DC-DC converter with uncertainty of measurement, load and battery resistance. The error of load and battery resistance caused by the change of load and battery resistance is estimated by using the adaptive rule. Considering the uncertainty and disturbance of load and measurement of sensor, an adaptive sliding mode nonlinear surface is proposed to ensure the transient response and robustness of the system. Simulation results show that, compared with PID method, the output voltage trajectory can track the reference voltage, and the output voltage response is good.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126628428","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}
引用次数: 0
Unsupervised Transfer Softmax Regression 无监督传输Softmax回归
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376027
Shaofei Zang, Yuhu Cheng, X. Wang, Jianwei Ma
{"title":"Unsupervised Transfer Softmax Regression","authors":"Shaofei Zang, Yuhu Cheng, X. Wang, Jianwei Ma","doi":"10.1145/3375998.3376027","DOIUrl":"https://doi.org/10.1145/3375998.3376027","url":null,"abstract":"Cross-domain image classification is a challenge in numerous practical applications due to the variance between the training and testing datasets. To solve the problem, we propose a new classification method named unsupervised transfer softmax regression in this paper. It firstly introduce joint distribution adaptation to the objective function of the softmax regression to construct a new classifier for knowledge transfer. Then the new objective function is solved by gradient descent method to realize the unified optimization of classification and feature extraction. Finally, we evaluate the effectiveness of the proposed method by the classification experiments on image data sets and text data sets, and the result demonstrate the good performance of our approach.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126883915","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}
引用次数: 1
A Distributed Algorithm for Controller Placement in Software Defined Vehicular Networks 软件定义车辆网络控制器布局的分布式算法
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376012
Junpeng Wang, Zhumu Fu, Pengju Si, Fazhan Tao
{"title":"A Distributed Algorithm for Controller Placement in Software Defined Vehicular Networks","authors":"Junpeng Wang, Zhumu Fu, Pengju Si, Fazhan Tao","doi":"10.1145/3375998.3376012","DOIUrl":"https://doi.org/10.1145/3375998.3376012","url":null,"abstract":"With the rise of autonomous driving technology and the growing demand for real-time traffic information, there is a growing demand for Internet of Vehicle (IoV). Vehicle Ad-hoc Network (VANET) is purposed to avoid long-distance data transmission for situations where only local information is needed. However, it is difficult to update the routing protocol in VANET, so the Software Defined Network (SDN) technology is applied to the VANET network. The SDN structure consists of a data layer and a control layer, and how to arrange the control layer structure will affect system performance. In this paper, we approximate the placement problem of the control layer as a facility location problem, and propose a distributed algorithm to better solve this problem. The simulation in the actual problem verifies that the proposed algorithm can effectively solve the problem of the placement of the control layer.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131881271","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}
引用次数: 1
Dynamic Update Cache Scheme Based on Feedback Times for Device-to-Device Caching Networks 基于反馈时间的设备间缓存网络动态更新缓存方案
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376032
Hui Song, Qunying Wu, Zhikai Liu, Pei-Jan Huang, E. He, Ying Deng, Qiaoe Zheng
{"title":"Dynamic Update Cache Scheme Based on Feedback Times for Device-to-Device Caching Networks","authors":"Hui Song, Qunying Wu, Zhikai Liu, Pei-Jan Huang, E. He, Ying Deng, Qiaoe Zheng","doi":"10.1145/3375998.3376032","DOIUrl":"https://doi.org/10.1145/3375998.3376032","url":null,"abstract":"On the premise of determining the order of cached files according to Zipf law, this paper proposes a dynamic update caching strategy (SBRC-2DS) based on file segment caching scheme. In this scheme, the user cache space is divided into three parts, and each cache space is equal probability random to cache the corresponding files in the file library segments, and the probability of caching different segments of the files is different. According to the dynamic change of the number of file requests, the segmentation criteria of the file library are updated accordingly, and the updating method adopts the percentage updating method. Only 20% of the files are filtered at a time and placed in the segment of the file library with the smallest hit probability. The simulation results show that SBRC-2DS has sufficient advantages in improving cache hit ratio compared with several existing classical cache strategies.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"34 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124971927","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}
引用次数: 1
Classification method for imbalanced data set based on EKCStacking algorithm 基于EKCStacking算法的不平衡数据集分类方法
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376002
Qunzhong Liu, W. Luo, Tao Shi
{"title":"Classification method for imbalanced data set based on EKCStacking algorithm","authors":"Qunzhong Liu, W. Luo, Tao Shi","doi":"10.1145/3375998.3376002","DOIUrl":"https://doi.org/10.1145/3375998.3376002","url":null,"abstract":"The processing of imbalanced data sets has always been a hot issue in machine learning. The traditional classification method is to pursue the overall classification accuracy of data sets, and often ignores the classification effect of minority samples. Stacking is a framework algorithm. Based on the Stacking framework, in this paper, we introduce a new oversampling algorithm EKSMOTE and cost-sensitive theory into Stacking, and propose the EKCStacking algorithm. The algorithm uses the EKSMOTE algorithm to reduce imbalanced ratio of data set before data training, and then the Level 1 layer uses a cost-sensitive classifier. The experimental results of the data set in the Keel database show that EKCStacking improves the classification accuracy of minority samples and makes the performance more stable compared with the traditional algorithm.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125608634","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}
引用次数: 2
Infrared Target Recognition Based On Improved Convolution Neural Network
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376000
Laixiang Xu, Gang Liu, Bingxu Cao, Peigen Zhang, Sen Liu
{"title":"Infrared Target Recognition Based On Improved Convolution Neural Network","authors":"Laixiang Xu, Gang Liu, Bingxu Cao, Peigen Zhang, Sen Liu","doi":"10.1145/3375998.3376000","DOIUrl":"https://doi.org/10.1145/3375998.3376000","url":null,"abstract":"Automatic target recognition is one of the key technologies for infrared imaging precision guided weapon systems, aiming at the problem of complex target feature modeling and low recognition rate in the traditional recognition algorithm, this paper proposed the convolution neural network method based on improved the Dropout layer. Firstly, this paper adjusted the number of convolution layers and pooled layers in combination with infrared target characteristics and improved the convolution neural network ZFNet model. Secondly, this paper analyzed the Dropout layer and the change of the discard rate by visualization during the process of training the model. Then this paper determined the selection principle of Dropout discard rate and analyzed the effect of the Dropout layer on the recognition results. The results show that the improved convolution neural network test accuracy rate is 92.08%, which outperforms the traditional algorithm. The method obviously improves the classification accuracy, and has good generalization ability and robustness, it can provide reference for the design of infrared imaging seeker target recognition algorithm.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130055127","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}
引用次数: 1
Complex Process Module Partitioning Method For Mass Customization 大规模定制复杂过程模块划分方法
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376006
Xiaoming Song, Bo Fan, Kexing Song, Hua Huo, Wenwu Hou
{"title":"Complex Process Module Partitioning Method For Mass Customization","authors":"Xiaoming Song, Bo Fan, Kexing Song, Hua Huo, Wenwu Hou","doi":"10.1145/3375998.3376006","DOIUrl":"https://doi.org/10.1145/3375998.3376006","url":null,"abstract":"Aiming at the problem of module planning in product family design of mass customization, the limitations of module partitioning of product components in the past are analyzed, and the method for module division at complex processing levels is proposed. Based on the modular theory of the product family core system, the design relationship between product performance and process is comprehensively analyzed, the correlation matrix between process modules is established according to the feature-associated mathematical model, the correlation function is calibrated by the range conversion method, and the membership function is calculated by the transitive closure method, combine the principle of threshold cutting to obtain the best module division scheme through matlab operation., program to achieve a fast, low-cost design of personalized products that adapt to market and technology changes. Finally, taking the aluminum/copper strip process module as an example, the effectiveness and feasibility of the method are verified, the production efficiency of the product is improved, and the processing cost of the enterprise is reduced.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131753091","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}
引用次数: 0
Training Model of Safe Escape From Fire Based On Virtual Reality 基于虚拟现实的火灾安全逃生训练模型
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376013
Hui Liang, Chao Ge, Fei Liang, Yusheng Sun, Pu Li, Changhai Wang
{"title":"Training Model of Safe Escape From Fire Based On Virtual Reality","authors":"Hui Liang, Chao Ge, Fei Liang, Yusheng Sun, Pu Li, Changhai Wang","doi":"10.1145/3375998.3376013","DOIUrl":"https://doi.org/10.1145/3375998.3376013","url":null,"abstract":"The popularization of virtual reality equipment and disaster scene simulation technology provide efficient and novel methods for disaster escape training. At the same time, they provide real and reliable training process and behavior survey for trainees. It is very important to give feedback to users' behavior during the training period for improving escape skills and reducing losses in disasters. This paper presents a training model for safe escape based on virtual reality technology. An optimal escape mathematical model considering high temperature and harmful gases is established, and the algorithm of the optimal escape route is given. Through the analysis of participants' behavior, evaluates the trainer's escape strategy. The experimental results show that this method effectively overcomes many limitations of traditional methods, such as inefficiency, limited training role, lack of user evaluation, etc. It provides an effective new strategy for safe escape training.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114532560","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}
引用次数: 5
DSRNet
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376025
Laigan Luo, Hailan Kuang, Xinhua Liu, Xiaolin Ma
{"title":"DSRNet","authors":"Laigan Luo, Hailan Kuang, Xinhua Liu, Xiaolin Ma","doi":"10.1145/3375998.3376025","DOIUrl":"https://doi.org/10.1145/3375998.3376025","url":null,"abstract":"It is important to reduce the computation complexity while maintaining the accuracy of convolution neural networks. We deem it is possible to further reduce the network complexity while ensuring the accuracy. In this paper, we propose a novel feature extraction network called DSRNet which is lightweight but effective. DSRNet follows the basic ideas of stacking modules and short connection, introduces Depthwise Separable convolution and utilizes the Dilated convolution. We conducted comprehensive experiments on CIFAR10, CIFAR100 and STL10 datasets, and the results showed the DSRNet has great performance improvement in terms of accuracy and speed.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115928143","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}
引用次数: 0
Fuzzy Optimization Control of Airborne Photoelectric Pod Based on Genetic Algorithm 基于遗传算法的机载光电吊舱模糊优化控制
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376003
Yaxing Liang, Leipo Liu, Yifan Di
{"title":"Fuzzy Optimization Control of Airborne Photoelectric Pod Based on Genetic Algorithm","authors":"Yaxing Liang, Leipo Liu, Yifan Di","doi":"10.1145/3375998.3376003","DOIUrl":"https://doi.org/10.1145/3375998.3376003","url":null,"abstract":"According to the stability of airborne photoelectric pod, a fuzzy PID controller based on genetic algorithm is designed. The photoelectric pod is easily interfered by the external environment during the working process, which causes the camera's visual axis to shake and affect the shooting quality. However, the traditional PID control has a poor control effect on the nonlinear system with time delay and time variation. The genetic algorithm is used to optimize the fuzzy PID controller parameters, and the optimal parameter values are continuously obtained to improve the stability and adaptability of the system. The simulation using Matlab software shows that compared with the conventional PID controller, the controller based on genetic algorithm optimization fuzzy PID control parameter tuning has better control effect and stronger adaptability.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123879795","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}
引用次数: 0
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