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

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Research on Cooperative Game Theory based on complexity of network structure 基于网络结构复杂性的合作博弈研究
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376017
Dongwei Guo, Jici Liu, Jingjing Zhao
{"title":"Research on Cooperative Game Theory based on complexity of network structure","authors":"Dongwei Guo, Jici Liu, Jingjing Zhao","doi":"10.1145/3375998.3376017","DOIUrl":"https://doi.org/10.1145/3375998.3376017","url":null,"abstract":"Based on the prisoner's dilemma(PD) game, we study the effect of network structure on the evolution of cooperation. Among various statistical properties of network, we focus on the network structure entropy, which can assess how complex the structure of complex networks is. In this paper, we analyze and discuss the Prisoner's Dilemma Game Model based on Dynamic topology (PDG-DT) and Static topology (PDG-ST) under small world network and scale-free network respectively. There are no significant differences in experimental results on the BA and NW networks. For the PDG-ST and PDG-DT, there are appropriate network structure entropy values, which makes the density of the cooperator peak. Simulation results show that the network structure entropy plays an universal role in the cooperation of these networks and can effectively describe the influence of network structure on cooperation.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"87 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":"115663282","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
Collaborative Convolution AutoEncoder for Recommendation Systems 协同卷积自动编码器推荐系统
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376031
Su-Zhi Zhang, Peng-Hui Li, Xiao-Ni Chen
{"title":"Collaborative Convolution AutoEncoder for Recommendation Systems","authors":"Su-Zhi Zhang, Peng-Hui Li, Xiao-Ni Chen","doi":"10.1145/3375998.3376031","DOIUrl":"https://doi.org/10.1145/3375998.3376031","url":null,"abstract":"Against traditional collaborative filtering algorithm often face the problems of high sparsity and low recommendation accuracy, we propose collaborative convolution autoencoder algorithm CCAE, which replaces the matrix decomposition training method in the collaborative filtering algorithm with the convolution autoencoder method. First, the input data drop sampling through the convolution layer and the downsampling layer to learn its efficient compression characteristics, then the data reconstruct through the deconvolution layer and the upsampling layer, and calculate the score ranking for recommendation. Experimental results show that the algorithm CCAE achieves lower RMSE than those based on autoencoder AE, stack denoising autoencoder SDAE and collaborative filtering matrix decomposition MF on movie-lens. Therefore, CCAE algorithm can effectively solve data sparsity and improve recommendation accuracy.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"4 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":"125303278","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
A Method of Expanding EEG Data Based on Transfer Learning Theory 一种基于迁移学习理论的脑电数据扩展方法
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376029
Dashuai Wang, Jimin Yang
{"title":"A Method of Expanding EEG Data Based on Transfer Learning Theory","authors":"Dashuai Wang, Jimin Yang","doi":"10.1145/3375998.3376029","DOIUrl":"https://doi.org/10.1145/3375998.3376029","url":null,"abstract":"A brain-computer interface (BCI) is a technology that provides a direct communication channel between the human brain and the external world. Its performance is usually measured based on the classification accuracy of electroencephalography (EEG) signals. Recently, a convolutional neural network (CNN) is used to classify EEG signals that achieve a high classification accuracy, but the lack of tagged data limits the development of this approach. This paper proposes a method based on transfer learning theory to prove the accuracy of the data collected and achieve the purpose of data expansion. To prove that the subject has the right motor imagination, a fast and simple CNN with two-dimensional energy maps for each electrode is proposed, which serves as the input to classify EEG data, and then the gathered data and the contest data are compared using the same training set.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"4 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":"125390226","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
A Decentralized Context-aware Cross-domain Authorization Scheme for Pervasive Computing 面向普适计算的分散上下文感知跨域授权方案
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376026
Bin Song, Min Gao
{"title":"A Decentralized Context-aware Cross-domain Authorization Scheme for Pervasive Computing","authors":"Bin Song, Min Gao","doi":"10.1145/3375998.3376026","DOIUrl":"https://doi.org/10.1145/3375998.3376026","url":null,"abstract":"Context-aware access control is one of the most frequently used methods for making authorization decisions in pervasive computing environments. To the best of our knowledge, most previous relevant researches resorted to centralized schemes to preserve all the contextual information. As a result, they neglected actual circumstances where the sources of contextual information are generally decentralized among multiple management domains with different security policies. For the sake of cross-domain access control, in this paper we present a distributed context-aware authorization mechanism for pervasive computing applications. With the help of logical language theory, we demonstrate how the proposed model can attain the goal of effective reliability assurance and privacy protection by way of constructing a decision tree dynamically, according to the current contextual information.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"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":"127897757","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
Research and Application of Improved CHAMELEON Algorithm Based on Condensed Hierarchical Clustering Method 基于精简层次聚类的改进变色龙算法研究与应用
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376016
Dongwei Guo, Jingjing Zhao, Jici Liu
{"title":"Research and Application of Improved CHAMELEON Algorithm Based on Condensed Hierarchical Clustering Method","authors":"Dongwei Guo, Jingjing Zhao, Jici Liu","doi":"10.1145/3375998.3376016","DOIUrl":"https://doi.org/10.1145/3375998.3376016","url":null,"abstract":"CHAMELEON clustering algorithm uses dynamic modeling to find high quality clusters of different shapes, sizes and densities. When the CHAMELEON algorithm constructs the k-nearest neighbor graph G, the k value is difficult to select and has a great influence on the result. Using the multi-level partitioned hMetic algorithm for segmenting large hyper graphs to divide Gk is a coarse partition, which easily leads to uncertainty of results. Aiming at this shortcoming, this paper proposes a new condensed hierarchical clustering method based on AGNES algorithm, and uses this convenient and efficient condensed hierarchical clustering method to replace the traditional hMetic algorithm to divide Gk to generate sub-clusters.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"82 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":"116413617","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: 3
Energy Coupling Control of Underactuated Three-Dimensional Bridge Crane 欠驱动三维桥式起重机能量耦合控制
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376005
Xiangming Wu, Bo Fan, Lu Wang
{"title":"Energy Coupling Control of Underactuated Three-Dimensional Bridge Crane","authors":"Xiangming Wu, Bo Fan, Lu Wang","doi":"10.1145/3375998.3376005","DOIUrl":"https://doi.org/10.1145/3375998.3376005","url":null,"abstract":"To solve the load swing caused by the acceleration of the bridge crane during the operation of the bridge crane, an energy coupled nonlinear control method for the underactuated three-dimensional(3-D) bridge crane system is proposed. Based on the fixed rope three-dimensional bridge crane system, this method introduces the load space displacement error signal, enhances the coupling relationship between trolley motion and load swing, constructs a new energy function, designs the energy coupling control law. And the stability of closed-loop control is proved by the Lyapunov method and the LaSalle invariance principle. The stability of the system can realize the functions of positioning and load anti-swing. Through the simulation results analysis, the method can effectively suppress the load swing and realize the positioning of the trolley; compared with traditional energy control, it has a better anti-swing control effect.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"167 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":"126780756","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
Robust Tracking Control for Quadrotor UAV using Sliding Mode Control Algorithm 基于滑模控制算法的四旋翼无人机鲁棒跟踪控制
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376001
Chaohui Du, Mengyang Li, Zhumu Fu, Fazhan Tao
{"title":"Robust Tracking Control for Quadrotor UAV using Sliding Mode Control Algorithm","authors":"Chaohui Du, Mengyang Li, Zhumu Fu, Fazhan Tao","doi":"10.1145/3375998.3376001","DOIUrl":"https://doi.org/10.1145/3375998.3376001","url":null,"abstract":"In this paper, robust tracking control for quadrotor UAV based on sliding mode control algorithms is discussed for attitude and position tracking. In detail, firstly, UAV model is built and simplified for developing the sliding mode control algorithms. Secondly, a trajectory tracking method of UAV based on sliding mode control is given based on the model. Then, the stability of the control system is proved by constructing Lyapunov function. Finally, through the Simulink simulation, compared with the traditional PD control method, it is verified that the sliding mode control has faster response speed and better anti-disturbance performance.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"67 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":"131249066","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
Spark Performance Optimization Analysis in Memory Tuning On GC Overhead for Big Data Analytics Spark性能优化分析在内存调优的GC开销大数据分析
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376039
Deleli Mesay Adinew, Shijie Zhou, Yongjian Liao
{"title":"Spark Performance Optimization Analysis in Memory Tuning On GC Overhead for Big Data Analytics","authors":"Deleli Mesay Adinew, Shijie Zhou, Yongjian Liao","doi":"10.1145/3375998.3376039","DOIUrl":"https://doi.org/10.1145/3375998.3376039","url":null,"abstract":"Apache spark is one of the high speed \"in-memory computing\" that run over the JVM. Due to increasing data in volume, it needs performance optimization mechanism that requires management of JVM heap space. To Manage JVM heap space it needs management of garbage collector pause time that affects application performance. There are different parameters to pass to spark to control JVM heap space and GC time overhead to increase application performance. Passing appropriate heap size with appropriate types of GC as a parameter is one of performance optimization which is known as Spark Garbage collection tuning. To reduce GC overhead, an experiment was done by adjusting certain parameters for loading and dataframe creation and data retrieval process. The result shows 3.23% improvement in Latency and 1.62% improvement in Throughput as compared to default parameter configuration in garbage collection tuning approach.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"24 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":"132720756","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
Throughput-aware Flying Communication Relay Network for Disaster Area Search and Rescue 面向灾区搜救的吞吐量感知飞行通信中继网络
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376038
Jun Li
{"title":"Throughput-aware Flying Communication Relay Network for Disaster Area Search and Rescue","authors":"Jun Li","doi":"10.1145/3375998.3376038","DOIUrl":"https://doi.org/10.1145/3375998.3376038","url":null,"abstract":"This study shows how a swarm of unmanned aerial vehicles can cooperate to guarantee network throughput for data dissemination of voices, different resolution images, and videos in research and rescue operations. In this paper, we design a flying communication relay network based on a throughput-aware virtual force mechanism. This mechanism is a virtual force-based UAV position strategy to provide different throughput according to the diverse requirements of data transfer in search and rescue operations. The simulation results indicate that the proposed mechanism shows excellent performance in terms of the number of relay nodes, packet delivery ratio, and end-to-end delay under the challenging network condition.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"50 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":"130969611","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
Research on Data Mining in Medical Data Visualization 医疗数据可视化中的数据挖掘研究
Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI: 10.1145/3375998.3376041
Hengliang Shi, Lei Zhang, Lintao Zheng, Gang Liu
{"title":"Research on Data Mining in Medical Data Visualization","authors":"Hengliang Shi, Lei Zhang, Lintao Zheng, Gang Liu","doi":"10.1145/3375998.3376041","DOIUrl":"https://doi.org/10.1145/3375998.3376041","url":null,"abstract":"Data mining is an important technology in the field of artificial intelligence. Modern medical and health industry is changing from traditional information representation to isomerization and diversification. The organic combination of the two can excavate intelligent diagnosis and treatment technologies and methods with broad application prospects. This paper mainly summarizes the current classification, regression analysis, clustering, Association rules, features, change and deviation analysis of data mining, the classical algorithms of Web page mining, and the development trend of visualization of medical data mining.","PeriodicalId":395773,"journal":{"name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","volume":"22 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":"133454628","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
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