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2015 2nd International Conference on Information Science and Control Engineering最新文献

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Study on the Characteristics of Network Traffic Based on STFT 基于STFT的网络流量特性研究
L. Liang, Jiang Han-hong, Rui Wan-zhi, Wangqun Jie
Aiming at a practical industrial network control system, this paper makes an analysis of types of data, their traffic and directions under different working conditions, and a selection of a link of maximum traffic as a typical one. The method of passive measurement is used to obtain the packets of different protocols passing through the link. The traffic of the corresponding protocols can be calculated according to the size and arrival time of packets. It is found from the analysis of the characteristics of main protocols that the traffics of this control system are of relatively smooth periodicity as well as abruptness, but not of obvious self-similarity or long-range dependence, which are theoretical verified. Hence, the traffic is considered a periodically abrupt process approximately on a large time scale, but not suitable for a long-range dependent or self-similar model.
针对一个实际的工业网络控制系统,分析了不同工况下的数据类型、流量和方向,选择了流量最大的链路作为典型链路。被动测量的方法是获取通过链路的不同协议的数据包。根据报文的大小和到达时间,可以计算出相应协议的流量。通过对主要协议特性的分析发现,该控制系统的流量具有相对平滑的周期性和突发性,但不具有明显的自相似性和远程依赖性,这在理论上得到了验证。因此,交通被认为是一个大时间尺度上的周期性突变过程,而不适合长期依赖或自相似模型。
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引用次数: 3
Multi-relay Selection in Decode-and-Forward Cooperative Network Based on Genetic Algorithm 基于遗传算法的译码转发合作网络多中继选择
Xi-Li Dai, J. Zhang, Qian Zhang
A novel multi-relay selection algorithm based on genetic algorithm (GA) in dual-hop decode- and-forward cooperative network is presented. The quality of service is expressed by the condition that the SNR of destination should be larger than 22R -- 1 according to Shannon information capacity, in which R is its data-rate requirement. Moreover, residual energy status parameter of the network using the total energy of each node along with [0, 1] indicator are modelled in order to prolong the network lifetime. The optimization problem is to minimize the residual energy under the SNR condition. It is a NP-complete one, and a general GA is exploited to search out the solution. Simulation results show that the proposed algorithm can preserve the network lifetime much longer than opportunistic relay.
提出了一种基于遗传算法的双跳解码转发合作网络多中继选择算法。根据香农信息容量,用目的地信噪比大于22R—1来表示服务质量,其中R为其数据速率要求。利用各节点的总能量和[0,1]指标对网络的剩余能量状态参数进行建模,以延长网络的生存期。优化问题是在信噪比条件下使剩余能量最小。它是一个np完全问题,并利用一般遗传算法来搜索解。仿真结果表明,该算法比机会中继保持的网络生存期要长得多。
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引用次数: 2
Chronic Disease Management System Design Based on Cloud Storage Architecture 基于云存储架构的慢性病管理系统设计
Yongqiu Tu, Yishuan Huang, Faling Yi
Traditional Chinese medical (TCM) management system for chronic disease is designed based on distributed storage architecture. The system composed of three modules, namely, medical records collection module, information storage and processing module, and chronic disease education module. Among them, the patient information recorded in the collection module may come from three different information collection devices: computer, image acquisition, and cell-phone. Cloud storage technology is applied to integrate these records to a comprehensive chronic disease information management database. In the information processing module, statistical analysis, early warning assessment and patient guidance algorithms are designed for implementing active medical service, treatment program management, real-time monitoring and other functions. The chronic disease education module is a website, which provide chronic disease health knowledge to patient and help them achieve self-management.
基于分布式存储架构设计了慢性病中医管理系统。系统由病历采集模块、信息存储与处理模块、慢性病教育模块三个模块组成。其中,采集模块记录的患者信息可能来自三种不同的信息采集设备:计算机、图像采集和手机。采用云存储技术,将这些记录整合到一个综合性的慢性病信息管理数据库中。在信息处理模块中,设计了统计分析、预警评估和患者引导算法,实现了主动医疗服务、治疗方案管理、实时监控等功能。慢性病教育模块是一个向患者提供慢性病健康知识,帮助患者实现自我管理的网站。
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引用次数: 5
Fiber Grating Measurement of Temperature of GIS Bus Conductor GIS总线导体温度的光纤光栅测量
Peng Yun-feng, Shu-chang, Shao Zhi-chao, Qu Fu-Qi
This paper studies the principles of Raman scattering-based fiber temperature measurement technology and fiber Bragg grating-based (FBG-based) temperature measurement technology. In light of the situation of temperature measurement of GIS bus conductor, it compares the performance and technical indexes of Raman scattering-based temperature measurement scheme and FBG grating-based temperature measurement scheme. On this basis, it selects FBG temperature-measurement scheme for the temperature measurement of GIS bus contact.
本文研究了基于拉曼散射的光纤测温技术和基于光纤布拉格光栅的光纤测温技术的原理。针对GIS总线导线测温的现状,比较了基于拉曼散射的测温方案和基于FBG光栅的测温方案的性能和技术指标。在此基础上,选择光纤光栅测温方案对GIS总线接点进行测温。
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引用次数: 3
Query Processing Based on Associated Semantic Context Inference 基于关联语义上下文推理的查询处理
Y. Yao, Jin Yi, Yanzhao Liu, Xianghui Zhao, Chenghao Sun
Context-based query processing methods are used to capture user intents behind query inputs. General context models are not flexible or explicable enough for inference, because they are either static or implicit. This paper improves current context model and proposes a novel query processing approach based on associated semantic context inference. In our approach, the formal defined context is explicit, which is convenient to explore potential information during query processing. Furthermore, the context is dynamically constructed and further modified according to specific query tasks, which ensures the precision of context inference. For given query inputs, the approach builds concrete context models and refines queries based on semantic context inference. Finally, queries are translated into SPARQL for query engine. The experiment shows that the proposed approach can further improve query intents understanding to guarantee precision and recall in retrieval.
基于上下文的查询处理方法用于捕获查询输入背后的用户意图。一般的上下文模型对于推理来说不够灵活或可解释,因为它们要么是静态的,要么是隐式的。本文改进了现有的上下文模型,提出了一种基于关联语义上下文推理的查询处理方法。在我们的方法中,正式定义的上下文是显式的,这便于在查询处理期间探索潜在信息。此外,上下文是动态构建的,并根据具体的查询任务进行修改,保证了上下文推理的准确性。对于给定的查询输入,该方法构建具体的上下文模型,并基于语义上下文推理对查询进行细化。最后,将查询转换为SPARQL供查询引擎使用。实验表明,该方法可以进一步提高查询意图理解能力,保证检索的查准率和查全率。
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引用次数: 4
Neural-Network Decoupled Sliding-Mode Control for Inverted Pendulum System with Unknown Input Saturation 未知输入饱和倒立摆系统的神经网络解耦滑模控制
Tang Xiaoqing, Chen Qiang
In this paper, a neural-network decoupled sliding-mode control (NNDSMC) scheme is proposed for inverted pendulum system with unknown input saturation. The input saturation is approximated by a smooth affine function according to the mean-value theorem. By decoupling the whole inverted pendulum system into two second-order subsystems, two sliding manifolds are designed for each subsystem, in which the first sliding manifold includes an intermediate variable related to the second one. Finally, a nonsingular terminal sliding-mode control is employed for both subsystems by using a simple sigmoid neural network to approximate the unknown system nonlinearity. Simulations show the effectiveness of the presented method.
针对输入饱和未知的倒立摆系统,提出了一种神经网络解耦滑模控制方案。根据中值定理,用光滑仿射函数逼近输入饱和。通过将整个倒立摆系统解耦为两个二阶子系统,为每个子系统设计两个滑动流形,其中第一个滑动流形包含一个与第二个滑动流形相关的中间变量。最后,利用简单的s型神经网络对两个子系统进行非奇异终端滑模控制,逼近系统的未知非线性。仿真结果表明了该方法的有效性。
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引用次数: 2
Transient Position Recognition of Roller Coaster Based on the Detected Motion Signal Characteristics 基于检测运动信号特征的过山车瞬态位置识别
Zhao Liu, Lei Wang, Bo Xie, Yutian Zhu, Zhengrong Miao, J. Yao
The operation of the roller coaster is a typical position-dependent non-stationary process, and its vibration signal analysis is closely related to the transient position. For further study, experiments were taken on the roller coaster of a certain amusement park. The mixed signals of motion and vibration were collected by the pre-developed data acquisition instrument. Data smoothing processing is performed by subsection curve fitting method and the detected motion signal is extracted to analyze its characteristics. The dynamic model of roller coaster is established to study the corresponding relations between the motion signal characteristics and the transient position of roller coaster. The analysis results show that the characteristics of movement detected signal could effectively reflect the transient position of the roller coaster and could provide the theoretical and practical foundation for further study on the position-dependent non-stationary signal process.
过山车的运行是一个典型的位置依赖非平稳过程,其振动信号分析与瞬态位置密切相关。为了进一步研究,我们在某游乐园的过山车上进行了实验。运动和振动的混合信号由预研制的数据采集仪采集。采用分段曲线拟合方法对数据进行平滑处理,提取检测到的运动信号,分析其特征。建立了过山车的动力学模型,研究了运动信号特征与过山车瞬态位置的对应关系。分析结果表明,运动检测信号的特征能有效地反映过山车的瞬态位置,为进一步研究位置相关的非平稳信号处理提供了理论和实践基础。
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引用次数: 2
Evolutionary Game Theory Based Network Selection for Constrained Heterogeneous Networks 基于进化博弈论的约束异构网络选择
Nannan Sui, Dongmei Zhang, Wei Zhong, Lianguo Wu, Zhensong Zhang
Network selection plays an important role in load balancing and radio resources management. In this paper, we use the evolutionary game theory to address the network selection problem in the constrained heterogeneous networks. An indication function is introduced into the payoff function to represent the punishment term. The population dynamics can be obtained by the replicator equations. A centralized population evolution algorithm is proposed to implement the evolutionary game. At last, the validity of our analysis and the proposed algorithm is verified by numerical results and Monte Carlo simulations.
网络选择在负载均衡和无线资源管理中起着重要的作用。本文利用进化博弈理论研究了约束异构网络中的网络选择问题。在收益函数中引入指示函数来表示惩罚项。种群动态可以由复制因子方程得到。提出了一种中心化种群进化算法来实现进化博弈。最后,通过数值结果和蒙特卡罗仿真验证了分析和算法的有效性。
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引用次数: 6
Discussion on Psychological Perception Representation and Knowledge Acquisition of Table Tennis Players 乒乓球运动员心理知觉表征与知识习得探讨
Xinhe Gong, Peiliang Ling, Xianming Meng
During the process of table tennis sports, the players' psychological situations are always in a rapidly changing. According to the characteristics of table tennis sports and based on computer technology application and artificial intelligence theory, this paper mainly studies psychological perception representation and knowledge acquisition of table tennis players. Then it develops the psychological multimedia information intelligence system to gather and analyses information of table tennis players. It also carries on the training, competition and case analysis to inspect and obtain a good response.
在乒乓球运动的过程中,运动员的心理状态总是处于快速变化之中。本文根据乒乓球运动的特点,以计算机技术应用和人工智能理论为基础,主要研究乒乓球运动员的心理知觉表征和知识获取。在此基础上,开发了心理多媒体信息智能系统,对乒乓球运动员的心理信息进行采集和分析。并通过培训、比赛、案例分析等方式进行考察,取得了良好的反响。
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引用次数: 2
Research on the Buffer Management Algorithm in DTN DTN中缓冲区管理算法的研究
Feng Liu, Xiangyu Bai
In Delay and Disruption Tolerant Networks (DTN), because of its intermittent connectivity features, resulting in packet transmission process cannot ensure end to end path, usually employ a "store - carry - forwards" approach to forward the message. Currently the key method to solve information exchange in DTN is select forwarding nodes effectively. Made the information deliver to the destination successfully within a short time and reduce resource overhead. At the same time, the load of selected nodes will be increased correspondingly and the requirement to the buffer also increased, then the management of the buffer become particularly important. The buffer management not only includes the message dropping, but also includes message forwarding. In this paper, we mainly analysis of the existing buffer management algorithm, and also analysis some social attributes in favor of selecting forwarding nodes in DTN. We put forward the buffer management algorithm based on social attributes in DTN in future work.
在容忍延迟和中断网络(DTN)中,由于其间歇性连接的特点,导致分组传输过程不能保证端到端路径,通常采用“存储-携带-转发”的方式来转发消息。目前解决DTN信息交换的关键方法是有效选择转发节点。使信息在短时间内成功传递到目的地,减少资源开销。同时,所选节点的负载也会相应增加,对缓冲区的要求也随之增加,这时对缓冲区的管理就显得尤为重要。缓冲区的管理不仅包括消息的删除,还包括消息的转发。本文主要分析了现有的缓存管理算法,并分析了一些有利于DTN转发节点选择的社会属性。在以后的工作中,我们提出了基于社会属性的DTN缓冲区管理算法。
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引用次数: 1
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2015 2nd International Conference on Information Science and Control Engineering
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