Self-assembly of swarm robots is inspired by the swarm behaviors of the social insects. In this paper, we propose a enhanced self-assembling morphology distributed control algorithm of swarm robots based on the shortest distance priority. This algorithm optimizes the first two stages to directional navigation in the three stages of self-assembling morphology control including random walk, local navigation and autonomous docking. The directional navigation can improve the efficiency of self-assembly. We demonstrate the effectiveness of the algorithm in simulation-based experiment.

Taking the issue of information island in the field of security surveillance into consideration,this paper proposes a big data-based distributed cloud computing model,consisting of domain node,sub-domain nodes and terminal nodes.The terminal nodes are responsible for data collection,the domain node and sub-domain nodes take charge of data computation and data storage.Then we present an architecture of security surveillance big data based on cloud computing.Characterized by low communication bandwidth,high elasticity of extension,and easy implementation,the proposed computing model integrates the advantages of big data and cloud computing,solves the problem of information island in the field of security surveillance.

针对传统HDFS在存取海量小文件时出现的I/O性能瓶颈问题,本文提出了一种优化的HDFS存取策略.通过文件预处理、增加元数据信息和元数据批处理操作等优化策略,比较好地解决了传统HDFS处理海量小文件的性能问题.并通过试验证明了该方法的有效性.

According to the current situation of domestic higher vocational education informatization, a new higher vocation-al education administration cloud service based on SaaS and SOA is proposed. And the key technologies such as higher vo-cational education teaching management solutions、service design and assembly based on SOA、the SaaS multi_tenant mod-el are discussed. The application of information technology to the“cloud”is the new direction of the development of future education informatization.

In the field of big data application, processing the huge amount of data is an issue of great concern and a hard nut to crack in big data application basic research. It is also the main factor that affects the application of big data. Nevertheless, machine learning offers an effective approach to solving this problem. This paper reviews the research on abstract reinforcement learning, factored reinforcement learning, hierarchical reinforcement learning, relational reinforcement learning, and Bayesian reinforcement learning, analyzes their advantages and disadvantages respectively, and points out that combining supervised learning or semi-supervised learning with reinforcement learning is an effective method for machine learning in big data.

当前,我国经济转型和产业升级需要大批高素质高端技能型人才,对高职院校人才培养提出了新的要求,现有的高职人才培养模式需要进行改革和创新。文章根据国内外高技能人才培养模式的发展现状和深圳职业技术学院高技能型人才培养改革实践,提出了高职特色"主拓复合"人才培养模式,以期探索一条以社会发展为导向和以人的可持续发展为目的的高职人才培养之路。

针对大数据处理框架MapReduce中的任务调度问题,提出一种基于Markov决策过程(Markov Decision Process,MDP)的任务调度算法,通过状态集来描述集群中节点的负载和作业的数据本地性需求,使用状态转移函数表示调度策略对状态的影响,采用值迭代求解算法求取最优策略,实现集群中节点的最优调度.实验结果表明,该算法能够保证数据本地性的同时,减少作业响应时间,提高系统综合性能.

Focusing on some mistakes in constructing digital campus,presenting the ideology of implementing digital campus is that practical realistic and comprehensive plan.Based on the ideology,Shenzhen Polytechnic Digital Campus,first of all utilized overall planning,including: storage systems,enterprise high-performance servers,database software system,middleware software system,various types of business systems,digital campus portal,unified data center,information security system,operation and maintenance assurance system,information standards,central apparatus room system,and so on.Then pointed out connotation of the digital campus,including: solving island of information,building a unified data center and SOA methodology.Finally a more realistic process control methodology was used to ensure the implementation of the project.

OLAP through fast, consistent, visits each kind of possibe information view alternately, helps the data analyst, the administrator personnel, the decision-maker to see clearly the data the mystery, grasps hidden in rule. Uses the OLAP technology in the laboratory analysis system, can assist to process in the database the huge data, and transformation for useful information, thus realizes to the data induction, the analysis and processing.

<正>随着计算机网络技术的发展,整个社会正在深层次地进行着信息化、网络化革命,其应用领域越来越广泛。学校作为社会的重要组成部分,正逐步进入数字化校园时代。当前,大部分学校已经在校内的各个部门分别实施了信息化、网络化的管理,基本上主要建立了食堂售饭、图书借阅、教务管理、科研管理等系统,这些系统一般互相独立,不能共享信息,也不能交换信息,每一个系统都是一个信息孤岛。为了进一步提高学校的现代化管理

The Bank_to_School IC Card Management System is new foundational information table of digital school.The system is developed with computer network technique、database technique and intelligent IC card technique,and so on.In this paper some key techniques of this system,such as the selection of intelligent IC card、system framework、security,are studied.

当前,人工智能的研究主要分散在专家系统、模糊逻辑、神经网络、进化计算、机器学习与数据挖掘等多个领域.其中专家系统是应用最广的技术之一.但是经典的专家系统存在着"知识瓶颈"问题,严重阻遏专家系统的更深层次的应用.该文旨在运用其他智能技术和专家系统进行结合,构造一种可以进行自动知识获取和整理的新型专家系统,并进一步介绍该理论在笔者构造的基于力信息的运动员训练指导系统中的应用

人体运动仿真是由生物力学,计算机图形学,机器人学等学科交叉而形成新兴的研究方向,在许多领域都有着重大的理论和实用价值,本文将总结人体运动的建模与仿真方法,提出一种基于力信息传递的建模方法,并进一步讨论了其未来发展的趋势.

提出了数字运动员的概念,讨论了基于树型的人体结构模型及其逆运动学和动力学模型,最后结合举重运动员的抓举动作介绍了一种基于知识的数字运动员的新型的人体模型的仿真系统结构,其可以很好地解决关节空间的冗余参数的优化问题.

Bluetooth is now the newest open standard for short range radio. Through the up and coming technology, this paper presents a wireless robot sensor network. Then the system architecture, network model, HW/SW design and operating principle are also discussed.

The data acquisition and intelligent sensing network plays an important role in a robot teleoperation system. It is composed of sensing, controlling, computing, information processing, network communication, artificial intelligence and many other technologies. Compared with the traditional method, great changes have taken place in the design and production of intelligent sensors and actuators. Its future development direction is networking with intelligent interfaces. The article introduces the theory and application of field bus-based data acquisition and intelligent sensing technology in robot teleoperation system. It also discusses several key problems and corresponding solutions in this issue.

数据挖掘技术是当前国际上信息决策和处理技术方面最前沿的研究热点,而分布式数据挖掘系统则是数据挖掘技术中最具挑战性的课题之一.该文提出了一种基于软构件的分布式计算环境CORBA的新型分布式数据挖掘体系.该体系的突出特点是易于扩充性,良好的复用性和安全性,并且提出了新的知识评价结构.

感知系统是智能机器人与人、外部环境实现交互最重要的组成部分,本文基于现场总线技术,对智能机器人感知系统的总体结构、网络拓扑、软件设计、开放互联、即插即用等关键技术进行了探讨.