摘要：
In mobile learning concept. In the first part, the reconstruction of the digital learning resources classification model is established, and then the the cloud based education platform "teacher student subject knowledge ontology" three-dimensional space application model based on. Finally, it designs the subject knowledge ontology resource information model, fully embodies the learning resources evolution, distribution and openness, to achieve basic education learning resources of convergent evolution and semantic polymerization, small granularity reuse and sharing, provides a good protection,
摘要：
The knowledge discovery mode of collaborative project management is built on the analysis of post Agent's work mechanism and the self-organizing neural network SOM. The goal is to built knowledge discovery model synchronized with the project process or the knowledge discovery mode of collaborative project management through the project information timely and intelligent acquisition and establish the project management information mechanism. Cooperation is the essential element of any project management activities. In the project management activity, Who was involved, how to participate, and how is the participation play a decisive role in the success or failure of project management. Cooperation is the essence of collaboration between different posts, it is meaningless to talk about collaborative project management mode without post.
会议名称：
2014 IEEE International Conference on Communication Problem-Solving (ICCP)
会议时间：
DEC 05-07, 2014
会议地点：
Tech Program, Beijing, PEOPLES R CHINA
会议主办单位：
Tech Program
摘要：
The multi-antenna configurations used in MIMO (multi-input multi-output) system can greatly improve the transmission reliability and channel capacity. Antenna selection technique can reduce the implementation complexity and hardware cost while maintaining the advantages of MIMO system. Aiming at selecting the optimal antenna subset quickly in the changeable channel environment, a binary particle swarm optimization (BPSO) based method is proposed for joint transmit and receive antenna selection. By combining the channel capacity with binary coded string as the objective function of PSO, the joint MIMO antenna selection issue is formulated as a combinatorial optimization problem. Extensive Monte-Carlo simulations results show that BPSO greatly reduces computational complexity and nearly achieves the optimal performance as the exhaustive selection algorithm.
摘要：
To understand and master the alien biological disaster knowledge is the basis for right control of alien biology. Ontology is the tool for knowledge sharing and integration. Aiming at alien biological disaster knowledge, the construction thought of alien biological disaster knowledge ontology is analyzed in this paper, and a kind of highly structured organization of domain ontology construction method of MSOBCO and MSOBCO development method has been put forward and alien biological disaster knowledge ontology integration has been analyzed.
摘要：
The traditional diagnostic methods such as plant nutrition DRIS, M-DRIS, DOP, have different advantages. there will be a different result during diagnosis, causing difficult for users to make decisions. Evidence theory is a very effective method of uncertainty theory, which is one of fusion technology. Because evidence synthesis formula is based on different expertise knowledge, so that it provides a good way for the user to make decisions. Based on the preponderance of evidence theory, fusion model of nutrition diagnosis has been constructed in this paper. What is more, fusion treatment is used to the three diagnostic methods DRIS, MDRIS, DOP, and the results indicate that the model is feasible.
会议名称：
3rd International Conference on Photonics and Image in Agriculture Engineering (PIAGENG) - Image Processing and Photonics for Agricultural Engineering
摘要：
In view of virtual plant has practical demands on quality, image and degree of realism animation in growing process of plant, this thesis design the animation based on mechanism and regularity of plant growth, and propose the design method based on 3D MAX technology. After repeated analysis and testing, it is concluded that there are modeling, rendering, animation fabrication and other key technologies in the animation design process. Based on this, designers can subdivid the animation into seed germination animation, plant growth prophase animation, catagen animation, later animation and blossom animation. This paper compounds the animation of these five stages by VP window to realize the completed 3D animation. Experimental result shows that the animation can realized rapid, visual and realistic simulatation the plant growth process.
会议论文集名称：
2011 3rd International Conference on Computer and Automation Engineering(ICCAE
2011)(2011年第三届IEEE计算机与自动化工程国际会议)论文集
关键词：
Binary tree;lowest common ancestor;Criterion
摘要：
Finding the lowest common ancestor (LCA) of two nodes in a binary tree has been focused both in graph theory and computer science. The paper puts forward and proves an analytic criterion for the LCA of two neighboring nodes in a complete binary tree. The criterion mainly concerns addition, subtraction and bitwise operations, needs no searching procedures and thus is easy to implement in software programming as well as hardware programming. An algorithm that has logarithmic time complexity is also presented with C-language implementation in the paper.
摘要：
The use of Cloud computing systems to run large-scale scientific, business and consumer based IT applications has increased rapidly in recent years. More and more Cloud users concern the data privacy protection and security in such systems. A natural way to tackle this problem is to adopt data encryption and access control policy. However, this solution is inevitably introduced a heavy computation overhead. In this paper, we first establish a trust model between Cloud servers and Cloud users. Then, we build the trust-aware attribute-based access control policies according to Cloud user trust level and Cloud request attributes. This technique can give different encryption and decryption data to Cloud user and substantive reduce the computation overhead of Cloud computing.
摘要：
Multi-objective optimization (MOO) involves optimization problems with multiple objectives. Generally, theose objectives is used to estimate very different aspects of the solutions, and these aspects are often in conflict with each other. MOO first gets a Pareto set, and then looks for both commonality and systematic variations across the set. For the large-scale data sets, heuristic search algorithms such as EA combined with MOO techniques are ideal. Newly DNA microarray technology may study the transcriptional response of a complete genome to different experimental conditions and yield a lot of large-scale datasets. Biclustering technique can simultaneously cluster rows and columns of a dataset, and hlep to extract more accurate information from those datasets. Biclustering need optimize several conflicting objectives, and can be solved with MOO methods. As a heuristics-based optimization approach, the particle swarm optimization (PSO) simulate the movements of a bird flock finding food. The shuffled frog-leaping algorithm (SFL) is a population-based cooperative search metaphor combining the benefits of the local search of PSO and the global shuffled of information of the complex evolution technique. SFL is used to solve the optimization problems of the large-scale datasets. This paper integrates dynamic population strategy and shuffled frog-leaping algorithm into biclustering of microarray data, and proposes a novel multi-objective dynamic population shuffled frog-leaping biclustering (MODPSFLB) algorithm to mine maximum bicluesters from microarray data. Experimental results show that the proposed MODPSFLB algorithm can effectively find significant biological structures in terms of related biological processes, components and molecular functions. The proposed MODPSFLB algorithm has good diversity and fast convergence of Pareto solutions and will become a powerful systematic functional analysis in genome research.
关键词：
personalized information services;push technology;three-dimensional specific visualization of information;user interest update;user classification
摘要：
Push technology as a proactive type of information acquisition method of communication, it has an effective way to achieve personalized information services. However, the effect of push technology is general in personalized service practice. Push technology still not resolved its two historical problems, which are user reasonable classification and update user interest. Facing these problems, this paper proposed a new method called information of three-dimensional concrete, and based on this new method, with reasonable mathematical methods, the authors proposed reasonable interest of users update and user classification mechanism, constructing the model which is suitable for personal classification and update user were effectively overcame. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Conference ESIAT2011 Organization Committee.
摘要：
On the basis of analysis of characteristics of ZigBee wireless sensor networks, this paper uses the modular method to realize the ZigBee agreement stack. From the system's hardware and software processes, etc., describes remote acquisition of geological information and wireless monitoring system design based on wireless sensor networks, the system reliably implement features such as temperature and humidity monitoring, ad-hoc networks with low power, low cost, high reliability features. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Society for Automobile, Power and Energy Engineering
摘要：
Based on analyzing the traditional template matching algorithm, this paper identified the key factors restricting the speed of matching and put forward a brand new fast matching algorithm based on projection. Projecting the grayscale image, this algorithm converts the two-dimensional information of the image into one-dimensional one, and then matches and identifies through one-dimensional correlation, meanwhile, because of normalization has been done, when the image brightness or signal amplitude increasing in proportion, it could also perform correct matching. Experimental results show that the projection characteristics based image registration method proposed in this article could greatly improve the matching speed, which ensuring the matching accuracy as well.
会议论文集名称：
Communications in Computer and Information Science
关键词：
802 11PSM;Ad Hoc network;power management;transmission delay
摘要：
Nodes in Ad Hoc network are typically powered by batteries, so how to improve energy efficiency, save energy and prolong the life span of networks are critical problems at all layers of the protocol stack. IEEE802 11 specifies power saving mechanism (PSM) under distributed coordination function (DCF) for energy efficiency. On the basis of an analysis and comparison IEEE802 11PSM, this work proposes an adaptive power saving mechanism (EPSM) EPSM improves PSM model that could only send one package in one BI, dramatically reduces transfer delay, and prolongs the life span of central nodes to save energy using central nodes alternant wake- up The results of simulation show that EPSM has better performance than PSM in decreasing transportation delays, saving energy, and prolonging life span of nodes.
摘要：
Use of fuzzy theory to classify the Chinese WEB text, so that after the web text classification is clearly no longer belong to a class or belonging to a class, but to a certain degree of belonging to various categories of membership. The paper discuss a algorithm of web text fuzzy classification, Calculate method and calculate formula of improve text feature item weight has been proposed. This paper presents a comprehensive evaluation based on fuzzy classification fuzzy reasoning model that weighted fuzzy comprehensive evaluation as a basis to use this article gives an "integrated weighted type" operator, based on a community and the - plot for algebraic reasoning operation, to avoid complex data model, to ensure the accuracy and reliability of inference results, modified weight will help improve the effectiveness of classification
关键词：
construction machine;multi-Agent technology;fuzzy;fault diagnosis
摘要：
The number of construction machinery faults is too much and its diagnosis are fuzzy and complex. We construct the fault hierarchy model by the means of hierarchy analysis and obtain all kinds of Possibility degree of faults factors through the triangular fuzzy complementary judgment matrix. Take the fault diagnosis of diesel engine fuel system, this paper establish intelligent fault diagnosis system, which has the ability of self-learning and self-correction using multi-agent technology.
