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Section theorem has become an important role in social economy and mathematics field. The solutions of several problems, for example, optimization problem, fixed point problem, non-cooperative game problem, complementarity problem, and variational inequality problem, can be formulated as special cases of section theorem. So it is necessary to study section problem. In the setting of topological ordered...
In this research, our aim is to increase the efficiency of individual visitors and the whole system by reducing traffic congestion in large-scale crowdpsilas activities. To achieve the goal, a route guidance mechanism with centralized information control (CIC) is proposed by granting priority to visitors using CIC. Through multi-agent simulation, we confirmed that the CIC mechanism was effective in...
This article the technology system, and analyzes factors of technology system, the ecosystem evolution theory applied technology system. Constructed model of the evolution of technology systems, and finally the use of A model and system to promote the evolution of the A model, aims to improve the speed of evolution of technology systems, promoting technological development.
In this paper we consider the mechanism design of traffic BOT project auction. We set up the model of traffic BOT project auction where firms bid on capacity and concession term, and bids are evaluated by a scoring rule designed by the auctioneer. We educe the optimal auction mechanism by analyzing the incentive compatibility. In addition, we find that the optimal capacity is chosen independently...
This paper considers an M-member "individual-based" continuous time swarm model with individuals that moving with a nutrient profile (or an attractant/repellent) in an n-dimensional space. The swarm behavior is a result of a balance between inter-individual interplays as well as the interplays of the swarm agents with their environment. It is proved that the swarm members aggregate and eventually...
This paper applies the multi-agent system Strategy to collaborative negotiation in manufacturing supply chain coordination. Multi-agent computational environments are suitable for studying a broad class of coordination and negotiation issues involving multiple autonomous or semiautonomous problem solving agents.
The evidence reasoning is one method to reason uncertainty of artificial intelligence and has better performance of decision ability under the uncertainty situation. In this paper, the evidence reasoning is introduced to distributed decision system. The method is presented to distributed intelligent decision based on the transferable belief model. The agent model and distributed decision system architecture...
The programming languages solution to local-area networks is defined not only by the improvement of neural networks, but also by the technical need for Web services. Based on the game-theoretic symmetries, the Smalltalk harnessing are introduced, applied and researched. In fact, though few experts would disagree with the synthesis of operating systems, the Smalltalk harnessing is useful and applicable...
With highly dynamic, structured P2P system needs very large maintenance cost. But there is little research on this kind of maintenance. This article focuses on reducing maintenance cost of structured P2P system and proposes a clone node protocol, CNP for short. We realize a new system based on vxusing CNP, i.e. CNChord. CNP can reduce maintenance cost greatly, and improve query efficiency at some...
The peer-to-peer (P2P) systems have many applications due to their virtues: high scalability and low cost. The systems using super-peers (SPs), which deal with all queries, instead of ordinary-peers (OPs), run more efficiently. So how to choose SPs from all peers is a key, but also a difficult problem because of the systems' heterogeneity and dynamic. In this paper a novel mechanism for the selection...
Spatial data mining (SDM) is the process of discovering interesting and previously unknown, but potentially useful patterns from large spatial databases. Being an important role of SDM, spatial clustering is to organize a set of spatial objects into groups (or clusters) such that objects in the same group are similar to each other and different from those in other groups. Spatial clustering has been...
With the aim to share and reuse conceptual design process knowledge, the paper proposed to apply one knowledge discovery approach-DFSSM in product conceptual design. According to the feature of conceptual design, one new approach of product conceptual design based on DFSSM was implemented, in which the DFSSM could mine design process knowledge from complex type data of conceptual design and the knowledge...
In order to improve the performance of KDD greatly, the paper researched KDD model process based on double bases cooperating mechanism and focused on one of its part that is heuristic coordinator, which simulated the creating intent of cognitive psychology feature. And an improved heuristic coordinator algorithm was proposed. The method used FCM representing knowledge and being effective inference...
A-priori is an influence algorithm for finding frequent item sets from association rules. But there are two hard questions may be involved for average users during finding frequent candidates. One question is massive amounts of candidates and the other is that set support count threshold for every level candidate generations. This paper discusses one algorithm called And, which is usually used in...
This paper proposes three novel laws for finding useful candidates in database and preventing useless candidates by researching frequent itemset support. Some new concepts are introduced so as to explain these three laws. For example, independent itemset and support count, which can effectively avoid losing any interest associational rules during pruning, are introduced. In this paper, firstly, some...
The research proposes an approach of story segmentation for news video using multimodal analysis. The approach detects the topic-caption frames, and integrates them with silence clips detection, as well as shot segmentation to locate news story boundaries. On test data with 135,400 frames, the accuracy rate 87.9% and the recall rate 98.7% are obtained. The experimental results show the approach is...
Semantic soccer video analysis has attracted more and more attention recently. In this paper, we present a football event detection method by using multiple feature extraction and fusion. Instead of using low-level features, the proposed method is built upon visual, auditory features, text and audio keywords. Promising event detection results have been achieved. By using the proposed method, we have...
In this paper, we propose a set of semantic cohesion metrics for ontology measurement, which can be used to assess the quality of evolving ontologies in the context of dynamic and changing Web. We argue that these metrics are stable and can be used to measure ontology semantics rather than ontology structures. Measuring ontology quality with semantic inconsistencies caused by ontology evolutions,...
A new method is emerging in the field of high-rise building in recent years. That is water supply of non-negative pressure. For the reasons of used quantity of water cannot be predicted and non-equilibrium and other reasons, the water pressure is changed notable, it cannot meet the requirements of users by water pressure. The digital PID control is the common control method in the process of manufacture...
Business process model and data model play important roles in information system construction. They represent two different perspectives of business knowledge, and are closely related. A trouble to the model quality is the inconsistency between business process model and data model, which can often conduce to interaction errors. While finding such inconsistency is a meaningful problem, it receives...
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