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In this paper we present a model of the formation and evolution of innovation network in an oligopolistic industry. A series of theoretical analysis of knowledge characteristics and simulation analysis of the weighted efficient have been studied. The results indicate that there exists the optimal relative knowledge distance and the codified extent of knowledge for collaboration. Moreover the weighted...
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...
In this paper, we propose a new method of affective cognitive of images. We use 9 pictures that constitute the famous psychologist Furnham's shape & color test as standard templates. In the HSV color space, we get a vector which has 72 dimensions by using part-division method on color character., and color characters are normalized, We measure the template image and other images the similarity...
In recent years, as the development of wireless sensor networks, people do some deep research on cluster-based protocol, most about the prolongation of the lifetime of WSN and decline of energy consumed by the sensors .This article analyses the cluster-heads generating algorithm among LEACH and presents improved approach that adjusting the nodes, threshold function. When non cluster-heads choose optimal...
This system is modeled on the distance perception methods of human eyes. It uses DSP to process the images obtained by two CCD cameras and calculate the distance by the principle of parallax. This paper describes the working principle and hardware platform design. It focuses on the image matching methods based on Canny edge detection and Harris corner detection. The results of the experiment show...
Currently those algorithms to mine the alarm association rules are limited to the minimal support, so that they can only obtain the association rules among the frequently occurring alarms. This paper proposes a new mining algorithm based on spectral graph theory. The algorithms firstly sets up alarm association model with time series; Secondly, it regards alarms database as a high-dimensional structure...
Along with increasing credit cards and growing trade volume in China, credit card fraud rises sharply. How to enhance the detection and prevention of credit card fraud becomes the focus of risk control of banks. This paper proposes a credit card fraud detection model using outlier detection based on distance sum according to the infrequency and unconventionality of fraud in credit card transaction...
In semantic Web, ontology mapping is the basis of the interoperation of heterogeneous ontologies. Ontologies are usually distributed and heterogeneous and thus it is necessary to find the mapping between them before processing across them. The current ontology mapping methods merely use massive Web pages in the Internet and they are unpractical to subsequent interoperation and integration of heterogeneous...
An improved Fish-Search algorithm was proposed for airplane route planning of a class of Plane-Missile cooperation. The mathematical description of this class of cooperation was introduced. Comprehensively considered such key factors of the cooperation as inter-visibility, threat, maximum distance and relative orientation, the constraint conditions and evaluation index were constructed. According...
The multidepot vehicle routing problem with interdepot routes (MDVRPI) is an extension to the classical vehicle routing problem (VRP); it is the major research topics in the supply chain management field. It is an extension of the multidepot vehicle routing problem in which vehicles may be replenished at intermediate depots along their route. In this paper, we propose a heuristic combining the adaptative...
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...
Technology Innovation is the decisive factor to improve enterprise core competence, and staffs are the core element in carrying out technology innovation. Based on the actual situation of the Chinese retail enterprises, and using Hofstede's cultural dimensions to measure the dimensions of individual staffpsilas cultural value, this paper probes into the effect of differences of staffs' cultural value...
We propose a novel way to apply independent component analysis (ICA) on eight kinds of visual descriptors (features), and combine the eight features of the same database to extract independent component (IC) feature of each feature. A comparative study on the retrieval performance has been done between the original features and IC features in four image databases. Experiment results show that the...
Along with the development of internet, a lot of new data appears in the web every day. To construct a retrieval model to adapt the new data quickly and to retrieval the new documents accurately is becoming an important research topic. In this paper, we put forward a new retrieval model by incorporating the theory of transfer learning with Markov Network. Firstly, compare term spaces network of old...
With the severer and severer market competition, more and more enterprises pay attention to informatization construction, and even some domestic small and middle enterprises (SME) also take the management of suppliers and customers into their informatization construction system. However, when enhancing exterior informatization construction, enterprises always ignore their inventory management and...
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