Zhang Yongmei

A Synthesize Trust Degree Evaluation method in distributed system

With the rapid and profound changes in computing technology, distributed computing, as an important branch of it, is becoming increasingly important, and gradually shifts from academia to specific areas of application. Currently, extensive researches on cloud computing, grid computing, large-scale E-Commerce web sites are all manifestations of a distributed system. Participating entities in a distributed environment have dynamic variable characteristics in the lifetime, which make the reliable operation of the entity and the rational use of resources face a security risk. The paper, stuck to the dynamic characteristics of a distributed environment, has proposed an evaluation model of Dynamic Entity Trust Degree to solve these security issues in a dynamic distributed environment. Based on a few key concepts of the trust mechanism, we quantified and proposed a Synthesize Trust Degree Evaluating Model (STDEM) by using Direct Trust Degree, Indirect Trust Degree, Trust Weight, Trust Attenuation, and specifically quantified the evaluation parameters for every kind of trust degree, providing an assessment for the credibility of the nodes in the distributed system. Parameters of the STDEM model were analyzed through simulation experiments and the STDEM was applied to specific data distributed systems with the validity of the model verified.

The optimal path of logistics distribution in electronic commerce

Efficient and fast logistics distribution system is of paramount significance for enterprises, especially for the development of e-commerce. At present, the problem that e-commerce puzzles businessmen is logistics distribution. Based on Dijkstras shortest path algorithm, an intelligent optimal path algorithm is presented with the aid of the thoughts of state space searching and dynamic cut branch in artificial intelligence. The intelligent algorithm can optimize searching path, reduce searching scope, raise searching speed, and can be applied to solve the shortest paths in multi-graphs. Furthermore, GIS is introduced into e-commerce logistics distribution, and electronic map is displayed through the integration of MapInfo and Visual Basic. The experiment results show that the optimal path algorithm is applicable to improve the efficiency in spatial analysis of the net system.

A Moving Target Recognition Algorithm Based on Improved Mixture Gaussian Background Model

Many mutant factors in the video such as noise and illumination can easily lead to the moving target recognition error. The paper proposes a moving target recognition algorithm based on improved mixture Gaussian background model for ships and vehicles. The algorithm on account of mixture Gaussian background model and three-frame difference can obtain the potential target regions with less background under the condition of motion disturbance and light mutation in the background, extract the straight line, shape factor and Zernike moment features from the potential regions, and construct the least square support vector machine to identify the ships and vehicles. The experiment results show the algorithm can accurately identify the ships and vehicles.

Design and Implementation of the Key Technology for Calling Taxi

Since taxis are rather hard to find during rush hours, an intelligent system for calling taxi is proposed. Its main functions include calling taxi, picking up passengers, managing the user information and dispatching the centralized taxi. This paper introduces the Baidu map API for intelligent route planning, avoids going the congested road and shows the traffic route to users vividly. Changing the status of the order timely can ensure the users, the drivers and the administrators get the order’s changes in the shortest time. Another feature of this paper is the road information mining by using taxi GPS data of the Beijing. It can dig out where the passengers often appear in a certain period of time. Therefore, it can reach the optimization of resource allocation.

Mining algorithm of spatial-temporal co-occurrence pattern based on vehicle GPS trajectory

In the calculation process of spatial-temporal co-occurrence patterns, traditional methods often set the whole time frame as the actual existence time by default for all moving targets. However, in practice, existence time frame of different types is not necessarily the whole time frame. Based on this fact, the paper describes the calculation method of spatial-temporal interest degree-spatial frequency and time frequency in order to improve the practicability of co-occurrence patterns. In addition, the paper sets spatial-temporal weight coefficient for every pattern and sorts all candidates of co-occurrence patterns based on their weight. Then high efficiency co-occurrence patterns can be selected easily. Thus the proposed algorithm in this paper provides a solution to the difficulty of setting time thresholds and space thresholds in advance. And the experiment results show that the method can improve the effectiveness of spatial-temporal co-occurrence patterns simultaneously.

A New Image Fusion Algorithm for Recognition Capability Enhancements

Image fusion principles have been widely used in application of imaging remote sensing as an effective means of synergistic information combination. Multi-sensor data fusion can obtain much more and more exact information than single sensor. A sensor often with difficulty realizes target identification, multi-sensors can quite easily identify the goal. A new image fusion algorithm between multi-spectral and panchromatic images based on object recognition is presented, which focuses on the fusion rules of wavelet coefficients and the coherent selection. The algorithm makes full use of different characters of multi-spectral and panchromatic images, which can enhance recognition capability. Experiment data indicate this algorithm improves the fusion quality, and it can benefit the correct target classification. Therefore, the approach proposed is an effective method for target recognition.

A new dual-video watermarking algorithm

Research of robust and invisible double digital watermark is one of the hot fields currently, and it has received considerable attention. To change the situation that many methods about watermarking are based on embedding one single watermark, a new double digital watermark algorithm on the basis of discrete cosine transformation and image blocks is presented. The algorithm embeds both robust watermark and fragile watermark to one video sequence by using DCT and multiple embedded methods. The later embedded fragile watermark is served for the early robust watermark. The experiment results verify the algorithm achieves better robustness and imperceptibility.

Research and Implementation of Electronic Commerce Logistics Distribution Management

At present, the problem that e-commerce puzzles businessmen is safety and logistics distribution. This paper introduces GIS into the system of e-commerce logistics distribution, displays electronic map through the integration of MapInfo and Visual Basic, and presents an intelligent algorithm for state space searching for the shortest path with the aid of the thoughts of state space searching and dynamic cut branch in artificial intelligence. Realize the firewall using a packet filtering, and complete foreground goods transportation over the internet, and backstage logistics management and firewall. The experiment results show that the management software can meet the requirement of the high-speed and low-cost distribution in e-commerce, and provide the security of e-commerce logistics management software, so it can help decision makers to make sensible decisions.