Advanced Materials Research Vols. 121-122

Abstract: The mistrust between buyers and sellers in C2C electronic commerce has been affecting its development. The accuracy and the reliability of the reputation system are still not high because of the existence of vicious users. This paper builds a comprehensive reputation based trust model by choosing the suitable influential factors in trust and the simulation results prove that this model has a higher accuracy and reliability.

Abstract: Snakes are extensively used in computer vision and Image processing. However, when it comes to the liver segmentation from computed tomography (CT) image, the application of the models is limited because it can not extend to certain boundary indentations of the liver. In order to solve this problem, we developed an improved GVF snake model by adding an external force field which can efficiently attract the initial contour to these depression areas, such as the top of the left lobe of liver. The proposed method includes two steps. Firstly, combined with the threshold method and the morphology operation, our model can acquire the initial contour of the liver. Secondly, we create an imposed external force field through the interaction with the system, and we make the initial contour converge under the influence of both GVF field and imposed external force field to get the accurate contour of the liver. The application of this method on abdominal CT image is demonstrated, both qualitatively and quantitatively.

Abstract: In this paper, we used UML method to complete the whole hospital information system analysis and design. It is described the system and determine the requirement of system’s function. It also completes the system’s architecture design and detailed design and implement to the system. The main idea of thesis is as follows: 1）It adopt UML to object-oriented the modeling hospital information system, and will be a good way to solve a few questions from hospital information system in nowadays. 2）It moves around the main ideas of RUP (use-case driven, architecture-centric, iterative and incremental). At the beginning of get demand, through the system analysis, system design, until to the final of the system implementation. It adopts the stepwise deduction to go deep into the way of refining organization to anatomize the whole the process of the hospital information system. Through the success of the hospital information system modeling to prove that the core idea of the UML-based on RUP modeling techniques is practical in the development of large-scale of application systems. At the same time, it also prepared to provide a better reference and instance for the project or team to adopt this technology.

Abstract: As the current personalized recommendation systems of Internet bookstore are limited too much in function, this paper build a kind of Internet bookstore recommendation system based on “Strategic Data Mining”, which can provide personalized recommendations that they really want. It helps us to get the weight attribute of type of book by using AHP, the weight attributes spoken on behalf of its owner, and we add it in association rules. Then the method clusters the customer and type of book, and gives some strategies of personalized recommendation. Internet bookstore recommendation system is implemented with ASP.NET in this article. The experimental results indicate that the Internet bookstore recommendation system is feasible.

Abstract: Aiming at the drawback of large calculation and slow convergent speed in BP algorithm, this paper proposes a new BP algorithm with the concept of error deviation rate. By carrying out serious methmatical deduction, the paper revises the the chain rule of traditional BP algorithm and proves its theoretical feasibility. Then, this paper applies it to Chinese stock market and has gained quite well convergent speed and predicting effect, consequently proving the new method’s effectiveness.

Abstract: Remotely sensed imagery with high spatial resolution often shows serious intra-class spectral variations and details disturbances. This leads to disadvantages on automatic image classification. To increase accuracy of classification, this paper presents a novel multiphase level set method by an optimization of probability density function(pdf) estimation using Total Variation(TV). Specifically, density estimation method using Total Variation originally from image denoising is introduced to well improve “roughness” of pdf caused by spectral variations and details disturbances. Then, the optimized pdf is used to improve Mansouri’s model so as to alleviate local minimum solutions and to further increase classification accuracy. Evidential experiments on IKONOS, QuickBird-2 satellite imagery have demonstrated that our proposed density estimation method is very effective and robust even if in complex scene. Consequently, the improved multiphase level set model has yielded a great increase in classification accuracy. The classification result is more approaching to that of human vision interpretation.

Abstract: It is necessary that formal proof for correctness of relational algebra expressions. It can effectively improve the reliability of database query program. The aim of the present study is to present a proof method for correctness of relational algebra expressions. The basic idea about this proof method is explained as follows. Based on the semantics of relational algebra operators, according to the characteristic of relational algebra expressions, we can formally derivate the semantic of an algebra relational expression. And then we can compare this semantic with the specification. If they are equal logically, the relational algebra expression is correct, otherwise, the relational algebra expression is wrong. This article explains the mean and necessity of proving the correctness of relational algebra expressions. Some rules of formal deduction are presented. Based on it, we present a proof method for correctness of relational algebra expressions. Next, a application is given to illustrate this proof method. At last, conclusions and discussions about this proof method are given. As far as we known, there is no other work which is about proof method for the correctness of a relational algebra expression to the database query specification based on the given semantics.

Abstract: In this paper ACO (Ant Colony Optimization) algorithm, which is a well-known intelligent optimization method, is applied to selecting parameters for SVM.ACO has the characteristics of positive feedback, parallel mechanism and distributed computation. This paper gives comparison of ACO-SVM, PSO-SVM whose parameters are determined by particle swarm optimization algorithm, and traditional SVM whose parameters are decided through trial and error. The experimental results on real-world datasets show that this proposed method avoids randomness and subjectivity in the traditional SVM. Additionally it is able to gain better parameters which could dedicate to a higher classification accuracy than the PSO-SVM. Results confirm that proposed optimization method is better than the two others.

Abstract: In order to obtain panoramic view of medical micro-image in remote medical diagnosis system, we should mosaic micro-image sequence accurately in remote node. SIFT features are invariant to image scaling, rotation and translation. The aim of this study is to mosaic micro-image sequence by extracting SIFT features. Firstly, search coordinate of potential features through Gaussian pyramid (with 7 octaves × 6 scales) and then filter pseudo-keypoints. Secondly, describe these features with 128-D vector. The next step is to calculate matching keypoint pairs between two time-successive images according to minimum Euclidean distance. In this step, standard deviation comparing is proposed to eliminate wrong matching pairs and appropriate threshold(8000) through experiment is used to insure matching pairs. Then, construct image motion equation considering rotation and translation and compute motion parameter by solving equation according matching pairs. Finally mosaic all images. These steps are applied in 5 micro-image sequences such as slices of lung tissue, spleen, kidney, frog blood cell and sunflower tissue. The experiment results show that the gap between two images is vanishing and the proposed method can satisfy with medical micro-images sequence mosaic.

Abstract: In this article an Immune Based Intrusion Detection Model (IBIDM) was built to simulate the dynamic relationships between the intrusion antigen intensity and the antibody concentration in the biological immune systems. In IBIDM, traditional detection rules and network traffic patterns are mapped to antibodies and antigens respectively. The network security situation is presented in the form of detector numbers to help reduce false alarm rate. Computer simulations show that the proposed model is effective for intrusion detection.