Read-write rule property research of the combined function about the confidentiality and integrality

Read-write rule about the combined function at the article function will be discussed in this paper. There are some good properties about the function, and its read-write rule is a read-write rule expansion of BLP model and Biba model by analysis in this paper.     

Finite Element Analysis of Steam Turbine Diaphragm

Thediaphragmofsteam turbine isoneofthemainpartsofthepassageunitfor air flowing.For studying its working conditionand performance, the three-dimensionalfinite element model（FEM）with thesoftware ANSYS10.0 isestablished according to theactualworking parameters. With the model, the deformation resultsand stress field resultsare analyzed andthe maximum displacement and stress value are calculated, meanwhile,theircorrespondingpositions are found. It provides a good foundationfor solving the problem inproduction.     

An adaptive image watermarking algorithm based on perceptual model

An adaptive image watermarking algorithm based on Watson＇s perceptual model is proposed in this paper. The proposed watermarking algorithm fully considers image regional characteristic. First, the cover image is divided into different smooth regions according to its gray value. Then watermark adjustment factors of those different regions are calculated respectively based on Watson＇s perceptual model. The watermark is embedded by the adjustment factors at last. Experiments show that the proposed algorithm has excellent imperceptibility and has little influence upon the eigenvalue of the cover image.     

A new theory branch for finance market study —Computational experimental finance review and synthesis

This paper provides a detailed synthesis of the computational experimental finance from four parts. （i）its theoretical basis-CAS （Complex Adaptive System） theory, （ii） the approach and method used for financial market study, （iii） research results-a number of valuable literatures review （iv） the existing problems and further research directions of this subject. Based on the challenge to the standard finance theory, the computational experimental finance is an exciting new field because it integrates CAS theory with computer technology and intends to reveal the macroscopic features of finance market from the penetration of the microscopic behaviors of investors by constructing the agent-based artificial financial market model The synthesis has prevalent meaning of guidance for new researchers allowing them to learn systematically more about the computational experimental finance.     

Smart assistive reminder for elders with memory decline

Most elders suffer from different levels of memory decline, from severe to mild. For supporting the independent living and providing the smart services to the elders, assistive reminder technology has been proposed as a promising approach to address these challenges, which are able to provide necessary help to elders in appropriate time. This paper investigates the smart assistant technique. We propose a user behavior model to describe activities of the forgetful elderly. Based on this model, we develop a smart assistive reminder, which provides reminders according to elders＇ practical needs, and avoids unnecessary notifications that will disrupt the elders＇ life. The preliminary experiments evaluate the effectiveness of our approach.     

A Multi-Agent Resource Selection Model in Manufacturing Grid Environment

A group of agents are intimately cooperated to set the assessment indices, establish the weight of each index in overall result of evaluation, collect the experts＇ scores given to each available resource, and the manufacturing resource whose overall assessment value is highest is taken as the optimal choice. Architecture of the proposed system is outlined and an example is offered to show the process of accomplishing the assessment.     

Study of Lyapunov exponent spectra for axial-flow compression system

The Lyapunov exponent spectra of the axial-flow compression system＇s Moore-Greitzer model was researched with chaos theory. When the parameter B of the MG model is greater （surge） or smaller （stall）, the system＇s Lyapunov exponent spectra are all （0, -）. So the compressor＇s working points are all on a limit circle, when the compressor is in the state of surge or stall. When the compressor is surge, it can come into a full limit circle, but in the stall, it can not. The conclusion was applied to detect the stall of the compressor. The numerical experimentation results demonstrate that the method can exactly detect the stage of the first stall before the start of deep rotating stall.     

Process parameters selection of fluid industry based on flexible neural trees

Fluid industry＇s production takes on high complexity, strong association, non-linear and indeterminacy. To find important parameters which influence production process, provide theoretical basis for process control of fluid industry＇s production and make the production process control more exact, we propose a flexible neural tree model in this paper. The model can be created based on predeflned information set. The structure and parameters of flexible neural tree are optimized by probabilistic incremental program evolution and simulation annealing respectively. We take production process of decomposed kiln---one of important cement＇s processes---as an example. The result indicates that the proposed model is greatly efficient.     

Terrain trafficability simulation of the 4-axel off-road vehicle

In order to estimate the terrain trafficability of the 4-axel off-road truck, the 2D plain stress FEM tire model is constructed and the constitutive equation of the viscoelasticity elements is derived. After analyzing the spring-damper model of the suspension, the 9-DOF model of the off-road truck is presented. With the Lagrange dynamics method, the differential algebraic equations are completed and the gear method is employed to resolve the DAES. Under the actual parameters, the terrain trafficability simulation of the 4-axel off-road truck is carried out. The simulation results of the truck climbing the hillock show that the really ground clearance is 0.48 m and the interference area is specified.     

A 3D Model Reconstruction Method Using Slice Images

Abstract：reconstruction method using slice im-ages is proposed. Wanting to extract the outermost contours from slice images, the method of the improved GVF-Snake model with optimized force field and ray method is employed. And then, the 3D model is reconstructed by contour connection using the im-proved shortest diagonal method and judgment function of contour fracture. The results show that the accuracy of reconstruction 3D model is improved.     

Research on individual motivation model of software engineering

Motivation of software engineers is recognized as a key success factor for software projects. In this paper the author research the MOCC model （a new model of motivation） and lead the ＇A-B-C character style＇ theory into software engineering industry. By considering the particularity of software engineers and combining actual status, the author classify the ＇A-B-C character style＇ again and apply it on the analysis of software engineers＇ individual personality. In such a way, the model of motivation will be fit for individual software engineer even more and have more pertinence.     

Classification evolution algorithm based on cloud model

As an important branch of Knowledge Discovery, the task of Data Classification is to determine the objects that belong to which pre-defined goals. As evolutionary computation does not require priori assumptions, it shows great vitality in dealing with imprecise, incomplete and uncertain information, which the traditional methods of statistical classifications are helpless in the classification issues. This paper presents a classification algorithm based on cloud model and genetic algorithm. Experiments show that the algorithm is efficient to continuous attribute data sets for the classification.     

3D-Aided-Analysis Tool for Lunar Rover

3D-Aided-Analysis Tool （3DAAT） which is a virtual reality system is built up in this paper. 3DAAT is integrated with kinematics and dynamics model of rover as well as real lunar surface terrain mode. Methods of modeling which are proposed in this paper include constructing lunar surface, constructing 3D model of lander and rover, building up kinematic model of rover body. Photogrammetry technique and the remote sensing information are used to generate the terrain model of lunar surface. According to the implementation result, 3DAAT is an effective assist system for making exploration plan and analyzing the status of rover.     

Spatial database for Geographic Information System （GIS） applications

This paper explains the concepts of Oracle spatial as a way to store and analyze spatial data. Oracle spatial is designed to make spatial data management easier and more natural to users of location-enabled applications and Geographic Information System （GIS） applications. Once spatial data is stored in an Oracle database, it can be easily manipulated, retrieved, and related to all other data stored in the database. The data that indicates the Earth location （such as longitude and latitude） of these rendered objects is the spatial data. When the map is rendered, this spatial data is used to project the locations of the objects on a two-dimensional piece of paper. A GIS is often used to store, retrieve, and render this Earth-relative spatial data. Types of spatial data （other than GIS data） that can be stored using Oracle spatial include data from Computer Aided Design （CAD） and Computer Aided Manufacturing （CAM） systems.     

Topography Image Segmentation Based on Improved Chan-Vese Model简

Aiming to solve the inefficient segmentation in traditional C-V model for complex topography image and time-consuming process caused by the level set function solving with partial differential, an improved Chan-Vese model is presented in this paper. With the good per）brmances of maintaining topological properties of the traditional level set method and avoiding the numerical so- lution of partial differential, the same segmentation results could be easily obtained. Thus, a stable foundation tbr rapid segmenta- tion-based on image reconstruction identification is established.     

An approach to implementing an intelligent web search

The retrieval efficiency of the presently used search tools cannot be significantly improved： A ＂bag of words＂ interpretation causes loosing semantics of texts. The functional approach to present English texts in the memory of computers makes it possible to keep semantic relations between words. These relations can be taken into account when indexing documents and when performing searching. Utilizing this approach, it is possible to use a natural language to express user queries. In many cases, this way is more usual for users to describe their information needs compared to the keyword style. The factoid question answering task is one of the possible its applications. Key components of the prototype of a system utilizing this approach are discussed.     

A measurement approach of trust relation in web service

With the advent and proliferation of web services, quality of service serves as a benchmark to differentiate and select the services. Because trust has been regarded as an essential security relationship within a distributed network environment, quality evaluation of services from the viewpoint of trust presents a significant trend in decision support for selecting service over Internet. Unfortunately, the current research in the context of web services does not accurately reflect the randomness and fuzziness of trust, the basic issue in related research about trust. In this paper, we designed two kinds of trust cloud based on cloud model theory to describe the randomness and fuzziness of trust factors. Furthermore, a formalized calculation was provided to obtain the trust degree. To our knowledge, this is the first investigation into trust of web Service considering the integration of randomness and fuzziness, and applying the cloud model to quantitative evaluation of trust in the field of web services.     

StreamJacobi： Efficient implementation of 2-D Jacobi on a stream processor

Stream processors, with the stream programming model, have demonstrated significant performance advantages in the domains signal processing, multimedia and graphics applications. In this paper we examine the applicability of a stream processor to 2-D Jacobi iteration which is widely used to solve partial differential equations, an important class of scientific programs. We first map 2-D Jacobi iteration in FORTRAN version to the stream processor in a straightforward way. In a stream processor system, the management of system resources is the programmers＇ responsibility. We then present several optimizations, which avail the stream program for 2-D Jacobi iteration, called StreamJacobi, of various aspects of the stream processor architecture. Finally, we analyze the performance of StreamJacobi, with different scales, and the presented optimizations. The final stream program StreamJacobi is from 2.31 to 6.42 times faster than the corresponding FORTRAN programs on a Xeon 5100 processor, with the optimizations playing an important role in realizing the performance improvement.     

Advanced learning resource management system with ontology-based hierarchy semantic model

The requirement for advanced learning resource management system is a hot topic in e-learning, which should support sharing, reusability and interoperability of learning resource. The development of semantic technology has provided opportunities to solve the problems. In e-learning area, there have been many research efforts in this direction. However, such kinds of existing systems have many weaknesses on resources usability and system availability because of various requirements on learning resources sharing, and the complexity of semantic technology itself. This paper proposes a feasible architecture for constructing learning resource sharing system with high availability through adopting semantic technology, and ontology-based hierarchy semantic model and method to construct course ontology are proposed. The approach has been validated with prototype development.