Recent Advances in Computer Science and Information Engineering

In China, Slopes along highway in mountainous area are very much and their distributing is wide, also the slopes are affronting geological environment and the naissance of them are double-quick. It is difficult that evaluate the stability of the slopes along highway at present. The design and realize of slope safety assessment system along highway in mountainous area are described. In holistic safety assessment subsystem, the importance arrangement of various indexes can be made based on simple dependent function and the analytic hierarchy process and expert reliability based on the matter element analysis theory to revise the weights of index. Also, the way of matter-element extension to build matter element extension model for high slope along highway in mountainous area are imposed. In local safety division subsystem, through coupling the unified strength theory and the Lode stress parameters, the mathematic model is established for calculating the local safety and stability of the high slope along highway in mountainous area. Based on ArcGIS9.3, the high slope data are pre-processed and analyzed. And by using the finite element analysis software, the study profiles of high slope are numerical simulated. The relevant parameters of each node of the studied profiles are acquired. Then the stimulation results are further analyzed and visualized by ArcGIS9.3. Finally, the safety division maps of the study profiles are obtained. The result indicated that the compositive system can provide veracious information for slope safety and straightway roads.

This paper is a study in the application of multi-scale mathematical morphology which is a branch of mathematical morphology in seismic data processing. It mainly research on the seismic signal resolution improving and amplitude compensation. First, Multi-scale mathematical morphology is used in this essay to multi-scale decompose amplitude information of seismic signal, and make an analysis of the morphological characteristics of every scale, and make the choice of multi-scale structural elements. Because of less energy loss and higher resolution of the shallow seismic signal, information of shallow signal is used to simulate information of overall signal, to achieve improving resolution of overall signals.

The sustainability of basic endowment insurance is important for people’s livelihood. Because of the fragmentation and the implicit debt, analysis of the sustainability encounters great challenge. Previous researches are usually based on the assumptions that are quite different from the reality. Thus, the results of these researches are questionable. In this paper, we focus on analyzing the sustainability of “the new person” based on the national post paper [2005] No.38 and the practice to propose actuarial model of “the new person”. It shows that the sustainability is dangerous even if no implicit debt is taken into consideration, which is also verified by real data of city A.

For two stage supply chain with multiple competing newsvendors which faces stochastic market demand, the coordination may be broken off by intervention events. Using buyback contract, the impact of demand disruptions upon the supply chain coordination is studied. When market scale change is small, keeping the original production plan can achieve the supply chain coordination; When market scale changes significantly by the intervention event, adjusting the production plan become necessary. The optimal strategy for supply chain to the interventions by buyback is presented, and an adjusted buyback contract which has anti-intervention ability is proposed. Numerical examples are made to illustrate the effectiveness of the optimal strategy.

Basic endowment insurance is an important part of social insurance. At present, the researches on the continuity of basic endowment insurance fund are mainly actuarial methods which come from commercial insurance. To handle the uncertainty in social insurance, the paper proposes an analysis mechanism which adopts massive real data and founds on actuarial model and various forecasting methods. Firstly, after analysing the data and the characteristics of basic endowment insurance of China, the paper establishes the actuarial model of fund balance and uses various forecasting methods to predict the influencing factors of fund. Secondly, the Markov chain is used to forecast the number of the attendees that play different roles as paying and receiving. Finally, actuarial model and forecasting methods are combined to forecast the continuity of the endowment insurance fund. The experimental result shows the performance of our method is effective and feasible.

In the study of commercial health insurance, like medical insurance, the incidence of disease and the prediction of it are significant for the research and development of new insurance products, the determination of premium rate, company pro-fit. Meanwhile, due to the complication and fuzziness of moral hazard and the health condition of the insured, the incidence of disease has always been one of the research difficulties in this realm. In this paper, first, we use triangle fuzzy number and Fuzzy conditional probability to represent the health state and incidence of disease of the insured in different age groups. Then we suppose that whether the insured man has disease will not have aftereffects, and discuss the transition probability and the incidence of disease. Finally, we predict and analyses the incidence of disease by simulating data, and offer an effective way to study the incidence of disease of insured man.

This paper, based on the current situation of the lab architecture of Heilongjiang Entry-Exit Inspection and Quarantine (I&Q) Bureau, proposed a design of WebGIS-based Information Management System for I&Q Labs (IQLIMS). IQLIMS has been designed to achieve timely update and integrated management on the information of I&Q labs. Then, it presents the information to users in a timely, intuitive, systematic way. Furthermore, IQLIMS, taking advantage of spatial analysis and decision support functions of GIS, provides decision support information for optimization of labs layout, adjustment on inspection items, and resource allocation between different labs, etc.

In this study, we develop a specific decision support system (DSS) which can be utilized to analyse and design the professional model of industrial spatial layout, system structure and detailed functions. Using spatial data as the information infrastructure, industrial spatial distribution models as the core, we further utilize the Visual Studio .Net, ArcGIS Engine and Access to construct the industrial spatial distribution DSS in small towns. The proposed system can provide solutions to the industrial layout data management, inquiries and analysis of the information processing techniques. It aims at providing spatial data analysis of industrial distribution, quantitative analysis of factors that affect the industrial development, factor weight determination, industry analysis unit optimization, and industrial spatial layout.

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A new mesh generation strategy is presented in this paper: fractures and rock matrix are separated to generate mesh, and coupled by the fluid exchange between fractures and matrix. This method makes the mesh much simpler, and greatly decreases the computational complexity and increases computational speed. The principle of the new method is detailed discussed and the algorithm implementation of single phase fluid flow in porous medium is presented in this paper. The method is also applied to a simple case of naturally fractures reservoir simulation, results show that the method presented in this paper is applicable to simulate fluid flowing in fractured reservoir.

Tag collision is a common problem in Radio Frequency Identification system. The algorithm in this paper can enhance the utilization ratio of the communication channel through locking on the collision bits of the tags to conduct anti-collision process on the locking bits. Meanwhile, it can directly recognize the pairs of tags where the collision only occurs on one bit, which can enhance the efficiency of recognition. Moreover, it proves the time complexity of this algorithm with mathematical induction. Finally, it conducts software implementation with the pre-order traversing idea of threaded tree.

The two important methods of finding undirected longest cycles, namely, the extension + rotation and the branch trimming, both have their own disadvantages. Any undirected basic cycle can always be decomposed into several atomic cycles which are connected with one another by a common edge in a certain order. Along this line, this paper proposes a new efficient algorithm for longest cycles based on the permutation of a finite candidate set of atomic cycles, which is able to reduce the time cost and guarantee the termination. Experimental results on some real cases demonstrate the effectiveness of the proposed algorithm.

Detecting lines in a digital image is a crucial step in many applications, such as visual navigation, feature recognition. In this paper, an algorithm which is based on part Hough transform is proposed for extracting straight lines from building image. Firstly, edges are detected based on Canny detector. Secondly, An algorithm that follows image boundary categorizes edges. Thirdly, Hough transformation extracts straight lines to each classification of image. Experiment results shows that the proposed algorithm is better than Hough transform. It can detect lines correctly in building images with high accuracy, low false detection and low missing detection.

To seek the optimal analysis of line balancing in mix-model assembly line, Author comes up with one new enhanced Genetic Algorithm which takes some new engineering constraints into consideration as well as introducing SA factor to avoid premature. Through applying analysis on one real use case, it proves good result of optimization efficiency and quality.

The current register and discovery protocol as UDDI is a keyword-based and precisely matching service discovery mechanism and it can’t describe the semantic information of a Web service. Many suitable Web services can’t be discovered automatically by the traditional service discovery methods. In order to resolve these problems, this paper presents a method of semantic Web service discovery based on bipartite graph matching. It makes computers recognize semantic information of Web Services. The method contributes to the improvement of service discovery efficiency when service is retrieved in an automatic way.

Cylindrical projection is one of the most common projection methods used in photographic virtual reality. In this paper, we study and realize cylindrical panoramic projection and real-time rotation using GPU (Graphics Processing Unit), which adopts CUDA technology. These algorithms mainly include cylindrical projection based on the horizontal plane image, the image real-time rotation, the tangent plane projection and pixel interpolation using GPU. Experiment results show that the high quality and faster computing speed of real-time processing are obtained.

The increasing number of rules used in Network Intrusion Detection System(NIDS) based on pattern matching lead to the performance diminishing. An efficient algorithm(Multi-AC) for Packet Pre-filtering is proposed to improve the performance of Packet Pre-filtering and NIDS. By making Multilevel AC finite automata, it reduces the number of rules that are candidates for a full match. Experiments based on Snort show that the rules’ number can be reduced to 11%-14% by using Multi-AC algorithm.

HPC-RTI (High Performance Computing Runtime Infrastructure), the RTI for High-Level Architecture, which executes on high performance computing platform, can achieve better performance than common RTI. In our HPC-RTI, a high speed communication layer based MPI is designed to reduce the communication latency. In this layer, a new process merge method is provided to implement the dynamicMPI process management, and a message sending/receiving mechanism is presented in detail. By this mechanism, message passing latency can be reduced, and network bandwidth can be better utilized. The preliminary experiment results show that this high performance communication layer is well suited for high performance distributed simulation.

Nowadays, a heat and mass transfer simulation plays an important role in various engineering and industrial fields. To analyze physical behaviors of a thermal environment, we have to simulate heat and mass transfer phenomena. However to obtain numerical solutions to heat and mass transfer equations is much time-consuming. In this paper, therefore, one of acceleration techniques developed in the graphics community that exploits a graphics processing unit (GPU) is applied to the numerical solutions of heat and mass transfer equations. Implementation of the simulation on GPU makes GPU computing power available for the most time-consuming part of the simulation and calculation. The nVidia CUDA programming model provides a straightforward means of describing inherently parallel computations. This paper improves the computational performance of solving heat and mass transfer equations numerically running on GPU. We implemented simulation of heat and mass transfer using the novel CUDA platform on nVidia Quadro FX 4800 and compared its performance with an optimized CPU implementation on a high-end Intel Xeon CPU. The experimental results clearly show that GPU can perform heat and mass transfer simulation accurately and significantly accelerate the numerical calculation with the maximum observed speedups 20 times. Therefore, the GPU implementation is a promising approach to acceleration of the heat and mass transfer simulation.

GPU CUDA has developed quite a lot recent years, especially in the field of high performance computing, as well as asymmetric cryptographic applications. Much of the involved work has been done based on the coarsegrained method, in which each thread within thread blocks does a complete task process respectively. In this paper, we develop a fine-grained parallel approach for Montgomery multiplications, which is much different with previous work. All the threads within the thread block of GPU cooperate to deal with a complete task process. Experiment shows that the approach performs better when the number of tasks to be dealt with is small, and performs more or less equally effectively in other cases. And the acceleration is well reached compared with CPU-based implementation. Also the idea can be adopted in many acceleration applications.

Limited resources of battery-operated mobile devices are a major obstacle for mobile applications. An obvious solution to this limitation is to leverage cloud computing, which offers virtually infinite resources on demand through the virtualization of physically distributed computing resources. A mobile device could offload a resource-intensive application to the cloud and support thin client interaction with the application over the Internet. As such, cloud computing enhances the computing capability of mobile devices, as well as saving energy of mobile devices. In this paper, therefore, we propose a framework supporting the seamless execution of mobile applications on the cloud. In particular, the novel aspect of our approach is that a mobile cloud application, itself, is treated as data, so it can be replicated within the cloud, thus being able to reduce both latency and energy consumption of the communication. This paper is a work-in-progress report of our research.

with the cloud service platform of National Science Library (NSL) as an example, this paper introduces how to build the open-source private cloud service architecture based on virtual technology, effectively increase the service capacity of information institutions and the use efficiency of network resources, and secure the applicability of services while preventing the server from spreading. It presents the key technical interfaces for building the private cloud infrastructure and the realization of major functional modules, including the management of virtual server, management of virtual application mapping template, monitoring and control of subcloud and overall virtual cloud environment.

Cloud Computing is a probably way to solve some IT infrastructure problems in campus network, such as high cost, low utilization, low stability and low manageability etc. How to apply Cloud Computing technology based on IaaS (Infrastructure as a Service) in IT infrastructure of a campus network is studied in this paper. Some key technologies are mainly discussed, including the definition of Cloud Computing and IaaS, the main way and detailed steps to achieve IaaS. Then, an example is given to illustrate the circumstances before IaaS, the deployment of IaaS, and the effect of IaaS. It is demonstrated that IaaS can cut down the cost of IT infrastructure, and enhance its utilization, stability and manageability.

With the rapid evolution of processor architectures, more attention has been paid to the hardware-oriented numeric applications. Based on the newly released Fermi architecture, we investigate the approach to accelerate high performance computing (HPC) applications with concurrent kernels. We concentrated on two performance factors, namely the launching order of concurrent kernels and the kernel granularity. Extensive experiments show that the launching order of concurrent kernels can hardly affect application performance. Particularly, we identify the heuristics of kernel granularity that may result in the best performance, i.e. the occupancy of each kernel should be in the interval [30%, 50%].

The web applications have grown rapidly and become ubiquitous. This paper proposes a simple and feasible approach to predict one Quality of Service (QoS) metric of typical 3-tier web application, the average response time, which plays a crucial role in maintaining customers’ loyalty. Our approach is sufficiently general to be used in various web applications, we use Service Demand Law to estimate service demand of each resource and use Queuing Network theory to model the application as a network of resources queues. We validate our model in a 3-tier enterprise e-commerce application test bed by comparing the average response times that predicted by our model and that observed in the actual measurements. The validation results yield that our approach is effective for predicting the average response time for 3-tier web application.

As no Center, self-organization, changing topology and so on, the routing protocol security is more terrible in ad hoc network than in wired network. The wormhole attack is one of them. The malicious node add will disrupt routing protocol that depend on node’s broadcasting through the receive datagram for every neighbor, and then, it will scramble to listen or destroy. This article analyzes the wormhole attack principle that some relevant way first. After that, under the condition of regional OLSR protocol, the paper presents the idea which broadcasts key in different geographical neighbor node. In that case, even though the malicious nodes get the packets, it is unable to decrypt the packet, achieving effective defensing passive wormhole attack. Finally, the model is applied to OLSR routing protocol and simulated in NS2, verifying the feasibility of the scenarios.

In this paper the finite element method is used to analyze a waveguide coaxial adapter. On the basis of the model of the adapter, the S parameters are calculated by COMSOL software. In the end we can draw a conclusion that those parameters meet needs.

Based on the analysis of Fraim production degression analysis method, we draw the Fetkovich graph by software first. Then we carry out the history match and production forecast of Fraim method, and calculate the examples.

Traditional linear method is, in our opinion, not satisfactory in solving the stochastic response and bifurcation of the intrinsically nonlinear muscular blood vessel system. So we propose nonlinear method and equivalent method of nonlinear differential equation Section 1 of the paper briefs the characteristics and analysis method of the nonlinear system. Section 2 explains in detail the mathematical model of equivalent method. And then stochastic response is discussed in section 3 based on the model mentioned above. The simulation given in figure 1 through 2 shows preliminarily that: the nonlinear model of the system was built; approximate analysis solution to the system’s response was achieved; and the unstable P behaviors of the system were researched by numerical simulating. So It is significant to study stochastic response and forecast the potential coming forth phenomenon in this system under stochastic disturbance.

Based on Timoshenko beam theory and Higher-order shear deformation beam theory respectively, a section model for the nonlinear analysis of reinforced concrete beam with both shear and transverse deformation considered is presented in this paper. To eliminate the cracks checking of concrete material, the constitutive model proposed by Stevens etc. is adopted. Simulations about pure bending tests and concentrated loading with different shear-span ratios tests have been made to validate the theoretical model proposed in this paper. The analytical results of the two theories are both in good agreement with experimental data and have also been compared with each other.

Ancient wooden building is a valuable material and spiritual wealth. In order to evaluate the damage of the building and make rational protection, this paper established a damage assessment index system. The coefficient of each index is calculated based on the samples rather than prior assigned, which will make the evaluation more objectively. Then the interactive projection algorithm between the convex set is introduced to make least squares estimation for the regression model. The proposed model and algorithm provides a new analysis method for damage assessment of ancient wooden buildings.

Based on the latest design concepts for pedestrian protection, a new active engine hood lifting device which takes advantage of the gas generators is shown in this paper. It can provide a lift of 110mm for the engine hood within 200ms. The active engine hood lifting system is simulated in the method of finite element analysis. Furthermore, the effect of head protection is proved in the simulation of headform test according to Drective2003/102/EC.

The comprehensive evaluation index system of city size and urban water was constructed, then based on the datum of oasis cities in Xinjiang, entropy method was applied to analyze the dynamic evolution of city size and urban water during 1990-2008, and their relationship was discussed. Results showed that economic size is the most important indicator of city size, and water supply capacity, water consumption and construction of conservancy facilities all reflect the level of urban water. Both city size and urban water of oasis cities have an increasing trend during 1990-2008, but with varied changes in different periods. The relationship curve shows a logarithmic relationship. The expansion of city size promotes its development in early stage, but because of the restriction of water resource, it shows a gentler of fitting curve with the acceleration of urbanization. Water resource should be focused on for rational allocation and intensive use to achieve the harmonious development of urbanization and water utilization.

This article mainly deals with the imaging simulation of dynamic sea surface with air-borne SAR. The sea surface was simulated as a two-scale model for authenticity of simulation and appropriate speed of operation. Then, the echo of the sea surface is modeled based on suitable two-scale scattering model. At last, the article makes imaging simulations in different sea states using SAR strip-map and squint mode according to the parameters, and the effectiveness of the simulated images is justified by statistical properties of the real SAR image.

The difficulty of getting IFS code and the inflexibility of IFS attractor shape, are the key problems of the fractal attractor generating. For solving the two problems, we presented the interactive fractal set generating algorithm based on bilinear transformation. The experimental results show that "Interactive" can solve the difficulty of getting IFS code, "Bilinear" can make attractor much more realistic, natural.

A differential mathematical model for hollow fiber membrane gas seperator was established and used for multi-component gas separation, especially natural gas. The influences of the characteristics of feed gas, pressure drop within the hollow fibers and concentration polarization were taken into consideration. We developed a computing software for gas membrane separation with LabVIEW. This software can be used for hollow fiber membrane separation of gases, continuous membrane column cascade operation and multi-level membrane modules in designing and checking calculations, can replace the tedious manual calculations, and has a great reference value in laboratory testing and industrial design applications.

System identification (SI) is usually used to deduce system transfer function. Least-squares (LS) method, is the most used method in SI. This paper proposes that SI on LS can be applied in validation of simulation models in the presence of field test data. As for online identification, recursive LS (RLS) is put forwards. But data saturation (DS) emerges along the recurring, which sometimes results that estimate of parameters can’t be achieved. An algorithm named recursive forgetting factor (RFF) is provided to solve DS. Based on parameter identification estimates, a validation method of simulation models is raised through hypothesis testing for data consistency check. Take the hydrokinetics movement of torpedo as an example, the application is validated.

In this paper, for a certain type of horizontal single-stage single-suction centrifugal pump, a 3d model based on Pro/e is constructed and imported into Fluent, using moving reference frame model and two-phase mixture model to simulate the internal state of pump, then get the pressure distribution, vapor-liquid two-phase flow distribution, the vapor-phase volume fraction distribution within pump, when temperature remains constant and operating speed is changed by frequency control technology. Finally, compare and analyze these distributions. According to the main flow characteristics of the liquid-phase and the vapor-phase, reveals the intrinsic characteristics of cavitations in the two-phase flow field within pump. The results can provide a reference for the design optimization of centrifugal pumps and a theoretical basis to make the variable frequency regulation of pump get better and more rational application, and improve the effects of economic operation and energy conservation.

Numerical simulation is a powerful tool for tsunami mitigation. In this paper, the great

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8.8 earthquake tsunami occurred on Feb. 27th of 2010 in Chile was simulated as an example. The fault dislocation of the seafloor was assumed to equal to the initial tsunami wave field, which can be calculated by the formula of fault dislocation in elastic anisotropic half-space. The linear long wave theory was applied as the tsunami hydrodynamic model, and the finite difference method and frog-leap scheme were selected for solving equations. Finally, the accuracy of the simulated results was verified by the observed results in five tide gauges, and the result shows that our developing model is reliable and can be supported for the other research areas such as the tsunami hazard analysis and warning service.

Aiming at problems that how to connect the existing simulation systems to the large-scale simulation systems based on the High Level Architecture (HLA) protocol, this paper proposed the concept which named HLA General Gateway. In this paper, it started with anglicizing about the old system access solutions, proposed to change the data stream transmission to the object transmission, designed the model of HLA general gateway. It also introduced the principles of the general gateway with examples. It given a test method finally, prove the rationality and feasibility about the design.

More/all electric aircraft (M/A EA) technology is considered to be the future development trend in the aviation industry. However, Aircraft Anti-skid Braking System (ABS) is a key subsystem of M/A EA. With the background of the development of ABS, an aircraft electric braking system is designed to be used in ABS. The paper describes the principles of the work and the features of the aircraft electric braking system, mainly focusing on the motor of the actuating section used in electric braking system. According to the analysis result, the actuating section—math model of the Electro-Mechanical Actuator (EMA) has been established and simulated in MATLAB/SIMULINK. Furthermore, based on the features of the electric braking system, dual-channel model of the whole ABS has been established and studied. The results of the simulation indicates that: the performances of the designed electric braking system gains an advantage over hydraulic braking system obviously; it can reflect the real braking process the aircraft, and the model of the whole system is correct and reasonable.

This paper theoretically analyzed the impact of speed to car ride comfort, and introduced ADAMS/Car based on multi-body dynamics theory to perform ride comfort simulation of some low-end SUV in order to verify model. The result of the high-speed simulation agreed well with the theory analysis, and it can provide some relevant references to stability and ride comfort’s research for low-end SUV.

In order to enhance the authenticity and accuracy simulation of pedestrians’ evacuation, a new multi-grid model is proposed. In the new model finer lattice is used, more chosen directions are offered and interaction forces including extrusion, repulsion and friction among pedestrians or pedestrians and construction are considered. A simple situation is studied in which pedestrians try to evacuate from a large room with single exit. In the process of simulation the multi-grid model realizes the dislocation distribution of pedestrians and overlap of partial track due to congestion by finer lattice. The influences of every parameter on evacuation time are also analyzed.

Satellites have become an important role in man’s daily life since the first satellite launched in 1957. Their by- products - space debris, resulting from spent rocket stages and defunct satellites to explosion and collision fragments increase greatly in recent years, whose amount have reached 16,000 now according to data published by US NORAD. The space debris can be tracked and cataloged by space surveillance facilities, such as radars or telescopes.

The model of digital ground fissures determines that whether the research work on ground fissure hazard can be carried out and steps further in the digital environment. This paper, first, defined the digital ground fissures based on the spatial curved surfaces, and then applied the TIN modeling technology to create ground fissures’ spatial continuous curved surfaces, which run through the coarse strata and can perform seamless integration. Therefore it provided conditions for the creation of geological 3D models, and also offered possibilities to integrate other digital geological objects.

Signal from Tunable diode laser absorption is weak and not easy to acquire. Methods of autocorrelation detection and crosscorrelation detection are used to collect the signal from strong noise on LabVIEW platform. The simulation results indicated that with the same amplitude and same SNR, all the detection error is less than 0.70%. This method is used to a poisonous gas monitor system based on LabVIEW and it is confirmed that the method is effective to obtain the fact signal from lower SNR signal. Remarkably the method is designed by LabVIEW, it is easy to modify, upgrade and used as a subVI in other LabVIEW control system.

In view of the frequent earthquakes in recent years, the article gives a detail proposal for Earthquake Emergency Response System (EERS) Based on GIS for the North China plain. As a case study of Hebei Yanjiao, the system realized the query of spatial data and the visual management of spatial data, to achieve the function of seismic casualties and loss estimation, achieved the post earthquake emergency rescue evacuation routes dynamic simulation, for the emergency management department of the North China plain areas providing effective technical support of disaster prevention and emergency response.

The Bajiao and Hanzeng station, which obtained the large strong-motion recordings in Ms8.0 Wenchuan Earthquake, were determined as investigating objects. The ANSYS software was used for establishing two-dimension finite element model of the soil layers for Bajiao station and the soil-structure interaction for Hanzeng station. The ground motion of two stations was simulated in the status of earthquake strike, after setting artificial boundaries, meshing models, considering soil nonlinearity and inputting seismic oscillation in the base. Finally, how the valley-terrace and high communication tower affect the strong-motion recordings of two stations was evaluated.

A finite model for a finned-tube heat exchanger was built and analyzed with vibration modal analysis in COMSOL 3.5. The modeling methods, parameters setting, solve procedures and modal analysis results were detailed introduced, and vibration modal analysis results were discussed. The results show that the vibration modal difference of the heat exchanger is large between the low and high frequency vibration modes. In the low order frequency vibrations, there are big differences between two neighbor eigenfrequencies, and the vibration amplitudes at the eigenfrequencies are large. While in high order vibrations, there are small frequency interval differences, and the vibration amplitudes are far less than that in low-order vibrations; the distribution of the vibration is more uniform. Ultrasonic vibration can be used to excite the heat exchanger to vibrate at high frequency to enhance the heat-exchange efficiency and descaling, it has a poor damage to the heat exchanger.

In order to simulate the helicopter landing on ship, the article creates physical models for a helicopter and a ship. The problems of the collision detection and the friction computation between the helicopter and the ship are resolved. Using the Open Dynamics Engine (ODE), an open source physics simulation engine, the process of helicopter landing on ship is simulated. In addition, using a visual simulation engine Delta 3D (DT3D), a visual program is developed. The visual simulation indicates that the ODE is suitable for the dynamics physics simulation of helicopter landing on ship.

Traditional CRP(Capacity Requirements Planning) algorithm can not compute production capacity requirements precisely. We design a scheduling algorithm based on Heuristic Rules and use it to form a new CRP Algorithm which results in computing production capacity requirements precisely. The new definitions of Machine Load Ratio, Key Machine and Key Job indicate more realistically forecasting operation situation in planning horizon. Arithmetic computing complexity of the scheduling algorithm determines that the new CRP Algorithm is feasible.

Because of the needs of function and role in CAD technology are changing, CAD re-development technology is particularly important for general designers and developers. In this paper a universal model of mining CAD (MCAD) re-develop is presented based on the study of key technology and current situation of re-develop technology of CAD. This model includes 2D and 3D design to help software engineers to quickly establish a software system based on any CAD platform. It solved the problem of rework caused by some small bugs in calculate the coordinates in 2D or 3D develop process and improved the development efficiency. In addition, it avoided software engineers to remember the complicate data structure of the platform to relieve the burden of them. Finally we detailed the programming procedure by vertical subsection filling mining CAD and up layering filling mining CAD based on Languang geographic information system.

With the advances in computer technology, digital technology begins to change traditional patterns and methods in cultural heritage preservation. Photographic measurement technology, the application of virtual reality, digital imaging, 3D modeling, and Internet distribution platform, are all stored on the concept of the past into the new. Convenience benefits brought by technology can break through many of the traditional lack of preservation and will improve the quality of preservation significantly. In cultural heritage preservation, the process of digitizing historic buildings is a key technology that needs further improvement. This study adopted reverse engineering to explore digitalizing constructions and employed a fast and precise 3-D laser scanner to retrieve point cloud data and then export the data into Rapid- FORM XOR2, an application used in reverse engineering, to process point cloud data and construct 3-D models. These results were then converted into 3ds Max (the general platform in Computer Graphics) for fine texture and more applications.

In this paper, we present a deformation model generation algorithm for dynamic terrain visualization. In our approach, the general process of the deformation model construction and its incorporation into the original multi-resolution model of the terrain surface is described. We also develop a representative deformation model of the tire track for dynamic terrain visualization. The deformation model is well-suited for the application of real-time terrain rendering because of the simple construction procedure and realistic visualization result.

The generation of nearly-regular triangular meshes which tend towards a valence of six for most vertices is quite important in many fields, such as finite element mesh design and numerical simulations. In this paper we present a novel triangular mesh optimization method which can be divided into two main parts: reduce the degree of the vertices to nearly six firstly, and then optimize the mesh. Without deleting any vertices of the original mesh, the result of this method can approximate the original one quite well, and experiments for the efficiency of the new algorithm are included.

The paper shows the hydrodynamics dependent on the ship surface, and considers NURBS representation of complex curve, which has been widely applied in the research of ship lines design and ship hydrodynamics. In this paper, the methods of NURBS curve, Degree elevation, Interpolation for NURBS curve, and NURBS representation of the composite curve are discussed. The way of application in the research of ship lines design and ship hydrodynamics is also given in the paper.

In order to achieve geometric errors of hull blocks, the registration between measuring data and model data is one of the prerequisites. Levenberg-Marquardt (LM) algorithm method was proposed with preliminary registration. The algorithm takes use of preliminary registration by principle of coordinate transformation in order to minimize errors between the transformed hull block measured data and model data. After preliminary registration, error function based on least square principle is established and the global optimal registration parameters are derived by the unconstrained optimization algorithm based on LM. The analysis results could predict the geometric errors of hull blocks construction accurately and provide an instructive basis for subsequent block modification and assembly.

This paper presents the main output, and its pedagogical fundaments, of the Socrates/Minerva project Individualized Learning Enhanced by Virtual Reality IDENTITY 229930-CP-1-2006-1-RO-MINERVA-M. The overall project objective is to produce a high level quality learning environment in an academic European network ensuring an open access to improved educational resources, as well as to the best practices. The main project output, short described in this article, is the Enhanced Individualized Learning Environment (EILE),

http://eile.ecampus.it/

The paper describes the design and implementation of a tiny educational operating system, Qutenix. With Linux and GNU tool chain as the developing tool, the system consists of only 5,000 lines of source code (excluding comments). Being compatible with Linux, implemented more than 30 system calls, and able to run on real hardware (X86 based PCs), it can use the shell command files and gcc compiling system of Linux 0.11 directly. With the simple structure, easy intelligibility, and tiny scale, it is suitable for operating system course teaching and experimentation in undergraduate computer major.

This paper presents the method and technique to realize foreign language education using classical transfer-base machine translation technique.The proposed method is based on some well selected text corpus. The corpus is desirably bilingual, but not restricted to bilingual; mono lingual corpus is still available. The method to use commercial machine translation system(s) to support foreign language learners is also mentioned.

In this paper, A 3-D model of helical intake port- valve- cylinder is built, and flow characteristic of helical intake port is carried out; the accuracy of the CFD (Computational Fluid Dynamics) simulation is verified by steady flow test rig and the detailed interior flow field is obtained. The results indicate: the numerical simulation results show great consistency with the test values; the calculation of the high valve lift is more precise than that of the low one and feasibility evaluating intake port by CFD is verified.

In this paper, first, the problems of tradition efficiency optimization method were analyzed, which was nonlinear and variable parameters of induction motors. Second, efficiency optimization of induction motors based on Kalman filter method was given, which combined Kalman filter and loss minimization control. Last, the method was proved feasible by simulation experiments.

In this paper, for Integrated optimization of Hybrid Power Filter System(HPFS), with strategy of antibody concentration with sufficiency vector distance, a novel immune selection operator was given, and a scale variable hybrid mutation operator, which introduced the variable scale method in the hybrid mutation, was given also. At last, the algorithm was proved effective and practicable by calculate simulation and experiment.

In this paper, we design a new blending array

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-buffer to improve the rendering quality and remove the hidden surface.

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-buffer is a three-dimensional array according to the region of drawing and numbers of blending Surfels. It is controlled by the tolerance

δ

and generated during rendering process. We also design blending rendering algrithm based on non uniform partitioning point-octree data structure to realizes the balance of drawing speed and drawing quality according to the distance of viewpoint position and models. Point-octree data structure can filter invisible points before the time-consuming process of rendering and can help to select different detail levels according to the view point position to control the complexity and speed of rendering.

To solve the more and more serious power and energy problem in computer science field, most researchers working on system software focus on real-time operating system, but the work of this paper is aimed at the commodity, sharingtime operating system. Analyzing the relationship among performance, frequency and memory accessing density, as well as the relationship between frequency and energy, a

Performance-Energy Tradeoff Model

, named T-model, is presented in this paper. Using T-model, we can get the

Best Low-energy Frequency

, counting the cost of some performance loss, conveniently. Then TDFG (

T-model based Dynamic Frequency Governor

) is proposed. Experimental results validated the correctness and efficiency of T-model and TDFG.

This paper describes the basic principles of adaptive arithmetic coder, then analyzes the key modules of the coding process for VLSI realization and proposes good solutions, which especially include the time cost part implemented with parallel mechanism. With that, an optimized hardware model is built up, and the correctness is verified through Post-Place & Route model simulation. The synthesis result is also given to show the performance. At last, the experimental results show that our method is correct and efficient, it has theoretical significance and practical value.

With the advent of surgical robots, telesurgery becomes an exciting new discipline that promises to broaden the practice of expert surgeons. Accordingly surgeons need to learn more sophisticated skills for telesurgery. We proposed a master-slave surgery simulator that can teach skills in controlling telesurgery robots. The simulator consists of master-slave haptic devices and a stereoscopic display. Telesurgery is simulated in a bilateral control scheme with Position–Force control strategy. The performance of the master-slave control in undertaking free space motion is presented and the simulation of burring in spine surgery is implemented. Experiments show the following error of the telesurgery simulator is quite small and the force change during burring simulation is acceptable.

Outside and inside scenes are usually made of regular surfaces such as plane, spherical surface, cylindrical surface, and so on. While we capture 3D data of the real scenes using the laser scanner, 3D laser point cloud includes a lot of, regular surfaces. So we presented a method recognizes the plane, spherical and cylindrical surface based on normal and curvature. We used Coordinate Transformation method (CT) to solve normal and curvature; used linear octree improve the computing efficiency of general CT method. We gave the experiment for testing the robustness of the algorithm.

Multi-processor system real-time scheduling algorithm for flight assignment problem was proposed. By constructing the flight queue model, the real-time scheduling algorithm was applied to a example and achieved satisfactory results. The time cost was less than 3 ms. The experiment results showed that the algorithm is faster than the genetic algorithm 2 orders of magnitude, faster than branch and bound almost an order of magnitude.

In this paper, an analytical aerodynamic model based on waverider-type space vehicle is introduced for designing micro re-entering lifting body. To design the lifting body and trajectory, a multi-disciplinary optimization strategy including the drag caused by the viscous effect of boundary layer behind shockwave during the process, and temperature distribution of TPS (Thermal Protection System) is used to optimize the control law and minimize the peak of heat flux. Also a multi-collocation pseudo-spectral method collocating different type of Gauss nodes together is developed in this paper to optimize the NLP problem of trajectory, which makes the optimization process more accurate and robust. Taking into account the uncertainty caused by the aero-parameters when calculating lift and drag, the strategy makes the maximum heat flux, maximum internal temperatures as performance indices while minimizing the effects of uncertainties. Simulation results show the achievable performance of such a micro vehicle and obtain a set of Pareto optimization results.

To improve the effectiveness of control and remediation of failure access terminals in trusted network, a novel remediation scheme is proposed in this paper. Based on the introduction of a definition of stability of access terminals and the employment of the architecture of trusted network connect(TNC), the proposed remediation scheme can not only realize a dynamic control on terminal’s behaviors but also support a trustworthy remediation. Simulation results demonstrate that the proposed scheme is more effective compared with static and integrity-based remediation scheme and significantly improve the speed of remediation.

This paper presents a algorithm of decomposing arbitrary polyhedrons into convex pieces without adding new vertices, the number of the convex parts can close to the minimum. Firstly, construct the loop starting from the concave edge of the polyhedron. Select the loop which has the most number of concave edges and all vertices of the loop are coplanar within the polyhedron. Select the loop which has the minimum perimeter when some loops have the same number of concave edges. Then use the face which formed by the loop to decompose the polyhedron. Repeat this process until all sub-polyhedrons are convex. The last, the experiment proved that the algorithm is feasibility and efficiency.

The statistics and analysis of historical air traffic flow are significant for Air Traffic Flow Management. In this paper, we propose a system design and implementation solution for analyzing air traffic flow based on historical 4-D radar tracking data. Using database and Object-Oriented programming technology, radar data is successively analyzed and extracted into flow data of smaller spatial dimension and time dimension with multiple granularities. Air traffic flow statistics are generated by automatic database procedures and can be inquired flexibly. Field test shows that hundreds of thousands of lines of raw data can be analyzed efficiently in an hour and user interface is friendly.

Image edge detection is the first step on obtaining image feature. In this paper, an improved canny edge detection algorithm was represented to obtain thin and robust edge. Firstly, nonlinear diffusion filter was used to wipe of noise efficiently and kept the edge information of the image. Secondly, gradient calculation of pixel diagonal direction was considered in the calculation of neighborhood gradient amplitude which further repressed the impact of noise. Thirdly, using average interclass variance could self-adaptively calculate the double thresholds for different images. The results of the experiment indicate that the improved algorithm has a better accuracy and precision in the edge detection.

The wavelet contraction law is the most widespread image denoising method at present, although the people used the wavelet transformation to carry on the image denoising to obtain certain progress, the effect was still not very ideal. Proposed one new optimized wavelet threshold value contraction law algorithm is based on the fast particle swarm. Particle swarm optimized algorithm was used to extract the threshold value optimal solution, then particle swarm optimal solution is used as the wavelet decomposition each criterion threshold value, carrying on the image denoising by this most superior threshold value solution. The experiment proved that the method, not only PSNR is obvious enhancement, but also the picture quality and vision are improved, moreover it is bigger along with the noise variance, the PSNR and image quality is better.

Light-response curves, in which the net photosynthetic rates change with photosynthetic photon flux densities (PPFD) setting at different levels, are usually used to describe the photosynthetic capacity of leaves. It is of vital important to build an appropriate mathematical model to simulate the parameters of light-response curves. The nonrectangular hyperbolic model was chosen for this study. The process of simulating the parameters in light-response curve mainly consisted of three steps: inputting data of photosynthesis rate at each PPFD level, inputting nonrectangular hyperbolic model formula and setting the initiative value of the parameters by using SPSS software. In this study, this method was used to build mathematical model of light-response curve for Quercus variabilis leaves. The simulated values well fitted to the measured ones.

This paper constructed Marine Oil Spill emergency Response Information System based on ArcGIS Server. The system adopts the ArcGIS Server architecture and uses the data fusion method to solve different data sources such as the electronic charts, electronic maps, and remote sensing images of. Also, it succeeds to solve different scales of multi-source data integration and achieve seamless visual display. According to the concept "oil particle" it develops oil spill dynamic simulation module and sets up oil spill emergency response decision-making module, which provide the basis for the oil spill emergency response of Shanghai Yang Shan Deep Water Port and the Yangtze River estuary.

It is important for foundation pits’ construction to monitor the movement of ground and wall in real time as well as analysis them effectively. Although a lot of monitoring data is collected, how to use these monitoring data to get useful information or hazard early-warning is still difficult. To avoiding deficiencies in current monitoring systems of foundation pit, this paper proposed a new monitoring system based on CAD, which mining monitoring data according to actual processing and surrounding environment. This paper introduces the system architecture, database design, functional design, interface design and monitoring information analysis in detail. The status and problems of engineering are embodied by unique data visualization and the dynamic change of work processing .The system was used for the foundation construction of Shanghai Metro Line No. 11 Cao Yang Road Subway Station, and its effectiveness in foundation pit construction engineering has been proved.

To meet the requirement of connecting the Monitoring and Control System (MCS) of calibration tower with the central of operation and management in future, the paper designs the long-distance MCS of calibration tower based on SNMP protocol by using existing integration networks. The MCS central may query the status of calibration devices at real time. And the MCS may alarm normally the faults of the devices. The paper introduces the structure and the modules of the system. The method of acquiring and setting up the data in MIB library of the system is presented also. Then one in the measurement ship can monitor and control the devices in calibration tower at real time.

On MFC technology in VC++, this paper develops the visualization system of Dalian water resources optimizing allocation decision plan evaluating to forecast the water-need and water-supply conditions in Dalian in 2020, and to obtain the concrete optimizing allocation decision plan. Then it also tries to use the variable fuzzy set theory to optimize them, and express them out in visualization form. This system has the characteristics of rapid calculation and better man-machine interactive contact.

The essence of multi-scale geometric analysis is to achieve optimal approximation of signal interested. This paper firstly introduces the backgrounds and recent developments of the subject, unveil the impetus behind this root causes. Finally we compare the differences of wavelet transform, contourlet transform and curvelet transform in suppression of random noise, and through practical experiments we confirm that multi-scale geometric analysis are better (sparser) than wavelet in approximating multidimensional signal of interested.

The traditional spectrum image analysis method stays in pixel-level image analysis, so its analysis results are not accurate enough. Hyper-spectrum image has more spectrum bands, thus making it possible to analyze image in sub-pixel level. This article focuses on the method of end-member extraction and mix-pixel analysis, which is mainly about single physical volume method (SPVM), and tries the method on analyzing hyper-spectrum data from lab. Error rate of end-member extraction fell in 1%. The difference between mixed spectrum curve of our analysis result and the curve of actual spectrum data fell in 1%.

This paper discusses the digital watermark algorithm based on chaotic system-encrypting and scrambling. In the algorithm, it takes the meaningful binary image with the copyright information as the watermark and encrypts and scrambles the watermark with the chaotic sequences designing the square. It embeds the watermark in the wavelet domain and has better robust. In the experiment, it proved that the algorithm is better.

How to rebuilding 3D model former from image data for dress 3D fitting system now has become a research hotspot in the area of dress 3D visualization. This paper addresses an algorithm for rebuilding 3D model formers by the means of grain mapping according to the correlativity of color grain in the view-dress photos and proves the data structure model of views by science educing. Kernel coding and decoding programs are described in the paper for the model by C language and the experiment results show the validity of the algorithm which holds the profile information of original images preferably with lesser operation complexity.

With some problems like costly counting expenses, high complexity of news and convergence of model in the existing unstructured P2P Trust model, a distributed computing model (D-Trust) is proposed. This paper presents the trust value calculation in mathematic expression, details the method of trust data storage. By introducing a mature trust relation buffer and improving resources credibility threshold, etc. the model reduces unnecessary repeating query, calculation, and cuts the information redundancy. Simulation results show that the model has lower overhead than the existing model, and can more effectively curb bad behaviors of more widely malicious peers.

Huge amount of three-dimensional structured data set is generated in neutronics analysis. As for the visualization algorithms are mostly designed for the regular data set, so three-dimensional structured data set needs to be regulated at first. In this paper, in order to regulating three structured data set efficiently, regulation methods were studied, and a regulation method based on dimensional reduction and image technique was presented compared with the traditional regulation method based on interpolation methods. Testing results showed the high effectiveness of the regulation method proposed. The method has been integrated into the scientific visualization program SVIP self-developed by FDS Team

Travelling Salesman Problem(TSP) is a combinatorial optimization problem. This paper proposes a new high-efficiency global optimizationmethod for solving TSP. This method is described generally as: deleting unnecessary edges from edge set, and then generating a ring based on the remaining edges. Theories and experiments demonstrate that new algorithm just needs small quantity iterative steps to solve the problem, and achieves an optimization result.

A novel trust transmission method which is based on the similarities of nodes in trust models is proposed in this paper. Trust transmission is evaluated by calculating the similarity between recommenders when trustor does not have direct interaction with trustee. However, when there does not have direct recommenders, trust transmission is realized by guaranteed trust chains. Simulation results show that the proposed method improves the trustworthiness of node behavior to some extent and is practical especially in case when nodes do not know each other.

In this paper, we propose Probabilistic discrete-time Projection Temporal Logic (PrPTL), which extends Projection Temporal Logic (PTL) with probability. To this end, some useful formulas are derived and some logic laws are given. Further, we define Time Normal Form (TNF) for PrPTL as the standard form and prove that any PrPTL formulas can be rewritten to TNF. According to the TNF, we construct the time normal form graph which can be used for the probabilistic model checking on PrPTL.

Cyber-Physical Systems Architecture research is one of the most important open research issues. This work is motivated by the requirement with greater instancy for Cyber-Physical Systems Architecture which is foundation for research and development of CPSs. In this paper we reviewed the definitions and characteristics of CPSs, and proposed a service-oriented architecture framework for CPSs. We illustrated the three layers of the framework in details.

In this paper, we consider a single machine scheduling problem in which processing a job will incur some cost which is relevant with the time slots occupied by the job. The objective is to minimize the makespan plus the total time slot costs. We prove that the problem is strongly NP-hard and analyze a special case with nonincreasing time slot costs.

A video optical extensometer based on the virtual instrument LabVIEW Vision software platform is developed in this paper. A general CCD camera DH-HV-1303UM with Dynamic Link Library is used to complete real-time image acquisition and LabVIEW Vision platform is used to complete image processing. The algorithm of the center of gravity is adopted for the displacement measurement. This smart extensometer shows the high ratio of performance to price and reliability. A calibration experiment is completed and if resolution large than 0.05 pixel, the relative error is less than 3.5%.

Here, we consider the maximum travelling salesman problem with relaxed

γ

–parameterized triangle inequality for

γ

≥ 1. For the maximum travelling salesman problem with

γ

–parameterized triangle inequality, R. Hassin and S. Rubinstein gave a constant factor approximation algorithm with polynomial running time, they achieved performance ratio

γ

only for

γ

∈ [

$\frac{1}{2}$

,

$\frac{5}{7}$

][5], which is the best known result. We give a

$\frac{2k\gamma^2+1-4\gamma^2}{2k\gamma^2}$

–approximation algorithm for the maximum travelling salesman problem with relaxed

γ

–parameterized triangle inequality

In order to reduce the negative influences of subjective factors, the research aims to build the evaluation model of soil fertility by applying the entropy weight coefficient method. Taking the influence of every factor in the soil fertility into comprehensive consideration, the researcher worked out the weight value of evaluation index and obtained the soil fertility’s comprehensive index value under the guidance of entropy theory. The results prove that entropy weight coefficient method has high accuracy and some subjective factors can be avoided because of the application of entropy. The above sample analysis demonstrates that the evaluation method is simple and feasible and the evaluation results are in conformity with the actual situation.

Bifurcation of limit cycles in two given planar polynomial systems is investigated by using both qualitative analysis and numerical exploration. The investigation is based on detection functions which are particularly effective for the perturbed planar polynomial systems. The study reveals that each of the two systems has 8 limit cycles. By using method of numerical simulation, the distributed orderliness of the 8 limit cycles is observed, and their nicety places are determined. The study also indicates that each of the 8 limit cycles passes the corresponding nicety point. The results presented here are helpful for further investigating the Hilbert’s 16th problem.

Rectilinear polygons are important in sensor location problems since they model the floor of many building. Tasks such as surveillance require observing the interior of a polygonal environment (interior covering, IC), while for inspection or image based rendering observing the boundary (edge covering, EC) is sufficient. In this note we analyse EC for rectilinear polygons and compare it with IC.

In the paper, we explore the stochastic bifurcation of the the heterogeneous delayed AIMD/RED system according to the qualitative changes in Invariant measure and stationary probability density of system response. Some new criteria ensuring stability and stochastic bifurcation are obtained.

In 1911, L. Schur showed the overall estimation for all eigenvalues of Hadamard products of positive semidefinite Hermitianmatrices. In 1992,R. A. Horn and R.Mathias obtained an approach to a block generalization of Schur’s Basic Theorem [Roger A. Horn, Roy Mathias, Block-matrix generalizations of Schur’s basic theorems on Hadamard products, Linear Algebra and its Applications, 172 (1992), 337-346.]. In this paper, we estimate every eigenvalue of the block Kronecker products of positive semidefinite Hermitian matrices under the conditions given by R. A. Horn and R. Mathias, then it has generalized the Schur’s Basic Theorem.

Speeches given by decision makers within Central Banks are subject to frequent and careful analysis. However, a systematic process for their evaluation has remained elusive. This paper introduces a methodology for a systematic process in the form of a semantic network that can be used to augment existing approaches. The approach suggests a correlation between the new systematic method and public market securities data.

How to construct harmonic structures on a class of special self-similar fractals, and then discuss their regularity are important problems in analysis on fractals. J Kigami [3,4,5,6,7] and Strichartz[8,9,10,11] have dicussed in detail. It’s very difficult to built the concept of derivative on fractals directly, therefore we have to consider to construct Laplacians on fractals. The key idea of constructing a Laplacian on fractals is finding a “self-similar” compatible sequence of resistance netwoks on {

V

m

}

m

 ≥ 0

. We can start from finite set to built a compatible sequence, then construct a harmonic structure and thus extend to the infinite points. By this way, we could discuss the property of harmonic structures on fractals. In this paper, we study harmonic extension algorithm (matrices) and harmonic structures on modified Sierpinski gaskets (

MSG

for short). And we also study the relationship between regular harmonic structure and renormalization factor on

MSG

.

Under the situation of small sample size problem, within-class average can not represent the class center accurately because of few training samples, So the recognition rate is poor. Another weakness of traditional 2DPCA is that it extract only the global feature, which can not improve the recognition rate furtherly. To improve the recognition performance, Modular 2DPCA method based on Within-Class median Face is presented. Firstly, each training samples is partitioned into several sub-images. The optimal projection matrix is calculated by replacing the within-class average with within-class median. Finally, the nearest distance classification is used to distinguish each face. To show the effectiveness of the method, many experiments, in which,5 samples of each person were selected for training, and others is used for testing, were condudcted on ORL face database. Experiment results indicate that the recognition performance of the proposed method is obviously superior to that of 2DPCA and general modular 2DPCA.

The Peer-to-peer (P2P) computing has been one of the emerging technologies in distributed file sharing. Experimental studies show that for a file download, service capacity fluctuation takes minutes to several hours. For a P2P one of the fundamental performances metric is the average download time. The common approach to analyze the average download time is average service capacity. Heterogeneity and fluctuation have significant impact on service capacity and hence the averages download time. Random Chunk Based Switching is one of the file downloading scheme where, the file to be downloaded is divided into many chunks but the short comes of this scheme are user sequentially download one chunk at a time, also if user gets stuck in a low service capacity peer, downloading a fixed amount of bytes from that peer may take a long time and here chunk size remains fixed and it does not change with time. We propose a new approach where chunk size changes with time which changes with hardware utilization which overcomes the shortcomings of Random Chunk Based Switching [2].

Communication and computer networks are usually considered to be large-scale systems which are difficult to analyze and evaluate the performance since they are extremely complex in density and scale. Congestion control mechanism for such large-scale system is very important and is also what we care about in this paper. We investigate and develop a novel cost effective analytical model to provide a suitable system performance modeling solution for large-scale systems with Random Early Detection (RED) mechanism. The large-scale system is abstracted as a discrete-time tandem queuing network with finite capacity where each node is implemented with RED algorithm. Since the exact closed-form solution is difficult to get, an approximate method which is composed of a decomposition technique and a parameter fitting algorithm is used in this paper. The credibility of the analytical model is verified by simulation. Both the single-node performance metrics and end-to-end performance measures are included to demonstrate how RED algorithm can affect the performance of the large-scale system.

Optimization is applied in developing of double public gear speed change system of main transmission, the optimal case can be obtained under certain condition, which make the total center distance of spindle box always spreading the smallest. This paper firstly introduces the particularity of the double public gear transmission and deduces the constraint condition of the transmission ratio under the different number of the spindle speeds. Then how to establish optimization design model is stated in detail. Finally, the accuracy of the model is proved by an example. The results show that the system is correct. It is characterized by the pleasing interface, convenient operation and better understanding.

In previous papers, we introduced and analyzed an innovative agile crossbar switch architecture called contention-tolerant crossbar, denoted as

CTC

(

N

), only under Bernoulli i.i.d. uniform traffic model. The

CTC

(

N

) switch achieves about 63% throughput without any internal speedup and 100% throughput with either speedup of 2 or 2

CTC

(

N

) fabrics operating in parallel. In this paper we evaluate the throughput and mean cell delay of

CTC

(

N

) switch under four different traffic models. By simulation, quantitative results are presented, evaluated and compared to traditional crossbar switches.

With the development of spatial information technology, it becomes more and more important to organize and use spatial data. However traditional database index structure in the organization and management of spatial data appeared to be inadequate. This paper presents a new hybrid spatial database index structure, QR*-tree, which is better performance to R*-tree in insertion, deletion, particularly in searching.

It is very important to correctly analyze the reliabilities of redundant repairable computer systems (RRCS) because that they are widely deployed in various critical applications. To cope with the challenges in the reliability analysis of RRCS with Weibull life distributions and lognormal repair-time distributions, this paper proposes parameter calculation methods for Weibull distributions and Lognormal distributions and Monte Carlo simulation methods for RRCS reliability. The optimal designs of repair facility and redundancy configuration with predefined computer node design and of life distribution and repair-time distribution configuration with predefined computer node availability are also presented.

Open-source GCC compiler has the advantage of high-level optimization ability and portability. Aiming at specific target platform, this paper carried out practical research and development of compiler based on GCC. Through analysis and research, this paper presented a thought: taking the analysis of RTL code as main direction to study RTL generation mechanisms and RTL code matching principles, which helps to understand the overall architecture of GCC and retargeting mechanisms of GCC. Through GCC porting practice, methods to modify the machine description for some typical instructions were presented. In the end, the generated compiler was tested by a basic C program to verify its correctness. This paper has guiding significance and reference value for understanding of compilers, GCC research, porting and optimization.

The automatic inline defect inspection system for float glass based on liner array CCD was studied. High-speed linear array CCD was used to collect light intensity signals transmitted from the glass ribbon under irradiation by Dual CCFL. Characteristic signals of typical defects and method of determining system detection resolution was analyzed. The method of data transmission based on double-DMA and ternaryzation data processing were presented, in which only the amplitude and coordinate of defect data were stored and others were discarded. It was shown from experiment results that the system detection resolution was 0.1mm and recognizable rate of defect style was 99%.

Extracting acoustic emission (AE) signals of cracks and micro-cracks after material yield phase from noise is of great significance for the study of AE character of material 2.25Cr-1Mo. In this paper wavelet was used to find out the main frequency bands of the burst cracking AE signals from the tensile test of material 2.25Cr-1Mo. Burst cracking waveform was successfully extracted from mixed waveform by reconstructing wavelet coefficients with the main frequency bands. Then the new descriptors of the waveform were determined by using of a 30% floating threshold. The DBSCAN clustering was applied to separate noise signals of electric and vibration successfully. At last the k-mean clustering was used to separate burst cracking signal data from data set effectively and accurately. According to the Analysis of the material of 2.25Cr-1Mo tensile test, the cumulative energy of burst AE signals could reflect the yield point and the degree of material damage.

The fourth generation mobile system (4G) LTE is the heterogeneous communication systems based on IP platform. With the ever-expanding scope of application, it is necessary for us to introduce IPv6 network security mechanism in order to improve the Safety performance in the network layer of 4G system. This paper starts with the characteristics of 4G mobile communication systems with IPv6 network and analyzes a series of problems lied in the 4G IPv6 networking mobile system and brings forward some constructive strategies.

In this paper, we propose two mathematical models concerning continuous and, respectively, impulsive pest control strategies. In the case in which a continuous control is used, it is shown that the model admits a stable susceptible pest-eradication equilibrium under appropriate conditions which involve parameter estimations. In the case in which an impulsive control is used, it is observed that there exists a asymptotically stable susceptible pest-eradication periodic solution on condition that the amount of infective pests released periodically is larger than some critical value.

For the mobile wireless networks’s physical properties of restrictions, I reduce appropriately Madan’s based semi-Markov process model so that it can adapt to the security requirement of mobile communication. In this paper, we propose a framework for optimizing the dynamic behavior of SMP, and use it to analyze the system parameters. Using embedded DTMC solve the system safety indicators, including system availability, reliability and services rate, and the corresponding numerical analysis results.

Sensor deployment can place effectively nodes of sensor networks and cover reasonably sensing data field in sensing data .It can also prolong life-time of time for sensor networks. It can not only collect accurately data information for sensing field, but also manage sufficiently resource in sensor networks. It has a capacious application future. These papers introduce characteristics about deployment of sensor networks and present issues about deployment of sensor networks. It expatiates on development process up to now and development tendency for the future about sensor networks research.

International Water Association (IWA) and the European Co-operation in the field of Scientific and Technical Research (COST) Action 682/624 develop the activated sludge wastewater treatment Benchmark Simulation Model No.1 (BSM1), the main purpose is to establish an activated sludge process (ASP) control program development platform. This paper detailed describes how to use Matlab M-files to establish BSM1, and then gives out the results of the model simulation.

So far, the enhanced hypercube

${\mathcal Q}_{\rm n,k}$

, where

n

,

k

are positive integers with 1≤ 

k

 ≤ 

n

–1, is one of the most versatile and efficient interconnection networks (networks for short) for parallel computation. In this paper, the properties related to connectivity in faulty

${\mathcal Q}_{n,k}$

have been investigated through the analysis of the topological structure of

n

-dimensional enhanced hypercube

${\mathcal Q}_{n,k}$

. This study demonstrates that in certain conditions, for any two different vertices there exists a hamilton path connecting

x

and

y

. Consequently the enhanced hypercubes are superior in safety.