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This paper proposed a method of conformal antenna array pattern synthesis based on convex optimization model. By combining the HFSS and Matlab tools, a simulation and optimization loop can be integrated for the antenna array synthesis. A conformal microstrip antenna array was implanted using the proposed method and the narrow beam and low side-lobe properties were obtained. The simulated results show that the method has high stability and fast computing speed, which can be a potential candidate for engineering applications.

In order to overcome the inevitable compatibility problems between the indicators in the index system, this paper uses Analytic Network Process (ANP) to deal with the tendency opinions of experts, and calculates the index weight of the evaluation system with the help of Super Decision software. From the calculation results, the index weight conforms to the expert tendency and the army evaluation practice, and the Analytic Network Process (ANP) and Super Decision software are worth popularizing.

The semiconductor industry as one of the world's most automated and advanced manufacturing produces a huge variety of data every day. How to maximize the usage of these data is what we want to discuss in this paper. A big-data platform and its applications for semiconductor manufacturing based on Hadoop framework are proposed. Hadoop is a distributed data storage and computing solution with related low hardware cost and high system reliability. It is a great significance to conducting Hadoop platform into semiconductor manufacturing that improve effectiveness and reduce production cost. To realize the aim, we illustrate two applications of statistics methods, such as PCA (Principal Component Analysis) and SVM (Support Vector Machine). PCA can be used to optimize KPI (Key Performance Indicator) enactment through the correlation between the parameters. These KPI can provide effective monitor of process anomalies. SVM is a machine learning method is useful to build a semiconductor IKL (Intelligent Knowledge Library) to store and apply engineering lesson learns based on super large amount of data. Engineers can fulfil quick safety checking based on the mode setting by SVM.

In the study of the application of the grey theory to solve the problem of small samples failure distribution, it was found that the limitations of the grey set, because the upper and lower membership of the grey set was unknown under the condition of small data. In this paper, based on the characteristics of fuzzy theory and grey theory, the grey set is improved by fuzzy theory, and the fuzzy function model with membership function is established to represent the characteristics of grey set. The fuzzy function was obtained by using the least square method according to the known data, and the membership degree was obtained. The improved model was applied to the case of small samples failure distribution, and the detailed steps were described. The result was shown that the method correctly judged the type of small samples failure distribution.

The failure mode of complex multistate system is uncertain, and the normal work probability or the failure probability of the system can not reflect the actual use of a single system. Users concern about whether the system works to a certain point of time then will fail, and then targeted for maintenance. How to evaluate the reliability of complex multistate system becomes an important research direction. In view of the above problems, a method of reliability evaluation of complex multistate system based on fuzzy fault tree was proposed in this paper. The mapping relationship between system set and fault tree set was established, and the system reliability evaluation analysis was transformed into fault tree analysis method: defined the reliability evaluation rules, established the “time - reliability” truth table of the units, established the reliability truth table of subsystems and complex systems at different time, and carried out the maintenance to the system. The evaluation rules of the method were expressed by a simple complex multistate system, and the effectiveness of the proposed method was proved.

Traditional methods for analyzing system reliability involve the use of unit reliability and system composition. Probability theory-based calculations are subsequently made to obtain system reliability. However, these methods fail to consider the type of failure distribution that exists in system units, resulting in inaccurate system reliability calculations at any given time. For two systems that feature the same system reliability, these methods also fail to take into account the effect of differences in unit reliability on system reliability. The process in which system units go from a normal working state to a failure state can be described as a fuzzy process. In this study, introduced a novel method that based on fuzzy probability analyze system reliability. This method is based on the assumption that unit reliability is a fuzzy probability-based event and involves analyzing failure distribution membership function to determine the reliability of system units at any given time. The concepts of system failure probability (which is a characteristic quantity used to measure the effect of differences in unit reliability on system reliability) and integrated system reliability (which is a characteristic quantity that allows comprehensive evaluation of system reliability) are introduced. The proposed method was adopted in the reliability analysis of series, parallel, and compound systems. The results verified the effectiveness of the proposed method.

Contactless power transmission system can supply power in non-contact way for many electronic equipments, it has become a hot topic in recent research. Take topological structure of serial-parallel CPT system for example, the optimal values of the compensation capacitors which can solve the poor coupling problem of the separable transformer are determined. A frequency tracking control system based on single chip microcomputer was designed, which can overcome the problem of system resonant frequency changed in the conditions of load switch and different transmission distances to improve the transmission power. Simulation and experiment proved the correctness of theoretical analysis.

With the feature size of semiconductor technology reduced and (Intellectual Properties) IP cores increased, on chip interconnection network architectures have a great influence on the performance and area of System-on-Chip(SoC) design. Focusing on trade-off performance, cost and implementation, a regular Network-on-Chip NoC architecture, named Mesh-Connected Rings (MCR) interconnection network, is proposed. The topology of MCR is simple, planar and scalable in architecture, which combines Mesh with Ring. A detailed theoretical analysis for MCR and Mesh is given, and a simulation analysis based on the virtual channel router with wormhole switching is also presented. The results compared with the general Mesh architecture show that MCR has better performance, especially in local traffics and low loads, and lower cost.

A spiral case structure with cushion layer has been analyzed by three-dimensional nonlinear finite element method based on ABAQUS and the influence of contact friction characteristic between steel spiral case and surrounding concrete on the stress status of the structure are studied. When the contact slippage is considered, the load bearing ratio of the steel spiral case will increase and its average circumferential stress will increase by 40%, while the load bearing ratio of the rebar and the damage area of the concrete will decrease. This is beneficial to improve the crack resistance safety and the integrity of the surrounding concrete structure. Therefore the influence of contact friction characteristic should be respected in the simulation of the spiral case structure with cushion layer.

Aiming at the lack of quantitative research of configuration improvement upon ship maintenance costs presently, the hedonic price theory is put forward into this paper on the basis of analyzing heterogeneity characteristics of the ship maintenance activities. And the configuration improvement can be seen as a hedonic of ship maintenance costs as well as others, and then quantified under the quantification principle. Based on the above work, the hedonic model of ship maintenance cost is established based on the Box-Cox transformed combinated data to analyze the influence of configuration improvement upon ship maintenance cost. The empirical results of this hedonic model show that the flexibility coefficient exceeds 1 all the time, and steps down while the numerical value of configuration improvement ascends. The results indicate that the ship maintenance cost grows faster than the degree of configuration improvement, but this trend is slowing in long term.

According to the ship maintenance structure, the ship maintenance cost can be divided into some parts. Taking the proportions of every part in the gross as independent variables and the ship maintenance cost benefit as explained variable, and a model among the whole benefit of ship maintenance cost and the proportions of every item cost is established through the regress analysis method. Then a hybrid search algorithm which is developed from the simulated annealing particle swarm optimization and tabu search is proposed to find the best allocation policy to obtain the max benefit of ship maintenance cost. And the calculated result shows that the proposed hybrid strategy has the best performance compared with the result obtained by tabu search, particle swarm optimization, and simulated annealing, which is proved by the simulations.

The ship building process is affected by many factors from ship itself and the objective environment, so find out the rule of every factors and manage them can effectively control the building cost of ships. Based on analysis of factors which affect building costs of navy ship, introduce the grey correlation analysis method to analyze the mutual correlation and important degree of every factor, point out main external factors and internal factors. At last, give policy and management advice based on the current work.

The development of regional economy in Heilongjiang province is a growth pattern relied on the natural resources; however the over-consumption of natural resources, the low increase in value-added rate, a larger impact on environment and the limited space in industrial sustainable development make the majority of industrial division lying in the bottom of the value chain. Through the research on the driving mechanism that service outsourcing doing to economic growth, we can make low consumption of natural resources, high value-added, high employment absorbing service outsourcing industry as the strategic leading industry of economic growth. Simultaneously, we can build the policy system for the development of both the soft and hard environment of service outsoucing according to the advanced experience on policy making, park construction and investment promotion.

Based on the yearly data from 1979 to 2009, the VAR model between CPI and ship maintenance hourly rate is established on the results of correlation, stationarity and cointegration test of the samples data. And then the Granger causality test, impulse response function and variance decomposition are applied into the dynamic analysis of the VAR model established in this paper. The empirical results show that there is a long-run equilibrium relationship between them. The CPI is the granger causality of the changes of hourly rate, and the reverse conclusion is also existed. A plus response would appear in time when the CPI changes and this influence has a long effect. The hourly rate is influenced by its inertia greatly in short-time, then the contributive percent from the CPI ascends rapidly to the degree which is equal to the degree of hourly rate inertia. The response of CPI to the change of hourly rate has one year lag, and the degree is also relatively insignificant to the inverse response. In the long term, the trace of hourly rate is ascending and fluctuating owing to the impact relations between CPI and hourly rate.

Based on the China seasonally adjusted monthly chain price indexes, the VAR model has been used in the research on the transmission mechanism of market price. Empirical results show that MPI, PPI, CPI monthly chain index are not smooth series, but with cointegration relationship in China, and a long-run equilibrium relationship exists among them. Then Granger causality test and impulse response function analysis is applied into the VAR model based on them, and the conclusions are as follows: there is a demand-pull characteristic in China price transmission, and the effect of transmission from CPI to PPI is very obvious, but has two months lag, the transmission from PPI to MPI has the same effect. In addition, the impact of transm-ission from CPI to PPI is gradually stable after three months, and the stabilization time of transmission from PPI to MPI is four months. And then the market prices have entered a new equilibrium. The conclusion shows that the market price is influ-enced by demand in current time, the price fluctuations in the consumption area will have an impact and influence on the whole industrial chain price, and the CPI has become the leading indicators in the price fluctuations.

To rationally develop low permeability reservoir, enhanced oil recovery, Changqing Oilfield launched a special low permeability oil field development studies. Based Changqing oilfield Yanhewan block this typical ultra-low permeability reservoir, use the numerical simulation method simulate the instability of water injection and gas injection alternating different effects of the development. The simulation results show that injection cycle in the early development of poor results, but the technique ultimately better results in the development of continuous injection; Gas-water cycle alternating six months of the development of better results in alternating cycles of three months, After the first injection of gas injection in better after the first injection of gas injection development effect, the study of the block for the rational development of a new approach.

In order to predict the dynamic surface subsidence and deformation, a working face was divided into some mining elements along strike according to the face advancing, and the dynamic surface subsidence and deformation was regard as the superposition of the dynamic subsidence and deformation independently of all these mining elements. There might be a section of which width was shorter than a mining element when dividing a face using equal distance method was indicated, and the section should be calculated specially in the algorithm. A model of predicting dynamic surface subsidence and deformation was established based on the generalized time function and probability integral method. A method how to divide a face and the relations among different coordinates were presented. The algorithm steps of the dynamic prediction model for multi-face mining were designed. The algorithm was implemented by using C# programming language based on .NET 2005. The algorithm was tested by the measured subsidence values of 30 monitoring points located in observation east line of some mine 1176 east working face, the result showed that the prediction results agreed well with the observation data, and the feasibility and effectiveness of the algorithm were demonstrated. Keywords-multi-workface mining; surface subsidence and deformation; dynamic prediction algorithm; generalized time function I. INTRODUCTION

Relevance vector machines have been successfully used in many domains, while their application in software reliability prediction is still quite rare. We proposed an RVM-based model for software reliability prediction, the RVM learning scheme is applied to the failure time data, forcing the network to learn and recognize the inherent internal temporal property of software failure sequence in order to capture the most current feature hidden inside the software failure behavior. We also compare the prediction accuracy of software reliability prediction models based on RVM, SVM and ANN. Experimental results show that our proposed RVM-based software reliability prediction model could achieve a higher prediction accuracy compared with ANN-based and SVM-based models.

Synthetic aperture radar (SAR) imaging techniques have been successfully developed for static ground targets, but if the moving target returns are processed in the conventional imaging way, the resulting SAR image of moving targets will appear blurred and be misplaced in azimuth direction. In this paper, we proposed a method which is based on keystone transform and fractional Fourier transform (FrFT) to solve these problems. Firstly, first order keystone transform is performed on range compression results to correct range walk, then estimates of Doppler Centroid and Doppler modulation rate are obtained by using fractional Fourier transform, finally focused image of multiple moving targets is achieved by making use of the Doppler estimates. It can ascertain initial positions of multiple moving targets; moreover, it can estimate azimuth velocity, radial velocity and radial acceleration for every moving target. The simulation results show that this method can image and locate multiple ground moving targets effectively.

A new analysis method of reliability test data about low-voltage electrical appliance is proposed based on grey theory, which can be applied to solve small sample size problem. The conception, that is called “grey stability”, is first proposed and defined notion and derivation of mathematical expression. It has important engineering significance in the field of reliability. The test data about electrical contact reliability of electromagnetic relay is processed and analyzed, so property conclusion is acquired. The efficiency and applicability of this analysis method is demonstrated by an application example. The method is applicable for different products in the same test environment for one or several indicators to be chosen less test samples. The appliance of grey stability can obtain the numerical simulation based on characteristic of small samples, so it’s better to reflect features of the overall products through analyzing the samples of gray stability.

This paper presents a case study of the complete baseband part of basestation that is designed and implemented using ring network on chip (ftNoC). By combining general-purpose and application-specific hardware, it is possible to integrate the complete baseband part of TD-SCDMA basestation on a single chip. In ftNoC, links are divided into two groups of ring, one of them used for fault-tolerance. Each group contains a control-ring and a data-ring. Control-ring propagates routing, link error and error control information of all nodes by packet-switching and data-ring propagates data by circuit-switching. Ring network adopts time-division multiplexing (TDM) and priority mechanism to implement space division multiplexing (SDM) of bandwidth and fair routing. Simulation results show the baseband part of TD-SCDMA designed using ftNoC perfectly accords with the requirement of TD-SCDMA at a network clock frequency of 200 MHz. And the architecture can efficiently avoid traffic congestion, deadlock and starvation and ensure full use of bandwidth.

An important issue in the design of interconnection networks for massively parallel computers is scalability. A new scalable interconnection network topology, called double-loop hypercube (DLH), is proposed. The DLH network combines the positive features of hypercube topology, such as small diameter, high connectivity, symmetry and simple routing, and the scalability and constant node degree of a new double-loop topology. The DLH network can maintain a constant node degree regardless of the increase in the network size. The nodes of the DLH network adopt the hybrid coding combining Johnson code and Gray code. The hybrid coding scheme can make routing algorithms simple and efficient. Both unicasting and broadcasting routing algorithms are designed for the DLH network, and it is based on the hybrid coding scheme. A detailed analysis shows that the DLH network is a better interconnection network in the properties of topology and the performance of communication.

The paper brings forward a hierarchical ring NoC (network on chip) topology whose links are divided into two groups of rings for fault-tolerance. Each group of ring contains one control-ring and one data ring. Control-ring propagates the information of routing, link error and error control of all nodes using packet switching. Data-ring exchanges data using circuit switching. Three pipeline stages architecture without buffer is presented that minimizes the delay of communications among nodes. Ring network adopts time division multiplexing and priority mechanism to implement space division multiplexing of bandwidth and fair routing. Simulation results show that the architecture can efficiently avoid traffic congestion, deadlock and starvation and ensure full use of bandwidth.

With the feature size of semiconductor technology reducing and intellectual properties (IP) cores increasing, on chip communication architectures have a great influence on the performance and area of system-on-chip (SoC) design. Network-on-chip (NoC) has been proposed as a promising solution to complex SoC communication problems and has been widely accepted by academe and industry. Focusing on decreasing node degrees, reducing links and reusing router nodes, a regular NoC architecture, named generalized Petersen (GP(2m,1)) graph interconnection network, is proposed. The topology of GP(2m,1) is simple, symmetric and scalable in architecture, and it is 3-regular plane graph with 4 m nodes. The nodes of GP(2m,1) adopt Johnson coding scheme that can make the design of routing algorithms simple and efficient. The GP(2m,1) was compared with ring and 2D mesh by simulating and analysing, both under uniform load and under more realistic load assumptions in the several network size scenarios. The results show that the GP(2m,1) topology is a good trade-off between performance and cost, and it is a better NoC topology when there are not too many network nodes.

In recent years, there has been an increasing interest in data clustering of short documents. Existing works consider seldom the concept similarity between the words, so the quality of clustering is often very low. This paper proposes a new document-clustering algorithm based on concept similarity in Chinese text processing. Different from tradition method, the algorithm converts text into a words vector space model at first; it splits words into a set of concepts at second; 3rd, it gets the similarity between words through computing the inner products between concepts; 4th, it computes the similarity of text based on the similarity of words. Finally, through two-phased steps, the algorithm finishes the clustering of a specified set of document. The extensive experiments prove the validity and performance of the algorithm.

Many complex distributed real-time applications, monitoring and controlling the external environment, require sophisticated processing and sharing of an extensive amount of data under critical timing constraints. We present adaptive real-time publish-subscribe (RTPS) messaging service for distributed real-time applications, and four primitives are defined for expressing the adaptive RTPS. Furthermore, adaptive RTPS is incorporated into an active real-time database (ARTDB) named Agilor by translating RTPS primitives into subscription objects and ECA rules. We also apply real-time scheduling algorithm to protocol processing for improving predictability and minimizing priority inversions during message transmission. The experimental results indicate the idea is feasible, and the current implementation shows better performance