A design of space robot multi-target capture algorithm based on DSP

To correctly capture spatial targets from cluttered and motive celestial background, a new MultiTarget Capture algorithm was proposed, which is a comparative difference algorithm based on the combination of centroid extraction and despun registration of efficient points. Moreover, this algorithm was applied in an image processing system based on the DSP featuring high speed and high performance. The procedures of image processing are as follows: first, label efficient points in the frame and extract their centroids; second, make appropriate despun registration, according to the reference rotation angles provided by Space Robot position system; third, translate and register centroid coordinates of efficient points in reference frames and get the registration points according to the principle that there are the most same centroid coordinates of efficient points when completely registered; finally, eliminate the same background points by using comparative difference method. The result shows that this image processing system can meet the needs of the whole system.     

the Dispute over Domestication and Foreignization in China

Foreignization and domestication as two major translation techniques have long been the focus of the debate in translation circles. The paper reviews the history of the dispute by introducing some essays on domestication and foreignization published in key translation jour- nals in China. The ultimate aim of this dissertation is to propose that domestication and foreignization co-exist and a good translation contains both strategies. So it is unnecessary to argue which one is better. As the number of the example in this paper is limited, its credibility needs further investigation and research.     

Performance Modeling and Approximate Analysis of Multiserver Multiqueue Systems with Poisson and Self-similar Arrivals

The problem of state space explosion is still ran outstanding challenge in Markovian performance analysis for multiserver multiqueue (MSMQ) systems. The system behavior of a MSMQ system is described using stochastic high-level Petri net (SHLPN) models, and an approximate performance analysis technique is proposed based on decomposition and refinement methods as well as iteration technique. A real MSMQ system, Web-server cluster, is investigated. The performance of an integrated scheme of request dispatching and scheduling is analyzed with both Poisson and self-similar request arrivals. The study shows that the approximate analysis technique significantly reduces the complexity of the model solution and is also efficient for accuracy of numerical results.     

Application of intelligent control theory in AC servo system

An AC servo system based on neuron control theory is presented. Experimental results show that the neural control mode doesn't need the Precise model of the system, therefore, it has many advantages, such as simple design and high response performance. The simulation research of the AC servo system which is non-linear, time-varied.based on neuro-fuzzy controller is done. The results of the simulation show that the performances of the system are considerably improved and it is one of the novel pathways to realize intelligent control of servo system.     

Workflow logs analysis system for enterprise performance measurement

Workflow logs that record the execution of business processes offer very valuable data resource for real-time enterprise performance measurement. In this paper, a novel scheme that uses the technology of data warehouse and OLAP to explore workflow logs and create complex analysis reports for enterprise performance measurement is proposed. Three key points of this scheme are studied： 1） the measure set; 2） the open and flexible architecture for workflow logs analysis system; 3） the data models in WFMS and data warehouse. A case study that shows the validity of the scheme is also provided.     

Multi-step evolution and measurement control of finite-dimensional quantum systems

For finite-dimensional quantum systems,we propose a quantum control scheme based on a multi-step unitary evolution and quantum projective measurements.The objective is to design a control law to steer the system to a target eigenstate of the measurement operator in the least number of steps.Within each control step,unitary evolution and quantum projective measurement are performed in turn until the system reaches the target state.The control process can be modeled as a finite-state Markov chain with an absorbing state.We prove that the controlled system will converge to the target eigenstate with probability one after a finite number of control steps and find a minimal-step-number condition that would steer the system to the target eigenstate in the least number of steps.     

Improved Minimum Detectable Velocity in Bistatic Space-Based Radar

Single orbit bistatic space-based radar （SBR） is composed of two radars in the same orbit. The characteristics of the clutter Doppler-angle spectrum of a single orbit bistatic SBR show that the slope of the mainbeam clutter spectrum is highly sensitive to the cone angles. Therefore, the minimum detectable velocity of the bistatic system is dependent on the cone angle. Then a new combined working mode of singleorbit bistatic SBR system was developed in which one radar will act as the transmitter and another as the receiver to improve detection performance for all angles. Simulation results by space-time adaptive processing verify the improved detection performance. The new design also reduces the average power of each radar system and the size and weight of the on-board solar array-battery system.     

Data based model free hysteresis identification for a nonlinear structure

In the last two decades, the damage detection for civil engineering structures has been widely treated as a modal analysis problem and most of the currently available vibration-based system identification approaches are based on modal parameters, namely the natural frequencies, mode shapes and damping ratios, and/or their derivations, which are suitable for linear systems. Nonlinearity is generic in engineering structures. For example, the initiation and development of cracks in civil engineering structures as typical structural damages are nonlinear process. One of the major challenges in damage detection, early warning and damage prognosis is to obtain reasonably accurate identification of nonlinear performance such as hysteresis which is the direct indicator of damage initiation and development under dynamic excitations. In this study, a general data-based identification approach for hysteretic performance in form of nonlinear restoring force using structural dynamic responses and complete and incomplete excitation measurement time series was proposed and validated with a 4-story frame structure equipped with smart devices of magneto-rheological (MR) damper to simulate nonlinear performance. Firstly, as an optimization method, the least-squares technique was employed to identify the system matrices of an equivalent linear system of the nonlinear structure model basing on the excitation force and the corresponding vibration measurements with impact test when complete and incomplete excitations; and secondly, the nonlinear restoring force of the structure was identified and compared with the test measurements finally. Results show that the proposed data-based approach is capable of identifying the nonlinear behavior of engineering structures and can be employed to evaluate the damage initiation and development of different structure under dynamic loads.     

I-sieve: An Inline High Performance Deduplication System Used in Cloud Storage

Data deduplication is an emerging and widely employed method for current storage systems. As this technology is gradually applied in inline scenarios such as with virtual machines and cloud storage systems, this study proposes a novel deduplication architecture called I-sieve. The goal of I-sieve is to realize a high performance data sieve system based on i SCSI in the cloud storage system. We also design the corresponding index and mapping tables and present a multi-level cache using a solid state drive to reduce RAM consumption and to optimize lookup performance. A prototype of I-sieve is implemented based on the open source i SCSI target, and many experiments have been conducted driven by virtual machine images and testing tools. The evaluation results show excellent deduplication and foreground performance. More importantly, I-sieve can co-exist with the existing deduplication systems as long as they support the i SCSI protocol.     

New Restructuring Model for Chinese M&S SOEs:A Case of Executive Holding Major Capital Stock

The reform for Chinese state-owned enterprises (SOEs) during the past twenty years selected several ways which couldn't solve essential problems and improve the performance of the SOEs in China. The reason is that traditional ownership institution wasn't changed at all, the institution reach an impasse in market system which resulted in the fact that SOEs couldn't get used to keen competition. This paper analyses an ownership restructuring case in which an executive holds major capital stock in a state textile institute restructured and therefore the state ownership was withdrawn from it completely, it expounds the rationality of the model selected and points out that the model is currently a very effective way by which M & S SOEs would withdraw from competitive business field successfully.     

A New Algorithm for the Establishing Data Association Between a Camera and a 2-D LIDAR

In this paper,we propose a new algorithm to establish the data association between a camera and a 2-D Light Detection And Ranging sensor （LIDAR）.In contrast to the previous works,where data association is established by calibrating the intrinsic parameters of the camera and the extrinsic parameters of the camera and the LIDAR,we formulate the map between laser points and pixels as a 2-D homography.The line-point correspondence is employed to construct geometric constraint on the homography matrix.This enables checkerboard to be not essential and any object with straight boundary can be an effective target.The calculation of the 2-D homography matrix consists of a linear least-squares solution of a homogeneous system followed by a nonlinear minimization of the geometric error in the image plane.Since the measurement quality impacts on the accuracy of the result,we investigate the equivalent constraint and show that placing the calibration target nearby the 2-D LIDAR will provide sufficient constraints to calculate the 2-D homography matrix.Simulation and experimental results validate that the proposed algorithm is robust and accurate.Compared with the previous works,which require two calibration processes and special calibration targets such as checkerboard,our method is more flexible and easier to perform.     

Set point optimization of controlled Organic Rankine Cycle systems

In this paper, an approach to optimize set points is proposed for controlled Organic Rankine Cycle （ORC） systems. Owing to both disturbances and variations of operating point existing in ORC systems, it is necessary to optimize the set points for controlled ORC systems so as to improve the energy conversion efficiency. At first, the optimal set points of controlled ORC systems are investi- gated by revisiting performance analysis and optimization of ORC systems. The expected set points of the evaporating pressure and the temperature at evaporator outlet are then determined by combining genetic algorithm with least squares support vector machine （GA-LSSVM）. Simulation results show that the predicted results by GA-LSSVM can be regarded as the optimal set points of controlled ORC systems with varying operating conditions.     

The materials genome and CALPHAD

The mapping of the human genome is an important basis for the development of new medicals and medical treatments.Consequently,it has attracted tremendous research funding over the last decade.On June2011,the Materials Genome Initiative was announced by the US President Obama as collaboration on modeling and advanced materials databases.Unfortunately,the materials genome was given a rather vague definition in the announcement.However,the materials genome should be defined in analogy with biological genomes and one may then conclude that:at any moment,the performance of a specific material depends on its chemical composition(inherent property stored in its genome)and its environment(external interactions–processing–conditions during usage).The materials genome should thus be defined as a set of information encoded in the language of thermodynamics obtained by careful assessment of experimental data and quantum mechanical calculations from which certain conclusions about the material can be drawn.The CALPHAD databases contain the thermodynamic and kinetic properties of a materials system.Such databases allow the prediction of materials structure as well as its response to processing and usage conditions,and are major parts of integrated computational materials engineering.     

Calculation methodology of marine environmental capacity for heavy metal: A case study in Jiaozhou Bay, China

Results from past pollution control practices show that environmental quality can be ensured by controlling the actual amount of pollutants formed in the environment.Therefore,the marine environmental capacity for heavy metals was introduced.Marine environmental capacity for heavy metals is defined as the maximum amount of heavy metals permitted in the marine environment system to preserve the benign cycle of materials in the oceansphere,and to limit the adverse effects of heavy metals on the biosphere,hydrosphere,atmosphere,and lithosphere.Based on the box or three-dimensional model in the target coastal region,including the self-purification and output of heavy metals,the marine environmental capacity for heavy metals can be calculated within a given criterion and time.In this study,a method was proposed to calculate the marine environmental capacity for heavy metals which includes four steps:(1) gathering the basis information of target coastal ecosystem,(2) selection of water control points and water quality criteria for these points,(3) development of numerical models for the biogeochemical cycling of heavy metals in target coastal region,and(4) calculation of environmental capacity using the developed model.According to the proposed method,the marine environmental capacity for lead is approximately 60 tons per year if Grade I seawater quality is set as the control criterion in Jiaozhou Bay.An effective seawater quality management plan can also be framed based on the environmental capacity for metals.     

Investigation of an energy nonadditivity for nonextensive systems

We investigate the energy nonadditivity relationship E(AαB) = E(A) + E(B) + αE(A)E(B) which is often considered in the development of the statistical physics of nonextensive systems. It was recently found that α in this equation was not constant for a given system in a given situation and could not characterize nonextensivity for that system. In this work, we select several typical nonextensive systems and compute the behavior of α when a system changes its size or is divided into subsystems in different fashions. Three kinds of interactions are considered. It is found by a thought experiment that α depends on the system size and the interaction as expected and on the way we divide the system. However, one of the major results of this work is that, for given system, α has a minimum with respect to division position. Around this position, there is a zone in which α is more or less constant, a situation where the sizes of the subsystems are comparable. The width of this zone depends on the interaction and on the system size. We conclude that if α is considered approximately constant in this zone, the two mathematical difficulties raised in previous studies are solved, meaning that the nonadditive relationship can characterize the nonadditivity of the system as an approximation. In all the cases, α tends to zero in the thermodynamic limit (N→∞) as expected.     

Platform for dynamic virtual auditory environment real-time rendering system

This paper reports the recent works and progress on a PC and C++ language-based virtual auditory environment(VAE) system platform.By tracing the temporary location and orientation of listener’s head and dynamically simulating the acoustic propagation from sound source to two ears,the system is capable of recreating free-field virtual sources at various directions and distances as well as auditory perception in reflective environment via headphone presentation.Schemes for improving VAE performance,including PCA-based(principal components analysis) near-field virtual source synthesis,simulating six degrees of freedom of head movement,are proposed.Especially,the PCA-based scheme greatly reduces the computational cost of multiple virtual sources synthesis.Test demonstrates that the system exhibits improved performances as compared with some existing systems.It is able to simultaneously render up to 280 virtual sources using conventional scheme,and 4500 virtual sources using the PCA-based scheme.A set of psychoacoustic experiments also validate the performance of the system,and at the same time,provide some preliminary results on the research of binaural hearing.The functions of the VAE system is being extended and the system serves as a flexible and powerful platform for future binaural hearing researches and virtual reality applications.     

Nuclear Power Plant Life Extension - How Aging Affects Performance of Containments Other Structures

This paper focuses on how aging can affect performance of safety-related structures in nuclear power plants (NPPs). Knowledge and assessment of impacts of aging on structures is essential to Plant Life Extension analysis, especially performance to severe loadings such as loss-of-coolant-accidents or major seismic events. Plant life extension issues are of keen interest in countries (like the United States) which have a large, aging fleet of NPPs. Seismic issues are of heightened interest to the worldwide nuclear community in the wake of the 2011 Tohoku Earthquake and Tsunami. This paper addresses the overlap and relationship of structure aging to severe loading performance, with particular emphasis on containment structures.     

Recent developments in neuropsychological endophenotypes for schizophrenia: Development of the MATRICS battery,liability syndromes and the near future

Cognitive deficits are now recognized widely as core features of schizophrenia, and as major contributors to the clinical outcome of the disorder. They are also studied widely as ‘endophenotypes’, reflecting a growing consensus that schizophrenia is a broader, more multidimensional illness than the diagnostic criteria required for its formal diagnosis. This evolving view of cognition underlies its utilization in recent initiatives for intervention and assessment in schizophrenia. Two of these initiatives ar...