bluuebunny/crossref_metadata_2025 huggingface dataset:
A Solving Algorithm of Fuzzy Support Vector Machines Based on Determination of Membership
Authors: Duan Hua , Hou Yan Mei
Published: September 2013

In order to overcome the issues that Support Vector Machine is sensitive to the outlier and noise points, Fuzzy Support Vector Machine (FSVM) is proposed. The key issue to solve the FSVM is determinate the fuzzy membership. This paper gives an overview of construction algorithm of the fuzzy membership. We also give an algorithm to solve FSVM that is derived from improved-SMO algorithm.
A Strategy of Constructing Heterogeneous Cost-Sensitive Decision Tree
Authors: Yuan Ding Rong , Huang Xiao Meng , Duan Qiao Ling , Fu Hui Wen
Published: September 2013

Usually, the algorithm of constructing cost-sensitive decision tree assume that all types of cost can be converted into a unified units of the same price, apparently how to construct an cost conversion function is an challenge. In this paper, a strategy of constructing heterogeneous cost-sensitive decision tree is designed and the different cost are take into account together in split attribute selection. Whats more, an attribute selection model based on heterogeneous cost-sensitive is constructed and the pruning strategy based on cost-sencitive is designed. The experimental results show that the proposed method is correct and more efficient than the present other methods
An Location-Routing Problem with Simultaneous Pickup and Delivery in Urban-Rural Dual-Directions Logistics Network
Authors: Wang Xue Feng
Published: September 2013

The design and optimization of urban-rural dual-directions logistics network is a substantial important issue, which will directly affect the development of the urban-rural integration in China. A reasonable scheme of logistics network will contribute to supply efficient logistics services to customers scattering in urban and rural areas. In this paper, we consider a variant of the Location-Routing-Problem (LRP), namely the LRP with simultaneous pickup and delivery in specially background (LRPSB). The objective of LRPSB is to minimize the total system cost, including depot location cost and vehicle routing cost, and implement and control the effective dual-direct commodity flow to meet customers requirement by simultaneously locating the depots and designing the vehicle routes that satisfy pickup and delivery demand of customer at the same time. A nonlinear mixed integrated programming model is formulated for the problem. Since such integrated logistics network design problems belong to a class of NP-hard problems, we propose a two-phase heuristic approach based on Tabu Search, tp-TS, to solve the large size problem and an initialization procedure to generate an initial solution for the tp-TS. We then empirically evaluate the strengths of the proposed formulations with respect to their ability to find optimal solutions or strong lower bounds, and investigate the effectiveness of the proposed heuristic approach. Computational results show that the proposed heuristic approach is computationally efficient in finding good quality solutions for the LRPSB.
A Novel Method for Fault Diagnosis Based on PCA Enhanced by Wavelet Denoising
Authors: Qiao Feng , Zhao Hao Ming , Zhang Feng , Ma Qing
Published: September 2013

There are some disadvantages for fault detection and diagnosis with traditional Principal Component Analysis (PCA) method because of its shortcomings. It is, in this paper, presented a novel fault diagnosis method based on conventional PCA enhanced by wavelet denoising. The proposed method employs wavelet denoising to deal with the signals, which can reserve enough information of original data, and then establishes PCA model. Based on SPE and T2 statistics, abnormal situation can be detected. And the location of the fault can be recognized via contribution plots. At last, the simulation studies with Matlab are carried out to verify the correctness and effectiveness of the proposed method, the advantages of the proposed method over the conventional PCA also are shown in the simulation.
The Calibration of Key Parameters for Sugarcane Harvester Basecutter
Authors: Wang Hai Fei , Guo Zi Peng , Fu Cui , Jing Bo
Published: September 2013

in order to calibrate the critical work parameters and structure parameters impacting the broken rate in the working of sugarcane harvester cutter, we establish the kinematics model of the cutter. analyse the matching conditions of running speed and cutter speed, the mechanism of the structural parameters in working . We use cubic regression analysis to establish the mathematical model associating the broken rate and the parameters and we discover the running speed play a dominant role. For the model ,we use the PSO (Particle Swarm Optimization) to obtain the optimal value of the parameters and research how the working parameters impact the broken rate under the optimal structural parameters. Finally, the field test of the prototype proves that the broken rate can be reduced to 2.12% under the optimal parameters.
Research on K-Anonymity Algorithm in Privacy Protection
Authors: Wang Chen , Liu Lian Zhong , Gao Li Jie
Published: September 2013

Nowadays, people pay great attention to the privacy protection, therefore the technology of anonymization has been widely used. However, most of current methods strictly depend on the predefined ordering relation on the generalization layer or attribute domain, making the anonymous result is a high degree of information loss, thereby reducing the availability of data. In order to solve the problem, we propose a K-Members Clustering Algorithm to reduce the information loss, and improve the performance of k-anonymity in privacy protection.
An Adaptive Channel Estimation Based on Polynomial Fitting for LTE Uplink in High Doppler Spread Scenario
Authors: Liu Bei Jia , Wang Xiao , Tan Xue Zhi , Yu Yang
Published: September 2013

Channel estimation plays a crucial role in improving the overall system performance in long term evolution (LTE) systems. However, it is demonstrated that conventional channel estimation algorithms have poor performance in the presence of a large Doppler frequency shift. To mitigate the adverse effect of Doppler frequency shift on transmission signals, an adaptive anti-Doppler shift method based on polynomial fitting for LTE uplink is proposed in this paper. Furthermore, an adaptive strategy is exploited to improve estimation accuracy and reduce estimation mean square error (MSE), achieving better system performance. Simulations results validate the effectiveness of anti-Doppler algorithm.
Study on the Multi-Core DSP Parallel Processing of Polarization Images Registration
Authors: Li Zhi Yong , Ai Yun Ping
Published: September 2013

Three-channel polarization images must be registered before pixel-level fusion processing to acquire accurate polarization characteristics information. In the condition of serial processing, the image registration efficiency is bad, and then the real-time of polarization imaging application is poor. The multi-core DSP chip which type is TMS320C6670 is selected as the polarization images processing platform. Fourier-Mellin Transform (FMT) is selected as the registration algorithm. The parallel processing of the polarization image registration is studied based on data flow model. The hierarchical task graph is designed in the parallel processing tasks partitioning. According to processing performance and functions, four DSP cores and two FFT coprocessors are divided into different processor groups in each task processing stage. Same hierarchical tasks are assigned to each processor group. According to principles including load balancing and reducing inter-processor communication, algorithms and data of each hierarchical task are assigned manually to each processing unit in the processor group. Experimental results show that the average processing time is 0.429 second while the average registration accuracy achieves 0.5 pixel, the propose parallel processing method improves the efficiency of the polarization image registration.
An Effective Image Fusion Method Based on Nonsubsampled Contourlet Transform and Pulse Coupled Neural Network
Authors: Ma Li Juan , Zhao Chun Hui
Published: September 2013

In order to solve the problem of spectral distortion and the fuzzy texture in visible and infrared image fusion technology, a novel visible and infrared image fusion method based on the Nonsubsampled Contourlet Transform (NSCT) and Pulse Coupled Neural Networks (PCNN) is proposed in this paper. First, we gain three components of visible image, luminance I, chrominance H and saturation S, using the IHS transform. Then, we gain three coefficients, low frequency sub-band, passband sub-band and high frequency coefficient by decomposing the component I and infrared image with the help of the NSCT. Next, we use weighted-sum method to fuse the low frequency sub-band and PCNN method to fuse the other sub-band coefficient respectively. At last, we gain the fusion image by using the inverse IHS transform on the fusion component I gained by the inverse NSCT transform. Experiments show that our method have better fusion quality and can be more better to keep the visible spectral and detail information than some traditional methods such as, Laplace method, Wavelet method and Lifting Wavelet method.
Blind Image Separation Based on an Optimized Fast Fixed Point Algorithm
Authors: Yuan Wei , Zhang Li Yi
Published: September 2013

An optimized fast fixed point algorithm based on modified Newton iteration method has been proposed. With good performance ofthe blind image separation, the optimized algorithm can improve the convergence speed greatly.We proposed a new adaptive enhancement parameter to enhance the separated images effectively. The experimental results demonstrate that the new algorithm is superior.
A Realization of Security Model on Unified Database Console
Authors: Wang Hui , Liu Lian Zhong
Published: September 2013

As an extremely important platform of data storage, database management system (DBMS) is widely used in all kinds of enterprises and departments. The availability and security is a critical performance index for database. How to help administrator keep database secure and effective is a key job of database administration. This paper proposes a secure model of database management for administrator and achieved a secure database console to implement this model.
Coarse Frequency Offset Estimation of TD-LTE Based on Spectrum Centroid
Authors: Fu Yan Chao , Zhou Chun Hui , Dong Yuan Liang , Shi Zhi Yuan
Published: September 2013

Frequency offset brings a great impact on communication, a small amount of which may cause a serious decline in the performance of communication system. So frequency offset estimation has great significance. TD-LTE system is very sensitive to the frequency offset, we propose a method to estimate the integer frequency offset through calculating spectrum centroid. Simulation results show that the algorithm has a good performance and lower complexity compared with some integer frequency offset estimation algorithms based on data-aided.
Transient Signal Feature Extraction Based on Box Dimension and the Largest Lyapunov Dimension
Authors: Zhao Cai Dan , Yan Fu Jia , Gao Ming Hui , Huang Lian Fen
Published: September 2013

Cognitive radio is one kind of wireless communication technology, which is to effectively improve the spectrum efficiency by the way of wireless spectrum sensing. Besides of varieties of security issues of the traditional wireless communication, it also has some new problems, such as Primary User Emulation (PUE) attack. This essay presents that based on the fractal dimension of the transient signal characteristics extraction to protect the PUE attack from the cognitive wireless networks, and then extract the fractal dimension of wireless transmitter through experiments to provide reliable characteristic parameters for the next signal recognition, finally to prevent PUEs attack.
Imbalanced Data Detection Kernel Method in Closed Systems
Authors: Lu You Li , Luo Jun
Published: September 2013

Under the study of Kernel Methods, this paper put forward two improved algorithm which called R-SVM & I-SVDD in order to cope with the imbalanced data sets in closed systems. R-SVM used K-means algorithm clustering space samples while I-SVDD improved the performance of original SVDD by imbalanced sample training. Experiment of two sets of system call data set shows that these two algorithms are more effectively and R-SVM has a lower complexity.
A Rescheduling Algorithm of Train-Group for Railway Emergencies and its Parallelization
Authors: Wang Zi Feng , Ruan Li , Xiao Li Min
Published: September 2013

In order to reduce the delays of train groups when suffering from railroad emergencies, we propose a rescheduling algorithm of train groups to reschedule trains, instead of previous just waiting. A heuristic algorithm is designed to search the proper path for the trains involved in the railroad emergencies. An evaluation criterion based on the extent of the disturbance towards the original timetable and limited time is designed to select the optimal path for each train. And a conflicts resolution strategy is designed to deal with the path and time conflicts among trains when rescheduling. In the end, due to the real-time needs of the railroad scheduling, we implement the parallel processing for the train-group rescheduling referring to the allocation of loads. Experimental results show that the rescheduling algorithm is efficient to reduce the delays of train groups and the parallel processing meets the real-time response of the train-group rescheduling well.
Improved Algorithm for Mining Maximum Frequent Patterns Based on FP-Tree
Authors: Liu Nai Li , Ma Lei
Published: September 2013

Mining association rule is an important matter in data mining, in which mining maximum frequent patterns is a key problem. Many of the previous algorithms mine maximum frequent patterns by producing candidate patterns firstly, then pruning. But the cost of producing candidate patterns is very high, especially when there exists long patterns. In this paper, the structure of a FP-tree is improved, we propose a fast algorithm based on FP-Tree for mining maximum frequent patterns, the algorithm does not produce maximum frequent candidate patterns and is more effectively than other improved algorithms. The new FP-Tree is a one-way tree and only retains pointers to point its father in each node, so at least one third of memory is saved. Experiment results show that the algorithm is efficient and saves memory space.
Airborne SAR - ATI - GMTI Influence Factor Analysis
Authors: Zhang Wei Dong , Song Nuan , Zhang Jian Feng
Published: September 2013

This paper focuses on the airborne SAR double channel data using ATI method into the Moving Target Indication process various factors affecting the discussion. Based on the actual flight appeared in the process of nonideal motion state and the engineering application of the factors such as detailed analysis, only understand the influence factors to determine the effective detection method, simplified data processing process, and improve the data processing efficiency.
Adaptive HOG-LBP Based Learning for Palm Tracking
Authors: Gao Jin Bing , Cao Qing Hua
Published: September 2013

Hand tracking is a challenging research direction in computer vision field. Although gesture tracking algorithm has been widely applied to the system of human-computer interaction, it is difficult to meet the robustness and the real-time requirements because of the hand lacks sufficiently rich texture information for discrimination. In this paper, we propose a new method named Adaptive HOG-LBP features to track the palm in the unfettered color images by fusing the HOG features and LBP features. The fused features could give more texture information of the edge features and sub-structure of the palm, and are less sensitive to light variations and background clusters. Macro structural features of the palm contain the maximum amount of information that can be used for discrimination, so we can use the fusion of HOG features and LBP features to process palm detection. The fusion features are inputted into linear SVM classifier learning. Experimental results show that in our own established palm dataset, performance has been improved significantly. Particularly worthy of note is that in our own established database, most of gesture pictures are of low quality, and the palm library contains a wealth of inter-plane and out-of-plane rotated pictures.
Utilize Improved Particle Swarm to Predict Traffic Flow
Authors: Liu Hong Ying
Published: September 2013

Presented an improved particle swarm optimization algorithm, introduced a crossover operation for the particle location, interfered the particles speed, made inert particles escape the local optimum points, enhanced PSO algorithm's ability to break away from local extreme point. Utilized improved algorithms to train the RBF neural network models, predict short-time traffic flow of a region intelligent traffic control. Simulation and test results showed that, the improved algorithm can effetely forecast short-time traffic flow of the regional intelligent transportation control, forecasting effects is better can be effectively applied to actual traffic control.
A Support State Marker Method for Detecting Discontinuities in Simulation of Dynamic Systems
Authors: Yuan Qiong , Ding Da Long , Dai Guang Ming , Hong Guo Hui
Published: September 2013

The design of discontinuity facilities is a critical factor in the success of many simulation efforts. This paper discusses the problems caused by detecting a discontinuity in terms of a change of sign in the value of a discontinuity function and describes an alternative which uses a change of the state marker value to suit the simulation of discontinuous systems in engineering applications. Subroutines which implement the method have been successfully built into integration package for stiff system with discontinuities.
Study on System for Establishing and Sustaining Plasma Used to Antenna
Authors: Xu Ling Fei , Kang Hai Jing
Published: September 2013

To study the model of plasma antenna, a system intended to establish and sustain plasma with RF power was described in this paper. This system was made as a modular design, a feature that facilitates changing of operating frequency, RF power. A univariate optimization algorithm was used to achieve impedance matching (coefficient< 5%) in the system, therefore some key experimental data were measured accurately. Experiments showed that there is a difference between establishing power and sustaining power of plasma, and indicated the function of the length of the plasma column vs. square root of RF power.
The Ziegler-Nichols PID Parameters Setting Method Based on the Ideal Relay Feedback Identification and its Improvements
Authors: Li Hong Yan
Published: September 2013

This paper analysized the Ziegler-Nichols setting method based on the ideal relay feedback identification. There are errors in the method. So, we consider to adopt hysteresis relay feedback to countact the error generated by the load disturbances and improve the measurement accuracy to eliminate errors. We proposed a PID parameter setting method stability margin method based on the hysteresis relay feedback identification. It can be seen from a plenty of simulation experiments that the control performances of the methods in set value tracking and interference eliminating are very good.
Power Transform Fault Diagnosis Based on the Adaptive Mutation Particle Swarm Optimization
Authors: Duan Zhi Mei , Cheng Jia Tang
Published: September 2013

In order to improve the accuracy of fault diagnosis of power transformer, in this paper, a method is proposed that optimize the weight of BP neural network by adaptive mutation particle swarm optimization (AMPSO). According to the characteristic of transformer fault, the optimized neural network is used to diagnose fault of the power transformer. Individual particles action is amended by this algorithm and local minima problems of the standard PSO and BP network are overcooked. The experimental results show that, the method can classify transformer faults, and effectively improve the fault recognition rate.
Research on Image Seam-Line Removing Based on Illumination Correction
Authors: Sun Wen Bang , Tang Hai Yan , Wang Hong Tao , Chang Yan
Published: September 2013

Nowadays, the hard correction is a familiar method for image seam-line removing. But the method needs accurate gray difference around the seam-line which is difficult to achieve occasionally. To overcome such drawbacks, a novel seam-line removing method was proposed in the paper. First, optimal texture matching blocks beside the seam-line are searched, and the average gray level of the two blocks can be obtained. Then, the average gray level of the two blocks is adjusted to estimate the gray level of the same target in different illumination environment. Finally, the illumination is corrected based on the average gray level to remove the seam-line. The theoretical analysis and experiment results show that the proposed method is more effectual then traditional methods.
No-Load Voltage Waveform Optimization of Integral Number Slots Large Hydro-Generator by Increase the Number of Damper Bars per Pole
Authors: Zhang Zhi Gang , Fan Zhen Nan
Published: September 2013

In order to analyze the influence of integral-number slots large hydro-generator no-load voltage waveform by the number of damper bars per pole increase, the 2D moving electromagnetic field-circuit coupling model is established, and the no-load voltage waveforms of a 600MW integral-number slots hydro-generator are calculated and analyzed. The results show that the harmonics are weakened and the waveforms of the no-load voltage are improved observably when reasonable increase the number of the damper bars per pole. The research is helpful for improving design standard and enhancing the operation reliability of the large hydro-generator and electric network.
An Improved Algorithm for Gesture Recognition
Authors: Chen Ping Ping , Tan Ding Ying , Xu Qian Qian , Liang Qing Zhong
Published: September 2013

In this paper, gesture recognition is being research which focuses on the key steps - gesture feature extraction. Also, designed and implemented a gesture feature extraction algorithm in a complex environment. The experimental test proved that the feature extraction algorithm has better real - time performance and higher recognition rate, which achieve the desired objectives.
Agricultural Optimization of Cold-Chain Logistics Distribution Routing Based on PSO
Authors: Yang Wei , Zhang Qian , Li Guo Dong
Published: September 2013

The definition of the cold chain logistics and the problem of the agricultural cold chain logistics are introduced. According to the characteristics of cold chain logistics, exploring the cold chain logistics distribution path optimization method. Based on the model of the agricultural products cold chain logistics distribution routing optimization, particle swarm optimization algorithm is constructed to solve the optimization problem. Taking an example, the results have been conducted finally to demonstrate the effectiveness of the algorithm for agricultural products cold chain logistics distribution routing optimization problem.
Simple and Robust RSSI Estimation Using M-Estimator
Authors: Zhu Quan Zheng , Yang Le , Li Wei
Published: September 2013

Accurate estimation of the received signal strength indicator (RSSI) from a set of sequentially measured ones is essential for a number of practical applications including link quality evaluation for sensor network routing, indoor wireless localization and more recently, handover in health monitoring systems. This paper develops a simple and robust RSSI estimation algorithm that can effectively mitigate the magnitude variation in the RSSI measurements due to the combined effects of fast fading and non-line-of-sight (NLOS) signal propagation. The new method is based on the robust M-estimator and we propose a simple approach that requires bisection search only to obtain the robust RSSI estimate. Computer simulations corroborate the validity of the theoretical developments and demonstrate the superior performance of the proposed technique over commonly adopted RSSI estimation methods including the simple moving average, the discrete Kalman filter and the exponential smoothing.
A Variable Step Size LMS Adaptive Filtering Algorithm and Simulations Based on Computational Verb Theory
Authors: Sun Li Hui , Zheng Bao Yu
Published: September 2013

Based on traditional LMS algorithm, variable step LMS algorithm and the analysis for improved algorithm, a new variable step adaptive algorithm based on computational verb theory is put forward. A kind of sectorial linear functional relationship is established between step parameters and the error. The simulation results show that the algorithm has the advantage of slow change which is closely to zero. And overcome the defects of some variable step size LMS algorithm in adaptive steady state value is too large.
A Distributed Algorithm for Skyline Query Based on Pre-Clustering
Authors: Ruan Pei Qi , Xu Chuan Wei , Huang Ji Ting , Qing Lun Ke , Ji Chang Qing
Published: September 2013

With the increasing availability and mobile application of LBS (Location-Based Services), large scale spatial objects remind challenge in cloud environments. In order to retrieve a few data items within a very large structured data set, skyline queries are utilized to optimize a single respectively multiple criteria. In this paper, we develop a new pre-clustering-based skyline queries technique to address the skewed distribution problem. We also present distributed approaches that construct grid index and process skyline queries. We evaluate the effectiveness of our algorithms with extensive experiments using real data sets. The results demonstrate the efficiency and scalability of our skyline queries algorithms based on pre-clustering.
Analysis of the Computer Processing System of Remote Sensing Satellite Images
Authors: Li Chu Yan , Shi Xian Wei , Li Xiao Jing , Li Hai Yu , Deng Lin
Published: September 2013

Remote sensing satellite images can intuitively reflect the information of the Earth's surface. The computer image processing system is of the advantages of high-precision and low-cost. It has a strong application value to study the computer processing system of remote sensing satellite image. The paper first discussed the design principles of the computer processing system and the implementation of its workflow, and then the application of the image processing system is briefly analyzed.
A Real-Time Face Recognition System for Android Smart Phone
Authors: Yang Gang , Luo Jia Ni
Published: September 2013

With the widely application of face recognition and the rapid development of Android OS, technique of face detection and recognition based on Android platform becomes increasingly attractive. This paper presents a real-time face recognition system on Android platform. The system realizes face detection by applying AdaBoost algorithm and face recognition by utilizing Eigenfaces. This paper also came up with some methods to speed up the face detection and recognition process and improve the correct rate of face recognition. Experimental results show that this system is able to realize real-time face detection and recognition on Android smart phones. In addition, all the work is completed on the smart phone without using any other terminals or tools.
Research on Combination Prognostic Method Based on LS-SVM
Authors: Li Wan Ling , Liu Yan Hong , Song Xiang Jun
Published: September 2013

Prognostic capability is a very important character for PHM distinguishing from other diagnosis systems, and fault prognostic method based on LS-SVM was researched on in this paper. In order to solve kernel function parameters, penalty coefficient and insensitivity loss coefficient of LS-SVM, improved QPSO was put forward to train LS-SVM in this paper. And then a certain power supply combination in beam control system of a certain control and guide radar was taken as an example to collect voltage signal and forecasted, and its precision was very perfect and could satisfy prognostic demand.
A New Fuzzing Technique Using Niche Genetic Algorithm
Authors: Zhu Xue Yong , Wu Zhi Yong
Published: September 2013

Current advanced Fuzzing technique can only implement vulnerability mining on a single vulnerable statement each time, and this paper proposes a new multi-dimension Fuzzing technique, which uses niche genetic algorithm to generate test cases and can concurrently approach double vulnerable targets with the minimum cost on the two vulnerable statements each time. For that purpose, a corresponding mathematical model and the minimum cost theorem are presented. The results of the experiment show that the efficiency of the new proposed Fuzzing technique is much better than current advanced Fuzzing techniques.
The Improved MFCC Speech Feature Extraction Method and its Application
Authors: Wang Xiao Yan
Published: September 2013

Based on traditional MFCC feature, this paper suggests a new kind of speech signal feature: CMFCC by introducing the method of nonlinear properties. Simulation results indicate that the method has a strong robust to noise and is able to enhance the recognition rate under low SNR.
Pedestrian Tracking Based on Improved Particle Filter under Complex Background
Authors: Fu Yu , Long Xiang
Published: September 2013

When tracking a moving human target,the traditional particle filter algorithm based on color characteristic can't get accurate results in situations like complicated background or frequent brightness change.Due to the problem, this paper put forward a particle filter algorithm based on combination of color characteristics and shape features of the target.Firstly, fusing the above-mentioned two features into the particle filter frame to calculate the particle weights and achieve the human tracking goal through image sequences . The experimental results show that the algorithm can improve the traditional tracking algorithms based on single color feature limitations.And greatly improves the accuracy and effectiveness of the human tracking under complex background
The FPGA Implementation of Pulse Wave Feature Extraction
Authors: Guan De Jun , Lin Li
Published: September 2013

Pulse wave signal is analyzed in this paper especially the type I smooth pulse is selected to be further discussed. CPU is designed by using FPGA chips. This CPU contains various IP cores components, and can carry out multiple calculations and driving peripheral function. This paper implements the extractions the feature points of the specific pulse waves by using the CPU. The result of the design is basically ideal and achieves the expected target.
An Adaptive Power Allocation for Spatial Multiplexing in MIMO Channels
Authors: Fan Sen Quan , Huang Yan Dong , Xu En Qing , Zhang Kai , Zhu Hai Zhou , Zhai Hui , Jiang Nan
Published: September 2013

This paper proposes an adaptive power allocation in multiple-input multiple-output (MIMO) spatial multiplexing slow fading channels, which improves spectral efficiency and reduces the complexity of systems at the same time. Under the constraint of the same signal-to-interference and noise ratio (SINR) at each receive antenna, an iteration formula of power allocation algorithm for transmit antennas is derived. Besides, for a certain channel gain matrix, the same SINR value at each receive antenna is proved to have the limit value. The simulations of the proposed adaptive power allocation show that the algorithm is effective and can reach the convergence fast.
Verification of Dependable Architecture Based on Prototype Verification System
Authors: Yuan Ling , Fan Ping
Published: September 2013

The electronic power system can be viewed as a system composed of a set of concurrently interacting subsystems to generate, transmit, and distribute electric power. The complex interaction among sub-systems makes the design of electronic power system complicated. Furthermore, in order to guarantee the safe generation and distribution of electronic power, the fault tolerant mechanisms are incorporated in the system design to satisfy high reliability requirements. As a result, the incorporation makes the design of such system more complicated. We propose a dependable electronic power system architecture, which can provide a generic framework to guide the development of electronic power system to ease the development complexity. In order to provide common idioms and patterns to the system designers, we formally model the electronic power system architecture by using the PVS formal language. Based on the PVS model of this system architecture, we formally verify the fault tolerant properties of the system architecture by using the PVS theorem prover, which can guarantee that the system architecture can satisfy high reliability requirements.
Design of MINIX FS for Multi-Process Micro-Kernel Embedded OS on ARM
Authors: Qu Bo , Chen Chang Wei
Published: September 2013

This paper describes the design and implementation of MINIX file system for an embedded OS in technical details, including an overview of MINIX FS, an introduction of the data structures for it, key techniques of implementing it, such as cache, foundational routines and interface functions. The file system is implemented on the multi-process micro-kernel embedded operating system on ARM, which is also designed by the author of this paper with GNU tool chain. The essential functions for a MINIX FS are accomplished, e.g. mount (), open (), close (), read (), write (), lseek (), unlink (), stat (), chdir (), mkdir (), rmdir (), execve (), etc. To show the effects of the file system, some related shell commands are also designed, e.g. cat, cp, echo, ls, pwd, etc. The file system is designed as simple as possible so that the code amount of it is only about 1,600 lines. With such a small scale, the system is suitable not only for embedded application system developments but also for embedded related curriculum teaching in colleges and universities.
Transient Analysis of Indirectly Grounded Power System
Authors: Yan Jun , Qian Luo Jiang , Mei Jing Cheng , Hou Xu , Fang Wei
Published: September 2013

At present the transient mechanism in lumped parameter for analyzing single-phase grounding fault in indirectly grounded power system exist deviations. This paper analyzes the amplitude-frequency and phase frequency characteristics of the impedance in line-mode network and zero-mode network through the distribution parameter model of transmission lines. This paper also analyzes the mechanism of LC resonant process. A high precision model of single-phase grounding fault in system with neutral point ungrounded is established using simulation software like ATP and Matlab, and the resonance mechanism of the single-phase grounding fault transient process in the proposed system with neutral indirectly grounding system simulated and identified.
Equivalence of Large Scale Wind Farm Based on Per-Unit System on RTDS
Authors: Wang Yi , Hu Yu Lan , Sun De Xing , Ding Tao , Qian Luo Jiang
Published: September 2013

The paper introduces per-unit system for single Doubly-fed induction generator (DFIG) and large scale wind farm (LSWF) equivalence, based on which their modeling, including main circuit, linkage equation, power equation and rotor motion equation, are built, and equivalence method of LSWF are present. The single DFIG wind farm system and LSWF are built respectively on Real time digital simulator (RTDS). Comparing simulating results of single DFIG with those of LSWF, conclusion shows per-unit value system is correct, equivalent method is feasible.
A High Speed Open-Loop Track/Hold Circuit in CMOS Process
Authors: Zhang Zheng Ping , Wang Yong Lu , Liu Ming
Published: September 2013

A high speed open-loop track/hold circuit in 0.18um CMOS process is presented. Open-loop and differential architecture are adopted to obtain high bandwidth and high speed;time-interleaved structure is used to reach a high sampling rate;source negative feedback and offset compensation are used to improve the linearity of the circuit.Simulation results show that with 396.875MHz input, 1.6GSPS sampling rate, driving the pre-amplifier of ADC, the thack/hold circuits SFDR(spurious-free dynamic range) is 75.8dB,satisfying the demand of 12 bits ADC.The circuit features high sampling rate,wide bandwidth,high SFDR and universal.
Manufacture of Nuzzles Integrated with Saddle Pad
Authors: Tian Li Zhong
Published: September 2013

Nuzzles on fatigue or high pressure container are all combined with saddle pad, the joint between the shell and the nozzle is welding neck, which is better than any other kind joint, but the interface of nozzle and the shell is a 3D face, which is impossible to be formed by ordinary machine tools. In this paper, established mathematics model, analyzed the relation of mathematics, compiled NC program, and realized the numerical controlled processing on machining center, the error of process are also considered.
Research on Structure Analysis of an Flexible Flywheel Based on FEA
Authors: Zhang Yan Yan , He Chun Xia , Zhu Ming Ming
Published: September 2013

In this paper,Flexible flywheel EP6s several working conditions had be Simulation, Under a certain Factor of safety conditions. The reasonable Structure design had be found, through Compared with the results of fatigue test. Therefore, the Objective had be Achieved of improve design, reduce the times of experiment and shorten the cycle of research.
A Novel Hybrid Threshold Proxy Signature Scheme
Authors: Yang Xin , Zhang Long , Li Chun Ming , Li Guo Qiang
Published: September 2013

In this paper, we propose a new type of threshold proxy signature scheme: hybrid threshold proxy signature (HTPS), in which a signature is cooperatively generated by the partial original signers themselves and the proxy signers on behalf of their own original signer in threshold proxy way. We formalize the notion of security for hybrid threshold proxy signature scheme and prove our schemes security, such as, distinguishability, verifiability, strong unforgeability, strong nonrepudiation, etc.
Intelligent Setting Method of Laminar Cooling Process for Hot Rolled Strip
Authors: Hou Jing , Pian Jin Xiang , Sun Yan Ling , Xu Ke
Published: September 2013

In order to improve the control accuracy of the coiling temperature of strip in the laminar cooling process when working condition is varying, an intelligent setting method of the cooling water volume is researched in this paper. The strip coiling temperature mechanism model is built firstly. Secondly, the key model parameters are identified with case-based reasoning (CBR) technology to improve the model accuracy. Lastly, the cooling water volume setting method based the model is proposed where disturbance input method is applied. The simulation result showed that the proposed method can improve the strip coiling temperature accuracy when the operation condition is changing. The strip coiling temperature accuracy can be improved due to the CBR technology which can adjust the key model parameters according to the varying operation condition. So, the setting values based the improved model are adjusted with the changing working condition, with self-adaptive ability.
Mechanism for Security Enhancement in Mobile Application Installation
Authors: Zhang Peng , Sun Han Lin , Yan Zheng
Published: September 2013

Mobile operating systems (e.g., iOS, Android, Windows Mobile, etc) are becoming powerful platforms on which various applications can be installed and run. Each mobile OS offers application store (e.g., Apple App Store, Android Play, etc) for developers to easily publish applications and earn profits. However, existing mobile platforms provide little means for mobile users to evaluate risks on allowing certain security permissions when installing mobile applications. Since mobile users may not be able to justify the risks on allowing certain permissions required by an application, mobile users may install malware with extra permissions, which leads to security risk for mobile users, e.g., private information leaked, etc. In this paper, we present process and visual User Interface for mobile users to understand and justify the risks on permissions required by mobile applications during installation. We also present two algorithms for calculating the risks.
Gabor-LBP Features and Combined Classifiers for Music Genre Classification
Authors: Wu Hai Qian , Zhang Ming
Published: September 2013

In this paper, we propose the combination of two visual features with the Gabor filters and LBP for music genre classification. In addition, we use combined classifiers training and testing data to reach a final decision. The experiment shows that we not only reduce the amount of time extracting features, but also achieve a satisfactory result.
The Remote Monitoring Platform Based on GSM/WCDMA
Authors: Liu Yang , Lou Guo Huan , Niu Yue Jiao
Published: September 2013

Aimming at the demand of China's remote medical monitoring, a scheme of a human health remote monitoring system based on ZigBee technology and ARM chip is designed. In this system, the signal from human is transmitted to the mobile terminal equipment --PDA through the ZigBee wireless network. The physiological signal detected is passed to the remote monitoring platform using GSM/WCDMA digital mobile communication system, which realizes the remote medical monitoring for patients at home. The experiment results show that the system has a stable performance, good mobility and can achieve real-time monitoring to the patient's health status.
Applied Research of Solar Water Heater Integrated with Modern Architecture
Authors: Zhang Bo Yang , Xie Ya Hui , Sun Shun Xiang
Published: September 2013

This paper describes the application forms of building integrated with solar energy. We explain a solar water heating system; its solar collectors and water storage tanks are placed together. We discuss another solar water heating system, its solar collectors are placed together but its water storage tanks are placed in every resident's home. This paper also introduces the wall-hung SWH and the application of solar refrigeration and solar heating. At last we analyze the problems of the development of solar water heater integrated with modern architecture.
Research on Modeling and Simulation of Complex Adaptive Systems Based on Multi-Agent
Authors: Liao Shan Liang , Lai Jia Zhe
Published: September 2013

With the rapid development of complex adaptive systems, traditional modeling and simulation methods have been unable to meet the need of accurate modeling of complex adaptive systems. Therefore, we need a way to accurately describe the characteristics of complex adaptive systems modeling and simulation. Multi-Agent modeling and simulation methods focus on the study of the interaction between multiple subjects. It is an effective way to study complex adaptive system. This paper analyzes the multi-agent modeling process, sets up a rumor spreading model of a small social network through multi-agent modeling and simulation methods,. The simulation results verify the correctness and accuracy of the model.
Research on Warfare Simulation System of EW Aircraft Based on HLA
Authors: Hao Yan Zhong , Zhang Fu Chun , Hui Wang , Wang Shu Qiang , Lu Yong Ji
Published: September 2013

The current simulation research on military tactics operation of EW Aircraft mainly takes meatures of function simulation based on radar equation and jam equation, model on scout receiver and jam transmitter, which not only can not reach the precious and resembility of signal simulation. but it also construct system-system Simulation system. Aiming at such problems, adopting signal simulation, considering current development of simulation technique and the request of air battle to EW, the battle simulation system of EW Aircraft is presented based on high level architecture. And the key techniques of composition and development process of federation are studied. Simulation is carried out whose result verifies the efficiency. The successful exploitation of the system will supply the analyses evaluation of the whole EW Aircraft warfare simulation system efficiency with performance and basis, which has active sense for the tactics use of EW Aircraft.
Supervisory Control of Silicon Steel Plant Dust Removal System Based on Configuration Technology
Authors: Yang Li Jun
Published: September 2013

This paper introduces the real-time monitoring provided by the function of PLC control system based on the configuration control technology in silicon steel plant. Visual real-time monitoring of silicon steel flue gas dust removal system, the main parameters includes: working condition of the two temperature sensor in flue pipe, air conditioning butterfly valve, bag type dust trap system, high pressure fan, dust conveying system, dust unloading system and cleaning system, etc. Moreover, monitoring and give an alarm in case the failure of dust removal system appears appears in the course of their work. This paper also introduces the hardware components and software components of the visual real-time monitoring of silicon steel flue gas dust removal system, and their applications. And discuss how to use configuration technology develop and design real-time monitoring system.
Design of Polygon Prism Optical Lens for LED Street Lamps
Authors: Li Jian , Wang Kun
Published: September 2013

High-power light emitting diode (LED) develops greatly owing to its high energy efficiency, high color rendering and long life. However, it is important to design a secondary optical lens for the LED lamps to obtain a good output efficiency and light distribution pattern. The purpose of the secondary optical design for light emitting diode (LED) illumination is to rearrange the luminous flux output of LED and then achieve the desired luminous intensity distribution. In this paper, a polygon prism lens for street lamps was designed and the desired illumination was achieved. The design procedure of the polygon prism lens is presented. The simulation of the street lamps is implemented using Tracepro 7.0. The results show that the polygon prism lens can distribute the luminous flux accurately and reasonably. The luminous flux can be saved as much as possible and a rectangular distribution of luminous flux is attained.
On the Case-Assigning Host
Authors: Yang Yong
Published: September 2013

Case theory is a vital means for the information processing of the natural language. Case-assignment depends not only on the tensed INFL, Vt and Prep, but also on the Case-assigning host, which refers to the elements that helps the argument successfully get the Case to satisfy the Case Filter. The Case-assigning host does exist objectively and possesses the cross-linguistic features. ba, jiang, and the expletive, light verb, empty preposition, and empty verb etc are all Case-assigning hosts, which are of importance in that they, as the faithful defensor or the patron saint of the nominal phrases, will come to help when needed and they can make the sentences in danger become safe and acceptable.
Inventory Model for the Batch Processing of Defective Products in Manufacturing and Remanufacturing
Authors: Lin Chi Chung , Su Chwen Tzeng
Published: September 2013

This study focuses on simple stationary demand satisfied by the remanufacturing of products and the manufacture of new products. Further, we presented how to use batch processing to reduce defective products in the remanufacturing and the manufacturing inventory. In this paper, we obtain the economic order quantity of new products and the optimal inventory level of products that have been remanufactured as well as the appropriate return rate for the economic order quantity and the economic remanufacturing quantity. We analyze an inventory system with unit product returns and demands wherein manufacturing is the cheaper alternative to remanufacturing. However, because demand exceeds the rate of return of defective products, remanufacturing of products is also required.