bluuebunny/crossref_metadata_2025 huggingface dataset:
Some Research on the Fusion of Virtual Scene and Video Image
Authors: Feng Yan
Published: June 2011

Fusing three-dimensional virtual scene and video image into a perfect whole, is a key technology in augmented reality, which includes a number of problems need to be resolved. This paper makes some researches on the occlusion and consistent illumination between virtual and real objects. About occlusion, an approach for realizing multilayer occlusion is presented. A special scene graph tree is designed comprised of some special nodes, namely EMO nodes. According to the location of real moving object, different EMO node will be activated in real-time, consequently realizing the multilayer occlusion. About consistent illumination, two spheres with Lambert surface are introduced in the real scene. Through image analysis and analytical geometry of three dimensions, the illumination parameters of the real scene are estimated automatically. These parameters describe a point light source and ambient light. Using the estimated illumination parameters, the synthetic scene is relighted through inserting proper virtual light sources in the scene graph tree. This work explores a post-illumination-processing and image-based approach to rapidly improve illumination consistency in augmented reality.
A Clustering Method Based on Attribute Reduction and SOM
Authors: Zheng Yong Qian , Yu Sheng Nan , Jiang Pei Min
Published: June 2011

In Insurance industry, data redundancy is an extremely common problem in the population statistics. As a result a satisfactory clustering quality can rarely be obtained with the traditional clustering method. To handle this kind of problems a clustering model based on attributes reduction and SOM neural network was proposed. Using attributes reduction rules redundant information can be easily distinguished and essential attributes effectively located. And therefore the clustering quality can also be improved evidently. Experiments conducted in the H life insurance company show the method can cope with the problems mentioned above effectively.
An Effective Self-Adapting Localization Algorithm in Wireless Sensor Networks
Authors: Li Fu Fang , Luo Fei , Wang Jian Xiong , Qi De Yu , Xie Guo Wen
Published: June 2011

Research on nodes localization in Wireless Sensor Networks (WSN) has been a hot spot in recent years. How to improve the reliability and accuracy of nodes localization is a hard and challenging problem in the area, and is far to be solved satisfactorily. This paper proposes an effective self-adapting localization algorithm in WSN based on optimized RSSI and DV-Distance algorithm. In order to enhance the precision of localization, the presented algorithm introduces an effective method to reduce the error of RSSI-measured distance. The algorithm also uses Small-World-Network theory to help select beacon nodes from localized normal nodes, so as to raise the performance and efficiency. Experimental results show that the algorithm has effectively improved the accuracy, self adaptivity, performance and efficiency of nodes localization in WSN.
Research on Business Intelligence-Based Supply Chain Management
Authors: Yang Jiao Ping , Zhao Hong Xia
Published: June 2011

Related theories about business intelligence and supply chain management (SCM) are introduced firstly, then the critical technologies about business intelligence-based supply chain management (BISCM) are discussed, and at the same time, the integrated framework of BISCM is proposed. It is believed that the integration of SCM with BI can resolve the problem of “rich data but poor information”, and enhance the competitive advantage for enterprises involved in the SCM so as to beat all other competitors in the fierce competition.
Design of a Reconfigurable Coprocessor for Double Precision Floating Point Matrix Algorithms
Authors: Li Sheng Long , Li Zhao Lin , Zheng Qing Wei
Published: June 2011

Double precision floating point matrix operations are wildly used in a variety of engineering and scientific computing applications. However, it’s inefficient to achieve these operations using software approaches on general purpose processors. In order to reduce the processing time and satisfy the real-time demand, a reconfigurable coprocessor for double precision floating point matrix algorithms is proposed in this paper. The coprocessor is embedded in a Multi-Processor System on Chip (MPSoC), cooperates with an ARM core and a DSP core for high-performance control and calculation. One algorithm in GPS applications is taken for example to illustrate the efficiency of the coprocessor proposed in this paper. The experiment result shows that the coprocessor can achieve speedup a factor of 50 for the quaternion algorithm of attitude solution in inertial navigation application compare with software execution time of a TI C6713 DSP. The coprocessor is implemented in SMIC 0.13μm CMOS technology, the synthesis time delay is 9.75ns, and the power consumption is 63.69 mW when it works at 100MHz.
Numerical Analysis of a New-Style Ultrasonic Linear Array
Authors: Wang Yong , Li Quan Lu
Published: June 2011

In order to reduce the field of the acoustic radiation and improve the efficiency of energy using, a new-style ultrasonic linear array is present, which base on the special structural of the acoustic field produced by the cylindrical acoustic lens. The new-style linear array is composed of numbers of cylindrical acoustic lens, each lens act as an element distributed in a line along the width direction. Define x-direction is the direction of wave propagate. We have studied the acoustic field theoretically and have analyzed it numerically. Found that acoustic field have a better directivity in y-direction and the radiation field is much smaller than the traditional linear array, at the same time the focus ability is appear in the Z-direction if we control the number of element and the distance of center-to-center spacing of each element. This paper is helpful to the change and development of traditional liner array.
Numerical Assessment of Multi-Splitter Mufflers Using Neural Networks, the Boundary Element Method, and the Genetic Algorithm
Authors: Chiu Min Chie
Published: June 2011

Recently, research on new mufflers lined with sound-absorbing material has been addressed in the industrial field. On the basis of the transfer matrix method and the stiffness matrix method, most researchers have explored noise reduction effects. Yet, the maximum noise reduction of a compact silencer equipped with sound-absorbing splitters within a constrained space, which often occurs in modern industries, has been ignored. Therefore, the optimum design of mufflers becomes essential. In this paper, a one-chamber muffler equipped with multiple sound-absorbing panels within a fixed length is assessed. In order to facilitate the assessment of optimal mufflers having multiple sound-absorbing splitters, an approximated simplified objective function (OBJ) is established in advance by linking the boundary element model (BEM) with a polynomial neural network fitted with a series of real data, input design data (muffler dimensions) and output data obtained by BEM simulation. To assess the optimal mufflers, a genetic algorithm (GA) is applied. Before the GA operation can be carried out, the accuracy of the mathematical models must be checked using the experimental data. On the basis of the fixed total thickness of the splitters, the open area of the flowing channel can be assured. Therefore, not only the influence of the backpressure can be minimized, but also the cost of the sound absorbing splitters can be economically saved. Optimal results reveal that the maximum value of the sound transmission loss (STL) can be improved at the targeted frequencies. Consequently, the optimum algorithm proposed in this study provides an efficient way to find a better silencer for industry.
Study of Relative Entropy Coefficients for Image Segmentation Based on Particle Swarm Optimization
Authors: Huang You Rui , Qu Li Guo
Published: June 2011

Image segmentation is the basis of image analysis, and because of its simplicity, rapidity and stability, the threshold method is the important one, applying in the image processing and recognition widely. In this paper, a new method is proposed, which based on relative entropy coefficients between random variables. It maximizes the target and background, which is the relative entropy coefficient in probability distribution, and gets the optimal threshold of image segmentation, and then optimizes it using particle swarm algorithm which is an evolutionary computation algorithm. The result of relative entropy coefficients for image segmentation proves its feasibility and better effect.
Verification of Time Constraints Consistency on Web Service Composition Based on ETPN
Authors: Chen Ting Wei , Geng Shuo Yang
Published: June 2011

The work of Web Service verification mainly concentrated in testing service functional correctness, the non-functioning attribute description and verification is relatively rare. For the lack of non-functioning attribute service verification, the available time phrase of Web Service is added into the OWL-S model to describe time-attribute, establish the mapping rules and transformation method from OWL-S process model to ETPN, and the available time relation matrix is proposed to verify time constraints consistency based on the ETPN theory, it can help to remove the plan of service composition has time conflict and avoid the waste of Web Service resource.
A Fast Algorithm for Chinese Text Categorization Based on Key Tree
Authors: Liu Xin , Liu Ren Ren , He Wen Jing
Published: June 2011

To solving Chinese text categorization, a fast algorithm is proposed. The basic idea of the algorithm is: first constructs a weighted value of keywords dictionary which is constructed in key tree, then using the Hash function and the principle of giving priority for long term matching to mapping the strings in documentations to the dictionary. After that, calculate the sum of weights of the keywords which has been matched successfully. Finally take the maximum for the result of the classification. The algorithm can avoid the difficulty of Chinese word segmentation and its influence on accuracy of result. Theoretical analysis and experimental results indicate that the accuracy and the time efficiency of the algorithm is higher, whose comprehensive performance reaches to the level of current major technology.
A Time-Series Analysis of Land Surface Temperature in Macao, China
Authors: Zhang Jin Qu
Published: June 2011

Macao city located in the Pearl River delta, China, was chosen to study the effect of urban heat island and its time-series analysis of land surface temperature (LST) in spatial expansion. The LST was analyzed by a temperature separation method based on statistical results. In the case of urban area, it was composed by three parts: downtown and old built-up areas with high-density buildings and dwellings, new built-up areas and developing site. The trend of city development was studied that the developing site would become to be new built-up areas and the formerly new built-up areas would become to be the downtown and old built-up areas. These three parts stand for different stages of a city.
Reduction of the Influential Factors of Railway Passenger Demand Based on Rough Set
Authors: Ma Ning , Xu Li Na , Xie Fei Fei , Li Xue Mei
Published: June 2011

In the background of the development of global low-carbon economy, to blossom the low-carbon transport is necessary for every country. Railway is recognized as a green transport with low-power consumption, less pollution, which is one of the most important infrastructures developed actively around the world. With the approaching era of high-speed railway, railway passenger demand has been paid much more attention. As passengers with different trip purposes are influenced by different factors when choosing means of transport, this paper will classify passengers by trip purposes and find the main influential factors according to different types of passengers with the aid of rough set. Then put forward initiatives aimed at improving passenger satisfaction, and enhance the positive attitude of passengers towards rail transportation.
A Method of Multi-Attribute Group Decision-Making Based on LWD and LOWA Operator
Authors: Zhang Shi Jun , Cai Yuan
Published: June 2011

A new method was proposed to solve multi-attribute group decision-making problems with natural language assessment information. In this method, firstly the linguistic assessment information given by each decision maker was aggregated by LWD and LOWA operators in order to obtain the group assessment information. Then, the preferred scheme is obtained from the result of aggregation. Finally, a simulation example was given to illustrate the validity of this approach.
Global Exponential Stability Analysis for Cohen-Grossberg Neural Networks with Non-Lipschitz Neuron Activations
Authors: Xu Hong Wen
Published: June 2011

In this paper，a novel class of Cohen-Grossberg neural networks with inverse Hlder neuron activation functions is presented. By employing the Brouwer degree properties and linear matrix inequality techniques, the existence and uniqueness of equilibrium point for such Cohen-Grossberg neural networks are investigated. By constructing appropriate Lyapunov functions and using Lyapunov diagonally stable matrices, a sufficient condition which is used to checked the global exponential stability of a unique equilibrium point is established. A numerical example is given to demonstrate the effectiveness of the theoretical results.
A Characterization of Admissible Linear Estimator of Regression Coefficients in Variance Component Models
Authors: Wang Shi Qing , Li Ming Qi
Published: June 2011

In the paper, for the variance component models we take the ordinary quadratic risk function, and consider the admissibility of the linear estimators of linear combinations of regression coefficients in the class of linear homogeneous and inhomogeneous estimators. We get the necessary and sufficient conditions for the linear estimators of linear combinations of regression coefficients to be admissible.
Research on Movement and Deformation Rules of Rock Strata between Coal Seams in Caving Method Upward Mining of Left-Over Coal with Numerical Simulation Method
Authors: Zhong Cong Ming , Feng Guo Rui , Liu Hong Fu , Zheng Jing
Published: June 2011

In this paper, the process of upward mining in Baijiazhuang mine is analyzed by the simulation function in FLAC-3D software. Basing on the actual drilling column of the upward mining face in Baijiazhuang mine, the variation of rock pressure before and after upward mining is calculated and analyzed by means of numerical simulation model, and then the deformation and movement of the rock strata between coal seams before and after mining the upper and lower coal are further studied. Finally, the simulation results of studying the rock layer’s mechanical relationship and deformation condition is the same with actual mining.
A New Application of Fuzzy Control - Fuzzy Control System of Cutting Motor in Hi-Frequency Straight Welded Tube Process
Authors: Gao Ning , Peng Li , Wu Lin Hai , Jiang Jun Jie
Published: June 2011

Because of the nonlinear of the cutting motor which is used in hi-frequency straight welded tube process, this paper designs a fuzzy control method used in the speed control system of the cutting motor. Furthermore, simulation test shows the control system that uses the fuzzy controller has better performances than that of the traditional PID control, which improve the dynamic performance, disturbance restraint performance and the steady precision.
Research on a Multi-Objective Genetic Algorithm for Rational Agent Learning Model
Authors: Li Ming , Xiao Zhen Hong , Xie Zan Fu , Mo Xiao Yun
Published: June 2011

As a software component which is capable of learning in an autonomous way, software agent should have the capability of learning in a dynamic environment. Genetic Algorithm has a wide perspective in the machine learning because of its unique characteristic (e.g. dynamic adaptability, self-organization, global convergence and robustness). But when applying GA to agent’s dynamic learning model, it encounters a series of problem. In this paper, a Modifided Multi-Objective Genetic Algorithm(MMOGA) will be introduced to solve these problems. Finally, an Agent’s Dynamic learning model based on a MMOGA which has the flexible dynamic learning capability, better global convergence and performance, will be introduced.
OOSPN-Based Modeling and Simulation of Tridimensional Rail Net Transmission System in Container Terminal
Authors: Pan Cheng Xian , Peng Rui , Wang Jun Li , Lu Qing
Published: June 2011

Object-Oriented Stochastic Petri Net (OOSPN) is utilized concerning the complexity of container terminal tridimensional rail transmission system network. It simplifies the structure and modeling with object-oriented and hierarchy idea, while the efficiency of each state is detected based on Stochastic Petri Net performance analysis. Thereby, it finds the system bottleneck which also provides reference for the improvement of the program. The efficiency indicators are obtained by analysis and construction of container terminal transmission system as well.
Three Order Bezier Surface and Racing Car Conception Model Design Using Java 3D
Authors: Gao Xin Rui , Zhang Yong Chuan
Published: June 2011

By using Bezier surface matrix formula and Bezier surface control points and through merging different Bezier surfaces, the car model was produced. By using texture and transparence and other functions of Java 3D, the tyres and the wind screen of the car and the exhibition platform were designed. By defining the moving and rotation actions, the motions of the car model were designed. All functions were implemented by Java and Java 3D.
An Approach to Expert Finding Based on Multi-Granularity Two-Tuple Linguistic Information
Authors: Li Ming
Published: June 2011

Since organizational tacit knowledge resides in the owner’s brain, finding relevant experts in the specific fields is crucial to utilize this type of knowledge. In this paper, an approach to expert finding is proposed to assist the user to find the required experts. The method adopts the multi-granularity two-tuple linguistic information to construct the expert profile, that is, to model expert’s expertise. The user query the expert based on the fuzzy linguistic information. Then, the relevant experts are ranked according to the matching degree between the expert profile and the query. Finally, a numerical example is given to illustrate the effectiveness of the proposed approach.
STRIDE – Based Risk Assessment for Web Application
Authors: Guan Hui , Chen Wei Ru , Li Han , Wang Jun
Published: June 2011

This paper proposes a lightweight model as an alternative methodology of risk assessment for web applications. The assessment model presented in this paper takes into account not only the threats to the web applications but also the environments where they are hosted. STRIDE model is used as a measure to identify the threats by analyzing dataflow, data store and process presented in dataflow diagram. Moreover, DREAD is used to calculate the security risk of each threat, which is extended with the consideration of the assets’ criticalities and their application environments.
Image-Based Simulation for Snowy Scenes
Authors: Yin Hai Ming , Wei Yuan Wang , Li Yong Gang
Published: June 2011

In this paper, we propose an image-based approach for the simulation of outdoor snowy scenes. Using a snowy image as the reference, we extract the snow covered regions from the reference through a snow model and achieve the snow color information. Then the target image will get the snow color information and take on snowy appearance through a color transfer procedure. To solve the problem of different data distributions between the reference and the target in the procedure, power transform and modulus transform are employed to adjust the image data according to the snow information derived from the reference image data. The experimental results indicate this approach can simulate the snowy scenes with high quality while greatly reducing the computational complexity of simulation compared with the traditional algorithms.
A Primary Study on the Relationship between Internet Involvement and Adolescents’ Mental Health
Authors: Chen Meng , Che Hong Sheng , Zhang Guo Hua , Wang Lina
Published: June 2011

This study aimed to explore the influence of intention of Internet use, gender and grade on Internet use, adolescents’ mental health and the relationship between them. 323 middle school students completed the full survey. Results: (a) there was a significant negative correlation between Internet involvement and adolescents’ mental health; (b) for adolescents with different intentions of Internet use and of different genders, Internet involvement, mental health and the relationship between them were different. Conclusions: (a) Internet involvement had negative influence on adolescents’ mental health; (b) intention of Internet use and gender could influence Internet involve- ment, adolescents’ mental health and the relationship between them, while grade had no influence.
A Scheme of H.264 HD Encoding/Transcoding System Based on ASIC
Authors: Zheng Ming Kui , Su Kai Xiong , Yang Xiu Zhi
Published: June 2011

This paper proposes a scheme of H.264 high-definition encoder/transcoder . The system is based on ASIC. Application-specific high-definition encoding/transcoding chip, software control module, HDMI interface, analog video/audio input interface and ASI input/output interface ,etc. are discussed in detail in this paper. The system also provides the Ethernet interface, which is used for real-time monitoring of coding/transcoding system . The proposed scheme with the property of good real-time and low cost accord with the need of high-definition digital TV front-end system.
The Study of Moving Images Track Recording System which Based on Mean Shift Algorithm
Authors: Wang Ke Fei , Ke Hong Chang
Published: June 2011

Intelligent tracking system based on video recording problem is a key technique in computer vision and research focus, a lot of engineering applications and video tracking technology has a close relationship. This system is a development platform for the ADSP-BF533 core, together with the VisualDSP + + integrated development and debugging environment, implementation, and optimization MeanShift tracking algorithm to achieve real-time tracking of moving target shooting can be used in sporting events, intelligent monitoring. Test data show that the system can control the PTZ camera tracking rigid and non rigid shooting targeting.
Aircraft Cockpit Distributed Simulation Based on Embedded Ethernet and PoE
Authors: Zhang Bing Qiang , Zhang Li Min , Liu Kai , Ma Yu
Published: June 2011

Considering the complexity and decentralization of data acquisition and power supply for cockpit devices of flight simulator, this paper designs and realizes a distributed simulation system for aircraft cockpit based on embedded Ethernet and Power over Ethernet technology. A simulation scheme with many nodes of data acquisition and instrument control is adopted. Based on PoE technology, the power subsystem can supply DC power on the same cable that carries data. As a result, this greatly simplifies power wiring installation in the narrow cockpit while improving reliability. The design of aircraft cockpit simulation has been successfully used in certain type flight simulator. Through the actual system testing, the design has excellences of higher stability, expansibility and security.
Bionic Autonomous Learning Mechanism Study Based on Automaton and Applied on Robot
Authors: Cai Jian Xian , Ma Hong Rui , Wang Quan Sheng
Published: June 2011

Under the learning automaton frame a bionic self-learning automaton which has autonomous learning mechanism is constructed based on conditioned reflex theory. The bionic self-learning automaton is a 5-tupe and mainly contains: 1) inner set, mainly are perception state set and operant set; 2) oriented core, guide the direction of autonomous learning; 3) learning core, the primitives of learning unit; 4) autonomous learning unit, implement learning computation; 5) operant entropy, measuring the self-organized degree of bionic self-learning automaton. Theory analysis is made for the designed bionic self-learning automaton in the thesis, which theoretically proves the convergence of autonomous learning mechanism in bionic self-learning automaton, namely the operant entropy will converge to minimum with the learning process. And then the designed bionic self-learning automaton which used as the mathematical abstraction and formal tool of robot and used to describe the self-learning behavior of robot is applied to motion control of two-wheeled self-balanced robot. The state sets of bionic self-learning automaton is described by tilt angle and tilt angle rate of robot, and the operant sets is described by control signal of left motor and right motor. Robot doesn’t have t motion balanced skill in initial state, and with the learning proceeding the operant entropy will gradually decrease. After about twenty-five rounds training, the operant entropy gradually tends to minimum. So robot gradually learned the motion balanced skill.
Tacit Extraction for Keyword in Chinese
Authors: Yang Chang , Li Xing Hua , Zhou Xue Guang
Published: June 2011

The present Extraction for Keyword in Chinese (EKC for short) is merely directed against explicit keywords or prototype keywords, and has not take into account those tacit keywords distorted by network hackers with the method of active jamming in Chinese. For this purpose, with the help of M. Polanyi’s theory of tacit knowledge, this paper presents a new approach for the tacit EKC (TEKC for short), which can improve the ratio of precision and recall for information filtering. Based on the TEKC, the paper presents a set of classifications of how to distort the explicit keywords and the solutions to calculate the tacit distortion of those tacit keywords. Furthermore, 4 algorithms were designed, including in picture tacit, textspeak tacit, fake paleography tacit and character tacit, which can extract the tacit keywords in text but traditional EKC could not. Owing to the increased number of extracted keywords, the recall of keywords raised and the precision of information filtering improved. Experiments show that the classification of tacit keywords in Chinese, the calculation of tacit distortion and the algorithms to tacit extract the keywords in Chinese, etc can effectively improve the performance of EKC and raise the recall of web filtering algorithms based on TEKC.
Key Elemental Function Identification Based on Function-Failure Knowledge
Authors: Wang Mei Qing , Wang Bin
Published: June 2011

Functional modeling is the key step in product design process. To improve the quality of functional modeling, an identification method of key elemental function based on function-failure knowledge was proposed. A function-failure knowledge model for mechanical product was built, which consists of function-failure mode, relationships among failure modes, and failure risk information. By means of the function-failure repository, the approach to calculate risk number (RN) of the elemental function was presented, in which the relationships among failure modes were considered. Then the key elemental functions were identified by the RN value. Finally, a case was studied to illustrate the proposed method.
A Novel Heuristic Algorithm for Spatial Resource Constrained Project Scheduling Problem
Authors: Yu Xiao Guang , Zhan De Chen , Nie Lan Shun
Published: June 2011

Spatial resources such as slipway and erection platform are key and bottleneck resources for large equipment manufacturing enterprises, and restrict output and efficiency of enterprises. Spatial resource has several distinct features, such asspatiality,divisibility,adjacency,exclusivityandgroupcharacteristic. These features introduce great complexities into spatial Resource Constrained Project Scheduling Problem (sRCPSP), which lead sRCPSP very hard to model and solve. So a mathematical model for sRCPSP considered all features and other renewable resource constrains comprehensively has been established. Then an Activity Type Priority based Serial Scheduling heuristic method and a Resource-Time Block based Spatial Resource Allocation Method have been proposed to solve the model. Results of numerical experiments proved that those two algorithms are correct and effective.
The Optimality Characters of Vector-Valued Binary Small-Wave Wraps with a Constant Dilation Factor
Authors: Guo Ming Pu
Published: June 2011

Frame theory has been the focus of active research for twenty years, both in theory and applications. In this work, the notion of orthogonal vector-valued binary small-wave wraps, which is a generalization of uni-wavelet packets, is introduced. A procedure for constructing them is presented. Their orthogonality traits are investigated by using time-frequency analysis method, matrix theory and finite group theory. Orthogonality formulas concerning these binary small-wave wraps are established. Orthonormal wavelet packet bases are obtained. The pyramid decomposition scheme is obtained based on such a GMS and a sufficient condition for its existence is provided.
Fast Intra Prediction Algorithm for H.264 High Profile Based on Image Texture
Authors: Xue Li , Yang Xiu Zhi , Zheng Ming Kui
Published: June 2011

H.264/AVC standard uses rate-distortion optimization framework with heavy calculation and full search algorithm to select the best mode of each macroblock. Besides, 8×8 luma block prediction is added to high profile, which makes the search algorithm process more complicated. In order to reduce the amount of calculation, a filter method based on image texture feature and image complexity is adopted in this paper. Experiment results show that the new algorithm achieves an average saving of 43%-57% in encoding time ,with negligible effect on bitrate and PSNR.
Experimental Study of Dynamic Single-Source Shortest Path Algorithm
Authors: Xiao Qian Cai , Li Ming Qi , Guo Wen Qiang
Published: June 2011

In this paper, software Inet 3.0 is applied to generate topology, which randomly generates dynamic topology nodes. Based on dynamic shortest path algorithms put forward by P.Narvaez, Xiaobin et al, we analyzed the time efficiency of dynamic and static shortest path algorithms, the different time efficiency inner dynamic shortest path algorithms, and the relationship of time efficiency between topology and dynamic shortest path algorithms. The result shows that Xiaobin algorithm is statistically better than Narvaez algorithm about 20-30 percent. Dynamic algorithms are not always better than static algorithms considering the amount of changed topology. Dynamic and static algorithms are roughly same when the amount of changed topology holds 10 percent. Dynamic algorithms perform better when less than 10 percent, otherwise static algorithms will be better. The time efficiency of dynamic algorithms is related to special topology.
Modeling on Washing Machine Mode and Water-Saving Improvement
Authors: Du Hong Fei , Li Ming Qi , Wang Huan , Shui Tian Yun
Published: June 2011

A laundry detergent interval adding mode is proposed in this paper to deal with the case when the dirt is indissolvable by just adding once detergent in washing. The suggested mode is helpful to attain a better cleaning. Meanwhile, we established an optimization model for the water saving washing. Simulation shows that, when dissolving rate is high or cleaning effect requirement is low, cleaning effect of two patterns varies slightly. When dissolving rate is low while cleaning effect requirement is high, the traditional mode cannot achieve the target properly. However, if interval adding detergent pattern is applied the effect improvement will be obviously.
Key Material Supply Forecasting Diagnostics with Dynamic Bayesian Network
Authors: Jia Jiang Ming , Liu Yan Mei , Li Yun Hui
Published: June 2011

When supply channels varied increasingly, key material supply forecasting has become indispensable to effective operations management. Rapid technological changes and an abundance of product configurations mean that the supply for key material is frequently volatile and hard to forecast. The paper describes a key material supply forecasting diagnostics tools based on Dynamic Bayesian Network (DBN). The tool was embodied parametric description of some important factors in key material supply forecasting. Furthermore, we developed this tool to pool supply patterns of little or no supply history data. Finally, we solve this reasoning problem with stochastic simulation.
Interactive Mesh Segmentation Based on Graph Laplacian
Authors: Gao En Yang , Liu Wei Jun , Wang Tian Ran
Published: June 2011

This paper introduces a novel algorithm that decomposes a given shape into meaningful parts requiring only strokes to specify foreground and background regions. The user is asked to draws freehand sketches to provide some facets as belonging to the desired part of the surface, and then an energy function is constructed based on graph Laplacian. Finally, a solution of minimizing energy function is provided and then segmentation is finished. We have presented an effective interactive system with an easy-to-use UI for mesh segmentation. The experiment results show that our algorithm is robust, fast, and capable of producing satisfactory results with regard to the human intuition and geometric attributes.
Robust Video Transmission for H.264 Scalable Video Coding System over Error-Prone Networks
Authors: Wang Chou Chen , Chen Wei Han , Lu Yan Lin , Wu Jia Wei
Published: June 2011

In this paper, we develop a novel robust scheme of two-dimensional unequal error protection (2-D UEP) for the H.264 scalable video coding (SVC) with a combined temporal and quality (SNR) scalability over packet-erasure channel. To avoid the waste of bits and obtain the best rate allocation, we propose a threshold-based UEP (TH-UEP) scheme. The proposed TH-UEP designs a predefined threshold according to the length of packet and the error correcting ability of RS code to achieve the best allocation. In addition, the proposed scheme also derives a simple mathematical model to reduce computational load of the best allocation. Experimental results demonstrate that the proposed H.264 video transmission scheme can provide strong robustness and video quality improvement when compared to other 2-D UEP schemes.
Embedded Real-Time MPEG-4 Decoder Based on ADSP-BF527
Authors: Wang Chou Chen , Lin Huei Shiung , Liou Feng Yu , Hung Ji De
Published: June 2011

In this paper, we propose an embedded real-time MPEG-4 decoder based on ADSP-BF527 Blackfin DSP. In order to achieve the real-time requirement of MPEG-4 decoding, we modify and optimize the decoding modules. Firstly, we analyze the number of operations for various modules, and then use two buffer groups (BG) as parallel decoding mechanism of broadcast transformation. Finally, we make use of direct memory access (DMA) to carry out program steps. Experimental results demonstrate that the proposed method can decode a CIF video which reduces approximately 40.3 MHz core cycles. In addition, the decoded frame playing rate can increase from 3 fps to 25 fps when applied the PPI procedure. The playing rate can reach above 30 fps as using QCIF video so that the proposed method can achieve a real-time decoder and player.
Wyner-Ziv Coding over Broadcast Channel with Noncausal Channel Side Information only Known at Encoder
Authors: Wang Da Jin , Xue Guang Da , Yan Gui Liang
Published: June 2011

We consider the problem of transmitting common message over discrete memoryless broadcast channel (DM-BC) with noncausal discrete memoryless (DM) channel side information (CSI) only known at encoder. Nayak, etc. consider this problem and give a scheme combining Wyner-Ziv coding and Gelfand-Pinsker coding. The Gelfand-Pinsker's code is optimal for point-to-point communication with the encoder accessed to noncausal CSI. But Nair, etc., show that the straightforward extension of Gelfand-Pinsker's code to DM-BC with DM state is not optimal. In this paper, the inner bound of transmitting common message over DM-BC with noncausal DM-CSI only known at encoder is given. The proof of achievability uses Wyner-Ziv coding, Gelfand-Pinsker coding, superposition coding, Marton coding and indirect decoding.
Dynamic Analysis and Control Experiment of a Novel Mobile Robot
Authors: Zheng Yi Li
Published: June 2011

In this paper, a novel mobile robot is introduced. The mechanical structure, control system and the simplified dynamic model of the robot are given particularly. Moreover, the pose and velocity control strategies of the robot is presented respectively. Finally, the mechanical structure and control strategies are validated through a series of experiments.
Research on Converged Access Network of WDM-PON and WiMAX
Authors: Hu Yi Hong , Shou Guo Chu , Qian Zong Jue , Shen Hao Xing
Published: June 2011

Fixed Mobile Convergence (FMC) provides a solution of the converged access network for wired and wireless network. PON and WiMAX are the typical representatives in fiber access network and broadband wireless access network, of which the convergence has great research value. The converged network of PON and WiMAX has the advantage of high-bandwidth, which can provide various kinds of broadband access services and has features of low cost and simple and flexible. There are a variety of system forms for PON technology, one of them with unique advantages is WDM-PON system. In WDM-PON systems, each service has exclusive transmission bandwidth, which makes the converged network of WDM-PON and WiMAX has much more advantages than any other PON network. This paper proposes a converged network model of WDM-PON and WiMAX, and focuses on the analysis of dynamic bandwidth allocation algorithm applicable to the converged network model; then does some simulation of this dynamic bandwidth allocation algorithm, proves that the algorithm has a good delay effect in overload conditions, and analyses the bandwidth rate taken by traffic flow of different service levels under different network load situations.
A Multi-Node Co-Allocation Parallel Downloading Algorithm
Authors: Wu Qing Xiang , Shuai Jian Mei , Lu Xiao Shuang
Published: June 2011

In distributed data storage, a particular dataset can reside at multiple locations in order to get high availability .Thus, the dataset can be downloaded in parallel from multiple nodes.Throughput between server and client changes dynamically, so the downloading speed can vary unpredictably. A dynamic parallel downloading algorithm based on measurement of bandwidth and bandwidth prediction is produced in this paper and server caching is adopted in order to improve downloading speed. The algorithm dynamically adjusts downloading of the last block to make parallel downloading from multiple servers end almost simultaneously. With this approach, the download time is reduced and the robustness of the downloading system is improved. Besides, the algorithm not only avoids complicated server selecting mechanism, but also improves load balance of the servers.
Adaptive Fuzzy PID Arithmetic Applied in Water Tank Temperature Control
Authors: Dong Jie
Published: June 2011

As the development of the modern workshop, the demand for water supply and heating system is more and more important. This paper comes from the faw-volkswagen company’s construction project about the automatic water supply system of one of its workshop. For many reasons, the conventional PID control can't satisfy the workshop’s demands for the certain temperature, after a careful research of the system, we utilize the principle of fuzzy PID adaptive control to design a fuzzy PID controller, then put it into the water tank heater’s controlling, through the practice, we find the controller has a good robust property and reached the practical production needs.
A Review on the Research of Sentiment Analysis in Computational Linguistics
Authors: Wang Jian Xiong , Feng Yuan Yong , Li Fu Fang
Published: June 2011

This paper present a review on the research of sentiment analysis in computational linguistics (CL). This information can contribute to defining the reference point for appraisal in CL. Some different approaches to related problems in documents are also be discussed with the aim of formulating the research issues.
An Improved Kalman Filter in HINOC System
Authors: Zhang Shen Zheng , Sun Bin , Cui Xiao Xin , Yu Dun Shan
Published: June 2011

Kalman filter algorithm is an effective self-adaptive filtering algorithm, but it has limited practical application due to its relatively higher requirements for hardware. In this paper, an improved Kalman filter algorithm is used in actual systems, which based on stepped data processing, greatly reducing the hardware resource.
On the Number of Balanced Even-Variable Boolean Functions with Maximum Algebraic Immunity
Authors: Xin Hai , Fu Shao Jing , Li Chao
Published: June 2011

Enumeration of Boolean functions with maximum algebraic immunity (MAI) is investigated in this paper. The even-variable Boolean functions with maximum AI were divided into 3 classes. First, we can obtain the number of the first two classes, and then we give a construction which provides large number of Boolean functions with maximum AI belong to the third classes. As a result, the lower bound on the number of balanced even-variable Boolean functions with maximum AI was improved.
Software Bus Architecture of Computer Numerical Control System
Authors: Qi Zhong Xia , Chen Jiang , Wang Chun Xia
Published: June 2011

To meet the needs of open system and specific requirements of CNC platform, the component Software-Bus-Adapter model (SBA model) is presented. In this model, functional modules and application modules are encapsulated into components and integrated through software bus. The software bus is bridge between components communication. And the adapters accomplished hybrid components interface and data format transformation, which can be added to and removed from the system at runtime. Based on The SBA model is proven to be a solid base for CNC developing system with high efficiency, interoperability, scalability and openness. Development Practice has proved that SBA - based model of CNC system has more efficient and better interoperability and flexibility.
A Research on Circular Localization Algorithm of Wireless Sensor Network
Authors: Xia Xin Jiang , Hu Gang , Wei Qin Wei
Published: June 2011

This paper based on several common wireless sensor node localization algorithms. According to the concentric localization algorithm principle, we proposed an annular localization algorithm and its improved algorithm .The algorithm uses the anchor node to do node ring through certain rules, narrows unknown nodes estimate area continually, and until finally gets the minimum area contains unknown nodes. Then taking the minimum area centroid position as unknown node’s estimate coordinates. Through the simulation of concentric localization algorithm and its improved algorithm, circular localization algorithm and its improved algorithm, can conclude that: When the proportion of anchor node increases from 5% to 10%, the positioning accuracy is obviously improved in the situation of low energy consumption.
Using Formal Concept Analysis and Rough Set Constructing the System of Semantic Web
Authors: Xu Hong Sheng , Zhang Rui Ling
Published: June 2011

Formal concept analysis (FCA) is based on a formalization of the philosophical understanding of a concept as a unit of thought constituted by its extent and intent. The rough set philosophy is founded on the assumption that with every object of the universe of discourse we associate some information. This paper deals with approaches to knowledge reduction in generalized consistent decision formal context. Finally, a new system model of semantic web based on FCA and rough set is proposed, which preserve more structural and featural information of concept lattice. In order to obtain the concept lattices with relatively less attributes and objects, we study the reduction of the concept lattices based on FCA and rough set theory. The experimental results indicate that this method has great promise.
An Algorithm of Constraint Frequent Neighboring Class Set Mining Based on Interval Mapping
Authors: Fang Gang , Xiong Jiang , Tang Xiao Bin , Tu Cheng Sheng
Published: June 2011

Since the algorithms of constraint frequent neighboring class set mining based on Apriori has some redundancy candidate constraint frequent neighboring class set and some repeated computing, so its efficiency isn’t improved. Hence, this paper proposes an algorithm of constraint frequent neighboring class set mining based on interval mapping, which may efficiently extract short constraint frequent neighboring class set from large spatial database via up search. The algorithm uses binary weights to change neighboring class set into integer, which is looked on as a spatial transaction, and it uses interval mapping to generate constraint frequent neighboring class set via up search, i.e. the algorithm creates an interval to map a range of generating candidate, up search is mapping candidate from minimum to maximum of the interval. The method is different from traditional up search or down-up search. The experimental result indicates that the algorithm is more efficient than the constraint frequent neighboring class set mining algorithm based on Apriori when mining short constraint frequent neighboring class set.
The Study of Port Logistics Capabilities Based on Random Forest
Authors: Ge Zhen Zhong , Liu Yong Jun
Published: June 2011

The throughput of port is an important indicator of port logistics capabilities. Behind the throughput there are a lot of factors. It has practical significance for quantitative analysis these factors that the degree they affect the throughput. This can be calculated the order of importance of these factors, then we can improve the focus factor, thereby enhance the throughput and logistics capabilities according to the port development plans.
Fuzzy Knowledge Representation Based on Fuzzy Linguistic Variable Ontology and SWRL on the Semantic Web
Authors: Li Yan Ling , Liang Yi Duo , Zhai Jun
Published: June 2011

Ontology is adopted as a standard for knowledge representation on the Semantic Web, and Ontology Web Language (OWL) is used to add structure and meaning to web applications. In order to share and resue the fuzzy knowledge on the Semantic Web, we propose the fuzzy linguistic variables ontology (FLVO), which utilizes ontology to represent formally the fuzzy linguistic variables and defines the semantic relationships between fuzzy concepts. Then fuzzy rules are described in Semantic Web Rule Language (SWRL) on the basis of FLVO model. Taking a sample case for students’ performance in physics for example, the fuzzy rule management system is built by using the tool protégé and SWRLTab, which shows that this research enables distributed fuzzy applications on the Semantic Web.
Application of Probabilistic Neural Network Technique in Identifying Low Porosity and Low Permeability Gas-Layers in Logging Data
Authors: Zhang Chong , Pan Guang Chao
Published: June 2011

In view of poor Physical Properties,complex Pore Structure and high saturation of low porosity and low permeability gas layers ,in order to overcome the difficult of fluid property identification in low porosity and low permeability gas layers using conventional method, probabilistic neural network technique was Proposed.According to an example for low porosity and low permeability gas reservoil in Southwest China, Combined with well testing data,logging Response Characteristics of various fluid property layers were analyzed.According the correlation between logging Response Characteristic values and fluid property, PNN was trained and PNN prediction model was established. fluid property in the region layers were identified.The results showed that the PNN prediction model was very promising influid property identification.