bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Robust Extracting Outliers Algorithm in Fermentation Process Data Preprocessing
Authors: Zhang Xin Rong , Chang Bo
Published: October 2011

When the process monitoring model based on PCA is established, outliers would destroy covariance structure of model, so monitoring model deviations will affect the monitoring results. Because the CDCm outlier detection algorithm based on robust scaling underestimates the mean and standard deviation of the normal process data, some outliers will be not detected. The CDCm outlier detection algorithm based on modified scaling achieves an accurate estimate for the original data and can overcome the lack of robust scaling by using the maximum variable value to calculate the distance, using CDCm algorithm to obtain the shortest normal point between sampling values and center distance, which will obtain valid data, computing the first Markov distance of iterative algorithm, and by selecting the samplings corresponding the smaller distance value for iteration to obtain normal data. The robust scaling and modified scaling detection algorithm is applied to fermentation process and the test results have shown that modified scaling CDCm detection algorithm is more accurate and effective.
A New Self-Organizing Migrating Algorithm Based on Dynamic Hybrid Migrating
Authors: Peng Sheng , Li Yuan Xiang
Published: October 2011

A new self-organizing migrating algorithm named the Dynamic Hybrid Self-Organizing Migrating Algorithm (DHSOMA) is proposed in this paper. First the DHSOMA get the individual’s rank in the population; if the rank of the individual is good, then the DHSOMA randomly selects an individual in population for cooperation evolution; else the DHSOMA takes the individuals dynamic self-organizing migrating. In this way, it accelerates the rate of convergence as well as the searching optima ability. Finally, in the numerical experiments show the performance is much better than HBSOMA and SOMA.
Integrated Environment for PDM, RE and CAD/ CAM System
Authors: Tong Yi Fei , Yang Yi Chun , Tian Hao , Li Dong Bo
Published: October 2011

Functional model for realizing the data integration of product data management, reverse engineering software and CAD/CAM system is proposed to support digitized prototyping and shorten the time market of new product. Measured data from CMM (Coordinate Measuring Machine), describing the geometric information of product would be sent directly to RE software. After refining and smoothing the “data cloud”, meshes of curves would be generated and sent to CAD/CAM system. The original data will be overlaid onto NURBS model obtained from CAD system to verify the reconstructed surfaces. The CAD model may be further faired, analyzed or NC machined within the context of current CAD/CAM system. Feasibility of such an approach has been testified on a sample part.
The Design of Improved Normalization Algorithm for Drop Analysis
Authors: Song Qing , Guo Ling Yun , Chen Zi Lan
Published: October 2011

Normalization is the main part of optical fiber capacity drop analysis technique. This paper introduces the improvement of normalization by using new method to get the normalization points. The improved normalization algorithm can solve the problem that drop fingerprints cannot be compared with each other, and can eliminate the interference brought in by other factors.
Computer Animation of Dismantling and Assembling for a Gear Oil Pump
Authors: Yin Chang Gui
Published: October 2011

The paper chiefly discusses the animation design and fabrication of dismantling and assembling for a gear oil pump, which includes two links--AutoCAD modeling and design& realization of 3D Studio MAX animation. In the process of AutoCAD modeling, there are two links that are modeling for all parts and assembly of the gear oil pump. Meanwhile, the design and realization of 3D Studio MAX animation is discussed from four aspects: importing three dimensions models, designing and editing motions, endowing material, rending output.
Engine Indication System Simulation of General Aviation Aircraft Based on GL Studio
Authors: Liu Jian , Zhang Xue Jun
Published: October 2011

This paper summarizes a recent study of instrument simulation system for general aviation aircraft. As a component of avionics system for small aircraft, the Engine Indication System (EIS) displays critical engine, electrical, and fuel system information. This article introduces the cycle of developing the virtual instruments simulation with GL Studio software, designs EIS interface based on Federal Aviation Regulation, offers different EIS configurations for aircraft cockpit display system and uses the graphics designer and the code editor of GL Studio combined with VC++ to simulate EIS interface. The simulation result which has already been used can real-timely show the parameters, and it also shows that the simulation based on GL Studio software has good effect and high fidelity.
Online Calculating Models of Temperature and Thermal Stresses for Turbine Rotors
Authors: Zhang Heng Liang , Xie Dan Mei , Nie Chu , Xiong Yang Heng
Published: October 2011

This paper presents the faster calculating models of temperature and thermal stress in a rotor based on two-dimensional axis-symmetry thermal conduction and thermo-elastic theory. The models can deal with nonlinear factors caused by temperature-dependant properties using modified Newton-Raphson iterative method. An example has been given to compare the results calculated by the models with those calculated by finite element method. It is shown that the analytical models gained have high accuracy. The iterative models can be used for online monitoring and control of turbine.
Research on a Novel 3-DOF Planar Parallel Manipulator Driven by Three-Slider and its Larger Workspace Analysis
Authors: Deng Jia Ming , Wang Wei , Shen Hui Ping , Ma Zheng Hua , Li Yun Feng , Duan Suo Lin
Published: October 2011

In order to meet the needs of changing positions and orientations in large-scale product testing and large workpiece operating, such as machining, welding and spraying, this paper presents a planar decoupled parallel manipulator driven by three sliders. This simple but practical mechanism is capable of realizing a large workspace. The direct and inverse kinematical solutions are derived. The working spaces of the end operator are carried out when it is in given positions and given orientations. The simulation demonstrates that all kinds of straight lines and circles can be realized by the end operator of the mechanism, which the corresponding motion disciplines and characteristics of the three sliders are also obtained. Last, the virtual prototype of the manipulator is given. The paper lays the foundation for the manufacture, the real-time control and industrial application of the 3-DOF parallel manipulator.
Dynamic Analysis and Simulation of Sliding Vane Compressor
Authors: Ke Tao , Jun Zhang , Fang Tian
Published: October 2011

The stress analysis model of sliding vane which is the critical element in a compressor is put forward and dynamic analysis of the sliding vane has been done by Mat lab in this treatise. Through analysis and computation the forces transformation ranges of sliding vane in serial production are got out and variety regularities of forces are analyzed. Based on forced analysis frictional efficiency is analyzed and imitated. The relationship of compressor’s main design parameters with frictional efficiency is searched out. The results are significant for property analysis and optimization of compressor.
Research on Double Helical Lines Milling Process of Carrying Bag Cleaning Machine
Authors: Ke Tao , Wang Yuan Tao , Wang Zhen Yu , Wang Cong , Zhang Peng
Published: October 2011

This essay mainly focuses on the design of the track of miller tools used on the cleaning of residues in aluminum liquid container. It puts forward a running gear of compound discoidal milling cutter dealt with the cleaning of residues in aluminum liquid container with a feature of double helical lines cutting and planetary motion for the first time with the application of the metal machining theory. Besides, it analyzes and ensures many issues such as the track of discoidal milling cutters, scope of lead angle as well as the track of planetary motion.
Stress and Strain Analysis of First Stage Rotating Blades of Flue Gas Turbine Blades
Authors: Lin Guo Qing , Wang Mao Ting
Published: October 2011

Flue gas turbine is the key equipment of the refinery catalytic cracking unit and blades are important component parts. However, blades faults are accounted for a large proportion of various failures in the flue gas turbine. According to it, ANSYS finite element software is applied to analysis Level 1 dynamic blade stress and strain and obtained the stress and strain distribution of the gas turbine, the greatest stress is at the root of the blade suction side and pressure on both sides of the Ministry basin, the maximum stress intensity value is 169.698MPa and the maximum equivalent elastic strain is 0.194×10-3.Then at the basic of the stress analysis to strength check of blade’s body and at last proved that it meet the design stress intensity. Through theoretic analysis and the result of stress and strain analysis is proved that ANSYS software is acceptable and efficient. At the same time it provides a theoretical basis for engineering.
Performance Predication and Axial Force Study on Deep-Well Centrifugal Pump
Authors: Zhou Ling , Shi Wei Dong , Lu Wei Gang , Li Hui
Published: October 2011

Axial force is one of the main factors which affect the pump safety and reliability during the operation of pumps, especially in multi-stage centrifugal pumps. 150QJ20 type deep-well centrifugal pump (DCP) is selected as an example to research the pump performance and axial force with the numerical simulation and experiment method. The numerical simulation results were compared with experimental measurements, and such result was analyzed. The results show that the change trend of the pump performance and axial force acquired by numerical and experiment is similar. At rated operating point, the error of axial force between the numerical simulation and experimental measurements is less than 3%. This confirmed the feasibility of predict the pump performance by numerical simulation method.
Design of Can Bus Clock Synchronous System Based on STM32
Authors: Liu Bao Hu , Zhang Xue , Chen Wen Gang
Published: October 2011

IEEE1588 Precision Clock Protocol is applied to Can Bus distributed system platform constructed of STM 32 chips to accomplish the clock synchronous system between primary and subsidiary base stations, thus ensuring the clock synchronization with the precision of millisecond.
A New Method of Orthogonal Grid Generation
Authors: Ma K. , Wei W.L.
Published: October 2011

A method for orthogonal grid generation is presented. The generating system is based on solution of a system of partial differential equations with finite difference discretization. The influence of the number of grid points, type of boundary, and intensity of the grid quality control function and grid properties are investigated. Specification of both boundary point distribution on all sides is used. The proposed method is applied to various test problems£¬which shows this method provides a good balance between controlling grid orthogonality and cell aspect ratio.
An Investigation into the Impact of Fishery on Buried Depth of Subsea Pipeline
Authors: Cao Song Rong , Yu Jian Xing , Du Zun Feng , Zhang Gui Zhen
Published: October 2011

Fishing activities as well as other third-party factors can have great impact on the safety of subsea pipelines. Through an investigation into fishing activities in different sea areas in China, combined with theoretical and modeling calculation of the actual influence of the impacting trawl board and anchor on pipelines, a recommended under bed solution of subsea pipeline was worked out. The solution can provide reference in rule-making involving the burial depth of subsea pipelines.
Inter-Modal Couplings between Two Sea Subsystems with an Arbitrary Interface
Authors: Ji Lin , Huang Zhen Yu
Published: October 2011

A simple technique is introduced to estimate the inter-modal coupling relations of two Statistical Energy Analysis (SEA) subsystems connected via an arbitrary interface. Based on a subsystem modal approach, the dynamic stiffness matrix of a generic built-up system is derived analytically. The coupling stiffness terms between any pair of subsystem modes can then be determined in explicit expressions. Under the proper SEA conditions, e.g. each subsystem has a high modal density and the couplings between SEA subsystems are sufficiently weak, these inter-modal coupling stiffness expressions can be greatly simplified. The results can then be easily accommodated within the standard SEA modeling procedure to predict the SEA response of generic built-up systems in a simple manner. Theoretical applications are made to estimate the SEA coupling loss factors between two subsystems connected by two rigid points.
Pulping Utilization of Spartina alterniﬂora (Common Cordgrass) Based on Fiber Characteristics
Authors: Wu Lan Fang , Xu Zhi Jie , Qin Zuo Dond , Duns Greg , Chen Ji Shuang
Published: October 2011

Due to the decline of the world's forest resources, non-wood fiber sources are becoming increasingly important as raw materials in fiber-based industries, One source of such non-wood fiber isS. alterniﬂora(Common Cordgrass) and related species, which are large-sized grasses, about 1-1.5 m tall, with leaves 20-60 cm in length). These grasses have invaded many coastal areas in China and can result in huge economic losses. Studies have shown that the fiber composition of S. alterniﬂora is: cellulose 35.9%, hemicellulose 34.2%, lignin 15.9%, ash 2.98%. The length of S. alterniﬂora fibers, which are shorter and narrower than bamboo fibers, makes it difficult to utilize S. alterniﬂora in chemical pulps. However, thermomechanical pulping of S. alterniﬂora stems can be used to prepare pulps which can then be suitably mixed with chemical pulps and used to manufacture a variety of molded pulp products The raw material for the pulp molding products is used S. alterniﬂora pulp mixing with other chemical pulp like bamboo pulp, off-cuts from the paper making factory, printing factory, corrugated factory and other paper product factories. The pulp molding products can be collected and reused again, which could control the rapid spread invasive species of S. alterniﬂora effectively. Even if it is abandoned in nature, it will be biodegraded into fertilizer within a few months.
Study on the Inclusion Interactions of β-Cyclodextrin with Oleic Acid by Competitive Inclusion Method
Authors: Xu Xue Feng , Guan Ji Ju , He Rong Jun
Published: October 2011

The grinding wheel will have a property of self-lubricating when the inclusion complexes of β-cyclodextrin (β-CD) and oleic acid are used as filler. The association constants and thermodynamic parameters of inclusion complex of β-CD and oleic acid were determined by competitive inclusion method in aqueous buffer solution (pH = 10.50,c= 0.025 mol/L) at different temperatures using phenolphthalein (PP) as a probe. Furthermore, the stoichiometric ratio of the complex was derived by equimolar series method. The results showed that the stoichiometric ratio of the complex was about 1:1 and the thermodynamic parameters ofΔG,ΔHandΔSwere all negative, which indicated that the formation of the inclusion complex was spontaneous, exothermic and enthalpy-driven. Thermogravimetric analysis revealed that the complex began to have a weight loss at 300°C and could withstand the hardening temperature of resin bond grinding wheel.
The Optimal Design of Reinforcement Rib Based on the Orthogonal Test and Finite Element Analysis
Authors: Su Liang Yao , Li Xiang Sheng , Yin Xiong Fei , Feng Xiao Yan
Published: October 2011

the reinforcement rib design is one of the key parts in entire bottle design. This paper presents the optimal design of reinforcement rib is based on the orthogonal test and finite element analysis, which is according to the finite element analysis results as its test data, with the target of the minimum stress, analyses the influence of each size of the reinforcement rib on the stress, obtain the optimal design proposal. The results show that the orthogonal experiment method can effectively distinguish different influence of various parameters on the stress, analyze the optimal design proposal, meanwhile, it can guide the bottle design in practical terms.
Study on Hot Compression of Ti3Al Alloy Based on DEFORM-3D
Authors: Fan Jun
Published: October 2011

The filling capability of forging die is the key to design forging die and it exerts an important influence to the quality and life of die. In response to the difficulty in filling of forging die, and taking forged Ti3Al alloy as the research object, at the same height of reducing, strain rates during forming as the control objective, the finite element numerical simulation method was used to simulate the hot compression of Ti3Al alloy with DEFORM-3D. This test simulated the process of hot compression, analysed the hot compression behavior of the stuff and discussed the effect of strain rates on the variety and distribution of stress and strain.
Study on Gyroscopic Effect of Magnetic Flywheel Rotor
Authors: Wen Xiang Long , Cao Cao
Published: October 2011

In the high-speed, gyroscopic effects of the flywheel rotor greatly influence the rotor stability. The pole-zero points move to right of s-plane and the damping terms of the pole points become smaller. The stability of the system will get worse with the increasing of rotor speed when the traditional decentralized PD controller is used only. In the paper, a cross-feedback control with decentralized PD control is used for compensating gyroscopic effect. The simulation results show that the system stability is better using the cross-feedback control with decentralized PD control than using the traditional decentralized PD control.
Prediction of Nano TiN Particles Content in the Ni-TiN Composite Coating Based on AR Model
Authors: Xia Fa Feng , Ma Chun Yang , Wang Jin Dong
Published: October 2011

Auto Regressive model (AR) of nanoTiN particles content in Ni-TiN composite coating was established by the method of Time Series Analysis. The trend of the nanoTiN particles content variation was forecasted with the AR model,and the prediction value and experimental test results were compared. The results show the model may forecast the nanoTiN particles content in Ni-TiN composite coating. And the average deviation is about 5.2884%. The average grain size for Ni and TiN is approximately 52.85 and 39.13 nm, respectively.
A Novel Efficient Classification Algorithm Based on Class Association Rules
Authors: Zhang Shou Juan , Zhou Quan
Published: October 2011

A novel classification algorithm based on class association rules is proposed in this paper. Firstly, the algorithm mines frequent items and rules only in one phase. Then, the algorithm ranks rules that pass the support and confidence thresholds using a global sorting method according to a series of parameters, including confidence, support, antecedent cardinality, class distribution frequency, item row order and rule antecedent length. Classifier building is based on rule items that do not overlap in the training phase and rule items that each training instance is covered by only a single rule. Experimental results on the 8 datasets from UCI ML Repository show that the proposed algorithm is highly competitive when compared with the C4.5,CBA,CMAR and CPAR algorithms in terms of classification accuracy and efficiency. This algorithm can offer an available associative classification technique for data mining.
Transformer Fault Diagnosis Based on Fuzzy Support Vector Machines
Authors: Liu Yi Yan , He Shuan Hai , Ju Yong Feng , Duan Chen Dong
Published: October 2011

Due to lack of typical damage samples in the transformer fault diagnosis, a new fault diagnosis method based on fuzzy support vector machines (FFSVMs) was presented. According to the method, the five characteristic gases dissolved in transformer oil were extracted by the K-means clustering (KMC) method as feature vectors, which were input to fuzzy optimal multi-classified SVMs for training. Then the FSVMs diagnosis model was established to implement fault samples classification. Experiment showed that by adopting facture extraction with KMC, the diagnosis information was concentrated and the consuming in parameter determination was solved effectively. The presented method enabled to detect transformer faults with a high correct judgment rate, and can be used as an automation approach for diagnosis under condition of small samples.
A Personalized Collaborative Learning Model Base on ACO Clustering
Authors: Zeng Rui , Wang Ying Yan
Published: October 2011

At present, the web-based collaborative learning is the main form of long-distance learning and it has been widely used in the distance learning domain. However, the main body-intelligence degree of the existing Web learning system is low; the existing system lacks to the support of the personal study, which has hindered the individual skill of the users. According to the question that exists in the collaborative Learning, I constructed the intelligent agent model of collaborative Learning which is composed of main control program, student proxy, teaching proxy and the information proxy based on the intelligent agent technology which belongs to the domain of Artificial Intelligence and I discussed emphatically how to effectively realize the personal study by using the machine learning and the data mining method. It can cause the web-based cooperative learning developing along the direction of intelligent and personal
VPN Security Technology Theory Modeling and Simulation
Authors: Fan Ya Qin , Qian Sheng Sheng , Liang Feng Shan
Published: October 2011

In order to authenticate users and to strictly control the only authorized users can access VPN address and biling functions to provide audit expenses such problems, the paper established a theoretical model of VPN security technologies, the use of OPNET simulation tool for safety and technical performance of the VPN the simulation results of VPN security professionals with practical reference value.
A Spatio-Temporal Video Segmentation Method Based on Motion Detection
Authors: Wang Jin , Li Zhao Hui , Li Dong Mei , Wang Yu
Published: October 2011

In the paper, a new spatio-temporal segmentation algorithm is proposed to extract moving objects from video sequences, the sequences were taken by stationary cameras. First, the motion detection is used to achieve the mask representing moving regions with a estimation noise parameter. Which can effectively improve noise immunity. Due to the shortage of the moving video object textures, the eight-neighbor motion detection is present, which is used to smooth the mask boundary and fill the interior holes. Then a morphological filter is applied to refine the moving mask. Second, spatial segmentation is detected by the Canny operator. Then utilize the gradient histogram to select the high threshold to increase the adaptivity of Canny algorithm. Finally, merge the temporal and spatial mask by neighborhood matching algorithm to ensure further reliability and efficiency of our algorithm. Experiments on typical sequences have successfully demonstrated the validity of the proposed algorithm.
Analysis on Optimizing of Antenna Feeding Network
Authors: Li Ping , Li He Yan , Tang Ling Ling , Li Jun Li , Guo Dong Yang
Published: October 2011

A new feeding form is designed as a discontinued T-shaped in this paper. This paper also models a function with restrict conditions, a set of data is educed by optimizing nonlinear function, which is transformed through adding penalty function. At last, when the two-set coaxial impedance matching apparatus is fixed on the antenna, a comparison of simulator between the impedance and without it indicates that the matching results are satisfactory.
Efficient and Secure Two-Way Asynchronous Quantum Secure Direct Communication Protocol by Using Entangled States
Authors: Fu Min Cang , Wang Jia Chen
Published: October 2011

An efficient and secure two-way asynchronous quantum secure direct communication protocol by using entangled states is proposed in this paper. Decoy photons are utilized to check eavesdropping; the securities of the protocol are equal to BB84 protocol. After ensuring the security of the quantum channel, both parties encode the secret message by using CNOT operation and local unitary operation separately. The two-way asynchronous direct transition of secret message can be realized by using Bell measurement and von Neumann measurement, combined with classical communication. Different from the present quantum secure direct communication protocols, the two parties encode secret message through different operations which is equivalent to sharing two asymmetric quantum channels, and the protocol is secure for a noise quantum protocol. The protocol is efficient in that all entangled states are used to transmit secret message.
Research of Protection Methods on Information Leakage from Gap
Authors: Li Ping , Fu Min Cang , Li Jun Li , Guo Dong Yang , Li He Yan , Liu Ying
Published: October 2011

This paper is analyzed based on the principles and methods of the information electromagnetic disclosure. FLO/EMC research is done of the problem of the developed anti-disclosure electronic equipment box [1]. The current distribution of the box's inside surface is analyzed through simulate the shielding box's gap. The shielding effect of the box's different gaps in given. With the principle of the information leak, the suggestions of the conductive gasket to prevent information leak is proposed to support the design of the anti-leakage equipment theoretically.
An All CMOS Current Reference
Authors: Li Lin An , Tang Ming , Ou Wen , Hong Yang
Published: October 2011

In this paper, an all CMOS current reference circuit which generates a reference current independent of PVT (Process, supply Voltage, and Temperature) variations is presented. The circuit consists of a self-biased current source (SBCS) and two nested connected transistors which supply a voltage with positive temperature coefficient and the resulting reference circuit has low temperature coefficient. It is based on CSMC 0.5um mixed-signal process with the supply voltage of 5V. The precision of reference current is about ±3.05% when considering the process, supply voltage and temperature variation at the same time.
An ID-Based Proxy Multi-Signature Scheme
Authors: Meng Hui , Qian Xu
Published: October 2011

Proxy multi-signature is an extension of the basic proxy signature primitive, and permits two or more entities to delegate their signing capabilities to the same other entity. Combining proxy multi-signature with identity based cryptography, in this paper, We construct a concrete identity based proxy multi-signature scheme by using bilinear pairings. Analysis shows that the scheme is capable of resisting forgery attack and can satisfy all the required security properties of a proxy signature. Furthermore, the new scheme is very simple and efficient computationally. It has the property that the size of a proxy multi-signature is independent of the number of the original signers.
An Image Scrambling Method Based on Chaotic Sequence and Space-Bit-Plane Operation
Authors: Liu Rui , Tian Xiao Ping
Published: October 2011

Image scrambling is an important technique in digital image encryption and digital image watermarking. This paper proposes a new image scrambling method, which based on chaotic sequence and space-bit-plane operation (SBPO). First, every eight pixels from different areas of image were selected according to chaotic sequence, and grouped together to form a collection. Second, the SBPO was performed in every collection and built eight pixels of the image with new values. The scrambling image was generated when all pixels were processed. This method can scramble image not only based on the pixel’s position but also the value and their corresponding probability. The experimental results show that this scrambling method possesses perfect confusion properties and it can resist various attacks.
Analysis of M2M Industry Value Chain
Authors: Peng Zhang Jie , Peng Zhang Lin , Wu Ming Ming
Published: October 2011

M2M communications are capturing the attention of many stakeholders from application developers to mobile operators. Recent initiatives of the GSMA and of mobile operators show their interest in finding new sources of revenue through the adoption of wireless connectivity in a wide range of devices. This paper discusses the current and emerging value chain in the M2M industry. In addition, critical industry and value chain trends are presented, along with roles of MNOs in the evolving M2M industry.
Application Design for Oilfield Monitoring System Based on ZigBee Wireless Network Technology
Authors: Meng Kai Yuan , Yang Peng , Cao Qing Nian
Published: October 2011

By analyzing the oilfield wireless monitoring system, the paper puts forward an oilfield monitoring system framework based on ZigBee wireless sensor networks on basic of studying ZigBee standard communication protocol. Software and hardware of data acquisition and transmission are designed in this system. The fast network and wireless transmission are realized.
A Fit Degree Based Two-Step Lookahead Algorithm for Solving the Container Loading Problem
Authors: He Kun , Huang Wen Qi
Published: October 2011

This paper presents a Fit Degree based Two-step Lookahead algorithm (FDTL) for the NP hard container loading problem. Several evaluation criteria, the fit degrees, are defined to construct different initial solutions as well as to explore different portions of the search space. Then a two-step lookahead tree search procedure is incorporated for the sufficient search such that the algorithm could find better layouts compared to a one-step lookahead tree search procedure. FDTL is tested on two sets of typical instances: 800 instances as proposed by Bischoff and Ratcliff (1995), and 15 instances as proposed by Loh and Nee (1992). Experiments show that this new algorithm improves among the known algorithms on the space utilization.
Application of Advanced Process Control in Circulating Fluidized Bed Boiler
Authors: Jiang Yin Ping , Liu Shan , Yang Yun Hua
Published: October 2011

Circulating Fluidized Bed Boiler is a complicated control object with big delay, multi-variable and strong coupling, especially the combustion in it. It is too difficult to build an exact mathematic model to describe the combustion process. And it is hard to get ideal control effect with normal controller. This paper presents the overview of advanced control techniques in thermal process control of Circulating Fluidized Bed Boiler, such as decoupling control, predictive control and fuzzy control. The future of advanced control research and application is also discussed.
Behavior Modeling Method of CGF in TBM Combat Simulation
Authors: Song Guo Jun , Mu Xiao Dong , Chang Rui Hua , Zhang Hai Jing , Zhang Qing Hui
Published: October 2011

This paper studies the CGF behavior modeling method in Agent-based TBM combat simulation system, which focuses on the decision-making behavior and combat behavior of CGF Agent. Agent entities are divided into three levels, and a three-level organizational structure of Agent has been established. To reflect the relationship between attack and defense, we establish a BDI model based on rival model to track the status of rival Agent and do real-time response. Finally gives the realization method of TBM combat simulation system.
Blind Separation of Coherent Signals Based on Toeplitz Matrix Reconstruction
Authors: Tang Ling , Song Hong , Hu Lian Jun
Published: October 2011

A new blind beamforming algorithm for separating and estimating coherent signals arriving at an antenna array is proposed in this paper. This algorithm is implemented through arranging the received data’s correlation function of each array element and reference array element (the first array element), to form the Hermitian Toeplitz matrix first. Then through the singular value decomposition of the matrix the signal subspace and noise subspace can be get, in order to achieve the direction vector of coherent sources to beamform, which can separate the independent signals from different directions effectively without knowing the transcendent knowledge of the signals. The new approach can estimate the coherent signals’ direction-of-arrival(DOA) on the basis of separation, and has good performance under the low SNR. The simulation results show that the proposed method is effective．
Design and Implementation of Full-Text Retrieval System for People’s Daily Annotated Corpus
Authors: Zhang Yang Sen , Huang Gai Juan
Published: October 2011

In this paper, we have designed and realized a efficient full-text retrieval system for the basic annotation People's Daily Corpus based on the inverted index technology. According to the characteristics of the basic annotation People’s Daily Corpus data, we have analyzed the methods and strategies of system implementing thoroughly. On the basis of comparing the various schemes, we have put forward to the three levels index structure of Chinese character, word and address set, and given the design approach of each level index dictionary structure. After converting the unstructured People’s Daily corpus into index structured data, we realized the full-text search algorithm correspond to the proposed index structure. Experimental results show that the proposed search algorithm has achieved the target of "ten millions Chinese characters, response in a second", improved the speed of the People's Daily Corpus full-text search.
Design and Optimization of Microwave Frequency Synthesizer Based on DDS
Authors: Si Chao Liang , Xu Cheng Qiang , Chu Guang Qian
Published: October 2011

This paper introduces a new frequency synthesizer scheme –Nested-mixer DDS driving PLL frequency synthesizer. It is a dual loop topology. The AUX PLL uses high comparison frequency. The main PLL comparison frequency is high and changed continuously. It overcomes the shortcoming of long switching time which happens in the traditional DDS+PLL. Taking some optimized measures helps to further improve the synthesizer performance. Oversampling is used to reduce DDS output spurious level. Optimizing the circuit layout and structure, using 6 layers PCB, making control and data signal lines as a separate layer, and sandwiching it between analog ground and digital ground plane, minimize the external noise impact on the frequency synthesizer. Finally, a high performance microwave frequency synthesizer with high resolution has been achieved. It has been applied successfully to a military transmitter and a measuring receiver.
Design of Service Supervision and Subsidies Evaluation System for Urban Public Transport
Authors: Wang Xiao Kun , Hu Bao Yu , Chen Wei Qiang , Liu Xin , Guan De Yong
Published: October 2011

In order to promote the sound development of urban public transport industry, government administration needs to enhance quality supervision of operational service to public transport enterprises, while taking scientific and effective strategy of financial subsidies. So service supervision and subsidies evaluation system for urban public transport are designed. First of all, system construction demand was analyzed based on enterprise operation cost accounting, subsidies evaluation and service quality supervision. And then the idea and workflow of system construction are proposed. Furthermore, public transport enterprises cost accounting, supervision and evaluation of public transport enterprise services, compensation scope and methods of financial subsidies to public transport enterprises, audit and evaluation of compensation mechanisms for financial subsidies are analyzed and researched separately. Based on the above, functional architecture of service supervision and subsidies evaluation system for urban public transport for government sector management is proposed. The system is composed of four function modules: basic database of public transport operation, cost of ticket revenue accounting system, service quality evaluation system, and subsidies compensation evaluation system. The ideas and methods are provided for service supervision and subsidies evaluation system for urban public transport and industry management information platform construction.
Design Process Control and Knowledge Service of Complex Product
Authors: Xi Wen Kui , Yuan Xiao Yang
Published: October 2011

The research of Service science, engineering and management （SSME） is depended on knowledge resources, and related to the process of serving. The research objective of this paper is oriented on a complex product design service which with the characteristics of disciplinary fusion, integration and coordination of knowledge, and the hypothesis oriented on knowledge flow was proposed for research this special service object. The content of this hypothesis is an experiential view, that is, modern complex product design process is driven by design task, and it is a knowledge flow process, whose core is new knowledge acquisition. Based on this experiential view, this study proposed a design process control and knowledge service research frame of complex product. Moreover, to promote the understanding and realization of the hypethesis mentioned above, the modeling and control of the design process of modern complex product through the process of knowledge flow, original knowledge acquisition of disciplinary subjects supporting for the construction of knowledge resources, and the construction and formal organization of resource unit based on knowledge base were conducted in this study. The knowledge flow-oriented hypothesis, experiential view and relevant prospective research results, are supposed to provide knowledge base and theory reference for the formation of SSME relevant axiom and theorem
Fault Diagnosis of Conveyance Machine Based on Fuzzy Support Vector
Authors: Hou Yuan Bin , Li Ning , Guo Fan , Chen Jing
Published: October 2011

Aiming random and nonlinearity for conveyance machine of rubber belt in mine, a method of fault diagnosis is presented which fusion of fuzzy theory and support vector machine (FSVM). According to the coal mine safety rules of the regulation, the conveyance machine servicing are deduced eleven faults after analyzing practice statistic data, here, we consider some are fuzzy that the statistic data are divided to the normal kind or fault kind, but some are definite that the statistic data possibility are belong to same kind fault, accordingly, the fuzzy support vectors is established. Farther, two kernel functions of FSVM is made for seeking the problem of random and nonlinearity, which are RBF and TANH. According to the random statistic data and the study sample, analyzing the effect of expense and kernel function in selecting different parameters, the unitary constant is ascertained, next, the FSVM kernel function of fault diagnosis multi-class rules are established, then, this method availability is proved using test data and simulation.
A Method of Designing CMS Guide Plan under Accident Impact in Province Expressway Net
Authors: Jin Yin Li , Zhang Ming Ming , Wang Chen
Published: October 2011

Traffic guide is a very important service for society. Current guide system is poor efficiency and complexly in operation. This made traffic guide information can’t be published regularly and in time. It also reduced down expressway net’s ability of providing traffic guide information for society. Regard CMS on expressway net as objective, after sorting and concluding guide information by scene analysis, the paper suggests a systematic method of processing traffic guide information based on dynamic traffic information automatic and prove it by an application. It can send detour information to each piece of CMS on expressway net quickly without redundant information. Traffic guide level on province expressway net would be improved extremely.
Han Ning Highway Traffic Accident Spatio-Temporal Analysis
Authors: Wang Chen , Du Kai , Jin Yin Li , He Ling Yun
Published: October 2011

Collecting the traffic accidents data of Han Ning highway in 2008, 2009 and 2010 three years, through two aspects of time and space to do statistical analysis and data mining of the traffic accidents of this highway. The result of the analysis is that accident rates have a certain relevance to time and space. From the time perspective, holidays and vacation days are accident high-risk days. From the space perspective, accident rate in the ascent and in the downhill are higher than on the straight road, cars go straight have a higher accident rate than in the corners, traffic accident rate in single-km single-lane tunnel is higher than outside the tunnel. Through the time and space distribution rule of the traffic accident, educating traffic participants follow the time and space distribution rule to restrict their behavior. Educating traffic managers obey the time and space distribution rule of traffic accident to adopt targeted management measures and engineering measures. Both of these two aspects have very important significance in reducing traffic accidents.
Health Care Service Designs with ICT
Authors: Chiou Chuang Chun
Published: October 2011

The applications of Information and Communication Technology (ICT) on new health care service design have drawn vast interests from both academics and industry. In this study we systematically analyzed the needs of different levels for the elderly. From home care service to acute medical treatment at hospital, the selection of appropriate service mainly depends on the level of medication. We address some critical issues and new trends for designing new care service via ICT. The study finds that the availability of enhanced Internet access, innovative interactive tools and devices, integrated health information systems, as well as gene-based screening and diagnostic tools will be the main areas for new health service design which can be tailored for the needs of different service levels.
Low-Contrast Blurry Image Enhancement Based on Human Visual Property and Generalized Fuzzy Operator
Authors: Wang Hui Feng , Liu Pan Zhi
Published: October 2011

On the basis of generalized fuzzy set theory, local contrast enhancement and human visual properties, a kind of adaptive enhancement technique presented. In this technique, first, a orthotropic Prewitt operator act on the original image, and then a normalization grads image can be obtained, second, we get the blurred image through a real-time low-pass filter such as Butterworth or Wavelet filter. At last we design a enhancement function based on a-tan function with the blurred image and grads image as input. And the gray image is translated to correspondent general membership function by using the a-tan mapping. The method can not only improve dynamic range, but also enhance the local contrast in the different gray levels with more image edges and details. Its efficiency and superiority are clarified by experiment.
Mining Maximal Dense Subgraphs in Uncertain PPI Network
Authors: Liu Jia Cai , Shang Xue Qun , Meng Ya , Wang Miao
Published: October 2011

Several studies have shown that the prediction of protein function using PPI data is promising. However, the PPI data generated from experiments are noisy, incomplete and inaccurate, which promotes to represent PPI dataset as an uncertain graph. In this paper, we proposed a novel algorithm to mine maximal dense subgraphs efficiently in uncertain PPI network. It adopted several techniques to achieve efficient mining. An extensive experimental evaluation on yeast PPI network demonstrated that our approach had good performance in terms of precision and efficiency.
Product Diffusion Model Associated with Dynamic Market Environment the Case of Mini Passenger Vehicle in China
Authors: Zhao Xiao Yu , Cheng Ai Guo , Zhong Zhi Hua
Published: October 2011

Based on the theory of diffusion, dynamic market environment is incorporated in the classical Bass diffusion model. The model which assumes that dynamic market environment variables simultaneously influenced the product diffusion at different level is proposed to examine the impact of dynamic market environment on product diffusion. The results of China mini passenger vehicle in recent 11 years indicate that the market environment acts an important role in product diffusion．Meanwhile，the empirical results also validate the effectiveness of incorporating dynamic market environment variables in diffusion model．
QoS-Based Data Aggregation Technology in Wireless Sensor Networks
Authors: Chen Zheng Yu , Yang Geng , Li Guo Hua , Xu Jian
Published: October 2011

The main goal of data-aggregation algorithms in wireless sensor networks (WSNs) is to gather and aggregate data in an energy efficient manner so that network lifetime is enhanced. In this article, we focus on QoS-based data-aggregation problems in WSNs. Firstly, we provide a definition of the different QoS parameters for data aggregation, such as energy efficiency, network lifetime, data latency and data quality. Then, we compare the different algorithms on each QoS parameter, describe the main features of each algorithm, and highlight the trade-offs between each parameter. Finally, we conclude with possible future research directions on QoS-based data aggregation in WSNs.
Reduction Rules of Graphical Representation in a Workflow Process Model
Authors: Hu Fei Hu , Jiang Jie , Wu Xiao Ning , Ru Feng
Published: October 2011

In this paper, we propose a set of reduction rules of graphical representation in a workflow process model called RTWD net. The concept of synchronization processes is introduced for reducing net structure, and an algorithm of abstracting synchronization processes is presented. We can clarify the main structure of RTWD net model through reduction rules and abstracting its synchronization processes. Finally, the feasibility of the method is illustrated by a case study.
Research on Railway Wagon-Loading Yard Arrangement Planning
Authors: Liu Qian Qian , Xie Hai Hong , Jin Xiong Huan
Published: October 2011

In order to explore railway freight transport potential, release productivity and alter transport developing mode, this paper proposes railway wagon-loading yard arrangement planning according to the innovation theory of railway organization and network planning. Fuzzy comprehensive evaluation system was established with reality analyze. After analyzing 1,172 loading yards, we developed the decision support system based on VB. The system provides references and methods for the yards to achieve logistics and transit transport. The Suggestions and further research are mentioned eventually.
Research on the Bounding-Inbox Localization Algorithm for Wireless Sensor Networks Based on RSSI
Authors: Yang Xue Cun , Hou Yuan Bin , Kong Ling Hong
Published: October 2011

Aimed at the people localization in the underground mine, the bounding-inbox localization algorithm of wireless sensor networks based on RSSI is presented in this paper, which combines the merits of range-based and range-free localization methods. And, signal strength information between fixed anchor nodes and unknown ones is taken as the weights of bounding-inbox algorithm to calculate. The result of simulating experiment in underground mine environment proves that this algorithm is of less computing cost and can improve the localization accuracy.