bluuebunny/crossref_metadata_2025 huggingface dataset:
Review of International Modeling Literature
Authors: Rodier Caroline
Published: January 2010

As the media document evidence of global climate change and the debate over humans’ role in precipitating this change ended, California led the nation by passing the first global warming legislation in the United States. California is tasked with reducing greenhouse gas (GHG) emissions to 1990 levels by 2020 and 80% below 1990 levels by 2050. The California Air Resources Board estimates that significant GHG reductions from passenger vehicles can be achieved through improvements in vehicle technology and the low carbon fuel standard; however, these reductions will not be enough to achieve 1990 levels if current trends in vehicle km traveled (VKT) continue. Currently, most operational regional models in California have limited ability to represent the effects of transit, land use, and auto pricing strategies; efforts are now under way to develop more advanced modeling tools, including activity-based travel and land use models. In the interim, this paper reviews the international modeling literature on land use, transit, and auto pricing policies to suggest a range of VKT and GHG reduction that regions might achieve if such policies were implemented. The synthesis of the literature categorizes studies by geographic area, policy strength, and model type to provide insight into the order of magnitude estimates for 10-, 20-, 30-, and 40-year time horizons. The analysis also highlights the effects of modeling tools of differing quality, policy implementation time frames, and variations in urban form on the relative effectiveness of policy scenarios.
How Travel Attributes Affect Planning Time Horizon of Activities
Authors: Akar Gulsah , Clifton Kelly J. , Doherty Sean T.
Published: January 2010

This study focuses on incorporating the travel attributes (time, cost, and availability of modes) in the activity planning time horizon analysis and presents mixed logit models estimated separately for different activity groups. Although the effects of many other variables are estimated, the focus is on the effects of location (in-home versus out-of-home) and log-sum (measure of travel characteristics) variables. The inclusion of several other variables (household and individual characteristics and activity attributes) allows controlling for many factors affecting this choice and increases the explanatory power of the models. The results of the models reveal that the effects of location and travel characteristics on planning time horizon choice vary among different activity types. Toward a better understanding and quantification of the effects of location and travel attributes, the probabilities of planning the activities in different time horizons are estimated separately for in-home and out-of-home, and with an incremental increase in the logsum. Results reveal that the household obligations and active activities are very sensitive to travel characteristics; therefore, significant changes in the planning and execution of these activities may be expected with changes in the transportation system characteristics. The results of this study enhance the understanding of relationships between travel time, cost, availability of transportation modes, and the activity planning process.
Model for Person and Household Mobility Attributes
Authors: Vovsha Peter , Petersen Eric
Published: January 2010

Individual mobility attributes have a strong impact on travel choices. In most applied models the only individual mobility attribute addressed is household car ownership. The new generation of activity-based models will be significantly expanded to include a wider range of mobility attributes, such as possession of a driver's license, employer-provided transportation for commuting, car available from work or business, employer-provided or subsidized parking, and transit pass holding. The paper outlines a general framework for inclusion of individual mobility attributes in travel models and statistically explores two of them–-household car ownership and person transit pass holding–-on the basis of the London Area Travel Survey conducted in 2001. A joint choice model for both mobility attributes is estimated, and the corresponding behavioral insights are discussed. Among the key findings, a strong interdependence between mobility attributes such as car ownership, transit pass holding, and employer-provided transportation benefits can be mentioned. The paper also discusses the practical benefits of including mobility attributes in travel models for testing different policy scenarios.
Large Problems of Dynamic Network Assignment and Traffic Equilibrium
Authors: Leurent Fabien , Aguiléra Vincent
Published: January 2010

The paper reports on the algorithmic treatment and computer implementation of a macroscopic dynamic traffic assignment model called LADTA. The modeling assumptions and the mathematical analysis founding the model are first explained. Detailed descriptions of the main algorithms are given, together with the principles of the computer implementation. How the design of the software architecture allows for distributed computation of a traffic assignment is shown. The practical ability of this implementation to tackle large networks is illustrated by an application to the Paris road network, which comprises about 1,300 zones and 39,000 links.
Methods for Generating Connectors in Transport Planning Models
Authors: Friedrich Markus , Galster Manuel
Published: January 2010

Centroid connectors in a transport planning model connect the centroid of a traffic analysis zone to nodes in the network. Because current modeling literature provides little precise information on how to model connectors, the paper suggests and evaluates methods for generating connectors and determining connector times in road networks. A microscopic reference scenario is created to evaluate the quality of results by comparing macroscopic travel times between zones and microscopic travel times between nodes. Values for the access, egress, and parking search time complement the paper.
Design and Implement of Attitude Sensor for High-Speed-Spin Vehicle
Authors: Wu Li Feng , Peng Z. , Yan Qing Wen , Zhang Wei , Zhang Fu Xue
Published: January 2010

In order to detect the rolling、pitch and yaw angle of high-speed-spin vehicle, a novel attitude sensor system is designed by using a digital signal processor TMS320F2812. The configuration of the sensor consists of two MEMS sensing elements and signal processing circuit and micro-processor. A new silicon MEMS gyroscope based on the Coriolis effect can sense three angular rate of spin vehicle, which can provide a synthesis signal, including roll, yaw and pitch angular rate. And a MEMS accelerometer reacts on demodulating the three angular rates. The design of the hardware circuit, the algorithm and implement of software are presented. The demodulation algorithm is validated by simulation experiment on the ground and the experimental results are presented.
Characteristics of Subspace Affine Pseudoframes with Filter Banks
Authors: Chen Qing Jiang , Zhao Lang
Published: January 2010

In this work, the notion of an 3-band generalized multiresolution structure (GMS) of sub-
-space L2 (R) is proposed. The characteristics of affine pseudoframes for subspaces is investigated.
The construction of a GMS of Paley-Wiener subspace of L2 (R) is studied. The pyramid decompo-
-sition scheme is obtained based on such a GMS and a sufficient condition for its existence is
provided. A constructive method for affine frames of L2 (R) based on a GMS is presented.
The Application of the Analytical Hierarchy Process in Performance Evaluation in Commercial Bank
Authors: Wang Jiang Tao , Qiu Yue
Published: January 2010

The proper performance evaluation relies on the construction of the scientific, reasonable, and feasible indices system. The balanced score card (BSC) works as good basis for the strategy of the commercial bank. It is a series of financial evaluation indices and non-financial evaluation system which provides prompt, overall, and objective support for managements to understand the operation situation. The AHP, a hierarchy weighted decision method, is used for complicated, over-ruled and un-quantified problems, it will relate the objective evaluation with the decision maker’s subjective judgment and reasoning, quantify the reasoning of the decision maker, avoid the logic mistakes the decision maker might make when dealing with complicated, or multiple projects. Using AHP with the basis of the evaluation indices of the BSC will form a whole construction of the evaluation system which reflects the basic situation of the commercial bank clearly.
A Hybrid Algorithm for Task Assignment Problem in Holonic Manufacturing System
Authors: Zhao Fu Qing , Zou Jian Hua , Sheng Shang Xiong
Published: January 2010

Manufacturing system is a typical complex system, while task assignment problem is an important topic in manufacturing system. It is one of the most difficult problems in the theory research for manufacturing system. In this paper, task assignment model in manufacturing system was modeled with the concept of Holonic Manufacturing System including basic system model, communication model, represent model and optimization model. Task assignment model based on operation cost and lead time is applied to cooperative activity among orders in a Holonic community. A hybrid PSO algorithm was utilized to the combination of the task assignment problem. Simulation result shows that the model and the algorithm are effective to the problem.
Constructing a Rule Engine System with SQL Server 2008
Authors: Ren Zhi Jun
Published: January 2010

Rules play a central role in a wide variety of applications. In addition to the declarative specification of business rules, the simple rule engine design described in this article can be used to implement state machines, predicate dispatchers, or any other rule-based system.
This paper introduces how to design a Rule Engine System with SQL Server 2008.
Application of Web-Based Intelligent Agent Tutoring Learning System
Authors: Qiu Wei
Published: January 2010

This document applied the intelligent agent technology into web-based education platform, which make web-based education more humanized, get further popularization and widely used. In the article, we introduced a web-based intelligent tutoring learning system. It could flexibly organize learning materials according his individual requirement providing personalized learning environment. The idea the based theory learning contents organization the key technology, system structure and how to realized it are all be dissertated. The web-base education has become a research focus; answer system on-line is an important part of it. In this paper, we introduce the concept and characteristics of Intelligent Agent technology, and propose a design plan about Intelligent Agent based answer system on-line.
Macrocell Label Switching Mechanism for MPLS-WiMAX Networks
Authors: Chen Jen Hui , Wang Chih Chieh , Hsiao Ying Chuan
Published: January 2010

This paper proposes a fast macrocell label switching mechanism (MLSM) in the MPLS-WiMAX networks. The mobil station (MS) communicates with each other within macrocell, e.g., MSA in the cellA communicates with MSB in the other cell, and can be switched via the media access control (MAC) layer without involving the network layer. The average access delay of request from MSs is studied and analyzed in this paper. Finally, simulation results show that the purposed MLSM operates effectively and efficiently in terms of network throughput, average delay, and resource utilization.
Database Visiting Method and Application in Electronic Power Monitor System by Using LabSQL in Virtual Instrument LabVIEW
Authors: Miao Man Xiang
Published: January 2010

Electric power quantity monitor is a premise to provide high-quality electric power, therefore, on the electric power market; it has appeared much more electric power quantity monitoring system based on virtual instrument design technology such as software of LabVIEW. We aims at calculator data processing shortcome of LabVIEW, which is inconvenience in using LabVIEW during databases interface realization. This paper mainly introduces how to realize interface design between LabVIEW and database. As well as introducing ADO technique how to carry out LabVIEW visiting databases. Because design transplantation is stronger, so, system has broad function and application foreground.
AR Parameters-Based Nonlinear Blind Source Extraction
Authors: Cai Ying , Wang Gang
Published: January 2010

In nonlinear blind source separation (BSS) independence is not sufficient to recover the original source signal and additional criteria are needed to sufficiently constrain the optimization problem. Here we introduce autoregressive (AR) parameters as criteria and combined with expansion space develop a new method, which lead to a unique solution of the nonlinear BSS problem. The proposed method is based on two key assumptions. One lies in that a source signal’s AR parameters can be roughly estimated before operation, and the other is that expansion space, such as kernel feature space, should be chosen rich enough to approximate the nonlinearity. This method can extract the desired source signal as a unique solution with the help of this signal’s AR parameter, or it extracts one signal at one time. Thus it is also referred to as nonlinear blind source extraction (BSE). Its performance is demonstrated on nonlinearly mixed speech data.
Towards Dynamic Voltage/Frequency Scaling for Power Reduction in Data Centers
Authors: Jiang Cong Feng , Zhao Ying Hui , Wan Jian
Published: January 2010

Higher power consumption in data centers results in more heat dissipation, cooling costs and degrades the system reliability. Conventional power reduction techniques such as dynamic voltage/frequency scaling (DVS/DFS) have disadvantages when they are ported to current data centers with virtualization deployments. In this paper, we give a short survey and discussion on some issues and aspects of DVS/DFS in data centers. This paper also presents a simple comparison of four power management schemes in virtualization environments.
Preparation and Properties of Sodium Carboxymethyl Cellulose-Hyaluronic Acid-Carboxymethyl Chitosan Blend
Authors: Zhao Xi Hong , He Xiao Wei , Xie Shi Qi , Yang Lian Sheng
Published: January 2010

The Sodium carboxymethyl cellulose (CMC)-Hyaluronic acid (HA)-Carboxymethyl chitosan (CMCS) blend films were prepared by solution method, and then characterized by FT-IR,XRD,SEM and water absorption capability. The results suggested that there were strong molecular interaction and good compatibility in the blend films. The blend films are expected to be used as controllable degradation biomaterials in the field of postsurgical hemostasis and anti-adhesion.
The Research on Path Planning Algorithm of RoboCup Based on PFNPGA
Authors: Cheng Xian Yi , Zhu Qian , Zhang Zhen Wen
Published: January 2010

To improve the poor efficiency in path planning that caused by not taking RoboCup’s stamina, character, dynamic starting point, dynamic endpoint and other factors into consideration in the path planning process, the RoboCup path planning is generalized as a multi-objective optimization problem in the paper, and proposes RoboCup’s sport model with dynamic multi-objective path planning which is based on RoboCup’s stamina triple model, and a path planning algorithm that is suited for RoboCup is advanced based on PFNPGA ( Penalty Function Niche Pareto Genetic Algorithm）. The experiment in a real environment shows that, by comparing with traditional path planning methods, the algorithm in the paper can get more reasonable path at the premise of guarantee RoboCup have relative high stamina values.
Effect of Extension Coefficient on H-Beam Deformation
Authors: Feng Xian Zhang , Li Qun
Published: January 2010

In order to research the effect of metal flow between web and flange, the concept of extension coefficient used to judge the deformation degree for rolling H-beam, through the method of changing the extension coefficient, the finite element model was established by the platform of CAD software. Defining boundary conditions, geometric properties and contact situation, and input initial conditions based on the model. It can gain the displacement cloud map and displacement curves of the model by computer simulation. Based on the simulation results, studying the effects of different extension coefficient on metal flowing between flange and web, as well as the qualitative relations of extension coefficient between flange and web. The results showed that with the enlargement of extension coefficient, the metal flowing between web and flange would be more obvious, while the definite feature relation between web and flange can get better effects with the condition that the extension coefficient of flange is large than that of the web.
Artificial Neural Networks in Materials Science Application
Authors: Zhang Wen Yu
Published: January 2010

Because but the artificial neural networks has the strong non-linear problem handling ability also the fault tolerance strong obtains the widespread application in the materials science.This article to its material design, the material preparation craft optimizes, the plastic processing, the heat treatment, the compound materials, corrode, domain and so on casting applications have carried on the discussion.
Facial Expression Recognition Based on Features Fusion
Authors: Zhou Chang Jun , Wei Xiao Peng , Zhang Qiang
Published: January 2010

In this paper, we propose a novel algorithm for facial recognition based on features fusion in support vector machine (SVM). First, some local features and global features from pre-processed face images are obtained. The global features are obtained by making use of singular value decomposition (SVD). At the same time, the local features are obtained by utilizing principal component analysis (PCA) to extract the principal Gabor features. Finally, the feature vectors which are fused with global and local features are used to train SVM to realize the face expression recognition, and the computer simulation illustrates the effectivity of this method on the JAFFE database.
Applied Research on FMS with UML-OOPN Integration Modeling Method
Authors: Wang Zhong , Chen Ming Rui , Fu Xing
Published: January 2010

Base on the characteristic of the system, a model of FMS (Flexible Manufacturing System) is carried on in this paper by combining with the merit of OOPN (Object-Oriented Petri Nets) and UML (Unified Modeling Language). The static structure of FMS is described with UML, but for the dynamic characteristics of the system we complete with object-oriented petri nets, and then the system Petri net model was transform into the UML state diagrams and sequence diagrams according to the corresponding mapping and the transformation rule, thus we obtain a integrity model of the system while improving the reliability of the model.
The Application of UG NX Second Development in Centrifugal Pump Impeller Vane 3D Solid Modeling
Authors: Wei Xiu Ting , Du Qiang , Liu Jing Cheng
Published: January 2010

The hydraulic model of the impeller and points of its vane surface given in the cylindrical coordinates, we can not directly use those data to accomplish the 3D solid modeling of the impeller in CAD systems. Based the Access and the UG NX, this paper puts forwards a new method for modeling centrifugal pump impeller vanes and presents the implementing procedure. And the method includes the following steps: 1) defining the data structure of hydraulic models; 2)converting the vane surface data from the cylindrical coordinate system to the cartesian coordinate system; 3)constructing the vane’s working surface and back surface along the axial transversals; 4) accomplishing the impeller’s 3D solid model by UG NX Second Development. The practical application demonstrates that the proposed method can shorten the cycle of impeller modeling and improve the design precision.
Design and Realization of Automatic Weather Station Based on Embedded Linux Operating System
Authors: Niu Zhi Qiang , Wang Bao Qiang , Zhen Xiao Qiong
Published: January 2010

In this paper, the design ideas including the software and the hardware such as key electric circuits of the automatic weather station based on embedded Linux operating system are introduced. The high resolution ADC (analog-to-digital convertor) is used to achieving data characters. The system based on the bus structure makes the system can be connected with various weather sensors. Any substitution of the weather sensors neither need to change the software nor the hardware of main collector. Not only the program source codes are given, but also some essential problems which should be paid attention are suggested. Practical application shows that this system has advantages such as high precision，high stability, low power consumption. Experimental results proof that the system is accordance with the design criteria of the second-generation automatic weather station in China.
Color Calibration of Remote Sensing Imagery Based on Orthogonal Space Transformation
Authors: Chen Xu , Zhang Ya Ping
Published: January 2010

Due to different atmospheric conditions, seasonal changes in vegetation characteristics and other reasons, the remote sensing images captured at different time may be quite different in color, brightness and so on. In this paper, coupled with statistics classification, three common orthogonal space transformations were used to calibrate the color difference respectively. Compared with conventional methods such as the overlapping region correction and histogram matching, the results show that orthogonal transform could achieve better correction effects. The lαβ transform gets the best corrected result among three orthogonal space transform methods.
A New Method on Matching Correspondence Features in Image Warping
Authors: Hu Zhi Ping , He Yuan Jun
Published: January 2010

This paper introduces a robust method for automatically matching features in images corresponding to the same physical point on an object captured from two arbitrary viewpoints. Starting from detected line segments in two or more images using phase congruency, the pairs of line segments are characterized by indices that encode the relative positions and orientations of those segments. The encoding indices are invariant with respect to viewpoint changes and the corresponding line segments between the images can be found by them. The feature matching is optimized for image warping where we wish to ignore unreliable matches at the expense of reducing the number of feature matches. This approach can be applied to the image warping to realize its automatism. Results are presented on real images.
Real-Time Eye Locating and Tracking for Driver Fatigue Detection
Authors: Li Ya Li , Hu Bin , Wang Sheng Jin , Ding Xiao Qing
Published: January 2010

Assistant driving systems have attracted more and more attention during recent years.
Among them fatigue detection plays a key role because of its close relationship with accidents. In this
paper, we propose a novel method which uses eye locating and tracking technique to detect driver
fatigue. The present method consists of four steps. First, we employ Adaboost and Haar-like features
to construct a robust classifier which can detect eye corner points. Second, we use extended parabolic
Hough transformation to construct the parabola curves of upper and lower eyelid. Then, particle filter
algorithm is used to track eye corner points in video sequences. Finally, the driver fatigue state is
estimated through computing the frequency of eye opening and closing intervals. Experimental
results from real environment datasets are given in our discussion as well.
Application Study on Metal Forging Technology of Square Block Based on DEFORM
Authors: Kuang Wei Hua , Chen Biao Biao
Published: January 2010

Much progress has achieved in forging technology, and it has become a popular process for preparation of intricate parts. As a case, a finite element model of the square block forging process was established by DEFORM software. The deformation, distribution and development trend of velocity, mean stress, equivalent strain and equivalent strain rate were predicted. The load-time variation curves in X, Y and Z direction were obtained too. Based on the numerical simulation result, we had a better understanding of the forging process.
Effects of Positions of Thermistors on the Airflow Accelarater Output by 3D Finite Element Analysis
Authors: Li Yan Jie , Piao Lin Hua
Published: January 2010

With the method of FEA (finite element analysis), the distribution of temperature field in sense organ at different arrangements of hot-resistances and different accelerations, were obtained by building the three-dimensional model of airflow acceleration sensor’s sense organ.The results are asfollows: When the acceleration is not same, the temperature field distribution near the wires is different; The difference of temperature of 2 symmetry detection thermistors ΔT has also changed. If not beyond the measurement range, The more close to the heat flow center,the greater temperature difference between the two hot-resistances,and the greater output of voltage.
Experimental Study on Pyroshock Responses of a Conical Shell
Authors: Mao Yong Jian , Yue Xiao Hong , Huang Hai Ying , Niu Bao Liang , Huang Han Jun
Published: January 2010

In space engineering, pyroshock (or pyrotechnical shock) environments induced by pyrotechnical devices are severe for space hardware, especially the inner electrical components. Thus pyroshock responses need to be well considered in the design and manufacture of a space structure or system. Because of the lack of efficient analytical technique, laboratory tests are of importance at present. This paper experimentally studies the pyroshock responses of a conical aeroshell. Two experiments were performed by ignitions of true pyrotechnical devices. A number of acceleration histories were measured and the corresponding shock response spectrums (SRSs) were analyzed. The results show that the responses, not only in time domain but also in frequency domain, have significant decaying characteristics along the axial distance from the pyroshock sources. The quantitative results provide us a good understanding of local environments for design of the components and the corresponding installations.
Research on Video Sequences Quality Based on Motion Intensity
Authors: Yang Chun Ting , Liu Yang , Yu Jing
Published: January 2010

Perception video sequences quality metrics are of great potential benefit to the video industry, as they promise the means to evaluate the performance of acquisition, display, coding and communication systems. Many researchers have focused on developing digital video sequences quality metrics which produce results that accurately emulate subjective responses. However, to be widely applicable a metric must also work over a wide range of quality, and be useful for in-service quality monitoring. We have developed novel video distortion metrics for video sequences. The temporal correlations of video frames and the visual interest feature are considered in this method. Meanwhile the metrics are capable of capturing spatial distortions in video sequences. The metrics correlate well with subjective video transmission quality measures because perception distortions of human were took account of. Results are presented that demonstrate our perceptual quality metric performs better than existing methods.
Practicing for Business Intelligence Application with SQL Server 2008
Authors: Ren Zhi Jun
Published: January 2010

Successful business intelligence application used by an enterprise often produces a very high return on investment. This paper introduces the application of best practices to business intelligence infrastructure with SQL Server 2008.
Flight Control System Onboard Embedded Software for Small Unmanned Aerial Vehicles
Authors: Rao Jin Jun , Gao Tong Yue , Jiang Zhen , Gong Zhen Bang
Published: January 2010

The onboard software of the flight control system (FCS) plays important role for small unmanned aerial vehicles’ performance. In this paper, the characteristics difficulties of the FCS software are analyzed firstly, then the compositions of the software are introduced using HIPO method. A genetic architecture of onboard software is presented to coordinate and organize the software and function modules, and an unique task scheduling strategy is designed and applied to realize multi-task processing. Finally, on the basis of the elementary operation procedure of the software, the flight experiment is implemented, and the feasibility and reliability of the onboard software is validated.
A Method of Web Information Automatic Extraction Based on XML
Authors: Gu Jun Hua , Song Jie , Zhang Na , Liu Yan Liu
Published: January 2010

With the increasingly high-speed of the internet as well as the increase in the amount of data it contains, users are finding it more and more difficult to gain useful information from the web. How to extract accurate information from the Web efficiently has become an urgent problem. Web information extraction technology has emerged to solve this kind of problem. The method of Web information auto-extraction based on XML is designed through standardizing the HTML document using data translation algorism, forming an extracting rule base by learning the XPath expression of samples, and using extraction rule base to realize auto-extraction of pages of same kind. The results show that this approach should lead to a higher recall ratio and precision ratio, and the result should have a self-description, making it convenient for founding data extraction system of each domain.
Study on Improved Ant Colony Algorithm in Dynamic Multi-Paths Route Guidance System
Authors: Gu Jun Hua , Liu En Hai , Liu Yan Liu , Zhang Na
Published: January 2010

The traditional Dynamic Route Guidance System (DRGS) provides only the optimal path to the travelers, which may easily lead to aggregative response of the travelers and overcrowding drift. This paper presents an approach based on Ant Colony Optimization (ACO) for solving the k-shortest paths problem in DRGS. In order to improve the convergence rate, the basic ACO is improved by introducing direction function the weight coefficient of which can be adjusted to vary state transition rule and standardized transformation to eliminate the influence of the size and dimension of pheromone and heuristic information. Compared with basic ACO, simulation experiments indicate that the improved ACO is more effective and efficient.
On Inversion Algorithms over Optimal Extension Fields Using Lagrange Representation
Authors: Qi Ming Long , Zhong Luo , Guo Qing Ping
Published: January 2010

We present, illustrate and analyze some basic notions of the Lagrange Representation (LR) over finite fields, and elementary theory of Optimal Extension Fields. In combining the Lagrange Representation theory and the Frobenius mapping theorem, we could establish an inversion algorithm in the LR version. Our contribution is of adapting an addition-chain-like method over an Optimal Extension Field to the Lagrange Representation.
The Study on the Construction of Enterprise Strategic Information System
Authors: Yang Jing
Published: January 2010

With the transformation of the understandings from technology-oriented information management mode to competition-oriented information management mode, SIS emerges as the times require. SIS is the outcome of the integration of modern information technology and business management concept according to the demands of competition and development. This paper has discussed the creation, background, structure, function and planning of SIS.
Application of Fuzzy Cluster Analysis in the Judgment of the Aluminum Electrolyzer’s Status
Authors: Hu Li Qing , Lin Man Shan
Published: January 2010

Clustering analysis is an important research area of Data Mining; it is a mathematical method to classification in terms of certain demand and rules. In this paper, the authors have applied fuzzy theory to the clustering analysis, and introduce data mining technology to the electrolytic control, and Carry on the excavation analysis of a variety of data produced by the control system, and then analyze the clustering result. Thus it achieves Electrolyzer’s condition diagnosis and production decision-making functions, and then achieves standardization of electrolyzer operation.
Research on Vibration and Shock-Proof Technology of Silicon Micro-Machined Gyroscope
Authors: Zhang Fu Xue , Yan Qing Wen , Wu Li Feng
Published: January 2010

A silicon micro-machined gyroscope without the driven conformation is introduced. The
structure of the silicon micro-machined gyroscope are researched and designed to withstand
vibration and shock at the request of the rotation carrier. The different methods including changing
the epoxy resin and sealing shell with laser are carried out and proofed by experiment verification.
The Analysis on the Parasitic Capacitors Effect of the Fully Differential Architecture of SAR ADC
Authors: Sun Lei , Dai Qin Yuan , Lee Chuang Chuan , Qiao Gao Shuai
Published: January 2010

This paper presents an analysis on the parasitic capacitors effect of the fully differential architecture to provide common-mode rejection. The parasitic capacitors of differential comparator inputs has no effect on the resolution, however, the difference of comparator input parasitic capacitors may has great effect on the resolution. The relationship between the unity capacitor and the parasitic capacitors of the differential comparator inputs is analyzed by giving precise theoretical demonstration. Therefore, a theoretical basis is provided for designers to choose appropriate unity capacitor, process and layout in the design of SAR SAD with fully differential structure.
The Influence of Damping Coefficient on Vibration Characteristic of a Rub-Impact Rotor under Axial Thrust
Authors: An Xue Li , Jiang Dong Xiang , Liu Chao , Zhao Ming Hao
Published: January 2010

A model of a rub-impact rotor system under axial thrust is established based on the classic impact theory and analyzed by the Lagrangian dynamics and bifurcation theories. The rubbing condition is modeled using the impact-contact idealization, which consists of normal and tangential forces at the rotor-to-stator contact point. The effects of lateral damping and rotor rotating speed on the rotor system response are investigated in detail. It is demonstrated that the system goes through an extraordinary route to bifurcation. Periodic, quasi-periodic and chaotic motions are found as the system parameters change.
Research on Image Super-Resolution Reconstruction Based on BPNN and RBFNN
Authors: Zhu Fu Zhen , Li Jin Zong , Zhu Bing , Li Dong Dong , Ma Dong Dong
Published: January 2010

To overcome inherent resolution limitation of imaging system and provide a high resolution satellite image economically and practically, the paper researched on image super-resolution reconstruction (SRR) based on BPNN and RBFNN. Learning sample images are obtained according to image observation model, input/output mapping pairs are formed by way of vector mappings, and then two NN models of SRR are established respectively. Simulation and generalization tests are carried on the BPNN and RBFNN respectively. Results indicate that reconstruction performance of BPNN is better than that of RBFNN in aspect of reconstruction time-consuming, convergence speed and effect of SRR in generalization tests, although those parameters are better in simulation tests of RBFNN. So BPNN is more suitable for project applications of image super-resolution reconstruction.
Bridge Crane Load Spectrum Distribution Good-of-Fit Testing
Authors: Wang Ai Hong , Xu Ge Ning , Gao You Shan , Yang Ping
Published: January 2010

Six distribution model tested by D、A2、W2 statistics of 249 bridge crane load spectrum sample in a week. The results show that distribution model hypothesis, distribution testing methods, significant level all impact the testing results. Three-parameter Weibull distribution fit the bridge crane load spectrum best compared with the other distribution model.
The ANN Method of Obtaining Fatigue Load Spectrum of Overhead Traveling Crane
Authors: Xu Ge Ning , Fan Xiao Ning , Lu Feng Yi , Yang Rui Gang
Published: January 2010

For the realization of remaining fatigue life estimation, prevention of catastrophic accidents and safety of the cranes in service, it is necessary to obtain the actual load spectrum of overhead traveling crane. Due to the limitation of condition in field experiment, it is difficult to implement a large number of actual Load Spectrum experiments. So, the present paper will focus on overhead traveling cranes for general purpose and conduct data investigation. In a certain period，the numbers of work cycles corresponding to different lifting loads for different rated lifting capacity are collected. Based on Levenberg-Marquardt Back Propagation(LMBP) Artificial Neural Network(ANN), the equivalent load spectrum, which is equivalent to the actual load spectrum, is acquired. The example demonstrates: It is feasible to establish the equivalent load spectrum for some types of crane using ANN. Meanwhile, the equivalent load spectrums of the typical cranes in this type could be obtained and predicted through the trained network. It has provided the reliable data for the reliability analysis and fatigue life estimation of the crane. In the approach to establish the crane load spectrum, an exploring and initiating study work have been done.
Scheme Optimization in Key Management with Cryptograph Methods
Authors: Zhou Xuan Wu
Published: January 2010

System optimization for key management is an essential method to facilitate the wide application of key management in cryptography protocols. In the paper, we presented a threshold recovering algorithm for key distribution protocols. In the algorithm, the private keys from KGC (Key Generating Center) is encrypted and then shared among the applier members. The attack on the encrypted private keys and the threshold scheme proves computationally infeasible with exponent complexity. Besides, the threshold recovering algorithm is independent of the KGC without leakage of private information of the subgroup; therefore the threshold recovering of private keys renders effective protection for the secrecy of private parameters and applier identity. As to the efficiency of key management algorithms, we presented improved authenticated encryption scheme for key management. In the scheme, the secret transmission of essential parameters is reinforced with integrity and authenticity verification algorithms in an integrated mode; thus greatly improves the efficiency of key management.
31P MRS Data Analysis of Liver Cancer Based on Neural Networks
Authors: Liu Qiang , Wang Ning , Liu Yi Hui , Wang Shao Qing , Cheng Jin Yong , Yu Dong Yue , Chen Jie
Published: January 2010

31P MRS(31Phosphorus Magnetic Resonance Spectroscopy) is a non invasive protocol
for analyzing the energetic metabolism and biomedical changes in cellular level. Evaluation of 31P
MRS is important in diagnosis and treatment of many hepatic diseases. In this paper, we apply
back-propagation neural network (BP) and self-organizing map (SOM) neural network to analyze
31P MRS data to distinguish three diagnostic classes of cancer, normal and cirrhosis tissue. 66
samples of 31P MRS data are selected including cancer, normal and cirrhosis tissue. Four
experiments are carried out. Good performance is achieved with limited samples. Experimental
results prove that neural network models based on 31P MRS data offer an alternative and promising
technique for diagnostic prediction of liver cancer in vivo.
Test Generation for Glitch Faults of Crosstalk Effects in Digital Circuits Based on Genetic Algorithm with Niche
Authors: Pan Zhong Liang , Chen Ling
Published: January 2010

The more signal path ways close to each other in digital circuits, the greater the coupling
effects. The coupling effects can led to an increasing number of signal integrity related faults such as
crosstalk faults. In this paper, the glitch faults of crosstalk effects are studied. First of all, the test
vector generation using signal paths of circuits is given. Secondly, a new test method for crosstalk
faults in digital circuits is presented, which is based on the genetic algorithm with niche. The test
method can detect the maximal crosstalk effects, i.e. the test vectors to be produced is to switch a set
of aggressors that maximizes the switching of total coupling effects. The test method is also used to
produce the test vectors of multiple crosstalk faults. The experimental results show that the method
proposed in this paper can get the test vectors of the multiple crosstalk faults if the faults are testable.
The Research of Two-Dimensional Probability Hyper-Chaotic Mapping Newton Iterative Method to Mechanism Synthesis
Authors: Luo You Xin , Zeng Bin
Published: January 2010

Many questions in natural science and engineering are transformed into nonlinear equations to be found. Newton iterative method is an important technique to one dimensional and multidimensional variables and iterative process exhibits sensitive dependence on initial guess point. The probability characteristic of hyper-chaotic sequences produced by two dimensional hyper-chaotic discrete systems was analyzed. For the first time, a new method to find all solutions based on utilizing　two dimensional probability hyper-chaotic discrete mapping to obtain initial points to find all solutions of the nonlinear questions was proposed. The numerical examples in linkage synthesis and approximate synthesis show that the method is correct and effective.
Research on Setting Parameter of Deblocking Filter for H.264
Authors: Wang Jin Tao , Lu Yong Quan , Qiu Chu , Gao Peng Dong , Fu Jie , Yu Wen Hua
Published: January 2010

The emerging coding standard H.264 is mainly intended for video transmission in many
areas. Considering the peculiarity of blocking artifacts which results from block based transform
using DCT (discrete cosine transform ) that is most popular method for video coding. These
blocking which is due to deficiency of correlation between blocks has much troublesome impact at
low bit rate encoding. In this paper, we analyzed the performance of common deblocking filter
within H.264 standard, investigated the principle of parameter setting for deblocking filter in an
open source code(x264). The outputs of deblocking filter depend on the boundary strength
parameter “BS” and the gradient of image samples across the boundary [1]. Usually the filter
parameters αc and β were specified a default value zero during x264 running, but in fact selecting
different values have a significant effect in the view of image quality. The two statistical parameters
of Gray Level co-occurrence Matrix (GLCM), energy and entropy, were used to evaluate the texture
of each video picture, and then specify appropriate values for the filter parameters αc and β. We
may appraise the effect of deblocking in terms of calculating Mean Squared Difference of Slope
(MSDS) for each video frame. In the end of this paper, the experimental results show that our
approach, comparing with existing deblocking techniques, is one of the significant methods for
reducing blocking artifacts.
The Application Research of Rough Set on Customer Risk
Authors: Guan Hong Jun
Published: January 2010

As an important role of supply chain, management impact deeply on the efficiency of the supply chain. This article first introduced the relational theory of rough set, then described the application on the customer risk management based on the analysis of a large number of historical transactions, gave the realization of computer program, and detailed the practical application. It has greatly proved the effective of the theory.
The Mixed Fast Multipole Boundary Element Method for Solving Strip Cold Rolling Process
Authors: Gui Hai Lian , Huang Qing Xue
Published: January 2010

Based on fast multipole boundary element method (FM-BEM) and mixed variational inequality, a new numerical method named mixed fast multipole boundary element method (MFM-BEM) was presented in this paper for solving three-dimensional elastic-plastic contact problems. Mixed boundary integral equation (MBIE) was the foundation of MFM-BEM and obtained by mixed variational inequality. In order to adapt the requirement of fast multipole method (FMM), Taylor series expansion was used in discrete MBIE. In MFM-BEM the calculation time was significant decreased, the calculation accuracy and continuity was also improved. These merits of MFM-BEM were demonstrated in numerical examples. MFM-BEM has broad application prospects and will take an important role in solving large-scale engineering problems.
Design and Implementation of a Phase-Coded Quasi-CW Radar Signal Processor
Authors: Wang Chao , Su Feng , Han Yun Peng
Published: January 2010

A pseudo-random phase-coded quasi-CW radar signal processor is designed，and implemented based on a parallel signal processing platform. Distance sidelobe and “echo eclipse” are two problems inherent to the phase-coded quasi-CW radar. In this paper, “Code agility” method is used to suppress the distance sidelobe, which has good performance even when the radar echo is badly eclipsed. Software of the radar signal processor is characterized by pipelined processing, and the DSP program is based on real-time operation system. Results of the field experiment verify the correctness of our design.
The Study on the Framework of Wireless Network System
Authors: Ji Xue Qing
Published: January 2010

From several basic frameworks wireless network system, a new type of system framework was designed. Its conformation of optics system and achievement by module were described particularly through using Fresnel lens system. This system’s link could be transformed between directed LOS link and non-directed LOS link, which made the system communicate at a high-speed when there were no barriers between the emitter and receiver and keep a good convexity when barriers appeared. At last what should be noted for the analogue simulation was brought up.
Temperature Identification of Electrical Heating Furnace Based on Elman Network Combined with Improved PSO
Authors: Ding Shan , Yin Yixin , Huang Wei , Dong Jie , Ma Xue Ming
Published: January 2010

A temperature model of the electrical heating furnace which is commonly used in industry is built by means of Elman neural network combined with an improved particle swarm optimization (IPSO). The input is duty cycle, and IPSO is used to optimize the weights and threshold values of Elman neural network to improve convergence capability and generalization performance of Elman network. Results show that the method performs better than ordinary Elman network in convergence speed and accuracy.
Product Life Cycle of Automobile Parts Concerning Piracy
Authors: Zhang Shan Shan , Zhu Chang An , Wang Jing Shu , Sun Li Ting
Published: January 2010

Based on data from internet, investigation was conducted to verify the relationship between the ratio of fake parts and the number of automobile holdings. A complete information game was modeled to reveal the impact of piracy on product life cycle of automobile parts. Numerical analysis showed that automobile manufacturers, threatened by piracy, may get maximum profits by appropriate regenerating key parts.
A Novel Human Pose Detection from Videos Algorithm Based on Motion Capture Data
Authors: Yi Ou Yang
Published: January 2010

This video image of static background frame and deduction, the pixel, pixels for sports change monitoring and static pixels. By combining the feature of deformation of human body positioning movement of template, the human body pose detection algorithm put in spatio-temporal detection to human pose recognition using feature matching, accelerate matching speed probability. This method in the testing result is superior to other pose recognition algorithm, and also has the ability to quickly identify.