bluuebunny/crossref_metadata_2025 huggingface dataset:
Proteinase-activated Receptor-2 Gene Disruption Limits the Effect of Osteoarthritis on Cartilage in Mice: A Novel Target in Joint Degradation
Authors: AMIABLE NATHALIE , MARTEL-PELLETIER JOHANNE , LUSSIER BERTRAND , KWAN TAT STEEVE , PELLETIER JEAN-PIERRE , BOILEAU CHRISTELLE
Published: February 2011

Objective.

Evidence indicates that proteinase-activated receptor (PAR)-2 participates in the degradative processes of human osteoarthritis (OA). We evaluated thein vivoeffect of PAR-2 on articular lesions in a PAR-2-knockout (KO) mouse model of OA.

Methods.

OA was surgically induced by destabilization of the medial meniscus of the right knee in C57Bl/6 wild-type (WT) and PAR-2 KO mice. Knee swelling was measured throughout the duration of the study (8 weeks postsurgery) and histologic evaluation of cartilage was done to assess structure, cellularity, matrix staining, and remodeling in the deep zone. Morphometric analysis of subchondral bone was also performed.

Results.

Data showed significant knee swelling in the operated WT mice immediately following surgery, which increased with time (8 weeks post-surgery). Knee swelling was significantly lower (p ≤ 0.0001) in PAR-2 KO mice than in WT mice at both 4 and 8 weeks postsurgery. Cartilage damage was found in both operated WT and PAR-2 KO mice; however, lesions were significantly less severe (global score; p ≤ 0.05) in the PAR-2 KO mice at 4 weeks postsurgery. Operated WT mice showed reduced subchondral bone surface and trabecular thickness with significance reached at 4 weeks (p ≤ 0.03 and p ≤ 0.05, respectively), while PAR-2 KO mice demonstrated a gradual increase in subchondral bone surface with significance reached at 8 weeks (p ≤ 0.007).

Conclusion.

We demonstrated thein vivoimplication of PAR-2 in the development of experimental OA, thus confirming its involvement in OA joint structural changes and reinforcing the therapeutic potential of a PAR-2 antagonist for treatment of OA.
Role of rs1343151 IL23R and rs3790567 IL12RB2 Polymorphisms in Biopsy-proven Giant Cell Arteritis
Authors: RODRÍGUEZ-RODRÍGUEZ LUIS , CARMONA FRANCISCO D. , CASTAÑEDA SANTOS , MIRANDA-FILLOY JOSÉ A. , MORADO INMACULADA C. , NARVÁEZ JAVIER , MARÍ-ALFONSO BEATRIZ , GÓMEZ-VAQUERO CARMEN , AMIGO-DÍAZ ENCARNACIÓN , RÍOS-FERNÁNDEZ RAQUEL , BLANCO RICARDO , LLORCA JAVIER , FERNÁNDEZ-GUTIÉRREZ BENJAMÍN , MARTÍN JAVIER , GONZÁLEZ-GAY MIGUEL A.
Published: February 2011

Objective.

To assess the potential association between the rs1343151 IL23R and the rs3790567 IL12RB2 polymorphisms and giant cell arteritis (GCA). We also studied whether these polymorphisms might influence the phenotypic expression of GCA.

Methods.

In total, 357 Spanish patients with biopsy-proven GCA and 574 matched controls were assessed. DNA from patients and controls was obtained from peripheral blood. Samples were genotyped for the rs1343151 IL23R and the rs3790567 IL12RB2 polymorphisms using a predesigned TaqMan allele discrimination assay and by polymerase chain reaction amplification.

Results.

Regarding the rs1343151 IL23R polymorphism, no significant differences in the genotype or allele frequencies between GCA patients and healthy controls were observed. The frequency of the minor allele A of the rs3790567 IL12RB2 variant was increased in GCA patients compared with controls (30.1% vs 25.7%, respectively; p = 0.039, OR 1.25, 95% CI 1.01–1.54). An increased frequency of subjects carrying the minor allele A (GA+AA genotypes) of the rs3790567 IL12RB2 polymorphism was found among GCA patients compared with controls (52.8% vs 44.4%; p = 0.013, OR 1.40, 95% CI 1.06–1.85). Although a higher frequency of the combination of minor alleles (A-A) in the subgroup of patients with visual ischemic complications compared with the combination of both major alleles (G-G; p = 0.029) or with the other allelic combinations (p = 0.035) was found, logistic regression analysis showed that this association was no longer significant after adjustment for potential confounding factors (A-A vs G-G: OR 2.10, 95% CI 0.88–5.04, p = 0.096).

Conclusion.

Our results support a potential influence of the rs3790567 IL12RB2 polymorphism in the pathogenesis of GCA.
Botulinum Toxin for Shoulder Pain: A Cochrane Systematic Review
Authors: SINGH JASVINDER A. , FITZGERALD PATRICK M.
Published: February 2011

Objective.

To perform a Cochrane Systematic Review of benefits and harms of botulinum toxin for shoulder pain.

Methods.

We included clinical trials of adults with shoulder pain (population), comparing botulinum toxin (intervention) to placebo or other therapies (comparison), and reporting benefits or harms (outcomes). We calculated relative risk (RR) for categorical outcomes and mean differences (MD) for continuous outcomes.

Results.

Six randomized controlled trials (RCT) with 164 patients all comparing single botulinum toxin type A injections to placebo were included. Five RCT in patients with post-stroke shoulder pain found that an intramuscular injection of botulinum toxin type A significantly reduced pain at 3–6 months (MD −1.2 points on 0–10 scale, 95% CI −2.4 to −0.07) and improved shoulder external rotation at 1 month (MD 9.8°, 95% CI 0.2° to 19.4°). Number of adverse events did not differ between groups (RR 1.46, 95% CI 0.6 to 24.3). One RCT in arthritis-related shoulder pain showed that single intraarticular botulinum toxin type A injection reduced pain (MD −2.0 on 0–10 scale, 95% CI −3.7 to −0.3) and shoulder disability (MD −13.4 on 0–100 scale, 95% CI −24.9 to −1.9) and improved shoulder abduction (MD 13.8°, 95% CI 3.2° to 44.0°) at 1 month, compared with placebo. Serious adverse events did not differ between groups (RR 0.35, 95% CI 0.11, 1.12).

Conclusion.

With evidence from few studies with small sample sizes and medium to high risk of bias, botulinum toxin type A injections decreased pain and improved shoulder function in patients with chronic shoulder pain due to spastic hemiplegia or arthritis.
Los hallazgos de armas en los campamentos romanos alrededor de Numancia
Authors: Luik Martin
Published: February 2011

Este artículo pretende ofrecer un panorama general de los hallazgos de armas en los campamentos romanos alrededor de Numancia (línea de circunvalación en torno al oppidum, Renieblas). Los descubrimientos proceden casi en su totalidad de las excavaciones que se realizaron en los años 1906 a 1912 bajo la dirección de Adolf Schulten. Desde entonces, sólo hay que sumar algunos hallazgos aislados. La totalidad de los objetos ha sido documentada y sometida a un nuevo estudio científico y, finalmente, se presentó en forma de monografía en el año 2002 (Luik, 2002 con resumen español: 173-sq). En general, llama la atención la reducida proporción de armas defensivas (corazas de discos, cotas de malla, umbo de escudos). Por el contrario, las armas ofensivas y arrojadizas están ampliamente representadas: puntas de lanzas, pila de lengüeta y de enmangue tubular y los más variados tipos de puntas de proyectiles. Menos representadas se hallan, en cambio, las espadas y los puñales, junto con sus accesorios correspondientes. En suma, los presentes hallazgos ofrecen buena muestra de los pertrechos y de las armas del ejército romano de la República tardía. Al mismo tiempo, los hallazgos brindan también información sobre la estructura interna del ejército romano de esta época.

[fr] Cet article entend présenter un panorama general des trouvailles d’armes sur le site des camps romains autour de Numance, tant sur la circonvallation entourant l’oppidum lui-même qu’à Renieblas. Dans leur quasi-totalité, les découvertes remontent aux fouilles menées entre 1906 et 1912 sous la direction d’Adolf Schulten. Depuis lors, on ne compte que quelques trouvailles isolées. La totalité des objets a été cataloguée et a fait l’objet d’un réexamen scientifi que, publié sous forme de monographie en 2002 (Luik, 2002, avec résumé en espagnol: 173 sq.). D’une façon générale, on y note la faible proportion d’armes défensives (disques-cuirasses, cotes de mailles, umbos de boucliers). Au contraire, les armes offensives, et notamment les armes de jet, sont abondamment représentées : pointes de lances, pila à soie ou à douille, ainsi que toutes sortes de pointes de projectiles. En revanche, les épées et les poignards, ainsi que leurs accessoires, sont peu nombreux. Ainsi, le matériel numantin offre un échantillon assez représentatif des armes de l’armée romaine de la République tardive. Dans le même temps, ces trouvailles nous apportent aussi des informations sur la structuration interne de l’armée romaine de cette époque.
Moneda ibérica y gens mariana (107-90 a.C.)
Authors: López Sánchez Fernando
Published: February 2011

La división entre reversos domi/jinete con palma y militiae/jinete armado en la moneda (celt)ibérica permite afi rmar que algunas cecas hispanas se corresponden con campamentos militares. Así, los denarios Ikale(n)sken deben ponerse en relación con las tropas enviadas por Kese hacia Córdoba en apoyo de Sertorio (97-93 a.C.). Los denarios Sekobirikes, por su parte, son las monedas de las tropas de Sekaisa en territorio arévaco con T. Didio y V. Flaco (98-92 a.C.). Las series catalanas en bronce se corresponden todas con el inicio del Bellum Sociale (90 a.C.). Roma luchó en Hispania durante el siglo II a.C. por invitación de ciudades como Segeda-Sekaisa, amenazadas por enemigos demasiado poderosos. Los ejércitos (celt)ibéricos combatían a la romana en tiempos de Mario. La moneda (celt)ibérica clásica fue toda ella acuñada entre los años 107 y 90 a.C. Refleja, no la conquista romana de Hispania, sino la conformación de una rama hispana del ejército romano.

[fr] La représentation des branches de palmiers (domi) et des armes (militiae) sur le type de revers monétaire au cavalier ibérique permet d’affi rmer la relation de certaines frappes monétaires hispaniques avec des campements militaires. Ainsi, les deniers Ikale(n)sken peuvent être mis en relation avec les troupes envoyées par Kese à Cordoue pour venir en aide à Sertorius (97-93 avant J.-C.). Les deniers Sekobirikes sont, de leur côté, les monnaies des cavaliers de Sekaisa installés en terre arévaque par T. Didius et V. Flaccus (98-82 avant J.-C.). Les séries catalanes en bronze sont toutes contemporaines du début du Bellum Sociale (90 avant J.-C.). Au cours du IIe s. a.C., Rome intervint militairement dans la péninsule Ibérique sur invitation de cités telles que Segeda-Sekaisa, aux prises avec des voisins plus puissants. À l’époque de Marius, les armées (celt)ibériennes luttaient en suivant les modèles romains et toutes les séries monétaires (celt)ibériennes classiques au type de revers au cavalier furent frappées en Espagne pendant la période 107-90 avant J.-C. Elles ne reflètent donc pas les différentes étapes de la conquête romaine de l’Hispanie, mais plutôt l’émergence à cette époque d’une composante hispanique de l’armée romaine.
Security Analysis and Improvement of Secure and Dynamic Clustering Protocol
Authors: Liu Shu , Jiang Rui
Published: February 2011

In this paper, we analyze a secure and dynamic clustering protocol SecDEACH. Through analysis, we show that the protocol is vulnerable to the wormhole attack since it does not consider the verification of the neighbor nodes within its radio range. We give a wormhole attack to the protocol and propose an improved version which can keep the frame of the SecDEACH protocol and overcome the security shortages. Finally, we make an analysis of the improved protocol and conclude the paper.
Semantic Data Management in PDM System Based on Object Deputy Model
Authors: Liu Jun Qiang , Guan Xiao Ling
Published: February 2011

Semantic data management is a key issue in PDM (product data management) system. Traditional PDM system is not suitable for complex semantic data management. Moreover, most of the PDM systems cannot provide efficient semantic search over database. In this paper, we present a data warehouse which adopts the object deputy model to store semantic product data. Most important of all, we can provide more convenient and efficient semantic search for users. The experiment results show that our approach is more feasible and efficient than the traditional one.
Smart Transport System Based on “The Internet of Things”
Authors: Zhang Min , Yu Tao , Zhai Guo Fang
Published: February 2011

The paper analyzes the characteristics of an intelligent transportation system (ITS) to explore the impact on urban transport of the ideas from “the Internet of Things (IOT)” before its official appearance, and further outlook for the driving force from smart traffic guided by IOT.
Soft-Sensing Model on the Roughness of Machining Surface under the Numerical Control and its Application
Authors: Zeng Yi Hui , E Jia Qiang , Yang Xian Ping , Li Hong Mei
Published: February 2011

In order to make sure a high-accuracy and fast- speed survey, a Soft-sensing model for the roughness of machining surface was built based on the support vector machines using rotate speed n, feed peed vf, and depth of cutting as independent parameters, taking groups of actual machining experiment data as samples.The allowable error ε and the positive aligned c and the kernel function parameter r were optimized by an adaptive genetic algorithm. After being optimized 300 steps, the following results can be gained through the training, testing and application. The average relative error tended to saturation training was 4.0%; the test error was less than 2.6%; the average relative error between the Soft-sensing value for the roughness of machining surface under the numerical control and the test value of the profile and roughness tester for the SV-C3000 super surface of was ranging from 0.4% to 1.25%.
Study on the Sky Luminance Distribution of Information Methods by Ant Colony Systems
Authors: He Ying , Guo Ping , Lin Yong
Published: February 2011

The sky luminance distribution model studied by information methods use a new arithmetic to solve complex optimization heuristic algorithm, ant colony system. Through analyzing and optimizing the effect factors of sky luminance by the ant colony system, the study got the coefficients value of sky relative luminance distribution numerical expressions. Based on the study, develop a set of convenient and practical sky luminance model calculation software, which can provide an intuitive and easy calculation. This model has higher precision. It provides valuable results for day lighting using, especially high precise and standard work of day lighting design both in theory and application.
The Analysis of Conjugating Cam in Beating-up Mechanism
Authors: Teng Bing , Sha Ling , Ma Si Xuan
Published: February 2011

The conjugating cam beating-up mechanism is the key parts of looms, and it is one reason which determines the speed and steady state of motion. The paper uses ADAMS to build the model of it and makes kinematics simulation and dynamics simulation.
A Swarm Intelligence Based Rescheduling Method for Semiconductor Wafer Fabrication Facilities
Authors: Li Li , Qiao Fei
Published: February 2011

An effective rescheduling method takes an important role on improving the operational performance of a semiconductor wafer fabrication facility (fabs). In this paper, we propose a rescheduling method based on swarm intelligence. Firstly, we build a swarm intelligence based rescheduling model (SIRM) including an ant queen agent, multiple job ant agents and machine ant agents. Secondly, we design a rescheduling algorithm (CMRA) composed of three sub-algorithms: sub-algorithm-1 is used by an ant queen agent to transfer an existing static optimized scheduling plan into additional pheromones of job ant agents; sub-algorithm-2 and sub-algorithm-3 are used to convert scheduling related real-time information to dynamic pheromones of job ant agents and machine ant agents, respectively. Finally, a simplified semiconductor wafer fab model is used to verify and validate CMRA. The simulation results demonstrate that CMRA is superior to the original scheduling method to generate a static optimized scheduling plan with better performance on move, step and on-time operational due date rate under uncertain production environments.
The Effect of the Structure of Collection Loop on Two-Phase Flow Field in Quenching Furnace
Authors: Shao Bao Dong , Cheng He Ming , Li Jian Yun , Li Zi Liang , Hou Li Jun , Hou Jie , Wang Li Feng , Ding Dong Fang , Tian Chong
Published: February 2011

In order to analyses the effect of structure of collection loop on two-phase flow field in quenching furnace, the complex flow field in furnace for mixture of Nitrogen and spray water ejecting quenching under normal pressure and high velocity is numerically simulated with Mixture model of two-phase flow by CFD software FLUENT. Different inlet velocity, different volume percent of spray water, different velocity differences between Nitrogen and spray water, and different angle and dimension of collection loop affected on outlet velocity are analyzed. The research results show that the flow field is really complex, and around inner and outside canister and collection loop back flow exists. The angle of collection loop has less effect on outlet velocity, and the inner diameter of collection loop has more effect on outlet velocity. The simulation results show that the furnace can accelerate the flow of quenching media, which can cool specimen quickly.
The Empirical Analysis on E-Government Customer Satisfaction
Authors: Lin Yong , Yao Jin Hua , Yao Xiao Long , Yang Fan
Published: February 2011

According to the characteristics of the Chinese e-government development, the paper presents the customer satisfaction indicators about e-government measurement. It takes Yongchuan District in Chongqing for example and designs the questionnaire to collect sample data. It goes on an empirical analysis of customer satisfaction using weighted average method. The weights are determined by the survey data which are done factor analysis. This method will be more objective in calculating weights. Finally, from the public point of view, it raises reasonable recommendations on the level of e-government in Yongchuan District.
The Modified DNA Identification Classification on Fuzzy Relation
Authors: Hu Yu Jen , Hu Yuh Hua , Ke Jyh Bin
Published: February 2011

We proposed a categorized method of DNA sequences matrix by FCM (fuzzy cluster means). FCM avoided the errors caused by the reduction of dimensions. It further reached comprehensive machine learning. In our experiment, there are 40 training data which are artificial samples, and we verify the proposed method with 182 natural DNA sequences. The result showed the proposed method enhanced the accuracy of the classification of genes from 76% to 93%.
The Power Grid Fault Diagnosis Based on the Abnormal Changes of the Grid Structure and the Dynamic Fault Tree
Authors: Zhang Xu , Zhao Dong Mei , Qiu Chen , Liu Jia Dong
Published: February 2011

This paper analyzes the difference between the changes of the grid structure in its break mode and the normal operational mode. A secondary system analytic mode is built based on the relaying setting principles and the logic behavior. Combined the gird structure’s mode analysis and the dynamic fault tree mode, it can analyze the overall fault process using the process-matched ways.
The Research on Blind Source Separation Method for Vibration Signals Base on the Second-Order Statistics
Authors: Ye Hong Xian , Zhou Xiao Feng
Published: February 2011

A blind source separation (BSS) method base on second-order statistics was applied to separate the vibration mixtures based on the temporal structure of vibration signals. The single delay covariance matrix was used to compute the whiten matrix. A set of covariance matrices with different time delay was joint approximatively diagonalized to obtain their ‘average eigenstructure’. The separation of the real vibration mixtures from two motors illustrate that it is feasible to applied this method to the research of the health monitoring of the gearbox.
The Research on the Structure Parameters to Deformation of the 150 Diesel Engine Cylinder under Thermo-Mechanical Coupling
Authors: Li Kun , Su Tie Xiong , You Guo Dong , Xu Lu , Li Xiao Jie
Published: February 2011

Finite element method with experimental data was used to calculate and analysis the temperature field and machine assembly of a 150 engine cylinder liner. Using a series of evaluation criteria such as maximum, minimum radius, light leakage rate to analyze the influence of the main structural parameters on the cylinder liner deformation in the coupling effect of Thermal stress and mechanical stress. Comparative results show that: increasing the wall thickness of cylinder liner can reduce the radial deformation of the cylinder liner effectively, the diameter of the cylinder liner shroud has little effect on the cylinder liner radial deformation, but it can reduce the local stress concentration of the cylinder liner, cylinder shroud thickness increases can lead to the radial deformation of the cylinder liner increasing.
The Researches on Security Price in the Power Market
Authors: Li Lu , Tang Zhong Fu , Zhang En Yuan
Published: February 2011

The deregulation of power system brings a strong impact on all aspects of power industry, and especially the risk on the maintenance of system security. The problem is addressed and researched in this paper. Meanwhile, the paper presents a new price mechanism—security price, which is able to stimulate market participants to actively maintain system security. In addition, security price can also exert its economic leverage to alleviate the congestion of power network and the shortage of short-run capacity.
The Intelligent Fault Diagnosis of Construction Machinery Based on Multi-Agent
Authors: Wang Yi , Jiang Ping , Luo Yao Hui , Xie Yan Qun
Published: February 2011

The number of construction machinery faults is too much and its diagnosis are fuzzy and complex. We construct the fault hierarchy model by the means of hierarchy analysis and obtain all kinds of Possibility degree of faults factors through the triangular fuzzy complementary judgment matrix .Take the fault diagnosis of diesel engine fuel system, this paper establish intelligent fault diagnosis system, which has the ability of self-learning and self-correction using multi-agent technology.
Adaptive Polarization Stabilization with DPSO Algorithm in Optical Communication System
Authors: Yuan Xue Guang , Zhang Yan Gan , Zhang Ming Lun , Zhang Jin Nan , Huang Yong Qing
Published: February 2011

Dithering particle swarm optimization (DPSO) algorithm is introduced into adaptive polarization stabilization in a 40 Gb/s optical communication system. The DPSO algorithm has the merits of rapid convergence to the global optimum, without being trapped in local sub-optima, and good robustness to noise. How to implement DPSO as a component of a control algorithm in adaptive polarization stabilization is described. Performance comparisons between PSO and DPSO were carried out theoretically and experimentally. It is demonstrated that fast changes of SOP can be successfully tracked using the DPSO algorithm.
Adsorption Property and Photocatalytic Activity of Sol-Gel Prepared Porous TiO2 Using PEG1000 as Template
Authors: Liu Chun Ling , Li Ru Yuan , Zhang Wen Jie
Published: February 2011

PEG1000 was used as a template to prepare porous TiO2 photocatalyst through sol-gel process. The amount of PEG1000 and calcination temperature and time were studied with respect to porous TiO2 activity. At the optimum adding amount of PEG1000, 30.0% of the initial methyl orange was degraded. Methyl orange adsorption on the porous TiO2 maintained less than 2% during the whole template content range. During the calcination temperature range from 400 oC to 600 oC and time range from 2 h to 5 h, the optimum degradation activity appeared to the sample calcinated at 500 oC for 4 h. Adsorption of the materials had no variation at different calcination temperatures and times, and was quite weak compared with degradation efficiencies. 96.2% of the initial methyl orange was degraded after 100 min of irradiation.
AHP to Appraise the Traffic Safety of the Express Way
Authors: Yu Dan , Wu Yi Hu , Hou Zhi Xiang , Liu Wen Jun , Zhang Ji Guang
Published: February 2011

The internal structure of the road safety system is extremely complex and it is affected by a lot of factors, each factor weights can not be fully established. In this article, we expressed the attribute value with a fuzzy interval number, the comprehensive appraise to the impact of traffic safety with emphasis on "people", "car" "road" in the "road". First of all, establishing evaluation index system, and form the judging matrix by AHP; then, it can be acquired a method of traffic safety evaluation by using the comprehensive evaluation model of the fuzzy interval.
A Design Method of LS-SVM Based Stable Adaptive Controller for a Class of Nonlinear Systems
Authors: Xie Chun Li , Zhang Tao , Zhao Dan Dan , Shao Cheng
Published: February 2011

A design method of LS-SVM based stable adaptive controller is proposed for a class of nonlinear continuous systems with unknown nonlinear function in this paper. Due to the fact that the control law is derived based on the Lyapunov stability theory, the scheme can not only solve the tracking problem of this class of nonlinear systems, but also it can guarantee the asymptotic stability of the closed systems, which is superior to many LS-SVM based control schemes. The effectiveness of the proposed scheme is demonstrated by simulation results.
An Error Registration Method Based on UKF for Maritime Multi-Platforms
Authors: Wang Cheng Fei , Wang Hang Yu , Shi Zhang Song
Published: February 2011

To establish the uniform situation map, the platforms’ low-precision navigation information and the location information measured mutually are used to carry out the sensor data alignment for martime multi-platforms. This method can avoid the dependences on high-precision navigation equipments and the errors introduced by assuming the earth’s surface to be the plane. The models of coordinate conversion for aligning are presented. Then the measure equations and the state equations with regard to navigation systematic error and sensor systematic error are built respectively, and a registration algorithm based on Unscented Kalman filtering is designed for estimating online and compensating those two systematic errors. Consequently, the error registration for martime multi-platforms is achieved, and the higher precision information can be provided for the subsequent data association and data fusion. The simulation results demonstrate the correctness and validity of the algorithm.
Analysis of Inter-Harmonic Wave with Different Wavelets
Authors: Zhou Jian Ping
Published: February 2011

Inter-harmonic wave is one of most important factors to influence power quality in power system, which is harmful to the power system and power equipment. Db5 wavelet, sym4 wavelet and Fourier transform have been applied to analyze the inter-harmonic of power system, respectively. The simulation results show that Fourier transform fails to analyze the inter-harmonic, while db5 wavelet and sym4 wavelet can separate the fundamental wave from inter-harmonic wave. By Comparison, db5 wavelet is more precise and effective than sym4 wavelet to separate the fundamental wave.
Application and Experimental Study of Support Vector Machine in Rolling Bearing Fault
Authors: Gao Hong Bing , Yang Liao , Zhang Xian , Cheng Chen
Published: February 2011

A brief introduction of the basic concepts of the classification interval, the optimal classification surface and support vector; explained derivation of SVM based on Lagrange optimization method; Sigmoid kernel function and so on. It describes three methods of C-SVM、V-SVM and least squares SVM based on Sigmoid kernel function. To a bearing failure as a example to compare three results of SVM training of the kernel linear function, polynomial kernel function, Sigmoid kernel function, The results show that satisfactory fault analysis demand the appropriate kernel function selection. Fault in the gear box, the bearing failure is 19%, In addition, the rate is as high as 30% in other rotating machinery system failure [1,2].Thus, rolling bearing condition monitoring and fault diagnosis are very important to production safety, and many scholars have done numerous studies [3,4]. Support vector machine method is a learning methods based on statistical learning theory Vapnik-Chervonenkis dimension theory and structural risk minimization [5,6].
Application of Online Fault Detection Approach on Hydraulic System
Authors: He Xiang Yu , He Shang Hong
Published: February 2011

In order to improve reliability of the excavator’s hydraulic system, an online fault detection approach based on dynamic principal component analysis (PCA) was proposed. With this approach, normal samples were used as training data to develop a dynamic PCA model online with new data. Secondly, T2 statistic and Q statistic performed as indexes of online fault respectively. Several experimental faults were introduced to validate the approach, and the dynamic PCA model developed were able to detect overall faults using T2 statistic and Q statistic. By experiment analysis, the proposed approach achieved an accuracy of 95% for 20 test samples. Experimental results shows that the online fault detection approach could effectively applied to the excavator’s hydraulic system.
Based on Hybrid Particle Swarm Optimization of the AGC Units Dispatch
Authors: Wang Xiao Hua , Zhang Yong Mei
Published: February 2011

On the premise of ensuring safety and reliability in electricity market environment, the goal of State Grid Corporation is that purchase AGC ancillary service charges of reducing cost. This paper first takes total expense from many AGC units as an objective function, , which synthetically considers total regulation MW amount and total regulation speed constraints. A novel hybrid particle swarm optimization (PSO) algorithm is applied to solve the problem. Numerical simulation results show that the improved PSO algorithm has advantages both in the calculation accuracy and the convergence speed. Therefore, it is concluded that the algorithm is supposed to be an effective way to deal with the optimized issue in the power market.
Calculation of Electrodynamic Forces of Metallized Capacitor’s Leading Wire
Authors: Kong Zhong Hua , Jiang Ya Dong
Published: February 2011

With the development of pulsed power technology, pulsed power equipment requires metallized capacitor with high energy density and large discharging current. Large discharging current makes leading wire pulling form the capacitor, or breaking the leading wire. This paper aims to calculate the electodynamic forces of metallized capacitor’s leading wire under DC, AC and transient state through ANSYS. The results show that electrodynamic force is smaller with annular leading wire, electrodynamic force increase with the frequency increasing under transient current, electrodynamic force increase with the rising time decreasing.
Character Measurement of Flapping-Wing Mechanism
Authors: Liu Yun , Jing Zhi Sheng , Tu Shan Chao , Yu Ming Hao , Qin Guo Wei
Published: February 2011

The characteristics and the application prospect are analyzed. It is concluded that bionic flapping-wing flying has better lift fore generation efficiency, which is the development trend of aerial vehicles. By the scaling effect analysis on bionic flying mechanism, it is presented that bionic flying could be realized more easily when the sizes are decreased. In this article, the flying mechanism of inset and Aves was studied and the high lift force mechanism of flapping-winging was concluded. In order to make the flapping-flying easier, we design a new type flapping-flying mechanism. A set of flapping-wing move comparatively. It can provide lift force all the time. We test the lift force in the condition of different speed and different frequency. The lift effect is validated on a simple suspend flight device. An experimental platform to measure the aerodynamic force is devised and developed by ourselves. On this equipment, the aerodynamics force of the prototype is test. The result is that enhancing speed or frequency can improve lift force in evidence
Contourlet-1.3 Texture Retrieval Using Absolute Mean Energy and Kurtosis Features
Authors: Chen Xin Wu , Liu Li Wei
Published: February 2011

To improve the texture image retrieval rate of contourlet texture image retrieval system, a contourlet-1.3 transform based texture image retrieval system was proposed. In the system, the contourlet transform was contourlet-1.3, a new version of the original contourlet, sub-bands absolute mean energy and kurtosis in each contourlet-1.3 sub-band were cascaded to form feature vectors, and the similarity metric was Canberra distance. Experimental results on 109 brodatz texture images show that using the features cascaded by absolute mean energy and kurtosis can lead to a higher retrieval rate than the combination of standard deviation and absolute mean energy which is most commonly used today under same dimension of feature vectors. Contourlet-1.3 transform based image retrieval system is superior to those of the original contourlet, non-subsampled contourlet and contourlet-2.3 systems under same system structure with same dimension of feature vectors, retrieval time and memory needed.
Data Compression in Automatic Ultrasonic Inspection Based on Lifting Scheme
Authors: Li Xiong Bing , Hu Hong Wei , Li Ling , Tong Lin Jin
Published: February 2011

In this paper, the method of data compression in ultrasonic automatic inspection using integral wavelet transform is proposed. The compression method presented is performed through signal decomposition, thresholding of wavelet transform coefficients, signal reconstruction, evaluating and optimizing algorithm performance by parameters index . The experiments show that the method has the advantages of low computation complexity， fast compression rate， high compression ratio and small reconstruction difference when it is applied to A-Wave data compression.
Degree Dominance Interval Relation-Based RSM in Intuitionistic Fuzzy Decision Systems
Authors: Huang Bing
Published: February 2011

By introducing a degree dominance relation to dominance interval intuitionistic fuzzy decision systems, we establish a degree dominance interval rough set model (RSM), which is mainly based on replacing the indiscernibility relation in classical rough set theory with the degree dominance interval relation. To simplify knowledge representation and extract some nontrivial simpler degree dominance interval intuitionistic fuzzy decision rules, we propose two attribute reductions of the degree dominance interval intuitionistic fuzzy decision systems that eliminate the redundant condition attributes that are not essential from the viewpoint of degree dominance interval intuitionistic fuzzy decision rules.
Design and Implementation of a Flexible Interline CCD Pixel Binning Method
Authors: Bao Tian Wei , Wang Shi , Ma Tian Yu , Liu Ya Qiang
Published: February 2011

Pixel binning is a very important mechanism in CCD (Charge Coupled Device) image capture system. At the cost of resolution degradation, the readout speed and SNR (signal-to-noise ratio) are improved. A 3×2 pixel binning technique is reported in this paper and the driving timing sequences are presented. Compared to normal 2×2 pixel binning, this technique keeps a relative better SNR ,but in the same readout speed.
Design of EMC Test Software Based on Configurable File
Authors: Jia Hui Qin
Published: February 2011

According to EMC Standard,fulfilling one Test-Item generally includes below process: select and configure the parameters of instrument,form and execute the Test-Flow, therefore the main task of EMC is to configure instrument and form the Test-Item. In this paper the authors present a new method using configuration file to describe EMC Test-Item to improve the expansibility and maintainability of EMC test software. Multi-layered software architecture is designed according to EMC test operating sequence, and COM component technology is used to design the core module of each layer to guarantee plug&play for the new program-controlled instruments. Because of using the form of configuration file to describe Test-Item, the new Test-Item will be produced through Test-Engine calling Test-Item Configuration Generator. The Virtual Instrument Software Architecture is used to design and realize the frame of EMC software, and the Visual C++ software platform is used to realize the above design method. Application using configuration file make EMC software has the features of easy to use, easy update and expandability.
Design of Vertical Air Conditioning Control System
Authors: Bao Ben Gang , Zhen Xia Song , He Tao , Liu Yun , Deng Bo , Wu Ming
Published: February 2011

As for the separated air conditioner in the public is not facilitate for unified management and often causes a waste of energy, so we put forward a kind of centralized control system, which is suitable for small and medium-sized public places, to manage many separated air conditioner together. Through the development of the software VC++ and the communication with the internal 51-series microcomputer CPU of the air conditioner in many different rooms by using the bus RS485, we could realize the controlling of the turning on or off of the conditioner as well as the temperature and strength of the wind of the air conditioner centrally. The system is characterized for its highly safety performance and its ease to use.
Detection for Stator Winding Turn Fault by Using Fuzzy Neural Network
Authors: Wang Xu Hong , He Yi Gang
Published: February 2011

A fuzzy neural network based on-line turn fault detection approach for induction motors is proposed in this paper. B-spline membership fuzzy neural network is employed to detect turn fault and a genetic algorithm with an efficient search strategy is developed to optimize network parameters. Based on it, Experiments are carried out on a special rewound laboratory induction motor, the results show fuzzy neural network based diagnosis model determines the shorted turns exactly, and is more effective than the parameters estimation method under the condition of detecting a slowly developing turn fault.
Development and Optimization of a mAb-Based Indirect Competitive ELISA for Enrofloxacin Residue in Duck
Authors: Jiang Jin Qing , Zhang Hai Tang , Zhao Heng Zhang , Zhao Kun , Xu Zhi Yong , Chang Xin Yao , Wang Zi Liang
Published: February 2011

This paper presents the generation of monoclonal antibodies (mAbs) with high specificity against enrofloxacin (ENR) through cell fusion procedures, and the development of a mAb-based indirect competitive ELISA (icELISA) method to detect ENR residue using one of these Hybridomas (clone 4B5-D6). Under the optimal experimental conditions, this assay exhibited a working range of 0.004-38 ng/mL with IC50 and LOD values of 0.4 and 0.002 ng/mL, respectively. Except for a high cross-reactivity (105.2%) to Ciprofloxacin, negligible cross-reactivity to the other compounds was observed. After optimization, 10% of methanol was used in the assay buffer and this ELISA system can tolerate acetonitrile not higher than 10%. Recovery studies indicate that an excellent correlation between concentration spiked and concentration determined was found, and the results also suggest this assay has the potential to be incorporated into a quantitative monitoring program for the rapid screening of ENR residue in poultry tissues.
Dynamic Analysis of Prestressed Concrete Material Beams
Authors: Chen Li , Xiang Heng Bo , Zhang Yong
Published: February 2011

Prestressed concrete material structures have the properties of higher crack resistance, higher degree of solidity and lighter weight. A new analytical method is proposed to investigate the dynamic deflection responses of the partially prestressed concrete beams subjected to blast loads. The new method uses an equivalent single degree of freedom system, which combines an elasto/viscoplastic rate-sensitive material model with the proposed static layered section approach. The analytical results agree well with the test data.
Dynamic Analysis of the Single Piston Hydraulic Free Piston Engine
Authors: Ren Hao Ling , Xie Hai Bo , Yang Hua Yong
Published: February 2011

The connection of the engine body and the base was simplified as a spring and a damper to analyze the body vibration of the single piston hydraulic free piston engine. It was demonstrated that the increasing of the connection spring rate can reduce the amplitude of the body vibration. But the reduced vibration amplitude was trivial after the spring rate was increased above 300KN/m. The damp ratio of the connection had little influence on the body vibration. The introduction of a pump chamber into the structure in the compression stroke can shorten the rebounding displacement of the free piston assembly (FPA) while it was settled at the right dead center working in pulse pause modulation (PPM) mode. Furthermore it can keep the FPA have an enough stroke to achieve a predetermined compression ratio and reduce the fluctuation of the pump flow. The compression ratio can be improved through increasing the pressure of the compression accumulator and decreasing the pressure of the high pressure accumulator. Also the compression ratio and the operation frequency of the engine can be improved by shortening the switch time of the control valve and prolonging the open time.
Dynamic Trusted Domain: Preventing Data Leakage of Trusted Subjects
Authors: Ma Jun , Wang Zhi Ying , Ren Jiang Chun , Wu Jiang Jiang , Cheng Yong , Mei Song Zhu
Published: February 2011

The existence of trusted subjects is a major complication in implementing multilevel secure (MLS) systems. In MLS, trusted subjects are granted with privileges to perform operations possibly violating mandatory access control policies. It is difficult to prevent them from data leakage with out too strict confinement. This paper reconsiders the privilege from the view of sensitive data and presents a dynamic trusted domain (DTD) mechanism for trusted subjects. In DTD, a domain is associated with a special label structure (LabelVector) distinguishing security policies and builds an isolated environment based on virtualization for a certain trusted subject. The channel for the trusted subject to communicate with outsider is controlled by a trusted request decision maker (TRDM). Only the request satisfies the rules on domain label and security levels can be passed through.
Electric Arc Furnace Based on Fuzzy Neural Network Control System and MATLAB Simulation
Authors: Li Qiang , Wu Peng Hua
Published: February 2011

EAF steelmaking is a complex physical and chemical reactions，has Highly nonlinearity, time variability and strong coupling. As the electrode's contact with the charging circuit, charging the collapse of the gasification furnace components and liquid metal boiling and other factors, often result in dramatic fluctuations in arc current. At this point we need to quickly adjust the location of electrodes, so that arc current stable base on this within a certain range. This article in the fuzzy control and neural network’s foundation,will study a kind based on three-phase consciousness electric arc furnace predictive control new method, Using the fuzzy neural network control adjusting electrode, further enhancing the effectiveness of electric arc furnace’synthesis movement.
Fast Nondestructive Measurement and Discrimination of Tablet Based on Vis/NIR Spectroscopy and Chemometrics
Authors: Ni Yong , Shao Yong Ni , He Yong
Published: February 2011

This paper presents methods based on chemometrics analysis to select the optimal model for variety discrimination of ginkgo (Ginkgo biloba L.) tablets by using a visible/short-wave near-infrared spectroscopy (Vis/NIRS) system. The tablet varieties used in the research include Da na kang, Xin bang, Tian bao ning, Yi kang, Hua na xing, Dou le, Lv yuan, Hai wang, and Ji yao. All samples (n=270) were scanned in the Vis/NIR region between 325-1075nm using a spectrograph. Principal component artificial neural network (PC-ANN) was used to identify the tablet varieties. In PC-ANN models, the scores of the principal components were chosen as the input nodes for the input layer of ANN. Independent component analysis (ICA) was executed to select several optimal wavelengths based on loading weights. The absorbance values log (1/R), corresponding to the wavelengths of 481nm, 1000nm, 460nm, 572nm, 658nm, 401nm, 998nm, 996nm, 468nm and 661nm were then chosen as the input data of artificial neural network (IC-ANN), and the discrimination rate was reached at 95.6%, which was better than PC-ANN. The results indicated that ginkgo tablets discrimination was good based on the both methods.
Fault Diagnosis with Fuzzy Expert System
Authors: Ou Yang Lan
Published: February 2011

Locating the causes of malfunctions in complex energy systems is an extremely difficult task, more than one fault mode may produce similar and possibly undistinguishable patterns of effects. This paper shows how fuzzy expert systems can exploit the available measurements from the data acquisition system to identify different component and sensor fault modes. Real sensor data (mass flow rates, pressures, temperatures, and key operating parameters) are compared with the expected values of the same quantities that are calculated using numerical models of local subsystems. The final objective is to verify the existence of some patterns of these attributes that univocally identify the considered fault modes. These patterns are then implemented as the set of rules forming the knowledge based on fuzzy expert system.
Simulation of the Unloading Pressure and Recovery Pressure of Internal Unloading Valve for Emulsion Pump Station
Authors: Yang Shi Bin
Published: February 2011

Automatic unloading valve is the critical pressure control element of emulsion pump station, the unloading pressure and the recovery pressure after unloading of the pump are two important technical parameters of the emulsion pump station. The working performance of the unloading valve can be improved by research and simulation of the two parameters, making clear the state of the unloading valve for emulsion pump station when working, calculating the electromagnetic thrust when the pilot valve and main valve core act as well as the response speed of the unloading pressure, checking and correcting the original spring force. The variation range of pump station pressure can be controlled within ±0.5MPa through the effective control on the unloading pressure and recovery pressure of the automatic unloading valve for emulsion pump station, which ensures the stability, reliability and sensitivity of the pump station when working. The improvement of the automatic unloading valve technology of internal unloading type is adaptable to the development needs of high-yield and high-efficiency modern mine for high pressure and super larger flow pump station.
High Voltage Ultra-High Stability AC Voltage Amplifier Based on Magnetic Coupling
Authors: Ning Jin , Ihlenfeld W.G. Kürten
Published: February 2011

An alternating high voltage amplifier with four output ranges of 60/120/240/480V at power frequencies based on magnetic coupling and feedback compensation is presented. It is designed for calibration purposes. By the use of high quality transformers, a precise feedback loop and an error-correcting amplifier, a high gain stability and excellent performance over time is achieved. Its measured gain stability of amplitude and phase are within  0.2 V/V and  0.2 rad respectively over hours with a very low total harmonic distortion (THD) of 0.0022%.
Highway Accidents Prediction Model of Combinatorial Optimization
Authors: Hou Zhi Xiang , Yu Dan , Li Jia Jia , Yang Jian , Yin Xiao Mei
Published: February 2011

Although road traffic accidents have contingency characteristics, but also can use the method of forecasting theory to forecast. In this paper, we adopt the gray GM (1,1) model and cubic exponent smooth model to optimum combination ，Established traffic accident prediction model based on IOWGA(induction ordered geometric weighted average)and tested this combination forecasting model .Test results show that the combination forecasting model is effective, reliable, high prediction accuracy, can used to real forecast.