bluuebunny/crossref_metadata_2025 huggingface dataset:
Les traités d’arithmétique byzantins des XIIIe-XVe siècles, source d’histoire monétaire
Authors: Morrisson Cécile
Published: February 2014

Le développement du grand commerce méditerranéen à partir de la seconde moitié du

XIIe siècle a contribué à stimuler celui des techniques comptables. En même temps les échanges intellectuels entre l’Orient et l’Occident ont répandu de nouvelles méthodes de calcul adaptées à la complexité des transactions et à la demande de la classe marchande. Après un rappel sur les traités byzantins conservés on examine les mentions de monnaies figurant dans beaucoup de leurs problèmes d’arithmétique. Lorsque les traités sont datés, on peut comparer leurs informations sur la monnaie avec les données d’autres sources comme les livres de comptes et montrer la validité de celles-ci. Dans le cas de manuscrits non datés (tels ceux du Vindobonensis gr. 65) ce sont les mentions monétaires qui contribuent à déterminer une date de rédaction par comparaison de l’éventail des dénominations et de leurs valeurs avec les données numismatiques sur l’émission et la circulation de l’époque.
About Numismatics and Some Problems of Algebra from a Byzantine Manuscript of 1436 (Cod. Vind. phil. gr. 65)
Authors: Deschauer Stefan
Published: February 2014

Le Cod. Vind. phil. gr. 65 est un document mathématique sans équivalent de l’époque byzantine tardive. Le « deuxième livre » du texte contient une théorie de l’algèbre à l’italienne avec beaucoup de problèmes profonds et à peine connus dans l’histoire de la mathématique et de la numismatique. Jusqu’à aujourd’hui on ne connaît pas d’autres oeuvres algébriques à Byzance. J’en présente ici quelques problèmes typiques dans lesquels figurent des monnaies du XVe siècle.
The Book of Michael of Rhodes and the Merchant Manual Tradition
Authors: Stahl Alan Michael
Published: February 2014

Le manuscrit en langue vénitienne formé au milieu du XVe siècle par un personnage qui se désigne lui-même sous le nom de Michel de Rhodes présente des traits communs avec les manuels de marchands, comme sa structure de compilation de textes professionnels et particulièrement sa section initiale issue de la tradition des traités d’abaque. En revanche les autres textes concernent la construction navale et la navigation bien plus que le commerce et la monnaie. C’est pourquoi on considère ce manuscrit, et ceux qui l’ont suivi, comme un genre à part, celui des manuels

maritimes.
L’apport de l’expérimentation paléométallurgique dans une discussion technique
Authors: Arles Adrien , Téreygeol Florian
Published: February 2014

During the excavations of the second royal mint in La Rochelle (France), an important quantity of material related to the production of coins was brought to light. This corpus has been the subject of a technical study in order to determine the manufacturing process of coins in the 16th century. With this research some experiments were conducted on the paleometallurgical platform in Melle and in a laboratory too. The purpose of this paper is to present the advantages of this kind of approach and illustrate them with some examples taken from our study of the minting technics.
Imitations des monnaies hellénistiques de Thessalonique
Authors: Kourempanas Théodore
Published: February 2014

Analyse d’imitations thraces de bronze macédoniens, en particulier de l’émission tête de Dionysos / bouc. Les lieux de trouvaille, les erreurs de gravure de l’ethnique et la pauvreté du style permettent d’affirmer qu’il s’agit bien d’imitations.
Expérimentation sociale et « confucianisme populaire ». Le cas du Centre d’éducation culturelle de Lujiang
Authors: Dutournier Guillaume , Zhe Ji
Published: February 2014

La multiplicité des initiatives se réclamant aujourd’hui en Chine du «confucianisme » exige une attention particulière à la diversité des dispositifs concrets de leur mise en oeuvre. Dans cette étude de cas, on analyse la formation et le fonctionnement d’un établissement d’un genre inédit : initié depuis trois ans dans un bourg de l’Anhui par un bouddhiste taïwanais, et pourtant fortement imprégné de traditionalisme confucianiste, ce «Centre d’éducation culturelle » invente, entre contrôle politique et prosélytisme moral, une nouvelle forme de gouvernementalité qui pourrait faire école.
STUDY OF SPECTRAL CHARACTERISTICS OF MOTION ARTIFACTS IN AMBULATORY ECG BY ANALYZING PCA RESIDUAL ERRORS
Authors: Kher Rahul , Pawar Tanmay , Thakar Vishvjit , Patel Dipak
Published: February 2014

In this paper, the spectral characteristics of motion artifacts occurring in an ambulatory ECG signal have been studied using principal component analysis (PCA). The PCA residual errors characterize the spectral behavior of the motion artifacts occurring in ambulatory ECG signals. The ECG signals have been acquired from Biopac MP-36 system and a self-developed wearable ECG recorder. The performance is evaluated by power spectral density (PSD) plots of PCA residual errors as well as statistical parameters like mean, median and variance of PCA errors. The PSD plots clearly indicate that the peak frequency of the motion artifacts occurring due to various body movements (like left and right arms up–down, left and right legs up–down, waist twist, walking and sitting up–down) is located around 20–25 Hz against the ECG peak frequency around 5–10 Hz.
FINITE ELEMENT ANALYSIS FOR AC JOINT COMPLEX OF HUMAN SHOULDER AND ITS CLINICAL APPLICATIONS
Authors: Yang Ching-Chieh , Lu Chun-Lin , Chen Rongshun , Yeh Meng-Kao , Huang Teng-Le , Wu Jiunn-Jer
Published: February 2014

The stress distributions of acromio-clavicular joint (AC joint) complex for human shoulder in intact condition, injured condition and two reconstruction procedures were presented in this paper. Two-dimensional finite element (FE) analysis was used to investigate various situations of AC joint from engineering viewpoint. The models are validated through comparison with the experimental results of Debski et al.17The results showed that the stress shifted to trapezoid ligament and conoid ligament once the AC joint was injured. The modified Weaver–Dunn procedure is better than the Neviaser procedure since the graft alleviates more stresses from trapezoid and conoid ligaments. The coraco-acromion ligament (CAL) plays an important role in the AC joint complex. AC joint complex model can provide alternative evidence to elucidate the detailed anatomy and functional role of each AC joint structures and numerical evidence for the advantage of specific procedures of AC joint and may serve as a potential tool to screen out improper material implementations and surgical procedures in the future.
PORCINE SMALL INTESTINAL SUBMUCOSA REDUCES THE INFLAMMATORY REACTION OF POLY(LACTIDE-CO-GLYCOLIDE) FILMS
Authors: Ha Hyun Jung , Song Jeong Eun , Kang Yunmi , Kim Eun Young , Yoon Sun Jung , Yang Young Il , Lee Dongwon , Khang Gilson
Published: February 2014

Poly(lactide-co-glycolide) (PLGA), a well-known synthetic polymer comprised of PLA and PGA, is used commonly as a scaffold for soft and hard tissue engineering purposes; however, the appropriate strategies for reducing its host tissue inflammatory response remain obscure. Porcine small intestinal submucosa (SIS) has been applied as a natural, biodegradable matrix for dressing materials, tendon graft substitutes and scaffolds. We hypothesized that the host tissue reaction of PLGA might occur but could be reduced by impregnating SIS into PLGA. We manufactured PLGA/SIS hybrid films with 0, 10, 20, 40 and 80 wt.% SIS of PLGA. The inflammatory potential of PLGA was evaluated using mRNA expression of TNF-α, IL-1β and IL-6 in the surrounding tissue of implanted scaffolds. The response of subcutaneously implanted PLGA/SIS films were compared to PLGA film; the local inflammatory response was observed by histology. PLGA/SIS films, especially PLGA/SIS films containing 20, 40 and 80 wt.% SIS, elicited a significantly lower expression of IL-1β, TNF-α and IL-6 than PLGA film. PLGA/SIS films demonstrated a favorable tissue response profile compared to PLGA film, with significant less inflammation and fibrous capsule formation as below only 20 wt.% of PLGA/SIS film during implantation. This study demonstrates reduced inflammatory response of PLGA by different amounts of SIS and PLGA/SIS scaffolds being used for tissue engineering constructs.
MECHANICAL PROPERTIES OF ELECTROSPUN PCL SCAFFOLD UNDER IN VITRO AND ACCELERATED DEGRADATION CONDITIONS
Authors: Løvdal Alexandra , Vange Jakob , Nielsen Lene Feldskov , Almdal Kristoffer
Published: February 2014

Within recent years, researchers have looked into using polycaprolactone (PCL) as a synthetic biodegradable scaffold for tissue engineering purposes. This study investigated the mechanical properties of an electrospun PCL, while being exposed to physiological fluids at 37°C (in vitro conditions) with and without the influence of cell in-growth. The molecular weight and mechanical properties were monitored during the degradation. Incubation in physiological fluids for 3–16 weeks showed an improvement in mechanical properties and no reduction in molecular weight. It was also shown that cells did not deteriorate the mechanical properties of PCL after 16 weeks. The viability of the cells decreased over time, however, without influencing the mechanical properties of the scaffold. A relation between reduction in molecular weight and the mechanical properties of electrospun PCL was seen between 2–29 days in buffer (pH 12). The accelerated study showed a linear decrease in both elastic modulus and yield stress as a function of degradation time.
Robust Optimization for Smart Manufacturing Planning and Supply Chain Design in Chemical Industry
Authors: Cai Tianxing
Published: February 2014

The depletion of natural resource, the complexity of economic markets and the increased requirement for environment protection have increased the uncertainty of chemical supply and manufacturing. The consequence of short-time material shortage or emergent demand under extreme conditions, may cause local areas to suffer from delayed product deliveries and manufacturing disorder, which will both cause tremendous economic losses. In such urgent events, robust optimization for manufacturing planning and supply chain design in chemical industry, targeting the smart manufacturing, should be a top priority. In this chapter, a novel methodology is developed for robust optimization of manufacturing planning and supply chain design in chemical industry, which includes four stages of work. First, the network of the chemical supply chain needs to be characterized, where the capacity, quantity, and availability of various chemical sources is determined. Second, the initial situation under steady conditions needs to be identified. Then, the optimization is conducted based on a developed MILP (mixed-integer linear programming) model in the third stage. Finally, the sensitivity of the manufacturing and transportation planning with respect to uncertainty parameters is characterized by partitioning the entire space of uncertainty parameters into multiple subspaces. The efficacy of the developed methodology is demonstrated via a case study with in-depth discussions.
Meta-Heuristic Structure for Multiobjective Optimization Case Study
Authors: Ganesan T. , Elamvazuthi I. , KuShaari K. Z. , Vasant P.
Published: February 2014

In engineering optimization, one often encounters scenarios that are multiobjective (MO) where each of the objectives covers different aspects of the problem. It is hence critical for the engineer to have multiple solution choices before selecting of the best solution. In this chapter, an approach that merges meta-heuristic algorithms with the weighted sum method is introduced. Analysis on the solution set produced by these algorithms is carried out using performance metrics. By these procedures, a novel chaos-based metaheuristic algorithm, the Chaotic Particle Swarm (Ch-PSO) is developed. This method is then used generate highly diverse and optimal solutions to the green sand mould system which is a real-world problem. Some comparative analyses are then carried out with the algorithms developed and employed in this work. Analysis on the performance as well as the quality of the solutions produced by the algorithms is presented in this chapter.
Consumer Preference for the Latest Technological Offering
Authors: Boone Sr. Derrick S.
Published: February 2014

Prior research has shown that when making high tech purchase decisions, consumers consider not only the relative advantage afforded by currently available products, but also the relative advantage expected from future generation products. Additionally, empirical evidence suggests that prices for high tech products often decline faster than the technology advances. This chapter takes both these findings into account and investigates the antecedents of expectation formation and how consumer purchase decisions for high- and low-tech products are impacted by asymmetrical rates of technological advance and price decline. Although consumers generally prefer the latest technological generation of a product, level of technological sophistication (high- vs. low-tech), rate of technological change and price decline, and expectations regarding future product introductions, based on familiarity with past product introductions, were found to moderate the effect of technological generation on preference.
Customers’ Perspectives of Internet Banking Adoption in Developing Economies
Authors: Varaprasad G. , Sridharan R. , Unnithan Anandakuttan B.
Published: February 2014

The competition in the banking sector has increased dramatically from the past decade. This increased competition environment in the financial service sector has resulted in the development and utilization of alternative delivery channels. The advancements and revolutions in the communication and information technology have changed the functional scenario of the banking sector significantly. Internet banking is a novel delivery channel of banking and has been found to be an optional channel for the traditional banking because of the savings in time, money and effort. Banks have become more and more competitive to meet the customers demand for ease of use, functionality, relative advantage, greater accessibility and the best of the services at a lower price. The objective of this study is to investigate the factors which influence the adoption of Internet banking adoption in private sector banks of India. Factors such as perceived usefulness, perceived ease of use, perceived risk, relative advantage and trialability have been found to be the determinants of Internet banking in the previous studies. A new variable called conspicuousness has been introduced in the present study. Such a study has not been reported in the literature in the Indian context. A model has been proposed and tested using various statistical techniques. The findings are of great use primarily for the banks which are planning to offer Internet banking services, and for already existing banks to focus on the gaps. This research article provides valuable insights into the underlying contextual factors of Internet banking behavior for researchers and practitioners. The outcome of the study can be used to formulate new marketing strategies to increase the customer base of Internet banking market.
Practical Machine Learning in Financial Market Trend Prediction
Authors: Lahmiri Salim
Published: February 2014

Using the wavelet analysis for low-frequency time series extraction, the authors in this chapter conduct out-of-sample predictions of the S&P500 price index future trend (up and down) following two trading strategies. In particular, the goal is to separately predict an increase or decrease of stock market by 0.5%. Indeed, predicting market increases by 0.5% is suitable to active portfolio managers, whilst predicting its decreases by 0.5% is suitable to risk-averse portfolio managers to limit losses. The Support Vector Machine (SVM) with polynomial kernel is used as the baseline forecasting model. Its performance is respectively compared to that of the Probabilistic Neural Networks (PNN) and the well known k-Nearest Neighbour (k-NN) algorithm, which is a statistical classifier. The simulation results reveal that the predictive system based on the SVM with wavelet analysis coefficients as inputs outperforms all the other systems. The achieved accuracy is 98.13%. As a result, it is concluded that the wavelet transform and SVM as an integrated system are appropriate to capture the S&P500 price changes by more or less than 0.5%.
Support Vector Classifiers for Prediction of Pile Foundation Performance in Liquefied Ground During Earthquakes
Authors: Samui Pijush , Bhattacharya Subhamoy , Sitharam T. G.
Published: February 2014

Collapse of pile-supported structures is still observed in liquefiable soils after most major earthquakes and remains a continuing concern to the geotechnical engineering community. Current methods for pile design in liquefiable soils concentrate on a bending mechanism arising from lateral loads due to inertia and/or soil movement (kinematic loads). Recent investigations demonstrated that a pile or pile group can become laterally unstable (buckling instability/ bifurcation) under the axial load (due to the dead load) alone if the soil surrounding the pile liquefies in an earthquake. This is due to the liquefaction-induced elimination of the soil bracings and the governing mechanism is similar to Euler’s buckling of unsupported struts. Analysed are 26 cases of pile foundation performance in liquefiable soils giving emphasis to the buckling instability using Support Vector Machine (SVM) method. SVM has recently emerged as an elegant pattern recognition tool. This tool has been used to classify pile performance against buckling failure. Each of the case studies reported is represented by four parameters: Effective buckling length of pile (Leff), the allowable load on the pile (P), Euler’s elastic critical load of the pile (Pcr) and minimum radius of gyration of the pile (rmin). The performance of the developed SVM is 100%.
Application of Measuring Capability Index in the Export of the Measurement Requirement
Authors: Li Jin Hai , Wang Da Wei
Published: February 2014

Measurement process is a specific process to support product quality, and export measurement requirements is the beginning of the measurement process control, it is important to achieve the goals of product quality and manage risk of incorrect measurement results. Measurement requirements, including the requirements for the measurement process and the requirements for measuring equipment, measuring requirements, measuring staff, measurement method, ambient conditions and the measured object as a system, use Measurement Capability Index, quantitatively export measurement requirements of measurement processes and measuring equipment to ensure that measurement processes and measuring equipment satisfy the intended use, make the process of measurement requirement derived more scientific and more standard.
Design and Implementation of an FFT Phase Difference Measuring Method
Authors: Zhu Xiong Wei , Chen Hui Min
Published: February 2014

The conventional phase difference measuring methods in the phase shift laser range finder are usually implemented with complex hardware circuits and phase discrimination algorithm. In this paper an FFT phase difference measuring method is designed and implemented based on STM32F407VG microcontroller. This method takes the advantage of the pre-set and fixed frequency of the beat signal by setting the analog-to-digital conversion rate precisely and making the input data length of FFT integral multiples of the beat signal period. In this way spectrum correction is no need. The hardware circuits and phase discrimination algorithm is simplified. The test results show that the phase difference measuring accuracy of 1/12000 is achieved.
A Study on the Implementation of Home Wellness Robot Self-Localization Using RSSI and Trilateration
Authors: Lee Byoungsu , Kim Seungwoo
Published: February 2014

This paper develops the design technology of a sensing platform for the HWR to perform a role of both health and life care in an aging society. The localization of indoor mobile robot is so important for its elaborate trajectory control. We set research focus on self-localization in this paper. The RF sensor network system is installed to improve its self-localization ability so that the HWR can identify its own location and track the path very well. A fusion algorithm using RSSI(Received Signal strength indication) and trilateration is also proposed for the agile self-localization. It is implemented by new configuration of novel sensing architecture and embedded software. Finally, we confirm its good performance through the resultant data of live tests.
Converter Gas Recycle System Based on PLC
Authors: Chen Ya Guang
Published: February 2014

Converter gas has plenty of heat energy and its recycle is very meaningful. The paper introduces the classical gas recycle outline. The system mainly consists of the converter and electrical control unit. The electrical control unit employs different devices to get rid of the moisture or dust and PLC and analyzers to accomplish gas recycle.
Design of Controlled 16-Bit PWM Signal Based on C8051F020
Authors: Liu Kai Xu , Duan Yu Bo
Published: February 2014

C8051F020 MCU with rich external resources on-chip, in the electromagnetic stress test excitation signal or a power conversion circuit design, it can provide comprehensive control PWM signal and signal system, simplify the circuit hardware. This paper uses the voltage feedback signal through the C8051F020 single chip ADC0 conversion, and converts the result to send PCA0 module implements the 16-bit PWM signal output. At the same time generating a PWM signal, use ADC0 Window Detector achieved over the range of the input value alarm and protection, also, because the ADC0 is 12-bit, so, in the program for PCA0 values were trimmed, PWM signal output frequency can be set have been achieved and verified by experiment design conclusions.
Phase Unwrapping for 3D Shape Measurement of Discontinous Surface
Authors: Li Wen Guo , Duan Shao Jun
Published: February 2014

A phase unwrapping algorithm for 3D shape measurement of discontinous surface is presented. The proposed phase unwrapping algorithm can overcome the phase discontinuous problem.Three channel values in HSV space are completely employed to calculate the pattern color information intensity, the relative position relationship between adjacent pixels hue channel value is used to decide absolute phase fringe order. The proposed unwrapping algorithm can be applied to the measurement for 3d object with large height steps and/or spatially isolated surfaces. The correctness of the proposed algorithm is validated by our simulated experiment.
GPRS Data Transmission in the Application of Remote Monitoring System of Water Conservancy
Authors: Guo Zhi Jun , Yu Xian Feng
Published: February 2014

Through the overall analysis to the irrigation water management, according to the characteristics of data acquisition and monitoring, the author designed and completed a monitoring system which based on the wireless network GPRS. This system uses a SQL serve 2000 database and Delphi7 programming software, which includes several functions, such as the monitoring data acquisition, processing, voice communication and man-machine interface and so on. At the same time, this system adapted a kind of low power consumption and high performance embedded processors and GPRS module, carrying out the acquisition transmission control integration, solving the water supply engineering every link of the monitoring data acquisition and monitoring. It also provides some reliable solutions for the remote monitoring for irrigation water management.
Design of Automatic High-Voltage Capacitor Charging System
Authors: Yang Jia Zhi , Yi Sheng Li , Yang Fei , Wang Xi Le , Yang Fan
Published: February 2014

A high precision, rapid and automatic high-voltage capacitor charging system is needed for pulse power system. A charging system based on high-voltage capacitor bank as energy storage device and c8051f020 MCU as control system, is designed in this paper .The hardware of this system includes a voltage measurement and control circuit, operation and display screen circuit, optical coupling circuit, fiber optical transceiver circuit. The software of this system uses closed-loop control algorithm to control the motor of voltage regulator, and the voltage of high voltage capacitor is charged from 0 to 20KV. By analyzing for the data of experimental and adopt the method of curve fitting, a modified voltage control algorithm is established. The modified algorithm improves the accuracy of charged voltage for high voltage capacitor to more than 99%.
Research on Roadbed Settlement Measurement with Laser Spot Detection Based on Ellipse Fitting
Authors: Xing Jing Hong , Li Xiang Wei , Zhao Lang Tao
Published: February 2014

Detecting the location offset of laser spot center method to monitor roadbed settlement is a kind of portable, easy to layout method. Detection laser spot center offset, we can use gravity, circle fitting, ellipse fitting and Gaussian curve fitting, etc method. Gravity algorithm is only involves basic arithmetic and low precise, and ellipse fitting is higher precise. Because of the angle between the optical axis and the target, the laser spot is more approximate as a ellipse. Using the ellipse fitting algorithm, Sub-pixel precise threshold segmentation and Canny edge extraction we obtained an ideal monitoring precise of the roadbed settlement.
Research on the Technical Fields Distribution of Patents Licensing of Chinese Firms in the Next-Generation Information Technology Industry
Authors: Qiao Yong Zhong , Liu Si Wen
Published: February 2014

By analyzing the patents licensing data of Huawei, Lenovo, ZTE and Datang in the next-generation information technology industry in China, the following conclusions can be drawn: Huawei and Lenovos technical fields of patents licensing respectively concentrate on the field of the manufacture of assemblages of electrical components, the fields of the speech analysis or synthesis, the speech recognition, the speech or voice processing and the speech or audio coding or decoding, ZTE and Datangs technical field of patents licensing both concentrate on field of the selecting.
A Brief Introduction to the Measuring Methods for Sediment Concentration of Runoff and Providing a New Idea
Authors: Zhang Bing , Gao Ye Xin , Cui Hao Hao
Published: February 2014

This paper introduces the main measuring methods for sediment concentration of runoff, including the traditional methods, such as ultrasonic method, infrared method, γ-ray method, as well as the newly proposed methods, such as capacitance method , specific heat method. But each of these methods has their limitations. X-ray measuring method for sediment concentration of runoff is good at the measuring accuracy and range, it is sure that X-ray method can open up a new path for measuring sediment concentration of runoff.
A Survey on Localization Algorithms in Wireless Sensor Networks
Authors: Gao Lu , Li Zhong Min
Published: February 2014

In the applications based on Wireless Sensor Networks (WSNs) , localization is one of the most fundamental and important technologies if the accurate location information cant be determined, these application cant be accomplished. Then main idea in localization algorithms is that every unknown node in WSN can localize itself by position information from the landmarks or other nodes. in the last years localization is still a hot field and some new algorithms are proposed. In this paper, the localization algorithms are classified on the basis of the way to get position information, and a simple analysis is present. the paper are ended by discussing some open issues.
Orientation Estimation for Motion Capture Unit with Significant Motion Interference
Authors: Tian Ling Tong , Huang Zhi Pei , Sun Yi , Ji Lian Ying , Tao Guan Hong
Published: February 2014

The orientation estimation is a critical technique in inertial sensor based motion capture systems. One challenge of the orientation estimation is that it suffers from the acceleration interference due to body segment motion, especially when the acceleration interference is significant. In this paper, we propose a quaternion based orientation estimation algorithm using unscented Kalman filter. In the algorithm, the acceleration interference is taken as an element of the state vector and estimated in the algorithm together with the orientation quaternion, knowing that the acceleration interference can be predicted based on the rotational angular velocity. The experiments were conducted using both computer simulation and in real-world motion scenarios. Both experimental results have shown the effectiveness of the proposed orientation estimation algorithm.
Investigation on Spin-Stabilized Projectile Trajectory Observability Based on Flight Stability
Authors: Khalil Mostafa , Rui Xiao Ting , Zha Qi Cheng , Hendy Hossam
Published: February 2014

To accurately estimate the projectile ballistic trajectory, where the real impact point can not be identified in case of indirect firing, a 3D tracking radar with Doppler is used during the first portion of projectile trajectory to estimate the projectile attitude and angular motion during flight, and hence; compute the impact point using a nonlinear six-degree-of-freedom 6-DOF trajectory model. A numerical study is done to investigate the effect of the flight stability of a 105mm artillery projectile on the length of Doppler radar data needed to accurately estimate the projectile impact point. A discrete time transfer matrix method DTTM-4DOF is used to estimate the in-flight projectile angular motion using Doppler radar measurements. Simulated Doppler radar data are generated using the 6-DOF model including the projectile initial disturbance problem.
Study on the First Arrival Cycle Based Analysis Methods for Sound Speed of In Situ Acoustic Measurement in Water
Authors: Zou Da Peng
Published: February 2014

The in-situ acoustic measurement is very important in geoacoustics and underwater acoustics. An in-situ acoustic instrument of Attenuation Array is used to measure sound speed of water to examine the different data analysis methods. Based on the first arrival cycle (FAC) judgment method, point judgment based data analysis method (PJDAM) and cross correlation based data analysis method (CCDAM) have the similar results of sound speed as 1479.4±0.6 and 1480.5±2.1 m/s respectively in a wide range of measurement frequency changing from 100kHz to 300kHz, which is very close to the standard sound speed of 1480 m/s of water measured in-situ with CTD. The analysis method will be useful in in-situ measurement of seafloor sediment.
Optimal Quality Control Based on Mascot and PTM Score Model for Phosphopeptides Identification
Authors: Chen Xiao Zhou
Published: February 2014

There are currently various algorithms with mass spectrometry in phosphorylation identification. Some quality control methods have also been proposed. However, a detailed comparative analysis among various methods has not been reported. In the paper, based on the theory of forward-reverse databases searching, we compare current major algorithms in database searching and identification i.e Mascot and Sequest, and compare various aspects and methods of algorithms in site assessment. We propose an effictive quality control method. Our result shows that this method can ensure the quality of identification and identify more phosphorylation sites.
Visual Technique for Detecting Weld Position Based on Neural Network Technology
Authors: Li Zhao Yu , Gao Xiang Dong
Published: February 2014

Seam tracking technology is an important area of research automatic arc welding, precise seam tracking is crucial to achieve high quality welds. In order to achieve precise seam tracking, seam deviation (the weld center arc deviation) detection is a key. Unlike the conventional method by image processing techniques to obtain the seam deviation information directly, but selected image processing area (including the distal end portion of the molten pool welds and the front end of the pool), and analyzed as a pool image centroid characteristic parameters of the weld deviation. Study these parameters to create a new method for visual weld deviation measurement model, establish the weld center neural network model using artificial neural network modeling technology.
Portable Digital Liquid Density Measurement System Based on AT89C52
Authors: Wang Wen , Li Jie Qiong , Qiu Han Yang , Wang Zheng Lei
Published: February 2014

A portable digital liquid density measurement system was designed. According to Archimedes principle that a sinkers buoyant force in some liquid is related with liquid density, the system proposed converted analog signal of a pressure sensor into digital signal which can be processed by AT89C52 microcontroller using ADHX711 with high accuracy. Temperature calibration was considered in data processing, which made it possible to accurately measure liquid density at different temperatures. Experiment results show that the method proposed is superior to traditional methods.
A Research of Improving Data Fusing Algorithm Localization in Multistaic Sonar
Authors: Sun Yong , Zhao Jun Wei
Published: February 2014

For the purpose of improving the localization accuracy of bistatic sonar in baseline districts and side districts, the most effective method is to increase the number of transmitting and receiving stations, which forms a multistatic sonar system. The mature algorithm of multistatic sonar system which contains three distance measurements volume in one subset, calls the multistatic time-only localization (TOL) algorithm. This paper proposes a new algorithm which merges the TOL algorithm and IBOL algorithm. of improving the bearing-only localization algorithm. The simulation results show that the proposed localization algorithm exhibits higher accuracy compared with the TOL algorithm and IBOL algorithm. This new method can take full application of the measured information to improved the localization accuracy in the whole controlled area.
3D Finite Element Analysis and Full-Scale Testing of a Self-Anchored Suspension Bridge
Authors: Yang Jian Rong , Bai Yu , Yang Xiao Dong , Zhu Wei Ming
Published: February 2014

Three dimension finite element analysis and full-scale testing are carried out on a newly-built self-anchored suspension bridge. The 3D finite element model of the bridge is generated using a commercially available finite element package. The bridge is modeled under service loads, and the model results are compared to the results of field testing of the structure. Detailed experimental procedure is presented including the data acquisition system, testing truck, and the load distribution. Measured and calculated displacements are in reasonable concordance. And residual deformations meet the specification of the codes, no cracking opening.
Design of a Vibration-Based Pipeline Leak Detection System
Authors: Wang Qi , Hong Kai Xing , Chen Xiang Xian , Huang Hai
Published: February 2014

This paper develops a pipeline leak detection system based on vibration analysis method. It introduces hardware designs, experimental methods and diagnosis algorithms. The system uses the generalized cross-correlation (GCC) algorithm to analyze the vibration signals stimulated by pipeline leakage. And the analysis is weighted by three methods, including ROTH, SCOT and PHAT method. The results show that this system can quickly and accurately detect the pipeline leakage.
Electromagnetic Excitation for Infrared Thermography NDT
Authors: Zhou Jian Min , Cai Li , Li Peng , Hu Lin Hai
Published: February 2014

Electromagnetic excitation infrared thermography testing is a new nondestructive testing technology. The electromagnetic excitation impact the detection results directly. In order to obtain better detection results, electromagnetic excitation source was studied in depth by domestic and foreign scholars. In this paper, current research status of electromagnetic excitation source for infrared thermography NDT was introduced in simulation and experiment aspects. Then the research results of scholars domestic and abroad are summarized, the research contents remains to be studied are analyzed, aimed at promoting the development of the technology.
Evaluation and Signal Conditioning of Piezoresistive Silicon Pressure Sensor
Authors: Gao Xin , Mackowiak Piotr , Mukhopadhyay Biswajit , Ehrmann Oswin , Lang Klaus Dieter , Ngo Ha Duong
Published: February 2014

The piezoresistive silicon pressure sensor used in this work is developed by Technical University Berlin. It is mainly composed of a silicon-membrane and four implanted piezoresistors connected in form of a Wheatstone bridge. After wire bonding, the sensor was evaluated in a climate cabinet at different temperatures and pressures. The characteristic curve of the sensor shows its good linearity and strong dependence on the temperature. The sensor ́s temperature coefficient of sensitivity and zero shift were compensated using ASIC MLX90308. The experimental results show that this method of compensation accurately solved the sensors temperature dependence problems.
Simulation Study on Multi-Frequency Signal Detection in Perimeter Intrusion Detection System by Matlab
Authors: Li Zhi Gang , Chen Ling Yun , Wang Ming Ji , Li Yu Shuang
Published: February 2014

Multi-domain perimeter intrusion detection system by one machine is based on leaky cable. To solving the problem that the multi-frequency electromagnetic disturbance signal detection circuit is complex and repeated, a method is raised, which is without processing by different frequency, sending the intrusion disturbance signal from multisport to processing circuit to perform FFT, contrasting it with signal spectra without disturbance by frequency analysis, and determining if intrusion happened, the number of intrusion case, detailed place and domain. Simulation study is performing by Matlab, which demonstrated the feasibility and advantage in the project.
FBG Concentration Chemical Sensor with Three Layer Structure
Authors: Wu Zhao Xia , Li Yu Cheng , Gu Er Dan , Jin Wei , Li Wen Chao
Published: February 2014

FBG concentration chenical sensor with three layer structure is proposed in this paper. And through experimental study and reasoning calculation to verify the three layer structure of the optical waveguide model, so the sensitivity characteristic of the Bragg wavelength to the refractive index of chemical solution is obtained. And the relationships between the concentration and the shift of Bragg wavelength of sucrose, ethanol, and Nacl solution are achieved. Finally the shifts of the Bragg wavelength with the external concentration are obtained by experiments.
A Fault Feature Extraction Method Based on LMD and MSE for Reciprocating Compressor
Authors: Xu Min Qiang , Zhao Hai Yang , Wang Jin Dong
Published: February 2014

This paper presents a feature extraction method based on LMD and MSE for reciprocating compressor according to the strong nonstationarity, nonlinearity and features coupling characteristics of vibration signal. The vibration signal was decomposed into a set of PFs, and then multiscale entropy of the first several PFs were calculated as feature vectors with different scale factors. Based on the maximum of average Euclidean distances, the feature vectors which have the best divisibility were selected. The feature vectors of reciprocating compressor at different bearing clearance states were extracted using this method, and superiority of this method is verified by comparing with the results of sample entropy.
Research on Single-Phase Grounding Fault in Distribution Networks with a DC Power Positioning Method
Authors: Li Run Sheng
Published: February 2014

Due to the high ground fault resistance and the complexity of power distribution network structure (such as too many nodes, branches and too long lines), adopting common traveling wave method and ac injection method can not effectively locate the single-phase grounding fault in the distribution network system.To solve above problems and determine the position of the point of failure prisely, this paper adopted the dc location method of injecting the dc signal from the point of failure under the power outage offline. This paper introduces the single phase dc method and the method of three phase dc, and the simulation shows that the dc location method is effective and feasible.
Research and Simulation on Interference Signal Detection of Distributed Generation Connected to the Grid Based on Duffing Oscillator
Authors: Zhao Jing Tao , Zhang Min , He Xiang , Fu Qiang
Published: February 2014

The chaotic system is sensitive to initial value,and this characteristic can be applied in the interference signal detection.There are periodic state,critical state and chaotic state in a chaotic system.When the system is in the critical state,a small perturbation of system parameter may lead to a qualitative change of the systems state.This paper introduces a method to detecting interference signals based on the chaotic system and a new idea of using it into the detection of distribution network disturbance when distributed generation is connected to the grid.In this paper we choose the duffing oscillator as a chaotic system to study,use MATLAB to carry on the simulation,and research the changes of the system when the interference signal to be detected is added to the system.By means of observing the phase locus chart and time domain chart the interference signal will be detected.
A Modified Limited Memory BFGS Method for Non-Convex Minimization
Authors: Li Ting Feng , Zhang Yu Ting , Yan Sheng Hui
Published: February 2014

In this paper, a modified limited memory BFGS method for solving large-scale unconstrained optimization problems is proposed. A remarkable feature of the proposed method is that it possesses a global convergence property even without convexity assumption on the objective function. The implementations of the algorithm on CUTE test problems are reported, which suggest that a slight improvement has been achieved.
A Specular Shape-from-Shading Method with Constrained Inpaiting
Authors: Ma Ji Quan , Kong Fan Hui , Zhao Peng , Gong Bing
Published: February 2014

The existence of specular highlights is a great obstacle of shape-from-Shading. For a single gray-scale image with only intensity information, the existed highlights detection methods based on chroma or polarization analysis cannot directly be applied on it. So, a method using surface shape is provided, it makes full use of the imaging process. Through the surface normal estimation, compute the maximum a posteriori probability of each reflection composition under simulated annealing and detect the highlights areas. Finally, remove the highlights based on the assumption of curvature continuity. Experiments reveal that this method is effective on synthetic and real-world images, improves the accuracy of surface recovery for image combined specular highlights.
An Approach of Image Semantic Automatic Tagging Based on SVM
Authors: Fu Ju Chun
Published: February 2014

To find the need of images from Internet is a heavy work, image annotation techniques can be used to help us quickly find the required images, the traditional image annotation method can't between the image and text classification, cannot achieve most web users demand, this paper proposes an image semantic annotation technology automatically, based on the SVM technology. The first we map image visual feature to one or more images of rough concept by using annotation, then we preprocess web page text information, lastly, we selected high similarity of keywords as image annotation. From the experimental effect it can effectively improve the image tagging precision.
An Image Fusion Method Based on the Combination of Lifting Wavelet and Median Filter
Authors: Jiang Ze Tao , Zhang Li Wen , Zhou Le
Published: February 2014

At present, image fusion universally exists problem that fuzzy edge, sparse texture. To solve this problem, this study proposes an image fusion method based on the combination of Lifting Wavelet and Median Filter. The method adopts different fusion rules. For the low frequency coefficient, the low frequency scale coefficients have had the convolution do the square respectively to get enhanced edge of the image fusion. Then the details information of original image is extracted by measuring region characteristics. For high frequency coefficient, the high frequency parts are denoised by the Median Filter, and then neighborhood spatial frequency and consistency verification fusion rule is adopted to the fusion of detail sub-images. Compared with Weighted Average and Regional Energy , experimental results show that edge and texture information are the most. Method in study solves the fuzzy edge and sparse texture in a certain degree,which has strong practical value in image fusion.
Power Information System Risk Assessment Method Based on Genetic Algorithms and Neural Network
Authors: Yang Heng , Fan Ru Sen , Xu Dong Hui
Published: February 2014

In order to scientifically and accurately evaluate power information system, the new power information risk evaluation method based on the genetic algorithm and BP neural network is presented. The method combining the genetic algorithm and BP algorithm can be used to train the feedforward neural network , namely, first , to use the genetic algorithm to do the global training, then ,to use BP algorithm to do local precise training ,which not only overcomes the drawbacks of the traditional BP network (the training time is long, and the network is easy to fall to local extremum),but also improves the global convergence efficiency. The method was adopted to evaluate the power information system. And findings identify that the new method has distinctive convergence speed and high predicition accuracy, which provides a new concept for power information system risk assessment.
Simulations of Linearity of Buffon’s Needle Problem
Authors: Wang Yong Liang
Published: February 2014

The expected number of crossings of Buffon's needle problem is linear if the distance d between the lines of the ruled paper is less than or equal to the length l of the needle. With the help of Dynamic Geometry Super Sketchpad software, two vivid simulations of the linearity of Buffon's problem are given, that is, the expected number E(l ) satisfies E(x+y) = E(x) + E(y) and E(rx) = rE(x).
Steel Strip Defect Detection Based on Human Visual Attention Mechanism Model
Authors: Xu Shuai Hua , Guan Sheng Qi , Chen Long Long
Published: February 2014

According to the characteristics of steel strip, This paper propose the strip defect detection algorithm which is based on visual attention mechanism. First, extract the input image color, brightness and orientation characteristics and form simple feature map; secondly, prognosis on the features, get defective attention region by threshold segmentation to color characteristics of colored defect image. The wavelet decomposition to colorless defect image of brightness and direction features will form the multi-feature subgraph; then construct feature difference molecular graph through the feature decomposition map around central difference operations, and the characteristic difference of molecular graph is formed by the fusion of feature saliency map; finally, defect targets by using local threshold method and region growing segmentation. The experimental results show that this method can rapidly and accurately detect the defects of the strip image, at the same time it can improve the efficiency of detection.