bluuebunny/crossref_metadata_2025 huggingface dataset:
Technical Regulation for Numerical Simulation on Processing Technology of Large Forgings
Authors: Zeng Pan , Fang Gang , Lei Li Ping
Published: March 2013

The technical regulation for numerical simulation on processing technology of large forgings has entered into official supporting of National Key Special Project. This paper describes the outline of drafting the regulation. Special concerns are paid how to get a reliable numerical simulation result from material properties, nonlinear problems, convergence and verification, etc. Some main issues are pointed out and discussed.
Development of a Therapeutic Device for Osteoporosis
Authors: Yue Tian , Tao Lei
Published: March 2013

Pulsed electromagnetic fields (PEMF) have been reported as a non-invasive way in the prevention and treatment of osteoporosis. A new PEMF generator was designed to produce more homogeneous magnetic field than normal Helmholtz coils. The intensity and distribution of magnetic field y were calculated theoretically. The results showed that magnetic field generated by improved Helmholtz coils (three identical coils) is more intensive and homogeneous than normal Helmholtz coils (two identical coils). Moreover, this apparatus might play a significant role in the study of biological effects of PEMF on osteoporosis.
The Total Design of Reverse Engineering CAM Module Based on Pro/NC
Authors: Fan Jun
Published: March 2013

Reverse engineering technology is an important part of advanced manufacturing technology. The CAM module is one of the key modules of integrated reverse engineering CAD/CAM system, its research and development has the important theory significance and project application value for the successful implementation of integrated reverse engineering CAD/CAM system. This paper systematically analyzes the functional model and information integration model of CAM module, using the Pro/Toolkit tool in the Pro/NC environment to achieve CAM function of the technical scheme, and as the basis for the development of the integration in reverse engineering CAD/CAM system, has strong ability of automatic processing module of CAM. Research and development of practice show that the scheme proposed in this paper is more advanced, feasible and practical.
Policy-Combination Oriented Optimization for Supply Chain Simulation
Authors: Tan Wen Zhe , Li Xin , Chai Yue Ting
Published: March 2013

Supply chain simulation is able to capture the dynamics and uncertainties in all kinds of supply chains and provide quantitative performance evaluations. In order to address the time consuming evaluation and large search space issues in supply chain simulation, this paper proposes a policy-combination oriented optimization approach to conduct decision makings. The approach begins with reducing the search space by relaxing the goal of optimization, and then refers to meta-heuristic searching methods to solve the main bi-level optimization problem. Lastly the key parameters are fine-tuned with what-if analysis. A case study demonstrates the effectiveness and efficiency of the proposed approach, and compares it with other alternative approaches available in practice.
Design and Implementation of the Simulation Information System of Marine Oil Spill
Authors: Rong Zhan Dong , Yang Bo , Qu Hai Peng
Published: March 2013

Migration and diffusion of oil spill in sea is an extremely complex issue by the impact of the oil features and a variety of environmental factors, undergoing expansion, drift, evaporation, dispersion, emulsification, dissolution, photo-oxidation, biodegradation and their interactionsand many other processes ，at the same time has a direct relationship with the local meteorological conditions and law motionofseawater. Marine oil spill behavior analysis and research of the system, using VB technology and C#technical design and development of a marine oil spill simulation system based on Geographic Information System (GIS). The system using cloud-based GIS for a platform, using the Monte-Carlo method to simulate the behavior of chemicals in seawater on the system of cloud computing, the organic integration of GIS system application model
Tracking Control of an Uncertain MEMS Resonator via Adaptive Terminal Sliding Mode Control
Authors: Yang Chi Ching , Guo Rong Hao
Published: March 2013

The purpose of this study is to develop the adaptive terminal sliding mode scheme to control a MEMS resonator with a six-powered potential function for tracking a given reference signal in the presence of system uncertainties and external disturbances. The proposed adaptive controller includes the time-varying feedback gains can tackle the nonlinear dynamics without directly eliminating. Meanwhile, these time-varying feedback gains are adaptively updated according to the suitable updated rules without the known bounds of system uncertainties and external disturbances. Some sufficient conditions to guarantee the stability based on Lyapunov theory and numerical simulations are performed to demonstrate the effectiveness of the presented scheme.
Mean Shift Tracking with Advanced Background-Weighted Histogram
Authors: Alemu Abebe Yirga , Pei Zhi Jun , Zhang Jun
Published: March 2013

Tracking objects in videos using mean shift technique has brought to public attention. In background-weighted histogram (BWH) algorithm proposed by Kernel-Based Object tracking attempts to reduce the interference of background target localization in mean shift tracking. However, in this paper we prove that the weights assigned to pixels in the target candidate region by BWH are proportional to those without background information, i.e. BWH does not introduce any new information because the mean shift iteration formula is invariant to the scale transformation of weights. We then propose an Advanced BWH (ABWH) formula by transforming only the target model but not the target candidate model. The ABWH scheme can effectively reduce background’s interference in target localization and for the target not well initialized, it can still robustly track the object, which is hard to achieve by the conventional target representation and it lead to faster convergence and more accurate localization than the usual target representation in mean shift tracking.
Design Optimization of Composite-Insulated Telescopic Aerial Boom
Authors: Hong Dong Pyo , Lee Byoung Kuk , Park Chan Gon , Wang Seung Ho , You Seok Jun , Hong Yong
Published: March 2013

Telescopic aerial boom system is used transport the object or can be used to ease working high altitude. Installation of high voltage transmission tower due to urbanization is increasing. Because working on high places such as wiring operations and electrical maintenance has increased the demand.Boom of aerial work platform are made of steel. So, necessity for safe isolation aerial work platform used for electrical work is increasing. This paper is proposed about applied to the material used in the aerial work platform boom. Insulating material was applied to the aerial work platform the last end boom in boom system. In this paper the structural analysis and formulation of the methodology for the design optimization of telescopic aerial lift boom system is presented. The main objective of the design optimization is to obtain lightweight boom system by optimizing boom cross-section shape, overlap length and plate thicknesses in the worst condition possible. The design optimization problem is formulated as minimizing the weight of the boom system. In this paper analyzes the design of the telescopic aerial boom system of applying the insulating material using the Ansys.
Integrated Design of Feedback Controller and UIO: An LMI Solution
Authors: Liu Yue , He Ai , Wang Bin , Wang Xi
Published: March 2013

Fault diagnosis in a closed-loop gas turbine engine control system poses a great challenge since that the involved controller is to keep system stability, which desensitizes fault diagnostic performance. In this paper, a design algorithm that integrates various feedback controllers and unknown input observer (UIO) has been proposed. In this method, the controller has been considered as the state of an augmented model by combining the controller and the gas turbine model. Then the UIOs for fault detecting and isolating has been designed for this augmented model to obtain the parameters of the concerned controller and UIOs simultaneously. Moreover, this integrated design process has been formulated as linear matrix inequalities (LMIs). One notable feature of this algorithm is that the integrated design can weaken the effect of a feedback controller on output residual generator and maximize the robustness of UIO against unknown disturbances. Experimental results on a gas turbine engine illustrate the effectiveness and applicability of the proposed algorithm.
Design of Prototype System for Seafloor Observatory Network
Authors: Li Xiu , Gao Fu Xin , Zhou Lin Fei , Yan Tian Xiang
Published: March 2013

Developing the seafloor observatory network(SONet) is very significant for the human to explore the ocean resources. The information system of seafloor observatory network provides a platform for scientists to research the seafloor activities, which is a kind of open and complex system referring to diverse engineering and disciplines. The data acquiring, storing and management of the observatory instruments are the major parts of information integration. A prototype system based on the SOA(Service-oriented Architecture) is designed to manage information and knowledge in SONet. The SOA architecture, interface and device encoding mechanism are presented. Benefit from this, construction and application of the system can provide a uniform information and knowledge platform in the ocean field.
Automated FE Analysis for Heat Sink of LED Modules
Authors: Lee Joon Seong , Park Dong Keun , Choi Youn Jong
Published: March 2013

This paper describes an automatic finite element (FE) mesh generation for FE analysis of LED modules. It is consisting of element generation, bubble packing and solid geometry modeler. This automated FE analysis system including bubble packing method consists of three sub-processes: (a) definition of geometric model, i.e. analysis model, (b) generation of bubbles, and (c) generation of elements. One of commercial solid modelers is employed for three-dimensional solid structures. Bubble is generated if its distance from existing bubble points is similar to the bubble spacing function at the point. The Delaunay method is introduced as a basic tool for element generation. The developed system allows designers to evaluate detailed physical behaviors of structures through some simple interactive operations to their geometry models. To demonstrate practical performances of the present system, the system was used to an analysis of heat sink. Practical performances of the present system are demonstrated through several examples for heat sink of LED modules.
Design of Bamboo Strip Detection System Based on Labview and Matlab Mixed Programming
Authors: He Li Ping , Song Shu Xiang , Liu Lei , Jiang Xian Ming
Published: March 2013

According to the domestic situation that bamboo strip detection technology is artificial intervention and low automation, the novel automatic bamboo strip detection system is designed based on Labview and Matlab mixed programming. The real-time detection on bamboo surface defects is realized in the system such as serious damage, stripe, scratch, large area dim. Moreover, the system provides more than 92% detection accuracy and eight strips per second detection rate, both of which can meet the accuracy requirement of practical production. In general, this paper provides a new kind of method for detection system.
Research of Solar Photoelectric Micro-Power Supply on Chip
Authors: He Yong Tai , Xiao Li Xian , Liu Rui Ming
Published: March 2013

In order to reduce volume of MEMS wireless sensor with solar photoelectric micro-power supply, the integration scheme of solar photoelectric micro-power supply on chip is proposed in the paper. The scheme is consisted of seven main process steps, and has higher process compatibility. The characteristics of the integrated devices of the solar photoelectric micro-power supply are analyzed by using the semiconductor theory. The results show the device characteristics meet the requirement of the solar photoelectric micro-power supply. Moreover, the technology improving conversion efficiency of solar cells on chip is proposed by use of the back surfaces field (BSF). The conversion efficiency of solar cells reached 13.4%
Experimental Investigation of CO2 Separation from Hard Coal Flue Gases by 100 cm2 Molten Carbonate Fuel Cell
Authors: Milewski Jarosław , Bujalski Wojciech , Wołowicz Marcin , Futyma Kamil , Kucowski Jan , Bernat Rafał
Published: March 2013

The paper presents an experimental investigation of using a Molten Carbonate Fuel Cell (MCFC) for reducing CO2 emission from the flue gas of a hard coal fired boiler. The MCFC is placed in the flue gas stream and separates CO2 from the cathode side to the anode side. As a result, a mixture of CO2 and H2O is obtained; from which pure CO2 can be obtained by water condensation. The main advantages of this solution are: additional electricity generated, reduced CO2 emissions and higher system efficiency. The results obtained show that the use of an MCFC could reduce CO2 emissions by 90% with over 35% efficiency in additional power generation.
The Design for Express Sorting Based on Image Recognition of Barcode
Authors: Hou Dong Liang , Guo Wen Jun
Published: March 2013

In order to adapt to the trend of electronic business, improve the efficiency of the express sorting, this paper desires to explore the barcode technology on image recognition in the express sorting system. Firstly, it briefs the design scheme, and the structure of the sorting robot. In the second, it discussed the key techniques on image recognition about the barcode. Finally, we do some experiments to prove the feasibility of this method.
A Vibration Data Acquisition System Based on ICP Sensor and Cortex-M3
Authors: Hu Si Quan , She Chun Dong , Yao Hui
Published: March 2013

Vibration data acquisition has comprehensive applications such as machine monitoring, seismic data gathering. This paper presented a design of a vibration monitoring system based on an ICP acceleration sensor and a Cortex-M3 microcontroller. The sensor modulation circuit is illustrated in detail including the constant current source and filtering. An evaluation on the prototype is developed and the results show that our design can successfully monitor the vibration situations of interested objects.
Clustering Analysis Based on Data Mining Applications
Authors: Fan Xue Dong
Published: March 2013

Abstract. In this paper, a clustering algorithm based on data mining technology applications, the use of the extraction mode noise characteristics amount and pattern recognition algorithms, extraction and selection of the characteristic quantities of the three types of mode, carried out under the same working conditions data mining clustering analysis ultimately satisfying recognition.
Handheld Three-Dimensional Thermo-Sensing System
Authors: Li Tao , Kawasue Kikuhito
Published: March 2013

Recently, three-dimensional (3D) measurement technology has achieved a high level of satisfaction in various fields such as medical and engineering fields. However, most of three-dimensional measurement systems have some disadvantages. Once the geometric configuration of the system has been determined, the configuration must be maintained until the measurements have been completed. Another disadvantage is the existence of immeasurable area that inherently exists in a single image taken from a fixed angle. In this paper, a handheld three-dimensional thermo-sensing measurement system is presented. This system is composed of a three-dimensional measurement device and a thermographic device. To realize the handy scanning measurement, 3D magnetic sensor is attached on the image capturing devices. Since the movement of the image capturing devices is detected in real-time by the magnetic sensor, the immeasurable area can be reduced by free movement of the image capturing devices. On the basis of the presented mathematical model, this system is possible to detect not only the three-dimensional shape but also the temperature distribution of an object. Experimental results show the feasibility of the measurement system.
Image of Monolithic Circuit Segmentation Based on Watershed Algorithm
Authors: Wang Zhu Lin , Fang Bin , Guo Xi Wei
Published: March 2013

Abstract. Image segmentation is a key technology in image engineering, it occupy an important position. This paper introduces the watershed transform to Image of monolithic circuit processing method, and then introduced the watershed transform to Image of monolithic circuit segmentation and sample. The results show that, by using the watershed algorithm and morphological processing function, which is connected with a plurality of object images are segmented into a plurality of single object, to achieve the image segmentation, and as far as possible to reduce or eliminate the phenomenon of over-segmentation. Finally it points out the further direction of research.
Study on Mining Association Rules from Stock Time Series Data
Authors: Tan Xian
Published: March 2013

Rough set theory is a kind of ambiguity and imprecision new mathematical tools, using precise mathematical analysis of imprecise system an ideal method. Rough set theory has powerful data reduction capability, this paper rough set theory to model the stock time series data, reduction, rule extraction, study the ups and downs of the relationship between the stock price, the use of advanced data mining techniques to dig out price linkage between stock association rules, has a very important significance.
Modification of Autocorrelation Analysis Algorithm and its Application
Authors: Li Zong Tao , Guo Yu , Ye Heng
Published: March 2013

Results of autocorrelation analysis algorithm by the LabVIEW are different from the theoretical results. To address the problem, a modification of autocorrelation analysis is proposed in this paper. In the proposed approach, the circular correlation and linear compensation are employed to solve the distortion problem in the original algorithm. Simulation results show that the method can reduce errors of autocorrelation analysis effectively.
Computer Vision Based Orange Grading Using SVM
Authors: Pan Zhi Bin , Wei Xiao Yan
Published: March 2013

Fruit grading is very important for promoting its additional value. We graded oranges based on its images. Four photos were taken from different view angles for each orange. Both RGB and HSI color model were utilized. We extracted a 28-dimensional feature which can describe the size and color of them. Then support vector machine was used to grade these oranges into four levels. Experimental result shows SVM has promising performance for orange grading.
Receding Horizon Control for Uncertain Markov Jump Linear Systems with Time Delay and Actuator Saturation
Authors: Wen Ji Wei
Published: March 2013

A robust receding horizon control (RHC) scheme is developed for uncertain discrete-time Markov Jump Linear Systems (MJLS) with time delay and actuator saturation where the system uncertainties and jumping transition probabilities are assumed to belong to some convex sets. Firstly, when time delay is considered, a sufficient condition of minimizing upper bound of the cost function and mean square stability of the closed-loop system are established based on the Lyapunov Krasovskii function which depend on the current time jump mode. At each sampling time, an optimal control gain can be obtained by solving the semi-definite programming (SDP) problem. Then, the proposed strategy is extended to design robust RHC scheme for uncertain MJLS with both time delay and actuator saturation. Moreover, the domain of attraction can be estimated through a modified invariant ellipsoid. Finally, a numerical example is given to illustrate the feasibility and effectiveness of the proposed method.
Thrust Allocation and Management for Dynamic Positioning Ship with Azimuth Thrusters
Authors: Wei Yu Shi , Fu Ming Yu , Ning Ji Ping , Sun Xing Yan
Published: March 2013

In order to solve the complex thrust allocation problems of dynamic positioning ship with azimuth thrusters, thrust allocation and management system was built. The power optimal thrust allocation was formulated as a quadratic programming problem by the linear treatments of inequality constraints and the optimal solution could be found in a finite amount of time. And some influence factors of thrust allocation were separated from algorithms and treated as a superstratum management module. Using this system, online adjustment of input constraints and singularity avoidance can be realized, and the reliability and adaptability of thrust allocation are improved consequently. Finally, the validity and excellent performance of this method is proved by the simulations.
A Lecture on Current Limiter the Motion Control of Robotic Fish Based on BP Neural Network
Authors: Li Shu Qin , Lin Da , Yuan Xiao Hua
Published: March 2013

Robotic fish is a multivariate and nonlinear controlled object, its work environment is complicated, these lead the motion controlling of robot fish be very difficult. This paper provides a method of robotic fish controlling based on BP neural network, and on URWPGSim2D simulation platform. Using the relative position of the fish robot, the ball and the target point in current cycle, this method can compute the two controlling value of robotic fish, which are the velocity and angular velocity, in the next cycle. The experiments show that this method can efficiently reduce the error that comes from the platform randomness, and robotic fish can run smoothly according to the predefined moving route.
Study of Re-Entrant Lines Modeling Based on Object-Oriented Petri Net
Authors: Xu Shu , Li Fu Ming
Published: March 2013

This article puts forward object-oriented Petri net modeling method, which possesses good encapsulation and modularity compared with current ordinary modeling method. On the macro level, it divides the re-entrant lines into different object modules according to the technology, so that the complexity of models is largely reduced through message delivery between objects. In the micro level, it explains objects' internal operational mechanism, in another word, each object's internal operation cannot be affected by other objects and environment. At last, it makes modeling and dynamic analysis by taking LED chips' processing flow for example, showing that re-entrant lines model based on object-oriented Petri net possesses good modeling ability.
Research on Double-Fed Motor Start Control Technology Based on Inverter
Authors: Lin Cheng Wu , Liu Miao , Shi Jia Lin
Published: March 2013

According to the doubly-fed motor starting control technology specialty, this paper proposes a new doubly-fed motor starting control method. Using detection circuit to monitor rotor voltage of doubly-fed motor in starting process, this method realizes the smooth transition from the asynchronous mode to doubly-fed model by controlling the transient output of inverter. On this basis, built control platform based on PLC and general converter, study the related experiment. Theoretical analysis and experimental results show that the proposed control method is feasible, and suitable for doubly-fed motor starting control process, so it has great practical value.
Convergence Theory of a SAA Method for Min-Max Stochastic Optimization Problems
Authors: Nie Yun Yun
Published: March 2013

Min-max stochastic optimization is a kind of important problems in stochastic optimization, which has been widely applied in subjects such as inventory theory and robust optimization and engineering field. In this paper, we present sample average approximation(SAA) method for a class of min-max stochastic optimization problems, based on a nonlinear Lagrangian function. Convergence of the SAA estimators are analyzed by means of epi-convergence theory,when the Lagrange multiplier vector is optimal and the parameter is small enough.
A Virtual Sample Generation Approach for Blast Furnace Fault Diagnosis
Authors: Sha Mo , Wang An Na , Chu Mao Xiang , Liu Limei
Published: March 2013

The blast furnace faults will cause significant economic and human losses. Therefore, the study of blast furnace intelligent fault diagnosis technology is necessary and important. But some real fault data is difficult to obtain .The training set can not be provided enough samples.So a new virtual fault samples generation method is designed to get enough tainning samples. The designed method uses group discovery technique and the Box-Muller method to generate the candidate virtual fault sample set. And then with the help of manifold contraction and the semi-supervised learning algorithm to select the virtual samples with better performance. By adding the selected virtual samples to the original training set,a new svm fault diagnosis classifier is obtained. The results show that this method can simulate the fault samples effectively,and the new classifier’s accuracy is much more acceptable.
An Intelligent Job Scheduling System in Cloud Computing
Authors: Liu Jing , Luo Xing Guo , Li Bai Nan
Published: March 2013

Cloud computing is a new computing and business paradigm with flexible and powerful computational architecture to offer universal services to users via Internet. The performance of the scheduling system influences the cost benefit of this computing paradigm. Thus, jobs should be scheduled efficiently to reduce the execution cost and time. In this paper, we present an intelligent scheduling system, which considers both the requirements of different service requests and the circumstances of the computing infrastructure which consists of various resource, then, the main components of the system are introduced in detail, at last, the conclusions are drawn and the further research directions of the scheduling systems are pointed out.
Image Retrieval Method Based on Vision Feature of Color
Authors: Dai Ying Meng , Wei Lin Feng , Luo Cong
Published: March 2013

Color histogram is an important technique for color database retrieving, but it often ignores color’s spatial distribution information. This paper proposes an improved color histogram algorithm based on the HSV space, whose subspaces are non-equally quantized. The algorithm first proceeds annular partition on the original image, and then uses the method presented by Aibing Rao etc. [1] to count each partition. At last, it calculates the weighted sums for the distances between distinct color histograms. Experimental results demonstrate that the algorithm reduces the feature dimensions and keeps a good accuracy as well as the spatial distribution information. Thus, a better retrieval result is obtained.
Intelligent Petrol Station Recommender Based on Context Ontology and Rule Inference
Authors: Zuo Hui , Ai Dan Xiang , Yang Jun
Published: March 2013

An intelligent mobile petrol station recommender system based on context ontology and rule inference is deigned. The approach of context ontology modeling specific for mobile recommendation is discussed. And a two-level context ontology model including upper ontology and domain ontology used in petrol station recommender is developed. The generation of recommendation rules based on the context ontologies and the process of the rule inference for recommendation are also demonstrated.
Recognition of Names in Finance and Economics Field of Microblog
Authors: Ding Ge Jian , Xu Ya , Liu Xue , Guo Ting
Published: March 2013

This paper takes microblog as an example, recognising names in finance and economics field by the algorithm combining the use of rules and probability calculation. This method firstly get the candidate names through calculating the probabilities, then choose from the candidate names by matching them with corresponding rules which contain positive rules and negative rules .This method has good robustness and flexibility.
Research on Improve the Generalization Ability of Neural Network Ensemble System
Authors: Ma Ning , Liao Hui Hui , Li Bin
Published: March 2013

This paper solves the overfitting phenomenon in neural network’s training process for improving the generalization ability of neural network ensemble system. It analyzes factors affecting the generalization ability theoretically and proposes methods of improving the generalization ability by research of existing methods and making individual network generation and improving training samples as the breakthrough.
Research on Multiple Cases Database Construction of Case-Based Reasoning Personalized Recommendation System
Authors: Sun Jie Li , Lu Yun , Li Fu Liang
Published: March 2013

The multiple cases database construction is one of the important links to design the personalized recommendation system. Personalized recommendation system case can be organized with multiple cases database based on expert experience and thinking patterns, combined with the traditional case method of organization. This paper studies the multiple cases database construction method of the personalized recommendation system based-CBR.
Design of Embedded Monitoring System for Greenhouse Based on ARM11 and WinCE
Authors: Li Shu Jiang , Luo Cong , Wang Xiang Dong
Published: March 2013

According to the problem that manual controlling process for greenhouse is complicated and low accuracy, this paper designed and realized an intelligent temperature and humidity monitoring system for greenhouse based on ARM11 embedded device and WinCE operating system. This system consisted of wireless sensor, embedded device, drive circuit and execution units. It collected the temperature and humidity of the greenhouse, and then drove the fan, mechanical shutter and sprinkler to regulate the temperature and the humidity. The system is simple, high reliability, and helpful to reduce farmers’ labor and increase efficiency.
Design of Romote Home Intelligent Control System
Authors: Zhang Peng Ju , Guo Gai Zhi
Published: March 2013

The romote intelligent home system design based on WAVECOM Q2406B Module and ARM7 S3C44B0X was elaborated, GPRS technology was used to realize remote control, RS485 bus technique was used to net the home system, and embedded system was used to establish the developing platform of Home Intelligent controller which can realize intelligent management and control of home applications. Partial hardware electric diagram and software flowchart were provided. Field using indicates that this system is economical and flexible.
Electromechanical Coupled Analysis for a Single-Axis Comb Capacitive Accelerometer
Authors: Ma Hong Bo , Li Bo , Zhao Yong Rui
Published: March 2013

This paper presents an electromechanical coupled analysis for a single proof-mass one-axis capacitive accelerometer to supply a reference of design specification for subsequent readout circuit. Considering electrostatic force effect, the displacement of proof mass based on dynamic principle is calculated. Then the output of differential capacitive interface is simulated. It indicates that this accelerometer has a sensitivity of 2.09mV/G and capacitance change of 0.31fF.
The Machine of Teaching Quality Valuation Studies an Analytical Method
Authors: Wang Yun Xia
Published: March 2013

This text describes the research work in machine learning framework for the assessment of teaching quality , mainly focused on the analysis of data on information technology in the teaching process , and the use of artificial neural network method, the experiment , the experimental results reflect the level of teaching quality analysis . Experimental results show that the use of machine learning methods can indeed make a positive contribution to the teaching quality assessment .
Discrimination of Two-Mixture Fragrances Odor Using Artificial Odor Recognition System with Ensemble Backpropagation Neural Networks
Authors: Kusumoputro Benyamin , Na Li
Published: March 2013

The human sensory test is often used to obtain the sensory quantities of odors, however, the fluctuation of results due to the experts condition can cause discrepancies among panelists. We have developed an artificial odor recognition system using a quartz resonator sensor and backpropagation neural networks as the pattern recognition system in order to eliminate the disadvantage of human panelist system. The backpropagation neural networks shows high recognition rate for single component odor, however, become very low when it is used to discriminate mixture fragrances odor. In this paper we have proposed an ensemble of backpropagation neural networks as the pattern recognition system, and by using the ensemble learning mechanisms, the recognition rate is significantly increased, especially when using ensemble neural networks with five components.
Theoretical Model of Electric Field Tunable FMR Frequency of Magnetoelectric Tri-Layered Structure
Authors: Zhou Hao Miao , Chen Qing , Deng Juan Hu , Xiao Ying
Published: March 2013

To study the magnetic-electrical-mechanical coupling mechanism of microwave ME (magnetoelectric) tri-layered structures, we proposed a theoretical model of electric tunable FMR (Ferromagnetic Resonance) frequency shift for bias magnetic field in different directions through the theory of Smith-Beljers and free energy density of ferrite. A deformation produced by the applied electric field called strain could be obtained through the theory of classical laminated plate. This model effectively predicts the stress of laminated structure increases when the piezoelectric coefficient increases, the shift of electric field tunable FMR frequency is more obvious when saturation magnetization and magnetostriction coefficient of ferrite increase. Moreover, it qualitatively explains the experimental phenomena that the directions of FMR frequency shift are opposite when apply the in-plane and out-of-plane magnetic field respectively, and provides a theoretical basis for electric field and magnetic field dual tunable microwave devices.
Classification Algorithm for Naïve Bayes Based on Validity and Correlation
Authors: Dong Huai Lin , Zhu Xiao Dan , Wu Qing Feng , Huang Juan Juan
Published: March 2013

Naïve Bayes classification algorithm based on validity (NBCABV) optimizes the training data by eliminating the noise samples of training data with validity to improve the effect of classification, while it ignores the associations of properties. In consideration of the associations of properties, an improved method that is classification algorithm for Naïve Bayes based on validity and correlation (CANBBVC) is proposed to delete more noise samples with validity and correlation, thus resulting in better classification performance. Experimental results show this model has higher classification accuracy comparing the one based on validity solely.
Early Failure Mode Effect and Criticality Analysis for CNC Machining Tools
Authors: Jia Zhi Cheng , Yang Zhao Jun , Shen Gui Xiang
Published: March 2013

According to the plentiful early failure data collected on the spots of 30 CNC machining tools with ATC (Automatic Tool Changer), FMECA method is used to analyze the main fault mode and facts which usually make a great possible impact on the reliability of these products during early failure period.We find out the fault positions and the ratios of the fault modes and fault causes. We further analyze the fault modes and fault causes which frequently arise in the subsystems and parts. Through the analyses of FMECA, we learn the weak links of CNC machining tools and provide bases for removing the products faults. Suggestions how to enhance reliability level of these products are proposed.
Study on the Gain of Airborne Radar System and its Performance Analysis
Authors: Zhao Ying Hui
Published: March 2013

This paper studies the methodology for the evaluation of the gain of the airborne radar system. Three internal calibration pulses are used to compute the system gain according to the equation, which is derived from the difference of the three calibration paths. The computed absolute gain can be used for the reference for the radiometric calibration of airborne radar system and the experiment data is provided to support the performance analysis.
Structure Design of the Single-Axis Piezoelectric Actuated Stage Using a 4-9-9-14 Piezoelectric Actuator
Authors: Mou Shann Chyi
Published: March 2013

In this paper, a novel piezoelectric actuator structure - 4-9-9-14 piezoelectric actuator is constructed, and it is made of piezoelectric buzzer to drive a piezoelectric actuated stage. The 4-9-9-14 piezoelectric actuator offers a better balanced capability of forward rotation and reverse rotation than the conventional edge-driving piezoelectric actuator. According to the rotational speed experiment, the CW/CCW ratio of the 4-9-9-14 piezoelectric actuator is probably 1:0.8. The movement of the pie-zoelectric actuated stage is read and analyzed by means of data acquisition card and LabVIEW software operating in conjunction with a linear encoder. In a natural environment, plenty of noise interferes with linear encoder signals and results in erroneous addition performed by a counter. Therefore, the LabVIEW program set forth the means of filtering and the method for retrieving a correct position signal.
Forward Kinematics of Six-DOF Parallel Robot Based on Adaptive Differential Evolution
Authors: Ma Liang Shun , Hao Kuang Rong , Ding Yong Sheng
Published: March 2013

Parallel robot inverse kinematics solution is relatively easier to obtain than forward kinematics forward, this paper assumes that the forward kinematics of six-DOF parallel robot is given then using the kinematics inverse solution to approximate the forward solution. To improve efficiency and stability of the approximation, an adaptive parameters differential evolution algorithm is proposed and applied to the forward kinematics problem. The experimental results show that the modified algorithm can gain the forward kinematics of parallel robot efficiently.
Research on Control Algorithm for Mobile Welding Robot Using Kinematics Oscillator
Authors: Meng Xian Chun , Li Kai , Zhang Dong Mei , Zuo Jian Hu , Li Yan Jun
Published: March 2013

The dynamics equation of mobile welding robot is established. In controller design of the mobile welding robot, the non-holonomic constraint is introduced that limits the size of the transverse sliding and avoid the coordinates of the instantaneous center of rotation is larger than the wheelbase, to ensure the robot’s stability. Based on kinematics oscillator, the effect of uncertain dynamic parameters is considered. According to the Lyapunov stability criterion, the control algorithm is deduced. Simulating results by MATLAB software shows that the design of the control algorithm is stable, convergent and effective.
Household Aluminum Foil Roll Cutting Machine Transformation
Authors: Zhang Li Rong
Published: March 2013

Existing household aluminum foil roll machine-controlled cutting machine, finished product rate is low，raw materials waste. To improve product quality, we have the original equipment, based on the design transformation, to reach the job performance requirements.
Compliances Calculation and Performance Analysis of the Novel Half Hybrid Flexure Hinge
Authors: Liu Qing Ling
Published: March 2013

A novel flexure hinge named right circular corner filleted half hybrid flexure hinge was advanced. Based on the Castigliano second theorem, the compliance formulas of the novel flexure hinge were formulated. The theoretical calculations and the finite element simulations were performed simultaneously, the similar results were obtained which indicated the correctness of the compliance formulas. The influence of the geometric parameters of the novel flexure hinge on its performance was analysed. Compared with right circular corner filleted double hybrid flexure hinge, the compliance and sensitivity to the load of the novel half hybrid flexure hinge were better than that of the right circular corner filleted double hybrid flexure hinge. All of the above analysis results indicated the novel flexure hinge are more suitable for application in the compact structure and large displacement.
Study on the Output Signal Modulation for Laser Gyro with Mechanical Dither Bias
Authors: Yao Cheng Kang , Zeng Xiao Dong , Cao Chang Qing
Published: March 2013

The amplitude of the output signal of prisms laser gyro with mechanical dither bias is always modulated. Theoretical analysis and experimental research on the ray trajectories, assembly situation and polarized properties of light were carried out. Results show that during the dither bias, the light transmitting route deviation caused by stress induced birefringence of prisms and the relative displacement between the photodetector and output light spot was the main reason responsible for the modulation. Polarized experiment data demonstrated that when the value of polarized power of output light below the 25.5% of that in ideal static situation, the standard error over 0.0337dBm, and the displacement extent of prism is higher than the 53% of radius of the beam waist in gyro cavity, the amplitude modulation extent of gyro output signal would be up to 16%, which badly influences measurement precision of laser gyro. Using the symmetric structure for laser gyro design, adopting prisms material with a suitable refractive index and reducing the photodetector deviation could reduce the extent of output signal's amplitude modulation obviously.
A 1.2-V 1.76-Ppm/°C Low Voltage CMOS Band-Gap Reference
Authors: Ma Bill , Yu Feng Qi
Published: March 2013

This paper proposes an innovative CMOS band-gap reference (BGR) topology with a curvature-compensation by using MOS transistors operating in weak inversion region. The mechanism is analyzed thoroughly and the corresponding BGR circuit has been implemented in standard CMOS 0.18u technology. The proposed BGR achieves 1.76 ppm/°C in the range of -40°C to 120°C at 1.2V supply voltage. In addition, it consumes only 30uA current.
A Confidential Passive UHF Reader with Cryptographic Technique
Authors: He Wei , Sun Wei Hua , Ma Jun Ling , Li Shi Cheng
Published: March 2013

In this paper, a passive UHF reader design with cryptographic technique SM2 is presented. By designing board compatibility of security module, RFID control module, RF module, communications interface, the passive UHF reader can both operate at common mode and security mode. This design constructs a suitable candidate for reliability, integrity, security of information transmission of RFID application in special field of internet of things.
Design and Simulation of the Inverted F Antenna for RFID Tags
Authors: Wang Bin , Yang Shu Hui , Feng Di , Wang Ting Lan , Su Zhen Wei , Chen Ying Chao
Published: March 2013

In this paper, an inverted F antenna works in the 5.8GHz frequency band is proposed. On the platform of Ansoft HFSS14 , the antenna’s return loss reaches -51.97dB at the center frequency 5.8GHz and the relative bandwidth is about 22.4％ when the return loss is less than -10dB. Also ,the size of the antenna is only 18mm*15mm. Compared with the existing antenna works in the same frequency band , the inverted F antenna proposed has a lower return loss and smaller physical size. The new designed antenna can be applied to the RFID system of road tolls and container management, which have certain values for application.
Design of Wireless Sensor Network Based on STM32W108
Authors: Pei Ying Na , Zhang Yong Tao , Meng Fan Wei , Yang You Liang , Ma Cui Hong
Published: March 2013

At present, cable transmission is used mostly in the coal mine safety production monitoring. Cable transmission mode has many shortcomings, for example: wiring complex, line dependence of strong, installation and maintenance cost more. Badly working conditions of coal mine underground increase the difficulty of the wiring. In order to solve the cable transmission mode existing problems and the insufficiency, this paper analysis wireless sensor node which use in the coal mine underground and the functions of its modules characteristics and performance requirements deeply .And design wireless sensor node of coal mine based on STM32W108 chip, research emphatically each function module of the working principle. It also presents the hardware platform of the overall design scheme and hardware circuit diagram and software flow chart.
Design and Implementation of Digital Signal Generator Based on LPC2132
Authors: Guo Zhi Jun , Yan Huan Mei
Published: March 2013

A design method of the digital signal generator, based on LPC2132 as the master control chip, is introduced in this paper. The system has used of a chip of the direct digital frequency synthesizer (DDS) and a complex programmable logic device(CPLD) to produce the sine wave, square wave and triangle wave, and has designed circuits of analog signal amplification and gain control. Realized the switch of different signal through the keyboard, it is a new kind of the digital signal source, which has performances including stabilizing waveform, higher precision, adjustable amplitude and frequency on the permitted scope.
Design of Intelligent Li-Ion Battery Charger
Authors: Li Ye , Chen He
Published: March 2013

To achieve fast charging of lithium battery, based on MSP430 microcontroller, an intelligent Li-ion battery charging system was designed with voltage and current detection function. By collecting voltage and current values and making judgment on charging states of batteries, Pulse Width Modulation signal (PWM) was adjusted to realize high-precision charging control. The unit modules and their driving software flow chart were presented. The experiment results show that the charging system takes only 1 hour for a lithium battery to be charged. The system is faster than ordinary chargers which need 2-3 hours to finish charging. So the charging system shortens the charging time effectively.
Research on LLC DC-DC Transformer
Authors: Zhu Xian Tao , Chen Shen , Wu Ling , Yao Wei
Published: March 2013

Regulated DC-DC converter and unregulated DC-DC transformer is the basic types of DC-DC converter. Now the research is focusing on the regulated form named regulated LLC resonant DC-DC converter. Unregulated form of LLC resonant DC-DC converter named LLC resonant DC-DC transformer is studied in this paper in order to increase the practical topology of soft-switching and high-efficiency DC-DC transformer. Design method is proposed by the gain curve analyze of LLC resonant DC-DC transformer, and load characteristic of gain and efficiency of the DC-DC transformer is analyzed specializing for optimal design. A LLC resonant DC-DC transformer prototype is designed and implemented. Experimental results verify the correctness and validity of the design method and the load characteristic analysis.
Complex Network System Modeling and Optimization
Authors: Tan Xian
Published: March 2013

In order to solve the complicated network system modeling and optimization problem, in this paper, at first the simple genetic algorithm is analyzed and discussed in detail, and then the improvement of the genetic algorithm is studied, and finally summarizes the characteristics of the algorithm. Through the experiment, it is demonstrated that this method can effectively solve the complicated network of the two problems.