bluuebunny/crossref_metadata_2025 huggingface dataset:
Design Modeling and Simulation by Interpolation Algorithm of Zadoff-Chu Sequence
Authors: Wan Shao Song , Zhu Qun Song , Cao Jian
Published: July 2014

HF channel sounding requires perfect autocorrelation property of the sounding sequences. Compared with other pseudonoise sounding sequences, Zadoff-Chu sequence gets great attention due to its predominant periodic autocorrelation property. In order to adapt the spectrum property of Zadoff-Chu sequence to the requirement of HF channel sounding transmitter-receiver, the Formula Direct Interpolation Algorithm (FDIA) is put forward by which the amplitude frequency characteristic of Zadoff-Chu sequence can be enhanced. Application examples show that, this system can significantly improve the efficiency of aerodynamic design.
Research on Learning Algorithm of RBF Neural Network Based on Extended Kalman Filter
Authors: Gan Xu Sheng , Gao Hai Long
Published: July 2014

To improve the learning capability of Radial Basis Function (RBF) neural network, a RBF neural network algorithm based on Extended Kalman Filter (EKF) is proposed. First the basic idea of EKF algorithm and RBF neural network are introduced, and then EKF is used to optimize the parameters combination of RBF neural network to obtain the better model. The experiment proves its feasibility.
Detecting Ultra Low Carbon and Sulfur Contents in Steel by Using Infrared Absorption Method
Authors: Bayati M.R. , Wei Peng Yi
Published: July 2014

The detection of carbon with the contents ranging from 0. 000 5 % to 0.010%, and of sulfur with the contents ranging from 0.000 2% to 0.010%, has become an inevitable requirement for steelmaking process control. Due to the extreme low carbon and sulfur contents, using infrared carbon sulfur technical analysis has lower peak value than the background value of the instrument, and it is difficult to control the best analysis conditions of obtained valid signal; in addition, the small errors brought by crucible blank, sample weight, and uniformity of the samples may have great impact on the detection results. To solve this technical problem, this study gives up the single point calibration applied by infrared absorption method, but uses linear calibration method to detect ultra low carbon and sulfur contents in steel, which effectively meets the demand of manufacturers on the development of high-value-added products, and provides reliable data for production.
Study on Dynamic Mechanism of LOGINK Service Innovation Based on System Dynamics
Authors: Li Ling Li , Ji Shou Wen , Wang Lin Shuai
Published: July 2014

According to system dynamics and in-tree structure, we choose National Transport & Logistics Public Information Platform (LOGINK) as a research object. Then, considering new service concept, new customer interface and new delivery system, its dynamic mechanism of service innovation is studied. Finally, we establish the corresponding dynamic relationship model and deduce dynamic relationship equation.
Research on the Regionalism Air-Conditioning System Design of Car and Saving Energy
Authors: Ouyang Li , Li Die
Published: July 2014

The air-conditioning load is directly related to energy consumption of the car. Based on the characteristics and sources of the air-conditioning load of the car driven in four typical cities, this paper gives an analysis on the air-conditioning load using the steady-state heat transfer calculation method. The result indicates the regionalism design on the air-conditioning system for car is feasible and beneficial to save energy.
Research on Direct Torque Control Adaptive Fuzzy Neural Network Controller of Permanent Magnet Synchronous Motor
Authors: Lu Chao Fan , Yu Hong Bin
Published: July 2014

Has the advantages of quick response of PMSM using the method of DTC, but will make the high torque and big magnetic flux linkage ripples. In order to solve this problem, using the fuzzy neural network hybrid system to replace the traditional hysteresis controller, Strong learning ability and fuzzy logic in handling uncertain information has the adaptive ability of neural network, the fuzzy neural network hybrid system to produce the expected voltage vector, the speed of a smooth transition of permanent magnet synchronous motor. The proposed method is validated by simulation under external disturbances in motor is very effective to reduce the ripple of torque and flux, the speed of the fast response and smooth transition.
Synthesis of a Novel Donor Unit for Organic Light-Emitting Materials: 10-octyl-3,7-di(thiophen-2-Yl)-10H-Phenothiazine
Authors: Tang Ze Biao , Sun Xiao Xia , Miao Le Ping , Shen Hua Yin
Published: July 2014

A novel electron donor unit based on phenothiazine has been designed and constructed. The target compound 10-octyl-3,7-di (thiophen-2-yl)-10H-phenothiazine was easily synthesized in high yields with a milder and efficient route via the Suzuki coupling reaction. Optical spectra show that, from the solution to the solid state, both the absorption and fluorescence spectra of the target compound are small blue-shifted. Moreover, the fluorescence spectra exhibit the emission maxima of the target compound ranging from 485 nm to 496 nm, which belongs to blue-green light region. As expected, the target compound should be a promising donor to construct D-A type materials for applications in organic light-emitting diodes (OLEDs).
Parameter Matching and Simulation Analysis on Power System of Plug-In Hybrid Vehicles
Authors: Ji Duan , Zhang Hai Feng , Yang Jun
Published: July 2014

Based on design requirements of plug-in hybrid vehicle, using the method of theoretical analysis, the parameters matching design of drive motor, engine-generator set, battery, transmission and other subsystems is executed, and modeling and simulation are carried out using AVL-CRUISE software, simulation results show that the design is reasonable, laying a good foundation for the smooth development of the plug-in hybrid vehicle.
Thermal Structure Coupling Analysis of Lathe Built-In Electric Spindle under Intermittent Load
Authors: Wang Ke , Liu Ji Hang , Wu Guo Kui , Sun Xing Wei
Published: July 2014

Built-in electric spindle has been the core component of machine tool, whose temperature problem is serious. Internal heat source are greatly influenced by load. Based on which has the function of automatic clipping chuck inversion type vertical lathe built-in electric spindle prototype as the research object, using the theory of thermal stress and finite element, established the intermittent load cases hot - structure coupling numerical analysis model of the electric spindle. After overall analyzing electric spindle within the transient temperature field under the action of the intermittent load, the winding temperature changing with time curve is given. On that basis, electric spindle thermal deformation has been carried on the analysis and calculation, gets the shaft extension end axial thermal deformation, provides theoretical basis for the thermal error compensation.
Adaptive Controller for ROV Based on Hybrid Theory
Authors: Xie Ye Hai
Published: July 2014

In order to deal with the model uncertainties of ROV (remotely operated vehicles) caused by current disturbances, umbilical cable and robotic manipulators, an adaptive backstepping controller and an adaptive PD controller are applied to control the ROV. The adaptive backstepping controller is used to control the horizontal motion, and the adaptive PD controller is applied to control the Vertical motion. Finally, the method is verified effective by the computer simulation.
Estimation of a State Vector of an Inertial Unit
Authors: Zhang Hui Ping , Pei Peng , Ceschi Roger , Rabreau Olivier
Published: July 2014

An inertial unit includes many parameters, such as: position、speed、acceleration and so on. Now estimate the acceleration and angular velocity may seem simple, because an accelerometer can provide a measure of acceleration and a gyroscope can provide a measure of angular velocity. Nevertheless, we will see below that this apparent ease of hiding the very real difficulties.The aim of this paper is not to recreate an complex inertial unit, but try to estimate the inclination angle and the angular velocity of an object by using some math filters, This problem we will not only tap away the complexity of the implementation of an inertial, but more importantly to use a math filter to make the prediction information and data fusion multi-sensors.
Study of a Predictive Compensator for Internet-Based Remote Vehicle Steering Control
Authors: Zhong Min Gen , Hong Han Chi
Published: July 2014

Packet loss during network transmission through internet has negative influence on vehicle remote steering operation. Model of the remote steering system was built to analyze the steering quality. On basis of former study, a kind of packet loss compensator was designed from the aspect of predictive compensate control using hybrid pi-sigmoid fuzzy neural network. Simulation results showed that the compensator worked effectively. It was able to reduce the bad influence of packet loss during remote vehicle steering procedure.
Method Research on Bending Fatigue Test of Vehicle Steering Wheel
Authors: Xu Xun Jiong , Tian Liang
Published: July 2014

Through researches a new method of bending fatigue test of vehicle steering wheel was raised in this paper. The new method is closer to the actual using condition of vehicle steering wheel, which enhances the reliability of the test.
The Method of the Abnormal Sound Detection for Final Drive Based on DSP Technology
Authors: Xu Xun Jiong , Fang Zhi Gang
Published: July 2014

According to the mechanism of the main reducer abnormal sound signal is different from the interfering noise, a detection method based on the digital signal processing technology was proposed. With the qualified main reducer noise signal as the reduction sample, the detected main reducer noise signal is de-noising by means of spectrum analysis, and then be estimated whether the detected main reducer is qualified based on certain threshold values. Finally, the detection method is validated, which provided a new thought on the final drive abnormal sound on-line detection.
Preparation and Characterization of Transparent Oxyfluoride Tellurite Glass-Ceramics Containing CaF2 Nanocrystals
Authors: Hou Zhao Xia , Li Hang Xin , Wang Shao Hong , Wang Mei Han , Hu Xiao Dan
Published: July 2014

Transparent oxyfluoride tellurite glass-ceramics containing CaF2 nanocrystals were prepared by high temperature melting method. The glass-ceramics were characterized by Differential scanning calorimetry, X-ray diffraction and scanning electron microscope, respectively. The results showed that the CaF2 nanocrystals were spherical and the average size was found to be 60 nm.
Design and Implementation of Driving Mechanism on Software Aerospace Measurement and Control System
Authors: Fu Gang , Kou Ming Xin , Li Ren Long
Published: July 2014

According to the signal processing unit in aerospace measurement and control system between the flow of water features, this paper proposes a software suitable for aerospace measurement and control system of driving mechanism. This paper first introduces the basic structure of aerospace measurement and control system software, having studied the static and dynamic data stream driving mechanism on the basis of detailed discusses the design and implementation process of this kind of driving mechanism of data stream. It adopts the method of message control, according to the dynamic data flow driven mechanism, realize the process of the signal processing unit and each signal processing unit between the data flow between the internal thread. Compared the same sort of dynamic data stream driving mechanism, the drive mechanism possesses the advantages of flexibility and easy to implement.
Extraction and Purification of Fluorene from Wash Oil
Authors: E Yong Sheng
Published: July 2014

Fluorene is a basic chemical raw material, which has wide applications.This paper introduces the current fluorene technology of extration and purification from wash oil. Use the after-cut of wash oil as raw material, get fluorene by distillation and solvent crystallization. The content of fluorene is higher than 97%.The total yield is 72.24%, which is higher than current domestic production levels.
Fit Degree Calculation of an Aircraft Part Manufacturing Process
Authors: Huang Xiong Fei , Zhu Fang , Wei Na
Published: July 2014

Aircraft manufacturing process normally requires very high precision assembly parts which are achieved in practice by a high-precision machining parts followed by a high coordination degree assembly process. The current practice in aircraft parts manufacturing process is that the manufacturing cycle is long, the rework rate is high and the manufacturing precision is difficult to improve. This can be sometimes infeasible or very costly. In this paper, we consider a fit degree calculation method to achieve precision aircraft parts with economical manufacturing processes. We consider an analytical approach to establish a physical process model to guide the design and machining process of assembly parts, which can assume the fit degree. The results show that the approach can obtain the nearly optimal process parameters at designated fit degree. At last, a case is developed to verify the proposed methods.
Brushless DC Motor Speed Control System Based on Fuzzy PID Control
Authors: Zhang Yi Hui , Song Le Peng
Published: July 2014

Brushless DC mo tor speed control system is a multivariate, strong coupling, non linear, time-varying complex system, but adopting traditional PID control method to carry ou t control is difficult to achieve good control effect A kind of PID controller with fuzzy algorithm setting on-line PID parameters automatically was designed and applied in brush less DC motor speed control system, using the voltage , speed and torque equation of brush less DC motor, according to the parameters of the mo tor, the controler adopts fuzzy theory to adjust the PID parameters, in order to obtain high-precision speed control Results of simulation experiment show that the fuzzy PID control method compared with normal PID control is with better control performance, non overshoot quick velocity response, higher control precision and good rubustness, which is insensitive to the parameter chattering and many disturbances.
Prediction System Design on Noise Airworthiness Compliance
Authors: Yan Guo Hua , Liu Shi Qi , Song Wen Qian
Published: July 2014

According to the method described in Technical Manual of Aircraft Noise Evaluation Procedures, this system can predict the EPNL (Effective Perceived Noise Level) of aircraft take-off, approaching and side boundary. The system also contains the function of managing andcalling NPD database, and can assess the predictive value basing on the noise stringency curve. This saves a number of cost for the airworthiness certification of aircraft noise, and is a new engineering practice which has a good application value.
Design of Quadrotor’s Control System Based on DSP
Authors: Lv Qiang , Ni Pei Pei , Wang Guo Sheng , Liu Feng
Published: July 2014

A problem of quadrotor’s control system based on DSP is investigated in this paper. STMS320F28335 is used as the main processer, due to its advantages of high-speed processing capability and powerful floating point processing capability. The inertial measurement unit is selected for inner-loop attitude control, while the optical flow sensor is adopted for outer-loop attitude compensation. Infrared range finder is choosed for altitude control with PID method. Quadrotor uses XBee-Pro wireless module to contact with ground station and sends statement information in accordance with the Mavlink protocol. Test results show that the control system is reliable and can meet the requirement of the attitude control system.
LDO of High Power Supply Rejection with Two-Stage Error Amplifiers and Buffer Compensation
Authors: Chang Yi Tsun , Shiau Yu Da , Wu Po Chun , Xue Ren Hao , Cheng Po Yu
Published: July 2014

This study develops a low dropout regulator linear regulator, characterized by a high power supply rejection ratio using ultra-low output resistance buffer and two-stage error amplifiers. The high power supply rejection is based on a closed-loop LDO regulator. The ultra-low output resistance buffer achieves ultra-low output impedance with dual shunt feedback loops, subsequently improving load and line regulations, as well as the transient response for low voltage applications. The proposed LDO regulator linear regulator functions under an input voltage of 1.8~3V, and the output voltage can be maintained at around 1.27V. Moreover, its output voltage is independent of input voltage. The proposed regulator is applicable to light-emitting diode driver integrated circuits. The layout chip area of the LDO linear regulator is 21.5μm × 42.6μm.
Sensorless Control of Switched Reluctance Motors Based on Pulse Injection, Position Sectors Divided and Variable Thresholds
Authors: Jia Zi Fei , Zhao De An , Zhao Yu Yan
Published: July 2014

To realize starting operation and reduce position estimation error of switched reluctance motor (SRM) without position sensor, a novel control method based on pulse injection, divided angle section and variable threshold is presented. The starting operation of SRM can be accomplished by injecting high frequency pulse and judging position sectors. Variable threshold is used to reduce position estimation error. The value of threshold is obtained by looking up table prestored in controller. The method avoids complicated mathematical model and is suitable for starting operation with two phases. Besides, rotor position estimation error of this method is analyzed and the method which can decreased the error is proposed. At last, the experiment has been done to verify the performance of the control method.
Study on Axis Calibration Method of the Coordinate Measurement System Based on Binocular Vision
Authors: Zhang Zi Miao , Zhang Shi Hai , Yu Ya Nan
Published: July 2014

For a coordinate measurement system based on binocular vision, system calibration is an important factor for measurement accuracy. In this paper we present a flexible calibration method for the axis calibration of rotation stage which is installed in front of the binocular vision system to increase the system measurement range. By putting a standard ball in front of the binocular vision system, a sequence of pictures is taken by the two cameras with a few different rotation angles of the rotation stage. With the method of space intersection of two straight lines, the reference points (the ball centers at each rotation angles) for axis calibration are figured out. The trail of standard ball is a circle. Since all ball centers of rotation are on a plane perpendicular to the axis, the center of circle is on the axis of rotation stage. The rotation axis of stage is then calibrated according to the calibration model.
Research on Automatic Changing Film Mechanism of PM2.5 Sampler
Authors: Mei Yang , Deng San Peng , Yang Kai , Zhou Wang Fa , Wu Jin Tao
Published: July 2014

The problem of air pollution is very serious now, so it is important for developing a monitoring mechanism of PM2.5. An automatic changing film mechanism is designed and manufactured in the paper. Then static stress, vibration analysis and structural optimization are carried out by Solidworks software. Experiments show that the mechanism of PM2.5 is reasonable and reliable.
Equipments of Pulsed Welding System and its Application
Authors: Lou Li Yan , Gao Ying
Published: July 2014

With the development of welding power control technology, pulsed welding technology was becoming more and more popular, for it could control the droplet transfer process by pulse current. In this paper the characteristic of pulsed welding technology was analyzed, and the equipment—welding pulse controller was introduced, which could upgrade the existing welding system to pulsed welding system without too much changes. This paper introduced pulsed MIG welding system and double wire pulsed welding system constructed by welding pulse controller, and the development prospect in the welding field is described.
Research to the Model Design of Real Platform Based on the Simulating Network
Authors: Liu Guan Qun
Published: July 2014

One of the research works of network control systems is the effect of network upon control systems. A simulation platform of networked control systems is designed for this purpose. Matlab is used to build models of real systems. Communication between controller and process is fulfilled with Winsock. The simulation platform supports many control algorithms and gives good environment for the analysis and gives good environment for the analysis and design of networked control systems.
Research Progress of Graphene-Based Composites in Supercapacitor
Authors: Hou Zhao Xia , Li Guang Bin , Wang Shao Hong , Wang Mei Han , Hu Xiao Dan , Zhou Yin , Li Si Ming
Published: July 2014

In this paper, inorganic/graphene and polymer/graphene composites are mainly introduced. Compared to single component, the inorganic or polymer additions have great improvement on the electrochemical performance and provide the possibility of their application in supercapacitor. The latest application of graphene based composites in supercapacitor is overviewed as well.
The Key Technology Research on Information Acquisition about Tropical Crop Production Environment
Authors: Wang Ling Ling , Lu Kun , Luo Hong Xia , Fang Ji Hua
Published: July 2014

The information of tropical crop production environment includes the wind velocity and direction data, light intensity, air humidity, air temperatures, soil moisture, concentration of carbon dioxide, rainfall and so on. These data will be of great reference value to environmental control and scientific field management. As the characteristics of tropical crop growth and tropical climate conditions, information acquisition and tracking about the environment of crop growth are quite behind the time. This research is precisely centers on this core question to launch, carrying on analysis on the key technology of intelligent sensor and monitoring about tropical crop production environment. We build a system on a tiny210 chip using android operating system. Sensors that will be linked include air humidity & temperature sensor, illumination sensor, soil moisture sensor, wind-direction sensor and wind power sensor. This research focuses on field information dynamic acquisition and management. This study can offer references for in field environmental control and further research work.
Based on Small Current Grounding Fault Analysis and Testing
Authors: Lv Huai Lian
Published: July 2014

distribution network line usually adopt neutral point grounding way of three-phase three-wire power supply, improve the power supply reliability, reduce the line loss, increase the margin level of the distribution line, reduce the rate of tripping. But using three-phase three-wire power supply line in the actual operation of distribution network, the single-phase earth fault happens often, seriously affected the substation equipment and the safe and economic operation of the distribution network. Based on such fault is analyzed, and puts forward new on feeder terminal for such fault detection scheme.
Prediction Model of Silicon Content in Blast Furnace Hot Metal Based on Artificial Neural Network and Genetic Algorithm
Authors: Cheng Yong Hua , Niu Cai Wen , Zhang Yu Xin
Published: July 2014

In this paper, a predicting model of silicon content in blast furnace hot metal is built based on artificial neural network and genetic algorithm, which optimizes the initialization weight values of neural network with genetic algorithm. This model can effectively improve the prediction accuracy and reduce the calculating time. Online application shows that the predicting model can effectively predict the silicon content in blast furnace hot metal and play an important role in production. when required absolute error was within ±0.03, the accuracy of model can reach 81.4%, and when absolute error was within ±0.04, the accuracy can reach 91.4%.
The CDMA Spread-Spectrum Cell Mobile Communication Uplink System with Cooperative Diversity
Authors: Liao Han Cheng
Published: July 2014

In this paper, physical layer cooperative communication of code division multiple access system is explored. Many mobile terminals relay signals for each other so as to achieve spatial diversity. The cooperative scheme of the mobile terminal is well designed. The uplink system model, as well as the receiving structure is given. The performance advantage of such system is clearly indicated through simulation.
Processing and Mosaicing System of Civil Unmanned Aerial Vehicle Remote Sensing Image
Authors: Yang Ying , Wang Li Jun , Yang Lei
Published: July 2014

With combining Unmanned Aerial Vehicle (UAV) and the high-precision of the low altitude Remote Sensing (RS) technology, UAV RS technology has become an important compleme-nt for satellite and manned aircraft RS, so it has drawn great attention of people at home and abroad. Most of UAV RS image technologies use small digital cameras to shoot so that it causes some proble-ms such as lower magnitude, more and larger morphing image. The image processing and mosaicing system of UAV RS implements the function of image identifying, selection of image group control points, geometric correction, mosaicing, seam lines eliminating automatically and rapidly with Interactive Data Language (IDL), and is targeted to solve the practical application problems such as preprocessing, mosaicing, seam-lines removing of civil UAV RS image.
Relevance Feedback Based on Particle Swarm Optimize Weight-Vector for Image Retrieval
Authors: Lv Fei Ya , Yang Xiao Hui , Li Deng Feng
Published: July 2014

As the physical meaning of components are different in feature vector, this paper presents a weight query vector based on QPM to represent the user’s true intention more properly, and then proposes two RF frameworks to learn the weights for positives and negatives in the feedback process of CBIR by PSO. Experiments were conducted to validate the proposed frameworks based on color histogram weight-vector. The proposed frameworks were compared and outperformed four other relevance feedback methods regarding their efficiency and effectiveness, thanks to the fact that they can make full use of the features’ different importance.
3D Graphical Representation of Protein Sequences Based on Conformational Parameters of Amino Acids
Authors: Xiao Qian Jun , Deng Zong Gang
Published: July 2014

Based on the helix and-sheet and the-turn conformational parameters, and and , of the 20 amino acids, we propose a new 3D graphical representation of protein sequence without circuit or degeneracy, which may reflect the innate structure of the protein sequence. Then the numerical characterizations of protein graphs, the leading eigenvalues of the L/L matrices associated with the graphical curves for protein sequences, was utilized as descriptors to analyze the similarity/dissimilarity of the nine ND5 protein sequences.
Extraction of Signals with Reference
Authors: Zhao Yong Jian , Jiang Hai Ning
Published: July 2014

As a famous one-unit algorithm, FastICA can extract source signals one by one. In many applications, someone is only interested in a specific source signal. Through incorporating reference about the desired signal into a negentropy based contrast function, a constrained optimization problem is formed. Then an improved method is proposed which can extract the desired source signal exclusively. Computer simulations demonstrate its good performance.
Research on Multi-Sensor Data Aggregation Based on Clustering Analysis and Correlation
Authors: Dang Xiao Chao , Gao Qi , Hao Zhan Jun
Published: July 2014

Multi-sensor is deployed for the target-monitoring in complex environment. However, the distribution of sensory data is irregular and inconsistent and the data is also highly redundant. For the purpose of obtaining accurate information, this article proposes a method for data aggregation of multi-sensor based on clustering analysis and correlation. By computing the correlation of the sensory data and the clustering analysis, the overall distribution of the data is analyzed. Finally, the method integrates sensory data by the correlation and uses the joint probability density function to compute the best integrated point. Simulated results show that the method is more effective in data aggregation than traditional methods.
Multi-Threshold Image Segmentation Based on Improved Particle Swarm Optimization and Maximum Entropy Method
Authors: Lu Ya Ti , Zhao Wen Li , Mao Xiao Bo
Published: July 2014

Both maximum entropy method and Particle swarm optimization (PSO) are common threshold segmentation methods which have been used not only in image segmentation, but also in multi-threshold segmentation. Maximum entropy method is time-consuming, PSO may easily get trapped in a local optimum. In view of this concerning issue, we propose the PSO and maximum entropy are combined to make improvements on the PSO introduced in expansion model and opposition-based module. The objective functions of the maximum entropy as well as the PSO are obtained, which have improved to optimize them and search the optimal threshold combination, to achieve multi-threshold image segmentation. The results demonstrate that the new algorithm improved the segmentation speed and enhanced the robustness. And the optimizing results are stable.
Modeling Difficult-to-Measure Process Parameters Based on Intrinsic Mode Functions Frequency Spectral Features of Mechanical Vibration and Acoustical Signals
Authors: Tang Jian , Liu Zhuo , Wu Yong Jian , Zhao Li Jie
Published: July 2014

Heavy mechanical devices of complex industrial process produce soundly mechanical vibration and acoustical signals. Some difficult-to-measure key process parameters have direct relationship with these signals. A newly ensemble empirical mode decomposition (EEMD), Fast Fourier Transform (FFT), Mutual information (MI), and Kernel partial least squares (KPLS) based modeling approach is proposed to measure these process parameters. At first, different scale intrinsic mode functions (IMFs) of mechanical vibration and acoustical signals are obtained using EEMD technology. Then, FFT transforms these multi-scale IMFs into frequency domain, and MI based feature selection method selects interesting frequency spectral features. Finally, KPLS constructs the final soft sensor models using the selected features. Experimental results based on vibration and acoustical signals of ball mill demonstrate this approach is more effective than other exist multi-scale decomposition based methods.
Image Retrieval of Self-Adapt Distance Measure Based on SLLE
Authors: Wang Xiao Fen , Zhang Hai Na , Qiu Xiu Rong , Song Jiang Ping , Zhang Ke Xin
Published: July 2014

Self-adapt distance measure supervised locally linear embedding solves the problem that Euclidean distance measure can not apart from samples in content-based image retrieval. This method uses discriminative distance measure to construct k-NN and effectively keeps its topological structure in high dimension space, meanwhile it broadens interval of samples and strengthens the ability of classifying. Experiment results show the ADM-SLLE date-reducing-dimension method speeds up the image retrieval and acquires high accurate rate in retrieval.
The Method of Optimal Group Based on the Kernel Density Estimation and the Close Degree
Authors: Ye Fei , Wang Xin , Peng Dong Hui , Jiao Chuan Hai
Published: July 2014

The optimal group is an important problem of histogram algorithm, and how to confirm group number has not a quantitative rule. So the concept of the close degree is imported to make the close degree between the upper contour line of histogram and the PDF(probability density function) of parameter as the judging criteria of optimal group. With the unknown of the PDF of parameter, the improved kernel density estimation algorithm can pre-select and estimate the PDF. This improved kernel density estimation algorithm combine the selection of fixed window and variable window's width to achieve the window's width automatic adjustment value between the different estimation points based on the sample distribution. In the parameter analysis of radar emitter signal, the algorithm based on improved kernel density estimation and close degree is used to determine optimal group, and the result indicate that this method is effective and can search the optimal group automatically.
Multi-View Video Coding Based on Video Correction
Authors: Yan Tao , Zhou Xiao Xiong , Luo Wen Ting , Liu Ze Liang , Zhang Pan Dong
Published: July 2014

In order to enables the video to be displayed on a multitude of different terminals, Multi-view video coding (MVC) demands high compression rates as well as view scalability. A new the inter-view prediction structure with flexibility, MVC compatibility and view scalability is proposed. The proposed scheme first correct views. It then uses the position of the cameras and the relation of inter-views to divide all views into base view and enhancement views. Finally, the views quire by the viewers use scalable Multi-view Video Coding (SMVC). The main bitstream is the same as a H.264/AVC mono-sequence bitstream for H.264/AVC compatibility. The auxiliary bitstream come from enhancement views coding. We proposed SMVC scheme is tested with two Multi-view sequences to determine its flexibly view scalability, high coding efficiency and random access performance.
De-Noising of Underwater Acoustic Weak Signals Based on Compressed Sensing Technique
Authors: Zhao Li Li , Dai Xiao Wei
Published: July 2014

To remove the noise of weak signals detected in the underwater environment, the existing de-noising algorithms cannot perform satisfactorily. This paper aims to developing a new method to solve the problem, where the compressed sensing theory, wavelet transformation based filtering techniques and sparse signal reconstruction algorithm are employed. The simulation results show that the proposed algorithm performs favorably and has good potential to be used in some engineering applications.
Impulse Noise Suppression Method for Telemetry Signal by Multi-Scale Median Filtering
Authors: Liu Xiu Fang
Published: July 2014

The telemetry signal is often interfered with impulse noise, which results in difficulty in time domain and frequency domain analysis results. Hereby a new impulse noise suppression method based on wavelet transform and median filtering technique was proposed. The received signal is decomposed into detailed components and approximate components, and then the median filtering is carried on the wavelet decomposition components with vary filtering window size according to the wavelet transform scale respectively. This method can suppress the impulse noise effectively and keep the detail information of the signal from the loss at the same time. The simulation and experimental results prove the effectiveness of the method.
Monolithic Porous Graphene/Poly(Vinyl Alcohol) Gels: Preparation, Structure and Dye Adsorption
Authors: Wang Ping , Guo Yu Ping
Published: July 2014

The porous graphene oxide (GO) gels were prepared using the process of aqueous gel precursor freezing, solvent exchange, and ethanol drying technology. The GO sheets were consolidated by PVA and the obtained GO-PVA gel was reduced by glucose to prepare graphene nanosheet-SA (RGO-PVA) gel. GO-PVA and RGO-PVA gels exhibited the ultra-light densities of 10.52 and 11.24 mg/cm3, respectively. GO-PVA and RGO-PVA can effectively adsorb the liquids. The less the polarity of the liquid was, the more the adsorption for both GO-PVA and RGO-PVA gels was. The equilibrium and the dynamic adsorption of methylene blue dye were also investigated. The maximum adsorption capacities of dye were 571.4mg/g for GO-PVA and 81.0 mg/g for RGO-PVA at 30 oC.
The Improved Membership Matrix Initialization Method of FCM for Image Segmentation
Authors: Wu Zong Jia , Liu Li Kun
Published: July 2014

The performance of FCM for image segmentation directly subjects to the initialized membership matrix. This paper proposed twice FCM method to solve the membership matrix initiation problem. The image is spared to a blurred image at first, and then uses the FCM for the blurred image to obtain an iterative result, in which the membership matrix is taken as the initialized membership function of the FCM for the original image processing. This method overcomes the random membership initialization method cannot convergence to the optimum point of the objective function of FCM for the image segmentation at some extend, furthermore, it can obtain better results than the traditional FCM method.
Study on Optimal Design Approach of One-Card under Multi-Signal Conflict
Authors: Zhu Heng Jun , Wang Zhuo
Published: July 2014

IC card is a product of microelectronics, computer and information technology, with the development requirements of its wide application and digitized, one-card system will inevitably become a trend. The operation mode of one-card System with "one card, one database, one network", can both realize the norms for user management, but also provide important information for managers. Meanwhile, as an important part of digital one-card systems is one of the foundation works of information collection in the digital environment. It has the great significance for management and decision support of users.
Dynamic Simulation of TT&C Signal Based on VFD Filter
Authors: Yang Wen Ge , Li Wei , Zhao Jiang
Published: July 2014

A processing method based on VFD Filter is proposed in this paper for implementing the high dynamic simulation of TT&C signal. The method adopts the store-delay way which could implement integer delay for static data and adopts the VFD filter to implement high accuracy fractional delay for the integer delay signal.The simulation and analysis results show that the proposed method not only can accurately and commendably implement high dynamic simulation for TT&C signal,but also suits for different form signal. It provides a good way for dynamic simulation in the compatible test of TT&C equipment.
Study of Dislocation Densities of Thick GaN Films
Authors: Li Yon Gan , Xiu Xiang Qian , Hua Xue Mei , Zhang Shi Ying , Gu Shi Pu , Zhang Rong , Xie Zi Li , Liu Bin , Chen Peng , Han Ping , Zheng You Dou
Published: July 2014

The dislocation density of GaN thick films has been measured by high-resolution X-ray diffraction. The results show that both the edge dislocations and the screw dislocation reduce with increasing the GaN thickness. And the edge dislocations have a larger fraction of the total dislocation densities, and the densities for the edge dislocation with increasing thickness reduce less in contrast with those for the screw dislocation.
Channel Reservation Strategies for Multiple Secondary Users in Cognitive Radio Networks
Authors: Peng Qiang , Jiang Yan , Liu Gan , Cui Fei , He Guo Bao , Wu Wei Min
Published: July 2014

In cognitive radio networks (CRNs), improving the performance of SUs is the main aspect of present study. In this paper, we focus on the optimal access strategy to provide QoS guarantees for multi-services. The contribution of this paper is as follows. Firstly, we formulate and solve the optimal spectrum access problem with different channel reservation scheme. Secondly, we take account of buffer for handoff secondary users and propose a handoff scheme for multi-services. In addition, the computation complexity of solving the optimal channel reservation problem is simplified by a binary search. The system is analyzed using a continuous-time Markov chain model. The numerical results confirm the validity of the proposed scheme.
Research on the Key Technology of Laser Engraved Image
Authors: Zhang Shao Qing , Zhang Dong Min , Feng Quan Hua
Published: July 2014

In 1960 the first ruby laser came out , after 40 years’ development, laser engraving technology has been widely used in various areas. This paper describes the characteristics of laser engraving, the advantages and applications in industries and study images of laser engraving key technologies in-depth from image processing, laser engraving process parameters and clean carbide processing , and JK-2030 CO2 laser engraving machines on paulownia color photos as examples for authentication, making laser engraving images more easily and efficiently .
LFM Signal Detection Method Based on Fractional Fourier Transform
Authors: Wu Yan Jun , Fu Gang , Zhu Yu Ming
Published: July 2014

As a generalization of Fourier transform, the fractional Fourier Transform (FRFT) contains simultaneity the time-frequency information of the signal, and it is considered a new tool for time-frequency analysis. This paper discusses some steps of FRFT in signal detection based on the decomposition of FRFT. With the help of the property that a LFM signal can produce a strong impulse in the FRFT domain, the signal can be detected conveniently. Experimental analysis shows that the proposed method is effective in detecting LFM signals.
Detection of Chirp Signal with Time-Varying Amplitude Based on FRFT
Authors: Wu Yan Jun , Li Ren Long , Wang Xiao
Published: July 2014

The general method time-varying amplitude linear FM signal parameter estimation, the proposed parameter fractional Fourier transform for time-varying estimates of the magnitude of the chirp signal, and the related issues of a more in-depth research. Study the time-varying amplitude of the initial phase chirp signal, the initial angular frequency, modulation frequency and amplitude information extraction and estimation methods, and the magnitude of the Gaussian function varies with the magnitude of random variation and chirp signal for the object properties (parameters on parameter estimation estimate the mean square error) were simulated.
A New Way to Optimize LDPC Code in Multiple Access Channel
Authors: Zhang Jing Xi
Published: July 2014

A new way to optimize the degree profiles for irregular LDPC codes in MAC is presented. The combination technology of differential evolution and density evolution is applied in the optimizing of degree distributions. By using a greedy algorithm we show the differential evolution method to seek the maximum noise threshold in MAC channels under different degree number and maximum degree condition.
The Research of Starry-Sky Image Bright Stray Light Background Suppression Method
Authors: Guo Shao Jun , Wang Zhe
Published: July 2014

The space-based visible observation imaging platform for sky targets is influenced by many factors, a serious factor is the light of background too bright. A image with the bright stray light background has some high gray areas those may submerge the targets info. Aimed at the shortcomings of traditional background removal method in target extraction under the bright stray light background, according to the differences of bright stray light background and sky targets imaging characteristics, this paper has made some research of the algorithms about how to remove the bright stray light background but not delete the targets info. The algorithm we got that give us great results will be shown in the paper. It solves the problems of the bright background light removal and greatly retain the targets info which submerged in the bright areas.
Body Surface to External Channel Modeling
Authors: Yang Yi Huai , Wang Li Fang , Shen Dong Ya , Yang Miao
Published: July 2014

In order to build WBAN devices and design WBANs, it is imperative to study the characteristics of WBAN channel and model the channel accurately. WBAN channel models are so different from the traditional mobile channel models and there are few publications on them. In this paper, we studied the statistic characteristics of the WBAN channel based on the IEEE 802.15.6 models. We focus on body surface nodes to external nodes, simulated the path loss models on 820 MHz and 2.36 GHz at both LOS and NLOS situations. We also used the Gauss model to fit the statistic results of the path loss and obtained coefficients of Gauss model.
The Realization of Receiving and Reporting the HARQ-ACK Information in LTE System
Authors: Sun Peng , Yang Jing , Chen Ya Jie , Zhou Chun
Published: July 2014

A brief introduction of hybrid automatic repeat request (HARQ) is given first, and then a description of physical uplink shared channel (PUCCH) or physical uplink shared channel (PUSCH) receiving and reporting the HARQ-ACK information in bundling mode or multiplexing mode is made in detail. Based on the principle, a scheme is designed to solve the problem of receiving and reporting the HARQ-ACK information.
Realization of Book Locating by RFID Technology in Mobile Phone Libraries
Authors: Wang Ying Pei
Published: July 2014

Book positioning in mobile phone libraries could make readers acquire books conveniently andquickly. Readers could use mobile phone access to OPAC system, and apply to book positioning systemwhich is based on RFID system for book positioning. The book positioning system combines with the RFIDsystem to fix the position of books, converts spatial information of books to geographic location information,then feedbacks the information to readers by mobile phone.
Analysis of the Atmospheric Particles Governance Based on Aerosol Hygroscopicity
Authors: Sun Tian Yu , Wang Qing Yang , Zhang Jian , Ren Jian Xing
Published: July 2014

With the rapid development of economy and the acceleration of the process of city, the problem of the atmospheric particulates is getting more and more serious which has severe impact on human health. Consequently the atmospheric particulates weather management has become a very realistic and an urgent problem to solve. The atmospheric particles mainly consists of water soluble aerosol and non water soluble aerosol. For the water-soluble aerosol should be removed by aerosol hygroscopicity, and for non water soluble aerosol by method of atmospheric water vapor liquefied or artificial humidification, making the small water droplets in the air further increase. So the water vapor can absorb non water soluble aerosol, through the settlement removal.So the utilization of these principles can achieve the purpose of absorbing the atmospheric particulates in the air.
An Energy-Efficient Three-Dimensional Positioning Technology for Underwater Acoustic Wireless Sensor Network
Authors: Wei Xiang Yu , Zhu Cheng , Qiao Shi Dong
Published: July 2014

The self-positioning for the nodes is the prerequisite for wireless sensor network to work, especially considering that the deployment of underwater node changes rapidly in position. Taking the issue of energy efficiency and prolong the network lifetime into account, the energy-efficient positioning technology of the underwater acoustic sensor network is studied in this paper .Brief introduction of the current node positioning technology is concluded in this paper too. Similarly to the overlapping ideological positioning algorithm FTPL we introduce RSSI but not for the ranging. Also discuss the inadequacies of our new algorithm, and the possible improvements. Simulation results show that the improved algorithm has good improvement in both the accuracy and the energy efficiency.
Digital Signal Processing Approach of Dithered RLG Based on IFIR Digital Filter
Authors: Zhang Kui , Yang Gong Liu , Zheng Wei Zhen , Ma Ren Dong
Published: July 2014

An interpolated finite impulse response (IFIR) digital filter approach was purposed to improve the demerits of traditional finite impulse response (FIR) digital filter in the case of noise attenuation for dithered Ring Laser Gyroscope (RLG). Concentrated on the time delay and computation complexity, a comparison of FIR and IIR digital filter was illustrated. By optimizing the stretch factor L, an IFIR digital filter was designed to reach the requirements of a typical RLG. The static experiment results show that the impulse number is decreased from 250 to below 0.15, attenuation of the dither noise is nearly 100 dB and group delay remains the same level by 11.25ms.