bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Simulation Optimization of Modern Storage System
Authors: Han Qing Tian
Published: July 2013

Firstly, on the basis of analyzing the characteristics of the modern storage system, the compound process of warehousing systems simulation model was built; Then, warehousing operations were simulated under the orderly storage model, and the improved design was carried out for the congestion problem; Finally, simulation results were analyzed. Results show that the improved device configuration makes full use of each machinery and equipment, and improves the efficiency of the whole warehouse system.
Design and Implementation of the Greenhouse Environmental Monitoring System Based on JN5148
Authors: Wen Zhu , Li Shi Jun
Published: July 2013

This paper designs a greenhouse environment system based on JN5148. The system uses JN5148 as the main module, setting up the wireless network with JenNet protocol stack. This system realizes true-time monitoring of environment factors which include air temperature and humidity, light intensity and CO2 concentration etc, rolling machines and pumps remote control. Test results show that system network operates stably, data acquisition precision is high, notes consume low and feedback control is accurate, and meets the application requirements of the greenhouse environment parameters monitoring.
Design of Digital Test Platform for Diesel Engine
Authors: Ji Shu De , Jia Zhen , Wang Zhi Hong , Liu Ya Jun , Yuan Xiao Yan , Yang Tian Jun
Published: July 2013

For the problem of manual manipulation and data asynchronous acquisition, the opinion of digital test was introduced. Based on the existing equipment, control and test method, the overall design of test platform was put forward. In the following, the data sharing, the software control system, dynamometer system, lube oil control system and cooling water control system were designed respectively. In the end, the digital test platform was developed. Under the new test platform, the test conditions can be adjusted automatically, the measurement device can be remote-controlled, the test data can be collected and recorded in synchronization and the test results can be sent to the designers in time.
Design of a Simple Electrochemical Test System Based on Aptasensor for ATP Detection
Authors: Jiang Li Ying , Zhang Yan , Wang Fen Fen , Hu Jie , Yan Yan Xia , Chen Qing Hua , Cui Guang Zhao
Published: July 2013

A simple electrochemical test system based on aptasensor for ATP detection is constructed in this paper. This system includes a home-made signal conditioning module, a Data Acquisition Card, a personal computer installed with LabVIEW and a self-assembly aptasensor. The electrochemical control programs are developed in LabVIEW, which generated drive signals, scanned the potential of the working electrode, acquired and stored the data, queried and displayed the results. This electrochemical test system is in small dimension, which makes it suitable for in-field measurements. In order to clarify the electrochemical properties of the electrochemical test system, cyclic voltammetry (CV) was used to monitor the process in details.
Cavity Beam Position Monitor Test System Based on Virtual Instrument
Authors: Wang Bao Peng , Leng Yong Bin , Zhou Wei Min , Yu Lu Yang , Yan Ying Bing
Published: July 2013

Based on the virtual instrument technology, a dedicated test system has been developed for cavity beam position monitor (CBPM). The system consists of commercial nanopositioning stage and its controller, the analog output DAQ card based on PXI and network analyzer. In the LABVIEW environment, software which implemented function of instrument control and data acquisition based on virtual instrument soft architecture (VISA) has been developed. Experimental results illustrated that the test system achieved positioning precision of sub micron which meets requirement of test of CBPM. Also it could serve CBPM signal processing system.
Design of Calibrating Apparatus of Motorcycle Road Test Instrument Based on MSP430
Authors: Li Jun , Chen Hui , Dai Ying Yun , Wang Long Hu
Published: July 2013

At present, there are various types of motorcycles road test devices, but the corresponding calibrating apparatus are lacking in our country. A calibrating apparatus of motorcycle road test device was designed. MSP430 was used as control unit. The timing square wave generated by Timer B outputted by the I/O port was taken as the control signal of the stepping motor, and the control signal drove the stepping motor through the L297 and L298N chips. At the same time, four buttons were used to control the status of the motor, and an AMPIRE-12864 was used to display the real-time data of speed of stepping motor measured by the photoelectric encoder. The system software was implemented by C language under the environment of IAR for MSP430, and the system overall and module simulation were implemented under PROTUES software environment. Finally, the calibrating test was conducted. The results prove this apparatus can obtain the anticipant effect.
The Design of Portable Wireless Remote ECG Monitor System
Authors: Peng Yan , Qin Zhi Gang
Published: July 2013

The paper designed a portable remote wireless ECG monitor system for daily health monitoring, which used a high-performance ARM11 microprocessor S3C6410 as the core. It can achieve a real-time display and remote monitoring of the ECG signal, with the advantages of portability, energy-saving, powerful function, security and stability. The detector is mainly for family, hospitals and community.
Application of Digital Videometrics in the Vibration Test of Suspension Cable
Authors: Fan Sheng Hong , Gou Zhi Yang , Wu Ya Jun , Li Cong , Wang Qiang , Qi Xiao Tong
Published: July 2013

This paper devotes to vibration test based on digital videometrics. The new non-contact measuring technology has good dynamic performance and high accuracy. It is applied to the suspension cable of an indoor scaled model of FAST telescope and successfully gets the identified modal parameters such as natural frequency and damping ratio. Special focus is put on the principle of digital videometrics and the testlayout. Besides, the related signal processing before parameter identification is also discussed.
An Automatic Control and Measurement System of Compressor Experimental Operation Platform
Authors: Liu Zhi Feng , Lv Yan , Ma Ji Kai
Published: July 2013

According to actual needs of measurement system, the virtual instrument with functions of automatic acquisition and automatic control was built by NI data acquisition card. Then, automatic control and measurement system with modular features was set up using LabVIEW software. The mode of autonomous configuration is flexible and convenient, which can greatly improve the adaptability of the device in the actual measurement. The experimental efficiency was enhanced, and the experimental data was reliable.
Reducing Quantitative Fluctuation of Laser-Induced Breakdown Spectroscopy by Kalman Filtering
Authors: Sun Lan Xiang , Cong Zhi Bo , Xin Yong , Qi Li Feng , Li Yang
Published: July 2013

Laser-induced breakdown spectroscopy (LIBS) is excellent for its potential of online compositional analysis. Large signal fluctuation is the major obstacle of LIBS for quantitative analysis application. A kalman filtering method is proposed to estimate the elemental concentration and smooth the quantitative results. The system state model and the measurement model are deduced. The relation matrix between the measured values and system state is estimated based on calibration curve built on some standard samples, and the measurement noise matrix is estimated by the variance of multiple measurements of the spectral intensity. In order to make Kalman filter follow the changes of elemental concentration, the initial value of the covariance matrix of estimation error is reset as a certain rule. The experimental results show that the Kalman filtering method can greatly reduce the fluctuation of quantitative results and improve the measurement accuracy.
An Intelligent Instruments Management System for Test Instruments
Authors: Lai Jing Ming , Wang Shi Hong , Xue Feng , Liu Ke , Chen Jing
Published: July 2013

Based on ARM embedded platform and WINCE system we developed an intelligent system oriented to test processes in the power supply industry. The intelligent instruments management system(IIMS) used RFID(Radio Frequency IDentification) technology and achieved the functions such as automatic instruments identification, automatic confirmation of the operators, the operations of warehouse site controller, electronic use records, etc. IIMS could be controlled remotely via LAN(Local area network). IIMS was applied to the test team in Dongguan Power Supply Bureau. The implemental results show that it greatly enhances instruments usage efficiency. The average time of check-in and check-out of each instrument in the regular operations drops from 69 seconds to 11 seconds. The implementation also shows that IIMS is responsive with stable performance.
A Comprehensive Test System for Precision Transmission Performance of CORT Reducer
Authors: Li Yong , Ma Guang , Shen Yun De , Cheng Tai Hong , Li Zhen Zhe , Xuan Dong Ji , Ren Ming
Published: July 2013

To meet the needs of test for compound oscillatory roller transmission (CORT) reducer, A comprehensive test system for precision transmission performance was designed, the test-bed structure and control principal of which were introduced. First, a transmission performance test method was proposed and focused on the transmission performance of velocity ratio, accuracy, and efficiency. Then, user interface based on LabVIEW program was designed, and the transmission performance of torque, angle, velocity, velocity ratio, return difference, efficiency could be displayed. Finally, measurement example on an E80 type CORT reducer has been made, and shows that the proposed test system is suitable for test for these reducers of high-precision drive, high stiffness, high load characteristics.
Accuracy Analysis of the K&C Test-Rig Measuring System
Authors: Zhang Li Hao , Guo Kong Hui , Chen Shu Qi
Published: July 2013

Target parameters of the K&C test-rig is introduced in this paper. Establish McPherson independent suspension and K&C test-rig multi-body dynamics model .The measurement data of angle sensors is obtained in the wheel travel simulation. Accuracy analysis of target parameters when there are machining errors, installation errors and calibration errors in the measuring system. Accuracy analysis of target parameters when using the different measurement precision angle sensor. Comprehensively consideration of the measuring system all error factors, the accuracy is analyzed. The coordinate error of the installation point between measuring plate and the hub has greater effect on the toe and camber calculation.
Research and Design of the License Plate Recognition Systems Based on ARM S3C2440
Authors: Qin Zhen Tao , Yang Wu Nian , Yang Ru
Published: July 2013

In order to meet the need of real-time and dynamic monitoring of intelligent transportation, a License Plate Recognition (LPR) System Based on ARM S3C2440 is introduced and a vehicle license recognition system is designed and realized. This thesis comparatively explains the tasks and problems and dose analytic research across all phases of the system. Image binary and slant rectification also be discussed, which are difficulty points in LPR. According to the study of the license plate images, we use hough transformation and image reverse rotation , a inclined rectification method was proposed. The experimental results show that the approach is excellent in the accuracy with rapid speed and is in the robustness.
Research on Fullbore Turbine Flowmeter Application in Daqing Oilfield
Authors: Li Xiao Xu , Wang Chang Bin , Wang Miao , Dong Jie Nan , Sun Jiu Zhou
Published: July 2013

This paper introduces measurement principle, structure and technical indicators of the fullbore turbine flowmeter, presents application examples and measurement results in Daqing oilfield, analyzes and discusses the result chart of measurement, and puts forward relevant insights on the flowmeter.
Digital Measurement System for Ship Draft Survey
Authors: Gu Hong Wei , Zhang Wang , Xu Wen Hai , Li Ying
Published: July 2013

In order to overcome the limits of visual observation widely used in ship draft survey, a digital measurement system based on image acquisition and processing is presented. The images of drafts are obtained by an image acquisition unit containing a high definition camera extended to the shipboard from the deck. The draft marks are digitalized in use of a multilayer neural network, and the draft lines are detected by means of color image segmentation algorithm. Finally, the ship's trim are identified based on the relative position of the draft line located at the digitalized draft marks, where the artificial influences are eliminated. The influences of wave may also be reduced by calculating the mean value of the ship's trim obtained from different images.
Three-Dimensional Measurement System Based on Line Laser
Authors: Yu Le Wen , Zhang Da , Zhang Yuan Sheng
Published: July 2013

This paper puts forward a three-dimensional measurement system based on line laser, describing its operating principle. Extracted the light stripes center by image processing technology, and establishing mathematical model, detecting the depth information by the method of laser triangulation, and reconstructed the three-dimensional form of object. The experimental results indicate that measurement accuracy less than ±0.03mm when the measurement range between 0mm to 10mm.
The Research on the Methods of the Aero Engine Blades Evaluation
Authors: Ma Wen Qi , Liu Shu Gui
Published: July 2013

As an important part of the aero engine, the quality of the blade seriously affects the engine performance, so the inspection method of the blade is significant. Based on the research of the HB 5647-98<> , this paper concludes different evaluation methods of the blade. The main evaluated parameters include the leading and trailing edge radius, the chord length, the maximum thickness of blade profile, the mean camber line, and the surface twist and so on. Here we mainly discuss the previous three terms. The least square method is adopted to fit the arc of the leading and trailing edge; introduce the projection method to calculate the chord length; at last, we employ the spline fitting method to get the mean line and then obtain the maximum thickness of the blade section.
A Study of Poor Conductor’s Thermal Conductivity Coefficient Measurement
Authors: Leng Xue Song , Ran Kai Hua , Wang Yan Dong
Published: July 2013

When measuring the thermal conductivities of poor conductor with steady-state method, some errors should be introduced through the process of the experimental principle derivation to the experimental data measurement. To satisfy the need of measurement, this study aims to improve the structure of the “TC-I1 Type thermal conductivity measuring apparatus” correspondingly: we placed two fans at the side of the cooling plate, thus effectively control the stability of the strong-force convection cooling environment. This study chose digital thermometer of UT325 Type to collect temperature signals, storing the data on computer and putting such data under fitting process with the software Matlab. Compared with the traditional measurement, the post-modification apparatus successfully achieves lower errors in the coefficient of heat conductivity measurement and thus the results are closer to the inherent attribute values of the sample plate. It’s very satisfactory to the requirements of teaching and scientific research oriented measurements.
Study of Relationship between NQR Signal Amplitudes and Nitrogen Contents in Explosive Simulants
Authors: Hao Feng Long , Xu Geng Guang , Huang Xue Yi
Published: July 2013

This paper investigated the relationship of the nuclear quadrupole resonance (NQR) signal amplitudes with nitrogen contents and frequencies of explosive simulants based on the NQR explosive detection principle. The NQR signals of urea, urotropine and sodium nitrite were detected by experiment at room temperature, and the signal spectra of the nitrogenous compounds with different weights were obtained. The results indicate that the NQR signal amplitudes of the same mimic are increasing linearly with the increase of weights under the same experimental conditions, meanwhile, the higher the frequency, the greater the signal amplitude. The NQR signal amplitudes of different mimics do not rely on the nitrogen contents, but depend on the other internal factors such as relaxation times, NQR frequencies and so on. The experimental data are consistent with the theoretical predictions. The results will be of value to the detection of NQR signals in explosives and the research on how to improve the signal-to-noise ratio (SNR).
Evaluation of Uncertainty Measurement with Intelligent Contact Type Interferometer
Authors: Li Jin Hai , Wang Xing Long , Cao Suo Sheng , Song Zhan Biao
Published: July 2013

An evaluation is conducted to the uncertainty measurement with contact type interferometer after intellectualized improvement. CMOS sensing photographing technology and computer technology are applied to the improvement of contact type interferometer. A mathematical modeling is established by taking pixel number as reading unit and gauge block length comparative measurement method as means. The purpose is to analyze the source of measurement uncertainty, estimate the standard uncertainty of input, evaluate and set forth the expanded uncertainty. The result of evaluation is superior to the level of measurement uncertainty before improvement.
Study on the through Error in Shielded Subway Tunnels and Distribution of its Limits in Different Phases
Authors: Zhang Hui Hui , Lu Chun , Mo Zhong Sheng
Published: July 2013

One of the key technologies to make shield tunnel successful is to ensure that the subway tunnel can through exactly according to design requirements. This paper conducts theoretical analysis of shield tunnel through errors sources, reasonable distribution of its limits for plane control measurement in different stages and illuminates layout principles and limits optimization of ground control point in long and large shield zone.
A Fully Digital Beam Position and Phase Measurement Electronics for the Proton LINAC in ADS
Authors: Hu Xiao Fang , Zhao Lei , Gao Xing Shun , Liu Shu Bin , An Qi
Published: July 2013

The beam measurement is essential for an accelerator. In the proton LINAC in China Accelerator Driven Sub-critical system (ADS), a high resolution measurement of beam position and phase is required within one single system. To meet the requirement, this beam position and phase measurement (BPPM) electronics is designed based on a direct RF under-sampling technique, which simplifies both the analog and digital processing circuits. The signals received from the LINAC are narrow pulses with a repetition frequency of 162.5 MHz and a dynamic range more than 40 dB. After analog manipulation, the input RF signals are directly converted to In-phase and Quadrature-phase (IQ) streams through under-sampling based on the high-speed high-resolution Analog-to-Digital conversion technique. All signal processing is integrated in one single FPGA, in which real-time beam position, phase and current can be obtained. A series of simulations and tests have been conducted to evaluate the performance. Initial test results indicate that this system achieves a position resolution better than 20 um and a phase resolution better than 0.1 degree over a 40 dB dynamic range with the bandwidth of 780 kHz, which is well beyond the application requirements.
Online Acquisition and Display of Track Parameters Based on Visual C++
Authors: Lin Zhi Ying , Zhao De An
Published: July 2013

Microsoft Visual C++ was used to achieve the online acquisition and display of the track parameters, based on the comprehensive online testing car platform of rail transport railway catenary and track. The communication between PC104 embedded IPC and MCU data acquisition system was accomplished through serial port and MSComm control. The static window-split method and MSChart control were both used to draw the several parameters real-time lines in different grids of a window. Using ADO to save data was also introduced. The operation result show the functions of acquiring,displaying and saving track parameters ,which are expected and required, are realized.
Design of High Frame Frequency Data Communication System on Theodolite
Authors: Wang Fang
Published: July 2013

The data communication system is the internal data exchange platform of theodolite, which completes data exchange among multiple subsystems. According to requirement of proving range to target attitude measurement, the rate of real time target image storage is quicker and quicker, as the synchronous measurement information deliverer, the communication frame frequency of data communication is also increasing. Adopting time pre-processing method resolves the problem that B code terminal cannot provide high frame frequency time information, The utilization of ARM processor built in watchdog counter function and configuration of external interruption signal can realize the precise time sequence control, and realize the synchronous transmission of measured data in case of high frame frequency, and the software realization method is provided.
Microbial Biosensor Data Acquisition System Based on CC2530
Authors: Li Chao , Jiao Rui Li , Wang An Chun , Bai Zhi Hui
Published: July 2013

Although microbial biosensor can be used for online monitoring, its application is limited due to the data acquisition and transmissions are difficult. This paper presents a wireless high-precision microbial biosensor data acquisition system. It is constructed with CC2530 as the core chip, while NUC120, PGA280 and ADS1259 as supplemented chips. Software design uses C and LabVIEW. Because of wireless transmission, the system can availably solve wiring problem of special environment and is easy to connect to the Internet. It expands the application scope of microbial biosensor effectively, and can be widely used in all kinds of small data acquisition fields which require high-precision.
A Compact Design for Acquiring Data
Authors: Chen Ya Guang
Published: July 2013

The paper introduces a compact design to obtain data of more than eight channels. The design bases on the high integration microchip and analogy switch to obtain data. It can transmit the data to computer or microchip by RS485 or USB mode. The design has very small PCB area and low price.
OPC Client Application for CNC System Reliability Testing
Authors: Lv Dou Pan , Liu Qiang , Peng Chong
Published: July 2013

In order to realize the batched and long-term testing for different models of CNC system, a testing system was built based on the Supervisory Control And Data Acquisition (SCADA) system architecture. It principally adopted the OLE for Process Control (OPC) technology to develop the client application. Through the millisecond access to the OPC server, the client monitors and stores all the field data points. Furthermore, the objective and accurate test data of CNC system reliability is retained. The client has been applied in analyzing the variation of all the field data points. It shows the testing method is effective.
High-Speed Data Acquisition System Based on FPGA in Missile-Borne Test System
Authors: Zhou Ming Yu , Zhou Xuan , Zheng Guang Yu , Peng Shu Sheng
Published: July 2013

In this paper, a high-speed data acquisition system based on FPGA is introduced, which has three different channels with one 5Msps sampling rate and 3×256Mb NAND FLASH. This system is controlled by a large scale FPGA chip from Xilinx Inc., XC3S500E-4FG320C. The collected data are first stored in nonvolatile flash on this fuse in-orbit and imported into a USB disk after down-falling. The main hardware and software design of each module are introduced in detail. Experiment results are shown in the final chapter.
Temperature and Humidity Monitoring System Based on CC2530
Authors: Xu Bo , Zheng Yong Jun , Yin Yan Xin , Tan Yu
Published: July 2013

This paper introduced a system based on wireless network technology, which achieved node-to-node data collection and transmission. The ZigBee-based wireless network of the system adopted the chip CC2530 of TI company. The system developed applications based on Z-STACK for data collection and wireless transmission, it used VC++ to make a PC software for real-time monitoring of temperature and humidity. The research results show the feasibility of the system, and it would be widely used in the measure field of agriculture.
A Web-Based Remote Laboratory Using SCADA Technology
Authors: Wang Hua Zhong , Cheng Hua , Yao Jun
Published: July 2013

This paper presents an internet-based remote laboratory for process control on double holding water tanks using supervisory control and data acquisition (SCADA) technology. A three layer distributed system supporting web application was proposed. Programmable logic controller, measurement instruments, display instruments and configuration software were used as the main hardware and software to develop the laboratory system. Remote operations by the engineering students show that the laboratory system is useful in helping the students understand the control theory through remote experiments.
Study on the Position Drift of GPS Single Point and Improving the Accuracy of Positioning
Authors: Yan Fei , Gong Yin Xi , Feng Zhong Ke
Published: July 2013

With the development of social and economy, and the large demand for geospatial information, GIS and GPS technology have deeply penetrated into the areas of land resources, logistics and urban management. Therefore, the research on the position drift of GPS single point and improving the accuracy of positioning data by relatively low cost GPS module, to make the low cost products acquiring position information in high precision has a high practical value for meeting the demands of Low-precision navigation and agricultural survey.
The Demodulate and Denoising of Vibration Signal under very Noise Condition
Authors: Hu Wen Ming , Wang Gui Tang , Zheng Li , Chen Sheng Yi
Published: July 2013

For the failure diagnose of onsite mechanical equipment, which based on vibration noise in section, both characteristic signal and noise influence were contained in vibration signal, which all accepted by the machine. The problem arise when the characteristic signal was weak compare with the useless noise, the useful signal becomes hard to obtain, hence result in lower accuracy of the equipment. In this thesis, a new method based on the delayed autocorrelation demodulation method was analyzed and will be used on demodulation noise reduction: Based on the noise reduction feature of autocorrelation function, the related analysis was taken on vibration signal, then the autocorrelation function for the signal was obtained. Then with proper delay on autocorrelation function to avoid noise effect and envelop demodulation, we could achieve the demodulation result. The theoretical analysis and simulation experiments has proven the delayed autocorrelation demodulation method achieve better anti-noise performance than direct demodulation method, meanwhile, the delayed autocorrelation demodulation method could also highlights the characteristic information.
De-Noising Method for Wayside Train Bearings Acoustic Signal Based on Doppler Shift
Authors: Hu Fei , Shen Chang Qing , Kong Fan Rang
Published: July 2013

The noises with high level from the different positions of the train lead to the difficulty for extraction of the acoustic signal from the train bearings. Thus the de-noising should be carried out to eliminate the influence of the noises. A new de-noising method has been proposed based on the Doppler Shift. With the crazy climber detection algorithm, all the instantaneous frequencies could be extracted. According to the acoustic theory of Morse, the information of the position of these acoustic sources is revealed. Finally, the variable digital filtering was employed to remove the noises from the other positions of the train. A simulation on the signal containing with ten frequency components demonstrated the validity of this method proposed and the useful components of the signal were enhanced.
Study on Filtering Methods of Airborne Gravity
Authors: Zhou Wei , Cai Ti Jing
Published: July 2013

There are a great number of high-frequency and low-frequency noises in the airborne gravity data, so the filtering technology is needed to pick up the weak gravity anomaly. Based on the current filtering methods in airborne gravity data processing: butterworth infinite impulse response(IIR) filtering, window function finite impulse response(FIR) filtering and Kalman smoothing, several methods were compared and studied for the measured airborne gravity data, and the accuracies of extracted gravity anomalies were presented. Results show that the accuracy of Kalman smoothing is better than that of the combined filtering with butterworth IIR and window function FIR.
A New Approach for Optimal Decomposition Level Selection in Wavelet De-Noising
Authors: Zhang Yong Xin , Chen Li , Jia Jian , Fang Ding Yi
Published: July 2013

The paper introduces a novel algorithm to determine the optimal decomposition level in wavelet de-noising. The algorithm selects the optimal decomposition level by comparing the sparsity of wavelet coefficients at adjacent levels. The level whose wavelet coefficient has the maximum sparsity can be confirmed as the optimal decomposition level. We demonstrate experimentally that wavelet de-noising performs better using optimal decomposition level determined by our proposed algorithm than White Noise Test (WNT) method and Maximum Energy (ME) method.
Coal-Gangue Acoustic Signal Recognition Based on Sparse Representation
Authors: He Ai Xiang , Liu Nan , Wei Guang Fei
Published: July 2013

Our country has rich coal resources. Further research is great significant to realize the automation of top coal caving mining technology. This paper presents a new method based on sparse representation for coal and gangue signal recognition. To solve the mining noise problem, the wavelet analysis is used to filter and de-noising. Sparse representation classification is based on the theory of compressed sensing. Recognition is achieved by analysis the sparse vector that the linearly optimal representation for a testing sample based on the training sample. Experimental results performed the method is accurate and stable.
Study on the Parameters Normallization of the Stochastic Resonance Recovery System
Authors: Deng Hui , Liu Hao , Zhang Han , Piao Jin Lan
Published: July 2013

Stochastic resonance (SR) enhances the nonlinear system behavior with the assistance of noise. The energy-transfer mechanism makes the weak information revealed in the output spectrum, while the time-waveform is distorted. The stochastic resonance recovery parameters normallization was derived, and which is proved to be true through the circuit numerical simulations applications.
Anti-Jamming Performance Study of Adaptive Antenna
Authors: Cao Fei , Wu Fan , Li Jing
Published: July 2013

This paper analyzes the radar anti-jamming adaptive antenna beamforming algorithm, orthogonal subspace projection algorithm used in radar anti-jamming eigenvectors in the process can not be completely orthogonal subspace decomposition, constraints annihilatorspace decomposition algorithm to ensure orthogonal subspace eigenvectors. Finally, the simulation proved: subspace tracking algorithm has stronger anti-interference performance relative to the traditional adaptive algorithm.
Single-Pulse System of Radar Anti-Aimeds Jamming Performance
Authors: Cao Fei , Wu Fan , Fang Lu
Published: July 2013

In modern warfare, electronic jamming air defense missile weapon system is the greatest threat to the seeker for terminal guidance radar interference is an important aspect of electronic interference. Successful interference allows the weapon system hit rate to reduce or even out of control. Therefore, analysis of the impact of interference on radar seeker to intercept and track the performance of meaningful analysis and modeling, this paper mainly targeting blanket jamming interference and interference conditions of the monopulse system radar seeker performance were analyzed.
Research on Performance of Analog to Information Converter
Authors: Tang Bei Bei , Zhang Yun , Xu Zhi Jing , Li Jun
Published: July 2013

Compressive Sensing (CS) Theory enables sampling discrete signals with quite lower sampling rate compared with traditional Nyquist sampling rate and guaranteeing faithful reconstruction. Based on CS theory, Analog-to-Information Conversion (AIC) was proposed to process continuous-time signal. In this paper, the framework of Analog-to-Information Converter is composed by a pseudo-random demodulator, a low pass analog filter and a low speed sampler. And we mainly discuss the damage on the signal recovery produced by lower and higher orders of filter impulse response.
A GNSS Interference Monitoring Method with Low False Alarm and Low Missed Detection Probability
Authors: Han Qi Wei , Huang Ting , Chen Fei Qiang , Nie Jun Wei , Wang Fei Xue
Published: July 2013

Interference monitoring and analysis for GNSS frequency bands plays an important role in construction and development of satellite navigation systems, which can promote interference source locating, and has much benefit for system construction and the development of anti-jamming equipments. Due to high satellite orbits, GNSS signals reached the ground are very weak and submerged below the thermal noise, which makes it vulnerable to interference. Interference sources for satellite navigation system require only a small transmission power; however, a significant interference effect can be obtained. Therefore, a high sensitivity is needed by interference monitoring for satellite navigation system. The interference judgment threshold is close to thermal noise power, which often causes a higher probability of false alarm. It is very important to reduce the probability of false alarm at the same time to ensure high sensitivity. In this paper, a high sensitivity (low missed detection probability) and low false alarm interference monitoring method is proposed, a dual decision threshold is designed, thus the probability of false alarm can be effectively reduced at the same time of identifying interference accurately. The experimental results demonstrated the effectiveness of the algorithm.
Research on the Tube System for the Pressure Measurement
Authors: Yue Ting Rui , Yin Xi Wei , Yan Li
Published: July 2013

This paper gives a research on characteristic of fluctuating pressure, using different kinds of pressure Tubes to research. And this paper researches on how to use different restrictors in different tube systems to obtain the regulation of fluctuating pressure in the pressure Tube. This paper also gives the measurement result of delay time in different tube systems.
DFCWs Design Based on Improved DPSO
Authors: Li Jing Jun , Jiang Yong Hua , Dan Bo , Gao Wei Wei
Published: July 2013

Orthogonal discrete frequency coding waveforms(DFCWs) is an ideal quasi-orthogonal waveform. This paper analyses the ambiguity function of DFCWs and the results indicate that the correlation characteristics of DFCWs have only relationship with the code length and coding order. Based on the theoretical analysis, we defined the cross-correlation energy as the cost function, and used the improved discrete particle swarmoptimization(DPSO) to optimize the order of DFCWs. The new signal can effectively restrain the cross-correlation level between the two DFCWs. Simulation results verify the effectiveness of the designed DFCWs.
DOA Estimation for L-Shaped Array Based on Complex FastICA
Authors: Liu Xiao Zhi , Wang Chen
Published: July 2013

Combining complex FastICA and L-shaped array DOA (Direction of Arrival) estimation, a new algorithm is proposed. Firstly, the received signal is whitened to reduce the computational load, Secondly, the original signal is restored by the ICA algorithm, Thirdly, the generalized separation matrix is inversed to obtain the estimation of the array manifold. Finally, the estimated steering vector is projected to the ideal L-shaped array to get the final results. This algorithm doesnt need a spectral peak search, What is more, it is able to recover the source signal during the estimation. The formed new algorithm can get faster speed without losing the intrinsic advantage of the original DOA estimation algorithm. Simulation results confirm the validity of the new algorithm.
Parallel Channel Equalizer for Mobile OFDM Baseband Receivers
Authors: Ding Wei , Xu Tao , Song Min , Gu Wei
Published: July 2013

Mobile OFDM refers to OFDM systems with fast moving transceivers, contrastive to traditional OFDM systems whose transceivers are stationary or with a low velocity. An efficient implementation of the channel equalization for mobile OFDM is presented in this paper. Based on the particular OFDM subcarrier allocations, the channel equalizer is split into separated sub-equalizers, enabling a concurrent implementation. This parallel equalizer is implemented on an FPGA platform. The experimental results show that without an efficient design, mobile OFDM leads to an unacceptable hardware cost. The proposed parallel equalizer for mobile OFDM can compensate for time-varying channels, in which a traditional OFDM receiver fails to operate, although the paid price is that the hardware resource is reasonably increased.
A New Method for Phase Difference Estimation Based on Time-Varying Signal Model
Authors: Niu Peng Hui , Qin Yin Lei , Qu Shun Ping , Lou Yang
Published: July 2013

A new signal processing method for phase difference estimation was proposed based on time-varying signal model, whose frequency, amplitude and phase are time-varying. And then be applied Coriolis mass flowmeter signal. First, a bandpass filtering FIR filter was applied to filter the sensor output signal in order to improve SNR. Then, the signal frequency could be calculated based on short-time frequency estimation. Finally, by short window intercepting, the DTFT algorithm with negative frequency contribution was introduced to calculate the real-time phase difference between two enhanced signals. With the frequency and the phase difference obtained, the time interval of two signals was calculated. Simulation results show that the algorithms studied are efficient. Furthermore, the computation of algorithms studied is simple so that it can be applied to real-time signal processing for Coriolis mass flowmeter.
Association Rules Mining Techniques Used for Relevance Analysis of 500kV EHV Power Grid Off-Limit
Authors: Lu Hai Wei , Wu Gang , Liu Ming Chun
Published: July 2013

In the long-running process, SCADA system have accumulated a mass of the grid off-limit information, if we idle this information, will lead to so called resources deserted, at the data level, through data mining tools, we can have a correlation analysis of the off-limit information accumulated in the grid fault history library, to dig out the law, in a certain sense, the law can be the criterion for the grid Warning Decision Support.
Configurable Modernized Navigation Signal Generation Method and Performance Analysis
Authors: Zhang Xin , Tian Feng , Li Cai Hua , Sun Guang Fu , Ou Gang
Published: July 2013

In order to provide higher accuracy performance in navigation and positioning requirements, modernized navigation signals with more complex structure, such as MBOC or AltBOC signal, have been actively researched and used in the modernized GPS system, like emerging Galileo and BD-2 system. For the navigation signal simulator which generates those modernized signals, traditional bipolar BPSK or QPSK signal generation method cannot permit to generate those multi-level signals successfully and different modernized signals flexibly. After analyzing the current public modernized signal structure, a novel configurable signal generation method for generating the modernized navigation signal has been proposed. The amplitude quantization word-length and phase truncation error of the LUT (look-up table) used by the method have been analyzed. Experimental simulation results demonstrate the correctness and efficiency of this new method.
Automatic Transcription of Piano Music Using Audio-Vision Fusion
Authors: Wan Yu Long , Wu Zhi Gang , Zhou Ruo Hua , Yan Yong Hong
Published: July 2013

Over the last decade many sophisticated and application-specific methods have been proposed for transcription of polyphonic music. However, the performance seems to have reached a limit. This paper describes a high-performance piano transcription system with two main contributions. Firstly, a new onset detection method is proposed using a specific energy envelope matched filter, which has been proved very suitable for piano music. Secondly, a computer-vision method is proposed to enhance audio-only piano music transcription, using the recognition of the player's hands on the piano keyboard. We carried out comparable experiments respectively for onset detection and overall system based on the MAPS database and the video database. The results were compared with the best piano transcription system in MIREX 2008, which still kept the best performance in piano subset till MIREX 2012. The results show that the system outperforms the state-of-art method substantially.
An Improved Direct Current Prediction Method for Intra Coding
Authors: Chen Chang Nian , Zhu Rui
Published: July 2013

Direct current mode is one of the primary prediction modes for intra coding. In the coding standard, it has not concerned the spatial correlations between neighboring pixels, which limits its coding performance. To address this problem, an improved prediction method is proposed in this paper. In the prediction scheme, prediction pixel uses its available neighbor samples and its value is set to be the mean of the references. The reference samples are not only from other encoder blocks but also pixels predicted in current block. Experimental results demonstrate that the proposed method advances in both coding performance and coding efficiency, compared with the existing method.
Improved Algorithm for Pitch Detection and Harmonic Separation
Authors: Zhao Yi , Zhang Sheng , Lin Xiao Kang
Published: July 2013

In this paper, we have proposed a new algorithm for pitch detection and an idea for harmonic separation based on pitch detection. Firstly, we have introduced the pitch algorithm. It is mainly consisted of five parts: mean value removal, extraction of alternative pitch periods, best pitch transfer path search, accurate pitch period search with time-varying filter and the search of fractional pitch period. Then we have brought in a harmonic separation algorithm based on the pitch detection. The pitch detection algorithm and harmonic separation algorithm proposed in this paper is mutually beneficialExperiments results show that the new pitch detection algorithm can achieve higher accuracy. And compared with some other algorithms, this approach owns a better noise immunity. The harmonic separation algorithm can separate each harmonic signal accurately.
Acoustic Events Detection in Dissimilarity Measurement Space
Authors: Jia Lin Bin , Li Lin , Nie Rong
Published: July 2013

The paper considers the problem of detecting acoustic events in a robust manner. The dissimilarity measurement is used to measure the distance between acoustic samples. Then this distance is used as the replacement of the Euclidean distance to build the detection model with the SVM algorithm. All the well-known features are considered when we build model in a way of feature subset ensemble. Experiments are conducted to detect events under a variety of environmental sounds. The model demonstrates the robustness of the ensemble method with dissimilarity measurement. The detection model has shown to produce comparable performance as human listeners.
Effect of Speaking Rate on Chinese Speech Recognition for Foreign Students
Authors: Cui Shui Hui , Peng Jian Xin
Published: July 2013

Three room impulse responses with different reverberation time in mid-frequency were obtained at a listening position from a classroom model through room acoustical simulation. Chinese speech recognition for foreign students was performed under different speaking rate conditions using auralization method. Effect of reverberation time and speaking rate on Chinese speech recognition for foreign students was investigated. The results showed that reverberation time and speaking rate had a significant effect on Chinese recognition scores of foreign students. The shorter the reverberation time was and the slower the speaking rate was, the higher Chinese recognition scores of foreign students were. The longer the reverberation time was and the faster the speaking rate was, the lower Chinese recognition scores of foreign students were.
Study on Soil Salinization Based on GIS and RS
Authors: Ma Chi
Published: July 2013

This paper obtained the surface reflectance image by using FLAASH atmospheric correction model to conduct atmospheric correction to the HSI image. After the reflectance image was processed with multi mathematical manipulations, the analytical method of geographic information system (GIS) was applied to carry out the partial least squares regression (PLSR) analysis with the measured value of soil salinity, thus quantitatively inverting the soil salinity in Songliao Plain. The research result indicated that the reflectance of HSI hyperspectral imaging can increase the related coefficient R2 of salt content in saline alkali soil significantly after being processed with reciprocal (1/R) and first-order differentiation (R), reaching 0.818 and 0.851 respectively with a root mean square error (RMSE) of 0.77 and 0.694 respectively, quantitatively and quickly gaining the soil salinity in Songliao Plain as well as salinization prevention.
Object Detection Algorithm in Traffic Video Surveillance Based on Compressed Sensing
Authors: Li Fen Lan , Peng Zhuo Tao , Zhuang Zhe Min
Published: July 2013

To adapt the contradiction between the increasing information quantity of highway traffic network monitoring and the limited network bandwidth resources, this paper proposes an object detection algorithm based on Bayesian compressed sensing. Video are sparse in a wavelet base, and a partial Hadamard measurement matrix is adopted to compress the video. The object detection method combines background difference and Bayesian compressed sensing of wavelet tree structure. To get more accurate foreground, an adaptive background model is proposed. Experiments results show the accuracy and effectiveness of the method, and can robustly detect the targets under changing light and reduce the price of video transmission.
An Variable Coefficient Images Denoising Method
Authors: Zhou Da Peng
Published: July 2013

Proposed An images denoising method by using variable coefficient in filtering. The key point is using different coefficient to minimize the influence of each gray values of the pixels as is regarded as black noise and white noise and choosing a threshold to decided which filter will be used as the most suitable one. Usually,a image is polluted by Gaussian noise and impulse noise simultaneously, It cannot be obtained if only using one of them,though both median and average filter are used inimage denoising in obtain the edge as well as detail characteristics of impulse noise image and smoothing Gaussiannoise respectively when denoising in spatial space. Experimental results show that the variable coefficient method can improve the quality of images than the classical methods.