bluuebunny/crossref_metadata_2025 huggingface dataset:
Semiparametric Regression Analysis on the AB Data with Zero-Point Drift
Authors: Tian Yuan , Luo Jie
Published: June 2014

To deal with the AB data with zero-point drift, Swanson and Schlamminger have proposed a filter method to remove the drift of any desired polynomial order, and then give the best linear unbiased estimator of the observable, on the condition that the order of drift is known. Since this method directly removes the drift, one can not know the tendency of the systematic error. This paper proposes to construct a semiparametric regression model for the data, and then take the penalized least squares method to estimate the observable and the drift tendency simultaneously. Simulation analysis shows that the semiparametric method can reach the same accuracy of the filter method, and the estimation of the drift fits well with its actual value.
Split Train-Induced Vibration and Seismic Wave Using Independent Component Analysis
Authors: Jiang Wen Xiang , Yu Hai Ying , Xie Li Li
Published: June 2014

Strong motion stations have been constructed as a part of earthquake early warning system for high-speed train in China. They are deployed near railways and influenced by train-induced vibration. Then, picking seismic phase, estimating azimuth and extracting predominant frequency become difficult in this scenario. These procedures play a crucial role in locating earthquake, estimating its magnitude and then providing reliable warning to trains. In this paper, instantaneous mixing model was used to describe this problem and show that this influence could be removed by independent component analysis utilizing double sensors.
The Training Algorithm of Fuzzy Coupled Hidden Markov Models
Authors: Du Shi Ping , Wang Jian , Wei Yu Ming
Published: June 2014

A variety of coupled hidden Markov models (CHMMs) have recently been proposed as extensions of HMM to better characterize multiple interdependent sequences. The resulting models have multiple state variables that are temporally coupled via matrices of conditional probabilities. A generalised fuzzy approach to statistical modelling techniques is proposed in this paper. Fuzzy C-means (FCM) and fuzzy entropy (FE) techniques are combined into a generalised fuzzy technique and applied to coupled hidden Markov models. The CHMM based on the fuzzy c-means (FCM) and fuzzy entropy (FE) is referred to as FCM-FE-CHMM in this paper. By building up a generalised fuzzy objective function, several new formulae solving Training algorithms are theoretically derived for FCM-FE-CHMM. The fuzzy modelling techniques are very flexible since the degree of fuzziness, the degree of fuzzy entropy.
Harmonic Detection in Micro-Grid Based on Modified S-Transform
Authors: Liu Guan Qi , Wu Li Na
Published: June 2014

The excellent time–frequency resolution of the modified S-transform (MST) makes it an attractive candidate for analysis and detection of harmonic in micro-grid. This paper presents a new approach for micro-grid harmonic detection based on the MST. Firstly, the MST was performed for the harmonic signal, and then the feature vectors were extracted from the resulting time-frequency matrix. Finally, the frequency, amplitude and phase of the harmonic were obtained by analyzing and processing these feature vectors. Simulation results show that the proposed approach can detect the harmonic in micro-grid with high accuracy and strong noise immunity.
Lifting Wavelet Detection Method of Transient Power Quality Disturbance for Power System Connected with Micro Grid
Authors: Qian Ping , Wang Yu Juan , Ye Yin Zhong , Liu Jin Sheng
Published: June 2014

Based on the power quality disturbance problems of the power system connected with micro grid, The detecting method of transient power quality disturbance is mainly studied, which based on lifting wavelet transform, after the analysis of lifting wavelet construction principle, the transient power quality disturbance detecting method based lifting db4 wavelet is put forward, the results of simulation and comparison analysis prove that the method can detect and locate the transient power quality disturbances quickly and accurately, so that ,an effective and feasible method is provided to the research of transient power quality disturbance problems brought by the connection between micro grid and power system.
The Equipment Maintenance Technology Research Based on Information
Authors: Zhang Yan Bin , Ma Jiu He , Guo De Qing
Published: June 2014

For the composing and the technical maintenance characteristic of new-type weapon, the BIT information collection technology is developed, and the multi-channel inlayed data acquisition system is established. The implement for equipment technical maintenance can be guided and helped by obtaining equipment technical status information from system, which achieves the science character and pertinence of equipment technical maintenance.
A Method of Test Point Optimization Selection for Analog Circuits
Authors: Li Zhong Qun , Wang Xu Fei , Zhang Shu Nong , Liu Jia Ming
Published: June 2014

In analog electronic systems, characteristic information required for fault prognosis is achieved by test points of a board, so the selection and optimization of test points is an important topic for PHM research of electronic products. Current methods for selection of test points generally rely on functional simulation analysis or testability modeling analysis. Based on this, FMMEA method is introduced to find failure susceptibility components in this paper, moreover, through simulating and calculating the predictability of test points, the final test points are determined. As an example, a board level system is presented to validate this approach.
A RLG POS Development and Application in Motion Compensation of Airborne InSAR
Authors: Wang Wen Jian , Li Jian Li , Fang Jian Cheng , Wei Li Deng
Published: June 2014

Interferometric Synthetic Aperture Radar (InSAR) has become a research focus in airborne remote sensing systems. In order to improve the image quality, it is essential to apply accurate motion error compensation. In this paper, a high-precision Ring Laser Gyroscope (RLG) Position and Orientation System (POS) is developed, and it can offer time and space reference information for InSAR to compensate motion errors. The developed RLG POS was applied in airborne InSAR surveying and mapping system successfully. The airborne experiments show that height estimation sensitivity of InSAR compensated by RLG POS had been improved to 0.27m from 3m.
Cloud Particles Image Playback Design
Authors: Jiao Rui Li , Li Chao
Published: June 2014

Cloud particle image playback is the supporting software of cloud particle measurement system. It completes image playback and analysis, facilitates cloud and precipitation physics research. It has been implemented by JKI state machine and the queuing mechanism of LabVIEW, and includes three core functional modules, data decompression, 2D image data display and the number of particles statistics. The test pattern data and the real data testing results show that the design meets functional requirements completely.
Design of Rehabilitation System of Linux-Based Embedded Stroke
Authors: Zhu Lin , Tian Xue Long
Published: June 2014

A kind of Linux-based embedded stroke rehabilitation system is studied by aiming at the problems concerning the motor functions of patients with stroke. A new rehabilitation platform is provided by combining the cognitive relearning therapy, myoelectrical visual feedback and sEMG-triggered-NMES therapy. The system is stable and simple in operation. According to the clinical test, the system is efficient for the rehabilitation of motor function of patients with stroke.
Displacement Measurement of Supporting Structure in Foundation Pit by White Light Digital Image Analysis in Frequency Domain
Authors: Li Jun Jun , Yang Shi Zhu , Li Yan Feng
Published: June 2014

The supporting structure in foundation pit is very important in civil engineering and is used to support the whole foundation pit. Its diaplacement is directly related to the safety of buildings. White light digital image analysis in frequency domain has the advantages of whole-field, non-contact measurement and the simple measuring system and can obtain displacements by frequency domination correlation arithmetic. In this paper, the method was introduced to measure the displacements of supporting structure. The experimental results show the usability of the method for supporting structure in foundation pit.
A Iteration Processing Algorithm for Multi-Wavelength Pyrometer
Authors: Xing Jian , Cui Shuang Long , Shi Yuan Dong
Published: June 2014

The feasibility and reliability of the retrieval of true temperature and spectral emissivity based on continue measurement data iteration algorithm is explored for multi-wavelength pyrometer. The proposed algorithm is derived theoretically, which can obtain the true temperature by iterative process of searching a team of spectral emissivity correctly. Simulation and experimental results indicate that a fairly reasonable representation of true temperature and spectral emissivity distribution can be obtained using the continue measurement data iteration method. The method has advantages of simplicity, rapidity, and suitability for on-line true temperature measurement by pyrometer.
Fault Analysis of Smart Meter Based on Metering Chip Failure Analysis
Authors: Yang Xue , Zhang Peng He , Chen Sheng , Li Chun Yu , Wang Ya Tao , Li Hao Qi
Published: June 2014

Based on the metering principles of smart meter, this paper designed a sub-module function testing system which can analysis the function of smart meter. According to the principle of the bathtub curve, based on the sub-module function test prototype , we accelerated thermal stress test for the metering chip. By comparing the sampling channel data before and after the test, this paper proposed the metering chip failure analysis methods and processes, to find the cause of the failure, and thus form a “smart meter-metering chip-smart meter” failure analysis flow which can using for the smart meter.
A Perimeter Intrusion Detection System (PIDS) Based on Sensor Network
Authors: Liu Cai Xia , Xie Fang Yi
Published: June 2014

A perimeter intrusion detection system (PIDS) based on sensor network is proposed and designed for safeguarding important area from illegal intrusion. The PIDS consists of a front-end detection sub-system, a control center sub-system, anassociated sub-system, a network transmission sub-system and a power supply sub-system. The front-end detection sub-system is a sensor network containing a large number of smart sensors, which are of different types and functions. The control center sub-system is an integrated control platform based on the special analysis software, which can accurately identify the type of intrusion, locate the intrusion target, and reduce false alarms caused by environmental interference. The other four sub-systems provide the associated video monitoring, acoustic or optical alarm, wired or wireless transmission and AC or DC power supply. The development of sensor network technology has been and will continue to promote the PIDS technology.
A Semantic-Based Routing Algorithm for Hierarchical WSNs
Authors: Du Zi Ping , Jiang Jian Feng
Published: June 2014

Wireless sensor networks have the characteristics of taking the data as the center, focusing on the functions and having no backbone structure. In this paper, a data-forwarding algorithm based on semantic-based routing is proposed, which is aiming at improving the routing efficiency and increasing the lifetime of the networks. First, we defined the semantics of networks, and constructed the expression architecture for semantics of wireless sensor networks. Then we used these semantics to compose data packets. Finally, we matched the semantics from the packets of networks, which determined the direction of packets forwarding. Experimental results show that the algorithm performed better than DD and LEACH. It can reduce energy consumption, redundant data and prolong the networks' lifetime.
Design and Implementation of Reconnaissance Monitoring System in Battlefield
Authors: Fu Xin Hua , Shen Jun , Luo Bei Guo
Published: June 2014

Aim at intelligence requirements, a reconnaissance monitoring system in battlefield is designed. The basic unit of this system is sensor node which has functions of condition information monitoring and wireless communication. The node has a long reconnaissance and monitor to anthropogenic shock, acoustic, coordinate, temperature and humidity of surface, and so on, and access to analyze climate condition and enemy deployment, which provides commanders intelligences of battlefield.
Fast Gaussian Mixture Probability Hypothesis Density Filter
Authors: Wu Wei Hua , Jiang Jing , Liu Chong Yang , Fan Xiong Hua
Published: June 2014

Although the Gaussian mixture probability hypothesis density (GMPHD) filter is a multi-target tracker that can alleviate the computational intractability of the optimal multi-target Bayes filter and its computational complex is lower than that of sequential Monte Carlo probability hypothesis density (SMCPHD), its computational burden can be reduced further. In the standard GMPHD filter, each observation should be matched with each component when the PHD is updated. In practice, time cost of evaluating many unlikely measurements-to-components parings is wasteful, because their contribution is very limited. As a result, a substantial reduction in complexity could be obtained by directly setting relative value associated with these parings. A fast GMPHD algorithm is proposed in the paper based on gating strategy. Simulation results show that the fast GMPHD can save computational time by 60%~70% without any degradation in performance compared with standard GMPHD.
Simulation Study on Characteristics of Nonlinear Photonic Crystal
Authors: Zhao Wen Lei , Zhao Lan
Published: June 2014

Light propagation in the medium is light-matter interaction process. For such a dynamic process, the process can be viewed as consisting of two sub-components: radiative processes and media response process medium light. This paper describes a two-dimensional nonlinear optical microcavities coupling of changing circumstances, to study the two-dimensional photon - photon mixed gas condensation, quantum phase transition, the post also pointed out that the mixed gas of quantum phase transitions and non-traditional linear optics and frequency generation relationship.
Density-Based Energy-Efficient Unequal Clustering
Authors: Pan Jian Min , Shi Qing Hua
Published: June 2014

In this paper, we propose a Density-based Energy-Efficient Unequal Clustering (DEEUC) algorithm to solve the energy consumption imbalance problem of the nodes deployed randomly. The algorithm balances the energy consumption of the cluster by making nodes as cluster head in turn and taking the remaining energy into consideration, which makes the generation of the cluster head more reasonable. It balances the energy consumption of the cluster by generating unequal cluster with different radius based on nodes density and the distance to the sink. In the routing strategy, the cluster head node with high density is chosen as the next hop, which makes the selected node undertake more data forwarding tasks, and balances the regional energy consumption. The simulation experiments show that this algorithm can effectively balance the network energy consumption and prolong the network lifetime.
A Method for Artificial Mark Recognition in Augmented Reality System
Authors: Xie Jin Zhe , Liao Kai , Xiong Jiu Long , Wang Zhi Hu
Published: June 2014

In this article we present a method to recognize artificial marks in augmented reality system. The distribution of marks is obtained by iterative approximation of the inconsistency between the synthetic gray-scale image and authentic binary image. The result shows our method can accurately recognize the marks, and solve the problem of mark recognition with partial occlusion or poor image quality.
A Novel Vector Map Watermarking Evaluation Based on Electronic Chart
Authors: Lai Ming Zhu , Zhang Guo Yin
Published: June 2014

Watermarking appraisement is the key technology for validity checking of the digital watermark algorithm. There is any comprehensive evaluation method proposed for watermarking technology oriented electronic chart. Sometimes, traditional software and testing theory can only give some appraisement indications, and those lacking of credibility. In this paper, a novel watermarking evaluation method was proposed based on certainty factor, with some factors of the proposed model, we can analyze the performance of the specified watermarking algorithm, can which can be quantified, it is also easy to compare with the optimal algorithm.
Research on True 3D Imaging System Structure and Voxel Construction
Authors: Luo Xin Yu , Cao Ying Wu , Yang Yang
Published: June 2014

This paper presents a projection on the basis of the true 3D imaging display system and analyzes construction for the voxel. We proposed a new method based on the theory of high-speed projector - Three DMD/OLED coaxial optical path display. We did some experiments about the clock distribution for the coaxial optical path. The innovation improves frame rate and operating stability for the display device, reduces the high frame rate on one single device. We also found a new approach - local state-space model - Fornasini-Marchesini for constructing the volume pixels. The mechanism is simple to build and low price; the optical field can be displayed in the whole above x-y plane except the zenith point.
Study of Human Behavior Recognition Technology Based on DaVinci Processor
Authors: Wang Chuan , Yang Jie , Xiong Yuan Yi
Published: June 2014

The paper studies the method of behavior recognition. The standing, sitting, squatting postures are recognized in the PC and the Davinci processor. The paper achieves the method that detects the moving regions using codebook method. After the moving regions being smoothed and chosen, then extract the features of regions. Last we train the examples using the K near algorithm and recognize the posture in the video in real time.
View-Invariant Gait Recognition Based on Head and Shoulder Shape Analysis
Authors: Wang Guo Zhen , Zhang Hua , Wang Li Jia , Wang Zhen Jie
Published: June 2014

To improve the recognition rate and resolve the view problem in gait analysis, a view-invariant method is presented. This method extracts the mean shape of the head and shoulder models in a gait cycle by using the Procrustes Shape Analysis (PSA) algorithm. Then, the mean shape is converted from 2-D space to 1-D space by unfolding the 2D mean shape from the top point of the head. Furthermore, the piecewise approximation (PA) of the unfolded mean shape is segmented corresponding to the average distance value. The obtained PA is adopted for estimating views and recognizing the gait. Finally, the presented method is conducted on the CASIA B database. The results illustrate that the PA is a powerful discriminative feature for view estimation and gait recognition, and the performance has been improved when there is view variation.
Wavelet Based Variational Level Set Approach to Segmentation and Bias Correction for Medical Images
Authors: Yuan Jian Jun , Wang Jian Jun
Published: June 2014

This paper presents a wavelet energy map based on an active contour model for medical image segmentation and bias correction in a variational level set framework. In our model the wavelet transform amplifies the faint dissimilarities between regions, and we model the distribution of intensity belonging to each tissue as a Gaussian distribution with spatially varying mean and variance. In addition, we modify the intensity mean as the product of the bias field and true image. Tissue segmentation and bias correction are simultaneously achieved via a level set evolution process. Experiments on images of various modalities demonstrated the superior performance of the proposed approach.
A Novel No-Reference Perceptual Blur Metric
Authors: Li Chao Feng , Ju Yi Wen , Hou Quan Lin
Published: June 2014

In this paper, we present a novel no-reference blur metric for images. The blur metric is based on analyzing image features include the mean value of phase congruency image, the entropy of phase congruency image and the distorted image, and the gradient of the distorted image. The new index does NOT need any information from reference image, and image quality estimation is accomplished by simple functional relationship between those features. Our experimental results show that the new index outperforms existing popular no-reference blurriness metric and full reference PSNR on LIVE Gaussian blurred database and IVC blurring images.
Pedestrian Detection and Tracking Based on Fast HOG and Time Varying System Particle Filter
Authors: Liang Zuo Juan , Dong Ye Chang Xu , Zhang Shan Shan , Chen Yong
Published: June 2014

Pedestrians are quite visually different at multi-scale changes and view-point variations, which are crucial factors for detection. Firstly calculations of multiscale features of HOG(Histogram of Oriented Gradient) from video images are usually based on finer scale pyramid strategy, which is to figure out low-level features respectively at each scale level. This scheme has redundent information and worse real-time performance, which become urgent bottleneck in applications. A new fast scale pyramid strategy based on feature forecast algorithm was adopted according to [1], which can speed up low-level feature calculations and solve real-time problem fundamentally. Secondly a new tracking pedestrian algorithm was proposed, which combined local LBP(Local Binary Pattern) and HOG as a model description of the pedestrian target, the tracking system equation was improved according to the non-uniform motion of the pedestrian in order to enhance the effectiveness and the guidance of the particle propagation. The final experimental results show that this method is more robust than those based on single feature.
A High-Order Model of TV and its Augmented Lagrangian Algorithm
Authors: Tan Lu , Wei Wei Bo , Pan Zhen Kuan , Zhang Wei Zhong , Duan Jin Ming
Published: June 2014

In recent twenty years, image denoising method which is based on partial differential equations (PDE) has been developed rapidly. Due to its scientific and strong theoretical foundation, it owns accurate and stable results which can be got by efficient algorithms. But it still leaves some problems which need to be solved. The staircase effect is one of the most basic problems in the classical TV (Total Variation) model. This problem can be effectively solved by high-order model proposed in this paper. A fast and efficient numerical algorithm is designed to solve minimization problems related to the high-order model and its applications to variational image denoising are shown. The performance of the proposed model is compared with TV model and other high-order models. The algorithm used for the proposed model is also compared with Split Bregman algorithm. Some numerical experiments validate the model proposed and the algorithm designed in this paper.
Identification of Abnormal Furnace Flame Based Image Processing
Authors: Cai Hua Lei , Fang Kang Ling
Published: June 2014

Research using image processing techniques to identify new burning point of industrial tube furnace.First, get the flame image through the design system, and then using the symmetric differencing to obtain each furnace burning point position, and finally the use of Clustering Algorithm to identify the new burning point. Through the experimental simulation show that this algorithm can avoid the complex background interference in the furnace, accurate and effective identify the new burning point.
Hybrid Iterative Approximation Method for a Fixed Point of Nonexpansive Mapping and Equilibrium Problem
Authors: Zhang Huang Xiang , Hao Yan , Hong Ze
Published: June 2014

In this paper, a iterative method for approximating equilibrium problem and a fixed point of nonexpansive mappings was introduced in Hilbert spaces. And a strong convergence theorems of the iteration scheme was established. The results improve and extend the corresponding results of many others.
Introducing Genetic Algorithm as an Intelligent Optimization Technique
Authors: Ashkzari Ali , Azizi Aydin
Published: June 2014

The Genetic Algorithm (GA) is a stochastic global search method that mimics the metaphor of natural biological evolution. GA operates on a population of potential solutions applying the principle of survival of the fittest to produce (hopefully) better and better approximations to a solution. Genetic algorithms are particularly suitable for solving complex optimization problems and for applications that require adaptive problem solving strategies. Here, in this paper genetic algorithm is introduced as an optimization technique.
Analysis of Resistivity Characteristics of Sediments in Northwestern of South Yellow Sea
Authors: Ding Zhong Jun , Liu Bao Hua , Gao Wei , Meng Xiang Mei
Published: June 2014

The resistivity characteristics of sediments are important to analyze marine sedimental environment and material source. A kind of penetration multiple parameter micro-probe which is designed to measure the resistivity of sediment sample in the northwestern of South Yellow Sea. In this paper, shelf sediment resistivity property off northwest of the South Yellow Sea is studied by analyzing the influence factors and relations, for providing valuable information to the marine sedimental environment around this area.
The Research of Algorithm of Optimum Route Calculation in Express Traffic System Based on Time Measure
Authors: Zhang Kai Kuang , Meng Hong Ling , Ba Ming Ting
Published: June 2014

The express traffic system could divide into highway traffic system and ordinary road traffic system, which have different linkage attributes and traffic attributes for segments and nodes. The time consumption space of traveling in the system is a non-Euclidean distance space. From the traffic condition of the express traffic system, the foundation data, principles and methods of NEDS algorithm are introduced. The steps and methods of optimum route planning in the express traffic system are deeply discussed. At the end, an example of optimum route planning in Henan express traffic system is given.
Time-Free Solution for QSAT by Using Timed Tissue P Systems
Authors: Niu Yun Yun , Wang Zhi Gao
Published: June 2014

A timed tissue P system is constructed by adding a time mapping to the rules of tissue P system to specify the execution time for each rule. It is a more realistic model from a biological point of view. In this study, we investigate the computational efficiency of timed tissue P systems. A uniform and time-free solution to QSAT problem, a famous PSPACE-complete problem, is proposed, where the execution time of the computational processes involved can vary arbitrarily and the output produced is always the same.
Product Form Modular Design Based on Genetic Algorithm
Authors: Yang Xi Hui , Zhu Yuan Peng , Wang Jin , Kang Yan
Published: June 2014

After the European and American countries put forward the modular design in the 1950s, and it become a hot topic again in 2013. Modular design make a well experience for product form design, but it also has its limitation. because of Genetic Algorithm (GA) has the superiority of optimizing and solving, This paper proposes a modular, hierarchical product modelling design based on GA, Using iterative repeated optimization genetic operators to make product modeling design to achieve an optimal form.
Deep Boltzmann Machines Aided Design Based on Genetic Algorithms
Authors: Liu Kai , Zhang Li Min , Sun Yong Wei
Published: June 2014

To resolve the problem of no guidance about how to set the values of numerical meta-parameters and difficulty to achieve optimization of Deep Boltzmann Machines, genetic algorithms are used to develop an automatic optimizing method named GA-RBMs (Genetic Algorithm-Restricted Boltzmann Machines) for this model’s aided design. Based on the Restricted Boltzmann Machines’ features and evaluation function, a genetic algorithm is designed and realizes the global search of satisfied structure. We also initialize the network’s weights to determine the number of visible units and hidden units. The experiments were conducted on MNIST digits handwritten datasets. The results proved that this optimization reduced the dimension of visible units and improved the performance of feature extracted by Deep Boltzmann Machines. The network optimized has good generalization performance and meets the demand of Deep Boltzmann Machines’ aided design.
An Effective Community Detection Method Based on Improved Genetic Algorithm
Authors: Wang Lu , Liang Yong Quan , Tian Qi Jia , Yang Jie , Song Chao , Wu Zhuang
Published: June 2014

Detecting community structure from complex networks has triggered considerable attention in several application domains. This paper proposes a new community detection method based on improved genetic algorithm (named CDIGA), which tries to find the best community structure by maximizing the network modularity. String encoding is used to realize genetic representation. Parts of nodes assign their community identifiers to all of their neighbors to ensure the convergence of the algorithm and eliminate unnecessary iterations when initial population is created. Crossover operator and mutation operator are improved too, one-way crossover strategy is introduced to crossover process, the Connect validity of mutation node is ensured in mutation process. We compared it with three other algorithms in computer generated networks and real world networks, Experiment Results show that the improved algorithm is highly effective for discovering community structure.
Ultra-Short-Term Wind Speed and Power Forecast Based on Dynamic Selective Neural Network Ensemble
Authors: Liu Yan Hua , Dong Ze
Published: June 2014

With the scale of grid-connected wind farms increasing, accurate forecast of ultra-short-term wind speed and wind power is very important to the stable operation of power systems. This paper presents a dynamic selective neural network ensemble (DSNNE) forecast method, which makes use of K nearest neighbor algorithm to collect the generalization errors of certain different BP neural networks and RBF neural networks into a performance matrix and then the neural networks with low local generalization errors are dynamically selected and locally dynamic averaging is applied to the neural networks in order to conduct the final results of the ensemble. Then this method is applied to realize the wind speed and power ultra-short-term advance forecast, taking the wind speed and wind turbine power output from a wind farm in China as the original data. The research results show that DSNNE improves the generalization ability of the neural network system and the prediction accuracy of wind power and wind speed significantly. It proves the validity and effectiveness of the DSNNE with controlling the biggest mean relative error of 2 minutes ahead wind power and wind speed forecast as low as 25% and 16% respectively.
Research on How to Apply Statistical Process Control in IT Service Management
Authors: Gao Jing , Han Zhi Dong
Published: June 2014

SPC, Statistical process control, is a method of process control by using statistical science. It uses statistical tools to analyze and control the process, then to ensure the process stability and to improve the process quality and ability. Application of SPC in industry is quite broad and has achieved great success. But its application in IT service management is just beginning. In this paper, author first analyzes the principle of SPC. Then author discusses superiority and implementation steps on how to apply SPC to IT service management. And finally, author uses a specific instance to verify its efficiency. This paper can be used for reference in how to improve IT service management ability by using SPC.
The Analysis of Solar Storms’ Influence on GPS Measurement Errors
Authors: Cao Li Ying , Lan Gui Wen
Published: June 2014

This paper mainly analyzes the effects of solar storms on GPS measurement errors. Solar storms produce a lot of charged particles, which makes the electron density in ionosphere increase, and in further affects the ionosphere delay errors. Ionosphere delay errors are one of the main sources of GPS measurement error, which is a direct impact on measurement precision of GPS. GPS distance errors are caused by ionosphere delay errors. In the case of solar storms, dual frequency observation cannot completely remove ionosphere delay, so in measurement process appropriate methods will be used to reduce errors in GPS measurement, for example, during the observation in the night and increased observation period. By comparing and analyzing the GPS observation data in solar storms and under normal conditions with GAMIT/GLOBK software, a conclusion is made in this paper that observing in the night and the increased observation period can reduce the GPS measurement errors.
Study of Posture Adjustment Strategy for a High-COG Vehicle Climbing a Slope
Authors: Gong Jia Le , Lu Zhi Guo , Li Zi Yang , Tong Yun
Published: June 2014

High-COG (center of gravity) vehicle is usual in our life. High concrete pump truck, aerial ladder truck, crane vehicle, etc. We studied on how these High-COG Vehicles balancing on slope and how they keep balance when moving on a series of continuous changing slopes. We built a simplified model as well as a simulation model to study the how it works. In this article we propose a new balancing system which is real time controlled by the result of the MCU which computing the position of the COG projection of the model. Here we use an inclinometer to get the gesture to the horizontal position of the model and a potentiometer located at the axis of the balancing arm to know the angle between the arm and the surface of the model. At the end of the article, we give some advices of how the system will be used in the Application of Practical Engineering areas.
The Impact of Vertical Deflection on the Ballistic Missiles for Direction and Positioning
Authors: Wang Jian Qiang , Wu Hua Ling
Published: June 2014

The direction and positioning of the missile could be affected by the vertical deflection which is at the launch point, so the impact point errors will increase. Based on the launch coordination, the target point position deviation formula which is caused by vertical deflection is deduced in this paper. The correction precise of the vertical deflection is also a factor of the impact point error. The simulation based on the deviation formula is conducted to analyze the affection of the vertical deflection and the correction precise of the vertical deflection. And the results show that the vertical deflection can lead to 1km error for the long range missile. In addition, if the precision of vertical deflection were improved , the impact point errors will be reduced 85m.
The Performance Study of the Giant Magnetostrictive Actuator
Authors: Meng Qing Jia , Yang Cheng , Wang Xiu Yong , Sun Hong Xin
Published: June 2014

Giant magnetostrictive actuator (GMA) is a new type of vibration control driving device. Since it has a lot of nonlinear, its performance model has been can't descrip good. This paper describes the self-made physical design of GMA, develop the GMA performance research experiment. For different excitation voltage, GMA was studied respectively the dynamic response with or without the bias magnetic field. And according to the application of GMA,verified under the condition of have a bias current, the accuracy of the magnetic coupling force curve of the GMA. According to the results of the validation, its curve can better describe the dynamic performance of giant magnetostrictive actuator.
Design of Remote Control Aircraft Model Based on ARM
Authors: Chen Chui Xin , Mao Yang Hong
Published: June 2014

The system designs wireless remote control airplane model, operatie the keys of the remote controller, after the model aircraft receiving the instruction, and handle through the ARM, control the aircraft forward or backward. While the aircraft are working turn left and turn right and straight line, the system makes a judgment on the ultrasonic feedback information, and then control the aircraft’s direction of movement, and display the corresponding information on LCD. after several debugging and operating, System can work stable and reliable. This model can be widely used in the industry and agriculture and daily life, The model can be used in remote wireless detect, and market prospects.
Direct Navigation Mode and Indirect Navigation Mode for Integrated SINS/GPS
Authors: Li Kai Long , Hu Bai Qing , Gao Jing Dong , Li Yang
Published: June 2014

There are two options for the state estimation procedure by the integration filter for the integrated SINS/GPS, namely: direct navigation mode and indirect navigation mode. Determining which one of the two navigation modes will be more celebrated than the other under different conditions is an important but so far less seriously treated issue. The two navigation modes were systematically studied in terms of the system model, filtering algorithm and application issues. The car-mounted experiments were carried out to compare two navigation modes under different road conditions. The results show that direct navigation mode performs indirect navigation mode in terms of accuracy and stability. However, indirect navigation mode has low calculation burden and simple filter design.
The Calculation Method of Particles Diameter of Three Typical Bulk Materials Based on Experimental Study
Authors: Liu Ze Qin , Li Ge , Bai Ze Yang
Published: June 2014

The diameter and the shape of particle were the important characteristics of solid particle. The purpose of this paper was to observe the shape and to measure the diameter of bulk material particles included ferroferric oxide, silicon dioxide and sodium chloride, and to explore the most suitable calculation method of these bulk material particles. The studied results showed that the calculation formulas of the equivalent diameter of equal volume sphere and the equivalent diameter of equal surface area sphere were both applicable to the particle with micro-shape approximated to spheroid, such as ferroferric oxide particle. And the formula of the equivalent diameter of equal surface area sphere was more applicable to the particle with micro-shape approximated to regular tetrahedron, such as silicon dioxide particle. As for the particle with micro-shape approximated to regular hexahedron, such as sodium chloride particle, the formula of the equivalent diameter of equal volume sphere was more applicable.
Initial Attitude Determination of Aerial Platform Based on MIMU
Authors: Du Xiao Jing , Lan Xiao Yang , Zhai Jun Yi
Published: June 2014

Aiming at the problem of initial attitude determination of aerial platform, a low computational attitude fusion algorithm is proposed based on MIMU. Attitude kinematic equations described by quaternions are developed and the filter structure used in this paper is designed. Real fly test results show that: at different initial deviation, the alignment precision of roll and pitch angles are within 1 °, attitude errors converge to 5 °or less within 12s, which meets the requirements of the aerial platform attitude fast self-determination. The filter algorithm has a small amount of calculation and is easy to be realized.
MEMS IMU and GPS/Beidou Integration Navigation System Using Interval Kalman Filter
Authors: Le Yang , He Xiu Feng , Xiao Ru Ya
Published: June 2014

This paper describes an integrated MEMS IMU and GNSS system for vehicles. The GNSS system is developed to accurately estimate the vehicle azimuth, and the integrated GNSS/IMU provides attitude, position and velocity. This research is aimed at producing a low-cost integrated navigation system for vehicles. Thus, an inexpensive solid-state MEMS IMU is used to smooth the noise and to provide a high bandwidth response. The integration system with uncertain dynamics modeling and uncertain measurement noise is also studied. An interval adaptive Kalman filter is developed for such an uncertain integrated system, since the standard extended Kalman filter (SKF) is no longer applicable, and a method of adaptive factor construction with uncertain parameter is proposed for the nonlinear integrated GNSS/IMU system. The results from the actual GNSS/IMU integrated system indicate that the filtering method proposed is effective.
Weight Fusion Orbit Determination Method with Multi-Source at Injection Stage
Authors: Mao Yong Xing , Mu Jun Shan , Ni Xiao Qiu , Zhong De An , Xiang Jie
Published: June 2014

In this paper, according to the theory of differential orbit improvement, the dynamics equations are deduced for the data of different types, and the weight method is introduced to fuse the multi-source data with different precision and form according to the RMS of condition function associated to different data. The results of simulations and real data processing show that the high precise measure data of different orbit measurement have been brought into full play, and the orbit determination precision is improved obviously.
An Advanced Automatic Remote Meter Detection Method Based on Machine Vision
Authors: Li Han , Liu Shao Jun , Wang Ku , Liu Xia
Published: June 2014

There are a great amount of electronic meters equipped in the distribution substations, which were traditionally monitored by operators. On-site monitoring for risk assessment of these meters is very important. In this paper, we presented an advanced machine vision based automatic meter detection method toward the development of an online automatic meter reading intelligent inspection robot in substation. Firstly, the image received from the inspection robot was enhanced using histogram equalization. Then, the image was segmented into two parts based on the threshold obtained by Otsu’s method. Using these two parts, and the whole enhanced image, circular Hough transformation was applied on these three images and detected the circle with highest probability on them. The normalized correlation coefficients were calculated between the corresponding areas of those three circles from three images and the template image of SF6 meter. Finally, the circle with highest correlation coefficient, which was higher than a certain threshold, was determined to be the meter. If it is lower than the threshold, the algorithm would decide that no meter was found in the image. The method was tested with 222 images obtained in one substation in Xi’an, Shanxi, China, and an 87.4% accuracy was achieved using these images, which indicated the potential of this method.
Design of Wall-Mounted Boiler Remote Monitoring and Control System Based on the Ayla IOT Cloud Platform
Authors: Gong Yong Gang , Zhou Ai De , Xiao Ya Nan
Published: June 2014

Improving the traditional remote monitoring system requires the implementation of a wireless sensor front-end and to develop communication server and client applications. All the relevant control devices must be developed parallel to one another, which likely entails involved developments and difficulty in controlling the development cycle as well as cost. Based on the Ayla IOT (Internet Of Things) cloud platform, this paper proposes a design method of the remote monitoring system for boilers. The Ayla cloud platform provides the standard IOT control services that are idea for this task, for it only allows for the development of crucial elements such as the front controller, client application, Internet-based communication, state synchronization, as well as message driven, SNS release, database storage, and short message gateways. What’s more, these functions do not require separate developments, which greatly reduce the burden of parallel development of within an IOT remote control system. This in turn reduces costs and maintenance. Furthermore, the solution system can also be applied to the wireless control systems of electronic control devices, which should further anticipate its far reaching applications.
RETRACTED: Reinforcement Learning for Cloud Computing Digital Library
Authors: Xu Lin
Published: June 2014

Retracted paper: This paper proposes a new framework of combining reinforcement learning with cloud computing digital library. Unified self-learning algorithms, which includes reinforcement learning, artificial intelligence and etc, have led to many essential advances. Given the current status of highly-available models, analysts urgently desire the deployment of write-ahead logging. In this paper we examine how DNS can be applied to the investigation of superblocks, and introduce the reinforcement learning to improve the quality of current cloud computing digital library. The experimental results show that the method works more efficiency.
A New Cuk Converter with High Step-Down Ratio and its Control
Authors: Hu Jing Wei , Wang Jiu He , Tang Qi
Published: June 2014

A new Cuk converter with high step-down ratio was proposed. The operating principle and operating mode of the new Cuk converter were analyzed in detail and the EL model of the new Cuk converter was established. Based on passivity-based control theory, a passivity-based controller of the new Cuk converter was designed by the method called damping injection. The controller can enable the new Cuk converter achieve good dynamic and static performance and robustness to the load. Compared with Buck converters, the new Cuk converter has a higher step-down capability and a smaller ripple of the input current. Simulation results show that the new Cuk converter is feasible.
A Phase Anti-Ambiguity Method for USBL System
Authors: Zheng Cui E , Sun Da Jun
Published: June 2014

Target localization was generally achieved by range and azimuth measurement for USBL (Ultra-Short Base Line) positioning system, of which the positioning accuracy was restrained by the array aperture. It usually adopted redundant array elements to solve the inconsistence between high precision and phase ambiguity. However, this routine would introduce the additional phase shift calibration problem for the complex and asymmetric array elements, which was not easy to get good results. To solve this problem, an anti-ambiguity method called dual-pulse signal is proposed in this paper to ensure the correct positioning for the improved array formation. Numerical simulations indicate that the proposed method can effectively improve the positioning precision of the USBL positioning system.
Research on Design and Construction Method of Bent Functions
Authors: Meng Guang Xue , Shen Yan Guang , Jiang Tao
Published: June 2014

Bent function is a class of the highest nonlinear Boolean functions. In this paper three methods of design and construction are discussed with examples, which are algebra method, the character function in projective geometry and random researching method. Also, the Bent function of class is implemented with C language. At last, the concatenate construction from m = 2n-k Bent functions of k variables to a Bent function of n variables is given and verified with Walsh spectra.
The Internet of Things Technology Application and the Intelligent Library
Authors: Xu Lin
Published: June 2014

The birth of Internet of Things and the raise of ”Smart Planet” make the intelligent library an inevitable trend of the library development. Intelligentization is the premier step of smartness, and smartness is the evolved stage of Intelligentization. The Internet of Things technology provides the bridge to transform from the intelligentized library to smartened one. The tremendous advantage of Internet of Things definitely brings a broader future to the intelligentization of libraries.