bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Influence of Progressive Plantar Supporters on the Stability in Biped Position
Authors: Braun Barbu Cristian , Rosca Ileana Constanta , Baritz Mihaela Ioana
Published: July 2013

This paper presents a new method to evaluate the progressive plantar supporters on the stability for human subjects; the procedure could be applied as further researches for humanoid robots. The research subject is a male person, 25 years, 65 kg weight, tested on stability in orthostatic position, using a Kistler force plate, when the subject wears plantar supporters with progressive conformation. Stability parameters evolution were followed, in terms of body center of mass (COM) displacement in sagittal and lateral plane, for different phases of progressive plantar supporters while testing. It was found that for medium conformation of supports the subjects stability in bipedal position was the best. The next studies will be focused to establish if the results on plantar base body stability could be valid even for humanoid robots, which must assess different domestic or industrial activities.
Adaptronics - an Intelligent Science Adaptive to Advanced Systemes/Micro-Nanosystems
Authors: Gheorghe Gheorghe Ion , Bratu Vasile , Donţu Octavian G.
Published: July 2013

The newly invented word << ADAPTRONICS >> describes essentially technical and technological fields internationally known as intelligent systems, smart structures and smart materials, smart processes, describes how easy is it to build adaptive systems and structures, with the objective of reduction of material, technological and energy for implementation and operation to an absolute minimum, describes different scenarios for such applications focused on trying to simulate "vital functions", and the ability of biological systems to recognize and automatically correct the dysfunctions of their their structure, characteristic desired in technical systems and structures, particularly in areas where safety is essential (eg aircraft, civil structures, etc.), describes "scientific pillars" of the disciplines involved and important components of future structures and systems etc.
Evaluate the Electromagnetic Radiation Effects on the Facial Tissue
Authors: Ungureanu Loredana , Cristea Luciana , Baritz Mihaela Ioana , Cazangiu Diana , Buzea Daniel
Published: July 2013

The exposure of human tissue at the electromagnetic radiation can lead to the modification of the biological rate of the cell. Taking account the recently researches which indicate the fact that the exposure of the tissue at electromagnetic radiation leads to its heating, in this paper are presented the effects of the electromagnetic radiation produced by the phone cell, on the facial tissue. The main objective of this research is to determine the degree of the facial tissue heating, as an effect of the electromagnetic radiation, as a result of the prolonged phone conversations.
Dynamic Analysis of a Micro-Cantilever Subjected to Harmonic Base Excitation via RVIM
Authors: Daneshmehr Ali Reza , Akbarzadeh Khorshidi Majid , Soltani Delara
Published: July 2013

In this paper, dynamic analysis of a cantilever beam with micro-scale dimensions is presented. The micro-cantilever is subjected to harmonic base excitation and constant force at micro-cantilever tip. By Euler-Bernoulli beam theory assumptions, the mathematical formulation of vibrating micro-cantilever beam is derived using extended Hamilton principle. The governing partial-diffrential equation is solved by reconstruction of variational iteration method (RVIM), with possession of its boundary conditions. The RVIM is an approximate method of solving that answers easy and quick and has high accuracy.
A IR Methods to Evaluate Surface Texture
Authors: Trufasu Aurelian Ovidius
Published: July 2013

This Paper is about IR Technology for Roughness Evaluation of Upper Layer of Mineralglass Lenses, Prisms or Reticules. Based on Simple Observation that Friction Islinked with Higher Temperature, Authors Evaluated the same Optical Surfaces Bytwo Methods: Microscopic and IR Evaluation. Facts are Extremely Encouraging,because Results are Similar; Zones with Higher Level above Average are Warmerand those under Average are Colder.
Electromagnetic Field Exposure from GSM and UMTS Indoor Base Stations
Authors: Nitu Victor
Published: July 2013

Besides the already familiar mobile telephony macro base stations visible in our cities, there are also pico base stations inside many office buildings. This paper investigates the exposure to Electro Magnetic Fields (EMFs) produced by this equipment, in order to verify that the ICNIRP general public reference levels are met.
Object Tracking Using Improved Meanshift Algorithm Combined with Kalman Filter on Independent Visual Robotic Fish
Authors: Shi Hai Hua , Xiang Wei
Published: July 2013

This Paper Investigates an Improved Meanshift Algorithm Combined with Kalman Filter Aiming at Failure of a Target Tracking in Complex Environment for the Independent Visual Robotic Fish. First,we Need to Establish Kalman Filter Model of Moving Target. then,the Prediction and Renewal Process of Kalman Filter are Applied into the Meanshift Tracking Algorithm. Experimental Results Show that Improved Algorithm can Effectively Improve the Performance of Single Target Tracking in Complex Environment, and Realize Continuous Tracking of a Target. also, it can Obtain more Reliable Tracking Effect, and can be Used for more Complicated Scenes.
Moving Object Detection for Video Based on Image Blocking and Improved Particle Filter
Authors: Liu Li Xin , Zhang Xiao Xue , Meng Li Li , Zhang Ming
Published: July 2013

In this paper, a moving object detection method based on image blocking and improved Particle Filter is proposed. Firstly, each frame in a video is partitioned into blocks and a low-dimensional descriptor is extracted for each block; Secondly, each block is sequentially passed through two classifiers, improved Particle Filter and temporal correlation check. Finally, foreground object is detected by integrating the classification results of all blocks. We use two-stage classifier to effectively minimize the number of false positive in the detected foreground object. Experiments show that the method proposed in this paper is feasible both in qualitative and quantitative analysis so it can be used in moving object detection effectively.
Digital Watermarking of High Security Based on Holography
Authors: Han Chao , Li Meng Meng , Wu Wei
Published: July 2013

Aiming at the problem that security of digital watermarking is imperfect, a new digital watermarking algorithm based on holography is put forward. In embedment watermarking stage, first, original watermarking information is divided into two parts: amplitude and phase information. Then, a hologram which will be used as new watermarking information is generated by interference of the phase information light and the reference beam, and the amplitude information will be the key when original watermarking is extracted. At last, host image is transformed by the multilevel structures wavelet transform, and the new watermarking information is embedded into its suitable wavelet domain. In extraction watermarking information stage, the original watermarking information is obtained by the extracted watermarking information combined with the amplitude information. The theory and simulation show our algorithm has excellent performance in security, shear resistance and anti interference of white noise.
Improved Watershed Algorithm Based on Morphology and Distance Transform
Authors: He Peng , Fang Kang Ling , Liu Xin Hai
Published: July 2013

In this paper we proposed an improved watershed algorithm for the quasi-circle overlapping images of the bars end face. According to the classical watershed algorithm, which often causes over-segmentation, the improved algorithm does a series of pretreatment with the original image, such as sobel filter. With the gradient operator and mathematical morphology method, we firstly obtain the smooth image of the forced local maximum marks. Then, on the basis of the quasi-circle characteristic of the target image, we proceed to maximize the erosion with circular structure in order to prevent under-segmentation. Finally, we use the watershed algorithm to segment the gray image based on distance transform. So we can separate the target from each other to achieve the accurate counting purpose. By using the proposed algorithm in the article, we obtain satisfactory segmentation results of the quasi-circle overlapping image of the bars end face image.
New Research Progress in Image Retrieval
Authors: Hui Fan , Jie Guo , Li Jin Jiang
Published: July 2013

Image retrieval is generally divided into two categories: one is text-based Image Retrieval; another is content-based Image Retrieval. Early image retrieval technology is mainly based on the text, after 90 years, the content-based image retrieval emerged. So far, we mainly use image retrieval technology that based on color, texture, layout analysis and retrieval. That is: content-based Image Retrieval (CBIR). This paper review the two kinds of image retrieval methods, and introduces a variety of techniques in content-based image retrieval, we also prospect of fusion research of text and content.
Determination of Stroke Order Relation in Chinese Character Writing by Robot NAO with Thinning Algorithm Based on Corner Detection and Depth Searching
Authors: Dodi Arisandi Effendi , Qin Shi Yin
Published: July 2013

There are a set of basic rules for stroke order in the traditional handwriting of Chinese characters, which may be listed as from left to right, from top to bottom, first inside then outside, and so on. Humanoid robot NAO is very famous in the world now, which has many sensors such as two cameras, infrared, IMU, bumper sensors and so forth. In this paper we explore how the humanoid robot NAO can write a Chinese character according to the traditional stroke order rules. As a matter of fact, the stroke order relation between any two strokes is very important in the whole stroke orders in order to lead a well writing. Therefore, the thinning algorithm is employed to propose an effective and useful method to determine the stroke order relation between any two strokes for Chinese character writing by robot NAO based on corner detection and depth-searching. Then the implementing algorithm is given for the determination of stroke order relation, and a series of experiments are carried out to validate its feasibility and effectiveness, the accuracy can achieve 90% so as to be a very satisfied result in the current stage.
Palm Vein Recognition Based on Independent Component Analysis
Authors: Wu Wei
Published: July 2013

Palm vein pattern recognition is one of the newest biometric techniques researched today. This paper proposes project the palm vein image matrix based on independent component analysis directly, then calculates the Euclidean distance of the projection matrix, seeks the nearest distance for classification. The experiment has been done in a self-build palm vein database. Experimental results show that the algorithm of independent component analysis is suitable for palm vein recognition and the recognition performance is practical.
An Improved Color Transfer Algorithm for TangKa Image Inpainting
Authors: Liu Xiao Jing , Huo Qing Song
Published: July 2013

The ancient Tangka image with reflecting Tibet art has been broken by the nature and human with different degrees. The part-shed Tangka image is researched as a type of special breaking. After discussing color transfer algorithm and the existing problems, we improve the algorithm. The experiments show that the improved method can do well in inpainting the shedding and scratch of damaged TangKa image color.
Image Complexity Analysis Based on HVS and Its Application in Steganography
Authors: Li Jun , Yang Xiao Yuan
Published: July 2013

With human eyes has different insensitive to different types of texture, edged and dark area, this paper proposed an image steganography with higher embedding capacity and good stego image quality. In our method, the image blocks was divided into four kinds (texture, edged, dark and smooth), and secret message was embedded with the algorithm of modulus function coincide with wavelet transform. From the experimental results, the complexity notion can distinguish different kinds of blocks precisely, and the steganography method can hide much larger message and maintain a good visual quality of stego image.
3-D Video Enhancemnt Based on Histogram Equalization and Edge Sharpening
Authors: Qiu Yi Min , Chen Shi Hong , Zhou Yi , Wang Ying
Published: July 2013

With the development of stereo vision, much more attention has paid from two-dimensional to three-dimensional (3-D) spaces, research on 3-D image/video becomes an inevitable trend presently. We present a novel research field that focused on the enhancement of 3-D videos, using two different 3-D videos and enhancing them with histogram equalization and edge sharpening algorithms. And we utilize the subjective assessment in the experiments. The experimental results show that the edge sharpening method has better effect than the histogram equalization method in 3-D video mode. But we also find some problems that both methods have blurred edges.
Fusion Method of Infrared and Visible Images Based on Wavelet Packet Transform
Authors: Su Hai Tao , Wang Zhan Feng , Hu Zhi Yi , Chen Hong Shu , Wang Jie Liang
Published: July 2013

The multi-sensor image fusion is the effective practices to increase the image information, highlight the detection superiority, reduce fuzzy understanding and to reduce data redundancy. Image fusion based on wavelet transform, the image wavelet decomposition processing only exists in the low-frequency, when the image contains high-frequency information, such as a large number of small edge or texture, which can not extract the feature information of the image, so resulting in the fusion is ineffective. In response to these problems, the use of image fusion algorithm based on wavelet packet transform, continue to break down, while the low-frequency further decomposition of the high-frequency of the image, extracts image feature information more effectively. In the same conditions of wavelet function, decomposition level, the fusion policy, comparative analysis has been researched on wavelet transform and wavelet packet transform on the same parameters of the information entropy, average gradient, standard deviation, spatial frequency, the results show that, image fusion of the algorithm based on wavelet packet transform are the highest and the better. In the other hand, in order to investigate the fusion effectiveness of the decomposition level on the same wavelet function conditions, fusion image parameters, such as entropy, average gradient, standard deviation, and spatial frequency, have been calculated using the db3 wavelet function corresponding to the decomposition level 1-5. The results show that the fusion effectiveness should achieve the best with wavelet decomposition level of 3 or 2.
Human Motion Analysis Based On Silhouette and Centroid Displacement
Authors: Ye Qing , Dong Jun Feng , Zhang Yong Mei
Published: July 2013

Human motion analysis in an intelligence surveillance system is a hot research topic in computer vision field.In this paper we proposed a motion recognition method based on silhouette information and centroid displacement for static environment.We used background subtraction method added background update and did binarization processing on foreground image by using adaptive threshold segmentation technique,then extracted moving target from the videos.Last we used silhouette information and centroid displacement as human motion features for behaviour analysis.Experiments show that the method has high accuracy rate at daily behaviour recognition.
Segmentation of Kidneys from Computed Tomography Using 3D Fast GrowCut Algorithm
Authors: Dai Gao Yuan , Li Zhi Cheng , Gu Jia , Wang Lei , Li Xing Min , Xie Yao Qin
Published: July 2013

This paper proposes a fast GrowCut (FGC) algorithm and applies the new algorithm in three-dimensional (3D)kidney segmentation from computed tomography (CT) volume data. Users could mark the object of interest with different labels in CT slices.FGC propagates the labels using monotonically decreasing function and color features to derive an optimal cut for a given data in space. The color features play a great role in comparing with neighborhood cells. The experimental results clearly demonstrate the superiority of FGC in accuracy and speed.
Land Utilization and Classification Based on Remote Sensing Image Analysis Expert System Technology
Authors: Sun Tong He , Bai Zhi Guo
Published: July 2013

This paper discusses land utilization and classification based on remote sensing image analysis expert system technology. Taking the bureau department area remote sensing images as the basic information, and using MAPGIS and Ecognition software, we carry on the classification of the land. The results show that remote sensing image analysis expert system technology applies to land utilization situation and land classification, which has reference value.
Combined Use of Spectral and Spatial Features for Building Extraction in Multi-Spectral Imagery
Authors: Gou Zhi Yang , Fan Sheng Hong , Li Cong , Liu Chang Ru , Wang Meng , Jiang Lai Wei
Published: July 2013

As essential character of urban region, building extraction and recognition has been applied broadly in urban mapping, urban planning and population census. Traditional manual plotting is time consuming and expensive, which therefore challenges for automatic or semi-automatic solutions. High-resolution multi-spectral remote sensing imagery provides both spectral and spatial information for acquiring urban features to update geographic information database. An advanced algorithm based on the combined use of spectral and spatial features will be developed and employed to recognize and extract buildings from multi-spectral imagery in this paper. Firstly, the imagery is spatially filtered to achieve more homogeneous regions. With the spectral and spatial features, an automatic and iterative region growing algorithm is employed to segment the imagery. A feature vector is developed to recognize the buildings from the final segmentation result. The result shows that this method can extract 69.8% of the buildings in the tested imagery.
Dynamic Characteristics Test of a Bearing Micro Workbench Used for Fiber Measurement
Authors: Chen Yan Xiang , Li Yu He , Qiu Yong Rong , Guan Kai Sen , Zhao Da Peng
Published: July 2013

Dynamic characteristics of a bearing micro workbench are very important in the optical fiber measurement. A quantitative analysis method used for measuring the modal frequency and damping rate of the micro workbench is studied. A parameter identification method based on modal analysis is proposed. On the basis of it, a test system used for measuring the micro workbench impulse response is put up. By making use of the impulse excitation that is generated by the instantaneous change of the surface airflow, the micro bench impulse response curve is obtained. In order to improve the signal-to-noise ratio, a series of methods are utilized, such as precise trigger sampling and superposed average of multi-period data. Experimental results show that the micro workbench has a high modal frequency and a suitable damping rate, which meets the needs of the fiber measurement.
Image Definition Identification Algorithm Based on Lifting Wavelet Transform and Naive Bayes Classifier
Authors: Qi Ling , Zhao Yong Li , Gao Ling Nan , Wang Wei
Published: July 2013

Identification of definition for digital image is an important aspect of digital imaging system. To improve the efficiency of the present image definition identification methods with a high accuracy, an algorithm based on the compound model of Lifting Wavelet Transform and Naive Bayes classifier is proposed. Firstly, the two-dimensional Lifting Wavelet Transform is used to extract the image feature, and 28 statistical values obtained from 7 wavelet components by statistical process are treated as image eigenvalues for the follow-up identification. Then Naive Bayes classifier is used to achieve the identification, which has a high computational efficiency and competitive accuracy, and the classifier applied to the experiments of this paper is from OpenCV. The experiment consists of two phases. In phase one, the compound model is trained by 200 images from the training set. Similarly, in phase two, the model is tested by 100 images from the testing set. The results show that the algorithm based on the compound model is very effective, and obtains a high recognition rate.
Association Analysis of NDVI Changes and Topographic Factors
Authors: Liu De Li , Zhang Ya Shuang , Lin Nan
Published: July 2013

Based on the TM remote sensing data of the Huadian city in 1991 and 2011 and based on the DEM data,using the normalized difference vegetation index (NDVI) change classification method,to Extraction the elevation,slope,slope direction data and the vegetation index data of the study area.Then using the spatial analysis function of GIS software to overlay the two different period NDVI data and analysis the NDVI change of area and spatial. Using the same method to overlay and analysis the relationship of NDVI data and elevation,slope,slope direction.Research shows that the variation of NDVI in the study area has relationship with the topographic factors change.
Survey on Image Shadow Detection and Removal
Authors: Hua Zhen , Guo Xiao Qing , Li Jin Jiang
Published: July 2013

Shadows will exist in Many images which will affect many computer vision problems processing, such as image segmentation, image matching. This paper reviewed the recent research and methods about the image shadow detection and removal, and introduced each methods advantages and disadvantages in the shadow of treatment, so that two or more than two kinds of methods can we combine to the image shadow processing and obtain satisfactory results which is also the image shadow detection and eliminate development trend currently.
Measuring the Equivalent Series Resistance of the Low Impedance Electrolytic Capacitors in Pulsed Current State
Authors: Wang Xu Fei , Xie Kai , Li Teng , Li Zhong Qun , Guo Rong Bin
Published: July 2013

A cost-effective method for quickly evaluating the equivalent series resistance (ESR) of electrolytic capacitors is proposed. This approach has the ability to measure the low ESR of milliohms level, meanwhile provide the pulsed testing current up to hundreds of amperes. Therefore, this method is suitable for fast inspecting the quality of bulk capacitors. The operational principle, circuit implementation and the calibration method are presented, and the performances of the prototype are tested, which validate the proposed scheme.
Research on Method for Massive Pixel-Level Remote Sensing Image Processing Based on Hadoop
Authors: Wang Xiao Yu , Li Guo Qing , Yu Wen Yang , Zou Quan
Published: July 2013

Recently, global change research has reflected the great challenge of massive distributed remote sensing image processing. Faced with such challenge, massive pixel-level remote sensing image processing reconstruction based on Hadoop is proposed, which focuses on the support of data format and the design of paralle computing. In order to support a variety of formats of remote sensing images and simplify the process of data parse, the processing flow transforms the remote sensing image into image information in binary format, as well as metadata information in xml format. Compared with converting to text format, there are two advantages for this conversion, reducing the amount of data after converted and remaining metadata information. To avoid MapReduce parallel computing performance interference caused by the algorithmic complexity, remote sensing image point operation is selected to do research about the design of parallel computing. The experimental results show that the proposed method has good scalability in the distributed Hadoop environment, along with the changing of the data quantity.
Research on SVM Wind Power Prediction Based on Heuristic Algorithm
Authors: Wang Jing , Zhang Yu , Xia Kun , Wang Qiang Qiang
Published: July 2013

With the disadvantages of volatility, intermittent and randomness of wind power, a research on constructing a fairly accurate prediction model is imperative to improve the quality of power system. Considering the optimization ability of heuristic algorithm and the regression ability of support vector machine, a HA-SVM model is constructed.Case study shows that, compared with other heuristic algorithms, the search efficiency and speed of differential evolution are good, and the prediction accuracy of the model is high.
Research on Recommended Pattern of Electric Nursing-Bed Movement Control
Authors: Zhong Ying Chun , Huang Guo Chen , Lin Rui Sheng , Li Fang
Published: July 2013

Aim to the weak intelligence and humanity of current electric nursing-bed control modes, the recommended movement control mode is proposed, which is based on the existing manual, timing and speech control pattern. First, on the basis of accumulating some control data, the Affinity Propagation algorithm (AP algorithm) is employed to cluster in order to acquire the clustering centers, which reflect the prefer movement and corresponding value at special time of the special user. Then, according to the mechanical and electric constraints, some rules are established to adjust the clustering centers. And the nursing-bed movement sequence is obtained, which is logical. Finally, the rationality of the recommended movement sequence is analyzed according to the distribution characteristic of the dataset. The movement sequence that passes the rationality analysis will be recommended to the user and automatically saved as the recommended pattern. The experimental results show that the recommended movement sequence can basically reflect the users habits, which is more intelligent and human than other control modes.
An Efficient Weighted Association Rules Mining Algorithm
Authors: Peng Na Xin
Published: July 2013

Aiming at the problem that most of weighted association rules algorithm have not the anti-monotonicity, this paper presents a weighted support-confidence framework which supports anti-monotonicity. On this basis, Boolean weighted association rules algorithm and weighted fuzzy association rules algorithm are presented, which use pruning strategy of Apriori algorithm so as to improve the efficiency of frequent itemsets generated. Experimental results show that both algorithms have good performance.
Conflict Resolution Based on Cooperative Coevolutionary with Dynamic Grouping Strategy for Multi-Aircraft
Authors: Liu En Yu , Guan Xiang Min , Zhang Xue Jun , Zeng Jie
Published: July 2013

Conflict resolution problem (CRP) plays a crucial role in the guarantee of safety. This paper formulates CRP as a multi-agent path planning problem which aims to find optimal paths for aircrafts. An algorithm named CCDG is proposed to tackle it based on cooperative coevolutionary (CC) with a dynamic grouping strategy for aircraft. CCDG makes aircraft divided into several equal sub-groups according to the dynamic grouping strategy. Each sub-group can adopt an evolutionary algorithm (EA) to optimize the aircrafts paths fully distributed and in parallel. Optimal solution is obtained through cooperation and coordination with all sub-populations. Empirical studies using extremely scenario adopted by previous research show that CCDG outperformed the existing approach (the fast GA), and the popular path planner that each aircraft uses an EA. Moreover, CCDG succeed to improve the airspace safety and reduce cost for CR.
Research on Evaluation for Comprehensive Performance of Electric Power Listed Companies Based on Grey Relational Analysis Method
Authors: Li Mu , Wang Jia Jie , Qiao Wen , Zheng Hao Tian
Published: July 2013

The evaluation for comprehensive performance of electric power listed companies generally exist some subjectivity and one-sidedness unavoidably. On the basis of the characteristics of complexity and the uncertainty of optimal evaluation on comprehensive performance of electric power listed companies, grey relational analysis model in evaluation on comprehensive performance of electric power listed companies has been put forward in this paper. Application model and procedures of the grey relational analysis method are introduced. According to the degree how close it is with the ideal dot, the optimal evaluation result is easy to be obtained. This method is convenient, quantitative, and strict. It provided a new method and a possible new way for evaluation of comprehensive performance of electric power listed companies.
Balanced Orthogonal Multiwavelets with Symmetric/Antisymmetric Filter Banks
Authors: Zou Qing Yun , Cao Qian
Published: July 2013

A class of the balanced orthogonal multiwavelets was constructed by defining a specific matrix filter structure, in which the multifilter banks of multiwavelets have had the desired symmetry. The multifilter banks have possessed symmetric/antisymmetric, which resembled the filters of scalar wavelet and have in favor of application, notwithstanding the multiwavelets constructed in this paper lose the linear phase, they have formed a new type of multiwavelets undoubtedly.
Research of Single well Production Prediction Based on Improved Extreme Learning Machine
Authors: Na Wen Bo , Su Zhi Wei , Ji Yun Feng
Published: July 2013

In order to improve the precision of oilfield single well production prediction, a single well production prediction model based on improved extreme learning machine (RWELM) is proposed. Substituting wavelet function for common activation function, structural risk minimization principle is integrated into the model in order to avoid the local minimum and over-fitting problem commonly faced by traditional extreme learning machine (ELM) in single well production forecasting. Dynamic data of an oil well production is simulated of Lun Nan oilfield. Experimental results show that the forecasting model is better than ELM, LM-BP neural networks, BP network with delay time sequence in both generalization performance and predictive accuracy.
A Geo-Acoustic Model Based on Empirical Formula
Authors: Cao Zhong Yi , Yong Jun
Published: July 2013

The paper presented a practical geo-acoustic model based on empirical formula. On the base of Hamilton geo-acoustic model, we divided seabed into two layers with semi-infinite space: settled layer and base layer. In the settled layer, velocity of longitudinal wave, density and attenuation coefficient changed with depth of the settled layer changing. This paper assumed that the settled layer had more important impact on the sound field than the base layer. Numerical calculation results show that the effective depth of the seabed is about one wavelength. The geo-acoustic model based on the empirical formula can reduce the uncertainty of sound field calculation, and provide a good way for geo-acoustic inversion.
The Research of Improved Apriori Algorithm Application in Distance Education Platform
Authors: Wang Xin , Wang Jian Wei , Hei Long
Published: July 2013

This paper points out the bottleneck of classical Apriori algorithm, presents an improved association rule mining algorithm based on Apriori algorithm.The new algorithm is based on pruing away the itemsets whose support degree is less than minsupport to reduce the number of itemsets in the transaction database. At the same time the new algorithm change the candidate_gen function to generate a continuous access page. According to the running result of the algorithm, the processing time of mining is decreased and the efficiency of algorithm has improved.Whats more, the new algorithm can find the learners frequent traversal path to improve the intelligence of the distance education platform. Keywords: Associaion Rules;Apriori Algorithm; Frequent Traversal Path;Distance Education Platform
Real-Time Cooperative Trajectory Planning Using Differential Flatness Approach and B-Splines
Authors: Gu Xue Qiang , Zhang Yu , Chen Jing , Shen Lin Cheng
Published: July 2013

This paper proposed a cooperative receding horizon optimal control framework, based on differential flatness and B-splines, which was used to solve the real-time cooperative trajectory planning for multi-UCAV performing cooperative air-to-ground target attack missions. The planning problem was formulated as a cooperative receding horizon optimal control problem (CRHC-OCP), and then the differential flatness and B-splines were introduced to lower the dimension of the planning space and parameterize the spatial trajectories. Moreover, for the dynamic and uncertainty of the battlefield environment, the cooperative receding horizon control was introduced. Finally, the proposed approach is demonstrated, and the results show that this approach is feasible and effective.
Algorithm Development and Computer Simulation of Position Order Decoding of Mastermind Board Game
Authors: Hubalovsky Stepan , Šedivý Josef
Published: July 2013

Mastermind is code-breaking board game whose principle is to find as fast as possible the guess pattern of code pegs in color and position based on feedback realized by key pegs. The game is targeted at development of logical thinking. The process of the decoding can be realized also using computer. Mathematical analysis, strategy solution, algorithm development of solution and computer simulation program in MS Excel of decoding of the position order of already found and disordered colored pegs are shown in the paper.
Multi-Objective Particle Swarm Optimization for Control Laws Design
Authors: Liu Xiao Xiong , Xu Heng , Wu Yan , Li Peng Hui
Published: July 2013

In order to overcome the difficult of large amount of calculation and to satisfy multiple design indicators in the design of control laws, an improved multi-objective particle swarm optimization (PSO) algorithm was used to design control laws of aircraft. Firstly, the hybrid concepts of genetic algorithm were introduced to particle swarm optimization (PSO) algorithm to improve the algorithm. Then based on aircraft flying quality the reference models were built, and then the tracking error, settling time and overshoot were used as the optimization goal of the control laws design. Based on this multi-objective optimize problem the attitude hold control laws were designed. The simulation results show the effectiveness of the algorithm.
Dynamic Neighborhood Particle Swarm Optimization Based on External Archive
Authors: Dong Shu Xia , Tang Liang
Published: July 2013

According to the defect of falling into a local optimum when dealing with multimodal problems with basic particle swarm optimization, a dynamic neighborhood particle swarm optimization with external archive (EA-DPSO) is proposed. The Ring topology, All topology and Von Neumann topology are adopted, and dynamically refining particle history optimal position, and then store them on the external archive. In terms of particles characteristics in the external archive, a kind of effective extract mechanism method is designed to choose learning sample. Three peak problems as simulation function are chosen and the results show that EA-DPSO can effectively jump out of local optimal solution. Therefore, it can be seen as an effective algorithm for solving multimodal problems.
Training Back-Propagation Neural Network for Target Localization Using Improved Particle Swarm Optimization
Authors: Yao Jin Jie , Ju Xiang , Wang Li Ming , Pan Jin Xiao , Han Yan
Published: July 2013

Target localization technology has been intensively studied and broadly applied in many fields. This paper presents one improved particle swarm optimization technique in training a back-propagation neural network for position estimation in target localization. The proposed scheme combines particle swarm optimization (PSO), back-propagation neural network (BP), adaptive inertia weight and hybrid mutation, called IPSO-BP. To verify the proposed IPSO-BP approach, comparisons between the PSO-based BP approach (PSO-BP) and general back-propagation neural network (BP) are made. The computational results show that the proposed IPSO-BP approach exhibits much better performance in the training process and better prediction ability in the validation process than those using the other two base line approaches.
Cloud Particle Swarm Optimization for Vehicle Routing Problem
Authors: Tian Bin , Wang Yan Yan
Published: July 2013

Vehicle routing problem (VRP) is a kind of NP combination problem. In order to overcome PSOs premature convergence, a Cloud Particle Swarm Optimization (CPSO) is put forward, it uses the randomicity and stable tendentiousness characteristics of cloud model, adopts different inertia weight generating methods in different groups, the searching ability of the algorithm in local and overall situation is balanced effectively. In the paper, the algorithm is used to solve VRP, a kind of new particles coding method is established and the solution algorithm is developed. The simulation results prove that the algorithm has more search speed and stronger optimization ability than GA and the PSO algorithm.
Iterative Methods for Strictly Pseudo-Contractive Mappings
Authors: Liu Yang , Hao Yan
Published: July 2013

The aim of this work is to consider an iterative method for a-strict pseudo-contractions. Strong convergence theorems are established in a real 2-uniformly smooth Banach space.
A Modified Fuzzy C-Mean Algorithm for Automatic Clustering Number
Authors: Huang Cheng Quan
Published: July 2013

FCM(Fuzzy C-Means) algorithm is an important algorithm in cluster analysis. It plays an significant role in theory and practice. However, the clustering number of FCM algorithm needs to be set beforehand. This paper proposes an automatic clustering number determination for the classical FCM(Fuzzy C-Means) algorithm. The proposed automatic clustering number determination is based on the cardinality of clustering fuzzy membership used in the CA(Competitive Agglomeration) algorithm. The effectiveness of the proposed algorithm, along with a comparison with CA algorithm, has been showed both qualitatively and quantitatively on a set of real-life datasets.
Research of Oilfield Production Forecast Based on Least Squares Fitting and Improved BP Neural Network
Authors: Na Wen Bo , Su Zhi Wei , Zhang Ping
Published: July 2013

A new method which is least squares fitting combined with improved BP neural network based on LM algorithm was put forward. In order to overcome the weak points that easy to fall into local minimum, slow convergence of traditional BP neural network, we use LM algorithm to improve it. Least-squares curve fitting can be used to reflect the overall trend of the data changes, so we adopted least squares method firstly to make curve fitting for sample data firstly. Then, we corrected the fitting error by the improved BP Neural Network which has the advantages that reflecting external factors. Finally, the fitted values and error correction values were added to get oilfield production forecast. The results show that the oilfield production forecast error is significantly lower than the single curve fitting, BP Neural Network or LMBP.
Parabola Error Evaluation Using Geometry Ergodic Searching Algorithm
Authors: Wang Hai Yang , Lei Xian Qing , Cui Jing Wei
Published: July 2013

A method of parabola error evaluation using Geometry Ergodic Searching Algorithm (GESA) was proposed according to geometric features and fitting characteristics of parabola error. First , the feature points of least-squared parabola are set as reference feature points to layout a group of auxiliary feature grid points. After that, a series of auxiliary parabolas as assumed ideal parabolas are reversed with the auxiliary feature points.The range distance from given points to these assumptions ideal parabolas are calculated successively.The minimum one is parabola profile error.The process of GESA was detailed discribed including the algorithm formula and contrastive results in this paper.Simulation experiment results show that the geometry ergodic searching algorithm is more accurate than the least-square method. The parabola profile error can be evaluated steadily and precisely with this algorithm based on the minimum zone.
Application of Hydrostatic Leveling System in Metro Monitoring for Construction Deep Excavation above Shield Tunnel
Authors: Yin Zhi Zheng
Published: July 2013

The monitoring of the settlement of the shield tunnel plays a very important role in the traffic safety of metro trains. The monitor precision and the timely are required for the settlement of the shield tunnel. The automated monitoring must be introduced to the monitoring work, and becomes powerful monitoring method. The article introduced the measurement principle of the hydrostatic leveling system (HLS), through the hydrostatic leveling system preliminary utilized in metro monitoring for construction deep excavation above shield tunnel. The monitoring data and the construction safety are analyzed. Regularities of settlement of the shield tunnel are summarized. Suggestion is made on the monitoring range.
Research on the Application of Weighted Grey Relational Analysis on the Failure Diagnosis of Complicated Electronic Equipment
Authors: Zhao Hong Yan , Zhang Jun , Hu Guo Ping , Zhang Jian Qiang
Published: July 2013

Based on weighted grey relational analysis, a new failure diagnosis method for complicated electronic equipments is proposed. First, according to the typical failure samples and weight values to construct grey reference sequence. Secondly, calculating the individual relational coefficient and grade to form grey relational grade sequence. Finally, according to the maximal grey relational grade to choose the corresponding failure mode as the finally diagnosis result. The results of analyses show that the proposed method has higher diagnosis accuracy and reliability than the traditional grey relational method.
Design and Implementation of an On-Board Automatic Test System Based on CPCI Bus for Aerial Fire Control Equipment
Authors: Wu Ji Lin , Zou Wei Hua , Qi Le
Published: July 2013

An on-board automatic test system (ATS) based on CPCI bus was designed utilizing the application of computer, virtual instrument and database technology. In this paper, the test system architecture was introduced, the hardware structure explained and the software implementation expounded. Application of the prototype system on aerial fire control equipment for a series of fighters proved that proposed system is more powerful in functions, better in user interface and more convenient in operation compared with the traditional automatic test system.
The Defect Identification of LED Chips Based on Bayesian Classifier
Authors: Shi Wei , Pei Yao Wu , Sun Liang , Wang Jian Guo , Ren Shao Qing
Published: July 2013

The types, causes and image properties of the defective and damaged chips are been analyzes. On the basis of analyzing the image properties, Bayesian classifier and identification method are proposed. Based on the Bayesian decision theory, five kinds of image features such as the number of light spot, dark spot, edge spot, block and area are applied. Normal distribution is made use to building classifier and studying the correction strategy of model. In the process of identification, dynamical correction and model parameters completion make the classifier have some degree of self-learning feature and higher identification accuracy. Keywords: defect; feature; classifier; decision
The Development of a Realtime Remote Monitoring System for the Subsidence of Building
Authors: Yu Wen , Yu Jie
Published: July 2013

A system, which is real-time, remote, automatic for monitoring the subsidence of building, is introduced. Hydrostatic leveling, displacement sense by electromagnetism, computer technology are integrated into the system. The system can realize real-time, continuous acquisition and management of the measured data, and when the quantity and speed of the subsidence exceed the certain warning value,the system can realize automatic early-warning. Compared with geometrical leveling, the system has advantages of high accuracy, real time, continuous, unattended, remote, wireless for monitoring and early-warning.
Study on PPP-BOTDA Technology for Concrete Crack Monitoring
Authors: Zhang Hao
Published: July 2013

Experiment for bare fiber and two kinds of commercial fiber had been done using PPP-BOTDA technology in the paper, and the testing results are analyzed. Experimental results show that different types of fiber have different critical effective sensing length. Despite possessing the 10cm order spatial resolution, if the sensing length of fiber is shorter than the critical value, PPP-BOTDA can not get correct strain. Basing on this experiment result, the concrete crack is simulated and tested. The point fixation bonding method overall bonding method is used in the experiment. The result shows that PPP-BOTDA technology can detect the existence and propagation of crack, and which can even test the width of the crack.
A Binary Phase only Pupil Masks for Extending the Depth of Field of a Microscopy
Authors: Wang Xin Yi , Xu Zhong Bao , Shuang Zou
Published: July 2013

A binary phase only pupil mask with phase rings is placed on the plane of the aperture to modulate the wave front of the traditional microscopic imaging system, the modulation transfer function curves, obtained by the annular ring aperture applied to the pupil of the imaging system, do not change much within the required depth of field range, therefore, the loss of systems imaging information is avoided,meanwhile the depth of the field is enlarged. The Zemax simulated result shows that it is able to make the depth of field of microscopic imaging system extend 10 times to adopt this method.
Analysis of PM Inter-Turn Fault Based on LabVIEW and FFT
Authors: Liang Yong Chun
Published: July 2013

Inter-turn fault is the most probably fault in permanent motor. It is important to find the inter-turn fault and protect the permanent motor. Stator windings current is used to evaluate the inter-turn fault. A small resistance is connected with the permanent motor. The stator windings current is transferred to voltage and this signal is send to data acquisition system and transferred to digital signal. LabVIEW is used to control the data acquisition system and receive the digital signal. FFT is used to analyze the frequency character of the stator windings current and find the character of the inter-turn fault. Test shows that the permanent experimental system consisting of computer and LabVIEW can fully meet the requirements of permanent fault test and research.
Anti-Collision Algorithm Based on RFID Aquatic Shelf Life Monitoring System
Authors: Zhai Qian , Chen Ming
Published: July 2013

Tag collision is one of the key issues of the RFID system,it increases the energy consumption and slot overheads of passive tags.After giving a brief analysis of the existing anti-collision algorithms,a novel anti-collision algorithm based on the characteristics of a continuous distribution serial number of RFID aquatic shelf life monitoring system was proposed,The algorithm firstly uses the collision information to generate two initial serial number,then identifies all tags via minus 1 and add 1 of the initial tag serial number.Simulation results show that the proposed algorithm has a faster identification speed and less tag transmission bits.