bluuebunny/crossref_metadata_2025 huggingface dataset:
Detection of Violent Video with Audio-Visual Features Based on MPEG-7
Authors: Peng Yu Qing , Liu Wei , Zhao Cui Cui , Li Tie Jun
Published: September 2013

In order to solve the problem that there isn’t an effective way to detect the violent video in the network, a new method using MPEG-7 audio and visual features to detect violent video was put forward. In feature extraction, the new method targeted chosen the features about audio, color, space, time, motion. Parts of MPEG-7 descriptors were added and improved: instantaneous feature of audio was added, motion intensity descriptor was customized, and a new method to extract dominant color of video was proposed. BP neural network optimized by GA was used to fuse the features. Experiment shows that these selected features are representative, discriminative and can reduce the data redundancy. Fusion model of neural network is more robust. And the method of fusing audio and visual features improves the recall and precision of video detecting.
A Star Map Recognition Method Based on Multi-Layers SOFM Network
Authors: He Ai Xiang , Wang Chen Chen , Zhang Hai Ning
Published: September 2013

Putting forward a kind of star identification algorithm based on SOFM neural network. Firstly, using dynamic threshold selection algorithm what is based on supporting vector machine select guide stars to composite the navigation star database, then a recognition system what contain multiple parallel SOFM subnets for star map recognition is designed. Simulated recognition results show that the SOFM network can extract complex feature recognition navigation star from the chart. Compared with the traditional triangle algorithm, this algorithm has better recognition accuracy, robustness and real-time.
Collaborative Filtering Algorithm Based on User Clustering
Authors: Deng Zhao , Wang Jin
Published: September 2013

To overcome the uncertainty of the users neighborhoods in the recommendation algorithm of nearest neighbor, an improved collaborative filtering algorithm based on user clustering is proposed. This improved algorithm filters the users by their features, and the improved cosine similarity algorithm is used for the item similarity computation. Experiments on the MovieLens dataset showed that, compared with Lis collaborative filtering algorithm, the recommendation quality of the improved algorithm is more accurate and the category coverage is larger.
Weighted Subspace Fitting DOA Estimation Based on Shuffled Frog Leaping Algorithm
Authors: Zhang Zhi Cheng , Yu Xiao Hui , Sun Hai Xin
Published: September 2013

In this paper, shuffled frog leaping algorithm (SFLA) is used to reduce the computation load of weighted subspace fitting (WSF) method for DOA estimation. As a recently proposed meta-heuristic algorithm, SFLA is suitable to solve the nonlinear multimodal optimization problem which WSF method encounters, so it offers an excellent alternative to the conventional methods in WSF-DOA estimation. Thus, the feasibility of SFLA applying to WSF-DOA estimation is analyzed, and its performance is compared with other popular meta-heuristic methods. Simulation results demonstrate that the proposed method is more efficient in computation and statistical performance.
An Improved Method of Judging the Theme Relativity Based on Vector Space Model in Vertical Search Engine
Authors: Ren Ya Heng
Published: September 2013

Vertical Search Engine provides a professional search compared with the traditional search engine. All of the data searched by vertical search engine is relative with some one theme, which is decided by users. Usually Vector Space Model is used for judging the relativity between data in the web and the decided theme. But when elements of the theme appear repeatedly, their order is not considered by Vector Space Model. Adding a new element, the Evolved Vector Space Model is provided. The experiments show that the new model has fixed the problem and have a better performance in judging relativity.
Data Integrity and Availability in Cloud Computing Based on Megastore
Authors: Yu Yue Yue , Qin Su Quan , Wen Qiao Yan
Published: September 2013

Cloud computing provides means of increasing the capacity or adding the capabilities which releases the heavy data user. It provides gigantic storage for data and faster computing to the customers on the internet. It transfers database and application software from the data owner to the cloud where management and maintenance of data take place. Security of data in cloud is one of the major issues which acts as an obstacle in the development of cloud computing. In this paper, an efficient model is proposed to protect the data in the process of transferring data to the cloud and get the data from the cloud. We take many precautions and measures to guarantee the security of data. To shield owners data from the malicious third party, RSA is used to encrypt data to cipher text. Because it is difficult to search data from the encrypted data, we take the technique of index the document by the keyword and then encrypt the index and send index with encrypted original data. To check the integrity of data, digital signature is taken to identify modifications of data. This article also introduces the concrete the underlying datacenter structure named Megastore and how Megastore functions seamlessly width owners while owners store data and retrieve data from the underlying datacenter. Megastore stores fine-gained partitions of data into different datacenters and the partitioning allows us to synchronously replicate each write to across wide area with reasonable latency and support seamless failover between different datacenters.
Rolling Bearing Fault Feature Extraction Based on SVD-EEMD
Authors: Wen Cheng , Zhou Chuan De
Published: September 2013

The novel method that singular value decomposition (SVD) is combined with ensemble empirical mode decomposition (EEMD) is proposed because of the mode mixing in empirical mode decomposition (EMD). The first step of this method is to reduce the random noise in fault signal by the SVD, and then does EEMD to restrain the mode mixing effectively. Finally, the intrinsic mode function (IMF) is done for envelope demodulation and as a result, the fault feature is extracted successfully. The implementation process was analyzed by simulation signal and this method has been successfully applied to in inner race and outer race of rolling bearing fault diagnosis. The results show that this method can extract the fault information of rolling bearing effectively and realize the precise fault diagnosis.
Application of Improved K-Means Clustering Algorithm in Customer Segmentation
Authors: Li Gang
Published: September 2013

Market competition is the competition for customers. By adopting customer segmentation model, decision makers can effectively identify valuable customers and then develop effective marketing strategy. Cluster analysis is one of the major data analysis methods and the k-means clustering algorithm is widely used. But the original k-means algorithm is computationally expensive and the quality of the resulting clusters heavily depends on the selection of initial centroids. An improved K-means algorithm is presented,with which K value of clustering number is located according to the clustering objects distribution density of regional space,and it uses centroids of high-density region as initial clustering center points. The proposed method makes the algorithm more effective and efficient, so as to gets better clustering with reduced complexity.
Efficient Monte Carlo Simulation for Pricing Variance Derivatives under Multi-Factor Stochastic Volatility Models
Authors: Ma Jun Mei , Gu Gui Ding
Published: September 2013

This paper studied the pricing of variance swap derivatives under the multi-factor stochastic volatility models by Monte Carlo simulation. Control variate technique was well used to reduce the variance of the simulation effectively. How to choose the high efficient control variate was also contained. Then the numerical results show the high efficiency of the speed up method. The pricing structure in the paper is also applicable for the valuation of other types of variance swaps and other financial derivatives under multi-factor models.
An Earthquake Clustering Method Based on Soft Distance Calculations
Authors: Chai Jun Xia , Liu Dao Hua
Published: September 2013

The traditional cluster analysis method based on the true distance is not conducive to the accurate calculation of earthquake different fault rupture propagation and healing rate. This paper proposed and gave a new clustering method based on soft distance calculations. The clustering process based on soft distance calculations, the calculation method for soft distances and the specific clustering algorithm based on soft distances are given. For the real sample points of strong earthquake as a data source, we use this clustering method and other traditional clustering methods to cluster and analysis the data source, and analysis results have showed that the clustering method obtained the same cluster center with the earth stress field evolution, so this method has objective truth. The cluster analysis method for the earthquake fault zones in the accurate calculation of the next strong earthquake provides a good basis for the calculations.
Towards Capturing Population-Wide Expertise via Online Professional Social Network Systems
Authors: Steele Robert , Min Kyong Ho
Published: September 2013

While much research work has been carried out in relation to the expertise of individuals in the domains of Q&A portals, special interest group portals, Wikipedia, blogs, and conference reviews, very little research has been done in relation to expertise measurement, based upon online professional social networks such as LinkedIn. Existing approaches have been based on evidence-based analysis from textual sources and communications. In this paper, we propose an expertise model based on expertise vectors composed of attributes and values derived by integrating information obtained in the two following ways: semi-automatic calculation utilizing online professional profile information collected from diverse online sources such as professional social network sites and some level of manual expertise identification by individuals. Unlike past approaches focusing on expertise measurement based on analysis of secondary evidence such as textual communications and/or social network activities, this is a novel approach to identifying expertise based on real-world work experience, qualifications and other skills indicated via information found in online professional profiles, often from professional social network sites. Given contemporary professional social network sites can have 100s of millions of participants such automated expertise measurement approaches are a step towards fine-grained, up-to-date and population-wide expertise capture and quantification.
RL Algorithm for Passive Millimeter Wave Imaging Based on BM3D
Authors: Niu Yi Ming , Cui Can , Yang Guo , Wu Wen
Published: September 2013

In a passive millimeter wave (PMMW) imaging system, the resolution of the acquired image is limited by the antenna size. The Richardson—Lucy (RL) algorithm is a simple and nonlinear method, which can improve the resolution of the image. However, when the noise can not be neglected, it is difficult for RL algorithm to get good restoration of the corrupted image. To the best of our knowledge, the block-matching with 3D transform domain collaborative filtering (BM3D) algorithm achieves very good performance in image de-noising. In order to improve the resolution of passive millimeter wave images, a RL imaging algorithm for passive millimeter wave based on BM3D is proposed in this paper. The modified algorithm effectively reduces the influence of noise on RL algorithm by using de-noise algorithm based on BM3D. Experimental results demonstrate that the proposed algorithm improves the performance of RL algorithm. Furthermore, the algorithm can be easily implemented for passive millimeter wave imaging．
A New Regularization Model Based on Non-Local Means for Image Deblurring
Authors: Wang Zhi Ming , Bao Hong
Published: September 2013

Image deblurring with noise is a typical ill-posed problem needs regularization. Various regularization models were proposed during several decades study, such as Tikhonov and TV. A new regularization model based non-local similarity constrains is proposed in this paper, which used l2 non-local norms and could be easily solved by fast non-local image denoising algorithm. By combining with Bregmanrized operator splitting (BOS) algorithm, a fast and efficient iterative three step image deblurring scheme is given. Experimental results show that proposed regularization model obtained better results on ten common test images than other similar regularization model including newly proposed NLTV regularization, both in deblurring performance (PSNR and MSSIM) and processing speed.
Implementation of RFID Middleware Based on Hash Chain
Authors: Yuan Jin Sha , Hu Yue
Published: September 2013

With the development of RFID technology , RFID middleware is gradually being taken seriously.RFID middleware can provide strong support for the RFID system, to make it more widely available. This paper introduces the MD5 and SHA-two kinds of hash algorithm.The design of RFID middleware software implementation based on the Hash link protocol, laid the foundation for the programming and Realization of software.
Application of Chaotic Neural Network and 3D DWT-DFT in Medical Volume Data Watermarking
Authors: Han Bao Ru , Li Jing Bing , Zong Liang
Published: September 2013

This paper proposes a digital watermarking method for the protection of medical volume data based on chaotic neural network and 3D DWT-DFT. In order to improve the security of digital watermarking, it uses chaotic sequence for scrambling .The chaotic sequence is generated by chaotic neural network. It makes full use of multi-level decomposition characteristics of 3D DWT-DFT, embedding watermark in the transform domain. The experimental results show that the method can resist filtering and rotation attacks, which has good robustness.
Watershed Segmentation Based on Histogram Threshold and Lowest Mean Edge Value
Authors: Lin Qian , Mu Tian Long , Li Wei Feng , Huang Xiu Lan
Published: September 2013

A novel algorithm based on gradient image histogram threshold and lowest mean edge value is proposed. Image objects are initialized using the gradient image histogram threshold and grow up using the watershed segmentation algorithm. To reduce the number of image objects, a merge method based on lowest mean edge value is proposed. The segmentation result revealed the advantage of this method in preventing over-segmentation.
Research on Facial Expression Recognition Based on Variable Precision Fuzzy Rough Set
Authors: Qin Xi Wen , Lin Han , Dong Xiao Gang , Zhang Hong Yu
Published: September 2013

In this paper, facial expression recognition as the starting point, it is extracted the mixing characteristics of the facial expression, including geometric and texture features. It can solve the problem of the collection contains the degree based on Variable Precision Fuzzy Rough Set, It could improved the accuracy of facial expression recognition using the method, thus making the facial expression recognition process more accurate and efficient.
Optimization of K-Means Clustering Segmentation in Head CT Images
Authors: Ma Guo Qiang , Wang Xiao Juan , Li Xiao Lan
Published: September 2013

We optimized the k-clustering program with MATLAB language in order to improve the stability and quality of k-clustering algorithm in medical CT image segmentation. One hundred and sixty-five head nodule thoracic computed tomography scans are used to test the proposed method and compare with the k-means function of the MATLAB R2012a Statistics Toolbox. We analyzed the difference of the two kinds program running time using single factor variance analysis method and observed the stability and quality of the images segmentation. The experimental results show that the optimized k-means clustering algorithm programming has higher stability and quality of segmentation. In the environment of Windows operation system and hardware of personal computer configuration, the segmenting times are about only one second, significantly lower than the original segmentation procedures. These can eliminate the feeling of waiting and improve the users comfort and efficiency.
Experimentally Determined the Structure of Crowd Formation Recognition Model with K2
Authors: Wang Zhong Feng , Zhang Hui
Published: September 2013

The identifying accuracy of crowd formation recognition models are typically tailored to the type of structure of model, or a specific scene domain. In this paper, we explore the sub-optimal structure of crowd formation model with K2 algorithm. Experimental results show that the recognition model structure taking into account at most two parents performs better than others on a data set generated from Xidan Commercial Street.
Printed Character Database Analysis Based Printed Document Examination
Authors: Yao Yong , Wang Wei Hua , Zhang Dong Fang , Guo Hong Yan
Published: September 2013

This paper presented a study on printed character database image analysis based printed document examination in purpose of identifying the printer which created a suspect printed document. It was composed of printed document image acquisition, image pre-processing, feature extraction and classifier. After characters are extracted and recognized in pre-processing, stroke feature sequence of each text block are calculated, and the HU moments of the sequence are also calculated. Finally, the Euclid distance classifier and MQDF classifier are used to recognize the fonts using the above two kind of font feature respectively. Experiments are carried out in a database including 40 LaserJet printers. The experimental results demonstrate the effectiveness of the proposed method.
Study on the Algorithms of Vision Localization of IGBT Automatic Wire Equipment
Authors: Cheng Yan Hua , Wang Lu Dan , Cheng Sheng , Zhang Jian Wei
Published: September 2013

In recent years, with the development of the science and technology, equipment automation has become a trend. IGBT(Insulated Gate Bipolar Transistor) automatic wire system is one of the key equipment, and the vision localization technology as the key technology for improving the performance, has become a key research area. This paper analyzes the principle of wire products, study template matching and geometric shape matching methods based on image processing technology. Experimental studies show that the vision positioning speed and the accuracy of the system has met the needs of wire equipment.
License Plate Fault-Tolerant Characters Recognition Algorithm Based on Color Segmentation and BP Neural Network
Authors: Wang Xiao Chun , Yang Guo Wei , Yang Yang
Published: September 2013

According to the license plate recognition problem, this paper did the research about license plate location and characters recognition. It proposed two new algorithms, they separately are license location algorithm based on color segmentation and fault-tolerant characters recognition algorithm based on BP neural network. In the pre-processing stage, it proposed image enhancement algorithm which could make the image more easily analyzed by computer. In the location stage, it made utilization of color and shape information, and then proposed location algorithm. In the recognition stage, it fully made the consideration of characters fault-tolerant, and then made the use of improved BP neural network to recognize characters. Experiments show that the special license plate fault-tolerant characters recognition algorithm is more accurate than the original license plate recognition methods, and its recognition rate has been improved greatly.
A Fast Stereo Matching Algorithm Based on Fixed-Window
Authors: Zheng Guan Wen , Jiang Xiu Hua
Published: September 2013

This paper presents a fast local stereo algorithm that suitable to real time applications. Thanks to the techniques like Box-filtering, fixed-window-based stereo matching algorithms can be really fast, but perform not well in some areas, i.e. the repetitive pattern and low texture areas. In order to improve the reliability of fixed-window algorithm and keep the algorithms speed, the proposed approach can deal with the repetitive pattern and low texture areas at a small computational cost. Experimental results show that the proposed approach provides a big improvement in accuracy compare to fixed-window algorithm, and the speed of the algorithm is still fast.
Implementation and Evaluation of the Image Segmentation Algorithm
Authors: Chen Li Jun , Ma Yong Jie
Published: September 2013

In order to achieve better image segmentation and evaluate the segmentation algorithm, a segmentation method based on 2-D maximum entropy and improved genetic algorithm is proposed in this paper, and the ultimate measurement accuracy criterion is adopted to evaluate the performance of the algorithm. The experimental results and the evaluation results show that segmentation results and performance of the proposed algorithm are both better than the segmentation method based on 2-D maximum entropy method and the standard genetic algorithm. The segmentation of the proposed algorithm is complete and spends less time; it is an effective method for image segmentation.
Detection Citrus Fruits with Shadow within Tree Canopy by Image Fusion Method
Authors: Lu Jun , Sang Nong , Liang Ren Yuan , Chai Lin
Published: September 2013

In order to guide the robots for harvesting citrus fruits, method based on normalized RGB model and chromatic aberration map was developed to detect citrus fruits with shadow within tree canopy. Several images of natural citrus-grove scene were photoed, and the color properties of target objects were analyzed. A rule for segmenting citrus fruits from background was put forward by fusing the segmented results of the normalized R channel map and the chromatic aberration map of R and B channels. The results show that the fruits with shadow can be detected integrally using the proposed method.
Recover Illumination of Images Taken under Irradiation of DLP Projector
Authors: Xu Shi Jin
Published: September 2013

Nowadays, more and more DLP projectors are used as light sources in some kind of applications for they are programmable. DLP projectors are designed to match human eyes, therefore when we see projected images or videos through our eyes, our perception would match the source files very well. However, in case we use high-speed cameras, color of captured images may deviate a lot from our expectations. In this paper, we explain the difference at first. Then, a method to recover illumination in consecutively captured images is proposed. Application, in which DLP projectors are used as light sources and cameras are used as sensors, may benefit from this work.
Video Objective Quality Evaluation System Based on the Visual Saliency Map
Authors: Wei Qing Lan , Zhang Yuan
Published: September 2013

This paper presents the thoughts about application of saliency map to the video objective quality evaluation system. It computes the SMSE and SPSNR values as the objective assessment scores according to the saliency map, and compares with conditional objective evaluation methods as PSNR and MSE. Experimental results demonstrate that this method can well fit the subjective assessment results.
Adaptive Feature Selection for Ultrasound Image Processing and its Application to Liver Cirrhosis Detection
Authors: Lin Wei Tin , Cheng Shyi Chyi , Lin Chih Lang , Yang Chen Kuei
Published: September 2013

An approach to improve the regions of interesting (ROIs) selection accuracy automatically for medical images is proposed. The aim of the study is to select the most interesting regions of image features that good for diffuse objects detection or classification. We use the AHP (Analytic Hierarchy Process) to obtain physicians high-level diagnosis vectors and are clustered using the well-known K-Means clustering algorithm. The system also automatically extracts low-level image features for improving to detect liver diseases from ultrasound images. The weights of low-level features are adaptively updated according the feature variances in the class. Finally, the high-level diagnosis decision is made based on the high-level diagnosis vectors for the top K near neighbors from the medical experts classified database. Experimental results show the effectiveness of the system.
Nonstandard Characterization of Fuzzy Graphs
Authors: Chen Dong Li , Zhang Yan
Published: September 2013

Based on general procedure for the construction of nonstandard graphs, we first construct a nonstandard fuzzy graph. Subsequently, we define the nonstandard hull of a fuzzy graph, and discuss its properties.
Existence of Solution for Second Order Impulsive Differential Equations with Mixed Boundary Conditions
Authors: Yan Li Zhao , Liu Jian
Published: September 2013

In this paper, we use variational methods to investigate the solutions of impulsive differential equations with mixed boundary conditions. The conditions for the existence of solution are established. The main results are also demonstrated with examples.
Calibration Control Platform Based STM32-Embedded System for Millimeter Wave Detector
Authors: Wang Wei , Chen Wang Jie , Wu Li , Peng Shu Sheng
Published: September 2013

Abstract. A STM32-based embedded system for 3mm wave detector calibration control platform is introduced in this paper. This embedded control system includes noise source control circuit, database circuit, a real time clock circuit, humidity and temperature sensor circuit, PS/2 interface circuit and SD card interface circuit. Experiment results demonstrate that the Embedded system could satisfy the requirement of millimeter wave detector calibration.
Analysis and Solution on the Correlation between Dissolved Oxygen Sensor and pH Sensor for Water Quality Monitoring
Authors: Liu Li Ya , Zhao Dean , Qin Yun
Published: September 2013

This paper designs a multi parameter real-time water quality on-line monitoring system for aquaculture water. This system achieves the online monitoring among temperature, turbidity, DO (dissolved oxygen), pH and electrical conductivity. The crosstalk, produced by the simultaneous measurement with DO and pH sensors, will affect accuracy and stability of monitoring results. This paper analyzes the source of crosstalk, describes a circuit model of causing crosstalk, and designs an isolated circuit between powers and signals as well. The experimental results show that, the real-time monitoring of DO and pH has the characteristics of speediness, high precision, small error and low noise.
Modeling and Simulation on Knowledge Transfer among Unofficial Groups Based on Communication Networks
Authors: Kou Xiao Dong , Zhang Bo , Yang Lin
Published: September 2013

With features of good interactivity and fast spread speed, unofficial networks play a significant role in knowledge transfer. Based on theories of communication networks and computational modeling method, the transfer situation of complex networks theory within Chinas learned societies, including its rising, spread and development, was modeled and then made simulation analysis by using the Blanche software. By comparing the analysis results with periodicals data from China National Knowledge Infrastructure, the effectiveness of the built model and the reliability of Blanche in multi-agent simulation research are all validated. Furthermore, the future development of complex networks theory in China is predicted as well.
Robust Compensator for Adaptive Optics System Improvement
Authors: Maimaiti Re Zi Wan , Yiming A Li Mu Jiang , Abulimiti Fulati
Published: September 2013

In this paper, we propose a simple and tunable robust compensator for an Adaptive Optics system, based on the Robust Model Matching strategies. In order to evaluate the performance of the system, we made some laboratory experiments with the atmospheric simulation instruments. Experimental result shows that by using the designed controller, the performance of the system has improved significantly comparing with some conventional works.
Research of Infrared Video Fatigue Detection Based on SoPC
Authors: Wang Xian Jun , Yuan Xiang Hui
Published: September 2013

A new high-speed infrared video-based fatigue detection system was developed using a system on a programmable chip (SoPC) in this study. Based on the limitations of PERCLOS, we merged the eyes and mouth fatigue related characteristics to improve detection accuracy, used a Difference of Gaussian (DoG) filter and Ada-boosting algorithm to implement driver fatigue detection based on multi-feature fusion. The detection system was produced using FPGA with a parallel processing structure and pipeline technology. This system is innovative and it can detect fatigued states efficiently and rapidly.
An Enhanced Weak Signal Acquisition Algorithm for Indoor Positioning Receiver
Authors: Deng Zhong Liang , Zhang Yu , Yuan Xie
Published: September 2013

This paper focuses on the research of weak signal acquisition based on time-division CDMA-OFDM (TC-OFDM) system by using long PN sequence with low power. An enhanced weak signal acquisition algorithm is proposed to improve the ability of weak signal acquisition compared with regular algorithm which uses short PN sequence with high power. Simulation shows that the ability of resistance to white noise in weak signal acquisition is enhanced by 12dB. Further, because of the good correlation of long PN sequence, the performance of resistance to strong signal interference has also improved 6dB.
A Review of Scientific Publishing Platforms
Authors: Xu Hao , Zou Mi , Liu Wei
Published: September 2013

Scientific publishing is currently undergoing significant paradigm shifts, as it makes the transition from print to electronic format, from subscribers only to open access and from static information to a dynamic knowledge space. In this paper, we investigate four tremendously promising online publishing systems and projects as a short review of state-off-the-art scientific publishing platforms.
Infrared Biosensor Test System under Pulsed Bias Voltage
Authors: Zhang Jia Yin , Dong Tao , Wang Kai Ying , Su Yan , He Yong
Published: September 2013

Infrared biosensor has been a hot area of research for several years in infrared field. This paper proposes a method to test infrared biosensor array which is not bonding with ROIC. The presented ROIC-less infrared biosensor is encapsulated in a vacuum chip scale packaging, and we design the off-chip “ROIC” in order to read out signal of infrared biosensor. It is necessary to apply bias voltage on pixels when infrared biosensor works, we gave a simulation of infrared biosensor in pulsed bias votage mode according to the infrared biosensor heat balance equation. Based on the simulation result, we have implemented the test system for ROIC-less and small-scale infrared biosensor array. We use FPGA as main controller to readout the infrared signal and transfer the data to PC via USB interface.
A Separation Technology for Biological Radar Signals of Respiration and Heartbeat
Authors: Zhang Hua , Li Sheng , Jing Xi Jing , Zhang Yang , Jiao Teng , Zhang Peng Fei , Lv Hao , Yu Xiao , Xue Hui Jun , Lu Guo Hua , Wang Jian Qi
Published: September 2013

This research aimed to separate the signals of respiration and heartbeat effectively from the biological radar echo signals of vital signs detecting platform. Therefore the characteristics parameters of the respiration and heartbeat could be extracted to provide the basis for clinical diagnosis and disease prevention. This paper put forward a separation algorithm of heartbeat and respiration based on LMS adaptive harmonic cancellation, the combined harmonics of the breathing signal was regarded as a reference input signal of the adaptive filter to improve the algorithm. Related experiments were designed to conduct filter processing. Results show that the algorithm proposed proved to be more effective in the signals separation of respiration and heartbeat.
Numerical Investigation of the Microstructured Optical Fiber-Based Surface Plasmon Resonance Sensor with Silver Nanolayer
Authors: Luan Nan Nan , Yao Jian Quan , Wang Ran , Hao Cong Jing , Wu Bao Qun , Duan Liang Cheng , Lu Ying
Published: September 2013

The surface plasmon resonance (SPR) sensor is proposed based on coating the inner surfaces of an index-guiding microstructured optical fiber (MOF) with a silver layer. Fiber core is surrounded by six large metallized holes which should facilitate the fabrication of the layered sensor structure and the infiltration of the analyte. The relationship between the sensitivity of SPR sensor and the refractive index of MOF material is demonstrated with finite element method (FEM). Numerical simulation results indicate that the sensitivity of SPR sensor decreases as the refractive index of the MOF material increasing and both spectral and intensity sensitivity are estimated to be 6.25×10-5and 6.67×10-5with low refractive index of MOF materialn=1.46.
A New Feature Extraction Method for Bone-Conducted Life Sounds Based on F-Ratio
Authors: An Ye Teng , Wang Hong Cui , Hyon Song Gun , Chen Sai , Dang Jian Wu
Published: September 2013

Bone-conducted life sounds are useful for monitoring human healthy situation. Although a number of feature extraction methods were proposed for air-conducted speech, they may not meet the requirements of the recognition task for bone-conducted life sounds since there is a large difference between air-conducted speech and bone-conducted life sounds. In order to obtain features that can characterize bone-conducted signals, in this study, we first analyze the property of bone-conducted life sounds itself and compare each kind of life sounds in the frequency region. Then we adopt the methods of F-ratio and improved F-ratio separately to measure the dependences between frequency components and characteristics of life sounds. According to the result of analysis, we design a new adaptive frequency filter to extract the desired discriminative feature. The new feature is combined with the Hidden Markov Model and applied to classify different kinds of bone-conducted life sounds. The experimental results show that the error rate using the proposed feature based on State mean F-ratio is reduced by 7.2% compared with the MFCC feature.
Low Power Operational Transconductance Amplifier (OTA) with Enhanced DC Gain and Slew-Rate
Authors: Huang Xiao Zong , Liu Lun Cai , Shi Jian Gang , Huang Wen Gang , Liu Fan , Luo Jun , Liang Zhou
Published: September 2013

This paper presents a low-voltage differential operational transconductance amplifier (OTA) with enhanced DC gain and slew-rate. Based on the current mirror OTA topology, the optimization techniques are discussed in this work. The proposed structure achieves enhanced DC gain, unit gain frequency (UGF) and slew-rate (SR) with adding four devices. The design of the OTA is described with theory analysis. The OTA operates at the power supply of 1.8V. Simulation results for 0.18μm standard CMOS technology show that the DC gain increases from 60.6dB to 65dB, the UGF is optimized from 2.5MHz to 4.3MHz, the SR is enhanced from 0.88 V/μs to 4.8 V/μs with close power consumption dramatically.
Optimization and Research of the Adaptive Wiener Filter Based on Fuzzy Neural Networks
Authors: Zhao Yan Jun , LIU Li
Published: September 2013

This paper introduces fuzzy neural network technology into the adaptive filter and makes further research on its structure and algorithms. At first, fuzzy rules are determined and the network structure is built by means of dividing fuzzy subspaces. Secondly, membership functions are chosen layers are defined and the network is trained by adaptive learning algorithm. Thirdly, training error is the minimum with repeating debugging. Finally, linking weight, the central value and width of the network membership function is adjusted by using experience of experts. The optimal performance of Adaptive Wiener Filter is realized based on Fuzzy Neural Networks.
A Research on Transmission Line Power Frequency Parameter Measurement
Authors: Gao Qing Min , Gao Lei , Wu Ya Fang
Published: September 2013

This paper aims at various problems encountered in the current power-frequency parameter measurements, analyzed the feasible solutions which not only effectively improved the accuracy of surveying data, but also provided necessary and accurate data for transmission line parameters for the calculation of stability of power system and relay protection setting, and a reliable theoretical basis for the calculation of electric power system and correct setting and selection of various switching equipment. It has been proved through practical engineering verification that, power-frequency parameter measurements has very important significance in improving the safe operation of the power system.
TC Control of Web Winding System Based on Active Compensation
Authors: Li Hong Ru , Jiang Zhi Bin , Kang Nan , Qu Jun Tian
Published: September 2013

A new control approach for velocity and tension regulation is proposed in the web winding system. The TC control strategy is based on active compensation, which actively compensates for dynamic variations and unexpected disturbances. The simulation of a typical web winding system is applied to provide realism. The results demonstrate the effectiveness and robustness of the proposed controller in dealing with broad dynamic variations and non-matching parameters conditions.
Research and Simulation of an Aircraft Behavior during U-Turn Maneuver
Authors: Wang Jie Ning , Qu Jiang , Zhao Yuan Di , Dong Mei
Published: September 2013

U-turn maneuver belongs to the special ground taxiing behavior, which are not accurately demonstrated in current visual simulation system. This paper presents a method to address computational problems of the position and attitude during the special ground maneuvers. From the perspective of simulation of airport tower control, aircraft movement calculation method constrained by nonholonomic kinematics are proposed to describe accurately the U-turn maneuvers. According to actual movement and nonholonomic path following model, an algorithm suitable for simulation-driven calculation is designed. In addition, under the open-loop control, aircrafts U-turn maneuver algorithm constrained by runway geometry and steering angle variation is designed to describe completely the behavior. Compared with dynamics model, this method we proposed have advantages that are easier to be calculated and more suitable for visual simulation. Above all, It is proved that the method is valid through simulation with aircraft geometry data.
Design of the Oxygen Lance Lifting Control System Based on S7-400 PLC
Authors: Xing Ke , Meng Han
Published: September 2013

With the high demand for steel building steel works, steel quality requirements are also gradually increasing, continuous innovations in technology in steel plant to produce high quality all steel. Now widely used in the metallurgical industry in top blown oxygen steel-making, automatic control system of oxygen Lance in converter steelmaking on oxygen top blown oxygen process plays a key role in lifting control. In order to forge a more quality steel products, need to study the Lance system automation control performance. So with Lance for the study, with Siemens S7-400PLC has designed a new type of control system of oxygen gun. And related programming, introduced the hardware components and PLC control system of oxygen gun. Proof, the system reached the Lance to pinpoint and aim to increase production efficiency. Keywords: Top blown oxygen steelmaking,Lance,S7-400PLC,automatic control system
Electromagnetic Propulsion Aero-Engine Design Based on Ampere Theorem
Authors: Bi Shu Sheng , Fang Shi Xing , Wang Shi Hao
Published: September 2013

This paper means to provide an innovative design of aero-engine after investigating existing aero-engines. It is a late model power plant design which is based on the watercraft electromagnetic propulsion technology and the theory that in electromagnetic field magnetic field generates Ampere force to current flow and in combination with specific structures of aero-engines. The design principle of this engine is that when the air working medium with high conductivity goes through an arc generator, it will ionize and produce plasma, which actions in the magnetic field that produced by built-in superconducting magnetic and generates forward push. This design will provide a theoretical reserve for future development of aero-engines and has potential market prospects.
Using Active Sliding Mode Controller Antisynchronization of Fractional-Order Chaotic Systems with Uncertainties and Disturbances
Authors: Zhang Hong
Published: September 2013

The antisynchronization behavior of fractional-order chaotic systems with parametric uncertainties and external disturbances is explored by using robust active sliding mode control method. The sufficient conditions for achieving robust antisynchronization of two identical fractional-order chaotic systems with different initial conditions and two different fractional-order chaotic systems with terms of uncertainties and external disturbances are derived based on the fractional-order derivative method. Analysis and numerical simulations are shown for validation purposes.
Research on Machinery Manufacturing Industry's Future Development Strategy Based on CIMS
Authors: Liu Yong , Wang Da Zheng , Len Xue Shuang
Published: September 2013

This paper describes a strategy to fulfill the needs of the 21st century machinery manufacturing industry, especially for the industry that produces the low repetitive and high productmix components using machining centres. The approach of development strategy is emphasized in developing of computer integrated manufacturing system (CIMS). The system comprises of computer aided design (CAD) and computer aided manufacturing (CAM) modules, which is supported by common and working databases. Focuses on computer-integrated manufacturing's macro aspects and its future development strategy implications. Defines CIMS at the macro and micro level and the various factors that strongly call for the implementation of CIMS. After going into the advantages, concludes with development strategy implications for the future.
A New Probability Prediction Method for Key Subsystems of Machining Center
Authors: Li Xiao Bing , Yang Zhao Jun , Cheng De Bin , Liu Jia Xin , Cai Zi Gang , Liu Ya Zhi
Published: September 2013

A New Probability Prediction method is proposed for the key subsystems of Machining Center (MC). Firstly, the Failure Mode Effects and Criticality Analysis (FMECA) method is used for finding out the key subsystems which affect the Machining Center reliability most seriously. Then, the empirical models of key subsystems and the Machining Center are built based on the fault time. Under the assumption that the MC is a Series System, the posterior probability of the key subsystems is obtained by Bayesian th eory. The case example shows that the fault probability of key subsystems is changing as the MC fault probability changes. At a given time t, the fault probability of key subsystems can be calculated by the empirical models of key subsystems and the MC.
Study on Cloud Computing Clusters Based on Coordination Method
Authors: Wu Jing , Zhao Feng Zhi , Dong Yu Dan
Published: September 2013

This paper makes the case that virtualization offers new opportunities to alleviate throughput collapse in data center Ethernet. We present the design, implementation, and evaluation of a prototype system, called XCo, which explicitly coordinates network transmissions from virtual machines across a cluster's Ethernet infrastructure. We show that explicit coordination can be implemented transparently without modifying any applications, standard protocols, network switches, or VMs.
Comparison and Inspiration of Bank Computer System and Power Dispatching Automation System in China
Authors: Yan Mi Fang , Shan Mao Hua , Yan Chun Hua , Gao Zhi Yuan , Tian Wei
Published: September 2013

The informatization development of banking industry and power dispatching automation system in China was introduced. The data transmission, the network level, the network topology and the selection of technical system for both were compared. The banking network more single tends to choose IP over ATM networking. The power dispatching data network includes two levels and every level is subdivided into three. IP over SDH networking is more suitable for it.
Analysis and Design of Spherical Aerial Vehicle's Motion Modes
Authors: Hou Kang , Sun Han Xu , Jia Qing Xuan , Zhang Yan Heng , Wei Nan Zhe , Meng Liu
Published: September 2013

This paper presents an overview of the development of an innovative unmanned aerial vehicle (UAV) - spherical aerial vehicle. This spherical aerial vehicle has an obvious advantage of both flying in the sky and running on the ground. This new concept and structure increases the robots locomotion effectiveness and efficiency. Its unique structure is designed in detail. The movement modes of spherical aerial vehicle flying modes and rolling modes - are presented concretely. In order to achieve its rolling function, the device parameters of spherical aerial vehicle were analyzed and designed.
Programming Applications of Computer Aided Design and Layout of the Complex Solar Panels
Authors: Volkov Andrey , Sukneva Luiza
Published: September 2013

The last few years, most of the western generating companies are investing a lot of money on projects related to alternative energy, including renewable energy sources (RES). Russia is also interested in the development of such projects. This is due to the fact that only 30-35% of the area covered by Russian Unified Energy System (UES), the rest is serviced by power plants operating in standalone mode, or local power systems [. For these areas the development of renewable energy is the most promising.
The Development and Application of Digital Mine Ventilation System
Authors: Hu Dong Tao , Cen Yuan Gang , Yang Zhen , Huang Lang
Published: September 2013

Based on the fourth-generation GIS technology and 3D visualization technology, using the object-oriented programming language Visual C++ as development tools, in the Windows operating platform, developed a Digital Ventilation System of Mine, and applied to the actual mine. Applications show that the system has a powerful analysis capabilities and 3D information processing functions, can be a true reflection of the actual state of mine ventilation, which can be provide an intuitive, timely and reliable information for the day-to-day management of mine ventilation.
Scale Effect on Dynamic Analysis of Electrostatically Actuated Nano Beams Using the Nonlocal-Gradient Elasticity Theory
Authors: Yang Liu , Peng Jian She
Published: September 2013

A nonlocal-gradient elasticity beam model with two independent gradient coefficients based on the classical nonlocal elasticity theory and strain gradient theory is used to study dynamic analysis of electrostatically actuated nanobeams. The numerical results show that the deflection response and frequency response of nanobeams are all affected by the small scale. And the two independent gradient coefficients play the different roles in it. This paper broadens the way of studying scale effect.