bluuebunny/crossref_metadata_2025 huggingface dataset:
A Design Based on Bioimpedance Spectroscopy Method in Human Abdominal Adipose Measurement System
Authors: Li Zhang Yong , Chang Fei Ba , Chen Xiao Bo , Leng Rui , Wang Wei
Published: December 2012

This article describes a measurement of human abdominal fat device designed based on BIS (bioimpedance spectroscopy), the device adopts four electrodes multi-frequency bioelectrical impedance measurement system, including the programmable signal generator module and the amplitude and phase detection module. Program controlled signal generator module can generate the high output impedance of the constant current source in the eight frequency points constant current source between 5KHz and1MHz; amplitude phase detecting module can detect the human body electrical impedance real part and imaginary part information. Therefore, the device can be accurate measurement of human abdominal impedance information in the whole frequency range. Meanwhile, according to the selected electrode fixed position and the appropriate measurement scheme, can calculate the corresponding depth of abdominal fat content.
Efficient Data Association for Multiple Vehicles Tracking
Authors: Lee Seok Lyong , Cho Du Hyung
Published: December 2012

Data association problem has been an important issue for the multiple vehicles tracking in a vehicle tracking system. In this paper, we present an efficient data association method to track multiple vehicles in a sequence of traffic video frames. We first introduce the compact rectangular region-of-interest (crROI) that tightly encloses a vehicle and has the rotation-invariant property. The subsequent processing is based on the crROI instead of a vehicle image itself to avoid the processing overhead. Next, we extract the features from the crROI such as shape, size, and spatial relationship. Using these features, we define the similarity metric between two vehicles, and present the association method that matches a vehicle in a frame with the corresponding vehicle in its consecutive frame. An experimental result shows that the proposed method identifies and tracks vehicles effectively and efficiently in the curve or crossroad environment where multiple vehicles appear.
A Threshold Image Method for Finger-Vein Segmentation
Authors: Liu Tong , Xie Jian Bin , Lu Huan Zhang , Yan Wei , Li Pei Qin
Published: December 2012

Image segmentation is an important processing step for finger-vein identification technique. But it’s difficult to extract precise details because of the irregular noise and shades around finger-vein. In this paper, a threshold image method is proposed for finger-vein segmentation. The new method computes thresholds for every pixel, so every pixel has a best threshold to get good segmentation. In order to compute the thresholds robustly and rapidly, we develop an optimal OTSU method. Firstly, the pixels with larger brightness than mean brightness are set to background directly. Then, the brightness is confined in a small region when computing threshold by using an optimal OTSU method. The experiments show that the proposed method can obtain good segmentation of finger vein images while costing small time consuming.
Applying Surface Fitting in the Medical Thermal Texture Maps
Authors: Ye Fu Li , Shi Gui Lian
Published: December 2012

This paper studies the application of surface fitting technology in medical tomography. In clinical research, in the result of early detection of cancer increasingly critical, the accuracy and efficiency become the most important issues in medical tomography. However, recent research on medical tomography only use curve fitting technology and only can fit single point heat source, which cause the analyzed result not accurate enough and complex the process of medical tomography. To improve the problem, surface fitting technology is applied in medical tomography, and then information of multiple heat sources can be directly fitted out. The experiments have confirmed: using Custom Equation fitting method in the Curve Fitting Toolbox of MATLAB can accurately fit out heats as well as locations of multiple heat sources (information of diseases area). The result improves the accuracy and efficiency of the Tomography and provides the base for the design.
A New Graph Compression in Information Storage
Authors: Wang Hai Tang , Xing Zhao Hui , Li Min
Published: December 2012

In the information storage, the image is often encountered, but the image storage and analysis are very complex, in order to more save memory space and more be used as a compressed representation of a graph, we give a new definition in the paper. We show some properties and give the lower integral sum number of some graph.
A Novel Image Denoising Method for Matched Filtering System
Authors: Xu Xin
Published: December 2012

One method is proposed to remove the random noise and low-frequency coherent noise in the images of the optic 4f system, which is based on fusion of multiple spatial frequency spectrum images. The multiple spatial frequency spectrum images of once experiment are captured based on the image copying character from the lattice structure of spatial light modulators, which contains the same useful image information and noise with the similar distribution but different values. The random noise and coherent noise in these images are removed by combining it utilizing image fusion technique, which is similar to cumulative mean in time domain. The theoretical analysis and physical experiment suggests that the method is able to remove random noise and low-frequency coherent noise effectively and reserve the useful image information.
Fabric Image Edge Detection Based on Quaternion and Echo State Networks
Authors: Tu Ang Yan , Chen Jian Cheng
Published: December 2012

Based on synthesizing quaternion and the R, G, B component of color image , a color image edge detection algorithm was proposed combining quaternion with Echo State Networks(ESN) in this paper . The pixel and its eight neighbourhood average is used to calculate vector product as the characteristic vectors of image edge. Then the ESN has been trained by the characteristic vectors. After training , the ESN is directly used for edge detection. Experiments show that this method has good effect of fabric edge detection, and have a stronger ability to keep the details.
Semantic Mapping of Color Feature and its Application in Content Based Image Retrieval
Authors: Zhong You Ping , Peng Biao , Li Jun , Zhang Chong Yang
Published: December 2012

To support content based image retrieval, MPEG-7 is developed to define the content interfaces for images. In MPEG-7, Dominant Color Descriptor (DCD) is considered as the most important feature, and is widely used to describe the color features of an image. To support semantic queries from users, we proposed a color feature semantic mapping method in this work, which can translate the DCD values into semantic color names. The semantic mapping method is realized by constructing a mapping table between the DCD values and the semantic color names. To validate the effectiveness of our mapping method, an image retrieval experiment is conducted. From the comparison with the manually indexed description, the proposed mapping method is proved to be effective by the experiment results. Our work is very important to automatically generate the semantic description of an image and then support the users’ semantic retrieval queries.
Infrared Image Mosaic Based on Pulse Coupled Neural Network
Authors: Zhang Xue Wu , Wang Yan , Li Wei , Zhou Yun
Published: December 2012

According to the infrared image noise interference serious and low signal to noise ratio characteristics, an image mosaic algorithm based on pulse coupled neural network is presented in this paper. The algorithm uses the PCNN imitation of biological vision to extract edge information, adopts the Hausdorff distance as the registration similarity measure, afterwards, computes the optimal registration parameters, simultaneously, uses the weighted average fusion method to achieve image mosaic. The experimental results show that the algorithm can achieve precise image mosaic and have better robustness to noise.
Applications of Wavelet Penalty Function in De-Noising for Hyperspectral Images
Authors: Yan Ji Ning , Zhou Ke Fa , Sun Li , Qin Yan Fang , Zhou Shu Guang , Xiang Nan
Published: December 2012

With the development of the hyperspectral remote sensing technology, the level of quantitative remote sensing has risen greatly, but varying degrees of random noise is contained. To optimize the use of the remote sensing images and to improve the effectiveness and accuracy of discriminating ground objects according to spectral absorption features, random noise removing is necessary. Aimed at the distribution characteristics of the random point noise of HJ_1A HSI data level 2 product, eliminate the Gaussian white noise by soft-thresholding filtering based on the Birge-Massart penalty function in wavelet domain. And the result shows that the method can not only remove the additive noise effectively, but also retain most of the feature information and edge details of the original image. Therefore, the method could provide necessary support for quantitative use of HJ_1A HSI data.
Boundary Element Numerical Method for Electric Potential Generated by Oblique Five-Needle Electrodes
Authors: Wang An Ling , Liu Fu Ping
Published: December 2012

According to the electric potential of oblique five-needle electrodes (OFNE) in biological tissue, the discrete equations based on the indetermination linear current density were established by the boundary element integral equations (BEIE). The non-uniform distribution of the current flowing from five-needle electrodes to conductive biological tissues was imaged by solving a set of linear equations. Then, the potential generated by OFNE in biological tissues at any point can be determined through the boundary element method (BEM). It means that this method has an important referenced significance for computing the potential generated by OFNE in bio-tissue.
Robust Data Hiding Method for Palette Images Using Double Messages Embedding
Authors: Wu Mei Yi
Published: December 2012

The commonly used JPEG and GIF images on Internet web sites have become more popular for steganographic applications. However, the use of lossy image compression will destroy the embedded message on the marked images. This article presents a novel data hiding method for palette images which can embed double messages, secret and robust messages, into palette images. The receivers can extract both the embedded two messages with no loss if the stego-image is not encountered any attack. If the stego-image is attacked, we can still extract the robust message with little distortion from the attacked images. The proposed method is based on parity check and statistical quantity histogram. Experiment results show the proposed method can achieve high performance in embedding capacity and robustness.
A High Capacity Reversible Data Hiding Scheme for Halftone Images by Similar Pattern Selection
Authors: Wu Mei Yi , Lee Jia Hong
Published: December 2012

In this paper, we propose a high capacity reversible data hiding method for error diffused halftone images. It is a challenge to conceal data in halftone images due to their smaller depth. We utilize statistical features of pixel block patterns to embed data. The marked images can be perfectly reconstructed into their original halftone images. Traditional pair-based schemes selected two similar patterns as one pair to toggle one-bit data embedding. We extend the approaches and present a group-based encoding scheme to collect similar patterns into groups for multi-bits embedding. Experimental results show the proposed method can significantly improve the capacity of marked halftone images while preserve the similar marked image quality.
An Efficient and Fast Iris Location Algorithm
Authors: Shi Chun Lei , Jiang Guang Yuan , Qi Haiyan , Han Fei
Published: December 2012

The edge information of pupil was extracted by the least-square method, and the iris outer circle was extracted by the improved Canny Operator plus Hough Transform. The segmental-secondary linear localization method adopting edge detection and Radon Transform was proposed to remove the noise from eyelid on the eyelid localization, the eyelash noise and eyelid shadows were removed by threshold method.
The Research of Blast Furnace Blower Shaft Fault Diagnosis Beased on Wavelet Analysis
Authors: Sun Tie Qiang , Liu Rong , Xie Cui Xue
Published: December 2012

This article briefly introduces that the blast blower shaft fault diagnosis and prediction based on wavelet analysis. When the blast furnace operation of axial fan of vibration signal de-noising and singularity analysis, the fan operation state for real-time monitoring, timely find fault information and fault point, guarantee the safety, stability of the blast blower operation. Through the data with Matlab simulation effective, is that the wavelet analysis used in blast furnace fan axis of the fault diagnosis of feasibility.
Lanna Handwritten Character Recognition on Historical Documents Using Feature Extraction
Authors: Khankasikam Krisda
Published: December 2012

The objective of this paper is to develop methodology that can recognize the Lanna handwritten character on historical documents by using character feature extraction technique. Historical documents are national treasures. Insignificant effort has been made to preserve Lanna historical documents. Other nations such as Egypt, China and Greece are investing a large effort in restoring and preserving their national historical documents. As a starting point, the focus is on using one Lanna historical document for performing experiments and verifying recognition methods available in this research area. The proposed system consists of three modules, which are image preprocessing module, feature extraction module and character recognition module. The details of each module are following: first, the input image is transformed into a suitable image for feature extraction module. Second, the proposed system extracts character features from the image. Finally, the extracted character information, which is kept in form of bit string, is calculated a similarity value for recognition result. The experiment was conducted on more than 4,000 Lanna handwritten characters by using 10-fold cross-validation classification method which is using 3,600 for training characters and 400 for testing character. The cross-validation process is repeated 10 times, with each of the 10 subsets used exactly once as the validation data. The precision of the proposed system is around 89.73 percent.
Method for Classification of Remote Sensing Images Based on Multiple Classifiers Combination
Authors: Shi Li Jun , Mao Xian Cheng , Peng Zheng Lin
Published: December 2012

This paper presents a new method for classification of remote sensing image based on multiple classifiers combination. In this method, three supervised classifications such as Mahalanobis Distance, Maximum Likelihood and SVM are selected to sever as the sub-classifications. The simple vote classification, maximum probability category method and fuzzy integral method are combined together according to certain rules. And adopted color infrared aerial images of Huairen country as the experimental object. The results show that the overall classification accuracy was improved by 12% and Kappa coefficient was increased by 0.12 compared with SVM classification which has the highest accuracy in single sub-classifications.
Recogniton of a Target under Non-Uniform Illumination and Noisy Conditions
Authors: Zhao Yu , Zhao Hui
Published: December 2012

We propose a new design to detect a target degraded by non-uniform illumination function and additive noise placed in non-overlapping background noise. The method is based on estimated illumination function and Wiener filtering theory, which provides robustness to non-uniform illumination and noisy conditions, especially for non-overlapping background noise. Computer simulation results are presented to verify the performance of the method.
A Statistical Method Based on the Image of the Ore Partical Size Distribution
Authors: Zhao Nan Nan , Hu Juan , Guo Lian Jun
Published: December 2012

A statistical method of particle size distribution is researched in order to measure the mineral blasting effect. Aimed at resolving the problems of sensitivity to noise and over-segmentation existing in the traditional watershed algorithm(TWA), a improved watershed segmentation scheme based on morphological reconstruction and mark extraction is presented. Firstly, two-stage grayscale morphological reconstruction (TGMR)is employed to filter the image. Secondly, the watershed seed area and the watershed line area are pre-calibrated in the gradient image. Finally, the watershed transformation(WT) is conducted so as to further eliminate over-segmentation. Simulations show that the method can effectively remove the noise jamming and restrain the over-segmentation. It is also able to accurately locate the ore region contour in order to improve the segmentation results.
Arithmetic of Bridge Recognition Based on Straight-Line Characteristic
Authors: Dong Yin Wen , An Jing Xin , Yuan Bing Cheng , Shi Zhao Ming
Published: December 2012

Bridge recognition algorithm based on straight-line characteristic is proposed in order to automatically recognize bridge from aerial images, which includes the steps of edge detection, straight-line extraction, coarse location for bridge, accurate location for bridge. Meanwhile, realize the fast accurate location for bridge area by modified 8-neighborhood connectivity processing. The experiment result shows the reliability and efficiency of the method proposed in this article.
Hybrid Genetic Clustering by Using FCM and Geodesic Distance for Complex Distributed Data
Authors: Yang Yong Sheng , Li Gang , Zhu Yong Sheng , Zhang You Yun
Published: December 2012

To efficiently find hidden clusters in datasets with complex distributed data，inspired by complementary strategies, a hybrid genetic clustering algorithm was developed, which is on the basis of the geodesic distance metric, and combined with the Fuzzy C-Means clustering (FCM) algorithm. First, instead of using Euclidean distance，the new approach employs geodesic distance based dissimilarity metric during all fitness evaluation. And then, with the help of FCM clustering, some sub-clusters with spherical distribution are partitioned effectively. Next, a genetic algorithm based clustering using geodesic distance metric, named GCGD, is adopted to cluster the clustering centers obtained from FCM clustering. Finally, the final results are acquired based on above two clustering results. Experimental results on eight benchmark datasets clustering questions show the effectiveness of the algorithm as a clustering technique. Compared with conventional GCGD, the hybrid clustering can decrease the computational time obviously, while retaining high clustering correct ratio.
Airdrome Line Image Recognition Algorithm
Authors: Du Lei , Liu Man , Zhan Xiao
Published: December 2012

Airdrome line recognition system can recognize the deformity areas of the airdrome lines, and send their information to the redraw system to redraw them. To gain the information of deformity areas of airdrome lines, according to the characters of airdrome lanes, we expressed a algorithms that use the number of white points every two lines as the eigenvalue of a graphic, after pretreated and divide the images, with the rules predefined the algorithms can recognized the location and size information of the deformity areas, which can be useful for the redraw system.
Infrared Imaging Inspection of Rare Bird Species Based on Nonlinear Filter Algorithm
Authors: Zhang Xue Wu , Zhou Yun , Zhou Song Ren , Wang Yan
Published: December 2012

According to the characteristics of infrared imaging and rare bird species, a infrared imaging inspection method for rare bird species based on nonlinear filter algorithm has been proposed. Firstly, the CCD(charge-coupled device) sensors are used to obtain infrared video-data for rare birds, and then the captured images of rare birds are preprocessed to obtain the body axis length. Secondly, nonlinear filter algorithm, combined with physiological characteristics of rare bird species, is used to detect and identify the high-speed flying birds. Finally, the capabilities of EKF(extended Kalman filter) and PF(particle filter), the two kinds of nonlinear filter algorithm in inspecting have been researched deeply. Theoretical analysis and experiments demonstrate that the performance of PF is much better than EKF to inspect high-speed flying non-rigid object in complex environment.
An Improvement Measure to Human Body Detection Based on Kinect Using Integral Images
Authors: Han Jianpin , Geng Bo Ting , Tan Tian
Published: December 2012

Human body detection of intelligent system is an important and crucial issue, and this work has been studied for many years. Luciano Spinello achieved the real-time detection performance of human body based on Kinect with the help of GPU to accelerate to computation of features .But when its algorithm is realized in CPU, it can’t still achieve the real-time detection performance. This paper put forword a improvement measure to accelerate the computation of features. Features can be rapidly calculated by integral images, which was proposed by Qiang Zhu to detect object rapidly in 2001, abandoning the previous procession of using three line interpolation and Gauss filter, the improved algorithm, in CPU 3.10Ghz, RAM 2.85GB, 640*480 detection window, can achieve the average detection rate of 40 FPS. Performance gets promotion greatly.
Recognition of Offline Handwritten Chinese Characters of Amount in Words Based on Integrated Features and HMM
Authors: Liu Cai Feng , Tian Xue Dong , Yang Fang
Published: December 2012

A recognition method of offline handwritten Chinese characters of amount in words is presented. The method uses elastic mesh strategy to divide character images written by special men into meshes, and extracts directional element and key point features in every mesh to produce a vector. Based on independent Hidden Markov Model classifiers, this paper uses voting rule to integrate the Hidden Markov Model classifiers. The experimental results show that this method has a relative high recognition rate.
Improved Snake Model Algorithm with Application in Liver Image Segmentation
Authors: Lan Hong , Min Le Quan
Published: December 2012

Snake model is one of classical active contour models, and is widely used in the image segmentation. But it has defects of sensitive to the initial contour and lack of curvature constraints. This paper presents an improved Snake model algorithm, which initializes contour by maker control watershed algorithm and adds an external force related with the curve shape into the energy function of Snake model to solve the problem about curvature constraints. Testing on the Magnetic Resonance (MR) images of the abdomen for liver image segmentation proves that the new algorithm can achieve good results.
Massive Data MapReduce Fingerprint Discriminant Algorithm Based on Hadoop
Authors: Lu Wei , Huang Jun , Hong Lin
Published: December 2012

The problem of effectively identifying of joining the network again is able to obtain the actual interest in the mobile business. The biggest problem of identifying the joining the network again is that even if a small amount of data will also require a lot of computing resources for comparison algorithm. This article using Hadoop technology proposed Hadoop's MapReduce technology heavy network fingerprint discriminant algorithm, which greatly improves the efficiency of heavy network fingerprint algorithm discrimination, the the discriminant algorithm proposed new higher discrimination accuracy than the original discrimination algorithm.
Developing an Online Payment System for Campus Level Examination
Authors: Qiu Jing , Shuang Ding Ren , Zhang Guang Hua , Gao Kai
Published: December 2012

This paper presents the implementation of CETPayment system which is an online payment system against CET (College English test). Hierarchical design is used to increase the flexibility of the system development. Althrough the workload of system design and implementation increased significantly, it can respond to rapidly changing business needs. Because of the use of hierarchical design, the system can be modified and adjusted quickly when it faced two major adjustments in the business logic. LINQ to SQL is used to make the system development process more automatic and effective, and avoid SQL injection attacks. A third-party payment company is chosen to process the payment requests of the candidates. A synchronous Reconciliation strategy is used to solve the problem of "single out". CET-CETPayment system can effectively reduce the work pressure of exam organization and management.
Research on the Campus Card's Network Depositing Platform Construction - As Nanchang University for Example
Authors: Gong Hua Ping , Deng Qing Jing , Wen Peng Peng , Nie Sheng , Wan Lu Bing
Published: December 2012

As an information carrier, campus card has the functions of campus consumption, identity authentication, library management, and seeing the doctor in school hospital etc.. At present, there are three representative campus card depositing mechanism namely cash recharge, recharge and depositing through depositing machine and the recharge and depositing by the Bank deducting, all of which have the shortcomings of cumbersome process, information disclosure, the limit of the deposit amount and so on. For these, we put forward the web-based campus card's deposit programs - network recharge and depositing as well as the improvement program for the terminal POS. What's more, we came up with the agreed function dynamically password to ensure the user's financial and service security.
Exploring the Resource Nature of Online Sourcing Marketplace
Authors: Lu Bao Zhou , Zeng Qing Feng
Published: December 2012

Online sourcing marketplace is a new business model that provides business services to firms. Considering the resource nature of online sourcing marketplaces, we focus on and explore impacts of the resource-based attributes on trust. Thus, we look into a new kind of online marketplaces devoted to services. The research model is examined with the data collected from an online micro-sourcing marketplace. Our findings indicate the importance of institution-based trust in building effective online outsourcing marketplace. Moreover, trust in marketplace builds on its ability to supply resources and to facilitate the resource utilization process. Finally, implications for theory and practice are presented.
On the Construction of E-Commerce Websites in Universities
Authors: Zhao Hai Li , Li Yan , Zhou Jun Gang
Published: December 2012

College has a good infrastructure in e-business applications, e-commerce in the university campus, you can create a good e-commerce environment, the practice can provide e-commerce platform for the study of economic, management, computer and other professional students. Colleges and universities have fixed consumer groups, Their consumption is sufficient to support the operation of university e-commerce site, Meanwhile, according to consumer groups on campus the design of site should have the characteristics for itself ,External information services systems and management information system components as a whole system of colleges and universities site, The most important thing is the Website can be fine and strict management relying on the university's human resources.
The Improvement of a Prediction Study of Transactions Based on E-Commerce Site Search Data
Authors: Wang Wen Liang , Peng Geng
Published: December 2012

The search behavior of E-commerce consumers is conscious. And their shopping is another kind of consciousness behavior. In the shopping process of e-commerce website, these two consciousness behavior were joined together. So, the phenomenon reflects some trends and patterns, reflect the relationship between e-commerce site search volume and trading volume. This paper will attempt to establish the model of a theoretical framework, which explored the first - lag relationship between the amount of e-commerce site search and e-commerce transaction volume, by stepwise method which obtain comprehensive search index, and then which complete the empirical analysis, obtain the prediction result. The results showed that: there are a higher correlation between the search data and trading volume of e-commerce site; after adding a synthesis of the search index, the model fit increased to 0.901, which significantly improve the prediction result of the model. At the same time, the model has a stronger timeliness, which can more timely predict e-commerce transactions.
The Improve Methods of Citizen Digital Identification Card: A Case of Government Intelligence Services
Authors: Lee Yu Cheng , Hsiao Yin Cheng , Hsieh Pei Yu , Ma Yun Tien
Published: December 2012

In the trend of e-government development and the emphasis on enhancing government intelligence capability, Taiwan provides publics and industries with active service process by integrating government information, building innovative technology (e.g. cloud technology, Internet of Things, IoT). The fields of medical health insurance and social welfare are the primary developing focuses of e-government. Government intelligence service strategy includes building multiple service environments, active deliver government information, centralizing resource for effective management, improving jointly interaction and trust, and effectively connecting social networks. The application of digital identification card already use in Taiwan few years. A investigate shows in this study. June 20th 2012, the amount of issued citizen digital identification card has reached up to 2960000 cards. This study expects there would be more service affairs to be transformed to web services. For achieving the goal of effectively improving the utilization rate and the amount of issued cards, this study aims to take the effect on publics into prior consideration. This study mainly analyzes the applied services of citizen digital identification launched by the government in order to realize the numbers of users, the average usage times per year, and applied items of follow-up conducting publics to explore the importance of and public’s satisfaction toward applied service performance. The descriptive statistics, cross-analysis, important performance analysis (IPA) method and recommended relevant strategies are adopted in this study. Although the government has achieved the initial goal concerning the effects of volume of circulation and the critical items (e.g. an income tax report) on public satisfaction and benefits, this study suggests that it would be more beneficial in mid and long term to encourage the integration of citizen digital identification with B2C e-business, ID and health insurance card, and digital permit with, taking European Union’s ID as reference. The expectation is to let citizen digital identification application gradually embed in citizen’s daily life (e-butler). The results of this study can provide government with useful references for continuous improvement strategies with citizen digital identification.
A Radar Intelligence Simulation Method Based on Data Mining Techniques
Authors: Wu Xiao Chao , Cheng Ying , Yan Liao Liao , Xue Fang Xia
Published: December 2012

A new method to generate radar air intelligent information by using data mining techniques based on historical radar data is proposed. This method has two stages: One is “filtering separation - piecewise fitting - feature clustering". In this stage, the radar historical data is divided into the actual true track and noise. Through computing the second-order discrete curvature, the actual true track is decomposed into several segments, such as straight line and arc, which are fitted with multinomial subsequently. On this basis, after analyzing the characteristic vector of radar historical data, the clustering database is established; the other is “feature association-track recombination”. The track in pre-deigned air scenario is segmented by the second-order discrete curvature. After the correlative feature information of the segmented scenario is searched, matched and associated with the information in clustering database, a new track will be restructured by using this output results. This method is very available for its effective application in simulation test-bed of C3I system.
Design of Embedded Catering Service Terminal Based on ARM
Authors: Cui Lin Lin , Lai Hua , Qi Ming Jie , Ge Wen Qing
Published: December 2012

To improve the level of informatization and digitization of catering industry， an embedded service terminal based on a combination of ARM, 802.11b WLAN wireless communication technology and touch screen technology is proposed. The terminal includes three parts, order system server, order system terminal and a part to display operating room .Mini2440 development board of the Friendly arm company is used as underlying hardware for the client. Plat of software is embedded Linux operating system. At the same time, USB wireless network card is connected to order system server. It provides a comprehensive solution for the catering industry’s fully digitization. Experiments show that system runs stably, has friendly interface.
Design of Measurement and Control System of Facilities Vegetables Based on Internet of Things
Authors: Gong He , Yu He Long , Chen Gui Fen , Wen Zhu
Published: December 2012

According to the construction situation of intelligent greenhouse in Agriculture Internet of Things in China, designed a measurement and control system of facilities vegetables based on Internet of Things. This design used JN5148 module as the core and applied JenNet stack to set up a wireless network. The environment factors, including temperature and humidity, light intensity, CO2 concentration and so on can be monitored in real-time, at the same time, shutter and water pump were also remote controlled through the GPRS gateway. The test result shows that this system operates stable, measures and controls precisionly, cost low electric quantity and better meet greenhouse environment monitoring and control system applications demand. Introduction
Research of Freight Intelligent Detection and Contingency Command System
Authors: Wu Xiao Dong , Bao Pin Xin
Published: December 2012

Some special freight need monitor particularly on transportation. By detecting state of cargo in time, raising the alarm and giving contingency command, the accident can be prevented effectively and the destructive power can be controlled. The framework of freight intelligent detection and contingency commanding system is proposed, which contains four sub-system, cargo identification system, cargo state detection system, cargo contingency commanding platform and cargo public data service platform. The structure and mechanism of main function of these sub-systems are analyzed based on their function.
An Iterative Method for Mixed Equilibrium Problems and Fixed Points
Authors: Jiang Qiao Hong
Published: December 2012

Fixed point computation plays an important role in the field of engineering calculation. Rounding errors often cause no convergence for iteration sequence or results distortion in many fixed point iterative method. In this paper, we prove the strong convergence of an iterative method for finding a common element of the set of olutions of mixed equilibrium problems and the set of fixed points of a finite family of nonexpansive mappings under some suitable conditions. Result presented in this paper improves and extends the recent known results in this area.
Researches and Designs of Middleware Data Acquisition Function of Internet of Things
Authors: Sang Lei , Long Duo
Published: December 2012

The Internet of things covers many aspects such as the electronic tag reader research, the Internet of things software research and the e-commerce research, etc. The SAVANT middleware is one of the key issues of the study. Based on electronic product code, radio frequency identification technology and system description middleware technology, this paper focuses on research and design of the Internet of things middleware system to solve the problem of data acquisition.
The Prospect of the Internet of Things
Authors: Li Yun Hong , Liang Gao Ming
Published: December 2012

The Internet of Things(IOT) is used very widely in various of fields, it brings great convenience to people and promotes social civilization and progress. Focused on the development of IOT and some key technologies which are applied by it, and pointed out its trend of development.
Research of Drop and Pull Transport System Based on Internet of Things
Authors: Li Jun Tao , Zhang Li Wei
Published: December 2012

Domestic Drop and Pull Transport Mode exists several problems like slow development, disordered organization and low degree of informatization, which making the low efficiency of transportation management. This paper design an intelligent system which is based on IOT technology to realize the cargo tracking, intelligent traffic, logistics information service and carry on a visualization logistics operation service through the whole cargo flow. Finally realize the synergy between intelligent storage and intelligent transport, improve the logistics service.
Efficient NFC Tagging Pattern-Based Contents Recommendation for Museum Viewers
Authors: Seo Yoon Deuk , Ahn Jin Ho
Published: December 2012

As various ubiquitous computing technologies become applied into many smart space systems, most museums attempt to use these techniques for their own domain. Near Field Communication(NFC) is one of wireless technologies primarily used for short range communication between smart phones and similar devices, supporting a variety of information exchange services in some effective way. In this paper, we present a new user similarity-based contents recommendation service to improve the counterpart of our previously developed museum viewing system by using NFC. In order to satisfy this goal, this service utilizes similarity of artifact attached NFC tagging patterns of users. Its desirable feature enables users to actually find and obtain their favorite contents by systematically consulting the tastes of the other users very close to those of the first. Also, the proposed system may considerably reduce overloading on contents providing servers by having smart phone clients get certain parts of basic artifact related contents information directly through NFC tags, not the servers.
Design of RFID Reader Based on Protocol of ISO/IEC 15693
Authors: Wang Lu
Published: December 2012

In recent years, the technology of RFID developed rapidly, and has been used more and more widely. In this paper, using the Texas Instruments semiconductor chip of TRF7960 and the single-chip microcomputer of PIC16F877, a new design scheme of RFID reader is proposed, which conforms to ISO/IEC 15693 standard. The reader operates in 13.56MHz and can identify the tags in about fifteen centimeters. The hardware design and the software flow are provided in detail. Test results present that the functions of anti-collision and multiple tag identification are supported in this reader, it has high accuracy ratio when reading and writing tag.
Research on the Coding and Decoding Technology in ISO/IEC 14443 TYPEA of RFID
Authors: Wen Wu Song , Wang Lu , Cao Long Han
Published: December 2012

In order to solve the problems of lack of design flexibility, not easy to self-development and involving the intellectual property rights, when adopting special RFID chips in the design of ultra-high frequency radio frequency readers, in this paper, based on analysis of the communication signal interface of protocol ISO/IEC 14443 TYPE A, a trial-and-error method for realization of sending the data with Modified Miller code is put forward, and a new decoding method for Manchester is designed, by combining a RFID analog front end(AFE), the RFID reader can be easily developed. Test results present that the coding and decoding methods can well meet the requirements of ISO/IEC 14443 TYPE A, with high efficiency, stability and accuracy rate.
Research on Application of Internet of Things on Intelligent Traffic Safety early Warning
Authors: Hong Ru Xia
Published: December 2012

In order to avoid potential traffic dangers, as well as to prevent the occurrence of traffic accidents, this paper manages to build a traffic safety early warning system by using Technology of Internet of Things. First, this paper has a general review of related researches. Then, it analyzes basic structures of intelligent traffic safety early warning systems based on Technology of Internet of Things, and establishes data collection and calculation model for traffic flow, following with analysis of traffic safety early warning and responding technologies. Finally, this paper conducts a simulation analysis, the results of which indicate that the said method proposed by this paper has a better robustness.
Design of School Bus Safety Regulation System Based on the Internet of Vehicle Technology
Authors: Duan Xiao Hui , Wang Xun
Published: December 2012

How to build a school bus safety regulatory system consistent with China by using internet of vehicle technology was discussed in the concept of intelligent application and design. The system which was based on vehicle intelligent networking technology provided a reliable system to protect the safety supervision of the school bus. The composition and function of two ingredients of the school bus safety regulation system as the 3G bus intelligent vehicular terminal and the high-speed moving objects data acquisition sensor platform were amply introduced.
Efficient Intrusion Detection for High-Speed Networks
Authors: Ma Gao Long , Tang Wen
Published: December 2012

With the great increasing of high-speed networks,the traditional network intrusion detection system(NIDS) has a serious problem with handling heavy traffic loads in real-time ,which may result in packets loss and error detection . In this paper we will introduce the efficient load balancing scheme into NIDS and improve rule sets of the detection engine so as to make NIDS more suitable to high-speed networks environment.
Fully Secure Ciphertext-Policy Attribute-Based Encryption in Prime Order Group
Authors: Lu Song Feng , Zhang Yu , Sun Jie , Yang Liping
Published: December 2012

We present a fully secure ciphertext-policy attribute-based encryption (CP-ABE) scheme in prime order group by using a tool which can convert composite order paring-based encryption scheme into prime order one. Although, a fully secure CP-ABE scheme in prime order group has been proposed recently, our scheme needs less master secret key size and can be seen as a different version of it. Besides, the sketch of our scheme's security proof is also given.
Improvement of a SIP Security Mechanism
Authors: Liu Long Tao , Tang Wen
Published: December 2012

SIP is one of the mainstream protocols in the VoIP. A majority of SIP’s security mechanism only provides a single direction authentication from server to client such as HTTP digest authentication. To improve the present situation, a new security mechanism of SIP based on the improved HTTP digest authentication is put forward in this study. This improved security mechanism not only provides a double direction authentication between the server and client but also reduces the expenses of the server and increases the authentication efficiency thanks to its low computational complexity.
Urban Trunk Traffic Flow Analysis and System Simulation in Jinhua City
Authors: Yang Qing , Sun Sheng Nan , Qiu Xin
Published: December 2012

This study surveyed and collected the urban trunk traffic flow data of Bayi South/North Street in Jinhua. The section between two crossings-- Fengting Rd. VS Bayi North St. and Huixi St. VS Bayi North St. (World Trade Hotel) was set as a representative example. It analyzed sections and intersection traffic flow characteristics at the weekday evening peak hour (5:00 to 6:00 pm), evaluated the congestion situation, proposed the further improve measures. Then the effectiveness of the promote measures were evaluated by applying software VISSIM simulation of trunk road traffic. The results will benefit to raise the urban trunk traffic system capacity, better the traffic jams situation, optimize transportation planning and management measures, and further the sustainable development along the urban trunk.
Research on Company-Oriented General Authenticated Encryption Threshold Scheme
Authors: Shang Yu Lian , Yang Guo Qing , Zhang Lan Hua , Zhang Yu Fei
Published: December 2012

Based on ElGamal system, a general authenticated encryption scheme characterized by (k, l) joint verification was put forward through integrating (t, n) threshold signature scheme and message recovery technique together. After being signed by any t ones from a company with n members, message m was transmitted to a particular verifier company with l members, and then recovered through the cooperation of any k ones from the verifier company, so as to realize a directional transmission between different companies. The security of this scheme is based on threshold scheme of Shamir and ElGamal system, and the scheme enjoys the characteristics of lower bandwidth and reduced communication cost, etc.
V-Detector-Based Immune Negative Intrusion Detection Algorithm
Authors: Wan Lin
Published: December 2012

Research the problem of intrusion detection in network security. For the defects that existing intrusion detection system can't recognize unknown attacks, to improve the detection efficiency and reduce false alarm rate, this paper basing on V-detector immunity negative intrusion detection algorithm, bring up an adaptive variable radius detector. In the training stage, randomly generate candidate detector with different detection threshold. In the testing stage, according to the size of hole and detection accuracy automatically adjust the radius of the detector. The experiment and the data of KDDCUP1999 show: under the circumstance of the same number of detector, compared with V-detector, this detector has higher coverage, less hole.
A Bezier Curve Based Key Management Scheme for Hierarchical Wireless Sensor Networks
Authors: Shen Yong Luo , Zhang Jun , Yang Di Wei , Luo Lin Bo
Published: December 2012

In this paper, we propose a novel key management scheme based on Bezier curves for hierarchical wireless sensor networks (WSNs). The design of our scheme is motivated by the idea that a Bezier curve can be subdivided into arbitrarily continuous pieces of sub Bezier curves. The subdivided sub Bezier curves are easily organized to a hierarchical architecture that is similar to hierarchical WSNs. The subdivided Bezier curves are unique and independent from each other so that it is suitable to assign each node in the WSN with a sub Bezier curve. Since a piece of Bezier curve can be presented by its control points, in the proposed key management scheme, the secret keys for each node are selected from the corresponding Bezier curve’s control points. Comparing with existing key management schemes, the proposed scheme is more suitable for distributing secret keys for hierarchical WSNs and more efficient in terms of computational and storage cost.
A Digital Watermarking Algorithm of Color Image Based on Wavelet Transform
Authors: Wang Yan Min
Published: December 2012

This paper presents an algorithm by embedding a digital watermark into an original color image. Considering the characteristics of HVS, YUV color space is employed, this algorithm presents a new adaptive digital audio watermarking based on discrete cosine transform. The result of the experiment shows that the proposed algorithm has good robustness against various image processing and attacks, good invisibility and stability.