bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on the Broadcast Beam-Forming of Smart Antenna by the Method of Baseband-Amplitude-Weighting
Authors: Fu Hai Yang , He Hong Gang , Jia Xiang Dong
Published: August 2013

In reality, wireless communication channels are designed to serve for multiple users while multipath propagation interference (MPI) and other problems are deteriorating the quality of service, especially when modern wireless communication demands higher data rate giving that less and less radio spectrum resources are available. Compared to conventional techniques trying to solve the related problems, smart antenna (SA) may have shed new light on the solutions of these issues. The forming of broadcast beam of SA is studied in this paper. Firstly, the mathematical formulas for the forming of directional broadcast beam by the method of baseband-amplitude-weighting are derived, according to which the corresponding circuit diagram is given. Then the forming method for broadcast beam for SA by combining several directional radio beams is presented. Moreover, the computer simulation results of SA with 6 array elements are provided to demonstrate the accuracy and achievability of this beam-forming method.
The Design and Implementation of Forecasting and Application System for Wind Power
Authors: Ma Wei Qing , Jia Zhi Yi , Bai Zhi Guo , Mu Zhao Xi
Published: August 2013

With the extensive use of wind power, how to predict wind power effectively, to ensure the security, stability and economic operation of grid-connected wind power becomes a serious problem for the electronic companies. Based on the analysis about the status of wind power forecasting and application, the article designs a set of wind power forecasting and application system aimed at the security, stability of grid-connected wind system, which is described from the ideas of construction, software architecture, and development of hardware.
Experimental Research on the Condensation Air Blower of Overhead Automobile Air-Conditioning
Authors: Di Min Yan , Yao Yong , Di Dan , Lu Yu Xia
Published: August 2013

It describes the types,the existing problems and three improved methods on the condensation air blower of roof-mounted automobile air-conditioning. It details a specific method, a practical circuit and the experimental results of the sensorless BLDC motor for condensing blower based on dsPIC30F4011 control,. According to the need of the current States on automatically climate air conditioning system (ACC system) , and the features of the roof-mounted automobile air-conditioning, we think it is more reasonable,the dsPIC30F4011 and the sensorless BLDC motor can be used for the the condensation air blower of automobile air conditioning.
Design of a Wireless Sensor Network Node Based on STM32
Authors: Sun Yu Jia , Wang Xiao Ming , Jia Fang Xiu , Yu Ji Yan
Published: August 2013

The characteristics and the design factors of wireless sensor network node are talked in this article. According to the design factors of wireless sensor network, this article will mainly point out the design of wireless sensor nodes based a Cortex-M3 Microcontroller STM32F103RE chip. And the wireless communication module is designed with a CC2430 chip. Our wireless sensor node has good performance in our test.
The Design of Wind Power Converter Based on LCL Filter
Authors: Xie Zhen , Zhang Yang , Shi Quan Li
Published: August 2013

As to the output current of grid inverter in high-power wind power generation system contains large current harmonic, the solution is to introduce the LCL filter to replace the typical inductance filter in grid inverter, which brings instability to the system, thus the control strategy is to use the grid inverter current indirect control combined with the grid voltage feed forward compensation. A 15KW wind power simulation platform is constructed. The experimental results show that the grid converter can run stably, and also have a better dynamic and static performance.
CRC Algorithm in Computer Network Communication
Authors: Liu Bai Ming , Wei Wei
Published: August 2013

This article has analyzed the insufficiency of the traditional teaching administration system, proposed that through inserts the way of regulation storeroom to realize in the procedure active database-based the teaching administration system, through the practical research showed that this system can provide the real-time, all-round service on own initiative, and active service mechanism is highly effective, feasible
In this paper, it studies one of the error check cont rols of the communications of computers network . Cyclic Redundancy Check ( CRC ) . It introduces the principle of CRC, the algorithms of CRC, the algorithms analysis of CRC, the program of CRC and the functions & features of CRC. The algorithms of CRC need not to design circuit of hardware in addition. It improves the speed of the communications of computer s network an d checks the message correctly.
Robust Memory Gradient Blind Equalization Algorithm Based on Error Sign Decision
Authors: Han Fang Fang , Xu Guo Qiang
Published: August 2013

As CMA blind equalization algorithm based on stochastic gradient descend method has slow convergence rate and big steady state residual error, a robust memory gradient blind equalization algorithm based on error sign decision was proposed. Compared with stochastic gradient algorithm, memory gradient algorithm can make full use of the iteration gradient information of current and last step to accelerate convergence speed and effectively avoid the error convergence algorithm to a certain extent. However, transient noise interference may result in inconsistent direction of current iteration gradient information and last step that may cause the algorithm unstable, if the iteration error sign decision of current and last step is consistent then adopts memory gradient stochastic gradient descent algorithm, this method can ensure the robustness of memory gradient algorithm .The computer simulation results prove the validity of the algorithm.
Research on Mobility Management Based on MIP Table in Mixed IPv4/v6 Networks
Authors: Xiang Zheng , Ma Zheng Ming
Published: August 2013

IETF has specified Mobile IPv4 and Mobile IPv6 in RFC3344 and RFC3775 respectively, but not yet discussed Mobile IPv4/v6 in any published RFC. This paper proposes a scheme to solve one of Mobile IPv4/v6 problems which Home Agent (HA) locates in IPv6 network, and Correspondent Node (CN) locates in IPv4 network, while Mobile Node (MN) moves within IPv4 network. In the solution, a gateway called Mobile IPv4/v6 translation gateway (MIPv4/v6-TG) is introduced to bridge between IPv4 network and IPv6 network, which is made up of a traditional NAT-PT gateway and a Mobile IP application level gateway (MIP-ALG) built upon the NAT-PT gateway. MIP-ALG maintains a MIP table, a data structure, which is formed by entries. We use the MIP table to realize the communication between the IPv4 entities and the IPv6 entities. The creation, usage and update processes of MIP table are described in this paper. And it can work compatibly with RFC3344 and RFC3775.
A Dynamic Round-Robin Packet Scheduling Algorithm
Authors: He Yong , Gao Lei , Liu Gui Kai , Liu Yu Zhen
Published: August 2013

This paper puts forward a new dynamic round-robin (DYRR) packet scheduling algorithm with high efficiency and good fairness. DYRR algorithm introduces dynamic round-robin concept, that is, the allowance given to each of the flows in a given round is not fixed, but is related with the number of bytes sent of this and other flows of the last round scheduling. The time complexity of the DYRR algorithm is O(1). Results from performance simulation analysis shows that DYRR algorithm can effectively smooth output burst, realize fair scheduling, and have a good time delay characteristic.
A Heart Sound Segmentation Method Based on Cyclostationary Envelope
Authors: Li Ting , Qiu Tian Shuang , Tang Hong
Published: August 2013

Segmentation is generally an important prior process to automatic analysis of heart sounds. The proposed algorithm achieved this in separated cycles. First, the cyclostationary envelopes of heart sound signals are calculated. Second, a threshold is chosen to separate S1 and S2. The segmentation is automatic, and robust to noise. It can identify S1 and S2 correctly even under the circumstance of noise and interference. No reference signal is needed for this segmentation. It was tested by the heart sounds of 20 subjects including 15 normal and 5 abnormal in various clinical cases (715 cycles in total). The statistics showed over 96 percent correctness for segmentation.
Multiple Giant Clusters in Percolation of Random Networks
Authors: Zhang Yang , Guo Bing Hui , Zheng Zhi Ming
Published: August 2013

Classical percolation processes on random networks always have only one giant cluster after the transition. Recently, percolation with multiple giant clusters has been observed and attracted much attention. In this paper, we show three simple but different models which would lead to multiple giant clusters. The evolution of these models is discussed respectively and they are supported by numerical simulations. The study of these new models may present a deep understanding of the emergence of multiple giant clusters in random networks.
Automatic Diagnosis for Composite Web Service in Cloud Computing
Authors: Jia Zhi Chun , Chen Rong , Xu Jun Jie
Published: August 2013

Cloud computing is becoming a popular and important platform for web service applications. With the advent of more and more service resources in cloud, it is a crucial challenge to build an effective diagnostic mechanism. To improve the diagnosis capability for composite web service, we propose an automatic diagnostic framework and a hybrid diagnosis method for diagnosing the faulty activities. Our diagnostic framework can improve the scalability of diagnostic system and add the diagnostic capability of diagnosis service by decoupling the diagnostic service components. Our diagnosis method identifies the differences between successful and failed executions for finding the incorrect activities of the composite service and provides faulty causes by considering the structured activities in the process of diagnosis. Experimental results show that our method is effective to the composite web service in the fault diagnosis.
The Application of Artificial Intelligence in Ocean Development: In the View of World Expo 2010
Authors: Yu Yang , Cheng Zhen Xing
Published: August 2013

Under the background of global ocean development, artificial intelligence has increasing importance which urges the improvement of traditional research and exploration methods. Marine applications of artificial intelligence have been further practiced and expanded by Shanghai World Expo, which reflect in at least three major areas: firstly, the foundations of technical thought kernel, network expansion and intelligent navigation are laid in Maritime Internet of Things; secondly, in the field of far-reaching sea exploration, unmanned probe (deep-sea robot) relied on artificial intelligence technology has gradually become a major force in international competition; thirdly, as an ocean information and management comprehensive integration platform, digital ocean is applied to crack ocean information solitary island, jumbled information and other difficult problems through cooperation development, function integration and affinity services, enhancing the public ocean consciousness.
Analyse of the Mixed-Integer Nonlinear Programming Method for the Application in the Cellular Network
Authors: Zong Shan , Liu Bing
Published: August 2013

This paper discussed several methods to maximize the sum of the data rate. After the analysis of the graphic algorithm, we found the difficulty of the determination of the variables. To solve the problem, we propose a new idea to operate the variable and proved it to be efficient in the simulation results.
Improved Slope One Algorithm Based on Time Weight
Authors: Jiang Tong Qiang , Lu Wei
Published: August 2013

Collaborative filtering is regarded as the most prevailing techniques for recommendation system. Slope one is a family of algorithms used for collaborative filtering. It is the simplest form of non-trivial item-based collaborative filtering based on ratings. But all the family of use CF algorithms ignores one important problem: ratings produced at different times are weighted equally. It means that they cant catch users different attitudes at different time. So in this paper, we present a new algorithm, which could assign different weights for items at different time. Finally, we experimentally evaluate our approach and compare it to the original Slope One. The experiment shows that the new slope one algorithms can improve the precision
Monitoring Point Configuration of Gearbox Based on EEMD and VPRS
Authors: Liu Hui Ling , Pan Hong Xia , Wang Ai Yu
Published: August 2013

To gain the sensitive fault information, proper sampling point configuration is essential and important. A method based on ensemble empirical mode decomposition and variable precision rough set is proposed to optimize the monitoring points in the gearbox fault diagnosis system. First, the vibration signal was processed by ensemble empirical mode decomposition, the energetic characteristic vector can be got by the intrinsic mode functions. Samples in different conditions constructed the decision table, each monitoring point corresponded to a decision table. Second, the approximate dependence values of condition attributes to decision attributes of every monitoring point were got by variable precision rough set. Finally, the importance of the sampling points was achieved by the approximate dependence value. The experimental results show the method is effective and feasible for the monitoring points configuration, and it can minimize the impact of noise as well as improve the efficiency and accuracy of the fault diagnosis system.
A Cross-Platform and Context-Aware Middleware Application
Authors: Liao Zhen , Zhao Jing Ling
Published: August 2013

Nowadays, context-aware applications have become a hot research field. However, many context-aware applications dont fully connect to the characteristics of the Internet and the developed applications are limited by the platform, thus, the cross-platform deployment cant achieve. This paper presents a mechanism which can shield the difference among terminal operating systems andgather, store, and interpret the context information on the same smart terminal,based on the research achievements about the arithmetic of context-aware and the design of the cross-platform and context-aware middleware. To some extents, this frame can not only lessen the developers workload and avoid duplication of effort, but also speed up the applications development time and reduce the power consumption of mobile terminal.
Feature-Level Fusion of Dual-Band Infrared Images Based on Gradient Pyramid Decomposition
Authors: Qu Xiu Jie , Zhang Fu , Zhang Ying
Published: August 2013

Infrared thermal imager has been widely used in the fields of missile guidance and flaw detection. To identify the target clearly, the advanced one adopts dual bands sensors to capture images. Since of that, there is an urgent need of a fusion of the dual-bands images. The fused result includes much more exhaustive information than any single one, and can better reflect the actual. Among the algorithms used to fuse the dual-band infrared images, the weighted algorithm is the most widely used and easiest to be achieved. Nonetheless, its effect is not desired. We extract the features of the source images and make a fuse based on them on the feature-level. To get a better result, in this paper, the fusion strategy based on the Gradient pyramid transform has been mainly adopted. Meanwhile, there is a comparison with the weighted algorithm. Also, it makes an evaluation and analysis to the experimental data, and finally obtains the desired results.
Training Data Reduction and Classification Based on Greedy Kernel Principal Component Analysis and Fuzzy C-Means Algorithm
Authors: Liu Xiao Fang , Yang Chun
Published: August 2013

Nonlinear feature extraction used standard Kernel Principal Component Analysis (KPCA) method has large memories and high computational complexity in large datasets. A Greedy Kernel Principal Component Analysis (GKPCA) method is applied to reduce training data and deal with the nonlinear feature extraction problem for training data of large data in classification. First, a subset, which approximates to the original training data, is selected from the full training data using the greedy technique of the GKPCA method. Then, the feature extraction model is trained by the subset instead of the full training data. Finally, FCM algorithm classifies feature extraction data of the GKPCA, KPCA and PCA methods, respectively. The simulation results indicate that the feature extraction performance of both the GKPCA, and KPCA methods outperform the PCA method. In addition of retaining the performance of the KPCA method, the GKPCA method reduces computational complexity due to the reduced training set in classification.
A Context-Aware Member Clustering Algorithm Based on Ant Colony and Genetic Optimization for P2P Mobile Social Network
Authors: Cao Huai Hu , Zhang Yan Mei
Published: August 2013

t is one of important topics in social network research how to form member clustering according to potential social relations by automatic context-aware the user's behavior feature. This paper presents a context-aware mobile P2P social network framework, member clustering model and algorithm. The user's location information, environmental characteristics etc. are introduced to the clustering algorithm, which intelligently cluster to potential P2P social network. The experimental results show that the proposed approach and the algorithm have a higher response speed, load balance and adaptive ability.
A QoS-Aware Scheduling Algorithm Based on Service Type for LTE Downlink
Authors: Fu Wei Hong , Kong Qing Liang , Tian Wei Xin , Wang Cheng , Ma Li Li
Published: August 2013

In this paper, a resource scheduling algorithm for Long Term Evolution (LTE) downlink is proposed. It provides Quality of Service (QoS) guarantee to Guaranteed Bit Rate (GBR) services and also suit to the Non Guaranteed Bit Rate (Non-GBR). Different services possess different QoS needs in LTE system, based on this, 3GPP divide them into several types. In view of the division, we set priorities for different kinds of services to guarantee the transportation of GBR services which have high QoS needs. At the same time, we take the Media Access Control (MAC) layer logical channel priority into account, and consider users channel quality to acquire a higher cell throughput. Simulation results show that our scheme can improve the QoS of emergency services obviously at the cost of a certain amount of the non-real times.
Internet of Things Key Technologies and Architectures Research in Information Processing
Authors: Shi Yan Rong , Hou Tao
Published: August 2013

The Internet of things is the key strategic application in the twelfth Five-Year plan of emerging technology industries in China. This paper introduces the basic concepts of Internet of things, proposes a three-layer model development platform based on the International Telecommunication Union (ITU) specification, and describes the key technology and architecture in the platform, and gives smart home application development based on the platform.
A Novel Fingerprint Image Preprocessing Algorithm
Authors: Fu Ming , Huang Jun , Xu Jun
Published: August 2013

Based on analyzing and experimenting a large number of the existing fingerprint image preprocessing algorithm, this paper presents a novel high-quality fingerprint image preprocessing algorithm. Taking full account of the inherent characteristics of the fingerprint image, the algorithm arranges overall features and local detail. The experiments show that it is a simple, efficient algorithm which can improve the quality of the fingerprint image, and lay a good foundation for the subsequent processing.
The Design and Implementation of Database on Library Management Information System
Authors: Zhai Hui , Shi Hui , Zhai Rui
Published: August 2013

The stand or fall of database design was related to an information management system was really practical. Analysis of user demand from the library management information system, the design and implementation of the database part in the system development process was discussed as a key point, and the concrete realization link was analyzed and discussed also.
Active Learning Based on Diversity Maximization
Authors: Wu Yong Cheng
Published: August 2013

In many practical data mining applications, unlabeled training examples are readily available but labeled ones are fairly expensive to obtain. Therefore, as one type of the paradigms for addressing the problem of combining labeled and unlabeled data to boost the performance, active learning has attracted much attention. In this paper, we propose a new active learning approach based on diversity maximization. Different from the well-known co-testing algorithm, our method does not require two different views. The comparative studies with other active learning methods demonstrate the effectiveness of the proposed approach.
Adaptive Dual Conjudate Gradient Projection Algorithm for Compressed Sensing Image Reconstruction
Authors: Yan Hai Xia , Liu Yan Jun
Published: August 2013

In order to improve the quality of noise signals reconstruction method, an algorithm of adaptive dual gradient projection for sparse reconstruction of compressed sensing theory is proposed. In ADGPSR algorithm, the pursuit direction is updated in two conjudate directions, the better original signals estimated value is computed by conjudate coefficient. Thus the reconstruction quality is improved. Experiment results show that, compared with the GPSR algorithm, the ADGPSR algorithm improves the signals reconstruction accuracy, improves PSNR of reconstruction signals, and exhibits higher robustness under different noise intensities.
SEA - Based Multi-Dimensional Space Description Model of Equipment Support Capability
Authors: Li Si , Gu Ping , Sun Wang Hu , Ma Shao Chuang
Published: August 2013

Aiming at the traditional methods of research equipment support capability to the lack of scientific quantitative description of the overall support capability, It builds the multi-dimensional space description Model of equipment support capability based on SEA Initially, introduces the basic idea of the modeling, analysis the equipment support ability of model generating method, focuses on the study of building the basic process and form, and puts forwards the calculation model of the whole description of equipment support ability.
The Study of Stage Assessment Scheme of Programming Courses Based on Experiment
Authors: Zhao Dan Dan , Xie Chun Li , Song Hai Yu
Published: August 2013

Through analyzing the problems in the assessment of computer programming courses, a stage assessment scheme based on experiments is presented in the paper. Experimental arrangement is consistent with theoretical progress, and experiment subjects are established according to theory course units in this scheme. At the same time, the result of the experiment is used to verify the study of the course. The proposed scheme improved the reliability and effectiveness of examination and assessment. Teaching effect is better than before and the professional quality of students is improved.
Design and Application of a Policy-Driven Interactive Security Model
Authors: Guo Rong Hua , Zhou Ying , Zhang Yu Han , Bai Yong Qiang , Du Jia Wei
Published: August 2013

t is difficult to build a perfect security system due to passive protection methods or isolative security devices. Principles of several interactive models are analyzed at first. And then a policy-driven interactive security model, which implements an integrated security system between many devices by the interactive policy, is proposed. At last, some application patterns of the model are discussed in a typical network.
An Improved Algorithm Based on LEACH Protocol
Authors: Liu Wei , Wang Le Le
Published: August 2013

In this paper, taking into account the shortcomings of wireless sensor networks, LEACH algorithm, the algorithm has been improved on this basis. The design of the E-LEACH algorithm, which extend the network lifetime, improve node energy utilization, and the effectiveness of this algorithm through simulation experiments.
Multi-Focus Image Fusion Using Curvelet Transform
Authors: Li Yong
Published: August 2013

Curvelet transform is a new muiti-scale geometic analysis, which has the characteristics of anisotropy. It is more suitable for the analysis of image curve edge characteristics than wavelet. Thus, in this paper it is applied to multi-focus image fusion, and used fusion rules that suitable for the characteristics of multi-focus image fusion.
A Method of Opinion Tendency Analyzing Based on Regular Expression
Authors: Wang Zhi Juan
Published: August 2013

Negative Internet information is harmful for social stability and national unity. Opinion tendency analyzing can find the negative Internet information. Here, a method based on regular expression is introduces that neednt complex technologies about semantics. This method includes: building negative information bank, designing regular expression and the realization of program. The result gotten from this method verified it works perfect on judging the opinion of the web pages.
A Fuzzy Adaptive PID Control Method for Stabilized Tracking System
Authors: Hu Hong Jie , Zhang Chao , Wu Ye , Wu Xiong Jun
Published: August 2013

Stabilized tracking platform is one of the most important part of modern tracking system, which can isolate disturbance, keep attitude reference, and rapidly realizes the identification and tracking of maneuvering target through the image equipment. Currently, the common method of capturing tracking object is to select proportional-integral-derivative (PID) controller parameters in view of the zones of the different miss-distance, which therefore exists the problem of optimizing a PID controller. This paper firstly builds a physical model of the tracking system, and then designs an adaptive fuzzy logic controller (FLC) for tracking loop, where a Mamdanis min-max fuzzy reasoning principle is used to adjust controller parameters. The simulation result shows that the proposed method can obviously improve the stabilized tracking platforms performance in the accurate and fast tracking ability rather than conventional controllers in the stabilized tracking platform.
Website Information Extraction Based on DOM-Model
Authors: Lou Ya Fang , Zhang Yi Chong , Yuan Zhi Jun
Published: August 2013

With the rapid development of network technology and the promotion of application, web has become the main platform of the issuing and accessing information. It is current research focus, how to obtain the information required by the user from the vast information source. This paper presents an extraction method of website information based on DOM to improve the searching efficiency, which only to preserve the theme information and to filter out the noise information that the users are not interested in.
Subnet Broadcast Polling Algorithm of Network Management Based on SNMP
Authors: Huang Mei Gen , Wang Zhi Lei
Published: August 2013

The current data collection of a network device in the network management system exists low real-time and long polling cycle, this paper proposes a subnet broadcast algorithm based on SNMP. The algorithm introduces the idea of Subnet division and broadcasting, when polling, the algorithm polled network devices by sending a SNMP data broadcast packet to each subnet, which reduced the polling packets, shortened the polling cycle and lightened the burden of management station, thus the proposed algorithm improves real-time and work efficiency for the large-scale network management system.
An Fast Refined Algorithm for Image Mosaic
Authors: Feng Yu Ping , Zhao Wen Cang
Published: August 2013

In order to improve accuracy and speed of image mosaic, an optimized algorithm of image mosaic based on corners is presented. Frequency phase correlation is used to estimate the overlapping area, in which improved Harris operator is used to extract corners. Then, rough and RANSAC accurate matching will be completed. Finally, image variance combined linear weight function is used to implemented image fusion and mosaic, and it presents quantitative analysis method about registration accuracy. Experimental results show that this algorithm exceeds existing ones at matching speed about 40%, and has a desired visual effect. The MAD and RMSE of corresponding points is within 1 pixel precision.
A Relation Oriented System Analysis Method
Authors: Zhang Xue Min , Bai Yan Qi , Liu Jie , Liu Zhong Peng
Published: August 2013

System analysis is a main part of military system simulation. Six-element analysis method is integrated the advantage of system analysis method for function and system analysis method for entity. This method analyses the system through its connotation, category, structure, function, state and operation. It provides an operable way to describe static character and dynamic character.
Research and Implementation Model Base System Platform Based on C MEX S-Function
Authors: Wan Ji Quan , Qiu Bao Mei
Published: August 2013

Modeling and simulation is more and more widely applied in the development of the control system. It is very difficult to maintain and transplant that control system model is Complexity, dedicated and variability. To solve that problem this paper put forward research and implementation model base system platform based on C MEX S-Function. model base system platform contain model development ,model management ,and model storage and so on function. C MEX S-Function has some advantages that contain flexible, easy to transplant, run fast, real-time code generation and so on. So practices have proven that this base system platform can reduce development circle, reduce development cost, has model reusability and portability better, laid the foundation for embedded real-time code generation.
Application of "3S" Technology in Surveying and Mapping in the Glaciers on the Qinghai-Tibet Plateau
Authors: Li Bo , Liu Hai Yan , Shi Xian Wei , Li Feng , Yu Tie Ming
Published: August 2013

Geographic Information System Technology, Global Positioning System Technology, Remote Sensing Technology, collectively known as 3S technology. In the information age, the technology is one of the important technologies for human changes in the Earth's sustainable development research. As the center of the content of the Earth Information Science, along with the surging trend of information technology, it has been a wide range of applications. Through the practical application of 3S technology, this paper maps on the glacier on the Qinghai-Tibet Plateau for a simple exposition.
Construction of Optimal Allocation System on the Edible Agricultural Products Components of the Nutrition and Health Care Based on Internet of Things
Authors: Wei Ming Hua , Yang Liu Qing , Zhou Qiao Ling , Zheng Jin Gui
Published: August 2013

In daily life, the nutrients taken from the food of the human body are often insufficient or surplus, which has a negative impact on human health and waste of agricultural nutrients as well. There is some catering software that can guide people about the intake of the nutrients at home and abroad, but they can only realize the analysis function, that is, tell the user that the nutrients intake is inadequate or exceed the standard. This paper constructs an optimal allocation system of the agricultural products components of the nutrition and health care based on internet of things, allowing people to use it at home or in the hotel. Based on the users free ordering meal, analyze and optimize the users meal according to different types of users with different matching allocation model, guide the user to adjust the meal to meet their nutrient needs, finally reach the purpose of users adjustment of the dietary structure.
Research of the Liquid Level Detection System for Integral Stereolithography System
Authors: Xu Guang Shen , Yan Da Hai , Wang Ya Ning , Ju Kong Liang
Published: August 2013

To improve the dimension accuracy of integral stereolithography (SL) system, the resin liquid level in SL system need controlled. Based on the measuring principle of laser triangulation, a laser liquid level detection system for SL system has been developed. The laser liquid level detection system consists of light source, Position Sensitive Detectors (PSD), PSD signal processing circuit and data acquisition system. According to the principle that electrical signal of PSD changes when resin liquid level vary, a PSD is employed to detect the liquid level height in the liquid level detection system. Confirmation experiment is conduct to test the accuracy of the detection system, and the experiment results indicated that deviation is 0.34% in the range of 6mm, and satisfy the accuracy requirement of integral SL system.
Research on the Architecture and Strategies of a Novel Software CDN
Authors: Duo Lin , Yu Wei , Liu Zeng Li
Published: August 2013

This paper proposed a new software-based Content Distribution Network (CDN) model. First, we overviewed some related technologies of CDN. Then, software CDN model was built, and the key strategies of load balancing, content distribution and file transfer were explored in the software CDN model. Also in this model, the load balancing algorithm based on load equilibrium with latency and the content distribution algorithm of the non-hot media based on Markov prediction were discussed in detail. Finally, an on-demand video system was designed to verify the feasibility of the proposed model.
CLUE-S Model-Based Simulation of Land Use Dynamic Variation in Yangzhou Urban
Authors: Wang Li , Cui Xi Min , Yuan De Bao , Zhao Yi , Hong Xue Qian
Published: August 2013

Land Use/Cover Change (LUCC) is a commonly concerned issue. The CLUE-S model was applied to Yangzhou urban area in this paper to simulate the land use spatial distribution in the urban area from 2003 to 2010. Combined with RS & GIS technology, three periods of remote sensing images were firstly preprocessed and three periods of land-use maps were obtained by means of object-oriented method. Then, corresponding model parameters were defined in the CLUE-S model to obtain the spatial distribution of land use of Yangzhou urban in 2003~2010. After that, the extracted and the simulated land use maps in 2007 were compared to evaluate the simulation accuracy. CLUE-S model can be used to simulate the distribution pattern of the development of smaller-scale regional urban space, to provide guidance for the smaller scale urban development planning, and is worthy of popularization and application of land use and land cover change model.
Analysis and Research of Problems Faced by Big Data Era
Authors: Li Lan
Published: August 2013

In this paper, the basic concepts of Big Data, as well as problems faced by Big Data research and corresponding research results were introduced. This research intends to provide references for the rapid processing of complex data and effective acquisition of useful information in Big Data Era.
Student Perceptions and Satisfaction with Online and Distance Learning
Authors: Liu Wen Hua
Published: August 2013

Online learning is more and more popular in colleges in recent years, but it still remains at a budding stage of its development. It needs more adjustment to meet the students requirements. So firstly, we should get more feedback or insight on how the students perceive and suggestions to online courses. By analyzing the problems with online learning, and basing on the literature review, this article gives the finding point and conclusion. And that is supposed to help both the instructors and the administrators decide if the school should continue their online learning programs.
Health Database Oriented Word Alignment for Machine Translation Based on Generalized Intersection
Authors: Wu Hong Lin , Wang Ke , Liu Yi Yang , Dong Cheng Jie
Published: August 2013

Health database oriented data analysis and processing is very valuable, and in which the word alignment plays an important role. Health database contains a lot of medical terms. The existing word alignment methods cannot perform well due to the deficiency of term dictionary. This paper proposed a method of word alignment between Chinese and Japanese for healthy database. The method is based on the generalized intersection upon the set form of the sentence-level aligned bilingual corpus. We use GI (generalized intersection) model to align words. The GI model includes an algorithm based on generalized intersection operations on word set, and uses special stop-word set to improve the recall further. The results of experiments indicate that the GI model performed well for the health database with huge amounts of medical terms, as well as the language pairs with less linguistic resource, such as Chinese and Japanese.
An Image Registration Algorithm Based on Improved SIFT Feature
Authors: Dong Yin Wen , Wan Luan , Shi Zhao Ming , Zhu Ming Lei
Published: August 2013

Aiming at there are long matching time and many wrong matching in the traditional SIFT algorithm, An image registration algorithm based on improved SIFT feature is put forward. First of all, through setting the number of extreme points in the feature point detection, feature points is found according to the DOG space structure from coarse to fine, and the improved SIFT feature descriptor generation algorithm is used. The preliminary matched point pairs are obtained by the nearest neighbor matching criterion, and the bilateral matching method is used for screening the preliminary matched point. Then, the second matching will be done by the similar measurement method based on mahalanobis distance, and RANSAC algorithm is used to calculate the affine transform model. Finally, the transformed image is resampled and interpolated through the bilinear interpolation method. Experimental results show that the algorithm can realize image registration effectively. Image registration technique is an important research content in computer vision and image processing in the, which are widely used in vehicle matching navigation and positioning, cruise missile terminal guidance, target tracking and recognition, image mosaic[1-6]. SIFT algorithm[3-5]can achieve image registration when there are translation, rotation, affine transformation between two images, even for images took by arbitrary angles. And SIFT feature is the milestone of local feature study. But there are long matching time and many wrong matching in the traditional SIFT algorithm, it is difficult to meet the requirement of fast image registration. This paper puts forward an image registration algorithm based on improved SIFT feature, which is robust for image rotation, affine and scale change, and is better than traditional SIFT algorithm.
A Ships Parameter Identification Arithmetic Based on Improved Ant Colony Algorithm
Authors: Liu Ting Wei , Wang Hong Bo , Dang Yang , Yang Shu Ren
Published: August 2013

In this paper, an Improved Ant Colony Algorithm is applied to the identification of the ship motion modelNomotos 1st-order nonlinear model. A robust method based on Ant Colony Algorithm is proposed for the optimization of the continuous function. The transfer criterion of the ants between each layer and global pheromone updating process are described. Some experiments results show that this method has good identification accuracy. The algorithm is feasible and effective, is of enormous significance to the system identification of ship motion.
Support Mechanism Design of Large Aperture Reflective Mirror for Large Temperature Variations
Authors: Hu Hai Li , Zuo Bao Jun , Dang Fan Yang , Xu Min Da , Fan Zhi Gang
Published: August 2013

Cold-background multitarget compounding system provides infrared targets for hardware-in-the-loop simulation system, in which large aperture reflective mirrors are employed. In this paper, we proposed a combined belt-back structure and designed the flexible connection to solve support mechanism of large aperture mirrors for 100K temperature variations. By Finite Element Method analysis, root mean square (RMS) of optimized mirror was better thanλ/40 under self-gravity and 100K temperature variations. By Zernike polynomial fitting, MTF of multitarget compounding system was over 0.5 and RMS spot diameter was less than 0.05mrad. Results demonstrated that the proposed support mechanism was effective and provided analytical data for 1m level mirror in large environment temperature variations.
A New Method of SAR Airdrome Image Edge Detection Based on Image Character
Authors: Li De Jun , Wu He Nan , Li Guan Zhong , Yang Guang , Cheng Li , Sun Xiao Rui
Published: August 2013

SAR image edge detection is one of the basic contents for SAR image processing and analysis, one of SAR airdrome image edge detection methods was advanced in the paper based on the basic character of SAR airdrome image through imaging theory and target statistical trait, SAR image pretreatment was realized by synchronously using median filter, image division and mathematics morphologic, at last SAR image was edge detected using Canny arithmetic operators.
A Two-Step Optimizing Algorithm for TOA Real-Time Dynamic Localization in NLOS Environment
Authors: Long Shan , Cui Zhe , Song Fei
Published: August 2013

Non-line-of-sight (NLOS) is one of the main factors that affect the ranging accuracy in wireless localization. This paper proposes a two-step optimizing algorithm for TOA real-time tracking in NLOS environment. Step one, use weighted least-squares (WLS) algorithm, combined with the NLOS identification informations, to mitigate NLOS bias. Step two, utilize Kalman filtering to optimize the localization results. Simulation results show that the proposed two-step algorithm can obtain better localization accuracy, especially when there are serious NLOS obstructions.
An Effective Method to Reduce False Alarms in Video Face Detection
Authors: Li Bing , Tang Yuan Yan , Wen Di , Zhang Zhen Chao , Ding Bo Yang
Published: August 2013

This paper briefly introduced the development of video face detection and point out the shortage of current face detection system that may produce much of false alarms. Then we detail the classic Viola face detector which using integral image, Haar-like features and AdaBoost algorithm for training. Compared with Viola face detector, we proposed an available multi-model fusion method to reduce false alarms in video face detection that is combining head-shoulder detector with HOG features. After introduced the related knowledge of HOG features, we proposed a fusion detector structure which can improve the accuracy and efficiency of detection.
The Research and Design of Intelligent Tutoring System in Intelligent Turtoring System Based on Campus Grid
Authors: Xia Yao Wen , Xie Ji Li , Lv Sai Dong , Tang Guo Hua
Published: August 2013

Grid technology has become the computer and network technologys research hotspot and frontier, Grid technology development and the consummation will promote the development of educational information. The intelligent has shortcoming which are resource isolated, update difficulty etc, Based on the grid technology research and application, using OGSA (Open Grid Services Architecture) grid system structure, Taking GLOBUS as the grid middleware to build grid platform. This paper discuss the educational grid minimum implementation unit - - teaching system of campus grid and put forward the network teaching system model based on the grid technology. Then establish a distributed, heterogeneous sharing information resources of the library, it provides an efficient, fully shared virtual teaching space for network tutoring system. Finally, intelligent network teaching system and the grid binding laid certain foundation.
Target Classification Using PAS and Evidence Theory
Authors: Jia Li , Yan Hai , Li Guo Hui , Zhang Hui
Published: August 2013

This paper presents a novel Dempster-Shafer evidence construction approach for aircraft aim recognition. The prior-probability of the properties of aircraft was used for establishing a probabilistic argumentation system. Dempster-Shafer evidence was constructed by assumption-based reasoning. Therefore, additional information could be provided to the classification of the data fusion system. Experiments on artificial and real data demonstrated that the proposed method could improve the classification results.
A Novel Method of Visual Attention for Targets Detection
Authors: Zhang Zhuo , Fan Xin Nan , Zhang Xue Wu , Xu Hai Yan , Li Min
Published: August 2013

Inspired by the research of human visual system in neuroanatomy and psychology, the paper proposes a two-way collaborative visual attention model for target detection.In this new method , bottom-up attention information cooperates with top-down attention information to detect a target rapidly and accuractly. Firstly,the statistical prior knowledge of target and background is applied to optimize bottom-up attention information in different feature space and scale space.Secondly, after the SNR of salience difference between target and interference is computed ,the bottom-up gain factor is obtained.Thirdly, the gain factor is applied to adjust bottom up attention information extraction and then to maximize the salience contrast of target and background.Finally, target is detected by adjusted saliency.Experimental results shows that the proposed model in this paper can improve the real-time capability and reliability of target detection.
The Research of Routing Algorithm Based on Shortest Path Tree in WSNs
Authors: Liu Yu Hua , Luo Zhen Rong , Xu Ke , Xu Cui
Published: August 2013

This article poses an algorithm of the hierarchical topology in wireless sensor network based on shortest path tree algorithm to cover the shortage of LAC Routing Algorithm (LAC-T), which based on SPT(Shortest Path Tree). LAC-T algorithm elects cluster head by the remaining energy of nodes and the distance between node and base station. Meanwhile, it uses SPT to communicate among cluster heads in WSNs. The result of stimulation shows that LAC-T algorithm is not only easy to achieve, but could be better balance the energy consumption of each node, extend the lifespan of WSN (Wireless Sensor Network).
Prototype Design of Self-Securing Portable Storage Device
Authors: Zhu Li Jue , Zhao Wen Tao , Wu Hui Jun , Liu Yong , Hu Zhao Ming
Published: August 2013

Embedding the security mechanism into the device is the core of self-securing, on purpose to provide the device with the ability of self-defense. Currently, security of portable storage device is commonly depends on the host, which makes the data easy to be attacked or stolen. Researches on self-securing mechanism on portable device are few. In order to improve the safety of those devices, we proposed the prototype design of self-securing portable storage device based on the framework of ARM+Linux. Combined with access control, intrusion detection based on storage and data encryption/decryption, it can protect data availability, integrity and confidentiality effectively. Since we have expanded researches on self-securing mechanism of portable storage devices, this prototype design is promising to be one kind of trend of intelligent storage.
Model of Intrusion Detection Based on the Game Theory
Authors: Xiao Heng , Long Cao Fang
Published: August 2013

With the development of network application, network security is facing greater pressure. Based on the characteristics of intrusion detection in the wireless network of the Ad hoc working group, the article introduces the game theory, proposes a game model of network security, concluds the Nash equilibrium in the stage game, repeats game, the pareto Nash equilibrium, more attack both income and payment, so that they get the best choice.