Computer and Modernization

Research and Implementation of Parallel Apriori Algorithm on Hadoop Platform

HAO Xiao-fei;TAN Yue-sheng;WANG Jing-yu

2013, 1(3): 1-4,8. doi:

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The traditional association rule Apriori algorithm and its defect are analyzed, on account of the serial algorithm are lower efficiency, high time complexity and the traditional parallel computing can not deal with node failure, it is also difficult to deal with issues such as load balancing, the parallel association rule algorithm based on the Hadoop platform is proposed, the traditional association rule Apriori algorithm has been improved and the implementation process of the improved algorithm based on the MapReduce programming model is given; the improved algorithm is tested on a single computer and clusters, experimental results show that the improved algorithm has a higher efficiency, better speedup and portability.

Research on 3D Object Recognition Algorithm Based on PCA and Moment Invariant

ZHONG Zhi-wei;XU Gui-li;WANG Biao;GUO Rui-peng;TIAN Yu-peng;LI Kai-yu

2013, 1(3): 5-8. doi:

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For the problem of real-time of target recognition algorithm based on moment is not high, and analyzes the application of the principal component analysis(PCA) in fast target recognition algorithm, this paper proposes the method based on the Jan Flusser affine invariant moments and PCA of fast recognition. By using the PCA in the Jan Flusser affine invariant moment feature space are optimized for dimensionality reduction, the method reduces the amount of calculation, and then some mainstream recognition algorithms are used to verify the real-time and accuracy of the method. The experimental results show that the method of real-time in Euclidean distance is increased 23.68%, the probabilistic neural networks is improved by 8.7%, the support vector machine is improved the accuracy of 21.01%, and only a small amount of reduction in accuracy, it does not change the recognition algorithm of the process. Meanwhile, it suits for three-dimensional object recognition under small angle change.

Application of Improved Ant Colony Algorithm for Quadratic Assignment Problems

YUAN Dong-feng;L Cong-ying

2013, 1(3): 9-11,1. doi:

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In order to solve the problems that the basic ant colony algorithm for solving large scale quadratic assignment has revealed defects, this paper proposes an improved ant colony algorithm. This algorithm adopts the global pheromone update strategy, the use of distance and traffic as heuristic information and the introduction of local optimization strategy. The optimal solution for each generation is to improve and further accelerate the convergence speed. For the quadratic assignment problem through three different types of problems, and improved ant colony algorithm with the basic ant algorithm and the hybrid genetic algorithm are compared, the experiments show that the improved method has better performance.

Prioritizing Dynamic Program Slices Based on Probabilistic Inference

XIA Jia-bin

2013, 1(3): 12-16. doi:

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In order to increase the productivity of the debugging process, this paper proposes a novel strategy for prioritizing dynamic program slices by automatically calculating the probability of correctness of each statement based on the dynamic slices. First, a runtime dependence graph of the observed program outcome is extracted. The next step is the transformation from the dependence network to a Bayesian network. Finally, run a probabilistic inference for the likelihood of correctness of the execution instances and estimates the corresponding correctness of the static statements. Programmers can administer a guided bug locating process using this ranking of correctness belief. The results shows that on average our tool rank the faults to 20.2% of the dynamic slices.

An Algorithm for Construction of Synopses over Data Stream Based on Sliding Windows

QU Fu-ping;WANG Kao-jie;L Yu-hua

2013, 1(3): 17-21. doi:

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Because of its limitless and high rate, data stream is always processed within a limited range such as a data window. On the other hand, construction of synopses for data stream is always a good choice to copy with the limitation of store space. This paper proposes an algorithm for construction of synopses over data stream basing on sliding windows, which takes advantage of the merit of windows technology and synopses. The basic idea of the algorithm is to divide data stream into equally-sized basic windows and represent the data elements of a basic window using reduced wavelet coefficients. For getting the synopses with optimal maximum absolute error, the algorithm defines a parameter to reduce wavelet coefficients using a greedy strategy. At last, the wavelet synopses of data stream with optimal absolute error are got. The practical application verifies the efficiency of the algorithm.

Research on Generalized Rough Sets Model Based on Covering

LIU Shuang

2013, 1(3): 22-24. doi:

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Generalized rough sets theory based on covering is extended by the Pawlak rough sets theory, it can deal with uncertainty, imprecise and incomplete information more resonable. This paper presents six type models of generalized rough sets theory based on covering, discusses the upper approximation operation and its properties for every model, and shows the relations among these six type models in the final, which can be treated as supplement and development of generalized rough set theory based on covering.

Application and Research on Intelligent Test Paper Generation System  Based on Improved Genetic Algorithm

BAI Dong-ling;GUO Shao-yong

2013, 1(3): 25-28. doi:

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Test paper is an important part of examination system, while genetic algorithm is commonly used in the examination system. This article makes an introduction of the goals and requirements of intelligent test paper generation and the corresponding mathematical model is built. The new method to the problem is found out by the new algorithm of GA (Genetic Algorithm) applied in the course of data structures. Experiments show that the algorithm effectively overcomes the precocious phenomenon of traditional GA and quickens the convergence speed. It can also improve the seeking the global excellence and increase the success rate of the test taper while ensuring the quality of the test paper.

Dependency Upper Approximation in Covering Rough Set

HUANG He-qing;CHEN Wen

2013, 1(3): 29-33. doi:

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Covering rough sets theory is an extension to classical rough sets. There are many ways to define covering rough upper approximation. Different points of view lead to different definitions in studying covering upper approximation. This paper proposes a concept called elements relationship, and by using the concept it defines covering rough sets upper approximation named element-dependent upper approximation. Different from other upper approximation, a dependency upper approximation is a definable set, and from the view of covering, it has the property of less covering-element numbers compared with other covering upper approximation.

Research and Implementation of Automatic Summarization Method Based on Ontology

ZHU Ping;FEI Ben-hua;FAN Shao-hui;WANG Hu

2013, 1(3): 34-37,4. doi:

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The traditional automatic summarization methods cannot work in the semantic level, a automatic summarization method based on ontology is proposed. Firstly, word features are mapped to concept features according to domain ontology, and then concept features weights and sentences weights will be adjusted, the last the important sentences can be selected and composed the summarization. The semantic analysis is added to the automatic summarization method which based on statistics. By using this method, the main content of the text can be more exact and easier to read. The automatic summarization experiments in the domain of bamboo and rattan prove that compared to traditional automatic summarization method, the accuracy of summarization has been greatly improved based on this method.

Research on a Chinese Name Indentification Method Based  on Family Name Drived and Statistcs

FANG Yu-ping;LUO Chen-hong;CHEN Ken

2013, 1(3): 38-40. doi:

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Indentification of Chinese names is field of unknown word in processing of Chinese information, but also it is important to process the feature of Chinese text. Aimed at general laws and characteristics of Chinese name composition, this paper proposes a method of hybrid Chinese name identification based on family name drived approach, which combines methods of statistcs. The method deals surname for driving, and uses it as a clue, combined with the statistical method to evaluation of the authenticity of the name.

Biscay Distribution Filtering with Correlated Noises

XU Zhong-gan;MENG Qing-sheng;ZHOU Yu-kun

2013, 1(3): 41-44,4. doi:

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Biscay distribution filtering (BDF) is an effectual method for interval estimation, it combines interval algorithm with Kalman filter (KF) estimation methods, and gets the states’ interval estimation. For a class of linear system with correlated noises, a new expression of the KF is given in this paper. On this basis, the equivalent BDF is deduced. Furthermore, this method is extended to nonlinear system. Compared with the traditional extended Kalman filter (EKF), brief complexity analysis and simulation examples show the effectiveness of the proposed method.

An Implemention of AES Algorithm in ASIC

SHI Ya-feng;ZHAO Yi-qiang

2013, 1(3): 45-49. doi:

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In order to ensure the security of information systems, an ASIC implemention of AES based on Chartered 0.35um CMOS process technology is shown. The Verilog HDL of AES algorithm is developed after the architecture design and module partition. The function simulation results demonstrate that the design works well. Finally, the physical design of the cipher chip is completed by Astro.

Research on Personalized Recommendation Algorithm Based  on Web Multi-cooperation Platform

CUI Ai-ru;TANG Xiao-chun

2013, 1(3): 50-53,5. doi:

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Based on the issue that how to acquire the interesting information for users quickly and effectively from massive data, this paper proposes a personalized recommendation algorithm based on user characteristics in Web multi-cooperation platform. On the basis of extracting user characteristics, firstly through calculates the similarity of characteristic to find target user’s nearest k neighbor, then obtains the target user’s recommendation item based on the nearest neighbor’s recommendation content. The experimental results show that this algorithm can applicate in Web multi-cooperation platform effectively.

Application of Ridge Regression Model Based on Simulated Annealing in Physical Fitness Test

QIAN Xiao-yang

2013, 1(3): 54-57. doi:

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By discussing the relevance and the multicollinearity problems between physical indicators, this paper improves the existing linear regressing model and proposes a kind of new optimized ridge regression model estimation algorithm based on simulated annealing technique to determine the parameter k. And experiments with reference standard of mse and common sense are made to prove the accuracy and reliability of the algorithm.

Algorithm of Network Hot Word Detection Based on News Title

GUO Chong

2013, 1(3): 58-62,6. doi:

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This paper proposes a candidate phrase extraction methods based on PAT-Tree. By modifying the PAT-Tree data structure, the paper makes it suitable for the Chinese string of variable length, then uses mutual information to assess the candidates. Combined with news text’s features and characteristics of network hot words, the paper uses a forward filtering method to filter the candidates. Compared with other similar algorithms, our algorithm does not need complex language rules and evaluate formula. The experimental results show that our algorithm is proper and efficient.

City Road-net Extraction Alogorithm Based on Improved Hough Transform

WANG Yin-long;LI Qian-jin;LI Zhi-xiang;WANG Xi-wu;GAO Xiu-feng

2013, 1(3): 63-66. doi:

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Hough transform is used to extract line, but Hough transform can not distinguish the line and line segment, otherwise time complexity and space complexity are very large, this paper makes Hough transform to search line segment by adding a two-dimensional counter, and uses Canny algorithm to detect edge pixel which decreases computational complexity and increases extraction accuracy. According to the characteristics of city road network of satellite, first processes the image, then checks the city road-net by using improved Hough transform, the experiment proves the efficiency.

ROPART：A Robust Network Partition Algorithm

LU Yang

2013, 1(3): 67-70. doi:

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The objective for this paper is to handle the instability of network partition. Currently, the weight of a network is usually quantified by common measurements, such as mutual information, Pearson coefficient, etc. However, no one dominates the others. The paper proposes a robust partition algorithm, called ROPART. ROPART introduces a second-order partition strategy, to overcome this shortcoming in a robust way. Benchmarked on five common datasets, evaluated by average shortest path and diameter, ROPART shows satisfactory results. In summary, ROPART is a robust strategy in network partition, whose results always belong to the best ones and never oscillate drastically.

Research on Leaf Area Index Remote Sensing Inversion Algorithms

ZHOU Yang;;MI Xiao-fei;YE Li-zao

2013, 1(3): 71-73. doi:

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Leaf area index is one of the important structural parameters to ensure land surface ecosystem substances and the size of energy exchange, this algorithm is designed on NDVI, RVI inversion model, combine the GDAL image library and C++ language to realize. It has achieved the operational flow from image data to leaf area index map, which improve the utilization rate of image data. The algorithm runs stable and accurate by the test of pretreatment Hyperion data, and provides reliable data for plant growth monitoring, forecast the grain production.

Research on Path Feasibility Detection Based on Symbolic Execution and Data Mining

FAN Yu

2013, 1(3): 74-77. doi:

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The presence of infeasible program paths remains a big obstacle in applying static analysis to software engineering activities. Without the knowledge of the infeasible path problem, data flow information can only be treated in a rather conservative way, which makes further works such as test data generation or bug finding much harder and more inefficient. This paper presents a hybrid approach, combining symbolic execution and data mining techniques for infeasible path detection. Taking advantages of the precise of symbolic execution and the efficiency of data mining, this approach proves to be effective and practical.

Research and Development of Management Module in RFID Middleware Based on Component

SHU Yuan-zhong;ZHU Xuan-hua;TIAN Lei;ZHANG Li;SONG Li-kang

2013, 1(3): 78-81. doi:

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In order to improve the RFID middleware system reconstruction utility and expansibility in the changing process and the integration of different standards and different protocols RFID application, the .NET platform development framework based on abstract model is proposed. The framework is based on service-oriented architecture and component. It makes system dynamic discovery and binding the component service by calling the corresponding component library function to obtain the function to facilitate enterprise rapid development and deployment of RFID.

Analysis and Application of College Students’ Academic Record Based on Data Mining

FAN Tong-ke;SUN Jiang-yan

2013, 1(3): 82-84. doi:

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Management of college students’ academic record is an important part of work in educational administration. Most colleges store students’ records in various ways, mainly limited to searching and simple statistics, and useful information behind such mass data is not analyzed. A data base is constructed based on such data and students’ academic record is analyzed by using classification and prediction algorithm, showing that students’ academic performance is related to students’ particularity, origin and teachers’ education background. Such pertinence can provide evidence for decision-making and administration departments of schools for analysis and administration. In turn, it can instruct education and improve overall educational quality.

Construction of Vocabulary Knowledge Acquisition and Semantic Computing Platform

LIU Xing-lin

2013, 1(3): 85-88. doi:

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This paper designs and implements a vocabulary knowledge acquisition and semantic computing platform: VKASCP, and achieves the basic function of the natural language processing modules. The main function modules include compound-word recognition, compound-word part-of-speech tagging and word segmentation modification, keyword extraction, vocabulary semantic computing, automatic summarization method based on thematic term set, text similarity computing based on thematic term set. VKASCP intergrates the text corpus and vocabulary knowledge base, provides a good platform for the vocabulary knowledge acquisition and semantic computing, and lays a solid foundation to build a lexical semantic knowledge base for the future.

Design and Optimization of Mobile Internet Asynchronous Interactive Database

ZHANG Qing-lin;CHEN Yue-fang

2013, 1(3): 89-91. doi:

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The database pressure of mobile Internet game interaction is not average, the peak is too large makes the problem of low efficiency of the database to read and write. Several design ideas: asynchronous interaction, cache, and according to the characteristics of the game to further reduce the hash queuewrite operations on the database, asynchronous interaction screed peak of the database to read and write, cache technology to increase the speed of read and write data, hash queues effective way to reduce the database write operation, allowing the mass users in the use of mobileterminal access to the database have a fast and stable service.

Medical Data Mining Based on BP Neural Network

SHI Jun-hua;YE Bao-liu;LI Chao-pin

2013, 1(3): 92-95. doi:

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As the electronic medical record system and some clinical information systems are widely used, how to mine more valuable medical information from the medical record database of the hospital has become a research hotspot. For the medical data mining in electronic medical records, the article discusses and summarizes the structure of medical data mining, the BP neural network algorithm and application, finally looks into the future of the medical data mining in electronic medical records. The research of the medical data mining in electronic medical records not only promotes the development to the direction of intelligence and knowledge, and makes outstanding contributions for medical research.

Research and Advances on Machine Learning of Multi-view Unlabeled Data

WU Yong-cheng

2013, 1(3): 96-98. doi:

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Different from traditional supervised-learning, semi-supervised learning and active learning can use unlabeled data together with labeled data to improve the performance． Although these techniques are initially developed for date with a single view, recent studies show that for multi-view data, semi-supervised and active learning can work well. This paper presents a survey of the main problems and the state-of-art multi-view learning algorithms． Main difficulties and questions which will be solved in the future are also shown．

Problems and Solutions Concerning Library Data Storage

CHEN Shao-chun;FENG Kai-ping

2013, 1(3): 99-101,. doi:

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The book data concerning modern librarys and reading rooms are characteristic of huge capacity, rapid increment, long period of storage, diversity of data types, and high demand of security, for which the traditional way of data storage and management is lagging far behind. Modern efficient storage technology, pushed by SSD rapid storage technique, can ease the press of capacity paucity of the library and reading room lines, and greatly down-grade the management difficulty by means of data compression know-hows, dedupe know-hows, thin provisioning know-hows, etc.

Research on Platform of Data Exchanges and Synchronization Updating Based on XML ——Taking Songjiang Campus of Shanghai TV University as an Example

XU Hui;WANG Fang;LIANG Xiao-qi

2013, 1(3): 102-105. doi:

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This article sets up a platform of data exchanges and synchronization based on XML. It guarantees the synchronous updating of the datas based on the reality that different application environment and running platform can still keep their independence.

Research on Component-based Workflow Modeling Method

XIAO Chun-shui;CHEN Zhong-yu;GUO Ting

2013, 1(3): 106-109. doi:

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With category theory, this paper defines the workflow component which abstracted from the elements of the process model, and abstracts the morphism of component with the logical relation of model, then presents a category model of workflow component. Using category pushout operation, the paper broughts out the combination operation of workflow component and presents a example to illustrate.

Limited Rational Nodes in Wireless Multi-hop Networks Game Theoretic Analysis

CHEN Xin-yu;SHU Zhao-gang;LAI Xiao-yan;WEI Fen;RUAN Kai-bin

2013, 1(3): 110-115,. doi:

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Multi-hop wireless network with the dynamic characteristics of time and space, this feature makes the network nodes have the demand for quality of service diversity. Changes in demand prompt the node to play the participants of “limited rational” and analyze the utility. Based on game theory, combined with the typical pattern of “pigs’ payoffs”, the paper designs a mechanism and incentive node to analyze the interests between groups and individuals based on the “lever principle”. According to nodes actual needs, it can help nodes to seek a balance between utility and communication costs.

Analysis of Adaptive Optimal Frame Length Based on COBS Serial Communication Protocol

LI Jiang;ZUO Wei

2013, 1(3): 116-120. doi:

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Based on consistent overhead byte stuffing (COBS) algorithm, a new industrial data communication protocol is proposed to improve the efficiency and reliability in industrial data transmission, which can solve the problem of synchronization, shorten the frame length, as well as save bit resources. Under the circumstance of knowing bit error rate, the quantitative relationship between the data frame error probability and the frame length is analyzed, so that the formula to calculate the optimal frame length is derived. In addition, the variable frame length feature of the proposed protocol is used to obtain an adaptive optimal frame length strategy, which can further raise the efficiency of the communication. Simulation results and numerical analysis verify the effectiveness of the proposed protocol with the optimal frame length.

Design and Implementation of Logistics Information Platform Based on Cloud Computing

CHEN Hua

2013, 1(3): 121-123,. doi:

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This paper analyses the cloud characteristics of logistics information resources based on cloud computing, researches realization model of computing resource sharing platform, technology architecture, design and operation. Through Internet of things and the data migration technology, Google App Engine cloud computing platform is used to realize data compatibility, to achieve the information platform reliability, versatility, high expansibility and security.

CAN Bus Communication Based on C8051F040

LI Ru-shi;ZHANG Jin-jin;REN Fu-zheng

2013, 1(3): 124-127. doi:

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In the communications system of railroad train, because of rapid transmission and high reliability, CAN bus obtains the widespread application. Firstly, this article briefly describes the origin and characteristic of CAN bus. Secondly an introduction of C8051F040 microcontroller unit and CAN controller2.0 is narrated. Finally, it takes the FFR and C8051F040 as an example of communication. The communication program completes initialization, receiving and sending.

Design and Implementation of Alarm Central Monitoring System for Integrated Network Management

CHEN Yong-jun;XU Gang;FANG Lin-lin

2013, 1(3): 128-130,. doi:

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In view of the maintenance of integrated network management, a design of alarm central monitoring system is proposed based on modularized and hierarchical ideal. The construction of software and hardware as well as design of function module for the system is also described. Its validity is verified by a real integrated network management.

Routing Protocol for Wireless Sensor Networks Based on Q-Learning

HU Jian

2013, 1(3): 131-134. doi:

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Owing to the data transmission consumed the majority of the energy of sensor node, the efficiency of routing protocol effect the average energy consumption of the whole network. This paper models the network as a multi agent system by the discrete Markov decision process. An optimized routing policy under average criteria is obtained by using the Q learning algorithm. In order to balance the shortest path and energy consumption, the reward function takes into account the hop counts to the sink, the density of neighbor, and residual energy of node.
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A New Incentive Mechanism of Bittorrent Protocol

MA Yuan-fei;WANG Shun-li;MA Yan-lin

2013, 1(3): 135-138. doi:

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Robustness and stability of BT system is influenced by the degree of cooperation between nodes. Most of the nodes’ behavior is selfish which maximize downloads and minimize uploads, this free-riding behavior has serious impact on system load balancing and overall performance. This paper proposes a new incentive algorithm according to original BT incentive mechanism, integrates it to BT’s CPN model and then makes a verification and performance analysis using CPN TOOLS, the results show this new algorithm can avoid free-riding behavior and improve system performance.

A Framework for Developing Protocol Interoperability Test System

DONG Shu-han;AI Zhong-liang

2013, 1(3): 139-143,. doi:

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The existing test methods for protocol interoperability have a low degree in automation. This paper presents a framework of protocol interoperability test. A finite state machine model is put forward for describing systems under test. The framework is based on the model and the theory of passive testing. The test systems developed following the framework have two main features. One is to tell which process in the protocol does each message belong to automatically. The other is to validate the correctness of messages and process automatically.

A Migration Method for Information System from C/S  Model to SaaS with Multi-tenancy Support

YANG Yu-xing;TAN Cheng-xiang

2013, 1(3): 144-147. doi:

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According to multi-tenancy, access control and data isolation problems of SaaS applications, this paper analyzes and designs a kind of multi-tenancy model of SaaS information system, and detailed describes a migration scheme for logistics business transferring from the original C/S mode to multi-tenant SaaS cloud, from access layer, access control layer and data model layer. The results show that the migration scheme stable and efficient, and enhances the system scalability.

Research and Design of Intelligent Monitoring System of Photovoltaic Equipment Based on CAN

CAO Qian;ZHAO Jia-bao;YU Qing-rong

2013, 1(3): 148-151. doi:

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In view of the low degree of automation equipment, decentralized management and inefficiency in the domestic manufacturers producing crystalline silicon solar cells, this paper puts forward a intelligent monitoring system of photovoltaic equipment based on CAN. This system can be used to centralized management and real-time monitor the large batches of photovoltaic equipments, realizes the centralized management and automation of the entire line of photovoltaic equipment, and improves the efficiency of production and reduces the cost of production. This paper introduces the character, structure, design and realization of the system.

Research on Moving Targets Distance Measurement Technology of  Indoor UAV with Monocular Vision

DENG Xiao-yi;ZENG Qing-hua;XU Gui-li;ZHU Hua

2013, 1(3): 152-155,. doi:

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In order to detect moving targets accurately under dynamic background and achieve its distance measurement to meet the requirements of the indoor UAV obstacle avoidance, a moving target distance detection method based on monocular vision is presented. The inertial information is used to accelerate and improve the efficiency of detecting and tracking moving targets, distance measuring algorithm that derived from geometric constraints based on Pinhole imaging. The angle error of the camera is corrected on the case of preliminary measured values. Experiments show that the research in the paper can not only detect and track a moving target completely but also calculate the distance from the moving target to the camera quickly and accurately, which has significant engineering reference value.

Data Acquisition and Analysis Instrument Based on Windows CE System

WANG Jian;LIU Lei

2013, 1(3): 156-159,. doi:

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With the independent production of Chongqing University Testing Center which produced Atom N270 vibration signal analysis instrument hardware platform, it completes data acquisition analyzer based on Windows CE operating system and discusses the system in detail separately from the overall system design, hardware and software aspects. The EZ-USB FX2 data acquisition card USB driver is designed, and at last the analyzer is conducted a field test, and achieving the desired results. This instrument has a portable, powerful features, and good engineering practice.

Study on Achieved Video Digital Restoration System

ZHANG Ran-ran;ZHANG Yi

2013, 1(3): 160-164. doi:

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Combining with the characters of celluloid films, this paper provides a digital restoration system based on celluloid films. The restoration methods of blotches improve the ratio between correct detection results and false alarms by employing texture matching. Intensity flicker correction based on motion compensation and threshold method is developed, which improves the efficiency of the method and reduce the false alarms. Scratch lines detection method based on canny theory and spa-temporal is proposed, which enhances the correct detection rate by obtain the length, start point and end point of scratch line accurately.

An Image Denoising Algorithm Based on Huber Surface Fitting

TU Guang-yi;LU Jian;CAI Zhi-gang

2013, 1(3): 165-167,. doi:

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An image denoising algorithm for salt & pepper noise is discussed. The method divides the image into uniformed blocks with size of 8×8. Then each block is fitted using Huber surface regression. Since the Huber linear regression model is very robust against the salt & pepper noise, the discussed method can restore the noisy image effectively. Experimental results show that, compared with traditional method based on lest squares principle, the method can achieve better restored image quality for noisy images corrupted by salt & pepper noise.

Cartoon Motion Capture with Shape Context Based on Fourier Descriptors

LI Wen-bo;LIU Yan;SU Wen-ying

2013, 1(3): 168-171. doi:

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Motion capturing from existing cartoon character for cartoon reuse is time-consuming. This paper proposes a method to filter the redundant information in the source character and at the same time maximize both deformation and motion information obtained effectively. It consists of three steps: Firstly, the YUV double threshold based method is used to obtain a cartoon motion sequence including contour and drawing lines inside; Then, filter the redundant details and smoothen the contour by Fourier descriptors; Finally, capture the contour and key points from the sequence we have obtained by shape context. The experimental result shows that the motion and deformation information could be obtained more efficiently with our method.

Research on Sharpening Hybrid Algorithm of Metal Crack Images

ZHANG Li-min;SHI Cheng-ying;WANG You

2013, 1(3): 172-174. doi:

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Cracks on the surface of metal are one of important indexes for judging metal materials. It is very important of researching in image sharpening because of noise jamming and inaccuracy while processing images. In this dissertation, attention is especially focused on several common sharpening operators, respectively on the processing of metal crack images. Several image processing effects of sharpening operators are deeply analyzed and an effective hybrid algorithm is put forward after analyzing a large number of simulation experiments. Not only the influence of the noise jamming is weakened, but also the edge characteristic of image is highlighted. Therefore, the hybrid algorithm shows favorable application value and potential prospect.

Research and Application of C Code Generated by Matlab Coder

LIAO Can-can;ZHANG Shu-qun;LEI Zhao-yi

2013, 1(3): 175-178,. doi:

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The function library of Matlab provides a bridge to realize the design-scheme in embedded systems and helps to accelerate software development. In the present work, by using Matlab Coder, Matlab functions are converted to C code in static library files, then the generated C code are successfully transplanted and run in the embedded ARM board by using a cross-compiler in Linux. The experimental results show that, it running well in the target systems by using this generating software code, its ease of maintenance and execution efficiency are better than manually written code, realize the rapid generation of embedded system software code.

Study on Application of CGM Intelligent Figure in IETM

GAO Wan-chun;YANG Yan-ming;ZHANG Rui-li

2013, 1(3): 179-183. doi:

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CGM intelligent figure provides a very good resolution for the figure interaction and dynamic demonstration of the technical illustration in the interactive electronic technical manual. This paper studies such key techniques as CGM intelligent objects, companion file and figure control, puts forward the structural model of CGM non-graphic information independent storage, the combination CGM layer with XML companion file and DOM interface real time control to realize the figure control and interaction in Web, and applies the results in the IETM of some type of airplane.

Fusion Image Quality Evaluation Algorithm Based on Human Visual Features

JIN Ming-ju;JIANG Hua-wei

2013, 1(3): 184-188. doi:

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In allusion to the performance of the color fusion image on the human visual features, the characteristic of the existing evaluation method on image fusion is analyzed. An evaluation algorithm for color fusion image is proposed based on contrast sensitivity characteristic weighted structure similarity. The brightness component and the chromaticity component of image color are separated. The structure similarity of the image brightness component is first weighted by the contrast sensitivity characteristic, and then it is weighted with the structure similarity of the chromaticity component to acquire the structure similarity of the image. The experiments of different evaluation methods for image fusion demonstrate that this method can accomplish the quality evaluation of the color fusion image preferably.

Design of Mayor-hot-line System Based on Call-ID Technology and Web Service

LI Dong-mei;DING Tian-tian;LI Xiang;ZHU Quan-yin

2013, 1(3): 189-191. doi:

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In order to realize intelligentialize and independent for mayor-hot-line system, the call-ID technology and SOA architecture are used to build the proposed system. The system functions are analyzed and the framework of mayor-hot-line based on Web service is designed. The functions of call acceptance, supervisor, information synthesis management, queue-record-playback and long-distance-sit are designed for the system. The implementation demonstrates that the encapsulation of Web service application system for SOA achieved not only autonomous, platform independent and high stability, reusability, but also call-ID recorded automatically, located and display intelligent.

Evaluation Method of Urban Residential Land Potentiality Based  on Cloud Model and Evidence Distance

YANG Xiao-li;DONG Chun-you;SONG Xue-jiao

2013, 1(3): 192-195. doi:

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Traditional methods have many subjective factors, evaluation process numerous lock, cannot completely solve the problem of significant uncertainty and fuzziness in evaluation process, and make the completely objective assessment become difficult. In order to solve these problems, this paper puts forward an evaluation method, which uses the cloud model to evaluate residential land potential, the positive cloud generator to unify dimension, the evidence distance to fuse weight given by experts, and determines the level of residential land potential through the X-condition cloud generator. Examples show that the method is feasible and evaluation results are objective and accurate.

Research on Memory Management During Developing IOS

LIU Le-ting;LI Jing-zhao

2013, 1(3): 196-199,. doi:

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Memory management is very important in the development of IOS. It has become one of the most important factorts that affect the quarty of IOS software. So many IOS softwares crash because of the leak of memory. As the result of the memory of mobile phone is limited, memory management becomes much more important. In the way that contains both thome and examples, the article discusses not only the primery aspects in memory management but also how to alloc or release memory in the development of IOS. So it is very helpful to manage the memory in the development of IOS.

Design of UAV Fuel Assembly Test System Based on Virtual Instruments

MEI Zhu;JU Zhi-zhong;DONG Ya-li;WANG Hai-jie

2013, 1(3): 200-203. doi:

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In order to improve the test and repair efficiency of the UAV fuel assembly, a UAV fuel assembly test system is designed. The software uses layered modularized design method based on LabVIEW, the program is distinct and easy to be maintained. The design of software and hardware had good expandability. It can be compatible for the other models of fuel assembly by software and hardware upgrade. The test system has friendly human-computer interface, it can measure the parameters accurately and satisfy the UAV fuel assembly test and repair requirements.

Research on Application of Open Source Cloud Computing OpenStack  in Computer Rooms of Universities

HUANG Zhi-cheng

2013, 1(3): 204-206,. doi:

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With the development of cloud computing technology, the open source cloud computing is rapidly emerging. Open source cloud computing with its open source, low-cost advantages attracts more and more IT companies. This paper introduces the function and structure of the open source cloud computing OpenStack, analyzes the current problems of computer rooms in universities, and studies the application and deployment of OpenStack in building storage cloud and compute cloud in the computer rooms of universities. Experiments show that OpenStack can easily and quickly deploy cloud, and has stable performance.

Design and Implementation of Redressing Malpractices System Based on Websites Technology

LIANG Zhi-xue;QI Li-lei

2013, 1(3): 207-211. doi:

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This paper analyzes the requirements of redressing malpractices system and introduces the websites technology into the design of system. Based on J2EE technology and three layered open-source structure, an efficient, secure and robust redressing malpractices websites system is established. It avoids the duplicate construction on redressig malpractices in some related departments, achieves unified management of resources and improves the efficiency of redressing malpractices.

Research on Subjective Question Automatic Marking Technology  Based on Word Segmentation Matching

FENG Guang;QIAO Dan-dan;CHANG Jing-yi

2013, 1(3): 212-214,. doi:

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Nowadays, because of the immaturity of the automatic marking system technology, some problems still exist when dealing with the subjective problems, such as short-answer questions, essay questions, etc. In order to improve the accuracy grade of assessing the subjective question automatically, this paper presents a kind of automated marking system with stable performance and high accuracy by adopting Chinese word segmentation extraction technology and key word matching technology which are based on forward maximum matching algorithm. Experimental results show that using this kind of automated marking system can satisfy the demand of system design and it is very effective and feasible.

Research on Office Network Examination System

ZHU Ke-wu

2013, 1(3): 215-219. doi:

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Office network examination system is a very complex system, it involves many contents, including: document management, knowledge of SQL Databases, Excel application, Socket, WinRAR compression and decompression, processes and threads management, and so on. It has the server and client parts, key point and difficulty is network communication, it largely solves the problem of file uploading and downloading. This System implements the features of the network examination, network transmission is stability, and it basically achieves the expected design target.

Research on Application of Seawater Desalination Project Spatial Information Visualization Based on WebGIS

YU Qing;LIU Shu-jing;FU Jin-feng;GAO Yun;SHAN Ke;HUANG Peng-fei

2013, 1(3): 220-222,. doi:

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The demand of information visualization service for the seawater utilization project is studied, then the paper uses for reference from the advanced concept of WebGIS in the marine information visualization. On the basis of this, the seawater desalination project spatial database is built, and the information visualization system is developed. The system consistes of map browsing model, thematic query model and statistical analysis model, that can help users get the seawater desalination project information.

Research on Semantic Parsers for Biology Texts

HU Dun;YANG Jiong

2013, 1(3): 223-225. doi:

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A natural language parser is a program that works out the grammatical structure of sentences. The Stanford natural language parser is a Java implementation of a probabilistic PCFG and dependency parser for English, German, Chinese, and Arabic. The link grammar parser is a syntactic parser of English, based on link grammar, an original theory of English syntax. PC-PATR is a syntax analyzer, using PART-II as a rule description language. It is an implementation of the PART-II computational linguistic formalism (plus a few enhancements) for personal computers.

Design of Bank Epuipment Monitoring System Based on 3G Network

HONG Fei;LI Jing-zhao

2013, 1(3): 226-227,. doi:

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The development of banking business led to the bank’s equipment maintenance work increment. In order to find out and resolve anomalies in time, and reducing the maintenance staff work pressure, the paper designs a monitoring system based on 3G network. The system uses 3G network real-time monitoring front main equipment parameters, and can realize control operation. Bank maintenance personnel through this monitoring system can timely find out and solve problems. So it can prevent risks at the same time to improve work efficiency.

Application of Thin Provisioning Storage Technology in Civil Aviation Information Systems

WANG Li;LIN En-ai;WANG Xin

2013, 1(3): 228-231. doi:

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Thin provisioning storage technologies is a according to need storage technology. Using of this technology, users can see the storage space greatly exceed the actual space, thereby greatly enhancing the utilization rate of the storage array systems, reducing investment costs. This paper puts forward the application of thin provisioning storage technology in the civil aviation information systems. Respectively proved by experiments of NAS and server virtualization that this storage technology can be well combined with the civil aviation information systems so as to provide strong technical support for strategy of “cloud computing” of the civil aviation information systems, enhances the efficiency of storage management, reduces investment costs, enhances civil aviation information systems business continuous.

Design of High Concurrency Examination System Based on Thread Pool

XU Yong-da;

2013, 1(3): 232-234,. doi:

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The server would have a slow response or even a crash when a large number of candidate machines access to the existing examination system simultaneously. High concurrency examination system, based on the thread pool, has taken some measures, such as controlling the database performance of examination system through the thread pool, to achieve a high concurrent access of the examination system from the candidate machines. This thesis is mainly on the design of the framework, the main functions and workflow of the examination system, and the design of the thread pool module.

Design and Implementation of Poverty Alleviation Decision Management Platform Based on GIS

TENG Lian-ze;ZHANG Hong-ji;LUO Yong;TAN Xiao-qin;HUANG Zhao-xian

2013, 1(3): 235-238. doi:

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Poverty alleviation is a “people’s livelihood project” which is investment in large, covers a wide range, high sensitivity and require urgent. This paper develops the Aba poverty alleviation and integrated control of Kashin-Beck disease pilot decision management platform by “Aba poverty alleviation and integrated control of Kashin-Beck disease pilot project” as an example. Its purpose is to provide visualization, real-time, dynamic information query, display and intelligent analysis for poverty relief agencies and to provide scientific basis for the relevant government departments to make decisions.

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