Table of Content

27 November 2014, Volume 0 Issue 11

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Scheme of Mobile Web Front-end Display Based on MVVM Framework

FENG Yu1，2, CHEN Ning-jiang1

2014, 0(11):  1-4. 

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To solve the problems of the mobile terminal user personalization rich experience, based on the MVC and MVP mobile Web development framework are analyzed, according to problems of show logic and business logic when using the MVC and the MVP to develop the mobile terminal applications, the MVVM architecture is proposed, and it can provide the personalized experience on the mobile terminals. Examples shows that using MVVM based architecture to design the mobile terminal applications can effectively achieve the complete separation of show logic and business logic.

An Improvement of DV-Hop Localization Algorithm for Wireless Sensor Network

HU Zhong-dong, CAO Ji

2014, 0(11):  5-8. 

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 DV-Hop location algorithm is one of common methods for wireless sensor networks. The demand of node hardware requirements of this algorithm is low. But this algorithm uses the hop distance to replace the actual distance, while the average hop distance has the relationship with the network connectivity and the node density. Through analysis on DV-Hop algorithm, this paper presets an improved algorithm which fixed the average hop distance and estimated distance to improve the accuracy of node location. The experiment is finished under three different node distribution environment. Simulation results show that the improved algorithm enchances the nodes localization precision.

Parallel Packet Classification Method Based on GPU

ZHANG Wei-wei, ZHANG Yu-jie

2014, 0(11):  9-14. 

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 Packet classification, which is the basic processing model of network devices, commonly uses packet filtering system to classify each message. Traditional packet classification is difficult to adapt to todays increasingly high network traffic. Its classification processing speed is lower than the speed of packet to reach the network interface, so that it cannot achieve real-time analysis. Therefore, we proposes a method that uses GPU to classify the large scale packet set parallelly. The thread-level parallel processing capability of GPU is made use to accelerate packet classification throughput. Its performance and optimization methods are analyzed in detail. The experimental results show that compared with processing by pure CPU system, GPU-accelerated Linear Search and RFC algorithm achieve a 4.4x~132.5x speedup.

Design of B2C E-commerce Website

DONG Hui, WANG Hai-yang, XIE Jing

2014, 0(11):  15-19. 

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With the development of information technology, E-commerce is springing up. As the mainstream of E-commerce, B2C(Business to Consumer) has occupied a considerable market share in global online-shopping trade. In order to provide a more user-friendly B2C E-commerce website and enhance the interests of enterprises, it is essential to make a detailed demand analysis and design. Therefore, the essay analyses the demand of a B2C E-commerce website through the perspective of customers, the inner enterprises and the network marketing, divides each function module as well as analyses the business flow and data flow. Based on the demand analysis, the whole design of the system focuses on the relational database design process of user, shopping cart and goods. In combination with the search engine optimization, it is more conducive to explore potential customer. Furthermore, it plays a guiding role in the website maintenance and development in the long run.

IaaS Cloud Service Pricing Mechanism: A Multi-agent Simulation

LI Yue, WANG Nian-xin, GE Shi-lun

2014, 0(11):  20-26. 

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Pricing mechanism is a key factor influencing the interests of cloud users and profits of cloud service providers. Three different pricing mechanisms of IaaS cloud service are compared in terms of service provider’s benefits. Firstly, IaaS cloud service pricing mechanism is divided into two major categories: fixed pricing including pay-per-use pricing and subscription pricing and dynamic pricing, and theoretically analyzes IaaS service provider’s benefits within fix pricing and dynamic pricing. Secondly, the revenue models of pay-per-use and subscription pricing are built, and a heuristic algorithm is brought forward to construct the revenue model of dynamic pricing mechanism. Thirdly, the revenue model of the three pricing mechanism is implemented in Repast Simphony environment. The results show that as the length of service and the number of customers increased, dynamic pricing mechanism can create more revenue for IaaS cloud service provider, meanwhile the IaaS cloud service provider can change parameters such as service level and resource prices to influence customer behavior, so that the number of customer increased, thereby the revenue increased.

Intrusion Detection Based on Simulated Annealing and Semi-supervised Clustering

WU Jian1,2, FENG Guo-rui1,2

2014, 0(11):  27-30. 

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Because of the absence of supervised data, classical intrusion detection system based on clustering will result in high misdetection rate and low detection rate. In view of this, we propose a method of intrusion detection based on simulated annealing and semi-supervised K-means clustering. This method improves the initial stage of clustering by using a few labeled data of network intrusion first, so the semi-supervised learn method is introduced in the K-means clustering. Then the method combines the ability of simulated annealing algorithm jumping out of the local optimal solution with semi-supervised K-means clustering to get global optimal clustering. Finally, the method identifies the clusters with labeled data and is used in the detection of intruding action. The experiment in the KDDCUP99 data set indicates that the method can improve the clustering algorithm with supervised data and simulated annealing, and obtains an increase in the precision rate of intrusion detection.

 An Improved FastICA ADS-B 1090ES Signal Separation Technique

YAN Ke-yi, LYU Ze-jun, SHI Hong-wei

2014, 0(11):  31-34. 

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In order to solve the ADS-B 1090ES signal pulses overlap problem of multi-point positioning technology, an improved third-order convergence of Newton iterative fast independent component analysis(Fast ICA)algorithm is proposed. Through separating mixed of multiple radiation sources signal, to recovery and reconstruct the original signal, achieve extraction of the target source signal. This paper compares basic algorithm with improved Fast ICA algorithm convergence speed, by calculating the similarity coefficient matrix, analyzes the separation performance of the algorithm. Finally, the simulation results verify the feasibility and effectiveness of the algorithm, the results show that the algorithm has better separation efficiency, convergence is faster.

An Improved DV_Hop Positioning Algorithm Based on #br#   Three-dimensional Wireless Sensor Networks

HUANG Shuang-shuang, FAN Chun-li

2014, 0(11):  35-39. 

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 When it used non-ranging positioning method DV_Hop in three-dimensional wireless sensor networks(WSN), the positioning accuracy decreased significantly due to the complex distribution of nodes in three-dimensional space which lead to increase ranging error. In order to improve the positioning accuracy, a positioning algorithm based on an improved particle swarm optimization was proposed. It used minimum mean-square error to estimate the distance between unknown nodes and anchor nodes, and used the weighted mean square error as the optimization objective function, and used a concave function with decrementing strategy to allow particle swarm optimization access to the local search algorithm faster. It effectively raises the node positioning accuracy. The simulation results show that the positioning accuracy of the improved DV_Hop algorithm is superior to the traditional DV_Hop algorithm in the same condition.

A New Blurred Restoration Algorithm for Star Image

LI Chen-xi, SU Lai-li, GAO Ying

2014, 0(11):  40-44. 

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For the problem of motion-blur by the relative motion between the camera and the star scene during taking pictures, a new motion-blurred restoration algorithm for the star image is proposed. An improved thinning algorithm is used to obtain the star point trajectory, so as to extract the blur kernel of the motion-blurred star image. Then the motion-blurred image is restored based on the restoration algorithm of Richardson-Lucy. Experimental results show that the proposed method of using thinning algorithm to get the blur kernel is of low complexity, less time-consuming as well as high accuracy, which has a good restoration effect on the motion-blurred star image.

A Just-in-time Encapsulation Mechanism for Adaptive Bit Rate Videos

LI Jian

2014, 0(11):  45-48. 

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The adaptive bit rate streaming is one of todays video streaming technologies and has attracted a wide spread attention since its media server can

automatically adapts to any change in each users network and playback conditions. There are a few different adaptive bit rate videos streaming technologies including HLS, HSS,

HDS, and MPEG-DASH over the Internet. These variations require video streaming to serve a wide variety of end-clients and to make a separate copy for each end-client type which

negatively impacts storage and bandwidth usage. In this paper, we put forward a Just-in-time Encapsulation (JITE) mechanism to overcome it. With JITE, only a single common

format representation of contents is stored and cached by the server. Upon each client request, the server will re-encapsulate the common format representation into end client

specific format to save storage and bandwidth.

 Tongue Extraction Algorithm Based on Dynamic Thresholds and Correction Model

ZHANG Zhi-shun1, LIU Yong2

2014, 0(11):  49-52. 

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 To address the problem of segmenting the tongue body from a tongue picture, a novel algorithm is proposed, which is based on prior knowledge of color, shape

and position of tongue body. Using HIS color model, the algorithm preserves the contour of tongue body while information of lip and face tissues is removed accurately. After

that, the tongue body contour is refined by dynamic threshold segmentation algorithm. Finally, the tongue body is extracted by a regularization model. Experiments and data

analysis show that the proposed method in the ability to resist noise and extract the precision better than other operator. In addition, the method works well in presence of lip

and face tissues. good results are obtained by the proposed algorithm in spite of the sunken area of tongue body. Accurate segmentation of tongue body plays an important role of

preparing good extraction of coating on the tongue.

A Way to Prevent Optical Interference of Multi-projector Display System

GUO Xin1,2, ZHANG Jian-wei 1,2, XIAO Chao1,2

2014, 0(11):  53-56. 

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In the 360° fully enclosed multi-projection display system, in order to reduce the interference between projections by light diffuse reflection from

projection screen, correction scheme based on digital image processing technology is used to preprocess the image of frame buffer. Correction scheme by proprocessing is enforced

by analysing the difference between pre-interference and pro-interference image, then the model relationship among the image of frame buffer, the image of pre-interference

projection and the image of pro-interference projection image is established. Proved by the experiment, the technology has good effect on solving the problem of image contrast

droped by light interference in totally closed multi-projection display system.

Assessment Method of Cloud Model Based on Computer Simulation and Its Application

YUE Shou-chun1, ZHANG Li-li1, LIU Hong-fei1, DONG Chun-you2

2014, 0(11):  57-60. 

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Lacking in comprehensiveness, scientific rationality and the disparity in actual difference in the methods used to assess the quality of teaching in higher colleges, this paper presents a method based on a cloud model to assess computer simulation, which uses the opposite-state cloud generator and introduces computer simulation techniques to simulate experts thinking and produce large amounts of cloud droplets, making error of assessment be close to the normal theories. Meanwhile, in the cloud model algorithm, it adopts the combination of virtual cloud synthesis algorithm with similarity ratio algorithm to come up with comprehensive and detailed remarks. In the application of teaching quality assessment in one higher college, the results show that the method can overcome the shortcomings of teaching quality assessment, conform to reality and assess the quality of teaching completely and scientifically.

An Improved Mapping Method of Comprehensive Ontology Similarity

YAO Xiang-ju1, XIE Ying-hua2

2014, 0(11):  61-65. 

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Aiming to the problems of large amount of calculation and single method on the calculation of the concept in ontology mapping, this paper presents a comprehensive mapping method, that decomposes with suitable ontology at first, making the large size of ontology into small ontologies, reducing the computational time complexity of mapping; Then the candidate set of concepts are selected according to the ontology mapping heuristic rule, calculating the similarity of ontology concepts based on the HowNet, then computing the semantic similarity and structure similarity, the next to do is using the comprehensive weight to get the final comprehensive ontology concept similarity; Finally, an experiment is made to get the validity and correctness of algorithm. The results show that method can well improve mapping efficiency and effect of the mapping method is pretty good.

Research on Time Series Prediction Algorithm Improved by Markov Model

DAI Zeng1,2, LIAO Wen-jian2, PENG Yan-bing2

2014, 0(11):  66-71. 

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The traditional time series prediction algorithm can well simulate and predict the stable time series data, but not so well to the series of nonlinear and non

-stationary. To solve this problem, an improved algorithm comes up. Through the wavelet decomposition and single reconstruction, the original time series is decomposed into a

layer of low frequency data and two layers of high frequency data. The GARCH model is used to forcast the low frequency data, the improved algorithm is used to forecast the two

layers of high frequency data. Through Markov model predicting the state interval, with the smoothing coefficient, the high frequency data is predicted. The final forecasting

result comes from the superposition of the three layers of prediction result. Through the error test, the accuracy of the improved algorithm has a major improvement.

 Simulation of Advanced Application for Smart Substation

ZHANG Hong-bo， LIU Guo-hong， XU Yan

2014, 0(11):  72-75. 

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 With the smart substations are put into operation, advanced application is an important aspect and major feature of smart substations. To better research the

advanced applications of smart substations, it is simulated. It realizes by software，It simulates the functions of the sequential control, intelligent alarm information

categorizing and fault comprehensive analysis and decision. On the one hand, it can provide the training platform for substation operators, which has important significance in

training operators and improving the ability of normal operation， judgment and disposal in emergency. On the other hand, it provide the test platform for research on upper

software advanced application functions, to prove the validity of the upper software. The system covers wide simulating range, simulating effects are vivid and functions are

perfect, it has put in operation and has better practicability.

Research and Implementation of Solid Rocket Boosters CAD System Software

WANG Shan-jun, YANG Yu-wang

2014, 0(11):  76-81. 

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 For the problem of the solid rocket booster design, this article takes rocket CAD technology used in the development process, combined with the UAV launch

assist system design and simulation software, explores current solid rocket boosters CAD system development status and characteristics, studies the composition and

implementation of solid rocket booster CAD system, develops a solid rocket booster system design and simulation software. Booster system integrates design, parametric drawing,

database management three modules. The system has a friendly user interface, makes the association between the propellant charge module and design module, which can effectively

complete the booster product management, simply enter a small amount of data, you can quickly construct booster. It provides a powerful tool for booster program demonstration.

Maintenance Task Simulation and Ergonomic Assessment Based on JACK

GUO Qing， MA Chao

2014, 0(11):  82-85. 

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To design of civilian aircraft product, the author uses the application of human-computer ergonomics principle and JACK software to simulate civil aircraft maintenance task and assess the ergonomic. Firstly, the engine UG model is imported to JACK software to creat the analysis objects and simulation objects. Secondly, virtual human body model is set up, then the virtual people and maintenance object are put into 3D virtual environment. In the simulation module, the maintenance task simulation is completed. Finally, JACK software ergonomic assessment tools are used to evaluate maintenance task simulation results and the improvement opinion is put forward which verify the serviceability of the product and reduce the manufacture cost.

 Research on Parallel Big Data Migration Strategy Based on Job Segmentation

LIU Qing-he, YANG Yun, HE Xing-ya, XU Wen-chun, ZHOU Yuan-yuan

2014, 0(11):  86-89. 

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Theres no doubt that Big Data has become a research focus recently. Not only because Big Data has posed great challenges to issues such as data storage, management and retrieval, but due to the fact that it draws higher demand in the study of storage hardware, storage strategy and retrieval method. In view of the processing problem of Big Data, the study of parallel data migration strategy based on job segmentation has been put forward. Moreover, a data migration platform has been developed under the guidance of the study. Just as results of the experiment show, this platform not only gains an edge in data access speed and system memory compared with traditional data migration methods, but also has achieved desirable effects in the application of a bank balance verification system.

Multi-density Incremental Clustering Algorithm Based on Grid

LI Guang-xing1, YIN Ji-chuan2, TANG jun1

2014, 0(11):  90-93. 

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This paper presents a multi-density incremental clustering algorithm based on grid (MICG), the discriminant function taking into account relative density and

gravity distance between grid cells is introduced. When a portion of the data sets changed, without re-clustering all the data, this algorithm could formulate a new cluster

according to original clustering result merely based on the relationship between the unit with changed data set and neighbored unit. This approach effectively improved

efficiency of cluster analysis. The time complexity and space complexity are linear with the size of dataset and the number of attributes. The experimental results show that

MICG algorithm can process cluster with any shape or different densities, and can solve the increment clustering problem effectively when the data is updated.

Research on Scientific and Technological Innovation Evaluation for Researching#br#   Institutes Based on Grey Relational Analysis

SANG Wei-quan, ZHANG Xiao-ping

2014, 0(11):  94-97. 

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Through the effective data of research institutes collected and the corresponding indicators selected, improved grey relational analysis is used to calculate

the relevance of each index and feature sequences, also analyze the correlation between indicators and the evaluation of scientific and technological innovation ability, then a

reasonable and effective evaluation index system of research institutes is constructed. The establishment of the index system provides theoretical guidance to the scientific and

reasonable evaluation of technology innovation ability for researching institutes, thus more effectively promotes technology innovation progress of research institutes towards a

new level.

Study on OneMap Data Dynamic Updating Mechanism Based on Business-driven

FANG Cong-gang1, CHEN Xian-wei2, XU Zhu3, HUANG Cheng-yi4

2014, 0(11):  98-101. 

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 Based on the analysis of the relationship between the OneMap database and the business models of land and resources management, it is focused on that the

principle and implementation technologies of the OneMap data dynamic updating mechanism based on the business-driven. And then application demonstration is done in Chengdu. In

the paper, a new idea is presented that the OneMap data dynamic updating is realized based on the business with the data capture, ETL tools. Data support and information

services are provided for dynamic monitoring of land and resources, analysis verification and decision, disaster prevention and mitigation.

 Design and Implementation of Smart Home Control Software Based on Android

HUANG Cheng-yun， LU Xuan-min， LI Ge

2014, 0(11):  102-105. 

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 Smart home control system in the ascendant of household intelligent plays an important role. Based on studying the key technologies of smart home system, the

Android platform and WiFi communication technology, the paper designs the overall scheme of the system software implementation and protocol format, and then designs and

implements control application software on the intelligent interactive terminals, completes the entire operation and debugging of the smart home control software.

 Ceramic Kiln Temperature Control Based on Predictive Functional Control Algorithm

HOU Ning1,2， FEI Shu-min2

2014, 0(11):  106-109. 

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For the complexity of ceramic firing production process, a control strategy of the ceramic firing temperature is proposed based on predictive functional

control. According to the mathematical model of ceramic firing kiln, we first expound the principles and applications of ceramic firing temperature predictive function

control, and give the ceramic sintering temperature predictive function control scheme. Then the closed-loop system performance analysis is taken. Finally we realized the model

simulation. The results show that the control method has a small amount of calculation, small tracking error, strong anti-interference ability and so on.

 Design of Aircraft Handling Workflow Method

GUI Zhou, LIU Ai-dong

2014, 0(11):  110-112. 

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The aircraft carrier hangar is an important place to store and maintain aircrafts, proceeding preparatory work for taking off. We need design reasonable

approach to ensure the handling workflow in combination with handling teams and equipments, for the efficiency of aircraft handling workflow has a direct impact on its dispatch.

This paper analyzes the handling workflow of a foreign aircraft carrier, which is divided into five stages, compares two handling methods based on short-job-first referring to

the concept of process scheduling in operating system.

 An Adoptive Frame Based Anticollision Algorithm for RFID Systems

MA Yan1, CAI Li-xia2， REN Xiao-na2

2014, 0(11):  113-116. 

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To identify targets without manpower interaction, RFID technology relies on wireless message exchange between tags and reader. In this way, RFID technology

attracts attention in modern logistics industry. Limited by design complexity of RFID reader, collision happens when identifying a lot of tags. Current probabilistic

anticollision algorithms have low identifying probability. They are not efficient enough for identification of large number tags. An adoptive frame based anticollision

algorithms(AFA) is proposed in this paper. The analysis results show that this algorithm could adjust frame length adaptively, thus the identifying probability rises.

Design of Experiment Teaching Platform Based on Online Judge System#br#   and HTML Annotation Technology

HUANG Xiao-hua, SHEN Jian, CHANG Jin-yi, ZHANG Ming-xin

2014, 0(11):  117-121. 

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 Interactivity during the experiment teaching process is one of problems faced under the background of informatization. An experiment teaching platform for

computer programming courses is constructed based on ACM Cnline Judge system. HTML annotation technology and AJAX technology are also introduced into this platform, therefore

the platform is easy to use and has better interactive ability. The paper also researched on how to improve the teaching process based on annotations.

 Research and Implementation of Oil and Injection Well Dynamic#br#   Analysis Model Based on CLIPS

YI Zhi-an, ZHAO Dan-chun

2014, 0(11):  122-126. 

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 Focusing on the problems in oil and injection well dynamic analysis, such as complex analysis process, large amount of calculation, and over-reliance on

expert, the paper puts forward an oil and injection well dynamic analysis model based on CLIPS. It studies knowledge representation, knowledge storage and management technology

， researches method to compile the knowledge to CLIPS syntax normative format, and designs a data-fact explain mechanism to extract facts from the oilfield database

automatically. Then we use the CLIPS kernel to infer and interpret the results. Finally, the oil and injection well dynamic analysis model is applied to oilfield actual project,

and the feasibility and effectiveness of the model is proved.