Table of Content

26 May 2017, Volume 0 Issue 5

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 An AADL Modeling Method Based on Concurrency

LI Jie-yang, CAO Zi-ning

2017, 0(5):  1-4,9.  doi:10.3969/j.issn.1006-2475.2017.05.001

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 Architecture Analysis and Design Language(AADL) is the standard language of architecture modeling for the complex embedded real-time system, but AADL didn’t give the formal description for the concurrency and interaction part in the embedded real-time systems. Aiming at the concurrency and constraints in the real-time system, combined with disadvantage of AADL in this aspect, this paper expands the AADL behavior annex with the concepts of constraint and concurrency into AADL, and the formal semantic description is given, enriching the AADL modeling elements. Then based on the properties of the AADL and process algebra, this paper formally transforms the expended AADL model into the process algebra model, which provides the foundation for the formal model verification and the development of large-scale complex and reliable real-time system.


  A Load-balancing Algorithm in Overlapping System of TD-LTE and eHRPD

LI Yong-gang1, YUE Wen-tao1, LI Long-jiang2

2017, 0(5):  5-9.  doi:10.3969/j.issn.1006-2475.2017.05.002

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 In view of the hybrid system of eHRPD in 3G and TD-LTE in 4G, the cell will overload with the increase of users. The vertical handover between the different standards can be applied besides the traditional handover of the neighboring cells. This paper studies the load balancing in the hybrid network of eHRPD and TD-LTE. The proposed algorithm refers to the network resource utilization when the users are handed off. Therefore, the load in the hybrid network can be balanced. Through the simulation of the integrated system, our scheme can enhance the average throughput while the radio link failure is unaffected. Moreover, the best handover thresholds can be obtained with the largest throughput.


 A Block Encryption Algorithm Based on Chaotic Theory for Underwater Sensor Networks

LIU Xue-ke1,2, DU Xiu-juan1,2, PENG Chun-yan1,2

2017, 0(5):  10-14.  doi:10.3969/j.issn.1006-2475.2017.05.003

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 Underwater acoustic channel is open, and underwater sensor networks are more vulnerable to be attacked and threatened. To solve the security problem of UWSN, we present a block encryption algorithm based on chaotic theory. It adopts 16-round iteration Feistel structure to encrypt and decrypt block. The round function is constructed by discrete coupled chaotic systems. The round keys are generated by logistic mapping. By analysis, our algorithm can meet security requirements, and can resist adversarial attacks. Simulation results show that, compared with DES and AES algorithms, our algorithm has higher energy efficiency and can be applied to UWSN.


 Improvement on DV-hop Location Algorithm in WSN#br#

DONG Jun1, YANG Xiu-juan1, FU Xi-hui1, LIU Fu-gang2, XIE Zi-dian3, ZHANG Yang3

2017, 0(5):  15-18,23.  doi:10.3969/j.issn.1006-2475.2017.05.004

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 DV-hop algorithm is a typical range-free localization algorithm in wireless sensor networks, its core idea is to use the hop count multiplied by the average distance per hop to estimate the distance between two nodes. That is to say, hop distance is regarded as the actual distance in the position calculation. The errors accumulation in the process of hop distance calculation is the main factor on influencing the DV-hop algorithm localization accuracy. The paper presents selection strategy of beacon node based on threshold hop count and optimization strategy of average hop distance based on weight. Those strategies reduce error accumulation in the process of hop distance calculation and improve the positioning accuracy. The improved DV-hop algorithm optimizes a scheme for selection of beacon node by threshold hop count. In the scheme, only those beacon nodes whose hop count is less than threshold hop count are used for the position calculation, so error accumulation is reduced from hop count. And for the selection of average hop distance for the unknown node, the algorithm regards optimal hop distance as average hop distance of the nearest beacon node, so error accumulation is reduced from average hop distance. Simulations are performed and the results show that the enhanced DV-hop algorithm greatly improves localization accuracy for different number of beacon nodes, different communication radius and different node density.


Detecting Community Structures by Shortest Path and Maximum Modularity

LIU Fei

2017, 0(5):  19-23.  doi:10.3969/j.issn.1006-2475.2017.05.005

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 With the development of the research on complex networks, people have found many important properties about them. The community structure is one of the most popular and the most important topological properties of complex networks. So far, a large number of algorithms have been proposed to detect community structures in complex networks, but most of them are suitable for a specific network structure. Based on the previous research, this paper puts forward a kind of improved algorithm based on Affinity Propagation. First of all, dissimilarity distance matrix is calculated by using the shortest path algorithm. Then the exemplars are identified by the Affinity Propagation algorithm. Finally, based on the maximum modularity and minimum variation, “Community centers filtering” model is established to automatically identify the community structure of the network. Experimental results on real datasets, show that the proposed algorithm, comparing with the traditional method, has higher performance related to the accuracy, and the ability to tolerate the resolution limit.

 A Load-balanced Virtual Machine Scheduling Approach in Cloud Data Center

LUAN Zhi-kun1, NIU Chao2

2017, 0(5):  24-36.  doi:10.3969/j.issn.1006-2475.2017.05.006

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 The paper researches on the migrations of virtual machines among hosts to improve system load balancing degree (including two aspects: CPU and disk I/O) while reducing the migration cost as much as possible. So, the purpose is to find out the best possible mapping scheme between hosts and virtual machines in the system. This paper puts forward the concept of affinity about virtual machine, and defines the calculation method of affinity index; then builds the virtual machine scheduling model based on genetic algorithm. In the model, the crossover operation drives the affinity index of the mapping scheme increased as much as possible, the mutation operation makes the difference between CPU and disk I/O of host tending to converge. In each generation, selection strategy selects bigger fitness in each pair of parent individuals and child individual, so that the population is constantly evolving, and the final solution space of the mapping scheme is obtained. The paper proposes a VM balanced scheduling algorithm based on genetic algorithm, the algorithm selects the best solution from the final solution space of the mapping scheme, which considers the load balancing problem from a global perspective; the algorithm calculates the impact of migration in advance and carries out substantive migration after obtaining the best mapping scheme, therefore, it reduces the migration cost; the algorithm uses MTALB algorithm to allocate multi-type tasks evenly to VMs, the effect of system load balancing is better. Experimental results show that the proposed algorithm has overall advantages over first fit and round robin algorithm and NABM algorithm in terms of specific indicators of migration cost and system load balancing. In the key indicator-task processing rate， it is respectively improves by 25% and 12% than that of the first fit and round robin scheduling algorithm and NABM algorithm.

 Air Bat Strategies of CGF Based on Q-learning and Behavior Tree

FANG Jun,YAN Wen-jun, DENG Xiang-yang, LING Qing

2017, 0(5):  37-39，44.  doi:10.3969/j.issn.1006-2475.2017.05.007

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 The intelligence of air bat strategies is one of the important problems. A new method for air bat strategies of CGF was proposed based on Q-learning and behavior tree. The intelligence of CGF was formed through establishing behavior tree. And through Q-learning on behavior tree, the evolutionary ability was gained for CGF. Simulation shows that the method performs better and with a stronger learning ability when it combats with traditional algorithm.

  Design of Large Warships Aviation Guarantee Simulation Training Platform

BI Yu-quan1, WANG Zhi-le1,2, XU Lu-hang2

2017, 0(5):  40-44.  doi:10.3969/j.issn.1006-2475.2017.05.008

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For all kinds of personnel and equipments, more wider distribution battle stations, and high-cooperation between people in the large warships aviation guarantee work, etc., we design a large warships aviation guarantee simulation training platform. The platform uses the n(C/S) distributed architecture, object-oriented design thought and interface-based technology. We introduce the simulation method of every software modules of the platform, propose a script-driven-based virtual human motion simulation method, a script-based equipment description and interactive way, use the events-based and directed graph method of component technology to implement various man-machine interaction technologies, build a set of distributed cooperative guarantee training platform based on PC. Practice has proved that the platform meets cooperation training needs among different equipments and different battle stations, at the same time, the platform has good expansibility.


 Application of Stochastic Distribution Control Theory in Section Furnace Temperature Field

ZHANG Jin-fang， ZHAO Jian-xun, LI Jin

2017, 0(5):  45-49,55. 

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 Using the existing technologies of furnace flame temperature field detection and reconstruction, it is convenient to obtain section temperature field, which can be used as output in stochastic distribution control (SDC) for the fuel control system. Based on the characteristics of four corners tangentially fired furnace, a model of section temperature field is built. Then the corresponding output probability density function (PDF) dynamic model based on spline functions is identified. Under the framework of SDC theory, conventional control and predictive control are adopted to make the section temperature field track the ideal distribution. The simulation results show the effectiveness of the control algorithms. Compared with the traditional furnace combustion control strategy, this method without problems from large delay and large inertia has good application prospects.


 Simulation Test Platform for EMU Braking System Based on Virtual Instrument

LI Mu-gong, LIU Yu-ling, YIN Fang, ZHANG Yong-bo

2017, 0(5):  50-55.  doi:10.3969/j.issn.1006-2475.2017.05.010

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 This thesis designs an emulation test bench of CRH380B EMU brake system based on virtual instrument. Taking physical brake controller in end car as research object, computer simulation and emulation is used to realize the functions of periphery network environment, electrical control and pneumatic system, and finally completes the establishment and commissioning of semi-physical emulation test bench. The test result shows that brake compliance is corresponded basically to test data of the train.


Development of Mobile Visible Monitoring and Control System for Intelligent Substation

WANG Zhi-hua, KONG Jian-shou, GAO Yuan

2017, 0(5):  56-596,66.  doi:10.3969/j.issn.1006-2475.2017.05.011

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 In order to improve the monitoring efficiency and realize flexible monitoring, this paper develops a mobile monitoring and control system for intelligent substation based on the characteristics of digital management. The system uses hybrid architecture of C/S and B/S, and key technologies like SSH framework, Unity engine, Android system are used. The system has personnel management, data query, visual interaction and other functions, which realizes the local monitoring and remote access of the substation. This system provides important technical support for improving the operation and management level of intelligent substation.


 Extension and Implementation of Channel Model for NS2-based WUSN

XU Jue， ZHANG Gang

2017, 0(5):  60-66.  doi:10.3969/j.issn.1006-2475.2017.05.012

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 As a new research field, most of wireless underground sensor network research is still in theory stage. To establish a simulation platform closer to the real underground environment can reduce the cost of deployment experiments. Based on the two-path model and multipath fading effects, we set up the underground channel model which considers all the ingredients of electromagnetic transmission signal, at the same time, adds the underground-aboveground channel model and the aboveground-underground channel model, and is simulated on NS2. Through the simulation on the platform, this paper analyzes two performance indexes in different communication distance: the throughput and the packet loss rate. The results show that the model can be used to reflect the underground communication well, verify the feasibility of model used in underground environment simulation. The model can be used as reference and tools for future wireless underground network study and research.


Ａn Outlier Detection Algorithm in Big Data Based on Improved KNN

HUANG Jian-li, DU Jin-ran, XIE Jia-quan, QIN Ke

2017, 0(5):  67-70,75.  doi:10.3969/j.issn.1006-2475.2017.05.013

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Aiming at the two shortcomings of KNN algorithm in the field of large data outlier detection, high dimension data is difficult to deal with and time complexity is too high. A classification method based on AOR (Attribute Overlapping Rate) is proposed, and the KNN algorithm is improved. At first the data were reduced the dimension based on AOR, making data processing dimension great increase. Then the traditional KNN algorithm was improved by pruning, reducing lots of invalid computation. The experimental results show that this algorithm has a great improvement on the operational efficiency and accuracy of the large data samples with high dimension and large capacity.


 Design and Implementation of Data Acquisition System of Networked Database

QI Bin

2017, 0(5):  71-75.  doi:10.3969/j.issn.1006-2475.2017.05.014

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 With continous deepening of network, the localization database has been unable to meet the terminals, platforms, and devices collaboration needs. The traditional database acquisition system to collect data algorithm is of slow speed, and it lacks of the ablility of computing in the background. Aiming at a series of problems in the traditional database, networked database data acquisition system design method is put forward. The method used UMTA to interact data in different terminals, so as to optimize the upload data. At the same time, we used DTIT to image terminal data real-time dynamically, in order to ensure data upload obtaining in offline. Design method was tested by simulation experiment, the test results show that the design of networked database data acquistions system of data acquisition and data processing arithmetic has high stability and efficiency, the overall performance of the designed system satisfied the requirement of data acquisition.


 Similarity Measure of Time Series Based on Mean Deviations

CAO Yang-yang, LIN Yi

2017, 0(5):  76-82,87.  doi:10.3969/j.issn.1006-2475.2017.05.015

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 The similarity measure of time series is a hot spot in the field of data mining. High dimensional multivariate time series data generally contain a large amount of noise which is not conducive to the comparison of similarity. In view of the problems in the existing time series measure method, the paper presents a new angle cosine algorithm based on the piecewise linear representation of time series shortly called ACMS. ACMS algorithm will be equivalent to a multi-dimensional vector of time series, the direction and size characteristics of the two vectors are fully considered, which enhances the robustness of time and amplitude variation, reduces human disturbance, and is helpful to the clustering and prediction in data mining.


 Research on Mapping and Storing OWL File to Relational Database

LIU Si-tong1, LUO Jun1, ZHAN Huo-mu2

2017, 0(5):  83-87.  doi:10.3969/j.issn.1006-2475.2017.05.016

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 By analyzing the shortcomings of existing ontology storage schemas, a new schema of storing ontology files in relational databases is proposed. The schema can obtain the implied semantic data automatically while extracting data from ontology files to the underlying database which is designed from the ER（Entity Relationship）diagram of ontology, and it then maps the data in the underlying database into a new database which is convenient for users operation. Experimental results show that the schema not only retains the implied semantic of ontology files, but also improves the efficiency of the data querying, whats more, it facilitates the users operation for the ontology data greatly.


 Study on Model of Auto-generating Test Paper Based on Spatial-temporal Clustering

FAN Yu-ling, DONG Li-kai, WANG Qin, CAO Ai-zeng

2017, 0(5):  88-91.  doi:10.3969/j.issn.1006-2475.2017.05.017

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 To improve the quality of auto-generating test paper, a novel method is investigated on testing data from ACM Online Judge system, in which auto-clustering is done on questions by the features of temporal fluctuations and mean of time consumption firstly, then the difficulty coefficient is calculated through the submitting times and solved times of all types of questions, and eventually the model of auto-generating test paper is constructed by Gaussian stochastic process. Compared to the traditional model, the proposed model can scientifically evaluate testers’ knowledge level in the light of the difficulty and discrimination of questions. The experimental results suggest that the model is simple but effective and has strong adaptability.


 Developing Cache Strategies for Online Ticketing Systems by Analyzing User Behaviors

QIU Peng1, WAN Huai-yu1, LIN You-fang1, LIU Yu2, YAO Yi2

2017, 0(5):  92-98.  doi:10.3969/j.issn.1006-2475.2017.05.018

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With the rapid development of Internet and mobile terminal technology, more and more users prefer to query and book airline tickets on the Internet. In order to relive the heavy operating pressure of online ticketing systems brought by a large number of users’ queries, caching the numbers and prices of tickets (i.e. tickets inventory) has become a widely adopted mechanism by most online ticketing systems. The key issue of cache systems is how to set the time-to-live (TTL) of each query keyword. This paper proposes a cache optimization strategy based on the analysis of users’ query behaviors, which mines the inventory change patterns based on massive amounts of user query logs, and dynamically sets the TTL by forecasting inventory change time interval. We carry out experiments in a real user query dataset collected from an online ticketing site, and the experimental results demonstrate that the proposed method can greatly improve the hitting ratio of cache while ensuring the accuracy of the query results.


 Design of Real-time Data Exchange and Management Software for #br# Maneuverable Command Automation System

SHI Chuan, ZHANG Yang, WANG Li-hua

2017, 0(5):  99-102,108.  doi:10.3969/j.issn.1006-2475.2017.05.019

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Maneuverable command automation system needs to be butted joint with many types of nodes. It need adapt status variation of different node and can apply to various kinds of environment. Real-time data exchange is the key technique of maneuverable command automation system for information sharing and efficient using. Because different hardware platforms, network platforms, database system are used in equipment interconnected with the system, some problems such as multiple models coexistence and data exchange failure appear. In the background of an equipment measurement test, based on requirement analysis, using dynamic multi-thread programming and multicast technique, a real-time data exchange and management software for maneuverable command automation system is designed. The software can transform protocol and record data under multiple systems. It can also display the equipment status in real time, replay the experiment process and analyze the data results. This software worked well in the test.


 Design  and Implementation of Mobile  Class Cloud Platform

XIE Tian-de

2017, 0(5):  103-108.  doi:10.3969/j.issn.1006-2475.2017.05.020

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 The arrival of 5G and the more intelligent mobile terminals bring greater opportunities for the development of mobile learning. According to the developing requirements of students learning and the lack of mobile learning resources platform, this paper focuses on the four aspects which are background meaning, platform design, cloud architecture and main technology applications, and management description to analyze design and implementation of mobile class cloud platform. Through the teaching application, the platform satisfies the students individualized learning, enhances the interaction between teachers and students. So, it has been the important auxiliary tools and instruments for classroom teaching. The platform as a teaching support has achieved the teaching resources management mobility, sharing, fragmented.


 Design and Implementation of Housing Levy and Compensation #br# Information System on State-owned Land

JIANG Hua， XU Guo-cun， YANG Jing

2017, 0(5):  109-112.  doi:10.3969/j.issn.1006-2475.2017.05.021

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 Along with rapid socioeconomic development and expeditious organic renewal of the cities in China nowadays, expropriation and compensation for houses has become a key link in the urbanization process. In such a context, in compliance with the Regulations on the Expropriation of Houses on State-owned Land and Compensation, this paper sets forth the major designing conceptions and functional modules of the information system for the expropriation and compensation. It involves systematically the entire procedures in connection with such expropriation and compensation as specified in relevant regulations and laws. Also, a detailed study is conducted with the case of “Jiaxing City Information System for Expropriation of Houses on State-owned Land and Compensation”. Through practical application of the system, it is shown that the designed conception of the system remains scientific, improves efficiency of expropriation and compensation, thus allows “fairness, equality and openness”, and vigorously promotes the work model of “overt expropriation, universal standardization, online agreement signing”.


 Design and Implementation of Front Acquisition Module Based on Three-tier Architecture

YAN Shao-chun1,2, HAN Shu-ya1,2, ZHANG Ke1,2

2017, 0(5):  113-115,119.  doi:10.3969/j.issn.1006-2475.2017.05.022

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With Chinas “13th Five-Year” overall plan is put forward, the UhV power transmission and the smart grid are still the top priority in the power grid construction projects. The continuous development of smart grid technology has promoted the development of intelligent substation technology, the disadvantages of the traditional substation monitoring system, such as the independent designation and its disunity data, have made it difficult to fit the current demands. The intelligent auxiliary platform has solved the above problem. This paper designs a reliable and steady front data acquisition module based on three-tier architecture including the data layer, protocol layer and management layer, the module has good flexibility and scalability so that it’s able to provide stable and reliable raw data to the platform.


 Research on ITV Traceroute and Packet-capture Without Root Authority

GUO Min-nian, TAO Zhi-yong

2017, 0(5):  116-119.  doi:10.3969/j.issn.1006-2475.2017.05.023

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 In order to improve the perceived quality of the user side of the ITV, when ITV fails, the user can carry out a series of self-diagnosis, including Traceroute, capture test, but to achieve Traceroute and packet-capture functions, the set-top box Root permission must be obtained, but
the Root permission of can not be open the set-top box  to users, users also can not test the ITV fault through the two test schemes. This paper proposes a new method which communicates the application layer with the bottom layer through the Socket without the Root permissions, makes Traceroute and Tcpdump commands be compiled into a binary file to operate on the set-top box. The manufacturers increase service items corresponding to the firmware upgrade, so as to achieve Traceroute and packet-capture functions in non-Root authority, improving the perceived quality of user side.

 Program Design of Control and Display Module of Radio Altimeter’s Testing Equipment

TANG Jin-yuan1, WANG Lin-min2, ZHOU Hong-xia1, WANG Cui-zhen1

2017, 0(5):  120-122,126.  doi:10.3969/j.issn.1006-2475.2017.05.024

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 In this paper, a radio altimeter’s testing equipment is designed and manufactured. Its control and display module can send corresponding control signals to RF signal time delay and attenuation module and to the display’s driver. Successful utilization in daily maintenance of altimeters has proved that this control and display module runs well.


 Design and Implementation of Information Query System

YIN Ji-dong1， LIU Hong1， PENG Song1， ZHANG Hui2

2017, 0(5):  123-126.  doi:10.3969/j.issn.1006-2475.2017.05.025

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 This paper presents a design and implementation of an information query system. The system is not only based on the project called “Chinese domain ontology learning and semi-automatic Construction Methods”, but also it is the basis for the project of clustering algorithm based on sentence structure analysis belonging to the project of the Jiangxi Provincial Department of Education Science and Technology. This paper aims to research a more objective and more integrated query system to get information on the network.