Table of Content

15 October 2016, Volume 0 Issue 10

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An Improved Sound Signal Compression Algorithm Based on Discrete Cosine Transform

XIN Xin1,3, CHEN Shudong2, TONG Minglei4, HU Wenhao1,3, LIU Chenwei1,3, GE Haodong3

2016, 0(10):  1-5.  doi:10.3969/j.issn.1006-2475.2016.10.001

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Sound compression and transmission is very important part in abnormal sound detection system. However, the existing sound signal compression methods cannot meet the realtime requirements of the system. For this situation, the paper proposed a sound signal compression algorithm adopted piecewise fitting of limited angle error and discrete cosine transform. The algorithm first set a reasonable angle error, according to waveform characteristics, from the first sampling pointbypoint to determine whether it can be compressed according to the geometric angle, then piecewise analog sound signal waveform, after that using the traditional algorithm based on discrete cosine transform, select the appropriate threshold to compress again. Simulation results show that, the proposed algorithm has better performance compared with the traditional compression algorithm.


A Hybrid Ant Colony Algorithm Based on MapReduce

CAI Ming， ZUO Yongan

2016, 0(10):  6.  doi:10.3969/j.issn.1006-2475.2016.10.002

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 The traditional ant colony algorithm has a slow rate of convergence and is easy to result in local optimal solution. This paper raises a new hybrid ant colony algorithm, which is based on a mixed mode of elite mode and normal mode. The algorithm selects a mode proportionally in each iteration to obtain the optimal path. In this way, we are able to find the optimal path in a less time and avoid falling into local optimal solution. Because of the parallel property of ant colony algorithm, it’s feasible to use MapReduce to run it. Experimental results show that the MapReducebased hybrid ant colony algorithm can find out the optimum path in a relatively less time.

Application of Modified Particle Swarm Optimization in Vulcanization Dispatch

HU Naiping， GUO Chao

2016, 0(10):  10-14.  doi:10.3969/j.issn.1006-2475.2016.10.003

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Based on a particle swarm optimization algorithm, a scheduling strategy was put forward in connection with the characteristics of vulcanization. Firstly, the new PSO algorithm which combining the advantages of local search and global search was introduced, the concept of local extreme is induced to modify speed formula, the advanced algorithm avoids the premature convergence problem effectively. Then, the new PSO algorithm combined with GA operators. The method makes result approach to the best value. An encoding based on curing workshop production tasks made production tasks correspond vulcanization machine. Compared with other algorithms used in the vulcanization dispatching, the new PSO algorithm displays better validity and feasibility.

A Cloud Computing SEFFD Algorithm for Probability #br# Distribution of Virtual Machine Resource

WU Weimei1， CHEN Xun2， DUAN Banxiang1， YANG Zhongming1， ZENG Wenying1

2016, 0(10):  15-20.  doi:10.3969/j.issn.1006-2475.2016.10.004

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Aiming at the problem of NP hard optimization in the process of cloud computing virtual machine resource allocation, a new method based on cloud computing simulated evolutionfirst fit decreasing algorithm is proposed to improve the efficiency of virtual resource allocation optimization. Firstly, the optimal degree evaluation scheme of virtual machine resource allocation is put forward by using of the strong ability of climbing of simulated evolution, and for which the choice of virtual resource allocation, evaluation and sorting process is carried out; Secondly, the first fit decreasing rule was adopted to the sort of virtual machine and physical host resource allocation to improve the efficiency and effectiveness of resource allocation; At last, by comparing the experimental results with the CloundSim Grid Laboratory and Gridbus cloud simulation platform, it shows that the proposed algorithm is more than 55% of CPU usage, memory usage rate can reach more than 60%, which can improve the utilization rate of the host resources, and achieve the purpose of energy saving.

Optimal Search Algorithm for Missing Target Based on Bayesian Approach

YU Mei1, XU Zijian2

2016, 0(10):  21-24.  doi:10.3969/j.issn.1006-2475.2016.10.005

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Based on Bayesian approach, an optimal searching algorithm is proposed in the article to solve the problem of searching for missing target in a particular area. This article introduces the application of Bayesian approach and optimization method of searching strategy, then simulating the searching process of different strategies and making comparisons. The results indicate that this strategy put forward in this article is more effective than random search and linear search. This article also explores the effects of the quantity of grids on search efficiency.

Energysaving Optimization Model Under Big Data Environment #br# Based on Genetic Algorithm

XU Yuanbin

2016, 0(10):  25-29.  doi:10.3969/j.issn.1006-2475.2016.10.006

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To overcome the problem of the high power consumption of the servers in the cloud computing environment, this paper proposed an energysaving optimization model under big data environment based on genetic algorithm, which optimized the task scheduling to reduce the server power consumption, and then this paper designed some algorithms to formally indicate the model. We test the algorithm in real world, the experiment result shows the proposed model and the algorithms can effectively reduce server power consumption, which improved the system resource utilization.

Recommendation System for Large Website Based on Enhanced Association Rules Mining

ZOU Yu， XIAO Qian， WU Shurong

2016, 0(10):  30-34.  doi:doi: 10.3969/j.issn.1006-2475.2016.10.007

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Aiming at the problem that the content based recommendation system has high delay and low degree of satisfaction of recommendation in the large web site, an enhanced

association rules mining based recommendation system for large web site is presented. Firstly, the items with low frequency occurrence are eliminated so that the database is

minimized; Then, a counter is introduced to each transaction, and the counter is used to count the number of replication of the transaction instead of the directly clustering

process of repeated transactions in the traditional recommendation system, this improved strategy not only improves the efficiency of recommendation but also the scalability of

the recommendation engine. Real data based experiments results show that the proposed system is real time and has high recommendation accuracy.

A Clustering Routing Protocol for Wireless Sensor Network

LI Huan， XU Du

2016, 0(10):  35-39.  doi:10.3969/j.issn.1006-2475.2016.10.008

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We propose a new cluster routing protocol method which combines EEMLC with DSR (called EEMLCDSR) for realtime monitoring the physiological parameters of special

patients in moving such as patients with serious infectious disease, senile dementia patients, patients with mental disorder, and so on. Our approach is based on wireless sensor

networks having the advantages of AdHoc Network and multihop routing and searches for network topology changes caused by nodes moving randomly and the routing protocols for

WSN. Experiments simulated on NS2 show the practicability of the new method.

Application of Multiadaptive Lifting Wavelet Denoising in Computer Videointercepting

REN Kaiqi， DAI Hepeng， ZHENG Jun， WANG Jingjing

2016, 0(10):  40-43.  doi:10.3969/j.issn.1006-2475.2016.10.009

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For computer video radiation signal of low SNR, denoising is necessary for restoring video signal accurately. Based on the basic structure of lifting wavelet

algorithm, the denoising algorithm of multiadaptive lifting wavelet is proposed. In the operations of predicting, updating, and threshold denoising, the adaptive factors are

added. The algorithm of traditional denoising， lifting wavelet denoising, and multiadaptive lifting wavelet denoising are used to deal with the computer video radiation

signal of low SNR, the results show that the effect of multiadaptive lifting wavelet denoising algorithm is better than others.

Machine Vision AGV Indoor Navigation Method Based on Ground Feature Block Matching

WANG Fan1, XING Yanwen2

2016, 0(10):  44-48.  doi:10.3969/j.issn.1006-2475.2016.10.010

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A machine vision technology is used to detect the ground feature, based on block matching algorithm for AGV navigation. First, the overlap of each two frame images is

identified. Second, the overlap of two images of different frames is found by using feature block matching algorithm. Last, through calculating the overlap image in the previous

frame offset, the distance of the car moving is calculated. So far, the calculation of the cars track is completed. Experiment results show that prototype system of this

method reached the anticipated result under different conditions of ground, and the method is proved to be effective.

Research on Stitching Method Based on UAV Aerial Image of Road

ZHOU Min1, LIU Ningzhong2, WANG Lichun2

2016, 0(10):  49-53.  doi:doi: 10.3969/j.issn.1006-2475.2016.10.011

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With the rapid development of the highway construction, using traditional artificial view to detect road marking and road infrastructure is no longer applicable. With

the mature of the UAV aerial technology, using UAV aerial to analyze the road infrastructure will undoubtedly be a better way of detection. In this paper, we mosaic the road

images taking by the UAV aerial, and propose a new optimization method. Firstly, we extract the road image point by the SURF method, and then we match and filter the feature

points by BBF algorithm and our optimization algorithm, finally we use image weighted method to mosaic the road images and get a whole highway image. The experimental results

show that the method has stronger applicability and generality, can meet the practical requirements.

Modeling Analysis of Management Information Platform of #br# Crop Seed Business Recordfilling Based on UML

TIAN Yaling

2016, 0(10):  54-61.  doi:10.3969/j.issn.1006-2475.2016.10.012

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At present, agricultural departments still employ a traditional manual method to manage crop seed business recording. In view of this situation, this paper conducts a

modeling analysis of the main function modules of the management information platform of crop seed business recording by means of the objectoriented method on the basis of a

study of the workflow of crop seed business recording and a description of the business requirements of the platform mentioned above. Relying on this, it proposes a model and a

method to manage crop seed business recording by application of Internet technology. Experimental results show that the management information platform of crop seed business

recording, whose designing is based upon the model initiated in the paper, can well satisfy the business demands of agricultural departments in charge of the management of crop

seed business recording and it also can serve as a useful exploration of the ITbased crop seed business recording system.

Research on Scheduling Problem of Software Testing Platform Based on Cloud Computing

TIAN Liying, WANG Yu, JIANG Xueting

2016, 0(10):  61-66.  doi:doi: 10.3969/j.issn.1006-2475.2016.10.013

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In recent years, the rise of cloud computing technology was favored for its superior computing power, ondemand resources, charging by volume or time and other characteristics. While at the same time, the traditional software testing techniques still plague many enterprises for the high cost and low efficiency problems. So to migrate software testing to cloud computing environment has become welcomed. In this paper it briefly introduced the basic definition and characteristics of cloud testing, elaborated the framework of cloud testing platform and improved the dynamic scheduling algorithm. In the end, the emulation experiments prove the effectiveness of this algorithm by CloudSim a cloud computing emulator.

SQL Injection Detection Based on Neural Network

ZHANG Zhichao， WANG Dan， ZHAO Wenbing， FU Lihua

2016, 0(10):  67-71.  doi:doi: 10.3969/j.issn.1006-2475.2016.10.014

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A novel approach to detect injection attacks was presented by identifying characteristics of injection attacks and using a neural network model to determine the likelihood that a given query is malicious. Based on the recognition of SQL character injection attack, the analysis model comes into being used to determine whether to inject SQL statements of model by using a large number of known data and the neural network algorithm. After that, based on the neural network model presented, the user input SQL statement can be directly analyzed and processed. This approach is implemented in a proxy that locates between a Web application and a database and prevents suspected malicious queries from being executed. This requires no modification of existing application code and is capable of identifying unknown attacks. Experimental results show that the model can effectively improve the accuracy and efficiency of the detection.

IDbased Forward Secure Threshold Proxy Signature Scheme

LI Cun, LI Zhihua

2016, 0(10):  72-76.  doi:doi: 10.3969/j.issn.1006-2475.2016.10.015

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In terms of bilinear pairing and identityrelated cryptography, a forward secure threshold proxy signature scheme is proposed. The scheme realizes the periodic updating of the proxy signature key, and effectively improves the security of proxy signature. The analysis results show that the proposed scheme is safe and reliable, and has forward security, backward security and anonymity.

Keyinsulated Proxy Signature in Standard Model

YAN Songhui， WAN Zhongmei

2016, 0(10):  77-83.  doi:doi: 10.3969/j.issn.1006-2475.2016.10.016

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Keyexposure seems inevitable in proxy signature scheme. To minimize the damage caused by key exposure in proxy signature scheme， keyinsulated mechanism to proxy signature scheme was introduced. However， existing keyinsulated proxy signature schemes are based  on identity. In this paper， we present a keyinsulated proxy signature scheme in the standard model. The scheme is keyinsulated security and unforgeability of the proxy signature.

A Low Cost Secure Ownership Transferring Method of RFID Network

CHU Guiyang

2016, 0(10):  84-87.  doi:10.3969/j.issn.1006-2475.2016.10.017

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 Concerned at the problem that the existing ownership transferring protocol has high computational and storage cost, a low cost ownership transferring protocol of multi

tags and multiowners is proposed. Firstly, a pseudorandom number is generated by the third trusted party and the secret is delivered to new owner, the secret is verified

by new owner; then, the secret is delivered to all tags, the secret is verified by each tag. Only one XOR operation and 128 bitwise pseudorandom number generation operations

are used in the proposed method and the computational load of passive tag is satisfied, and the proposed method shows good privacy and security performance. Simulation results

show that the proposed method performs lower endtoend delay.

Research and Implementation of Native Layer Reinnforcement #br# Technology Based on Android Platform

ZHANG Zhen, ZHANG Long

2016, 0(10):  88-91.  doi:10.3969/j.issn.1006-2475.2016.10.018

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After Google launched NDK, it enables developers to use more secure C/C++ language to develop Android applications. Based on the current DEX reinforcement scheme

analysis, Native code security and ELF file parsing, a new Native layer reinforcement scheme based on a specific section is proposed to achieve the key program logic hiding, and

effectively increases the safety of Android program for reverse engineering.

An Improved Method of Data Integrity Auditing for Cloud Storage

DAI Yingling， CHEN Junjie， ZHOU Dehua， CHEN Jielang

2016, 0(10):  92-95.  doi:10.3969/j.issn.1006-2475.2016.10.019

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Cloud storage service provides cloud users with significant convenience. However, losing the physical possession makes users can not ensure the integrity of the

outsourced data. After analyzing the current auditing scheme, the paper proposes a RSA Signaturebased data integrity verification scheme, which is privacypreserving, also

supports public auditing and locating the error data. The detail security analysis and performance analysis show that the proposed scheme is secure and efficient.

Design and Implementation of Edible Gelatin Production Safety Quality Traceability System

LIU Boping1,2， QIU Feng1,2， WANG Lei1,2, HU Min1,2

2016, 0(10):  96-99.  doi:10.3969/j.issn.1006-2475.2016.10.020

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Edible gelatin as a kind of commonly used food additives, are widely used in the food industry production process, it is of great significance to ensure food safety by

the software way to trace the quality of the production process. In this paper, through analysis of the edible gelatin production process, an edible gelatin production safety

quality traceability system is designed and implemented, and the design and implementation method of the system is introduced and expounded also.

Architecture Design of Orchard Plant Protection Robot System Based on CPS

JI Guangyong1, AI Changsheng2, YANG Tingsong1, WU Delin3

2016, 0(10):  100-103.  doi:10.3969/j.issn.1006-2475.2016.10.021

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 Cyberphysical system(CPS) is a new intelligent control system which is highly integrated in computing, communication, control and physical processes. It has the

characteristics of safety, reliability, real time, high efficiency, and has broad application prospects. This paper applies CPS to the orchard plant protection robot system，

and puts forward the fourlayers architecture framework according to the features of CPS and plant protection robot system. The architecture is divided into physical layer,

network communication layer, data service layer and user application layer. This paper introduces the working process of plant protection robot CPS, and the composition and

function of each layer are described in detail.

Unimodal and Multimodal Human Perception of Affective States #br# During Humancomputer Interaction

JIANG Xueting, WANG Yu, TIAN Liying

2016, 0(10):  104-111.  doi:10.3969/j.issn.1006-2475.2016.10.022

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Emotion perception is one of the most important research topics in the field of humancomputer interaction. With the increase of channels, research costs and the

workload are also increasing. In this paper, the human’s basic emotion states were been detected by untrained people in seven conditions during humancomputer interaction, and

assess stability. It computed and analyzed the agreement between two observers(oo) with mixedeffects logistic regression models. The result is generally low. In addition to

the overall consistency of the unimodal and multimodal condition, it also compared the consistency of individual affective states in a single model, and classified the results

with the superadditive, additive, redundancy and inhibitory effect. The significance of the results of automatic emotion detection is still been discussed.

UWB Antenna of 5.8 GHz Active RFID Tag

FU Kang1,2， HU Shaowen1,2， TANG Hui1,2, LIU Boping1,2, HU Min1,2

2016, 0(10):  112-115.  doi:10.3969/j.issn.1006-2475.2016.10.023

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Ultra Wideband（UWB） antenna used for 5.8GHz active RFID tag is designed. The antenna is etched on a coppercladding substrate，  whose material is F4BK2 with

relative permittivity of 2.65, and the magnitude is 30.0mm×30.0 mm×1.5 mm. The parameters of the antenna are simulated and optimized with HFSS. The trapezoidal radiating patch

is used to broaden the impedance bandwidth. The bandwidth ( return loss≤-10 dB) is from 3.1 GHz~11.2 GHz that means a relative bandwidth of 113%. A prototype antenna is

fabricated, the results show that good agreement has obtained between the simulation and experiment and the proposed antenna can not only realize the ultrawideband, but also

have the merits of simple structure, small size and ease of integration.

A Course Selection Assistance System Based on SSM Framework and HttpClient Component

LIAO Jiacan， HOU Chaojun

2016, 0(10):  116-120.  doi:10.3969/j.issn.1006-2475.2016.10.024

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This paper is aimed to provide a course selection assistance system for the school’s educational administration management system, which enables students to select

the course with efficiency. Our system is composed of user and administrator platform. In particular, the system is developed by using Java language, which is comprised with the

modules of course selection and data synchronization. Here, the frontUI is developed by Bootstrap framework, and the backend is built by SSM framework. The Web crawler based

on HttpClient is a component of system for data synchronization and making service requests. The result shows that the system can effectively improve the efficiency of course

selection.

An Invoice Management System Based on Load Balancing

RAN Xun， YUAN Jianhua， LIU Yuguo， HU Yang

2016, 0(10):  121.  doi:10.3969/j.issn.1006-2475.2016.10.025

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In order to optimize invoice processing, a solution based on the mobile phone platform is proposed. Comparing with handling the invoice focused in finance shared

service center, this solution removed the intermediate nodes, applied image recognition technology to optimize the process. This paper studies the mobile platform technology and

the image recognition technology, and focuses on the business processes and the technology verification. The information barriers between general staff and invoices auditors are

broke down in the solution, and the invoice image taken by mobile phone under natural conditions can be verification recognized. Meanwhile, to meet users’ needs in terms of

performance and efficiency, servers cluster is built to achieve server load balancing.