Application of Improved Differential Evolution Algorithm in solving Container-packing problems

Keywords- Navigation; 3D GIS; Road Network Model

Automatic classification of meta-search engine design and implementation

Software College

Northeast University (NEU)

Shenyang, China

E-mail: neu.loner@gmail.com

Yang Tang

Software College

Northeast University (NEU)

Shenyang, China

E-mail: svernetang@gmail.com

Jian Song

Software College

Northeast University (NEU)

Shenyang, China

E-mail:songjian_1989@yahoo.cn

Abstract—as growing network information, as well as the limitations of traditional search engines, so that people searching for information using traditional search engine, the difficulty greatly increased. We have developed a Meta search engine, which can be automatic classification of information, users use this search engine to search for information; on the one hand can guarantee the recall of information. More importantly, the user can quickly obtain the necessary information based on the system for automatic separation of the categories of information. This paper describes the design and implementation of this system.

Keywords-search engine; meta search engine; automatic clustering

Clustering Algorithm Based on Characteristics of Density Distribution

Zheng Hua, Wang Zhenxing, Zhang Liancheng, Wang Qian

National Digital Switching System Engineering & Technological R&D Center

Zhengzhou, China

e-mail: hzheng2007@yahoo.cn

Abstract—Density-based clustering algorithms, which are important algorithms for the task of class identification in spatial database, have many advantages such as no dependence on the number of clusters, ability to discover clusters with arbitrary shapes and handle noise. However, clustering quality of most density-based clustering algorithms degrades when the clusters are of different densities. To address this issue, this paper brings forward a clustering algorithm based on characteristics of density distribution--CCDD algorithm. Firstly, it divides data space into a number of grids. Secondly, it re-divides data space into many smaller partitions, according to each grid’s one-dimensional or multi-dimensional characteristics of density distribution. Finally, it uses an improved DBSCAN algorithm, which chooses different parameters according to each partition’s local density, to cluster respectively. The experimental results show that CCDD algorithm, which is superior in quality and efficiency to DBSCAN algorithm, can find clusters with arbitrary shapes and different densities in spatial databases with noise.

Keywords-data mining; clustering; density-based clustering; DBSCAN algorithm; grid; data space partition

Based on Spectral Information Fusion Soft Senser Modeling of Wet Ball Mill Load

ZHAO Li-Jie1,2

1.key laboratory of integrated automation of process industry, Ministry of Education,Northeastern University

Shenyang, China

e-mail: zlj_lunlun@163.com

TANG Jian 1, YUE Heng1, CHAI Tian-you 1

2. College Of Information Engineering,Shenyang Institute of Chemical Technology

Shenyang, China

e-mail: tjian001@126.com

Abstract—Ball mill load measurement is essential to control and operational optimization for the wet grinding process, which affects the production efficiency and energy consumption. A frequency spectral information fusion soft sensor model is proposed to estimation the mill load in the paper. PCA is used to extract the feature of frequency spectrum to deal with many, noise and collinear variables. FFT is used to estimate the power spectral density(PSD)of the vibration and acoustic signal. PLS were combined with PCA scores inputs to develop mill load. Principal component numbers are selected by an optimize model. A case study shows that the proposed frequency spectral information fusion soft sensor model is effective, and produces better predictive performance than single sensor model.

Keywords- Ball mill load; Soft sensor; frequency spectrum; PCA;PLS

Design of Ultra-broadband Microwave Sources Based on ADF4350

Hui XU and Liang PENG

School of Information Science & Engineering,

Shenyang University of Technology,

Shenyang 110870, P. R. China

xhimage@163.com

Abstract—In consideration of the requirement of miniature, high resolution and ultra-broadband on the frequency synthesizer recently, this paper presents a design of miniature ultra-broadband and high resolution frequency synthesizer. Based on the theory of PLL, ADI’s wideband clock synthesizer ADF4350 with integrated a on-chip voltage-controlled oscillator (VCO) is used to be the core component of the system to design a ultra-broadband microwave signal source with the bandwidth ranging from 800MHz to 4000MHz. The hardware circuit is described in detail, and simulation software ADIsimPLL is used to aided design the loop filter of the circuit. PLL lock time, noise and other important indicators are also analyzed in this paper. A microstrip balun is design to converse the differential balance outputs to an unbalance output. Spectrum analyzer is used to analyze the system, and the power of each frequency is stable which meets the requirements in the entire frequency band.

Keywords-ultra-broadband; ADF4350; frequency synthesizer; PLL; microstrip Balun

New Model of SaaS: SaaS with Tenancy Agency

Wenyu Liu1, Bin Zhang1, Ying Liu2, Deshuai Wang1，Yichuan Zhang1

1College of Information Science and Engineering, 2Software College

Northeastern University, NEU

Shenyang, China

zhliuwenyu@163.com

Abstract—SaaS is a new delivery model for the software development and application. Providers tend to make their SaaS products achieve higher level of maturity, serves more people, satisfy more different individual requirements, while maintaining efficiency and flexibility. This paper introduces a new SaaS application model called SaaS with tenancy agency. It adds two new layers: tenancy process layer and tenancy agency layer, to traditional SOA architecture. First, the system proposed in this paper splits the business process into unified elements, and handles these elements in the same actuator. The actuator focusing on repeated work reduces processes switching time and promotes efficiency. Second, the system combines these elements to tenancy processes to achieve customization of the process. Third, the system sets one tenancy agency for each group of tenants with similar requirements. In such architecture, agencies avoid being too huge and work with noninterference. Platform has been made to produce and run SaaS in this architecture. SaaS with tenancy agency is proved to be feasible.

Keywords-SaaS; tenancy; customizable; maturity

Researh On a New Model of Numerical Control Program Interpreter

Haitao Hong

School of Computer Science and Technology

University of Science and Technology of China

Hefei, Anhui, P. R. China

hhtao@mail.ustc.edu.cn

Dong Yu

Shenyang Institute of Computing Technology of Chinese Academy of Sciences

Shenyang, Liaoning, P. R. China

yudong@sict.ac.cn

Xiaohui Zhang and Long Chen

Shenyang Institute of Computing Technology of Chinese Academy of Sciences

Shenyang, Liaoning, P. R. China

{zhangxiaohui & chenlong}@sict.ac.cn

Abstract—With the constant development of numerical control technology, the expansion of CNC (computer numerical control) system function is restricted with the interpreter lacking in universality and expansibility. In order to deal with this problem, a new model of interpreter was proposed based on the analysis of NC (numerical control) program basic format. The model is consisted of a NC program rules module and a processing module which includes a lexical analysis sub-module, a syntax analysis sub-module and a machining command converting sub-module. The legal word table and the machining function definitions table in the NC program rules module assist the processing module to interpret the NC code. It is very pivotal for the interpreter to be expansible that the CNC system developers can easily modify the NC program rules module and other sub-modules in accordance to different functional requirements. The design process of every module was expatiated and an interpreter prototype was developed based on this mechanism, which verified the validity of this proposed approach.

Keywords: NC program; CNC system; interpreter.

Dynamic Modeling of a PEM Fuel Cell Stack Thermal System

Li Deng, Xian-Rui Deng, Member, IEEE,

Ning Ma

Department of Computer Science

Tangshan, China

xianruideng@yahoo.com.cn

Ping Wei

China University of Petroleum

Beijing, China

mail_weiping@yahoo.com.cn

Abstract—A dynamic model for the thermal system of a PEM fuel cell stack is proposed in this paper. It is based on the theory of heat transfer and mass transfer. And it is intended to be used for system analysis and control. The model can not only predict the variables and states in steady case, it can also describe their transient process when the output current varies with load. Besides, it can give insight of the states of different parts of the fuel cell stack. The simulation results show the model is valid and useful.

Keywords-PEM fuel cell; stack; modelling; thermal system; transient process

Criminal Investigation Expert System Based on Extension Intelligence

Ping He, Zengtang Qu

Department of Information

Liaoning Police Academy

Dalian, 116036 China

e-mail: heping2000@163.com

Abstract—Based on the theoretical research and actual developing status of artificial intelligence and expert system, this paper discusses several issues in the development of criminal investigation expert systems (CIESs). In particular, we focus on an extension decision support system (EDSS) which employs domain knowledge of recidivism in the crime analysis system. Using the elicited domain knowledge, the EDSS tool uses deductive reasoning techniques to make inferences and provide suggestive courses of action to support the investigatory functions of police, attorneys, or probation officials. In this paper, we present an experience mapping intuitive inversion principle (EMII), and we describe the rationale for developing the CIESs, why we focus on the criminal analysis system, the methodology for eliciting EDSS domain knowledge and experience, and a scenario of what we are implementing as a proof of intuition learning system. A series of elicitation sessions which epitomize the EDSS have been discussed in the paper. After presenting an overview of the system and the major research choices, we describe in detail the system’s modules and present examples of its potential use.

Study on Unascertained Comprehensive Evaluation Model Basing on Modified Entropy

Xiao MeiDan, Liu Bin, Dong FenYi

College of Information and Management Science

Henan Agricultural University

Zhengzhou, China

Xiaomeidan_fujian@126.com

Abstract—Unascertained theory and method are mathematical tool to deal with uncertain information,which has rigorous logic. Traditional unascertained evaluation model determines index weight by information entropy method usually, in which the weight value is more objective, but information entropy method can’t express the knowledge and experience of experts and the opinion of decision makers,and sometimes obvious deviation may exist between the weight by entropy and the actual important degree,and even may lead to incorrect weight.This paper introduces the analytic hierarchy process to modify information entropy,and establishes the unascertained measure model basing on modified entropy weight.The model combines the weight determined by experts and by entropy weight to solve the index weight,which gives a comprehensive consideration of subjective and objective factors,and the method can improve the accuracy of weight value and the reliability of evaluation results.

Keywords- Unascertained measure; Entropy weight; Analytic hierarchy process;Modified entropy weight

Active Sensing Based Cooperative Target Tracking using UAVs in an Urban Area

Lin Wang, Fei Su, Huayong Zhu, and Lincheng Shen

College of Mechatronic Engineering and Automation

National University of Defense Technology

Changsha 410073, China

wanglinhunan@gmail.com

Abstract—To the problem of cooperative ground moving target tracking using UAVs in an urban area, a novel method is presented, which based on target state fusion estimation and prediction, as well as on-line trajectory planning. Firstly, based on active sensing, a solving framework was presented, the formal representation and system model of cooperative target tracking using a team UAVs was established; secondly, a filter, named unscented information filter, was suggested for fusion estimation and prediction of the target state; thirdly, with a predicted target state, an on-line trajectory planning algorithm was presented, which based on receding horizon control and genetic algorithm. Simulation results demonstrate that the performance of target tracking was improved with regard to the predicted target state.

Keywords-UAV; ground moving target; cooperative tracking; active sensing; fusion estimation; on-line trajectory planning

Input-output Pairing Based on the Control Performance Assessment Index

S. Choobkar

K. N. Toosi University of Technology

Tehran, Iran

Choobkar@ee.kntu.ac.ir

A. Khaki Sedigh

K. N. Toosi University of Technology

Tehran, Iran

Sedigh@kntu.ac.ir

A. Fatehi

K. N. Toosi University of Technology

Tehran, Iran

Fatehi@kntu.ac.ir

Abstract—In this paper, the relation between Input-output pairing and minimum variance (MV) index as a performance index is studied. Control structure selection or the input-output pairing problem is a key step in designing decentralized controllers for multivariable. The Relative Gain Array (RGA) is an important tool for the control structure selection procedure. In this study, RGA is calculated and decentralized minimum variance controllers are designed for each feasible pairing. The MV performance index will be calculated from the closed loop transfer function using the markov parameters. It is shown that the value of the MV index can propose an input-output pairing that leads to minimum output variance. Several simulation results are provided to show the main points of the paper.

Keywords: Performance Assessment, Minimum Variance, Input-output Pairing, Harris Index.

Application and Research of JBPM Workflow Based on JBoss Seam

Wang Yonggui

Dept of Software

Liaoning Technical University

Huludao, Liaoning, China

yghl2000@163.net

Li Haishan

Dept of Electronics and Information Engineering

Liaoning Technical University

Huludao, Liaoning, China

sovereignlhs000@163.com

Abstract—JbossSeam as a”deep integration” framework, absorbs all essential in Java EE5 and spring .It provides a unified component model for integrating the entire framework. JBPM is a flexible and extensible workflow management system, used to create different users, different applications, different services to interact between business processes. This article describes Seam Framework features and JBPM workflow principles. And through a specific example research in seam integration it simplifies the JBPM workflow of the whole process.

Keywords- JBoss Seam;Component Model;JBPM;Workflow;

Study on Soft-sensing Model for Condenser Vacuum Based-on Support Vector Regression

Lei WANG

Shenyang Institute of Engineering,

Shenyang 110136, Liaoning, China,

zrqwl2003@126.com

Rui-qing ZHANG

Thermal Power Engineering Department,

Shenyang Institute of Engineering,

Shenyang 110136, Liaoning, China,

dlxyzrq2001@163.com

Abstract—In this paper, depending on the interrelation of condenser’s operational parameters, the factors which affect the vacuum of condenser are analyzed. And a soft-sensing model for condenser vacuum is given by using Support Vector Regression (SVR), then the model is verified and parameters are discussed based on the data of the 300MW steam turbine unit, and the prognostication precision is compared with a RBF model. The results indicate that model based-on SVR has forcible generalization ability and stability and can be adapted to application. The condenser vacuum can be calculated by using the soft-sensing model when the vacuum measuring point is fault, so the model based-on SVR provides a redundancy method for the measurement and diagnosis of condenser vacuum.

Keywords- support vector regression; soft-sensing; steam turbine; condenser vacuum

Research on Service-Oriented Collaboration Manufacturing Platform and Its Application

MA Jun, XIAO Yanqiu, LI Hao, LUO Guofu

Department of Mechanical-Electronic Engineering

Zhengzhou University of Light Industry

Zhengzhou, China

e-mail: majunfirst@sohu.com

Abstract—To the issues of business processes changing frequently, heterogeneous system islanded and manufacturing resource hard to reuse during collaborative manufacturing, a service-oriented collaborative manufacturing mode was presented. First of all, the concept of collaborative manufacturing service mode and its characteristics were expounded, and secondly, the model of task unit and service unit for collaborative manufacturing were restructured in logic and then described in the form of meta-model. Collaborative manufacturing task matching to collaborative manufacturing service was achieved, and manufacturing service chain was established quickly. Finally, service-oriented platform architecture for complex products collaborative manufacturing was build. Practice shows this platform would enhance productivity and improve enterprise manufacture collaboration effectively.

Keywords-complex products; collaboration manufacturing; meta-model; service oriented architecture; manufacturing service chain

Research on Vehicle Rollover and Control

WU Xinye*

Department of Mechanical & Electrical Engineering

Xiamen University

Xiamen,Fujian

*e-mail: drsunshine@163.com

GE Xiaohong

Department of Mechanical & Electrical Engineering

Xiamen University

Xiamen,Fujian

e-mail: xhge@xmut.edu.cn

LUO Shuyou

Department of Mechanical & Electrical Engineering

Xiamen University

Xiamen,Fujian

e-mail: luoshuyou@126.com

HUANG Hongwu

Department of Mechanical & Electrical Engineering

Xiamen University

Xiamen,Fujian

e-mail: hhw6796@xmut.edu.cn

Abstract—Rollover is one of the main traffic accident forms for vehicle.According to the datas recently, rollover has become the second most serious accident. However, the study on rollover in China is at the beginning.The study on vehicle rollover is based on the theories of rollover. In order to optimize vehicle configuration,and enhance vehicle rollover stability,and ensure the road safety,rollover model is proposed and simulated in computer.Besides, the reasons that have effect on rollover are analyzed in detail. The final result can provide a scientific basis for the optimization of the vehicle’s structure and improve the stability of vehicle rollover.Furthermore, some active control systems with rollover prevention are analysized and proposed. At last, the effective control system and the project how to achieve it are provided.

Keywords-Rollover; Roll Angle; Simulation; Stability of Vehicle Rollover; Rollover Threshold

A QoS prediction approach based on improved collaborative filtering

Li Cui-cui

Dept. of Electronic and Information Engineering

Liaoning Technology University,

Huludao Liaoning ,China

yuzhongzhu110@163.com

Deng Yue

Dept. of Electronic and Information Engineering

Liaoning Technology University,

Huludao Liaoning ,China

422520788.dengyue@163.com

Cui Li-qun

Dept. of Software

Liaoning Technology University,

Huludao Liaoning ,China

cuiliqun330@163.com

Feng Wen-xiang

Dept. of Electronic and Information Engineering

Liaoning Technology University,

Huludao Liaoning ,China

wenxiang0508@163.com

Abstract—Consumers need to make prediction on the quality of unused Web services before selecting from a large number of services. Usually, this prediction is made based on other consumers’experiences. Being aware of the similarity of consumers’ assessment, this paper proposes a QoS prediction approach. This approach calculates the similarity among consumers, and then uses a improved collaborative filtering technology to predicting the QoS of the unused Web services. Experimental results show that with this approach preciseness of QoS prediction for Web services is higher than other prediction approaches, and it has good feasibility and effectiveness.

Keywords-Web service;QoS;collaborative filtering; similarity

Using Learning Classifier to Recognize Face Image

( Institute of Computer & Communication Engineering, China University of Petroleum, Shandong, China, 257061)

E-mail: huiyu@upc.edu.cn；

Abstract: This paper proposed how to recognize face image using learning classifier. The main idea of SVM is to give an optimal hyper-plane for two categories classification issues. The max value of k decision functions is used to decide sample data x belong to which class. Experimental result shows that the proposed face recognition algorithm is effective.

Keywords: face image recognition; learning classifier; support vector machine ;

Non-Fragile H∞ Control for Uncertain Fuzzy Descriptor Systems Based on Delay-Dependent Method

Department of Automatic Control Engineering

Shenyang Institute of Engineering

Shenyang, China

e-mail: tianwh@sie.edu.cn; wcx2581@sohu.com; zhaoyan@sie.edu.cn

Jun Yang

Northeastern University

Shenyang, China

e-mail: jyneu@126.com

Abstract—In this paper, the delay-dependent non-fragile robust H control for a class of fuzzy descriptor time-delay systems with norm-bounded parameter uncertainties is investigated. First, a new delay-dependent non-fragile H stabilization method is proposed via a state feedback fuzzy controller, which guarantees the closed-loop nominal system to be regular, impulse free, asymptotically stable. Then, sufficient conditions for the solvability of the controller design problems of different gain cases are presented in terms of linear matrix inequalities (LMIs) and satisfies an H-norm condition for all admissible uncertainties. Finally, a numerical example is provided to demonstrate the application of the proposed method.

Keywords- uncertain fuzzy descriptor time-delay systems, non-fragile control, H control, delay-dependent criteria, linear matrix inequalities (LMIs)

Method of Information System Authority Control Based on RBAC in Web Environment