Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering

Session: Artificial Intelligence and Control Automation

22 articles
Proceedings Article

Novel Stable Walking for Humanoid Robot Using Particle Swarm Optimization Algorithm

T.T. Huan, H.P.H. Anh
This paper describes a novel walking gait generation algorithm based on inverse kinematics for a biped robot. The proposed algorithm uses the PSO (Particle Swarm Optimization) algorithm in order to find optimized values for the five walking algorithm parameters. The proposed experiment approach is tested...
Proceedings Article

Two-Step Image Hallucination and Its Application to 3D Medical Image Super-resolution

Y. Kondo, X.H. Han, X. Wei, Y.W. Chen
In medical diagnosis, high resolution (HR) images are indispensable for giving more correct decision. However, in order to obtain high resolution medical images, it is necessary to impose long-time, hence it leads to heavy burden to the patient. Therefore Super Resolution technique, which can generate...
Proceedings Article

Elongation Prediction of Strip Steel in Annealing Furnace based on KPCA and Optimized LSSVM with ICPSO

C. Wang, J.H. Wang, S.S. Gu, X.K. Fang, Y.X. Zhang
The elongation prediction of strips in furnace is extremely important in annealing process, which determines the quality and yield of product [1, 2]. Furthermore, the safety of air-knife also depends on the prediction accuracy [3, 4]. Thus, the optimal soft-sensing method is proposed based on kernel...
Proceedings Article

Construction of Probabilistic Atlas and Its Application to Detection of Lacunar Infarcts

H. Tanaka, A. Shiino, T. Tateyama, X.H. Han, X. Wei, Y.W. Chen
In this paper, we propose using probabilistic atlas of lacunar infarcts to improve accuracy of lacunar infarcts detection. The cerebral vascular disease is responsible for about 10% of all death in Japan. Therefore, Brain dock is popular method to take preventive measures in Japan. In this Brain dock,...
Proceedings Article

Statistical Shape Analysis for 3D Facial Images

M. Nakatsu, X.H. Han, R. Kimura, Y.W. Chen
Recently, the genetic association of human facial morphological variation attracts substantial attention. This study proposes a general framework for analyzing facial morphology variation using scanned 3D landmarks, and explores the phenotype features of facial morphology for identifying population root...
Proceedings Article

Generalized Super-Vector Coding for Image Classification

M. Nakajima, Y.W. Chen, X.H. Han
Semantic understanding of images remains an important research challenge in machine intelligence and statistical learning. It mainly includes two steps: feature extraction and classification. This study mainly aims to explore a generalized feature extraction framework motivated by the popularly used...
Proceedings Article

Multi-DOF Robotic Manipulator Trajectory Controlling based on Minimum Energy Optimization

H. Du, J. M. Du, L.A. Chen, Z.W. Mai, X.H. Liu, H.Z. Cai
This paper presents a methodology for determining an optimal trajectory based on minimizing energy consumption. Firstly we analyze a work process of a robotic manipulator between two given configurations at a given time, and the effect of main factors on motor energy consumption is also analyzed. A mathematical...
Proceedings Article

A Video Surveillance Oriented 3D Terrain Simplification Algorithm

X. Fu, J.L. Li, J.X. Zeng
In video surveillance fields, the effectiveness of 3D terrain description method is the base of improving monitoring effect, selecting positions of cameras to be deployed reasonably and scientifically. In this paper, a new local land surface roughness representation method is introduced, and then combined...
Proceedings Article

An Improved PSO Algorithm and its Application on Fault Diagnosis

X.L. Liu, L.H. Cao, S.T. Wang, J.N. Li, Y. Huang, Y.P. Li
For the disadvantages of PSO (Particle Swarm Optimization) algorithm, such as premature convergence and easily getting into local extremum, an improved PSO algorithm was presented in this paper. On the one hand, the population with worse performance moved near the global optimization value of the other...
Proceedings Article

Fuzzy Kernel Two-dimensional Principal Component Analysis for Face Recognition

J.X. Zeng, P. Chen, J.Q. Tian, X. Fu
The traditional kernel two-dimensional principal component analysis (K2DPCA) method did not take full advantage of the class information for face images and there are both “outer class” problem and “hard classifier” problem on face recognition. Therefore, a new face recognition method based on fuzzy...
Proceedings Article

Research Progress of Quartz Tuning Fork Micromachined Gyroscope

M.Y. Fan, L.F. Zhang
This paper presents a review of the working principle, the development and the research progress of the quartz tuning fork micromachined gyroscopes. Then, the fabrication process, the performance parameters and the application fields of the QRS are illustrated. Next, the development trends and the existing...
Proceedings Article

A Novel Method for Logistics Facility Location by Combining Finite State Automaton and Genetic Algorithm

L. Wang, W.G. Li, L. Gao
The location of distribution centers plays a vital role in logistics planning. This paper presents a new method for solving the location problems. The mechanism of finite state automaton is combined to the standard GA to diversify location strategies and accelerate the convergence speed of the method....
Proceedings Article

The Use of Ontology in Case Based Reasoning for Reusable Test Case Generation

R. Li, S.L. Ma
As we know, software testing is an important part of software development lifecycle. More than 50% of the whole system development work and total cost were spend on the software testing. And it’s estimated that almost 60% of the total test time and cost were spent on the design of test cases. In recent...
Proceedings Article

A Conceptual Framework for Project Scheduling with Multi-Skilled Resources

F. Zammori, M. Bertolini
The success of a project depends, mostly, on the ability to create multi-skilled teams and to assign them to project’s tasks, without creating multi-tasking and over-allocation. In this respect, the Multi-skilled Work Force Scheduling Problem has attracted a great interest, both for academicals and practitioners....
Proceedings Article

Development of Optimization Software to Solve Practical Packing and Cutting Problems

V.A. Chekanin, A.V. Chekanin
The paper describes a developed optimization software intended to solve various practical problems of recourse allocation. In a basis of the software lays a designed class library for solving different recourse allocation problems including packing and cutting problems. Due to belonging of all packing...
Proceedings Article

Forecast of Student Achievement Variation Trend Based on C4.5 Decision Tree

L. Li, S.M. Yao, Z. Ou, Q.J. Chen
In the work of educational management, student achievement is one of the most important evidences to evaluate the quality of a student. With respect to many factors that may affect student achievement, a new method based on C4.5 decision tree is proposed to predict student achievement variation trend....
Proceedings Article

Data Based College Students' Comprehensive Quality Evaluation System

L. Li, Z. Ou, S.M. Yao, Q.J. Chen
As EQO(Essential Qualities Oriented) education has become consensus of society, the evaluation of college students’ comprehensive quality stands at the vital position in the work of educational workers. First college students' comprehensive quality evaluation system is built based on some University’s...
Proceedings Article

Analysis of Beta Wave Epileptic EEG Signals Based on Symbolic Transfer Entropy

X. Ye, T. Tian, T.P. Xu, J. Wang
Epilepsy is a common neurological diseases caused by abnormal discharge of neurons in the brain. the attack is sudden and repeated characteristics. Therefore, in order to advance seizure prediction has important meaning for patients to take timely measures in this paper, the seizures in patients with...
Proceedings Article

Beta Wave of Sleep Electroencephalogram Analysis Based on Multiscale Sign Series Entropy

J.H. Jiang, S.T. Wang, F.Z. Hou, J. Wang, J. Li
Sleep Electroencephalogram (Sleep EEG) detection and treatment can provide the basis for clinical diagnosis and treatment. According to the non-stationary random character of EEG itself, the paper proposed multiscale sign series entropy (MSSE) method and applied it to the state of sleep EEG analysis....
Proceedings Article

Adaptive Measured Model for Cell Adhesive Force Using Dielectrophoresis Force

C.C. Lien, C. Ay, J.Y. Cheng, C.W. Young
The Human Umbilical Vein Endothelial Cell Line (ECV304) was seeded on the polydimethylsiloxane(PDMS). The object of this study is to find out the adaptive measurement of cell adhesive force, which works in the optimal environment parameter, such as solution, working frequency, collagen smearing etc.,...
Proceedings Article

Life Cycle Inventory Analysis of Basic Oils for Manufacturing of Automotive Lubricants

G. J O Figueiredo, A. N Haddad, E. L Qualharini, E. G Vazquez
Life cycle inventory analysis of basic oils shows the impacts generated in the process of producing related products to virgin lubricant oils (VLO). That comes out in the first petroleum refining and the impacts of the used or contaminated lubricant oils (ULOC). In this paper the impacts will be shown...
Proceedings Article

Mechanism of Carrier Transport at Low Temperatures in n-Type Beta-FeSi2/p-Type Si Heterojunctions Fabricated by Facing-Target Direct-Current Sputtering

N. Promros, M. Shaban, R. Baba, T. M. Mostafa, T. Yoshitake, M. Takahara
The fabrication of n-type -FeSi2/p-type Si hetero junctions was accomplished by FTDC Sat a substrate temperature of 600°Cwithout post-annealing. Their current-voltage characteristic curves were measured at low temperatures ranging from 300 K down to 50 K. In order to examine the mechanism of carrier...