International Journal of Computational Intelligence Systems

ISSN: 1875-6883
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903 articles
Haijing Hou, Lisheng Jin, Qingning Niu, Yuqin Sun, Meng Lu
Pages: 386 - 393
In order to make Intelligent Transportation System (ITS) work effectively, a driver intention recognition method is proposed. In this research, three different recognition models were developed based on Continuous Hidden Markov Model (CHMM), and could distinguish left and right lane change intention...
Jiping Lu, Shuiyuan Tang, Jianhua Zuo, Hongli Fan, Zhonghua Jian, Shahid Butt
Pages: 329 - 336
Mechanical loading equipments are wildly used in transportation system. Positioning precision is one of the basic functions of machine tools, and structure design is the key to ensuring accuracy. According to the assembly process of tubular-structure, the paper analyzes motion modes to achieve tubular-structure...
Xiujie Qu, He Chen, Yubin Zhang, Yingtao Ding
Pages: 306 - 313
Communication technology and its signal processing are basic supportive factors of intelligent transportation system. Because of rapid progress in modern communication engineering, direct digital synthesizer (DDS) is widely used in communications system. However, traditional DDS technology is encountering...
Wen Chen, Xiao-Jie Liu, Tao Li, Yuan-Quan Shi, Xu-Fei Zheng, Hui Zhao
Pages: 410 - 419
A negative selection algorithm based on the hierarchical clustering of self set HC-RNSA is introduced in this paper. Several strategies are applied to improve the algorithm performance. First, the self data set is replaced by the self cluster centers to compare with the detector candidates in each cluster...
Juan Carlos Augusto, Jun Liu, Paul McCullagh, Hui Wang, Jian-Bo Yang
Pages: 361 - 378
The health system in developed countries is facing a problem of scalability in order to accommodate the increased proportion of the elderly population. Scarce resources cannot be sustained unless innovative technology is considered to provide health care in a more effective way. The Smart Home provides...
Abdelhamid Bouchachia
Pages: 147 - 157
This paper introduces a novel ensemble learning approach based on recurrent radial basis function networks (RRBFN) for time series prediction with the aim of increasing the prediction accuracy. Standing for the base learner in this ensemble, the adaptive recurrent network proposed is based on the...
Marcus Vinicius Carvalho da Silva, Nadia Nedjah, Luiza de Macedo Mourelle
Pages: 115 - 123
Network-on-chip (NoC) are considered the next generation of communication infrastructure, which will be omnipresent in most of industry, office and personal electronic systems. In platform-based methodology, an application is implemented by a set of collaborating intellectual properties (IPs) blocks....
S. Siva Sathya, S. Kuppuswami, S. Sendhil Kumar
Pages: 886 - 893
Genetic Algorithms are efficient search and optimization techniques inspired by natural evolution. To show the difficulties in solving constrained optimization problems through GA, the 0/1 knapsack problem with user specific object preferences has been taken up. A new genetic operator, namely, ‘gene...
Ying Xia, Guo-Yin Wang, Xu Zhang, Gyoung-Bae Kim, Hae-Young Bae
Pages: 1070 - 1079
Trajectory similarity measure is an important issue for analyzing the behavior of moving objects. In this paper, a similarity measure method for network constrained trajectories is proposed. It considers spatial and temporal features simultaneously in calculating spatio-temporal distance. The crossing...
Lili Liu, Yilong Yin, Wei Qin, Ying Li
Pages: 1090 - 1099
Gait recognition aims to identify people by the way they walk. In this paper, a simple but e ective gait recognition method based on Outermost Contour is proposed. For each gait image sequence, an adaptive silhouette extraction algorithm is firstly used to segment the frames of the sequence and a series...
Ramon A Carrasco, Pedro Villar, Miguel J Hornos, Enrique Herrera-Viedma
Pages: 946 - 959
We present a model made up of linguistic multi-criteria decision making processes to integrate the answers to heterogeneous questionnaires, based on a five-point Likert scale, into a unique form rooted in the widespread course experience questionnaire. The main advantage of having the resulting integrated...
Xiaoyuan Wang, Jinglei Zhang
Pages: 1269 - 1281
Driving tendency is the comprehensive embodiment of driver's physiological and psychological characteristics. It reflects driver's psychological condition during the process of driving. Identification of the driving tendency has great significance to researching of the driver assistant system, especially...
Hui Liu, Changle Xiang, Shengping Fu
Pages: 1204 - 1215
A tracked vehicle gearbox is divided into two subsystems-housing and gear train. Dynamic behaviors of the two subsystems are coupled practically. And the coupled characteristics describe the integrative dynamic behaviors of gearbox. This study proposes a coupled simulation model to investigate the interrelationship...
Huachun Tan, Yu-Jin Zhang, Wuhong Wang, Guangdong Feng, Hui Xiong, Jie Zhang, Yong Li
Pages: 1422 - 1429
The different face regions have different degrees of importance for face recognition. In previous Hausdorff distance (HD) measures, points are treated as same importance, or weight different points that calculated from gray domain. In this paper, a new weighting function of HD based on the eigenface...
Wei Zhonghua, Chen Xuemei, Gong Ming
Pages: 1290 - 1297
The role of guide sign to inform road user about the information of network is important. How to design and locate guide sign to increase traffic operation efficiency is a key point for traffic engineers. Driving simulator is useful devised to study guide sign in the process and system control. For the...
Yang Xiaobao, Huan Mei, Guo Hongwei, Gao Liang
Pages: 1350 - 1357
Real time system for vehicle travel time and traffic flow is an essential part of Intelligent Transportation Systems. In many Chinese cities, the interactions among buses, bicycles and cars bring difficulty to travel time prediction and traffic safety management. The aim of this paper is to develop a...
Hui Xiong, Xuedong Guo, Wuhong Wang, Huachun Tan, Heng Wei
Pages: 1415 - 1421
Knowledge on pedestrian behavior is the basis to build decision support system for crowd evacuation management in emergency. In this paper, the impact of paired walking behavior on pedestrian counter flow in a channel is studied. The pedestrian walking behaviors are simulated by the cellular automaton...
Zhaosheng Yang, Huxing Zhou, Peng Gao, Hong Chen, Nan Zhang
Pages: 1216 - 1223
This paper proposes a topological analysis of urban transit system based on a functional representation network constructed from the urban transit system in Beijing. The representation gives a functional view on nodes named a transit line. Statistical measures are computed and introduced in complex network...
Enrico Zio, Piero Baraldi, Irina Crenguta Popescu
Pages: 60 - 76
The applicability in practice of a diagnostic tool is strongly related to the physical transparency of the un- derlying models, for the interpretation of the relationships between the involved variables and for direct model inspection and validation. In this work, a methodology is developed for transforming...
Luis Martinez, Macarena Espinilla, Luis G. Perez
Pages: 148 - 158
Evaluation is a process that analyzes elements in order to achieve different objectives such as quality inspection, marketing and other fields in industrial companies. This paper focuses on sensory evaluation where the evaluated items are assessed by a panel of experts according to the knowledge...
Xian Shen, X.Z. Gao, Roufang Bie
Pages: 168 - 176
Artificial Immune Systems (AIS), which is inspired by the nature immune system, has been applied for solving complex computational problems in classification, pattern rec- ognition, and optimization. In this paper, the theory of the natural immune system is first briefly introduced. Next, we...
Zuoliang Chen, Guoqing Chen
Pages: 262 - 272
Classification based on association rules is considered to be effective and advantageous in many cases. However, there is a so-called "sharp boundary" problem in association rules mining with quantitative attribute domains. This paper aims at proposing an associative classification approach, namely Classification...
Juan Carlos Augusto, Hui Wang, Jun Liu
Pages: 237 - 247
We present a framework for decision-making in relation to disaster management with a focus on situation assessment during disaster management monitoring. The use of causality reasoning based on the temporal evolution of a scenario provides a natural way to chain meaningful events and possible states...
Sevil Sentürk
Pages: 123 - 140
The fuzzy regression control chart is a functional technique to evaluate the process in which the average has a trend and the data represents a linguistic or approximate value. In this study, the theoretical structure of the “α-level fuzzy midrange for α-cut fuzzy X -regression control chart” is proposed...
Enrique H. Ruspini
Pages: 190 - 196
While it has been correctly noted that the expression “soft computing” is employed in a variety of senses and characterizations to designate a wide array of technologies, we argue that the original motivation for the introduction of soft-computing methods was the need to cope with the complexity of existing...
Luis Magdalena
Pages: 148 - 159
The term Soft Computing was coined by L.A. Zadeh in the early 90's. Since that time many researchers have tried to define it considering different approaches: main constituents, properties, abilities, etc. In addition, the term Computational Intelligence has also gained popularity having a somehow quite...
Jinlong Wang, Shunyao Wu, Gang Li
Pages: 770 - 785
Selecting a suitable proximity measure is one of the fundamental tasks in clustering. How to effectively utilize all available side information, including the instance level information in the form of pair-wise constraints, and the attribute level information in the form of attribute order preferences,...