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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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International Journal of Fuzzy Logic and Intelligent Systems
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Journal DOI :
Korean Institute of Intelligent Systems
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Volume & Issues
Volume 15, Issue 4 - Dec 2015
Volume 15, Issue 3 - Sep 2015
Volume 15, Issue 2 - Jun 2015
Volume 15, Issue 1 - Mar 2015
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Deep Level Situation Understanding for Casual Communication in Humans-Robots Interaction
Tang, Yongkang ; Dong, Fangyan ; Yoichi, Yamazaki ; Shibata, Takanori ; Hirota, Kaoru ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 15, issue 1, 2015, Pages 1~11
DOI : 10.5391/IJFIS.2015.15.1.1
A concept of Deep Level Situation Understanding is proposed to realize human-like natural communication (called casual communication) among multi-agent (e.g., humans and robots/machines), where the deep level situation understanding consists of surface level understanding (such as gesture/posture understanding, facial expression understanding, speech/voice understanding), emotion understanding, intention understanding, and atmosphere understanding by applying customized knowledge of each agent and by taking considerations of thoughtfulness. The proposal aims to reduce burden of humans in humans-robots interaction, so as to realize harmonious communication by excluding unnecessary troubles or misunderstandings among agents, and finally helps to create a peaceful, happy, and prosperous humans-robots society. A simulated experiment is carried out to validate the deep level situation understanding system on a scenario where meeting-room reservation is done between a human employee and a secretary-robot. The proposed deep level situation understanding system aims to be applied in service robot systems for smoothing the communication and avoiding misunderstanding among agents.
Mobile Robot Navigation using Optimized Fuzzy Controller by Genetic Algorithm
Zhao, Ran ; Lee, Dong Hwan ; Lee, Hong Kyu ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 15, issue 1, 2015, Pages 12~19
DOI : 10.5391/IJFIS.2015.15.1.12
In order to guide the robots move along a collision-free path efficiently and reach the goal position quickly in the unknown multi-obstacle environment, this paper presented the navigation problem of a wheel mobile robot based on proximity sensors by fuzzy logic controller. Then a genetic algorithm was applied to optimize the membership function of input and output variables and the rule base of the fuzzy controller. Here the environment is unknown for the robot and contains various types of obstacles. The robot should detect the surrounding information by its own sensors only. For the special condition of path deadlock problem, a wall following method named angle compensation method was also developed here. The simulation results showed a good performance for navigation problem of mobile robots.
Measurement of DS-CDMA Propagation Distance in Underwater Acoustic Communication Considering Attenuation and Noise
Lee, Young-Pil ; Moon, Yong Seon ; Ko, Nak Yong ; Choi, Hyun-Taek ; Huang, Linyun ; Bae, Youngchul ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 15, issue 1, 2015, Pages 20~26
DOI : 10.5391/IJFIS.2015.15.1.20
It is very difficult to design an underwater communication system because of multipath, Doppler effects, noise, and attenuation. These factors lead to errors in the communication performance and maximum propagation distance. In this study, we calculate the distance that can be realized using the direct-sequence code division multiple access (DS-CDMA) technique with direct-sequence spread spectrum (DSSS) in an underwater communication system considering only the attenuation and noise. We also compare the estimated and calculated propagation distances obtained for several different scenarios.
Unusual Motion Detection for Vision-Based Driver Assistance
Fu, Li-Hua ; Wu, Wei-Dong ; Zhang, Yu ; Klette, Reinhard ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 15, issue 1, 2015, Pages 27~34
DOI : 10.5391/IJFIS.2015.15.1.27
For a vision-based driver assistance system, unusual motion detection is one of the important means of preventing accidents. In this paper, we propose a real-time unusual-motion-detection model, which contains two stages: salient region detection and unusual motion detection. In the salient-region-detection stage, we present an improved temporal attention model. In the unusual-motion-detection stage, three kinds of factors, the speed, the motion direction, and the distance, are extracted for detecting unusual motion. A series of experimental results demonstrates the proposed method and shows the feasibility of the proposed model.
An Adaptive Histogram Equalization Based Local Technique for Contrast Preserving Image Enhancement
Lee, Joonwhoan ; Pant, Suresh Raj ; Lee, Hee-Sin ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 15, issue 1, 2015, Pages 35~44
DOI : 10.5391/IJFIS.2015.15.1.35
The main purpose of image enhancement is to improve certain characteristics of an image to improve its visual quality. This paper proposes a method for image contrast enhancement that can be applied to both medical and natural images. The proposed algorithm is designed to achieve contrast enhancement while also preserving the local image details. To achieve this, the proposed method combines local image contrast preserving dynamic range compression and contrast limited adaptive histogram equalization (CLAHE). Global gain parameters for contrast enhancement are inadequate for preserving local image details. Therefore, in the proposed method, in order to preserve local image details, local contrast enhancement at any pixel position is performed based on the corresponding local gain parameter, which is calculated according to the current pixel neighborhood edge density. Different image quality measures are used for evaluating the performance of the proposed method. Experimental results show that the proposed method provides more information about the image details, which can help facilitate further image analysis.
Performance Analysis of Group Recommendation Systems in TV Domains
Kim, Noo-Ri ; Lee, Jee-Hyong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 15, issue 1, 2015, Pages 45~52
DOI : 10.5391/IJFIS.2015.15.1.45
Although researchers have proposed various recommendation systems, most recommendation approaches are for single users and there are only a small number of recommendation approaches for groups. However, TV programs or movies are most often viewed by groups rather than by single users. Most recommendation approaches for groups assume that single users` profiles are known and that group profiles consist of the single users` profiles. However, because it is difficult to obtain group profiles, researchers have only used synthetic or limited datasets. In this paper, we report on various group recommendation approaches to a real large-scale dataset in a TV domain, and evaluate the various group recommendation approaches. In addition, we provide some guidelines for group recommendation systems, focusing on home group users in a TV domain.
DSSS-Based Channel Access Technique DS-CDMA for Underwater Acoustic Transmission
Lee, Young-Pil ; Moon, Yong Seon ; Ko, Nak Yong ; Choi, Hyun-Taek ; Huang, Linyun ; Bae, Youngchul ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 15, issue 1, 2015, Pages 53~59
DOI : 10.5391/IJFIS.2015.15.1.53
This paper proposes a novel method for acoustically and wirelessly transmitting data underwater with a high transmission rate. The method uses the most promising physical layer and multiple access technique (i.e., the code division multiple channel access technique) to divide the channel into subchannels. Data is transmitted through these subchannels. The codes are pseudo-random noise (PN) sequences. In the spread-spectrum technique, a signal such as electrical, electromagnetic, acoustic signal generated in a particular bandwidth is deliberately spread in the frequency domain, which results in a signal with a wider bandwidth. This paper reviews the possibility of application of the direct-sequence code division multiple access (DS-CDMA) technique in an underwater system using MATLAB. As the result of our review, we recognize that the DS-CDMA technique can be applied to underwater environments.
Matrix Game with Z-numbers
Bandyopadhyay, Sibasis ; Raha, Swapan ; Nayak, Prasun Kumar ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 15, issue 1, 2015, Pages 60~71
DOI : 10.5391/IJFIS.2015.15.1.60
In this paper, a matrix game is considered in which the elements are represented as Z-numbers. The objective is to formalize the human capability for solving decision-making problems in uncertain situations. A ranking method of Z-numbers is proposed and used to define pure and mixed strategies. These strategies are then applied to find the optimal solution to the game problem with an induced pay off matrix using a min max, max min algorithm and the multi-section technique. Numerical examples are given in support of the proposed method.
Some Properties of Alexandrov Topologies
Kim, Yong Chan ; Kim, Young Sun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 15, issue 1, 2015, Pages 72~78
DOI : 10.5391/IJFIS.2015.15.1.72
Alexandrov topologies are the topologies induced by relations. This paper addresses the properties of Alexandrov topologies as the extensions of strong topologies and strong cotopologies in complete residuated lattices. With the concepts of Zhang`s completeness, the notions are discussed as extensions of interior and closure operators in a sense as Pawlak`s the rough set theory. It is shown that interior operators are meet preserving maps and closure operators are join preserving maps in the perspective of Zhang`s definition.
Intuitionistic Fuzzy Topology and Intuitionistic Fuzzy Preorder
Yun, Sang Min ; Lee, Seok Jong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 15, issue 1, 2015, Pages 79~86
DOI : 10.5391/IJFIS.2015.15.1.79
This paper is devoted to finding relationship between intuitionistic fuzzy preorders and intuitionistic fuzzy topologies. For any intuitionistic fuzzy preordered space, an intuitionistic fuzzy topology will be constructed. Conversely, for any intuitionistic fuzzy topological space, we obtain an intuitionistic fuzzy preorder on the set. Moreover, we will show that the family of all intuitionistic fuzzy preorders on an underlying set has a very close link to the family of all intuitionistic fuzzy topologies on the set satisfying some extra condition.