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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 13, Issue 4 - Dec 2013
Volume 13, Issue 3 - Sep 2013
Volume 13, Issue 2 - Jun 2013
Volume 13, Issue 1 - Mar 2013
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3D Global Dynamic Window Approach for Navigation of Autonomous Underwater Vehicles
Tusseyeva, Inara ; Kim, Seong-Gon ; Kim, Yong-Gi ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 2, 2013, Pages 91~99
DOI : 10.5391/IJFIS.2013.13.2.91
An autonomous unmanned underwater vehicle is a type of marine self-propelled robot that executes some specific mission and returns to base on completion of the task. In order to successfully execute the requested operations, the vehicle must be guided by an effective navigation algorithm that enables it to avoid obstacles and follow the best path. Architectures and principles for intelligent dynamic systems are being developed, not only in the underwater arena but also in related areas where the work does not fully justify the name. The problem of increasing the capacity of systems management is highly relevant based on the development of new methods for dynamic analysis, pattern recognition, artificial intelligence, and adaptation. Among the large variety of navigation methods that presently exist, the dynamic window approach is worth noting. It was originally presented by Fox et al. and has been implemented in indoor office robots. In this paper, the dynamic window approach is applied to the marine world by developing and extending it to manipulate vehicles in 3D marine environments. This algorithm is provided to enable efficient avoidance of obstacles and attainment of targets. Experiments conducted using the algorithm in MATLAB indicate that it is an effective obstacle avoidance approach for marine vehicles.
Analysis of Balance of Quadrupedal Robotic Walk using Measure of Balance Margin
Kim, Byoung-Ho ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 2, 2013, Pages 100~105
DOI : 10.5391/IJFIS.2013.13.2.100
In this study, we analyze the balance of quadruped walking robots. For this purpose, a simplified polygonal model of a quadruped walking configuration is considered. A boundary-range-based balance margin is used for determining the system stability of the polygonal walking configuration considered herein. The balance margin enables the estimation of the walking configuration`s balance for effective walking. The usefulness of the balance margin is demonstrated through exemplary simulations. Furthermore, balance compensation by means of foot stepping is addressed.
Design of Bi-directional RDM-DMX512 Converter for LED Lighting Control
Hung, Nguyen Manh ; Lee, Chang-Hoon ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 2, 2013, Pages 106~115
DOI : 10.5391/IJFIS.2013.13.2.106
LED lighting control system using unidirectional DMX512 (digital multiplex with 512 pieces of information)) protocol has been the most popular. Nowadays, the user`s consumption has been upgrading to the more intelligent system but the upgrading process does not affect the existing infrastructure. There were many researches use the additional communication for the feedback communication way such as WiFi, Controller Area Network (CAN), Power Line Communication (PLC), etc but all researches had inherent disadvantages that created the independent feedback with the existing DMX512 system. Our paper represents the novel method that uses the remote device management (RDM) protocol to associate the additional feedback with existent DMX512 infrastructure in the one system. The data in DMX512 frame sending to the DMX512 client is split and repacked to become the RDM packet. This RDM packet is transferred to the RDM monitor console and the response RDM packet is converted to the DMX512 frame for control DMX512 client devices. This is the closed loop control model which uses the bidirectional convertibility between RDM packet and DMX512 frame. The proposed method not only upgrades the feedback control function for the old DMX512 system without changing the existent infrastructure, but also solves compatible problems between new RDM devices and old DMX512 devices and gives the low cost solution for extending DMX512 universe.
Development of Intelligent Gear-Shifting Map Based on Radial Basis Function Neural Networks
Ha, Sang-Hyung ; Jeon, Hong-Tae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 2, 2013, Pages 116~123
DOI : 10.5391/IJFIS.2013.13.2.116
Currently, most automobiles have automatic transmission systems. The gear-shifting strategy used to generate shift patterns in transmission systems plays an important role in improving the performance of vehicles. However, conventional transmission systems have a fixed type of shift map, so it may not be enough to provide an efficient gear-shifting pattern to satisfy the demands of driver. In this study, we developed an intelligent strategy to handle these problems. This approach is based on a normalized radial basis function neural network, which can generate a flexible gear-shift pattern to satisfy the demands of drivers, including comfortable travel and fuel consumption. The method was verified through simulations.
Feasibility Study of Gait Recognition Using Points in Three-Dimensional Space
Kim, Minsung ; Kim, Mingon ; Park, Sumin ; Kwon, Junghoon ; Park, Jaeheung ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 2, 2013, Pages 124~132
DOI : 10.5391/IJFIS.2013.13.2.124
This study investigated the feasibility of gait recognition using points on the body in three-dimensional (3D) space based on comparisons of four different feature vectors. To obtain the point trajectories on the body in 3D, gait motion data were captured from 10 participants using a 3D motion capture system, and four shoes with different heel heights were used to study the effects of heel height on gait recognition. Finally, the recognition rates were compared using four methods and different heel heights.
Vision-Based Indoor Localization Using Artificial Landmarks and Natural Features on the Ceiling with Optical Flow and a Kalman Filter
Rusdinar, Angga ; Kim, Sungshin ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 2, 2013, Pages 133~139
DOI : 10.5391/IJFIS.2013.13.2.133
This paper proposes a vision-based indoor localization method for autonomous vehicles. A single upward-facing digital camera was mounted on an autonomous vehicle and used as a vision sensor to identify artificial landmarks and any natural corner features. An interest point detector was used to find the natural features. Using an optical flow detection algorithm, information related to the direction and vehicle translation was defined. This information was used to track the vehicle movements. Random noise related to uneven light disrupted the calculation of the vehicle translation. Thus, to estimate the vehicle translation, a Kalman filter was used to calculate the vehicle position. These algorithms were tested on a vehicle in a real environment. The image processing method could recognize the landmarks precisely, while the Kalman filter algorithm could estimate the vehicle`s position accurately. The experimental results confirmed that the proposed approaches can be implemented in practical situations.
Vision Sensor-Based Driving Algorithm for Indoor Automatic Guided Vehicles
Quan, Nguyen Van ; Eum, Hyuk-Min ; Lee, Jeisung ; Hyun, Chang-Ho ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 2, 2013, Pages 140~146
DOI : 10.5391/IJFIS.2013.13.2.140
In this paper, we describe a vision sensor-based driving algorithm for indoor automatic guided vehicles (AGVs) that facilitates a path tracking task using two mono cameras for navigation. One camera is mounted on vehicle to observe the environment and to detect markers in front of the vehicle. The other camera is attached so the view is perpendicular to the floor, which compensates for the distance between the wheels and markers. The angle and distance from the center of the two wheels to the center of marker are also obtained using these two cameras. We propose five movement patterns for AGVs to guarantee smooth performance during path tracking: starting, moving straight, pre-turning, left/right turning, and stopping. This driving algorithm based on two vision sensors gives greater flexibility to AGVs, including easy layout change, autonomy, and even economy. The algorithm was validated in an experiment using a two-wheeled mobile robot.
Some Common Fixed Points for Type(β) Compatible Maps in an Intuitionistic Fuzzy Metric Space
Park, Jong Seo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 2, 2013, Pages 147~153
DOI : 10.5391/IJFIS.2013.13.2.147
Previously, Park et al. (2005) defined an intuitionistic fuzzy metric space and studied several fixed-point theories in this space. This paper provides definitions and describe the properties of type(
) compatible mappings, and prove some common fixed points for four self-mappings that are compatible with type(
) in an intuitionistic fuzzy metric space. This paper also presents an example of a common fixed point that satisfies the conditions of Theorem 4.1 in an intuitionistic fuzzy metric space.