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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 12, Issue 4 - Dec 2012
Volume 12, Issue 3 - Sep 2012
Volume 12, Issue 2 - Jun 2012
Volume 12, Issue 1 - Mar 2012
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3D Radar Objects Tracking and Reflectivity Profiling
Kim, Yong Hyun ; Lee, Hansoo ; Kim, Sungshin ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 4, 2012, Pages 263~269
DOI : 10.5391/IJFIS.2012.12.4.263
The ability to characterize feature objects from radar readings is often limited by simply looking at their still frame reflectivity, differential reflectivity and differential phase data. In many cases, time-series study of these objects' reflectivity profile is required to properly characterize features objects of interest. This paper introduces a novel technique to automatically track multiple 3D radar structures in C,S-band in real-time using Doppler radar and profile their characteristic reflectivity distribution in time series. The extraction of reflectivity profile from different radar cluster structures is done in three stages: 1. static frame (zone-linkage) clustering, 2. dynamic frame (evolution-linkage) clustering and 3. characterization of clusters through time series profile of reflectivity distribution. The two clustering schemes proposed here are applied on composite multi-layers CAPPI (Constant Altitude Plan Position Indicator) radar data which covers altitude range of 0.25 to 10 km and an area spanning over hundreds of thousands
. Discrete numerical simulations show the validity of the proposed technique and that fast and accurate profiling of time series reflectivity distribution for deformable 3D radar structures is achievable.
A Dynamic Ontology-based Multi-Agent Context-Awareness User Profile Construction Method for Personalized Information Retrieval
Gao, Qian ; Cho, Young Im ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 4, 2012, Pages 270~276
DOI : 10.5391/IJFIS.2012.12.4.270
With the increase in amount of data and information available on the web, there have been high demands on personalized information retrieval services to provide context-aware services for the web users. This paper proposes a novel dynamic multi-agent context-awareness user profile construction method based on ontology to incorporate concepts and properties to model the user profile. This method comprehensively considers the frequency and the specific of the concept in one document and its corresponding domain ontology to construct the user profile, based on which, a fuzzy c-means clustering method is adopted to cluster the user's interest domain, and a dynamic update policy is adopted to continuously consider the change of the users' interest. The simulation result shows that along with the gradual perfection of the our user profile, our proposed system is better than traditional semantic based retrieval system in terms of the Recall Ratio and Precision Ratio.
A Muti-Resolution Approach to Restaurant Named Entity Recognition in Korean Web
Kang, Bo-Yeong ; Kim, Dae-Won ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 4, 2012, Pages 277~284
DOI : 10.5391/IJFIS.2012.12.4.277
Named entity recognition (NER) technique can play a crucial role in extracting information from the web. While NER systems with relatively high performances have been developed based on careful manipulation of terms with a statistical model, term mismatches often degrade the performance of such systems because the strings of all the candidate entities are not known a priori. Despite the importance of lexical-level term mismatches for NER systems, however, most NER approaches developed to date utilize only the term string itself and simple term-level features, and do not exploit the semantic features of terms which can handle the variations of terms effectively. As a solution to this problem, here we propose to match the semantic concepts of term units in restaurant named entities (NEs), where these units are automatically generated from multiple resolutions of a semantic tree. As a test experiment, we applied our restaurant NER scheme to 49,153 nouns in Korean restaurant web pages. Our scheme achieved an average accuracy of 87.89% when applied to test data, which was considerably better than the 78.70% accuracy obtained using the baseline system.
Characteristics of Ship Movements in a Fairway
Kim, Eun Kyung ; Jeong, Jung Sik ; Park, Gyei-Kark ; Im, Nam Kyun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 4, 2012, Pages 285~289
DOI : 10.5391/IJFIS.2012.12.4.285
In a coastal area, all of the vessels are always exposed to the potential risk, taking into the maritime accident statistics account over the last decades. To manage vessels underway safety, the characteristics of ship movements in a fairway should be recognized by VTS system or VTS operators. The IMO has already mandated the shipboard carriage of AIS since 2004, as stated in SOLAS Chapter V Regulation 19. As a result, the static and dynamic information of AIS data has been collected for vessel traffic management in the coastal areas and used for VTS. This research proposes a simple algorithm of recognizing potentially risky ships by observing their trajectories on the fairway. The static and dynamic information of AIS data are collected and the curvature for the ship trajectory is surveyed. The proposed algorithm finds out the irregularity of ship movement. The algorithm effectively monitors the change of navigation pattern from the curvature analysis of ship trajectory. Our method improves VTS functions in an intelligent way by analyzing the navigation pattern of vessels underway.
Delta Closure and Delta Interior in Intuitionistic Fuzzy Topological Spaces
Eom, Yeon Seok ; Lee, Seok Jong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 4, 2012, Pages 290~295
DOI : 10.5391/IJFIS.2012.12.4.290
Due to importance of the concepts of
-closure, it is natural to try for their extensions to fuzzy topological spaces. So, Ganguly and Saha introduced and investigated the concept of fuzzy
-closure by using the concept of quasi-coincidence in fuzzy topological spaces. In this paper, we will introduce the concept of
-closure in intuitionistic fuzzy topological spaces, which is a generalization of the
-closure by Ganguly and Saha.
Fixed Point Theorems for Weakly Compatible Functions using (JCLR) Property in Intuitionistic Fuzzy Metric Space
Park, Jong Seo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 4, 2012, Pages 296~299
DOI : 10.5391/IJFIS.2012.12.4.296
In this paper, we give definitions for common limit in the range property of mappings and obtain common fixed point theorem for a pair of weakly compatible functions in intuitionistic fuzzy metric space using the joint common limit in the range property of mappings(shortly, (JCLR) property). Our results improve and generalize results of Chauhan et al.
Locality-Sensitive Hashing Techniques for Nearest Neighbor Search
Lee, Keon Myung ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 4, 2012, Pages 300~307
DOI : 10.5391/IJFIS.2012.12.4.300
When the volume of data grows big, some simple tasks could become a significant concern. Nearest neighbor search is such a task which finds from a data set the k nearest data points to queries. Locality-sensitive hashing techniques have been developed for approximate but fast nearest neighbor search. This paper introduces the notion of locality-sensitive hashing and surveys the locality-sensitive hashing techniques. It categories them based on several criteria, presents their characteristics, and compares their performance.
Size-Independent Caption Extraction for Korean Captions with Edge Connected Components
Jung, Je-Hee ; Kim, Jaekwang ; Lee, Jee-Hyong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 4, 2012, Pages 308~318
DOI : 10.5391/IJFIS.2012.12.4.308
Captions include information which relates to the images. In order to obtain the information in the captions, text extraction methods from images have been developed. However, most existing methods can be applied to captions with a fixed height or stroke width using fixed pixel-size or block-size operators which are derived from morphological supposition. We propose an edge connected components based method that can extract Korean captions that are composed of various sizes and fonts. We analyze the properties of edge connected components embedding captions and build a decision tree which discriminates edge connected components which include captions from ones which do not. The images for the experiment are collected from broadcast programs such as documentaries and news programs which include captions with various heights and fonts. We evaluate our proposed method by comparing the performance of the latent caption area extraction. The experiment shows that the proposed method can efficiently extract various sizes of Korean captions.
Somewhat fuzzy irresolute continuous mappings
Im, Young Bin ; Lee, Joo Sung ; Cho, Yung Duk ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 4, 2012, Pages 319~323
DOI : 10.5391/IJFIS.2012.12.4.319
We define and characterize a somewhat fuzzy irresolute continuous mapping and a somewhat fuzzy irresolute semiopen mapping on a fuzzy topological space. Besides, some interesting properties of those mappings are given.
Study of Cross-media Retrieval Technique Based on Ontology
Xi, Su Mei ; Cho, Young Im ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 4, 2012, Pages 324~328
DOI : 10.5391/IJFIS.2012.12.4.324
With the recent advances in information retrieval, cross-media retrieval has been attracting lot of attention, but several issues remain problems such as constructing effective correlations, calculating similarity between different kinds of media objects. To gain better cross-media retrieval performance, it is crucial to mine the semantic correlations among the heterogeneous multimedia data. This paper introduces a new method for cross-media retrieval which uses ontology to organize different media objects. The experiment results show that the proposed method is effective in cross-media retrieval.