• Title/Summary/Keyword: Part Similarity

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An Analytic Study on the Categorization of Query through Automatic Term Classification (용어 자동분류를 사용한 검색어 범주화의 분석적 고찰)

  • Lee, Tae-Seok;Jeong, Do-Heon;Moon, Young-Su;Park, Min-Soo;Hyun, Mi-Hwan
    • The KIPS Transactions:PartD
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    • v.19D no.2
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    • pp.133-138
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    • 2012
  • Queries entered in a search box are the results of users' activities to actively seek information. Therefore, search logs are important data which represent users' information needs. The purpose of this study is to examine if there is a relationship between the results of queries automatically classified and the categories of documents accessed. Search sessions were identified in 2009 NDSL(National Discovery for Science Leaders) log dataset of KISTI (Korea Institute of Science and Technology Information). Queries and items used were extracted by session. The queries were processed using an automatic classifier. The identified queries were then compared with the subject categories of items used. As a result, it was found that the average similarity was 58.8% for the automatic classification of the top 100 queries. Interestingly, this result is a numerical value lower than 76.8%, the result of search evaluated by experts. The reason for this difference explains that the terms used as queries are newly emerging as those of concern in other fields of research.

Korean Compound Noun Decomposition and Semantic Tagging System using User-Word Intelligent Network (U-WIN을 이용한 한국어 복합명사 분해 및 의미태깅 시스템)

  • Lee, Yong-Hoon;Ock, Cheol-Young;Lee, Eung-Bong
    • The KIPS Transactions:PartB
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    • v.19B no.1
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    • pp.63-76
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    • 2012
  • We propose a Korean compound noun semantic tagging system using statistical compound noun decomposition and semantic relation information extracted from a lexical semantic network(U-WIN) and dictionary definitions. The system consists of three phases including compound noun decomposition, semantic constraint, and semantic tagging. In compound noun decomposition, best candidates are selected using noun location frequencies extracted from a Sejong corpus, and re-decomposes noun for semantic constraint and restores foreign nouns. The semantic constraints phase finds possible semantic combinations by using origin information in dictionary and Naive Bayes Classifier, in order to decrease the computation time and increase the accuracy of semantic tagging. The semantic tagging phase calculates the semantic similarity between decomposed nouns and decides the semantic tags. We have constructed 40,717 experimental compound nouns data set from Standard Korean Language Dictionary, which consists of more than 3 characters and is semantically tagged. From the experiments, the accuracy of compound noun decomposition is 99.26%, and the accuracy of semantic tagging is 95.38% respectively.

A Comparative Study of Korean and Danish Folk Tables (한국과 덴막의 민속 테이블의 비교 연구)

  • 최정신
    • Journal of the Korean housing association
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    • v.6 no.2
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    • pp.181-189
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    • 1995
  • It is thought as more important for us to understand foreign countrie's culture in the modern society. because the world is becoming closer day by day thiough the develepment of communication and mass-media. Cross-cultural study could play a role to give an opportunity for people to understand foreign countrie’s culture easily.In this respect, this study was planned to find out similarity and difference between Danish and Korean folk tables made and used before the 20th century during the 18th-l9th century as a part of the comparative study of folk furniture between the two countries. It would be very interesting if we could find something valuable between Danish and Korean folk furniture. because they are located very far away each other geographically with less cultural communication before.There were more differences than similarity between the folk tables of the two countries and major findings were as followings : Firstly, there were many kinds of space-saving tables in Denmark. whereas only a few kinds of tables which could be removed easily after their usage were found in KoreaSecondly, Banish folk tables were more emphasized on the function rather than decoration. Whereas Korean folk tables were smaller lower and more decorative than Danish ones to fit their life-style of sitting on the floor.Thirdly, many Danish folk tables were made of bare wood. while Korean ones were finished by transparent lacquer or vegetable oil. Stone tops if tables were rare in both countries. Lastly. there were common factors in the design of legs of folk tables in both countries. It was interesting that animal legs such as deg tiger cat. lion, and eagle were used for design motif of the table legs. But trestle leg, cross leg and gate leg were not found in Korean folk tables. As a conclusion, throughout this study, it became obvious that life-style was one of the most important factor influencing on the design of furniture.

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A Study on the Effect of Drape by the Construction Method of th eCircular Skirt (Circular Skirt의 구성방법에 따른 Drape효과에 관한 연구)

  • 홍정민
    • Journal of the Korean Society of Costume
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    • v.33
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    • pp.217-228
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    • 1997
  • The purpose of this study was to investigate influence of the construction method of the circular skirt on drapability and shape of static silhouette and length variation. In made 24 types of skirts giving the variations (six kinds of peach skin-like finished fabrics two types of cutting method two types of machine stitch method of hem), The results were as follows: 1. Analysis of drapability In the cutting method thre was similarity between warp direction and true bias direc-tion. In the machine stitch method of hem there was similarity between blind stitch and blind stitch machine. According to the fabrics analysis of drapability was excellent in the order N/P 80/20(fabric 1)>P 100(fabric 5)>P 100(fabric 6)>P 100 (fabric 2)>P 100 (fabric 4)>N/C 50/50(fabric 3). 2. Analysis of the characteristics values of static silhouette shape In the cutting method shape of static sil-houette became wide in the warp direction. In the machine stitch method of hem shape of static silhouette became wide in the blind stitch. According to the fabrics shape of static silhouette became most wide in the N/C 50/50(fabric 3) and shape of static sil-houette become most narrow in the P 100(fabric 2,5) 3. Analysis of the length variation In the cutting method the true bias direc-tion was longer than the warp direction. In the machine stitch method of hem there was simi-machine stitch method of hem there was simi-larity between blind stitch and blind stitch ma-chine. In fabrics the P 100(fabric 6) showed the longest the N/C 50/50(fabric 3) showed most slight. Interaction between the cutting and messure-ment part of skirt lengh. In the warp diretion parts that showed longest length variation were C. G, K, O in the true bias diretion parts that showed most slight length variation were A, E, M, I.

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Efficient Searching Technique for Nearest Neighbor Object in High-Dimensional Data (고차원 데이터의 효율적인 최근접 객체 검색 기법)

  • Kim, Jin-Ho;Park, Young-Bae
    • The KIPS Transactions:PartD
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    • v.11D no.2
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    • pp.269-280
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    • 2004
  • The Pyramid-Technique is based on mapping n-dimensional space data into one-dimensional data and expresses it as a B+-tree. By solving the problem of search time complexity the pyramid technique also prevents the effect of "phenomenon of dimensional curse" which is caused by treatment of hypercube range query in n-dimensional data space. The SPY-TEC applies the space division strategy in pyramid method and uses spherical range query suitable for similarity search so that Improves the search performance. However, nearest neighbor query is more efficient than range query because it is difficult to specify range in similarity search. Previously proposed index methods perform well only in the specific distribution of data. In this paper, we propose an efficient searching technique for nearest neighbor object using PdR-Tree suggested to improve the search performance for high dimensional data such as multimedia data. Test results, which uses simulation data with various distribution as well as real data, demonstrate that PdR-Tree surpasses both the Pyramid-Technique and SPY-TEC in views of search performance.rformance.

Iterative Low Rank Approximation for Image Denoising (영상 잡음 제거를 위한 반복적 저 계수 근사)

  • Kim, Seehyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.10
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    • pp.1317-1322
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    • 2021
  • Nonlocal similarity of natural images leads to the fact that a patch matrix whose columns are similar patches of the reference patch has a low rank. Images corrupted by additive white Gaussian noises (AWGN) make their patch matrices to have a higher rank. The noise in the image can be reduced by obtaining low rank approximation of the patch matrices. In this paper, an image denoising algorithm is proposed, which first constructs the patch matrices by combining the similar patches of each reference patch, which is a part of the noisy image. For each patch matrix, the proposed algorithm calculates its low rank approximate, and then recovers the original image by aggregating the low rank estimates. The simulation results using widely accepted test images show that the proposed denoising algorithm outperforms four recent methods.

Design of Classification Methodology of Malicious Code in Windows Environment (윈도우 악성코드 분류 방법론의 설계)

  • Seo, Hee-Suk;Choi, Joong-Sup;Chu, Pill-Hwan
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.19 no.2
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    • pp.83-92
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    • 2009
  • As the innovative internet technologies and multimedia are being rapidly developed, malicious codes are a remarkable new growth part and supplied by various channel. This project presents a classification methodology for malicious codes in Windows OS (Operating System) environment, develops a test classification system. Thousands of malicious codes are brought in every day. In a result, classification system is needed to analyzers for supporting information which newly brought malicious codes are a new species or a variety. This system provides the similarity for analyzers to judge how much a new species or a variety is different to the known malicious code. It provides to save time and effort, to less a faulty analysis. This research includes the design of classification system and test system. We classify the malicious codes to 9 groups and then 9 groups divide the clusters according to the each property.

Occurrence and Identification of Tephra Layers found in the Ulsan area, Southeastern Korea (한국 동남부 울산 지역에서 발견되는 화산재층의 산상과 동정)

  • Kim, Cheong-Bin;Kim, Young-Seog;Lim, Hyoun Soo
    • Journal of the Korean earth science society
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    • v.42 no.1
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    • pp.55-64
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    • 2021
  • Tephrochronology is the study of tephra layers to correlate and date geologic events. As tephra layers can be used as time-markers, they are essential for the dating of Quaternary deposits. In this study, two types of tephra layers were found in the upper and lower parts of marine terrace deposits distributed in the Sanha-dong and Jeongja-dong, Ulsan areas. Based on the morphological features of glass shards, refractive indices, major element compositions, and similarity coefficients, the upper and lower tephras were identified as AT (ca. 25 ka) and Ata (ca. 105-110 ka) tephra, respectively. To the best of our knowledge, this is the first official report of Ata tephra on terrestrial deposits in Korea. These results are expected to aidin the research of the Quaternary paleoclimate, paleoenvironment, and active faults in the southeastern part of Korea.

Analysis of the Vibration Characteristics of a High-Speed Train using a Scale Model (축소모델을 통한 고속철도 차량의 진동특성 해석 및 검증)

  • Han, Jae Hyun;Kim, Tae Min;Kim, Jeung Tae
    • Journal of the Korean Society for Railway
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    • v.16 no.1
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    • pp.7-13
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    • 2013
  • A scaled version of a roller rig is developed to demonstrate the dynamic characteristics of a railway vehicle for academic purposes. This rig is designed based on Jaschinski's similarity law. It is scaled to 1/10 of actual size and allows 9-DOF motion to examine the up and down vibration of a train set. The test rig consists of three sub-hardware components: (i) a driving roller mechanism with a three-phase AC motor and an inverter, (ii) a bogie structure with first and second suspensions, and (iii) the vehicle body. The motor of the rig is capable of 3,600rpm, allowing the test to simulate a vehicle up to a maximum speed of 400Km/hr. Because bearings and joints are properly connected to the sub-structures, various motion analyses, such as a lateral, pitching, and yawing motion, are allowed. The slip motion between the rail and the wheel set is also monitored by several sensors mounted in the rig. After the construction of the hardware, an experiment is conducted to obtain the natural frequencies of the dynamic behavior of the specimen. First, the test rig is run and data are collected from six sets of accelerometers. Then, a numerical analysis of the model based on the ADAMS program is derived. Finally, the measurement data of the first three fundamental frequencies are compared to the analytical result and the validation of the test rig is conducted. The results show that the developed roller rig provides good accuracy in simulating the dynamic behavior of the vehicle motion. Although the roller rig designed in this paper is intended for academia, it can easily be implemented as part of a dynamic experiment of a bogie and a vehicle body for a high-speed train as part of the research efforts in this area.

The Classification and Species Diversity of Forest Cover Types in the Natural Forest of the Middle Part of Baekdudaegan (백두대간 중부권역 천연림의 산림피복형 분류와 종다양성)

  • Hwang, Kwang-Mo;Chung, Sang-Hoon;Kim, Ji-Hong
    • Journal of Korean Society of Forest Science
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    • v.104 no.1
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    • pp.14-25
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    • 2015
  • This study was carried out to classify forest communities and to aggregate forest cover types for the complex and diversified natural forest areas of Guryongsan, Sobaeksan, Baekhwasan, Sokrisan, and Baekhaksan in the middle part of Baekdudaegan. The vegetation data were collected by point-centered quarter sampling method. One thousand one hundred fourteen sample points were subjected to cluster analysis to classify 27 forest communities, which were aggregated into 7 representative forest cover types on the basis of community similarity from composition of canopy species. They were Quercus mongolica forest cover type, mixed mesophytic forest cover type, Q. variabilis forest cover type, Pinus densiflora forest cover type, the others deciduous forest cover type, Q. serrata forest cover type, and subalpine forest cover type. The Q. mongolica forest cover type was most widely distributed in the study areas. It was assumed that abundance of Q. mongolica might be negatively associated with species diversity. Mixed mesophytic forest cover type and the others deciduous forest cover type were commonly distributed in the areas of valley, on the other hand, Q. mongolica cover type and P. densiflora cover type tended to be distributed in the areas of ridge.