• Title/Summary/Keyword: Relative Similarity

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Japanese Adults' Perceptual Categorization of Korean Three-way Distinction (한국어 3중 대립 음소에 대한 일본인의 지각적 범주화)

  • Kim, Jee-Hyun;Kim, Jung-Oh
    • Proceedings of the Korean Society for Cognitive Science Conference
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    • 2005.05a
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    • pp.163-167
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    • 2005
  • Current theories of cross-language speech perception claim that patterns of perceptual assimilation of non-native segments to native categories predict relative difficulties in learning to perceive (and produce) non-native phones. Perceptual assimilation patterns by Japanese listeners of the three-way voicing distinction in Korean syllable-initial obstruent consonants were assessed directly. According to Speech Learning Model (SLM) and Perceptual Assimilation Model (PAM), the resulting perceptual assimilation pattern predicts relative difficulty in discrimination between lenis and aspirated consonants, and relative ease in the discrimination of fortis. This study compared the effects of two different training conditions on Japanese adults’perceptual categorization of Korean three-way distinction. In one condition, participants were trained to discriminate lenis and aspirated consonants which were predicted to be problematic, whereas in another condition participants were trained with all three classes of 'learnability' did not seem to depend lawfully on the perceived cross-language similarity of Korean and Japanese consonants.

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A Study on Relative Mutual Information Coefficients (상호정보량의 정규화에 대한 연구)

  • Lee, Jae-Yun
    • Journal of the Korean Society for Library and Information Science
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    • v.37 no.4
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    • pp.178-198
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    • 2003
  • Mutual information as an association measure, has been used for various purposes as well as for calculating term similarity. There we, however, some limits in mutual information. It tends to emphasize low frequency terms extremely because the marginal value of mutual information changes inversely to frequency of terms. To compensate for this limit this study suggests relative mutual information(RMI) coefficients which normalize mutual information, and examines their characteristics in some details. The RMI coefficients also improve effectiveness of global query expansion when they are adapted to three different collections.

Evaluation of Vegetation Recovery after Restortaion Works at the Nogodan Area, Jirisan National Park (지리산국립공원 노고단 일원 식생복원지 회복 평가)

  • Oh, Koo-Kyoon
    • Korean Journal of Environment and Ecology
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    • v.31 no.1
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    • pp.93-103
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    • 2017
  • The purpose of this study is to assess the recovery rate of vegetation structure after restoration works at the damaged Nogodan area in Jirisan National Park. Fourteen monitoring plots were set up at restoring work area and twelve control plots were set up at natural forest near monitoring plots. Flora, Relative Importance Percentage and Similarity Index were analyzed. Mean Similarity Index between monitering plot and control plot near helliport area showed thirty five point two percent and height of shrub layer recovered up to twenty percent, approxomately durindg twenty three years after experimental restoration works. Mean Similarity Index between monitering plot and control plot around Nogodan peak area showed seventeen point six percent but height of shrub layer recovered up to twenty percent, approxomately during ninteen years after restoration works. Mean similarity index between monitering plot and control plot on transfered millitary area showed thirty four point three percent but coverage of shrub layer showed twenty percent,approxomately during seven years after restoration works. Long term monitering shall be necessary for developing assessment criteria of ecologial restoration and ecological restoration technology.

A Change of Vegetation at the Ecological Restoration Area of Simwon Valley in Jirisan National Park (지리산국립공원 심원계곡 생태경관 복원공사지역 식생 변화)

  • Jung, Tae-Jun;Kim, Yeon-Gyeong;Kim, Young-Jin;Jung, Myung-Hee;Park, Kyoung-Hee;Shin, Chang-Keun;Park, Seung-hong;Kim, Young-Sun
    • Korean Journal of Environment and Ecology
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    • v.35 no.3
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    • pp.294-304
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    • 2021
  • This study aims to obtain basic data for systematic restoration by analyzing the monitoring results of the Shimwon Valley Ecological Landscape Restoration Project area in Jirisan National Park. In 2017, when the restoration project was completed, 12 monitoring plots and 4 control plots were installed for vegetation monitoring, and changes in the relative dominance, species diversity index and similarity between 2017 and 2020 were analyzed. The species diversity index of the surveyed areas where trees were planted during the restoration project was 0-1.4552, and the similarity index with the control group was 0% except for one survey area at 1.32%. The very low species diversity index and similarity index in the survey areas were attributed to the loss of trees planted during the restoration project due to death, damage by wild boars, or erosion by running water. On the other hand, the species diversity index was 0.9538-2.3222 in the monitoring plot where no tree was planted, and the similarity index was analyzed to be as high as 8.33%. It is necessary to continue the long-term monitoring for the development of ecological landscape restoration methods in the national park and analysis of the succession in monitoring plots where no trees were planted.

A New Similarity Measure based on RMF and It s Application to Linguistic Approximation (상대적 소수 함수에 기반을 둔 새로운 유사성 측도와 언어 근사에의 응용)

  • Choe, Dae-Yeong
    • The KIPS Transactions:PartB
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    • v.8B no.5
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    • pp.463-468
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    • 2001
  • We propose a new similarity measure based on relative membership function (RMF). In this paper, the RMF is suggested to represent the relativity between fuzzy subsets easily. Since the shape of the RMF is determined according to the values of its parameters, we can easily represent the relativity between fuzzy subsets by adjusting only the values of its parameters. Hence, we can easily reflect the relativity among individuals or cultural differences when we represent the subjectivity by using the fuzzy subsets. In this case, these parameters may be regarded as feature points for determining the structure of fuzzy subset. In the sequel, the degree of similarity between fuzzy subsets can be quickly computed by using the parameters of the RMF. We use Euclidean distance to compute the degree of similarity between fuzzy subsets represented by the RMF. In the meantime, we present a new linguistic approximation method as an application area of the proposed similarity measure and show its numerical example.

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Air Similarity Performance Test of Turbopump Turbine (터보펌프용 터빈 공기상사 성능시험)

  • Lim Byeung-Jun;Hong Chang-Uk;Kim Jin-Han
    • Journal of the Korean Society of Propulsion Engineers
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    • v.10 no.2
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    • pp.39-45
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    • 2006
  • In liquid rocket engine turbopump, it is difficult to evaluate turbine performance for high pressure, high temperature circumstance. Turbine test is often done by using air at similarity condition so that the turbine can be tested at lower risk. This paper describes an air similarity test program of liquid rocket engine turbopump turbine. A test facility has been built to evaluate aerodynamic performance of turbines. The test facility consists of high pressure air supply system, mass flow rate measuring nozzle, test section, hydraulic break, exit orifice for pressure control, instrumentation and control system. This paper also presents how to decide the similarity conditions of the turbine test and describes how to control test conditions. Relative standard deviation of measurement parameter was less than 1% and measured turbine efficiency corresponded with analysis result within 2%.

A Leveling and Similarity Measure using Extended AHP of Fuzzy Term in Information System (정보시스템에서 퍼지용어의 확장된 AHP를 사용한 레벨화와 유사성 측정)

  • Ryu, Kyung-Hyun;Chung, Hwan-Mook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.2
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    • pp.212-217
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    • 2009
  • There are rule-based learning method and statistic based learning method and so on which represent learning method for hierarchy relation between domain term. In this paper, we propose to leveling and similarity measure using the extended AHP of fuzzy term in Information system. In the proposed method, we extract fuzzy term in document and categorize ontology structure about it and level priority of fuzzy term using the extended AHP for specificity of fuzzy term. the extended AHP integrates multiple decision-maker for weighted value and relative importance of fuzzy term. and compute semantic similarity of fuzzy term using min operation of fuzzy set, dice's coefficient and Min+dice's coefficient method. and determine final alternative fuzzy term. after that compare with three similarity measure. we can see the fact that the proposed method is more definite than classification performance of the conventional methods and will apply in Natural language processing field.

Power Quality Warning of High-Speed Rail Based on Multi-Features Similarity

  • Bai, Jingjing;Gu, Wei;Yuan, Xiaodong;Li, Qun;Chen, Bing;Wang, Xuchong
    • Journal of Electrical Engineering and Technology
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    • v.10 no.1
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    • pp.92-101
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    • 2015
  • As one type of power quality (PQ) disturbance sources, high-speed rail (HSR) can have major impacts on the power supply grid. Providing timely and accurate warning information for PQ problems of HSR is important for the safe and stable operation of traction power supply systems and the power supply grid. This study proposes a novel warning approach to identify PQ problems and provide warning prompts based on the monitored data of HSR. To embody the displacement and status change of monitored data, multi-features of different sliding windows are computed. To reflect the relative importance degree of these features in the overall evaluation, an analytic hierarchy process (AHP) is used to analyse the weights of multi-features. Finally, a multi-features similarity algorithm is applied to analyse the difference between monitored data and the reference data of HSR, and PQ warning results based on dynamic thresholds can be analysed to quantify its severity. Cases studies demonstrate that the proposed approach is effective and feasible, and it has now been applied to an actual PQ monitoring platform.

Analysis of Genetic Characteristics of Korean Native Chicken Using DNA Marker (DNA Marker를 이용한 한국 재래닭의 유전특성 분석)

  • 이학교;이성진;황규춘;정일정;박용호;손시환;신영수;오봉국;한재용
    • Korean Journal of Poultry Science
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    • v.23 no.4
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    • pp.177-183
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    • 1996
  • This study was conducted to analyze genetic characteristics of Korean Native Chicken three lines classified on the basis of the feather color and appearance (Red, Yellow, and Black) using DNA fingerprinting method. To estimate the genetic relatedness among breeds and similarities within breeds, we collected blood samples from Korean Native Chicken (KNC), Rhode Island Red (RIR), White Leghorn (WL), and Cornish(CN) and obtained genomic DNA from the blood of 10 individuals randomly selected within the breeds and lines. The genomic DNA samples were digested with restriction enzymes (Hinf J, Hae Ill) and hybridized with various probes (Jeffreys' probes 33.15, 33.6 and M13) after Southern transfer. Genetic similarities within breeds were characterized by band sharing (BS) value, estimated by the DFP band pattern between the pair of lanes. BS values within WL, RIR, and KNC were 0.82, 0.70 and 0.56, respectively. Relative genetic diversity (BS value) of KNC was higher than those two breeds (WL, RIR). Estimation of genetic similarity between KNC lines and control breed (RIR) was 0.32, whereas similarity within KNC lines (6 groups) was 0.50. In this analysis, KNC was showed to have a highly genetic diver-sity at the DNA level, and to be closer in genetic distance to RIR (0.67) than any other breeds.

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Similarity-Based Subsequence Search in Image Sequence Databases (이미지 시퀀스 데이터베이스에서의 유사성 기반 서브시퀀스 검색)

  • Kim, In-Bum;Park, Sang-Hyun
    • The KIPS Transactions:PartD
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    • v.10D no.3
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    • pp.501-512
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    • 2003
  • This paper proposes an indexing technique for fast retrieval of similar image subsequences using the multi-dimensional time warping distance. The time warping distance is a more suitable similarity measure than Lp distance in many applications where sequences may be of different lengths and/or different sampling rates. Our indexing scheme employs a disk-based suffix tree as an index structure and uses a lower-bound distance function to filter out dissimilar subsequences without false dismissals. It applies the normaliration for an easier control of relative weighting of feature dimensions and the discretization to compress the index tree. Experiments on medical and synthetic image sequences verify that the proposed method significantly outperforms the naive method and scales well in a large volume of image sequence databases.