• Title/Summary/Keyword: measure of representative

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Keyphrase Extraction Using Active Learning and Clustering (Active Learning과 군집화를 이용한 고정키어구 추출)

  • Lee, Hyun-Woo;Cha, Jeong-Won
    • MALSORI
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    • no.66
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    • pp.87-103
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    • 2008
  • We describe a new active learning method in conditional random fields (CRFs) framework for keyphrase extraction. To save elaboration in annotation, we use diversity and representative measure. We select high diversity training candidates by sentence confidence value. We also select high representative candidates by clustering the part-of-speech patterns of contexts. In the experiments using dialog corpus, our method achieves 86.80% and saves 88% training corpus compared with those of supervised method. From the results of experiment, we can see that the proposed method shows improved performance over the previous methods. Additionally, the proposed method can be applied to other applications easily since its implementation is independent on applications.

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Extraction of Representative Emotions to Measure Emotions Expressed by Traditional Korean Clothes (Hanbok) (한복에서 표출되는 감성을 측정하기 위한 대표감성 추출)

  • Park, Eunjung;Seo, Jonghwan;Jeong, Sanghoon
    • Science of Emotion and Sensibility
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    • v.21 no.2
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    • pp.61-72
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    • 2018
  • Different types of traditional Korean clothes (Hanbok) are appearing in the market with the increasing interest of culture consumers. In order to turn traditional Korean clothes into everyday clothes that adequately reflect various demands of culture consumers, it is important to satisfy both functional and emotional aspects of clothing. However, there is lack of existing studies on emotions of culture consumers while wearing traditional Korean clothes. In this study, 28 emotional words regarding traditional Korean clothes were extracted by applying the Delphi method and conformity rating survey to 182 emotional words reported in existing studies and references from areas such as psychology, linguistics, and sensibility engineering. The 28 selected emotional words can be used to express emotions felt by culture consumers about traditional Korean clothes. Also, words were grouped based on the correlation according to factor analysis. Based on common characteristics, the emotional words were classified into 6 categories of 'pleasure,' 'aesthetic sense,' 'harmony,' 'novelty,' 'likability,' and 'stability.' These 6 emotional categories were concluded to represent emotions of consumers about traditional Korean clothes. The 28 emotional words and 6 representative emotions noted in this study can be used as basic data for measuring emotions of culture consumers of traditional Korean clothes. A future study task is to design a detailed assessment scale to measure emotions of culture consumers about traditional Korean clothes using representative emotions.

Derivation of Representative Emotions Through Analysis of Perceived Frequency Profiles of Various Emotions According to Levels of Cognitive Well-Being (인지적 안녕감 수준에 따른 다양한 감정의 지각된 빈도 프로파일 분석을 통한 대표 감정 도출)

  • Dahye Han;Guk-Hee Lee
    • Science of Emotion and Sensibility
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    • v.26 no.3
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    • pp.83-100
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    • 2023
  • This study determines whether the perception of the frequency of experiencing positive, negative, and surprise emotions changes according to the level of cognitive well-being. Furthermore, we determined practical means to analyze which emotions can be managed in daily life as an effective means of improving overall life satisfaction by identifying representative specific emotions that strongly predict the level of cognitive well-being. To this end, the between-subjects factorial design is adopted to measure the frequency of emotional experiences according to the level of cognitive well-being in 438 university undergraduate students. For cognitive well-being, the life satisfaction scale (SWLS) was used, and the PANAS-X scale was used to measure emotional frequency. As a result, first, the group with high cognitive well-being displays a higher frequency of positive and surprise emotional experiences and a lower frequency of negative emotional experiences than the group with low cognitive well-being. Second, the results confirm that representative emotions affecting cognitive well-being included 8 positive emotions, 7 negative emotions, and 1 surprise emotion. Among them, positive emotions include "happy" and "confident," negative emotions include "dissatisfied with self" and "disgusted with self," and surprise emotions include words such as "amazed." Therefore, we can conclude that the representative emotions are those with the greatest influence on cognitive well-being. Therefore, increasing the frequency of specific emotions (e.g., happy, confident, and surprise) and decreasing the frequency of others (e.g., dissatisfied with self and disgusted with self) could be effective in improving cognitive well-being than unconditionally examining emotions experienced in daily life.

Ground Response Analysis of the Cmpressor Station for Installation of Seismic Instrument (정압관리소의 지전계측기 설치를 위한 지반특성 분석)

  • Kwon, Ki-Jun;Kim, Yong-Gil
    • Journal of the Korean Society of Safety
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    • v.17 no.1
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    • pp.79-86
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    • 2002
  • In the case of earthquake, it is necessary to install earthquake instruments and to measure the ground motions for stable gas supply and restoration in case of supply suspension. Because each point in the site of the gas facilities has different characteristics of ground motion, it is recommended to measure at the point where the ground motion is representative. In this paper, ground motion analysis and noise pattern analysis are carried out to select suitable point for the installation of earthquake instruments and to set of dynamic range of sensors.

Performance Study of Packet Switching Multistage Interconnection Networks

  • Kim, Jung-Sun
    • ETRI Journal
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    • v.16 no.3
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    • pp.27-41
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    • 1994
  • This paper provides a performance study of multistage interconnection networks in packet switching environment. In comparison to earlier work, the model is more extensive - it includes several parameters such as multiple-packet messages, variable buffer size, and wait delay at a source. The model is also uniformly applied to several representative networks and thus provides a basis for fair comparison as well as selection of optimal values for parameters. The complexity of the model required use of simulation. However, a partial analytical model is provided to measure the congestion in a network.

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Development of a Ranking Model of Evaluation Indexes in Public Works (정보계측기법을 응용한 공공시설의 평가지표 중요도 산정 모델의 개발)

  • Na, Joon-Yeup;Jung, Nam-Su;Lee, Jeong-Jae
    • Journal of The Korean Society of Agricultural Engineers
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    • v.47 no.2
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    • pp.25-32
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    • 2005
  • In evaluation of public works, its components related with benefit and cost in feasibility analysis can be classified to quantative and qualitative elements, To evaluate qualitative components which can not be calculated by numerical value, several methods are used to assess relative importance. AHP (Analytic Hierarchy Process) is representative method which can evaluate importance, but it has difficulties in organization of expert group, execution of question, and subjective decision of questioner. Information measure technique can be used to evaluate these qualitative importance of environmental and social components in public works planning. In result of comparing importances of AHP and information measure technique, it has statistical significance in of road project.

Development of System based on Digital Image Processing for Precision Measurement of Micro Spring (초소형 스프링 정밀 측정을 위한 디지털 영상 처리 시스템 개발)

  • 표창률;강성훈;전병희
    • Transactions of Materials Processing
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    • v.11 no.7
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    • pp.620-627
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    • 2002
  • The purpose of this paper is the development of an automated measurement system for micro spring based on the digital image processing technique. This micro spring can be used in various engineering applications such as filament, load bearing springs, hard disk suspension and many others. Main functionality of the micro spring inspection system is to measure the representative pitch of the micro spring. The derivative operators are used for edge detection in gray level image. Measurement system developed in this paper consisted of new auto feeding mechanism to take advantage of air pressure. In the process of development of the micro spring inspection system based on the image processing and analysis, strong background technology and know-how have been accumulated to measure micro mechanical parts.

Robustness of Bimodal Speech Recognition on Degradation of Lip Parameter Estimation Performance (음성인식에서 입술 파라미터 열화에 따른 견인성 연구)

  • Kim Jinyoung;Shin Dosung;Choi Seungho
    • Proceedings of the KSPS conference
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    • 2002.11a
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    • pp.205-208
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    • 2002
  • Bimodal speech recognition based on lip reading has been studied as a representative method of speech recognition under noisy environments. There are three integration methods of speech and lip modalities as like direct identification, separate identification and dominant recording. In this paper we evaluate the robustness of lip reading methods under the assumption that lip parameters are estimated with errors. We show that the dominant recording approach is more robust than other methods with lip reading experiments. Also, a measure of lip parameter degradation is proposed. This measure can be used in the determination of weighting values of video information.

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A Study on Prevention Measure Establishment through Cause Analysis of Chemical-Accidents (화학사고 원인분석을 통한 예방대책 수립에 관한 연구)

  • Lee, Hyung-Sub;Yim, Ji-Pyo
    • Journal of the Korean Society of Safety
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    • v.32 no.3
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    • pp.21-27
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    • 2017
  • Even if several chemical accident prevention systems such as PSM(Process Safety Management), RMP(Risk Management Plan), etc. have been carried out, many chemical accidents have still occurred at industrial plants in Korea. We describe the status of chemical industry and the trend of occurrence of chemical accidents in Korea. And this paper analyzes the recent chemical accidents in eight ways. These ways include chemical accident forms, ignition sources, sources of chemical equipment, human vs equipment/material causes, worker's working situation, employee scale, hazardous substances, week & time, fatalities of manufacture & contractor's workers. Finally we proposes the four representative prevention measures brought to result of cause analysis by accident statistics.

An Analysis of Multidimensional Productivity for the Shipbuilding Performance (조선 성과 측정을 위한 다차원 생산성의 분석)

  • Kim, Yearnmin
    • Korean Management Science Review
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    • v.34 no.2
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    • pp.57-66
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    • 2017
  • The purpose of this study is to analyze the multidimensional productivity of the shipbuilding performance and to explain the role of different factors, such as man-hour, dock period, number of building block, launching process rate, automatic welding percent, and drawing fault rate which are important production-related variables in most shipbuilding companies. The shipbuilding productivity is obtained using Data Envelopment Analysis (DEA) approach. Then, a Tobit model is considered to measure the influence of different factors on the measured productivity. The results reveal that this productivity measure can substitute a representative shipbuilding productivity index (CGT/man-hour) in shipbuilding industries. Also, this multidimensional productivity analysis using DEA and Tobit reveals complex relationships between production-related variables and CGT and sale.