• Title/Summary/Keyword: statistical patterns

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A Study on an Automatic Summarization System Using Verb-Based Sentence Patterns (술어기반 문형정보를 이용한 자동요약시스템에 관한 연구)

  • 최인숙;정영미
    • Journal of the Korean Society for information Management
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    • v.18 no.4
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    • pp.37-55
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    • 2001
  • The purpose of this study is to present a text summarization system using a knowledge base containing information about verbs and their arguments that are statistically obtained from a subject domain. The system consists of two modules: the training module and the summarization module. The training module is to extract cue verbs and their basic sentence patterns by counting the frequency of verbs and case markers respectively, and the summarization module is substantiate basic sentence patterns and to generate summaries. Basic sentence patterns are substantiated by applying substantiation rules to the syntactics structure of sentences. A summary is then produced by connecting simple sentences that the are generated through the substantiation module of basic sentence patterns. ‘robbery’in the daily newspapers are selected for a test collection. The system generates natural summaries without losing any essential information by combining both cue verbs and essential arguments. In addition, the use of statistical techniques makes it possible to apply this system to other subject domains through its learning capability.

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A Study on the Adjectives for Selection of Color Patterns (컬러 패턴 선택을 위한 형용사에 관한 연구)

  • Kim Sung-Hwan;Eum Kyoung-Bae;Chung Sung-Suk;Lee Joon-Whoan
    • Science of Emotion and Sensibility
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    • v.8 no.4
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    • pp.355-363
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    • 2005
  • The adjectives for represnting emotions is important to evaluate and select the colors or color patterns. In this paper, we perform the MDS analysis, factor analysis, and cluster analysis to the Soen's experimental data obtained from the evaluation of random color patterns with 13 adjective pairs. As a result, those adjectives can be reduced 3 different factors representing emotions of weight, activity and temperature, which is approximately corresponds the results of previous researches on single colors. Also, we show that the adjectives for preference can be approximate4 by other primary adjectives for color patterns using regression analysis. This implies that one can construct a uniform emotion space for evaluating and selecting color patterns regardless of objects such as wall papers, carpets, and so on.

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A Study on the Correlation between Locomotive Syndrome and Stress and Lifestyle Patterns in the Elderly in Korea (국내 노인의 운동기능저하증후군과 스트레스 및 일상생활패턴과의 상관성 분석 연구)

  • Kim, Myungchul;Kim, Haein;Baek, Incheol
    • Journal of The Korean Society of Integrative Medicine
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    • v.8 no.4
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    • pp.241-251
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    • 2020
  • Purpose : This study examined the effect of locomotive syndrome on stress index and lifestyle patterns among elderly Koreans aged 65 years and older, and analyzed its correlation with stress index and lifestyle patterns. The purpose of this study was to provide basic data for the management and prevention of locomotive syndrome in the elderly. Methods : Using the "25-Question Geriatric Locomotive Function Scale (GLFS-25)", the study evaluated locomotive syndrome in 123 elderly Koreans aged 65 years and older. Of them, 85 patients were assigned to the locomotive syndrome group and 38 patients were assigned to the normal group. The questionnaire measured and investigated the participants' stress index and lifestyle patterns. Statistical analysis was performed using SPSS 22.0 ver. Results : Results showed the locomotive syndrome group displayed a higher stress index than the normal group, with a statistically significant difference between the two groups. The group also scored lower in the lifestyle pattern survey than the normal group did, with a statistically significant difference in high-intensity work performance ratio and average daily performance time between them. The GLFS-25 score showed a significant positive correlation with the stress index and sitting and lying down time, and a significant negative correlation with medium-intensity working time, walking, and cycling time. Conclusion : In conclusion, Locomotive syndrome in elderly Koreans is closely related to stress and lifestyle patterns, especially high-intensity work. We recommend active prevention and management of locomotive syndrome and further research into the effects of various lifestyle factors on the illness.

Analysis of metabolomic patterns in thoroughbreds before and after exercise

  • Jang, Hyun-Jun;Kim, Duk-Moon;Kim, Kyu-Bong;Park, Jeong-Woong;Choi, Jae-Young;Oh, Jin Hyeog;Song, Ki-Duk;Kim, Suhkmann;Cho, Byung-Wook
    • Asian-Australasian Journal of Animal Sciences
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    • v.30 no.11
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    • pp.1633-1642
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    • 2017
  • Objective: Evaluation of exercise effects in racehorses is important in horseracing industry and animal health care. In this study, we compared metabolic patterns between before and after exercise to screen metabolic biomarkers for exercise effects in thoroughbreds. Methods: The concentration of metabolites in muscle, plasma, and urine was measured by $^1H$ nuclear magnetic resonance (NMR) spectroscopy analysis and the relative metabolite levels in the three samples were compared between before and after exercise. Subsequently, multivariate data analysis based on the metabolic profiles was performed using orthogonal partial least square discriminant analysis (OPLS-DA) and variable important plots and t-test was used for basic statistical analysis. Results: From $^1H$ NMR spectroscopy analysis, 35, 25, and 34 metabolites were detected in the muscle, plasma, and urine. Aspartate, betaine, choline, cysteine, ethanol, and threonine were increased over 2-fold in the muscle; propionate and trimethylamine were increased over 2-fold in the plasma; and alanine, glycerol, inosine, lactate, and pyruvate were increased over 2-fold whereas acetoacetate, arginine, citrulline, creatine, glutamine, glutarate, hippurate, lysine, methionine, phenylacetylglycine, taurine, trigonelline, trimethylamine, and trimethylamine N-oxide were decreased below 0.5-fold in the urine. The OPLS-DA showed clear separation of the metabolic patterns before and after exercise in the muscle, plasma, and urine. Statistical analysis showed that after exercise, acetoacetate, arginine, glutamine, hippurate, phenylacetylglycine trimethylamine, trimethylamine N-oxide, and trigonelline were significantly decreased and alanine, glycerol, inosine, lactate, and pyruvate were significantly increased in the urine (p<0.05). Conclusion: In conclusion, we analyzed integrated metabolic patterns in the muscle, plasma, and urine before and after exercise in racehorses. We found changed patterns of metabolites in the muscle, plasma, and urine of racehorses before and after exercise.

A Suggested Air Sampling Strategy for Bioaerosols in Daycare Center Settings (어린이활동공간에서의 바이오에어로졸 포집 전략)

  • Jo, JungHeum;Park, Jun-sik;Kim, Sung-Yeon;Kwon, Myung hee;Kim, Ki Youn;Choi, Jeong-Hak;Seo, SungChul
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.26 no.3
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    • pp.324-333
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    • 2016
  • Objectives: We aimed to compare the sampling performance of different flow-based impactor samplers for collecting fungal spores and bacteria and to explore the association of the level of bioaerosols with activity patterns of occupants in daycare center settings. Methods: For comparison of sampling performance, two different flow-based samplers (greater than 100 L/min or not) were selected; a low flow-based sampler (one-stage Andersen sampler) and two high flow-based samplers (DUO SAS SUPER 360 sampler, BUCK bio-culture sampler). We collected airborne mold and bacteria in 30 daycare centers with various levels of contaminated air. Three repeat samplings per each sampler were performed. Mold and bacteria were grown for 96 hours at $25{\pm}1^{\circ}C$ and 48 hours at $35{\pm}1^{\circ}C$, respectively. The Andersen and SAS samplers were used for investigating the association between the level of bioaerosols and the activity patterns of occupants in daycares. Particular matters 10($PM_{10}$), temperature, and relative humidity were monitored as well. Samplings were carried out with one-hour interval from 9 to 5 O'clock. For statistical comparisons, Kruskal-Wallis test, Wilcoxon's signed rank test, and multiple regression analysis were carried out. Results: The airborne level of molds by the low flow-based sampler were significantly higher than that of high flow-based samplers (indoor, P=0.037; outdoor, P=0.041). However, no statistical difference was observed in the airborne level of bacteria by each sampler. Also the level of bioaerosols varied by the time, particularly with different activity patterns in daycare centers. The higher level of mold and bacteria were observed in play time in indoor. Similarly, the concentrations of $PM_{10}$ were significantly associated with the level of bioaerosols (P<0.05). Conclusions: Our findings indicate that the flow rate of sampler, rather than total air volume, could be able to affect the results of sampling. Also, the level of airborne mold and bacteria vary behavior patterns of occupants in indoor of daycare settings. Therefore, different samplers with other flow rate may be selected for mold or bacteria sampling, and activity patterns should be considered for bioaerosol sampling as well.

Gametogenic Cycle and the Number of Spawning Seasons by Quantitative Statistical Analysis, and the Size at 50% of Group Sexual Maturity in Atrina (Servatrina) pectinata (Bivalvia: Pinnidae) in Western Korea

  • Chung, Jae Seung;Chung, Ee-Yung;Lee, Chang-Hoon
    • The Korean Journal of Malacology
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    • v.28 no.4
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    • pp.363-375
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    • 2012
  • The gametogenic cycle, the number of spawning seasons per year and first sexual maturiity of the pen shell, Atrina (Servatrina) pectinata, were investigated by quantitative statistical analysis using an Image Analyzer System. Compared two previous results (the spawning periods in the reproductive cycles in 1998 and 2006) by qualitative histological analysis with the present results by quantitative statistical analysis, there are some differences in the spawning periods: the spawning period (June to September) by quantitative statistical analysis was one month longer than those of two previous reports (June to July or June to August) by qualitative histological analysis. However, the number of spawning seasons studied by the qualitative and quatitative analyses occurred once per year. In quantitative statistical analysis using an image analyzer system, the patterns of monthly changes in the percent (%) of the areas occupied by follicles to the ovary area in females (or that of the areas occupied by spermatogenic stages to the testis area in males) showed a maximum in May, and then sharply droped from June to September, 2006. From these data, it is apparent that the spawning season of A. (S.) pectinata occurred once a year from June to September, indicating a unimodal gametogenic cycle during the year. Shell heights of sexually mature pen shells (size at 50% of group sexual maturity, $GM_{50}$) that were fitted to an exponential equation were 15.81 cm in females and 15.72 cm in males (considered to be one year old).

Discharging/Charging Voltage-Temperature Pattern Recognition for Improved SOC/Capacity Estimation and SOH Prediction at Various Temperatures

  • Kim, Jong-Hoon;Lee, Seong-Jun;Cho, Bo-Hyung
    • Journal of Power Electronics
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    • v.12 no.1
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    • pp.1-9
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    • 2012
  • This study investigates an application of the Hamming network-dual extended Kalman filter (DEKF) based on pattern recognition for high accuracy state-of-charge (SOC)/capacity estimation and state-of-health (SOH) prediction at various temperatures. The averaged nine discharging/charging voltage-temperature (DCVT) patterns for ten fresh Li-Ion cells at experimental temperatures are measured as representative patterns, together with cell model parameters. Through statistical analysis, the Hamming network is applied to identify the representative pattern that matches most closely with the pattern of an arbitrary cell measured at any temperature. Based on temperature-checking process, model parameters for a representative DCVT pattern can then be applied to estimate SOC/capacity and to predict SOH of an arbitrary cell using the DEKF. This avoids the need for repeated parameter measuremet.

An Empirical Investigation into How to Use Visual Storytelling for Increasing Facebook User Engagement

  • Kim, Yu-Jin
    • Science of Emotion and Sensibility
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    • v.20 no.3
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    • pp.23-38
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    • 2017
  • In order to identify effective approaches for creating more viral Facebook posts, this research conducted an empirical content analysis of leading Korean brands' Facebook fan-pages (Samsung Mobile, SK Telecom, Kia Motors, and POSCO). Their distinctive visual storytelling and communication patterns were investigated as effective user engagement triggers. Through analysis of the research results, it was statistically proved that the different industrial attributes of the four brands, which are primarily characterized by their product (or service) types, affect their Facebook posting patterns by showing different engaging rates (measured by like, comment, and share metrics). In addition, the user engagement rates of the posts were influenced by their visual storytelling factors (i.e. ad objective, value scale, and visual media types). In line with these statistical findings, the distinctive visual storytelling strategies of the four brands were identified. Moreover, competitive and uncompetitive visual storytelling tactics were suggested according to the ad objectives and visual media types on Facebook.

Questionnaire Survey and Analysis Using Data Mining (데이터마이닝을 이용한 설문조사 및 분석)

  • 박만희;채화성;신완선
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.25 no.5
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    • pp.46-52
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    • 2002
  • Today's database system needs to collect huge amount of questionnaire that results from development of the information technology by the internet, so it has to be administrable. However, there are many difficulties concerned with finding analytic data or useful information in the high capacity-database. Data mining can solve these problems and utilize the database. Questionnaire analysis that uses data mining has drawn relevant patterns that did not look or was tended to overlook before. These patterns can be applied by a new business rule. The purpose of this research is to analyze the questionnaire results and to present the result that can help to make decision easily with data mining. Recognition and analysis about these techniques of data mining show suitable type of questionnaire survey. This research focus on the form of present composition and the model of suitable questionnaire to analyze the type of it. Also, the comparison between the actual questionnaire result and the conventional statistical analysis is examined.

The Statistical Study of Tooth Mobility on the Occlusion Patterns (하악골의 측방운동 및 전방운동 형태와 이에 따른 치아 동요도에 관한 통계학적 연구)

  • Lee, Myung-Ho
    • The Journal of Korean Academy of Prosthodontics
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    • v.22 no.1
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    • pp.79-84
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    • 1984
  • The stability of teeth is an important measure of the periodontal health. This study was designed to determine if there was a relation between the patterns of disclusion and a tooth mobility. An evaluation was made on 117 persons with Angle's class I occlusion who were free from histories of orthodontics, removable or fixed prosthesis, and anterior crowding or open contacts. The results were as follows: 1. In this study, 17.52% of the subjects were exhibited canine protected occlusion. 2. In protrusive movements, 75.21% of the subjects were exhibited incisor guided occlusion and the subjects of canine guided occlusion was the smallest. 3. The canine tooth of mouths having canine-protected occlusions had slightly lower mean tooth mobility scores than the canine of mouths having group function occlsion, but there was no significances. 4. The tooth mobility score of central incisor had higher than that of lateral incisor.

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