• Title/Summary/Keyword: needs extraction

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Object Extraction and Modeling Method from the User Requirements with Fillmore's Case Grammar (Fillmore의 Case Grammar를 통한 사용자 요구사항으로부터 객체 추출 및 모델링 방법)

  • Ahn, Sung-Bin;Kim, Dong-Ho;Seo, Chae-Yun;Kim, R.Young-Chul
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.10
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    • pp.985-989
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    • 2010

  • The near future smart ubiquitous computing oriented system will have to provide the optimal (right) service through interactions between users and the system. To provide the right services what the user needs, we should choose the user-centered development for reflecting the user needs, but not the developer-centered development. To do this, we proposed User Behavior Analysis Based Needs Extraction Method [1]. In this paper, we propose Object Extraction and Modeling Method from the user requirements with Fillmore's Case Grammar.

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Comparison of dental treatment needs of workers depending on their working patterns (근로자의 근무형태에 따른 치과치료필요도 비교)

  • Ju, On-Ju;Kim, In-Ja
    • Journal of Korean society of Dental Hygiene
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    • v.19 no.3
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    • pp.421-436
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    • 2019

  • Objectives: The purpose of this study was to compare the dental treatment needs of workers depending on their shifts and working patterns. Methods: Only workers aged 15 or older according to the $6^{th}$ Korea National Health and Nutrition Examination Survey (2013-2015) were considered eligible. A total of 9,092 people who responded to health surveys and completed oral examinations and interviews were selected for the study. Statistical analysis was carried out by the complex samples general linear model. Results: As the daytime workers' age increased, the requirement for restorative treatment decreased. In contrast, the requirement for tooth extraction caused by dental caries and periodontal disease increased. As the evening shift workers' age increased, the requirement for restorative treatment decreased. In the case of shift workers, the requirement for restorative treatment was lowest in those aged 50-64 years and highest in those aged 30-49 years. In the case of smokers; the daytime workers required a higher amount of restorative treatment, pulpal treatment, and tooth extraction due to dental caries and periodontal disease; the night shift workers required a higher amount of restorative treatment; and the shift workers required a higher amount of tooth extraction caused by periodontal disease. The results of comparing the dental treatment needs depending on working patterns were: the need for restorative treatment was higher in night shift workers (0.377) than in shift workers (0.245); the requirement for pulpal and restorative treatment was higher in daytime workers (0.055) than in night shift workers (0.010); requirement for tooth extraction due to periodontal disease was higher in night shift workers (0.060) than in evening shift workers (0.012). Conclusions: There are differences in dental treatment needs depending on the workers' working patterns. Collective oral health care is needed at workplaces to promote the workers' oral health.

  • https://doi.org/10.13065/jksdh.20190033 인용 PDF KSCI

A study on the Optimal Feature Extraction and Cmplex Adaptive Filter for a speech recognition (음성인식을 위한 복합형잡음제거필터와 최적특징추출에 관한 연구)

  • Cha, T.H.;Jang, S.K.;Choi, U.S;Choi, I.H.;Kim, C.S.
    • Speech Sciences
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    • v.4 no.2
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    • pp.55-68
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    • 1998

  • In this paper, a novel method of noise reduction of speech based on a complex adaptive noise canceler and method of optimal feature extraction are proposed. This complex adaptive noise canceler needs simply the noise detection, and LMS algorithm used to calculate the adaptive filter coefficient. The method of optimal feature extraction requires the variance of noise. The experimental results have shown that the proposed method effectively reduced noise in noisy speech. Optimal feature extraction has shown similar characteristics in noise-free speech.

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Development of Needs Assessment tool and Extraction Algorithm Fitting for Individuals in Care Management for the disabled in Home (재가장애인 사례관리의 욕구사정 정확도 향상을 위한 사정도구 개발과 욕구추출 알고리즘 과정 연구 - 데이터 마이닝 분석기법을 활용하여 -)

  • Kim, Young-Sook;Jung, Kook-In
    • Korean Journal of Social Welfare
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    • v.60 no.2
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    • pp.155-173
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    • 2008

  • The study aims to develop a assessment tool to provide the in-home disabled in a local community with appropriate services in consideration of physical, emotional, social and environmental circumstances. After collection of assesment data of 200 in-home disabled through use of the tool, a desire-extracting algorithm was developed to provide a service to real needs through the use of decision tree analysis on data mining. The study was conducted for Five months from June 2006 through October 2006, and it is divided into development of an assessment tool and extraction of real needs through the use of the tool. The basic framework of the development of the tool was established through the examination of related literature, the subjective satisfaction of the assessment tool and items were developed through the use of a focus group and experts, and verification was implemented through the use of statistics to confirm the validity of the tool. As a result of the verification, the tool secured following validity and credibility as seen in

    and
    . In addition, real needs-extraction algorithm was established through the use of the assessment tool, and the algorithm according each desire was suggested as seen in . The assessment tool and algorithm suggested as a result of the study can be used as data to conduct systematic management of examples through the confirmation of objective desire of in-home disabled.

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    • Object Extraction and Modeling Method from the User Requirements with Fillmore's Case Grammar (Fillmore의 Case Grammar를 통한 사용자 요구사항으로부터 객체 추출 및 모델링 방법)

    • Ahn, Sung-Bin;Kim, Dong-Ho;Seo, Chae-Yun;Kim, R.Young-Chul
      • Proceedings of the Korean Information Science Society Conference
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      • 2010.06a
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      • pp.3-4
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      • 2010

    • 미래의 스마트 유비쿼터스 컴퓨팅 기반 시스템은 사용자들과 상호작용을 통해 적절한 서비스를 제공이 가능 할 것이다. 사용자 요구(Needs)에 맞는 서비스를 제공하려면 기존의 개발자 중심의 개발보다 사용자의 요구를 반영하는 사용자 중심의 시스템 개발이 필요할 것이다. 이를 위해 이전 논문[1]에서는 사용자 행위 분석 기반 요구 추출방법(User Behavior Analysis Based Needs Extraction Method)을 제안하였다. 본 논문에서는 추출된 사용자의 요구사항을 Fillmore의 Case Grammar을 이용하여 객체 추출 및 모델링 방법을 제안한다.

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    Study on the Comparison of Effects by Extraction Methods of Roast and Raw Semen Zizyphi Spinosae (생산조인(生酸棗仁)과 초산조인(炒酸棗仁)의 추출방법에 따른 효능비교연구)

    • Lee, Eun-Kyoung;Hong, Hak-Gi;Chong, Myong-Soo
      • Journal of Physiology & Pathology in Korean Medicine
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      • v.23 no.6
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      • pp.1416-1422
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      • 2009

    • To observe the difference and change of the efficacy and ingredient appearing according to whether semen zizyphi spinosae has been roasted and its extraction method, locomotor activity, anticonvulsant activity, sleeping effect of each hot water and UMPM low temperature extracts of roast and raw semen zizyphi spinosae were measured through animal tests. Roast semen zizyphi spinosae showed superior pharmacological efficacy than raw semen zizyphi spinosae. Also, hot water extraction method showed superior pharmacological efficacy than low temperature extraction method(UMPM) that uses ultrasonic waves and microwaves. In short, it was shown that herbal medicine's extraction method needs to maximize medicinal effects by trying optimum extraction methods according to efficacy by considering characteristics of each herbal medicine. Together, there's also the need for in-depth studies on water-soluble ingredients of semen zizyphi spinosae that may be extracted through full hot water extraction method.

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    Development of Needs Extraction Algorithm Fitting for Individuals in Care Management for the Elderly in Home (재가노인 사례관리의 욕구사정 정확도 향상을 위한 욕구추출 알고리즘 개발 - 데이터 마이닝 분석기법을 활용하여 -)

    • Kim, Young-Sook;Jung, Kook-In;Park, So-Rah
      • Korean Journal of Social Welfare
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      • v.60 no.1
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      • pp.187-209
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      • 2008

    • The authors developed 28 needs assessment tools for integrated assessment centered on needs, which is the core element in care management for the elderly in home. Also, the authors collected the assessment data of 676 elderly persons in home from 120 centers under the Korea Association of Senior Welfare Centers by using the needs assessment tools, and finally developed needs extraction algorithm through decision tree analysis in data mining to identify their actual needs and provide social welfare service suitable for such needs. The needs extraction algorithm for 28 needs of the elderly in home are summarized in

    . The Need No. 8 "Having need of help in going out" of the decision-making model, for example, was divided into 80.3% of asking for help and 11.4% not asking for help with Appeal No. 23 as a major variable. The need increased by 87.9% when the elderly appealed for help to go out and they had a caregiver but decreased by 47.4% when they had no caregiver. When the elderly asked for help in going out, they had a caregiver, and they needed complete help in cleaning, their need of help in going out was shown as 94.2%. However, seen from their answer that they needed complete help in bathing of ADL even if they did not ask for help in going out, it was found that the need of help in going out sharply increased from 11.4% to 80.0%. On the other hand, when they needed partial help or self-supported in bathing, the potential for them to be classified as asking for help in going out was shown to be low as 7.7%. In the said decision-making model, the number of cases for parent node and child node was designated as 50 and 25, respectively, with level 5 of the maximum tree depth as stopping rule. By this, it was shown that their decision-making was found to be effective as 182.13% for the need "Having need of help in going out". The algorithm presented in this study can be useful as systematic and scientific fundamental data in assessment of needs of the elderly in home.

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    • Optimized Design of Dioxin Analysis for Water Sample

    • Choi, Jaewon;Lee, Jaehee;Kim, Kyoungsim;Kim, Sunheong;Bae, Kyunghee
      • Journal of Korean Society on Water Environment
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      • v.21 no.3
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      • pp.219-229
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      • 2005

    • The analytical methods for dioxins in water sample from wastewater to tap water were reviewed. For extraction method, liquid-liquid extraction (LLE) has been widely used, however, this process needs too much time and man power. New approach including solid phase extraction (SPE) is now applicable to large volume of water sample with high extraction efficiency. Column clean up in classical analytical methods were very complex and time consuming procedures during decade. Modifications were tried to decrease solvent and reagents volume. Moreover, use of column connection method has been demonstrated in the environmental matrices. Instrumental configurations also have been improved, in which GC/MS/MS with large volume injection approach can analyze picogram levels. Absolute sensitivities of HRMS increased compared to old versions of double focusing sector type mass spectrometers. Based on these analytical evolutions during last 10 years, we tried to optimize the analytical method for dioxins in water sample from sample extraction to instrumental analysis.

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    Automatic Road Extraction by Gradient Direction Profile Algorithm (GDPA) using High-Resolution Satellite Imagery: Experiment Study

    • Lee, Ki-Won;Yu, Young-Chul;Lee, Bong-Gyu
      • Korean Journal of Remote Sensing
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      • v.19 no.5
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      • pp.393-402
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      • 2003

    • In times of the civil uses of commercialized high-resolution satellite imagery, applications of remote sensing have been widely extended to the new fields or the problem solving beyond traditional application domains. Transportation application of this sensor data, related to the automatic or semiautomatic road extraction, is regarded as one of the important issues in uses of remote sensing imagery. Related to these trends, this study focuses on automatic road extraction using Gradient Direction Profile Algorithm (GDPA) scheme, with IKONOS panchromatic imagery having 1 meter resolution. For this, the GDPA scheme and its main modules were reviewed with processing steps and implemented as a prototype software. Using the extracted bi-level image and ground truth coming from actual GIS layer, overall accuracy evaluation and ranking error-assessment were performed. As the processed results, road information can be automatically extracted; by the way, it is pointed out that some user-defined variables should be carefully determined in using high-resolution satellite imagery in the dense or low contrast areas. While, the GDPA method needs additional processing, because direct results using this method do not produce high overall accuracy or ranking value. The main advantage of the GDPA scheme on road features extraction can be noted as its performance and further applicability. This experiment study can be extended into practical application fields related to remote sensing.

    • https://doi.org/10.7780/kjrs.2003.19.5.393 인용 PDF KSCI

    Comparison of Single Extractions for Evaluation of Heavy Metal Phytoavailability in Soil (토양 중 중금속의 식물유효도 평가를 위한 단일추출법 비교)

    • Seo, Byoung-Hwan;Lim, Ga-Hee;Kim, Kye-Hoon;Kim, Jang-Eok;Hur, Jang-Hyun;Kim, Won-Il;Kim, Kwon-Rae
      • Korean Journal of Environmental Agriculture
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      • v.32 no.3
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      • pp.171-178
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      • 2013

    • BACKGROUND: Consensus of heavy metal phytoavailability in soils needs to be introduced for soil management protocols in relation to safer food production in the contaminated agricultural soils. For this, setting up the method for evaluation of metal phytoavailability in soil is an essential prerequisite. METHODS AND RESULTS: The current study was carried to select a proper single extraction method for determination of phytoavailable metal concentration in soil. Two extraction methods were examined including 1 M $NH_4NO_3$ extraction and 0.01 M $Ca(NO_3)_2$ extraction methods using 142 soil samples collected from the agricultural soils nearby abandoned mining area in Korea. Corelation analysis was conducted between phytoavailable metal concentrations and soil properties potentially influencing on the metal phytoavailability. Both methods showed similar significance (p<0.001) in correlation with soil properties such as soil pH. However, higher correlation coefficients between phytoavailable metal concentrations and soil properties were observed when used $Ca(NO_3)_2$ extraction rather than using $NH_4NO_3$ extraction. CONCLUSION(S): It appeared that 0.01 M $Ca(NO_3)_2$ extraction was better option for determination of phytoavailable metals in soils and further study to test the efficiency of this method is required in combination with plant uptake.

    • https://doi.org/10.5338/KJEA.2013.32.3.171 인용 PDF KSCI
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