• 한국기후변화학회지
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• 제8권4호
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• pp.339-346
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• 2017

The Korea Adaptation Center for Climate Change (KACCC) located in Korea Environment Institute has serviced a climate change vulnerability assessment support tool (VESTAP) since 2014 in order to help local governments to establish their own adaptation plans. Owing to its easy usage, the VESTAP has been utilized by not only local governments but also academia for examination of climate change vulnerability in various fields. However, the KACCC has not suggested a standard usage how to compose indices for climate exposure, sensitivity, and adaptation capacity which are main components of vulnerability although the KACCC manages operation and application of the VESTAP. Many users had no choice but to compose indices based on their own interpretation on the components of vulnerability. This technical note suggests the standard usage of VESTAP by reevaluating some vulnerability assessments previously developed. This may help users to correctly compose indices for climate change vulnerability assessment, and may minimize possibility of inter-user inconsistency in definition of vulnerability assessments.

• 한국콘텐츠학회논문지
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• 제12권4호
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• pp.10-19
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• 2012

근래의 이종 네트워크 환경에서 비디오를 안정되게 전송하기 위해서는 네트워크 특성, 단말기 성능, 사용자 선호도 등의 소비 환경을 고려한 비디오 적응 방법이 요구되며, 비디오 부호화에서의 스케일러빌러티는 그 요구조건을 만족시키기 위한 좋은 해결책이다. 본 논문에서는 H.264/AVC SVC 스트림을 MPEG-21 디지털 아이템 적응(Digital Item Adaptation, DIA) 도구를 이용하여 네트워크 환경, 단말의 성능, 사용자 선호도에 따라 동적(dynamic)으로 비디오 콘텐츠를 적응시키는 방법을 제안한다. 실험에서는 이종망 네트워크 환경을 모델링하여 대역폭이 최대 62%의 변화가 있는 경우에도 제안한 방법으로 지연이 거의 없이 실시간으로 비트율을 적응할 수 있음을 보인다.

• 근관절건강학회지
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• 제11권2호
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• pp.165-175
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• 2004

Purpose: To describe the psychosocial adaptation, physical disability and social support, and to examine whether the physical disability and social support influence the psychosocial adaptation of women with Rheumatoid Arthritis(RA). Method: This survey was conducted with 102 women diagnosed as RA using a structured survey tool between April 12th and 30th 2004. Results: The Physical disability ranged from 0 to 51, the average was 9.89(${\pm}12.15$), appearing that less severe than previous studies. The social support ranged from 29 to 168, and the average was 91.73(${\pm}31.44$). The age, marital status, and monthly income were associated with patient's perceived social support. The psychosocial adaptation ranged from 77 to 186 and the average was 132.12(${\pm}24.13$). Entering physical disability and social support into the model significantly improved the prediction of psychosocial adaptation: 45.1% of the variance of psychosocial adaptation was attributed by the physical disability (Beta=-.325) and the social support (Beta=.204). Additionally, the religion (Beta=.231) and monthly income (Beta=.381) were significant predictors of the psychosocial adaptation. Conclusions: (1) Programs to improve physical disability of the clients are needed. (2) Marital status and age should be considered when the programs are developed. (3) More social support should be provided to the women with RA. (4) Adequate financial support is essential for the psychosocial adaptation of women with RA.

• 한국멀티미디어학회논문지
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• 제6권4호
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• pp.676-684
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• 2003

eLearning can be defined as an approach to teaching and teaming that utilises Internet technologies to communicate and collaborate in an educational context. This includes technology that supplements traditional classroom training with web-based components and learning environments where the educational process is experienced online. The use of hypertext as an educational tool has a very rich history. The advent of the internet and one of its major application, the world wide web (WWW), has given a tremendous boost to the theory and practice of hypermedia systems for educational purposes. However, the web suffers from an inability to satisfy the heterogeneous needs of a large number of users. For example, web-based courses present the same static teaming material to students with widely differing knowledge of the subject. Adaptive hypermedia techniques can be used to improve the adaptability of eLearning. In this paper we report an approach to the design a unified implementation framework suitable for web-based eLearning that accommodates the three main dimensions of hypermedia adaptation: content, navigation, and presentation. The framework externalises the adaptation strategies using XML notation. The separation of the adaptation strategies from the source code of the eLearning software enables a system using the framework to quickly implement a variety of adaptation strategies. This work is a part of our more general ongoing work on the design of a framework for adaptive content delivery. parts of the framework discussed in this paper have been imulemented in a commercial eLearning engine.

• 한국환경과학회지
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• 제20권6호
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• pp.789-798
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• 2011

Climate change assessment, together with climate change adaptation process, would be one of the worldwide important issues, and the study on climate change vulnerability indicator has been an essential problem for climate change adaptation. Vulnerability indicator can be used as a good tool to estimate the impact of climate change and to map out the distribution of its vulnerability over the given area both in Korea and other countries. This study addressed the conceptual summary on the assessment of climate change and its adaptation process. Previous studies on how to yield the vulnerability indicators of climate change are reviewed and several previous results of vulnerability indicators applied to Korean provinces are also discussed here.

• 한국기후변화학회지
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• 제3권1호
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• pp.13-24
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• 2012

우리나라 지자체별 기후변화적응과 연관된 필요한 기초 자료를 생산하고 관리하는 도구로서 CCGIS(Climate Change Adaptation Toolkit based on GIS)를 개발하였다. CCGIS 개발의 주요 목적은 기후변화적응대책을 위해 필요한 중요한 정보와 데이터들을 제공할 뿐만 아니라, 기후변화적응 대책 마련에 필요한 기후변화 취약성 지수를 산정하는 데 있다. 본 논문에서는 CCGIS에 탑재된 기후 및 대기환경모델로 모의된 2000년과 2020년, 2050년, 2100년의 IPCC SRES(A2, B1, A1B, A1T, A1FI, A1 시나리오) 배출량 시나리오별 현재 및 미래 기후 자료를 생산하고, 이를 토대로 기후변화 적응에 필요한 자료를 제공하고, 표출하는 과정을 기술하였다. 아울러 한반도 지자체를 대상으로 CCGIS를 이용한 기후변화 취약성지수의 특성과 공간 분포, 그리고 그 산출 과정을 설명하고, 그 활용성을 논하였다.

• 대한기계학회논문집
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• 제18권8호
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• pp.1939-1951
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• 1994

This study introduces a new tool breakage detecting technology comprised of an unsupervised neural network combined with adaptive time series autoregressive(AR) model where parameters are estimated recursively at each sampling instant using a parameter adaptation algorithm based on an RLS(Recursive Least Square). Experiment indicates that AR parameters are good features for tool breakage, therefore it can be detected by tracking the evolution of the AR parameters during milling process. an ART 2(Adaptive Resonance Theory 2) neural network is used for clustering of tool states using these parameters and the network is capable of self organizing without supervised learning. This system operates successfully under the wide range of cutting conditions without a priori knowledge of the process, with fast monitoring time.

• 한국기계가공학회지
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• 제20권9호
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• pp.90-96
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• 2021

As real-time data of factories can be collected using various sensors, the adaptation of intelligent unmanned processing systems is spreading via the establishment of smart factories. In intelligent unmanned processing systems, data are collected in real time using sensors. The equipment is controlled by predicting future situations using the collected data. Particularly, a technology for the prediction of tool wear and for determining the exact timing of tool replacement is needed to prevent defected or unprocessed products due to tool breakage or tool wear. Directly measuring the tool wear in real time is difficult during the cutting process in milling. Therefore, tool wear should be predicted indirectly by analyzing the cutting load of the main spindle, current, vibration, noise, etc. In this study, data from the current and acceleration sensors; displacement data along the X, Y, and Z axes; tool wear value, and shape change data observed using Newroview were collected from the high-speed, two-edge, flat-end mill machining process of SKD11 steel. The support vector machine technique (machine learning technique) was applied to predict the amount of tool wear using the aforementioned data. Additionally, the prediction accuracies of all kernels were compared.

• 아동학회지
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• 제37권6호
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• pp.35-56
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• 2016

Objective: This study aimed to develop and validate the Childcare Adaptation Scale for Infants and Toddlers (CASIT), which is rated by teachers of Korean children. Methods: The participants consisted of 326 childcare teachers working with infants (ages 0-2 years). Content validity, discriminant validity, convergent validity, concurrent validity, internal consistency, inter-rater reliability, and item discrimination were examined using PASW 18.0 and AMOS 19.0. Results: The results of an exploratory factor analysis identified the 29-item scale and six dimensions of the scale, including group life adaptation, negative behaviors, positive affect, regular routines, activity/interest, and peer interaction. Convergent validity was examined via confirmatory factor analysis, average variation extracted (AVE), and construct reliability, and acceptable evidences of convergent validity was established. The scales were shown to be highly consistent internally and among raters. Also, the mean between the upper group and lower group of each item regarding item discrimination showed a significant difference. Conclusion: It was concluded that the CASIT, which is a quick and convenient tool for teachers to use, is a valid and reliable instrument.

• Human Ecology Research
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• 제53권1호
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• pp.29-47
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• 2015

The purpose of this study is to conceptualize the definition of school readiness specific to the context of the Republic of Korea. The school readiness test can be used as basic data to enable early childhood educational institutes to determine the general readiness of preschoolers and provide support to fit individual characteristics. For this purpose, six stages of the school readiness development process were considered, that is, draft development, primary preliminary survey, primary expert verification, secondary expert verification, secondary preliminary survey, and main survey. In the main survey, tests were conducted using the school readiness final draft targeting 344 preschoolers living in Seoul and Gyeonggi-do. The item discrimination power analysis and factor analysis for the examination area and question area were also conducted. Consequently, a test tool was developed on the basic of the results obtained, consisting of 129 items in the five areas of knowledge, function, adaptation, tendency, and attitude. The knowledge area was divided into general, linguistic, and mathematical knowledge, and the function area into fine motor function, basic living ability, expressive function, and gross motor function. The adaptation area was classified into adaptation activity, separation anxiety, maladaptive behavior, and environment adaptation; the tendency area into learning tendency; others understanding, and individual tendency, and the attitude area into rule compliance and life habits.