• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.504-510
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• 2002

As the Scale of construction work is enlarged, complicated and diversified, construction information from the large number of construction sites is happened at site and reported to the head office. To simultaneously control the individual or large number of sites in large number of construction information, the necessity of making extract the important point of the information and the board of director's making a suitable decision to support the fields is increased. Also, as driving the construction industry to be informative, efficiently aggregating the information created in fields, efficiently making decision and controlling the construction work is increased the importance of the company's competitiveness factor. To simultaneously control multi-construction sites in the small and medium size construction firms define the fundamental and core information factor which needed in the head office and suggest the appling method.

• The Journal of the Korea Contents Association
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• v.2 no.2
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• pp.53-63
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• 2002

As the microelectronics technology is developed, new types d smart intelligent produce are being emerged. OSD user interface is one of the critical factor in this kind of product, especially brown goods and information devices, as it is responsible for input and output function. OSD is being treated as accompaniment to hardware in spite of its importance, and therefore is developed from only simple and separate usability testing based on performance measurement. This study propose a usability evaluation method of OSD based on subjective preference to support existing usability testing. The purpose of this analysis is to make dear what is important factor and how its preference level is from the user's viewpoint. The various attributes of OSD are clarified from user's questionaire and interview, and orthogonal array is generated with specifed factor levels. The prototypes are generated from rapid prototyping tool and tested in natural simulation environment. The preference data which collected in this usability testing is analyzed with conjoint analysis module. This usability evaluation is not the final stage in user interface design process but the early famed and circulated stage.

• Research in Community and Public Health Nursing
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• v.31 no.3
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• pp.256-268
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• 2020

Purpose: This study aimed to explore ecological factors and strategies for childhood obesity prevention targeting vulnerable children using a community-based participatory research (CBPR) methodology. Methods: The CBPR was conducted by following basic process steps. Participants were 12 community stakeholders such as community child center directors (n=4), vulnerable children's mothers (n=3), community health center officials (n=2), and lay health advisors (n=4); they were purposively sampled from K municipal county in Seoul, South Korea. The qualitative content analysis was performed to explore main themes of the ecological factors and strategies by using data obtained from 5 times of focus group interview. Results: Twelve ecological factors associated with childhood obesity prevention were identified: Intrapersonal factors including emotional overeating; interpersonal factors including permissive parenting style of children's eating behaviors; organizational factors including social workers' less educational opportunities; and community/policy factors including less government financial support. Four ecological strategies for childhood obesity prevention were addressed: Developing obesity prevention programs targeting vulnerable children' lifestyles; promoting parents' active participation in education; building healthy meal service environments through empowering social workers; and building supportive community environment and securing community resources for child obesity prevention. Conclusion: Our findings may be informative in terms of providing a comprehensive understanding of multi-level ecological barriers against vulnerable children' obesity prevention and, moreover, guiding multi-level strategies for preventing childhood obesity targeting children enrolled in community child centers.

• Journal of Korean Elementary Science Education
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• v.21 no.2
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• pp.227-239
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• 2002

The purpose of this study was to improve the practice of performance assessment in elementary science education and to support it according to the levels teachers' concerns. So this study was conducted by applying CBAM which is based on teachers' concern, which was designed for the investigation of the elementary science teachers' concern, their performance level, intellectual understanding, status of performance. and stage oi awareness and the connections between these factors. The study involved 311 elementary school teachers in the city of Seoul. The result of this study was as follows: First, the stage of teachers’ concerns performance assessment in science marked 49.5％, indicating that about half of the teachers was staying on the informative stage which could be generally occurring in the beginning of performance the curriculum innovation. The level of performance marked 33.8%, which was regarded as the stage of elaboration. For the category of intellectual understanding, most of the teachers didn’t fully understood the performance assessment. Regarding the status performance, 90.4％ of the teachers were implementing the assessment at the state of knowing the purpose of it. However. 40.5% of the teachers didn't fully understand the specific characteristics of the assessment. Also, the results of analyzing the teachers’ awareness on science performance assessment indicated that they have slightly positive positions. Secondly, the result of analyzing the stages of concerns for the assessment, based on the elementary school teachers' personal background, levels of implementation, and their intellectual understanding showed that the concerns were significantly different with the categories of their workplaces(p<.05). Finally, the result of analyzing the relationship among the concerns for the science performance assessment, levels of implementation and intellectual understanding indicated that there were significant differences in levels of implementation with the degree of intellectual understanding (p<.001).

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.6
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• pp.687-692
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• 2004

In this paper, we proposed an efficient cache hoarding method in mobile computing environments using collaborative filtering. This method is used for solving the difficult problem of mobile computing, which is the vacuum of information service depending on low bandwidth, long delay, and frequent network disconnection. Many previous researches have been studied a cache hoarding approach for solving these problems of mobile client. But, the research of history information of mobile client did not support all informative requests for mobile clients. In our research, collaborative filtering model using history information and location data of mobile client is proposed. This proposed model supports an efficient service of necessary items for client's requirement. For the performance evaluation of proposed model, we make an experiment of simulation data using SAS enterprise miner. According to objective evaluation using cache hit ratio, we show that our model has a good result.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.sup3
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• pp.119-123
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• 2016

Thyroid cancer, the most common endocrine neoplasia, consists of four main types of carcinomas: papillary, follicular, and anaplastic, all with thyroid follicular origin, and medullary thyroid cancer (MTC) related to para-follicular cells. Cronic diseases such as diverse cancers may be associated with cachexia, especially at advanced stage. Cancer-induced cachexia is associated with diminished quality of life, functional performance, reduced response to antitumor therapy, and increased morbidity and mortality. Myostatin (Mst) is one of the outstanding molecules in the skeletal muscle loss process in cancer and it may be released by both skeletal muscle and cachexia-inducing tumors. Recently changes in serum levels of Mst have been identified as an important factor of cancer-induced cachexia. The goal of this study was to assessserum Mst levels in MTC patients. In this descriptive and case-control study, 90 participants were selected, comprising 45 MTC patients (20 males, $29{\pm}13.9years$, 25 females, $29{\pm}14.5years$) and 45 control individuals (25 males, $23.1{\pm}11.6years$, 20 females, $31.5{\pm}14.4years$). Serum Mst was determined using an ELISA kit and body mass index (BMI) was calculated by weight and height measurements. The Kolmogorov Simonov test showed a normal distribution for log transformed Mst serum levels in both case and control groups. Geometric means were 5.9 and 8.2 ng/ml respectively, and a significant difference was found according to the independent t-test results (P<0.01). There was also a significant difference mean of Mst between females in control and MTC groups, but not for the males. Pearson correlation test showed no correlation between age and BMI with Mst serum levels. The findings of this study support the hypothesis that Mst serum levels may have a potential ability for early diagnosis of cachexia in MTC patients, especially in females.

• Korean Journal of Social Welfare
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• v.58 no.2
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• pp.197-222
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• 2006

This study distinguishes the aging population as young-old and old-old women. It examines the difference of each variable between young-old and old-old women. Also, it examines the effect of physical, psychological, social, economic and environmental factors on the quality of life for older adults in both groups and compares the effects on the quality of life between both groups. The sample of this study is collected from Daegu and Kyungbuk province and the sample size of this study is 310. As statistical method, t-test, $X^2$ and hierarchical multiple regressions are used. As demographic factors, age, marital status, income and education are controlled. The research results show that marriage, perceived health, self-esteem and social support are important factors of affecting on the quality of life for both groups. However, for young-old group, the perceived economic hardship and the receipt of social welfare affect negatively and social participation affects positively on the quality of life. On the other hand, for old-old group, informative social role affects positively and social participation affects on the quality of life negatively.

• Korean Journal of Remote Sensing
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• v.39 no.5_1
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• pp.507-519
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• 2023

Multi-temporal optical images have been utilized for time-series monitoring of croplands. However, the presence of clouds imposes limitations on image availability, often requiring a cloud removal procedure. This study assesses the applicability of various machine learning algorithms for effective cloud removal in optical imagery. We conducted comparative experiments by focusing on two key variables that significantly influence the predictive performance of machine learning algorithms: (1) land-cover types of training data and (2) temporal variability of land-cover types. Three machine learning algorithms, including Gaussian process regression (GPR), support vector machine (SVM), and random forest (RF), were employed for the experiments using simulated cloudy images in paddy fields of Gunsan. GPR and SVM exhibited superior prediction accuracy when the training data had the same land-cover types as the cloud region, and GPR showed the best stability with respect to sampling fluctuations. In addition, RF was the least affected by the land-cover types and temporal variations of training data. These results indicate that GPR is recommended when the land-cover type and spectral characteristics of the training data are the same as those of the cloud region. On the other hand, RF should be applied when it is difficult to obtain training data with the same land-cover types as the cloud region. Therefore, the land-cover types in cloud areas should be taken into account for extracting informative training data along with selecting the optimal machine learning algorithm.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.11 no.2
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• pp.161-168
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• 2001

The types of exposure data needed in an industry-based study depend on the diseases of interest and the study design to be used. The best situation occurs when we have quantified personal exposure estimates for the agents of interest, the least informative case occurs when we have only knowledge of the fact of employment in a plant, industry, or trade where exposure probability is high. Exposure information for most industry-based studies falls somewhere between these tow extremes. Job exposure matrices(JEM) are designed to link information on occupation with information on exposure to specific workplace hazards. Some forms of systematic error of bias may be less likely to occur in studies that utilize job-exposure matrices to indirectly infer exposures from job titles than in studies that assess exposures by asking subjects about their past exposure. JEM can be used effectively in industry-based studies for historic cohort studies, case-control study to assist with the retrospective assessment of occupational exposures among workers whose individual exposure histories are unavailable. JEM generally consist of a computerized database that links information about job categories and likely exposures. These two major axes may be stratified by calendar time. This article reviews the design of JEM in support of industry-based studies. Specific matrices may find broader applicability along with the increasing availability of detailed hygienic data.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.16 no.1
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• pp.54-62
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• 2005

Objective : Attention deficit hyperactivity disorder (ADHD) is the most common childhood psychiatric disorder, affecting $3-5\%$ of school age children. Although the biological basis of ADHD is unknown, family studies provide strong evidence that ADHD has a genetic basis. Recent genetic studies have suggested associations between ADHD and Taq I polymorphism of dopamine beta hydroxylase gene(DBH) . The aim of this study is to test the association between ADHD and Taq I polymorphism of DBH in Korean population. Method : We processed DNA extraction and genotyping for 106 korean children with ADHD and their parents. Genotyping was additionally performed for 212 age and gender matched normal controls. Case-control association study was applied. And we tested the association using the transmission disequilibrium test (TDT) and haplotype-based haplotype relative risk test (HHRR). Results : There were no statistical differences of genotype distributions between cases and controls. However, we did observe preferential transmission of allele Al of DBH Taq T polymorphism in ADHD. Conclusion : On the whole, our results lend credence to the notion that the relationship between ADHD and DBH is complex. The number of cases and informative transmissions were small, therefore it would be premature to make any conclusions from our study concerning the role of DBH in ADHD. Further work is needed to support these findings.