• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.19 no.1
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• pp.85-93
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• 2001

Digital mapping project of topographic map was conducted according to the master plan for the development of the National Geographic Information System, to manage national geo-spatial information efficiently in rapidly changing information technology society. It needed to correct and supplement digital map because of time pressure, sudden urbanization and users'need. In this study, after the framework data of thematic map was given a definition based on data model of National Base Map, data model of topographic-cadastral map was presented. Also data format and meta data suited to presented data model of topographic-cadastral map were presented so that they could be used in various fields.

• Journal of the Korean Home Economics Association
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• v.42 no.4
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• pp.11-27
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• 2004

본 연구의 일차적 목적은 어머니의 특성과 관련된 요인들이 양육효능감에 미치는 영향을 살펴보고, 양육효능감이 어머니의 특성과 관련된 요인들과 자녀양육 행동과의 관계에서 매개역할을 하는 것인가를 분석하였다. 그리고 양육효능감, 자녀 양육행동, 아동 발달과의 상관관계를 살펴보았다 미국 내 거주하는 Early Head Start 프로그램 의 수혜 자인 저 소득층의 어머니와 영 아들을 (출생∼36개월) 대상으로 한 본 연구결과에 의하면 어머니의 특성과 관련된 요인들로 어머니의 연령, 소득수준, 양육에서 오는 스트레스가 양육효능감에 영향을 미치는 것으로 나타났다. 양육효능감은 어머니의 특성과 관련된 요인, 특히 어머니의 연령과 양육행동과의 관계에서 매개역할을 하는 것으로 나타났다 양육효능감, 양육행동, 아동발달과의 상관관계 분석에서는 양육효능감과 양육행동에서만 유의한 정적인 강관관계가 있는 것으로 나타났다. 지금까지의 선행연구들과는 맥을 같이하는 연구결과이지만, 저소득층(high-risk families)의 어머니와 영아를 대상으로 양육효능감을 포괄적이고 체계적으로 이해하고자 하였다는데서 의의를 찾을 수 있다. 나아가, 이 연구의 결과는 저소득층을 위한 아동 및 가족의 통합적 복지사업을 실천하는데 있어 의미가 있는 것으로 시사된다. 사회 경제적 자립을 위한 기회 제공과 자녀양육을 하는데 있어서 전문가의 직접적인 모델링을 통한 부모교육을 통해서 양육효능감을 향상시켜나갈 때, 아동 및 가족 복지 실현의 궁국적 목적을 이룰 수 있을 것이다.

• Korean Journal of Social Welfare Studies
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• v.45 no.3
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• pp.151-178
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• 2014

Highly Differentiated and segmented social insurance scheme in Taiwan shows its salient dimension of stratification, which has been considered as a general feature of conservative welfare regime. However, compared to Western conservative welfare states, Taiwan's social insurance scheme shows a distinct feature. First, Taiwan's social insurance scheme has offered a full coverage for various benefits. Secondly, Labor Insurance and Government employees' Insurance reveal distinct features of stratification. Labor Insurance has developed a universalistic system based on status equality and cross-class solidarity of working classes while Government employees' Insurance includes a myriad of occupational- and status-based programs. This article aims to articulate the historical origin of Taiwan's unique social insurance scheme and explains it as an unintended result of state's political intervention and various interests of each insured groups, especially, politically, economically, and ethnically conflicting identities of government employees and working classes.

• Journal of KIISE
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• v.44 no.4
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• pp.417-422
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• 2017

Anomaly detection is the identification of data that do not conform to a normal pattern or behavior model in a dataset. It can be utilized for detecting errors among data generated by devices or user behavior change in a social network data set. In this study, we proposed a new approach using rank correlation coefficient to efficiently detect abnormal data in devices of a building. With the increased push for energy conservation, many energy efficiency solutions have been proposed over the years. HVAC (Heating, Ventilating and Air Conditioning) system monitors and manages thousands of sensors such as thermostats, air conditioners, and lighting in large buildings. Currently, operators use the building's HVAC system for controlling efficient energy consumption. By using the proposed approach, it is possible to observe changes of ranking relationship between the devices in HVAC system and identify abnormal behavior in social network.

• The Journal of Korean Academy of Sensory Integration
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• v.9 no.2
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• pp.1-13
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• 2011

Objective : Purpose of this study is to discuss benefits and implications of the clinical reasoning process and re-evaluation in the OTIPM by introducing a single case that occupational therapy intervention is provided based on the OTIPM. Methods : The case subject is a boy aged 5 years and 10 month who had diagnosed as attachment disorder and anxiety disorder from a pediatric psychiatrist before. The boy is referred to sensory integration therapy clinic and underwent occupational therapy intervention service twice a week for four month. Therapeutic activities for the intervention were consisted of sensory integration activities for restorative model, care-giver education for educational model, and performance skill training for acquisitional model. Measurements used in the initial evaluation are JSI-R, DDST-2, Social Maturity Test, KPPS-R, and observation-based performance task analysis. For the performance task analysis, performance skill items were constructed based on the Occupational Therapy Process Framework (OTPF), and those were assessed by the evaluation system of Assessment of Motor and Process Skill (AMPS) and Evaluation of Social Participation (ESI). Results : The detail process of implementing of the OTIPM in this study is reported by following four phases; 1) establish client-centered performance context; 2) establish baseline and interpret cause (initial evaluation); 3) intervention planning and implementing; and 4) recognize intervention outcome (reevaluation). Conclusion : In this case, occupational therapist could provide the client an occupation-based intervention within comprehensive performance context based on the OTIPM. Therapist could clearly identify the cause of problematic performance skills and behaviors and so provide effective intervention to improve client's occupational performance. Additionally, it was found that client's satisfaction of the intervention can be raised when the concept of 'who is the client' is expanded based on the OTIPM. From this study, it is proposed that OTIPM may be a model educible 'comprehensive' enhancement of 'specific' occupational engagement, as it considers both improvement of occupational performance and satisfaction.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.411-411
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• 2019

지형학적으로 다양한 형상을 가지고 있는 하천유역은 지역적 조건에 따라 뚜렷한 특징을 나타낸다. 이러한 조건은 하천유역의 발달 및 수문학적 특징에 영향을 미친다. 금회 연구는 여러 가지 유역의 특징 중 유역을 대표할 만한 특징을 이용하여 간단하고 유용한 하천 유역 분류 기법을 제시하였다. 하천유역의 여러 특징 중 지류교차각(Tributary Junction Angle)은 유역을 분석하기 위해 많이 사용되었으며 다른 특징들과 함께 유역 구분을 위해 분석되어 왔다. 하지만, 지류교차각만 이용하여 유역 분류를 제시하는 기법은 연구되지 않았다. 하천유역 분류 기법 제시를 위해 수지형 유역, 평행형 유역, 부채형 유역, 직사각형 유역, 격자형 유역 등 5가지의 형태를 중심으로 50개의 하천유역을 사용하였고, 지류교차각의 Beta Distribution 모델을 적용하여 매개변수 추정치 산정 후 유역 분류를 위한 분석을 실시하였다. 매개변수 추정치는 각 유역 형태 구분을 위해 적용되었고, 이후 Support Vector Machines를 이용하여 하천유역 형태를 분류하도록 하였다. 분석을 통한 결과는 일반적인 통계기법과 다른 유역형태 구분 기법을 이용하여 검증하였다. 제안된 기법은 수지형, 평행형, 부채형 유역 형태들에 대하여 정확하게 분류할 수 있으며, 얻어지는 결과는 중요한 수문학적 정보 제공에 사용 될 것으로 판단된다. 금회 연구를 통해 Beta 분포형의 매개변수 추정치는 하천유역 분류 적용에 유용하게 사용 될 수 있음을 확인하였고, 하나의 주요 유역 인자로 유역 구분이 가능함을 제시하였다. 향후 연구로는 하천유역 분류를 통해 수문학적인 동질 유역을 구분하여 수문모델의 수행능력을 향상 시킬 수 있는 수문모델 분석과 개발에 적용 될 수 있을 것이다.

• Journal of Korean Tunnelling and Underground Space Association
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• v.12 no.1
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• pp.15-29
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• 2010

Spalling is a kind of instability phenomenon of surrounding rock around underground openings subjected to high in-situ stress according to the development of extension fractures. Three kinds of spalling criteria have been presented so far; however, all spalling criteria have the range of values so that the fuzziness and vagueness of spalling criterion cannot be avoided. In this study, a new fuzzy probability model is proposed to predict the probability of spalling in a systematic way by using fuzzy probability theory. Many of the underground opening projects worldwide are evaluated with the proposed method. Prediction results expressed as the spalling probability agree well with the in-situ observations. In particular, a new fuzzy probability model considering all three evaluation indices of spalling by adopting weighting factors based on relative reliability among three evaluation indices is able to resolve erroneous prediction of spalling by choosing only one prediction method. Moreover, the more reasonable value of spalling probability could have been obtained by adopting the modified damage index to the newly proposed fuzzy probability model.

• Korean Journal of Social Welfare Studies
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• v.49 no.1
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• pp.297-334
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• 2018

This study focused on accomplishment of successful life development after discharge a child-care facility even though they had a variety of diversity in hard environment on their own past. Furthermore the research analyzed expression progress and detail information of resilience effect on twenty healthy members of society, who lived theirselves for more than 10 years at out of chid-care centers, based on grounded theory methodology participants. As written in the result section of the study, using the paradigm model analysis showed that it was caused by 'Practical planning for the future', 'Organization of positive meaning' and 'Understanding in another's shoe'. The contextual condition appeared as 'Self examination, 'Seeking anchor as ontology' and 'Natural intimacy among family members'. The centralization phenomenon came in 'Living philosophy of internal stabilities'. The intervention condition appeared as 'Rise up through the world' and 'faith all the world'. The action-interaction showed up as 'Strict self-discipline' and 'Growing up own family'. The consequence appeared as 'Making social family' and 'Being a someone's social mentor'. This research shows discussion in depth based on above analyzed result.

• Journal of the Korean Society of Child Welfare
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• no.59
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• pp.183-208
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• 2017

The purpose of this study was to identify groups depending on the change trajectory of child maltreatment in childhood and early adolescence. For this study, the data from waves two through six (2011-2015) of the Korean Children and Youth Panel Survey (KCYPS) were used. Participants included first-grade (n=2,300) and fourth-grade (n=2,325) elementary school students. A latent class growth model (LCGM) using Mplus 7.21 was adopted to classify the types of developmental trajectories of child maltreatment. The main results were as follows: First, in physical abuse, childhood from the second to the sixth grades was classified into four groups: decreased, low maintenance, increased, and no maltreatment type. In addition, early adolescence from the fifth grade of elementary school to the third grade of middle school was also classified into the same types. Second, in emotional abuse, childhood was classified into three groups: decreased, increased, and no maltreatment type. Early adolescence was classified into four groups: decreased, low maintenance, increased, and no maltreatment type. Third, in neglect, childhood was classified into four groups: maintenance, low decreasing, low increasing, and no maltreatment type. Early adolescence was classified into three groups: maintenance, low increasing, and no maltreatment type. According to the change of child maltreatment by developmental period, physical abuse continued from childhood to early adolescence, whereas emotional abuse and neglect increased in early adolescence compared to childhood. This study is meaningful in classifying latent classes depending on maltreatment types. Theoretical and practical implications were suggested based on the study results.

• Smart Media Journal
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• v.13 no.5
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• pp.19-25
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• 2024

The biggest type of behavior that prevents people with developmental disabilities from entering society is aggressive behavior. Aggressive behavior can pose a threat not only to the personal safety of the person with a developmental disability, but also to the physical safety of others. In this study, we propose a wearable system using a low-power processor. The proposed system uses an IMU (Inertial Measurement Unit) to analyze user behavior, and when attack behavior is not detected for a certain period of time through an LED array attached to the developed system, an interesting LED is displayed. By expressing patterns, we provide behavioral intervention through compensation to people with developmental disabilities. In order to implement a system that must be worn for a long time in a power-limited environment, we present a method to optimize performance and energy consumption across all stages, from data preprocessing to AI model application.