• Korean Journal of Social Welfare
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• v.51
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• pp.157-182
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• 2002

This study attempts to identify the changes in social reactions to disabilities in general, and to research the contextual implication of these changes in social work practice in Korea. In the early years after the Industrial Revolution, disability was conceived as social unfitness and it was assumed that the cause and responsibility could be attributed to people with disabilities. But, in the midst and late 20th century, social responsibility for people with disabilities was argued and generally accepted. As the results of these changes, conceptual models explaining disabilities have changed gradually; there has been a transition, so called, from individual model to social model. In a similar vein, WHO has refined the definition and classification of disability. Related to these changes, social welfare service paradigm for people with disabilities has shifted. This paradigm shift can be explained with the perspective of strength approach, empowerment approach, case management and independent living model. In Korea, 1998 Act on welfare for people with disabilities meant that social service for the disabled were categorized with, namely, residential service, community rehabilitation service and vocational rehabilitation service. Recently, the extent of these services has been rapidly broadened. In these situation, this study researched to identify the implications on social work practice in the context of changes in social response, conceptual model, definition and also service paradigm. Such as the followings are enumerated for the implications: disabled person's participation in assessment process, development of assessment tools focusing on social and environmental perspectives, reinforcement of information service helping self-determination, supporting on formal and informal helping network, expanding self-help programs and, finally, a shift from displacement model to support model.

• Korean Journal of Animal Reproduction
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• v.25 no.4
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• pp.295-304
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• 2001

Characterization of quantitative trait loci (QTL) was investigated in the experimental crosses between Berkshire and Yorkshire breed. A total of 525 F$_2$ progenies from 65 matting of F$_1$ Parents were produced. Phenotypic measurements included average daily gain (ADG), average back fat thickness (ABF), and loin eye area (LEA). To identify the presence of QTL for reproductive performance, birth weight (BWT) and body weight at 16 days (16DAY) were included as indirect trait. QTL segregation was deduced using 8 markers assigned to chromosome 2 (SSC2). Quantitative trait locus analyses were performed using interval mapping by regression under line-cross model. Presence of imprinting was tested under the statistical model that separated the expression of paternally and maternally inherited alleles. To set the evidence of QTL presence, significance thresholds were derived by permutation following statistical tests, respectively. Genome scan revealed significant evidence for three quantitative trait loci (QTL) affecting growth and body compositions, of which two were identified to be QTL with imprinting expression mode near the ICF II gene region. For average back fat thickness (ABF), a paternally expressed QTL was found on chromosome 2 (SSC2). A paternally expressed QTL affecting loin eye area (LEA) was found in the region of SSC2 where evidence of imprinted QTL was found for average back fat thickness (ABF). For average daily gain (ADG), QTL expressed with Mendelian mode was found on chromosome 2 (SS2). Also, QTL affecting average daily gain (ADC), was identified to be expressed with Mendelian express mode.

• Journal of Korea Entertainment Industry Association
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• v.15 no.4
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• pp.349-357
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• 2021

Recently, drones are rapidly becoming common and expanding. There is a great need for diversity in whether drone flight data can be used as entertainment technology analysis data. In particular, it is necessary to check whether it is possible to analyze and utilize the flight and operation process of entertainment drones, which are developing through autonomous and intelligent methods, through data analysis and machine learning. In this paper, it was confirmed whether it can be used as a machine learning technology by using FC data in the evaluation of drones for entertainment. As a result, FC data from DJI and Parrot such as Mavic2 and Anafi were unable to analyze machine learning for entertainment. It is because data is collected at intervals of 0.1 second or more, so that it is impossible to find correlation with other data with GCS. On the other hand, it was found that machine learning technologies can be applied in the case of Fixhawk, which used an ARM processor and operates with the Nuttx OS. In the future, it is necessary to develop technologies capable of analyzing the characteristics of entertainment by dividing fixed-wing and rotary-wing flight information. For this, a model shoud be developed, and systematic big data collection and research should be conducted.