• Journal of Technology Innovation
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• v.24 no.2
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• pp.1-20
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• 2016

This case is to analyze the structure of technology convergence with social network analysis. More specifically, the convergence structure among input technologies mediated with products is analyzed with 2-mode social network analysis. Products are identified in project's goal and coded as the Korea Standard Industrial Classification. The input technologies are coded as the National Science Technology Classification. The subjects were 401 R&D projects applied to '2012 Convergence Technology Development Project for Small and Medium Businesses' promoted by Korea Technology & Information Promotion Agency for Small and Medium Enterprises. IT sectors had the structure of a particular input technology connected to many products, BT sectors also had a few input technology connected to many products but most were connected to specific products. Therefore We have realized that each convergence area had different convergence structure. There were the difference of connectivity centrality between input technologies and input technologies mediated with products. For IT sectors, the embedded S/W were the highest in both cases. For BT sectors, functional cosmetic development and fermentation technology were the highest in input technologies but fermentation technology was not the highest in input technologies mediated with products. This case defines the convergence based on the real projects and the use for managing and planing projects. Therefore, this case was to make a tool to analyze and design technology convergence projects.

• Journal of Navigation and Port Research
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• v.38 no.6
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• pp.607-614
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• 2014

This article aims to explore and discuss research trends in global cruise industry using keyword network analysis. We visualize keyword networks in each of four groups of 1982-1999, 2000-2004, 2005-2009, 2010-2014 based on the top 20 keyword nodes' degree centrality and betweenness centrality which are selected among four centrality measurements, comparing them with frequency order. The article shows that keyword frequency collected from 240 articles published in international journals is subject to Zipf's law and nodes degree distribution also exhibits power law. We try to find out research trends in global cruise industry to change some important keywords diachronically, visualizing several networks focusing on the top two keywords, cruise and tourism, belonging to all the four year groups, with high degree and betweenness centrality values. Interestingly enough, a new node, China, connecting the top most keywords, appears in the most recent period of 2010-2014 when China has emerged as one of the rapid development countries in global cruise industry. Therefore keyword network analysis used in this article will be useful to understand research trends in global cruise industry because of increase and decrease of numbers of network types in different year groups and the visual connection between important nodes in giant components.

• Korean Journal of Social Welfare
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• v.52
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• pp.241-272
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• 2003

The Self-Support Program was introduced as an antipoverty policy at 2002 year in Korea. But, the Self-Support Program's negative or positive effects have been debated from diverse perspectives to the present. Thus, in this paper, we analyzed the effects of the Self-Support Program using the survey data from program participants. Even though the effects of Workfare Programs can be evaluated by various indicators(ex. income, employment status, poverty status, etc.), in our analysis the effects of the Self-Support Program are evaluated by participants' self-reliant attitudes and behaviors. Major findings are as follows. First, we found that some kinds of self-reliant attitudes(ex. work commitment, self-esteem, etc.) were build up through participation on the Self-Support program, but some kinds of self-reliant factors(job competence and skill, self-sufficiency prospect, etc.) which are more relevant to the self-sufficiency were not build up thorough it. Second, we found the positive effects of the program among people who are females, olders, less educated, more healthy, and the participants who have acquired more certificate of qualifications. Third, we also found that self-support center's job training program, adequate task matching, agency climates and intra-networks influence on the positive effects of the Self-Support Program. These findings suggest that the Self-Support Program has not been successful up to now and it's reformations are required. It means that objectives of the Self-Support Program as an anti-poverty policy must be obvious and program contents must be diverse. And also program administration systems need to be reformed in oder to raise the effectiveness of the Self-Support Program.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.103-128
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• 2021

Recently, investors' interest and the influence of stock-related information dissemination are being considered as significant factors that explain stock returns and volume. Besides, companies that develop, distribute, or utilize innovative new technologies such as artificial intelligence have a problem that it is difficult to accurately predict a company's future stock returns and volatility due to macro-environment and market uncertainty. Market uncertainty is recognized as an obstacle to the activation and spread of artificial intelligence technology, so research is needed to mitigate this. Hence, the purpose of this study is to propose a machine learning model that predicts the volatility of a company's stock price by using the internet search volume of artificial intelligence-related technology keywords as a measure of the interest of investors. To this end, for predicting the stock market, we using the VAR(Vector Auto Regression) and deep neural network LSTM (Long Short-Term Memory). And the stock price prediction performance using keyword search volume is compared according to the technology's social acceptance stage. In addition, we also conduct the analysis of sub-technology of artificial intelligence technology to examine the change in the search volume of detailed technology keywords according to the technology acceptance stage and the effect of interest in specific technology on the stock market forecast. To this end, in this study, the words artificial intelligence, deep learning, machine learning were selected as keywords. Next, we investigated how many keywords each week appeared in online documents for five years from January 1, 2015, to December 31, 2019. The stock price and transaction volume data of KOSDAQ listed companies were also collected and used for analysis. As a result, we found that the keyword search volume for artificial intelligence technology increased as the social acceptance of artificial intelligence technology increased. In particular, starting from AlphaGo Shock, the keyword search volume for artificial intelligence itself and detailed technologies such as machine learning and deep learning appeared to increase. Also, the keyword search volume for artificial intelligence technology increases as the social acceptance stage progresses. It showed high accuracy, and it was confirmed that the acceptance stages showing the best prediction performance were different for each keyword. As a result of stock price prediction based on keyword search volume for each social acceptance stage of artificial intelligence technologies classified in this study, the awareness stage's prediction accuracy was found to be the highest. The prediction accuracy was different according to the keywords used in the stock price prediction model for each social acceptance stage. Therefore, when constructing a stock price prediction model using technology keywords, it is necessary to consider social acceptance of the technology and sub-technology classification. The results of this study provide the following implications. First, to predict the return on investment for companies based on innovative technology, it is most important to capture the recognition stage in which public interest rapidly increases in social acceptance of the technology. Second, the change in keyword search volume and the accuracy of the prediction model varies according to the social acceptance of technology should be considered in developing a Decision Support System for investment such as the big data-based Robo-advisor recently introduced by the financial sector.

• Journal of Navigation and Port Research
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• v.33 no.5
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• pp.295-301
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• 2009

Recently, considerable number of bridges crossing over navigable waterways are under construction for the connection of coastal islands with mainland and the optimization of logistic system However, the most planned bridges have been initiated without paying much attention to ships safety aspects but with great emphasis on the economic factors, it has often been confronted with difficult social issues arising from opposing views and conflicts between building bodies and affected port users. The main reason for the conflicts is the lack of standards or specifications on the bridge design The proper location and scale of sea bridges are suggested in this paper considering fairway design criteria of both domestic and foreign countries, status analysis on the designs of existing and planned bridges, investigation findings of bridge-related marine accidents, the views of pilots and navigators collected through questionnaire. Since there is no general domestic or international design rules on bridge's scale, the design standards proposed in this paper may be useful at initial design stage of bridge.

• Journal of agricultural medicine and community health
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• v.25 no.1
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• pp.1-9
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• 2000

A public perception survey of environmental health due to small-scale industries was conducted in Sudong Myun, Namyangju City, Kyungki Do, recently being changed to industrialized rural community. This survey had the purpose to ascertain public interest, to identify public needs, and to assess participation for environmental health programs of rural community. The results of survey were as follows: 1. The rate of the respondents with factory worker 19.4% and half(53.1%) of respondents had lived nearby the factory. 2. Some respondents were not favor their neighboring factories(30.1%) and have discussed about its environmental problems in community meeting(14.4%) especially in neighborhood adjacent factories. 3. The respondents have perceived that: (1) major problems were water contamination, air pollution, nasty odor, dust, and noise (2) health problems were more serious in employees than in other residents (3) the employers were responsible for environmental problems (4) the health service should provided by public health center channel and participated by the residents (5) most important service for workers was improvement of working conditions. We hope the community environmental and/or occupational health delivery system for the employees and residents will be developed true public health center channel in a rural community on the basis of this result.

• Korean Journal of Family Social Work
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• no.23
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• pp.263-302
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• 2008

The study had four purposes as follows; First, the researcher tried to find the characteristics of conflict. Second, the researcher attempted to find the factors influencing the conflict between mother and the eldest son, Third, the study attempted to find the therapist's intervention techniques, which were caused the change of the conflict between mother and the eldest son. Lastly, the study was to find the changed contents of family relationships. The total family counseling was 13 sessions, which included individual and family counseling. The study used constant comparative analysis by using open coding method to find the factors. Also, the researcher used Miles and Huberman's matrix and graphical network display to show the relationships among factors influencing the conflicts between mother and the eldest son. The study found the boundary problem of family, family's undifferentiated ego, dysfunctional communication patterns, and mother's experience from family of origin as factors influencing the conflict between mother and the eldest son. On the other hand, the study found that the therapist used the formation of therapeutic alliance relationship, guide of communication skills, the reflection of repeated pattern, reframing and a metaphor as intervention methods. The result of study revealed that changed level of family relationship, activating functional communication, changed boundary among family members, differentiated ego of family members, and changed cognition as the changed contents of family relationship.

• Journal of Christian Education in Korea
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• v.68
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• pp.11-40
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• 2021

The coronavirus pandemic has brought about significant negative changes in our society to the point where it has to be divided into 'Before Corona'(BC) and 'After Corona'(AC). Typical examples include economic difficulties and medical inequality of some social excluded groups as well as individuals who die alone because they are alienated from social networks, and hate and violent discrimination against Asian immigrants, which are rapidly increasing in Western countries in these days. In addition, the pandemic is at a global level, ranging from the vaccine gap between the first and third worlds, triggered by competition for securing vaccines between countries that put their own interests first, the income gap due to changes in the economic environment and financial market, and the bankruptcy of individuals and corporations. In 'all'(pan) and 'people'(demos) became a limit situation that could not be avoided. There is also the opinion that the world could witness the worst catastrophe if the pandemic spreads to poor countries at risk of increasing violence, poverty and famine. The purpose of this paper is to examine the changes in society caused by the Coronavirus pandemic and to suggest the direction of Christian education accordingly. To this end, this paper analyzes the medical, economic, and psychological crises that society faces in the post-corona era. Next, we look at the changes in Christian theology, mission, and worship, which are strongly required for fundamental changes in the context of the pandemic. Based on the above discussion, we propose a new direction for Christian education necessary in the post-corona era.

• The Journal of Korean Philosophical History
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• no.27
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• pp.417-446
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• 2009

This study was to review the features of the preventive dimension in connection with adolescent deviation on the basis of the morality and ethics held by Confucian doctrine. To find solutions to the problems of adolescent deviation is never easy. As adolescent deviation always does occur, it is important to consider the methods that can minimize and prevent it. The traditional society of Korea laid weight on the education and training in the aspect of preventive measure against such adolescent deviation by emphasizing moral edification and realization of spiritual understanding for it. In this paper, the researcher tried to understand the problem situations by examining the image of such deviation and its type as well as the method on response thereto targeting the young generation of Korea. In addition, the researcher analyzed how the adolescent was recognized in the traditional society that was established on the Confucian values, and moral standards that applied to them, and the process of education as well. Through the moral concepts of Confucianism that were revealed in the Doctrine of the Mean (中庸, pronounced 'Jungyong' in Korean) in particular, the researcher sought the possibility of education on morality and ethics that will be able to prevent adolescent deviation. This study suggests that the morality and ethics held by Confucian doctrine can prevent adolescent deviation and open a new horizon of ethics education.

• Journal of Family Resource Management and Policy Review
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• v.27 no.2
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• pp.35-47
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• 2023

The purpose of this study was to understand family changes and dynamics of and to suggest institutional/policy-level tasks for coping with them, by paying attention to changing family values of single-person households and their caring work performed in everyday life. This study selected 11 single-person households residing in Ulsan by considering their age and marital status, and analyzed their overall daily lives, family values, and the characteristics of household work and caring. The characteristics of these single-person households in Ulsan, not only showed the coexistence of "simplicity, but instability" when maintaining and living their own lives, but also showed the ambivalent characteristics of family values by showing a gap between the perception and reality of diversity. In regard to family life, the participants complained of difficulties in "caring and relationship of family of origin" and the "economic factors", and notably showed the "dual value system". For a more stable life, the single-person households were forming social networks to relieve a sense of isolation and loneliness, and to recover relationships, instead of limiting themselves to only the traditional method of family formation. Thus, it would be possible to respond to family changes when changes are promoted in each area of "the perception of life", "family life", and the "family & social relationship", and this research suggests policy-level tasks based on the results of this study.