• Korean Journal of Social Welfare Studies
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• v.47 no.1
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• pp.93-121
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• 2016

The aim of this study is to reveal development processes of mothers with disabled children as active human agents utilizing social welfare institutions. Many social welfare studies have generally described welfare service users as passive subjects alienated from welfare information and subordinate to dominant welfare system. However, this investigation indicates that they do not merely remain as passive policy targets. They also perform as active actors who seek for useful information, strategically acquire profits in the given system despite institutional constraints, and create new welfare institutions. Through in-depth interviews with 11 mothers of disabled children with brain lesions, this study has derived a grounded theory on the mothers' maturation processes in interaction with social welfare institutions, which consist 6 stages(entering, awakening, exploring, struggling, resigning and utilizing period). This substantive analysis on the survival processes of mothers with disabled children in the social welfare system provides empirical knowledge and evidence about relationship between the structure and agents. It also suggests a practical policy proposal for disabled people and their families based on these stages.

• Journal of Physiology & Pathology in Korean Medicine
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• v.33 no.5
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• pp.255-260
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• 2019

Oriental Diagnosis System(ODS) is an artificial intelligence program that utilize entered diagnosis knowledge, determine patient's disease and decide right medicine. The purpose of this study is to find a correlation between pattern Identification in Korean medicine and each sasang types(So-Yang, So-Eum and Tae-Eum) by analyzing ODS diagnosis result. Eventually our study secure availability of using ODS program at clinical training or developing diagnosis program. Subject of this study is 32 students participating in Sasang medical practice(12 subjects were So-Yang, 7 subjects were So-Eum, and 13 subjects were Tae-Eum). We analyze subject's clinical practice result reports by using ODS program and obtained result about pattern Identification. We used SPSS statistics 23 in analyzing the differences of the scores of Eight Principle Pattern Identification, Qi-Blood Pattern Identification, Bing-xie Pattern Identification, and Visceral Pattern Identification in each Sasang types (So-Yang, So-Eum, Tae-Eum). In the case of Heat-moisture, Tae-Eum showed higher score than So-Eum, but So-Yang showed no difference from the other two Sasang types(p<0.05). And in the case of Food-accumulation, Tae-Eum and So-Yang showed significantly higher score than So-Eum(p<0.05). It is hard to generalize the result because subject of this study was not enough. However, we explained correlation between pattern Identification in korean medicine and each sasang types based on quantifiable and objective evidence system. Therefore use of ODS program in student clinical practice training help to understand the relationship and correlation between different pattern Identification and will help standardization of clinical practice education.

• Journal of Physiology & Pathology in Korean Medicine
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• v.32 no.6
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• pp.370-374
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• 2018

Oriental Diagnosis System(ODS) is an artificial intelligence program that utilize entered diagnosis knowledge, determine patient's disease and decide right medicine. The purpose of this study is to find a correlation between pattern Identification in Korean medicine and each sasang types(Tae-Eum and So-Yang) by analyzing ODS diagnosis result. Eventually our study secure availability of using ODS program at clinical training or developing diagnosis program. Subject of this study is 50 patients who was performed Sasang constitution diagnosis (28 patients were Tae-Eum and 22 patients were So-Yang). We analyize patient's diagnosis records by using ODS program and obtained result about pattern Identification. We used SPSS statistics 23 in analyzing the differences of the scores of Eight Principle Pattern Identification, Qi-Blood Pattern Identification, and Bing-xie Pattern Identification in each Sasang types (Tae-Eum, So-Yang). The Heat and Heat-moisture scores were significantly different(p<0.05) and Qi-Blood Pattern Identification scores were not different in each Sasang types(p>0.05). And Weight was significantly different in each Sasang types(p<0.05). It is hard to generalize the result because subject of this study was not enough and had sample speciality(tinnitus patients). However, we explained correlation between pattern Identification in korean medicine and each sasang types based on quantifiable and objective evidence system. it can be used at education of korean medicine and evidence of practice diagnosis. Futhermore, there have been no studies about anaylizing correlation between pattern Identification in Korean medicine and each sasang types using ODS program. So it is worthy of being utilized at clinical evidence data of ODS program.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.3
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• pp.409-418
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• 2019

For the success of construction projects, construction companies have begun to recognize the innovation ability of members who participate in projects that can adapt and cope with environmental changes caused by knowledge-based informatization and globalization. The questionnaire of the research selected 254 final valid samples of the members participating in the construction project using online. An empirical analysis of the research model used the structural equation model (Smart-PLS 2.0). The purpose of this study is to investigate the effect of psychological ownership on person-job fit and rewards system in the construction project. First, person-job fit has a positive effect on psychological ownership. Second, intrinsic rewards and extrinsic rewards in the rewards system have a positive effect on the psychological ownership. Third, psychological ownership has a positive effect on innovative behavior. Finally, the mediating effects of psychological ownership were found to have no mediating effect on person-job fit and rewards system. In order to induce innovation behavior, the managers of construction companies need to recognize the importance of psychological ownership and build a model of construction project organization activation through development of person-job fit and rewards program.

• The Journal of Korean Philosophical History
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• no.39
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• pp.115-142
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• 2013

The purpose of this study was to explore the changes of values in Korea focused on the period from liberation in 1945 to industrialization in the late 1970s. Those periods classified into 'Transitional Era' and 'Industrial Era' based on historical events significantly influenced the changes of value system of Korean people or Korean society. In this study, not only main values and right people for society but also the way of changing value system in those periods were suggested by investigating factors of politics, economy and society. The results are as follows : First, main values and right people for society on each period were as follows : In Transitional Era, main values were manners and social norms, and right people for this period were practical intellectuals pursuing the principle of action-oriented truth-and- knowledge-seeking. In Industrial Era, on the other hand, main values were sincerity, diligence, self-help and collaboration, and right people for this period were skilled man having occupational ability which was essential for economic development. Second, lasting value in Transitional Era and Industrial Era was patriotism. The patriotism in early Transitional Era was appealed to nation and people because of the collapse of ruling system and the absence of leaders, however, the patriotism changed to loyalty towards a national leader or seniors after the formation of new ruling system by building nation and electing a leader. On the other hand, the patriotism of Industrial Era was distinctly defined purpose for carrying out national economic policy and overwhelming Democratic People's Republic of Korea with anti-communist spirit and unification will.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.867-874
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• 2023

Recently, many problems are occurring in the bee ecosystem due to rapid climate change. The decline in the bee population and changes in the flowering period are having a huge impact on the harvest of bee-keepers. Since it is impossible to continuously observe the beehives in the hive with the naked eye, most people rely on knowledge based on experience about the state of the hive.Therefore, interest is focused on smart beekeeping incorporating IoT technology. In particular, with regard to swarming, which is one of the most important parts of beekeeping, we know empirically that the swarming time can be determined by the sound of the queen bee, but there is no way to systematically analyze this with data.You may think that it can be done by simply recording the sound of the queen bee and analyzing it, but it does not solve various problems such as various noise issues around the hive and the inability to continuously record.In this study, we developed a system that records queen bee sounds in a real-time cloud system and analyzes sound patterns.After receiving real-time analog sound from the hive through multiple channels and converting it to digital, a sound pattern that was continuously output in the queen bee sound frequency band was discovered. By accessing the cloud system, you can monitor sounds around the hive, temperature/humidity inside the hive, weight, and internal movement data.The system developed in this study made it possible to analyze the sound patterns of the queen bee and learn about the situation inside the hive. Through this, it will be possible to predict the swarming period of bees or provide information to control the swarming period.

• Journal of the Economic Geographical Society of Korea
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• v.26 no.3
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• pp.169-189
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• 2023

The study aims to synthesize the discussion of the innovation district and suggest an alternative to the governance system of the innovation district. Cluster policies that focus on industrial specialization, networking, value chains, and industrial ecosystems have shown some problems and limits in advanced industrial economies. The innovation district, suitable for the era of urban innovation, convergence of industry, housing, leisure, and related variety, emphasizes cooperation through the convergence of various innovations, workshops and industries, and communities. It is important to build a quintuple helix based on cooperative governance through public-private partnerships, integrate the physical and cultural atmosphere, and service industries that strengthen the place prestige. Beyond the industrial aspect, innovation districts can facilitate changes in urban amenities and lifestyles and creative atmosphere, such as diversity, lifestyle, charms, and openness, and promote social vitality and economic interactions. The governance of innovative districts can promote inter-organizational exchanges, and combinations. When knowledge is created through exchanges between companies, it also affects changes in the governance system, evolving from a rigid and centralized system to an open, dynamic, and organic system. Through the innovation policy, the existing Central Business Districts (CBD) can be able to be transformed into a Central Lifestyle Districts (CLD).

• 대한공업교육학회지
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• v.39 no.2
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• pp.81-100
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• 2014

This study developed training program to educate professional workers for software industry with growing importance in this area as software industry takes more parts in Korean economy. Additionally, this study developed the program based on national competency standards(NCS) using structured on the job training(S-OJT), For this study, we reviewed economic index about software industry such as economic ratio and the influx of the workforce. Also literature review for S-OJT was conducted to explore its concept for better application of the concept to the program development. In addition, this study used training program development manual suggested by Korean Department of Labor. We selected specific job which needs training program to be developed based on thorough needs analysis for a company A. Previously developed NCS and other documents were reviewed and focus group interviews were conducted to find out core knowledge and skills for the job. 44 training programs were developed and objective of each program, hours, contents and methods were also suggested. Additionally detailed program name, education system, road map and operation strategy were developed and suggested. The result of this study is expected to contribute to other industry and jobs which are facing to the development of NCS based education program by suggesting detailed stage of development process. For more animated development of education program using NCS, the effect of the program should be tested in the future. For the test, appropriate evaluation methods and measures should be developed as well.

• Journal of the Korea Society for Simulation
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• v.20 no.1
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• pp.69-77
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• 2011

Modeling and Simulation(M&S) technology gets an attention from various parts such as industry and military. Especially, military uses the technology to cope with a different situation from the one in the Cold War and maximize the effect of training against the cost in the new environment. In order for the training based on M&S technology to be effective, the situations of a battlefield and a combat must be more realistically simulated. For this, a technique development on Computer-Generated Forces(CGF) which represents a unit's simulation logic and a human's simulated behaviors is focused. The CGF simulating a human's behaviors can be used in representing an enemy force, experimenting behaviors in a future war, and developing a new combat idea. This paper describes a methodology to accomplish Computer-Generated Forces' autonomous intelligence. It explains the process of applying a task behavior list based on the METT+T element onto CGFs. On the other hand, in the domain knowledge of military field manual, fuzzy facts such as "fast" and "sufficient" whose real values should be decided by domain experts can be easily found. In order to efficiently implement military simulation logics involved with such subjectivity, using a fuzzy inference methodology can be effective. In this study, a fuzzy inference methodology is also applied.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.8
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• pp.571-578
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• 2013

The IHO S-100 is a standard on the universal hydorgraphic data model for supporting information services that integrate various data in maritime and provide proper information for safety of vessels. The S-100 is used to develop S-10x product specifications which are standards on guideline for creation and delivery of specific data set in maritime. The product specification for feature-based data such as ENC(Electronic Navigational Chart) data includes a feature catalogue that describes characteristics of features in that feature-based data. The feature catalogue is developed by domain experts with knowledge on data of the target domain. However, it is not feasible to develop a feature catalogue according to the XML schema by manual. In the IHO TSMAD committee meeting, needs of developing technology on building feature catalogue has been discussed. Therefore, we present a feature catalogue builder that is a GUI(Graphic User Interface) system supporting domain experts to build feature catalogues in XML. The feature catalogue builder is developed to connect with the FCD(Feature Concept Dictionary) register in the IHO(International Hydrographic Organization) GI(Geographic Information) registry. Also, it supports domain experts to select proper feature items based on the relationships between register items.