• Journal of Engineering Education Research
• /
• v.11 no.4
• /
• pp.5-10
• /
• 2008

Conventional engineering education models have fallen to give satisfactory results to enterprises. So this paper deals with the new engineering education system, Engineering House, to overcome it. EH is made of three spaces and three concepts. Concept means system. Three concepts are things about a education program, a research cooperation, a open-door policy of EH facilities. First of all, Education system for undergraduates is most important of all. We intend to give them chances for real engineering experiences. Specialist from companies are participated in the education. The second is a research network. EH is managed by two or three professors together and their researches are carry out with companies's researcher. Key-point is doing all together. The third is service system for regional enterprises. EH's facilities are opened. Our students and professors are supporting directly. Mainly high price measuring machine is used. Like these, networks with companies are very helpable for undergraduate's educations and job connections. These are the work based learning system. Engineering House system look forward to getting to good program for undergraduate, based on the co-operation between university and enterprises.

• Journal of the Korean Geographical Society
• /
• v.48 no.5
• /
• pp.629-650
• /
• 2013

This study reviews geographical research trends on 'New industrial agglomeration' in Korea and recommends research issues for further studies. Recent studies on industrial agglomeration region have typically concentrated on empirical case studies from new 'perspectives'. As a result, the establishment and theorizing of frameworks for analysis on industrial agglomeration have been given too little attention. To solve this problem research should be conducted to develop frameworks for analysis integrating noneconomic factors and existing economic factors, a strategy emphasized in new industrial agglomeration theory. By doing so, research investigating viability mechanism and generalization will be invigorated. Meanwhile, research focused excessively on social and cultural conditions of region-related networks between actors in economic space at specific scales should be excluded. In addition, academic research on vitalizing industrial agglomeration region, such as cluster policy, should be strengthened. In order to conduct these research objectives effectively, it is necessary to vitalize overall understanding among researchers of industrial agglomeration and provide a place for collaborative learning.

• Child Health Nursing Research
• /
• v.12 no.3
• /
• pp.405-416
• /
• 2006

Purpose: The purpose of this study was to explore health behavior and perception of therapeutic restrictions in chronically ill children and their parents in Korea. Method: Nine children with chronic disease and of six of their parents were interviewed using semi-structured a questionnaire. The data were analyzed using explorative content analysis. Results: Health behaviors related to therapeutic restrictions was classified into four domains, and the perceptions of therapeutic restrictions into two domains. The domains regarding compliance in health behavior with therapeutic restrictions included control-centered restrictions (maintaining food limitations, avoiding harmful environments, restriction on physical activity, restriction on social activity, restriction on learning activity), and everyday pursuit of balance(preference for healthy diet, maintaining a regular life style, maintaining a standard body weight, pursuing psychological well-being, family participation). Domains regarding perception of therapeutic restrictions included obstacles to growth and development (bridled life, opportunity deprivation, prevented from playing proper role), origin of conflict (tenacity, conflict, stressor, cover-up), task for normal life (doing proper duty), and everyday affairs (becoming ordinary, familiarity). Conclusion: This study will help to enhance understanding the behavior and perception of therapeutic restrictions by chronically ill children and their families and to establish educational programs and counseling for these children and their families.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.13 no.10
• /
• pp.2180-2188
• /
• 2009

This paper is study on real-time hand gesture recognition system based on vision for intelligent robot control. We are proposed a recognition system using PCA and BP algorithm. Recognition of hand gestures consists of two steps which are preprocessing step using PCA algorithm and classification step using BP algorithm. The PCA algorithm is a technique used to reduce multidimensional data sets to lower dimensions for effective analysis. In our simulation, the PCA is applied to calculate feature projection vectors for the image of a given hand. The BP algorithm is capable of doing parallel distributed processing and expedite processing since it take parallel structure. The BP algorithm recognized in real time hand gestures by self learning of trained eigen hand gesture. The proposed PCA and BP algorithm show improvement on the recognition compared to PCA algorithm.

• Journal of English Language & Literature
• /
• v.54 no.4
• /
• pp.483-509
• /
• 2008

For the last decades, criticism on Frankenstein has tried to make a link between Victor's Creature and Rousseaurean "man in a state of nature." Like the Rousseaurean savage in a state of animal, the monster has only basic instincts least needed for his survival, i.e. self-preservation, but turns into a civilized man after learning language. Most critics argue that, despite the monster's acquisition of language, his failure in entry into a cultural and linguistic community is the outcome of a lack of sympathy for him by others, which displays the stark existence of epistemological barriers between them. That is to say, the monster imagines his being the same as others in the pre-linguistic stage but, in the linguistic stage, he realizes that he is different from others. Interpreting the Rousseaurean idea of language, which appears in his writings, as much more focused on emotion than many critics think, I read the dispute between Victor and his Creature as a variation of parent-offspring conflict. Shelley criticizes Rousseau's parental negligence in putting his children into a foundling hospital and leaving them dying there. The monster's revenge on uncaring Victor parallels the likely retaliation Rousseau's displaced children would perform against Rousseau, which Shelley imaginatively reproduces in her novel. The conflict between the monster and Victor is due to a disrupted attachment between parent and child in terms of Darwinian developmental psychology. Affective asynchrony between parent and child, which refers to a state of lack of mutual favorable feelings, accounts for numerous dysfunctional families. This paper shifts a focus from a semiotics-oriented perspective on the monster's social isolation to a Darwinian perspective, drawing attention to emotional problems transpiring in familial interactions. In doing so, it finds that language is a means of communicating one's internal emotions to others along with other means such as facial expressions and body movements. It also demonstrates that how to promote emotional well-being in either familial or social relationships entirely depends on the way in which one employs language that can entail either pleasure or anger on hearers' part.

• Journal of The Korean Society of Integrative Medicine
• /
• v.10 no.1
• /
• pp.39-48
• /
• 2022

Purpose : This study aimed to determine the experiences of the disaster response team 9 participants who participated in the disaster after the fire incident occurred in Jecheon Sports Center and their meaning and essence. Methods : Nine disaster response teams were the subjects of the study, and Individual in-depth interviews were conducted. Data were collected online between January 6 and April 30, 2021, from the software Zoom^TM. This study was conducted as a qualitative study by applying Giorgi's phenomenological experiential research method, which has an advantage in revealing the essential structure and meaning of experience. Results : Three major themes were derived from the study results: the stimulus through unfamiliar experiences, the grievances due to work environment and regional characteristics, and dullness resulting from hiding and enduring. The following 17 sub-themes were identified: learning through unfamiliar experiences, frustration due to unexpected circumstances, shock from unfamiliar experiences, doing my best in the present, confidence due to increased experience, disunified system, intervention of various interests, the atmosphere that puts responsibility on others, inactive help, unforgettable regional characteristics, working without time to settle, tolerating it in my own way, memories left in the unconsciousness, sudden suffering from memories that come to mind, movement in anxiety and tension, dullness, work with colleagues in the same situation. Conclusion : This study is meaningful in that it attempted to provide basic data in preparing a long-term strategy for effective policy direction and institutional protection based on the systematic mental health management of the disaster response team. Additionally, this study's results can be used as primary data for future research among Disaster Response Team.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.4
• /
• pp.309-314
• /
• 2023

This study examines the development and limitations of current artificial intelligence (AI) music composition programs. AI music composition programs have progressed significantly owing to deep learning technology. However, they possess limitations pertaining to the creative aspects of music. In this study, we collect, compare, and analyze information on existing AI-based music composition programs and explore their technical orientation, musical concept, and drawbacks to delineate future directions for AI music composition programs. Furthermore, this study emphasizes the importance of developing AI music composition programs that create "personalized" music, aligning with the era of personalization. Ultimately, for AI-based composition programs, it is critical to extensively research how music, as an output, can touch the listeners and implement appropriate changes. By doing so, AI-based music composition programs are expected to form a new structure in and advance the music industry.

• Journal of The Korean Association For Science Education
• /
• v.40 no.2
• /
• pp.141-150
• /
• 2020

The purpose of this study is to critically review the skill-based approach to scientific inquiry in science education and to explore the meaning of science practices that are emphasized in recent science education reform movement. An extensive review of relevant literature was carried out, and the results were summarized according to the detailed themes of the study. In the skill-based approach of which Science-A Process Approach (SAPA) is a representative example, science process skills were presented as hierarchically connected with one another, they were believed to be transferable or generalizable, and science learning through discovery was stressed. These points of view are, however, contradicted with those of the modern philosophy of science which suggests the theory-laden nature of using the skills. The skill-based view has also been criticized by the fact that the use of inquiry skills is content-specific or context-dependent and that science theories or principles cannot be discovered by induction. In contrast, the recent view understands science practices holistically, emphasizes the diverse ways of doing the practices which vary with different contents or contexts, and considers student ideas importantly in the science classroom. The findings of this study can contribute to the development of a new science curriculum by providing implications for establishing a consistent view on scientific inquiry.

• Economic and Environmental Geology
• /
• v.45 no.2
• /
• pp.169-180
• /
• 2012

The ESBs (Environmental Specimen Banks) have monitoring functions for the contemporary environmental qualities and also offer the future generation tangible information on the past environment by preserving the specimens. This entails the sampling of the representative specimen for each distinctive ecosystem, which is performed under a strict and stipulated procedure and a condition that does not allow any change in the component so that a retrospective analysis can be readily done even in the distant future. It has been more than 30 years that some developing countries started collecting a broad spectrum of specimens to vindicate the effectiveness of an environmental policy and to monitor the long-term variations of background concentrations of environmental pollutants. Though being late, the National Institute of Environmental Research (NIER), Korea, has successfully launched the National Environmental Specimen Bank (NESB) in 2009 equipped with its state-of-the-art automated cryogenic tanks. Since then, the researchers at the NESB have been doing their best to excel the existing ESBs around the world by learning and improving the expertise. To do so, they conducted a pilot study for developing and testing their own Standard Operating Procedure (SOP) based on the analysis of the examples of the other ESBs. The problems from the pilot study had been reviewed to improve the SOP to meet the requirements for an ESB, that is to say, preserving representative environmental specimens in cryogenic condition and enhancing the analytical method. Furthermore, they also need to prepare themselves to address the future challenges by providing some additional functions, which makes it distinguishable from the other ESBs. If successful, this will be a step further to be recognized as a full-fledged member of the ESB society of the world.

• Journal of KIISE:Software and Applications
• /
• v.26 no.11
• /
• pp.1372-1380
• /
• 1999

본 논문에서는 자연언어 문장의 객관적 정량적인 질 측정 방법의 구축에 대해 설명하고, 이를 문장 퇴고 시스템의 사례에 적용해 본다. 문장의 질을 평가한다는 것은 본질적으로 주관적이고 정량화가 어려운 작업이기 때문에, 이 과정에서 질의 객관적 계량화가 가능한지 여부가 가장 중요한 문제가 된다. 이 논문에서는 이러한 문제를 해결하기 위해 유전자 알고리즘을 이용한 진화적 접근 방법을 통해 객관적이고 정량적인 질의 측정 공식을 유도하는 방법론을 제시하였다. 이 논문에서 제시한 방법론의 핵심은 간단히 말해서 사람이 행하는 정성적인 판단을, 이에 가장 근접하는 정량적 측정 체계로 전환시키는 것이라고 보면 된다. 이것을 위해 정량화 문제를 문장의 단순 언어 특징들의 변화값을 이용한 최적화 문제로 환원시키고, 다시 이 최적화 문제를 유전자 알고리즘을 이용해 해결함으로써 문제를 효과적으로 해결할 수 있었다. 실험 결과를 보면, 본 논문에서 제시한 최적화 방법은 주어진 훈련용 예제와 검증용 예제 중 각각 99.84%, 99.88%를 만족시키는 해를 찾아내었으므로 정량적 질 평가 공식의 유도에 매우 효과적임을 알 수 있었다. 또한 도출된 측정 공식을 이용해서 실제 퇴고 시스템 평가에 적용한 결과 문장 질의 측정에 매우 유용하게 이용될 수 있음을 알 수 있었다. 이와 같이 질의 정량적 평가가 가능하다는 사실이 갖는 또 한가지 중요한 의미는 최종 사용자의 구매 의사나 개발자의 공학적 의사 결정을 위한 객관적 성능 평가 자료의 제공에 이 방법이 유용하게 사용될 수 있다는 점이다.Abstract This paper describes a method of building a quantitative measure of the quality of natural language sentences, particularly produced by document revision systems. Evaluating the quality of natural language sentences is intrinsically subjective, so what is most important as to the evaluation is whether the quality can be measured objectively. To solve such problem of objective measurability, genetic algorithm, an evolutionary learning method, is employed in this paper. The underlying standpoint of this approach is that building the quality measures is a task of constructing a formulae that produces as close results as can to the qualitative decisions made by humans. For doing this, the problem of measurability has been simply reduced to an optimization problem using the change of the values of simple linguistic parameters found in sentences, and the reduced problem has been solved effectively by the genetic algorithm. Experimental result shows that the optimization task satisfied 99.84% and 99.88% of the given objectives for training and validation samples, respectively, which means the method is quite effective in constructing the quantitative measure of the quality of natural language sentences. The actual evaluation result of a revision system shows that the measure is useful to quantize the quality of sentences. Another important contribution of this measure would be to provide an objective performance evaluation data of natural language systems on a basis of which end-users and developers can make their decision to fit their own needs.