• The Journal of the Korea Contents Association
• /
• v.12 no.8
• /
• pp.1-12
• /
• 2012

We develop the Spatio-Temporal Graph to imbue the historical context to the situations in a virtual world, and an ontology to enable a structural description of their elements such as the objects, relationships, and activities. In the time dimension the graph models all the temporal phases of the future besides the past and present in a comprehensive manner, and all the spatial aspects in an intuitive but efficient fashion. The overall architecture composing the Physical Layer, Logical Layer and Conceptual Layer which are integrated according to their interrelations allows events occurring in their corresponding worlds to be simulated in historical context. The S-T Graph could be used both to simulate the situations in the virtual world and to realize the knowledge systems of the virtual inhabitants to be used in judging and evaluating those situations. By adding temporal changes to the multi-layered architecture of our virtual world, this model lays a foundation for maximizing the diversity of situations in the simulation of a virtual world.

• Journal of the Society of Disaster Information
• /
• v.15 no.1
• /
• pp.121-132
• /
• 2019

Purpose: This study aims to analyze the meaning of architectural space of Alvar Aalto, which is based on architectural theories of periodic flows and the form of the space with the various elements applied to the works. Method: It analyzes the interrelationships of light, form and material in triangular composition by synthesizing the architectural vocabulary of Alvar Aalto from the viewpoint of modernism. Results: The architectural works of Alvar Aalto are centered on the combination of light, form, material, and space diversity, emphasizing social awareness and linking the human scale with the building environment. Conclusion: The structure of the Alvar Aalto is a synonym of nature and culture, society and individuals, standardization and diversity, universality and locality, intellectual and emotional, scientific and human psychological. It is possible to apply reciprocity elements to architectural spaces in a comprehensive manner while being different from each other in terms of rationality and immediacy.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 1999.03a
• /
• pp.201-201
• /
• 1999

감성(sensitibility)은 반사적이며 직관적으로 발생하고, 인위적인 조정이 불가능하며 명확한 표현이 어렵고 모호하다고 한다. 또 감정(emotion)이 주어진 대상에 따라 동일한 반응을 보이는 공통성을 갖지만, 감성은 동일한 대상에도 개인에 따라 다양한 반응을 보이며, 시간과 환경에 따라 변한다고 본다. 이는 반응 형성의 두 가지 요소인 외부의 자극이나 대상과 반응하는 주체의 양자에서, 감정이 감성에 비해 외부의 자극이나 대상의 영향을 더 받고, 감성은 상대적으로 외부 상황보다는 반응 주체의 다양한 내부 상황에 따라 결정된다는 것을 의미할 수 있다. 이러한 감성의 특징들은 Freud가 말한 무의식의 특징과 비슷한 점이 많다. 따라서 무의식의 작용양상을 살펴보는 것이 감성의 연구에 도움이 될 수 있다고 생각한다. 무의식이란 우리의 마음에 항상 작용하고 있지만, 일상적인 상태에서는 분명하게 알아 볼수가 없고 확실하게 드러나지도 않는 어떤 힘을 말한다. 이는 개인의 다양한 과거 경험이 포함되어 있어서 사람에 따라 각기 다르게 나타나게 된다. 우리가 항상 경험하고 있는 의식은 확실하게 서로 구분되는 대상과 확인율(the principle of identity), 구분논리(bivalent logic), 모순율(the principle of formal contradiction), 상반율(the principle of incompatibility), 가감율(the operation of substraction)을 수용하여 작용한다. 무의식은 의식활동의 이러한 명료함과 정연함을 벗어나 활동한다. 대상간의 구분이 모호해지고 정연한 논리가 흐트러진다. 일상에서는 꿈의 내용과 어린이의 생각, 감정에 치우칠 때 무의식의 특징이 나타난다. Freud는 꿈을 관찰하여 무의식의 작용양상을 다음과 같이 설명하였다. 서로 상반되는 것들이 다음과 같이 설명하였다. 서로 상반되는 것들이 부딛힘이 없이 공존하고 일상의 논리가 무시된다. 부정, 의심이 없고 확실한 것이 없다. 한 대상에 가졌던 생각이 다른 대상에 옮겨간다(displacement). 한 대상이 여러 대상이 갖고 있는 의미를 함축하고 있다(condensation). 시각적인 순서가 무시된다. 마음속의 생각과 외부의 실제적인 일을 구분하지 못한다. 시간 상의 순서가 있다가 없다가 한다. 차례로 일어나야 할 일이 동시에 한꺼번에 일어난다. 대상들이 서로 비슷해지고 동시에 있을 수 없는 대상들이 함께 나타난다. 사고의 정상적인 구조가 와해된다. Matte-Blance는 무의식에서는 여러 독립된 대상들간의 구분을 없애며, 주체와 객체를 하나로 보려는 대칭화(symmetrization)의 경향이 있기 때문에 이런 변화가 생긴다고 하였다. 또 대칭화가 진행되면 무한대의 느낌을 갖게 되어, 전지(moniscience), 전능(omnipotence), 무력감(impotence), 이상화(idealization)가 나타난다. 그러나 무의식에 대칭화만 있는 것은 아니며, 의식의 사고양식인 비대칭도 어느 정도 나타나며, 대칭화의 정도에 따라, 대상들이 잘 구분되어 있는 단계, 의식수준의 감정단계, 집단 내에서의 대칭화 단계, 집단간에서의 대칭화 단계, 구분이 없어지는 단계로 구분하였다.

• Journal of Gifted/Talented Education
• /
• v.18 no.2
• /
• pp.293-311
• /
• 2008

This study was designed to examine how parents personality type and rearing attitude are different between parents of normal children and those of gifted children. For the study, MBTI test 3nd personality type test were carried out towards 186 elementary schoolers' mothers. The collected data was analyzed by SPSS WIN 10.0 with the significance level 0.5. The results are as follows. First, the mothers of gifted children had in trovert personality more than those of normal children. The mothers of normal children, on the other hand, showed more extrovert personality than those of gifted children. In addition, comparing to the mothers of normal children, the mothers of gifted children showed intuition type and judging type. However, the mothers of normal children had more perceiving one. Second, the mothers of gifted children showed more acceptive and self-regulating attitude than those of normal children. On the contrary, the mothers of normal children showed more rejecting and controlling attitude.

• Journal of the Korea Convergence Society
• /
• v.9 no.7
• /
• pp.163-175
• /
• 2018

The age of the $4^{th}$ Industrial revolution characterized with artificial intelligence leads to increased interest in emotional aspects representing humanity as counterpart competence to the digital literacy, As the educational model to foster emotional intelligence, noticed is 'maker education based on design thinking process,' since it cultivates the spirits of empathy, intuitive thinking, collaboration, communication, sharing, and openness. In this context, this study aimed to examine relationship between the educational model and emotional intelligence. For this purpose, a case study has been conducted with 37 undergraduate students in an University general education class, and the results of data collection and analysis confirmed positive influences of the program in enhancing most components of the emotional intelligence.

• Korean Journal of Construction Engineering and Management
• /
• v.16 no.3
• /
• pp.3-10
• /
• 2015

Value engineering (VE) of the construction project is classified into design phase value engineering and construction phase value engineering. Design phase value engineering must apply to over 10 billion public construction projects by government law. Therefore, the design value engineering apply to actively in construction projects. In contrast, the construction value engineering apply to a limited certain construction project. The reason is that construction value engineering process can not reflect practical demands quality. The construction value engineering can implement to positive impact through the feasibility verification for constructability. In this research, we propose a method of construction value engineering that reflect the practical demands. This method is experts alternative evaluation of using by GFI-based. And, this study was applied to the practical cases to verify the applicability of the proposed method. As a result, proposed alternative evaluation method were analyzed highly efficient in terms of applying the process as well as the method compare to the conventional method.

• 기호학연구
• /
• no.56
• /
• pp.7-44
• /
• 2018

The objective of this paper is to propose a classification of Korean taste terms, especially Korean taste adjectives, from the perspective of cognitive science. The classification of Korean taste terms is here grounded in the definition of 'taste sense', 'flavor' and 'taste' which is usually employed in disciplines of cognitive science. There have been a large number of domestic researches in field of taste terms. Accordingly, a lot of research findings on the classification of taste terms have steadily been released showing the differences among researchers. These different classifications are largely based on the fact that researchers have applied their subjective criteria rather than their objective in order to categorize taste terms. According to previous studies, it is well-known that, in everyday usage, the term 'taste' covers a much wider range of qualities than those perceived through the taste receptor cells alone. In addition, we take it for granted that as much as 80~90% of taste comes from olfactory modality. It is also important to note that the texture and temperature of food, the color of food, the sounds of food, and atmospheric cues have an essential effect on taste perception. Many scientists have already pointed out that taste evaluations are influenced by a number of individual and sociocultural factors. Eating and tasting are important parts of our everyday life, so that linguistic approaches to taste perception seem to be of great significance. We can assume that a classification of taste terms from the perspective of cognitive sciences may shed light on the perceptive mechanism through which we perceive taste. It should be noted that this paper is an advanced work prepared for the follow-up study which will try to make a geometric model of word field 'taste terms' existing or probably existing in the mental lexicon of human beings.

• Journal of Korea Society of Industrial Information Systems
• /
• v.15 no.2
• /
• pp.127-137
• /
• 2010

A Widget platform is acknowledged to be a next generation intelligent platform that is well suited to Web 2.0 and mobile convergence environments. With prospects of growth, examining users' perceptions of current widgets can be a valuable source of information in setting directions for Widget's future development. This study identifies user interface factors that affect widget usability and investigates a strategic approach to promoting the use of widgets by analyzing user's "intention to use" in connection with the identified interface factors. The experimental results show the consistency, intuition, minimal action, and personalization have a positive(+) effect on perceived ease of use and that personalization and design have a causal effect on perceived enjoyment. Inaddition, perceived ease of use has an influence on perceived enjoyment that, inturn, has a direct influence on intention to use. On the other hand, the hypothesis that perceived ease of use has a direct effect on intention to use was rejected.

• Journal of Intelligence and Information Systems
• /
• v.28 no.1
• /
• pp.131-154
• /
• 2022

Recently, researches on unstructured data analysis have been actively conducted with the development of information and communication technology. In particular, topic modeling is a representative technique for discovering core topics from massive text data. In the early stages of topic modeling, most studies focused only on topic discovery. As the topic modeling field matured, studies on the change of the topic according to the change of time began to be carried out. Accordingly, interest in dynamic topic modeling that handle changes in keywords constituting the topic is also increasing. Dynamic topic modeling identifies major topics from the data of the initial period and manages the change and flow of topics in a way that utilizes topic information of the previous period to derive further topics in subsequent periods. However, it is very difficult to understand and interpret the results of dynamic topic modeling. The results of traditional dynamic topic modeling simply reveal changes in keywords and their rankings. However, this information is insufficient to represent how the meaning of the topic has changed. Therefore, in this study, we propose a method to visualize topics by period by reflecting the meaning of keywords in each topic. In addition, we propose a method that can intuitively interpret changes in topics and relationships between or among topics. The detailed method of visualizing topics by period is as follows. In the first step, dynamic topic modeling is implemented to derive the top keywords of each period and their weight from text data. In the second step, we derive vectors of top keywords of each topic from the pre-trained word embedding model. Then, we perform dimension reduction for the extracted vectors. Then, we formulate a semantic vector of each topic by calculating weight sum of keywords in each vector using topic weight of each keyword. In the third step, we visualize the semantic vector of each topic using matplotlib, and analyze the relationship between or among the topics based on the visualized result. The change of topic can be interpreted in the following manners. From the result of dynamic topic modeling, we identify rising top 5 keywords and descending top 5 keywords for each period to show the change of the topic. Existing many topic visualization studies usually visualize keywords of each topic, but our approach proposed in this study differs from previous studies in that it attempts to visualize each topic itself. To evaluate the practical applicability of the proposed methodology, we performed an experiment on 1,847 abstracts of artificial intelligence-related papers. The experiment was performed by dividing abstracts of artificial intelligence-related papers into three periods (2016-2017, 2018-2019, 2020-2021). We selected seven topics based on the consistency score, and utilized the pre-trained word embedding model of Word2vec trained with 'Wikipedia', an Internet encyclopedia. Based on the proposed methodology, we generated a semantic vector for each topic. Through this, by reflecting the meaning of keywords, we visualized and interpreted the themes by period. Through these experiments, we confirmed that the rising and descending of the topic weight of a keyword can be usefully used to interpret the semantic change of the corresponding topic and to grasp the relationship among topics. In this study, to overcome the limitations of dynamic topic modeling results, we used word embedding and dimension reduction techniques to visualize topics by era. The results of this study are meaningful in that they broadened the scope of topic understanding through the visualization of dynamic topic modeling results. In addition, the academic contribution can be acknowledged in that it laid the foundation for follow-up studies using various word embeddings and dimensionality reduction techniques to improve the performance of the proposed methodology.

• Smart Media Journal
• /
• v.12 no.6
• /
• pp.15-26
• /
• 2023

As face-to-face communication has become difficult due to the COVID-19 pandemic, studies have been conducted to understand the impact of non-face-to-face communication, but there is a lack of research that examines this through messenger application reviews. This study aims to identify the impact of the pandemic through Latent Dirichlet Allocation (LDA) topic modeling by collecting review data of 메신저 applications in the Google Play Store and suggest service strategies accordingly. The study categorized the data based on when the pandemic started and the ratings given by users. The analysis showed that messenger is mainly used by middle-aged and older people, and that family communication increased after the pandemic. Users expressed frustration with the application's updates and found it difficult to adapt to the changes. This calls for a development approach that adjusts the frequency of updates and actively listens to user feedback. Also, providing an intuitive and simple user interface (UI) is expected to improve user satisfaction.