• Journal of The Korean Association of Information Education
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• v.11 no.3
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• pp.281-288
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• 2007

Collaborative filtering is a method to predict preference items of a user based on the evaluations of items provided by others with similar preferences. Collaborative filtering helps general people make smart decisions in today's information society where information can be easily accumulated and analyzed. We designed, implemented, and evaluated a course recommendation system experimentally. This system can help university students choose courses they prefer to. Firstly, the system needs to collect the course preferences from students and store in a database. Users showing similar preference patterns are considered into similar groups. We use Pearson correlation as a similarity measure. We select K-nearest students to predict the unknown preferences of the student and provide a ranked list of courses based on the course preferences of K-nearest students. We evaluated the accuracy of the recommendation by computing the mean absolute errors of predictions using a survey on the course preferences of students.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.147-157
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• 2017

In recent years, Super-pixels have become very popular for use in computer vision applications. Super-pixel algorithm transforms pixels into perceptually feasible regions to reduce stiff features of grid pixel. In particular, super-pixels are useful to depth estimation, skeleton works, body labeling, and feature localization, etc. But, it is not easy to generate a good super-pixel partition for doing these tasks. Especially, super-pixels do not satisfy more meaningful features in view of the gestalt aspects such as non-sum, continuation, closure, perceptual constancy. In this paper, we suggest an advanced algorithm which combines simple linear iterative clustering with fuzzy clustering concepts. Simple linear iterative clustering technique has high adherence to image boundaries, speed, memory efficient than conventional methods. But, it does not suggest good compact and regular property to the super-pixel shapes in context of gestalt aspects. Fuzzy similarity measures provide a reasonable graph in view of bounded size and few neighbors. Thus, more compact and regular pixels are obtained, and can extract locally relevant features. Simulation shows that fuzzy similarity based super-pixel building represents natural features as the manner in which humans decompose images.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.1B
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• pp.106-116
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• 2010

Sensor deployment makes an effect on not only covering of the interesting area but also reliable data acquisition and efficient resource management of sensor, so that sensors must be deployed at their better place. In traditional static wireless sensor networks, however, it is impossible to deploy the sensors manually when they are distributed in unexploited, hostile, or disaster areas. Therefore, if each sensor has locomotion capability, it can re-deploy itself using the location information of neighbor sensors. In our previous study, we showed that moving sensors to the centroids of their Voronoi polygon is efficient for extending the coverage area. In this paper, we present an improved potential-field-based sensor self-deployment scheme by combining the centroid of Voronoi polygon with the traditional potential-field scheme. Simulation results show that our scheme can achieve higher coverage in shorter time and less movement than the traditional potential-field scheme.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.10
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• pp.1435-1440
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• 2021

With the advent of the low interest rate era, many investors are flocking to the stock market. In the past stock market, people invested in stocks labor-intensively through company analysis and their own investment techniques. However, in recent years, stock investment using artificial intelligence and data has been widely used. The success rate of stock prediction through artificial intelligence is currently not high, so various artificial intelligence models are trying to increase the stock prediction rate. In this study, we will look at various artificial intelligence models and examine the pros and cons and prediction rates between each model. This study investigated as stock prediction programs using artificial intelligence artificial neural network (ANN), deep learning or hierarchical learning (DNN), k-nearest neighbor algorithm(k-NN), convolutional neural network (CNN), recurrent neural network (RNN), and LSTMs.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.225-230
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• 2021

As the quality of our life has improved, residential complexes have become more diverse now. Modern residential complexes function as a place for meeting and communication between families and neighbors, including parks, lakes, and promenades, and exhibiting sculptures in residential spaces has become an important component. This study was conducted for the purpose of researching the design development method for the sculptures displayed in the residential space in accordance with these changes and demands of the era. Through the process of visualizing the figurative arts with metal and stone used as materials, the artist's thoughts and messages were put in the sculpture and the arts were completed as the shape of the sculpture that viewers could sympathize with. This design and formative research shows the possibility that various visual elements for sympathy with the creator's thoughts can be formed in a place with the specificity of living space by using a figurative visualization method. Therefore, further researches on figurative art of sculptures are required.

• KOMUNHWA
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• no.68
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• pp.25-39
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• 2006

This article attempts to define identity, role and functions of a university museum and to suggest specialization of the university museum in the perspective of culture, arts, and science. A university museum is defined as a center for the service of the university community and its development which acquires, researches, communicates, exhibits and educates, for purposes of eduinfotainment,29 material evidence of people and their environment. The target user of the today's university museum are not only professors, students, university workers, but also university neighbourhood such as the related professionals, patrons, parents, school children and villagers. A multi-dimensional and multi-purpose university museum can be established and managed in a real world and / or a cyber world in the perspective of culture, arts, and science. Based on a ubiquitous system30 in a cyber world vis-a-vie a real world, the university museum can be easily utilized by users anywhere, anytime and any device. In order to specialize the university museum in the perspective of culture, arts and science, it is desirable that the university museum director with the CEO of the university community promote the specialization of the university museum based on philosophy and strategies of university community management after they definitely evaluate the components and resources of the university museum such as human powers, museum collections, organizational, technological, capital, spacial and symbolic resources, The specialization of the university museum should be projected and executed in the direction of maintaining the typical scope of museum activities and managing the effective museum management. Specializing the university museum in the perspective of culture, arts, and science can contribute not only to establish the identity of the university community and to perform role and functions of the university museum but also to encourage academic development, to revaluate the brand of the university community and to promote the marketing for the university.

• The Journal of the Korea Contents Association
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• v.15 no.3
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• pp.114-122
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• 2015

This study aims to analyze the satisfaction of seniors living in Cheonan City downtown as to their residential environment. Also, this study intends to identify which factors should be improved first to make downtown a favorable residential area. To that end, 'social indicators of Chungnam' was used. The collected data was analyzed through a statistical analysis method using ANOVA (analysis of variance) and a cluster analysis. It led to the following findings. First, 6.9% of the elderly residents expressed their wish to move from their downtown residence. Thus, the majority of the residents do not want to move. Second, the satisfaction of the elderly residents in their downtown residence scored 6.09. The score is higher than those of other regions. Thus, it is highly possible to develop downtown into a senior-friendly area. Third, as for satisfaction in downtown residence, it was higher among the following groups: men; those with high school or higher level of education; those earning at least a million won a month; family of one generation. Fourth, satisfaction in the following factors was relatively low: culture and education; interaction with neighbors and trust in them; car accidents. Thus, those factors should be improved for downtown residents. Above all, community-faced facilities should be expanded to increase exchanges with neighbors and trust in them. To attract women dissatisfied with downtown residence. it is imperative to increase daily safety by reducing car accidents and crime.

• Journal of Science and Technology Studies
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• v.14 no.2
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• pp.127-164
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• 2014

This essay examines the motivations, goals, and assumptions of those who are participating in the appropriate technology movement in contemporary South Korea. In addition to analyzing books, articles, presentation materials, and media reports written by or about the "appropriate technologists," I have interviewed a few of them to hear their thoughts on appropriate technologies as well as inappropriate technologies. They choose to work on appropriate technology out of their good will for people in need, their Christian faith, and their pride in Korea's rapid and successful development. As a result, the appropriate technology movement in Korea does not engage in a critical evaluation of current sociotechnical systems, but instead takes an ethical and paternalistic stance in accepting and improving the given situation. Its apolitical character is effective in drawing a large number of participants, but it also limits their imagination and the movement's potential influence. Moreover, the movement's focus on "the other 90%" leads the participants to frame appropriate technology as something for "them" or "locals" rather than as something for "all of us." This essay concludes by suggesting that the appropriate technology movement in Korea should expand its scope from an ethical pursuit of technology to a political engagement with technology.

• Sim-seong Yeon-gu
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• v.34 no.1
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• pp.39-76
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• 2019

This article is about the film titled <The Man Who Invented Christmas> written from the perspective of analytical psychology. The film shows the changes in Charles Dickens while he wrote the book 『A Christmas Carol』. 『A Christmas Carol』 was published when the Christmas traditions were almost forgotten. The book enlightened the value of love-thy-neighbor and revived the tradition of having Christmas meals with family. The article illustrates the process of recognizing shadow while a man overcomes the life crisis of losing his persona. Referring to the biography of Charles Dickens and the historical background of his time, the article explores how the collective issues of capitalism influence his personal life. Christmas is a timeless symbol of death and rebirth then becomes a solace for those who suffer from capitalism.

• Korean Journal of Culture and Social Issue
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• v.12 no.3
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• pp.85-127
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• 2006

This study examines the formation and change of relational trust among Korean adolescents using indigenous psychological perspective. Among adolescents, we examine the basis of trust of their parents, friends and teacher and also their trust in people and institutions. A total of 968 adolescents (227 elementary, 284 middle school, 213 high school, and 244 university students) completed a questionnaire that contains the Relational Trust Scale developed by Kim and Park (2004a), Generalized Trust Scale developed by Yamagishi (1998) and a scale measuring trust of people and institutions (Kim, Helgesen & Ahn, 2002). The results are as follows. First, adolescents trust their parents due to their sacrifice, followed by their counsel and advice, dependability, consanguinity and respects. They trust their teachers due to their counsel and advice, followed by respect, sacrifice, and mutual trust. They trust their friends due to their advice, followed by empathy, mutual trust, dependability, friendship and sacrifice. Second, trust of their parents are highest among the elementary school students and lowest for the middle school students and lower for older age groups. The trust in teachers are highest among the elementary school students and lowest among the middle school and university students. In contrast, trust in friends increase from elementary school students to older age groups. Third, among trust in people and institutions, they are highest for parents and family and lowest for politicians and political parties. Except for trust in friends, trust of significant others and institutions (family, teachers, neighbors, company executives and politicians) is highest among the youngest age group and it decreases with older age group. Fourth, Yamagishi's generalized trust was highest among the older age groups (high school and university students). The patterns of results for relational trust and generalized trust is different and it points to the importance of understanding trust from the indigenous psychological perspective.