• Korean Institute of Interior Design Journal
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• v.23 no.6
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• pp.60-69
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• 2014

The features of the cultural phenomenon, 'Hybrid Culture,' can be analyzed through the concept of 'Meme,' the cultural gene continuously evolves. The architectural meme also has an effect as the cultural symbol on a space. It can be the solution to the urban problems, lack of contextualization caused by reckless development. Therefore, this study aims to examine the characteristics of the sustainable and effective renewal space by applying the concept of Meme. Theoretical analysis, characteristics of expression, and case study are conducted to analyze the Meme features of the renewal space. Particularly, this study focuses on the Meme features appeared in the Zollverein Coal Mine Industrial Complex in German. The results obtained from this study is as written below. First, Meme renewal space is a design that can solve the contextual deficiency of architecture through the cultural renewal. Second, the true renewal space has the characteristics of meme space that organically changes as if an organism. Third, it is possible to conduct a detailed analysis on the organic characteristics according to the evolving phases-Mimesis, Memeplex, and Metameme. Fourth, the true meaning of sustainable renewal space is the Meme space encompasses the scope of urban. Lastly, the Meme space has a circulation system that each evolving phase, and new and old continuously exchange feedbacks.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.9
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• pp.3598-3614
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• 2020

With the increase of motor vehicles and tourism demand, some traffic problems gradually appear, such as traffic congestion, safety accidents and insufficient allocation of traffic resources. Facing these challenges, a model of Spatio-Temporal Dilated Convolutional Network (STDGCN) is proposed for assistance of extracting highly nonlinear and complex characteristics to accurately predict the future traffic flow. In particular, we model the traffic as undirected graphs, on which graph convolutions are built to extract spatial feature informations. Furthermore, a dilated convolution is deployed into graph convolution for capturing multi-scale contextual messages. The proposed STDGCN integrates the dilated convolution into the graph convolution, which realizes the extraction of the spatial and temporal characteristics of traffic flow data, as well as features of road occupancy. To observe the performance of the proposed model, we compare with it with four rivals. We also employ four indicators for evaluation. The experimental results show STDGCN's effectiveness. The prediction accuracy is improved by 17% in comparison with the traditional prediction methods on various real-world traffic datasets.

• Journal of the Korean Institute of Rural Architecture
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• v.13 no.4
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• pp.51-58
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• 2011

The purpose of this study was analyzing the features of architectural colors in Hongseong-gun and proposing environmental color design for regional identity color. According to the analysis, Hongseong's base colors are YR of low hue value and grayish tone colors. But a lot of signs and outdoor billboards mar the beauty of the environmental color. So it is more important to solve the problems as well as new environmental color design. The results are as follows; 1) Naepo Color Palette of 2009 Chungnam Public Design Master Plan would be an accepted principal for the contextual landscape image of Chungnam in macro perspective. 2) Outdoor signboards must be controlled and improved for the harmony of the buildings dominant colors. 3) Roof color would arrange R or grayish of deep tone colors those are similar balance of Hongseong base color YR, and gate color would have clear principles of the order such as chromatic or brightness contrast in housing. 4) Forming of future oriented image of Hongseong need to be considered first as to whether it is harmonious tones with existing local base colors.

• Korean Journal of Cognitive Science
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• v.10 no.2
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• pp.17-25
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• 1999

In developing a Korean database interfacing system exist many difficult problems which are not usually pointed out in developing an English version. Basically the difficulty in implementing deep level Korean database interfacing system lies in the fact that Korean has fewer syntactic restrictions. This means that while less burden will be placed on semantic analysis more burden will be placed on contextual processing for Korean when compared to English. This paper discusses various difficulties which we came across while developing a prototype Korean DB interfacing system (the Korean Core L Language Engine) especially focusing on issues of representing and resolving Quasi Logical Forms.

• The Journal of the Korea Contents Association
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• v.6 no.10
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• pp.17-24
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• 2006

One of the main problems of today's ubiquitous computing systems is that they do not meet their quality requirements. Prior studies had investigated quality factors that were important to users regardless of use contexts. However, mobile computing services such as mobile data services (MDS) are fundamentally different from traditional information systems (IS) because it has been used in various life contexts. We conducted a qualitative study to identify important quality factors on various contexts in MDS. The results show that important quality factors in mobile computing services are differentiated from important quality factors in information systems.

• Journal of The Korean Association For Science Education
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• v.19 no.3
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• pp.448-460
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• 1999

Worksheets with various levels are major instructional material in open classroom, but sometimes they have been arbitrarily developed in elementaryschools. Especially, pedagogical elements of science course seem to have been neglected in developing science learning papers. To solve these problems, a model of worksheets was developed considering the contextual nature of science knowledge and educational constructivism. The frame of this model is composed of inquiry skill and context, which are two dimensions of each learning task. The level of each worksheet was determined by the level of inquiry skills and the familiarity of contexts.

• Speech Sciences
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• v.15 no.4
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• pp.135-146
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• 2008

Breath group generally refers to one of units of speech production. It is an integral component of structural and contextual features of utterances with some responsibility for fluctuations in speech intelligibility. The purpose of this study was to know the characteristics of breath group in reading passages spoken by healthy speakers, specifically in view of aerodynamic aspects. Eighteen female speakers aged from 20 to 30 years old without communication problems and in healthy condition were participated in this study. PAS (Phonatory Aerodynamic System) was used for aerodynamic measurement of breath group. Results showed that the mean value of breath group in reading tasks was 16.03 per minute (SD=3.1), and the spoken syllables per one breath group were 17.95. And the mean time (m) of breath group was 3.06 (SD=0.62), and the ratio of exhalation and inhalation was appeared in the 1:5. The results need to be discussed in values of normality of breath group and clinical viewpoint, especially their potential implication from speech intelligibility caused by brain damage.

• Journal of Korea Multimedia Society
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• v.24 no.3
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• pp.494-507
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• 2021

As service design becomes more common, various user research methods and tools such as cultural probes and contextual inquiry are being used to grasp the user's experience and needs. These methodologies have the advantage of being able to derive various insights through direct observation and investigation, but have disadvantages in that problems such as time and space constraints, cost occurrence, and delay in the service development process may occur. In addition, it is difficult to conduct actual observations, face-to-face investigations, and interviews due to COVID-19, which has recently spread rapidly around the world. Accordingly, prior to the digitization of cultural probes, I would like to suggest the direction of digital tools. First, after grasping the concept of service design and user research through literature research, the necessity of user research in service design was confirmed. After that, the necessity of digitalizing user research was confirmed by extracting functional elements that could be understood and digitalized about the cultural probes methodology, and analyzing previous studies using existing mobile-based survey techniques. Finally, we confirmed the direction of digital tools through user interviews through cultural probes.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.47-54
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• 2023

For Bengali music emotion classification, deep learning models, particularly CNN and RNN are frequently used. But previous researches had the flaws of low accuracy and overfitting problem. In this research, attention-based Conv1D and BiGRU model is designed for music emotion classification and comparative experimentation shows that the proposed model is classifying emotions more accurate. We have proposed a Conv1D and Bi-GRU with the attention-based model for emotion classification of our Bengali music dataset. The model integrates attention-based. Wav preprocessing makes use of MFCCs. To reduce the dimensionality of the feature space, contextual features were extracted from two Conv1D layers. In order to solve the overfitting problems, dropouts are utilized. Two bidirectional GRUs networks are used to update previous and future emotion representation of the output from the Conv1D layers. Two BiGRU layers are conntected to an attention mechanism to give various MFCC feature vectors more attention. Moreover, the attention mechanism has increased the accuracy of the proposed classification model. The vector is finally classified into four emotion classes: Angry, Happy, Relax, Sad; using a dense, fully connected layer with softmax activation. The proposed Conv1D+BiGRU+Attention model is efficient at classifying emotions in the Bengali music dataset than baseline methods. For our Bengali music dataset, the performance of our proposed model is 95%.

• Journal of English Language & Literature
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• v.57 no.6
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• pp.1017-1041
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• 2011

This study investigates Korean EFL learners' awareness and use of the English existential there-construction by examining data collected from 54 Korean EFL learners of English by means of a pragmalinguistic judgment task and a controlled discourse completion task. The results of the judgment task reveal that lower proficiency learners rated canonical sentences and existentials with a preposed locative best in the communicative situations where the use of existentials would have been most appropriate. A comparison of the ratings by more proficient learners and native speakers shows that existentials received highest ratings by both groups where they are the most natural option, while canonical sentences received significantly higher ratings by the learners. With regard to the production data, learners tended to avoid existentials, but rather relied on canonical sentences. Existentials were rarely used by lower proficiency learners and not used productively even by more proficient learners in the situations where existentials would have been the most natural option. These results suggest that Korean learners' difficulty with the use of existentials is not merely a product of performance limitations, but attributable to limited knowledge about existentials and their syntactic alternatives in terms of contextual appropriateness. Lower proficiency learners lack such knowledge, and more proficient learners, while showing better awareness of the use of existentials, have problems as to the placement of new information when engaging in writing tasks that place lower level of demands on attention to the information status of noun phrases compared to communicative, oral tasks.