• Korean Institute of Interior Design Journal
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• v.25 no.1
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• pp.181-191
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• 2016

The purpose of this study is to analyze affordance of façade design by extracting analysis elements of affordance in façade design domestic five-star hotels. The subjects of this study were 88 domestic five-star hotels; we selected literature review and case study as methodology. The analysis elements included mass forms, exterior colors, window frame patterns, exterior characteristics, and door types based on the visual perception factors of façade design from the concept of affordance. The results of the study were as follows. First, the mass forms were divided into stackable, integral, and connection types, and stackable type was most frequent. Second, exterior colors were divided into achromatic, red, yellow, and opaque color parts, and the achromatic parts were most frequent. Third, the window frame patterns were divided into grid, irregular, full, horizontal, and vertical windows, and grid windows were most frequent. Fourth, the exterior characteristics were divided into formative mass, horizontal partition, design contrast, tiled roof, and facility connection, and the formative mass was most frequent. Fifth, the door types were divided into porch, piloti, and wall type, and porch was most frequent. The results of this study showed that the façade design elements such as mass forms, exterior colors, window frame patterns, exterior characteristics, and door types intentionally contained affordance.

• Proceedings of the KSRS Conference
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• v.2
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• pp.868-871
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• 2006

Mortality of domestic people from cardiovascular disease ranked second, which followed that of from cancer last year. Therefore, it is very important and urgent to enhance the reliability of medical examination and treatment for cardiovascular disease. Heart Rate Variability (HRV) is the most commonly used noninvasive methods to evaluate autonomic regulation of heart rate and conditions of a human heart. In this paper, our aim is to extract a quantitative measure for HRV to enhance the reliability of medical examination for cardiovascular disease, and then develop a prediction method for extracting multi-parametric features by analyzing HRV from ECG. In this study, we propose a hybrid Bayesian classifier called FP-based Bayesian. The proposed classifier use frequent patterns for building Bayesian model. Since the volume of patterns produced can be large, we offer a rule cohesion measure that allows a strong push of pruning patterns in the pattern-generating process. We conduct an experiment for the FP-based Bayesian classifier, which utilizes multiple rules and pruning, and biased confidence (or cohesion measure) and dataset consisting of 670 participants distributed into two groups, namely normal and patients with coronary artery disease.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.365-370
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• 2014

The existing system consumes a considerable amount time and cost for extracting the patterns from whole sequences or misaligned sequences. In this paper, We propose the classification system, which creates the partition sequence sections using multiple sequence alignment method and extracts the sequential patterns from these section. These extracted patterns are accumulated motif candidate sets and then used the training sets of SVM classifier. This proposed system predicts a HPV-type(high/low) using the learned knowledges from known/unknown protein sequences and shows more improved precision, recall than previous system in 30% minimum support.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.179-190
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• 2017

Hand Accelerometers are widely used to detect human motion patterns in real-time. It is essential to reliably identify which type of activity is performed by human subjects. This rests on having accurate template of each activity. Many human activities are represented as a set of multiple time-series data from such sensors, which are mostly non-stationary and non-linear in nature. This requires a method which can effectively extract patterns from non-stationary and non-linear data. To achieve such a goal, we propose the method to apply Hilbert-Huang Transform which is known to be an effective way of extracting non-stationary and non-linear components from time-series data. It is applied on samples of accelerometer data to determine its effectiveness.

• Journal of Internet Computing and Services
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• v.10 no.5
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• pp.79-93
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• 2009

For developing the location based service which is individualized and specialized according to the characteristic of the users, the spatio-temporal pattern mining for extracting the meaningful and useful patterns among the various patterns of the mobile object on the spatio-temporal area is needed. Thus, in this paper, as the practical application toward the development of the location based service in which it is able to apply to the real life through the pattern mining from the huge historical data of mobile object, we are proposed STOMP(using Frequency of sequence and Weight) that is the new mining method for extracting the patterns with spatial and temporal constraint based on the problems of mining the optimal moving pattern which are defined in STOMP(F)[25]. Proposed method is the pattern mining method compositively using weighted value(weights) (a distance, the time, a cost, and etc) for our previous research(STOMP(F)[25]) that it uses only the pattern frequent occurrence. As to, it is the method determining the moving pattern in which the pattern frequent occurrence is above special threshold and the weight is most a little bit required among moving patterns of the object as the optimal path. And also, it can search the optimal path more accurate and faster than existing methods($A^*$, Dijkstra algorithm) or with only using pattern frequent occurrence due to less accesses to nodes by using the heuristic moving history.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.23 no.1
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• pp.94-110
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• 2010

Objective : This study was performed to evaluate the effect of immune reaction inductive substances such as phorbol-myristate-acetate(PMA), lipopolysaccharide(LPS), dermato-phagoides pteronyssus crude extract(DPE), dinitrochloro-benzene(DNCB) and Cryptotympana pustulata(CP), the Cryptotympana pustulata extracting substance at simultaneously on the translocation of nuclear factor-kappa B(NF-${\kappa}B$) towards to the nucleus and the mRNA expression patterns of various cytokine genes in Human acute monocytic leukemia cell line(THP-1 cells), monocytes of human. Experiment : To analyze cytokine genes expression patterns, the RT-PCR method was used, measuring tumor necrosis factor(TNF)-$\alpha$ that had been secreted during cell culture in the ELISA method. The morphological change in the cell observed during THP-1 cell culture was observed using a scanning electron microscope (SEM) and the quantitative distribution in the cell NF-${\kappa}B$ was analyzed through immunocytochemistry and a confocal microscopy. Result : CP showed different influences onto the mRNA expression patterns of cytokine genes with PMA, LPS. DPE and DNCB according to the types of immune inductive substances in the THP-1 cells. The expressions of inter-leukin(IL)-10, interferon(INF)-$\gamma$, TNF-$\alpha$ and monocyte chemoattractantant protein(MCP)-1 induced by PMA were suppressed by CP while the expression of transforming growth factor(TGF)-$\beta$ was promoted. Regarding the secretion pattern of TNF-$\alpha$ according to PMA processing, its secretion amount was increased by CP concurrent processing, in case of processing CP onto PMA and LPS, We discovered that the secretion amount of TNF-$\alpha$ was increased. Upon processing PMA and LPS on the THP-1 cell strain at the same time or either additionally processing CP thereon, the movement increase towards the nucleus from the NF-${\kappa}B$ cell cytoplasm, a transcription factor was able to be observed. Conclusion : In this study, Cryptotympana pustulata extracting substance was confirmed that it had an influence on expression patterns of cytokine genes according to the actions of a variety kinds of immune reaction inductive substances processed on the monocyte THP-1 cell of humans. Therefore, additional studies as for the immune adjusting function of Cryptotympana pustulata are considered to be able to offer important materials for curing immune abnormal diseases such as atopy dermatitis afterward.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.725-732
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• 2009

Thanks to the development of the Internet, people can easily access a vast amount of music. This brings attention to application systems such as a melody-based music search service or music recommendation service. Extracting melodies from music is a crucial process to provide such services. This paper introduces a novel algorithm that can extract melodies from piano music. Since piano can produce polyphonic music, we expect that by studying melody extraction from piano music, we can help extract melodies from general polyphonic music.

• Proceedings of the Korean Society for Language and Information Conference
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• 2007.11a
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• pp.105-114
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• 2007

This paper addresses a method for customizing an English-to-Korean machine translation system from general domain to patent domain. The customizing method consists of following steps: 1) linguistically studying about characteristics of patent documents, 2) extracting unknown words from large patent documents and constructing large bilingual terminology, 3) extracting and constructing the patent-specific translation patterns 4) customizing the translation engine modules of the existing general MT system according to linguistic study about characteristics of patent documents, and 5) evaluating the accuracy of translation modules and the translation quality. This research was performed under the auspices of the MIC (Ministry of Information and Communication) of Korean government during 2005-2006. The translation accuracy of the customized English-Korean patent translation system is 82.43% on the average in 5 patent fields (machinery, electronics, chemistry, medicine and computer) according to the evaluation of 7 professional human translators. In 2006, the patent MT system started an on-line patent MT service in IPAC (International Patent Assistance Center) under MOCIE (Ministry of Commerce, Industry and Energy) in Korea. In 2007, KIPO (Korean Intellectual Property Office) tries to launch an English-Korean patent MT service.

• Journal of KIISE:Databases
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• v.36 no.3
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• pp.169-179
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• 2009

Communication log data consist of communication events such as sending and receiving e-mail or instance message and visiting web sites, etc. Many countries including USA and EU enforce the retention of these data on the communication service providers for the purpose of investigating or detecting criminals through the Internet. Because size of the retained data is very large, the efficient method for extracting valuable information from the data is needed for Law Enforcement Authorities to use the retained data. This paper defines the Interactive Communication Sequence Patterns(ICSPs) that is the important information when each communication event in communication log data consists of sender, receiver, and timestamp of this event. We also define a Mining(FDICSP) problem to discover such patterns and propose a method called Fast Discovering Interactive Communication Sequence Pattern(FDICSP) to solve this problem. FDICSP focuses on the characteristics of ICS to reduce the search space when it finds longer sequences by using shorter sequences. Thus, FDICSP can find Interactive Communication Sequence Patterns efficiently.

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.2
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• pp.19-28
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• 2020

This study investigated the annual frequency and clothing type by extracting puff sleeves designs from overseas fashion collections from S/S and F/W 2017 to S/S and F/W 2019. Specifically, it analyzed production characteristics and pattern methods by the type of puff sleeve design, and found the following: In terms of the percentage of puff sleeves by season, S/S 2019 was the highest. Since Newtro, with a 1990s sensitivity, was the mainstream trend during the S/S 2019, power puff sleeves, a signature of the Newtro style, accounted for the greatest portion of this design feature. In terms of the type of clothes with puff sleeves, 'dress' (54.3%) was the highest, followed by 'shirts/blouse' (27.5%), 'jacket/coat' (12.5%), and 'padded coat/jacket' (5.7%). Specifically, puff sleeve patterns were found mostly in the 'dress' category, more than 47% every season, while the figures were more than 23%, 9.3%, and 2.6% in 'shirts/blouse', 'jacket/coat' and 'padded coat/jacket', respectively. In other words, puff sleeve designs were more common in 'dress' or 'shirts/blouse' than in a 'padded coat/jacket'. In general, the shoulder length is reduced to prevent the shoulders from looking broader because of puffs. In contrast, recent puff-sleeve styles differ from those introduced by modern fashion designers in that they have drop shoulders with puffs attached. Furthermore, as constructive and over-exaggerated sleeve patterns appeared, puffs were applied to diverse sleeve styles including mutton leg and Mameluke styles. The analysis results of this study will contribute to the development of the fashion industry through small quantity batch production pursuing unique styles and serve as the basis for further studies on the configuration methods of puff sleeves. This study will be used in various ways, including as educational material on sleeve patterns. Through the analysis of sleeve patterns, this study tries to provide basic data for planning the design of puff sleeves and helping to diversify the ladies' apparel market in the future.