• The Journal of the Korea Contents Association
• /
• v.7 no.6
• /
• pp.22-30
• /
• 2007

Most real word systems such as world economy, stock market, and medical applications, contain a series of dynamic and complex phenomena. One of common methods to understand these systems is to build a model and analyze the behavior of the system. In this paper, we investigated methods for best clustering over time series data. As a first step for clustering, BIC (Bayesian Information Criterion) approximation is used to determine the number of clusters. A search technique to improve clustering efficiency is also suggested by analyzing the relationship between data size and BIC values. For clustering, two methods, model-based and similarity based methods, are analyzed and compared. A number of experiments have been performed to check its validity using real data(stock price). BIC approximation measure has been confirmed that it suggests best number of clusters through experiments provided that the number of data is relatively large. It is also confirmed that the model-based clustering produces more reliable clustering than similarity based ones.

• Journal of KIISE:Software and Applications
• /
• v.32 no.9
• /
• pp.901-911
• /
• 2005

With the development of e-commerce and the proliferation of easily accessible information, information filtering has become a popular technique to prune large information spaces so that users are directed toward those items that best meet their needs and preferences. While many collaborative filtering systems have succeeded in capturing the similarities among users or items based on ratings to provide good recommendations, there are still some challenges for them to be more efficient, especially the user bias problem, non-transitive association problem and cold start problem. Those three problems impede us to capture more accurate similarities among users or items. In this paper, we provide probabilistic model approaches for UCHM and ICHM which are suggested to solve the addressed problems in hopes of achieving better performance. In this probabilistic model, objects (users or items) are classified into groups and predictions are made for users considering the Gaussian distribution of user ratings. Experiments on a real-word data set illustrate that our proposed approach is comparable with others.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.23 no.1
• /
• pp.113-127
• /
• 2021

This study aims to analyze the style of men's suits and extract expressional words for the development of semantic differential scales of visual images according to the change in silhouette. Research methods are literature studies, case studies, and questionnaires. The stimuli were created using CLO 3D, a virtual sewing CAD. This study's results are as follows: 1) The British suit jacket has an angled shoulder line using thin pads, and a slightly higher waistline. The pants of the suit have a high waistline and two pleats, so the thighs of the pants are wide. The American suit jacket has a natural shoulder line, and the waistline is not emphasized. The width of the jacket is relaxed, and the length is long. The pants of the suit have a higher waistline, and the pants are wide as well. The Italian suit jacket has wide shoulders, and the waistline is connected lower with a soft curve, and the length is relatively short. The trousers of the suit are tapered and get narrower as it goes down to the hem. 2) Because it originated in the practices of true bespoke tailoring, traditional British suits have a far more 'fitted' silhouette than the mass-produced styles that became emblematic of the American style. By the late 1950s, a sack-style suit was standard American business attire. This technique gives the sack suit its characteristically 'boxy' silhouette. The "Continental" presented a highly tailored silhouette, with padded shoulders, a slim, tight-fitting chest, and a closely tapered waist. The story was that Italian culture valued aesthetics over all else and thus sought the 'slim' suit style as much as possible. 3) The main expressional words of visual images for men's suits differ greatly depending on the silhouette of suit. The visual images are ranked in the order of 'neat', 'classic', 'educated', 'hard', 'mature', for fitted silhouettes. The words of 'masculine', 'basic', 'comfortable', 'simple', 'mature', 'conservative', 'modern', are ranked for boxy silhouettes. And the words of 'slim', 'young', 'neat', are noted for slim silhouettes.

• Korean Journal of Heritage: History & Science
• /
• v.50 no.2
• /
• pp.4-25
• /
• 2017

The Hoeamsa Temple of Yangju City was established at least during the late Korea Dynasty. This temple was rebuilt several times with the support of the royal family from the late Korea Dynasty to the early Joseon Dynasty. It was continually rebuilt in association with JiGong monk, HyeKeun monk, and MuHak monk. Hoeamsa temple was leading the Buddhist culture as a Buddhist center of the Joseon Dynasty . It was destroyed in the late Joseon Period. This site has been excavated several times since 1997. Various roofing tiles were unearthed. Of these tiles the edge of eaves are the artifacts showing the best features of this era. In this temple site has been excavated a variety of Sanskrit roof tiles. These tiles were made using superior technique. On the roof tiles are engraved Sanskrit mantras with a variety of 1 to 9 words. The jeongbeopkkye mantra(oṃ raṃ) and six-word mantra(oṃ ma ṇi pa dme hūṃ) were discovered the most. These mantras were believe to expel several evils from the Buddhist temple. It must have been that the six-word mantra culture became prevalent and provided a turning point in the history of Korean Buddhism. We can clearly know when some of the Sanskrit roof tiles were first manufactured. These roof tiles are the absolute standard of the other Sanskrit roof tiles excavated from different Buddhist temples. The master craftsmen must have been very skilled, understood the mantra very well, and had deep faith in the Sanskrit mantra. Hoeamsa Temple is a milestone in studying the Sanskrit roof tiles. More studies on various aspects are expected to be followed.

• Convergence Security Journal
• /
• v.19 no.4
• /
• pp.133-142
• /
• 2019

Although torrents and P2P sites or web hard are frequently used by users simply because they can be easily downloaded freely or at low prices, domestic torrent and P2P sites or web hard are very sensitive to copyright. Techniques have been researched and applied. Among these, title and string comparison method filtering techniques that block the number of cases such as file titles or combinations of key words are blocked by changing the title and spacing. Bypass is easy through. In order to detect and block illegal works for copyright protection, a technique for normalizing modified file titles is essential. In this paper, we compared the detection rate by searching before and after normalizing the modified file title of illegal works and normalizing the file title. Before the normalization, the detection rate was 77.72%, which was unfortunate while the detection rate was 90.23% after the normalization. In the future, it is expected that better handling of nonsense terms, such as common date and quality display, will yield better results.

• Convergence Security Journal
• /
• v.15 no.4
• /
• pp.11-18
• /
• 2015

The new environments arrive such as ICT convergence, cloud computing, and big data, etc., how to take advanta ge of the existing software engineering technologies has become an important key. In addition, the importance of re quirement analysis for secure software and design phase has been shown in the IoT environment While the existing studies have focused on the utilization of the technique applied to IoT environment, the studies for enhancing analys is and design, the prerequisite steps for safely appling these techniques to the site, have been insufficient. So, we tr y to organize research trends based on software engineering and analyze their relationship in this paper. In detail, w e classify the research trends of software engineering to perform research trends meta-analysis, and analyze an ann ual development by years. The flow of the major research is identified by analyzing the correlation of the key word s. We propose the strategies for enhancing the utilization of software engineering techniques to develop high-quality software in the IoT environment.

• Korean Journal of Cognitive Science
• /
• v.18 no.3
• /
• pp.305-324
• /
• 2007

We surveyed the emotional images of three kinds of scientific technologies in people's mind and the perception of technologies in terms of their risks and benefits. The contents of the image and their image values were used to estimate the affects on each technology. As an affect heuristic hypothesis predicted, people perceived the technology more beneficial or riskier depending on their overall affect. In other words, those who have positive affect on the technology Perceived less risky and more beneficial than those who have negative affect. On the other hand, those who have negative affect on the technology perceived riskier and less beneficial than those who have positive affect. We also found negative relationship between the perceived risk and perceived benefit of each technology. The implications of our findings that suggest affective heuristic were discussed in terms of the measurements of affect and the necessity of communication of scientific technologies with the public.

• Journal of Korea Trade
• /
• v.24 no.8
• /
• pp.39-62
• /
• 2020

Purpose - Korean exports account for a vast proportion of Korean GDP, and large volumes of Korean products are sold in the United States. Identifying and characterizing actual and potential product hazards related to Korean products is critical to safeguard Korean export trade, as severe quality issues can impair Korea's reputation and reduce global consumer confidence in Korean products. In this study, we develop country-of-origin-based product risk analysis methods for social media with a specific focus on Korean-labeled products, for the purpose of safeguarding Korean export trade. Design/methodology - We employed two social media datasets containing consumer-generated product reviews. Sentiment analysis is a popular text mining technique used to quantify the type and amount of emotion that is expressed in the text. It is a useful tool for gathering customer opinions regarding products. Findings - We document and discuss the specific potential risks found in Korean-labeled products and explain their implications for safeguarding Korean export trade. Finally, we analyze the false positive matches that arise from the established dictionaries that were used for risk discovery and utilize these classification errors to suggest opportunities for the future refinement of the associated automated text analytic methods. Originality/value - Various studies have used online feedback from social media to analyze product defects. However, none of them links their findings to trade promotion and the protection of a specific country's exports. Therefore, it is important to fill this research gap, which could help to safeguard export trade in Korea.

• Proceedings of the Korea Contents Association Conference
• /
• 2007.11a
• /
• pp.238-242
• /
• 2007

The existent UCC sites display only finalized contents by publisher. It dose not provide any platform for resources of UCC that public users could reorganize. This paper has developed a platform to be able to produce reusable content using the scenes of the contents and produced a 3D animation with multiple story. It is necessary for user to search the provided contents for easy reorganization of the contents. The scene is classified by the description and information of the scene for handy search. It is obscure for a movie clip to be represent with only one word. Therefore, the proposed platform provides the search technique with a overlapping choice for the specific categories that include most of elements for the scene. Then the user can choose a specific range of the selected movie clip, make a new story with reorganizing the order, and put a caption or BGM on the movie clip. The complete movie clip has the search preferences as a category, new clips, and top favorites. With the Multi-Story line concept, we made a 3D animation about episodes of thermal dolls in the Doll World. This attempt will come to the new marketing way for a field of the visual media like as Music Video, Drama, Feature Film, Commercial Film.

• The Journal of the Korea Contents Association
• /
• v.22 no.2
• /
• pp.211-223
• /
• 2022

This study aims to verify the possibility of using the blog mining to collect public opinion in the field of housing policy, thus, it collected blog posts with the keyword 'Happy Housing', extracted the main keywords from them, and analyzed the public's perception through keyword and word cluster analysis. 137,002 blog posts were used as analysis data from May 2013, when social discussion about happy housing spread, to August 2021, and the words derived by dividing the period into three stages in consideration of major housing policies and data collection were analyzed. The results are as follows. In the keyword analysis, overall, the importance of words related to the location, the number, the size, and the conditions for occupancy of Happy Housing is high. In the first stage, government policy implementation, in the second stage, the application process for Happy Housing, and in the third stage, recruitment notices, occupancy qualifications, and rental conditions are found to be highly important. In cluster analysis, project progress, application process, and project area were drawn as main themes at all stages. In particular, policy implementation and implementation plan in the first stage, occupancy qualification and financial support in the second stage, and policy implementation and occupancy qualification in the third stage were drawn as main themes. These results present the possibility of the blog mining as a method of collecting public opinion by sharing policy-related information, reflecting social issues, evaluating whether policies are delivered, and inferring the public's participation in policies.