• The Journal of the Korea Contents Association
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• v.15 no.9
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• pp.509-526
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• 2015

The study investigated the N-Screen strategies of paid digital contents of foreign newspapers belonging to advanced companies: USA, United Kingdom, and Japan. This research employed the time to launch paid digital content business, whether or not to segment market, and 4p marketing mix strategies for analyzing the strategies. The results show that the strategies, starting around the year 2000, had experience chasm, and then revived since the year 2010, when the penetration rate of mobile devices proliferated. Most newspapers still supply contents under the assumption that they paly in a mass market. The items of paid digital contents are mainly composed of e-paper and digital contents. Regarding the price strategy, soft paywall and combination paywall are largely used. Distribution strategy is subject to whether or not to discriminate the path of digital contents. As for promotion strategy, bundling strategy with newspaper is mostly utilized. The difference between western countries and Japan was found in term of the free trial service.

• Radiation Oncology Journal
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• v.17 no.4
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• pp.293-298
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• 1999

Intracranial involvement by adenoid cystic carcinoma (ACC) is very rare and there is no report of intracranial extension from the palate ACC in Korea. Intracranial involvement can occur in one of three ways: direct extension, perineural spread, and hematogenous spread. A case report of a 35-year-old woman with intracranial ACC is presented. Initially she had ACC of the right palate and was treated by surgery and postoperative radiation therapy. Three years and 10 months later, the paresthesia in the distribution of ophthalmic and maxillary branch of right trigeminal none developed without evidence of recurrence in CT scan. Ptosis and total ophthalmoplegia developed sequentially and the second operation was peformed. It was suggested that the tumor was spread perineurally along the trigeminal news into the Gasserian ganglion and then cavernous sinus and orbit. Seven years and 6 months after the first operation, direct intracranial extension into the right temporal lobe developed via sphenoid bone, sphenoid sinus and temporal bone and the third operation was done. And then lung metastasis was diagnosed. She is alive for 9 years 5 months after first operation.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.7
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• pp.1129-1136
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• 2008

The gaiter is one of the personal protective equipments worn in various industrial sites. This study was performed on humans to investigate the physiological strain of wearing gaiters and to compare control gaiters that are currently on the market and new gaiters that are developed for alleviating heat stress. Experiments were conducted in a climatic chamber of WBGT $30.0\pm0.7^{\circ}C$ under five differed experimental conditions: None, Control A, Control B, New A, New B. The results were as follows. The temperature inside gaiters was significantly lower in both New A and New B than in both Control A and Control B and the difference between news and controls was 1$^{\circ}C$ (p<.01). The humidity inside gaiters in both New A and New B were higher than that in Control A, and lower than that in Control B (p<.01). The outermost surface temperature of the gaiter was the lowest in None and it increased in the following order: New B < New A < Control A < Control B. Mean skin temperature was higher by 0.14$^{\circ}C$ in wearing gaiters than in no gaiters. Skin temperatures in lower body were lower in Control than in New and skin temperature in upper body were higher in Control than in New (p<.01). Local sweat rate, total weight loss and subjective sensations did not show a significant difference according to the gaiters. It was concluded that wearing gaiters affected distribution of skin temperature and local sweat rate.

• Journal of Korean Public Health Nursing
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• v.18 no.1
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• pp.90-102
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• 2004

The purpose of the study was to analyze the current status of hypertension related information on the mass-media. Data were collected on the hypertension related reports in three major broadcasting centers, KBS1$\cdot$2, MBC, SBS, for 2 years, 1999-2001. Sample of the study was 134 reports. The results were as follows: 1. There were differences in frequencies by broadcasting center and programs. KBS and 9PM News were highest in proportions, $62.6\%\;and\;37.3\%$ respectively. 2. In regard to reporting time, $90\%$ were reported in the afternoon. and $62.5\%$ of those reports were in 9 PM, followed by 8PM. & 7PM. and 6AM. 3. In regard to area of the report, $35.8\%$ belonged to social section, followed by $26.1\%$ science. $15.7\%$ international. and $11.2\%$ life and health. 4. In terms of monthly distribution, December, November, and August had higher proportion of reports than other months as well as fall and winter. 5. There were higher proportion of reports containing 'treatment and management' with 'complication management' targeted to 'patients' than 'prevention' targeted to 'general population' in terms of content of the report. In summary, MBC and SBS were more focused on 'treatment and management' with KBS more focused on 'prevention'. There were more 'prevention' related reports in summer, and 'complication management' reports in the morning with 'treatment and management' reports in the afternoon.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.6
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• pp.1053-1065
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• 2020

With the recent development of hardware performance and artificial intelligence technology, sophisticated fake videos that are difficult to distinguish with the human's eye are increasing. Face synthesis technology using artificial intelligence is called Deepfake, and anyone with a little programming skill and deep learning knowledge can produce sophisticated fake videos using Deepfake. A number of indiscriminate fake videos has been increased significantly, which may lead to problems such as privacy violations, fake news and fraud. Therefore, it is necessary to detect fake video clips that cannot be discriminated by a human eyes. Thus, in this paper, we propose a deep-fake detection model applied with Bidirectional Convolution LSTM and Attention Module. Unlike LSTM, which considers only the forward sequential procedure, the model proposed in this paper uses the reverse order procedure. The Attention Module is used with a Convolutional neural network model to use the characteristics of each frame for extraction. Experiments have shown that the model proposed has 93.5% accuracy and AUC is up to 50% higher than the results of pre-existing studies.

• The KIPS Transactions:PartB
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• v.12B no.1 s.97
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• pp.81-90
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• 2005

In this paper, we propose a novel approach which models multilingual story link detection by adapting the features such as timelines and multilingual spaces as weighting components to give distinctive weights to terms related to events. On timelines term significance is calculated by comparing term distribution of the documents on that day with that on the total document collection reported, and used to represent the document vectors on that day. Since two languages can provide more information than one language, term significance is measured on each language space and used to refer the other language space as a bridge on multilingual spaces. Evaluating the method on Korean and Japanese news articles, our method achieved $14.3{\%}\;and\;16.7{\%}$ improvement for mono- and multi-lingual story pairs, and for multilingual story pairs, respectively. By measuring the space density, the proposed weighting components are verified with a high density of the intra-event stories and a low density of the inter-events stories. This result indicates that the proposed method is helpful for multilingual story link detection.

• Journal of Family Resource Management and Policy Review
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• v.14 no.4
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• pp.239-262
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• 2010

This study looks at the patterns of married women's lifestyles and verifies whether there are differences in their preferences, the will to continue shopping, and the importance of healthy foods. The paper analyzes the relative influence of each lifestyle pattern on the level of satisfaction with healthy foods. The results of the analysis of this study are as follows. To find patterns in the lifestyles of married women ages 20s to 50s, the factors were analyzed and five lifestyle patterns were extracted: health managing type, fashion pursuing type, self-expressing type, family-oriented type, and eco-friendly type. If we examine the purchasing of healthy foods for each lifestyle, women with a self-expressing lifestyle gain more information from news articles, books, and salespeople than from other information sources. Women of the health managing, family-oriented, and eco-friendly types had high purchasing frequencies and amounts. A cluster analysis was carried out to categorize the different groups being investigated into lifestyle types. They were categorized into the four clusters: active multiple-oriented type; fashion, self-expressing compromising type; passive well-being oriented type; and family and health managing type. It has been verified that there are differences among the clusters in terms of the level of importance of products, contributions to health, as well as distribution and management of healthy foods. To be more specific, the level of importance of the products as well as their distribution and management manifested as being higher among the active multiple-oriented type and the family-oriented and health managing types. The level of importance of contributions to health scored high among all groups, except the passive well-being oriented type. The active multiple-oriented type and the family-oriented and health managing types showed a high level of preference and will to continue purchasing healthy foods, while the fashion and self-expressing compromising types and passive well-being oriented type showed a low level of preference and will. In order to find patterns in the level of satisfaction with healthy foods, three factors were analyzed: credibility of labels, contributions to health, and satisfaction with the store. The factors that had the greatest influence on the total level of satisfaction was the credibility of labels for the family-oriented lifestyle; a product's contribution to health for the health managing lifestyle; and the store for the fashion pursuing lifestyle.

• Fire Science and Engineering
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• v.31 no.4
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• pp.95-102
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• 2017

The fires in the traditional markets often occur recently with the most of them expanded into great fires so that the damage is very serious. The status of traditional markets handling the distribution for ordinary people is greatly shrunk with the aggressive marketing of the local large companies and the foreign large distribution companies after the overall opening of the local distribution market. Most of the traditional markets have the history and tradition from decades to centuries and have grown steadily with the joys and sorrows of ordinary people and the development of the local economy. The fire developing to the large fire has the characteristics of the problem that the fire possibility is high since all products can be flammable due to the deterioration of facilities, the arbitrary modification of equipment, and the crowding of the goods for sale. Furthermore, most of the stores are petty with their small sizes so that the passage is narrow affecting the passage of pedestrians. Accordingly, the traditional markets are vulnerable to fire due to the initial unplanned structural problem so that the large scale fire damage occurs. The study is concerned with systematically classifying and analyzing the result by applying the TRIZ tool to the fire risk factors to extract the fundamental problem with the fire of the traditional market and make the active response. The study was done for preventing the fire on the basis of it and the expansion to the large fire in case of fire to prepare the specific measure to minimize the fire damage. On the basis of the fire expansion risk factor of the derived traditional market, the study presented the passive measures such as the improvement of the fire resisting capacity, the fire safety island, etc. and the active and institutional measures such as the obligation of the fire breaking news facilities, the application of the extra-high pressure pump system, the divided use of the electric line, etc.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.1-18
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• 2016

Owing to the extensive use of Web media and the development of the IT industry, a large amount of data has been generated, shared, and stored. Nowadays, various types of unstructured data such as image, sound, video, and text are distributed through Web media. Therefore, many attempts have been made in recent years to discover new value through an analysis of these unstructured data. Among these types of unstructured data, text is recognized as the most representative method for users to express and share their opinions on the Web. In this sense, demand for obtaining new insights through text analysis is steadily increasing. Accordingly, text mining is increasingly being used for different purposes in various fields. In particular, issue tracking is being widely studied not only in the academic world but also in industries because it can be used to extract various issues from text such as news, (SocialNetworkServices) to analyze the trends of these issues. Conventionally, issue tracking is used to identify major issues sustained over a long period of time through topic modeling and to analyze the detailed distribution of documents involved in each issue. However, because conventional issue tracking assumes that the content composing each issue does not change throughout the entire tracking period, it cannot represent the dynamic mutation process of detailed issues that can be created, merged, divided, and deleted between these periods. Moreover, because only keywords that appear consistently throughout the entire period can be derived as issue keywords, concrete issue keywords such as "nuclear test" and "separated families" may be concealed by more general issue keywords such as "North Korea" in an analysis over a long period of time. This implies that many meaningful but short-lived issues cannot be discovered by conventional issue tracking. Note that detailed keywords are preferable to general keywords because the former can be clues for providing actionable strategies. To overcome these limitations, we performed an independent analysis on the documents of each detailed period. We generated an issue flow diagram based on the similarity of each issue between two consecutive periods. The issue transition pattern among categories was analyzed by using the category information of each document. In this study, we then applied the proposed methodology to a real case of 53,739 news articles. We derived an issue flow diagram from the articles. We then proposed the following useful application scenarios for the issue flow diagram presented in the experiment section. First, we can identify an issue that actively appears during a certain period and promptly disappears in the next period. Second, the preceding and following issues of a particular issue can be easily discovered from the issue flow diagram. This implies that our methodology can be used to discover the association between inter-period issues. Finally, an interesting pattern of one-way and two-way transitions was discovered by analyzing the transition patterns of issues through category analysis. Thus, we discovered that a pair of mutually similar categories induces two-way transitions. In contrast, one-way transitions can be recognized as an indicator that issues in a certain category tend to be influenced by other issues in another category. For practical application of the proposed methodology, high-quality word and stop word dictionaries need to be constructed. In addition, not only the number of documents but also additional meta-information such as the read counts, written time, and comments of documents should be analyzed. A rigorous performance evaluation or validation of the proposed methodology should be performed in future works.

• Journal of the Korean Society for information Management
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• v.22 no.2 s.56
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• pp.125-145
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• 2005

This paper presents a semantic vector space retrieval model incorporating a word sense disambiguation algorithm in an attempt to improve retrieval effectiveness. Nine Korean homonyms are selected for the sense disambiguation and retrieval experiments. The total of approximately 120,000 news articles comprise the raw test collection and 18 queries including homonyms as query words are used for the retrieval experiments. A Naive Bayes classifier and EM algorithm representing supervised and unsupervised learning algorithms respectively are used for the disambiguation process. The Naive Bayes classifier achieved $92\%$ disambiguation accuracy. while the clustering performance of the EM algorithm is $67\%$ on the average. The retrieval effectiveness of the semantic vector space model incorporating the Naive Bayes classifier showed $39.6\%$ precision achieving about $7.4\%$ improvement. However, the retrieval effectiveness of the EM algorithm-based semantic retrieval is $3\%$ lower than the baseline retrieval without disambiguation. It is worth noting that the performances of disambiguation and retrieval depend on the distribution patterns of homonyms to be disambiguated as well as the characteristics of queries.