• Journal of the Korea Convergence Society
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• v.9 no.3
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• pp.231-240
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• 2018

Recently, personal information processing are becoming more important in the behavioral advertising based on online and mobile platform. The behavioral advertising analyzes and utilizes individual's search & purchase history, hobbies, and tendency based on the personal behavior information collected using the automatic collection device. Therefore, it collects and stores other types of personal information which did't defined in Privacy Act and can analyze personal behavior. This characteristics may cause disclosure of personal information and exposure to intrusion. In this paper, we investigate and analyze the privacy policy of the advertising agencies, and discussded the measures to be taken in collecting, storing and using personal information suitable for behavior information.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.8
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• pp.1029-1043
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• 2013

The pearl is a highly valuable gem that has historically represented wealth and power. Pearl necklaces have developed intro various types and represent an essential status item for modern women. This study first examines the symbolic and various meanings of pearls. Second, this study examines wearing types and pearl necklace patterns based on historical figures and modern fashion icons famous for personal displays of pearls. This study examines and analyzes various specialty publications about jewels, history of costumes, fashion magazines, academic research data, and internet search results. The conclusion of this study is as follows. Pearls have various symbolic meanings that are unlike other gems. Pearls represent purity, innocence, marital fidelity, an intimate relationship with the moon, frozen tears of God, solitude, triumph over adversity, wisdom, and sensual attraction. The societies and people traditionally famous for pearls were the Roman Empire, Queen Cleopatra of Egypt, Queen Theodora of the Byzantine Empire, Queen Elizabeth I, Queen Marie Antoinette, Empress of Eugenie Napoleon III, and Queen Alexandra. They showed a special affection for pearl necklaces and various wearing patterns unique to the time. Their pearl necklaces became a historic and symbolic legacy. Reestablished through the costume jewelry of cultivated pearls designed by Coco Chanel in the $20^{th}$ century, the pearl necklace has showed a variety of fashion trends in addition to a traditional symbolism of wealth and power. Josephine Baker, Louise Brooks, Marilyn Monroe, Elizabeth Taylor, Jacqueline Kennedy, Queen Elizabeth II, Princess Diana, Michelle Obama and Sarah Jessica Parker have worn notable pearl necklaces and established an individual style that utilizes the adornment of fashionable and stylish pearl necklaces. They have worn pearl necklaces while applying various fashion trend motifs to symbolic pearl features of that have changed the perception of the pearl and themselves.

• Safety and Health at Work
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• v.8 no.4
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• pp.337-342
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• 2017

Background: Workplace violence (WPV) against healthcare workers (HCWs) employed in psychiatric inpatient wards is a serious occupational issue that involves both staff and patients; the consequences of WPV may include increased service costs and lower standards of care. The purpose of this review was to evaluate which topics have been focused on in the literature and which are new in approaching the concern of patient violence against HCWs employed in psychiatric inpatient wards, in the past 20 years. Methods: We searched for publications in PubMed and Web of Science using selected keywords. Each article was reviewed and categorized into one or more of the following four categories based on its subject matter: risk assessment, risk management, occurrence rates, and physical/nonphysical consequences. Results: Our search resulted in a total of 64 publications that matched our inclusion criteria. The topics discussed, in order of frequency (from highest to lowest), were as follows: "risk assessment," "risk management," "occurrence rates," and "physical/nonphysical consequences." Schizophrenia, young age, alcohol use, drug misuse, a history of violence, and hostile-dominant interpersonal styles were found to be the predictors of patients' violence. Conclusion: Risk assessment of violence by patients appeared the way to effectively minimize the occurrence of WPV and, consequently, to better protect mental HCWs. We found paucity of data regarding psychologic sequelae of WPV. According to these findings, we suggest the need to better investigate the psychologic consequences of WPV, with the aim of checking the effective interventions to assist HCW victims of violence and to prevent psychologic illness.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.2
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• pp.149-160
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• 2021

In this study, artificial intelligence-based algorithms were proposed, which included a fuzzy search for matching suspects between current and historical crimes in order to obtain related cases in criminal history, as well as conditional generative adversarial networks for crime prediction system (CPS) using Timor-Leste as a case study. By comparing the data from the criminal records, the built algorithms transform witness descriptions in the form of sketches into realistic face images. The proposed algorithms and CPS's findings confirmed that they are useful for rapidly reducing both the time and successful duties of police officers in dealing with crimes. Since it is difficult to maintain social safety nets with inadequate human resources and budgets, the proposed implemented system would significantly assist in improving the criminal investigation process in Timor-Leste.

• Journal of KIISE:Databases
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• v.37 no.5
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• pp.258-266
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• 2010

In this paper, we introduce a novel method to predict next update of blogs. The number of RSS feeds registered on meta-blogs is on the order of several million. Checking for updates is very time consuming and imposes a heavy burden on network resources. Since blog search engine has limited resources, there is a fix number of blogs that it can visit on a day. Nevertheless we need to maximize chances of getting new data, and the proposed method which predicts update probability on blogs could bring better chances for it. Also this work is important to avoid distributed denial-of-service attack for the owners of blogs. Furthermore, for the internet as whole this work is important, too, because our approach could minimize traffic. In this study, we assumed that there is a specific pattern to when a blogger is actively posting, in terms of days of the week and, more specifically, hours of the day. We analyzed 15,119 blogs to determine a blogger's posting preference. This paper proposes a method to predict the update probability based on a blogger's posting history and preferred days of the week. We applied proposed method to 12,115 blogs to check the precision of our predictions. The evaluation shows that the model has a precision of 0.5 for over 93.06% of the blogs examined.

• 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.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.17
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• pp.7567-7573
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• 2015

Background: Catastrophic effects of mustard gas as a chemical warfare agent have always been a major problem for those exposed to this agent. In this meta-analysis it was tried to evaluate carcinogenesis, ocular, cutaneous and respiratory complications of mustard gas exposure among Iranians who had been exposed to this agent during the Iran-Iraq war. Materials and Methods: In this meta-analysis, the required data were collected using keywords "mustard gas", "sulfur mustard", "cancer", "neoplasm", "respiratory complications", "ocular complications", "lung disease", "chronic complication", "eye", "skin", "cutaneous complication", "carcinogenesis" and their combination with keywords "Iran", "Iranian", "prevalence", "mortality" and their Farsi equivalent terms from the databases of SID, Iranmedex, Magiran, Pubmed, Science Direct, Google Search engine, Gray Literature and Reference of References. To determine the prevalence of each complication and perform meta-analysis, CMA: 2 (Comprehensive Meta-Analysis) software with a randomized model was used. Results: Of the 542 articles found, 7 national articles, consistent with the aims of this study were selected. Meta-analysis of seven papers revealed that cancer risk, especially cancer of the respiratory system was elevated, so that the relative risk (RR) of cancer role of mustard gas was inconsistent from 2/1 to 4 in this survey. Also prevalence of delayed skin disorders due to sulfur mustard was 94.6%, pulmonary complications 94.5% and ocular complications 89.9%. The incidence of various cancers in victims exposed to mustard gas was 1.7% worldwide where the rate was 2.2% in Iranian victims of the Iraq-Iran war. Conclusions: Based on present study the prevalence of delayed mustard gas related cutaneous, pulmonary and ocular complications is above 90% and risk of carcinogenesis is higher in comparison to worldwide statistics. This may suggest need for long-term and persistent follow-up and rehabilitation procedures for populations exposed to this agent.

• Journal of the Korean Chemical Society
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• v.53 no.6
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• pp.774-783
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• 2009

The purpose of this study was to survey the secondary science teachers' viewpoints of basic particles conceptions addressed in science course. The first content of this study was to analyze the secondary science teachers conceptions related to basic particles founded on scientific history viewpoints. The second content was to investigate their understanding of relations between atom, element, and molecule concepts. The third content was to search the factors influenced on basic particles conceptions of science teachers. For this study, 96 secondary science teachers were selected. The data of this study were collected through a questionnaire developed for this study and were analysed using the method of constant comparative analysis. The results showed that their viewpoints towards basic particles were similar to each other regardless of their majors and their conceptions belonged to the past viewpoints. The teachers lacked linking understand among basic particles conceptions because they applied different viewpoints on different problems. Most of the teachers were influenced on science textbooks, guidebooks for teachers, and reference books to form confusing viewpoints of basic particles.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.17 no.2
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• pp.23-42
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• 2006

This is a study of the digital archives of Culturecontent.com where 'Cultural Archetype Contents' are currently in service. One of the major purposes of our study is to point out problems in the current system and eventually propose improvements to the digital archives. The government launched a four-year project for developing the cultural archetype content sources and establishing its related business with the hope of enhancing the nation's competitiveness. More specifically, the project focuses on the production of source materials of cultural archetype contents in the subjects of Korea's history. tradition, everyday life. arts and general geographical books. In addition, through this project, the government also intends to establish a proper distribution system of digitalized culture contents and to control copyright issues. This paper analyzes the digital archives system that stores the culture content data that have been produced from 2002 to 2005 and evaluates the current system's weaknesses and strengths. The summary of our findings is as follows. First. the digital archives system does not contain a semantic search engine and therefore its full function is 1agged. Second, similar data is not classified into the same categories but into the different ones, thereby confusing and inconveniencing users. Users who want to find source materials could be disappointed by the current distributive system. Our paper suggests a better system of digital archives with text mining technology which consists of five significant intelligent process-keyword searches, summarization, clustering, classification and topic tracking. Our paper endeavors to develop the best technical environment for preserving and using culture contents data. With the new digitalized upgraded settings, users of culture contents data will discover a world of new knowledge. The technology we introduce in this paper will lead to the highest achievable digital intelligence through a new framework.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.39-47
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• 2017

The Internet have increased the number of digital web documents related to the history and traditions of Korean Culture. However, users who search for creators or materials related to traditional cultures are not able to get the information they want and the results are not enough. Document classification is required to access this effective information. In the past, document classification has been difficult to manually and manually classify documents, but it has recently been difficult to spend a lot of time and money. Therefore, this paper develops an automatic text classification model of traditional cultural contents based on the data of the Korean information culture field composed of systematic classifications of traditional cultural contents. This study applied TF-IDF model, Bag-of-Words model, and TF-IDF/Bag-of-Words combined model to extract word frequencies for 'Korea Traditional Culture' data. And we developed the automatic text classification model of traditional cultural contents using Support Vector Machine classification algorithm.