• Journal of information and communication convergence engineering
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• v.7 no.4
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• pp.565-569
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• 2009

This paper proposed the safety helmet monitoring system based on USN(Ubiquitous Sensor Networks) to secure the wear of helmet for labor on the construction area. As one of the most significant gear to assure labor's safety, The safety helmet would have the extend of labor's injuries minimized whether one wears or not when an accident takes place. At this point, we have developed and demonstrated the system which is able to check who wear the safety helmet properly for labors, composed of safety helmets with sensor node, router nodes, sink node and management program. Moreover, we could show optimized parameters for the proposed USN system as doing experiment and demonstration, we expected that this system would make for labor wear the safety helmet properly on the construction area as well as prevent economic injury caused by an accident with not wearing for labors.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.2
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• pp.793-796
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• 2014

Background: This study aimed to examine possible effects of implementing a national query program on site-specific cancer mortality rates. Materials and Methods: A total of 2,874 query letters were sent out by the Department of Statistics, Ministry of Health and Welfare of Taiwan between January 2009 and December 2011 to medical certifiers who reported "neoplasm with uncertain nature" on the death certificate asking for more detailed information for coding. Results: Of the 2,571 responses, in 1,398 cases (54%) medical certifiers were still unable to determine the nature of the neoplasm. There were four neoplasm sites for which more than 50% of the responses changed the category to malignant, the gastrointestinal system (73%), urinary system (60%), stomach (55%) and rectum (53%). The liver was the cancer site that showed the largest absolute increase in the number of deaths after the query; however, the brain showed the largest relative increase, at 12%. Conclusions: Different neoplasm sites showed different magnitudes of change in nature after the query. Brain cancer mortality rates exhibited the largest increase.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2731-2738
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• 2015

The importance of disaster observation facilities and system are increasing around the world in order to predict and prevent water disasters, which cause serious damage to life and property. A performance test center was built to stabilize performance, compatibility, and reliability of devices, and to verify new S/W. The aim of this study is to make a guideline to build standard verifying system for hydrological observation devices by building the performance test center. In addition, efficiency of management and operation of hydrological devices can be enhanced through device analysis, maintenance, database building, and grade certificate publishment after the device test.

• Journal of Intelligence and Information Systems
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• v.17 no.1
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• pp.139-152
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• 2011

Recommender systems have become an important research field since the emergence of the first paper on collaborative filtering in the mid-1990s. In general, recommender systems are defined as the supporting systems which help users to find information, products, or services (such as books, movies, music, digital products, web sites, and TV programs) by aggregating and analyzing suggestions from other users, which mean reviews from various authorities, and user attributes. However, as academic researches on recommender systems have increased significantly over the last ten years, more researches are required to be applicable in the real world situation. Because research field on recommender systems is still wide and less mature than other research fields. Accordingly, the existing articles on recommender systems need to be reviewed toward the next generation of recommender systems. However, it would be not easy to confine the recommender system researches to specific disciplines, considering the nature of the recommender system researches. So, we reviewed all articles on recommender systems from 37 journals which were published from 2001 to 2010. The 37 journals are selected from top 125 journals of the MIS Journal Rankings. Also, the literature search was based on the descriptors "Recommender system", "Recommendation system", "Personalization system", "Collaborative filtering" and "Contents filtering". The full text of each article was reviewed to eliminate the article that was not actually related to recommender systems. Many of articles were excluded because the articles such as Conference papers, master's and doctoral dissertations, textbook, unpublished working papers, non-English publication papers and news were unfit for our research. We classified articles by year of publication, journals, recommendation fields, and data mining techniques. The recommendation fields and data mining techniques of 187 articles are reviewed and classified into eight recommendation fields (book, document, image, movie, music, shopping, TV program, and others) and eight data mining techniques (association rule, clustering, decision tree, k-nearest neighbor, link analysis, neural network, regression, and other heuristic methods). The results represented in this paper have several significant implications. First, based on previous publication rates, the interest in the recommender system related research will grow significantly in the future. Second, 49 articles are related to movie recommendation whereas image and TV program recommendation are identified in only 6 articles. This result has been caused by the easy use of MovieLens data set. So, it is necessary to prepare data set of other fields. Third, recently social network analysis has been used in the various applications. However studies on recommender systems using social network analysis are deficient. Henceforth, we expect that new recommendation approaches using social network analysis will be developed in the recommender systems. So, it will be an interesting and further research area to evaluate the recommendation system researches using social method analysis. This result provides trend of recommender system researches by examining the published literature, and provides practitioners and researchers with insight and future direction on recommender systems. We hope that this research helps anyone who is interested in recommender systems research to gain insight for future research.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.5
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• pp.659-665
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• 2008

Uroflowmetry is a non-invasive and easily performed method to diagnose the benign prostate hypertrophy(BPH) which is frequently found in the aged men. There are some manufactures to provide a diagnosis tool for the benign prostate hypertrophy. Conventional products, however, render only the result of parameters related with prostate hypertrophy, not additional information such as the uroflowmetry variation and related personal information. In this paper, we developed an effective system for feature extraction of prostate hypertrophy as well as online program for wireless networked database management which can be used under ubiquitous environments and Labview based Window program.

• Journal of the Korea Society of Computer and Information
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• v.5 no.3
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• pp.9-15
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• 2000

We call WBI the educational program of this new teaching method which uses the web system. The instruction in WBI settings can make students feel more excited and interested in learning activities because it combined various sorts of multimedia materials such as moving pictures, graphics, and sound.. The diverse learning contents of this program not only supplement student's needs but also stimulate their creativities and application abilities. Based on the internet web courseware, this paper attempts to suggest the new program. This design implements the text, image and sound by using Explorer 5.0 in HTML, Javascript, Photoshop 5.0, Flash 4.0, and finally Gif Construction.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.381-385
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• 2007

KISTI-ACOMS(Online peer review system), which is installated for more than 270 learned societies, is getting harder to manage large amount of source codes, because the number of installation has been growing much faster than we expected at the development time. Moreover the fundamental problem of this system, that frequent requests of modification from societies comes with modification of source codes, makes it more difficult to manage this program systematically. Thereupon we formulated a system to provide services for many societies using one version of source code, and this system is expected to reduce the managed amount of source codes and to make us cope with requests of societies of more positive than until now.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.4
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• pp.705-719
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• 2014

Recently the importance of operational risk is gradually increasing in risk management of financial institute. Especially the service interruption caused by system failure can lead to customer complaints, decrease of profit and customer secession. Thus, financial industry makes diverse effort to minimize the impact caused by the system failure of IT application. Common modules are used in IT system in financial industry to exclude redundant development and to use the system efficiently. However, when a failure in common module is occurred, the risk that affects all the tasks using the common module exists. In this study, the damage affected by a failure in application program is prevented separating common module which has a large risk by task in the perspective of IT operational risk. In order to cope with damage, the research on the factors related to common module is conducted and proposes the separating common module standard for decrease of operational risk of the financial IT.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.989-998
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• 2023

As diseases are already increasing due to aging population and changes in eating habits, interest in digital healthcare is increasing. According to the 2020 Elderly Status Survey, 84% of South Koreans aged 65 and older suffer from at least one chronic disease, and the number and duration of drugs taken by the elderly are also increasing. Effective management that enhances compliance of chronic disease patients can prevent the onset of complications, thereby averting progression to severe illnesses. Thus, a proper medication-taking habit is crucial. This paper proposes a medication information retrieval system using OCR technology. By leveraging Google Cloud Vision API, the system detects and recognizes the names of medicines. Once recognized, the medication name is searched in a database to provide users with medication information and medication schedule management services. By providing accurate medication information through the search, it is possible to induce changes in medication methods and habits. By eliminating the inconvenience of direct input through OCR technology, we anticipate enhancing user convenience by promptly delivering information.

• Journal of Broadcast Engineering
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• v.19 no.5
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• pp.631-639
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• 2014

Since digital broadcasting service has been begun, user's requirements have been increased for personalized broadcasting system that users can watch the part of programs which they want to watch in anytime. In personalized broadcasting system, metadata is important for searching program information based on user's input data. In this paper, an object-oriented media service metadata management module is implemented. Metadata used in this system is described by extending TV-Anytime specifications which is the International standard for personalized media service. For this, extended segments information is provided including object information which do not existing in previous personalized broadcasting standard. This system can provide better satisfaction to users by using object segmentation information.