• Journal of Life Science
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• v.16 no.3 s.76
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• pp.472-476
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• 2006

We have built a database server called HorseDB which contains the genome annotation information and biological information for horse from public database entries. The aims of HorseDB are the integration of biological information and horse genome data on genome scale using bioinformatic methods. To facilitate the extraction of useful information among collected horse genome and biological data, we developed a user-friendly interface system, HorseDB; an Integrated Horse Resource and web Service. The database is categorized by the general horse information data, a sequence annotation data, and a world-wide web analysis program interface. The database also provides an easy access for user to find out the useful information within horse genomes and support analyzed information, such as sequence alignment and gene annotation results. HorseDB can be accessed at http://www.primate.or.kr./horse.

• Journal of Families and Better Life
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• v.28 no.4
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• pp.1-13
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• 2010

The purpose of this study is to conduct base line research, which is based on requestion of international married immigrant women, for developing social adaptation and family enrichment program for those population who reside in Korea. The survey questionnaire was distributed to 142 international married immigrant women who reside in Seoul to research program participate satisfaction and requestion. Analyze the study results, frequency, percentage, t-test, ANOVA and Duncan-post test were utilized. As a result, overall satisfaction toward program that offered by organization was highly ranked. Visiting service showed high score of satisfaction but mentor service that strongly possess sacrifice showed lower score of satisfaction. Vocational and job-related skill improvement education presented less satisfied degree of satisfaction but cooking class, computer class, training education for native-speaking instructor present high level of satisfaction. Second, the requisition of target population, who did not participate program, presented lower than the satisfaction, still present high demand of variety area of program. Among them, assist child nurturing and vocational and job- related skill improvement education showed high demand. It enable to predict that they are eager to get support toward parent role and self-realization. Third, when the difference were analyzed to compare the subjective judgement toward life adaptation in Korea and the satisfaction for program user and the requisition of non-user, the meaningful differences were founded; especially, individuals who possess confident degree of computer skills and Korean(reading, speaking, and listening) showed higher degree of satisfaction to vocation and job-skill related improvement education. This study has a practical implication, which is based on the study results, on developing a program to support international married immigrant women and multicultural families to satisfactory settlement in Korea life and to maintain healthy families.

• KIEAE Journal
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• v.13 no.6
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• pp.55-65
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• 2013

Korean Government has developed Sejong City as a new administration city. This city of future was planned and designed toward one of the most eco-friendly city on the basis of ICTs. To attain this object, a carbon emission monitoring system (CEMS) was designed and installed as a part of u-city service which provides various information anytime and anywhere to enrich the people's quality of life. In this paper, at first, the structure and functions of CEMS are introduced. This system is consist of 5 parts - data collection from user and linked public DBs, transforming data into meaningful information for the policy makers, system-user interfacing via statistical tables and graphs, and system maintenance. This system can be operated by the citizen participation through whole the process. With the help of GIS map and graphic interface, statistics of monitored data for both citizen and decision maker provided and after feed-back, they have affected on the behaviour of citizen's energy consumption and related policy as well. By the CEMS, energy consumption data of 124 agreed households were collected during 9 months in 2012. Electricity, gas and water consumption were remote-metered automatically by the system and analysed. This showed that more than 85% of CO2 emission is rely on electricity usage. Furthermore, number of family members and size of house influences on the emission of CO2 by each household together with the life-style of the occupants. Electricity and water consumption showed the seasonal factor while gas consumption represents the number of family members. Even this paper has limitations caused by 9 months of data collection, it shows the policy directions to reduce the emission of CO2 focusing on the house size and number of family members of each households. With the result of this research, life-style of the generation of dwellers should be investigated and the CO2 emission characteristics of other housing type as well for the data building for future policy making.

• Journal of Korean Society of Steel Construction
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• v.15 no.4 s.65
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• pp.341-358
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• 2003

This paper proposed a general formulation of Life-Cycle Cost (LCC) models and LCC effective design system models of steel bridges suitable for practical implementation. An LCC model for the optimum design of steel bridges included initial cost and direct/indirect rehabilitation costs of a steel bridge as well as repair/replacement costs, loss of contents or fatality and injury losses, road user costs, and indirect socioeconomic losses. The new road user cost model and regional socioeconomic losses model were especially considered because of the traffic network. Illustrative design examples of an actual steel box girder and an orthotropic steel deck bridge were discussed to demonstrate the LCC effectiveness of the design of steel bridges. Based on the results of the numerical investigation, the LCC-effective optimum design of steel bridges based on the proposed LCC model was found to lead to a more rational, economical, and safer design compared with the initial cost-optimum design and the conventional code-based design.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.795-801
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• 2013

As the life which existed only offline has changed into a life part of which is led online, it is an important problem to identify whether an online user is legitimate one or not. Biometric authentication technology was developed to identify the user more correctly either online or in offline daily life. Biometric authentication is a technology where a person is identified by his or her unique characteristics, and is highlighted as a next-generation authentication technology replacing password. There are various kinds of traits unique to each individual, and biometric authentication technologies drawing on such traits use various devices and algorithms. Firstly, this paper classified such various biometric authentication technologies, and analyzed the effects of them when they are applied on smartphone, smartwatch and M2M of the different devices platforms. Secondly, it suggested the effectiveness-based AIB(Authentication for Integrated Biometrics) authentication technique, a comprehensive authentication technique, which can be used in different devices platforms. We have successfully included the establishment scheme of the effectiveness authentication using biometrics.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.2
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• pp.223-232
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• 2014

Life-cycle assessment (LCA) is often employed to quantify the environmental impact of a product in a comprehensive manner. The aspects of performance and usability as well as that of eco-friendliness should be considered in an integrated manner for the market competitiveness of an eco-friendly product. The present study developed a product improvement plan for an eco-friendly electric heater by benchmarking two small-size electric heaters (companies 'H' and 'T') in terms of performance, usability, and eco-friendliness. The performance measurements such as temperature, humidity, wind speed, noise, and power consumption were collected while the two heaters were operated in a laboratory setting. Then, the usability evaluations such as aesthetics, operation satisfaction, performance satisfaction, and overall satisfaction were surveyed for the two heaters using a 5-point scale (1 for very unsatisfied and 5 for very satisfied). Lastly, the LCA analysis was conducted by following the six-step process of eco-friendly product design provided by KEITI. The analysis results of the two products being integrated with the aspects of product, service, and user, four design improvement directions such as eco-efficient, smart, modularized, and user-support were recommended for an eco-friendly electric heater. These proposed concepts would be useful to develop an eco-friendly electric heater design with a high level of market competitiveness.

• Korean Journal of Clinical Pharmacy
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• v.33 no.1
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• pp.51-61
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• 2023

Background: Mobile applications (apps) on dietary supplements can increase consumers' access to information. However, it can lead to indiscriminate use of dietary supplements. This study aims to systematically review dietary supplement apps released in English and Korean and evaluate the quality of those apps. Methods: Through the app stores, apps on dietary supplements were systemically searched and examined. Two independent evaluators evaluated the apps and presented a mean score using the Mobile App Rating Scale (MARS). The correlation between MARS scores, user and evaluator ratings, and the number of secondary features of the apps were analyzed. Results: Of the 2,772 dietary supplement apps identified, 17 apps were included according to the selection criteria. The mean MARS score was 3.28 (standard deviation: 0.29) out of 5. Apps had higher scores in aesthetics and functionality dimensions, while engagement and information dimensions had lower scores. There was a positive correlation between the number of app downloads and information among MARS dimensions. The subjective evaluation also correlated with the information dimension. There was a positive correlation between the secondary features of the apps and MARS total score as well as the engagement dimension. Conclusion: The dietary supplement apps need to be managed at a higher level of quality to provide safe and reliable information to consumers. Especially, quality on information and engagement dimensions can be improved. Involvement of healthcare professionals in the app development, management with adequate referencing of information, and use of secondary features for enhanced user engagement can be helpful.

• Journal of Families and Better Life
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• v.27 no.3
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• pp.201-212
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• 2009

The purpose of research is to investigate patterns and diffusion of consumer participation on Internet UCC based on digital contents services. A sample survey of internet users was conducted, responses were collected from 629 respondents and consumer streaming data were analyzed. Some of the practical implications of the results are follows. Research can find out that patterns of user participation in UCC. The major genres of UCC are like daily lives of individuals, humors, parodies of star entertainers and types of contents like still pictures or images, texts are relatively highly generated comparing with multimedia UCC. Although participants have been being increased in UCC recently, the consumers as prosumers who are classified in contents generating group are ten percents at the most. In generating community-based UCC such as posting answers of questions and activities in Blog, prosumers who are in contents making group(recreational group) show more positive attitudes than simple participants(consuming only). The results of multiple regression analysis indicated that fun & entertainment, arousal, self-expression, user friendly web interface variable commonly posited a significant effect in multimedia UCC Services between two groups. Information sharing and perceived usefulness posited a significant effect in recreational group.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.5
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• pp.93-99
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• 2009

The wearable computer that can understand the context of human life and intelligently communicate with various electronic media in ubiquitous computing environment would be very useful as an assistant for humans. In this paper we introduce an intelligent wearable assistance suite. The proposed wearable suite can interact with both humans and electronic media in ubiquitous computing environment. The developed system can sense the interactive electronic media that a user wants to use and also communicate with it. By utilizing these interaction capabilities, it intermediates between each media and the user and offers a friendlier interface to the user who wears this system. We also show the usages of the proposed system by demonstrating its interaction with the interactive electronic media in ubiquitous computing environment.

• IEIE Transactions on Smart Processing and Computing
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• v.3 no.5
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• pp.319-324
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• 2014

Web applications make life more convenient. Many web applications have several kinds of user input (e.g. personal information, a user's comment of commercial goods, etc.) for the activities. On the other hand, there are a range of vulnerabilities in the input functions of Web applications. Malicious actions can be attempted using the free accessibility of many web applications. Attacks by the exploitation of these input vulnerabilities can be achieved by injecting malicious web code; it enables one to perform a variety of illegal actions, such as SQL Injection Attacks (SQLIAs) and Cross Site Scripting (XSS). These actions come down to theft, replacing personal information, or phishing. The existing solutions use a parser for the code, are limited to fixed and very small patterns, and are difficult to adapt to variations. A machine learning method can give leverage to cover a far broader range of malicious web code and is easy to adapt to variations and changes. Therefore, this paper suggests the adaptable classification of malicious web code by machine learning approaches for detecting the exploitation user inputs. The approach usually identifies the "looks-like malicious" code for real malicious code. More detailed classification using sequence information is also introduced. The precision for the "looks-like malicious code" is 99% and for the precise classification with sequence is 90%.