• Journal of the Korea Convergence Society
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• v.6 no.5
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• pp.257-274
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• 2015

The purpose of the current study was to validate Fetzer Institute & National Institute on Aging Working Group[NIA](1999)'s Brief-Multidimensional Measure of Religiousness/Spirituality Scale (BMMRS) in Korean adults. The Korean version of BMMRS, Spiritual Well-Being Scale(SWS), Korean Sprituality Scale(KSS), Penn State Worry Questionnaire(PSWQ), and Intolerance of uncertainty Scale(IUS) were administered to the 286 students and community samples. A principle axis factoring analysis with direct oblimin rotation and Kaiser normalization identified a six-factor solution accounting for 66.24% of the variance in scores, labeled as: positive spiritual experience, negative spiritual experience, forgiveness, religious practices, negative congregational support, and positive congregational support. Confirmatory factor analysis results showed that 6 factor model of BMMRS have a good fitness. Also, the internal consistency(.64~.97) and the test-retest reliablity was adequate.(.72~.88) Korean version of BMMRS has adequate psychometric characteristics so it can be used to verify the effects of various compassion-related psychotherapeutic approaches.

• The Plant Pathology Journal
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• v.32 no.1
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• pp.33-46
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• 2016

In this study, the full-length nucleotide sequences of four Iranian PVY isolates belonging to $PVY^N$ strain were determined. The genome of Iranian PVY isolates were 9,703-9,707 nucleotides long encoding all potyviral cistrons including P1, HC-Pro, P3, 6K1, CI, 6K2, VPg, NIa-Pro, NIb and CP with coding regions of 825, 1,395, 1,095, 156, 1,902, 156, 564, 732, 1,557 and 801 nucleotides in length, respectively. The length of pipo, embedded in the P3 cistron, was 231 nucleotides. Phylogenetic analysis showed that the Iranian isolates clustered with European recombinant NTN isolates in the N lineage. Recombination analysis demonstrated that Iranian $PVY^N$ isolates had a typical European $PVY^{NTN}$ genome having three recombinant junctions while $PVY^N$ and $PVY^O$ were identified as the parents. We used dN/dS methods to detect candidate amino acid positions for positive selection in viral proteins. The mean ${\omega}$ ratio differed among different genes. Using model M0, ${\omega}$ values were 0.267 (P1), 0.085 (HC-Pro), 0.153 (P3), 0.050 (CI), 0.078 (VPg), 0.087 (NIa-pro), 0.079 (NIb) and 0.165 (CP). The analysis showed different sites within P1, P3 and CP were under positive selection pressure, however, the sites varied among PVY populations. To the best of our knowledge, our analysis provides the first demonstration of population structure of $PVY^N$ strain in mid-Eurasia Iran using complete genome sequences and highlights the importance of recombination and selection pressure in the evolution of PVY.

• Toxicological Research
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• v.6 no.2
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• pp.167-182
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• 1990

Dietary restriction (caloric restriction) is the only intervention which has been reliably shown to extend the maximum life span of warm-blooded animals and delay the many phenomena associated with aging. It is also one of the most effective modulators of toxicity, especially cancer endpoints. In spite of the known modulator effects of caloric restriction, the biological mechanisms responsible for these effects had not been in vestigated until recently. The National Center for Toxicological Research (NCTR), in a collaborative effort with the National Institute of Aging (NIA), initiated a project whereby nine (9) combinations of rodent species/strains and diets were fed both restricted and ad libitum. The NIA's initiative was to identify biomarkers of aging whereas NCTR's initiative was to identify the biological effects associated with the profound effects caloric restriction has in protecting against both spontaneous (age-related) and chemically-induced toxic endpoints. Independent of sex or species, caloric restriction has similar effects on body temperature, oxygen consumption and $CO_2$production. Caloric restriction also decreased lipid glycolysis and metabolism in rats and mice, which suggest decreased production of metabolites which could lead to fatty acid epoxide formation. The age-associated loss of ciradian regulation of intermediate enzymes is also significantly reduced. Moreover, caloric restriction reduced the age-associated feminization of sexually dimorphic liver isozymes, increased several glucocorticoid responsive isozymes, elevated glucagon/insulin ratios, produced less microsomal superoxide and enhanced the capacity for utilzing detoxicating metabolic pathways. Calorically restricted rats have less than half the number of aflatoxin ($AFB_1$)-DNA adducts than ad libitum animals and urinary excretion of $AFB_1$ was increased significantly. Finally, DNA repair mechanisms are enhanced and oncogene expression is decreased in calorically restricted animals.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.9
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• pp.1259-1265
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• 2022

Recently, AI, big data, and IoT technologies are being used in various solutions such as fire detection and gas or dangerous substance detection for safety accident prevention. According to the status of occupational accidents published by the Ministry of Employment and Labor in 2021, the accident rate, the number of injured, and the number of deaths have increased compared to 2020. In this paper, referring to the dataset construction guidelines provided by the National Intelligence Service Agency(NIA), the dataset is directly collected from the field and learned with YOLOv4 to propose a collision risk object detection system through object detection. The accuracy of the dangerous situation rule violation was 88% indoors and 92% outdoors. Through this system, it is thought that it will be possible to analyze safety accidents that occur in industrial sites in advance and use them to intelligent platforms research.

• Journal of the Society of Disaster Information
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• v.19 no.4
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• pp.968-975
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• 2023

Purpose: We would like to confirm that the false positive rate of flames/smoke is high when detecting fires. Propose a method and dataset to recognize and classify fire situations to reduce the false detection rate. Method: Using the video as learning data, the characteristics of the fire situation were extracted and applied to the classification model. For evaluation, the model performance of Yolov8 and Slowfast were compared and analyzed using the fire dataset conducted by the National Information Society Agency (NIA). Result: YOLO's detection performance varies sensitively depending on the influence of the background, and it was unable to properly detect fires even when the fire scale was too large or too small. Since SlowFast learns the time axis of the video, we confirmed that detects fire excellently even in situations where the shape of an atypical object cannot be clearly inferred because the surrounding area is blurry or bright. Conclusion: It was confirmed that the fire detection rate was more appropriate when using a video-based artificial intelligence detection model rather than using image data.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.143-159
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• 2015

Predicting IT trends has been a long and important subject for information systems research. IT trend prediction makes it possible to acknowledge emerging eras of innovation and allocate budgets to prepare against rapidly changing technological trends. Towards the end of each year, various domestic and global organizations predict and announce IT trends for the following year. For example, Gartner Predicts 10 top IT trend during the next year, and these predictions affect IT and industry leaders and organization's basic assumptions about technology and the future of IT, but the accuracy of these reports are difficult to verify. Social media data can be useful tool to verify the accuracy. As social media services have gained in popularity, it is used in a variety of ways, from posting about personal daily life to keeping up to date with news and trends. In the recent years, rates of social media activity in Korea have reached unprecedented levels. Hundreds of millions of users now participate in online social networks and communicate with colleague and friends their opinions and thoughts. In particular, Twitter is currently the major micro blog service, it has an important function named 'tweets' which is to report their current thoughts and actions, comments on news and engage in discussions. For an analysis on IT trends, we chose Tweet data because not only it produces massive unstructured textual data in real time but also it serves as an influential channel for opinion leading on technology. Previous studies found that the tweet data provides useful information and detects the trend of society effectively, these studies also identifies that Twitter can track the issue faster than the other media, newspapers. Therefore, this study investigates how frequently the predicted IT trends for the following year announced by public organizations are mentioned on social network services like Twitter. IT trend predictions for 2013, announced near the end of 2012 from two domestic organizations, the National IT Industry Promotion Agency (NIPA) and the National Information Society Agency (NIA), were used as a basis for this research. The present study analyzes the Twitter data generated from Seoul (Korea) compared with the predictions of the two organizations to analyze the differences. Thus, Twitter data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. To overcome these challenges, we used SAS IRS (Information Retrieval Studio) developed by SAS to capture the trend in real-time processing big stream datasets of Twitter. The system offers a framework for crawling, normalizing, analyzing, indexing and searching tweet data. As a result, we have crawled the entire Twitter sphere in Seoul area and obtained 21,589 tweets in 2013 to review how frequently the IT trend topics announced by the two organizations were mentioned by the people in Seoul. The results shows that most IT trend predicted by NIPA and NIA were all frequently mentioned in Twitter except some topics such as 'new types of security threat', 'green IT', 'next generation semiconductor' since these topics non generalized compound words so they can be mentioned in Twitter with other words. To answer whether the IT trend tweets from Korea is related to the following year's IT trends in real world, we compared Twitter's trending topics with those in Nara Market, Korea's online e-Procurement system which is a nationwide web-based procurement system, dealing with whole procurement process of all public organizations in Korea. The correlation analysis show that Tweet frequencies on IT trending topics predicted by NIPA and NIA are significantly correlated with frequencies on IT topics mentioned in project announcements by Nara market in 2012 and 2013. The main contribution of our research can be found in the following aspects: i) the IT topic predictions announced by NIPA and NIA can provide an effective guideline to IT professionals and researchers in Korea who are looking for verified IT topic trends in the following topic, ii) researchers can use Twitter to get some useful ideas to detect and predict dynamic trends of technological and social issues.

• Journal of Information Technology Services
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• v.12 no.4
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• pp.219-234
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• 2013

We introduced a framework of information systems audit methodology and applied to IS projects based on RFID/USN in six public organizations in South Korea. An analysis of five IS implementation projects shows the iterative technical specific risks are disclosed. The key 14 risk factors categorized into 4 classifications (Project Management, application, database, system architecture) which are based on the established IT audit framework in order to extend to the technology (RFID/USN) specific framework and apply to the other case as well. The implications of these findings for audit research and practice are discussed.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.1055-1065
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• 2008

인터넷의 발전과 보급으로 대용량 데이터전송이 가능해짐에 따라 디지털 콘텐츠 이용이 급격히 확산되고 있다. 이에 따라 디지털 콘텐츠관련 유통시장의 규모도 지속적으로 성장하고 있는 추세이며 우리나라를 비롯하여 선진국가들은 디지털 콘텐츠산업에 대해 관심을 가지고 선점을 위한 노력을 기울이고 있다. 이중 유통되는 수많은 디지털 콘텐츠를 식별하는 메터데이터 표준의 설정은 중요한 이슈중 하나이다. 한국정보사회진흥원(NIA)은 국내 디지털 콘텐츠산업 발전을 위한 유통인프라로써 UCI(Universal & Ubiquitous Content Identifier) 표준식별체계를 개발하여 보급하고 있으며 2008년 현재 SBSi를 비롯한 9개 공공 및 민간기관들이 UCI를 적용하여 디지털 콘텐츠를 서비스하고 있다. 본 연구는 UCI를 적용한 9개 기관의 적용사례에 대해서 도입배경과 필요성, 의사 결정과정 및 기대효과 등 다양한 관점에서 분석을 실시하였다. 이를 통해서 디지털 콘텐츠 관련 기업의 식별체계 도입 및 활용과 관련한 의사결정 및 디지털 콘텐츠 정책 추진에 주요 시사점을 제공하고자 한다.

• 한국정보통신설비학회:학술대회논문집
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• 2007.08a
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• pp.163-166
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• 2007

This paper describes a IPv6 trial service provided by LG DACOM and discusses about the output of trial service. MIC has urged public organizations to introduce IPv6 technology into their network. As one of propelling policies, MIC and NIA launched some IPv6 trial project. LG DACOM, MIC's agent in doing IPv6 trial project, has selected three public organizations in order to deploy IPv6 based VoIP trial service. KMA, KISITI and MND gave out their different service requirements. In achieve this project we developed IPv6 supported voice IP phone, video IP phone, media gateway and IP-PBX. Furthermore, two KMA provincial offices adopted trial IP phone as working phone and replaced legacy PBX with IP-PBX. At the same time, public organizations introduced IPv6 technology into their local networks.

• Steel and Composite Structures
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• v.29 no.1
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• pp.67-75
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• 2018

High performance concrete (HPC) depends on various parameters such as the type of cement, aggregate and water reducer amount. Generally, the ready concrete company in various regions according to the requirements and costs, mix design of concrete as well as type of cement, aggregates, and, amount of other components will vary as a result of moment decisions or dynamic optimization, though the ideal conditions will be more applicable for the design of mix proportion of concrete. This study aimed to apply dynamic optimization for mix design of HPC; consequently, the objective function, decision variables, input and output variables and constraints are defined and also the proposed dynamic optimization model is validated by experimental results. Results indicate that dynamic optimization objective function can be defined in such a way that the compressive strength or performance of all constraints is simultaneously examined, so changing any of the variables at each step of the process input and output data changes the dynamic of the process which makes concrete mix design formidable.