• Journal of Digital Convergence
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• v.16 no.9
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• pp.147-157
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• 2018

Since Google launched a prediction service for influenza-like illness(ILI), studies on ILI prediction based on web search data have proliferated worldwide. In this regard, this study aims to build short-term predictive models for ILI in Korea using ILI and web search data and measure the performance of the said models. In these proposed ILI predictive models specific to Korea, ILI surveillance data of Korea CDC and Korean web search data of Google and Naver were used along with the ARIMA model. Model 1 used only ILI data. Models 2 and 3 added Google and Naver search data to the data of Model 1, respectively. Model 4 included a common query used in Models 2 and 3 in addition to the data used in Model 1. In the training period, the goodness of fit of all predictive models was higher than 95% ($R^2$). In predictive periods 1 and 2, Model 1 yielded the best predictions (99.98% and 96.94%, respectively). Models 3(a), 4(b), and 4(c) achieved stable predictability higher than 90% in all predictive periods, but their performances were not better than that of Model 1. The proposed models that yielded accurate and stable predictions can be applied to early warning systems for the influenza pandemic in Korea, with supplementary studies on improving their performance.

• Journal of Korean Society of Water and Wastewater
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• v.35 no.3
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• pp.237-246
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• 2021

The ILI, developed by the IWA (International Water Association), has been used in many countries as an indicator of water leakage. In Korea, the revenue water has been used as a performance indicator for waterworks although there is an opinion to replace it with the ILI. Hence, it has been necessary to investigate whether the ILI can replace the revenue water in Korea. The four main operating indicators (i.e., water service population, profit-loss ratio, fiscal self-reliance, and aged pipe rate) of 162 Korean waterworks were compared with the ILI with the linear regression method. Local water authorities with more than 1 million water service population, with more than 60% profit-loss ratio, more than 40% and less than 60% fiscal self-reliance, and more than 20% aged pipe rate showed meaningful correlation between the four parameters and the ILI. In the remaining cases, their correlations were little or weak. This means that using the ILI may not be an efficient method to represent the performance of the water supply system in Korea because of the lack of UARL (Unavoidable Annual Real Losses) data accuracy. To use the ILI in Korea, it will be required to carry out an additional research to accumulate reliable CARL (Current Annual Real Losses) and UARL data in the future.

• Journal of the Korean Institute of Gas
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• v.15 no.1
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• pp.15-21
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• 2011

Cost-benefit analysis (CBA) has been performed in order to decide whether the ILI (in-line inspection) suggested as risk mitigation measure (RMM) from quantitative risk assessment is reasonably practicable. As a result of CBA, we could find out the reasonable intervals of implementation of ILI. In order to assess the benefit, value of preventing a fatality (VPF), which measures value of human life, has been used. The adequate VPF figure of high pressure urban gas pipelines for CBA used in this paper is two billion won. As a result of 2 case studies, we found that the most reasonable intervals of ILI suggested as RMM were 13 years or 15 years.

• Koreanishche Zeitschrift fur Deutsche Sprachwissenschaft
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• v.6
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• pp.323-344
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• 2002

EuroNet ist eine multilinguale Datenbasis mit WordNets $f\"{u}r\;einige\;europ\"{a}ische$ Sprachen ($holl\"{a}ndisch$, italienisch, spanisch, deutsch, $franz\"{o}sisch$, tschechisch und estnisch). Die WordNets werden genauso wie das amerikanische WordNet $f\"{u}r$ Englisch (Princeton WordNet, Miller et al. 1990) in Synsets (Zusammensetzen der synonymen $W\"{o}rter$) mit grundlegenden lexikalisch-semantischen Relationen zwischen ihnen $ausgedr\"{u}ckt$ strukturiert. Jedes WordNet stellt also ein einzigartiges innersprachliches System $f\"{u}r$ die lexikalischen und konzeptuellen Relationen dar. $Zus\"{a}tzlich$ werden diese auf dem Princeton WordNet basierten WordNets (z.B. GermaNet) mit einem Inter-Linguale-Index (kurz, ILI) verbunden. $\"{U}ber$ diesem Index werden die Sprachen zusammengeschaltet, damit zu gehen ist $m\"{o}glich$, von den $W\"{o}rtern$ in einer Sprache zu den $\"{a}hnlichen\;W\"{o}rtern$ in jeder $m\"{o}glicher$ anderen Sprache. Der Index gibt auch Zugang zu einer geteilten Top-Ontologie von 63 semantischen Unterscheidungen. Diese Top-Ontologie stellt einen allgemeinen semantischen Rahmen $f\"{u}r$ aile Sprachen zur $Verf\"{u}gung,\;w\"{a}hrend$ sprachspezifische Eigenschaften in den einzelnen WordNets beibehalten werden. Die Datenbasis kann, unter anderen, $f\"{u}r$ einsprachige und multilinguale Informationsretrieval benutzt werden. In der vorliegenden Arbeit handelt sich also um eine methodologische Untersuchung der koreanisch-deutschen ILI-Verbindung zur Anwendung der auf dem EuroNet basierten lexikalischen, semantischen Datenbasis. Dabei werden einzelnen Lexeme in koreanischen, deutschen WordNets $zun\"{a}chst$ mit Hilfe der Sense-Analyse semantisch differenziert, und dann durch lexikalische und konzeptuelle Relationen(ILI) miteinander verbunden. Die Equivalezverbindungen dienen, sprachspezifische Konzepte zum ILI abzubilden. Sie werden von einem anderen Synset der moglichen Relationen aus der Euronet-Spezifikation genommen. Wenn es keinen ILI-Rekord gibt, der ein direktes Equivalenz zu einem gegebenen Konzept darstellt, kann das Konzept in der Frage $\"{u}ber$ EQ-Near-Synonymie, EQ-Hyperonymie oder EQ-Hyponymie Relationen verbunden werden.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.1
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• pp.117-133
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• 2011

This research looks into the theory and practice of interconnections that exist between information literacy instruction(ILI) and writing instruction to gain further insights related to the development and forming of Korean ILI program. First of all, as evidenced by the ambiguity and various concepts that are possessed by the information literacy, this paper clearly indicates that the ILI cannot be achieved with a standardized set of guidelines across the board. And then, after investigating into the theories which deal mainly with the relativity to writing amongst the various ILI programs, this paper introduces precedents of Utah University, USA and Windsor University, Canada which have carried out writing instruction by actually connecting it with the ILI. Finally, this paper sounds out the possibility of connections or cooperation between writing and ILI within the scope of the Korean situation and suggests alternatives.

• Journal of the Korea Society for Simulation
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• v.23 no.4
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• pp.31-39
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• 2014

Seasonal influenza epidemics cause 3 to 5 millions severe illness and 250,000 to 500,000 deaths worldwide each year. To prepare better controls on severe influenza epidemics, many studies have been proposed to achieve near real-time surveillance of the spread of influenza. Korea CDC publishes clinical data of influenza epidemics on a weekly basis typically with a 1-2-week reporting lag. To provide faster detection of epidemics, recently approaches using unofficial data such as news reports, social media, and search queries are suggested. Collection of such data is cheap in cost and is realized in near real-time. This research aims to develop regression models for early detecting the outbreak of the seasonal influenza epidemics in Korea with keyword query information provided from the Naver (Korean representative portal site) trend services for PC and mobile device. We selected 20 key words likely to have strong correlations with influenza-like illness (ILI) based on literature review and proposed a logistic regression model and a multiple regression model to predict the outbreak of ILI. With respect of model fitness, the multiple regression model shows better results than logistic regression model. Also we find that a mobile-based regression model is better than PC-based regression model in estimating ILI percentages.

• Journal of the Korean Society for Library and Information Science
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• v.37 no.1
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• pp.43-60
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• 2003

Information Literacy Instruction(ILI) is recognised with essential role of the school library, as information use ability appears with one literacy in knowledge and information society. The successful ILI is necessary teaching and teaming model of student's activities that it provides the various experience, to motivate, to promote positive participation. Consequently, this study is developed to teaching and teaming model of student's activity through Multiple Intelligences which emphasizes to human's multi dimension and activities.

• Journal of Korean Library and Information Science Society
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• v.47 no.3
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• pp.115-137
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• 2016

The research objectives of this study are twofold: to analyze affective dispositions in both 'Standards for the 21st-Century Learner(AASL, 2007)' and 'Framework for Information Literacy for Higher Education(ACRL, 2015)'; and to look for implications from the two documents in information literacy instruction(ILI). A total of 18 and 38 affective dispositions were found in AASL(2007) and ACRL(2015) documents respectively. This study mainly discusses sequencing affective objectives and assessment techniques for the ILI. The affective dispositions found from the two documents will be a cornerstone of ILI in K-20.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.4
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• pp.133-144
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• 2011

To measure the state of instructional programs in school libraries revitalized by the MEST project, teacher-librarians who are members of a provincial library education research committee were asked to respond to a survey and phone interview. The results illustrate that both teacher-librarians and classroom teachers lack a comprehensive understanding of information literacy(IL), and that information literacy instruction(ILI) was implemented in less than half of the surveyed schools. Even in those schools where ILI was implemented, the curriculum was underdeveloped, frequently consisting of little more than basic library orientation programs. The lack of understanding regarding ILI by classroom teachers was specified as a major barrier.

• Safety and Health at Work
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• v.13 no.4
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• pp.507-511
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• 2022

Law enforcement officers (LEOs) often encounter rapidly changing and uncontrolled situations that expose them to various hazards. A law enforcement agency requested an evaluation by the National Institute for Occupational Safety and Health (NIOSH) when multiple LEOs reported illness after executing a search warrant and taking a suspect into custody. NIOSH investigators interviewed LEOs and reviewed medical records, forensic laboratory results for collected evidence, and environmental testing results of samples taken after the operation. Two-thirds (25 of 38) of LEOs who participated in the operation reported ≥1 symptom. Eleven LEOs met a case definition for influenza-like illness (ILI). Members of one unit were more likely to have ILI than non-members (prevalence ratio (PR), 4.1; 95% confidence interval (CI): 1.3-13.0; p = 0.01). Influenza vaccination was associated with a lower prevalence of ILI (PR, 0.2; 95% CI, 0.1-0.9; p = 0.02). Preventing employees from working while ill and annual influenza vaccination might prevent similar occurrences.