• The Korean Journal of Pesticide Science
• /
• v.16 no.2
• /
• pp.151-162
• /
• 2012

This study was carried out to establish Korean total diet study (TDS) model for estimating pesticide residue in food samples. In addition, pesticide residues of food samples were monitored by setting the standards of established Korean total diet study model. For monitoring, first step were selection of total 102 species food samples, second step were selection of total 70 species food samples, and third step were selection of total 12 representative diet and 109 species food samples. Ninety-eight pesticides were analyzed using $GC-{\mu}ECD$, GC-MS, and LC-MS/MS after QuEChERS sample preparation method. The residue levels in detected food samples were below the maximum residue limit (MRL). Establishment of the Korean total diet study model means providing safe food for consumers, secure the safety of food samples and provide ongoing information to agricultural producers about use of pesticides.

• Journal of dental hygiene science
• /
• v.12 no.3
• /
• pp.227-233
• /
• 2012

The purpose of this study was to examine the relationship of the oral health beliefs of male high school students to their oral health Practices and behavior of male high school students to promote their oral health beliefs and oral health. The subjects in this study were the boys 1, 2 grade who were selected by convenience sampling from three different high schools located in North Jeolla Province. A self-administered survey was conducted from May 20 to June 20, 2010. The collected data were analyzed by SPSS 12.0. The findings of the study were as follows: 1. Regarding oral health beliefs, the most common oral health belief among the students was to consider it necessary to receive dental treatment as early as possible in case of having any dental disease(4.44), and the least dominant oral health belief was to spend a lot of time talking with others about dental treatment(2.73). 2. As a result of analyzing their oral health beliefs according to general characteristics, religion and experiences of visiting dental clinics made statistically significant differences to oral health beliefs(p<0.05). The students who were in the upper grades outdid their counterparts in oral health practices(p<0.01), and those who were religious excelled the others who weren't in that aspect(p<0.001). 3. As for the links between oral health beliefs and oral health practices, the students scored highest in toothbrushing(3.65), and the students whose oral health beliefs were better were statistically significant different from the others whose oral health beliefs were worse in all the toothbrushing, use of oral hygiene supplies, regular dental clinic visit, dietary control and education/interest(p<0.05, p<0.001).

• Journal of the Korean Data and Information Science Society
• /
• v.27 no.5
• /
• pp.1273-1284
• /
• 2016

In this paper, we analyzed the patents on machine learning using keyword network analysis and clique analysis. To construct a keyword network, important keywords were extracted based on the TF-IDF weight and their association, and network structure analysis and clique analysis was performed. Density and clustering coefficient of the patent keyword network are low, which shows that patent keywords on machine learning are weakly connected with each other. It is because the important patents on machine learning are mainly registered in the application system of machine learning rather thant machine learning techniques. Also, our results of clique analysis showed that the keywords found by cliques in 2005 patents are the subjects such as newsmaker verification, product forecasting, virus detection, biomarkers, and workflow management, while those in 2015 patents contain the subjects such as digital imaging, payment card, calling system, mammogram system, price prediction, etc. The clique analysis can be used not only for identifying specialized subjects, but also for search keywords in patent search systems.

• Journal of the Korea Convergence Society
• /
• v.11 no.9
• /
• pp.1-6
• /
• 2020

In this study, we propose an association inference model based on data bias optimization for road hazard detection. This is a mining model based on association analysis to collect user's personal characteristics and surrounding environment data and provide traffic accident prevention services. This creates transaction data composed of various context variables. Based on the generated information, a meaningful correlation of variables in each transaction is derived through correlation pattern analysis. Considering the bias of classified categorical data, pruning is performed with optimized support and reliability values. Based on the extracted high-level association rules, a risk detection model for personal characteristics and driving road conditions is provided to users. This enables traffic services that overcome the data bias problem and prevent potential road accidents by considering the association between data. In the performance evaluation, the proposed method is excellently evaluated as 0.778 in accuracy and 0.743 in the Kappa coefficient.

• Journal of Convergence for Information Technology
• /
• v.11 no.6
• /
• pp.83-98
• /
• 2021

This study identified the influence of employees' hybrid start-up intention (intention to start a business while maintaining a job) on the employees' self-determination motivation (intrinsic motivation, extrinsic motivation) and prior knowledge through the Model of Goal-directed Behavior (MGB). We used a PLS-SEM called SmartPLS 3.0 for 126 valid samples collected by judgement extraction for office workers throughout June 13, 2020 to July 3, 2020, and empirically evaluated the measurement model (internal consistency reliability, convergent and discriminant validity) and the structural model (multicollinearity, determination coefficient, effect size, predictive relevance, etc.). Only the intrinsic motivation for realizing the hybrid start-up goal of office workers had a significant impact on the hybrid start-up attitude and subjective norms, and the prior knowledge of hybrid start-up had a significant impact on the hybrid start-up desire and the hybrid start-up intention. In order to induce hybrid start-ups for workers with unstable employment, we need systems and programs that can inspire employees with intrinsic motivation and knowledge about hybrid start-up, so follow-up researches are necessary to analyze about government systems and consulting support that can promote hybrid start-up.

• The Journal of the Korea Contents Association
• /
• v.21 no.4
• /
• pp.50-59
• /
• 2021

To understand the research trends of English education in Korea for the last 20 years from 2000 to 2019, 12 major academic journals in Korea in the field of English education were selected, and bibliographic information of 7,329 articles published in these journals were collected and analyzed. The total number of articles increased from the 2000s to the first half of the 2010s, but decreased somewhat in the late 2010s and the number of publications by journal has become similar. These results show that the overall influence of English education journals has decreased and then leveled in terms of quantity. Next, 34 topics were extracted by applying latent Dirichlet allocation (LDA) topic modeling using the English abstract of the articles. Teacher, word, culture/media, and grammar appeared as topics that were highly studied. Topics such as word, vocabulary, and testing and evaluation appeared through unique keywords, and various topics related to learner factors emerged, becoming topics of interest in English education research. Then, topics were analyzed to determine which ones were rising or falling in frequency. As a result of this analysis, qualitative research, vocabulary, learner factor, and testing were found to be rising topics, while falling topics included CALL, language, teaching, and grammar. This change in research topics shows that research interests in the field of English education are shifting from static research topics to data-driven and dynamic research topics.

• Journal of Industrial Convergence
• /
• v.20 no.6
• /
• pp.27-35
• /
• 2022

The purpose of this study is to analyze the metaverse-related issues in the news big data from an educational perspective, explore their characteristics, and provide implications for the educational applicability of the metaverse and future education. To this end, 41,366 cases of metaverse-related data searched on portal sites were collected, and weight values of all extracted keywords were calculated and ranked using TF-IDF, a representative term weight model, and then word cloud visualization analysis was performed. In addition, major topics were analyzed using topic modeling(LDA), a sophisticated probability-based text mining technique. As a result of the study, topics such as platform industry, future talent, and extension in technology were derived as core issues of the metaverse from an educational perspective. In addition, as a result of performing secondary data analysis under three key themes of technology, job, and education, it was found that metaverse has issues related to education platform innovation, future job innovation, and future competency innovation in future education. This study is meaningful in that it analyzes a vast amount of news big data in stages to draw issues from an education perspective and provide implications for future education.

• Journal of Korean Society of Archives and Records Management
• /
• v.24 no.2
• /
• pp.139-163
• /
• 2024

This study aims to analyze classification systems used in the public sector, collected based on legislation, and to improve the classification system for public records. From the Korean Law Information Center, 375 legislative clauses were searched, revealing about 80 classification systems. These systems were initially divided into lists, tables, and hierarchical classifications. Six types of classification system uses were proposed after combining three management types and two system functions. Among these models, classification systems used for core operations in public agencies often had the same entity as both developer and user. While systems adopted from other institutions were often modified as needed, they were predominantly used for reference tasks rather than core operations. However, in records management, crucial tasks such as record classification and disposal commonly use unmodified classification system items developed and managed by other agencies. Consequently, this study proposes that structural improvements are necessary for the record classification system. It suggests developing dedicated classification systems to support core functions or modifying existing systems and also applying records management disposal standards and guidelines to other relevant legislative provisions.

• Journal of Distribution Science
• /
• v.7 no.4
• /
• pp.47-56
• /
• 2009

The purpose of this study is to present an alternative improving the efficient and reasonable of the physical distribution system management is influenced by many factors. Therefore, the study depends on the documentary method and survey method to achieve the purpose of this study. The major components of a physical distribution system are refers to as elements, include warehouse·storage system, transportation system, inventory system, physical distribution information system. The factors used in this study are ① factor of product(quality·A/S·added value of product·adaption of product·technical competitive power to other enterprises), ② factor of market(market channel·kinds of customer·physical distribution share), ③ factor of warehouse·storage(warehouse design·size·direction·storage ability·warehouse quality), ④ factor of transportation(promptness·reliability·responsibility·kinds of transportation·cooperation united transportation system·national transportation network), ⑤ factor of packaging (packaging design·material·educating program·pollution degree measure program), ⑥ factor of inventory(ordinary inventory criterion·consistence for inventories record), ⑦ factor of unloaded(unloaded machine·having machine ratio), ⑧ factor of information system (physical distribution quantity analysis·usable computer part), ⑨ factor of physical distribution cost(sales ratio to product) ⑩ factor of physical distribution system(physical distribution center etc). The implication of this study can be summarized as follows: ① In firms that have not adopted a systems integrative approach, physical distribution is a fragmented and often uncoordinated set of activities spread throughout various functions with function having its own set of priorities and measurements. ② The physical distribution is recognized as more an important strategic factor than a simple cost reduction factor, ③ It can be used a strategic competition tool to enterprise.

• Journal of Hospice and Palliative Care
• /
• v.5 no.2
• /
• pp.136-145
• /
• 2002

Purpose : This study was designed to develop an instrument that could be used for comprehensive and effective need assessment for patients with cancer. Methods : In the first phase, a conceptual framework for the instrument was established by Wingate & Lackey (1989). In the second phase, the preliminary instrument was drawn up through a review of the literature and in consultation with three professors in Nursing. In the third phase validity and reliability of the preliminary instrument were tested as follows; 1) an expert validity test of the preliminary instrument was done by nine head nurses and charge nurses who had over ten years experience caring for patients with cancer at Wonju Christian Hospital. 2) A construct validity test and reliability test was done for the instrument by 116 staff nurses selected by convience sampling from hospitals located in Kang-Won, Kyoung-Ki, and Choong-Chung Provinces. The collected data were analyzed using SPSS 10.0 WIN program. For the factors of the instrument, factor analysis was used. The reliability of the scale was analyzed by Cronbach's alpha. Results : The results of the experts' test of validity, showed that, of 32 items, only one item had less than 55.4%. It was then deleted and a total of 31 items was selected. On the basis of the results of the factor analysis, the following six components were identified: physiological, informational, spiritual, and emotional needs, available resources, and legal/financial needs. These factors explained 61.8% of the variance. In the factor analysis, the first factor (physiological needs) and the second factor (informational needs) explained 25.4% and 10.9% of the variance respectively, which were major factors for the needs of patients with cancer in Korea. Cronbach' alpha for the scale was .90 indicating internal reliability. Conclusion : This instrument can be effectively utilized for assessment of needs of patients with cancer in Korea. Use of the needs assessment instrument developed in this study will allow nurses to develop nursing interventions that provide comprehensiveness and continuity in meeting the needs of patients with cancer.