• Journal of Korean Library and Information Science Society
• /
• v.50 no.4
• /
• pp.339-358
• /
• 2019

The purpose of this study is to understand the topics of the research for the establishment of cooperative platform between libraries, archives, and museums that carry out the common task of providing knowledge information in a broad sense. To achieve the purpose of this study, 637 bibliographic information on three institutions were collected from the Web version of Scopus database. Among the collected bibliographic information, 5,218 words were extracted through NetMiner V.4 and analysed topic modeling. The results are as follows: First, as a result of analyzing the frequency of word appearance according to the tf-idf weight 'Preservation' was the most hottest topic. Second, the topic modeling analysis through LDA(Latent Dirichlet Allocation) algorithm resulted in 13 topic areas. Third, as a result of expressing 13 topic areas as a network, repository construction was the central topic, and the research topics such as cooperation among institutions, conservation environment for collections, system and policy discovery, life cycle of collections, exhibition of information resources, and information retrieval were closely related to the central topic. Fourth, the trend of 13 topic areas by year 1998 is limited to the specific subjects such as system and policy discovery, information retrieval, and life cycle of collections, while the subsequent studies have been carried out after that year.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.7
• /
• pp.627-634
• /
• 2017

The purpose of this study was to investigate the effects of elementary school students' stress and social support on smartphone addiction and school adjustment. Our hypothesis is that stress and social support of elementary school students affects smartphone addiction and school adjustment. In addition, the study model assumes that stress and social support of elementary school students were mediated by the effects of smartphone addiction. Analysis results found that elementary school students' stress affects smartphone addiction and school life adaptation, and social support influences school life adaptation. Elementary students' smartphone addiction has little influence on school life adjustment. Stress in elementary school students has a strong influence on smartphone addiction, social support, and adaptation to school life. In other words, higher stress levels results in higher frequency of use of smartphones, which may directly affect smartphone addiction and the ability to adapt to school life. The effects of stress and social support of elementary school students on school life adaptation and smartphone addiction were ultimately indirect. Based on the research results, this study suggests policy implications for elementary school students' addiction to smartphone and ability to adapt to school life.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.2
• /
• pp.311-317
• /
• 2018

The purpose of this study is to identify the needs of the nursery director, teachers, parents, and the general public regarding the use of mandatory CCTV. In other words, we will examine the benefits, problems, and solutions of mandatory CCTV. The subjects of this study included families, private day care centers, private presbytery, kindergartens, teachers, parents and the general public in D metropolitan city. The research tools were modified and supplemented questionnaires appropriately for the study purpose with reference to the previous research. Collected data was analyzed by frequency and F-test using SPSS 21.0 program. The main results of this study are as follows: First, the benefits of mandatory CCTV for daycare centers is that CCTV becomes objective evidence of human rights incidents, identifies violence among children, and can take measures. In addition, mandatory CCTV can also reduce or prevent abuse. Second, major problems concerning the mandatory use of nursery school CCTV include privacy, violation of basic rights, and education. CCTV is a stressful factor that causes teachers to feel embarrassed, uncomfortable, and tense. Third, the main improvement measures for the nursery school CCTV mandate are to prevent unfair staff and complement existing guidelines for CCTV use. Based on the results of the study, we detail the benefits, problems, and solutions for the nursing home CCTV mandatory poli.

• Journal of Environmental Science International
• /
• v.4 no.4
• /
• pp.367-377
• /
• 1995

The study of flocculation kinetics is of fundamental interest in the field of water treatment, because rational study of the factors affecting the coagulation process should be based on the rate of particle growth. The effect of sulfate on flocculation kinetics were examined using ferric nitrate as a coagulant to coagulate kaolin clay in water under several experimental conditions. Both the particle size distribution data obtained from the AIA and the on-line measurement of turbidity fluctuation by the PDA were used to measure flocculation kinetics. Results show that sulfate ion added to the kaolin suspension played an important role in the flocculation process, not only improving flocculation kinetics at more acidic pH levels but also changing surface charge of particles. The kinetics of flocculation were improved mainly by the enhanced rate and extent of Fe(III) precipitation attributed to the addition of sulfate, and thereby, better interparticle collision frequency, but little by the charge reductions resulting from the sulfate addition. The increase in sulfate concentration beyond $3\times10^{-4}M (up to 2\times10^{-3}M)$ did not induce further improvement in flocculation kinetics, although the higher concentrations of sulfate ion substantially increased the negative ZP value of particles. Key Words : Flocculation Kinetics, Fe(III) Coagulant, Sulfate ion, Turbidity Fluctuation.

• Journal of Convergence for Information Technology
• /
• v.7 no.6
• /
• pp.35-43
• /
• 2017

The purpose of this study was to analyze the converged influencing factors on the stages of exercise behavior changes in shift work nurses. The subjects were 120 shift work nurses working in hospitals who understood the purpose of the study and agreed to participate in the study. Data were analyzed using frequency, percentage, mean, standard deviation, t-test, $X^2$ test, and multiple logistic regression analysis. The exercise motivation factors of shift work nurses had a significant effect on stages of exercise behavior change (${\beta}=2.480$, p=.022), health status perceptions(${\beta}=1.151$, p=.013). Social support factors (${\beta}=1.819$, p=.002) and marital status (${\beta}=-1.820$, p=.004) also had significant effects on the stages of exercise behavior change of shift work nurses. In other words, subjects with change in exercise behavior had 11.9 times higher motivation and 3.1 times higher health status perception than those without change in exercise behavior, social support was 6.1 times higher, and unmarried subjects showed 16 times showed higher than that of married subjects. Therefore, it is important to develop a strategy to practice continuous and regular exercise in consideration of the exercise motivation, social support, and health status perception of the nurses in shift work.

• Journal of Internet Computing and Services
• /
• v.22 no.6
• /
• pp.33-40
• /
• 2021

Automatic Speech Recognition(ASR) is a technology that analyzes human speech sound into speech signals and then automatically converts them into character strings that can be understandable by human. Speech recognition technology has evolved from the basic level of recognizing a single word to the advanced level of recognizing sentences consisting of multiple words. In real-time voice conversation, the high recognition rate improves the convenience of natural information delivery and expands the scope of voice-based applications. On the other hand, with the active application of speech recognition technology, concerns about related cyber attacks and threats are also increasing. According to the existing studies, researches on the technology development itself, such as the design of the Automatic Speaker Verification(ASV) technique and improvement of accuracy, are being actively conducted. However, there are not many analysis studies of attacks and threats in depth and variety. In this study, we propose a cyber attack model that bypasses voice authentication by simply manipulating voice frequency and voice speed for AI voice recognition service equipped with automated identification technology and analyze cyber threats by conducting extensive experiments on the automated identification system of commercial smartphones. Through this, we intend to inform the seriousness of the related cyber threats and raise interests in research on effective countermeasures.

• Information Systems Review
• /
• v.24 no.1
• /
• pp.21-37
• /
• 2022

Drug repositioning, one of the methods of developing new drugs, is a useful way to discover new indications by allowing drugs that have already been approved for use in people to be used for other purposes. Recently, with the development of machine learning technology, the case of analyzing vast amounts of biological information and using it to develop new drugs is increasing. The use of machine learning technology to drug repositioning will help quickly find effective treatments. Currently, the world is having a difficult time due to a new disease caused by coronavirus (COVID-19), a severe acute respiratory syndrome. Drug repositioning that repurposes drugsthat have already been clinically approved could be an alternative to therapeutics to treat COVID-19 patients. This study intends to examine research trends in the field of drug repositioning using machine learning techniques. In Pub Med, a total of 4,821 papers were collected with the keyword 'Drug Repositioning'using the web scraping technique. After data preprocessing, frequency analysis, LDA-based topic modeling, random forest classification analysis, and prediction performance evaluation were performed on 4,419 papers. Associated words were analyzed based on the Word2vec model, and after reducing the PCA dimension, K-Means clustered to generate labels, and then the structured organization of the literature was visualized using the t-SNE algorithm. Hierarchical clustering was applied to the LDA results and visualized as a heat map. This study identified the research topics related to drug repositioning, and presented a method to derive and visualize meaningful topics from a large amount of literature using a machine learning algorithm. It is expected that it will help to be used as basic data for establishing research or development strategies in the field of drug repositioning in the future.

• The Journal of the Korea Contents Association
• /
• v.16 no.11
• /
• pp.253-263
• /
• 2016

We analyzed the social issue 'image of the elderly' using Big Data and Social Network Analysis. First, we analyzed the words extracted by the text mining technique by inputting the keyword 'elderly'. As a result of analysis, the image of the elderly viewed through media such as cafes, blogs, etc. Representing the trend of the public was using the word 'Senior' the most. The image of the elderly is expressed using the word having the highest frequency in the top 10, "The elderly are 'Senior' people who are respected by society, they are organized to earn money, to earn their qualifications, to health, and to 'Seniors' who desire to work healthy up to 100 years old". The purpose of this study is to differentiate from the existing analysis method by analyzing the macro-level image of the elderly including the social discourse by collecting vast amount of data and analyzing it with the social networking technique. When the image of the elderly that the public perceives is positively expressed as 'Senior', it can be said that the direction of the current elderly policy is evaluated as a desirable direction. On the other hand, it was able to feel the 'desire' of the public who wanted to be evaluated. Therefore, the policy direction of the elderly to be applied in the future should be the policy that enables the elderly to be perceived as 'Necessary existence' in society by taking on social roles. In addition, we proposed to implement the policy of the elderly that reflects priorities such as job creation, welfare, and alienation that can activity and maintain health.

• Journal of Digital Convergence
• /
• v.17 no.1
• /
• pp.9-27
• /
• 2019

The purpose of this study is to examine consumers' responses to mobile payment services by using a text-mining technique focusing on Samsung Pay as it is used in both online and offline transactions. We conducted text frequency analysis, text clustering analysis, and text network analysis using R programming. The major findings are as follows. First, the most frequently used key words referenced the brand names of the mobile devices, the replacement of traditional wallets and unique functions of Samsung Pay. Second, there was a clear split between positive and negative responses at the macro level. Third, replacement of traditional wallets played a great role in the positive responses and continuous use of mobile payment services. This study provides in-depth understanding of consumer responses toward mobile payment services. It also offers practical implications that may help mobile payment marketers correspond to consumer values and expectations, thus increasing consumer satisfaction.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.3
• /
• pp.245-251
• /
• 2022

This study attempted to examine the effect of virtual influencer, which is highly interested in consumers, and has recently been increasing the frequency of use in corporate marketing activities. In particular, the purpose is to examine the effect of the attributes of virtual influencer on consumers as an information source for a product or brand. To this end, the effect of perceived attractiveness, trustworthiness, and expertise of virtual influencer on SNS usage intention and imitation intention consumers was examined. As a result of the study, it was found that attractiveness among the attributes of virtual influencer had a positive effect on the usage intention, and attractiveness and trustworthiness had a positive effect on imitation intention. In addition, it was found that imitation intention had a positive effect on usage intention. In other words, the perceived attractiveness of virtual influencer by consumers through SNS is the most important attribute. These findings imply that when virtual influencer is used in marketing, companies must perceive the attractiveness of virtual influencer through content posted on SNS as well as their attributes as information sources. We expect the results of this study to provide major implications for marketing activities such as companies and public institutions that consider using virtual influencer.