Earticle

최근 기술 발달에 따라 산업기술 유출 사고를 막기 위한 다양한 보안대책과 보안 시설 및 시 스템도 고도화 되었다. 그러나 이와 같은 노력에도 산업기술 유출 사고는 지속적으로 발생하고 있어 산업기술 유출 사고 예방은 상당히 어려운 과제라는 인식을 주었다. 산업기술 유출 사고는 내부적으로만 발생하는 것도 아니고, 외부적으로만 발생하는 것도 아니 다. 따라서 사용자 행위 정보를 수집 한다고, 쉽게 산업기술 유출 행위를 식별하거나 특정하기 어려운 점이 있다. 그렇기 때문에 선행연구 자료들에는 다양한 관점에서의 산업기술 유출 행위 를 분석하였고, 해당 행위를 탐지하기 위한 항목들을 도출하였다. 하지만 이러한 항목들은 사용 자의 움직임 행위가 아닌 온라인상의 행동 정보를 기반으로 한정되어 있다. 산업기술 유출 대응에 가장 많이 사용되고 있는 것은 보안 솔루션들이나, 이 보안 솔루션들은 사용자의 움직임 행위 즉 행동 인식이 아닌 개인 또는 조직에 대한 온라인상의 로그를 기반으로 행동을 유추하여 분석하는 특징을 가지고 있다. 따라서 이 보안 솔루션은 DB 또는 PC에 저장되 어 있는 내부 정보를 외부로 전송하거나, 접근 또는 출력하는 것에 대한 통제를 담당하는 것이기 때문에 직접적인 사용자의 행동 인지는 하지 못한다는 문제점이 있다. 또 기술적인 부분이 아닌 정책인 부분은 사실상 산업기술 유출 사고가 발생한 후에 적용되는 것이므로, 사전에 산업기술 유출을 방지하기 위해서는 온라인상의 행동 정보를 분석하는 보안 솔루션에 추가적인 요소가 필요하다. 그 추가적인 요소는 바로 사용자의 행동을 학습하는 것이며, 사용자의 행동 인식 학습 정보와 기존 보안솔루션의 학습 정보를 통합 분석한다면, 산업기술 유출 사고에 대한 예방적 보안대책 이 될 수 있다고 판단하여 WIFI 신호 활용 행동 인식 학습 기반 산업기술 유출 대응 시스템 설계 제안하고자 한다.

In accordance with recent technological development, various security measures and security facilities and systems have been advanced to prevent leakage of industrial technology. However, despite these efforts, industrial technology leakage accidents continue to occur, giving recognition that preventing industrial technology leakage accidents is a very difficult task. Industrial technology leakage accidents do not only occur internally, nor do they only occur externally. Therefore, even if user behavior information is collected, it is difficult to easily identify or specify the act of leaking industrial technology. Therefore, in the previous research data, the industrial technology leakage behavior was analyzed from various perspectives, and items for detecting the corresponding behavior were derived. However, these items are limited based on online behavioral information rather than the user's movement behavior. Security solutions are most often used to respond to industrial technology leaks, but these security solutions have the characteristic of inferring and analyzing behavior based on online logs for individuals or organizations, rather than recognizing user's movement behavior, that is, behavior. Therefore, since this security solution is in charge of controlling external transmission, access, or output of internal information stored in a DB or PC, there is a problem in that it does not directly recognize the user's actions. In addition, since the policy part, not the technical part, is actually applied after an industrial technology leakage accident occurs, additional elements are needed in the security solution that analyzes online behavioral information to prevent industrial technology leakage in advance. The additional element is to learn the user's behavior, and if the user's behavior recognition learning information and the learning information of the existing security solution are integrated and analyzed, it can be a preventive security measure against industrial technology leakage accidents, and the WIFI signal is used. The design of an industrial technology leak response system based on behavioral recognition learning is proposed.

This study aimed to determine the effect of pool gait exercise using fibromyalgia- induced model mice. The sensory threshold, locomotive behavior, electrocardiogram, and onset time after the gait test in shallow water using male C57BL/6J mice (weight, 30–35 g; n= 21) were investigated. To induce fibromyalgia in model mice, reserpine was injected intraperitoneally into wild-type mice once a day for 3 days. Subsequently, the fibromyalgia-induced model mice were randomly classified into two groups as follows: the control group (n= 11) and the pool gait group (n= 10). The mice in the pool gait group walked in the same cage containing shallow warm water 5 times per week. Both groups underwent sensory thresholds and video recordings to determine locomotive behaviors weekly. Further, both heart rate and video recordings for observation of a recovery after the gait test in shallow water were undertaken (control group; n= 5, pool gait group; n= 5). The pool gait did not affect sensory thresholds and locomotive behavior; however, in the pool gait group, both the recovery after the test, such as onset time and gait distance, were considerably better than those of the control group. Furthermore, changes in heart rate and heart rate irregularity after the test were more apparent in the control group than in the pool gait group. The free gait in a shallow pool accelerated recovery after exercise, unlike the sensory threshold.

As interest in the Internet increases, related technologies are also quickly progressing. As smart devices become more widely used, interest is growing in words are missing here like "improving the" or "figuring out how to use the" future Internet to resolve the fundamental issues of transmission quality and security. The future Internet is being studied to improve the limits of existing Internet structures and to reflect new requirements. In particular, research on words are missing here like "finding new forms of" or "applying new forms of" or "studying various types of" or "finding ways to provide more" reliable communication to connect the Internet to various services is in demand. In this paper, we analyze the security threats caused by malicious activities in the future Internet and propose a human behavior analysis-based security service model for malware detection and intrusion prevention to provide more reliable communication. Our proposed service model provides high reliability services by responding to security threats by detecting various malware intrusions and protocol authentications based on human behavior.

In this study, we conducted a data-driven analysis of lottery purchase behavior by using the XGBoost algorithm to predict future lottery purchase amounts based on purchase patterns of the previous four weeks. We began by judiciously defining key features including the weekly average purchase amount and variance in purchase amount. Subsequently, we evaluated the proposed method's performance, finding the predicted future purchase amounts to match the actual purchase amounts. A key strength of this study was the interpretability of feature variables. Through the feature importance score from XGBoost, we found that features that capture impulsive patterns in purchases (e.g., variability in purchase amount) are strongly correlated with future spending, which agrees with conventional behavior analysis. Our study can be extended to the development of early warning systems designed to identify at-risk and potentially addicted purchasers on online lottery platforms.

The present thesis is on a construction of the system which supports exhibition evaluation of curators, which automatically collects, keeps, and totalizes objective data on visitor behavior in museums, and which comprehensively displays the results by tables and graphs. The system is composed by access points and mobile exhibition exposition devices in the museum operating together. Obtainable visitor information include a user number, an average staying period, contents use hour, and exhibition viewing frequency. Prototype experiment at museums shows that the system is effective in efficient data collection and exhibition evaluation and is expected to become an information collecting tool for visitor research and an exhibition evaluation tool for exhibition improvement.

Mobile devices are the most important equipment for accessing various kinds of services. These services are accessed using wireless signals, the same used for mobile calls. Today mobile services provide a fast and excellent way to access all kinds of information via mobile phones. Mobile service providers are interested to know the access behavior pattern of the users from different locations at different timings. In this paper, we have introduced an associated tree for analyzing user behavior patterns while moving from one location to another. We have used four different parameters, namely user, location, dwell time, and services. These parameters provide stronger frequent accessing patterns by matching joins. These generated patterns are valuable for improving web services, recommending new services, and predicting useful services for individuals or groups of users. In addition, an experimental evaluation has been conducted on simulated data. Finally, performance of the proposed approach has been measured in terms of efficiency and scalability. The proposed approach produces excellent results.

Purpose: This descriptive study identified factors influencing high school students’ in tentions to receive human papillomavirus (HPV) vaccination using Ajzen’s theory of planned behavior as the guiding framework. Methods: Participants were 192 male and female high school seniors aged 18 years or older who could express their opinions independently. In April 2023, participants com pleted structured, self-administered questionnaires assessing HPV vaccination intention, HPV knowledge, attitudes toward HPV vaccination, subjective norms, and perceived behavioral control. Data were analyzed using independent t-tests, one-way analysis of variance with the Scheffe post hoc test, Pearson correlation coefficients, and hierarchical multiple regression. Results: Intention to receive HPV vaccination was significantly predicted by subjective norms (β=0.31, p<.001), perceived behavioral control (β=0.31, p<.001), attitudes (β=0.22, p<.001), and school gender composition (β=0.19, p=.005). Subjective norms and perceived behavioral control exerted the greatest influence and together explained 54% of the vari ance in intention (adjusted R2=0.54). Conclusion: These findings provide fundamental evidence for developing effective in terventions to enhance high school students’ intentions to receive HPV vaccination. Ef forts should focus on fostering positive perceptions of HPV vaccination by providing ac curate information about its benefits and potential adverse effects, supported by credible public messaging.

Purpose: The purpose of this study was to identify the construct equivalence of the general five factors of healthbehavior and to compare the latent means between adolescents with a health problem and those without in Korea. Methods: The 2009 KYRBS (Korean Youth Risk Behavior Survey) data were used for the analysis. Multi-groupconfirmatory factor analysis was performed to test whether the scale had configural, metric, and scalar invariancesacross the existence of health problems in adolescents. Results: Configural, metric, and factor invariances weresatisfied for the latent mean analysis (LMA) between adolescents with health problem and those without. Adolescents with health problem and those without were not different in the LMA of all factors. Conclusion: Healthproviders should give more interest to the group of adolescents with health problems and consider prudentialschool life to the same group.

Purpose: The majority of adolescents use smartphones, and their overdependence on smartphones has emerged as a serious social issue. Although studies have explored the effect of smartphone overdependence on adolescent problem behaviors, research on its influence on sexual behavior is scarce. This study aimed to examine the association be- tween smartphone overdependence and sexual behavior among adolescents. Methods: This study used data from the 19th Korea Youth Risk Behavior Web-Based Survey conducted in 2023. Smartphone overdependence was the independent variable, and sexual behaviors (sexual intercourse and contraceptive use) were the dependent variables. Multivariate regression analysis was performed to control for confounding variables. Results: The study participants included 52,880 adolescents aged 13?18 years. Among them, 28.0% (n=14,672) were classified as smartphone overdependent, 6.5% (n=3,349) had sexual experience, and 65% (n=2,182) of those with sexual experience reported using contraception. Smartphone overdependence was not significantly associated with sexual experience but was significantly associated with contraceptive use. Adolescents in the non-overdependent group were 1.27 times more likely to use contraception than those in the smartphone overdependent group (95% confidence interval, 1.07?1.52; p<.007). Conclusion: The findings highlight a significant association between smartphone over- dependence and contraceptive use among adolescents. Policy interventions and educa- tional strategies that consider adolescents’ smartphone usage patterns and trait factors are necessary.

In this study, 1,933 Korean male and female subjects ranging in age from 10 to 82 were selected to investigate the various statistics about hand dominance and employment characteristics of preferred hand in handling diverse products and facilities. The statistics show that 5.6% are left-handed and 7.6% are ambidextrous. The average left-hander has a strong tendency to use his or her left hand more often when taking a forceful action than one that requires accuracy. On the contrary, the average ambidextrous or right-handed person generally uses his or her right hand more with action that requires accuracy than force. Derived from such results, the conclusion is that depending on which hand is the dominant one, people seem to use their hands differently when they handle objects and is a point that should be considered in designing hand control devices.

Purpose: Adolescents with same-sex or both-sex sexual experience face disproportionate health risks, yet research has predominantly examined single health problems rather than their multidimensional patterns. This study employed latent class analysis (LCA) to identify distinct health typological classes among Korean adolescents and characterize the distribution of sexual behavior patterns across these classes. Methods: We analyzed 278,066 middle- and high-school students in the 2013?2016 Ko rea Youth Risk Behavior Survey. The LCA used 17 indicators encompassing sexual be havior patterns, health behaviors, health perceptions, and mental health. Complex-sam ple weighted analyses examined associations between latent classes and sociodemo graphic characteristics, sexual behaviors, and diseases. Results: Four distinct classes were identified: mental health high-risk group (10.1%), sub stance use high-risk group (6.5%), average group (36.3%), and healthy group (47.1%). Adolescents with same-sex or both-sex sexual experience were disproportionately con centrated in the two high-risk classes, comprising 3.3% of the mental health high-risk group and 4.1% of the substance use high-risk group, compared with only 0.3% and 0.5% of the average group and the healthy group. The mental health high-risk group exhibited extremely elevated prevalence rates of suicidal ideation (96.2%), depressive symptoms (88.5%), and suicide attempts (27.5%), while the substance use high-risk group showed high rates of smoking (82.4%) and alcohol use (84.6%) but better mental health. Conclusion: Adolescents with same-sex or both-sex sexual experience demonstrate health inequality through disproportionate classification in the mental health high-risk group and the substance use high-risk group. The findings underscore the need for inte grated interventions combining mental health support and substance use prevention.

Purpose: This study aimed to analyze the latent class of suicide-related behaviors among Korean adolescents and identify related factors. Methods: This study used 2021 Korean Youth Risk Behavior Web-Based Survey data and analyzed 7300 participants using latent class analysis. Results: Suicide-related behaviors were categorized into four classes: suicide ideation only (Class 1), suicide plan without ideation or attempt (Class 2), suicide attempt with ideation and plan (Class 3), and suicide attempt without ideation or plan (Class 4). Sexual intercourse experience, habitual drug use experience, and hospital treatment experience due to violence, which were set as risky behavior-related variables, were found to be factors influencing Class 3. However, these variables were not statistically significant factors affecting those belonging to Class 2 and Class 4. Conclusion: The findings emphasize the necessity of understanding the variances in suicide-related behaviors among adolescents to tailor interventions effectively. Adolescents who plan and attempt suicide despite having low levels of suicidal ideation exhibited high levels of stress and a tendency for sadness and despair compared to the suicide attempt with the ideation and plan group. These insights underscore the importance of addressing psycho-emotional factors and developing intervention strategies that cater specifically to the nuanced needs of each group to prevent potential suicide attempts.

Purpose: This study aims to explore a clear and evidence-based definition of adaptive behavior in stroke survivors and establish the antecedents, attributes, consequences, and empirical referents of the concept. Methods: The concept analysis was performed using theWalker and Avant method as a framework. Data from 90 publications were collected using various databases (PubMed, EMBASE, CINAHL, RISS, and KISS) and applied in the analysis. Results: Adaptive behavior in stroke survivors was defined according to four attributes: realizing change, taking an optimistic view, restructuring daily activities to suit oneself, and carrying out one's own daily life. The conceptual structure of their adaptive behavior comprised stroke onset, functional changes, and emotional liability as antecedents and autonomy, family equilibrium, and quality of life as consequences. Conclusions: Clarifying the concept of adaptive behavior in stroke survivors provides an understanding of the underlying attributes of this concept. Furthermore, it will facilitate the development of scales to measure the concept and the application of a theory-based intervention program that can improve adaptive behavior.

Purpose: The aim of this study was to understand the concept of innovative behavior and its theoretical and practical implications for nursing. Methods: Eight-step modification of Wilson's classic concept analysis procedure (1963) by Walker and Avant's (2005) was used to explore the antecedents, attributes, and consequences of innovative behavior in the literature. Electronic searches were conducted in PubMed, Google Scholar, OVID Medline, Science Direct, and ERIC databases using “innovative behavior” or “innovative work behavior”, “innovativeness”, “innovation”, “leadership”, “healthcare”, and “nursing” as keywords, with no limitation on publication date. Results: Organizing the framework based on the method of concept analysis by Walker and Avant , defining attributes to innovative behavior were opportunity exploration, idea generation, idea search, idea communication, promotion of idea, idea championing, application, and overcoming obstacles. Antecedents to innovative behavior are categorized into three groups: organizational characteristics, work environmental characteristics, and individual characteristics. Consequences of innovative behavior included job productivity, lower levels of job burnout, job satisfaction, solving the organizational problems, organizational commitment, organizational efficiency, and effectiveness. Conclusion: Eight dimensions including opportunity exploration, idea generation, idea search, idea communication, idea promotion, championing, application, and overcoming obstacles were analyzed. We suggest promoting innovative behavior through leadership and management in nursing. Future research should focus on developing instruments and conducting empirical studies on innovative behavior in nursing research and practice.

This study investigates the practices of Western YouTube content creators' cross-posting behavior, i.e., uploading their content on Bilibili-a Chinese video-sharing platform. A qualitative content analysis is employed to analyze videos of 14 popular YouTubers to compare the content of videos posted on both platforms. The findings indicate that the content differs for both platforms, possibly to accommodate Chinese viewers. The results show that Western YouTubers have made multiple changes to their original content before reuploading them to Bilibili, including the addition of Chinese subtitles, cut-out sponsorship content, shorter and translated descriptions, altered thumbnails, and exclusive content for Bilibili. The results also show a less frequent uploading schedule on Bilibili than on YouTube. While existing studies have explored content creators' cross-posting behavior within the same social media ecosystem, the study significantly contributes to advancing our understanding of online creators' content distribution practices across platforms in different cultural domains, especially in a Chinese-Western context.

Purpose: We investigated the role of individual and community level factors on diabetes screening test behavior. Methods: We used individual-level data from 170,193 adults aged 30 years or older who were not diagnosed with diabetes and participated in the 2009 community health survey. Community-level data includes 253 communities and were collected from various national statistics. Multilevel logistic regression analysis was conducted. Results: The rate of diabetes screening within the year prior to this study was 53.2%. Community variance of Model I, Model II and Model III was 0.236, 0.252 and 0.238, respectively. The proportional change in variance of Model II and Model III was e6.8% and e1.2%. The odds ratio for participation of diabetic screening of areas with bottom financial independence compared to areas with top was 0.84 (95% confidence interval, 0.74e0.96); the odds ratio of areas with top internist compared to areas with bottom was 1.15 (95% confidence interval, 1.01e1.31). Conclusion: This study identified a contextual effect influencing the participation of Korean adults in diabetes screening. It is necessary to develop specific policies that consider not only individual factors, but also community factors relating to individual behaviors to increase the likelihood of diabetes screening.

The purpose of this work was to study library website users' actions by tracking their behavior, determining popular content, and identifying browsing patterns and subsequent improvement of access to popular content. The study of behavior models and the use of web analytics has led to the emergence of solutions that improve the usability and functionality of the State Public Scientific-Technological Library of the Siberian Branch of the Russian Academy of Sciences (SPSTL SB RAS) website. These are: identifying user tasks as they are developed, conducting user testing to better understand the event. tracking data and collecting additional data to verify the effectiveness of the changes made. Examining data on the duration of the session and the number of visits will help determine the goals of user visits and develop new recommendations. Usability analysis and testing will make it possible to compare the data obtained using web analytics and the perception of the library site by the users themselves. Recommendations are offered to libraries on the use of data on the real behavior of the target audience of the library website to improve access to library resources and services, increase their relevance and improve information services.

This study focuses on finding ways to stimulate the growth of agricultural sectors in m-businesses, by analyzing and comparing the factors that influence the purchasing behavior of consumers in the open market, social commerce, and integrated shopping malls. Consumers at various mobile shopping malls answered a survey. Among the nine factors considered, one important factor was the frequency of purchasing agrifoods. Regression analysis produced three results. First, in the open market, in addition to various other advantages, the brand image, reasonable pricing, simple payment system, and convenience of using an app were important factors that influenced the purchasing behavior of the individual consumer. Second, in social commerce, the major factors influencing purchase were the reasonable pricing, quick delivery service, and convenience of using an app. Third, in integrated shopping malls, the brand image, guaranteed after-sale service, the variety of products, quick delivery service, and convenience of using an app were the significant factors.