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Analysis of Space Use Patterns of Public Library Users through AI Cameras (AI 카메라를 활용한 공공도서관 이용자의 공간이용행태 분석 연구)

  • Gyuhwan Kim;Do-Heon Jeong
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.4
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    • pp.333-351
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    • 2023
  • This study investigates user behavior in library spaces through the lens of AI camera analytics. By leveraging the face recognition and tracking capabilities of AI cameras, we accurately identified the gender and age of visitors and meticulously collected video data to track their movements. Our findings revealed that female users slightly outnumbered male users and the dominant age group was individuals in their 30s. User visits peaked between Tuesday to Friday, with the highest footfall recorded between 14:00 and 15:00 pm, while visits decreased over the weekend. Most visitors utilized one or two specific spaces, frequently consulting the information desk for inquiries, checking out/returning items, or using the rest area for relaxation. The library stacks were used approximately twice as much as they were avoided. The most frequented subject areas were Philosophy(100), Religion(200), Social Sciences(300), Science(400), Technology(500), and Literature(800), with Literature(800) and Religion(200) displaying the most intersections with other areas. By categorizing users into five clusters based on space utilization patterns, we discerned varying objectives and subject interests, providing insights for future library service enhancements. Moreover, the study underscores the need to address the associated costs and privacy concerns when considering the broader application of AI camera analytics in library settings.

Impact of customer experience characteristics on perceived value and revisit intention: Focusing on offline home appliance stores (고객체험특성이 지각된 가치와 재방문 의도에 미치는 영향: 가전 오프라인 매장을 중심으로)

  • Hosun Jeong;Jungmin Park;Hyoung-Yong Lee
    • Journal of Intelligence and Information Systems
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    • v.29 no.4
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    • pp.395-413
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    • 2023
  • This research studied the effect of customer experience characteristics in offline home appliance stores on perceived value and revisit intention. Among the offline distribution of home appliances with more than 100 stores nationwide, two home appliance retailers (HiMart, E-Land), three hypermarkets (E-Mart, Homeplus, Lotte Hi-Mart), and two home appliance stores (LG Best Shop, Samsung Digital Plaza) were selected, and a survey was conducted on men and women in their 20s or older in Seoul, Gyeonggi, and Incheon who had visited and purchased the home appliance store within the last 6 months. As a result of the survey, a statistical analysis was conducted on a total of 330 samples using the PLS (Partial Least Squares) structural equation model and SPSS statistical package. Through this study, the following research results can be obtained. First, educational experience, deviant experience, and aesthetic experience had a positive (+) effect on the functional value. However, entertainment experience did not affect functional value. Second, educational experience, deviant experience, and aesthetic experience all had a positive (+) effect on emotional value. Third, both functional and sensory values had a positive (+) effect on the revisit intention. Fourth, it was confirmed that brand loyalty had no moderating effect between functional value and sensory value revisit intention. The results of this study show the structural relationship between customer experience characteristics, perceived value (functional value, sensory value), and revisit intention. This result provides guidelines on what activities home appliance offline stores should do at a time when online channels threaten the survival of offline channels.

Medical Costs between Dietary Supplement Users and Non-users Using the Korea Health Panel Data (한국의료패널 자료를 활용한 건강기능식품 섭취에 따른 의료비 지출 비교분석)

  • Hye-Young Kwon;Soohyun Oh
    • Health Policy and Management
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    • v.34 no.1
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    • pp.87-93
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    • 2024
  • Background: In recent years, studies have shown conflicting results regarding the benefits of dietary supplements in reducing healthcare expenditures. This study aimed to address this inconsistency by examining the association between supplement consumption and health expenditures using nationally representative data from the Korea Health Panel Survey (2019-2020). Methods: A 1:1 matched case-control dataset was established using propensity score matching technique based on supplement consumption. Then, total annual healthcare expenditures were compared between the two groups. In addition, a multivariate regression analysis (Proc Surveyreg) was performed to determine the association between the supplement consumption and medical costs. Results: The supplement user group spent about 1.72 million Korean won, while the non-user group spent about 1.43 million Korean won on medical services (p=0.0186). The results of multivariate regression showed that the costs were approximately 26.15% higher in the user group than in the non-user group (p=0.0004). Conclusion: Contrary to the previous studies that have shown the benefits of supplement use in reducing healthcare costs, this study showed that those who consistently consumed supplements spent more on medical services. This can be interpreted in the same context as previous studies suggesting that dietary supplement intake is a healthy behavior for managing one's health. However, we caution against drawing firm conclusions due to data limitations. Further analysis using patient-level epidemiologic data is needed.

A Case Study Evaluating the Effectiveness of an Interdisciplinary Team-Based Integrated Medical Service Model in Improving the Quality of Life of a Fibromyalgia Patient and Caregiver through Psychological and Various Counseling Interventions (섬유근통 환자와 보호자의 삶의 질 증진을 위한 의·한 협진 기반의 통합의료서비스모델 적용평가 사례 연구: 심리 및 매체 상담개입을 중심으로)

  • Moon Joo Cheong;Do-Eun Lee;Myeung Su Lee;Chang Hoon Lee;Jung Han Lee;Won Bae Ha;Hyung Won Kang;Chong Hyuk Chung
    • Journal of Oriental Neuropsychiatry
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    • v.35 no.2
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    • pp.191-203
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    • 2024
  • Objectives: To evaluate the effectiveness of an integrated medical service model for a fibromyalgia patient and their caregiver, focusing on reducing pain and improving quality of life. Methods: A single-case study design was employed, involving a fibromyalgia patient and their primary caregiver treated at W University Hospital. The integrated medical service program, based on the Ministry of Health and Welfare's model, included medical consultations and complementary therapies such as psychological counseling, art therapy, music therapy, horticultural therapy, yoga, and meditation. The program was conducted weekly for 8 weeks, with each session lasting up to 100 minutes. Data collection involved both quantitative and qualitative assessments. Quantitative data included demographic surveys, psychological tests, health-related quality of life measures, pain indices, and sleep quality indices. Qualitative data were gathered through feedback evaluations and emotional assessments. Results: The patient showed improvements in mobility, self-care, daily activities, and anxiety/depression, with EQ-VAS scores increasing from 20 to 40 and pain perception decreasing from 67.41 to 42.58. The caregiver reported reduced anxiety/depression and an increase in EQ-VAS scores from 95 to 98. Both patient and caregiver exhibited emotional changes, with decreased depression and increased happiness. However, the patient showed an increase in fear and anger. Conclusions: The integrated medical service model positively impacted the emotional and psychological well-being of the fibromyalgia patient and their caregiver. Despite the limitations of a small sample size and a single-case study design, the findings suggest that an integrated approach can be beneficial. Larger-scale studies are needed to confirm and generalize these results.

A Clinical Study on the Relationship between Dental Implant and Systemic Disease (치과 임플란트와 전신질환과의 연관성에 관한 임상적 고찰)

  • Yang-Keum Han;Mi-Sook Yoon;Han-Hong Kim
    • Journal of Korean Dental Hygiene Science
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    • v.6 no.2
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    • pp.25-35
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    • 2023
  • Background: In order to emphasize the importance of clinical dental hygienists-led dental hygiene management processes for those with systemic diseases, we tried to identify systemic diseases affecting dental implants based on clinical data. Methods: In order to identify systemic diseases affecting dental implants, literature review was conducted from March 1 to May 31, 2023, and the search period was for research papers published in domestic and foreign academic journals from January 2000 to December 2020. Domestic databases used for search use RISS, Nuri Media(DBpia), and Korea Academic Information (http://www.papersearch.net ; KISS), while overseas databases searched Pubmed for dental implant failures, implants, systemic diseases, and Dental implant and system disease. Results: The cumulative survival rate of implants averaged 94.3 percent and the failure rate was 5.7 percent. Clinical analysis of systemic diseases related to implants accounted for the highest frequency with 13 (100.0%), followed by 8 (61.5%) studies on high blood pressure and smoking, 7 (53.8%) cardiovascular diseases, and 5 (38.5%). In addition, liver disease, thyroid abnormalities, blood abnormalities, organ transplants and infectious diseases were confirmed. Conclusion: Since unregulated systemic diseases are a risk factor for implant failure, clinical dental hygienists should continue to maintain healthy oral conditions by sharing information with patients during periodic preventive dental hygiene management processes such as dental hygiene assessment.

Research on Training and Implementation of Deep Learning Models for Web Page Analysis (웹페이지 분석을 위한 딥러닝 모델 학습과 구현에 관한 연구)

  • Jung Hwan Kim;Jae Won Cho;Jin San Kim;Han Jin Lee
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.2
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    • pp.517-524
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    • 2024
  • This study aims to train and implement a deep learning model for the fusion of website creation and artificial intelligence, in the era known as the AI revolution following the launch of the ChatGPT service. The deep learning model was trained using 3,000 collected web page images, processed based on a system of component and layout classification. This process was divided into three stages. First, prior research on AI models was reviewed to select the most appropriate algorithm for the model we intended to implement. Second, suitable web page and paragraph images were collected, categorized, and processed. Third, the deep learning model was trained, and a serving interface was integrated to verify the actual outcomes of the model. This implemented model will be used to detect multiple paragraphs on a web page, analyzing the number of lines, elements, and features in each paragraph, and deriving meaningful data based on the classification system. This process is expected to evolve, enabling more precise analysis of web pages. Furthermore, it is anticipated that the development of precise analysis techniques will lay the groundwork for research into AI's capability to automatically generate perfect web pages.

Working Married Women's Perceptions of Family Values and Work-Life Balance and their Effect on their Intention to Give Birth to their First Child (무자녀 기혼 취업여성의 가족가치관과 일·생활 균형 인식이 첫 자녀 출산의향에 미치는 영향)

  • Sim, Hyeyoung;Park, Jeoung Yun
    • Journal of Family Resource Management and Policy Review
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    • v.28 no.2
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    • pp.51-63
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    • 2024
  • This study aimed to identify the factors influencing the intentions of employed married women, aged 19 and above, with no prior experience of childbirth, to give birth to their first child. First, the intention of employed married women to give birth to their first child showed a moderate level of inclination, with slightly higher scores reflected in the subvariables of perceived marital value and perceived child value both within family values, while the effect of perceived gender role value was generally higher than the midpoint. Perception of work-life balance was generally a moderate influence, with the subvariable of balancing work and family being slightly higher than the midpoint in terms of influence. Second, the intention to give birth to a first child was clearly associated with the level of education and showed a positive correlation. However, this intention was negatively correlated with age, perceived child values, perceived marital values, and residential tenure. Third, pregnancy intention was influenced by age, educational level, perceived value of children, perceived value of marrriage, and work-life balance. This study provides meaningful assistance in understanding current low birth rate by gathering data on the preferences of married working women in relation to childbirth and by presenting the diverse perspectives of the women.

Comparative Analysis on Network Slicing Techniques in 5G Environment (5G 환경에서의 네트워크 슬라이싱 연구 비교 분석)

  • A Reum Ko;Ilhwan Ji;Hojun Jin;Seungho Jeon;Jung Taek Seo
    • Journal of Platform Technology
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    • v.11 no.5
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    • pp.84-96
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    • 2023
  • Network slicing refers to a technology that divides network infrastructure into multiple parts. Network slicing enables flexible network configuration while minimizing the physical resources required for network division. For this reason, network slicing technology has recently been developed and introduced in a form suitable for the 5G environment for efficient management of large-scale network environments. However, systematic analysis of network slicing research in the 5G environment has not been conducted, resulting in a lack of systematic analysis of the technology. Accordingly, in this paper, we provide insight into network slicing technology in the 5G network environment by conducting a comparative analysis of the technology. In this study's comparative analysis, 13 literatures on network slicing in the 5G environment was identified and compared and analyzed through a systematic procedure. As a result of the analysis, three network slicing technologies frequently used for 5G networks were identified: RAN (radio access network) slicing, CN (core network) slicing, and E2E (end-to-end) sliding. These technologies are mainly used for network services. It was confirmed that research is being conducted to achieve quality improvement and network isolation. It is believed that the results of this comparative analysis study can contribute to 6G technology research as a future direction and utilization plan for network slicing research.

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The Relationship between Internet Search Volumes and Stock Price Changes: An Empirical Study on KOSDAQ Market (개별 기업에 대한 인터넷 검색량과 주가변동성의 관계: 국내 코스닥시장에서의 산업별 실증분석)

  • Jeon, Saemi;Chung, Yeojin;Lee, Dongyoup
    • Journal of Intelligence and Information Systems
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    • v.22 no.2
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    • pp.81-96
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    • 2016
  • As the internet has become widespread and easy to access everywhere, it is common for people to search information via online search engines such as Google and Naver in everyday life. Recent studies have used online search volume of specific keyword as a measure of the internet users' attention in order to predict disease outbreaks such as flu and cancer, an unemployment rate, and an index of a nation's economic condition, and etc. For stock traders, web search is also one of major information resources to obtain data about individual stock items. Therefore, search volume of a stock item can reflect the amount of investors' attention on it. The investor attention has been regarded as a crucial factor influencing on stock price but it has been measured by indirect proxies such as market capitalization, trading volume, advertising expense, and etc. It has been theoretically and empirically proved that an increase of investors' attention on a stock item brings temporary increase of the stock price and the price recovers in the long run. Recent development of internet environment enables to measure the investor attention directly by the internet search volume of individual stock item, which has been used to show the attention-induced price pressure. Previous studies focus mainly on Dow Jones and NASDAQ market in the United States. In this paper, we investigate the relationship between the individual investors' attention measured by the internet search volumes and stock price changes of individual stock items in the KOSDAQ market in Korea, where the proportion of the trades by individual investors are about 90% of the total. In addition, we examine the difference between industries in the influence of investors' attention on stock return. The internet search volume of stocks were gathered from "Naver Trend" service weekly between January 2007 and June 2015. The regression model with the error term with AR(1) covariance structure is used to analyze the data since the weekly prices in a stock item are systematically correlated. The market capitalization, trading volume, the increment of trading volume, and the month in which each trade occurs are included in the model as control variables. The fitted model shows that an abnormal increase of search volume of a stock item has a positive influence on the stock return and the amount of the influence varies among the industry. The stock items in IT software, construction, and distribution industries have shown to be more influenced by the abnormally large internet search volume than the average across the industries. On the other hand, the stock items in IT hardware, manufacturing, entertainment, finance, and communication industries are less influenced by the abnormal search volume than the average. In order to verify price pressure caused by investors' attention in KOSDAQ, the stock return of the current week is modelled using the abnormal search volume observed one to four weeks ahead. On average, the abnormally large increment of the search volume increased the stock return of the current week and one week later, and it decreased the stock return in two and three weeks later. There is no significant relationship with the stock return after 4 weeks. This relationship differs among the industries. An abnormal search volume brings particularly severe price reversal on the stocks in the IT software industry, which are often to be targets of irrational investments by individual investors. An abnormal search volume caused less severe price reversal on the stocks in the manufacturing and IT hardware industries than on average across the industries. The price reversal was not observed in the communication, finance, entertainment, and transportation industries, which are known to be influenced largely by macro-economic factors such as oil price and currency exchange rate. The result of this study can be utilized to construct an intelligent trading system based on the big data gathered from web search engines, social network services, and internet communities. Particularly, the difference of price reversal effect between industries may provide useful information to make a portfolio and build an investment strategy.

Changes of Polyamine Metabolism and Delayed Neuronal Degeneration of Hippocampus after Transient Cerebral Ischemia in Mongolian Gerbils (뇌허혈 손상에 있어서 Polyamine 대사의 변동이 해마신경세포의 지연성괴사에 미치는 효과에 관한 연구)

  • Shin, Kyung-Ho;Shin, Hwa-Jung;Lee, Young-Jae;Kim, Hyung-Gun;Choi, Sang-Hyun;Chun, Yeon-Sook;Chun, Boe-Gwun
    • The Korean Journal of Pharmacology
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    • v.32 no.3
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    • pp.323-334
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    • 1996
  • Male Mongolian gerbils $(60{\sim}80g)$ were given DL-difluoromethylornithine (DFMO; 250mg/kg, ip) and methylglyoxal bis(guanylhydrazone) (MGBG; 50 mg/k, ip), respectively, 1 h prior to transient (7 min) occlusion of bilateral common carotid arteries (OBC7) and a daily dose of one of them for 6 days after recirculation, and the polyamine contents, activities of ornithine and S-adenosylmethionine decarboxylases (ODC and SAM-DC), and light microscopic findings of the hippocampus were evaluated. The hippocampal putrescine (PT) levels of the control gerbils treated with saline (STGr), markedly increased after OBC7, showing a peak level at 24 h after recirculation. The peak PT level was reduced in DFMO treated gerbils (DTCr) and in MGBG treated gerbils (MTGr). And 7 days after recirculation, the PT level of DTGr was decreased to about 75% of the PT level in the sham operated group (nonTGr) and to about 55% of the STGr level, respectively. The hippocampal spermidine (SD) level of STGr tended to decline, showing the lowest value at 8 h after recirculation. But the spermidine (SD) level of DTGr was somewhat higher at 8 h after OBC7 than those of STGr and MTGr The hippocampal spermine (SM) levels of all the experimental groups were little changed for 7 days after OBC. OBC7 markedly increased the hippocampal ODC activity. reaching a maximum (about 3 times higher than preischemic level) at 8 h and rapidly recovered to the control value by 24 h in STGr gerbils, and the OBC7-induced increase of ODC activity was significantly attenuated by DFMO or MGBG treatment. Whereas OBC7 induced a rapid decrease of the hippocampal SAMDC activity follwed by gradual recovery to the preischemic level, and the decrease of the SAMDC activity was slightly attenuated by DFMO or MGBG treatment. 7 Days after OBC7 the histological finding of the hippocampal complex stained with cresyl violet showed an extensive delayed neuronal damage in the CA1 region and to a lesser extent, in the dentate gyrus, sparing the CA3 region. And the neuronal death was aggevated by DFMO but significantly attenuated by MGBG. The immunochemical reactivity of hippocampus to anti-GFAP antibody was significantly increased in the CA1 region and to a lesser extent, in the dentate gyrus 7 days after OBC7, but was little changed in the CA3. And the increase of the anti-GFAP immunoreactivity was moderately enhanced by DFMO and significantly suppressed by MGBG. These results suggest that the polyamine metabolism may play a modulatory role in the ischemic brain damage.

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