• Title/Summary/Keyword: Korea Public Data Portal

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Evaluation of Gastric Cancer Information Web Sites in Korea (국내 위암 정보에 관한 웹사이트 평가)

  • Kim, Mi-Yea;Tae, Young-Sook;Jung, Kwuy-Im
    • Journal of Korean Academy of Nursing Administration
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    • v.15 no.1
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    • pp.5-15
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    • 2009
  • Purpose: The purpose of this study was to evaluate the quality of service and appropriateness of information provided in gastric cancer web sites. Method: The study investigated the status of the web sites retrieved when the keyword "gastric cancer" was searched on seven(7) different Internet portal sites. Among the retrieved information sites, 51 domestic websites, available on June and July 2008, were selected. They were evaluated based on two criteria, quality of service (7 items) and appropriateness of the information (11 items) on a 4-point scale($0{\sim}3$). The analysis of data was done using SPSS 12.0 PC+ program for descriptive statistics and ANOVA tests. Results: Findings revealed that the quality of service provided by the web sites had an average of $1.61{\pm}.55$. The score of information appropriateness was $.79{\pm}.64$. Among the studied websites, only 4(7.8%) scored higher than 22, placing them in the top 30%. Conclusion: This study suggests that most sites do not provide diverse types of gastric cancer-related information and that reliability is important in developing web-based programs related to gastric cancer in order to effectively promote and disseminate health information to the general public.

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The Influence of Using Intention by G4C Smart Application Service Characteristics: Comparing Korea and China (G4C 스마트 앱 서비스 특성이 사용의도에 미치는 영향: 한·중 비교 분석을 중심으로)

  • Chang, Hui-Qiang;Kim, Hwa-Kyung;Lee, Jong-Ho
    • Journal of Distribution Science
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    • v.12 no.11
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    • pp.85-100
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    • 2014
  • Purpose - Recently, the prevalence of high-speed mobile communication technology (4G) and mobile devices (smart phones, tablet PC, etc.) is leading innovative changes across all fields in society as well as business environments. Furthermore, a diversified mobile application service has spread rapidly through mobile devices such as smart phones and tablet PCs. Accordingly, the traditional E-government services paradigm has rapidly changed into mobile intelligence. To identify the influencing factors on the using intention of G4C smart app services, based on previous studies, the variables that influence using G4C smart app services are defined; these are user cognitive factors (perceived usefulness, perceived easiness), user characteristics factors (user innovativeness, self-efficiency, social influence), service quality factors (convenience, interactivity, accessibility), and system quality factors (instant connectivity, safety). Research design, data, and methodology - This is designed not only to collect data with a questionnaire survey (9/22/13~10/23/13) but also to test hypotheses with SEM by SPSS 21.0 and AMOS 21.0 in both Korea and China. All items are used with Likert 5 scales. A total of 643 questionnaires (Korea 318, China 325) are used. Results - The perceived usefulness and perceived easiness in user cognitive factors have positive influence on using intention. The user innovativeness, self-efficiency, and social factors in user characteristics factors have positive influences on using intention. The convenience, interactivity, and accessibility in service quality factors have positive influences on both reliability and using intention. Safety in system quality has positive influence on both reliability and using intention. Reliability has positive influence on using intention. The control variables (Korea and China) affect its control hypothesis. Strategies and implications are suggested to assist the public using the intention of smartphone's e-government services based on the results of the empirical analysis. The mobile application service can be considered a new emergence of the paradigm just like the government's on-line portal websites appeared in the past. Under this prevailing situation of mobile smart devices, to promote the success of e-government mobile APP services, accurate analysis and understanding of users should precede anything, to provide services to grasp and satisfy users' desire properly. Conclusions - This study proposes implications to help E-governmental officers and companies make strategies. First, this is expected to give some information on the understanding and knowledge regarding the process of G4C smart APP service based on the empirical study. Second, this helps to make future policies and ways about E-government G4C smart APP service. Third, it is proved that super speed mobile communication technology and devices including phones will be crucial to change the structure of E-government services in 2-3 years. Fourth, it is necessary to increase the trust and using intention of users. Fifth, considering what type of environment users are placed in, to present proper public information matching their inclination, is important. Finally, various ways of experiencing service to explore potential users and ceaseless public relations are required.

Analysis and Visualization of Real Estate Market Price using Elasticsearch (Elasticsearch를 이용한 부동산 시장 가격 분석 및 시각화)

  • Seung-Yeon Hwang;Jeong-Joon Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.2
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    • pp.185-190
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    • 2024
  • In 2022, we can see the real estate market in Korea going down. Corona 19 and the Russian invasion of Ukraine are cited as the biggest causes for this. These two problems ignited the economic recession, causing prices to fall and subsequently raising exchange rates and interest rates. Due to the aforementioned problems in the previously active real estate market, the number of actual transactions has decreased, resulting in a decline in the real estate market due to high interest rates. Data provided by the public data portal, KOSIS, and the Seoul Metropolitan Government were collected through Logstash, transferred to Elasticsearch, and visualized inflation, exchange rates, and loan interest rates using the dashboard function provided by Kibana, to analyze causes and derive results. In addition, three specific apartments in Nowon-gu and Jongno-gu, which have the highest number of actual transactions in Seoul, are selected and the actual transaction prices that change every month are displayed in the Data Table.

The change of dental clinic name (치과의원 상호명의 시대적 변화)

  • Yu, Su-Been;Song, Bong-Gyu;Yang, Byoung-Eun
    • The Journal of the Korean dental association
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    • v.56 no.12
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    • pp.658-666
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    • 2018
  • This study analyzes 21,686 dental clinic business names from 1946 to February 2016, where official records exist. The results of this study will be used as a historical data of Korean dental clinic and contribute to the decision of dental clinic name. According to the results of analysis, the first official dental clinic used in Korea was 'Chu' in 1946, 'Minsaeng' and 'Chusaeng' in 1958, and "Won" in 1959. In the 1960s, dentists' family names were often used as dental clinics. In the 1970s, dental clinic names were often used as dentists' family name, 'Jung-ang' and 'Seongsin'. In the 1980s, dental clinic name was used more than other names such as 'Seoul', 'Yonsei', 'Hyundai' and 'Sang-a' along with the dentist's family name. In the 1990s, a dental clinic name was used to refer to the words 'Yeonsei', 'Seoul', 'Hyundai', 'Sang-a', 'Isalang', 'Uli', 'Jeil', 'Bubu' used a lot. In the 2000s, Dental Clinic's name began to use english words such as $^{\circ}{\AE}Good$ Morning','White','Prime 'and adjectives such as 'Haengboghan', 'Ipyeonhan'. The characteristic of the dental clinic name in 2010 is the increase of the business name 'UD'. From 1946 to February 2016, the most commonly used dental clinic name was 'Seoul', 'Uri', 'Isarang', 'Yonsei', 'Hyundai', 'Good Morning' 'Jung-ang', 'UD', 'I', 'Miso'.

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Analysis of Topics Related to Population Aging Using Natural Language Processing Techniques (자연어 처리 기술을 활용한 인구 고령화 관련 토픽 분석)

  • Hyunjung Park;Taemin Lee;Heuiseok Lim
    • Journal of Information Technology Services
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    • v.23 no.1
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    • pp.55-79
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    • 2024
  • Korea, which is expected to enter a super-aged society in 2025, is facing the most worrisome crisis worldwide. Efforts are urgently required to examine problems and countermeasures from various angles and to improve the shortcomings. In this regard, from a new viewpoint, we intend to derive useful implications by applying the recent natural language processing techniques to online articles. More specifically, we derive three research questions: First, what topics are being reported in the online media and what is the public's response to them? Second, what is the relationship between these aging-related topics and individual happiness factors? Third, what are the strategic directions and implications for benchmarking discussed to solve the problem of population aging? To find answers to these, we collect Naver portal articles related to population aging and their classification categories, comments, and number of comments, including other numerical data. From the data, we firstly derive 33 topics with a semi-supervised BERTopic by reflecting article classification information that was not used in previous studies, conducting sentiment analysis of comments on them with a current open-source large language model. We also examine the relationship between the derived topics and personal happiness factors extended to Alderfer's ERG dimension, carrying out additional 3~4-gram keyword frequency analysis, trend analysis, text network analysis based on 3~4-gram keywords, etc. Through this multifaceted approach, we present diverse fresh insights from practical and theoretical perspectives.

A Study on Users' Perception of Reference Services in National Archives of Korea (국가기록원 기록정보서비스에 대한 이용자 인식에 관한 연구)

  • Kim, Jihyun
    • Journal of Korean Society of Archives and Records Management
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    • v.12 no.1
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    • pp.167-187
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    • 2012
  • This study investigated the perception and experience of users who visited in Seoul office of the National Archives, a branch of the National Archives of Korea(NAK). For collecting data, the study utilized the Researcher Survey Toolkit developed by Archival Metrics Project and revised the questionnaire to reflect services of NAK. Questionnaires completed by 47 users were collected and analyzed, and interviews with one survey respondent and two staff were performed. It was found that the purpose of the visit is mostly to identify records that prove land ownership of users' ancestors. Types of records frequently used were also those concerning lands and forests. User feedback on the staff was generally positive, and users perceived them to be helpful and kind. However, there was an opinion that the staff did not provide accurate information about whether NAK hold records that the user wanted to find. The staff also said that it was challenging to confirm where requested records are located when providing services for users. User evaluation on the usefulness and the ease of use of NAK portal services was not very positive, and it was perceived to be very inconvenient to search in the portal. Overall, users were satisfied with the services of NAK, although some users suggested that services need be provided efficiently, and NAK must clarify the criteria for the non-disclosure of public records.

Factors influencing the composite quality score from the quality assessment program for long-term care hospitals (요양병원의 입원급여 적정성 평가 결과에 미치는 영향 요인 분석)

  • Lee, Sang-Kab;Seol, Jin-Ju;Lee, Kwang-Soo
    • Korea Journal of Hospital Management
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    • v.25 no.3
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    • pp.78-86
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    • 2020
  • Purposes: This study purposed to identify factors influencing the composite quality score from the quality assessment program for long-term care hospitals Methodology: The study variables was obtained from HIRA(Health Insurance Review and Assessment Service): the composite quality scores and hospital variables such as number of doctors, nurses, beds, medical technicians, medical equipments, administrative region, ownerships from 3rd (2010) to 7th (2018) quality assessment program. National Statistical Portal(www.kosis.go.kr) provided the number of senior citizens aged over 65 in city·county·district area. SAS 9.4 was used for the data processing and used to analyze the data. Findings: The results showed that composite quality score increased past 9 years. Hospital variables such as number of doctor, nurse, medical technicians, bed and public hospitals had significant positive relationship with the composite quality score. Administrative region(district) showed higher scores compare to that of city. Compare to the score of quality assessment year(2010), as the assessment year move to 2012, 2013, 2015, 2018, results showed higher significant positive coefficients. Practical Implication: Continuously improve the performance of long-term care hospitals, current quality assessment program are needed to update their system such as adopting indicators measuring the service process, or compensating the cost for quality assessment program. It will enable to provide more reasonable and accurate performance assessment scores.

Comparison of Deep Learning Algorithm in Bus Boarding Assistance System for the Visually Impaired using Deep Learning and Traffic Information Open API (딥러닝과 교통정보 Open API를 이용한 시각장애인 버스 탑승 보조 시스템에서 딥러닝 알고리즘 성능 비교)

  • Kim, Tae hong;Yeo, Gil Su;Jeong, Se Jun;Yu, Yun Seop
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.388-390
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    • 2021
  • This paper introduces a system that can help visually impaired people to board a bus using an embedded board with keypad, dot matrix, lidar sensor, NFC reader, a public data portal Open API system, and deep learning algorithm (YOLOv5). The user inputs the desired bus number through the NFC reader and keypad, and then obtains the location and expected arrival time information of the bus through the Open API real-time data through the voice output entered into the system. In addition, by displaying the bus number as the dot matrix, it can help the bus driver to wait for the visually impaired, and at the same time, a deep learning algorithm (YOLOv5) recognizes the bus number that stops in real time and detects the distance to the bus with a distance detection sensor such as lidar sensor.

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A Macro Attacks Detection Model Based on Trace Back Information (트레이스 백 정보에 기반한 매크로 공격 탐지 모델)

  • Baek, Yong Jin;Hong, Suk Won;Park, Jae Heung;Kang, Gyeong Won;Kim, Sang Bok
    • Convergence Security Journal
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    • v.18 no.5_1
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    • pp.113-120
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    • 2018
  • Today, the development of information and communication technology is rapidly increasing the number of users of network-based service, and enables real-time information sharing among users on the Internet. There are various methods in the information sharing process, and information sharing based on portal service is generally used. However, the process of information sharing serves as a cause of illegal activities in order to amplify the social interest of the relevant stakeholders. Public opinion attack using macro function can distort normal public opinion, so security measures are urgent. Therefore, security measures are urgently needed. Macro attacks are generally defined as attacks in which illegal users acquire multiple IP or ID to manipulate public opinion on the content of a particular web page. In this paper, we analyze network path information based on traceback for macro attack of a specific user, and then detect multiple access of the user. This is a macro attack when the access path information for a specific web page and the user information are matched more than once. In addition, when multiple ID is accessed for a specific web page in the same region, it is not possible to distort the overall public opinion on a specific web page by analyzing the threshold count value.

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A Study on the Data Cleaning and Standardization of National Ecosystem Survey in Korea (전국자연환경조사 데이터 정제와 표준화 방안 연구)

  • Kwon, Yong-Su;Song, Kyohong;Kim, Mokyoung;Kim, Kidong
    • Korean Journal of Ecology and Environment
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    • v.53 no.4
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    • pp.380-389
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    • 2020
  • Research on diagnosing and predicting the response of ecosystems caused by environmental changes such as artificial disturbance and climate change is emerging as the most important issue of biodiversity and ecosystem researches. This study aims to clean, standardize, and provide the results of National Ecosystem Survey which should be considered fundamentally in diagnosing and predicting ecosystem changes in the form of dataset. To refine and clean the dataset we developed a simple verification program based on the fifth National Ecosystem Survey Guideline and applied that program to the data from the second (1997~2005), third (2006~2013) and fourth (2014~2018) National Ecosystem Survey. Data quality control processes were implemented including (1) standardization of terminology, (2) similar data table integration, (3) unnecessary attribute and error elimination, (4) unification of different input items, (5) data arrangement in codes, and (6) code mapping for input items. These approaches and methods are the first attempt propose an option for ecological data standardization in Korea. The standardized dataset of National Ecosystem Survey in Korea will be easily accessible, reusable for both researchers and public. In addition, we expect it will contribute to the establishment of diverse environmental policies concerning environmental assessments, habitat conservation, prediction of endangered species distribution and ecological risks due to climate change. The dataset through this study is open freely online via EcoBank (nie-ecobank.kr) which is the first ecological information portal system in Korea developed by National Institute of Ecology.