• Title/Summary/Keyword: Public dataset

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Sentimental Analysis of Twitter Data Using Machine Learning and Deep Learning: Nickel Ore Export Restrictions to Europe Under Jokowi's Administration 2022

  • Sophiana Widiastutie;Dairatul Maarif;Adinda Aulia Hafizha
    • Asia pacific journal of information systems
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    • v.34 no.2
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    • pp.400-420
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    • 2024
  • Nowadays, social media has evolved into a powerful networked ecosystem in which governments and citizens publicly debate economic and political issues. This holds true for the pros and cons of Indonesia's ore nickel export restriction to Europe, which we aim to investigate further in this paper. Using Twitter as a dependable channel for conducting sentiment analysis, we have gathered 7070 tweets data for further processing using two sentiment analysis approaches, namely Support Vector Machine (SVM) and Long Short Term Memory (LSTM). Model construction stage has shown that Bidirectional LSTM performed better than LSTM and SVM kernels, with accuracy of 91%. The LSTM comes second and The SVM Radial Basis Function comes third in terms of best model, with 88% and 83% accuracies, respectively. In terms of sentiments, most Indonesians believe that the nickel ore provision will have a positive impact on the mining industry in Indonesia. However, a small number of Indonesian citizens contradict this policy due to fears of a trade dispute that could potentially harm Indonesia's bilateral relations with the EU. Hence, this study contributes to the advancement of measuring public opinions through big data tools by identifying Bidirectional LSTM as the optimal model for the dataset.

Factors Associated with the Non-Use of Beneficiaries of Long-Term Care Insurance Service: The Case of Jeollanam-do Province (노인장기요양보험 인정자의 미이용 관련요인 분석: 전남지역을 대상으로)

  • Kuk, Kyung-Nam;Kim, Roeul;Lim, Seungji;Park, Chong-Yon;Kim, Jaeyeun;Chung, Woojin
    • Health Policy and Management
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    • v.24 no.4
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    • pp.349-356
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    • 2014
  • Background: This study aimed to explore factors associated with the non-use of beneficiaries of long-term care insurance services for the elderly in Jeollanam-do Province by analyzing a dataset obtained from National Health Insurance Service. Methods: The study sample consists of 1,663 individuals who were evaluated as eligible for long-term care insurance services in Jeollanam-do Province during the period of July 1, 2008 through June 30, 2009. As a dependent variable, the non-use of the service was defined as one when a beneficiary had used it once or more times during one year after he or she was evaluated as eligible and as zero otherwise. A proportion analysis was conducted to describe characteristics of study sample. Chi-square tests were used to compare general characteristics between beneficiaries who had used the services and those who had not used them. Multiple logistic regressions were performed by three models including additional sets of explanatory variables such as socio-demographic characteristics, health conditions, and economic status. Results: Main results are summarized as follows. The proportion of beneficiaries who had not used the service was 14.5% of all beneficiaries. According to the results from the model using all explanatory variables, the factors associated with the non-use of the services were residence location, dwelling place, type of desired service, level of care needs, and instrumental activities of daily life limitations. Conclusion: In particular, regarding the type of desired service, the cash benefit showed a high likelihood of the non-use of the service; it had an odds ratio (OR) of 50.212 (95% confidence interval [CI], 24.00-105.04) compared with home service. In case of dwelling place, a hospital showed also a high likelihood of the non-use with an OR of 20.71 (95% CI, 10.12-42.44) compared with home.

Association between Arthritis and Socio-Demographic Factors in Korean Elderlies: The National Survey of Korean Elderly (2014, 2017) Dataset Analysis (우리나라 노인의 관절염 유병과 인구사회적 요인의 관련성: 노인실태조사(2014, 2017) 자료 분석)

  • Ha, Woonkyung;Park, Kwankyu;Kim, Taehyun;Lee, Kyuhee;Lee, Yongjae;Chung, Woojin
    • Health Policy and Management
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    • v.29 no.4
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    • pp.469-481
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    • 2019
  • Background: As South Korea is becoming an aged society very rapidly, the increase in osteoarthritis prevalence raises various public health issues in this country. This study aimed to explore the socio-demographic factors associated with osteoarthritis in the current Korean elderlies. Methods: Using the National Survey of Korean Elderly data (2014, 2017), we analyzed 20,326 elderlies (males, 8,248; females, 12,078) and conducted multivariate logistic regression analyses by sex. The dependent variable is whether a participant was diagnosed with osteoarthritis or not. Independent variables of interest is socio-demographic factors such as age, marital status, household type, residential area, household income, religion, the longest job, the number of close relatives, the number of close friends, and survey year. Control variables are various health behavioral factors and disease-related factors. Results: Prevalence of osteoarthritis was 19.2% in male elderlies and 47.0% in female elderlies. According to the results of the multivariate logistic regression adjusted for all studied control variables, the odds ratio (OR) for having osteoarthritis of under-elementary school graduates (their counterpart was college graduate group) was 1.81 (95% confidence interval [CI], 1.29-2.52) in males and 1.67 (95% CI, 1.12-2.47) in females. The OR of those having a job in agriculture & forestry fishery as their longest job (their counterpart was those who had never participated in labor force during their lifetime) was 5.07 (95% CI, 1.46-17.58) in males and 1.49 (95% CI, 1.27-1.74) in females. In males, the second-low quartile group in household yearly income (their counterpart was the highest quartile group) had the OR of 1.22 (95% CI, 0.98-1.53). In females, the OR of those having a religion of Buddhism (their counterpart was those having no religion) was 1.20 (95% CI, 1.07-1.35) and the OR of those who had no relatives (their counterpart was those having more than 3 close relatives) was 1.31 (95% CI, 1.10-1.56). Conclusion: This study found that in Korean elderlies, education, the longest job, household income, religion, and the number of close relatives are associated with their suffering from osteoarthritis. Further study and designing appropriate interventions are needed to alleviate current and future individual and socioeconomic burdens of osteoarthritis in an aged society like South Korea.

Tuberculosis Surveillance and Monitoring under the National Public-Private Mix Tuberculosis Control Project in South Korea 2016-2017

  • Min, Jinsoo;Kim, Hyung Woo;Ko, Yousang;Oh, Jee Youn;Kang, Ji Young;Lee, Joosun;Park, Young Joon;Lee, Sung-Soon;Park, Jae Seuk;Kim, Ju Sang
    • Tuberculosis and Respiratory Diseases
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    • v.83 no.3
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    • pp.218-227
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    • 2020
  • Background: The national Public-Private Mix (PPM) tuberculosis (TB) control project provides for the comprehensive management of TB patients at private hospitals in South Korea. Surveillance and monitoring of TB under the PPM project are essential toward achieving TB elimination goals. Methods: TB is a nationally notifiable disease in South Korea and is monitored using the surveillance system. The Korea Centers for Disease Control and Prevention quarterly generates monitoring indicators for TB management, used to evaluate activities of the PPM hospitals by the central steering committee of the national PPM TB control project. Based on the notification date, TB patients at PPM hospitals were enrolled in each quarter, forming a cohort, and followed up for at least 12 months to identify treatment outcomes. This report analyzed the dataset of cohorts the first quarter of 2016 through the fourth quarter of 2017. Results: The coverage of sputum, smear, and culture tests among the pulmonary TB cases were 92.8% and 91.5%, respectively. The percentage of positive sputum smear and culture test results were 30.7% and 61.5%, respectively. The coverage of drug susceptibility tests among the culture-confirmed cases was 92.8%. The treatment success rate among the smear-positive drug-susceptible cases was 83.2%. The coverage of latent TB infection treatment among the childhood TB contacts was significantly higher than that among the adult contacts (85.6% vs. 56.0%, p=0.001). Conclusion: This is the first official report to analyze monitoring indicators, describing the current status of the national PPM TB control project. To sustain its effect, strengthening the monitoring and evaluation systems is essential.

Mountain Meteorology Data for Forest Disaster Prevention and Forest Management (산림재해 방지와 산림관리를 위한 산악기상정보)

  • Keunchang, Jang;Sunghyun, Min;Inhye, Kim;Junghwa, Chun;Myoungsoo, Won
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.24 no.4
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    • pp.346-352
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    • 2022
  • Mountain meteorology in South Korea that is covered mountains with complex terrain is important for understanding and managing the forest disaster and forest ecosystems. In particular, recent changes in dryness and/or rainfall intensity due to climate change may cause an increase in the possibility of forest disasters. Therefore, accurate monitoring of mountain meteorology is needed for efficient forest management. Korea Forest Service (KFS) is establishing the Automatic Mountain Meteorology Observation Stations (AMOS) in the mountain regions since 2012. 464 AMOSs are observing various meteorological variables such as air temperature, relative humidity, wind speed and direction, precipitation, soil temperature, and air pressure for every minute, which is conducted the quality control (QC) to retain data reliability. QC process includes the physical limit test, step test, internal consistency test, persistence test, climate range test, and median filter test. All of AMOS observations are open to use, which can be found from the Korean Mountain Meteorology Information System (KoMIS, http://mtweather.nifos.go.kr/) of the National Institute of Forest Science and the Public Data Portal (https://public.go.kr/). AMOS observations with guaranteed quality can be used in various forest fields including the public safety, forest recreation, forest leisure activities, etc., and can contribute to the advancement of forest science and technology. In this paper, a series of processes are introduced to collect and use the AMOS dataset in the mountain region in South Korea.

Design and Performance Evaluation of the Secure Transmission Module for Three-dimensional Medical Image System based on Web PACS (3차원 의료영상시스템을 위한 웹 PACS 기반 보안전송모듈의 설계 및 성능평가)

  • Kim, Jungchae;Yoo, Sun Kook
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.3
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    • pp.179-186
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    • 2013
  • PACS is a medical system for digital medical images, and PACS expand to web-based service using public network, DICOM files should be protected from the man-in-the-middle attack because they have personal medical record. To solve the problem, we designed flexible secure transmission system using IPSec and adopted to a web-based three-dimensional medical image system. And next, we performed the performance evaluation changing integrity and encryption algorithm using DICOM volume dataset. At that time, combinations of the algorithm was 'DES-MD5', 'DES-SHA1', '3DES-MD5', and '3DES-SHA1, and the experiment was performed on our test-bed. In experimental result, the overall performance was affected by encryption algorithms than integrity algorithms, DES was approximately 50% of throughput degradation and 3DES was about to 65% of throughput degradation. Also when DICOM volume dataset was transmitted using secure transmission system, the network performance degradation had shown because of increased packet overhead. As a result, server and network performance degradation occurs for secure transmission system by ensuring the secure exchange of messages. Thus, if the secure transmission system adopted to the medical images that should be protected, it could solve server performance gradation and compose secure web PACS.

Locally adaptive intelligent interpolation for population distribution modeling using pre-classified land cover data and geographically weighted regression (지표피복 데이터와 지리가중회귀모형을 이용한 인구분포 추정에 관한 연구)

  • Kim, Hwahwan
    • Journal of the Korean association of regional geographers
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    • v.22 no.1
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    • pp.251-266
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    • 2016
  • Intelligent interpolation methods such as dasymetric mapping are considered to be the best way to disaggregate zone-based population data by observing and utilizing the internal variation within each source zone. This research reviews the advantages and problems of the dasymetric mapping method, and presents a geographically weighted regression (GWR) based method to take into consideration the spatial heterogeneity of population density - land cover relationship. The locally adaptive intelligent interpolation method is able to make use of readily available ancillary information in the public domain without the need for additional data processing. In the case study, we use the preclassified National Land Cover Dataset 2011 to test the performance of the proposed method (i.e. the GWR-based multi-class dasymetric method) compared to four other popular population estimation methods (i.e. areal weighting interpolation, pycnophylactic interpolation, binary dasymetric method, and globally fitted ordinary least squares (OLS) based multi-class dasymetric method). The GWR-based multi-class dasymetric method outperforms all other methods. It is attributed to the fact that spatial heterogeneity is accounted for in the process of determining density parameters for land cover classes.

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A Study of the Transition Process in Presidential Electronic Records Transfer and Improvement Measures : Focused on the Electronic Records of the 19th President Moon Jae-in's Administration (대통령 전자기록물의 이관방식 변천과 개선방안 연구 19대 문재인 정부 대통령 전자기록물을 중심으로 )

  • Yun, Jeonghun
    • The Korean Journal of Archival Studies
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    • no.75
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    • pp.41-89
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    • 2023
  • Since the enactment of the Act on the Management of Presidential Archives in 2007, the cases of electronic records transfer in the 16th President Roh Moo-hyun's administration have played the role of an advance guard in managing public records and served as a test bed for new electronic records management. When transferring the electronic records of the 19th President Moon Jae-in's administration, the electronic records transfer method of President Roh's administration was inherited, while several innovative attempts were made. For instance, the Presidential Archives have for the first time converted the electronic documents from institutions advising the President into a long-term preservation package and transferred them online. In addition, considering the characteristics of the data, the administrative information dataset of the Presidential record creation institutions was transferred to the SIARD standard. Furthermore, the Presidential Archives had websites transferred in the form of OVF as a pilot test and collected social media directly through the API. Thus this study investigated the transition process of the presidential electronic records transfers from the 16th President Roh Moo-hyun's administration to the 19th President Moon Jae-in's. In addition, major achievements and issues were analyzed centering on the transfer method by type of electronic records during President Moon Jae-in's administration, and future improvement plans were presented.

Personalized Session-based Recommendation for Set-Top Box Audience Targeting (셋톱박스 오디언스 타겟팅을 위한 세션 기반 개인화 추천 시스템 개발)

  • Jisoo Cha;Koosup Jeong;Wooyoung Kim;Jaewon Yang;Sangduk Baek;Wonjun Lee;Seoho Jang;Taejoon Park;Chanwoo Jeong;Wooju Kim
    • Journal of Intelligence and Information Systems
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    • v.29 no.2
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    • pp.323-338
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    • 2023
  • TV advertising with deep analysis of watching pattern of audiences is important to set-top box audience targeting. Applying session-based recommendation model(SBR) to internet commercial, or recommendation based on searching history of user showed its effectiveness in previous studies, but applying SBR to the TV advertising was difficult in South Korea due to data unavailabilities. Also, traditional SBR has limitations for dealing with user preferences, especially in data with user identification information. To tackle with these problems, we first obtain set-top box data from three major broadcasting companies in South Korea(SKB, KT, LGU+) through collaboration with Korea Broadcast Advertising Corporation(KOBACO), and this data contains of watching sequence of 4,847 anonymized users for 6 month respectively. Second, we develop personalized session-based recommendation model to deal with hierarchical data of user-session-item. Experiments conducted on set-top box audience dataset and two other public dataset for validation. In result, our proposed model outperformed baseline model in some criteria.

Comparative Analysis of the Poverty-Mitigating Effects Originated from Transfer Income Systems among Single-Elderly-Households (이전소득의 독거노인가구 빈곤경감 효과 비교)

  • Kim, Sooyoung;Lee, Kanghoon
    • 한국노년학
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    • v.29 no.4
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    • pp.1559-1575
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    • 2009
  • As the basic old-age pension system was enforced in 2008, the base for old-age income security was founded. However, due to the basic old-age pension played a minor role as assistant allowance, it did not reach to sufficient level to cover full income security system. It is estimated that the dependency on private transfer income among the elderly who are difficult to be economically independent is still high. Therefore the poverty rate of the elderly households, who are not economically active or who are not protected by old-age income security system, is more likely to be higher than that of non-elderly households. Based on the assumption that public transfer income system should become a central means of old-age life guarantee, this study examined the poverty mitigation effects among the elderly households by comparing the private transfer income and the public transfer income. For this purpose, we selected single-elderly-households who have been considered the most vulnerable to poverty. We used 2006- 2008 Household Income and Expenditure Survey dataset that contained single-elderly who were older than 65 years old. To understand the conditions of poverty among single-elderly-households and the degree of poverty-reducing effect originated from income transfer system, we compared the poverty rates of total households and the whole elderly households. Next, we analysed the poverty of the single-elderly-households by social demographic factors such as gender, age, and economic activity. Our major findings are as follows: First, the poverty rate of the whole elderly households were not reduced, even though the basic old-age pension and long-term care management system were enforced in 2008. Second, half of the elderly households including single-elderly-households belonged to the absolute poverty line. Relatively higher level of poverty among the single-elderly-households was found especially those who were female, unemployed, low-educated, older, and rural single-elderly-households. Third, the effect of the public transfer income on mitigating the single-elderly-households poverty showed a little progress. However, even greater poverty reducing effect was found by the private transfer income system. Fourth, in a group of the public transfer systems, the public assistance such as supporting living costs contributed more to reduce poverty of the elderly population than the public pension system did.