• Title/Summary/Keyword: BIG4

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Job-related analysis and visualization using big data distributed processing system (빅데이터를 활용한 직업관련 분석 및 시각화)

  • Choi, Dong-Cheol;Choi, Nakjin;Kim, Min-Seok;Park, Jun-wook;Lee, Jun-Dong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.249-251
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    • 2020
  • 본 논문에서는 코로나바이러스감염증19 사태가 국내 취업시장에 어떠한 영향을 미쳤는지에 대해 알아보기 위하여 빅데이터를 활용한 직업 관련 분석 및 시각화를 수행하였다. 빅데이터를 위한 기본 자료는 통계청 자료와 워크넷 Open API를 활용하였으며, 빅데이터 처리 과정을 거쳐 결과값을 예측을 시도하였다. 2020년도 워크넷 Open API를 통해 고용수와 통계청 자료를 통해 비교 분석 및 시각화를 실시하였고, 08년~20년 취업자수를 통해 시계열 분석 및 예측을 진행해 앞으로의 횡보를 예상해보았다. 분석한 결과 19년, 20년도를 비교 분석했을 때에는 크게 차이가 나지 않았다. 추가적으로 시계열 분석기법을 활용해 보았을 때 매년 고용수는 전체적으로 증가하고 4월에는 감소, 7월에는 증가하는 추세가 나왔다. 코로나바이러스감염증19 사태로 인해 공공기관과 언택트 시대에 따른 화상회의나 재택근무로 인해 운수·통신 취업률은 상승한다는 결과값이 도출되었고, 자영업이나 서비스 직업 등은 다른 직종에 비해 큰 감소를 보여줬으나 국가 경제 활성화에 따른 고용수는 점차 증가할 것이라 예측된다.

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Updating Korean Disability Weights for Causes of Disease: Adopting an Add-on Study Method

  • Dasom Im;Noor Afif Mahmudah;Seok-Jun Yoon;Young-Eun Kim;Don-Hyung Lee;Yeon-hee Kim;Yoon-Sun Jung;Minsu Ock
    • Journal of Preventive Medicine and Public Health
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    • v.56 no.4
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    • pp.291-302
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    • 2023
  • Objectives: Disability weights require regular updates, as they are influenced by both diseases and societal perceptions. Consequently, it is necessary to develop an up-to-date list of the causes of diseases and establish a survey panel for estimating disability weights. Accordingly, this study was conducted to calculate, assess, modify, and validate disability weights suitable for Korea, accounting for its cultural and social characteristics. Methods: The 380 causes of disease used in the survey were derived from the 2019 Global Burden of Disease Collaborative Network and from 2019 and 2020 Korean studies on disability weights for causes of disease. Disability weights were reanalyzed by integrating the findings of an earlier survey on disability weights in Korea with those of the additional survey conducted in this study. The responses were transformed into paired comparisons and analyzed using probit regression analysis. Coefficients for the causes of disease were converted into predicted probabilities, and disability weights in 2 models (model 1 and 2) were rescaled using a normal distribution and the natural logarithm, respectively. Results: The mean values for the 380 causes of disease in models 1 and 2 were 0.488 and 0.369, respectively. Both models exhibited the same order of disability weights. The disability weights for the 300 causes of disease present in both the current and 2019 studies demonstrated a Pearson correlation coefficient of 0.994 (p=0.001 for both models). This study presents a detailed add-on approach for calculating disability weights. Conclusions: This method can be employed in other countries to obtain timely disability weight estimations.

Analysis for IT Trends in Korea and the United States using Big Data in IT-related Papers (IT 관련 논문 빅데이터를 활용한 한국과 미국의 IT 동향 분석)

  • Seung-Yeon Hwang;Seok-Woo Jang
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.3
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    • pp.171-176
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    • 2024
  • IT-related fields are very diverse. As of 2018, the IT revolution from the Fourth Industrial Revolution not only brought out the new fields that were different from the previous ones, but it also made a reexamination of various fields that had already been an issue in the past. Companies and public institutions have a great interest in understanding IT trends in this situation. Therefore, in this paper, IT trends are identified through the analyzation of keywords provided by domestic papers. Moreover, unlike previous industry trend analysis or economic analysis, this paper focuses on analyzing the keyword provided by the doctoral thesis or master's thesis about direct IT-related research, and grasps the more basic and direct IT trend. This analysis predicts and presents the vision based on the data of the analysis from the academic papers that researched in IT technology for IT related students or IT related educators.

A Study on the Status of Medical Equipment and Radiological Technologists using Big Data for Health Care: Based on Data for 2020-2021 (보건의료 빅데이터를 활용한 의료장비 및 방사선사 인력 현황 연구 : 2020-2021년 자료를 기준으로)

  • Jang, Hyon-Chol
    • Journal of the Korean Society of Radiology
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    • v.15 no.5
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    • pp.667-673
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    • 2021
  • As we enter the era of the 4th industrial revolution, it is judged that the scope of work of radiologists will be further expanded according to the innovation and advancement of radiation medical technology development. In this study, the current status of medical equipment and radiology technicians was identified, and basic data were provided for the plan for nurturing talents in the field of radiation medical technology in the era of the 4th industrial revolution, as well as career and employment counseling. Data from the second quarter of 2020 and the second quarter of 2021 were analyzed using health and medical big data. As a result of comparing the status of medical equipment by type in 2021 compared to 2020, C-Arm X-ray examination equipment increased by 5.83% to 6,638 units, followed by MRI examination equipment 1,811 units 5.29%, and angiography equipment 725 units 5.22% , general X-ray examination equipment 21,557 units increased 3.99%, CT examination equipment 2,136 units 3.03%, and breast examination equipment 3,425 units increased 3.00%. As a result of a comparison of the total number of radiologists in 2021 compared to 2020, the number was 29,038, an increase of 2.73%. As a result of comparing the status of radiographers by region, the increase was highest in the Gyeonggi region with 5.96%, followed by the Gangwon region with a 5.66% increase and the Chungnam region with a 3.81% increase. In a situation where the number of medical equipment and radiologist manpower is increasing, universities are developing specialized knowledge and practical competency through subject development related to the understanding and utilization of customized artificial intelligence and big data that can be applied in the medical radiation technology field in the era of the 4th industrial revolution. It is necessary to nurture qualified radiographers, and at the level of the association, it is thought that active policies are needed to create new jobs and improve employment.

Research on a Valuation Standard and the Actual Condition About Security Management in PACS (PACS에서 보안관리 평가기준 연구와 실태조사)

  • Jeong, Jae-Ho;Dong, Kyung-Rae;Kweon, Dae-Cheol;Son, Gi-Gyeong;Kim, Hyun-Soo;Kang, Hee-Doo
    • Journal of radiological science and technology
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    • v.31 no.4
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    • pp.347-353
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    • 2008
  • This study is to prepare an evaluation standard about personal information protection and security management of a medical institution and to build up a grade standard of evaluation in PACS environment. We built up evaluation index based on 10 detailed items in four big categories (political security, technical security, data management security and physical security) by referring to ISO17799 (BS 7799), HIPPA (Health Insurance and Portability and Accountability Act of 1996) and domestic medical law. We have investigated at the thirty places where medical facility with the extracted security criteria and security evaluation index. Average score of physical security list, one of the big categories, was 18.5/20 (93%) at all medical institutions. Political security score was 18.5/30 (62%), data management security score was 12/20 (60%) and technical security score was 17.5/30 (58%). Therefore, security evaluation score was average 67 in 30 general hospitals, which was 4th level. The results showed that it is necessary to establish evaluation and management standard about personal information protection and security consciousness which are weak in PACS environment.

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Study on Perceptions through Big data Analysis on Gambling related News in Korea (한국 사행산업 관련 뉴스의 빅데이터 분석을 통한 인식 연구)

  • Moon, HyeJung;Kim, SungKyung
    • Journal of Broadcast Engineering
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    • v.22 no.4
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    • pp.438-447
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    • 2017
  • The purpose of this study is to understand the recognition of gambling industry through the semantic analysis of news data on lottery, sports betting, horse racing and casino that was reported between 1990 to 2015 in South Korea. This paper revealed the difference between journalists' intention and public's perception about news by analyzing the frequency and connectivity of news with framing and public's interest through semantic network analysis and explored the policy characteristics and innovation task. The result of analysis, news on lottery game mainly has been reported social issue related with win such as 'winning number', 'prize money', 'suspicion of manipulation' and etc. News on sports betting has been reported mandatory information related with business project and illegal site such as 'bidding', 'illegal site', 'sales target' and etc. News about horse racing has been reported the information about the business advertisement such as 'online race track' and 'promotion'. Lastly, casino related news has been reported 'major information' such as illegality', 'gambling place' and 'foreigner'. As a result of times series analysis, news about casino in the 1990s, news about lottery in the 2000s and news about horse racing in 2010s have been increased. Public's interest also has been moved to 'business scandal', 'winning game', 'citizens' campaign' and etc. Gambling related news has been classified by four types, 1. advertising publicity(horse racing), 2. mandatory information(sports betting), 3. social issue(public agenda, lottery), 4. major information(casino). We could get the insight that news can be formed a public agenda, when news is reported as a social issue with high frequency and public's interest like lottery related news.

Effects of Soil Conditioner "Uresol and Bitumen" Treatments on Water Movement and Soil Loss II. The Changes of Wetting Angle and Water Diffusivity (토양개량제(土壤改良劑) Uresol 및 Bitumen처리(處理)가 토양(土壤)의 수분이동(水分移動)과 유실(流失)에 미치는 영향(影響) II. 습윤각(濕潤角)과 수분(水分)의 광산계수변화(鑛散係數變化))

  • Jo, In-Sang;Cho, Seong-Jin
    • Korean Journal of Soil Science and Fertilizer
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    • v.17 no.1
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    • pp.12-17
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    • 1984
  • In order to find out the effects of soil conditioner treatment on the water movement in sandy loam and silt loam soils were treated with two different kinds of soil conditioners, hydrophobic Bitumen 0.4% or hydrophillic Uresol 0.6%, and the changes of wetting angle (soil-water contact angle), penetrability and diffusivity were measured. The results were summarized as follows: 1. Uresol 0.6% treatment decreased the wetting angle of sandy loam more than $10^{\circ}$, but there was no big difference in silt loam. 2. Sandy loam soil was changed to almost hydrophobic and the wetting angle of silt loam soil was increased to $84.9^{\circ}$ as compared to $76.0^{\circ}$ of untreated soil by Bitumen 0.4% treatment. 3. By Uresol treatment, penetrability of sandy loam was doubled but there was not difference in silt loam, and it was decreased to half in two soils by Bitumen treatment. 4. A significant positive correlation between penetrability and the cosine of wetting angle was recognized. 5. Soil water diffusivity was greatly changed by soil conditioner treatment, and the big differences were appeared at lower soil moisture content.

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Development of Machine Learning-Based Platform for Distillation Column (증류탑을 위한 머신러닝 기반 플랫폼 개발)

  • Oh, Kwang Cheol;Kwon, Hyukwon;Roh, Jiwon;Choi, Yeongryeol;Park, Hyundo;Cho, Hyungtae;Kim, Junghwan
    • Korean Chemical Engineering Research
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    • v.58 no.4
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    • pp.565-572
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    • 2020
  • This study developed a software platform using machine learning of artificial intelligence to optimize the distillation column system. The distillation column is representative and core process in the petrochemical industry. Process stabilization is difficult due to various operating conditions and continuous process characteristics, and differences in process efficiency occur depending on operator skill. The process control based on the theoretical simulation was used to overcome this problem, but it has a limitation which it can't apply to complex processes and real-time systems. This study aims to develop an empirical simulation model based on machine learning and to suggest an optimal process operation method. The development of empirical simulations involves collecting big data from the actual process, feature extraction through data mining, and representative algorithm for the chemical process. Finally, the platform for the distillation column was developed with verification through a developed model and field tests. Through the developed platform, it is possible to predict the operating parameters and provided optimal operating conditions to achieve efficient process control. This study is the basic study applying the artificial intelligence machine learning technique for the chemical process. After application on a wide variety of processes and it can be utilized to the cornerstone of the smart factory of the industry 4.0.

Status of the Abalone (Haliotis discus hannai) Aquaculture for Optimal Rearing Technique in Marine Net Cage (해상가두리 적정 사육기술 제시를 위한 전복양식 현황)

  • Son, Maeng-Hyun;Park, Min-Woo;Kim, Kang-Woong;Kim, Kyoung-Duck;Kim, Shin-Kwon
    • Journal of Fisheries and Marine Sciences Education
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    • v.22 no.3
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    • pp.362-373
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    • 2010
  • We reviewed previous studies on well-performing aquaculture facilities, rearing environment, breeding management and feed supply to find the optimal conditions of the abalone aquaculture in marine cage. The size of marine cage varied depending on local area where the abalone farms are located. The small size cage ($2.4{\times}2.4{\times}2.5$ m) was used in Wando, Jindo and Hanam area where much of the provincial's abalone production is conducted and the middle size cage ($2.4{\times}4.8{\times}2.5$ m) was used in Huksando area. Big size group, above 2 cm in shell length, was produced from the end of October to the middle of November and small size group, below 2 cm in shell length, was produced from the end of March to the beginning of April next year in case of juvenile abalone of land production. The initial stocking density was 517-1,653 individuals/culture square meter($m^2$) in case of the big size group. The optimal rearing density was 326 and 263 individuals/culture square meter ($m^2$) after 1 year and 2 year's rearing, respectively. It is shown that relationship between individual shell length (x) and rearing density (y) is estimated to be $y=2,803.1x^{-1.4641}$ ($r^2=0.9687$). In addition, The obvious relationship was indicated between number of cage (x) and sea weed production facilities (y) as y=1.1542x+10.832 ($r^2=0.918$) in Wando, because sea mustard (Undaria pinnatifida) or japanese tangle (Laminaria japonica) was supplied as a feed for abalone culture. The general pattern of relationship between shell length (x) and shell weight (y) of cultured abalone is estimated to be $y=0.1443x^{2.9461}$ ($r^2=0.9997$).

Integrated Equity Analysis Based on Travel Behavior and Transportation Infrastructure: In Gyeonggi-Do Case (교통인프라와 통행행태를 기반으로 한 통합적 형평성 분석: 경기도를 중심으로)

  • Bin, Miyoung;Lee, Won Do;Moon, Juback;Joh, Chang-Hyeon
    • Journal of Korean Society of Transportation
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    • v.31 no.4
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    • pp.47-57
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    • 2013
  • This study aims at analyzing transportation equity between geographical areas of Gyonggi Province, by taking both the transportation infrastructure and travel behavior into account. Indicators of transportation infrastructure include the indices of road infrastructure, transit infrastructure and regional characteristics. Travel behavior concerns information from bus card data on a survey day. The hot-spot analysis conducted included spatial cluster analysis and global/local regression analyses. The analysis results identified geographical areas of four different classes of transportation equity, from the area with high level infrastructure surrounded by the areas with high level infrastructure (HH) to the area with low level surrounded by the areas with low level (LL). The area of HH type showed big numbers of passengers, trips and transfers, whereas the area of LL type shows big figures of internal trip frequency, travel time, travel distance, travel speed and transit fare. Global regression analysis showed that number of passengers, number of transfers, number of internal trips and mean travel speed are important to the level of transportation infrastructure. GWR with these four significant variables significantly improved the AICs and ANOVA results, which implies that the infrastructure is likely explained by travel characteristics differently between geographical areas in Gyonggi Province.