• Title/Summary/Keyword: 대체인력

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A study on algal concentration analysis using a fluorescent sensor (형광센서를 활용한 조류 농도 분석에 대한 연구)

  • Lim, Jae Yeon;Kim, Gwang-Su;Nam, Su Han;Kim, Young Do
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.261-261
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    • 2022
  • 최근 국내 녹조현상의 빈도가 잦아지고, 지속기간이 증가하였다. 이러한 녹조현상은 이상기후로 인한 일사량, 수온, 체류시간 증가로 인한 환경적인 영향이 있으며, 산업단지 및 농지 등에서 유출되는 질소나 인의 부영양화로 인한 인위적 영향이 있다. 조류종 중 특히 남조류가 생장하는 과정에서 발생하는 독성물질(간독소, 신경독소), 이취미 물질(Geosmin, 2-MIB 등)은 수질을 악화시키고 있어 생태계에 큰 영향을 미친다. 조류는 하천에서 넓은 분포로 발생하게 되는데 현재 조류 조사 방법은 현장에 발생한 조류를 직접 채취하여 연구실에서 현미경으로 직접 검경하기 때문에 많은 인력과 시간, 비용이 소비되고 있는 실정이다. 국내에서는 인력과 시간을 줄이기 위해 센서를 활용한 조류분석 및 원격탐사 기법을 이용한 조류 모니터링에 대한 연구가 많이 진행되고 있다. 하지만 하천에서는 녹조류와 남조류 모두 혼합되어 존재하며 센서를 이용하여 조류를 분석할 시 녹조류는 Chl-a, 남조류는 Phycocyanin을 대체하여 분석하고 있다. 하지만 모든 조류는 광합성을 하기 때문에 Chl-a를 모두 함유하고 있어 Chl-a만으로 남조류를 추정하는 데에는 한계가 있다. 따라서 본 연구에서는 조류 계측장비인 LISST-HAB를 통하여 조류시료의 농도를 측정하여 Chl-a, Phycocyanin 농도를 측정하여 조류종 분류에 대한 분석을 진행하였다.

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Improvement Mechanism for Automatic Web Vulnerability Diagnosis (웹취약점 자동진단 개선방안)

  • Kim, Tae-Seop;Jo, In-June
    • The Journal of the Korea Contents Association
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    • v.22 no.2
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    • pp.125-134
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    • 2022
  • Due to the development of smartphone technology, as of 2020, 91.9% of people use the Internet[1] to frequently acquire information through websites and mobile apps. As the number of homepages in charge of providing information is increasing every year, the number of applications for web vulnerability diagnosis, which diagnoses the safety of homepages, is also increasing. In the existing web vulnerability check, the number of diagnostic personnel should increase in proportion to the number of homepages that need diagnosis because the diagnosticians manually test the homepages for vulnerabilities. In reality, however, there is a limit to securing a web vulnerability diagnosis manpower, and if the number of diagnosis manpower is increased, a lot of costs are incurred. To solve these problems, an automatic diagnosis tool is used to replace a part of the manual diagnosis. This paper explores a new method to expand the current automatic diagnosis range. In other words, automatic diagnosis possible items were derived by analyzing the impact of web vulnerability diagnosis items. Furthermore, automatic diagnosis identified possible items through comparative analysis of diagnosis results by performing manual and automatic diagnosis on the website in operation. In addition, it is possible to replace manual diagnosis for possible items, but not all vulnerability items, through the improvement of automatic diagnosis tools. This paper will explore some suggestions that can help improve plans to support and implement automatic diagnosis. Through this, it will be possible to contribute to the creation of a safe website operating environment by focusing on the parts that require precise diagnosis.

Reinforcement Learning Model for Mass Casualty Triage Taking into Account the Medical Capability (의료능력을 고려한 대량전상자 환자분류 강화학습 모델)

  • Byeongho Park;Namsuk Cho
    • Journal of the Society of Disaster Information
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    • v.19 no.1
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    • pp.44-59
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    • 2023
  • Purpose: In the event of mass casualties, triage must be done promptly and accurately so that as many patients as possible can be recovered and returned to the battlefield. However, medical personnel have received many tasks with less manpower, and the battlefield for classifying patients is too complex and uncertain. Therefore, we studied an artificial intelligence model that can assist and replace medical personnel on the battlefield. Method: The triage model is presented using reinforcement learning, a field of artificial intelligence. The learning of the model is conducted to find a policy that allows as many patients as possible to be treated, taking into account the condition of randomly set patients and the medical capability of the military hospital. Result: Whether the reinforcement learning model progressed well was confirmed through statistical graphs such as cumulative reward values. In addition, it was confirmed through the number of survivors whether the triage of the learned model was accurate. As a result of comparing the performance with the rule-based model, the reinforcement learning model was able to rescue 10% more patients than the rule-based model. Conclusion: Through this study, it was found that the triage model using reinforcement learning can be used as an alternative to assisting and replacing triage decision-making of medical personnel in the case of mass casualties.

An Algorithm for Detecting Residual Quantity of Ringer's Solution for Automatic Replacement (링거 자동 교체를 위한 잔량 검출 알고리즘)

  • Kim, Chang-Wook;Woo, Sang-Hyo;Zia, Mohy Ud Din;Won, Chul-Ho;Hong, Jae-Pyo;Cho, Jin-Ho
    • Journal of Korea Society of Industrial Information Systems
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    • v.13 no.1
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    • pp.30-36
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    • 2008
  • Recently, ere are many researches to improve the quality of e medical service such as Point of care (POC). To improve the quality of the medical service, not only good medical device but also more man power is required. Especially, the number of nurses are very few in Korea that is almost the lowest rank compared to OECD countries. If the simple repetition works of the nurse could be removed, it is possible to use the skillful nurse for other works and provide better quality services. There are many simple repetition works which the nurses have to do, such as replacing the ringer's solution. To replace the ringer's solution automatically, it is necessary to detect residual quantity of the ringer's solution. In this paper, image processing is used to detect the residual quantity of ringer's solution, and modified self quotient image (SQI) algorithm is used to strong background lights. After modified SQI algorithm, the simple histogram accumulation is done to find the residual quantity of the ringer's solution. The implemented algorithm could be use to replace the ringer's solution automatically or alarm to the nurses to replace the solution.

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A Qualitative Study on the Awareness of Makerspaces Operation among School Library Professionals (메이커스페이스 운영에 대한 학교도서관 전문인력의 인식에 관한 질적 탐구)

  • Jung, Youngmi;Kang, Bong-Suk
    • Journal of the Korean Society for Library and Information Science
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    • v.52 no.4
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    • pp.137-161
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    • 2018
  • The purpose of this study is identify the awareness and opinion of school librarians and teacher-librarians on the school library maker space. To do this, we used a semi-structured questionnaire to interview and analyzed in-depth telephone interviews of 7 school library professionals qualitatively. The recognition of makerspaces, the necessity of transforming school libraries into makerspaces and maker education, preparations and difficulties of implementation were investigated through the interview. As the result of interview analysis, school library professionals recognized that school library makerspace is essential to fulfill the users needs and important to enhance the library services. Also, school library professionals felt that it is desirable for the school library to function as a center for the in-school maker education program. Other important issues of the makerspace in school library were also identified. The key findings of this study are expected to be used as a momentum to activate the maker education centering on the school library.

Predicting Relative Superiority of TV Drama First Episodes based on the Quantitative Competency Index of the Cast and Crew (TV드라마 참여 인물의 계량 능력지표에 기반한 첫 회 시청률 상대적 우위 예측)

  • Ju, Sang Phil;Hong, June Seok;Kim, Wooju
    • The Journal of the Korea Contents Association
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    • v.19 no.6
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    • pp.179-191
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    • 2019
  • It is not easy to predict the return on investment in the content business, and there is no index to evaluate cast & crew. The absolute number of TV ratings is steadily declining, but there is no substitute index yet. In this study, we tried to predict the relative popularity of the drama by designing the relative superiority of the individual drama viewership as the response variable and designing the relative superiority of the drama participants as the explanatory variables. We used various machine learning algorithms and added explanatory variables that were found to be useful in previous studies. As a result, with properly combined explanatory variables, a high prediction accuracy of 84% is obtained. In this study, we intend to promote the investment efficiency of the entire contents industry by predicting the relative popularity of the contents.

A Study on the Job Stress and Job Satisfaction of Caregivers Substituting the Care of Family (가족돌봄 대체인력 요양보호사의 직무스트레스와 직무만족도)

  • Kim, Hee-Young;Kim, Sung-Hee
    • Journal of Family Resource Management and Policy Review
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    • v.15 no.3
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    • pp.117-129
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    • 2011
  • This study investigated the job stress and job satisfaction of caregivers who work to substitute the care of family. The purpose was to improve the quality of elderly welfare services and maintain a healthy family. Data were collected from 239 caregivers working in long-term care facilities in Gwangyang in Jeonnam in October 2010. They were analyzed using the SPSS 18.0 program. The statistics used for analysis were correlation and regression. The results of this study are as follows. First, most of the subjects were women in their forties or fifties. Most of them worked to support their families and, on average, earned less than 1.5 million won. The relation of job stress and job satisfaction appeared negative. The stress of relationships, income, and the number of clients had significant effects on job satisfaction. First and foremost, these results mean that a reduction in the job stress of caregivers is essential to provide them. So it is suggested that wage increases and more professional education or interpersonal skills training should be provided and a standardized test to assess job stress and job satisfaction should be prepared to improve the quality of caregivers.

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Development of Auto-navigation System having Automatically Changeable Function for Main Navigation Equipments (주요 항해장비의 자동대체기능을 가지는 항해자동화 시스템의 개발)

  • 이정우;이덕상;김득태;정일영;심탁섭;이성신;배진호
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2001.05a
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    • pp.737-740
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    • 2001
  • We develope the PC based SPS to improve safety at sea, save fuel and time during a voyage and makes mariner's work more efficient and comfortable in ship navigation, who propose the auto-navigation system with SPS as basic main system. Developed SPS operate the function to monitor navigational equipment and to substitute a broken main navigational equipment such as CIS, ECDIS, or Radar/ARPA, automatically. These can be improve more efficient and comfortable ship navigation and reduce these traffic accident. The SPS has the function as DB and network server, additionally.

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Characteristics of Replacement of Labor following Accidents in Agriculture (농작업 재해 발생에 따른 대체인력 고용 특성)

  • Lee, Yun Keun;Park, Hee Sok;Kim, Hyo Cher;Kim, Gyung Ran;Lee, Kyung Suk
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.28 no.4
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    • pp.346-351
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    • 2018
  • Objective: This study aims to provide information needed to determine the wages paid for replacement labor for work lost following accidents in agricultural operations. Methods: Visits and interviews were conducted with 171 farmers who experienced a loss of at least one day of work due to an agricultural workplace accident. Results: It was found that only 35.1% of the study participants hired replacement labor, and more replacement labor was hired in greenhouse and fruit workplaces than in open field work. The mean number of days of hiring replacement labor was 14.6 days, and no significant differences were found between the national average wage and the surveyed value, while female workers were paid less than their male counterparts. Conclusions: The results from this study would be of help in determining a reasonable level of compensation for lost work.

The Establishment of the Third Medium and Long Term Development Plan of the Comics Industry and the Policy of Training Professional Manpower (3차 만화산업중장기발전계획 수립과 전문인력양성 정책)

  • Kim, Byoung Soo;Lee, Won Seok
    • Cartoon and Animation Studies
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    • s.32
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    • pp.189-220
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    • 2013
  • It is expected that interests and supports for 'the creative economy' will increase considerably since the establishment of the Park Geun Hye Administration. According to a report with respect to its cultural policy handed in by the Minister of Culture to the president on March 28, 2013, the administration will set up a basic plan of establishing regional fusion-typed laboratories including such genres as story telling, animations, games, cartoons, performances, etc. in May this year, and opening contents Korea laboratories across the country by the first quarter in 2014 as part of its core task. Furthermore, it will focus on implementing such policies for training professional manpower as creative mentoring programs, expansion of education for field employees and expansion of a creative education for young students, including a plan to train 1,000 creative contents talents by 2017 as described in the report. Since the Comics Promotional Law took effect in August 2012, the Korea Culture and Content Agency and the Comics Industry have been establishing the third plan for medium and long term development of the comics industry together. One of the most important policy is about training professional manpower. "Joint Business with Creative Talents," in which the amount of 4.5 billion won was invested, has already been implemented, and "Support Business for Field Employees of Comics Creating Enterprises," in which the amount of 0.6 billion won was invested, has been performed so far through the Korea Comics Contents Agency upon the request of the Comics Industry. The government's plan to train professional manpower is interlocked with its foundation and employment policies, and thus, this will be a good opportunity for colleges and universities that have comics related majors, especially for those that need proper measures for bring their graduates a chance to get a job. Accordingly, it seems that if the government develops more aggressive policies, reflects this on the third medium and long term development plan of the comics industry, and then organizes policy and study meetings led by the learned societies to implement this, it will be able to generate a significant synergy effect. This Article will concentrate on first examining the flow and patterns of the policy to train special manpower by the comics industry, the Ministry of Culture and related institutions since the establishment of the Comics Promotional Law, analyzing some problems in the first and second medium and long term development plan of the comics industry to be implemented from 2003 through 2013 and the third medium and long term development plan to be announced in June 2013 to train professional manpower, and then suggesting an effective direction and some alternatives to train professional manpower in universities in a medium and long term way.