• Journal of Convergence for Information Technology
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• v.9 no.10
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• pp.108-113
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• 2019

In relation to $4^{th}$ industrial revolution, it is required to build a smart agricultural system using the pest control drones, which are emerging fast these days as a role to support pest control work of farmers and improve aging issues in farming. However, the absence of accurate criteria on management of the pest control drones and the effect of pesticide application is leading to damage to crops by pesticides. The extreme shortage of analysis of management of the pest control drones and relevant studies, and big differences in pest control efficiency depending on the operation skills of controllers are the biggest reasons for the damage. Therefore, this paper suggests a basic study on agricultural pest control drone operation system buildup to make out working schedules and calculate the dosage of pesticide by understanding the features of the pest control drones properly based on the control using smart operating mode.

• Clinical and Experimental Pediatrics
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• v.64 no.4
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• pp.141-148
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• 2021

There are very scant data on the epidemiology of primary immunodeficiency diseases (PIDs) in Korea. Here we attempted to estimate the PID epidemiology and disease burden in Korea. A systematic review was performed of studies retrieved from the PubMed, KoreaMed, and Google Scholar databases. Studies on PIDs published in Korean or English between January 2001 and November 2018 were analyzed. The number of PID patients and the healthcare costs were estimated from Health Insurance Review and Assessment Service (HIRA) Korea data for 2017. A total of 398 PID patients were identified from 101 reports. Immunodeficiencies affecting cellular and humoral immunity were reported in 11 patients, combined immunodeficiency with associated or syndromic features in 40, predominantly antibody deficiencies in 144, diseases of immune dysregulation in 58, congenital defects of phagocytes in 104, defects in the intrinsic and innate immunity in 1, auto-inflammatory disorders in 4, complement deficiencies in 36, and phenocopies of PID in none. From the HIRA reimbursement data, a total of 1,162 outpatients and 306 inpatients were treated for 8,166 and 6,149 days, respectively. In addition, reimbursement was requested for 8,200 outpatient and 1,090 inpatient cases and $1,924,000 and $4,715,000 were reimbursed in 2017, respectively. This study systematically reviewed published studies on PID and analyzed the national open data system of the HIRA to estimate the disease burden of PID, for the first time in Korea.

• Laboraroty Animal Research
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• v.34 no.4
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• pp.311-316
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• 2018

Laboratory inbred mice are used widely and commonly in biomedical research, but inbred mice do not have a big enough gene pool for the research. In this study, genetic and morphometric analyses were performed to obtain data on the characteristics of a newly developing inbred strain (KWM/Hym) captured from Chuncheon, Korea. All of five Korean wild male mice have the zinc-finger Y (ZfY) gene. Also, all of 19 Korean wild mice used in this analysis have the AKV-type murine leukemia virus gene, indicating that Korean wild mice might be Mus musculus musculus. To identify the genetic polymorphism in KWM/Hym, SNP analysis was performed. In a comparison with 28 SNP markers, there was a considerable difference between KWM/Hym and several inbred strains. The homogeneity between KWM/Hym and the inbred strains was as follows: C57BL/6J (39.3%), BALB/c AJic (42.9%), and DBA/2J (50%). KWM/Hym is most similar to the PWK/PhJ inbred strain (96.4%) derived from wild mice (Czech Republic). To identify the morphometric characteristics of KWM/Hym, the external morphology was measured. The tail ratio of male and female was $79.60{\pm}3.09$ and $73.55{\pm}6.14%$, respectively. KWM/Hym has short and agouticolored hairs and its belly is white with golden hair. Taking these results together, KWM/Hym, a newly developing inbred mouse originated from wild mouse, might be use as new genetic resources to overcome the limitations of the current laboratory mice.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.4
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• pp.81-87
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• 2021

Artificial intelligence technology is developing as it enters the fourth industrial revolution. Active researches are going on; visual-based models using CNNs. U-net is one of the visual-based models. It has shown strong performance for semantic segmentation. Although various U-net studies have been conducted, studies on tracking objects with unclear outlines such as gases and smokes are still insufficient. We conducted a U-net study to tackle this limitation. In this paper, we describe how 3D cameras are used to collect data. The data are organized into learning and test sets. This paper also describes how U-net is applied and how the results is validated.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.705-710
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• 2021

Nowadays, cutting-edge information communication technology is the genuine core technology of the fourth Industrial Revolution and is still making great progress rapidly among various technology fields. The biggest issue in ICT fields is the machine learning based Artificial Intelligence applications using big data in cloud computing environment on the basis of wireless network, and also the technology fields of autonomous control applications such as Autonomous Car or Mobile Robot. Since value of the high-tech ICT technology depends on the surrounded environmental factors and is very flexible, the precise technology valuation method is urgently needed in order to get successful technology transfer, transaction and commercialization. In this research, we analyze the characteristics of the high-tech ICT technology and the main factors in technology transfer or commercialization process, and propose the precise technology valuation method that reflects the characteristics of the ICT technology through phased analysis of the existing technology valuationmodel.

• Journal of Korean Neurosurgical Society
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• v.65 no.4
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• pp.507-513
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• 2022

Objective : The goal of the following statewide age and gender-coordinated cohort study in Korea is to find out if there is a link between acute myocardial infarction (AMI) and Parkinson's disease (PD). Methods : Utilizing the National Health Insurance Sharing Service cohort, patient data were collected. Six thousand four hundred seventy-five individuals with PD were distinguished by utilizing the International Classification of Diseases 10 code G20 and have enrolled in the PD group. The number of participants decreased to 5259 after excluding 1039 patients who were hospitalized less than one time or who visited an outpatient clinic less than twice. Then, 26295 individuals were selected as part of the control group after case control matching was conducted through 1 : 5 age- and gender-coordinated matching. The Cox proportional hazard regression analysis and Kaplan-Meier method were utilized to analyze the likelihood of AMI in PD. Results : After controlling for age and gender, the hazard ratio of AMI in the PD group was 3.603 (95% confidence interval [CI], 2.837-4.577). After that, the following hazard ratio of AMI in the PD group was modified against for co-morbid medical disorders, resulting in 3.551 (95% CI, 2.795-4.511). According to a subgroup analysis, in males and females aged <65 and aged ≥65 and in the non-diabetes and diabetes, hypertension and non-hypertension, dyslipidemia and non-dyslipidemia subgroups, the AMI incidence rates were dramatically higher in the PD group compared to that of the control. Conclusion : Individuals with PD have a greater chance of AMI, according to this cross-national study.

• Journal of the Society of Disaster Information
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• v.18 no.3
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• pp.470-477
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• 2022

Purpose: As the Act on Punishment of Serious Accidents came into effect in January 2022, it is becoming a big social issue in the labor and management circles. The purpose of this law is to analyze problems and suggest improvement plans so that the purpose of protecting lives and bodies by preventing major accidents can be met. Method: The main contents of the relevant law were identified, and the current application status of the currently enforced law and problems by law were analyzed. Result: Currently, more than 50 accidents have occurred and they have been classified as serious accidents, and no punishment has been imposed under the relevant laws. There are four major problems: 1) the issue of equity in the applied workplace, 2) the lack of clarity in some legal provisions, 3) the issue of entrusting the obligation to secure safety and health to private organizations, and 4) the issue of excessive punishment regulations. was analyzed as. Conclusion: As the law is in the early stages of enforcement, there are trials and errors, but revisions are necessary through the efforts of the labor and management circles to meet the establishment and purpose of the law.

• Knowledge Management Research
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• v.23 no.4
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• pp.21-41
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• 2022

With the development of AI and digital technologies such as big data, metaverse, and the Internet of Things, Robotic Process Automation (RPA) has brought great development and change to companies. Among these realistic industrial areas by RPA, the call center service area, which consists of a combination of complex high-tech systems and professional operation groups, has now reached the stage where AI is conducting counseling. The evolution of this digital transformation has become an important direction of change in the digital-related industry sector. Along with these changes, there have been many changes in the technical stress of the members of the organization within the RPA organization and their solutions. In this study, the representative psychological mechanisms were presented as Digital Shadow Work (DSW), expressed as 'unpaid work', and Organizational Citizenship Behavior (OCB), which is 'an act that helps organizations other than their duties'. This study theoretically contributes to the extension of the DSW concept to the organizational members.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.491-491
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• 2021

댐·보 운영은 과거부터 많은 양의 데이터를 근간으로 분석 및 의사결정을 진행하였으나, 자연 현상의 복잡성 및 다양한 영향 관계로 인해 기술개발은 답보 상태에 머물러 있다. 또한 댐·보 운영의 기술개발은 개별적인 일부 요소기술에 국한되어 있는 실정으로 댐·보 운영의 전체 의사결정체계에 대한 미래의 방향성에 대한 전략이 부재한 상황이다. 이에 기후변화, 물관리일원화, 환경대응용수의 활용, 복합적 제약사항 도출 등 최적 댐·보 운영을 위한 의사결정지원 고도화에 대한 사회적 니즈가 증가를 반영하고, 기존의 재래적 의사결정지원 시스템 및 홍수분석기술에서 탈피하여 AI, Big Data 등 혁신 기술적용 및 최신기술 트렌드를 반영한 미래 물관리 로드맵의 제시가 필요한 상황이다. 본 연구의 목적은 홍수기 댐운영을 위해 기존 반복 분석하는 일련의 절차 자동화와 운영자의 경험에 따라 달라지는 운영방법의 일반화를 위한 AI의 도입에 있다. 기존 홍수분석체계를 살펴보면 저수지 홍수분석, 저수지 수위계산, 방류량 결정, 분석결과와 제약사항의 비교 같은 일련의 절차에 대해서 합리적인 결과가 도출될 때까지 반복 분석을 수행하여야 한다. 분석모형간 연계와 재래적 방법의 자동화를 도입하면 홍수분석에 소요되는 시간을 줄일 수 있어, 사전에 대비할 수 있는 시간을 추가적으로 확보할 수 있게 된다. 또한 홍수기 댐운영 방법이 운영자의 경험에 의존하다 보니 운영자마다 다른 운영방법을 도출하게 되는데, 과거사례의 최적 운영방안을 학습시킨 AI를 도입하게 되면 일관성있는 최적 댐운영이 가능할 것으로 판단된다. 이에 본 연구에서는 홍수분석 절차의 자동화, DB 및 통계모형 구축, 분석결과 및 제약사항의 직관적인 표출화, AI 도입을 통한 운영방안의 일반화 등 기존 재래기술의 개선을 통해 최적 댐운영 의사결정지원시스템의 고도화를 추진하고자 한다.

• Convergence Security Journal
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• v.22 no.2
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• pp.27-42
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• 2022

In the era of the Fourth Industrial Revolution, digital transformation to increase the effectiveness of industry is becoming more important to achieving the goal of industrial innovation. The digital new deal and smart defense are required for digital transformation and utilize artificial intelligence, big data analysis technology, and the Internet of Things. These changes can innovate the industrial fields of national defense, society, and health with new intelligent services by continuously expanding cyberspace. As a result, work productivity, efficiency, convenience, and industrial safety will be strengthened. However, the threat of cyber-attack will also continue to increase due to expansion of the new domain of digital transformation. This paper presents the risk scenarios of cyber-attack threats in the Fourth Industrial Revolution. Further, we propose a preemptive intrusion response model to bolster the complex security environment of the future, which is one of the fundamental alternatives to solving problems relating to cyber-attack. The proposed model can be used as prior research on cyber security strategy and technology development for preemptive response to cyber threats in the future society.