• Journal of The Korean Society of Clinical Toxicology
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• v.2 no.1
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• pp.1-6
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• 2004

Purpose: A number of reports about the intoxicated patients have been introduced, but there were few multicenter studies. The purpose of this study was to analyse the patients with toxic exposure in the Daejon province. Methods: The patients who were presented to the four academic emergency departments in Daejon with toxic exposure were enrolled from January to June 2003. The collected variables were according to the form which modified from the Toxic Exposure Surveillance System (TESS) of the American Association of Poison Control Centers. Results: The toxic exposure patients were 362 cases which is $0.78\%$ of total patients presented to the emergency department. The most common exposure site was home ($84\%$). Eighteen percent of cases were exposed by two or more substances. The most common substance was the pesticides ($34.8\%$), and the non-prescription drugs ($32.6\%$) was followed. The suicidal attempt was the top reason for exposure ($67.1\%$). The route of exposure other than ingestion was $3.6\%$. Although the most patients left the hospital within a day, the average treatment period was 4.4 days. Thirty-one patients ($8.6\%$) were expired, and 22 among them were exposed to the paraquat. Conclusion: We reported the current status of toxic exposure in Daejon province by modified TESS style.

• Korean Journal of Community Nutrition
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• v.22 no.4
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• pp.323-335
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• 2017

Objectives: The purpose of this study is to analyze the current status of nutrition education programs for multicultural families and to provide policy suggestions for improvement. Methods: In-depth interviews of a total of 21 multicultural experts were conducted; 15 people were interviewed individually, while 6 people were interviewed in groups of three. Results: In-depth interviews revealed various problems related to the operation of nutrition education programs. The causes of problems were analyzed and categorized as four factors: systemic, practical, environmental and cultural. As for the systematic factors, insufficient linkage between related organizations and duplicate performance of several projects were identified as concerns Establishment of a control tower and strengthening the linkage among the related organizations may be needed to address this concern. With regard to practical factors, the study identified that language barriers, and lack of nutritional education media and tools translated into multicultural languages were limiting factors. These limitations the development of nutrition education materials that aretranslated into multiple languages, implementation of education programs that are different from the Korean education, and by providing interpreters. As for the environmental factors, low educational level and poor nutritional knowledge of multicultural women made it difficult for them to understand the contents of the education. Demonstration, practical training and urgent education on pregnancy and childbirth nutrition were identified as needs to address these concerns. Withregard to cultural factors, food culture conflict with Korean families, and difficulties in home practices were detected as concerns. Participants in the study suggested that getting education with family and facilitation of weekend and nighttime programs health of this community. Conclusions: Further studies are needed to adopt more effective and efficient nutrition intervention to promote the healthy eating of the married immigrant women based on the study results.

• The Korean Journal of Rehabilitation Nursing
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• v.16 no.1
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• pp.37-46
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• 2013

Purpose: This study was to identify the effects of a nurse-led education program using computerized animation video for post-operative colon cancer patients. Methods: a total of 163 patients and 51 nurses were participated in this study. With a non-equivalent control group post-test design, patients were divided into three groups (77 got traditional education, 46 were applying brochure, 40 were watching video). Twelve-item animation video and brochure about the management after discharge for post-operative colon cancer patients were developed based on patient survey and the items of Korea Healthcare Accreditation. Results: The computerized video watching group had better satisfaction than the others, but there was no significant difference about comprehension. When video was applied, satisfaction, usefulness, application, and perceived patients' comprehension of nurses were all increased. Conclusion: This video education program was developed by nurses and it had a special thing for patient to access the same program even after discharge using the authorization system. It would be helpful for nurses to be more concentrated on the direct care for hospitalized patients as well as for patients to provide self-care at home. This program would be adjusted into more various diseases and settings.

• Journal of Intelligence and Information Systems
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• v.16 no.2
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• pp.95-108
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• 2010

In this paper, we present a hybrid neural network model for dynamic hand gesture recognition. The model consists of two modules, feature extraction module and pattern classification module. We first propose a modified CNN(convolutional Neural Network) a pattern recognition model for the feature extraction module. Then we introduce a weighted fuzzy min-max(WFMM) neural network for the pattern classification module. The data representation proposed in this research is a spatiotemporal template which is based on the motion information of the target object. To minimize the influence caused by the spatial and temporal variation of the feature points, we extend the receptive field of the CNN model to a three-dimensional structure. We discuss the learning capability of the WFMM neural networks in which the weight concept is added to represent the frequency factor in training pattern set. The model can overcome the performance degradation which may be caused by the hyperbox contraction process of conventional FMM neural networks. From the experimental results of human action recognition and dynamic hand gesture recognition for remote-control electric home appliances, the validity of the proposed models is discussed.

• Journal of Information Technology Services
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• v.15 no.4
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• pp.25-39
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• 2016

The drone is an unmanned aerial vehicle which has no human pilot. Drones can be classified into military drones, commercial drones, and personal drones by usage. Also, drones can be classified from large-sized to nano-sized drone by size and autonomous, remote controlled drone by control type. Especially, military drones can be classified into low-altitude drones, medium-altitude, and high-altitude drones by altitude. Recently, the drone industry is one of the fast growing industries in the world. As drone technologies have become more advanced and cost-effective, Korean government has set its goal to become a top-level country in drone business. However, the government's strict regulation for drone operations is one of the biggest hurdles for the development of the related technologies in Korea and other countries. For example, critical problems for drone delivery can be classified into technical issues and institutional issues. Technical issues include durability, conditional awareness, grasp and release mechanisms, collision avoidance systems, drone operating system. Institutional issues include pilot and operator licensing, privacy rules, noise guidelines, security rules, education for drone police. This study analyzes the trends of the drone industry from the viewpoint of technology and regulation. Also, we define the business areas of drone utilization. Especially, the drone business types or models for public sector are proposed. Drone services or functions promoting public interests need to be aligned with the business reference model of Korean government. To define ten types of drone uses for public sector, we combine the business types of government with the future uses of drones that are proposed by futurists and business analysts. Future uses of drones can be divided into three sectors or services. First, drone services for public or military sectors include early warning systems, emergency services, news reporting, police drones, library drones, healthcare drones, travel drones. Second, drone services for commercial or industrial services include parcel delivery drones, gaming drones, sporting drones, farming and agriculture drones, ranching drones, robotic arm drones. Third, drone services for household sector include smart home drones.

• Electronics and Telecommunications Trends
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• v.36 no.1
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• pp.89-98
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• 2021

The Ministry of National Defense aims to create an environment in which transparent and reasonable defense policies can be implemented in real time by establishing the vision of smart defense innovation based on the Fourth Industrial Revolution and promoting innovation in technology-based defense operation systems. Artificial intelligence (AI) based defense technology is at the level of basic research worldwide, includes no domestic tasks, and involves classified military operation data and command control/decision information. Further, it is needed to secure independent technologies specialized for our military. In the army, military power continues to decline due to aging and declining population. In addition, it is expected that there will be more than 500,000 units should be managed simultaneously, to recognize the battle situation in real time on the future battlefields. Such a complex battlefield, command decisions will be limited by the experience and expertise of individual commanders. Accordingly, the study of AI core technologies supporting real-time combat command is actively pursued at home and abroad. It is necessary to strengthen future defense capabilities by identifying potential threats that commanders are likely to miss, improving the viability of the combat system, ensuring smart commanders always win conflicts and providing reasonable AI digital staff based on data science. This paper describes the recent research trends in AI military staff technology supporting commander decision-making, broken down into five key areas.

• Journal of Internet of Things and Convergence
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• v.7 no.1
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• pp.1-7
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• 2021

The IoT market continues to expand and grow, but the security threat to IoT devices is also increasing. However, it is difficult to apply the security technology applied to the existing system to IoT devices that have a problem of resource limitation. Therefore, in this paper, we present a service that can improve the security of IoT devices by presenting authentication and lightweight cryptographic algorithms that can reduce the overhead of applying security features, taking into account the nature of resource limitations of IoT devices. We want to apply these service to home network IoT equipment to provide security. The authentication and lightweight cryptographic algorithm application protocols presented in this paper have secured the safety of the service through the use of LEA encryption algorithms and secret key generation by users, IoT devices and server in the IoT environment. Although there is no difference in speed from randomly generating secret keys in experiments, we verify that the problem of resource limitation of IoT devices can be solved by additionally not applying logic for secret key sharing to IoT devices.

• Journal of the Korean Society of Safety
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• v.38 no.2
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• pp.87-95
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• 2023

On October 29, 2022, a very large number of people gathered in Itaewondong, Yongsan-gu, Seoul, Korea for a Halloween festival, and as crowds pushed through narrow alleys, 159 deaths and 195 injuries occurred, making it the largest crushing incident in Korea. There have been a number of stampede deaths where crowds gathered at large-scale festivals, event venues, and stadiums, both at home and abroad. When the density increases, the physical contact between bodies becomes very strong, and crowd turbulence occurs when the force of the crowd is suddenly added from one body to another; thus, the force is amplified and causes the crowd to behave like a mass of fluid. When crowd turbulence occurs, people cannot control themselves and are pushed into he crowd. To prevent a stampede accident, investigation and management of areas expected to be crowded and congested must be systematically conducted, and related ministries and local governments are planning to establish a crowd management system to prepare safety management measures to prevent accidents involving multiple crowds. In this study, based on national data, a continuous digital topographic map is modeled in 3D to analyze the risk of crowding and present a plan for selecting high-risk walking routes. Areas with a high risk of crowding are selected in advance based on various data (numerical data, floating population, and regional data) in a realistic and feasible way, and the analysis is based on the visible results from 3D modeling of the risk area. The study demonstrates that it is possible to prepare measures to prevent cluster accidents that can reflect the characteristics of the region.

• Journal of Internet of Things and Convergence
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• v.9 no.2
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• pp.55-60
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• 2023

Recently, demand for cloud computing has increased and remote access due to home work and external work has increased. In addition, a new security paradigm is required in the current situation where the need to be vigilant against not only external attacker access but also internal access such as internal employee access to work increases and various attack techniques are sophisticated. As a result, the network security model applying Zero-Trust, which has the core principle of doubting everything and not trusting it, began to attract attention in the security industry. Zero Trust Security monitors all networks, requires authentication in order to be granted access, and increases security by granting minimum access rights to access requesters. In this paper, we explain zero trust and zero trust architecture, and propose a new cloud security system for strengthening access control that overcomes the limitations of existing security systems using zero trust and blockchain and can be used by various companies.

• Pediatric Infection and Vaccine
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• v.31 no.1
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• pp.102-112
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• 2024

Purpose: To identify the epidemiological characteristics and risk factors of coronavirus disease 19 (COVID-19) outbreaks depending on the type of educational facility by analyzing the COVID-19 cluster associated with educational facilities. Methods: This study is based on epidemiological investigation of COVID-19 cluster in Gangwon-do, Korea from December 10, 2020 to September 23, 2021 reported to the Korea Disease Control and Prevention Agency's Integrated Disease and Health Management System. Four hundred seven patients in 19 facilities, classified as cluster related to educational facilities, were the study population. The result of preliminary epidemiology survey report, in-depth epidemiological survey by phone and the result of risk assessment derived from the field epidemiology investigation were retrospectively analyzed to evaluate infectivity and the characteristics of the risk factors. Results: There were total of 407 confirmed patients related to 19 educational facilities, with 204 students under the age of 19 (50.1%). One hundred fifty-five preceding spreaders were from families (38.1%) and 125 were the teachers (30.7%). The place exposed to confirmed patients was the highest with 139 people (34.2%) at home. Conclusions: It was confirmed that the cause of the occurrence of clusters related to educational facilities was higher due to family transmission than the risk of facilities in schools. Nevertheless, continuous efforts should be made to control infection in educational facilities, and that teachers' implementation of principles for prevention of COVID-19 personal hygiene in their daily lives should be strengthened.