• Title/Summary/Keyword: Risk Situation Recognition

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AIoT-based High-risk Industrial Safety Management System of Artificial Intelligence (AIoT 기반 고위험 산업안전관리시스템 인공지능 연구)

  • Yeo, Seong-koo;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.168-170
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    • 2022
  • The government enacted and promulgated the 'Severe Accident Punishment Act' in January 2021, and is enforcing the law for workplaces with 50 or more full-time workers. However, the number of industrial accident accidents in 2021 increased by 10.7% compared to the same period of the previous year, and chemical gas Safety accidents due to leaks and explosions also occur frequently. Therefore, in high-risk industrial sites, comprehensive Safety measures are urgently needed. In this study, BLE Mesh networking in industrial sites with poor communication environment apply technology. The complex sensor AIoT device recognizes a dangerous situation as a gas sensing value, voice, and motion value, and transmits it to the server. The server monitors the risk situation in real time through information value analysis and judgment through artificial intelligence LSTM algorithm and CNN algorithm for AIoT transmission information. Through this study, through the development of AIoT devices capable of gas sensing, voice and motion recognition, and AI-applied safety management systems, It will contribute to the expansion of the social safety net by expanding its application.

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Invader Detection System Using the Morphological Filtering and Difference Images Based on the Max-Valued Edge Detection Algorithm

  • Lee, Jae-Hyun;Kim, Sung-Shin;Kim, Jung-Min
    • Journal of Advanced Marine Engineering and Technology
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    • v.36 no.5
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    • pp.645-661
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    • 2012
  • Recently, pirates are infesting on the sea and they have been hijacking the several vessels for example Samho Dream and Samho Jewelry of Korea. One of the items to reduce the risk is to adopt the invader detection system. If the pirates break in to the ship, the detection system can monitor the pirates and then call the security alarm. The crew can gain time to hide to the safe room and the report can be automatically sent to the control room to cope with the situation. For the invader detection, an unmanned observation system was proposed using the image detection algorithm that extracts the invader image from the recording image. To detect the motion area, the difference value was calculated between the current image and the prior image of the invader, and the 'AND' operator was used in calculated image and edge line. The image noise was reduced based on the morphology operation and then the image was transformed into morphological information. Finally, a neural network model was applied to recognize the invader. In the experimental results, it was confirmed that the proposed approach can improve the performance of the recognition in the invader monitoring system.

Analysis for Heart Disease and Predictive Predictions Factor (심장질환 및 뇌졸중 예측 및 요인 분석)

  • You-Sik Hong;Chang-Pyoung Han
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.5
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    • pp.111-116
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    • 2024
  • These days, the number of patients committing suicide due to depression and stress is rapidly increasing. In addition, if stress and depression persist for a long time, it can cause heart disease, brain disease, and high blood pressure. Arteriosclerosis, known as the main cause of cerebrovascular disease, is a dangerous disease in which cholesterol accumulates in blood vessels, narrowing them. However, no matter how much modern medicine has developed, stroke patients are in a very difficult situation with no special medicine or treatment. In this paper, to solve these problems, we proposed a smart electronic acupuncture device that treats patients' diseases based on electronic acupuncture. In addition, an algorithm for predicting the risk of health status of stroke patients and a posture recognition algorithm were proposed and a computer simulation experiment was performed.

Diagnosis and Evaluation for the Early Detection of Delirium (섬망의 조기 발견을 위한 진단 및 평가 방법)

  • Chon, Young-Hoon;Lee, Sang-Yeol
    • Korean Journal of Psychosomatic Medicine
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    • v.19 no.1
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    • pp.3-14
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    • 2011
  • Delirium is a common psychiatric disorder and occurs in many hospitalized older patients and has serious consequences including increased mortality rate. Despite its importance, health care clinicians often fail to recognize delirium or misdiagnosed as other psychiatric illness. Awareness of the etiologies and risk factors of delirium should enable clinicians to focus on patients at risk and to recognize delirium symptoms early. To improve early recognition of delirium, emphasis should be given to terminology, psychopathology and knowledge regarding clinical rating scale for delirium in the specific medical and surgical clinical settings. In this study, authors introduce rating scales for delirium and knowledge of clinical diagnostic process for delirium and give rise to appropriate assessment of delirium in the clinical situation.

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Challenges and Future Directions for Health Promotion Practice and Research in Private Sectors: Focusing on the KAHP Experiences (민간부문의 건강증진 사업과 연구 현황, 발전방향과 과제 - 한국건강관리협회의 건강증진 사업과 연구를 중심으로 -)

  • Cho, Han-Ik
    • Korean Journal of Health Education and Promotion
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    • v.29 no.4
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    • pp.39-56
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    • 2012
  • Objectives: This paper aims to discuss the current situation of and future directions for health promotion practice(HPP) and research in private sectors in Korea. Methods: Publications and web-site information of public health organizations, WHO-Health Promoting Hospitals member institutes, health/medical academic societies, and professional unities were collected and reviewed. Activities of Korea Association of Health Promotion(KAHP) were described in detail considering its leading role in health examination and promotion field in Korea. Results: The most common HPPs in private sectors were health education and public health campaigns for the prevention and management of diseases. Tailored health promotion programs for lifestyle changes and longitudinal follow-ups were the routine process for managing high risk groups at KAHP. Health promotion research in private sectors have focused on identifying health problems and behavioral determinants, and planning, implementing and evaluating health promotion programs. The most serious issues in HPPs of the private sectors were limited budget and manpower along with a lack of public recognition and a system-level support. Conclusion: To promote HPPs and research in private sectors, a system for financial sustainability should be introduced. They also need scientific evidence from research. 'Borderline medicine', a discipline specialized in management of high risk borderline group, could lead HPPs to sustainable private practices.

A Study on the Development of Taxi Safety Support System Using the Beacon Device (비콘 단말기를 이용한 택시안심이용시스템의 구현에 관한 연구)

  • Kim, Yong-Tae;Kim, Jin-Man
    • Journal of the Korean Institute of Intelligent Systems
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    • v.26 no.6
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    • pp.452-457
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    • 2016
  • In this paper, we propose a taxi safety support system using the beacon device to reduce the anxiety and increase the satisfaction of taxi passengers. At first, we design a USB-type low power beacon device that can be easily installed inside a taxi and propose a distance and estimation method using beacon signal strength. Mobile applications for passengers and drivers based on beacon signals are developed. The server operation program for situation recognition, position estimation, risk management and notification of the taxi passenger is also developed. An accident risk management method is proposed using the recognition of getting on and off of the taxi passenger. The proposed methods are verified for applicability and usefulness through practical experiments.

A Study on Intelligent Edge Computing Network Technology for Road Danger Context Aware and Notification

  • Oh, Am-Suk
    • Journal of information and communication convergence engineering
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    • v.18 no.3
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    • pp.183-187
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    • 2020
  • The general Wi-Fi network connection structure is that a number of IoT (Internet of Things) sensor nodes are directly connected to one AP (Access Point) node. In this structure, the range of the network that can be established within the specified specifications such as the range of signal strength (RSSI) to which the AP node can connect and the maximum connection capacity is limited. To overcome these limitations, multiple middleware bridge technologies for dynamic scalability and load balancing were studied. However, these network expansion technologies have difficulties in terms of the rules and conditions of AP nodes installed during the initial network deployment phase In this paper, an intelligent edge computing IoT device is developed for constructing an intelligent autonomous cluster edge computing network and applying it to real-time road danger context aware and notification system through an intelligent risk situation recognition algorithm.

Safety Management Factor Analysis of Expert Perceptions Based on 4M Method for Plant Construction Phase (플랜트 시설물 시공단계의 4M기법을 활용한 전문가 인식조사에 의한 안전관리요인 분석)

  • Kim, Kyujin;Choi, Byungsun;Chun, Jaeyoul
    • Korean Journal of Construction Engineering and Management
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    • v.17 no.1
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    • pp.18-27
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    • 2016
  • The purpose of this study is to classify main risk factors on a construction phase of a plant project and analyze importance by the risk factors. Plant Industry is continuing boom and the increase in overseas plant orders in 2014 has showed a performance increase of 61% of the total orders, as the plant industry are risk factors for the construction phase, safety management target recognition and variety of accident prevention and safety factors by importance, etc. a situation that requires the development and introduction of management. So, it is performed that collected disaster conditions data on a construction phase of a plant project, is questioned by plant construction professional and is classified by 4M. Then, it is performed that is questioned by plant construction and safety professional in order to apply AHP method, and is presented from analyzing the risk factors, which are results of the survey, by importance and priority. This study will recognize from identifying the main risk factors in advance and will be utilized as a basic data is to prevent the risk factors.

Study of Recognition about Hospital Infection Management in Physical Therapists (물리치료사의 병원 감염관리에 대한 인지도 연구)

  • Song, Min-Young;Lee, Tae-Sik
    • Journal of Korean Physical Therapy Science
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    • v.9 no.3
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    • pp.141-150
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    • 2002
  • Most of physical therapists has thought be exposed themselves to risk of hospital infection but it is reported that have been low concern about infection management. Above like this haven t done systematical education on hospital infection, also physical therapist's information management of infection disease is found very low. It is lack of driving information about disease condition of the patients. Physical therapists has thought their working room may be polluted a lots of micro-organism(%). The control situation of infection waste articles, only 53% responded that the controller has managed very intensive so we can feel to need more intensive It's reported that air culture investigation of physical therapy room has never initiated. To wash the hand, before, after treatment of the patients of physical therapist, is very low frequency. And 73% have responded that the time to wash the hand stays 15-45 second. It is examined that 70% physical therapy room is equipped with washing system, a response of 58% disinfects physical therapy room 1-2times per one month. 36% responded disinfection of treatment modality have done everyday, 25% responded have never done. The location physical therapy room is above one floor - 65%. A response of 57% is ventilation system sufficiency, it is considered that physical therapists needs more efforts on management of hospital infection.

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Research of Vehicles Longitudinal Adaptive Control using V2I Situated Cognition based on LiDAR for Accident Prone Areas (LiDAR 기반 차량-인프라 연계 상황인지를 통한 사고다발지역에서의 차량 종방향 능동제어 시스템 연구)

  • Kim, Jae-Hwan;Lee, Je-Wook;Yoon, Bok-Joong;Park, Jae-Ung;Kim, Jung-Ha
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.5
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    • pp.453-464
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    • 2012
  • This is a research of an adaptive longitudinal control system for situated cognition in wide range, traffic accidents reduction and safety driving environment by integrated system which graft a road infrastructure's information based on IT onto the intelligent vehicle combined automobile and IT technology. The road infrastructure installed by laser scanner in intersection, speed limited area and sharp curve area where is many risk of traffic accident. The road infra conducts objects recognition, segmentation, and tracking for determining dangerous situation and communicates real-time information by Ethernet with vehicle. Also, the data which transmitted from infrastructure supports safety driving by integrated with laser scanner's data on vehicle bumper.