• Title/Summary/Keyword: Safety prevention

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Particle Filtration Efficiency Testing of Sterilization Wrap Masks

  • Chau, Destiny F.;O'Shaughnessy, Patrick;Schmitz, Michael L.
    • Journal of Preventive Medicine and Public Health
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    • v.54 no.1
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    • pp.31-36
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    • 2021
  • Objectives: Non-traditional materials are used for mask construction to address personal protective equipment shortages during the coronavirus disease 2019 (COVID-19) pandemic. Reusable masks made from surgical sterilization wrap represent such an innovative approach with social media frequently referring to them as "N95 alternatives." This material was tested for particle filtration efficiency and breathability to clarify what role they might have in infection prevention and control. Methods: A heavyweight, double layer sterilization wrap was tested when new and after 2, 4, 6, and 10 autoclave sterilizing cycles and compared with an approved N95 respirator and a surgical mask via testing procedures using a sodium chloride aerosol for N95 efficiency testing similar to 42 CFR 84.181. Pressure testing to indicate breathability was also conducted. Results: The particle filtration efficiency for the sterilization wrap ranged between 58% to 66%, with similar performance when new and after sterilizing cycles. The N95 respirator and surgical mask performed at 95% and 68% respectively. Pressure drops for the sterilization wrap, N95 and surgical mask were 10.4 mmH2O, 5.9 mmH2O, and 5.1 mmH2O, respectively, well below the National Institute for Occupational Safety and Health limits of 35 mmH2O during initial inhalation and 25 mmH2O during initial exhalation. Conclusions: The sterilization wrap's particle filtration efficiency is much lower than a N95 respirator, but falls within the range of a surgical mask, with acceptable breathability. Performance testing of non-traditional mask materials is crucial to determine potential protection efficacy and for correcting misinterpretation propagated through popular media.

Design and Implementation of Portable Electrostatic Meter Applicable to Industrial Site (산업 현장에 적용할 수 있는 휴대형 정전기 측정기 설계 및 구현)

  • Jang, Mun-Seok;Lee, Eung-Hyuk
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.6_2
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    • pp.971-977
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    • 2020
  • In this paper, We propose a portable electrostatic meter which can measure high voltage static electricity caused by friction to prevent fire or explosion accidents in grinding, crushing, power injection, transport, filling, dust removal, painting, and foreign matter removal processes. The proposed device not only shows static electricity strength in 4 steps with respect to distance and voltage but also gives warning with a buzzer, on process facilities that are likely to generate high voltage static electricity due to friction. The device is implemented by filtering the signal detected by the wireless antenna, amplifying the signal by 6 times, and passing the signal through the integrator circuit. Tests are carried out with an electrostatic discharge simulator. And the results show that 4 LEDs are turned on at the distance of 10cm, 3 LEDs at 12cm, 2 LEDs at 13cm, and 1 LED at 15cm, when a fixed voltage of 500V is given. And also, the tests show that the static electricity can be detected at 5cm on 100V, 10cm on 200V, 15cm on 500V, 20cm on 1000V, and 25cm on 1500V. We expect to reduce accidents caused by static electricity by allowing safety managers on fields where fire or explosion accidents can happen to monitor static electricity.

Analysis of the Driving & Loading Pattern of the Construction Waste Collecting Trucks Using IoT On-Board Truck Scale System (IoT 자중계 시스템을 활용한 건설폐기물 수집·운반 차량의 운행 및 적재패턴 분석)

  • Kim, Jong Woo;Jung, Young Woo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.6
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    • pp.74-87
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    • 2020
  • Overloaded trucks are the main source that threatens road safety and directly affects the reduction of pavement life. The On-board truck scale is the only equipment that could prevent overloading by measuring and adjusting the loading weight before driving. Legislation is needed to encourage its installation so that the driver can prevent overloading. In this study, an on-board truck scale system was installed on 30 dump trucks for transporting construction waste, such as soil and aggregates, which are major loads of 36.55% for overloading, and the trucks were monitored remotely. The overload prevention effect was analyzed by comparing driving data for 1 month before distribution of the weight display app that can recognize the weight to the driver and 1 month after distribution. After installation, overloading could be 6.1% reduced, and the transportation efficiency could be increased by checking the weight provided from the On-board truck scale system.

Face Information Conversion Mechanism to Prevent Privacy Infringement (프라이버시 침해 방지를 위한 얼굴 정보 변환 메커니즘)

  • Kim, Jinsu;Kim, Sangchoon;Park, Namje
    • The Journal of Korean Institute of Information Technology
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    • v.17 no.6
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    • pp.115-122
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    • 2019
  • CCTV(Closed-Circuit Television) is increasingly exposed to CCTV per person as the number of installations increases every year for accident prevention and facility safety. The intelligent video surveillance system technology is attracting attention to the privacy protection of exposed subjects. The intelligent video surveillance system performs a process for the privacy protection so as to perform the action type of the subject and the judgment of the situation in the simple identification of the photographed image data, or to prevent the information, from which the information of the photographed subject is exposed. The proposed technique is applied to the video surveillance system and converts the original image information taken from the video surveillance system into similar image information so that the original image information is not leaked to the outside. In this paper, we propose an image conversion mechanism that inserts a virtual face image that approximates a preset similarity.

Evaluation of Field Applicability of Helical Pile Using Hexagon Joints (육각형 이음부를 이용한 회전관입말뚝의 현장적용성 평가)

  • Jeong, Sangguk
    • The Journal of Engineering Geology
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    • v.30 no.4
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    • pp.635-648
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    • 2020
  • Performance improvement of helical piles in static load tests using hexagon joints that do not require welding or bolting was investigated. Two sites were selected for pile field tests to evaluate their bearing capacity. Static and pull-out load tests were undertaken to assess the method for estimating bearing capacity. The field tests indicated that the bearing capacity of the gravity grout pile was ≥600 kN in the static load test, consistent with the AC 358 Code. The non-grout pile had a bearing capacity of ≤600 kN, suggesting that gravity grouting is required. Field pile load-test results were used to establish the bearing capacity equation, based on a small number of helical pile.

Assessment of Livestock Infectious Diseases Exposure by Analyzing the Livestock Transport Vehicle's Trajectory Using Big Data (빅데이터 기반 가축관련 운송차량 이동경로 분석을 통한 가축전염병 노출수준 평가)

  • Jeong, Heehyeon;Hong, Jungyeol;Park, Dongjoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.6
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    • pp.134-143
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    • 2020
  • With the worldwide spread of African swine fever, interest in livestock epidemics is growing. Livestock transport vehicles are the main cause of the spread of livestock epidemics, but no empirical quarantine procedures and standards related to the mobility of livestock transport vehicles in South Korea. This study extracted livestock-related vehicles' trajectory by utilizing the facility visit history data from the Korea Animal Health Integrated System and the DTG (Digital Tachograph) data from the Korea Transportation Safety Authority and presented them as exposure indexes aggregating the link-time occupancy of each vehicle. As a result, a total of 274,519 livestock-related vehicle trajectories were extracted, and exposure values by link and zone were quantitatively derived. Through this study, it is expected that prior monitoring of livestock transport vehicles and the establishment of post-disaster prevention policies would be provided.

A user interface design of the health QR code system in China (중국 보건 QR 코드 시스템의 사용자 인터페이스 설계)

  • Zhu, Qiming;Pan, Young-Hwan
    • Journal of the Korea Convergence Society
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    • v.12 no.1
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    • pp.37-47
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    • 2021
  • In the pandemic era, smart medical technology has also been applied to prevent and control diseases such as COVID-19. Health QR code system shave sparked recent discussion in the hopes of improving its convenience and safety. The many types of current health QR code systems in China exists causes inconvenience to those that are vulnerable, as well as raising the issue of personal information protection. In order to solve this problem, this paper proposes transparent integration of the health QR code systems and the process of protecting personal information, as well as designs an interface for user convenience. Through the method presented in this paper and the newly designed interface, users can enjoy the smart pharmaceutical system more conveniently and safely, and ensure effective results in the prevention and control of diseases that are likely to spread.

Development of Snow Load Sensor and Analysis of Warning Criterion for Heavy Snow Disaster Prevention Alarm System in Plastic Greenhouse (비닐온실 폭설 방재 예·경보 시스템을 위한 설하중 센서 개발과 적설 경보 기준 분석)

  • Kim, Dongsu;Jeong, Youngjoon;Lee, Sang-ik;Lee, Jonghyuk;Hwang, Kyuhong;Choi, Won
    • Journal of The Korean Society of Agricultural Engineers
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    • v.63 no.2
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    • pp.75-84
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    • 2021
  • As the weather changes become frequent, weather disasters are increasing, causing more damage to plastic greenhouses. Among the damage caused by various disasters, damage by snow to the greenhouse takes a relatively long time, so if an alarm system is properly prepared, the damage can be reduced. Existing greenhouse design standards and snow warning systems are based on snow depth. However, even in the same depth, the load on the greenhouse varies depending on meteorological characteristics and snow density. Therefore, this study aims to secure the structural safety of greenhouses by developing sensors that can directly measure snow loads, and analysing the warning criteria for load using a stochastic model. Markov chain was applied to estimate the failure probability of various types of greenhouses in various regions, which let users actively cope with heavy snowfall by selecting an appropriate time to respond. Although it was hard to predict the precise snow depth or amounts, it could successfully assess the risk of structures by directly detecting the snow load using the developed sensor.

The category and education curriculum of Medical humanities - focus on Korean Medicine Education - (인문사회의학(의료인문학)의 범주와 교육과정 - 한의학 교육 중심으로 -)

  • Park, Haemo;Sun, Seung Ho
    • Journal of Society of Preventive Korean Medicine
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    • v.25 no.2
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    • pp.99-111
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    • 2021
  • Objective : The definitions and categories of subjects related to humanities and social medicine are still controversial, and we tried to find the areas lacking compared to the standards of medical education Method : Humanities and social medicine-related subjects of the World Medical Education Standards, ASK2019, and KAS2021 were reviewed, and humanities and social medicine subjects of the College of Korean Medicine were searched. We compared subjects with the medical school learning outcomes and Korean Medicine Doctors' job competency. In order to increase validity, two authors independently classified them. In case of different opinions, we revised after sufficient discussion Results : Humanities and social medicine-related subjects in the Korean Medicine curriculum appear to be sufficient when compared with WFME and ASK2019. The humanities and social medicine-related subjects of Korean Medicine schools were not distributed evenly throughout. The areas to be supplemented in Korean Medicine education were 'a diverse understanding of life and death', 'prevention and response to patient safety incidents', 'effective communication with health-related organizations and groups', 'social responsibility and reflective practice' and 'communication between health and medical professions'. Conclusion : Humanities and social medicine-related subjects in Korean Medicine education are sufficient, but they are not evenly distributed, and the areas listed above need to be reinforced.

Detection Algorithm of Road Surface Damage Using Adversarial Learning (적대적 학습을 이용한 도로 노면 파손 탐지 알고리즘)

  • Shim, Seungbo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.4
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    • pp.95-105
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    • 2021
  • Road surface damage detection is essential for a comfortable driving environment and the prevention of safety accidents. Road management institutes are using automated technology-based inspection equipment and systems. As one of these automation technologies, a sensor to detect road surface damage plays an important role. For this purpose, several studies on sensors using deep learning have been conducted in recent years. Road images and label images are needed to develop such deep learning algorithms. On the other hand, considerable time and labor will be needed to secure label images. In this paper, the adversarial learning method, one of the semi-supervised learning techniques, was proposed to solve this problem. For its implementation, a lightweight deep neural network model was trained using 5,327 road images and 1,327 label images. After experimenting with 400 road images, a model with a mean intersection over a union of 80.54% and an F1 score of 77.85% was developed. Through this, a technology that can improve recognition performance by adding only road images was developed to learning without label images and is expected to be used as a technology for road surface management in the future.