• Title/Summary/Keyword: safety life support

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The test methods of Lifting performance and Environmental resistance tests using power assist device for a fireman to rescue humans (인명구조용 소방대원 근력지원장치의 양중성능 및 내환경 시험 방법)

  • Lee, Minsu;Park, Chan;Lee, Seonmin;Lee, Dongeun
    • Journal of the Society of Disaster Information
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    • v.13 no.3
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    • pp.358-365
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    • 2017
  • As the damage caused by disasters increases rapidly around the world, it is necessary to develop the technology for equipment to reduce human injury. Therefore in the support of fire safety and 119 rescue and rescue technology research and development project, in the "Development of a power assist device for a fireman to rescue humans(2015 ~ 2018)" for life saving restoration, we are developing equipment that satisfies the lifting performance considering the disaster environment and the disaster response scenario(Amount of load over 100 kg, height of over 1 m, height over middle 60 cm, speed over 0.2 m/s). In this study, we propose a lifting performance and environmental test method to evaluate the usefulness of the power-assisted device and analyze and verify detailed specifications of the device through dynamics analysis of the lifting performance test. This study suggests that the proposed test method can be applied practically to evaluate whether a stable performance of a power-assisted device is achieved.

Activities and Planning for KRS Coordinates Maintenance

  • Kang, Hee Won;Cho, Sunglyong;Kim, Heesung;Yun, Youngsun;Lee, ByungSeok
    • Journal of Positioning, Navigation, and Timing
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    • v.11 no.4
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    • pp.327-332
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    • 2022
  • The Korea Augmentation Satellite System (KASS) is the Satellite-Based Augmentation System (SBAS) under development in Korea. KASS navigation service support navigation Safety of Life (SoL) service. KASS signal provides corrections to Global Positioning System (GPS) data received from KASS Reference Stations (KRS) and is broadcast form Geostationary Earth Orbiting (GEO) satellites to KASS users and is used by GPS/SBAS user equipment to improve the accuracy, availability, continuity and integrity of the navigation solution. Seven KRS's collect the satellite data and send them to the KASS Processing Stations (KPS) for the generation of the corrections and the monitoring the integrity. For performing its computation the KPS needs to know accurate and reliable KRS antennas coordinates. These coordinates are provided as configuration parameters to the KPS. This means that the reference frame in which the KPS work is the one represented by the set of coordinates provided as input. Therefore, the activity to maintain the accuracy of the KRS antenna coordinates is necessary, knowing that coordinates can evolve due to earth plates movements or earthquakes. In this paper, we analyzed the geodetic survey results for KRS antenna coordinates from Site Acceptance Test (SAT) #1 in December 2020 to August 2022. In the future, it is expected that these activities and planning for KRS coordinates maintenance will be produced and provided to KASS system operators for KPS configuration updates during the KASS lifetime of 15 years. Through these maintenance activities, it is expected that monitoring and analysis of unpredictable events such as earthquakes and seism will be possible in the future.

Prediction of drowning person's route using machine learning for meteorological information of maritime observation buoy

  • Han, Jung-Wook;Moon, Ho-Seok
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.1-12
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    • 2022
  • In the event of a maritime distress accident, rapid search and rescue operations using rescue assets are very important to ensure the safety and life of drowning person's at sea. In this paper, we analyzed the surface layer current in the northwest sea area of Ulleungdo by applying machine learning such as multiple linear regression, decision tree, support vector machine, vector autoregression, and LSTM to the meteorological information collected from the maritime observation buoy. And we predicted the drowning person's route at sea based on the predicted current direction and speed information by constructing each prediction model. Comparing the various machine learning models applied in this paper through the performance evaluation measures of MAE and RMSE, the LSTM model is the best. In addition, LSTM model showed superior performance compared to the other models in the view of the difference distance between the actual and predicted movement point of drowning person.

Qualitative Study for Barriers for Medication and Health Care Service Use among the Visually Impaired and Hearing Impaired in Korea (시각장애인 또는 청각장애인의 의료기관 이용 및 의약품 안전사용 저해요인 관련 심층면접조사)

  • Lee, Soo-Hyun;Choi, Minji;Han, Euna
    • Korean Journal of Clinical Pharmacy
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    • v.31 no.4
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    • pp.311-323
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    • 2021
  • Objective: The disabled are in a blind spot for obtaining information on drugs, and the pharmacies' counseling on drug use is centered on non-disabled people. Few studies have investigated the current statuses of drug use by type of disability. The purpose of this study is to understand the drug use by type of disability and by life cycle of visually impaired and hearing impaired in Korea. Methods: The study participants consisted of 16 people with visually impairments, 12 people with hearing impairments. One in-depth interview was conducted per participant, and each interview was recorded and documented. Results: Common barriers against safe medication and medical service uses across disability types are 'lack of consideration and service for the disabled, limited access to medical facilities due to disability, limited access to information regarding medication use, psychological anxiety about drug use and side effects, and inconvenience regarding COVID-19 epidemic. The specific factors were 'difficulties in identifying proper medicines and following prescribed dosages' in the case of visually impaired, and 'problems with sign language interpretation system' for the hearing impaired. Conclusion: Disabled people are hindered from using medicines properly due to various factors. Based on the content derived from this study, it is necessary to eliminate the inhibition factors and devise specific measures for the safety of each type of disorder such as developing a method for medication counseling considering disabilities and establishing communication support systems.

Fatigue Classification Model Based On Machine Learning Using Speech Signals (음성신호를 이용한 기계학습 기반 피로도 분류 모델)

  • Lee, Soo Hwa;Kwon, Chul Hong
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.741-747
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    • 2022
  • Fatigue lowers an individual's ability and makes it difficult to perform work. As fatigue accumulates, concentration decreases and thus the possibility of causing a safety accident increases. Awareness of fatigue is subjective, but it is necessary to quantitatively measure the level of fatigue in the actual field. In previous studies, it was proposed to measure the level of fatigue by expert judgment by adding objective indicators such as bio-signal analysis to subjective evaluations such as multidisciplinary fatigue scales. However this method is difficult to evaluate fatigue in real time in daily life. This paper is a study on the fatigue classification model that determines the fatigue level of workers in real time using speech data recorded in the field. Machine learning models such as logistic classification, support vector machine, and random forest are trained using speech data collected in the field. The performance evaluation showed good performance with accuracy of 0.677 to 0.758, of which logistic classification showed the best performance. From the experimental results, it can be seen that it is possible to classify the fatigue level using speech signals.

Injury trends among foreign and domestic tourists in Jeju from 2008 to 2018

  • Hwang, Ki Sang;Lee, Sung Kgun;Song, Sung Wook;Kim, Woo Jeong;Kang, Young Joon;Kang, Kyeong Won;Park, Hyun Soo;Park, Chang Bae;Kang, Jeong Ho;Bu, Ji Hwan;Ko, Seo Young
    • Journal of Medicine and Life Science
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    • v.19 no.1
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    • pp.8-13
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    • 2022
  • Jeju is the largest island in Korea and one of its key tourist attractions. As the number of foreign tourists steadily increases, so does the number of injuries incurred there. Accordingly, this study aimed to describe and compare the characteristics of injuries suffered by foreign tourists versus those of domestic tourists. As a cross-sectional study of a retrospective medical record survey, the study was conducted with reference to the Jeju Injury Surveillance System from the 11-year period of January 2008 to December 2018. The following factors were investigated: demographic data, mechanism of injury, place of occurrence, activity when injured, patient outcome, and mortality. A total of 92,095 injured Jeju Island visitors was recorded during this time, a number that included 88,050 Koreans and 4,045 foreigners. The gender ratio showed similar patterns between the two groups and there were no significant age differences. In both groups, the most common mechanism of injury was collisions/cuts. Also, more foreigners experienced falls than Koreans. Regarding the location, Koreans had the most road accidents, while foreigners were most likely to be injured at outdoor locations, such as seas and rivers. Furthermore, more foreigners experienced severe injuries requiring hospitalization. Notably, this study showed the differences in injury between foreign and Korean tourists visiting Jeju Island and its findings lend support to targeted safety promotion programs.

Enhancing Adhesion between Polyphenylene Sulfide Fabric and Polytetrafluoroethylene Film for Thermally Stable Air Filtration Membrane (열안정 공기 여과막용 폴리페닐렌 설파이드 원단과 폴리테트라플루오로에틸렌 필름 사이의 접착력 향상)

  • Jin Uk Kim;Hye Jeong Son;Sang Hoon Kang;Chang Soo Lee
    • Membrane Journal
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    • v.33 no.4
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    • pp.201-210
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    • 2023
  • Dust filter membranes play a crucial role in human life and various industries, as they contribute to several important aspects of human health, safety, and environmental protection. This study presents the development of a polysulfone@polyphenylene sulfide/polytetrafluoroethylene (PSf@PPS/ePTFE) composite dust filter membrane with excellent thermal stability and adhesion properties for high-temperature conditions. FT-IR analysis confirms successful impregnation of PSf adhesive onto PPS fabric and interaction with ePTFE support. FE-SEM images reveal improved fiber interconnection and adhesion with increased PSf concentration. PSf@PPS/ePTFE-5 exhibits the most suitable porous structure. The composite membrane demonstrates exceptional thermal stability up to 400℃. Peel resistance tests show sufficient adhesion for dust filtration, ensuring reliable performance under tough, high-temperature conditions without compromising air permeability. This membrane offers promising potential for industrial applications. Further optimizations and applications can be explored.

An Optimal Route Algorithm for Automated Vehicle in Monitoring Road Infrastructure (도로 인프라 모니터링을 위한 자율주행 차량 최적경로 알고리즘)

  • Kyuok Kim;SunA Cho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.1
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    • pp.265-275
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    • 2023
  • The purpose of this paper is to devise an optimal route allocation algorithm for automated vehicle(AV) in monitoring quality of road infrastructure to support the road safety. The tasks of an AV in this paper include visiting node-links at least once during its operation and checking status of road infrastructure, and coming back to its depot.. In selecting optimal route, its priority goal is visiting the node-links with higher risks while reducing costs caused by operation. To deal with the problem, authors devised reward maximizing algorithm for AVs. To check its validity, the authors developed simple toy network that mimic node-link networks and assigned costs and rewards for each node-link. With the toy network, the reward maximizing algorithm worked well as it visited the node-link with higher risks earlier then chinese postman route algorithm (Eiselt, Gendreau, Laporte, 1995). For further research, the reward maximizing algorithm should be tested its validity in a more complex network that mimic the real-life.

Planning and Establishment of Sejong City Smart City (세종시 스마트시티 구상 및 수립 방안)

  • Park, Jungsu;Jung, Hanmin
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.161-163
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    • 2021
  • This urban centralization is expected to develop rapidly, with 75% of the population living in the city by 2035. Large cities are becoming unsustainable due to side effects such as environmental pollution, severe traffic jams, excessive energy depletion, and destruction of the natural ecosystem. In addition, the happiness index of citizens of large cities is also falling because of high crime rates and safety accidents, the work-life imbalance caused by inequality and polarization, and overly competitive education. To solve this problem, Smart City, an IT-based future city model, was born. The Korean government is also actively attempting to improve urban competitiveness and promote sustainable development through efficient construction and operation of smart cities as a national focus project. To support the effort, we review the basic directions and strategies of Sejong City's Smart City service infrastructure based on the comprehensive national land plan, Smart City plan, and Smart City strategy plan.

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Development of status monitoring tools for KASS system operation (KASS 시스템 운영을 위한 상태감시 도구 개발)

  • Minhyuk SON;ByungSeok LEE
    • Journal of Advanced Navigation Technology
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    • v.27 no.5
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    • pp.643-648
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    • 2023
  • The Korea Augmentation Satellite System is an SBAS system being developed with the goal of providing SoL (Safety of Life) in accordance with ICAO (International Civil Aviation Organization) standards by December 2023. Monitoring the status of the system is essential for the continuous provision of KASS services, and a status monitoring tool should be developed for this purpose. The development of a status monitoring tool was divided into SYSRT (SYStem Real Time monitoring tool), SMSPP (Subsystem Monitoring Statistics tool for Post Processing) depending on the purpose. Tool development was completed through a series of procedures: requirements definition, design, development, and verification. To verify the status monitoring tool, the KASS system's real data (August 2023) were used to verify it, and the results were statistically analyzed to derive operating time and operating rate. It plans to use these tools to support continuous service provision for SoL service starting after this year.