• Journal of Electrical Engineering and Technology
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• v.9 no.5
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• pp.1729-1738
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• 2014

The offline verification of state of charge estimation, power estimation, fault diagnosis and emergency control of battery management system (BMS) is one of the key technologies in the field of electric vehicle battery system. It is difficult to test and verify the battery management system software in the early stage, especially for algorithms such as system state estimation, emergency control and so on. This article carried out the virtual environment modeling for verification of battery management system. According to the input/output parameters of battery management system, virtual environment is determined to run the battery management system. With the integration of the developed BMS model and the external model, the virtual environment model has been established for battery management system in the vehicle's working environment. Through the virtual environment model, the effectiveness of software algorithm of BMS was verified, such as battery state parameters estimation, power estimation, fault diagnosis, charge and discharge management, etc.

• Journal of The Korean Society of Clinical Toxicology
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• v.11 no.1
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• pp.36-40
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• 2013

Ethylene glycol poisoning is treated mainly by alcohol dehydrogenase inhibition therapy and hemodialysis. Early recognition and initiation of treatment is important because toxic metabolites increase over time by hepatic metabolism; however, there is no confirmative diagnostic tool in our clinical setting. Therefore, diagnosis is dependent on history, high anion gap acidosis, high osmolal gap, etc.. Diagnosis and treatment are delayed in cases where history taking is not possible, such as a mental changed patient. Authors report on two cases of ethylene glycol poisoning by contrasting clinical outcomes, demonstrating the importance of early diagnosis and treatment for achievement of a good outcome.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.12
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• pp.1595-1601
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• 2018

The biggest obstacle to the commercialization of small and medium size microgrid (MG) is the reliability and economics of MG operation and maintenance. In this paper, we propose an autonomous operation method that is implemented as an application program installed in the MG operating system in emergency situations. The proposed algorithm consists of four steps of distinction, recognition, determination and control of emergency situations that can occur in MG. A fuzzy-based situation decision algorithm has been proposed to eliminate the barriers of autonomous operation in actual emergency situation such as occurrence of bad data and communication delay. In addition, countermeasures have been suggested for cases where multiple emergency situations have occurred in combination. The proposed algorithm was tested in a 500kW actual microgrid site of a university. Through the test, the validity of the proposed method and its applicability to practical MG operation are verified.

• Electronics and Telecommunications Trends
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• v.38 no.3
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• pp.57-65
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• 2023

Emergency numbers, such as 112 and 119, are used in many countries to connect people in need with emergency services such as police, fire, and medical assistance. We describe development directions of intelligent response technology for emergency calls. The development of this technology refers to enhancing the efficiency and effectiveness of response systems by using advanced methods such as artificial intelligence, machine learning, and big data analytics. We focus on a system that assists the receptionist of an emergency call. In the future, the recognition rate and decision-making accuracy of intelligent response technologies should be improved considering characteristics of public safety and emergency domain data. Although the current technology remains at the level of assisting a receptionist, a fully autonomous response technology is expected to emerge in the future.

• The Korean Journal of Emergency Medical Services
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• v.11 no.3
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• pp.153-161
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• 2007

This study was attempted to provide basic data develop CPR training program for layperson by looking into layperson's recognition and attitude of execution of CPR and to prepare for underlying data in drawing up training policy and suggesting relevant legislation so that trained laypersons can positively perform rescue activities. The survey was done from August 20 to September 20, 2007. Total Subjects in this study were 78. The collected data were analyzed by SPSS Program. The summary of the research is as follows : First, to the question of whether or not the recognition or performance of CPR is universal within the country, 82.1% of respondents gave a negative answer as 'No', The most reason was found to be 'Poor training and P.R. of CPR' accounting for 50.1%, 94.8% of the whole respondents answered that CPR training is necessary. As plan for activatin of CPR training, they answered that top priority shall be given to compulsory school training(79.5%). Secondly, when respondents observed their family's cardic 84.6% of them answered that they would conduct CPR but when they observed other's cardiac arrest, just 41.7% of them answered it. As an effective CPR activation plan, the most answer was training and P.R. of CPR as 79.5%. This study suggests that laypersons high perception of the effectiveness of the CPR and that they wound be willing to provide CPR in a medical emergency.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.2
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• pp.1074-1082
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• 2014

This study as a descriptive survey attempts to establish the objective foundation for DNR as investigating Emergency Medical Technology students' recognition and ethical attitudes on DNR. The structured questionnaires were given to 257 students who are studying in Jeollanam-Do and Jeollabuk-Do between the period of September 1 and September 30, 2012. The data were analyzed in frequency, percentage, $x^2$-test, and crosstabs by using SPSS 18.0 program. The results indicated that ethical attitudes on DNR were statistically significant by individual's general factors such as sex, age, religion, and education. According to the result, it is necessary to have an objective guideline of ethical attitudes and offer professional education continuously about DNR in order to have sufficient information to establish the objective foundation for DNR.

• Journal of Satellite, Information and Communications
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• v.12 no.1
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• pp.101-106
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• 2017

In this paper, we present Emergency exit signs are installed to provide escape routes or ways in buildings like shopping malls, hospitals, industry, and government complex, etc. and various other places for safety purpose to aid people to escape easily during emergency situations. In case of an emergency situation like smoke, fire, bad lightings and crowded stamped condition at emergency situations, it's difficult for people to recognize the emergency exit signs and emergency doors to exit from the emergency building areas. This paper propose an automatic emergency exit sing recognition to find exit direction using a smart device. The proposed approach aims to develop an computer vision based smart phone application to detect emergency exit signs using the smart device camera and guide the direction to escape in the visible and audible output format. In this research, a CAMShift object tracking approach is used to detect the emergency exit sign and the direction information extracted using template matching method. The direction information of the exit sign is stored in a text format and then using text-to-speech the text synthesized to audible acoustic signal. The synthesized acoustic signal render on smart device speaker as an escape guide information to the user. This research result is analyzed and concluded from the views of visual elements selecting, EXIT appearance design and EXIT's placement in the building, which is very valuable and can be commonly referred in wayfinder system.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.37-44
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• 2021

At the time of entering the super-aged society, the health problem of the elderly is becoming more prominent due to the rapid digital era caused by COVID-19, but the gap between welfare budgets and welfare benefits according to regional characteristics is still not narrowed and there is a significant difference in emergency medical access. In response, this study proposes an ICT-based New Normal Smart Care System (NNSCS) to bridge the gap I n health and medical problems. This is an integrated system model that links the elderly themselves to health care, self-diagnosis, disease prediction and prevention, and emergency medical services. The purpose is to apply location-based technology and motion recognition technology under smartphones and smartwatches (wearable) environments to detect health care and risks, predict and diagnose diseases using health and medical big data, and minimize treatment latency. Through the New Normal Smart Care System (NNSCS), which links health care, prevention, and rapid emergency treatment with easy and simple access to health care for the elderly, it aims to minimize health gaps and solve health problems for the elderly.

• The Korean Journal of Emergency Medical Services
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• v.16 no.1
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• pp.7-18
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• 2012

Purpose: The purpose of this study is to help care workers to do their best as first respondents by analysing their recognition, knowledge, and self-efficacy on basic CPR (cardiopulmonary resuscitation) that is directly connected to the lives of patients and thus their education and methods can be improved for their positive basic lifesaving work. Method: For this purpose 360 structured questionnaires were used to the subjects in the eastern area of Jeonnam province from June 20 to July 4, 2011. Of these questionnaires 217 were used excluding 113 incomplete, 27 error, and 3 male ones. The collected data were analysed by the real number, the percentage, the average, the standard deviation, t-test, ANOVA, and Tukey with SPSS WIN 18.0. Results: 1. In the view of subjects, those aged over 51 accounted for 96(44.2%) as the majority, high school graduates, 95(43.8%), worked for 1 or more than 1 year-less than 2 years, 66(30.4%), experienced to see persons collapsed losing their consciousness, 46(21.2%), took the education, 184(85.7%), had 1 session of education, 80(43%), got the last education for 2 or more than 2 years 68(37%), and practiced through mannequin for the education aids, 86(46.7%). 2. There was significant difference in the view of recognition with the length of work (p=.010) and experienced to see persons collapsed losing their consciousness (p=.020), in the view of knowledge with academic background (p=.040) and the length of work, and in the view of self-efficacy with academic background (p=.002), the length of work (p=.010) and experienced to see persons collapsed losing their consciousness (p=.000). 3. There was significant difference in the session of education (p=.000), last education (p=.025) and education aids for basic CPR. Self-efficacy had significant difference according to the session of education for basic CPR (p=.001) and the time of education (p=.000). 4. There was correlation between recognition and self-efficacy (r=.41). The higher the recognition is, the better the self-efficacy improves. However the correlation between knowledge and self-efficacy was so low that the former did not have influence on self-efficacy. Conclusions: It needs to offer education to the lifesaving workers based on their experiences. If there is education more than 2 sessions in a year with mannequin and the simulation providing sufficient hours, care workers' recognition would be increased resulting in higher self-efficacy and thus they could keep the role of active lifesaving worker at the first practical site.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.12
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• pp.1203-1208
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• 2009

Green IT based u-City means that u-City having Green IT concept. If we adopt the situation awareness or not, the processing of Green IT may be reduced. For example, if we recognize a lot of speech sound on CCTV in u-City environment, it takes a lot of processing time and cost. However, if we want recognize emergency sound on CCTV, it takes a few reduced processing cost. So, for detecting emergency state dynamically through CCTV, we propose our advanced speech recognition system. For the purpose of that, we adopt HMM (Hidden Markov Model) for feature extraction. Also, we adopt Wiener filter technique for noise elimination in many information coming from on CCTV in u-City environment.