Accidents involving children are an important cause of death and disability. They also have enomorous financial implications. In order to prevent childhood accidents, research and education for safety should be strengthened. The purpose of this study was to determine how often young children have accidents and what factors affect the accident rate. The sample consisted of 771 children who were in the second, third and forth grades of two elementary schools located in Kyung-gi Province. One school had students from middle class families living in apartment complexes and the other, students from lower income families mainly living in single houses. The questionnaires included items on the occurance of accidents and the parents' attitudes regarding accidents during the academic year from March 1997 to February 1998. The Questionnaires were distributed to conventiently selected students to be compeleted by their parents and collected during the period of May 28, to June 6, 1998. The data were analyzed using SAS PC statistical package. The results of the study are as follows ; 1. Of 771 student subjects, 393 had 887 accidental injuries during the study period. 2. The month, the day and the time with the highest accident rate were May, Sunday, and between 1 and 4 p. m. each. 3. In the analysis of the location where the injury took place, the most frequent place was on around their homes followed by school and, then, inside the home 4. Most of the accidents were caused by carelessness on the part of the children and the most frequent type of injury was an abrasion. 5. Children most injured their legs 6. They were treated at home most often and usually emergency treatment was performed by family members with, disinfection being the main type of first aid. Cost of the treatment ranged from 8,000 to 20,000 won in most cases. 7. House type and parents' education level were statistically significant in chi-square analysis. 8. Parents educate their children about traffic safety most frequently followed by fire safety and, then, prevention of violence. 9. Parents think that prevention of violence should be the most important part of injury prevention education both at school and home. 10. To identify factors related to accident occurrence, multiple logistic regression was performed and the main factors were birth order and house type.
Journal of Physiology & Pathology in Korean Medicine
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v.26
no.1
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pp.10-18
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2012
In this paper, to find out how different the treatment of special individuals named 'old people' is with that of ordinary cases, Dongeuibogam(東醫寶鑑) was chosen as the study material and some parts in it where the symptoms of old people in the same disease category were treated in different ways were excerpted to analyze the tendency of pathological symptoms and prescriptions in the physiological perspective. As the result of analysis on the parts in Dongeuibogam(東醫寶鑑) where the old people were treated in different ways, it turned out that 65 prescriptions were used in 24 pathological symptoms. The 24 symptoms are included mainly in chapters of 'inner view(內景)' and 'outer form(外形)'. They are including the pathological symptoms which had been presented as general geriatric symptoms and also seems to have added other symptoms which should be clinically reflected in the specialty of treatment for geriatric diseases. The 65 prescriptions are also recorded mainly in chapters of 'inner view(內景)' and 'outer form(外形)'. The herbs used for them were sweet and warm herbs such as Rehmannia glutinosa (Gaertner) Libosch(熟地黃), Angelica gigas Nakai(當歸), Panax ginseng C. A. Mey(人蔘) and Atractylodes macrocephala Koidz(白朮) that can support the essence blood of liver and kidney and the energy of spleen, lung and stomach. Those herbs could be added or subtracted according to the symptom. It seems to have resulted from the treatment method that old people was applied to old people in consideration of their physiological features. When the 24 symptoms and 65 prescriptions for geriatric diseases different from ordinary ones in Dongeuibogam(東醫寶鑑) were considered in the physiological view point, it could be seen that each pathological symptom was manifested as a exhaustion of kidney qi(腎氣枯渴) which was a characteristic physiologic state of old people. Through this, it could be seen that the use of prescriptions was also made to mitigate the body fluid deficiency(津液不足), the kidney yin inner heat(腎陰內熱), the heart spirit void and loss(心神虛損), the kidney yang deficiency(腎陽不足), the spleen failing in transportation(脾失健運), the spleen yang deficiency(脾陽不足), the liver fire inner movement(肝火內動) and the lung energy void and loss(肺氣虛寒).
Artificial intelligence technology is developing in an environment where a lot of data is produced due to the development of computing technology, a cloud environment that can store data, and the spread of personal mobile phones. Among these artificial intelligence technologies, the deep neural network provides excellent performance in image recognition and image classification. There have been many studies on image detection for forest fires and fire prevention using such a deep neural network, but studies on detection of cigarette smoking were insufficient. Meanwhile, military units are establishing surveillance systems for various facilities through CCTV, and it is necessary to detect smoking near ammunition stores or non-smoking areas to prevent fires and explosions. In this paper, by reflecting experimentally optimized numerical values such as activation function and learning rate, we did the detection of smoking pictures and non-smoking pictures in two cases. As experimental data, data was constructed by crawling using pictures of smoking and non-smoking published on the Internet, and a machine learning library was used. As a result of the experiment, when the learning rate is 0.004 and the optimization algorithm Adam is used, it can be seen that the accuracy of 93% and F1-score of 94% are obtained.
In this study, the on-site location identification and response system was proposed by accurately checking the location information of rescue requesters in the buildings using the smartphone Wi-Fi AP. The location server was requested to measure the strength of the Wi-Fi AP at least 25 times at 8 different building location points. And the accuracy of the position and the error range were checked by analyzing the coordinate values of the received positions. In addition, the response time was measured by changing the conditions of location information in three groups to compare the response time for saving lives with and without location information. The minimum and maximum error values for the eight cases were found to be at least 4.137 m and up to 14.037 m, respectively, with an average error of 9.525 m. Compared to the base transceiver station (BTS) based position error value of 263m, the range could be reduced by up to 93%. When the location information was given, it took 10 minutes and 50 seconds to save lives; however, when there was no location information at all, rescue process took more than 45 minutes. From this research effort, it was analyzed that the acquisition of the location information of rescuees in the building using the smartphone Wi-Fi AP approach is effective in reducing the life-saving time for on-site responses.
Electromygram was measured in three different cases; not wearing of a helmet, wearing of a 920g helmet, and wearing of a 1310g helmet, and it was revealed that there was a high level of muscle activities on the opposite side (sternocleidomastoid muscle) while the head and the neck were moving right and left and muscle activities of the curve and of the hyperextension were found to be not significant. Especially, the presence of a helmet seemed to cause a difference in a level of muscle activities on the deltoid and erector spine muscles while lifting or lowering with a weight placed on the deniz backboard. Therefore, it would be possible to assume that this newly developed smart helmet would not affect muscles around the necks of paramedics if they do not move their necks and heads right and left while lowering or lifting a patient using the deniz backboard. In addition, in case of the deltoid and erector spine muscles, it is shown that an increase in the degree of movement could lead to an increase in the level of muscle activities on the muscles controlling of the corresponding action, which are waist and back muscles. Despite it, it would be possible to prevent possible injuries and/or muscular and skeletal diseases around the lumbar by fully complying with a basic rule of straightening of the waist while making a power-lifting motion.
Shin, Insup Paul;Kim, Chang Won;Kwak, Dongho;Yoon, En Sup;Kim, Tae-Ok
Journal of the Korean Institute of Gas
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v.22
no.6
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pp.136-143
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2018
Cellular automata have been applied to simulations in many fields such as astrophysics, social phenomena, fire spread, and evacuation. Using cellular automata, this study develops a model for consequence analysis of the dispersion of hazardous chemicals, which is required for risk assessments of and emergency responses for frequent chemical accidents. Unlike in cases of detailed plant safety design, real-time accident responses require fast and iterative calculations to reduce the uncertainty of the distribution of damage within the affected area. EPA ALOHA and KORA of National Institute of Chemical Safety have been popular choices for these analyses. However, this study proposes an initiative to supplement the model and code continuously and is different in its development of free software, specialized for small and medium enterprises. Compared to the full-scale computational fluid dynamics (CFD), which requires large amounts of computation time, the relative accuracy loss is compromised, and the convenience of the general user is improved. Using Python open-source libraries as well as meteorological information linkage, it is made possible to expand and update the functions continuously. Users can easily obtain the results by simply inputting the layout of the plant and the materials used. Accuracy is verified against full-scale CFD simulations, and it will be distributed as open source software, supporting GPU-accelerated computing for fast computation.
The plain coarse pottery from the Unjeonri Bronze Age relic sites in the Cheonan, Korea were studied on the basis of clay mineralogy, geochemistry and archaegeological interpretations. For the research, the potteries are utilized at the analysis for 6 pieces of plain coarse potteries. Color of the these potteries are mainly light brown, partly shows the yellowish brown to reddish brown. The interior, surface and inside of the pottery appear as different colors in any cases. Original source materials making the Unjeonri potteries are used of mainly sandy clay soil with extreme coarse grained irregularly quartz and feldspar. The magnetic susceptibility of the Unjeonri pottery range from 0.20 to 1.20. And the Unjeonri soil's magnetic susceptibility agree almost with 0.20 to 1.30. In the same magnetization of soil and pottery, the results revealed that the Unjeonri soil and low material of pottery are same produced by identical source materials. The Unjeonri potteries and soil are very similar patterns with all characteristics of soil mineralogy, geochemical evolution trend. The result seems to be same relationships between the behavior and enrichment patterns on the basis of a compatible and a incompatible elements. Consequently, the Unjeonri potteries suggest that made the soil to be distributed in the circumstance of the relic sites as the raw material are high in a greater part. In the Unjeonri soil, the kaolinite is common occurred minerals. However, in the Unjeonri pottery, the kaolinite was not detected in all broken pieces. The kaolinite was presumed to destroy crystal structure during the firing processes of over $550^{\circ}C$. The quartz is phase transition from ${\alpha}$-quartz to ${\beta}$-quartz at $573^{\circ}C$, but the Unjeonri pottery did not investigated any phase transition evidences of quartz. The chorite was detected within the mostly potteries and soils. As the results, the Unjeonri potteries can be interpreted by not experiencing a firing temperature over $800^{\circ}C$. The colloidal and cementing materials between the quartz and low materials during the heating did not exist in the internal part of the potteries. An any secondary compounds by heating does not appear within the crack to happen during the dry of the pottery. The hyphae group are kept as it is with the root tissue of an organic matters to live in the swampy land. In the syntheses of all results, the general firing condition to bake and make the Unjeonri pottery is presumed from $550^{\circ}C$ to $800^{\circ}C$. However, the firing condition making the Unjeonri pottery can be different firing temperature partially in one pottery. Even, the some part of the pottery does not take a direct influence on the fire.
Journal of Korean Society of Disaster and Security
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v.12
no.1
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pp.35-44
/
2019
In the event of a disaster (or accident), first of all, the ability to respond to an immediate disaster is important. This study investigated the disaster response capacity and the effects of disaster response exercise personnel. A questionnaire consisting of 28 items was used to assess disaster response capabilities. The questionnaire consists of contrast, preparedness initial response, warning, and response steps. Survey participants are self-service fire-fighters of small and medium-sized manufacturing companies participating in exercise. The effectiveness of the exercise. was measured by dividing the subjects before and after the exercise. Analyzing the difference between before and after exercise, it was confirmed that disaster response exercise. had significant effects on improving disaster response capacity. This study suggests that the disaster response exercise. has the effect on the disaster response capacity of the members and the necessity of disaster response exercise. As in the case study, if a company or organization regularly conducts disaster response exercise., its disaster response capabilities will improve. In addition, it is anticipated that in the event of a disaster (or accident), it will be possible to prevent or reduce property damage as well as property damage.
Journal of Korean Tunnelling and Underground Space Association
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v.21
no.1
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pp.1-29
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2019
Related to the previous paper on the typical crack pattern of tunnel lining with NATM, the characteristic defects in reinforced cement concrete lining of NATM tunnel have analyzed with the precise inspection with safety and diagnosis (PISD) by KISTEC. Depending on the reinforcing materials, steel rebar, steel fiber, and glass fiber have been implemented to reinforcing lining in various NATM tunnel constructions. Reinforcing lining with rebar are prevailed on NATM tunnel to countermeasure the weak geological circumstances, to pursuit the economical tunnel sections, and to resist the risk of tunnel deterioration. By the special act on the safety control of public facilities, the reinforced NATM tunnels for more than 1 km length are scrutinized closely to characterize defects; crack, reinforcement exposure, and lack of lining. Crack resistance by reinforcing is shown in comparison with the normalized crack to the length of tunnel. Typical exposed reinforcements in lining have exemplified with various sections. The lack of lining due to the mal-construction, spalling, fire, earthquake and leaching has been analyzed. The cause and mechanism with the field inspections and other studies has also been verified. Detailed cases are selected by the above concerns as well as the basic information from FMS (Facilities Management System). Likewise the previous paper, this study provides specialized defects in reinforced lining of NATM and it can be widely used in spreading the essential technics and reporting skills. Furthermore, it would be advised and amended for the detail guideline of Safety Diagnosis and PISD (tunnel).
Journal of Korean Tunnelling and Underground Space Association
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v.21
no.3
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pp.419-432
/
2019
Most of deep learning model training was proceeded by supervised learning, which is to train labeling data composed by inputs and corresponding outputs. Labeling data was directly generated manually, so labeling accuracy of data is relatively high. However, it requires heavy efforts in securing data because of cost and time. Additionally, the main goal of supervised learning is to improve detection performance for 'True Positive' data but not to reduce occurrence of 'False Positive' data. In this paper, the occurrence of unpredictable 'False Positive' appears by trained modes with labeling data and 'True Positive' data in monitoring of deep learning-based CCTV accident detection system, which is under operation at a tunnel monitoring center. Those types of 'False Positive' to 'fire' or 'person' objects were frequently taking place for lights of working vehicle, reflecting sunlight at tunnel entrance, long black feature which occurs to the part of lane or car, etc. To solve this problem, a deep learning model was developed by simultaneously training the 'False Positive' data generated in the field and the labeling data. As a result, in comparison with the model that was trained only by the existing labeling data, the re-inference performance with respect to the labeling data was improved. In addition, re-inference of the 'False Positive' data shows that the number of 'False Positive' for the persons were more reduced in case of training model including many 'False Positive' data. By training of the 'False Positive' data, the capability of field application of the deep learning model was improved automatically.
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