Purpose: The purpose of this study was to examine the health care management status of preschoolers depending on the children's characteristics. Methods: The sample of this study were 212 mothers of preschoolers attending Child Care Centers in three cities, Seoul, Daejon, and Suwon, in Korea. A self administered questionnaire developed by investigators was used to collect data from September 15 to October 31, 2002. Data was analyzed with SPSS 11.5 Win program. Results: 5.7% of the children had not completed their vaccination programs. Children who were second or later birth order showed less complete vaccination rates than firstborn babies. Children who had working mothers showed less complete vaccination rates than those whose mothers did not work. Among the various vaccinations, the DPT and MMR booster vaccination rates were the lowest. Home safety scores were higher when mothers have younger children. higher monthly incomes and reside in apartment type houses. Forty one(41%) of the preschoolers experienced accidents, and the accident rate was higher in boys and children with easy temperament. The most frequently experienced accident was laceration. Twenty eight point eight percent(28.8%) of the children experienced hospitalization because of various diseases. Most of the mothers perceived their children healthy. However, children who were second or third born were perceived less as healthy. Children in families with less monthly income were perceived as less healthy. Conclusions: This study provided basic data about preschoolers' health care management status focusing on vaccinations and accident rates. More attention should be paid to preschoolers' health and safety. Related factors found in this study should be considered when providing anticipatory guidance for parents.
As contemporary building construction type is getting higher and deeper, construction equipment usage is getting more, and related fatal accidents are on an increasing trend. Because of this, a method was drawn which could grasp the present state of construction equipment management and manage safety of the equipment more easily for accident prevention by choosing 2 kinds of Construction equipment which cause safety accident frequently among the equipment mainly used in construction site. This study suggested a method about construction equipment safety management using "smart phone" base which could be used in safety management for construction equipment by whomever in construction site. After attachment of QR code included safety checklist, It became possible that site managers could check more efficiently by scanning with their smart phone when they inspect equipment. Moreover, by the construction interested who didn't know what and how they have to inspect could point out unsafe condition in the early stage of equipment entering or take unsafe one out of the site by using new smart phone safety checking system is installed, it became possible that critical accident caused by construction equipment was prevented in advance.
전방 낙하물과 같은 돌발상황이 발생했을 때 신속하고 적절한 정보 제공은 도로 위 이용자들의 편의를 가져다주고 2차 교통사고 또한 효과적으로 줄일 수 있다. 도로 상의 돌발상황은 현재 국내에서 루프 검지기나 CCTV 등 ITS 기반 검지 체계를 사용하여 주로 검지하고 있다. 이러한 방식은 검지기의 검지 구간에서의 도로 위 데이터만을 얻을 수 있다. 때문에, 기존 ITS 기반 검지체계의 공간적 음영구간에서 돌발상황을 찾아내기 위하여 새로운 검지 수단이 필요하다. 이에 본 연구에서는 차량 내 설치된 단말기에서 촬영된 영상으로부터 돌발상황을 검지 및 분류하는 ResNet 기반 알고리즘을 제안한다. 국내 고속도로 전방 주행영상을 수집하였고, 돌발상황 유형을 클래스로 정의하여 각 데이터를 라벨링한 후, 제안한 알고리즘으로 데이터를 학습시켰다. 학습 결과, 개발한 알고리즘은 데이터 수가 상대적으로 적었던 일부 클래스를 제외하고 정의한 돌발상황 클래스에 대하여 높은 검지율을 보였다.
International Journal of Computer Science & Network Security
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제23권1호
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pp.153-163
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2023
This study is situated in the context of intelligent transport systems, where in-vehicle devices assist drivers to avoid accidents and therefore improve road safety. The vehicles present in a given area form an ad' hoc network of vehicles called vehicular ad' hoc network. In this type of network, the nodes are mobile vehicles and the messages exchanged are messages to warn about obstacles that may hinder the correct driving. Node mobilities make it impossible for inter-node communication to be end-to-end. Recognizing this characteristic has led to delay-tolerant vehicular networks. Embedded devices have small buffers (memory) to hold messages that a node needs to transmit when no other node is within its visibility range for transmission. The performance of a vehicular delay-tolerant network is closely tied to the successful management of the nodes' transit buffer. In this paper, we propose a message transit buffer management model for nodes in vehicular delay tolerant networks. This model consists in setting up, on the one hand, a policy of dropping messages from the buffer when the buffer is full and must receive a new message. This drop policy is based on the concept of intermediate node to destination, queues and priority class of service. It is also based on the properties of the message (size, weight, number of hops, number of replications, remaining time-to-live, etc.). On the other hand, the model defines the policy for selecting the message to be transmitted. The proposed model was evaluated with the ONE opportunistic network simulator based on a 4000m x 4000m area of downtown Bouaké in Côte d'Ivoire. The map data were imported using the Open Street Map tool. The results obtained show that our model improves the delivery ratio of security alert messages, reduces their delivery delay and network overload compared to the existing model. This improvement in communication within a network of vehicles can contribute to the improvement of road safety.
Background The coronavirus disease 2019 (COVID-19) outbreak has had a major impact worldwide. Several countries have implemented restrictions on social interaction ("social distancing"). Several studies have reported that the epidemiology of trauma patients, such as those with facial bone fractures, has changed after COVID-19 pandemic. This study aimed to further explore these specific changes. Methods This was a retrospective study of patients who presented to a single institution with facial bone fractures between January 1, 2016, and December 31, 2020. Baseline patient demographics, clinical information, type of fracture, etiology, and operative management were compared before and after COVID-19. Results Of all cases, 3,409 occurred before COVID-19, and 602 occurred after COVID-19. Since the outbreak of COVID-19, the number of patients with facial fractures has not decreased significantly. A significant increase was noted in fractures that occurred outdoors (p < 0.001). However, a decrease was observed in operative management between the groups (p < 0.001). There was no significant difference in the proportion of assault, fall-down, industrial accident, or roll-down. In contrast, the proportion of traffic accidents and slip-down categories increased significantly (p < 0.05). Moreover, a significant decrease was found in the proportion of the sports category (p = 0.001) Conclusions It was confirmed through this study that COVID-19 pandemic also affected epidemiology of facial fractures. Focusing on these changes, it is necessary to develop safety measures to reduce facial fractures.
Since the unprecedented hydrogen fluoride leak accident in 2012, there has been growing demand for customized technical information for rapid response and chemical accident management agencies including the Ministry of Environment, the National Emergency Management Agency, and the National Police Agency need more information on chemicals and accident management. In this regard, this study aims to provide reliable technical data and guidelines to initial response agencies, similar to accident management technical reports of the US and Canada. In this study, we conducted a questionnaire survey and interviews on initial response agencies like fire stations, police stations, and local governments to identify new information items for appropriate initial response and improvements of current guidelines. We also collected and reviewed the Canada's TIPS, US EPA's hydrogen fluoride documents, domestic and foreign literature on applicability tests of control chemicals, and interview data, and then produced items to be listed in the technical guidelines. In addition, to establish database of on-site technical information, we carried out applicability tests for accident control data including ① emergency shut down devide, safety guard, shut down valve, ground connection, dyke, transfer pipe, scrubber, and sensor; ② literature and field survey on distribution type and transportation/storage characteristics (container identification, valve, ground connection, etc.); ③ classification and identification of storage/transportation facilities and emergency management methodslike leak prevention, chemicals control, and cutoff or bypass of rain drainage; ④ domestic/foreign analysis methods and environmental standards including portable detection methods, test standards, and exposure limits; and ⑤ comparison/evaluation of neutralization efficiency of control chemicals on toxic substances.
The 9th International Conference on Construction Engineering and Project Management
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pp.119-127
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2022
Most of the construction works are conducted outdoors, so the construction workers are affected by weather conditions such as temperature, humidity, and wind velocity which can be evaluated the thermal comfort as environmental factors. In our previous researches, it was found that construction accidents are usually occurred in the discomfort ranges. The safety management, therefore, should be planned in consideration of the thermal comfort and measured by a specialized simulation tool. However, it is very complex, time-consuming, and difficult to model. To address this issue, this study is aimed to develop a framework of a prediction model for improving the prediction accuracy about outdoor thermal comfort considering environmental factors using machine learning algorithms with hyperparameter tuning. This study is done in four steps: i) Establishment of database, ii) Selection of variables to develop prediction model, iii) Development of prediction model; iv) Conducting of hyperparameter tuning. The tree type algorithm is used to develop the prediction model. The results of this study are as follows. First, considering three variables related to environmental factor, the prediction accuracy was 85.74%. Second, the prediction accuracy was 86.55% when considering four environmental factors. Third, after conducting hyperparameter tuning, the prediction accuracy was increased up to 87.28%. This study has several contributions. First, using this prediction model, the thermal comfort can be calculated easily and quickly. Second, using this prediction model, the safety management can be utilized to manage the construction accident considering weather conditions.
Purpose: This study investigated the epidemiology, management, outcomes, and postoperative disabilities of degloving soft tissue injuries (DSTIs) treated at a tertiary care center in northern India. Methods: A prospective study of patients with DSTIs was conducted over 15 months. The type of degloving injury, the mechanism of injury, and any associated injuries were analyzed using the World Health Organization Disability Assessment Schedule (WHODAS) 2.0 along with the management, outcomes, and disabilities at a 3-month follow-up. Results: Among 75 patients with DSTIs, the average age was 27.5 years, 80.0% were male, and 76.0% had been injured in traffic accidents. The majority (93.3%) were open degloving injuries. Lower limbs were affected most often (62.7%), followed by upper limbs (32.0%). Fractures were the most commonly associated injuries (72.0%). Most patients required more than two procedures, including secondary debridement (41.3%), split skin grafting (80.0%), flap coverage (12.0%), or vacuum-assisted closure (24.0%), while five patients underwent conservative management for closed degloving injuries. Postoperative complications included surgical site infections (14.7%) and skin necrosis (10.7%). Two patients died due to septic shock and multiple organ dysfunction syndrome. The mean length of hospital stay was 11.5±8.1 days, with injuries affecting the lower limbs and perineum requiring longer hospital stays. The mean WHODAS 2.0 disability score at 3 months was 19. Most patients had mild disabilities. Time away from work depended largely upon the site and severity of the injury. Approximately 75% of patients resumed their previous job or study, 14% changed their job, and 8% stopped working completely due to residual disability. Conclusions: DSTIs are common injuries in trauma and management is challenging. Although open DSTI are clinically evident at secondary survey, closed degloving injuries may be missed in the primary survey, necessitating a high index of suspicion, thorough clinical examination, and protocol-based management. Primary preventive strategies (e.g., road safety protocols, preplacement training, and proper protective equipment in industries) are also needed to reduce the incidence of these injuries.
Public rental housing in Korea has been initially provided for residential stability of low-income household focusing on solving quantitative insufficiency since 1980s. In the process of early stage of designing and planning public rental housing, qualitative aspects of considering children were not primary concern. This study aims to analyze the priority of environmental improvement of outdoor spaces for children's safety in public rental housing. First, literature review was performed in the reference of local residential safety guidelines, Universal Design, and CPTED guidelines. In each guidelines, common safety planning factors for children were extracted within different types of outdoor spaces. Second, based on literature analysis, residents evaluated importance and satisfaction level by different safety types, outdoor space type, and environmental planning factors. In results, residents evaluated high importance and showed low satisfaction for crime and traffic safety. Through IPA, facilities and parking space was evaluated where improvement is needed for the first priority, and planning factors were mostly concerned with surveillance and safety management system. Result shows general concern of public rental housing residents, about weak facility management and security system, and about socially isolated environment which heightened the fear of crime safety. Overall, poor maintenance of the complex environment and decrepit facilities are constantly raising risk of safety accidents especially for children. Considering residents' concern, environmental improvement should be considered in perspective of not only physical repair, but also facility management and security system.
Wang, Changwon;Kim, Young;Lee, Seung Hyun;Sung, Nak-Jun;Min, Se Dong;Choi, Min-Hyung
KSII Transactions on Internet and Information Systems (TIIS)
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제14권2호
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pp.654-670
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2020
Workers at construction sites are easily exposed to many dangers and accidents involving falls, tripping, and missteps on stairs. However, researches on construction site monitoring system to prevent work-related injuries are still insufficient. The purpose of this study was to develop a wearable textile pressure insole sensor and examine its effectiveness in managing the real-time safety of construction workers. The sensor was designed based on the principles of parallel capacitance measurement using conductive textile and the monitoring system was developed by C# language. Three separate experiments were carried out for performance evaluation of the proposed sensor: (1) varying the distance between two capacitance plates to examine changes in capacitance charges, (2) repeatedly applying 1 N of pressure for 5,000 times to evaluate consistency, and (3) gradually increasing force by 1 N (from 1 N to 46 N) to test the linearity of the sensor value. Five subjects participated in our pilot test, which examined whether ascending and descending the stairs can be distinguished by our sensor and by weka assessment tool using k-NN algorithm. The 10-fold cross-validation method was used for analysis and the results of accuracy in identifying stair ascending and descending were 87.2% and 90.9%, respectively. By applying our sensor, the type of activity, weight-shifting patterns for balance control, and plantar pressure distribution for postural changes of the construction workers can be detected. The results of this study can be the basis for future sensor-based monitoring device development studies and fall prediction researches for construction workers.
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