• Journal of East-West Nursing Research
• /
• v.27 no.2
• /
• pp.177-184
• /
• 2021

Purpose: Traffic accidents are the major cause of death in children. Car seat usage in children is important to reduce the risk of death or injury caused by traffic accidents. This study aims to analyze the trends of car seat use among children ages under 6. Methods: This study adopted a cross-sectional study utilizing the Korea National Health and Nutrition Examination Survey from 2015 to 2019. In total, 1,999 responses were included for the analysis. Factors associated with car seat use were age, sex, body weight, height, family type, household income, and monthly household income. Regression analysis was used to compare the car seat use before and after the revision of the Road Traffic Act (2015~2018 vs. 2019). Results: We found that car seat use was increasing by year, age, region, and household income. Car seat use was higher after fines increased in 2019. Age and body weight had negative association with car seat use, while height and household income had positive association with car seat use. Conclusion: Car seat use increased from 2015 to 2019 and is associated with different ages among children and household income. Further education and promotion that describes the safety benefits to children from car seat use are needed.

• The Journal of Korean Obstetrics and Gynecology
• /
• v.32 no.3
• /
• pp.73-85
• /
• 2019

Objectives: The purpose of this study was to analyze efficacy and safety of Korean Medicine treatment for traffic accidents during pregnancy. Methods: We investigated the studies on Korean Medicine treatment for traffic accidents during pregnancy via searching through PUBMED, the Cochrane Library, CNKI, and domestic search engines and a total of 6 studies were selected. Results: The major complaints of traffic accidents during pregnancy were low back pain, neck pain and gastrointestinal symptoms. And there were vaginal bleeding and pruritus vulvae in the complaints. All of the studies were given acupuncture treatment for symptom relief, and chuna, herbal acupuncture and cupping were administered. Herbal medicine was also performed, and the most prescribed herbal medicine was Antaeeum-gamibang. All cases reported as traffic accidents during pregnancy showed a reduction in symptoms, normal pregnancy maintenance and delivery, and no miscarriage were reported. Conclusions: Korean Medicine treatment is an effective and safe treatment option for traffic accidents during pregnancy. Further systematic studies are needed to establish the basis for Korean Medicine treatment for traffic accidents during pregnancy.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.39 no.4
• /
• pp.523-530
• /
• 2019

Pavement distress and traffic accidents are caused by pot-hole. In addition, direct and indirect damages of road users are increasing, such as loss of life due to personal injury and damage to vehicles. Generally, the asphalt concrete pavements are continuously aging from the production process to the terminal performance period. Aging causes stripping due to cracks and moisture penetration and weakening the pavement structure to induce pot-hole. In this study, adhesion performance and moisture sensitivity were evaluated according to aging degree in order to investigate the effect of aging on asphalt pavement. As a result of the study, the viscosity of the asphalt binder was increased with aging and the bond strength of the aged was increased 2~3 times than that of the unaged. The results of accelerated aging test showed an increases in indirect tensile strength and the increase in the TSR (Tensile Strength Ratio) by 4.2~8.9 %. As a result, it is noted that the anti-stripping and adhesion performances of the aged asphalt concrete are improved compared to the unaged one under the aging conditions of asphalt binder coated on aggregates.

• The Journal of Korean Obstetrics and Gynecology
• /
• v.34 no.2
• /
• pp.31-47
• /
• 2021

Objectives: This study aimed to report the effectiveness and outcome on the prognosis of pregnancy of traditional Korean medicine treatment for inpatients who had a traffic accident during pregnancy. Methods: The study is conducted by analyzing the medical records of hospitalized patients in a Korean medicine hospital. Seventy-six pregnant patients who got into car accidents from March 2015 to February 2020 were included. We performed statistical analysis by using Statistical Package for the Social Sciences(SPSS) ver. 25.0. To verify the effect of traditional Korean medicine treatment for traffic accidents during pregnancy, we analyzed improvement of symptoms. Also, we analyzed the prognosis of pregnancy and signs of premature birth or miscarriage during treatment to verify the applicability of traditional Korean medicine treatment for traffic accidents during pregnancy. Results: Among the symptoms of pain, there was a statistically significant decrease in lower back pain, post neck pain, headache, pelvic pain, knee pain, lower limb pain, wrist pain, and upper limb pain. Other systemic symptoms showed statistically significant improvement in nausea, abdominal pain, dizziness, and lower limb numbness. All confirmed cases reported normal pregnancy maintenance and delivery, and no miscarriage was reported. Two cases that showed signs of premature birth or miscarriage during treatment were unrelated or unclear with traditional Korean medicine treatment. Conclusions: Traditional Korean medicine treatment is effective and applicable for pregnant women injured by traffic accidents. Further studies are needed to identify the effectiveness and safety of traditional Korean medicine treatment for the sequelae of traffic accidents during pregnancy.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.6
• /
• pp.859-864
• /
• 2022

Drowsy driving, one of the biggest causes of traffic accidents every year, is accompanied by various factors. As a general method to check whether or not there is drowsiness, a method of identifying a driver's expression and driving pattern, and a method of analyzing bio-signals are being studied. This paper proposes a driver fatigue detection system using deep learning technology and bio-signal measurement technology. As the first step in the proposed method, deep learning is used to detect the driver's eye shape, yawning presence, and body movement to detect drowsiness. In the second stage, it was designed to increase the accuracy of the system by identifying the driver's fatigue state using the pulse wave signal and body temperature. As a result of the experiment, it was possible to reliably determine the driver's drowsiness and fatigue in real-time images.

• The Journal of Korean Medicine
• /
• v.42 no.1
• /
• pp.26-45
• /
• 2021

Objectives: The purpose of this study was to investigate characteristics of patients who were admitted to an oriental medicine hospital by traffic accident. Methods: The medical charts of 346 patients admitted to an oriental medicine hospital from June 1, 2017 to May 31, 2018 were analyzed. The Numbering Rating Scale (NRS) and duration of hospitalization were used to evaluate characteristics of the patients. Results: Acupuncture, Moxibustion, Infralux were used to treat all the patients. The most frequently used herbal medication was Danggwisu-san(22.25%). 87 patients(25.14%) visited the outpatient department after being discharged from the hospital. The most frequent complaint in terms of pain was cervical pain(82.7%) and of systemic symptom was headache(23.7%). Men and younger aged patients showed higher therapeutic effect than women and older ages. The most common duration of hospitalization was 2~4 days(42.73%) and positively correlated with therapeutic effect. The most frequent interval between time of injury and visit to the hospital was from 0-1 days(68.90%) and showed no relationship with therapeutic effect. The most frequent admission pathway was "Directly to the hospital"(57.51%). Admission pathway was proportionally associated with duration of hospitalization and treatment results were not. The most common vehicle type involved in the traffic accidents was a sedan(72.25%), accident type was a rear-end collision(43.64%) and showed no relationship with therapeutic effect. Conclusions: In this study, therapeutic effects were highly correlated among men, younger ages, and duration of hospital stay, and was not for interval days, admission pathway, vehicle type, and accident type.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.6
• /
• pp.117-122
• /
• 2022

In this paper, we developed a vehicle control terminal using IoT and low-power long-distance communication (NB-IoT) technology. This system collects information on the location and status of a parked vehicle, and transmits the vehicle status to the vehicle owner's terminal in real time with low power to prevent vehicle theft, and in the case of a vehicle in motion, When primary information about the vehicle, such as an impact, is collected and transmitted to the server, the server analyzes the relevant data to generate secondary information on traffic congestion, road damage, and safety accidents. By sending it, you can know the exact arrival time of the vehicle at its destination. This terminal device is an IoT gateway for a vehicle and can be connected to various wired and wireless sensors inside the vehicle. In addition, the data collected from vehicle maintenance, efficient operation, and vehicles can be usefully used in the private or public sector.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.12
• /
• pp.1794-1799
• /
• 2022

Recently, the increasing number of overloaded vehicles on the road poses a risk to traffic safety, such as falling objects, road damage, and chain collisions due to the abnormal weight distribution, and can cause great damage once an accident occurs. therefore we propose to build an object detection-based AI model to identify overloaded vehicles that cause such social problems. In addition, we present a simple yet effective method to construct an object detection model for the large-scale vehicle images. In particular, we utilize the large-scale of vehicle image sets provided by open AI-Hub, which include the overloaded vehicles. We inspected the specific features of sizes of vehicles and types of image sources, and pre-processed these images to train a deep learning-based object detection model. Also, we propose an integrated system for tracking the detected vehicles. Finally, we demonstrated that the detection performance of the overloaded vehicle was improved by about 23% compared to the one using raw data.

• Journal of Aerospace System Engineering
• /
• v.17 no.2
• /
• pp.16-25
• /
• 2023

There are various types of foreign object debris (FOD) in the aviation industry. Tools lost by workers can act as a risk factor throughout aircraft operation, manufacturing, and maintenance fields. Accidents caused by tools lost due to workers' carelessness continue to occur throughout the aviation industry. Aviation-related institutions such as FAA and EASA have established tool control regulations and systems to prevent FOD occurrence. However, in Korea, related regulations and procedures are insufficient. A systematic and effective tool control system is required for reliable manufacturing, airworthiness, operation, and maintenance of aircraft. In this paper, tool control regulations and procedures of domestic and foreign air traffic authorities and aviation industry-related organizations were studied. A wireless communication-based tool control system was proposed based on the NAS 412's tool control regulations certified by the National Standards Association.

• Journal of Navigation and Port Research
• /
• v.48 no.1
• /
• pp.1-6
• /
• 2024

Aid-to-Navigation facility is important for maritime traffic safety. In Korea, for safe maritime traffic, the Ministry of Oceans and Fisheries is using an Aid-to-Navigation management system. The current Aid-to-Navigation management system displays information based on text, making it difficult to determine the impact if Aid-to-Navigation fails or an accident occurs. A simulator can be used to verify the placement of Aid-to-Navigation. However, real-time information is not applied and maintenance of the simulator is expensive. Additionally, the Aid-to-Navigation simulator cannot simulate effects of port backlighting. To improve these issues, we proposed an Aid-to-Navigation management platform based on digital twin technology. This system can predict failures by analyzing real-time sensor data collected from navigation signs. We plan to develop a function that can simulate Aid-to-Navigation placement. Aid-to-Navigation is expected to be managed efficiently by applying digital twin technology.