Due to the introduction of Smart Advanced Life Support in 2015, paramedics can provide Advanced Cardiovascular Life Support to patients with out-of-hospital cardiac arrest. Although studies have been conducted to confirm the effectiveness of Smart Advanced Life Support for patients with out-of-hospital cardiac arrest, there is a lack of exploration of the experiences that paramedics face in the field in a changed environment. In this paper, I report two cases experienced by paramedics when using Smart Advanced Life Support, including communication with uncooperative caregivers and the burden felt by paramedics. In addition, to promote Smart Advanced Life Support, I propose enhancing paramedic training, establishing communication guidelines with caregivers, expanding the promotion of Smart Advanced Life Support, and providing customized education for the elderly.

PURPOSES : This paper proposes an artificial neural network (ANN)-based real-time traffic signal time design model using real-time field data available at intersections equipped with smart intersections. The proposed model generates suitable traffic signal timings for the next cycle, which are assumed to be near the optimal values based on a set of counted directional real-time traffic volumes. METHODS : A training dataset of optimal traffic signal timing data was prepared through the CORSIM Optimal Signal Timing program developed for this study to find the best signal timings, minimizing intersection control delays estimated with CORSIM and a heuristic searching method. The proposed traffic signal timing design model was developed using a training dataset and an ANN learning process. To determine the difference between the traditional pre-time model primarily used in practice and the proposed model, a comparison test was conducted with historical data obtained for a month at a specific intersection in Uiwang, Korea. RESULTS : The test results revealed that the proposed method could reduce control delays for most of the day compared to the existing methods, excluding the peak hour periods when control delays were similar. This is because existing methods focus only on peak times in practice. CONCLUSIONS : The results indicate that the proposed method enhances the performance of traffic signal systems because it rapidly provides alternatives for all-day cycle periods. This would also reduce the management cost (repeated field data collection) required to increase the performance to that level. A robust traffic-signal timing design model (e.g., ANN) is required to handle various combinations of directional demands.

본 연구는 COVID-19로 인한 사회적 거리두기를 경험한 대학생의 사회·정서적 고립감, 우울, 스마트폰 중독 간의 관계를 살펴보고 대학생의 스마트폰 중독에 영향을 주는 요인을 파악하기 위해 시도되 었다. 본 연구에 참여한 대상자는 4개 대학교에 재학 중인 220명이며, 자료수집은 구글 폼으로 설문지를 구성하여 시행하였다. 자료 분석은 SPSS/WIN 28.0 프로그램을 이용하여 변수의 특성에 따라 통계적으로 분석하였다. 본 연구 결과, 대학생의 스마트폰 중독은 사회·정서적 고립감(r=.44, p<.001), 우울(r=.51, p<.001)과 유의한 양의 상관관계를 보였으며, 대학생의 스마트폰 중독에 영향을 주는 요인은 성별(β =.176, p=.001), 주말 스마트폰 사용 시간 7-9시간(β=.387, p=.001), 10-12시간(β=.313, p=.006), 12시 간 이상(β=.299, p=<.001), 우울(β=.302, p<.001), 사회·정서적 고립감(β=.210, p=.004)이었다. 회귀모 형은 통계적으로 유의하였으며 (F=15.81, p<.001) 모형의 설명력은 43% (adj R2=.43, p<.001)였다. 따라 서 대학생의 스마트폰 중독을 예방하기 위해 사회·정서적 고립감과 우울을 감소시킬 수 있는 정신건강 증 진 프로그램을 개발하여 활용할 필요가 있다.

본 연구에서는 첫째, 국제표준에서 규정한 형광직물과 재귀반사 소재에, 아동들이 선호하는 동물의 문양을 재귀반 사 필름과 검정색 직물로 디자인하여 부착한, 2벌의 안전의복과 안전조끼를 제작하였다. 둘째, 야간에 주변광원이 없어도 원거리에서 생체를 인지할 수 있도록 안전의복에 스마트 포토닉 디바이스를 장착함으로써, 어린이들이 어두 운 때 버튼 원터치만으로 상황에 따라 3가지 발광이 가능하도록 구현하였다. 제작한 스마트 안전의복을 마네킹에 착용시켜 주야간의 시인성을 비교한 결과, 시인성의 차이가 야간에 확연히 나타났는데, 기존의 안전의복 착용 시에 는 주변광원 없이는 착용자가 표출되지 않은 반면, 스마트 안전의복 착용 시는 약 70m의 원거리에서도 표출됨을 확인하였다. 따라서 야간이나 기상악화 시에 주행하는 운전자가 원거리에서 생체를 인지할 수 있어 교통사고나 도로상의 안전사고 예방에 기여할 것으로 기대된다. 셋째, 광섬유의 발광기능 안정성 유지와 발광시간의 연장을 위하여 에너지 소진 시 태양전지로 수확한 전기에너지를 사용함으로써, 장시간 안정되게 광섬유 발광이 가능하여 시인성의 안정성을 확인할 수 있었다. 이로써 스마트 포토닉 안전의복은 야간 작업자용으로도 활용 가능함이 증명되었다. 그 러므로 광섬유 안전의복은 태양전지에 의한 에너지 하베스팅 적용으로 안정적인 충전에 의해 실생활뿐만 아니라 어 두운 산업현장에서도 착용 가능성이 높을 것으로 기대된다.

Recently, small and medium-sized manufacturing companies have shown increased interest in and participation in smart factories in order to survive in market competition. However, many SMEs build smart factories without a systematic review or preparation, which leads to them not being able to use them properly. This study considers the main reason for the low utilization rate of smart factories to be a lack of sufficient reflection of user requirements. Therefore, a method and procedure for deriving the priority of smart factory requirement functions and operating performance indicators based on QFD is proposed as a solution to this issue.

Path planning is necessary for mobile robots to perform precise and rapid tasks. A collision avoidance function must be included so that the robot can move safely during work, and it must be able to create an optimal path to reduce work execution time and save energy. In this paper, we propose a smart route generation algorithm that searches for global route with an algorithm that can speed up route search and integrates the TEB algorithm that can search for regional optimum routes in real time according to the situation. The performance of the proposed algorithm was verified through actual driving experiments of mobile robots.

PURPOSES : This study proposes an index for analyzing mobility based on smartcard and taxi data to evaluate imbalances in public transit. METHODS : The proposed mobility index is calculated based on the difference between the mobility indexes of public transit and taxis using the variables of the in-vehicle time, waiting time, and driving ratio. For a more detailed analysis, the distances are divided into short distances, medium distances, and long distances. RESULTS : Public transit mobility indexes are generally evenly distributed, but the taxi mobility indexes are located in the largest legend. When comparing the respective mobilities of public transit and taxis, many areas with a high mobility of taxis (similar to the distribution) exist, especially in the outskirts such as Dobong-gu, Nowon-gu, Gangdong-gu, Guro-gu, Geumcheon-gu, and Eunpyeong-gu. On average, the mobility of public transit according to the distance is smaller in a short distance and higher in a long distance. CONCLUSIONS : The results demonstrate the use of the proposed index for analyzing the basic statuses of complementary indexes for evaluating public transit imbalances. In the future, more detailed results (including socioeconomic variables corresponding to the grid areas) should be studied to identify the impacts of the mobility index.

본 연구의 목적은 스마트시티 구축의 핵심인 수소연료전지의 활용형태를 분석하고 해결방안을 제시하는 것이다. 수소연료전지를 활용하는 발전소의 경우 간헐성 문제가 없다는 장점 때문에 향후 가장 유망한 사용 형태로 분석됐다. 다만 많은 장점에도 불구하고 폭발 우려와 특정 수소 생산방식의 경우 이산화탄소 발생 문제 등으로 지역주민들의 반발이 지속적 으로 나타나고 있어 이를 해결하는 것이 스마트시티 구축의 주요 관건이 될 것으로 분석된다. 마지막으로 현재의 수소 생산 방식을 분석하고 이에 따른 문제점을 파악하여 스마트시티의 완전한 구축을 위한 해결책을 제시하였다.

Manufacturing process mining performs various data analyzes of performance on event logs that record production. That is, it analyzes the event log data accumulated in the information system and extracts useful information necessary for business execution. Process data analysis by process mining analyzes actual data extracted from manufacturing execution systems (MES) to enable accurate manufacturing process analysis. In order to continuously manage and improve manufacturing and manufacturing processes, there is a need to structure, monitor and analyze the processes, but there is a lack of suitable technology to use. The purpose of this research is to propose a manufacturing process analysis method using process mining and to establish a manufacturing process mining system by analyzing empirical data. In this research, the manufacturing process was analyzed by process mining technology using transaction data extracted from MES. A relationship model of the manufacturing process and equipment was derived, and various performance analyzes were performed on the derived process model from the viewpoint of work, equipment, and time. The results of this analysis are highly effective in shortening process lead times (bottleneck analysis, time analysis), improving productivity (throughput analysis), and reducing costs (equipment analysis).