• 한국안전학회지
• /
• 제32권2호
• /
• pp.27-33
• /
• 2017

This study is intended to identify issues on the basis of investigating the actual state of laboratory environment and outlet circuit, and derive end states by expressing sequences from the initiating event of disaster to accident in leakage current, poor contact and overload through ETA(event tree analysis). To this end, this study investigated the actual state of electric equipment of laboratory at universities in all parts of country. And it is shown that most of them are failure in electric work and user negligence in the investigation of actual state. It is found that there is earth fault and defect in wire diameter in the failure of electric work and the problem of partial disconnection due to wire bundling and poor contact in user negligence. Outlet-related component, failure rate and initiating events are composed of a total of 41 initiating events, i.e., 30 internal initiating events and 11 external initiating events. And end states are composed of a total of 15 parts, i.e., 3 electric power parts and 12 safety parts. Earthing class 3 is the most important safety device against leakage current (initiating event). And in case of poor contact, it is necessary for manager to check thoroughly because there is no safety device. In case of overload/overcurrent, when high-capacity equipment is connected, a molded case circuit breaker, safety device, worked. However, in most cases, it is verified that this doesn't work. This study can be utilized as electric equipment safety guide for laboratory safety manager and managers.

• 한국치위생학회지
• /
• 제16권6호
• /
• pp.863-877
• /
• 2016

The study aimed to investigate the influence of perceived patient safety culture on patient safety management activity in the dental hygienists. Methods: A self-reported questionnaire was completed by 292 dental hygienists in Seoul, Incheon and Gyeonggido from March 1 to April 8, 2016. The questionnaire consisted of general characteristics of the subjects (9 items), patient safety culture (44 items), and patient safety management activity (25 items) by Likert 5 point scale. Data were analyzed by t test, one way ANOVA, stepwise multiple regression test, and post-hoc Tukey test using SPSS 18.0 program. Results: The perceived patient safety culture was 3.50 on average. Entire organization was the highest score (3.68) and followed the communication process (3.55), the environment of work unit (3.47), the attitude of supervisor/manager (3.45), and the frequency of events reported (2.98). The average of patient safety management activity was 3.71. As for the factors of patient safety culture on patient safety management activity, communication process was the most influential factor (${\beta}=0.268$), and followed the entire organization (${\beta}=0.265$), the environment of work unit (${\beta} =0.166$), the frequency of events reported (${\beta}=0.104$), and among the control variables. Work place proved to be the only significant variable. Conclusions: In order to promote patient safety management activity of dental institutions, the patient safety culture should be created and established. The influence of communication process and patient safety culture at entire organization level was huge. So the environment of work unit and the perceived patient safety culture in the process of reported events were influencing factors. The strategy for patient safety management activity should be considered because of low level of perceived patient safety culture.

• Earthquakes and Structures
• /
• 제17권6호
• /
• pp.591-598
• /
• 2019

The most recent shaking experiences have demonstrated that the predictions of the seismic models are not always in agreement with the registered responses, especially in the face of extreme earthquakes. Records collected from 1960 to 2011 at a rock-like site are used to develop a neural network that permits to estimate peak ground accelerations via the magnitude, the focal depth, the site-source distance and a seismogenic zone. The neural model is applied to the 8th and 19th September 2017 events that hit Mexican territory and the obtained results show that the network is flexible enough to work appropriately to various conditions of intensity and sites-sources with remarkably predictive capacity. The neural-attenuation curves are compared with those obtained from Ground Motion Prediction Equations and their performance is assessed for events, in addition to the devastating Mexican events, from Japan, Taiwan, Chile and USA.

• 한국안전학회지
• /
• 제36권5호
• /
• pp.86-91
• /
• 2021

Calculating the scrutable core damage frequency (CDF) of nuclear power plants is an important component of the seismic probabilistic safety assessment (SPSA). In this work, a simple approach is developed to calculate CDF from minimal cut sets (MCSs) with non-rare events. When conventional calculation methods based on rare event approximations are employed, the CDF of industry SPSA models is significantly overestimated by non-rare events in the MCSs. Recently, quantification algorithms using binary decision diagrams (BDDs) have been introduced to prevent CDF overestimation in the SPSA. However, BDD structures are generated from a small part of whole MCSs due to limited computational memory, and they cannot be reviewed due to their complicated logic structure. This study suggests a simple approach for scrutinizing the CDF calculation based on whole MCSs in the SPSA system analysis model. The proposed approach compares the new results to outputs from existing algorithms, which helps in avoiding CDF overestimation.

• 한국도서관정보학회지
• /
• 제39권1호
• /
• pp.409-429
• /
• 2008

본 논문은 공공도서관에서 운영되고 있는 독서관련 행사를 분석하고, 독서진흥을 위하여 독서관련 행사의 활성화 방안을 다음과 같이 제시하였다. (1) 독서진흥을 담당하는 전담부서를 조직하고 운영한다. (2) 독서진흥을 위하여 도서관주간, 독서의 달 등 절기에 따라 다양한 행사를 한다. (3) 독서진흥을 위하여 이용자를 위한 다양한 행사를 한다. (4) 사서교사 자격증이 있는 사서에게 독서진흥 업무를 맡긴다. (5) 독서진흥을 위하여 시청각실 등 다목적실을 마련한다. (6) 독서진흥을 위하여 사이버공간 들을 이용하여 홍보활동을 한다. (7) 독서진흥을 위하여 관련 단체와 협력한다. (8) 독서진흥을 위한 예산을 증액한다.

• 여성건강간호학회지
• /
• 제30권1호
• /
• pp.67-78
• /
• 2024

Purpose: The present study investigated experiences of traumatic perinatal events, the provision of related education, and educational needs of nurses working in the labor and delivery room (LDR). Methods: Nurses working in the LDRs of six institutions and two nurse portal sites were invited to participate in the survey, delivered on paper or online. The data were collected from October 1 to November 25, 2022. Data from 129 nurses were analyzed using frequency, the chi-square test, the Fisher exact test, the t-test, and analysis of variance. Results: Virtually all participants (98.6%) reported having experienced at least one traumatic perinatal event (dystocia, postpartum hemorrhage, neonatal congenital anomalies, severe maternal or neonatal injury, stillbirth, and maternal or neonatal death) while working in the LDR. The most shocking traumatic perinatal event experienced was the maternal or neonatal death (40.3%), but 24.8% of participants did not recall ever receiving education on the topic. About 63% of participants experienced traumatic perinatal events within a year of working in the LDR. The average score for education needs regarding traumatic perinatal events was 3.67±0.37 out of 4, and participants preferred simulation education as the most effective educational method. Conclusion: Since most of the participants had experienced various traumatic perinatal events in the early stages of working in the LDR and expressed a high level of need for education on traumatic perinatal events, it is necessary to provide more effective stimulation education programs in the early period of work in the LDR.

• International Journal of Computer Science & Network Security
• /
• 제21권5호
• /
• pp.121-128
• /
• 2021

In this work, a noble walkway approach suitable for Saudi Arabia (SA) towards its aim to develop a wide range of smart cities is considered scientifically. This work intends to minimize the errors at each level by testing the events that take place in the walkway environment. similarly, the minimum requirements to develop a walkway to the additional features to be considered while designing a walkway are discussed in this paper with sensitive areas such as environmental factors, healthcare issues, patients visiting the walkways, etc. The applications of different monitoring devices such as CCTV's, global positioning systems (GPS), etc. are carefully addressed to help the proposed method for improving the monitoring activities of a variety of events that possibly cause problems to a common man. The ultimate goal of this work to ensure a safe and satisfied journey of pedestrians while they come for a walk with all suitable safety measures. The safety measures included in this work are for pollution, noise, temperature, humidity and traffic jams on the roads. To improve the accuracy and to test the proposed approach some polices are defined and will be tested for the consistency of the proposed system. The obtained accuracy of the proposed system is proved to be far better with an accuracy of 93% improvement in the results.

• 대한인간공학회지
• /
• 제15권1호
• /
• pp.27-38
• /
• 1996

A total of 77 unanticipated trip cases induced by human errors in Korean nuclear power plants were collected from the nuclear power plant trip event reports and analyzed to investigate the areas of high priority for human error reduction. Prior to this analysis, a classification system was made on the four task-related categories including plant systems, work situations, task types, and error types. The erroneous actions affecting the unanticipated plant trips were indentified by reviewing carefully the description of trip events. Then, the events with erroneous action were analyzed by using the classification system. Based on the results for the individual cases, human error occurrences were counted for each of the four categories, also for the selected pairs of categories, to find out the relationships between the two categories in aspects of human errors. As a result, the plant systems, work situations, and task types, and error types which are dominant in human error occurrences were identified.

• 한국환경과학회지
• /
• 제23권2호
• /
• pp.261-274
• /
• 2014

This work investigates the relationship between the sea breeze circulation and ozone concentrations during cold water events in the southeastern coastal area of the Korean Peninsula, where coastal upwelling frequently occur. This analysis was performed based on the classification of two categories, such as cold water and non-cold water events, over the period of 2000-2009. The low air temperature ($0.5^{\circ}C$), low SST ($5^{\circ}C$) and the wind direction(southerly) are the features of the cold water events in the Southeastern coastal area. Moreover, ozone concentrations in the cases of the sea breeze circulation and cold water events were significantly lower (below 30 ppb) than those (70~100 ppb) in the non-clod water events, because of the low air temperature ($10{\sim}20^{\circ}C$) and high wind speed (3~5 m/s) around the southeastern coastal area.

• IEIE Transactions on Smart Processing and Computing
• /
• 제5권4호
• /
• pp.256-266
• /
• 2016

Concurrently detected and annotated abnormal events can have a significant impact on surveillance systems. By considering the specific domain of pedestrian trajectories, this paper presents two main contributions. First, as introduced in much of the work on trajectory-based anomaly detection in the literature, only information about pedestrian paths, such as direction and speed, is considered. Differing from previous work, this paper proposes a framework that deals with additional types of trajectory-based anomalies. These abnormal events take places when a person enters prohibited areas. Those restricted regions are constructed by an online learning algorithm that uses surrounding information, including detected pedestrians and background scenes. Second, a simple data-boosting technique is introduced to overcome a lack of training data; such a problem particularly challenges all previous work, owing to the significantly low frequency of abnormal events. This technique only requires normal trajectories and fundamental information about scenes to increase the amount of training data for both normal and abnormal trajectories. With the increased amount of training data, the conventional abnormal trajectory classifier is able to achieve better prediction accuracy without falling into the over-fitting problem caused by complex learning models. Finally, the proposed framework (which annotates tracks that enter prohibited areas) and a conventional abnormal trajectory detector (using the data-boosting technique) are integrated to form a united detector. Such a detector deals with different types of anomalous trajectories in a hierarchical order. The experimental results show that all proposed detectors can effectively detect anomalous trajectories in the test phase.