• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2004.10a
• /
• pp.47-50
• /
• 2004

웹사이트의 품질 평가는 기본적으로 품질과 관련한 개별 평가요소들에 대한 측정을 필요로 한다. 또 이러한 요소들은 웹사이트 유형에 따라 그 상대적 중요도가 다르기 때문에, 개별 웹사이트 유형에 따라 요소들의 중요도를 정확히 산출하는 것이 성공적 평가의 관건이다. 그러나 웹사이트 평가요소들의 가중치에 대한 합리적 산출방법에 관한 연구는 아직 미흡한 실정이다. 본 연구에서는 평가요소들에 대한 가중치를 AHP기법을 이용하여 합리적으로 도출하기 위하여 인터넷뱅킹 이용자들을 대상으로 개별 평가요소들의 중요도에 대한 인식을 조사하여 분석하였다.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.2
• /
• pp.77-84
• /
• 2017

Recently, interest in safety has been increasing in every area, especially in the field of transportation. The accurate evaluation of the stability of road facilities is needed to improve the level of safety in the field of transportation and the application of new technologies is required to reduce the number of natural disasters. In this study, the wind data were compared and analyzed according to the type of measurement, and an evaluation of the stability of road signs using the wind data was conducted. In addition, a stability plan to secure road signs was elaborated and its effect on the wind load was analyzed. It was found that the wind data measured by a mobile atmospheric observing system (MAOS) was 2.43 times bigger than that measured by the Korea meteorological administration (KMA) and road weather information system (RWIS). In terms of their stability, the road signs were susceptible to failure caused by gusty winds and it was found necessary to ensure their stability. In the future, it will be possible to evaluate the stability of road facilities using road line weather data and the application of wind load reduction technologies is expected to improve road safety.

• 한국도로학회지:도로
• /
• v.20 no.2
• /
• pp.48-54
• /
• 2018

• Asian Journal of Turfgrass Science
• /
• v.23 no.1
• /
• pp.151-162
• /
• 2009

When viewing that since the 1990s local governments have tried to build golf courses as a plan to revitalize the attraction of home and abroad tourists and to increase their tax incomes and that big companies are interested in leisure business including golf courses as a future promising business in the 21st century, golf courses seem to continuously increase in the future. On the contrary, noticing that golf courses are not only the main culprit behind the damage of natural environment and environmental pollution but also a target of real estate speculation and that golf makes a sense of incongruity between the classes of a society as a luxury sports, environment activists and local residents raise criticism to golf. Golf in our country shows a special sports phenomenon of which the pros and cons appear continuously. So, it is judged that policy for golf development direction should be set up based on verified scientific data. Thus, the research aims at deriving the location types of golf courses by looking at laws from the period of formation of the initial domestic golf courses to the recent period, grasping their distribution status according to time series and regions, conducting a questionnaire survey regarding location factors for golfers and the workers of golf courses, and dividing golf courses into several types. It is expected that the research will be a fundamental material when a golf course is built later on, contributing to the research of golf courses.

• Ecology and Resilient Infrastructure
• /
• v.7 no.4
• /
• pp.256-261
• /
• 2020

Roadside non-point pollution reduction facilities are classified as infiltration, vegetation, reservoir, and wetland types based on their respective pollution reduction mechanisms. However, without a detailed analysis of the road and traffic conditions it is very difficult for civil engineers to determine which category of pollution reduction facility is best suited to their planning requirements. To address this issue, we propose a new decision-making method for the selection of roadside non-point pollution reduction facilities. The principal factors informing the proposed decision-making methods are the road characteristics, including location, structure, number of lanes, and traffic volume. As a result of the study, a total of new pollution reduction plans were developed, with their selection conditions and the corresponding applicable facilities established. The effectiveness of the proposed pollution reduction schemes was demonstrated for roads in Kyounggi-do, providing a valuable basis for future pollution reduction plans.

• The Journal of Society for e-Business Studies
• /
• v.26 no.1
• /
• pp.93-106
• /
• 2021

Many recent studies on deep learning-based road crack detection have shown significantly more improved performances than previous works using algorithm-based conventional approaches. However, many deep learning-based studies are still focused on classifying the types of cracks. The classification of crack types is highly anticipated in that it can improve the crack detection process, which is currently relying on manual intervention. However, it is essential to calculate the severity of the cracks as well as identifying the type of cracks in actual pavement maintenance planning, but studies related to road crack detection have not progressed enough to automated calculation of the severity of cracks. In order to calculate the severity of the crack, the type of crack and the area of the crack in the image must be identified together. This study deals with a method of using Mobilenet-SSD that is deep learning-based object detection techniques to effectively automate the simultaneous detection of crack types and crack areas. To improve the accuracy of object-detection for road cracks, several experiments were conducted to combine the U-Net for automatic segmentation of input image and object-detection model, and the results were summarized. As a result, image masking with U-Net is able to maximize object-detection performance with 0.9315 mAP value. While referring the results of this study, it is expected that the automation of the crack detection functionality on pave management system can be further enhanced.

• The Mathematical Education
• /
• v.63 no.1
• /
• pp.19-33
• /
• 2024

This study investigates longitudinal patterns in middle school students' mathematics interest and achievement using panel data from the 4th to 6th year of the Gyeonggi Education Panel Study. Results from the multivariate growth mixture model confirmed the existence of heterogeneous characteristics in the longitudinal trajectory of students' mathematics interest and achievement. Students were classified into four latent classes: a low-level class with weak interest and achievement, a high-level class with strong interest and achievement, a middlelevel-increasing class where interest and achievement rise with grade, and a middle-level-decreasing class where interest and achievement decline with grade. Each class exhibited distinct patterns in the change of interest and achievement. Moreover, an examination of the correlation between intercepts and slopes in the multivariate growth mixture model reveals a positive association between interest and achievement with respect to their initial values and growth rates. We further explore predictive variables influencing latent class assignment. The results indicated that students' educational ambition and time spent on private education positively affect mathematics interest and achievement, and the influence of prior learning varies based on its intensity. The perceived instruction method significantly impacts latent class assignment: teacher-centered instruction increases the likelihood of belonging to higher-level classes, while learner-centered instruction increases the likelihood of belonging to lower-level classes. This study has significant implications as it presents a new method for analyzing the longitudinal patterns of students' characteristics in mathematics education through the application of the multivariate growth mixture model.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.39 no.6
• /
• pp.841-851
• /
• 2019

This study presents risk ranking by accident types at intersections, crosswalk and tunnel sections. An ordered logit model was used to estimate the accident severity of traffic accidents based on 58,868 accident records that have occurred on the Seoul and Gyeonggi-do over the period 2014-2017. The factors affecting the injury severity were identified by the estimated model first, and risk ranking was proposed according to conditions of accident occurrence using relative ratio analysis later. The analysis results showed that the injury severity dramatically depends on the location and time of the accident. The analysis results showed that the injury severity dramatically depends on the location and time of the accident. Furthermore, there are severe injury cases in terms of the injury severity despite the small number of occurrence of traffic accident, or there are severe injury cases in terms of the injury severity despite the high frequency of occurrence of traffic accident.

• JOURNAL OF ELECTRICAL WORLD
• /
• s.284
• /
• pp.40-46
• /
• 2000

산업의 발전과 국민소득의 향상으로 다양한 전기기계기구의 보급이 보편화되면서 전기화재의 발생도 빈번해지고 있다. 1998년도에 발생한 32,664건의 화재에서 10,897건이 전기로 인한 발생으로 33.4$\%$의 점유율을 보이고 있다. 이는 전년도와 비교하면 0.8$\%$가 낮아진 것이며, 1994년의 39.1$\%$에 비해서는 5.7$\%$가 낮아진 것으로, 일 평균 29.9건의 전기화재가 발생한 것으로 분석된다. 또한, 인명피해도 450명이 발생하여 전년도와 비교하면 사망자는 17.3$\%$가 증가한 88명이 발생하였고, 부상자는 32.6$\%$증가한 362명이 발생하여 일 평균 1.2명이 전기화재로 인하여 사망하거나 부상한 것으로 나타났다. 576억 4700만원이 발생한 재산피해는 전년도에 비하여 9.5$\%$가 증가한 것으로 나타났다. 이는 전기 화재로 인하여 일 평균 손실액이 1억 5800만원으로 화재가 점차 대형화 되어가고 있음을 보여주고 있다. 따라서 본 조사연구에서는 전기화재를 유형별로 분류하여 이들의 발생원인, 출화 기구 및 조사기법을 제시하고, 또한, 각각의 유형을 재현하여 과학적인 해석기준을 제시하고자 한다.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2005.05a
• /
• pp.353-357
• /
• 2005

본 연구에서는 위치할 대상물의 특성, 공간의 유형, 연결거리의 유형 등을 고려하여 위치문제의 크게 분야를 제안하였다. 공간의 유형으로는 연속공간, 이산공간, 시공간, 이산시공간, 영속시공간으로 나누었다. 연결거리의 유형으로는 격자연결거리, 직선연결거리, 곡선연결거리, 도로연결거리, 기타연결거리로 나누었다. 연속공간에 대해서는 그 형태에 따라 위치문제의 분야들의 유형을 제안해 보았다.