• Informatization Policy
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• 제26권1호
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• pp.62-82
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• 2019

This study attempts to make an empirical analysis on how mobile devices affect users in building their social relationship and if their influences are negative or positive. The purpose of this research is to explain the results by considering all the possibilities and exploring everyday lives of using mobile devices. We used the survey data from the "Research on Mobile Environment Awareness" conducted by Gyeonggi Research Institute(GRI). The main question was about the use of mobile devices and social network services (SNS) and users' opinions on using the devices. All of the 31 municipalities in Gyeonggi Province were included as a spatial range, and the final validity sample was 1,004 residents. The extent of the relationship with people is selected as a dependent variable through the multinomial logistic model and the decision tree model. As a result of the multinomial logistic analysis on the questionnaire, the characteristics of the respondents with some changes in the scope of the human relationship were found to have a significant (+) effect on conversation with family, SNS usage, residence in the rural area but not urban area, and device usage for obtaining news. The largest variable affecting the extent of relationship was the SNS usage. As the amount of SNS usage increases, the extent of the relationship also changes a lot.

• Journal of The Korean Association of Information Education
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• 제24권5호
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• pp.511-518
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• 2020

Preparing for the Fourth Industrial Revolution and Corona-19, our education is expanding a new chapter of learning to the era of AI education that incorporates software technology beyond software education. In this study, we will analyze the case of learner-centered assessment in software education and examine the assessment direction of artificial intelligence education through its effectiveness. Through the case of applying learner-centered assessment to non-computer subjects including computer subjects, we sought the effects on learners' learning, environmental conditions and assessment models of learner-centered evaluation, and through the case of applying the learner-centered assessment model to software education, we wanted to find out what the learner-centered assessment in artificial intelligence education suggests to the educational site. According to the analysis, the learner-centered assessment had a significant effect on the learner's achievement goal, and it is expected that the learner-centered assessment in artificial intelligence education will be carried out smoothly when an objective evaluation system and objective evaluation model are designed to help the learner's assessment, building digital environment conditions based on intelligent information technology.

• Journal of Korean Library and Information Science Society
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• 제53권3호
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• pp.95-117
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• 2022

This study was conducted as basic research for establishing a mid to long term development plan for libraries in Uiseong-gun, designated as a depopulated area. First, the social, cultural, and environmental characteristics of Uiseong-gun were analyzed and compared with the library infrastructure of depopulation areas similar in size with Uiseong-gun. In addition, a survey was conducted on the perception of users to understand the usage status of libraries, satisfaction with services and improvement plans, non-use factors, and demands for new libraries. Based on this process, the direction of Uiseong-gun library policy was presented. Specifically, four strategic directions for the development of libraries (future orientation, community revitalization, service specialization of the information poor, enhancement of local humanities and spiritual culture) and five key service tasks (building library brand, implementing innovative spaces and services, expanding library functions for improvement of settlement conditions of residents, developing and providing services for the elderly reflecting local characteristics, promoting reading culture) were derived. The proposed core tasks focused on future-oriented library services to overcome the limitations of a population decrease area and develop the potential of Uiseong-gun.

• Journal of the Korean Geotechnical Society
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• 제38권3호
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• pp.17-26
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• 2022

Domestic district heating system needs safety management guidelines using the change of surface temperature to detect damages to buried heat pipes. This paper performed numerical analyses on the temperature change of ground surface due to the burial and leakage of heat pipes. Temperature difference between the ground surface above the buried heat pipes and the surrounding surface rises to a crescendo between 3 am and 8 am. It is more significant in winter rather than in summer. Low groundwater level magnifies the temperature increase of the ground surface by the heat pipe, which is smaller in the asphalt pavement than in the bare soil. Without leakage of the buried heat pipe, the temperature increment on the ground surface by the heat pipe is within 3.0℃ in the bare soil and 3.5℃ in the asphalt pavement. Leakage of the supply heat pipe in the bare soil increases the temperature on the ground surface gradually in the summer but rapidly in the winter. Asphalt pavement shows a lower increment and increasing rate of the temperature on the ground surface due to pipe leakage than bare soil surface. And leakage on both sides of the supply pipe takes 1-2 days for the temperature difference from the surrounding soil surface to reach 10℃.

• KSCE Journal of Civil and Environmental Engineering Research
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• 제42권2호
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• pp.281-290
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• 2022

In Korea, the number of national facilities for which a safety inspection is mandatory is increasing, and a safer safety inspection method is needed. This study aimed to increase the efficiency of the bridge safety inspection by enabling rapid exterior inspection while securing the safety of inspectors by using drones to perform the safety inspections of bridges, which had mainly relied on visual inspections. For the research, the Youngjong Grand Bridge in Incheon was selected as a test bed and was divided into four parts: the warren truss, suspension bridge main cable, main tower, and pier. It was possible to establish a five-step standard procedure for drone safety inspections. The step-by-step contents of the standard procedure obtained as a result of this research are: Step 1, facility information collection and analysis, Step 2, analysis of vulnerable parts and drone flight planning, Step 3, drone photography and data processing, Step 4, condition evaluation by external inspection, Step 5, building of external inspection diagram and database. Therefore, if the safety inspections of civil engineering facilities including bridges are performed according to this standard procedure, it is expected that these inspection can be carried out more systematically and efficiently.

• KSCE Journal of Civil and Environmental Engineering Research
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• 제29권6B호
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• pp.551-560
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• 2009

This paper describes a newly developed pollutant transport model named ARPTM which was designed to simulate the transport and characteristics of pollutant materials after an accidental spill in upstream of river system up to a given position in the downstream. In particular, the ARPTM incorporated ADCP data to compute longitudinal dispersion coefficient and advection velocity which are necessary to apply one-dimensional advection-dispersion equation. ARPTM was built on top of the geographic information system platforms to take advantage of the technology's capabilities to track geo-referenced processes and visualize the simulated results in conjunction with associated geographic layers such as digital maps. The ARPTM computes travel distance, time, and concentration of the pollutant cloud in the given flow path from the river network, after quickly finding path between the spill of the pollutant material and any concerned points in the downstream. ARPTM is closely connected with a recently developed GIS-based Arc River database that stores inputs and outputs of ARPTM. ARPTM thereby assembles measurements, modeling, and cyberinfrastructure components to create a useful cyber-tool for determining and visualizing the dynamics of the clouds of pollutants while dispersing in space and time. ARPTM is expected to be potentially used for building warning system for the transport of pollutant materials in a large basin.

• Journal of Environmental Policy
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• 제10권4호
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• pp.39-59
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• 2011

In this article, I would like to analyze the conditions in applying the LCC method for each construction type by selecting 10 apartment complexes among the Turn-key projects which have been ongoing for the last 5 years. In addition, this article will identify the problems to the application of double landscape architecture and suggest improvement measures. Among the 10 case targets, a total of 151 LCC analyses were conducted, and the average application ratio placing for each construction type was shown in the following order: architecture (34.4%)> electricity (21.2%)>machine (18.5%)>civil engineering (13.2%)>landscape architecture (12.6%). As numbers show, landscape architecture was the lowest. The ratio of LCC reduction amount was shown in the following order: machine (32.1%)> architecture (23.9%)>electricity (23.4%)>civil engineering (17.5%)>landscape architecture (3.1%). The field of landscape architecture had a reduction amount that was about 5 to 6 times lower than civil engineering which had a similar number of LCC analysis cases. The total LCC analysis items of landscape architecture was 19, including 15 double packing material, 1 building covering, 1 grass planting, 1 planting infrastructure, and 1 facility. The following measures were suggested to promote LCC analysis in landscape architecture: first, set an analysis item that considers the construction expense ratio of landscape architecture; second, legal regulation of landscape architecture and expansion of its application; third, prepare VE/LCC standards which are suitable for landscape architecture.

• KSCE Journal of Civil and Environmental Engineering Research
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• 제40권3호
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• pp.303-314
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• 2020

The hydrological characteristics of watersheds and hydraulic systems of urban and river floods are highly nonlinear and contain uncertain variables. Therefore, the predicted time series of rainfall-runoff data in flood analysis is not suitable for existing neural networks. To overcome the challenge of prediction, a NARX (Nonlinear Autoregressive Exogenous Model), which is a kind of recurrent dynamic neural network that maximizes the learning ability of a neural network, was applied to forecast a flood in real-time. At the same time, NARX has the characteristics of a time-delay neural network. In this study, a hydrological model was constructed for the Taehwa river basin, and the NARX time-delay parameter was adjusted 10 to 120 minutes. As a result, we found that precise prediction is possible as the time-delay parameter was increased by confirming that the NSE increased from 0.530 to 0.988 and the RMSE decreased from 379.9 ㎥/s to 16.1 ㎥/s. The machine learning technique with NARX will contribute to the accurate prediction of flow rate with an unexpected extreme flood condition.

• Journal of the Korean Association of Geographic Information Studies
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• 제21권1호
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• pp.46-56
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• 2018

This paper aimed to identify main factors of community characters, which have an effect on the land surface temperature(LST) change and estimate the impacting coefficient(ratio) of factors in a significant level of statistics. Chungcheongbuk-do province was selected and then partitioned into city and county areas for the sake of convenience of modeling. LST time series data and the community character data were developed based on Terra Satellite MODIS data and collected from the National Statistical Office, respectively. By the cause and effect relationship between community characters and LST, regression coefficients were estimated using a penal model. In a panel modeling, LST and community characters were used as a dependent variable and explanatory variables, respectively. Panel modeling analysis was carried out using statistical package STATA14 and one-way fixed effect model was selected as the most suitable model to evaluate the regression coefficients in the study area. The impacting ratio of LST change by any explanatory variable derived from the regression coefficients of the panel model fixed. Impacting ratios for industrial areas, elevation ${\times}$ building, energy usage, average window speed, non-urban management area, agricultural, nature and environmental conservation, average precipitation were 3.746, 2.856, 2.742, 0.553, 0.102, 0.071 and 0.003, respectively.

• KSCE Journal of Civil and Environmental Engineering Research
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• 제38권1호
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• pp.91-102
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• 2018

The study was carried out to determine the real condition in parking environment improving zone suffering poor supply for demand and then present a solution to it. To this end, the study reviewed the existing data including parking ratio which means percent of the total parking space in the region divided by the number of registered vehicles in the zones and surveyed residents for their awareness of parking lots. The results showed some major findings as follows. Parking ratio is low and illegal parking is serious in the zones, which, as a consequence, it results in lack of parking area in the zones. More than 70% of those who live in the zones had inconvenience during parking. And insufficient space for parking generates illegal parking. Residents in the zones answered that the best way to deal with the parking problems is to create more parking zones. As they had more difficulties having parking spaces, they showed stronger tendency to use newly-built parking lots. The study also gave thought to building private parking lots as a solution to the parking issues in the zones. And it suggested that supporting policies on the private parking lots be strengthened to promote the private parking lots in residential areas. Those policies will gradually improve parking problems in the parking environment improving zone.