• International conference on construction engineering and project management
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• 2009.05a
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• pp.1166-1169
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• 2009

Bridges are exposed to very severe environment and experience, as service life increased, elevated traffic load and traffic flow, in addition to natural disasters. In comparing to other road structures, bridges may cause more significant damage, such as human-involved accidents, to the society in the event of collapse. A certain level of service shall be necessarily secured to assure the minimum safety of users. The cost for manage and preserve bridges will increase gradually and more restrictions will be loaded to efficiently distribute the limited resources, such as monetary budget and human resource etc. In order to enhance performance and serviceability of bridges with the limited resource, asset management technique has been applied into the bridge management system, which capitalizes the road infrastructures including bridges and assess them in accordance with the government finance report. In the application of asset management, there must be a tool for assess the performance of bridges and this study introduces the basic information on the definition and role of performance measures for asset management for bridges. This research suggests future development direction of performance measure for asset management for bridges in Korea.

• Journal of the Korean Society of School Health
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• v.16 no.2
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• pp.25-34
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• 2003

Instroduction: The purpose of this study was to investigate safety education-related backgrounds and safety behaviors of elementary school children at a local area in Jeonbuk province. Methods: Study subjects were 308 5th and 6th graders from 6 schools located in J City and the data were collected from June 16-27, 2003. Research instrument to test safety behaviors was 4-points summated scale (Cronbach${\alpha}$= .94) composed of 54-items with three sub-categories school life safety (${\alpha}$= .88), traffic safety (${\alpha}$= .86), and daily life safety (${\alpha}$= .84), The data was analyzed by percentage, x2-test, t-test, ANOVA and Duncan test using SPSS/PC 10.0. Results: 1. Safety Education-related Characteristics: Safety education was mostly conducted during extracurricular hour as picnic (37%) and regular class (37.2%); and the instructors of safety education were school nurse (33.2%), classroom teacher (30.9%), and parents (23.4%) in order. About two third (71.0%) of the subjects have had many kinds of school event program such as essay writing, poster drawing, oratorical contest in the course of safety education According to gender, girl students was more favorable about school events as a effective safety education measure (x2=9.188, p= .010); and according to school location, nural school taught more at moming & closing session (x2=7.383, p= .025), by school nurse or classroom teacher (x2=36.574, p= .001), and had more frequent (x2=63.337, p= .001) safety education class. 2. Practice of safety behaviors: Mean scores of safety behaviors was $106.9{\pm}24.92$ out of 162 points. According gender, the scores of girl students (t=-3.296, p= .001) were significant higher than boy students. But there was not any significant difference according to school area According to safety education-related characteristics, the scores of safety behaviors was significantly higher in the group who thought that school event program was more effective on safety education (F=4.024, p= .019), and who were more interested in current safety education class (F= 10.203, p= .001) Conclusions: From the above findings, the authors concluded that school-based safety education was mainly conducted at extra-curricular and regular class, and by school nurse or classroom teacher in elementary school. Even though the mean scores of safety behaviors of elementary school children was in medium level, those. were significant higher in girl students and in rural school children. And extra-curricular activities and school event programs were suggested as more effective strategies for school-based safety education Based on the above findings, safety education class can be recommended in regular curricular basis; and various extracurricular activities and school event programs need to be developed for more effective school-based safety education. In addition, further study on gender-specific factors on safety behaviors and nationwide survey on school-based safety education should be needed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.1
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• pp.35-40
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• 2011

In this paper, we compare and analyze data aggregation methods based on event area in wireless sensor networks. Data aggregation methods consist of two methods: the direct transmission method and the aggregation node method. The direct aggregation method has some problems that are data redundancy and increasing network traffic as all nodes transmit own data to neighbor nodes regardless of same data. On the other hand the aggregation node method which aggregate neighbor's data can prevent the data redundancy and reduce the data. This method is based on location of nodes. This means that the aggregation node can be selected the nearest node from a sink or the centered node of event area. So, we describe the benefits of data aggregation methods that make up for the weak points of direct data dissemination of sensor nodes. We measure energy consumption of the existing ways on data aggregation selection by increasing event area. To achieve this, we calculated the distance between an event node and the aggregation node and the distance between the aggregation node and a sink node. And we defined the equations for distance. Using these equations with energy model for sensor networks, we could find the energy consumption of each method.

• Journal of the Korean Institute of Landscape Architecture
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• v.45 no.2
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• pp.1-10
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• 2017

This study used a quasi-experimental method to investigate if both travel involvement and the degree of recall of a traumatic event affect subjective well-being. For this, independent variables such as positive affect, negative affect, and life satisfaction were established. Four waves of data collection were performed with two to three weeks intervals, then the collected longitudinal data were analysed by repeated measure ANOVA. The study results indicated that travel involvement increases positive affect and life satisfaction, with the effect lasting four weeks or more, which means that travel is an effective tool to boost subjective well-being. Respondents who thought about a traumatic event more frequently had a much higher negative affect following the disaster, and such increased negative affect was maintained over seven weeks or longer. Therefore, this study finds that negative events produce larger, more consistent, or more lasting effects than positive events. As well as travel participation, visiting an urban park is a pleasurable experience. Therefore, the study also finds that urban parks could be utilized for increasing and maintaining subjective well-being in the middle and long term as well as lessening personal stress.

• Transactions on Electrical and Electronic Materials
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• v.7 no.6
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• pp.313-318
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• 2006

This paper introduces a partial discharge (PD) severity metric, S, based on the evaluation of time-sequence PD data capture and resulting Time-Sequence-Analysis Discharge (TSAD) level distributions. Basically based on an IEC60270 measurement technique, each PD event is time stamped and the discharge level noted. By evaluating the time differences between a previous and subsequent discharge, a 3D plot of time-sequence activity and discharge levels can be produced. From these parameters a measurement of severity, which takes into account dynamic or instantaneous variations in both the time of occurrence and the level of discharge, rather than using standard repetition rate techniques, can be formulated. The idea is to provide a measure of the severity of PD activity for potentially measuring the state of insulation within an item of plant. This severity measure is evaluated for a simple point-plane geometry in $SF_{6}$ as a function of gap distance and applied high voltage. The results show that as the partial discharge activity increases, the severity measure also increases. The importance of future investigations, quantifications and evaluations of the robustness, sensitivity and importance of such a severity measurement, as well as comparing it with typical repetition rate assessment techniques, and other monitoring techniques, are also very briefly discussed.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.6
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• pp.813-818
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• 2007

This paper is concerned with the problem of recognizing definition sentences. Given a definition question like "Who is the person X?", we are to retrieve the definition sentences which capture descriptive information correspond variously to a person's age, occupation, of some role a person played in an event from the collection of news articles. In order to retrieve as many relevant sentences for the definition question as possible, we adopt a centroid based statistical approach which has been applied in summarization of multiple documents. To improve the precision and recall performance, the weight measure of centroid words is supplemented by using external knowledge resource such as Wikipedia and redundant candidate sentences are removed from candidate definitions. We see some improvements obtained by our approach over the baseline for 20 IT persons who have high document frequency.

• Journal of Information Technology Applications and Management
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• v.22 no.3
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• pp.1-18
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• 2015

Financial markets are characterized by large numbers of complex and interacting factors which are ill-understood and frequently difficult to measure. Mathematical models developed in finance are precise formulations of theories of how these factors interact to produce the market value of financial asset. While these models are quite good at predicting these market values, because these forces and their interactions are not precisely understood, the model value nevertheless deviates to some extent from the observable market value. In this paper we propose a framework for augmenting the predictive capabilities of mathematical model with a learning component which is primed with an initial set of historical data and then adjusts its behavior after the event of prediction.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.5
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• pp.492-500
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• 2014

Activity monitoring has been widely recognized as important and critical tools in system monitoring for detection of abnormal behavior. In this research, we propose a data-driven activity monitoring method to measure relative sales performance which is not sensitive to special event which frequently occur in marketing area. Moreover, the proposed method can automatically updates the monitoring threshold that accommodates a drastically changing business environment. The results from simulation and practical case study from sales of electronic devices demonstrate the usefulness and applicability of the proposed activity monitoring method.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2000.06a
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• pp.260-263
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• 2000

In order to catch the relationship between psychophysiological symptoms and human work performance, the ERP technique was adopted as a measure, and two different tasks - a counting task and an Odd-Ball task were conducted. According to the results, the P300 amplitude during the counting task was not so high as that during the Odd Ball task, and correct response corresponded with stable ERP with high P300 amplitude whereas wrong response with unstable, fluctuating ERP with low P300 amplitude, Therefore it was concluded that it would be possible to grasp the symptoms of human errors with the help of psycho-physiological technique.

• Journal of the Korean Operations Research and Management Science Society
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• v.14 no.1
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• pp.88-96
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• 1989

General measure in the reliability is the k-terminal reliability, which is the probability that the specified vertices are connected by the working edges. To compute the k-terminal reliability components are usually assumed to be statistically independent. In this study the modeling and analysis of the k-terminal reliability are investigated when dependency among components is considered. As the size of the network increases, the number of the joint probability parameter to represent the dependency among components is increasing exponentially. To avoid such a difficulty the structured-event-based-reliability model (SERM) is presented. This model uses the combination of the network topology (physical representation) and reliability block diagram (logical representation). This enables us to represent the dependency among components in a network form. Computational algorithms for the k-terminal reliability in SERM are based on the factoring algorithm Two features of the ractoring algorithm are the reliability preserving reduction and the privoting edge selection strategy. The pivoting edge selction strategy is modified by two different ways to tackle the replicated edges occuring in SERM. Two algorithms are presented according to each modified pivoting strategy and illustrated by numerical example.