• Journal of Korean Academy of Nursing
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• v.11 no.1
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• pp.45-63
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• 1981

This study was done to determine the relationship between the anxiety levels of hospitalized psychiatric patients and various influencing variables. The purpose of this study was to determine factors that may help hospitalized psychiatric patients to experience lower levels of anxiety in relation to changing situations and provide the basic data for a dynamic approach which is important in the field of modern psychiatric nursing that understands and analyses the meaning of patients behavior. The anxiety may produce stress, which is a common experience among all human beings. Patients may merely feel uncomfortable in the state of mild anxiety, however, the severe state could be an obstacle to treatment and recovery from disease. The anxiety of the psychiatric patient is a factor which greatly influencing the patient's behavior, so his disorderd behavior is an expression of defence or pathologically fixed behavior. According the psychiatric patient's anxiety at the time of admission is the concern of the health team. The nurse's special concern has to do with understanding and supporting the patient and meeting his individual needs by frequent close contact during the entire hospitalization period, compared to other teamembers the nurse's responsibility in this regard is greated. So this study emphasizes the necessity of creating conditions these, but above all the psychiatric nurse should create a therapeutic environment by not only regarding the patient's behavior or symptoms but understanding the meaning of them. The subjects of this study were 57 psychiatric patients selected from the K neuropsychiatric hospital located in Kunsan city. Data were collected twice from the same patients within a 24 hour period after admission and 10 days after admission. (September 18th to November 8th, 1980). The data collected method was through direct interview, and the interview time was 20 minutes for each patient. Data analysis included Item Analysis & Internal Consistency Reliability Tests, Percentages, t-test, analysis of variance and stepwise multiple regression analysis. The findings of this study were as follows. A. Test of Hypothesis a. Hypothesis 1 :“The anxiety level of psychiatric patients within 24 hours after admission will be higher than those of the same patients 10 days after admission,”was accepted. (t = 3. 15 ; p < 0.005) b. Hypothesi 2:“The more the number of admissions the higher the level of anxiety related to two categories”, was accepted. (affective anxiety: F = 5.50, p < 0.005, Somatic anxiety: F = 9.12, p <.

• Journal of The Korean Association For Science Education
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• v.36 no.3
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• pp.371-387
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• 2016

Learning at the elbow of scientist is a well-known educational approach to improve students' understanding of science and scientific practice. This study, in the perspective of legitimate peripheral participation in a community of practice, explores how students' scientific practice and perception could be shifted through R&E program with the development of participation. Data from participant observation for 18 months and in-depth interviews were analyzed based on constant comparative method to extract common characteristics of students' participation and major shifts in their scientific practices and perceptions. Students' development of participation was categorized into three stages: legitimate, peripheral, and full participation. In the stage of peripheral participation, students perceived themselves as mere students and showed passive engagement. They just followed the directions of researchers and didn't know what they should be doing. But through continuous participation, students showed enhanced engagement like voluntary article reading, role assignments, and establishing norms in a community of practice with the reference of scientists'. In this stage of transitional participation, students also showed a deepened perception on everyday life of scientist and the community of scientist. And finally in the stage of full participation, students showed responsibility and ownership on research and continuous efforts to refine their research. They recognized themselves as beginning scientists. With these findings, this paper highlighted the dynamic processes of students' development of scientific practices and identity through R&E participation. It also suggests implications for research programs for education, especially for students who have already articulated a science-related career but still have only foggy notions about science.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.593-596
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• 2018

The speed of vehicles has remained a significant factor that influences the severity of accidents and traffic accident rate in many parts of the world including South Korea. This behavior where drivers drive at speeds which exceed a posted safe threshold is known as 'speeding'. Over the past twenty years, the Korean National Police Agency (NPA) has become aware of an increased frequency of drivers who are speeding. Therefore, fixed-type ASE systems [1] have been installed on hazardous road sections of many highways. These system monitor vehicle speeds using a camera. However, the use of ASE systems has changed the behavior of the drivers. Specifically, drivers reduce speed or avoid the route where the cameras are mounted. It is not practical to install cameras at every possible location. Therefore, it is challenging to thoroughly explore the location where speeding occurs. In view of these problems, the author of this paper designed and implemented a prototype visualization system in which point and color are used to show vehicle location and associated over-speed information. All of this information was used to create a comprehensive visualization application to show information about vehicle driving. In this paper, we present an approach detecting vehicles moving at speeds which exceed a threshold and visualizing the points those violations occur on a map. This was done using vehicle trajectory data collected in Daegu city. We propose steps for exploring the data collected from those sensors. The resulting mapping has two layers. The first layer contains the dynamic vehicle trajectory data. The second underlying layer contains the static road networks. This allows comparing the speed of vehicles on roads with the known maximum safe speed of those roads, and presents the results with a visualization tool. We also compared data about people who drive over threshold safe speeds on each road on days and weekends based on vehicle trajectories. Finally, our study suggests improved times and locations where law enforcement should use monitoring with speed cameras, and where they should be stricter with traffic law enforcement. We learned that people will drive over the speed limit at midnight more than 1.9 times as often when compared with rush hour traffic at 8 o'clock in the morning, and 4.5 times as often when compared with traffic at 7 o'clock in the evening. Our study can benefit the government by helping them select better locations for installation of speed cameras. This would ultimately reduce police labor in traffic speed enforcement, and also has the potential to improve traffic safety in Daegu city.

• The KIPS Transactions:PartD
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• v.19D no.1
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• pp.63-80
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• 2012

Mobile devices with Android OS and iOS have been emerged as mobile computing devices where various software applications are deployed. Furthermore, they are anticipated to be used not only for traditional personal computing but also for enterprise computing. However, such mobile devices have their intrinsic characteristics such as limited resources and flexible network capabilities, which are not revealed in traditional computers. Hence, there is high demand for methods to develop mobile applications with reflecting their intrinsic characteristics. Since those characteristics belong to non-functional requirements, they should be reflected in architecture design while designing mobile applications. To design architecture, the architecture drivers that are architecture non-functional requirements are decided from mobile application characteristics. Conventional architecture design methods do not consider those characteristics so that the methods cannot be straightforwardly applied to mobile applications. In this paper, to efficiently develop mobile applications reflecting those characteristics, we propose a set of architecture patterns and define a guideline to apply those patterns. First, we define the characteristics of mobile applications distinguished and derive architectural drivers from them. Then, we propose architecture patterns in terms of static and dynamic views and define an architectural guideline to apply the patterns to designing architecture for mobile application. And, we perform case studies to verify the applicability of proposed patterns. Finally, we assess the proposed architecture patterns by proving how the patterns can fulfill identified architecture drivers and by comparing our approach with previous works.

• The KIPS Transactions:PartD
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• v.14D no.2
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• pp.265-272
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• 2007

In this paper, we implement an automated composition system of web services using hybrid techniques that merge the benefit of BPEL techniques, with the advantage of OWL-S, BPEL techniques have practical capabilities that fulfil the needs of the business environment such as fault handling and transaction management. However, the main shortcoming of these techniques is the static composition approach, where the service selection and flow management are done a priori and manually. In contrast, OWL-S techniques use ontologies to provide a mechanism to describe the web services functionality in machine-understandable form, making it possible to discover, and integrate web services automatically. This allows for the dynamic integration of compatible web services, possibly discovered at run time, into the composition schema. However, the development of these approaches is still in its infancy and has been largely detached from the BPEL composition effort. In this work, we describe the design of the SemanticBPEL architecture that is a hybrid system of BPEL4WS and OWL-S, and propose algorithms for web service search and integration. In particular, the SemanticBPEL has been implemented based on the open source tools. The proposed system is compared with existing BPEL systems by functional analysis. These comparisions show that our system outperforms existing systems.

• Journal of Korean Tunnelling and Underground Space Association
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• v.19 no.2
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• pp.143-159
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• 2017

A probabilistic fragility assessment procedure is developed in this paper to predict risks of damage arising from seismic loading to the two-cell RC box tunnel. Especially, the paper focuses on establishing a simplified methodology to derive fragility curves which are an indispensable ingredient of seismic fragility assessment. In consideration of soil-structure interaction (SSI) effect, the ground response acceleration method for buried structure (GRAMBS) is used in the proposed approach to estimate the dynamic response behavior of the structures. In addition, the damage states of tunnels are identified by conducting the pushover analyses and Latin Hypercube sampling (LHS) technique is employed to consider the uncertainties associated with design variables. To illustrate the concepts described, a numerical analysis is conducted and fragility curves are developed for a large set of artificially generated ground motions satisfying a design spectrum. The seismic fragility curves are represented by two-parameter lognormal distribution function and its two parameters, namely the median and log-standard deviation, are estimated using the maximum likelihood estimates (MLE) method.

• Journal of the Korea Society of Computer and Information
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• v.16 no.7
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• pp.105-115
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• 2011

In Vision-based Intelligent Transportation System(ITS) the segmentation of road region is a very basic functionality. Accordingly, in this paper, we propose a region segmentation method using adaptive pattern extraction technique to segment road regions and sky regions from original images. The proposed method consists of three steps; firstly we perform the initial segmentation using Mean Shift algorithm, the second step is the candidate region selection based on a static-pattern matching technique and the third is the region growing step based on a dynamic-pattern matching technique. The proposed method is able to get more reliable results than the classic region segmentation methods which are based on existing split and merge strategy. The reason for the better results is because we use adaptive patterns extracted from neighboring regions of the current segmented regions to measure the region homogeneity. To evaluate advantages of the proposed method, we compared our method with the classical pattern matching method using static-patterns. In the experiments, the proposed method was proved that the better performance of 8.12% was achieved when we used adaptive patterns instead of static-patterns. We expect that the proposed method can segment road and sky areas in the various road condition in stable, and take an important role in the vision-based ITS applications.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.4 s.304
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• pp.167-176
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• 2005

This paper proposes a new power minimization technique for the frame-based multimedia signal processing. The derivation of the technique is based on the newly proposed microscopic DVS(Dynamic Voltage Scaling) method, where, the operating frequency and the supply voltage levels are dynamically controlled according to the processing requirement for each frame of multimedia data. The multimedia signal processing algorithms are also redesigned and optimized to maximize the power saving efficiency of the microscopic DVS technology. The characterization of the mean/variance distribution of the processing load in the frame-based multimedia signal processing provides the major basis not only for the optimized application of the microscopic DVS technology but also for the optimization of the multimedia algorithms. The power saying efficiency of the proposed DVS approach is experimentally tested with the algorithms of MPEG-2 video decoder and MPEG-2 AAC audio encoder on the ARM9 RISC processor. The experimental results with the diverse MPEG-2 video and audio files show The average power saving efficiencies of 50$\%$ and 30$\%$, respectively. The results also agree very well with those of the analytic derivations.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.5
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• pp.107-116
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• 2011

In this paper, a traffic adaptive sleep based medium access control (TAS-MAC) protocol for wireless sensor networks (WSNs) is proposed. The protocol aims for WSNs which consist of clustered sensor nodes and is based on TDMA-like schema. It is a typical schedule based mechanism which is adopted in previous protocols such as LEACH and Bit-Map Assisted MAC. The proposed MAC, however, considers unexpected long silent period in which sensor nodes have no data input and events do not happen in monitoring environment. With the simple traffic measurement, the TAS-MAC eliminates scheduling phases consuming energy in previous centralized approaches. A frame structure of the protocol includes three periods, investigation (I), transmission (T), and sleep-period (S). Through the I-period, TAS-MAC aggregates current traffic information from each end node and dynamically decide the length of sleep period to avoid energy waste in long silent period. In spite of the energy efficiency of this approach, the delay of data might increase. Thus, we propose an advanced version of TAS-MAC as well, each node in cluster sends one or more data packets to cluster head during the T-period of a frame. Through simulation, the performance in terms of energy consumption and transmission delay is evaluated. By comparing to BMA-MAC, the results indicate the proposed protocol is more energy efficient with tolerable expense in latency, especially in variable traffic situation.

• Journal of Korea Port Economic Association
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• v.28 no.3
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• pp.235-257
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• 2012

Recently the role of ports has been changed to satisfy flexibly needs of demands in global economy. A new concept for ports is not just a place for international trade but an important nodal point in logistics chain. The changing environment like this trend creates a high degree of uncertainty and leaves port managers confused with the question how to respond effectively to dynamic market. The latest studies provide that the port must have a good hinterland to achieve competitive advantages in a logistics chain. Korean Government announced "The Master Development Plan for Port Logistics Parks in Korea" in 2006. This contains the plan of hinterland construction of Busan New Port to achieve the status of logistics hub in Asian market. Previous studies rely solely on traditional DCF(discounted cash flow) analysis for investment of hinterland. However DCF method does not include irreversibility, uncertainty and the choice of timing for investment project. This thesis introduces a ROPM(real options pricing model) which overcomes the limitations of traditional valuation methods. The option valuations in this study utilize the Black-Scholes model, the binomial model and the MonteCarlo simulation to value investment opportunity of a port hinterland. In this thesis, an attempt is made to modify the NPV criterion by incorporating the real options approach, and its application is demonstrated in a hinterland construction investment plan. This research has conducted an empirical analysis by calculating economic value of the investment for a hinterland of Busan New Port.