• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.25 no.1
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• pp.1-8
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• 2007

People tend to spend more time in indoor spaces than before such as shopping malls and subway stations. As buildings become larger and more complex, people feel difficulty in finding their ways to destinations. Consequently, a means to provide better paths can aid people in reducing time for finding ways. Routing information in large indoor spaces is especially required in emergency cases as fire, power failure and terror. This study suggests to compute optimal paths using $A^*$ algorithm based on raster GIS data structure. The suggested method can be used either in daily lives for path provision or in emergency cases for evacuation, and is illustrated on a campus building.

• Structural Engineering and Mechanics
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• v.19 no.4
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• pp.361-379
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• 2005

Reinforced concrete deep beams have useful applications in tall buildings and foundations. Over the past two decades, numerous design models for deep beams were suggested. However even the latest design manuals still offer little insight into the design of deep beams in particular when complexities exist in the beams like web openings. A method commonly suggested for the design of deep beams with openings is the strut-and-tie model which is primarily used to represent the actual load transfer mechanism in a structural concrete member under ultimate load. In the present study, the development of the strut-and-tie model is transformed to the topology optimization problem of continuum structures. During the optimization process, both the stress and displacement constraints are satisfied and the performance of progressive topologies is evaluated. The influences on the strut-and-tie model in relation to different size, location and number of openings, as well as different loading and support conditions in deep beams are examined in some detail. In all, eleven deep beams with web openings are optimized and compared in nine groups. The optimal strut-and-tie models achieved are also compared with published experimental crack patterns. Numerical results have shown to confirm the experimental observations and to efficiently represent the load transfer mechanism in concrete deep beams with openings under ultimate load.

• Journal of the Korean Association of Geographic Information Studies
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• v.24 no.4
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• pp.174-183
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• 2021

This study aims to suggest a method to provide a real-time noise map based on cloud using Amazon AWS. Acquiring environmental noise information, an Android app was developed to collect data on noise level, location, and measurement time of campus in Inha Technical College as a study area. Noise measurement information is transmitted to the AWS Cloud and managed, and the noise information collected through Amazon Quick Site is displayed in charts and maps. Finally, a web-based noise contour map and the results mapped to buildings were visualized with a Google map for users to search for the current environmental noise distribution. The real-time noise map presented as a result of this study is expected to be helpful for noise status and reduction policies.

• Journal of the Korean Institute of Educational Facilities
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• v.25 no.6
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• pp.3-10
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• 2018

This study analyzes the average acquisition ratio between the 1st and 4th grade and the distribution and characteristics of the acquisition between the assessment items based on the case of Green Building Certification System(GBCS) for the educational facilities on the university campus. By evaluating the difference between the best scored grade (Green 1st Grade) and the general grade (Green 4th Grade), we classified the cases where the difference between grades with little or big difference. By doing this, we were able to analyze the trend that were difficult to distinguish between difficult to score and an easy task. G-SEED should be used not only as a formal system for certifying certification, but also to provide environmentally-friendly technology for buildings as well as meeting market needs. To do this, it is necessary to further refine the evaluation criteria. In addition, it is necessary to establish a qualitative evaluation system by providing detailed criteria for items that are not distinguishable among grades. It is expected that this study will be used to improve the detailed evaluation items by analyzing trends in the average acquisition rate presented in this study.

• Smart Structures and Systems
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• v.33 no.3
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• pp.227-241
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• 2024

Safety and structural integrity of civil structures, like bridges and buildings, can be substantially enhanced by employing appropriate structural health monitoring (SHM) techniques for timely diagnosis of incipient damages. The information gathered from health monitoring of important infrastructure helps in making informed decisions on their maintenance. This ensures smooth, uninterrupted operation of the civil infrastructure and also cuts down the overall maintenance cost. With an early warning system, SHM can protect human life during major structural failures. A real-time online damage localization technique is proposed using only the vibration measurements in this paper. The concept of the 'Degree of Scatter' (DoS) of the vibration measurements is used to generate a spatial profile, and fractal dimension theory is used for damage detection and localization in the proposed two-phase algorithm. Further, it ensures robustness against environmental and operational variability (EoV). The proposed method works only with output-only responses and does not require correlated finite element models. Investigations are carried out to test the presented algorithm, using the synthetic data generated from a simply supported beam, a 25-storey shear building model, and also experimental data obtained from the lab-level experiments on a steel I-beam and a ten-storey framed structure. The investigations suggest that the proposed damage localization algorithm is capable of isolating the influence of the confounding factors associated with EoV while detecting and localizing damage even with noisy measurements.

• The Journal of the Acoustical Society of Korea
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• v.38 no.4
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• pp.396-405
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• 2019

The speech privacy of closed office rooms located in a university campus was measured and assessed in terms of SPC (Speech Privacy Class) values. The measurements of two quantities, the LD (Level Difference) between a source and a receiving room, and the background noise level ($L_b$) at the receiving room were carried out in 5 rooms located in 3 different buildings in the university campus. Each of the 5 rooms was adjacent to both offices and corridors through walls. The TL (Transmission Loss) between the source and the receiver room was also measured to compare the difference of two standard methods, ASTM E2836-10 and KS F 2809. The present results show that the speech privacy of the 5 office rooms is not met the requirement for a minimum SPC values of 70. A minimum LD value of 41 dB between the source and the receiver room should be achieved for having a SPC value of 70 when the mean measured value of $L_b$ at the receiving room is 29.2 dB. That is, the TL(avg) value averaged over the octave bands from 160 Hz to 5000 Hz between the source and the receiver room should be or greater than 40 dB. The most important architectural factor influencing the LD value is the presence of openings, such as doors, and windows, on the adjacent walls between the source and receiving room. Therefore, if the opening of the adjacent wall is replaced by an opening with high sound insulation, the appropriate SPC value of the research and office rooms can be achieved.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.31 no.3
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• pp.45-53
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• 2013

The purpose of this thesis is to identify the gardening method of Mus${\bar{o}}$ Soseki by looking into his works. Through this research, life and religious values of Soseki were studied, which gave a better understanding of the garden architect as an individual and seeker of religious truth. Among his works, the most widely known-four ponds, Eiho-ji, Erin-ji, Saiho-ji and Tenryu-ji were studied. The research found that based on the Zen of Buddhism, Soseki symbolized various philosophical ideas into space structures. In addition, through two gardening components, stone buildings and tributaries, he specifically materialized related themes. An absolute religious aesthetics of the creator could be found in the stone buildings that expresses the world of Buddhism and the Chinese letter 'Sim'(heart)-shaped tributaries. By experimenting new method away from a Chinese-style Japanese garden which was widely popular during his time, Soseki devised a garden as residential quarters of a high priest that can be set aside entirely for Zen-study, which became to represent Japanese garden style. If Soseki's gardening method had not been adopted, Japanese gardens could not have been developed as a personal garden that contains symbolic concepts. Unfortunately, in this study, to think of another Zen monk and Mus${\bar{o}}$ Soseki did not study is to compare. also the study on how another Zen monk and Mus${\bar{o}}$ Soseki's compare has to be continued.

• Journal of the Korean Data and Information Science Society
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• v.20 no.6
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• pp.983-990
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• 2009

Campus dormitories function as residence halls, which are quarters or entire buildings for residents to conveniently sleep, eat, and study in. And these functions lead us to refer to dormitories as quarters providing residence, food, and an academic atmosphere. Yet, of these functions, the restaurant service acts on dormitory applicants' and their parents' choice of dormitories as strongly as the others do. It is not optional for the residents but compulsory. All residents are required to eat at the restaurants attached to their dormitories. Therefore, when most of the dormitory applicants and their parents look for their favorite dormitories, they won't miss looking into how good the restaurant service is. Considering this tendency, this research, which takes samples of residents as subjects of investigation, aims to survey the service quality of the dormitory restaurants and to find how to enhance the service quality. The result, which is measured and analyzed on the basis of statistical methods, indicates that the responsiveness and empathy to the restaurant service are statistically the significant factors for dormitory applicants and their parents in choosing their favorite dormitories.

• Journal of Advanced Navigation Technology
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• v.21 no.1
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• pp.107-112
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• 2017

In recent years, electric shock accidents due to electric leakage currents of household appliances such as computers, TVs, refrigerators, and LED lights are continuously occurring in homes and industrial buildings. And it is not easy to check the leakage current of each household appliances connected in parallel at the rear end of the module. In addition, the leakage current flowing through the path of the normal current other than the existing current leakage circuit breakers are installed in the distribution box, only the function to cut off the power when the leakage. Therefore, there are various disasters such as electric shock and fire caused by short circuit of household appliances, and the risk of such leakage current is seriously presented. In this paper, we propose a method to implement a leakage monitoring system that can be monitored at all times using Zigbee communication based on IEEE 80215.4, which has advantages in low power and low cost among short range wireless communication systems.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.3
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• pp.51-58
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• 2010

Since Augmented Reality (AR) enables users to experience computer-generated content embedded in real environments, AR agents can be visualized among physical objects in the environments where the users exist, and directly interact with them in real-time. We model perceptual attention for autonomous agents in AR environments where virtual and physical objects coexist. Since such AR agents must adaptively perceive and attend to surrounded objects relevant to their goals, our model allows the agents to determine currently visible objects from the description of what virtual and physical objects are configured in the camera's viewing area. A degree of attention is assigned to each perceived object based on its relevance to achieve agents' goals. The agents can focus on a reduced set of perceived objects with respect to the estimated degree of attention. To demonstrate the effectiveness of our approach, we implemented an animated character that was overlaid over a miniature version of campus and that attended to buildings relevant to their goals. Experiments showed that our model could reduce the character's perceptual loads even when surroundings change.