• Journal of the Korean Society for Library and Information Science
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• v.56 no.1
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• pp.321-345
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• 2022

Public libraries have been facing new challenges as the number of channels providing information resources has been increasing due to information and communication technology development. The perception of public libraries of the general public is that they should continue to play a substantial role in information services. However, the libraries' environments are changing, and the public's needs are diversifying, so public libraries also need to differentiate themselves from other organizations that provide similar services. This paper proposes branding as a solution to create differentiation. The study conducted a questionnaire survey with Koreans in their 20s. A series of statistical tests with the survey data showed the impact of the brand association elements on customer satisfaction and brand loyalty and identified unique factors in public libraries. For example, Brand associations such as material-based services, benefits, and attitude affected both dependent variables. On the other hand, the non-product association such as space/place images did not. Based on these findings, we provided implications for introducing branding in public libraries.

• Journal of The Korea Institute of Healthcare Architecture
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• v.28 no.1
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• pp.41-51
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• 2022

Purpose: The purpose of this study is to compare variant analysis results regarding overcrowded spaces and suggest a space analysis model for women's hospitals at the outpatient clinic department, central treatment department, and inpatient ward considering evacuation capability of newborns unable to perform automotive evacuation, pregnant patients and maternal patients with limited mobility. Methods: Firstly, precedent studies on women's hospitals and evacuation in hospitals were reviewed. Secondly, the analysis conditions and necessary set values for simulation were designed after analyzing the design documents of the research target hospital. Thirdly, evacuation simulation was conducted by adjusting the variables related to the evacuation behavior of inpatients and newborns. Fourthly, based on the derived results, overcrowded spaces were compared and analyzed according to evacuation behavior. Result: The study results are as follows: (1) It is necessary to check the main escape routes for occupants and to expand and adjust the size of mainly used entrances. (2) It is necessary to widen the stairs' width to alleviate overcrowding caused by patients with non-autonomous walking. (3) Due to overcrowding of the main escape route, it is necessary to identify the bypass route and adjust the width of the corridor. (4) It is necessary to plan an evacuation route for newborns to escape from the main escape route for occupants. Implications: The study result is expected to be used as primary data for research that considers the evacuation behavior of newborns and pregnant women in women's hospitals.

• Journal of the Korean Society for information Management
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• v.39 no.3
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• pp.217-240
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• 2022

As non-face-to-face elements became important due to COVID-19, the metaverse received social attention, and the MZ generation became the main users of public libraries. In light of this trend, it is necessary to introduce services for the MZ generation, the main users of public libraries, and to provide services tailored to social development. Therefore, this study investigated the perception of the metaverse through questionnaire surveys and semi-structured interviews, centered on the MZ generation, and then proposed a method for applying the metaverse to users in public libraries. According to the results of the study, the direction for the introduction of the metaverse in public libraries was suggested. First, it is necessary to provide basic education and information about the metaverse. Second, it is necessary to provide services that take advantage of the community based on communication. Third, a program that is not constrained by time and space should be provided. Fourth, services by librarians should be provided by enhancing the librarians' expertise on the metaverse. Fifth, services for generation M must be provided.

• Journal of Broadcast Engineering
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• v.27 no.4
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• pp.487-498
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• 2022

Depth map is an image that contains distance information in 3D space on a 2D plane and is used in various 3D vision tasks. Many existing depth estimation studies mainly use narrow FoV images, in which a significant portion of the entire scene is lost. In this paper, we propose a technique for generating 360° omnidirectional RGBD images from a sparse set of narrow FoV images. The proposed generative adversarial network based image generation model estimates the relative FoV for the entire panoramic image from a small number of non-overlapping images and produces a 360° RGB and depth image simultaneously. In addition, it shows improved performance by configuring a network reflecting the spherical characteristics of the 360° image.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1278-1282
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• 2009

In apartment type of housing, if resident's vehicle is registered in central control office and RFID TAG is issued, identification can be recognized from the time of entrance into parking lot and intelligent parking guide system can be activated based on the residents' profile. Parking Guide System leads a vehicle to the available parking space which is closest to the entrance gate of the vehicle's owner. And when residents forget where they parked their cars, they can query to the Parking Guide and Management System and get responses about the location. For the correct operation of this system, it is necessary to find out where the residents' cars have parked in real time and which lot is available for parking of other cars. RFID is very fancy solution for this system. RFID reader gathers the ID information in RFID TAGs in parked cars and updates the DB up to date. But, when non-residents' cars are parked inside apartment, RFID reader cannot identify them nor know the exact empty/occupied status of parking spaces because they don't react to RFID reader's query. So for the exact detection of empty/occupied status, we suggest the combined use of ultrasonic sensors and RFID. We designed a tree topology with intermediate data aggregators. The depth of tree is normally more than 3 from root (central office) to leaves (individual parking lots). The depth of 2 in tree topology brings about the bottleneck in communication and maintenance. We also designed the information fields used in RFID networks and Sensor Networks.

• Journal of Advanced Navigation Technology
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• v.27 no.4
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• pp.323-329
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• 2023

This study aims to examine the factors influencing successful flight training performance in helicopter pilot education. To this end, an exploratory factor analysis was used to extract individual cognitive and non-cognitive characteristics, and a hierarchical regression analysis was conducted to find out how these characteristics (factors) affect flight training performance. As a result, it was found that the higher the spatial perception ability, resilience, and mastery goal-oriented learning attitude, the higher the flight training performance had a positive effect. This reconfirms the importance of spatial awareness, which is particularly required for pilots, and reconfirms that the role of a flight instructor in a limited cockpit space and the right motivation and effort of an individual affect flight training performance. These results are expected to be useful indicators for effective flight training of helicopter pilots in the future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.1
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• pp.216-238
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• 2023

In intelligent transportation systems, traffic management is an important task. The accurate forecasting of traffic characteristics like flow, congestion, and density is still active research because of the non-linear nature and uncertainty of the spatiotemporal data. Inclement weather, such as rain and snow, and other special events such as holidays, accidents, and road closures have a significant impact on driving and the average speed of vehicles on the road, which lowers traffic capacity and causes congestion in a widespread manner. This work designs a model for multivariate short-term traffic congestion prediction using SLSTM_AE-BiLSTM. The proposed design consists of a Bidirectional Long Short Term Memory(BiLSTM) network to predict traffic flow value and a Convolutional Neural network (CNN) model for detecting the congestion status. This model uses spatial static temporal dynamic data. The stacked Long Short Term Memory Autoencoder (SLSTM AE) is used to encode the weather features into a reduced and more informative feature space. BiLSTM model is used to capture the features from the past and present traffic data simultaneously and also to identify the long-term dependencies. It uses the traffic data and encoded weather data to perform the traffic flow prediction. The CNN model is used to predict the recurring congestion status based on the predicted traffic flow value at a particular urban traffic network. In this work, a publicly available Caltrans PEMS dataset with traffic parameters is used. The proposed model generates the congestion prediction with an accuracy rate of 92.74% which is slightly better when compared with other deep learning models for congestion prediction.

• Nuclear Engineering and Technology
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• v.19 no.3
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• pp.192-197
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• 1987

Two-point kinetic equations for a compact-core-with-bulky-D$_2$O-reflector system were developed. A unique feature of the system is that certain fission gammas create retarded photoneutrons in the D$_2$O reflector by (ｒ, n) reaction. Coupling effect between the core and the reflector was investigated by simulating power transients with various ramp reactivity insertions. Special attention was paid to the phenomenon associated with spatial separation of photoneutrons and their precursors. Simulations show that accuracy of the two-point model is comparable with that of space-dependent approach. Also it is found that the explicily expressed photoneutron terms in the reflector equation slow down the power transient compared to non-photoneutron expressions. Detectors for reactor power control purpose prefer to be deployed in the core zone to be able to accurately perdict transient power.

• Geomechanics and Engineering
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• v.34 no.5
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• pp.491-505
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• 2023

The practical usage of underground space and demand for vehicular tunnels necessitate the construction of non-circular wide rectangular tunnels. However, constructing large tunnels in soft clayey soil conditions with no ground improvement can lead to excessive ground deformations and collapse. In recent years, in situ ground improvement techniques such as jet grouting and deep cement mixing are often utilized to perform cement-stabilisation around the tunnel boundary to prevent large deformations and failure. This paper discusses the stability characteristics and failure behaviour of a wide rectangular tunnel in cement-treated soft clays. First, the plane strain finite element model is developed and validated with the results of centrifuge model tests available in the past literature. The critical tunnel support pressures computed from the numerical study are found to be in good agreement with those of centrifuge model tests. The influence of varying strength and thickness of improved soil surround, and cover depth are studied on the stability and failure modes of a rectangular tunnel. It is observed that the failure behaviour of the tunnel in improved soil surround depends on the ratio of the strength of improved soil surround to the strength of surrounding soil, i.e., q_ui/q_us, rather than just q_ui. For low q_ui/q_us ratios,the stability increases with the cover; however, for the high strength improved soil surrounds with q_ui >> q_us, the stability decreases with the cover. The failure chart, modified stability equation, and stability chart are also proposed as preliminary design guidelines for constructing rectangular tunnels in the improved soil surrounded by soft clays.

• The Bulletin of The Korean Astronomical Society
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• v.45 no.1
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• pp.43.1-43.1
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• 2020

Cassiopeia A (Cas A) is a young supernova remnant (SNR) where we observe the interaction of SNR blast wave with circumstellar medium. From the early optical studies, dense, slowly-moving, N-rich "quasi-stationary flocculi" (QSF) have been known. These are probably dense CNO-processed circumstellar knots that have been engulfed by the SNR blast wave. We have carried out near-infrared, high-resolution (R=45,000) spectroscopic observations of ~40 QSF, and here we present the result on a QSF knot (hereafter 'Knot 24') near the SNR boundary of Cas A. The average [Fe II] 1.644 um spectrum of Knot 24 has a remarkable shape with a narrow (~8 km/s) line superposed on the broad (~200 km/s) line emitted from shocked gas. The spatial morphology and the line parameters indicate that Knot 24 has been partially destroyed by a shock wave and that the narrow line is emitted from the unshocked material heated/ionized by the shock radiation. This is the first detection of the emission from the pristine circumstellar material of the Cas A supernova progenitor. We also detected H Br gamma and other [Fe II] lines corresponding to the narrow [Fe II] 1.644 um line. For the main clump where we can clearly identify the shock emission associated with the unshocked material, we analyze the observed line ratios using a shock model that includes radiative precursor. The analysis indicates that the majority of Fe in the unshocked material is in the gas phase, not depleted onto dust grains as in the general interstellar medium. We discuss the non-depletion of Fe in QSF and its implications on the immediate progenitor of the Cas A supernova.