• Journal of the Architectural Institute of Korea Planning & Design
• /
• v.36 no.2
• /
• pp.3-11
• /
• 2020

The police substation includes work spaces for civil services, interviews, and meetings, etc, and private spaces for rest, showers and cafeterias and so on. Since a large number of rooms for each function should be installed in a relatively small building, it is important to develop an area standard for efficient space organization in consideration of the functional characteristics and usage patterns of each space. The purpose of this study is to suggest the way for improving the area standards for spaces in police substation based on the results of existing standards analysis and case study. For this objective, architectural documents of 161 police substations built after 2013 in Korea were comparatively analyzed. Sixteen of these facilities were selected for field survey and investigated how the workspace and private area were organized and used. The results of investigation showed that there were a number of problematic cases, such as spaces not installed or insufficient, spaces used for two or more functions, spaces installed even though they are not included in the standards. It was mainly due to the fact that several important spaces which had been installed in most police substations were not included in the existing standards. The ways for improvement were suggested like following four points: (1) Modifying the criteria for classifying facility size, (2) Modifying the lists of the required spaces, (3) Specifying the basis of calculation for each space in detail, and (4) Differentiating the way to organize spaces according to the facility size.

• Journal of the Architectural Institute of Korea Structure & Construction
• /
• v.36 no.4
• /
• pp.143-152
• /
• 2020

This study analyzes in detail greenhouse gas emissions in building sector. To this end, this study used data on building characteristics (including building type, region, and construction year) and monthly energy consumptions (including electricity, city gas, and district heat) for all buildings from 2015 to 2018. These data were collected from the National Building Energy Database and the energy consumptions were converted into greenhouse gas (GHG) emissions. The total amount of GHG emissions from the building sector has increased steadily from 2015 (118.1MtCO2eq.) to 2018 (132.6MtCO2eq.). On the other hand, the more recently constructed buildings had lower GHG intensities. This result shows that strengthening building design criteria was effective on the reduction of GHG emissions in buildings, and that the increased buildings contributed to increasing GHG emissions of the building sector. In addition, sales facilities are thought to have the largest reduction potential as they had the highest amount of GHG emissions and GHG intensity. This study is expected to help establish new policies for GHG reduction in building sector as well as to evaluate the effects of existing policies.

• Journal of the Korean Society of Industry Convergence
• /
• v.23 no.6_2
• /
• pp.1015-1024
• /
• 2020

By nature, smart construction technology is a convergence technology, therefore aptly constructing and running an information system is needed in order to effectively develop and maintain it. Thus, in this study, an information system prototype was developed for the creation and linking of high precision digital maps at road construction sites for the effective performance of the development of the Information Collecting and Analyzing Techniques in the Construction Site (ICAT). For this, (1) defined input/output (I/O) data of each technical detail of ICAT, (2) analyzed the data flow, (3 ) proposed an information system prototype for high precision digital maps development and connection. Based on the information system prototype constructed in this study, it was inferred that each technique and its information for the Smart Construction Technique Development Business was in a consistent flow. Developed information system prototype would enable effective cooperation between subjects directly involved in the technique development, by defining I/O data in advance. Moreover, it would be of value to practitioners for refining the output data from each technique, thereby linking databases and forming Entity Relationship Diagram.

• The Korean Journal of Franchise Management
• /
• v.11 no.3
• /
• pp.43-57
• /
• 2020

Purpose: Along with the trend increasing dining-out and enjoying variety of menu, dessert café has been introduced as a new type of food service provider and grown up rapidly. We need to verify structural relationship that dessert café environment influences overall quality and brand image and loyalty. Research design, data, and methodology: This study seeks to understand how in-café environment influence overall quality, brand image and loyalty directly and indirectly based on SOR theory. We examine detail effect of in-café environment on overall quality and brand image and subsequently loyalty. Sample data were collected from 563 online survey panels and analyzed by using SmartPLS 3.2.9. Result: The results indicates that all sub-dimensions of in-café environment influences positively overall quality. While, menu and atmosphere make positive impact on brand image. price, food and beverage quality, employee service do not affect significantly brand image. Further, overall quality influences positively brand image and both overall quality and brand image affect positively loyalty. In addition, overall quality plays full mediator role in relationship among price, food and beverage quality, employee service and brand image. Conclusions: Dessert café should differentiate itself from competitors through physical and non-physical environments which are likely to influence overall quality. As overall quality mediates between environment and brand image and influences loyalty, dessert café is required to communicate strength of functional quality and service quality aggressively. Additionally, favorable brand image affecting loyalty is required to be dominated in advance as the market is likely to be segmented along with its growth.

• Journal of Digital Convergence
• /
• v.19 no.7
• /
• pp.95-111
• /
• 2021

Despite the innovation of AI and Big Data, theoretical research bout the effect of AI and Big Data on market competition is still in early stages; therefore, this paper analyzes the effect of AI, Big Data, and data sharing on an entry firm by using game theory. In detail, the firms' business environments are divided into internal and external ones. Then, AI algorithms are divided into algorithms for (1) customer marketing, (2) cost reduction without automation, and (3) cost reduction with automation. Big Data is also divided into external and internal data. this study shows that the sharing of external data does not affect the incumbent firm's algorithms for consumer marketing while lessening the entry firm's entry barrier. Improving the incumbent firm's algorithms for cost reduction (with and without automation) and external data can be an entry barrier for the entry firm. These findings can be helpful (1) to analyze the effect of AI, Big Data, and data sharing on market structure, market competition, and firm behaviors and (2) to design policy for AI and Big Data.

• The Journal of Korean Institute of Information Technology
• /
• v.17 no.5
• /
• pp.1-12
• /
• 2019

Unlike existing Open APIs, Linked Data are made as a huge intelligent base to perform high-level SPARQL queries, and it is possible to create efficiently a new content by mashuping different information from various datasets. This paper implements a responsive web application for location-based semantic search. We mashup DBpedia, a kind of Linked Data, and GoogleMap API provided by Google, and provide a semantic browser function to confirm detail information regarding retrieved objects. Our system can be used in various access environments such as PC and mobile by applying responsive web design idea. The system implemented in this paper compares functional specifications with existing systems with similar functions. The comparison results show the superiority of our system in various aspects such as using semantic, linked-based browser, and mashup function.

• Journal of Positioning, Navigation, and Timing
• /
• v.10 no.1
• /
• pp.1-12
• /
• 2021

Due to the Global Navigation Satellite System (GNSS) modernization, the recently launched GNSS satellites transmit signals at various frequency bands of L1, L2 and L5. Considering the Korea Positioning System (KPS) signal and other GNSS augmentation signals in the future, there is a high probability of applying more complex communication techniques to the new GNSS signals. For the reason, GNSS receivers based on flexible Software Defined Radio (SDR) concept needs to be developed to evaluate various experimental communication techniques by accessing each signal processing module in detail. In this paper, we introduce a multi-constellation (GPS/Galileo/BeiDou) multi-band (L1/L2/L5) SDR by utilizing Ettus USRP N210. The signal reception module of the developed SDR includes down-conversion, analog-to-digital conversion, signal acquisition, and tracking. The down-conversion module is designed based on the super-heterodyne method fitted for MHz sampling. The signal acquisition module performs PRN code generation and FFT operation and the signal tracking module implements delay/phase/frequency locked loops only by software. In general, it is difficult to sample entire main lobe components of L5 band signals due to their higher chipping rate compared with L1 and L2 band signals. Experiment result shows that it is possible to acquire and track the under-sampled signals by the developed SDR.

• Journal of Convergence for Information Technology
• /
• v.11 no.3
• /
• pp.132-139
• /
• 2021

The response characteristics of the forced vibration generated when the high-damped vehicle pass the bumped barrier was studied, and in particular, the response behavior of displacement, velocity and acceleration was analyzed for the forced vibration model. In addition, in order to obtain responses such as displacement, velocity, and acceleration, a numerical analysis technique of the Runge-Kutta-Gill method was performed in time domain. The response was successfully obtained in detail under several high damping conditions. As a numerical analysis result, the response of the vehicle was obtained by considering the vehicle body to which the impulse impact was applied. Also, the analysis result was compared with the experimental result in order to verify the validity of vehicle model. The amplitude and natural frequency of the vehicle were considered and analyzed. The Nyquist diagram of the vehicle model was also obtained and the relationship could be analyzed. And the vibration response was analyzed on different mass, damping and stiffness.

• Journal of the Korea Society for Simulation
• /
• v.30 no.1
• /
• pp.1-9
• /
• 2021

In actual battlefield environment, the naval ships which have specific missions have to respond to the attack of hostile forces. Especially, in modern warfare, the importance of the survivability of naval ships are increasing due to the high lethality of armaments. Naval ship survivability is generally considered to encompass three constituents, susceptibility, vulnerability and recoverability. Recently, among these three constituents, many researches on vulnerability have been conducted. However, for the vulnerability of naval ships, most of researches are aimed towards the detailed design stages where implementing changes is heavily constrained or even impractical. In this paper, vulnerability assessment model for naval ships on a theater engagement is developed by using M&S technique. By using this model, the characteristics of platform and armaments are reflected on the damage of naval ship. The basic logic of damage assessment is also considered in detail. The damage status of the naval ship is quantified by defining a representative state index of onboard equipment for each system.

• Journal of Positioning, Navigation, and Timing
• /
• v.10 no.4
• /
• pp.315-333
• /
• 2021

Due to the Global Navigation Satellite System (GNSS) modernization, recently launched GNSS satellites transmit signals at various frequency bands such as L1, L2 and L5. Considering the Korean Positioning System (KPS) signal and other GNSS augmentation signals in the future, there is a high probability of applying more complex communication techniques to the new GNSS signals. For the reason, GNSS receivers based on flexible Software Defined Radio (SDR) concept needs to be developed to evaluate various experimental communication techniques by accessing each signal processing module in detail. This paper proposes a novel SDR-based A-GNSS receiver capable of processing multi-GNSS/RNSS signals at multi-frequency bands. Due to the modular structure, the proposed receiver has high flexibility and expandability. For real-time implementation, A-GNSS server software is designed to provide immediate delivery of satellite ephemeris data on demand. Due to the sampling bandwidth limitation of RF front-ends, multiple SDRs are considered to process the multi-GNSS/RNSS multi-frequency signals simultaneously. To avoid the overflow problem of sampled RF data, an efficient memory buffer management strategy was considered. To collect and process the multi-GNSS/RNSS multi-frequency signals in real-time, the proposed SDR A-GNSS receiver utilizes multiple threads implemented on a CPU and multiple NVIDIA CUDA GPGPUs for parallel processing. To evaluate the performance of the proposed SDR A-GNSS receiver, several experiments were performed with field collected data. By the experiments, it was shown that A-GNSS requirements can be satisfied sufficiently utilizing only milliseconds samples. The continuous signal tracking performance was also confirmed with the hundreds of milliseconds data for multi-GNSS/RNSS multi-frequency signals and with the ten-seconds data for multi-GNSS/RNSS single-frequency signals.