• Journal of The Korean Digital Architecture Interior Association
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• v.11 no.2
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• pp.71-81
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• 2011

This research explores about the construction process and provision of Japanese Wooden Houses. Even though Prefabricated Houses appeared during the 1960's and the Platform Construction System during the 1970's, there was still a high demand for Conventional Wooden House, with a high demand by households on their 30's. These features were found in the areas of Hokkaido, Kyushu, Tokyo, and Osaka. Tokyo and capital region accommodate large number of the head offices of companies that produce Platform Construction System houses, and thus supply the largest amount of Platform Construction System houses. In capital region, land prices are so high, that they build houses as 3-Floors or above, and also driven by high cost of house construction, house performances are excellent. The houses of Osaka and Kinki region demonstrate similar characteristics to those of capital region. Osaka is headquartered by a group of head offices of companies that produce prefabricated houses, and thus holds more amount of prefabricated house supply than other regions. This city also shows high cost of house construction no less than capital region, and thus offers outstanding performance of house. In Kyushu, whereas Japanese wooden house building systems are supplied the most, Platform Construction System houses are provided the least in the nation. As this region offers rich amount of forest resources owing to mild humid climate which is ideal for vegetations, the Japanese wooden building systems use the timbers from this region. Hokkaido, a cold region, requires houses that offer outstanding performance of heat insulation. Therefore, Hokkaido shows more supplies of Platform Construction System houses that offers outstanding heat insulation performance. They import the timbers that form the structure framework of Platform Construction System houses from North America.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.12
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• pp.152-158
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• 2016

In this paper, we implemented the full stack platform design with MongoDB database of open source platform Raspberry PI 3 model. We experimented the triggering of event driven with acceleration sensor data logging with wireless communication. we captured the image of USB Camera(MS LifeCam cinema) with 28 frames per second under the Linux version of Raspbian Jessie and extended the functionality of wireless communication function with Bluetooth technology for the purpose of making Android Mobile devices interface. And therefore we implemented the functions of the full stack platform for recognizing the event triggering characteristics of detecting the acceleration sensor action and gathering the temperature and humidity sensor data under IoT environment. Especially we used MEAN Stack for developing the performance of full stack platform because the MEAN Stack is more akin to working with MongoDB than what we know of as a database. Afterwards, we would enhance the performance of full stack platform for IoT clouding functionalities and more feasible web design with MongoDB.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.1C
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• pp.27-35
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• 2012

The relieving platform has the advantage of decreasing the total lateral earth pressure on the retaining wall and increasing the overall stability of the structure. Several modeling tests were performed to determine the earth pressure distribution on the retaining wall with a relieving platform and to compare it with that of the cantilever retaining wall. Different types of soil and angle of cutting surface were used to determine the effect of the soil characteristics and the backfill conditions on these earth pressure distributions. From the modeling tests, comparisons between the retaining wall with a relieving platform and the cantilever retaining wall show that the reduction of the lateral earth pressure and deformation of wall was indicated clearly on the retaining wall with a relieving platform. And the overall stability was increased by the relieving platform.

• Earthquakes and Structures
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• v.18 no.4
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• pp.407-421
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• 2020

In-place analysis for offshore platforms is essentially required to make proper design for new structures and true assessment for existing structures, in addition to the structural integrity of platforms components under the maximum and minimum operating loads when subjected to the environmental conditions. In-place analysis have been executed to check that the structural member with all appurtenance's robustness have the capability to support the applied loads in either storm or operating conditions. A nonlinear finite element analysis is adopted for the platform structure above the seabed and pile-soil interaction to estimate the in-place behavior of a typical fixed offshore platform. The SACS software is utilized to calculate the dynamic characteristics of the platform model and the response of platform joints then the stresses at selected members, as well as their nodal displacements. The directions of environmental loads and water depth variations have significant effects in the results of the in-place analysis behavior. The most of bending moment responses of the piles are in the first fourth of pile penetration depth from pile head level. The axial deformations of piles in all load combinations cases of all piles are inversely proportional with penetration depth. The largest values of axial soil reaction are shown at the pile tips levels (the maximum penetration level). The most of lateral soil reactions resultant are in the first third of pile penetration depth from pile head level and approximately vanished after that penetration. The influence of the soil-structure interaction on the response of the jacket foundation predicts that the flexible foundation model is necessary to estimate the force responses demands of the offshore platform with a piled jacket-support structure well.

• Journal of the Korea Institute of Military Science and Technology
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• v.23 no.3
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• pp.277-285
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• 2020

Survivability in a battle field is the most important aspect to the warriors. To analyze the survival effectiveness of warrior platform, the simulation via war-game model is an essential step in advance to the development of platform. In this study, Army Weapon effectiveness Analysis Model(AWAM) was utilized for analysis. Several weapon parameters were adjusted to apply the characteristics of warrior platform in some cases of the defense and survival system. Especially, adjusted triage possibility, probability of kill, fatality and accuracy were employed as parameters in the simulation program to evaluate the survival effectiveness of intelligent system based on the previous researches. In the future battle field or virtual space in the AWAM, the warrior platform intelligent system could react emergency treatment on time by expoiting the bio-information of man at arms. Considering the order of supply priority, special force was selected as operating troops and battle scenario without engagement was selected to measure accurate survival effectiveness. In conclusion, the survivability of defence and survival system of the warrior platform was about 1.47 times higher than that of current system.

• Informatization Policy
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• v.30 no.1
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• pp.3-22
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• 2023

This review article summarizes the issues around platform business with government regulation. We illustrated types and characteristics of platform business. We examined the current policy tools and government activities for regulating platform business in a digital economy. Policy tools of government regulation for platform business are not suitable or fit at times. We suggest an approach to look at the fit of platform business types and regulation policy tools. We also offer a policy recommendation to define situations whether to focus on minimizing conflicts among stakeholder or invite them to participate in anticipatory decision making process for new technology market.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.34 no.2
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• pp.275-294
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• 2023

This study aims to analyze usability of public libraries' metaverse platform. This study also examines factors that affect usability and immersion of metaverse platform of Gangbuk culture information library, Hanbat library in Daejeon, and Mapo Central library. In order to conduct this study, 60 college students participated in online survey and experiment. There was a statistically significant positive relationship between learnability and usability, and between GUI and immersion in every library. Learnability and usability of Gangbuk culture information library were statistically significantly higher than other libraries. On the other hand, GUI score and immersion of Hanbat library was significantly higher than other libraries. However, given that there were few users connected to metaverse platform, there was no significant difference in interactivity among libraries. This study examines characteristics (including strengths and weaknesses) of metaverse platform of each library. It is expected that the results of this study could contribute to the improvement of usability of public library's metaverse platform.

• Knowledge Management Research
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• v.24 no.1
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• pp.31-49
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• 2023

TikTok, as a leading short video platform, has attracted many users, and the resulting attention generates immense business value as a platform to diffuse knowledge. As a qualitative and explorative approach, this study reviews the knowledge payment industry and discusses the influential factors of users' payment decisions regarding knowledge products on TikTok. By conducting in-depth interviews with ten participants and observing 95 knowledge providers' videos, we find that TikTok has significant business potential in the knowledge payment industry. By using the ATLAS. ti software to code the data collected from these interviews, this study finds that demander characteristics (personal needs), product characteristics (product quality), provider characteristics (the key opinion leader effect), and platform characteristics (platform management) are the four core categories that influence users' payment decisions regarding knowledge products on TikTok. A theoretical model consisting of the ten variables of emotional needs, professional needs, quality, price, helpfulness, value, charisma, user trust, service guarantee, and scarcity is proposed based on the grounded theory. The theoretical and practical implications of the study findings are also discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.8
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• pp.3345-3351
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• 2012

In this study, simulation of an underwater platform system which is able to perform the underwater test is implemented to predict its dynamic characteristics. Accordingly, its governing equations are derived to construct the mathematical model. From the proposed model, the time in flooding and the pressure of ballast tank in blowing air to come up are predicted. In addition, simulation of the stability of the system for repulsive force of the tube by compressed air is carried out. Their results will be used to select valves, air tanks as well as design the system including ballast tanks. And they will help users operate it efficiently.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.4
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• pp.79-87
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• 2014

In this paper, we implemented the HearCAM platform with Raspberry PI B+ model which is an open source platform. Raspberry PI B+ model consists of dual step-down (buck) power supply with polarity protection circuit and hot-swap protection, Broadcom SoC BCM2835 running at 700MHz, 512MB RAM solered on top of the Broadcom chip, and PI camera serial connector. In this paper, we used the Google speech recognition engine for recognizing the voice characteristics, and implemented the pattern matching with OpenCV software, and extended the functionality of speech ability with SVOX TTS(Text-to-speech) as the matching result talking to the microphone of users. And therefore we implemented the functions of the HearCAM for identifying the voice and pattern characteristics of target image scanning with PI camera with gathering the temperature sensor data under IoT environment. we implemented the speech recognition, pattern matching, and temperature sensor data logging with Wi-Fi wireless communication. And then we directly designed and made the shape of HearCAM with 3D printing technology.