• Journal of the Korea Computer Graphics Society
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• v.25 no.4
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• pp.17-24
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• 2019

In the game industry, traditional game development way was to develop a game engine in advance before developing game content. This has the disadvantage is the high cost of developing the game engine. Further, there is a problem that the game content are not developed unless the game engine is prepared in advance. In order to solve these problems, the game industry has recently selected a method of purchasing a license for a commercial engine, which is a method for improving the game content development productivity, rather than concentrating on game engine development. In this paper, we describe a game object and the structure in Unity and Unreal Engine 4. We compared the editor interface and the supported development languages in the two game engines. We also implemented a First-Person Shooter game to compare how the player's configuration and event handling differ from the two game engines.

• The Journal of the Convergence on Culture Technology
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• v.5 no.3
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• pp.351-357
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• 2019

This research is automatic Wet Pipe Sprinkler System, dry pipe Sprinkler System, preaction Sprinkler system, vacuum Sprinkler system, deluge Sprinkler system, etc., key components of each Sprinkler system, verve valve, valve, etc. This is to simplify the various processes of the manufacturing process into a single process to create an environment in which a single machine can simultaneously produce a standardized product, thereby improving the price competitiveness of the product, reducing the cost of maintaining the product, and making it more adaptable to the new sprinkler system that is developed in the future. Automatic Wet Pipe Sprinkler System, desipe Sprinkler System, preaction sprinkler system, vacuum Sprinkler system, deluge Sprinkler system, both types of existing Sprinkler system, only replace the primary and secondary tubing valves.It has the advantage of being easy to apply to the lower system. Legal and institutional research is needed for the commercialization of the Sprinkler system applying the solenoid valve as a future project.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.4
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• pp.523-530
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• 2019

Pavement distress and traffic accidents are caused by pot-hole. In addition, direct and indirect damages of road users are increasing, such as loss of life due to personal injury and damage to vehicles. Generally, the asphalt concrete pavements are continuously aging from the production process to the terminal performance period. Aging causes stripping due to cracks and moisture penetration and weakening the pavement structure to induce pot-hole. In this study, adhesion performance and moisture sensitivity were evaluated according to aging degree in order to investigate the effect of aging on asphalt pavement. As a result of the study, the viscosity of the asphalt binder was increased with aging and the bond strength of the aged was increased 2~3 times than that of the unaged. The results of accelerated aging test showed an increases in indirect tensile strength and the increase in the TSR (Tensile Strength Ratio) by 4.2~8.9 %. As a result, it is noted that the anti-stripping and adhesion performances of the aged asphalt concrete are improved compared to the unaged one under the aging conditions of asphalt binder coated on aggregates.

• Journal of the Microelectronics and Packaging Society
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• v.25 no.4
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• pp.35-40
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• 2018

Simple and useful synthetic process to control the morphology of block copolymers (BCPs) is required for implementation in various device applications. However, the conventional method to use colloidal templates is not enough to realize the production of pure and massive core-shell nanoparticles due to the cost-intensive complex process. Here, we introduce a novel and facile synthesis method to realize the formation of core-shell $SiO_x$ nanoparticle power by employing an immersion annealing of a sphere-forming poly(styrene-b-dimethylsiloxane) (PS-b-PDMS) BCP. We successfully obtained a PS-encapsulated $SiO_x$ nanoparticle with a diameter of ~20 nm. In addition, we analyzed how the mixing ratio of heptane/ethanol affects the BCP morphology of self-assembled PS-b-PDMS nanoparticles, showing a worm-like structure under the optimum immersion conditions. This useful approach is expected to be extendable to other solvent-based BCP synthesis, providing a new guideline for unique BCP production.

• Geophysics and Geophysical Exploration
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• v.22 no.1
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• pp.29-36
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• 2019

Regional airborne magnetic survey is very cost-effective mapping tool. Magnetic anomaly maps have abundant information, which are an important tool for understanding the geological evolution and mineral exploration. For this reason, the governments of many countries have made significant investment in the acquisition of airborne geophysical data over many decades. KIGAM (Korea Institute of Geoscience and Mineral Resources) began nationwide airborne magnetic mapping programme in 1982, and completed in 2017. The obtained magnetic data was reprocessed and magnetic database was built in 2018. In addition, the magnetic anomaly map of Korea with a scale of 1:1,000,000 was published. In this paper, we introduced a new magnetic anomaly map of Korea through describing the changing survey parameters during data acquisitions and history of data processing.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.361-366
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• 2019

The amount of data created in the present intelligence information society is beyond imagination. Big data has a great diversity from every information via SNS and internet to the one created by government and enterprises. This various data is close at hand having infinite value as same as crude oil. Big data analysis and utilization by data mining over every areas in the modern industrial society is getting more important for finding useful correlation and strengthening forecasting power against the future uncertainty. Efficient management and utilization of big data produced by complex modern society will be researched in this paper. Also it addresses strategies and methods for securing overall industrial competitiveness, synergy creation among industries, cost reduction and effective application based on big data in the $4^{th}$ industrial revolution era.

• Convergence Security Journal
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• v.21 no.3
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• pp.25-30
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• 2021

Due to the current COVID-19 pandemic, companies and institutions are introducing virtual desktop technology, one of the logical network separation technologies, to establish a safe working environment in a situation where remote work is provided. With the introduction of virtual desktop technology, companies and institutions can operate the network separation environment more safely and effectively, and can access the business network quickly and safely to increase work efficiency and productivity. However, when introducing virtual desktop technology, there is a cost problem of high-spec server, storage, and license, and it is necessary to supplement in terms of operation and management. As a countermeasure to this, companies and institutions are shifting to cloud computing-based technology, virtual desktop service (DaaS, Desktop as a Service). However, in the virtual desktop service, which is a cloud computing-based technology, the shared responsibility model is responsible for user access control and data security. In this paper, based on the shared responsibility model in the virtual desktop service environment, we propose a cloud-based hardware security module (Cloud HSM) and edge-DRM proxy as an improvement method for user access control and data security.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.4
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• pp.653-660
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• 2021

Renewable energy resources are rapidly becoming an integral part of electricity generation portfolios around the world due to declining costs, government subsidies, and corporate sustainability goal. Interacting wind, solar, and load forecast errors can create significant unpredictable impacts on the distribution system, feeder congestion, voltage standard and reactive power stability margins. These impacts will be increasing with the increasing penetration levels of variable renewable generation in the power systems. There is a limit to the maximum amount of renewable energy sources that can be connected in a distribution feeder by the connection rule of transmission & distribution facility in Korea. This study represents the decision plans of hosting capacity for distribution feeders without the need for significant upgrades to the existing transmission infrastructure. Especially, the paper suggests and discusses the hosting capacity standard of feeder cables and minimum load calculation of distribution feeders.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.225-225
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• 2017

농촌지역 관수공급의 대부분은 지하수, 하천, 저수지 등 주변의 다중수원을 활용하고 있지만, 지속적인 가뭄 발생시 농업용수의 부족현상을 일으키며, 농작물의 생산량과 품질에 많은 영향을 주는 원인이 된다. 밭작물의 경우, 재배작물별로 적절한 재배환경조성은 작물의 생산성에 매우 큰 영향을 주므로 생육에 필요한 알맞은 토양수분을 유지를 위해 적절한 관수공급이 중요하다. 이러한 농촌지역의 물부족 현상을 대비하여 효율적인 관수공급으로 인한 물관리와 대체 수자원의 확보 및 활용방안이 요구되며, 대체 수자원을 저류하여 관수공급을 효과적으로 사용하는 방법들이 다각적으로 검토되고 있다. 특히, 빗물을 집수하여 재사용 하여 작물을 재배하는 방법이 친환경적일 뿐만 아니라, 수자원을 재활용하기 때문에 비용적인 측면에서 가장 효율적이므로 이러한 빗물을 저류조에 집수하여 효과적으로 재사용 하여 관수공급하는 방법에 대한 필요성이 대두되고 있는 실정이다. 이에, 본 연구에서는 농촌지역에서 작물재배를 하기 위해 관수공급시 관정의 수량이 충분한 평상시는 관정펌프로부터 물을 길러 관수를 하도록 하였고, 관정의 수량이 부족한 비상시(가뭄)와 강우 예측시에는 저류조로부터 관수를 하도록 가뭄시나리오와 강우시나리오를 구축하였다. 효율적인 관수공급 운영을 위해 기상청의 7일 기상예보 자료를 획득하고 강우분석을 통해 저류량 예측을 하고 작물별 일관수공급량을 계산하여 물부족이 일어나지 않도록 최적의 운영방법론을 구축하였다. 이를 통해, 다중수원으로부터 확보된 수원을 저류조에 저장하여 가뭄과 같은 비상 상황에서 농업용수로 사용이 가능하도록 함으로써 비상 상황에서 농작물의 피해를 최소화할 수 있을 것으로 판단된다.

• The Korean Journal of Archival Studies
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• no.67
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• pp.99-138
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• 2021

In the era of big data, analyzing not only structured data but also unstructured data is emerging as an important task. Official documents produced by government agencies are also subject to big data analysis as large text-based unstructured data. From the perspective of internal work efficiency, knowledge management, records management, etc, it is necessary to analyze big data of public documents to derive useful implications. However, since many of the public documents currently held by public institutions are not in open format, a pre-processing process of extracting text from a bitstream is required for big data analysis. In addition, since contextual metadata is not sufficiently stored in the document file, separate efforts to secure metadata are required for high-quality analysis. In conclusion, the current official documents have a low level of machine readability, so big data analysis becomes expensive.