최근 게임상의 아이템을 현금화하여 게임 플레이를 통하여 본을 벌 수 있다는 개념의 P2E(Play to Earn)게임 들이 많이 생겨났다. 일부 저소득 국가에서는 일을 할 때보다 돈을 더 많이 벌게 되는 일이 벌어지면서 많 은 게임 기업들은 각자의 메인넷을 만들어서 각자의 생태계 안에서 게임을 서비스하고 있다. 초기에는 코딩 을 할 수 있어야만 NFT 발행이 가능했다. 하지만 코딩을 하지 않아도 되는 형태의 NFT 응용프로그램이 제 작되고 제작된 응용프로그램을 통하여 NFT 발행을 진행한다. 하지만 해당 응용프로그램들은 많은양의 그림 파일들을 다루기 때문에 한꺼번에 많은 발행 작업을 하면 컴퓨터 메모리 사용량이 지속적으로 늘어나는 단 점이 있다. 본 연구에서는 이러한 문제점을 해결하고자 새로운 NFT Game 프레임워크를 설계하고 구현하고 자 한다. 설계된 프레임워크는 기존의 문제점인 지속적으로 늘어나는 메모리를 정리하여 저사양 컴퓨터에서 도 원하는 만큼의 NFT를 발행 수 있게 지원하고자 한다. 또한 기능을 추가하여 자동으로 오픈마켓에 배포 할 수 있는 기능을 제공한다. 본 논문에서 제안하는 프레임워크는 3가지의 형태의 각 기능 역할을 하고있는 Market System 프레임워크, Game 프레임워크, NFT Conveter 프레임워크로 설계했다. C# 기반으로 제작하였으 며 게임엔진에 적용하기 위하여 Unity3D엔진으로 개발된 게임을 사용하였습니다. 프레임워크를 활용하여 아 이템 데이터를 NFT 토큰을 발행하여 마켓에 등록했다. 토큰의 Metadata에는 7가지의 의상 데이터 정보와 6 가지의 캐릭터 설정 정보 및 배경 화면을 등급을 나누고 분류하여 각각의 희소성을 부여했다. 본 연구의 결 과물로 Unity 기반의 게임들이 해당 프레임워크를 사용하여 다양한 형태로 NFT 발행을 확대 적용하는 것을 기대해 본다.

In this study, we focus on the feasibility of structural topology optimization for a steel-timber composite beam design of optimally allocating glue-laminated timbers into a web with openings under the condition of given steel flanges. The motivation of this study is to topologically take maximal stiffness harmonizing both tension and compression performance of the steel-timber composite beam and become the eco-frandly timber design for buidling members. As a result of this study, the key web-openings allocation becomes triangle spaces, i.e., empty or no materials, of optimal topologies of both a pure timber plate and a steel flange-web timber plate without web-openings. Several applicable examples verify the effectiveness of topology optimization for steel-timber beams with web-openings.

Recently, machine learning is widely used to solve optimization problems in various engineering fields. In this study, machine learning is applied to development of a control algorithm for a smart control device for reduction of seismic responses. For this purpose, Deep Q-network (DQN) out of reinforcement learning algorithms was employed to develop control algorithm. A single degree of freedom (SDOF) structure with a smart tuned mass damper (TMD) was used as an example structure. A smart TMD system was composed of MR (magnetorheological) damper instead of passive damper. Reward design of reinforcement learning mainly affects the control performance of the smart TMD. Various hyperparameters were investigated to optimize the control performance of DQN-based control algorithm. Usually, decrease of the time step for numerical simulation is desirable to increase the accuracy of simulation results. However, the numerical simulation results presented that decrease of the time step for reward calculation might decrease the control performance of DQN-based control algorithm. Therefore, a proper time step for reward calculation should be selected in a DQN training process.

PURPOSES : This study evaluates the long-term performance of the asphalt overlay designed by the Seoul pavement design method which determines overlay thickness by considering existing pavement conditions, traffic volume, and bearing capacity of the pavement. METHODS : A total of 76 sections including 17 control sections and 59 design sections were constructed under various traffic conditions, overlay thicknesses and asphalt mixtures. The performance of the pavements has been monitored up to 60 months in terms of surface distresses, rutting, and longitudinal roughness. The service life of the pavements was estimated to be the period when the Seoul pavement condition index (SPI) becomes 6.0, i.e., a rehabilitation level. RESULTS : Overall, the service life of the pavements was 72 months in the control and 120 months for the design sections. For relatively thinner overlay sections than designed, the service life reduced significantly; 36 months for 15cm thick overlay and 120 months for 25cm thick overlay. The service life of the pavement in the bus-only lane was 78 months, which is 30 months shorter than that in mixed-traffic lanes. Out of the bus-only lanes, 56% of the pavement along bus stop was deteriorated early to be a poor condition while only 2% of the pavement in a driving lane was degraded to be poor. The overlay with Stone Mastic Asphalt (SMA) in the wearing surface had 38% longer life than that with conventional dense graded mixtures. CONCLUSIONS : Most of the overlays sections designed by the Seoul pavement design method were expected to survive 10 years, except for bus-only lanes. The control sections having 5 to 10 cm thick overlays showed significant lower performance than the design sections. Thus proper thickness and materials considering the characteristics of existing pavement and traffic volumes should be applied to secure the service life of overlays.

Recently, an unprecedented emerging infectious disease has rapidly spread, causing a global shortage of wards. Although various temporary beds have appeared, the supply of wards specializing in infectious diseases is required. Negative pressure isolation wards should maintain their function even after an earthquake. However, the current seismic design standards do not guarantee the negative pressure isolation wards’ operational (OP) performance level. For this reason, some are not included in the design target even though they are non-structural elements that require seismic design. Also, the details of non-structural elements are usually determined during the construction phase. It is often necessary to complete the stability review and reinforcement design for non-structural elements within a short period. Against this background, enhanced performance objectives were set to guarantee the OP non-structural performance level, and a computerized tool was developed to quickly perform the seismic design of non-structural elements in the negative pressure isolation wards. This study created a spreadsheet-based computer tool that reflects the components, installation spacing, and design procedures of non-structural elements. Seismic performance review and design of the example non-structural elements were conducted using the computerized tool. The strength of some components was not sufficient, and it was reinforced. As a result, the time and effort required for strength evaluation, displacement evaluation, and reinforcement design were reduced through computerized tools.