Recently, steel dampers are widely used as seismic reinforcement devices. Steel dampers have the advantage of being easy to manufacture and being able to absorb a lot of energy through stable hysteresis behavior. However, there is a possibility that the steel damper may be damaged due to fatigue caused by repeated seismic loads. In this study, the seismic performance of steel dampers and engineering plastic dampers with different physical characteristics were compared and analyzed. In addition, numerical analysis was performed on a hybrid damper that combines a steel damper and an engineering plastic damper. It is more effective to apply engineering plastic dampers to structures that experience significant displacement due to seismic loads. The behavior of hybrid dampers combining steel dampers and engineering plastic dampers is dominated by steel dampers. A hybrid damper in which an engineering plastic damper yields after a steel damper yields can effectively respond to various seismic loads and secure high ductility and excellent seismic performance.

High-strength low-alloy steel is one of the widely used materials in onshore and offshore plant engineering. We investigated the alloying effect of solute atoms in α-Fe based alloy using ab initio calculations. Empirical equations were used to establish the effect of alloying on the Vicker’s hardness, screw energy coefficient, and edge dislocation energy coefficient of the steel. Screw and edge energy coefficients were improved by the addition of V and Cr solute atoms. In addition, the addition of trace quantities of V, Cr, and Mn enhanced abrasion resistance. Solute atoms and contents with excellent mechanical properties were selected and their thermal conductivity and thermal expansion behavior were investigated. The addition of Cr atom is expected to form alloys with low thermal conductivity and thermal expansion coefficient. This study provides a better understanding of the state-of-the-art research in low-alloy steel and can be used to guide researchers to explore and develop α-Fe based alloys with improved properties, that can be fabricated in smart and cost-effective manners.

본 논문에서는 최근 4차 산업혁명을 통해 최신 ICT 기술을 접목하여 대한민국의 항만, 해운, 조선 및 기자재 산업이 물샐틈없는 완 벽 공조를 통한 가치 사슬, Seamless Value Chain이 Smart Seamless Value Chain 성공적인 구축을 위한 산업 간의 협력관계를 정의하 고, 이들 산업의 지속 가능한 발전을 위한 핵심 요소가 무엇인지를 고찰해 보았다. 이를 통해 오늘날 디지털화를 통한 탈탄소화를 실현 하여 ESG 경영 달성을 위한 방향도 제시하였다. 그리고 특히 중소기업의 관점에서 미래시장을 대응하기 위한 방안으로서의 디지털 화의 중요성과, 특히 중소 기자재 업체가 실현하는 디지털 화가 산업계 전반에서 어떤 역할을 하는지 중점적으로 고찰하였다. 이를 통 해 산업 간의 연계 상태와 가치 사슬이 원활한 관계를 반드시 유지해야할 필요 사유를 동시에 보여준다. 그리고 대한민국의 산업에서 얻은 실패 사례를 통한 교훈으로 발판 삼아 향후 지능형 연결의 전략적 통로를 만드는 초석을 구축하는 방향성도 제시하였다.

In order to identify the CAN message sent from the ECU, the CAN waveform and operating current were measured during the operation of the CAN driver.CAN ID was identified in the same phase as the measured voltage waveform and operating current, and reverse engineering was performed .And, by measuring CAN bus wire EMI noise, it was tested whether CAN ID was identified.CAN ID verified ECU data using CAN analyzer.

The purpose of this study is an application of Lee’s Menu Engineering (LME) method for menu analysis on the eight kinds of pizza selected from 17 kinds of pizza served by an Italian restaurant near by the Keimyung College University campus. The eliminated nine items were in the third quadrant or below the trend line. The LME method is more efficient than generally used methods such as the Miller, Kasavana & Smith, Uman, Pavesic and Merricks & Jones method. The LME method comprises reference lines and four quadrants created by x, y axes and its average values. The x and y axes comprise the sales ratio (MM%, percentage of the Menu Mix) and the weighted contribution margin (WCM%, percentage of the Weighted Contribution Margin) respectively. The obtained results are such that total sales increased by 1.59% from 58,747,200 won to 59,684,000 won, despite the decrease in sales volume. Total contribution margin also increased from 35,248,320 won to 35,810,400 won. The trend line also shows from y=0.9147x (R2=0.703) to y=0.9944x (R2=0.9893). These results indicate that the LME method is superior in practical applications.