• 한국공간구조학회논문집
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• 제20권4호
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• pp.83-91
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• 2020

In this study, a tuned mass damper(TMD) was installed to control the displacement response to earthquakes by generalizing to six analysis models according to the shape of the upper structure based on the case of various large spatial structures around the world. The six analysis models are ribbed type, latticed type, elliptical type, gable type, barrel type, and stadium type composed of 3D arch trusses. In this paper, ribbed type, latticed type and elliptical type were analyzed. The mass of each TMD was set to 1% of the total structural mass. Result of analyzing the optimal number and position of the analysis model, the displacement response control was the most excellent in the model with 6 and 8 TMDs, and the displacement response decreased in most cases. The displacement response control was better with installing the TMD at the edge point than focusing the TMD at the center of the analysis model. However, when 10 or more TMDs are installed or concentrated in the center, large loads intensively act on the structure, resulting in increased displacement. Therefore, although it is slightly different depending on the shape, it is judged that the displacement response control is the best to install 6 and 8 TMDs at the close to the edge point.

• 한국공간구조학회논문집
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• 제20권4호
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• pp.73-81
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• 2020

In this study, a tuned mass damper(TMD) was installed to control the displacement response to earthquakes by generalizing to six analysis models according to the shape of the upper structure based on the case of various large spatial structures around the world. The six analysis models are ribbed type, latticed type, elliptical type, gable type, barrel type, and stadium type composed of 3D arch trusses. In this paper, ribbed type, latticed type and elliptical type were analyzed. The mass of each TMD was set to 1% of the total structural mass. Result of analyzing the optimal number and position of the analysis model, the displacement response control was the most excellent in the model with 6 and 8 TMDs, and the displacement response decreased in most cases. The displacement response control was better with installing the TMD at the edge point than focusing the TMD at the center of the analysis model. However, when 10 or more TMDs are installed or concentrated in the center, large loads intensively act on the structure, resulting in increased displacement. Therefore, although it is slightly different depending on the shape, it is judged that the displacement response control is the best to install 6 and 8 TMDs at the close to the edge point.

• Asian Journal of Innovation and Policy
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• 제9권2호
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• pp.106-132
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• 2020

This study intends to add a factor to the discussion on the sectoral systems of innovation through Korea's response to the COVID-19 pandemic. The Korean approach is summarized as follows: the first response centers on technology and innovation. These include the development of diagnostic test methods and accurate test kits, first in the world, the use of ICT technology in epidemiological investigations, the technical response in the field, and the competitive edge in the development of medicine and vaccines that were behind the developed countries. The second response is an aggressive effort implemented just after the Chinese announcement, before the domestic outbreak; the third response is the open policy that induces voluntary participation of all subjects and people by opening all information. More important is the leadership at the national level shown in the past Korean experience and most advanced countries. National leadership must be the missing factor.

• 대한임베디드공학회논문지
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• 제18권4호
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• pp.159-164
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• 2023

Solar energy harvesting IoT devices prioritize maximizing the utilization of collected energy due to the periodic recharging nature of solar energy, rather than minimizing energy consumption. Meanwhile, research on edge AI, which performs machine learning near the data source instead of the cloud, is actively conducted for reasons such as data confidentiality and privacy, response time, and cost. One such research area involves performing various audio AI applications using audio data collected from multiple IoT devices in an IoT edge computing environment. However, in most studies, IoT devices only perform sensing data transmission to the edge server, and all processes, including data preprocessing, are performed on the edge server. In this case, it not only leads to overload issues on the edge server but also causes network congestion by transmitting unnecessary data for learning. On the other way, if data preprocessing is delegated to each IoT device to address this issue, it leads to another problem of increased blackout time due to energy shortages in the devices. In this paper, we aim to alleviate the problem of increased blackout time in devices while mitigating issues in server-centric edge AI environments by determining where the data preprocessed based on the energy state of each IoT device. In the proposed method, IoT devices only perform the preprocessing process, which includes sound discrimination and noise removal, and transmit to the server if there is more energy available than the energy threshold required for the basic operation of the device.

• 한국전산구조공학회논문집
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• 제32권6호
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• pp.375-381
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• 2019

구조물의 상태를 조기에 파악하기 위한 구조물 건전도 모니터링 연구와 건물의 정보를 수집하여 에너지를 효율적으로 관리해 주는 건물에너지관리시스템에 관한 연구가 활발히 진행 중이다. 본 연구에서는 기존 모니터링 시스템 연구가 건설, 센싱, ICT 기술이 융합된 첨단 기술임에도 불구하고 고가의 센서와 전문적인 기술력이 요구되어 적용 범위가 제한된다는 한계를 극복하기 위하여 싱글보드컴퓨터 중 가장 널리 쓰이는 라즈베리파이와 저전력으로 장거리의 통신이 가능한 로라 모듈, 고성능의 보급형 가속도계를 활용하여 장기간으로 건물의 모니터링이 가능한 무선 엣지 컴퓨팅 시스템을 구축하였다. 또한 라즈베리파이에 분산처리 알고리즘을 탑재함으로써 실시간으로 취득되는 방대한 양의 가속도 데이터 중 의미있는 데이터만을 취득하였으며 와이파이 통신으로 취득한 전체의 로우데이터와 비교함으로써 본 시스템으로부터 취득된 데이터의 정밀성을 검증하였다.

• 한국정보통신학회논문지
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• 제26권2호
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• pp.258-264
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• 2022

정보 통신 기술 (ICT)이 축사와 접목된 스마트 축사는 대부분 클라우드 컴퓨팅 패러다임에 기반하고 있다. 클라우드 기반 스마트 축사는 응답 시간 증가, IoT 센서 증가에 따른 클라우드의 자원 부담, 망의 트래픽 부담과 같은 단점이 있고 인접한 IoT 디바이스와의 협업을 통한 장애 회복 메커니즘이 거의 없는 실정이다. 본 논문에서는 에지 컴퓨팅 기반 IoT 협업 시스템을 제안한다. 에지 디바이스의 비교적 제한적인 컴퓨팅 자원으로 클라우드의 웹 서버 기능을 분담하게 하여 클라우드에 필요한 자원을 절감하며, 사용자 요청에 대한 응답 시간을 개선하고자 한다. 또한 heartbeat 기반 장애 회복 메커니즘을 통하여 IoT 디바이스의 장애를 감지하고 그에 따른 적절한 조치를 하도록 하였다.

• International Journal of Aeronautical and Space Sciences
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• 제8권1호
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• pp.115-121
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• 2007

The aeroelastic analysis of rotor blades with trailing edge flaps, focused on reducing vibration while minimizing control effort, are investigated using large deflection-type beam theory in forward flight. The rotor blade aerodynamic forces are calculated using two-dimensional quasi-steady strip theory. For the analysis of forward flight, the nonlinear periodic blade steady response is obtained by integrating the full finite element equation in time through a coupled trim procedure with a vehicle trim. The objective function, which includes vibratory hub loads and active flap control inputs, is minimized by an optimal control process. Numerical simulations are performed for the steady-state forward flight of various advance ratios. Also, numerical results of the steady blade and flap deflections, and the vibratory hub loads are presented for various advance ratios and are compared with the previously published analysis results obtained from modal analysis based on a moderate deflection-type beam theory.

• Steel and Composite Structures
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• 제1권2호
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• pp.201-212
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• 2001

In order to investigate the effect of the loading rate on the mechanical behavior of SRC shearwalls, we conducted the lateral loading tests on the 1/3 scale model shearwalls whose edge columns were reinforced by H-shaped steel. The specimens were subjected to the reversed cyclic lateral load under a variable axial load. The two types of loading rate, 0.01 cm/sec for the static loading and 1 cm/sec for the dynamic loading were adopted. The failure mode in all specimens was the sliding shear of the in-filled wall panel. The edge columns did not fail in shear. The initial lateral stiffness and lateral load carrying capacity of the shearwalls subjected to the dynamic loading were about 10% larger than those subjected to the static loading. The effects of the arrangement of the H-shaped steel on the lateral load carrying capacity and the lateral load-displacement hysteresis response were not significant.

• Smart Structures and Systems
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• 제5권6호
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• pp.633-644
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• 2009

A simple method has been developed to detect the bonding condition of active fiber composites (AFC) adhered to the surface of a host structure. Large deformation actuating capability is one of important features of AFC. Edge delamination in adhesive layer due to large interfacial shear stress at the free edge is typically resulted from axial strain mismatch between bonded materials. AFC patch possesses very good flexibility and toughness. When an AFC patch is partially delaminated from host structure, there remains sensing capability in the debonded part. The debonding size can be determined through axial resonance measured by the interdigitated electrodes symmetrically aligned on opposite surfaces of the patch. The electrical impedance and modal response of the AFC patch in part adhered to an aluminum plate were investigated in a broad frequency range. Debonding ratio of the AFC patch is in inverse proportion to the resonant frequency of the fundamental mode. Feasibility of in-situ detecting the progressive delamination between AFC patch and host plate is demonstrated.

• International Journal of Computer Science & Network Security
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• 제23권10호
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• pp.73-80
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• 2023

The recent growth in the use of mobile devices has contributed to increased computing and storage requirements. Cloud computing has been used over the past decade to cater to computational and storage needs over the internet. However, the use of various mobile applications like Augmented Reality (AR), M2M Communications, V2X Communications, and the Internet of Things (IoT) led to the emergence of mobile cloud computing (MCC). All data from mobile devices is offloaded and computed on the cloud, removing all limitations incorporated with mobile devices. However, delays induced by the location of data centers led to the birth of edge computing technologies. In this paper, we discuss one of the edge computing technologies, i.e., cloudlet. Cloudlet brings the cloud close to the end-user leading to reduced delay and response time. An algorithm is proposed for scheduling tasks on cloudlet by considering VM's load. Simulation results indicate that the proposed algorithm provides 12% and 29% improvement over EMACS and QRR while balancing the load.