• 제목/요약/키워드: Smart Frame

검색결과 286건 처리시간 0.027초

Temperature effect on seismic performance of CBFs equipped with SMA braces

  • Qiu, Canxing;Zhao, Xingnan
    • Smart Structures and Systems
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    • 제22권5호
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    • pp.495-508
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    • 2018
  • Shape memory alloys (SMAs) exhibit superelasticity given the ambient temperature is above the austenite finish temperature threshold, the magnitude of which significantly depends on the metal ingredients though. For the monocrystalline CuAlBe SMAs, their superelasticity was found being maintained even when the ambient temperature is down to $-40^{\circ}C$. Thus this makes such SMAs particularly favorable for outdoor seismic applications, such as the framed structures located in cold regions with substantial temperature oscillation. Due to the thermo-mechanical coupling mechanism, the hysteretic properties of SMAs vary with temperature change, primarily including altered material strength and different damping. Thus, this study adopted the monocrystalline CuAlBe SMAs as the kernel component of the SMA braces. To quantify the seismic response characteristics at various temperatures, a wide temperature range from -40 to $40^{\circ}C$ are considered. The middle temperature, $0^{\circ}C$, is artificially selected to be the reference temperature in the performance comparisons, as well the corresponding material properties are used in the seismic design procedure. Both single-degree-of-freedom systems and a six-story braced frame were numerically analyzed by subjecting them to a suite of earthquake ground motions corresponding to the design basis hazard level. To the frame structures, the analytical results show that temperature variation generates minor influence on deformation and energy demands, whereas low temperatures help to reduce acceleration demands. Further, attributed to the excellent superelasticity of the monocrystalline CuAlBe SMAs, the frames successfully maintain recentering capability without leaving residual deformation upon considered earthquakes, even when the temperature is down to $-40^{\circ}C$.

눈 깜박임 화소 값 기반의 안면과 홍채영역 영상인식용 모듈설계 (Design of Image Recognition Module for Face and Iris Area based on Pixel with Eye Blinking)

  • 강민구
    • 인터넷정보학회논문지
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    • 제18권1호
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    • pp.21-26
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    • 2017
  • 본 논문에서는 홍채정보로 개인인증을 위한 USB-OTG(Uiversal Serial Bus On-the-go) 영상인식 모듈을 설계한다. 개인인증을 위해 사용자가 스마트 폰 버튼을 누를 필요가 없도록 스마트 기기를 안면주위의 여러 장의 안면영상을 획득 후, 눈 깜박임에 의한 화소 값 차로 안면과 홍채영역을 검색하는 영상인식 알고리듬을 제안한다. 본 연구에서는 인접한 눈을 뜬 영상과 눈을 감은 영상을 감지한 안면과 홍채 영상의 프레임 화소 값의 차이를 사용한다. 또한, 홍채 영역분할에 의한 동공과 홍채영역 위치를 빠르게 찾을 수 방법을 활용한다. 제안한 빠른 홍채영역의 위치탐색은 눈 영역의 적정한 그리드 크기에 의해 결정할 수 있다. 안면과 홍채영역의 제한된 영역을 탐색하는 홍채인식 카메라 모듈의 USB-OTG 인터페이스 통한 인접영상의 프레임 차이에 의해 검출할 수 있도록 설계하였다. 이로서 스마트 디바이스 사용자가 홍채 인식을 위해 눈을 깜빡이지 않고 대기해야 하는 불편함을 제거함으로써 사용자 편의성을 증대시킬 것으로 기대한다.

Parametric study of a new tuned mass damper with pre-strained SMA helical springs for vibration reduction

  • Hongwang Lv;Bin Huang
    • Smart Structures and Systems
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    • 제31권1호
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    • pp.89-100
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    • 2023
  • This paper conducts a parametric study of a new tuned mass damper with pre-strained superelastic SMA helical springs (SMAS-TMD) on the vibration reduction effect. First, a force-displacement relation model of superelastic SMA helical spring is presented based on the multilinear constitutive model of SMA material, and the tension tests of the six SMA springs fabricated are implemented to validate the mechanical model. Then, a dynamic model of a single floor steel frame with the SMAS-TMD damper is set up to simulate the seismic responses of the frame, which are testified by the shaking table tests. The wire diameter, initial coil diameter, number of coils and pre-strain length of SMA springs are extracted to investigate their influences on the seismic response reduction of the frame. The numerical and experimental results show that, under different earthquakes, when the wire diameter, initial coil diameter and number of coils are set to the appropriate values so that the initial elastic stiffness of the SMA spring is between 0.37 and 0.58 times of classic TMD stiffness, the maximum reduction ratios of the proposed damper can reach 40% as the mass ratio is 2.34%. Meanwhile, when the pre-strain length of SMA spring is in a suitable range, the SMAS-TMD damper can also achieve very good vibration reduction performance. The vibration reduction performance of the SMAS-TMD damper is generally equal to or better than that of the classic optimal TMD, and the proposed damper effectively suppresses the detuning phenomena that often occurs in the classic TMD.

스마트 그리드를 위한 전력선 통신 시스템에서의 데이터 전송률 향상 기법 (Data Transmission Rate Improvement Scheme in Power Line Communication System for Smart Grid)

  • 김요철;배정남;김윤현;김진영
    • 한국통신학회논문지
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    • 제35권12B호
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    • pp.1183-1191
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    • 2010
  • 본 논문은 스마트 그리드를 위한 전력선 통신 시스템에서 데이터 전송률을 향상시키는 적응형 OFDM CP 길이 알고리즘에 대해 연구하였다. 본 논문에서 제안한 기법은 수신단의 CP controller에서 수신된 데이터 프레임과 지연된 동일 데이터 프레임을 상관 처리를 취함으로써 채널 지연 정보를 계산한 후, 즉시 그 정보를 송신단에 피드백 한다. 그 다음, 송신단에서는 다음 데이터 프레임에 대한 CP 길이를 조절하게 된다. Impulsive noise 모델로서, Middleton Class A 간섭 모델을 사용하였고, 성능은 패킷 전송률과 누적 패킷 전송률, 비트 오류율 측면에서 평가되었다. 모의실험 결과로부터 패킷 수가 증가할수록 데이터 이득(감소된 비트 양)이 커지지만, branch 수($N_{br}$)가 증가할수록 데이터 이득 폭은 감소한다는 것을 알 수 있었다. $N_{br}$ 이 3, 5, 10인 경우, 적응형 CP 길이 알고리즘과 고정된 CP 길이 기법의 BER 성능은 비슷하였다. 따라서 제안한 기법은 기존의 고정 CP 길이 기법과 비교하여 BER 성능 감소 없이 데이터 전송률 증가를 달성하였음을 확인할 수 있었다.

지능형 주차 관제를 위한 실내주차장에서 실시간 차량 추적 및 영역 검출 (Realtime Vehicle Tracking and Region Detection in Indoor Parking Lot for Intelligent Parking Control)

  • 연승호;김재민
    • 한국멀티미디어학회논문지
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    • 제19권2호
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    • pp.418-427
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    • 2016
  • A smart parking management requires to track a vehicle in a indoor parking lot and to detect the place where the vehicle is parked. An advanced parking system watches all space of the parking lot with CCTV cameras. We can use these cameras for vehicles tracking and detection. In order to cover a wide area with a camera, a fisheye lens is used. In this case the shape and size of an moving vehicle vary much with distance and angle to the camera. This makes vehicle detection and tracking difficult. In addition to the fisheye lens, the vehicle headlights also makes vehicle detection and tracking difficult. This paper describes a method of realtime vehicle detection and tracking robust to the harsh situation described above. In each image frame, we update the region of a vehicle and estimate the vehicle movement. First we approximate the shape of a car with a quadrangle and estimate the four sides of the car using multiple histograms of oriented gradient. Second we create a template by applying a distance transform to the car region and estimate the motion of the car with a template matching method.

사물인터넷용 소용량 연결 서비스 솔루션 설계 (Design of small-scale connected service solution for Internet of Things)

  • 김삼택
    • 한국융합학회논문지
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    • 제8권9호
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    • pp.25-30
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    • 2017
  • 커넥티드 하우스는 새로운 통신서비스와 M2M, NFC, 스마트 홈, 스마트 그리드 등 기존 IT 시스템을 융합한 새로운 형태의 IT 융합 서비스로서, 언제 어디서나 어떠한 디바이스에도 연결되는 미래형 커넥티드 라이프 서비스이다. 본 논문에서는 미래형 커넥티드 라이프 서비스를 제공하는 사물인터넷용 커넥티드 오피스 솔루션인 지능형 게이트웨이를 설계하여 각종 센서와 지그비/Z-Wave/NFC 및 단말장치를 연동하며 제어할 수 있게 하였다. 또한 본 게이트웨이에 연동되는 IP/SIP/IMS 카메라, 비디오 도어폰을 개발하여 음성품질, 지터, 프레임 스피드 항목에서 국내통신사업자의 품질 기준을 만족하였다.

Human Face Tracking and Modeling using Active Appearance Model with Motion Estimation

  • Tran, Hong Tai;Na, In Seop;Kim, Young Chul;Kim, Soo Hyung
    • 스마트미디어저널
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    • 제6권3호
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    • pp.49-56
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    • 2017
  • Images and Videos that include the human face contain a lot of information. Therefore, accurately extracting human face is a very important issue in the field of computer vision. However, in real life, human faces have various shapes and textures. To adapt to these variations, A model-based approach is one of the best ways in which unknown data can be represented by the model in which it is built. However, the model-based approach has its weaknesses when the motion between two frames is big, it can be either a sudden change of pose or moving with fast speed. In this paper, we propose an enhanced human face-tracking model. This approach included human face detection and motion estimation using Cascaded Convolutional Neural Networks, and continuous human face tracking and modeling correction steps using the Active Appearance Model. A proposed system detects human face in the first input frame and initializes the models. On later frames, Cascaded CNN face detection is used to estimate the target motion such as location or pose before applying the old model and fit new target.

Molecular characterization and biological changes caused by Agrobacterium-mediated infiltration of PgTRX1

  • Choi, Seung Hyuk;Seo, Ji Won;Lee, Jae Geun;Yu, Chang Yeon;Seong, Eun Soo
    • Journal of Applied Biological Chemistry
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    • 제64권3호
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    • pp.205-211
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    • 2021
  • In order to test the functionality of Panax ginseng thioredoxin 1 (PgTRX1) isolated from fermented wild ginseng roots, a transient effect on physiological activity were performed over a short time frame using the Agrobacterium infiltration technique. The PgTRX1 gene isolated from fermented wild ginseng was confirmed to have a size of 579 bp, and the expression of PgTRX1 was the highest in the sample after 6 h of fermentation. As a result of constructing this gene and confirming the infiltration reaction mediated by Agrobacterium in tobacco leaves, it was found that the expression of the NbHSR203j gene was also induced as PgTRX1 expression increased. As a result of measuring the biological activity of the infiltration samples, the total phenol content increased by 35.45±1.84 to 49.01±1.84 ㎍ GAE/mL compared to the control, and the total flavonoid amount of 9.52±0.41 to 9.82±0.25 ㎍ QE/mL was slightly high. From these results, Agrobacterium-mediated PgTRX1 appears to be related to the hypersensitive response induction mechanism of plants and the production of secondary metabolites such as phenolic substances.

Optimum actuator placement for damping of vibrations using the Prestress-Accumulation Release control approach

  • Poplawski, Blazej;Mikulowski, Grzegorz;Pisarski, Dominik;Wiszowaty, Rafal;Jankowski, Lukasz
    • Smart Structures and Systems
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    • 제24권1호
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    • pp.27-35
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    • 2019
  • This paper proposes a quantitative criterion for optimization of actuator placement for the Prestress-Accumulation Release (PAR) strategy of mitigation of vibrations. The PAR strategy is a recently developed semi-active control approach that relies on controlled redistribution of vibration energy into high-order modes, which are high-frequency and thus effectively dissipated by means of the natural mechanisms of material damping. The energy transfer is achieved by a controlled temporary removal of selected structural constraints. This paper considers a short-time decoupling of rotational degrees of freedom in a frame node so that the bending moments temporarily cease to be transferred between the involved beams. We propose and test a quantitative criterion for placement of such actuators. The criterion is based on local modal strain energy that can be released into high-order modes. The numerical time complexity is linear with respect to the number of actuators and potential placements, which facilitates quick analysis in case of large structures.

딥러닝과 확률모델을 이용한 실시간 토마토 개체 추적 알고리즘 (Real-Time Tomato Instance Tracking Algorithm by using Deep Learning and Probability Model)

  • 고광은;박현지;장인훈
    • 로봇학회논문지
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    • 제16권1호
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    • pp.49-55
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    • 2021
  • Recently, a smart farm technology is drawing attention as an alternative to the decline of farm labor population problems due to the aging society. Especially, there is an increasing demand for automatic harvesting system that can be commercialized in the market. Pre-harvest crop detection is the most important issue for the harvesting robot system in a real-world environment. In this paper, we proposed a real-time tomato instance tracking algorithm by using deep learning and probability models. In general, It is hard to keep track of the same tomato instance between successive frames, because the tomato growing environment is disturbed by the change of lighting condition and a background clutter without a stochastic approach. Therefore, this work suggests that individual tomato object detection for each frame is conducted by YOLOv3 model, and the continuous instance tracking between frames is performed by Kalman filter and probability model. We have verified the performance of the proposed method, an experiment was shown a good result in real-world test data.