Testing and finite element modeling of stressed skin diaphragms

Qilin Zhang,Yang Liu,Weijun Qian 국제구조공학회 2007 Steel and Composite Structures, An International J Vol.7 No.1

The cold formed light-gauge profiled steel sheeting can offer considerable shear resistance acting in the steel building frame. This paper conducted the full-scale test on the shear behavior of stressed skin diaphragm using profiled sheeting connected by the self-tapping screws. A three-dimensional finite element model that simulates the stressed skin diaphragm was developed. The sheet was modeled using thin element model while the supporting members were simulated using beam elements. Fasteners were represented in the numerical model as equivalent springs. A joint test program was conducted to characterize the properties of these springs and results were reported in this study. Finite element model of the full-scale test was analyzed by use of the ANSYS package, considering nonlinearity caused by the large deflection and slip of fasteners. The experimental data was compared with the results acquired by the EUR formulas and finite element analysis.

Real-time structural health monitoring system based on streaming data

Qilin Zhang,Siyuan Sun,Bin Yang,Roland Wüchner,Licheng Pan,Haitao Zhu 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.28 No.2

In this paper, a novel real-time structural health monitoring (SHM) system based on streaming data is proposed. In contrast to a traditional SHM system, the proposed system implements a series of optimizations for data transmission and processing to reduce the latency and better satisfy the real-time requirement. The concept of the watermark in the streaming system is adopted to address the problem of when to trigger the time window calculation under the real-time requirement. Moreover, a well-designed parallel mechanism is used to satisfy the multistage computation requirement in the parallel data stream. A case study in which the proposed system is applied to the Shanghai Tower is presented. The peak picking method is used as an example in the test environment to track the latency of each main operation under different parallelism schemes. The results show that computing in parallel effectively reduces the latency and provides a reference for integrating the random decrement technique (RDT), stochastic subspace identification (SSI), or other more complex but effective algorithms in parallel into the system in the future. The total latency under the test environment from data generation to data transmission to the web server is approximately only 200-400 ms, which indicates the excellent real-time performance of the system.

Online automatic structural health assessment of the Shanghai Tower

Qilin Zhang,Xiaoxiang Tang,Jie W,Bin Yang 국제구조공학회 2019 Smart Structures and Systems, An International Jou Vol.24 No.3

Structural health monitoring (SHM) is of great importance to super high-rise buildings. The Shanghai Tower is currently the tallest building in China, and a complete SHM system was simultaneously constructed at the beginning of the construction of the tower. Due to the variety of sensor types and the large number of measurement points in the SHM system, an online automatic structural health assessment method with few computations and no manual intervention is needed. This paper introduces a structural health assessment method for the Shanghai Tower that uses the coefficients of an autoregressive (AR) time series model as structural state indicators. An analysis of collected data indicates that the coefficients of the AR model are affected by environmental factors, and the principal component analysis method is used to remove the influence of environmental factors. Finally, the control chart method is used to track the changes in structural state indicators, and a plan for online automatic structure health state evaluation is proposed. This method is applied to long-term acceleration and inclination data from the Shanghai Tower and successfully identifies the changes in the structural state. Overall, the structural state indicators of the Shanghai Tower are stable, and the structure is in a healthy state.

Impact of General Factors on Glioma Immunotherapy

Qilin Huang,Dongmei Wang,Guojie Yao,Hongxiang Wang 대한신경과학회 2022 Journal of Clinical Neurology Vol.18 No.1

Glioma remains the most common malignant tumor in the brain and is also the most difficult to treat. Immunotherapy achieving long-lasting tumor remission in multiple cancer types has received considerable attention due to its potential to improve the treatment outcomes of patients with glioma. However, clinical trials have not yet demonstrated major improvements in prognoses, which might be attributable to the extrinsic components and intrinsic mechanisms involved in the tumor microenvironment and immune system. It is particularly noteworthy that there is emerging evidence that current routine treatment modalities and the physical and psychological characteristics of patients have different impacts on the efficacy of glioma immunotherapy. This article addresses how these factors interact with the host immune system and tumor microenvironment, and highlights their potential roles in glioma immunotherapy, with the ultimate goal of developing better immunotherapybased personalized medicine strategies.

딥뉴럴 네트워크 공격을 위한 보편적 적대적 이미지 스탬프 생성

장기림(Qilin Zhang),김종우(Jongwoo Kim),김영훈(Younghoon Kim) 한국정보과학회 2020 한국정보과학회 학술발표논문집 Vol.2020 No.7

Insight into Fundamental Rules of Phenylenediamines Selective Monoacylation by the Comparisons of Kinetic Characteristics in Microreactor

Xu Qilin,Liu Ji Ming,Yao Hongmiao,Zhao Jinyang,Wang Zhikuo,Liu Junli,Zhou Jiadi,Yu Zhiqun,Su Weike 대한화학회 2021 Bulletin of the Korean Chemical Society Vol.42 No.10

In this paper, the kinetics of acylation reaction of o-phenylenediamine/p-phenylenediamine and benzoic anhydride were determined in microreactors, respectively. A kinetic model was established, all kinetic parameters including reaction orders, reaction rate constants, pre-exponential factors, and activation energies were acquired. Validation experiments showed experimental data fit well with calculated data at different reactant concentrations and residence times. The comparisons of the reaction rate constants and activation energies were summarized to show the difference of chemical reactivities of phenylenediamines. According to the calculation of the kinetic model, the optimized reaction conditions were listed to meet the monoacylation selectivity equal to 97.0%.

Influence of Illumination with Xenon or Sulfur Lamp on Growth of Tomato Seedlings

Chen, Qilin,Yu, Xinjian,Weng, Jun,Chen, Jinxing,Liu, Yuequn,Gao, Jinpeng,Xu, Chunhe Korean Society of Photoscience 2002 Journal of Photosciences Vol.9 No.2

Effects of illumination with xenon or sulfur lamp on growth of tomato seedlings were studied. Results showed no obvious differences in net photosynthetic rate and apparent quantum efficiency. In comparison with xenon lamp, illumination with sulfur lamp slightly reduced ChI a and ChI b content in leaves, relatively shortened epicotyl and hypocotyl length, but significantly increased anthocyanin content of leaves and promoted root growth of tomato seedling plants.

시맨틱 얼굴 변형을 이용한 심층신경망 공격과 강건성 향상

장기림(Qilin Zhang),김영훈(Younghoon Kim) 한국정보과학회 2021 정보과학회논문지 Vol.48 No.7

심층신경망은 자율 주행, 얼굴 인식, 물체 탐지 등 다양한 분야에서 널리 쓰이고 있다. 하지만 누군가 악의적인 의도로 심층신경망의 입력을 교란시키면, 잘 학습된 신경망도 오작동 할 수 있다. 일반적인 공격 방법은 이미지의 픽셀 공간에 교란을 추가하여 이미지를 조작한다. 그러나 픽셀 기반의 변형은 쉽게 사람의 눈에 띌 수 있기 때문에 현실적인 효과적 공격은 이미지를 부자연스럽게 변형하여 네트워크를 교란시키는 방법이라 할 수 있다. 본 논문에서는 얼굴 이미지의 부위별 분할을 통해 자연스러운 색감 변형을 이용한 새로운 공격 방법을 제안한다. 시맨틱 얼굴 변형(Semantic face transformation) 기반 이미지를 생성하였으며, 이를 통해 심층신경망 이미지분류의 정확도를 낮출 수 있음을 검증하였다. 또한 우리 방법으로 생성된 변형 이미지를 이용하여, 강건성 훈련한 후 신경망의 강건성을 향상시킬 수 있음을 검증하였다. Deep neural networks(DNNs) have achieved great successes in various vision fields such as autonomous driving, face recognition, and object detection. However, a well-trained network can be manipulated if the input of the deep neural networks is disturbed by perturbations. Currently a common attack method is by adding perturbations to the pixel space of images by limiting the Lp-norm of the perturbations. Pixel-based transformations are easily detected by the naked eye so a realistic effective attack can be a method of disturbing the network by unnaturally transforming the image. In this paper, we proposed a new attack method to use natural color transformation through the segmentation of face images. We generated face transformation images based on semantic face transformation and conducted comprehensive experiments to show that using our face transformation reduced the accuracy rate of the classification network. Our face transformation images were also used for robustness training of the neural network. The robustness of the deep neural network was improved.

시맨틱 얼굴 변형 기반 딥뉴럴 네트워크 적대적 공격

장기림(Qilin Zhang),김영훈(Younghoon Kim) 한국정보과학회 2020 한국정보과학회 학술발표논문집 Vol.2020 No.12

Comparative Study of Effects of Illumination with Xenon or Sulfur Lamp on Development of Wheat Plants

Chen, Qilin,Yu, Xinjian,Chen, Jinxing,Liu, Yuequn,Weng, Jun,Xu, Chunhe Korean Society of Photoscience 2002 Journal of Photosciences Vol.9 No.2

The emission of microwave sulfur lamp is mainly composed of visible light. This lamp producing little infrared radiation, has high light efficiency, long lifespan and less power consumption. In comparison with xenon lamp, growing under sulfur lamp apparently postponed jointing, increased the number of tillers, accelerated root growth of wheat. Relatively, xenon lamp evidently promoted heading and grain maturation. The development characteristics of wheat plant under sulfur lamp were more similar with that in natural condition.