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      • KCI등재

        A Defect Detection Algorithm of Denim Fabric Based on Cascading Feature Extraction Architecture

        Shuangbao Ma,Renchao Zhang,Yujie Dong,Yuhui Feng,Guoqin Zhang 한국정보처리학회 2023 Journal of information processing systems Vol.19 No.1

        Defect detection is one of the key factors in fabric quality control. To improve the speed and accuracy of denimfabric defect detection, this paper proposes a defect detection algorithm based on cascading feature extractionarchitecture. Firstly, this paper extracts these weight parameters of the pre-trained VGG16 model on the largedataset ImageNet and uses its portability to train the defect detection classifier and the defect recognitionclassifier respectively. Secondly, retraining and adjusting partial weight parameters of the convolution layerwere retrained and adjusted from of these two training models on the high-definition fabric defect dataset. Thelast step is merging these two models to get the defect detection algorithm based on cascading architecture. Then there are two comparative experiments between this improved defect detection algorithm and otherfeature extraction methods, such as VGG16, ResNet-50, and Xception. The results of experiments show thatthe defect detection accuracy of this defect detection algorithm can reach 94.3% and the speed is also increasedby 1–3 percentage points.

      • Mercury ion-DNA specificity triggers a distinctive photoluminescence depression in organic semiconductor probes guided with a thymine-rich oligonucleotide sequence

        Huang, Jietao,Park, Jin Hyuk,Back, Seung Hyuk,Feng, Yuhui,Cui, Chunzhi,Jin, Long Yi,Ahn, Dong June The Royal Society of Chemistry 2018 Nanoscale Vol.10 No.37

        <P>DNA strands have been recently found to play a role in crystallizing organic semiconductors as a substitute for conventional surfactants. Such DNA-guided organic semiconductor particles possessed the recognition ability to complementary target DNAs, resulting in “enhanced luminescence” due to the lesser degree of non-radiative dissipation. Apart from this, in this study we developed selective recognition of mercury ions by utilizing DNA probes having ion-specific thymine-rich motifs. Strikingly, the specific ion-DNA interaction triggered rather distinctive “depressed luminescence” emitting from the particles. The mercury ions were found to be present both at the surface and the inner regions, which were discovered to relate to the drastic morphological distortion of the particles as evidenced by elemental, electron microscopy, and confocal fluorescence microscopy analyses. This novel phenomenon discovered would expand the technological values of organic semiconductors conjugated with oligonucleotides toward a wider range of target-specific applications.</P>

      • KCI등재

        Power control of CiADS core with the intensity of the proton beam

        Kai Yin,Wenjing Ma,Wenjuan Cui,Zhiyong He,Xinxin Li,Shiwu Dang,Feng Yang,Yuhui Guo,Limin Duan,Meng Li,Yikai Hou 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.4

        This paper reports the control method for the core power of the China initiative Accelerator DrivenSystem (CiADS) facility. In the CiADS facility, an intense external neutron source provided by a protonaccelerator coupled to a spallation target is used to drive a sub-critical reactor. Without any control rodinside the sub-critical reactor, the core power is controlled by adjusting the proton beam intensity. Inorder to continuously change the beam intensity, an adjustable aperture is considered to be used at theLow Energy Beam Transport (LEBT) line of the accelerator. The aperture size is adjusted based on theProportional Integral Derivative (PID) controllers, by comparing either the setting beam intensity or thesetting core power with the measured value. To evaluate the proposed control method, a CiADS coremodel is built based on the point reactor kinetics model with six delayed neutron groups. The simulations based on the CiADS core model have indicated that the core power can be controlled stably byadjusting the aperture size. The response time in the adjustment of the core power depends mainly onthe adjustment time of the beam intensity

      • SCIESCOPUSKCI등재

        Simulation Research of Multi-morphological Microstructures Chaining Mechanism of Nano-magnetic Fluid

        Lei Yang,Yibiao Chen,Yao Yao,Shuaikang Wei,Yuhui Xie,Decai Li,Jun Yu,Hongming Zhou,Yiping Feng 한국자기학회 2024 Journal of Magnetics Vol.29 No.1

        For nano-magnetic fluid(NMF), the magnetic nano-particle(MNP) kinematic behavior in a magnetic field and the chain-like microstructure evolution are important to study the NMF properties at the microscopic level. However, the chain structure formation mechanism and the effects of multiple environmental factors on microstructural morphology remain unclear. In this paper, the interaction of a two-particle system, chain structure formation process, microstructure evolution and response time simulation of NMF is investigated by the discrete element simulation method. The results show that the magnetic dipole and repulsive forces dominate the chain structure formation and evolution under a uniform magnetic field. MNPs assemble into chain-like structures and various complex structures along the magnetic f ield direction. The volume fraction, magnetization intensity and particle size significantly affect the microstructure and the response time. The above study can obtain the specific morphology of the microstructure at different working conditions and broaden the application of NMF in practical engineering.

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