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| 1 | A 15-to- 45 GHz low-loss analog reflection-type MEMS phase shifter显示文摘 | Sanghyo L Jae-Hyoung P Hong-Teuk K | 2003 | IEEE MTY-S International Microwave Symposium Digest2003，52，1： | 1 |
| 2 | Internet Micromobility显示文摘 | Andrew T Campbell Javier Gomez Sanghyo Kim | 2002 | High Speed Networks2002，，11： | 1 |
| 3 | Two-state reconfigurable miniaturized low-pass filter using micromachined double-contact RF switches显示文摘 | Jong-Man Kim Sanghyo Lee Jae-Hyoung Park Chang-Wook Baek Youngwoo Kwon Yong-Kweon Kim | 2011 | Sensors & Actuators: A Physical2011，，1： | 1 |
| 4 | Visualization for Explanation of Deep Learning-Based Defect Detection Model Using Class Activation Map显示文摘Recently,convolutional neural network(CNN)-based visual inspec-tion has been developed to detect defects on building surfaces automatically.The CNN model demonstrates remarkable accuracy in image data analysis;however,the predicted results have uncertainty in providing accurate informa-tion to users because of the“black box”problem in the deep learning model.Therefore,this study proposes a visual explanation method to overcome the uncertainty limitation of CNN-based defect identification.The visual repre-sentative gradient-weights class activation mapping(Grad-CAM)method is adopted to provide visually explainable information.A visualizing evaluation index is proposed to quantitatively analyze visual representations;this index reflects a rough estimate of the concordance rate between the visualized heat map and intended defects.In addition,an ablation study,adopting three-branch combinations with the VGG16,is implemented to identify perfor-mance variations by visualizing predicted results.Experiments reveal that the proposed model,combined with hybrid pooling,batch normalization,and multi-attention modules,achieves the best performance with an accuracy of 97.77%,corresponding to an improvement of 2.49%compared with the baseline model.Consequently,this study demonstrates that reliable results from an automatic defect classification model can be provided to an inspector through the visual representation of the predicted results using CNN models. | Hyunkyu Shin Yonghan Ahn Mihwa Song Heungbae Gil Jungsik Choi Sanghyo Lee | 2023 | Computers, Materials & Continua2023，，6： | 1 |
| 5 | Supercapacitive properties of composite electrodes consisting of polyaniline, carbon nanotube, and RuO2显示文摘 | Jang Myoun Ko Kwang Sun Ryu Sanghyo Kim Kwang Man Kim | 2009 | Journal of Applied Electrochemistry2009，，8： | 1 |
| 6 | Structural dynamic disphcement vision system using digital image processing显示文摘 | CHOI Hyoungsuk CHEUNG Jinhwan KIM Sanghyo | 2011 | NDT&E International2011，44，2： | 1 |
| 7 | Wind estimation and airspeed calibration using a UAV with a single-antenna GPS receiver and pitot tube 显示文摘 | Am Cho Jihoon Kim Sanghyo Lee | 2011 | IEEE Transactions on Aerospace and Electronic Systems2011，47，1： | 1 |
| 8 | Thermal behaviour of poly(ε-caprolactone)-poly(ethylene glycol)-poly(ε-caprolactone) tri-block copolymers显示文摘 | J. H. An H. S. Kim D. J. Chung D. S. Lee Sanghyo Kim | 2001 | Journal of Materials Science2001，，3： | 1 |
| 9 | Microfluidic cell cocuhure methods for understanding cell biology, analyzing bio-pharmaceuticals and developing tissue constructs显示文摘 | Mohana M Sanghyo K | 2011 | Anal Bioehem2011，413，： | 1 |
| 10 | A V-band CPS distributed analog MEMS phase shifter显示文摘 | Lee Sanghyo Kim Jungmu | 2003 | Microwave Symposium Digest2003，3，813： | 1 |
| 11 | Synthesis and characterization of lanthanum-doped curcumin-functionalized antimicrobial copper oxide nanoparticles显示文摘Flavonoid-based nanomaterials have extensive potential in antimicrobial research because of their non-toxicity,large-scale producibility,and chemical stability.An efficient combination of flavonoids and rare earth metals can have excellent antimicrobial properties owing to their robust medicinal and physicochemical properties.In this study,we synthesized copper oxide(CuO)nanoparticles(NPs)using a reflux reaction and repeated doping with the rare earth element lanthanum to prepare La-CuO NPs.Next,these La-CuO NPs were functionalized with the flavonoid curcumin,and the modified NPs were termed Cu-La-CuO NPs.These NPs were chemically characterized via microscopic and spectroscopic techniques,including transmission electron microscopy(TEM),scanning electron microscopy(SEM),ultraviolet-visible(UV-Vis)adsorption,Fourier transform infrared spectroscopy(FT-IR)spectroscopy,and powder X-ray diffraction(XRD)analysis.The SEM-EDX analysis reveals the elements doped into the native CuO NPs.The TEM and XRD characterization results show,in detail,the distinct morphology and phase composition of the prepared CuO,La-CuO,and Cu-La-CuO NPs.The antimicrobial activity of the Cu-La-CuO NPs was investigated on bacteria,such as Escherichia coli(E.coli)and Bacillus subtilis(B.subtilis),and fungi,including Aspergillus niger(A niger).The Cu-La-CuO NPs delivers excellent antimicrobial effects due to the incorporation of lanthanum and curcumin into the CuO NPs.The Cu-La-CuO NPs show excellent antimicrobial potentials with an adequate zone of inhibition values around 2.2 and 2.9 mm in E.coli and A.niger,respectively.Live and dead analysis studies suggest the antimicrobial effects of lanthanum and curcumin moieties over native CuO NPs.The obtained results are significant in developing of rare earth metal-based flavo no id-conjugated nanocomposites against typical microbes. | Sai Varshith Chakka Naveen Thanjavur Sunmi Lee Sanghyo Kim | 2023 | Journal of Rare Earths2023，41，10： | 0 |
| 12 | Predicting Concrete Compressive Strength Using Deep Convolutional Neural Network Based on Image Characteristics显示文摘In this study,we examined the efficacy of a deep convolutional neural network(DCNN)in recognizing concrete surface images and predicting the compressive strength of concrete.A digital single-lens reflex(DSLR)camera and microscope were simultaneously used to obtain concrete surface images used as the input data for the DCNN.Thereafter,training,validation,and testing of the DCNNs were performed based on the DSLR camera and microscope image data.Results of the analysis indicated that the DCNN employing DSLR image data achieved a relatively higher accuracy.The accuracy of the DSLR-derived image data was attributed to the relatively wider range of the DSLR camera,which was beneficial for extracting a larger number of features.Moreover,the DSLR camera procured more realistic images than the microscope.Thus,when the compressive strength of concrete was evaluated using the DCNN employing a DSLR camera,time and cost were reduced,whereas the usefulness increased.Furthermore,an indirect comparison of the accuracy of the DCNN with that of existing non-destructive methods for evaluating the strength of concrete proved the reliability of DCNN-derived concrete strength predictions.In addition,it was determined that the DCNN used for concrete strength evaluations in this study can be further expanded to detect and evaluate various deteriorative factors that affect the durability of structures,such as salt damage,carbonation,sulfation,corrosion,and freezing-thawing. | Sanghyo Lee Yonghan Ahn Ha Young Kim | 2020 | Computers, Materials & Continua2020，，10： | 0 |
| 13 | Modelling charge transport and electro-optical characteristics of quantum dot light-emitting diodes显示文摘Quantum dot light-emitting diodes(QD-LEDs)are considered as competitive candidate for next-generation displays or lightings.Recent advances in the synthesis of core/shell quantum dots(QDs)and tailoring procedures for achieving their high quantum yield have facilitated the emergence of high-performance QD-LEDs.Meanwhile,the charge-carrier dynamics in QD-LED devices,which constitutes the remaining core research area for further improvement of QD-LEDs,is,however,poorly understood yet.Here,we propose a charge transport model in which the charge-carrier dynamics in QD-LEDs are comprehensively described by computer simulations.The charge-carrier injection is modelled by the carrier-capturing process,while the effect of electric fields at their interfaces is considered.The simulated electro-optical characteristics of QD-LEDs,such as the luminance,current density and external quantum efficiency(EQE)curves with varying voltages,show excellent agreement with experiments.Therefore,our computational method proposed here provides a useful means for designing and optimising high-performance QD-LED devices. | Sung-Min Jung Tae Hoon Lee Sang Yun Bang Soo Deok Han Dong-Wook Shin Sanghyo Lee Hyung Woo Choi Yo-Han Suh Xiang-Bing Fan Jeong-Wan Jo Shijie Zhan Jiajie Yang Chatura Samarakoon Yoonwoo Kim Luigi GOcchipinti Gehan Amaratunga Jong Min Kim | 2021 | npj Computational Materials2021，，1： | 0 |
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