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LIU CUN,최진영,Hyun Jiyu,방석호,유태경 한국화학공학회 2023 Korean Journal of Chemical Engineering Vol.40 No.11
To synthesize nanocomposites (NCs) comprising two different materials, a multi-step synthetic method is generally required. In this work, we report the synthesis of a heterometallic nanostructure that can be synthesized using a simple antisolvent crystallization-based method. Cu/CoO NCs composed of Cu nanoparticles and CoO nanosheets were formed by reducing mixed salt particles containing both Cu and Co precursors. The synthesized Cu/CoO NCs exhibit higher sensitivity and increased stability compared to conventional catalysts when used for the electrochemical detection of hydrogen peroxide (H2O2).
Liu, Xiao,Zhang, Duan,Wu, Ye-Cun,Yang, Mei,Wang, Qian,Coileá,in, Cormac Ó,.,Xu, Hongjun,Yang, Chen,Abid, Mohamed,Abid, Mourad,Liu, Huajun,Chun, Byong Sun,Shi, Qingfan,Wu, Han-Chun Elsevier 2017 Carbon Vol.122 No.-
<P>Graphene is moving beyond the realm of simple electronic devices toward areas such as advanced biochemical sensing. The infrared (IR) response of graphene, characterized by collective long-lived charge-carrier oscillations, could be applied in IR-absorption spectroscopy, typically used for bio-chemical analysis. However, direct light absorption by propagating plasmons in graphene is forbidden due to the large momentum mismatch. Proposed methods to overcome this bottleneck come at a cost, the use of noble metal particles on graphene reduces the spectral bandwidth and nano-structuring graphene is expensive. Here, we propose a simple and cheap method to fabricate large scale ultra-sensitive graphene based mid-IR biosensors, by introducing dielectric beads to excite mid-IR range plasmons. Interference from waves scattered by the beads excite surface plasmon polaritons, which propagate several micrometers in graphene and enhance the interaction between the molecules and mid-IR light. This method opens an interesting window for the application of graphene in bio-chemical sensing. (C) 2017 Elsevier Ltd. All rights reserved.</P>
Cun Hui,Qi Shang,Pan Liu,Ran Hai 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.3
In this paper, the wind resistance performance test and numerical simulation analysis of aluminum alloy columns with different structural measures in unit glass curtain walls are carried out. The two-layer experimental model were composed of 12 unit curtain walls, of which there are 2 beams at a distance of 1.2 m from the top and bottom in 9 unit curtain walls respectively, and there is only one beam at a distance of 1.2 m from the top in 3 unit curtain walls. The dimension of each unit curtain wall is 1.2 m × 4.0 m. The section shape of the experimental model is L-shaped. Firstly, the experimental investigation and analysis of the model with arrangement of one pair of hooks under positive and negative wind were carried out. Secondly, the experimental investigation and analysis of the model with no hooks under positive and negative wind were carried out. The out-of-plane deformation, in-plane deformationand the strain of the columns were collected and analyzed. Finally, finite element analysis model was established. The similarities and differences of the analysis results and the experimental results were analyzed. The results show that the beam has a small constraint on the columns whether the wind pressure is positive or negative when the number and position of hooks are reasonable. When the wind pressure is negative, the hook has little effect on the out-of-plane deformation and stability. Under the action of positive wind, the hooks can significantly reduce the in-plane deformation and restrain the lateral torsion deformation of the columns.
Research on the Compression Behavior of Steel Reinforced Concrete Columns With Built-in Steel Tubes
Cun Hui,Fan Zhang,Zhizeng Zhang,Xiaoli Liu,Ran Hai,John J. Myers 한국강구조학회 2020 International Journal of Steel Structures Vol.20 No.4
In order to study the compression behavior of rectangular steel reinforced concrete columns with built-in steel tubes under diff erent eccentric loads, three 1/10 scale specimens were designed and monotonic loading tests were carried out on them. The dimensions, steel bars and steel tube of the three specimens were the same except for the location of the loading point. The eccentricity ratios of the three specimens were 0, 0.25 and 0.5, respectively. The failure modes, load-bearing capacity and displacement characteristics of the test specimens were analyzed. According to the Chinese code, the load-bearing capacity calculation principles and methods of steel reinforced concrete columns with built-in steel tube were investigated for the comparison. The study shows that the peak vertical loads of specimens decrease and the corresponding vertical and horizontal peak displacement increase as the eccentricity increases. The load-bearing capacity calculation results from Chinese code are slightly smaller than the test result because of the unconsidered sleeve eff ect of the internal steel tube. The errors between them are small, and the calculation methods are benefi cial to ensure the structural safety.
Adaptive Learning Path Recommendation based on Graph Theory and an Improved Immune Algorithm
( Cun-ling Bian ),( De-liang Wang ),( Shi-yu Liu ),( Wei-gang Lu ),( Jun-yu Dong ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.5
Adaptive learning in e-learning has garnered researchers’ interest. In it, learning resources could be recommended automatically to achieve a personalized learning experience. There are various ways to realize it. One of the realistic ways is adaptive learning path recommendation, in which learning resources are provided according to learners’ requirements. This paper summarizes existing works and proposes an innovative approach. Firstly, a learner-centred concept map is created using graph theory based on the features of the learners and concepts. Then, the approach generates a linear concept sequence from the concept map using the proposed traversal algorithm. Finally, Learning Objects (LOs), which are the smallest concrete units that make up a learning path, are organized based on the concept sequences. In order to realize this step, we model it as a multi-objective combinatorial optimization problem, and an improved immune algorithm (IIA) is proposed to solve it. In the experimental stage, a series of simulated experiments are conducted on nine datasets with different levels of complexity. The results show that the proposed algorithm increases the computational efficiency and effectiveness. Moreover, an empirical study is carried out to validate the proposed approach from a pedagogical view. Compared with a self-selection based approach and the other evolutionary algorithm based approaches, the proposed approach produces better outcomes in terms of learners’ homework, final exam grades and satisfaction.
Cun Hui,Siyan Wang,Mingliang Liu,Weichi Han,Ran Hai 한국강구조학회 2022 International Journal of Steel Structures Vol.22 No.4
In order to study the infl uence of stiff eners on the wind resistance performance of the aluminum panel curtain wall unit (APCU), two APCU specimens with diff erent structures were designed and fabricated. The deformations under positive and negative wind loads were studied. The defl ection, stress, and mode were analyzed by fi nite element software. The results indicate that the stiff eners and the aluminum panels work well with each other under positive and negative wind pressure. Adequately designed stiff eners can eff ectively improve the wind resistance of the APCU, reduce the deformation of the aluminum curtain wall, and make the stress distribution uniform. The shedding of aluminum welding nails has a signifi cant impact on the overall wind resistance performance of the component. The aluminum panels and the stiff eners reduce the wind resistance performance of the APCU when the aluminum panels and stiff eners are not fi rmly connected. The modal analysis points out the weak point of the specimens. The fi nite element calculations and analysis results are consistent with the actual measurement results. The research results can guide engineering applications. The research in this paper can provide guidance for wind resistance of aluminum plate, defl ection deformation of stiff ening rib, failure of aluminum plate under wind pressure and engineering research of aluminum curtain wall system under wind load.
( Xiao ),( Cun Liu ),( Pengfei Jiang ),유태경 한국공업화학회 2020 한국공업화학회 연구논문 초록집 Vol.2020 No.-
The core-shell Pd@Pt nanocubes were successfully designed as concave structure by a galvanic replacement, one-step process. In this study, we chose the ascorbic acid and citric acid as the different strength reduction to facile control the Pd@Pt crystal growth. Firstly, the Pd nanocube formed using ascorbic acid as stronger reducing agent with accuracy control amount. In general, the different intensities reducing agent ascorbic acid and citric acid are the key-points to kinetic control the concave structure formed and the Br<sup>-</sup> play the major role to enhance the galvanic replacement reaction between Pt(II)Cl<sub>4</sub><sup>2-</sup>and Pd. In addition, the concave cubic Pd@Pt nanocrystal exhibited higher electrochemical performance compare to commercial Pt electrocatalyst toward formic acid oxidation reaction.
유암 Liu Yan,리라이춘 Li Lai-cun,루징쉬엔,쉬멍,정양권 한국전자통신학회 2022 한국전자통신학회 논문지 Vol.17 No.1
컴퓨터 비전 연구에서 2차원 인체 자세는 매우 광범위한 연구 방향으로 특히 자세 추적과 행동 인식에서 유의미한 분야다. 인체 자세 표적 획득은 이미지에서 인체 목표를 정확히 찾는 방법을 연구하는 것이 핵심이며 인체 자세 인식은 인공지능(AI)에 적용하는 한편 일상생활에 활용되고 있어서 매우 중요한 연구의의가 있다. 자세 인식 효과의 우수성은 인식 과정의 성공률과 정확도에 의해 결정되기 때문에 인식률에서 인체 자세 인식의 중요성을 더 잘 보여준다. 본 연구에서 인체 자세 인식에서는 딥러닝용 종합 데이터셋인 MS COCO를 이용하여 인체를 17개의 키 포인트로 구분하였다. 또한, 주요 특징에 대한 세분화 마스크(segmentation mask) 방법을 사용하여 정확성을 개선하였다. 신경망 모델을 설계하고 간단한 단계별 학습부터 효율적인 학습에 이르기까지 많은 수의 표본을 학습시켜 좋은 정확도를 얻을 수 있었다.