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Jichao Wang,Jichao Wang,Cheng Chen,Philippe M. Heynderickx,Soumyajit Roy,Francis Verpoort 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.105 No.-
An efficient and facile approach to synthesize a bi-functional electrocatalyst via combining carbon foamwith cobalt-centered zeolitic imidazolate framework (ZIF-67) is reported. The carbon foam was synthesizedvia dehydration of sugar utilizing zinc nitrate, forming Co3ZnC in the carbon matrix. To obtain Cohybridized and Co particles covered with carbon nanotubes embedded in a carbon matrix (Co-Zn-CNTs), physical mixing of both defines the critical point after pyrolysis. Higher content of N-related speciesand transition metal species in polyvalent states and well-grown multi-wall carbon nanotubes forcharge transfer are achieved after the pyrolysis process. The obtained Co-Zn-CNTs catalyst was employedas cathode and anode for overall water splitting (HER and OER) and showed excellent performances. Thisdevelopment offers a low-cost and straightforward strategy to synthesize catalyst material for large-scalefuel cells and water splitting technologies. This development affords a precise method for effectivelyimproving the electrocatalyst performance derived from the ZIF-67 precursor.
A Hybrid of Smartphone Camera and Basestation Wide-area Indoor Positioning Method
( Jichao Jiao ),( Zhongliang Deng ),( Lianming Xu ),( Fei Li ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.2
Indoor positioning is considered an enabler for a variety of applications, the demand for an indoor positioning service has also been accelerated. That is because that people spend most of their time indoor environment. Meanwhile, the smartphone integrated powerful camera is an efficient platform for navigation and positioning. However, for high accuracy indoor positioning by using a smartphone, there are two constraints that includes: (1) limited computational and memory resources of smartphone; (2) users` moving in large buildings. To address those issues, this paper uses the TC-OFDM for calculating the coarse positioning information includes horizontal and altitude information for assisting smartphone camera-based positioning. Moreover, a unified representation model of image features under variety of scenarios whose name is FAST-SURF is established for computing the fine location. Finally, an optimization marginalized particle filter is proposed for fusing the positioning information from TC-OFDM and images. The experimental result shows that the wide location detection accuracy is 0.823 m (1σ) at horizontal and 0.5 m at vertical. Comparing to the WiFi-based and ibeacon-based positioning methods, our method is powerful while being easy to be deployed and optimized.
Detection and Control of Variation Source for a Production Unit
( Jichao Xu ),( Hasan Akpolat ) 한국품질경영학회 2003 The Asian Journal on Quality Vol.4 No.1
Variation is the archenemy of quality. To reduce or control the variation in a complex production unit, firstly we need to identify the location of the root cause of the variation. This paper discusses the detection of variability and the techniques used for reduction of variation for a production unit consisting of many processes. In the first part of this paper, the background of variability detection in production systems is introduced which is then followed by a weighted network corresponding to correlation matrix of all processes. Based on the network and clustering criterion of maximum spanning tree, a classification of all processes is derived. Furthermore, the variation of each process in a class is determined by residual analysis. In the last part, the use of methods of robust design for the processes with a larger variability is discussed.
Task Scheduling Model of Cloud Computing based on Firefly Algorithm
Jichao Hu,Yue Fu 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.8
We proposed a task scheduling in cloud computing based on intelligence firefly algorithm aimed at the disadvantages of cloud computing task scheduling. Firstly, on the basis of cloud model, used intelligence firefly algorithm with strong ability of global searching to find the better solution of cloud computing task scheduling then turned the better solution into the initial pheromone of improved firefly algorithm, and found out the cloud computing task scheduling and the algorithm’s global optimal solution through improved firefly information communications and feedbacks. Finally, made comparison test of the three benchmark function on the basis of MATLAB, the results showed, compared with traditional intelligence firefly algorithms, the improved algorithm can preferably allocate the resources in cloud computing model, the effect of prediction model time is more close to actual time, can efficiently limit the possibility of falling into local convergence, the optimal solution’s time of objective function value is shorten which meet the user’s needs more.
Jichao Guo,Jun Zheng,Qing Lü,Zhipeng Xiao,Tiexin Liu 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.10
Discrete fracture network (DFN) simulation is the basis of studying the properties of a rock mass. An important premise of constructing three-dimensional (3-D) DFNs is to ensure that the fracture intensity (P32) of the simulated rock mass equals to that of the real one. In fact, the natural fracture shapes are various, and we can only obtain one-dimensional (1-D) and two-dimensional (2-D) measurements of a rock mass and usually infer 3-D DFNs based on 1-D and 2-D measurements. The following question would be induced: whether the DFNs with the same P32 and different shapes have similar 2-D trace information. Hence, a series of hypothetical 3-D elliptical DFNs with different values of long-short axis length ratio ke are constructed, and disc models are used to represent them. The algorithms of obtaining traces on sampling windows concerning circular and elliptical fractures are developed. The results show that as the values of ke increase, the error rate of the trace numbers and lengths between the elliptical fractures and simulated disc models on the same sampling windows increases. Moreover, because of the significant impact of fracture shape, the Accuracy representation Index is proposed to better evaluate which model is more appropriate for constructing DFNs.
주계초(Zhou, Jichao),신봉조(Shin, Bong-Jo),송한정(Song, Han-Jung) 한국산학기술학회 2012 한국산학기술학회논문지 Vol.13 No.9
본 논문에서는 암호통신을 위한 전압 제어형 카오스 신호 발생회로를 설계하였다. 제안하는 회로는 3개의 MOS 소자로 이루어지는 비선형 함수 블록과 소스 팔로워를 버퍼로 하는 이산형 카오스 신호 발생회로로, 비겹침 2 상 클럭으로 구동되며, 2개의 제어전압 단자를 가진다. 제안된 회로는 SPICE 모의실험을 통하여 시간특성, 주파수특 성 및 분기도 등의 여러 가지 카오스 다이내믹스가 생성됨을 확인하였다. This paper presents a chaotic circuit with voltage controllability for secure communication applications. The proposed circuit which has two control voltages consists of the nonlinear function block(NFB) with three MOS transistors, one source follower and non-overlapping two-phase clock generator for sample and hold. By SPICE simulation, chaotic dynamics such as time waveform, frequency analysis and bifurcations were analyzed. SPICE results showed that proposed circuit can make various chaotic signals by control voltage.