The Historical Heritage of Chinese Koreans

Ma, Qicheng 경북대학교 환태평양연구소 1992 環太平洋硏究 Vol.5 No.-

재중한인의 조상은 17세기초반 지금의 동부 요녕성으로 이주한 한반도의 이주민이다. 19세기 중반 전쟁과 기근, 봉건압제와 일본제국주의의 침입으로 이주는 극에 달했다. 이들은 주로 중국의 동북 3성(요녕성·길림성·흑룡강성)의 국경지대에 정착했다. 여러해동안 한민족과 몽골족 그리고 여타민족과 조화롭게 생활하여 아주 좋은 이웃이 되었다. 중국을 새로운 고향으로 삼은 최초의 이주한인들은 고대중국에 새로운 피와 활력을 더했다. 효과적인 영농의 선도자로서 지방한족과 만주족, 기타 민족과 더불어 땅을 경작하고 개간했다. 중국 동북부의 많은 지역에 벼농사를 도입한 것도 한인들이었다. 동북3성의 벼농사에 대한 기록에 따르면 한인농부들은 1864년쯤에 벼를 심기 시작했다. 그러나 벼수확에 성공한 것은 1875년이었다. 이후 수십년동안 이 새로운 영농체제는 여타 지역으로 급속히 퍼져나갔다. 재중한인은 한족과 여타민족으로부터 배우면서 그들 자신의 민족문화와 예술을 발전시킴으로써 중국문화를 풍부하게 했다. 한인들은 많은 뛰어난 학자·시인·화가·작가·예술가 등을 배출했다. 그들의 작품은 중국 문화적 유산의 핵심이 되었다. 1930년 중국 동북부가 일본에 점령된 이후 중국내 한인들과 여타 민족들은 중국 공산당주위로 모여 광범위한 반일투쟁에 관여했다. 중국내 한인들은 중국 근대역사의 주요혁명적 활동에도 참가했다. 중국내 한인은 또한 교육에도 커다란 중요성을 부여, 한인 정착촌이 세워지는 곳이면 어디서나 학교가 세워졌다. 현대과학과 문화의 도입으로 1906년 한인들은 중국 최초의 현대식 한인학교를 열었다. 중국내 한인은 역사적 유산은 고립속에서 나온 것이 아니라 전체로서 중국의 역사적 유산과 분리될 수 없는 일부이다. 한인은 중국의 위대한 역사를 창조하기 위한 중국 민족공동의 노력에 합류했다.

Biological N₂ Fixation and its Main Contributor in a Flooded Rice-soil System by a Novel Air-tight 15N₂ Incubation Technique under Natural Sunshine for 70D

Qicheng Bei,Gang Liu,Haoye Tang,Cadisch Georg,Rasche Frank,Zubin Xie 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6

Dissolution Kinetics of Cerussite in Acidic Sodium Chloride Solutions

Qicheng Feng,Shuming Wen,Yijie Wang,Wenjuan Zhao,Jian Liu 대한화학회 2015 Bulletin of the Korean Chemical Society Vol.36 No.4

The dissolution kinetics of cerussite in acidic sodium chloride solutions was investigated with respect to experimental variables such as particle size, stirring speed, sodium chloride concentration, hydrochloric acid concentration, and reaction temperature. Results show that leaching reagent concentration and reaction temperature have significant effects on the extraction of lead, whereas particle size and stirring speed have a relatively moderate effect on the leaching rate. The dissolution process followed the kinetic law of the shrinking core model, and a corresponding mixed control model was found suitable to represent the rate-controlling step. The apparent activation energy of this process was determined to be 40.46 kJ/mol, and a corresponding dissolution kinetic equation is also presented to describe the dissolution reaction.

Copper sulfide species formed on malachite surfaces in relation to flotation

Qicheng Feng,Wenjuan Zhao,Shuming Wen,Qinbo Cao 한국공업화학회 2017 Journal of Industrial and Engineering Chemistry Vol.48 No.-

The interaction between sulfide ion species and malachite surfaces in relation toflotation was studied inthis work using X-ray photoelectron spectroscopy analysis, surface adsorption, zeta potentialdetermination, and micro-flotation experiments. Results demonstrate that theflotation recovery ofmalachite was correlated with the contents of sulfidization products and their active components as wellas the residual sulfide ion species in pulp solutions. The sulfidization product was composed of cuprousmonosulfide, cuprous disulfide, and cuprous polysulfide. Among them, disulfide and polysulfidepositively contributed to the activity of the product.

Biological N₂ Fixation and its Main Contributor in a Flooded Rice-soil System by a Novel Air-tight <SUP>15</SUP>N₂ Incubation Technique under Natural Sunshine for 70D

Qicheng Bei,Gang Liu,Haoye Tang,Cadisch Georg,Rasche Frank,Zubin Xie 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6

Large-scale nanometer-thickness graphite films synthesized on polycrystalline Ni foils by two-stage chemical vapor deposition process

Hu, Qicheng,Kim, Seul-Gi,Shin, Dong-Wook,Kim, Tae-Sung,Nam, Ki-Bong,Kim, Mun Ja,Chun, Hwan-Chul,Yoo, Ji-Beom Elsevier 2017 Carbon Vol.113 No.-

<P>In this work, large-scale (120 x 120 mm) nanometer-thick graphite films (NGFs) were synthesized on polycrystalline Ni foils using a 'two-stage' chemical vapor deposition (CVD) process. An intermediate cooling process was included in the CVD process; this process affected the isothermal graphene growth, which is explained using a growth model. We mainly studied a graphite film with the thickness of similar to 40 nm and the good thickness uniformity was characterized by atomic force microscopy (AFM), Raman spectroscopy and extreme ultraviolet (EUV) mapping. The graphite formed on the Ni grain boundary was analyzed by transmission electron microscopy (TEM). The relationships between the thickness, optical and electrical properties of the NGF and growth temperature were also studied. (C) 2016 Elsevier Ltd. All rights reserved.</P>

A way to improve the uniformity of nanometer-thickness graphite film synthesized on polycrystalline Ni substrate: From large grain to small grain

Hu, Qicheng,Kim, Seul-Gi,Nam, Ki-Bong,Yeo, Jin-Ho,Kim, Tae-Sung,Kim, Mun-Ja,Yoo, Ji-Beom Elsevier 2019 Carbon Vol.144 No.-

<P><B>Abstract</B></P> <P>A pellicle is an important part of mask protection in extreme ultraviolet (EUV) lithography, and nanometer-thickness graphite film (NGF) is an ideal material for pellicle fabrication. In our previous work, we synthesized large-scale NGF on polycrystalline Ni foil by a “two-stage” chemical vapor deposition process with an EUV transmittance of 79 ± 2%. The nonuniformity of EUV transmittance is mainly caused by the thicker NGF formed on the Ni grain boundaries (GBs). Here, we present a simple and cost-effective method to weaken the effects of the Ni GBs by sputtering thin Ni films onto Ni foils. The Ni film provides smaller grains with high GB density so that the non-uniformity of NGFs caused by Ni GBs was averaged out by the large EUV beam size. We investigated the grain growth of Ni films with different thicknesses, and 1-μm Ni film/Ni foil had the minimum average grain size of ∼6 μm. The NGF synthesized on it showed a higher EUV transmittance with better uniformity of 86.3 ± 0.9%. Fullerenic CC and sp<SUP>3</SUP> CC bonding were detected by the X-ray photoelectron spectroscopy, and the NGF on the Ni GBs showed a higher defect density.</P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

In-depth Recommendation Model Based on Self-Attention Factorization

Hongshuang Ma,Qicheng Liu 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.3

Rating prediction is an important issue in recommender systems, and its accuracy affects the experience of the user and the revenue of the company. Traditional recommender systems use Factorization Machines for rating predictions and each feature is selected with the same weight. Thus, there are problems with inaccurate ratings and limited data representation. This study proposes a deep recommendation model based on self-attention Factorization (SAFMR) to solve these problems. Thismodel uses Convolutional Neural Networks to extract features from user and item reviews. The obtained features are fed into self-attention mechanism Factorization Machines, where the self-attention network automatically learns the dependencies of the features and distinguishes the weights of the different features, thereby reducing the prediction error. The model was experimentally evaluated using six classes of dataset. We compared MSE, NDCG and time for several real datasets. The experiment demonstrated that the SAFMR model achieved excellent rating prediction results and recommendation correlations, thereby verifying the effectiveness of the model.

Parallel Algorithm of Improved FunkSVD Based on Spark

( Xiaochen Yue ),( Qicheng Liu ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.5

In view of the low accuracy of the traditional FunkSVD algorithm, and in order to improve the computational efficiency of the algorithm, this paper proposes a parallel algorithm of improved FunkSVD based on Spark (SP-FD). Using RMSProp algorithm to improve the traditional FunkSVD algorithm. The improved FunkSVD algorithm can not only solve the problem of decreased accuracy caused by iterative oscillations but also alleviate the impact of data sparseness on the accuracy of the algorithm, thereby achieving the effect of improving the accuracy of the algorithm. And using the Spark big data computing framework to realize the parallelization of the improved algorithm, to use RDD for iterative calculation, and to store calculation data in the iterative process in distributed memory to speed up the iteration. The Cartesian product operation in the improved FunkSVD algorithm is divided into blocks to realize parallel calculation, thereby improving the calculation speed of the algorithm. Experiments on three standard data sets in terms of accuracy, execution time, and speedup show that the SP-FD algorithm not only improves the recommendation accuracy, shortens the calculation interval compared to the traditional FunkSVD and several other algorithms but also shows good parallel performance in a cluster environment with multiple nodes. The analysis of experimental results shows that the SP-FD algorithm improves the accuracy and parallel computing capability of the algorithm, which is better than the traditional FunkSVD algorithm.

Crystalline Bilayer Graphene with Preferential Stacking from Ni-Cu Gradient Alloy

Gao, Zhaoli,Zhang, Qicheng,Naylor, Carl H.,Kim, Youngkuk,Abidi, Irfan Haider,Ping, Jinglei,Ducos, Pedro,Zauberman, Jonathan,Zhao, Meng-Qiang,Rappe, Andrew M.,Luo, Zhengtang,Ren, Li,Johnson, Alan T. Ch American Chemical Society 2018 ACS NANO Vol.12 No.3

<P>We developed a high-yield synthesis of highly crystalline bilayer graphene (BLG) with two preferential stacking modes using a Ni-Cu gradient alloy growth substrate. Previously reported approaches for BLG growth include flat growth substrates of Cu or Ni-Cu <I>uniform</I> alloys and “copper pocket” structures. Use of flat substrates has the advantage of being scalable, but the growth mechanism is either “surface limited” (for Cu) or carbon precipitation (for uniform Ni-Cu), which results in multicrystalline BLG grains. For copper pockets, growth proceeds through a carbon back-diffusion mechanism, which leads to the formation of highly crystalline BLG, but scaling of the copper pocket structure is expected to be difficult. Here we demonstrate a Ni-Cu gradient alloy that combines the advantages of these earlier methods: the substrate is flat, so easy to scale, while growth proceeds by a carbon back-diffusion mechanism leading to high-yield growth of BLG with high crystallinity. The BLG layer stacking was almost exclusively Bernal or twisted with an angle of 30°, consistent with first-principles calculations we conducted. Furthermore, we demonstrated scalable production of transistor arrays based crystalline Bernal-stacked BLG with a band gap that was tunable at room temperature.</P> [FIG OMISSION]</BR>