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        • KCI등재

          Electromigration with enhanced green emission in the titanium dioxide nanotube/graphene composite

          Tri Tuan Nguyen,Tran Thanh Tung,Dusan Losic,Luu Thi Lan Anh,Le Hong Phuc,Xuan Sang Nguyen 한국물리학회 2019 Current Applied Physics Vol.19 No.10

          One of the most studied photoluminescence emission peaks of anatase titanium dioxide (TiO2) is green, located at about 520 nm, which is assigned to the radiative recombination between a mobile electron in the conduction band and oxygen vacancy defect as a trapped hole in the bandgap. Composite materials of TiO2 with graphene are normally shown by the gradual quenching of photoluminescence intensity as a result of carrier lifetime extension, which is important to enhance photocatalytic activity. Herein we report an observation of the intensity enhancement of the green PL emission in a composite TiO2 nanotube (TNT) and graphene produced through facile hydrothermal synthesis. The heterojunction formation of graphene and TNT makes the excited photoelectrons easy to diffuse from TNT to graphene. Hence, the recombination rate of mobile electrons in graphene and trapped holes located on the nanotube surface is enhanced due to the high mobility of electrons in graphene.

        • KCI등재

          ON COATOMIC MODULES AND LOCAL COHOMOLOGY MODULES WITH RESPECT TO A PAIR OF IDEALS

          Tran, Tuan Nam,Nguyen, Minh Tri Korean Mathematical Society 2017 대한수학회지 Vol.54 No.6

          In this paper, we show some results on the vanishing and the finiteness of local cohomology modules with respect to a pair of ideals. We also prove that Supp($H^{dim\;M-1}_{I,J}(M)/JH^{dim\;M-1}_{I,J}(M)$) is a finite set.

        • KCI등재

          Evaluating Load-Carrying Capacity of Short Composite Beam Using Strain-Hardening HPFRC

          Duy-Liem Nguyen,Vu-Tu Tran,Ngoc-Thanh Tran,Tri-Thuong Ngo,Manh-Tuan Nguyen 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.4

          The main goal of this study was to develop the short composite beams using strain-hardening fiber-reinforced concrete (S_HPFRC) and conventional concrete (CC) together. Firstly, the sensitivity of the hybrid fiber system to the enhancement of mechanical properties of plain high performance concrete (P_mortar) was experimentally studied. The ranking of the mechanical properties in terms of sensitive coefficient was observed as follows: direct tensile > splitting tensile > compressive. Next, the responses of short composite beams with various thicknesses of S_HPFRC were investigated under a three-point bending test (3PBT). Six beams with no reinforcement (type A) and six beams with reinforcement were tested (type B) with their identical dimensions of 150 × 150 × 300 mm (depth × width × span length). The compressive strength of S_HPFRC and CC were about 80.65 MPa and 21.12 MPa, respectively. Most of the composite beams were observed to fail in shear mode. And, there was a favorable effect on enhancing the load-carrying capacity of a beam as S_HPFRC was placed at a critical tensile zone. Finally, based on the test data, the analytical equations were proposed for the purpose of predicting shear resistance of the S_HPFRC - CC beam.

        • SCIESCOPUSKCI등재

          SOME FINITENESS RESULTS FOR CO-ASSOCIATED PRIMES OF GENERALIZED LOCAL HOMOLOGY MODULES AND APPLICATIONS

          Do, Yen Ngoc,Nguyen, Tri Minh,Tran, Nam Tuan Korean Mathematical Society 2020 대한수학회지 Vol.57 No.5

          We prove some results about the finiteness of co-associated primes of generalized local homology modules inspired by a conjecture of Grothendieck and a question of Huneke. We also show some equivalent properties of minimax local homology modules. By duality, we get some properties of Herzog's generalized local cohomology modules.

        • KCI등재

          데이터 공학 : 가중 윈도우를 통한 사용자 이력 기반 추천 시스템

          황성민 ( Sungmin Hwang ),( Rajashree Sokasane ),( Hiep Tuan Nguyen Tri ),김경백 ( Kyungbaek Kim ) 한국정보처리학회 2015 정보처리학회논문지. 소프트웨어 및 데이터 공학 Vol.4 No.6

          온라인에서 물품을 구매하고자 할 때, 추천 시스템은 사용자에 맞춘 추천을 하게 되며, 사용자가 관심을 가질만한 새로운 물품까지 추천해준다. Collaborative filtering 등, 여러 모델들이 보다 정확한 추천을 위해 제안되었으며, 활발히 연구되고 있다. 그중 Collaborative filtering은 사용자 선호도를 예측하는 데 좋은 결과를 보여주지만 사용자 개체 및 데이터가 부족한 환경에서는 사용자들끼리의 비교를 힘들게하여 collaborative filtering이 적용되기 힘들게 한다. 새로 시작하는 시스템이거나 사용자 개체 수가 적은 경우, 문제가 발생하며, 이와 같은 상황에서는 content-based filtering이 사용된다. 하지만 content-based filtering은 비슷한 물건만 추천해주거나, 사용자 성향 변화를 제대로 반영하지 못하는 등의 여러 단점을 가지고 있다. 이러한 한계점들을 극복하기 위해서 사용자 구매 기록에 가중 윈도우를 적용하고, 사용자 구매 기록 분석을 통한 윈도우 가중치 조정을 수행하는 시스템을 제안한다. 사용자 성향의 변화에 민감하게 반응할 수 있고, 이를 기반으로 무의미한 추천을 제거하며, 사용자가 찾기 어려운 관련 물품 추천이 가능한 새로운 상품도 추천하는 시스템을 제시하며, 언급된 사용자 개체 및 데이터가 부족한 환경에서의 동작을 검증하기 위해, 스타트업 무역업체에서 제공된 상품정보 기반 실험을 통해 제안된 시스템의 동작을 검증하였다. When we buy items in online stores, it is common to face recommended items that meet our interest. These recommendation system help users not only to find out related items, but also find new things that may interest users. Recommendation system has been widely studied and various models has been suggested such as, collaborative filtering and content-based filtering. Though collaborative filtering shows good performance for predicting users preference, there are some conditions where collaborative filtering cannot be applied. Sparsity in user data causes problems in comparing users. Systems which are newly starting or companies having small number of users are also hard to apply collaborative filtering. Content-based filtering should be used to support this conditions, but content-based filtering has some drawbacks and weakness which are tendency of recommending similar items, and keeping history of a user makes recommendation simple and not able to follow up users preference changes. To overcome this drawbacks and limitations, we suggest weighted window assisted user history based recommendation system, which captures user’s purchase patterns and applies them to window weight adjustment. The system is capable of following current preference of a user, removing useless recommendation and suggesting items which cannot be simply found by users. To examine the performance under user and data sparsity environment, we applied data from start-up trading company. Through the experiments, we evaluate the operation of the proposed recommendation system.

        • SCOPUSKCI등재

          Impact of Vocational Training on Wages of Ethnic Minority Labors in Vietnam

          DO, Ha Thi Hai,MAI, Cuong Ngoc,MAI, Anh Ngoc,NGUYEN, Nui Dang,PHAM, Toan Ngoc,LE, Huong Thi Thu,TRAN, Manh Dung,VU, Tri Tuan Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.6

          '스콜라' 이용 시 소속기관이 구독 중이 아닌 경우, 오후 4시부터 익일 오전 7시까지 원문보기가 가능합니다.

          This research investigates the impact of vocational training on wages of ethnic minority labors in emerging countries; Vietnam is the case study. The study uses secondary data from 2014 to 2018 collected through Vietnam Household Living Standards Surveys (VHLSS) conducted by the General Statistics Office. In order to analyze the impact of vocational training on wages of ethnic minority areas in Vietnam, this research creates ethnic area variables. According to Vietnamese regulations, ethnic areas are communes of 51 different provinces, inhabited by ethnic minority people. The statistics from VHLSS in 2018, show that the proportion of labors of working age with a certificate was 22.5%. The research employs Heckman Sample Selection Model to estimate the impact of vocation training on wage of labors in ethnic minority areas. The results show that vocational training plays a crucial role in improving the wages of ethnic minorities and has a positive impact. However, apart from the achieved outcomes, vocational training and job creation for ethnic minorities are not without limitations and shortcomings. Based on the findings, some recommendations to ethnic minority labors, enterprises and the Government are proposed to encourage participation in vocational training for the purpose of promoting the efficiency of the labor market.

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