{"id":33859,"date":"2020-10-26T23:38:42","date_gmt":"2020-10-26T16:38:42","guid":{"rendered":"https:\/\/tadasha.com\/scientific-research-articles-2019-2020\/"},"modified":"2023-12-06T08:29:54","modified_gmt":"2023-12-06T01:29:54","slug":"scientific-research-articles-2019-2020","status":"publish","type":"post","link":"https:\/\/tadasha.com\/en\/scientific-research-articles-2019-2020\/","title":{"rendered":"Scientific Research Articles 2019-2020"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
STT<\/th>\nAuthor<\/th>\nContent<\/th>\nScience and Technology Activities<\/th>\nJournal\/Conference name<\/th>\nStat\/level<\/th>\nRole code<\/th>\nDownload<\/th>\n<\/tr>\n
1<\/td>\nTS. V\u0103n Thi\u00ean Ho\u00e0ng<\/td>\nOutage Performance Analysis of Non-Orthogonal Multiple Access systems with RF energy harvesting<\/td>\n\u0110\u0103ng t\u1ea1p ch\u00ed c\u00f3 ch\u1ec9 s\u1ed1 Q2 trong ISI<\/td>\nInternational Journal of Electrical and Computer Engineering (IJECE)<\/td>\n<\/td>\nT\u00e1c gi\u1ea3 ch\u00ednh<\/td>\n
<\/td>\nAbstract: Non-orthogonal multiple access (NOMA) has drawn enormous attention from the research community as a promising technology for future wireless communications with increasing demands of capacity and throughput. Especially, in the light of fifth- generation (5G) communication where multiple Internet-of-Things (IoT) devices are connected, the application of NOMA to indoor wireless networks has become more interesting to study. In view of this, we investigate the NOMA technique in energy harvesting (EH) half-duplex (HD) decode-and-forward (DF) power-splitting relaying (PSR) networks over indoor scenarios which are characterized by log-normal fading channels. The system performance of such networks is evaluated in terms of outage probability (OP) and total throughput for delay-limited transmission mode whose ex-pressions are derived herein. In general, we can see in details how different systemparameters affect such networks thanks to the results from Monte Carlo simulations. For illustrating the accuracy of our analytical results, we plot them along with the theoretical ones for comparison.<\/em><\/td>\n<\/tr>\n
2<\/td>\nTS. V\u0103n Thi\u00ean Ho\u00e0ng<\/td>\nOutage Probability Analysis for Hibrid TSR-PSR Based SWIPT Systems over Log-normal Fading Channels<\/td>\n\u0110\u0103ng t\u1ea1p ch\u00ed c\u00f3 ch\u1ec9 s\u1ed1 Q2 trong ISI<\/td>\nInternational Journal of Electrical and Computer Engineering (IJECE)<\/td>\n<\/td>\nT\u00e1c gi\u1ea3 ch\u00ednh<\/td>\n
<\/td>\nAbstract: Employing simultaneous information and power transfer (SWIPT) technology in coop erative relaying networks has drawn considerable attention from the research community. We can find several studies that focus on Rayleigh and Nakagami-m fading chan-nels, which are used to model the outdoor scenarios. Differing itself from several exist- ing studies, this study is conducted in the context of indoor scenario modelled by log- normal fading channels. Specifically, we investigate a so-called hybrid time switch- ing relaying (TSR) – power splitting relaying (PSR) protocol in an energy-constrained cooperative amplify-and-forward (AF) relaying network. We evaluate the system per-formance with outage probability (OP) by analytically expressing and simulating it with Monte Carlo method. The impact of power-splitting (PS), time-switching (TS) and signal-to-noise ratio (SNR) on the OP was investigated. The simulation results are relatively accurate because they align well with the theory. We can draw from this study that the outage performance of the proposed hybrid TSR-PSR scheme outper- forms either the TSR or PSR schemes.<\/em><\/td>\n<\/tr>\n
3<\/td>\nTS. V\u0103n Thi\u00ean Ho\u00e0ng
\nKS. Nguy\u1ec5n Ho\u00e0ng Duy
\nKS. Nguy\u1ec5n Tr\u1ecdng Minh H\u1ed3ng Ph\u01b0\u1edbc<\/td>\n		Gi\u00e1m s\u00e1t an ninh m\u1ea1ng b\u1eb1ng ph\u01b0\u01a1ng ph\u00e1p ph\u00e2n t\u00edch t\u1ec7p tin nh\u1eadt k\u00fd h\u1ec7 th\u1ed1ng<\/td>\n\u0110\u0103ng t\u1ea1p ch\u00ed trong n\u01b0\u1edbc<\/td>\nVi\u1ec7t Nam h\u1ed9i nh\u1eadp<\/td>\nISSN: 2525-250X<\/td>\nT\u00e1c gi\u1ea3 ch\u00ednh<\/td>\n
<\/td>\nAbstract: Gi\u00e1m s\u00e1t an ninh m\u1ea1ng ng\u00e0y c\u00e0ng \u0111\u01b0\u1ee3c quan t\u00e2m nghi\u00ean c\u1ee9u v\u00e0 \u00e1p d\u1ee5ng cho vi\u1ec7c theo d\u00f5i m\u1ed9t h\u1ec7 th\u1ed1ng m\u1ea1ng m\u00e1y t\u00ednh, xem x\u00e9t c\u00e1c th\u00e0nh ph\u1ea7n ho\u1ea1t \u0111\u1ed9ng ch\u1eadm l\u1ea1i ho\u1eb7c kh\u00f4ng ho\u1ea1t \u0111\u1ed9ng v\u00e0 th\u00f4ng b\u00e1o cho qu\u1ea3n tr\u1ecb vi\u00ean v\u1ec1 c\u00e1c m\u1ed1i \u0111e do\u1ea1 t\u1eeb b\u00ean ngo\u00e0i ho\u1eb7c c\u00e1c v\u1ea5n \u0111\u1ec1 g\u00e2y ra b\u1edfi c\u00e1c m\u00e1y ch\u1ee7 b\u1ecb qu\u00e1 t\u1ea3i, h\u01b0 h\u1ecfng. T\u1eeb \u0111\u00f3, ng\u01b0\u1eddi qu\u1ea3n tr\u1ecb h\u1ec7 th\u1ed1ng s\u1ebd c\u00f3 c\u00e1c bi\u1ec7n ph\u00e1p gi\u1ea3i quy\u1ebft s\u1ef1 c\u1ed1, ph\u00f2ng ng\u1eeba v\u00e0 ng\u0103n ch\u1eb7n nh\u1eefng h\u00e0nh vi x\u00e2m nh\u1eadp m\u1ea1ng tr\u00e1i ph\u00e9p. Ph\u01b0\u01a1ng ph\u00e1p ph\u00e2n t\u00edch t\u1ec7p tin nh\u1eadt k\u00fd h\u1ec7 th\u1ed1ng \u0111\u00f3ng vai tr\u00f2 quan tr\u1ecdng trong vi\u1ec7c gi\u00e1m s\u00e1t an ninh m\u1ea1ng. B\u00e0i b\u00e1o \u0111\u00e3 \u0111\u1ec1 c\u1eadp \u0111\u1ebfn vi\u1ec7c gi\u00e1m s\u00e1t an ninh m\u1ea1ng b\u1eb1ng ph\u01b0\u01a1ng ph\u00e1p ph\u00e2n t\u00edch t\u1ec7p tin nh\u1eadt k\u00fd h\u1ec7 th\u1ed1ng. C\u00e1c k\u1ebft qu\u1ea3 th\u1ef1c nghi\u1ec7m minh ch\u1ee9ng ph\u01b0\u01a1ng ph\u00e1p \u0111\u1ec1 xu\u1ea5t cho hi\u1ec7u n\u0103ng th\u1ef1c hi\u1ec7n cao, c\u1ea3 v\u1ec1 \u0111\u1ed9 ch\u00ednh x\u00e1c v\u00e0 th\u1eddi gian x\u1eed l\u00fd<\/em><\/td>\n<\/tr>\n
4<\/td>\nTS. V\u0103n Thi\u00ean Ho\u00e0ng<\/td>\nPalm Vein Recognition Using Enhanced Symmetry Local Binary Pattern and SIFT Features<\/td>\n\u0110\u0103ng t\u1ea1p ch\u00ed qu\u1ed1c t\u1ebf c\u00f3 ch\u1ec9 s\u1ed1<\/td>\nT\u1ea1p ch\u00ed 2019 19th International Symposium on Communications and Information Technologies (ISCIT)<\/td>\nISSN: 2643-6140<\/td>\nT\u00e1c gi\u1ea3 ch\u00ednh<\/td>\n
<\/td>\nAbstract: Recently, palm vein recognition is new biometric technology with a high degree of privacy and security because this technique uses the blood vessels under the palm skin to establish identification. This paper proposes a novel palm vein feature extraction method for contactless palm vein recognition based on combining enhanced center-symmetric local binary pattern (ECS-LBP) with SIFT, called EL-SIFT. The proposed method includes two steps: (1) applying ECS-LBP to detect stable and clear palm-vein lines; and (2) extracting SIFT feature on palm vein lines image. The experimental results on the public contactless palm vein databases (CASIA Multi-spectral Palm vein Image Database V1.0) show that our proposed method is accurate and robust for palm vein recognition in comparing with other approaches in the literature.<\/em><\/td>\n<\/tr>\n
5<\/td>\nTS. V\u0103n Thi\u00ean Ho\u00e0ng<\/td>\nPalmprint Recognition Using Discriminant Local Line Directional Representation<\/td>\n\u0110\u0103ng t\u1ea1p ch\u00ed<\/td>\nAdvances in Intelligent Systems and Computing 1121<\/td>\nISBN: 978-3-030-38363-3<\/td>\nT\u00e1c gi\u1ea3 ch\u00ednh<\/td>\n
<\/td>\n<\/td>\nAbstract: Palmprint is a new biometric feature for personal identification with a high degree of privacy and security. In this paper, we propose the palmprint feature extraction method which combines the direction-based method (Local line direction pattern) and learning-based method (two-directional two-dimensional linear discriminant analysis ((2D) 2 LDA)) to get the high discriminant direction based features, so-called Discriminant local line Directional Representation (DLLDR). First, the algorithm computes the LLDP features with two strategies of encoding multi-directions. Then,(2D) 2 LDA is applied to extract DLLDR features with higher discriminant and lower-dimensional from the LLDP matrix. The experimental results on the public databases of Hong Kong Polytechnic University demonstrate that our method is effective for palmprint recognition.<\/em><\/td>\n<\/tr>\n
6<\/td>\nTS. V\u0103n Thi\u00ean Ho\u00e0ng<\/td>\nPalmprint Recognition Using Discriminant Local Line Directional Representation<\/td>\nH\u1ed9i ngh\u1ecb qu\u1ed1c t\u1ebf<\/td>\nSpringer<\/td>\nISSN 2194-5357
\nISSN 2194-5365<\/td>\n		T\u00e1c gi\u1ea3 ch\u00ednh<\/td>\n
<\/td>\nAbstract: Palmprint is a new biometric feature for personal identi\ufb01cation with a high degree of privacy and security. In this paper, we propose the palmprint feature extraction method which combines the direction-based method (Local line direc- tion pattern) and learning-based method (two-directional two-dimensional linear discriminant analysis ((2D)2<\/sub>LDA)) to get the high discriminant direction based features, so-called Discriminant local line Directional Representation (DLLDR). First, the algorithm computes the LLDP features with two strategies of encod- ing multi-directions. Then, (2D)2<\/sub>LDA is applied to extract DLLDR features with higher discriminant and lower-dimensional from the LLDP matrix. The exper- imental results on the public databases of Hong Kong Polytechnic University demonstrate that our method is effective for palmprint recognition.<\/em><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

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