Vietnam National University of Agriculture

Hanoi, Vietnam

Vietnam National University of Agriculture

Hanoi, Vietnam
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Ngo T.A.,Vietnam National University of Agriculture | Lu Z.,University of South Australia | Carneiro G.,University of Adelaide
Medical Image Analysis | Year: 2017

We introduce a new methodology that combines deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance (MR) data. This combination is relevant for segmentation problems, where the visual object of interest presents large shape and appearance variations, but the annotated training set is small, which is the case for various medical image analysis applications, including the one considered in this paper. In particular, level set methods are based on shape and appearance terms that use small training sets, but present limitations for modelling the visual object variations. Deep learning methods can model such variations using relatively small amounts of annotated training, but they often need to be regularised to produce good generalisation. Therefore, the combination of these methods brings together the advantages of both approaches, producing a methodology that needs small training sets and produces accurate segmentation results. We test our methodology on the MICCAI 2009 left ventricle segmentation challenge database (containing 15 sequences for training, 15 for validation and 15 for testing), where our approach achieves the most accurate results in the semi-automated problem and state-of-the-art results for the fully automated challenge. © 2016


Phan T.T.,Vietnam National University of Agriculture | Nguyen L.T.,Vietnam National University of Agriculture | Pham N.T.,Management board for agricultural projects
Tropicultura | Year: 2016

Tà Xùa and Xuân Nha special-use-forests (SUF) are located in Son La, one of two provinces chosen to pilot test the PES in Vietnam. Since 2009, Tà Xùa has received PES from 119,970 to 263,785 VND/ha per year. On the other hand, Xuan Nha SUF received a 5-year-fixed payment of 100,000 VND/year per ha from the forest protection system that was launched in 2015 by the Vietnamese government. To assess the effectiveness of forest protection in Tà Xùa and Xuân Nha, 21 authorities and 190 local people were interviewed and 28 group discussions were conducted. The effect on forest protection was observed by using transect walks. In both SUFs, the Management Boards (MBs) signed contracts with local Village MBs who are responsible for managing, and enforcing forest regulations. In Tà Xùa, MBs had not developed a comprehensive forest protection plan with criteria for checks. Local people's awareness of SUF management regulations and PES requirements remained weak, illegal logging still prevailed and high-valued timber continued to dwindle. In contrast, the relative small support in Xuan Nha, a forest with less high value timber, resulted in a comprehensive plan for the SUF and local governments successfully promoting forest protection through the local communities.


Nguyen G.T.H.,Vietnam National University of Agriculture | Quae T.T.,Vietnam National University of Agriculture
Tropicultura | Year: 2016

To understand drought adaptation practices, we compared two groups of sugarcane growers in Thanh Cong commune, Thach Thanh district, Thanh Hoa province in Vietnam. Results of this study point out that farmers, depending on their preferred type of market channels, reacted differently to the impacts of drought. Contractual farmers paid more attention to the impact on sugarcane tillering and sugar content, while market-oriented farmers paid more attention to sugarcane colour, as this trait directly determined the market price on the cane that is either consumed as cane or as juice. In responding to water stress in the growing season, the open market-oriented farmers showed more flexibility in changing their cropping calendar. They were also more willing to invest in enhancing the water management system and in providing organic fertilizer than the contractual farmers. On the other hand, the low cane price and the harvesting date set in contract by the processing company lessened the contractual farmers' flexibility in investing in water management technologies; thus, hampering their adaptation to drought.


PubMed | Vietnam National University of Agriculture, University of South Australia and University of Adelaide
Type: | Journal: Medical image analysis | Year: 2016

We introduce a new methodology that combines deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance (MR) data. This combination is relevant for segmentation problems, where the visual object of interest presents large shape and appearance variations, but the annotated training set is small, which is the case for various medical image analysis applications, including the one considered in this paper. In particular, level set methods are based on shape and appearance terms that use small training sets, but present limitations for modelling the visual object variations. Deep learning methods can model such variations using relatively small amounts of annotated training, but they often need to be regularised to produce good generalisation. Therefore, the combination of these methods brings together the advantages of both approaches, producing a methodology that needs small training sets and produces accurate segmentation results. We test our methodology on the MICCAI 2009 left ventricle segmentation challenge database (containing 15 sequences for training, 15 for validation and 15 for testing), where our approach achieves the most accurate results in the semi-automated problem and state-of-the-art results for the fully automated challenge.


Tran T.T.H.,University of Hohenheim | Tran T.T.H.,Vietnam National University of Agriculture | Zeller M.,University of Hohenheim | Suhardiman D.,International Water Management Institute
Ecosystem Services | Year: 2016

This study examines the institutional design and actual performance, of payments for ecosystem services (PES) in Vietnam. Taking Payments for Forest Environmental Services Program (PFES Program) implementation in Da Bac district, Hoa Binh province as a case study, it brings to light how PES program design and implementation contributed to the central government's objectives to: (1) involve stakeholders in forest management; (2) reduce the government's budget burden for forest protection; and (3) maintain political control over forest resources. In Vietnam, the PFES Program is implemented in a top-down manner. Participating households act as government-induced forest guards rather than forest owners. Incomplete design at the central-level results in poorer performance at lower levels and, the lack of strategic management makes it difficult to know whether the program has actually improved ecosystem services and forest management. While the PFES Program complements other institutions at the national- and local-levels, some institutional incompatibilities exist in terms of customary practices. It is unlikely, however, that these will develop into an institutional conflict. © 2016 Elsevier B.V.


Luziga C.,Sokoine University of Agriculture | Nga B.T.T.,Vietnam National University of Agriculture | Mbassa G.,Sokoine University of Agriculture | Yamamoto Y.,Yamaguchi UniversityYamaguchi
Acta Histochemica | Year: 2016

Cathepsins B and L are two prominent members of cystein proteases with broad substrate specificity and are known to be involved in the process of intra- and extra-cellular protein degradation and turnover. The propeptide region of cathepsin L is identical to Cytotoxic T-lymphocyte antigen-2α (CTLA-2α) discovered in mouse activated T-cells and mast cells. CTLA-2α exhibits selective inhibitory activities against papain and cathepsin L. We previously demonstrated the distribution pattern of the CTLA-2α protein in mouse brain by immunohistochemistry, describing that it is preferentially localized within nerve fibre bundles than neuronal cell bodies. In the present study we report colocalization of cathepsin L and CTLA-2α by double labeling immunofluorescence analysis in the mouse brain. In the telencephalon, immunoreactivity was identified in cerebral cortex and subcortical structures, hippocampus and amygdala. Within the diencephalon intense colocalization was detected in stria medullaris of thalamus, mammillothalamic tract, medial habenular nucleus and choroid plexus. Colocalization signals in the mesencephalon were strong in the hypothalamus within supramammillary nucleus and lateroanterior hypothalamic nucleus while in the cerebellum was in the deep white matter, granule cell layer and Purkinje neurons but moderately in stellate, and basket cells of cerebellar cortex. The distribution pattern indicates that the fine equilibrium between synthesis and secretion of cathespin L and CTLA-2α is part of the brain processes to maintain normal growth and development. The functional implication of cathespin L coexistence with CTLA-2α in relation to learning, memory and disease mechanisms is discussed. © 2016 Elsevier GmbH


PubMed | Posts and Telecommunications Institute of Technology PTIT Hanoi, Vietnam National University of Agriculture, Hanoi University of Science and Technology and Hanoi University
Type: | Journal: Waste management (New York, N.Y.) | Year: 2016

The amount of municipal solid waste (MSW) has been increasing steadily over the last decade by reason of population rising and waste generation rate. In most of the urban areas, disposal sites are usually located outside of the urban areas due to the scarcity of land. There is no fixed route map for transportation. The current waste collection and transportation are already overloaded arising from the lack of facilities and insufficient resources. In this paper, a model for optimizing municipal solid waste collection will be proposed. Firstly, the optimized plan is developed in a static context, and then it is integrated into a dynamic context using multi-agent based modelling and simulation. A case study related to Hagiang City, Vietnam, is presented to show the efficiency of the proposed model. From the optimized results, it has been found that the cost of the MSW collection is reduced by 11.3%.


PubMed | Vietnam National University of Agriculture, Yamaguchi University and Sokoine University of Agriculture
Type: Journal Article | Journal: Acta histochemica | Year: 2016

Cathepsins B and L are two prominent members of cystein proteases with broad substrate specificity and are known to be involved in the process of intra- and extra-cellular protein degradation and turnover. The propeptide region of cathepsin L is identical to Cytotoxic T-lymphocyte antigen-2 (CTLA-2) discovered in mouse activated T-cells and mast cells. CTLA-2 exhibits selective inhibitory activities against papain and cathepsin L. We previously demonstrated the distribution pattern of the CTLA-2 protein in mouse brain by immunohistochemistry, describing that it is preferentially localized within nerve fibre bundles than neuronal cell bodies. In the present study we report colocalization of cathepsin L and CTLA-2 by double labeling immunofluorescence analysis in the mouse brain. In the telencephalon, immunoreactivity was identified in cerebral cortex and subcortical structures, hippocampus and amygdala. Within the diencephalon intense colocalization was detected in stria medullaris of thalamus, mammillothalamic tract, medial habenular nucleus and choroid plexus. Colocalization signals in the mesencephalon were strong in the hypothalamus within supramammillary nucleus and lateroanterior hypothalamic nucleus while in the cerebellum was in the deep white matter, granule cell layer and Purkinje neurons but moderately in stellate, and basket cells of cerebellar cortex. The distribution pattern indicates that the fine equilibrium between synthesis and secretion of cathespin L and CTLA-2 is part of the brain processes to maintain normal growth and development. The functional implication of cathespin L coexistence with CTLA-2 in relation to learning, memory and disease mechanisms is discussed.


Quang N.T.,Hanoi University of Science and Technology | Sang D.V.,Hanoi University of Science and Technology | Thuy N.T.,Vietnam National University of Agriculture | Binh H.T.T.,Hanoi University of Science and Technology
ACM International Conference Proceeding Series | Year: 2015

Detection of buildings in aerial images is an important and challenging task in computer vision and aerial image interpretation. This paper presents an efficient approach that combines Random forest (RF) and a fully connected conditional random field (CRF) on various features for the detection and segmentation of buildings at pixel level. RF allows one to learn extremely fast on big aerial image data. The unary potentials given by RF are then combined in a fully connected conditional random field model for pixelwise classification. The use of high dimensional Gaussian filter for pairwise potentials makes the inference tractable while obtaining high classification accuracy. Experiments have been conducted on a challenging aerial image dataset from a recent ISPRS Semantic Labeling Contest [9]. We obtained state-of-the-art accuracy with a reasonable computation time. © 2015 ACM.


Nguyen L.V.,Vietnam National University of Agriculture
International Journal on Advanced Science, Engineering and Information Technology | Year: 2016

The objective of this study was to understand the change in response of quinoa genotypes to divers salinity stress conditions e.g in controlled (net-house) and in the different saline fields. The pot experiment was conducted in a net-house at Vietnam National University of Agriculture, Hanoi, Vietnam in spring cropping season to characterize the growth and yield of six quinoa genotypes under four NaCl concentrations (0, 10, 20 and 30 dS m-1). At the same time, in Nam Dinh and Hai Phong provinces, two coastal provinces that are most affected by seawater intrusion in the North of Vietnam, same genotypes were studied under two plant densities (20 × 5cm and 50 × 5cm). The results showed that salinity stresses reduced growth and yield characteristics of quinoa plant and varying due to different saline conditions. Plant density of quinoa grown under saline fields was not associated with difference in morphological traits, but might relate to the change in yield characteristics. Salinity stresses reduced plant height, the number of leaves on main stem, the number of branches on plant, head panicle length, dry matter accumulation, 1000-seed weight, individual and grain yield of all quinoa genotypes. However, most of quinoa genotypes produced acceptable yield even under high salt conditions in the field. Among quinoa genotypes, Moradas and Verde adapted well to salt stress conditions with high potential for the number of leaves on main stem, the number of branches on plant, dry matter accumulation and yield than others. These should be recommended varieties for cultivation in saline areas in Vietnam as well as be useful to improve genetic resources in breeding program for salt tolerant quinoa varieties.

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