1,759 research outputs found
LAPFormer: A Light and Accurate Polyp Segmentation Transformer
Polyp segmentation is still known as a difficult problem due to the large
variety of polyp shapes, scanning and labeling modalities. This prevents deep
learning model to generalize well on unseen data. However, Transformer-based
approach recently has achieved some remarkable results on performance with the
ability of extracting global context better than CNN-based architecture and yet
lead to better generalization. To leverage this strength of Transformer, we
propose a new model with encoder-decoder architecture named LAPFormer, which
uses a hierarchical Transformer encoder to better extract global feature and
combine with our novel CNN (Convolutional Neural Network) decoder for capturing
local appearance of the polyps. Our proposed decoder contains a progressive
feature fusion module designed for fusing feature from upper scales and lower
scales and enable multi-scale features to be more correlative. Besides, we also
use feature refinement module and feature selection module for processing
feature. We test our model on five popular benchmark datasets for polyp
segmentation, including Kvasir, CVC-Clinic DB, CVC-ColonDB, CVC-T, and
ETIS-LaribComment: 7 pages, 7 figures, ACL 2023 underrevie
Refinement of an inverse analysis procedure for estimating tensile constitutive law of UHPC
As regard to cementitious composite materials added a certain dosage of fiber, estimation of tensile constitutive law through inverse analysis methods is no longer extraordinary. However, development or improvement to achieve an effective method for estimating such a tensile behavior of fiber reinforced concrete (FRC) or Ultra high-performance concrete (UHPC) is still an interesting topic to researchers. In this respect, the paper presents a development of inverse analysis method developed by Lopez to obtain the stress-strain behavior of UHPC from the four-point bending test. By applying optimization algorithm into the iterative procedure of method, an improvement could be obtained for the inverse analysis with a high degree of automation in calculation. A post-process treatment for inverse analysis results is also proposed to bring a finer agreement between the tensile behavior curve obtained by the inverse analysis and result curve of uniaxial tensile test (UTT). The effectivity of process is shown through a comparison between the result obtained by the proposed method and the result in Lopez’s public paper
Refinement of an inverse analysis procedure for estimating tensile constitutive law of UHPC
As regard to cementitious composite materials added a certain dosage of fiber, estimation of tensile constitutive law through inverse analysis methods is no longer extraordinary. However, development or improvement to achieve an effective method for estimating such a tensile behavior of fiber reinforced concrete (FRC) or Ultra high-performance concrete (UHPC) is still an interesting topic to researchers. In this respect, the paper presents a development of inverse analysis method developed by Lopez to obtain the stress-strain behavior of UHPC from the four-point bending test. By applying optimization algorithm into the iterative procedure of method, an improvement could be obtained for the inverse analysis with a high degree of automation in calculation. A post-process treatment for inverse analysis results is also proposed to bring a finer agreement between the tensile behavior curve obtained by the inverse analysis and result curve of uniaxial tensile test (UTT). The effectivity of process is shown through a comparison between the result obtained by the proposed method and the result in Lopez’s public paper
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Policy research - implications of liberalisation of fish trade for developing countries. A case study of Vietnam
Since the end of the 1980s, when Viet Nam launched the doi moi policy of renovation, economic and social conditions have remarkably improved for the majority of the population. Poverty levels have been reduced by half over the past ten years. Social services have been improved and the economy in general continues to grow at a high rate. Vietnam is a country that has made significant strides in poverty reduction. Using the international poverty line, poverty incidence in Vietnam has been reduced from 37.4% in 1998 to 28.9% in 2002, or a 2% decline annually. Indicators such as access to basic services like electricity, clean water, health care and education show substantial improvement, especially in rural and remote mountainous areas. However, poverty still remains at a high level and the disparity among regions and ethnic groups is increasing. Poverty is still mainly concentrated in rural areas, where 90% of poor people live.
In Vietnam the fisheries sector, especially coastal and inland aquaculture, is a prioritized sector for development. It is important not only for national income through exports but also as a subsistence activity for poverty reduction among the large rural population. Several million people depend on aquatic resources, directly or indirectly, for their livelihoods in inland and coastal areas. According to official employment statistics, one in every twenty-five persons in Vietnam is engaged in a fisheries activity. This means that there is a considerable labour force of around 3 million people is directly employed in the country’s fisheries sector.
Farming of catfish is an important freshwater aquaculture activity in Vietnam, reared in floaing cases and ponds. “Tra” (Pangasius hypophthalmus1) and “basa” (Pangasius bocourti) farming is a traditional occupation and a means of livelihood for farmers in the Mekong Delta in the south of Vietnam (Trong et al, 2002). Thanks to the Government’s trade liberalization reforms catfish production increased substantially in recent years to catering to increased international demand and market opportunities. Volumes of cat fish fillet exported by Vietnamese export companies increased from 5,000 tonnes in 1996 to 10,000 tonnes in 2001 (90% of which was the tra species), with half exported to the United States
FMI Compliant Approach to Investigate the Impact of Communication to Islanded Microgrid Secondary Control
In multi-master islanded microgrids, the inverter controllers need to share
the signals and to coordinate, in either centralized or distributed way, in
order to operate properly and to assure a good functionality of the grid. The
central controller is used in centralized strategy. In distributed control,
Multi-agent system (MAS) is considered to be a suitable solution for
coordination of such system. However the latency and disturbance of the network
may disturb the communication from central controller to local controllers or
among agents or and negatively influence the grid operation. As a consequence,
communication aspects need to be properly addressed during the control design
and assessment. In this paper, we propose a holistic approach with
co-simulation using Functional Mockup Interface (FMI) standard to validate the
microgrid control system taking into account the communication network. A
use-case of islanded microgrid frequency secondary control with MAS under
consensus algorithm is implemented to demonstrate the impact of communication
and to illustrate the proposed holistic approach.Comment: Proceedings of the IEEE PES ISGT Asia 2017 conferenc
Factors Affecting Credit Growth of Vietnamese Commercial Banks
This research analyzes the factors that affect the credit growthof the Vietnamese commercial banking system. This study usedata from the annual reports and financial statements of 16commercial banks listed on the HOSE, HNX, and UPCOMexchanges that have operated continuously from 2011 to 2020.Two linear regression models were employed with two dependentvariables: the credit growth rate and credit size. The findingsindicate that credit size in the previous period, the annualgrowth rate of capital mobilization, bank size, and return onassets (ROA) positively affect the credit growth of Vietnamesecommercial banks while liquidity ratio negatively affects them.Also, the bad debt ratio’s effect on credit growth is unclear. Hence,some suggestions and recommendations are given for commercialbanks to maintain stable, safe, and sustainable credit growth.JEL Classification: G21, E50, E5
Relationship between Transformational Leadership Style and Leadership Thinking of Provincial Administration Leaders
Objectives: The transformational leadership style is accepted as suitable for leading administrative agencies to achieve outstanding results and help organizations cope with challenges. Besides, leadership thinking is also considered to have a very important role in leadership performance in administrative agencies. Therefore, the main objective of the study is to explore the relationship between transformational leadership style and leader thinking to organization's performance. Methods: The article focuses on explaining the views on transformational leadership style, healthy thinking, and the relationship between transformational leadership style and leadership thinking, and at the same time points out the current status of transformational leadership style, transformational leadership, leadership thinking as well as this relationship in practice among the leaders of provincial agencies in Vietnam. Descriptive, inductive, deductive, synthetic, and quantitative statistical methods were applied to interpret the results. Findings: Research results show that transformational leadership style, leadership thinking in the team of leaders of provincial agencies is quite average, there is a strong positive correlation between transformational leadership style. In contrast to leadership thinking, a more transformative leadership style means that it requires an innovative leadership thinking. Novelty:The results achieved when applying a transformational leadership style are quite closely related to the application of leadership thinking to solve leadership challenges. Doi: 10.28991/esj-2021-01307 Full Text: PD
The Factors Impact on Students' Actual Research Activity in Public Universities in Hanoi, Vietnam
This research aims at identifying and evaluating the factors that affect students' actual research activity. The selected organization for the study is 5 public universities in Hanoi city, Vietnam. The research results have shown that six groups of factors are positively correlated with students' actual research activity, that are: The facilities and financial condition of university; The link between university and business; Program and training organization activities of the university; Teaching methods of lecturer; Student learning motivation; The support of the student family. These groups of factors were measured in 28 observational variables and explained 62.6% the change of dependent variable. Analyse and evaluating the influencing level of these factors to the student actual research activities will help the managers at the universities; the businesses or student parents can notice and have effective measures to enhance the actual research activities for students in various forms, improve the quality of training in order to meet the increasing requirements of the labour market
Research on Digital Marketing for Play Nutrition's Nutrition Bar
In the 4.0 context, Digital Marketing becomes suitable for all businesses, from small to medium to large, helping businesses reduce costs, increase the effectiveness of communication tools, and align with today's digital transformation context. The study examines the degree of application of Digital Marketing tools for the Play Nutrition bar. The results show that “Content Marketing” has the highest frequency of appearance, attractiveness, and influence. Along with “Content Marketing”, “Video Marketing” also has the strongest impact. Based on the theoretical study of Digital Marketing, combined with survey results and orientation toward the use of Digital Marketing tools in the future for Play Nutrition bars, the research team proposes some recommendations to enhance the effectiveness of using Digital Marketing tools for Play Nutrition bars
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