294 research outputs found
Le Minh Dat's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Le Minh Dat's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
The emerging legal framework for private sector development in Viet Nam's transitional economy
No full textA major objective of Viet Nam's transition to a market economy has been to reactivate the private sector in a mixed economy. Several new laws have been introduced in the past five years to implement this policy and to create an enabling environment for the private sector. The author reviews some of the more important laws and regulations that affect Viet Nam's private sector activities, including laws on real property, intellectual property, companies, domestic investment, foreign investment, bankruptcy, contracts, and dispute resolution. Anti-monopoly law has not yet been introduced in Viet Nam. The issue of competition is addressed in the context of trade law, the relative roles of the state and private sector, and restrictions in company law. These areas all establish the foundation of a legal framework for a market economy. The author concludes that Viet Nam's legal framework, like China's, is still influenced by ideology, which causes problems in such areas as private ownership of real property and with such fundamental legal concepts as"due process of law."It is noted that the private sector is constrained by the lack of an independent judiciary, the absence of private land ownership, other uncertainties in property law that limit the develpoment of financial markets, and the inherent bias of the system in favor of the state sector (and collective ownership). Also noted is a law-abiding attitude, equally important to development has been slow to develop. The author goes on to point out that the foreign investment process is too complicated, and its company law too restrictive. A first priority should be to strreamline regulations, as well as liberalize trade policy and increase efforts in privatization of state enterprises. In this respect the author notes that export processing zones may be a useful interim instrument to attract foreign investment but should be phased out over time. More important in the long term is a good investment climate resting on a strong legal foundation.Legal Products,Environmental Economics&Policies,Banks&Banking Reform,Municipal Housing and Land,Municipal Financial Management,Environmental Economics&Policies,Banks&Banking Reform,Municipal Housing and Land,Legal Products,Municipal Financial Management
Design Considerations for Brushwood Fences Concerning Bathymetry and Fence Locations
No full textWooden fences are nature-based supporting structures to restore mangroves in the Mekong Delta. The hydraulic functioning of wooden fences was studied in previous studies. However, the role of bathymetry in the dissipation and damping of waves by wooden fences has not been studied yet. Thus, in this study, a numerical approach is used to find the effect of the position of fences and the foreshore bathymetry, including two particular slopes of 1/200 and 1/500, on wave damping due to wooden fences. The results show that the bottom slope significantly influences the dissipation of incoming waves, the so-called pre-dissipation, before damping by the wooden fences. Differences in pre-dissipation occur between fence locations along the cross-shore slopes. The higher pre-dissipation takes place for wooden fences closer to the land, as the depth-limited wave height at the fence reduces. The efficiency in wave damping of wooden fences is also increasing as the freeboard is becoming larger for the fence located closer landward.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Coastal EngineeringHydraulic Structures and Flood Ris
Application of XGBoost Model for Predicting the Dynamic Response of High-Speed Railway Bridges
No full textThe dynamic response at high speed affects both the vehicles and the structures in a complex manner, especially in the railway infrastructure problems. In this study, we developed a new KD-Railway tool for analyzing the dynamic behavior of high-speed railways by using the finite element method. Then, extreme gradient boosting (XGBoost) was used to predict and better understand the dynamic response of high-speed railway bridges. The model was trained and tested using a dataset including properties and dynamic responses of 10,000 bridges generated by KD-Railway. The input variables were the bridge span length, the flexural rigidity, mass per length of the bridge, the cross-section area of bridge decks, the train speed, the damping ratio, and the HSLM train models. On the other hand, maximum vertical deflection and maximum acceleration were considered as the output parameters. The coefficients of determination (R2) for these two outputs were (0.996, 0.931, 0.977) and (0.987, 0.901, 0.962) for the training, testing, and entire dataset, respectively. The sensitivity analyses were also conducted to evaluate the importance of each input variable on the outcomes.</p
Covid-19 diagnosis and clinical symptom expression levels in a deep learning model
No full textIn December 2019, a new strain of virus called COVID-19 (previously designated as 2019-nCoV) caused the first detected outbreak in Wuhan City, Hubei Province, China and since then spread globally. Viruses can cause several types of damage to the respiratory tract, including Tracheitis; Bronchitis; Pneumonia. It is difficult to distinguish coronavirus pneumonia from some other microbiological causes through X-ray images. However, it can be distinguished from a normal person by chest X-ray and CT-Scan, along with clinical judgment through actual symptoms. The following article provides the process and setup of an analytical machine learning model and provides some clinical comparisons between the effectiveness of the machine learning model and the level of clinical symptomatology of a statistical sample. Medical records of some patients in Ho Chi Minh City, Vietnam
Export of some key Agricultural products of Vietnam
No full textPurpose: The article is made to analyze the current situation of export activities of some key agricultural products of Vietnam, especially in the context of the world economy being heavily affected by the Covid-19 pandemic. Economies including Vietnam’s agricultural exports. Stemming from that practical requirement, the author proposes a number of solutions to overcome supply chain disruptions, to cope with the new context that creates momentum for the recovery and growth of Vietnam's agricultural economy by 2025.
Design/methodology/approach: Research using the export approach of key agricultural products in a dynamic state, considering the impact of many factors, in which the influence of the Covid-19 pandemic is emphasized. disruption of supply chains from production to consumption of Vietnamese agricultural products. The study uses the research method to synthesize documents from reliable data and information sources of the economy such as MBS, CEIC, GSO of Vietnam, Ministry of Agriculture and Rural Development of Vietnam.
Findings: The research results achieved the following contents: theoretical overview of key agricultural exports, agricultural development in a new context. The article analyzes the current status of the role of agriculture and the export of key agricultural products in economic development in Vietnam; Impact of the Covid-19 epidemic on the production of key agricultural products of Vietnam; Impact of the Covid-19 pandemic on Vietnam's key agricultural exports. The article proposes some solutions to export Vietnam’s key agricultural products in the new context from the perspective of the state to actors in the value chain of Vietnam’s key agricultural exports in the new context until 2025.
Research, Practical & Social implications: Research results are references for scholars interested in the field of agricultural economics, business and commerce; policy makers of agricultural economics in Vietnam. The Vietnamese government seeks and expands new markets in the direction of official channels to avoid price pressure. To do this, businesses need to pay attention to product quality, traceability, and packaging to comply with regulations and standards of key importing countries of Vietnam’s agricultural products by 2025.
Originality/value: On the basis of a theoretical overview of the export of key agricultural products, agricultural development in a new context. The author analyzes the current status of the role of agriculture and the export of key agricultural products in economic development in Vietnam; Impact of the Covid-19 epidemic on the production of key agricultural products of Vietnam; Impact of the Covid-19 pandemic on Vietnam’s key agricultural exports. On that basis, the author proposes some solutions to export Vietnam’s key agricultural products in the new context from the perspective of the state to actors in the value chain of Vietnam’s key agricultural exports
Energy Consumption Prediction of Residential Buildings Using Machine Learning: A Study on Energy Benchmarking Datasets of Selected Cities Across the United States
No full textEnergy consumption around the globe has been rising for many decades. A significant portion of this consumption occurs in residential buildings. Developing reliable methods to understand and predict energy use is essential in the global effort to become more sustainable. Many cities across the U.S. have mandatory energy benchmarking programs requiring large buildings to track and report their energy use. These openly available datasets have encouraged many researchers to study energy use and develop energy use prediction models. In this study, we employ Extreme Gradient Boosting, Random Forest, and Artificial Neural Network as three common Machine Learning methods to predict building energy use in eight U.S. metropolitan areas. By examining the models’ performance, we also evaluate and compare the datasets provided by the benchmarking programs and we investigate whether the openly available datasets provide adequate input variables for energy use prediction. Based on the results, suggestions are provided to enhance the datasets and further improve building energy use research.</p
The 5G Network Solution for Intelligent Traffic : Literature Review and Simulation
No full textAs the successor to 4G and LTE networks, 5G is expected to offer more benefits to both business and society. The core characteristics of 5G network includes, but are not limited to, high bandwidth, data rate, network density, and low latency. 5G network is especially useful for activities or operations which require data transmission on a real-time basis. An intelligent traffic system can be beneficial when combined with services utilizing 5G network. The interactions among vehicles and between vehicles and traffic are key components to enhance a traffic light control system. With the help of low latency and high data rates, each vehicle can transfer its information, such as type of the vehicle, speed, destination, position, etc. to the traffic light control system. By obtaining and analyzing this information from all vehicles, the traffic light can be flexible in changing signal phases to create smoother traffic flow and decrease waiting time of vehicles. This study presents the development of cellular networks as well as the features and limitations of 5G network. It also provides a systematic review of several algorithms used in intelligent traffic systems from three perspectives: isolated traffic light, road network, and eco-driving. Two small traffic scenarios are simulated to obtain different traffic measurements such as waiting time, time loss, speed, and CO2 emission. Finally, this study evaluates and discusses the efficiency of the traffic light system when it can obtain more information as well as the future direction of intelligent traffic research
Application of weighted Latin hypercube sampling in stochastic modelling of shear strength of RC beams
No full textStochastic modelling and probabilistic analysis of concrete members are very time-demanding, especially for nonlinear finite element analysis of concrete structures. This paper presents an application of weighted Latin hypercube sampling method in stochastic modelling of shear strength of reinforced concrete beams, which takes into account the sensitivity factors regarding the behaviour of the considered system. The results show with only a few simulations the statistical values of the load-bearing capacities of concrete structures can be determined with high accuracy if weighted Latin hypercube sampling is used.</p
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