- Article
Authors: Nguyen, Thanh Tung; Huynh, Thi Thanh Binh (2015) - Recently, wireless sensor networks (WSNs) have
been progressively applied in various fields and areas. However,
its limited energy resources is indisputably one of the
weakest point that strongly affects the network’s lifetime. A
WSN consists of a sensor node set and a base station. The
initial energy of each sensor node will be depleted continuously
during data transmission to the base station either directly
or through intermediate nodes, depending on the distance
between sending and receiving nodes. This paper consider
determining an optimal base station location such that the
energy consumption is kept lowest, maximizing the network’s
lifetime and propose a nonlinear pr...
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- Article
Authors: Phan, Tan; Nguyen, Thanh Tung; Vu, Khanh Hoan; Tran, Viet Trung; Nguyen, Huu Duc (2017) - So far, medical data have been used to serve the need of people’s healthcare. In some
countries, in recent years, a lot of hospitals have altered the conventional paper medical records
into electronic health records. The data in these records grow continuously in real time, which
generates a large number of medical data available for physicians, researchers, and patients in
need. Systems of electronic health records share a common feature that they are all constituted
from open sources for Big Data with distributed structure in order to collect, store, exploit, and
use medical data to track down, prevent, treat human’s diseases, and even forecast dangerous
epidemics.
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- Article
Authors: Phan, Cong Vinh; Nguyen, Thanh Tung (2013) - This paper will be both to give an in-depth analysis as well as to present the new material on the notion of context-aware computing, an idea that computing can both sense and react accordantly based on its environment. The paper formalizes context-awareness process using coalgebraic language, including the coalgebraic definition of context-awareness, bisimulation between context-awarenesses, homomorphism between context-awarenesses and context-awarenesses as coalgebras. Discussions for further development based on this approach are also given.
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- Final Year Project (FYP)
Authors: Do, Cong Tuan; Advisor: Nguyen, Thanh Tung (2024) - The graduation report focuses on implementing a signal processing software library based on the Improved Modified Polynomial principles method, derived from the Polynomial Fitting Method. The data processed is then used to train a machine learning model to compare different adjustments and fine-tuning, aiming to provide optimal
results. The ultimate goal is to develop a system for diabetes measurement using artificial intelligence. The input data set for this study consists of sugar water mixed with a pure water solvent, categorized into different types based on the sugar concentration. The project resulted in a system that achieved 82.0% accuracy in differentiating patient samples i...
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- Article
Authors: Nguyen, Thanh Tung; Phan, Cong Vinh (2013) - Sensor networks are deployed in numerous
military and civil applications, such as remote target
detection, weather monitoring, weather forecast, natural
resource exploration and disaster management.
Despite having many potential applications, wireless
sensor networks still face a number of challenges due
to their particular characteristics that other wireless
networks, like cellular networks or mobile ad hoc networks
do not have. The most difficult challenge of the
design of wireless sensor networks is the limited energy
resource of the battery of the sensors. This limited
resource restricts the operational time that wireless sensor
networks can function in their applicati...
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- Article
Authors: Phan, Cong Vinh; Nguyen, Thanh Tung; Nguyen, Van Phuc; Nguyen, Hai Thanh (2012) - This paper will be both to give an in-depth analysis as well as to present the new material on the notion of context-awareness process on P2P networks, an idea that networking can both sense and react accordantly based on external actions. The paper formalizes context-awareness process using the notion of functional stream derivative, including P2P networks, context-awareness and the functional stream derivatives of context-awareness on P2P networks. A brief summary of this approach is also given.
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- Final Year Project (FYP)
Authors: Nguyen, Viet Anh; Advisor: Nguyen, Thanh Tung (2021) - This project presents the overall design of a Gas Sensor with a low-cost and wireless system. It specifically focuses on the development of an IOT based home automation system that can control various components via the internet or be automatically programmed to operate from ambient conditions. In this project, I design the development of firmware for smart control which can successfully be automated minimizing human interaction to preserve the integrity within whole electrical devices in the home. I used Node MCU via the Arduino IDE compiler, a popular open-source IOT platform, to execute the process of automation. Different components of the system will use different transmission mo...
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- Final Year Project (FYP)
Authors: Ngô, Quang Trường; Advisor: Nguyen, Thanh Tung (2023) - This graduation report centers on employing the Convolutional Neural Network (CNN) machine learning methodology to categorize and compare outcomes among samples, thereby constructing an artificial intelligence system adept at diabetes measurement. The input dataset for this study comprised sugar water mixed with a pure water solvent, categorized into different types based on sugar concentration in the solution. The project yielded a system achieving 85.17% accuracy in discerning specimens into diabetespositive and negative groups. Through systematic alterations to system components, including the number of training classes, samples per training session, and the structure of each train...
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- Article
Authors: Nguyen, Thanh Tung; Nguyen, Van Duc (2012) - A difficult constraint in the design of wireless sensor networks (WSNs) is the limited energy resource of the batteries of the sensors. This limited resource restricts the operating time that WSNs can function in their applications. Routing protocols play a major part in the energy efficiency of WSNs because data communication dissipates most of the energy resource of the networks. There are many energy-efficient cluster-based routing protocols to deliver data from sensors to a base station. All of these cluster-based algorithms are heuristic. The significant benefit of heuristic algorithms is that they are usually very simple and can be utilized for the optimization of large sensor n...
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- Article
Authors: Nguyen, Thanh Tung; Nguyen, Van Duc; Nguyen, Hai Thanh (2012) - Sensor networks are deployed in numerous military and civil applications, such as remote target detection, weather monitoring, weather forecast, natural resource exploration and disaster management. Despite having many potential applications, wireless sensor networks still face a number of challenges due to their particular characteristics that other wireless networks, like cellular networks or mobile ad hoc networks do not have. The most difficult challenge of the design of wireless sensor networks is the limited energy resource of the battery of the sensors. This limited resource restricts the operational time that wireless sensor networks can function in their applications. Routing...
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- Article
Authors: Nguyen, Thanh Tung; Nguyen, Sy Minh (2014) - Water covers more than 70 % of the entire planet, contains much of its natural resources. With the increasing use of underwater sensors for the exploitation and monitoring of vast underwater resources, underwater wireless sensor network (UWSN), mostly based on acoustic transmission technologies, have been developing steadily in terms of operation range and data throughput. In an energy-constrained underwater system environment it is very important to find ways to improve the life expectancy of the sensors. Compared to the sensors of a terrestrial Ad Hoc Wireless Sensor Network (WSN), underwater sensors cannot use solar energy to recharge the batteries, and it is difficult to replace t...
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- Article
Authors: Nguyen, Bao Ngoc; Do, Thi Ly; Esther, Derouet; Nguyen, Huu Tuan Dung; Nguyen, Thanh Tung (2018) - Our purpose was to develop and characterize a protein drug delivery system in agarose-glucan complex. The complex was produced by sonicating the mixture of agarose-glucan components and a protein in liquid paraffin with Sonics Vibracell Processor adapted from method of Nuo Wang et all 1997 [1]. We used etanercept, an anti-tumor necrosis factor-alpha (TNF-α) as a model protein drug, which was encapsulated successfully into agarose-glucan complex system. This protein can neutralize the TNF-α, a pro-inflammatory cytokines that plays a pivotal role in regulating the inflammatory response in rheumatoid arthritis (RA) and well known as mediator worsening RA pathogenesis. The agarose-glucan ...
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- Final Year Project (FYP)
Authors: Hoàng, Văn Đạt (2023) - In terms of content: The application will provide information about Vietnamese dishes, including names, ingredients, cooking methods, images, etc. The application will also provide information about culinary culture. Vietnamese food, such as festivals, traditional dishes,... In terms of design: The application will be designed to be user-friendly, easy to use and easy to find information. The app will also be optimized for mobile devices. Technically: The application will be developed using modern technologies, such as React Native, The application will also be integrated with cloud services to store data and transaction processing.
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- Final Year Project (FYP)
Authors: Bui, Xuan Hoa; Advisor: Nguyen, Thanh Tung (2021) - Today with the development of science and technology, the variety of digital electronic components, automatic control devices. Old technologies are gradually being replaced by modern ones. Advanced technology devices with programmable control systems of microcontrollers, microprocessors, PLCs... and remote control devices are being widely applied in practice. In the current popular research, the application of science and technology has made important contributions, especially in the field of electronics. Today a smarter product means that it has to have new innovations that are superior to previous generations, so it cannot be without the application of technology to work. From ident...
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- Article
Authors: Ali, Mumtaz; Le, Hoang Son; Khan, Mohsin; Nguyen, Thanh Tung (2018-01) - Over the last few decades, the advance of new technologies in computer equipment, cameras and medical devices became a starting point for the shape of medical imaging systems. Since then, many new medical devices, e.g. the X-Ray machines, computed tomography scans, magnetic resonance imaging, etc., accompanied with operational algorithms inside has contributed greatly to successful diagnose of clinical cases. Enhancing the accuracy of segmentation, which plays an important role in the recognition of disease patterns, has been the focus of various researches in recent years. Segmentation using advanced fuzzy clustering to handle the problems of common boundaries between clusters would ...
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- Final Year Project (FYP)
Authors: Tran, Thi Thu Ha; Advisor: Nguyen, Thanh Tung (2019) - The health sector, everywhere in the world creates and processes vast amounts of data, primarily including patient data based on their history, the types of illnesses he / she has, and the result. Actual result of the drug. Most of the data is occupied by image data
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generated from X-rays, ultrasound, etc. After storing it to the database. Managing or handling this big data is a serious problem. 90% of the data is image data generated by radiography and ultrasound and should be stored for further use in diagnostic processes, as well as for research. This data is like wine that has grown in strength over time. After much research, the name has been put into the picture, the Image St...
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- Final Year Project (FYP)
Authors: Dang, Phuong Thao; Advisor: Nguyen, Thanh Tung (2024) - This research study investigates the utilization of Convolutional Neural Networks (CNN) for the purpose of categorizing and comparing outcomes among samples in order to create an artificial intelligence system for diabetes assessment. The dataset consists of data obtained from authentic persons in Vietnam using a Raman spectrometer, after eliminating background noise. The study developed a system that attained a perfect accuracy rate of 95% in categorizing data with two labels, and an approximate accuracy rate of 84.4% in categorizing data with three labels. The system effectively distinguished between samples that were positive and negative for diabetes. The project entailed methodic...
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