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Preparing cuprous oxide nanomaterials by electrochemical method for non-enzymatic glucose biosensor
Nguyen, Thu-Thuy,Huy, Bui The,Hwang, Seo-Young,Vuong, Nguyen Minh,Pham, Quoc-Thai,Nghia, Nguyen Ngoc,Kirtland, Aaron,Lee, Yong-Ill IOP 2018 Nanotechnology Vol.29 No.20
<P>Cuprous oxide (Cu<SUB>2</SUB>O) nanostructure has been synthesized using an electrochemical method with a two-electrode system. Cu foils were used as electrodes and NH<SUB>2</SUB>(OH) was utilized as the reducing agent. The effects of pH and applied voltages on the morphology of the product were investigated. The morphology and optical properties of Cu<SUB>2</SUB>O particles were characterized using scanning electron microscopy, x-ray diffraction, and diffuse reflectance spectra. The synthesized Cu<SUB>2</SUB>O nanostructures that formed in the vicinity of the anode at 2 V and pH?=?11 showed high uniform distribution, small size, and good electrochemical sensing. These Cu<SUB>2</SUB>O nanoparticles were coated on an Indium tin oxide substrate and applied to detect non-enzyme glucose as excellent biosensors. The non-enzyme glucose biosensors exhibited good performance with high response, good selectivity, wide linear detection range, and a low detection limit at 0.4 <I>μ</I>M. Synthesized Cu<SUB>2</SUB>O nanostructures are potential materials for a non-enzyme glucose biosensor.</P>
Nguyen Thi Minh Hong,Nguyen Ba Doan,Nguyen Huy Tiep,Le Viet Cuong,Bui Nguyen Quoc Trinh,Pham Duc Thang,김동현 한국물리학회 2013 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.63 No.3
In this work, we study the magnetic properties of a CoFe/NiFe/PZT heterostructured nanocompositethat is affected by the strain in the PZT substrate when a voltage in the range from –250to 250 V is applied. An interesting electric-voltage-controlled magnetic anisotropy, with a relativeincrease in magnetization up to above 100%, is observed. This brings a new challenge to operate alow-power-consuming spin electronic device. We also utilize a theoretical model based on interfacecharge-mediated and strain-mediated magnetic-electric coupling to understand the change in themagnetic properties of the investigated material.
PSI-rooted subgraph: A novel feature for IoT botnet detection using classifier algorithms
Huy-Trung Nguyen,Quoc-Dung Ngo,Doan-Hieu Nguyen,Van-Hoang Le 한국통신학회 2020 ICT Express Vol.6 No.2
It is obvious that IoT devices are widely used more and more in many areas. However, due to limited resources (e.g., memory, CPU), the security mechanisms on many IoT devices such as IP-Camera, router are low. Therefore, botnets are an emerging threat to compromise IoT devices recently. To tackle this, a novel method for IoT botnets detection plays a crucial role. In this paper, we have some contributions for IoT botnet detection: first, we present a novel high-level PSI-rooted subgraph-based feature for the detection of IoT botnets; second, we generate a limited number of features that have precise behavioral descriptions, which require smaller space and reduce processing time; third, The evaluation results show the effectiveness and robustness of PSI-rooted subgraph-based features, as with five machine classifiers consisting of Random Forest, Decision Tree, Bagging, k-Nearest Neighbor, and Support Vector Machine, each classifier achieves more than 97% detection rate and low time-consuming. Moreover, compared to other work, our proposed method obtains better performance. Finally, we publicize all our materials on Github, which will benefit future research (e.g., IoT botnet detection approach).
Nguyen Quoc Huy,Phan Anh Duong,Tran The Nam,To Thi Thu Ha,류보림,강호근 한국마린엔지니어링학회 2024 한국마린엔지니어링학회지 Vol.48 No.2
Maritime transportation, representing over 80% of global shipping, has emerged as a significant contributor to environmental emissions. Consequently, emission mitigation strategies are crucial for preserving our maritime ecosystems. This study proposes an innovative integrated propulsion system utilizing solid oxide fuel cells (SOFCs), proton exchange membrane fuel cells (PEMFCs), and waste heat recovery, fueled by liquefied natural gas (LNG), to achieve high efficiency and minimal emissions. Utilizing the cold energy from LNG, the system supports a CO2 capture mechanism from exhaust gases. Through the integration of gas turbine (GT), organic Rankine cycle (ORC), and steam Rankine cycle (SRC), the cold energy of LNG and waste heat of SOFC are efficiently converted into usable power. To address vessel startup delays and maneuvering periods, SOFCs and PEMFCs are integrated into the system. The CO2 capture system is designed to comply with international and local regulations. Thermodynamic analysis, conducted using ASPEN HYSYS V12.1, includes the development of equations based on the laws of thermodynamics to evaluate system performance indicators and optimize component design. The proposed system demonstrates energy and exergy efficiencies of 68.76% and 33.58%, respectively, with waste heat recovery cycles contributing an additional 2100.42 kW, equivalent to 35.6% of the total output. A parametric study reveals that varying current density impacts energy efficiency, highlighting the system's sensitivity to operational parameters. This integrated approach, harnessing LNG cold energy and waste heat recovery for CO2 capture, aligns with International Maritime Organization (IMO) emissions regulations, facilitating environmentally sustainable shipping practices.
Forward Error Correction based Adaptive data frame format for Optical camera communication
Nguyen, Quoc Huy,Kim, Hyung-O,Lee, Minwoo,Cho, Juphil,Lee, Seonhee The Institute of Internet 2015 Journal of Advanced Smart Convergence Vol. No.
Optical camera communication (OCC) is an extension of Visible Light Communication. Different from traditional visible light communication, optical camera communications is an almost no additional cost technology by taking the advantage of build-in camera in devices. It was became a candidate for communication protocol for IoT. Camera module can be easy attached to IoT device, because it is small and flexible. Furthermore almost smartphone equip one or two camera for both back and font side with high quality and resolution. It can be utilized for receiving the data from LED or positioning. Actually, OCC combines illumination and communication. It can supply communication for special areas or environment where do not allow Radio frequency such as hospital, airplane etc. There are many concept and experiment be proposed. In this paper we proposed utilizing Android smart-phone camera for receiver and introduce new approach in modulation scheme for LED at transmitter. It also show how Manchester coding can be used encode bits while at the same time being successfully decoded by Android smart-phone camera. We introduce new data frame format for easy decoded and can be achieve high bit rate. This format can be easy to adapt to performance limit of Android operator or embedded system.
Nguyen Quoc Huy,Duong Phan Anh,Ryu Bo Rim,Lee Jin Uk,Kang Ho Keun 한국항해항만학회 2022 한국항해항만학회 학술대회논문집 Vol.2022 No.2
Hydrogen is bridge fuel with high energy content and environmentally friendly to satisfy the stringent IMO regulation relating to greenhouse gas (GHG) emissions. There is growing interest in hydrogen in numerous nations and regions illustrated by an extensive range of research and development in technology. Regarding maritime applications, researchers have recognized the utilization of hydrogen as a fuel for fuel cells, a device that converts the chemical energy of the fuel to electrical energy. Solid oxide fuel cell (SOFC), with high working temperature, is easy to combine with the waste heat recovery cycles/devices to increase output power and thermodynamic performances as well. Furthermore, the cold energy from liquid hydrogen supplied to SOFC can also be used to generate more power. In this study, we proposed a SOFC integrated system with the idea of combining the waste heat recovery from the SOFC exhaust stream and cold energy utilization from LH2. The designation is aimed to target small-scale vessel which uses electric propulsion for short distances voyage.
Design an Automatic System to Control and Monitor the Process of Straw Mushrooms Indoors Cultivation
Quoc Cuong Nguyen,Quoc Huy Nguyen,Jaesang Cha The Institute of Internet 2024 International Journal of Internet, Broadcasting an Vol.16 No.2
Current straw mushroom farming in countries with large rice growing areas has great development potential, and was once considered a way to generate additional income and reduce poverty in rural areas. However, currently most people still grow mushrooms using traditional processes, leading to low productivity and unguaranteed output quality. Currently, due to climate change and unusual weather changes, people tend to switch to growing straw mushrooms indoors. In the process of growing straw mushrooms indoors, the design of an automatic control and monitoring system is very important to ensure the growing process is carried out effectively and achieves high yields. In this paper, we propose a system that can automatically control and monitor the humidity and temperature of the indoor straw mushroom growing process and other parameters that can be monitored through a network system using Internet of Things. The control algorithm automatically adjusts the grow house equipment based on feedback from sensors to maintain an optimal environment for growing straw mushrooms. Experimental results show that the straw mushroom growing system with automatically controlled and monitored environmental parameters helps improve efficiency, reduce costs and increase the sustainability of the current straw mushroom growing industry.
Study on Automatic Human Body Temperature Measurement System Based on Internet of Things
Quoc Cuong Nguyen,Quoc Huy Nguyen,Jaesang Cha The Institute of Internet 2024 International Journal of Internet, Broadcasting an Vol.16 No.2
Body temperature plays an important role in medicine, some diseases are characterized by changes in human body temperature. Monitoring body temperature also allows doctors to monitor the effectiveness of medical treatments. Accurate body temperature measurement is key to detecting fevers, especially fevers related to infection with the SARS-CoV-2 virus that caused the recent Covid-19 pandemic in the world. The solution of measuring body temperature using a thermal camera is fast but has a high cost and is not suitable for some organizations with difficult economic conditions today. Use a medical thermometer to measure body temperature directly for a slow rate, making it easier to spread disease from person to person. In this paper, we propose a completely automatic body temperature measurement system that can adjust the height according to the person taking the measurement, has a measurement logging system and is monitored via the internet. Experimental results show that the proposed method has successfully created a fully automatic human body measurement system. Furthermore, this research also helps the school's scientists and students gain more knowledge and experience to apply Internet of Things technology in real life.
A study on performances of SOFC integrated system for hydrogen-fueled vessel
Quoc Huy Nguyen,Phan Anh Duong,류보림,강호근 한국마린엔지니어링학회 2023 한국마린엔지니어링학회지 Vol.47 No.3
Hydrogen is a bright future energy carrier with high energy content and an environmentally friendly, sustainable source of energy for end-use. Regarding maritime applications, hydrogen can be utilized in fuel cells. Researchers have recognized the solid oxide fuel cell (SOFC) for converting the chemical energy of hydrogen into electricity at a better efficiency than previous technologies. The SOFC has a high working temperature of 700°C to 900°C and is easy to combine with the waste heat recovery cycles to increase output power and thermodynamic performances as well. In this work, the conceptual design of a hydrogen supply system for SOFC combined with an Organic Rankine Cycle (ORC) and a refrigeration system is proposed and presented. The designation is aimed to target training ships that use electric propulsion. The integrated system's energy and exergy efficiencies are 66.56% and 56.8%, respec-tively. The ORC's energy and exergy efficiencies are 10.11% and 15.31%, respectively. The parametric analysis revealed that the ORC's turbine input temperature, current density, fuel utilization factor, and are the main factors influencing system performance.