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A Binary-Weighted Switching and Reconfiguration-Based Programmable Gain Amplifier
Huy-Hieu Nguyen,Hoai-Nam Nguyen,Jeong-Seon Lee,Sang-Gug Lee IEEE 2009 IEEE Transactions on Circuits and Systems II: Expr Vol.56 No.9
<P>In previous works, the authors reported on binary-weighted switching and reconfiguration techniques to design programmable gain amplifiers (PGAs) with a wide decibel (dB)-linear range, a small gain error, a wide 3-dB bandwidth, and high linearity. In this brief, two techniques are analyzed in more detail. Adopting the two techniques, a new low-voltage PGA version is proposed that offers a precise and process/temperature-insensitive gain and achieves a double dB-linear range with a small gain error while maintaining the same chip size, as compared with those of previous designs. Implemented in 0.18-mum CMOS, from the measurements, the proposed PGA shows a dB-linear gain range of 42 dB (-21 to 21 dB) with a gain error of less than plusmn 0.54 dB, a maximum input-referred third-order intercept point (IIP3) of 14 dBm, and a 3-dB bandwidth of 60 MHz at the maximum gain while consuming only 2.1 mA from a 1.5-V supply.</P>
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).
Huy Van Nguyen,Hieu Trung Tran,Long Quynh Khuong,Thanh Van Nguyen,Na Thi Nhi Ho,An Thi Minh Dao,Minh Van Hoang 대한예방의학회 2020 예방의학회지 Vol.53 No.4
Objectives: Although the World Health Organization (WHO) initiative “My 5 Moments for Hand Hygiene” has been lauded as effective in preventing hospital-associated infections, little is known about healthcare workers (HCWs)’ hand hygiene behavior. In this study, we sought to assess knowledge and attitudes towards the concepts in this initiative, as well as associated factors, among Vietnamese HCWs at a general hospital. Methods: A structured questionnaire was administered to HCWs at a central Vietnamese general hospital in 2015. Multiple logistic regression analysis was used to identify factors associated with HCWs’ knowledge and attitudes towards hand hygiene. Results: Of 120 respondents, 65.8% and 67.5% demonstrated appropriate knowledge and a positive attitude, respectively, regarding all 5 hand hygiene moments. Logistic regression indicated better knowledge of hand hygiene in workers who were over 30 years old, who were direct HCWs (rather than managers), who had frequent access to clinical information, and who received their clinical information from training. Those who worked in infectious and tropical disease wards, who had frequent access to clinical information, and who received information from training were more likely to have a positive attitude towards hand hygiene than their counterparts. Conclusions: Although many Vietnamese HCWs displayed moderate knowledge and positive attitudes towards the WHO hand hygiene guidelines, a key gap remained. Regular education and training programs are needed to increase knowledge and to improve attitudes and practices towards hand hygiene. Furthermor
A High-Linearity Low-Noise Reconfiguration-Based Programmable Gain Amplifier
한석균,Huy-Hieu Nguyen,이상국 대한전자공학회 2013 Journal of semiconductor technology and science Vol.13 No.4
This paper presents a high-linearity lownoisesmall-size programmable gain amplifier (PGA)based on a new low-noise low-distortion differentialamplifier and a proposed reconfiguration technique. The proposed differential amplifier combines aninverter-based differential pair with an adaptivebiasing circuit to reduce noise and distortion. Thereconfiguration technique saves the chip size by halfby utilizing the same differential pair for the inputtransconductance and load-stage, interchangeably. Fabricated in 0.18-μm CMOS, the proposed PGAshows a dB-linear control range of 21dB in 16 stepsfrom -11 dB to 10 dB with a gain error of less than±0.33 dB, an IIP3 of 7.4~14.5 dBm, a P1dB of -7~1.2dBm, a noise figure of 13dB, and a 3-dB bandwidth of270MHz at the maximum gain, respectively. The PGAoccupies a chip area of 0.04 mm2 and consumes only1.3 mA from the 1.8 V supply.
Yang Sun,Nguyen Huy Hieu,Chang-Jin Jeong,Sang-Gug Lee IEEE 2012 IEEE TRANSACTIONS ON POWER ELECTRONICS - Vol.27 No.2
<P>In this letter, a highly efficient active full-bridge rectifier is proposed for piezoelectric (PE) vibration energy harvesting systems. By replacing the passive diodes with an operational amplifier-controlled active counterpart and adding a switch in parallel with the transducer, the proposed rectifier solves the dc-offset problem of the comparator-based active diode, minimizes the voltage drop along the conduction path, and extracts more power from the transducer, all of which lead to better power extraction and conversion capability. The proposed rectifier, implemented in 0.18-μm CMOS technology, shows 90% power conversion efficiency and 81 μW output power, with values corresponding to 1.5 times and 3.4 times the values for a conventional full-bridge rectifier.</P>
A Piezoelectric Energy Harvester with High Efficiency and Low Circuit Complexity
Xuan-Dien Do,Huy-Hieu Nguyen,Seok-Kyun Han,Dong Sam Ha,Sang-Gug Lee 대한전자공학회 2015 Journal of semiconductor technology and science Vol.15 No.3
This paper presents an efficient vibration energy harvester with a piezoelectric (PE) cantilever. The proposed PE energy harvester increases the efficiency through minimization of hardware complexity and hence reduction of power dissipation of the circuit. Two key features of the proposed energy harvester are (i) incorporation synchronized switches with a simple control circuit, and (ii) a feed-forward buck converter with a simple control circuit. The chip was fabricated in 0.18 μm CMOS processing technology, and the measured results indicate that the proposed rectifier achieves the efficiency of 77%. The core area of the chip is 0.2 mm2.
A survey of IoT malware and detection methods based on static features
Quoc-Dung Ngo,Huy-Trung Nguyen,Van-Hoang Le,Doan-Hieu Nguyen 한국통신학회 2020 ICT Express Vol.6 No.4
Due to a lack of security design as well as the specific characteristics of IoT devices such as the heterogeneity of processor architecture, IoT malware detection has to deal with very unique challenges, especially on detecting cross-architecture IoT malware. Therefore, the IoT malware detection domain is the focus of research by the security community in recent years. There are many studies taking advantages of well-known dynamic or static analysis for detecting IoT malware; however, static-based methods are more effective when addressing the multi-architecture issue. In this paper, we give a thorough survey of static IoT malware detection. We first introduce the definition, evolution and security threats of IoT malware. Then, we summarize, compare and analyze existing IoT malware detection methods proposed in recent years. Finally, we carry out exactly the methods of existing studies based on the same IoT malware dataset and an experimental configuration to evaluate objectively and increasing the reliability of these studies in detecting IoT malware.
알칼리 활성화제 5%를 혼입한 고로슬래그 기반 섬유보강 복합재료의 초기재령 인장 특성
렁쾅휴 ( Luong Quang Hieu ),윈홍휘 ( Nguyen Hoang Huy ),최정일 ( Choi Jeong-il ),이방연 ( Lee Bang-yeon ) 한국구조물진단유지관리공학회 2020 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.24 No.1
이 연구에서는 알칼리 활성화제를 종류에 따라 5% 혼입한 고로슬래그 기반 섬유보강 복합재료의 초기재령 인장 특성을 조사하였다. 실험 결과, 인장변형성능은 규산나트륨을 혼입한 배합이 수산화칼슘 및 수산화나트륨을 혼입한 배합보다 우수한 것으로 나타났고, 인장강도는 수산화나트륨을 혼입한 배합이 가장 우수한 것으로 나타났다.