82 research outputs found
Fully Synthesizable Dynamic Voltage Comparator across technology nodes and scaled supply voltages
No full textA fully synthesizable rail-to-rail dynamic voltage comparator referring to different technology nodes and supply voltages down to 0.3V is presented in this paper. The analyzed circuit is composed of standard cells only so that the design flow can be automated, and based on its digital nature, it enables a supply voltage scaling down to deep sub-threshold. The specifications of the same topology are investigated with post-layout simulations under different technology nodes such as 180nm, 130nm, and 40nm and across scaled supply voltage ranging from 0.9 down to 0.3 V. Delay versus common and differential mode of the input and power and offset versus common mode. On this basis, pros and contras across technology and voltage scaling are highlighted to suit integration into sensor nodes for the Internet of Things and related applications
Computational fluid dynamic model for smoke control of building basement
No full textFire accidents cause damage and injuries; hence, fire protection is imperative for building construction. Smoke control reduces smoke concentrations as well as the temperature to enable evacuation of building residents. Moreover, firefighters easily extinguish fire with low smoke concentrations and temperatures. In this study, the Fire Research Station, UK standard, was applied to calculate the flow rate of the smoke exhaust fan for a basement with dimensions of 30 m × 20 m × 4 m using a computational fluid dynamic (CFD) code in the transient mode. The model was established by Revit 2020, and the fire simulation was conducted using Autodesk CFD 2020. The fire simulation was analyzed under the total exhaust fan volume values of 20000 m3/h, 50000 m3/h and 100000 m3/h, the air change per hour (ACH) values equivalent to 8.5, 21 and 42.5, respectively. The results reveal that the total exhaust fan volume of 100000 m3/h is optimum because at 1200 s, after the fire, the temperature of the basement is less than 1.4 m is less than 65 °C, and smoke visibility is ∼10 m. Moreover, the amount of smoke escaping through the doors was the lowest. This condition is suitable for evacuation and for firefighters to put out the fire. In addition, a volume of 100000 m3/h was compatible with the formula of the standard. Therefore, Autodesk CFD is also an optimum choice for engineers to verify their design before conducting site work to save time and increase confidence
Radial Basis Function Neural Networks for Formation Control of Unmanned Aerial Vehicles
Get PDFThis paper addresses the problem of controlling multiple unmanned aerial
vehicles (UAVs) cooperating in a formation to carry out a complex task such as
surface inspection. We first use the virtual leader-follower model to determine
the topology and trajectory of the formation. A double-loop control system
combining backstepping and sliding mode control techniques is then designed for
the UAVs to track the trajectory. A radial basis function neural network
(RBFNN) capable of estimating external disturbances is developed to enhance the
robustness of the controller. The stability of the controller is proven by
using the Lyapunov theorem. A number of comparisons and software-in-the-loop
(SIL) tests have been conducted to evaluate the performance of the proposed
controller. The results show that our controller not only outperforms other
state-of-the-art controllers but is also sufficient for complex tasks of UAVs
such as collecting surface data for inspection. The source code of our
controller can be found at https://github.com/duynamrcv/rbf_bsm
デングウイルス非構造タンパク質NS4Bの一残基変異はヒト細胞においてインターフェロンの応答を抑制しウイルス増殖および適合性を増強する
Get PDFDengue virus (DENV) replication between mosquito and human hosts is hypothesized to be associated with viral determinants that interact in a differential manner between hosts. However, the understanding of inter-host viral determinants that drive DENV replication and growth between hosts is limited. Through the use of clinical isolates, we identified an amino acid variation of Ala, Met and Val at position 116 of DENV-1 NS4B. While the proportion of virus with the NS4B-116V variant remained constantly high in serial passages in a mosquito cell line, populations of the NS4B-116M and NS4B-116A variants became dominant after serial passages in mammalian cell lines. Using recombinant DENV-1 viruses, the Val to Ala or Met alteration at position NS4B-116 (rDENV-1-NS4B-116A and rDENV-1-NS4B-116M) resulted in enhanced virus growth in human cells in comparison to the clone with Val at NS4B-116 (rDENV-1-NS4B-116V). However, the reverse phenomenon was observed in a mosquito cell line. Additionally, in a human cell line, differential levels of IFN-α/β and IFN-stimulated gene expressions (IFIT3, IFI44L, OAS1) suggested that the enhanced viral growth was dependent on the ability of the NS4B protein to hamper host IFN response during the early phase of infection. Overall, we identified a novel and critical viral determinant at the pTMD3 of NS4B region that displayed differential effects on DENV replication and fitness in human and mosquito cell lines. Taken together, the results suggest the importance of the NS4B protein in virus replication and adaptation between hosts.長崎大学学位論文 学位記番号:博(医歯薬)甲第1098号 学位授与年月日:平成30年9月20日Author: Thuy Thu Bui, Meng Ling Moi, Takeshi Nabeshima, Taichiro Takemura, Trang Thu Nguyen, Linh Ngoc Nguyen, Hang Thi Thu Pham, Thi Thu Thuy Nguyen, Dao Huy Manh, Shyam Prakash Dumre, Shusaku Mizukami, Kenji Hirayama, Shigeru Tajima, Mai Thi Quynh Le, Kiyoshi Aoyagi, Futoshi Hasebe and Kouichi MoritaCitation: Journal of General Virology, 99(8), pp.1044-1057; 201
Emission Inventory and Predict from Road Traffic Sources for Hanoi
No full textTraffic emission inventory by age-cohort vehicles is an effective tool for manager to identify exactly the main vehicles polluted the air in urban area. Hanoi is one of the largest cities in Vietnam, now is facing with the serious air pollution problems which is mainly contributed by transport vehicles. In this paper, we used the dynamics model to build an age-cohorts model to estimate and predict the emissions from vehicle fleet of Hanoi by the year 2040 as well as assess the effectiveness of the management measures. The results shows that motorcycles is the main traffic air pollution source of Hanoi, accounting for 98% CO emissions, 75% NOx emissions, 81% PM emissions and 98% HC emissions. Among that, the motorcycles at the age from 3 to 9 years is the largest contributors with 57,72% CO emission, 58,5% HC emission, 62,53% NOx emission, and 54,29% PM emission. It’s estimated that, up to the year 2040, motorcycles still is the majority emission source, with a proportion of about 89% CO, 63% NOx, and 69% PM emissions. Keyword: Emission inventory, dynamics model, Hanoi traffic.http://enviroinfo.eu/sites/default/files/pdfs/vol7233/0822.pd
Emission Inventory and Predict from Road Traffic Sources for Hanoi
No full textAbstract Traffic emission inventory by age-cohort vehicles is an effective tool for manager to identify exactly the main vehicles polluted the air in urban area. Hanoi is one of the largest cities in Vietnam, now is facing with the serious air pollution problems which is mainly contributed by transport vehicles. In this paper, we used the dynamics model to build an age-cohorts model to estimate and predict the emissions from vehicle fleet of Hanoi by the year 2040 as well as assess the effectiveness of the management measures. The results shows that motorcycles is the main traffic air pollution source of Hanoi, accounting for 98% CO emissions, 75% NO x emissions, 81% PM emissions and 98% HC emissions. Among that, the motorcycles at the age from 3 to 9 years is the largest contributors with 57,72% CO emission, 58,5% HC emission, 62,53% NO x emission, and 54,29% PM emission. It's estimated that, up to the year 2040, motorcycles still is the majority emission source, with a proportion of about 89% CO, 63% NO x , and 69% PM emissions
Deployment of UAVs for Optimal Multihop Ad-hoc Networks Using Particle Swarm Optimization and Behavior-based Control
Get PDFThis study proposes an approach for establishing an optimal multihop ad-hoc
network using multiple unmanned aerial vehicles (UAVs) to provide emergency
communication in disaster areas. The approach includes two stages, one uses
particle swarm optimization (PSO) to find optimal positions to deploy UAVs, and
the other uses a behavior-based controller to navigate the UAVs to their
assigned positions without colliding with obstacles in an unknown environment.
Several constraints related to the UAVs' sensing and communication ranges have
been imposed to ensure the applicability of the proposed approach in real-world
scenarios. A number of simulation experiments with data loaded from real
environments have been conducted. The results show that our proposed approach
is not only successful in establishing multihop ad-hoc routes but also meets
the requirements for real-time deployment of UAVs.Comment: In the 11th International Conference on Control, Automation and
Information Sciences (ICCAIS 2022), Hanoi, Vietna
An agile bicycle-like robot for complex steel structure inspection
No full textThis paper presents a simple but compact design of a bicycle-like robot for inspecting complex-shaped ferromagnetic structures. The design concept for versatile locomotion relies on two independently steered magnetic wheels formed in a bicycle-like configuration, allowing the robot to possess multi-directional mobility. The key feature of a reciprocating mechanism enables the robot to change its shape when passing obstacles. A dynamic joint of the robot configuration makes it naturally adapt to uneven and complex surfaces of steel structures. We demonstrate the usability and practical deployment of the robot for steel thickness measurement using an ultrasonic sensor
An agile bicycle-like robot for complex steel structure inspection
No full textThis paper presents a simple but compact design of a bicycle-like robot for inspecting complex-shaped ferromagnetic structures. The design concept for versatile locomotion relies on two independently steered magnetic wheels formed in a bicycle-like configuration, allowing the robot to possess multi-directional mobility. The key feature of a reciprocating mechanism enables the robot to change its shape when passing obstacles. A dynamic joint of the robot configuration makes it naturally adapt to uneven and complex surfaces of steel structures. We demonstrate the usability and practical deployment of the robot for steel thickness measurement using an ultrasonic sensor
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