A Novel Simulation Approach of Aircraft Dynamic RCS

Zhuang, Yaqiang; Zhang, Chenxin; Zhang, Xiaokuan

doi:10.2528/pierm14040311

Cited by 19 publications

(20 citation statements)

References 10 publications

(10 reference statements)

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“…Dietary curcumin (0.5% in diet) also improved increased levels of fasting blood glucose in STZ-induced diabetic rats [25,27]. The work of curcumin revealed that an IC 50 value that was 36.9 mmol/L when compared with aldehyde dehydrogenase 1 inhibitors, which are chiefly therapeutic drugs for diabetes.…”

Section: Figmentioning

confidence: 96%

Screening alpha‐glucosidase and alpha‐amylase inhibitors from natural compounds by molecular docking in silico

et al. 2015

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The alpha-glucosidase inhibitor is a common oral anti-diabetic drug used for controlling carbohydrates normally converted into simple sugars and absorbed by the intestines. However, some adverse clinical effects have been observed. The present study seeks an alternative drug that can regulate the hyperglycemia by down-regulating alpha-glucosidase and alpha-amylase activity by molecular docking approach to screen the hyperglycemia antagonist against alpha-glucosidase and alpha-amylase activities from the 47 natural compounds. The docking data showed that Curcumin, 16-hydroxy-cleroda-3,13-dine-16,15-olide (16-H), Docosanol, Tetracosanol, Antroquinonol, Berberine, Catechin, Quercetin, Actinodaphnine, and Rutin from 47 natural compounds had binding ability towards alpha-amylase and alpha-glucosidase as well. Curcumin had a better biding ability of alpha-amylase than the other natural compounds. Analyzed alpha-glucosidase activity reveals natural compound inhibitors (below 0.5 mM) are Curcumin, Actinodaphnine, 16-H, Quercetin, Berberine, and Catechin when compared to the commercial drug Acarbose (3 mM). A natural compound with alpha-amylase inhibitors (below 0.5 mM) includes Curcumin, Berberine, Docosanol, 16-H, Actinodaphnine/Tetracosanol, Catechin, and Quercetin when compared to Acarbose (1 mM). When taken together, the implication is that molecular docking is a fast and effective way to screen alpha-glucosidase and alpha-amylase inhibitors as lead compounds of natural sources isolated from medicinal plants.

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Section: Figmentioning

confidence: 96%

Screening alpha‐glucosidase and alpha‐amylase inhibitors from natural compounds by molecular docking in silico

et al. 2015

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“…The bandwidth of waveform,

B_{F M}

is 200 MHz, the number of range bins,

N_{F F T}

is 256, the number of chirps per one burst,

N_{c h i r p}

is 119, and the duration of one chirp,

T

is 33 µsec. One of the advantages of FMCW radar is its inherent capability of computing the distance as well as the speed of moving object by applying 2‐dimensional fast Fourier transform (FFT) of the FMCW beat frequency . However, in processing FFT, main lobe that obtains the received target signal is not significantly distinguished with side lobe, and thus we reduce the side lobe and amplify the main lobe by applying Hanning window .…”

Section: Experimental Results With Real Fmcw Radarmentioning

confidence: 99%

RCS based target recognition with real FMCW radar implementation

Lee

Choo

Kim

et al. 2016

Microw. Opt. Technol. Lett.

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In this article, we investigate the methods that can realize automatic target recognition and tracking by exploiting signal distribution of radar cross section (RCS) with frequency modulated continuous wave (FMCW) radar. In doing this we use the real RCS data measured from the short‐range FMCW vehicle radar. We estimate the continuous valued degree of freedom and the mean of RCS distribution using maximum likelihood estimation (MLE) assuming that RCS follows gamma distribution. The experiments with real radar verify that parameterized gamma distributions for three targets of man, vehicle, and drone closely follow the empirical distributions. Then, we apply maximum a posteriori criterion (MAP) for target recognition. The average recognition probabilities for man, vehicle, and drone using MAP are 85%, 100%, and 92%, respectively. Since the vehicle has distinct RCS and thus perfectly recognizable, we apply a support vector machine (SVM) hoping to better classify the man and the drone. The man is recognized with similar accuracy, but the drone is not due to the lack of training samples, of which constraint is imposed by real implementation and experiment. © 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:1745–1750, 2016

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“…Pasqui et al [10] proposed a method to assess the efficiency of smart-walkers by measuring the time cost of different walkers when users were required to complete a series of movements. Other types of robotics to assist walking and lower limb rehabilitation have also been studied these include a new design of an exoskeleton system presented by Castro et al [11], a new robot design for children with cerebral palsy presented by Giergiel et al [12] and a mechanism model of a lower limb passive rehabilitation system built by Zhang et al [13]. In addition, some researchers have also studied the psychological aspects of lower limb rehabilitation.…”

Section: A Literature Reviewmentioning

confidence: 99%

Development Of A Rehabilitation Mobility Assistive Device

Han¹,

Fotouhi²,

Bitner³

2018

Progress in Canadian Mechanical Engineering

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the aim of the overall research presented here was to investigate the motion of a wheeled mobile robot in an indoor (structured) setting while following a pre-set trajectory. An example of an application for this research would be automated maneuvering of a smart power wheelchair in a health care setting, such as a hospital, which would benefit the aging Canadian population. For the specific research reported here, the aim was to investigate the mobility of an assistive device for Sit-to-Stand (STS) operation and walking. A rehab robot was developed and was attached to a wheeled mobile robot to accomplish STS operation and to help walk a patient for rehabilitation. Four major phases of this research are: (i) design of the rehab robot, (ii) development of the control algorithm, (iii) experimentation, and (iv) navigation of the mobile robot and the rehab walker (robot). This research project can be extended to lower limb rehabilitation and design of a smart walker. It intensively studied current research and projects, designed a rehab robot and four control algorithms to help people in both STS and walking processes. Experiments were implemented, and the results indicated the effectiveness of the control algorithms and the prescribed navigation algorithm. According to the results, this project achieved the original goals to assist people in standing up and walking, and to navigate to a pre-set location.

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A Novel Simulation Approach of Aircraft Dynamic RCS

Cited by 19 publications

References 10 publications

Screening alpha‐glucosidase and alpha‐amylase inhibitors from natural compounds by molecular docking in silico

Screening alpha‐glucosidase and alpha‐amylase inhibitors from natural compounds by molecular docking in silico

RCS based target recognition with real FMCW radar implementation

Development Of A Rehabilitation Mobility Assistive Device

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