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Compass Detection Algorithm based on Image Corner
Jia Li,Jinliang Wang,Ping Duan 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.5
To improve the Features from Accelerated Segment Test (FAST) algorithm such as artificial threshold setting and the choice and ordering of continuous points on circle, a novel compass detection algorithm is proposed. The algorithm uses four compasses as the test mask and calculates threshold value based on image intensity feature. Four compasses are used to pre-detect corners. In order to improve the location accuracy of corners, pseudo response on skewed edges is eliminated. Finally, multiple adjacent responses are tackled by keeping only points which have extremal value of Laplacian. Comparative experiments between FAST and the proposed algorithm are carried out with respect to validity, robustness and efficiency. The results show that the detected corners by the proposed algorithm are accurately located and well-distributed.
Evacuation of Nursing Home Based on Massmotion: Effect of the Distribution of Dependent Elderly
Jia Li,Jinghong Wang,Bowei Jin,Yan Wang,Youran Zhi,Zhirong Wang 대한토목학회 2020 KSCE Journal of Civil Engineering Vol.24 No.4
As dramatically increased elderly population, China is entering a society of deep aging. Due to the decline of physical functions, the elderly move slowly and have difficulty in escape. Hence, enough attention should be paid on pedestrian crowds’ evacuation in a nursing home. This paper takes Chinese old-age care institutions as the research object. Using the Massmotion based on the social force to establish the evacuation model and setting the parameters according to the movement characteristics of the elderly, this paper studied the influence of the dependent elderly on evacuation efficiency when they are distributed to the higher floors of the nursing home in different proportions. The results show that the evacuation time is significantly prolonged with the increase of the proportion of dependent elderly, and there is a controllable critical value for the proportion of dependent elderly. Aspeed-up phenomenon is observed when the old man enters the landing from the stairway, and meanwhile, with the increase of the proportion of dependent elderly, the acceleration position is gradually advanced, while the instantaneous speed declines. The results of this study can provide references in properly arranging the distribution of elderly accommodation and safe evacuation of the aged care institutions.
Conversion of egg shell membrane to inorganic porous CexZr1-xO2 fibrous network
Jia Li,Ka Lok Chiu,Fung Luen Kwong,Dickon H.L. Ng,Sammy L.I. Chan 한국물리학회 2009 Current Applied Physics Vol.9 No.6
The binary system CeO2–ZrO2 is thermally stable and has superior reduction–oxidation properties. It has been commonly used in the three-way catalytic converters for automobiles. In this work, an inorganic biomorphic porous CexZr1-xO2 fibrous network was successfully synthesized by using the egg shell membrane (ESM) as templates, and its morphology was a perfect replica of the original ESM. The synthesis involved a simple infiltration and calcination process. A fresh ESM was peeled from a chicken egg shell. It was soaked in a Ce(NO3)3 and Zr(NO3)4 mixture before it was calcined at 700 ℃ in ambient environment. The fibers in the biomorphic network had diameter ranged from 1 to 4 ㎛, and they were composed of CexZr1-xO2 nanocrystallites having an average grain size of ~10 nm. The binary system CeO2–ZrO2 is thermally stable and has superior reduction–oxidation properties. It has been commonly used in the three-way catalytic converters for automobiles. In this work, an inorganic biomorphic porous CexZr1-xO2 fibrous network was successfully synthesized by using the egg shell membrane (ESM) as templates, and its morphology was a perfect replica of the original ESM. The synthesis involved a simple infiltration and calcination process. A fresh ESM was peeled from a chicken egg shell. It was soaked in a Ce(NO3)3 and Zr(NO3)4 mixture before it was calcined at 700 ℃ in ambient environment. The fibers in the biomorphic network had diameter ranged from 1 to 4 ㎛, and they were composed of CexZr1-xO2 nanocrystallites having an average grain size of ~10 nm.
An Efficient Sparse Code Fusion Method for Image Enhancement
Jia Li,Yi Dong,Fangyuan Jiao 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.8
Image enhancement can improve the perception of information for human viewers, which is also a basic and pretty significant role in image processing. However, there also exist some limitations in most image enhancement algorithms. In this paper discuss the limitations of existing techniques of image enhancement. In order to solve the limitations well, a novel sparse code fusion (SCF) method is proposed, in which combine piecewise dictionaries strategy. The proposed method firstly is that color space conversion from RGB to Ycbcr color space, secondly enhanced Y component using piecewise sparse code fusion strategy, finally color image reconstruction. Experimental results show that our method can
Jia Li,Yan An,Jia-Ning Wang,Xiao-Ping Yin,Huan Zhou,Yong-Sheng Wang 대한생리학회-대한약리학회 2020 The Korean Journal of Physiology & Pharmacology Vol.24 No.5
This study aimed to evaluate the effect of curcumin on brain hypoxicischemic (HI) damage in neonatal rats and whether the phosphoinositide 3-kinase (PI3K)/Akt/vascular endothelial growth factor (VEGF) signaling pathway is involved. Brain HI damage models were established in neonatal rats, which received the following treatments: curcumin by intraperitoneal injection before injury, insulin-like growth factor 1 (IGF-1) by subcutaneous injection after injury, and VEGF by intracerebroventricular injection after injury. This was followed by neurological evaluation, hemodynamic measurements, histopathological assessment, TUNEL assay, flow cytometry, and western blotting to assess the expression of p-PI3K, PI3K, p-Akt, Akt, and VEGF. Compared with rats that underwent sham operation, rats with brain HI damage showed remarkably increased neurological deficits, reduced right blood flow volume, elevated blood viscosity and haematocrit, and aggravated cell damage and apoptosis; these injuries were significantly improved by curcumin pretreatment. Meanwhile, brain HI damage induced the overexpression of p-PI3K, p-Akt, and VEGF, while curcumin pretreatment inhibited the expression of these proteins. In addition, IGF-1 treatment rescued the curcumin-induced down-regulated expression of p- PI3K, p-Akt, and VEGF, and VEGF overexpression counteracted the inhibitory effect of curcumin on brain HI damage. Overall, pretreatment with curcumin protected against brain HI damage by targeting VEGF via the PI3K/Akt signaling pathway in neonatal rats.
Composition modulation of Cu/Cu2O/CuO nanoparticles supported on carbon for p-nitrophenol reduction
Jia Li,Wei Liu,Yongxin Ding,Likui Liu,Fang Li,Qiming Li 한국화학공학회 2019 Korean Journal of Chemical Engineering Vol.36 No.6
Porous carbon supported Cu/Cu2O/CuO ternary catalysts were fabricated by pyrolysis, in which composition modulation of Cu/Cu2O/CuO was successfully realized by adjusting annealing atmosphere. The correlation between annealing atmosphere and composition of Cu/Cu2O/CuO ternary nanoparticles was deeply investigated. XRD and SEM measurement shows that the composition proportion of Cu/Cu2O/CuO can be effectively controlled by adjusting the annealing atmosphere. HR-TEM and EDS analysis showed that Cu/Cu2O/CuO ternary nanoparticles are highly dispersed into the carbon matrix and harvest more hetero-junction active sites. The effect of Cu/Cu2O/CuO composition on their catalytic activity was investigated in catalytic reduction from p-nitrophenol to p-aminophenol. The experimental result indicated that the catalytic activity of Cu/Cu2O/CuO ternary catalysts exhibits higher catalytic activity than Cu2O/CuO or CuO particles. This work provides a new strategy for synthesizing and modulating porous carbon-supported Cu/Cu2O/CuO ternary nanoparticles.
Jiali Gao,Chi Wang,Yunbo Hao,Xudong Liang,Kai Zhao 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.3
Laser metal deposition process usually involves the nonlinear interaction of multiple factors, such as process parameters and ambient temperature. In this study, random forest (RF) and multilayer back propagation neural network (BPNN) algorithms were employed to investigate the coupling relationship between process parameters and single-track geometry in laser metal deposition for TC11 alloy. With laser power, scanning speed, and powder feeding rate as inputs and track width and height as outputs, 30 different groups of experimental results were adopted as training groups. Their geometries were also predicted. The maximum relative errors of track width and height predictions based on BPNN model were 0.007 % and 0.029 %, respectively, which were lower than those based on RF model. Then, the two models were used to predict the geometry under four new sets of process parameters. Experimental results showed that the maximum error of BPNN model is lower than that of RF model. BPNN model also showed potential to improve cladding quality and efficiency.