Shaojie Weng

Hainan University

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i-10 index

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Co-Authors

Haoyi Lu

University of Wisconsin–Madison

Chaoyan Liang

Hainan Agricultural School

Dongyun Zhu

Sixth Affiliated Hospital of Sun Yat-sen University

Rongnian Tang

Hainan University

Fan Chunli

Naval University of Engineering

Qingfen Ma

Hainan University

Yong Wang

Chinese Academy of Surveying and Mapping

Wenyu Lai

Shanghai Jiao Tong University

Shihao Liu

State Key Laboratory on Integrated Optoelectronics

Haixuan Fang

Hainan University

Cooperative Institutions

Hainan University

Tianjin University

Beijing University of Technology

Shanghai Jiao Tong University

State Key Laboratory on Integrated Optoelectronics

Jilin University

Hainan Agricultural School

Naval University of Engineering

Nantong Science and Technology Bureau

Dalian University of Technology

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Application research on A/D converter inside of embedded micro-controller

Semiconductor Technology (2002)

Shaojie Weng

This paper analyzes the A/D converter structure character inside of micro-controller. It especially gives deep analysis on the problems of the following aspects: the effect of the analogue input signal source inner resistance to the sampling process, whether the analogue input signal source value and polarity fit the requirement of A/D converter and the effect of the variation of working power to the converting precision. Then the paper brings up the solution.

Polarity (international relations)

SIGNAL (programming language)

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Study on Prediction Model of Aquaculture Water Quality Based on Artificial Neural Network

Hubei nongye kexue (2013)

Shaojie Weng

Since the aquaculture pond is a multi-variables,nonlinearity and long-time lag system,the traditional water quality prediction method could not easily establish an accurate model.Neural network has the advantage of approximating the nonlinear function,it is an ideal method for dealing with the complex problems such as prediction of water quality.A prediction model of pH based on BP neural network was established by applying a dynamic self-adaptive learning method and model optimization.This model was completed by programming with neural network toolbox of MATLAB.The results showed that the average relative error was less than 1% between the value of prediction and the measured value when the trained network was applied in prediction.It was indicated that the prediction model of aquaculture water quality based on self-adaptive BP algorithm had good accuracy and precision,and it could effectively predict the fishery water quality.

Backpropagation

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Coarse Iris Classification Using Histogram Statistics Features

Guangdian gongcheng (2011)

Rongnian Tang Shaojie Weng Yong Wang

Aimed to improving the performance of iris matching, a new method for the coarse classification of iris images using Histogram statistics features is proposed. First, the iris image is segmented into eight blocks. Then, we calculate the Histogram ratio of these image blocks and take them as the class feature of iris image type. Finally, the iris images are classified into five categories in accordance with the similarity of blocks. The proposed method has been tested and evaluated on 500 iris cases from CASIA iris database. The experiment results shows that the proposed method classifies iris types with an accuracy of 98.2%. Compared with the initial Daugman iris matching method, a modified matching method, the proposed method with Daugman method, has lower equal error rate and decreases 29.4% matching time.

Iris Recognition

IRIS (biosensor)

Feature (linguistics)

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Improving Iris Segmentation Performance Via Borders Recognition

Rongnian Tang Shaojie Weng

This paper is focus on the analysis of the ability of iris segmentation method to process images with heterogeneous characteristics, simulating the dynamics of a non-cooperative environment. Aimed to improve the performance of iris segmentation method in non-cooperative environment, the authors introduce a new method. According to the different characteristics of the inner border and outer border of the iris, this new method segments iris by two steps: one step for inner border based on simple intensity operator, and the other step for outer border based on border recognition with support vector machine classifier. The performance of the proposed method and three selected traditional methods had been tested on the UBIRIS database. Compared with the traditional methods, the proposed method has more exactly accurate and less computation time on the image with poor quality. Also, the proposed method is higher robustness and less dependent on iris image conditions.

Robustness

Iris Recognition

IRIS (biosensor)

10.1109/icicta.2011.430

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Citations (14)

Effects of wind intermittence and fluctuation on reverse osmosis desalination process and solution strategies

Desalination (2016)

Wenyu Lai Qingfen Ma Hui Lu Shaojie Weng Fan Jun-qing

Flywheel

10.1016/j.desal.2016.05.019

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Citations (64)

Vascular Leak in Melanoma is Triggered by VEGF and Other Secreted Factors

The FASEB Journal (2008)

Martin S. Kluger Shaojie Weng

Because leaky blood vessels promote melanoma progression and blockade of VEGF‐A by Avastin (bevacizumab; FDA‐approved anti‐VEGF‐A) is only partially effective, we have developed new models for studying the endothelial cell (EC) response to YUSIT, a human melanoma cell line. Human dermal microvascular EC (HDMEC) forming leak‐resistant monolayers on transwells reduced transendothelial electrical resistance (TEER) by 50% at 24 h when co‐cultured with YUSIT, suggesting YUSIT secrete leak‐inducing factors. Indeed, YUSIT conditioned medium contains VEGF‐A (6 ng/ml) and incubation with HDMEC decreased TEER 40–50% by 4 h. Although this response was inhibitable by Avastin, TEER was partially decreased even by conditioned medium depleted of VEGF. Adding back a small amount of VEGF (0.2 ng/ml) to VEGF‐depleted conditioned medium decreased TEER more effectively than a 100‐fold greater VEGF concentration in fresh medium, suggesting YUSIT secrete additional leak factors. YUSIT injected s.c. formed leaky tumors in human skin grafted onto immunodeficient SCID mice and conditioned medium elicited vascular leak as well as high concentration VEGF; depleting conditioned medium of VEGF removed most of the in vivo leak activity. We conclude melanoma VEGF and other secreted factors trigger vascular leak and that these new models can be used for understanding how human EC contribute to melanoma progression. Supported by NCI.

10.1096/fasebj.22.1_supplement.1119.3

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Structural Bionic Design for Digging Shovel of Cassava Harvester Considering Soil Mechanics

DOAJ (DOAJ: Directory of Open Access Journals) (2014)

Shihao Liu Shaojie Weng Yulan Liao Dongyun Zhu

In order to improve the working performance of cassava harvester, structural bionic design for its digging shovel was conducted. Taking the oriental mole cricket's paws as bionic prototype, a new structural bionic design method for digging shovel was established, which considers the morphology-configuration-function coupling bionic. A comprehensive performance comparison method was proposed, which is used to select the bionic design schemes. The proposed bionic design method was used to improve digging shovel structure of a digging-pulling style cassava harvester, and nine bionic-type digging shovels were obtained with considering the impact of soil mechanics. After conducting mechanical properties comparative analysis for bionic-type digging shovels, the bionic design rules were summed up, and the optimal design scheme of digging shovel was obtained through combining the proposed comprehensive performance comparison method with Analytic Hierarchy Process (AHP). Studies have shown that bionic design method not only can improve the overall mechanical properties of digging shovel, but also can help to improve the harvesting effect of cassava harvester, which provides a new idea for crops harvesting machinery's structural optimization design.

Digging

Shovel

Bionics

10.3233/abb-140089

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Citations (5)

Semiconductor Protection and Control System of Vehicle Circuits

SAE technical papers on CD-ROM/SAE technical paper series (2010)

Haoyi Lu Shaojie Weng Chaoyan Liang

10.4271/2010-01-0037

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Experimental Study on the Drying Process Characteristics of Pennisetum x P.americanum cv Reyan No.4

Journal of Agricultural Mechanization Research (2006)

Shaojie Weng

The relationships of water content in Pennisetum x P.americanum cv Reyan No.4 and drying time, the temperature of drying medium were studied through thin-layer rapid-drying experiments, and analyzed the factors affecting nutrient compositions. The results showed that the most proper temperature for rapid-drying of the pasture was 140°~180℃ and the fresh pasture had to be dried rapidly within 24 hours after cut.

Pennisetum

Thin layers

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Design on Automatic Monitoring System of Aquiculture Environmental Factors Based on AT89C51

Agriculture Network Information (2012)

Shaojie Weng

Aimed at the monitoring of the important water quality factors such as dissolved oxygen,pH value and temperature in aquiculture,an environmental factors automatic monitoring system was designed,with a personal computer used as upper subsystem and Microprocessor AT89C51 as lower subsystem.The system can realize the real-time data acquisition of dissolved oxygen,pH value and temperature as well as data display and storage,and also provide the off-gauge alarm,historical data inquire etc.The test results proved that this system was stable,and environmental factors of the aquiculture could be accurately measured and displayed,wit the advantages of simple operation,friendly interface,a good ratio of performance to price and easy expandability.

Microprocessor

Interface (matter)

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