Derong Chen

Beijing Institute of Technology

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i-10 index

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Jiulu Gong

Beijing Institute of Technology

Jiulu Gong

Beijing Institute of Technology

Jiulu Gong

Beijing Institute of Technology

Yadong Huang

Beijing Computing Center

Rufei Huang

Jinan University

Jinlian Liang

Guangzhou University

Quan‐Hong Yang

State Key Laboratory of Chemical Engineering

Jingxian Deng

Jinan University

Zepeng Wang

Beijing Institute of Big Data Research

Zhitan Wu

National University of Singapore

Cooperative Institutions

Beijing Institute of Technology

Jinan University

Chinese Academy of Sciences

Tianjin University

Collaborative Innovation Center of Chemical Science and Engineering Tianjin

University of Electronic Science and Technology of China

Huazhong University of Science and Technology

National University of Singapore

Zhejiang University

Tsinghua University

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High-resolution computed tomography of airway changes after induced bronchoconstriction and bronchodilation in asthmatic volunteers

Academic Radiology (1996)

Stephen T. Kee John V. Fahy Derong Chen G Gamsu

Methacholine

Bronchodilation

High-resolution computed tomography

Airway obstruction

10.1016/s1076-6332(05)80671-3

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Citations (22)

Weighted pose estimation method from lines intersecting at a point

Applied Optics (2016)

Meng Li Derong Chen Jiulu Gong Changyuan Wang

A weighted pose estimation method using lines that intersect at a point is proposed. Because of the weak constraints, the accuracy of pose estimation using lines in this configuration is sensitive to the error of a two-dimensional (2D) line parameter. Therefore, we construct the objective function directly based on weighted image line points instead of 2D lines; the influence of errors introduced through image line points is reduced by the reasonably designed weights. The translation parameter T cannot be determined based on lines in this configuration; thus, when the rotation R is obtained, T is solved linearly by introducing one or more additional points. The experimental results indicate that our method outperforms other methods in terms of accuracy and noise robustness.

Robustness

Line (geometry)

Vanishing point

Parallel

Point spread function

10.1364/ao.55.003435

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Demonstration Performance and Super High-yielding Cultivation Techniques for Hybrid Rice Combination Yiyou 673 at Yongsheng of Yunnan Province

Fujian Science and Technology of Rice and Wheat (2012)

Derong Chen

A hybrid rice cultivar Yiyou 673 was demonstrated as single-cropping rice at Yongsheng of Yunnan province with an altitude of 1420m and a total of growing areas of 9.03hm2 in 2011,indicating the average yield of 1005.85kg per 667m2.This cultivar was characterized by good plant type,rational population structure,large panicle and grain weight,and better resistance to disease and pests in the field.Key super high-yielding cultivation techniques included: breeding short and robust seedlings with right leaf age and more tillers,transplanting at young seedlings with shallow water,pull string,shallow growing and the space of 10cm×30cm in order to exceed 37.5×104 seedlings per hm2,applying sufficient basal fertilizers and accurate and quantitative dressing,scientific water management and pest control in time.

Transplanting

Panicle

Source

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Research on Modeling Method of Testability Design Based on Static Automatic Fault Tree

Processes (2024)

Jiashuo Zhang Derong Chen Peng Gao Zepeng Wang Jingang Zhang

Ensuring user safety has become increasingly essential, especially for safety-critical systems (SCSs) that are vital to human life or significant property. However, the prevailing design-for-testability (DFT) model, which relies on dependencies, overlooks safety-related faults and lacks adequate metrics for evaluating system safety. Consequently, the current dependency model is insufficient in effectively assessing system safety. To address this issue, this study has developed a comprehensive DFT model that integrates system safety considerations, known as the safety-related fault model (SRFM). SRFM uses internal block diagrams (IBDs) as a means, employs a nine-tuple model to create a static automatic fault tree, and establishes mapping relationships. Sensitivity analysis is utilized to quantify system safety factors, resulting in a safety-related dependency matrix. Two crucial concepts, design safety sensitivity (DSS) and theoretical safety sensitivity (TSS), are introduced to quantify system safety loss after a fault occurs. Additionally, two new safety-related testability metrics—test advantage of safety assessment on probability (TASAP) and test advantage of safety assessment on number (TASAN)—are developed for a robust evaluation of system safety. To validate the effectiveness of SRFM, it is applied to an electronic safety and arming device (ESA), demonstrating superior performance in TASAP and TASAN compared to existing models, with a negligible impact on expected test cost (ETC).

System safety

Design Structure Matrix

10.3390/pr12122826

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Salient Object Detection with Detail-Preserving Pooling and Feature Channel Refinement

Hang Yu Derong Chen Hang Yi

This paper proposes a novel end-to-end approach for salient object detection task to enhance the performances. The traditional downscaling method such as max pooling layer is replaced by detail preserving pooling layer to capture more effective features. Moreover, the squeeze and excitation block is adopted to extract image features with the channel wise importance. Finally, densely connected architecture is introduced to maximizes feature reuse and reduce the computational cost in the process of generate saliency maps. The proposed method, on several public benchmarks acquires competitive or better performances than other similar approaches.

Pooling

Feature (linguistics)

10.1145/3377713.3377725

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A Review of the Institutional Perspective

Palgrave Macmillan UK eBooks (1995)

Derong Chen

Institutional Change

Macro

New institutional economics

10.1057/9780230375505_2

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Citations (1)

Analysis on guarantee degree of water-supply by watersource in northern Wanyuan city

Derong Chen

Based on the hydrogeologic conditions,types of watersource and groundwater resources of watersource in the north of Wanyuan city,this paper makes a prognosis of the short term,as well as the middle term and the long term water demand and water supply for Wanyuan city

Degree (music)

Groundwater resources

Source

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Rational tuning of the viscosity of membrane solution for the preparation of sub-micron thick PDMS composite membrane for pervaporation of ethanol-water solution

Separation and Purification Technology (2020)

Chuanxin Zong Xiaoquan Yang Derong Chen Yuan Chen Haoli Zhou

Pervaporation

Polydimethylsiloxane

Membrane Technology

10.1016/j.seppur.2020.117729

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Citations (24)

Direct solution for pose estimation of single circle with detected centre

Electronics Letters (2016)

Changyuan Wang Derong Chen Meng Li Jiulu Gong

A direct and analytical algorithm for pose estimation of single space circle in the context of monocular machine vision is proposed. Circular feature with detected centre in the image is used to find two special diameters, one is primarily found for estimating the location of space circle, the other is for estimating the normal vector. The proposed algorithm formulates the problem with solving equations instead of matrix transformation; by solving the equations efficiently, it obtains the single‐valued true solution automatic without choosing the process. Experiments on real images prove that the proposed algorithm can achieve high accuracy. Automatic, efficiency and accuracy together make the proposed algorithm applicable especially in real‐time system.

10.1049/el.2015.3883

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Citations (15)

An End-To-End Image Compressive Sensing Algorithm Based on Attention Neural Networks

2020 3rd International Conference on Unmanned Systems (ICUS) (2020)

Jiawei Liu Jiulu Gong Derong Chen

Compressive sensing (CS) algorithm with simple encoder is pretty suitable for small unmanned reconnaissance and strike systems. However, due to the problems of long reconstruction time, large amount of calculation, difficulty to apply hardware acceleration and neglecting optimization of the encoder, the traditional compressed sensing algorithm cannot meet the real-time requirements of unmanned systems. This paper proposes an end-to-end image compressive sensing algorithm based on attention neural network. The result of convolution sliding operating is chosen as block CS measurements to achieve end-to-end optimization and the reconstruction is performed by sub-pixel convolutional layer and visual attention module. Then, the transposed convolution and attention modules are used for supplementary information and the quality of reconstruction is improved by minimizing the L2 loss. Experimental results show that the proposed algorithm has a fast reconstruction speed without sacrificing reconstruction quality. The reconstruction time for an image with a size of 256 * 256 is 100ms, and it's 50ms for an image with a size of 128*128. Compared with the traditional algorithm NLR_CS, the speed of the article algorithm is 5000 times faster on an image with a size of 256*256 and 2000 times faster on an image with a size of 128*128. Moreover, the proposed algorithm has ability to be accelerated by hardware, excellent scalability of the target image resolution. All the modules and loss function used in the article jointly improved compression ratio of entropy coding.

Reconstruction algorithm

Convolution (computer science)

10.1109/icus50048.2020.9275016

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