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Your search keyword '"Duan, Manzhen"' showing total 20 results
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20 results on '"Duan, Manzhen"'

1. Rerouting Path Planning Based on MAKLINK Diagram and MS-Genetic Algorithm

Author

Wei, Tong, Duan, Manzhen, Dong, Bin, Li, Yinfeng, Fu, Shenghao, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Wang, Wei, editor, Mu, Jiasong, editor, Liu, Xin, editor, Na, Zhenyu, editor, and Cai, Xiantao, editor

Published
2021
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2. Fire and smoke real-time detection algorithm for coal mines based on improved YOLOv8s.

Author

Kong, Derui, Li, Yinfeng, and Duan, Manzhen

Subjects
COAL mining, OBJECT recognition (Computer vision), FIRE detectors, COMPUTATIONAL complexity, ALGORITHMS, SMOKE
Abstract

Fire and smoke detection is crucial for the safe mining of coal energy, but previous fire-smoke detection models did not strike a perfect balance between complexity and accuracy, which makes it difficult to deploy efficient fire-smoke detection in coal mines with limited computational resources. Therefore, we improve the current advanced object detection model YOLOv8s based on two core ideas: (1) we reduce the model computational complexity and ensure real-time detection by applying faster convolutions to the backbone and neck parts; (2) to strengthen the model's detection accuracy, we integrate attention mechanisms into both the backbone and head components. In addition, we improve the model's generalization capacity by augmenting the data. Our method has 23.0% and 26.4% fewer parameters and FLOPs (Floating-Point Operations) than YOLOv8s, which means that we have effectively reduced the computational complexity. Our model also achieves a mAP (mean Average Precision) of 91.0%, which is 2.5% higher than the baseline model. These results show that our method can improve the detection accuracy while reducing complexity, making it more suitable for real-time fire-smoke detection in resource-constrained environments. [ABSTRACT FROM AUTHOR]

Published
2024
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12. Mesoscale Simulations of pH-Responsive Amphiphilic Polymeric Micelles for Oral Drug Delivery

Author

Duan Manzhen, Di Xiong, Can Yang Zhang, and Zhimin Wu

Subjects
Nanostructure, Pharmaceutical Science, lcsh:RS1-441, 02 engineering and technology, structure-property, 010402 general chemistry, 01 natural sciences, DPD simulation, Article, lcsh:Pharmacy and materia medica, amphiphilic, Amphiphile, medicine, Copolymer, polymeric micelles, Chemistry, Dissipative particle dynamics, self-assembly, 021001 nanoscience & nanotechnology, Ibuprofen, 0104 chemical sciences, Chemical engineering, Drug delivery, Self-assembly, 0210 nano-technology, Drug carrier, medicine.drug
Abstract

It is of great significance to study the structure property and self-assembly of amphiphilic block copolymer in order to effectively and efficiently design and prepare drug delivery systems. In this work, dissipative particle dynamics (DPD) simulation method was used to investigate the structure property and self-assembly ability of pH-responsive amphiphilic block copolymer poly(methyl methacrylate-co-methacrylic acid)-b-poly(aminoethyl methacrylate) (poly(MMA-co-MAA)-b-PAEMA). The effects of different block ratios (hydrophilic PAEMA segment and pH-sensitive PMAA segment) in copolymer on self-assembly and drug loading capacity including drug distribution were extensively investigated. The increase of hydrophilic PAEMA facilitated the formation of a typical core-shell structure as well as a hydrophobic PMAA segment. Furthermore, the optimal drug-carrier ratio was confirmed by an analysis of the drug distribution during the self-assembly process of block copolymer and model drug Ibuprofen (IBU). In addition, the drug distribution and nanostructure of IBU-loaded polymeric micelles (PMs) self-assembled from precise block copolymer (PMMA-b-PMAA-b-PAEMA) and block copolymer (poly(MMA-co-MAA)-b-PAEMA) with random pH-responsive/hydrophobic structure were evaluated, showing that almost all drug molecules were encapsulated into a core for a random copolymer compared to the analogue. The nanostructures of IBU-loaded PMs at different pH values were evaluated. The results displayed that the nanostructure was stable at pH &lt, pKa and anomalous at pH &gt, pKa which indicated drug release, suggesting that the PMs could be used in oral drug delivery. These findings proved that the amphiphilic block copolymer P(MMA30-co-MAA33)-b-PAEMA38 with random structure and pH-sensitivity might be a potential drug carrier. Moreover, DPD simulation shows potential to study the structure property of PMs self-assembled from amphiphilic block copolymer.

Published
2019

15. An Analysis of Driver's Choice based on Information of Traffic Accidents

Author

Li Zheng, Chen Guang, Jia Hongmei, Mi Xueyu, and Duan Manzhen

Subjects
Engineering, Relation (database), business.industry, Control (management), Poison control, Traffic accident, Preference, Route choice, Transport engineering, Survey methodology, Software, Order (business), Provision of information, Information system, General Materials Science, business
Abstract

To enhance the effectiveness of dynamic information systems and ensure its applicability as a new means to control the influence of non-recurrent events including traffic accident, it is necessary to investigate the software aspects of the information system that include contents, timing, accuracy of information and so on. The following research subjects are treated in this study. 1) The characteristics of both actual and potential users of information on traffic accidents are investigated to discuss the future direction of the information system. 2) In order to analyze the relation between the way to provide drivers with information and driver's decision-making on route, driver's route choice behavior is investigated and analyzed by the stated preference survey method.

Published
2013
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16. Bi-level programming model for resource-shared parking lots allocation.

Author

Duan, Manzhen, Wu, Dayong, and Liu, Hongchao

Subjects
*PARKING facilities, *SHARED workspaces, *PARKING lots, *PARK use, *MATHEMATICAL optimization, *INTELLIGENT transportation systems, *PARTICLE swarm optimization
Abstract

The paper proposed a Personalize Parking Guidance Service(PPGS), in which a bi-level programming model was built to describe the relationship between the Personalized Parking Guidance Information System and drivers. The upper-level of the model aimed to achieve the efficetive and balanced utilization of parking resonurces during peak time, while the lower-level model was to minimize the driver's walking distance after parking.A nested Particel Swarm Optimization algorithm was used to solve the proposed model. The simulation results of the model show that the peak congestion time has been reduced remarkably under the guidance of the proposed model. The Mean value of Unocuupied Parking Difference Index(MUPDI) curves trend to decline during the overall process. It means that within the acceptable walking distance, the proposed parking lots allocation model can effectively balance the utilization of parking resources shared in the service area and minimize walking distance as well. [ABSTRACT FROM AUTHOR]

Published
2020
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18. Low-Carbon Logistics: A Case Study of Deutsche Post DHL

Author

Bo Dong, Dong Kangcheng, Duan Manzhen, and Ying Chen

Subjects
Engineering, Traffic pollution, business.industry, Natural resource economics, Greenhouse gas, Environmental resource management, Low-carbon economy, business, Profit (economics)
Abstract

With a low carbon economy sweeping across the world, low carbon, as a completely new concept and method, is adopted in a larger scope. Nevertheless, traffic pollution is becoming one of the most serious environmental threats after increasing industry, and undoubtedly the CO₂ emission produced by vehicles becomes a threat to the environment. Many 3PL enterprises, to meet customers' requirements and follow the environmental protection trend, take strong measures to reduce CO₂ emissions. This paper takes Deutsche Post DHL (hereafter referred as DPDHL) as an example, and introduces the "GoGreen" project, expounding how DPDHL reduced carbon and what profit it gained from this program.

Published
2012

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