A System of Multimodal Image‐Text Retrieval Based on Pre‐Trained Models Fusion DOI Open Access
Qiang Li, Feng Zhao,

Linlin Zhao

et al.

Concurrency and Computation Practice and Experience, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 10, 2024

ABSTRACT The algorithm for multimodal image‐text retrieval aims to overcome the differences between visual and textual data, enabling efficient accurate recognition images text. Since manually labeled data are usually expensive, many researchers attempted use low‐quality obtained through network batch operations. This presents a challenge model's generalization performance prediction accuracy. To address this issue, we construct system of based on fusion pre‐trained models. Firstly, enhance diversity original using MixGen improve performance. Next, employ Chinese‐CLIP as most suitable foundational model comparative experiments among three different Finally, comprehensive ensemble with base models specific characteristics tasks, which includes prediction‐based text‐to‐image task feature‐based image‐to‐text task. Extensive show that our outperforms state‐of‐the‐art single foundation in generalization, especially pairs small datasets Chinese context.

Language: Английский

Task Allocation Algorithm and Simulation Analysis for Multiple AMRs in Digital‐Intelligent Warehouses DOI
Zixia Chen, T. Gu, Zelin Chen

et al.

Concurrency and Computation Practice and Experience, Journal Year: 2025, Volume and Issue: 37(4-5)

Published: Feb. 10, 2025

ABSTRACT In digital‐intelligent warehouses, the heavy handling tasks, complex algorithms with high computational demands, and vast solution spaces pose significant challenges to achieving stable, efficient, balanced operation of multiple Autonomous Mobile Robots (AMRs) for automated cargo handling. This paper focuses on a virtual smart warehouse environment employs Python software conduct simulation experiments multi‐AMR task allocation. The simulated comprises three idle AMRs 16 points that require transportation. experimental simulations demonstrate improved genetic algorithm can find global optimal relatively low cost, meeting fast response requirements in real‐world operations. It enables stable operation, efficiency, allocation AMRs. results validate reliability proposed method, effectively addressing issues path planning warehouses.

Language: Английский

Citations

1
Adaptive Slip Control of Distributed Electric Drive Vehicles Based on Improved PSO‐BPNN‐PID DOI Open Access
Huipeng Chen,

Xinglei Yu,

Shaopeng Zhu

et al.

Concurrency and Computation Practice and Experience, Journal Year: 2025, Volume and Issue: 37(4-5)

Published: Feb. 19, 2025

ABSTRACT The distributed electric drive vehicle is a highly nonlinear and time‐varying system. To address the issue of slip control under varying driving forces road surface coefficients, novel strategy proposed, which considers axle load transfer during acceleration. employs an improved PSO algorithm to obtain optimal parameters for BP neural network, uses network forward propagation calculate PID in real‐time, adjusts weight matrix through backward achieve real‐time adaptive slip. Experimental results indicate that this improves ITAE index by 13.6% response time 74.8% compared anti‐saturation PID.

Language: Английский

Citations

0
Associations between panic buying and choice overload during the public health crisis in China: Testing sequential mediation models DOI

Hanxuan Zhao,

Sihua Xu

Acta Psychologica, Journal Year: 2025, Volume and Issue: 254, P. 104800 - 104800

Published: Feb. 12, 2025

Language: Английский

Citations

0
Enhancing Inland River Shore Power Utilization: A Game Theory and Prospect Theory Approach to Optimizing Incentive Mechanisms DOI Open Access
Wenxue Cai,

Chuansheng Xie,

Yimiao Gu

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 1964 - 1964

Published: Feb. 25, 2025

The development of the shipping and port industry has significantly driven both Chinese global economies. However, environmental impact their carbon footprint cannot be overlooked. Recently, made strides in implementing various protection measures, with promotion adoption shore power technology inland areas emerging as promising avenues for sustainable development. Despite widespread establishment facilities river areas, utilization rate remains low. This is primarily due to minimal benefits that ships gain from using often fail meet expectations. traditional income function based on rational agent theory inadequate, leading existing incentive measures do not effectively encourage usage by ships. Therefore, it essential analyze this issue perspective behavioral economics. paper introduces reference point effect prospect designs an mechanism game principles. goal explore how government subsidies penalties can adjusted create effective incentives usage, ultimately seeking improve among enhance overall quality ports.

Language: Английский

Citations

0
A System of Multimodal Image‐Text Retrieval Based on Pre‐Trained Models Fusion DOI Open Access
Qiang Li, Feng Zhao,

Linlin Zhao

et al.

Concurrency and Computation Practice and Experience, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 10, 2024

ABSTRACT The algorithm for multimodal image‐text retrieval aims to overcome the differences between visual and textual data, enabling efficient accurate recognition images text. Since manually labeled data are usually expensive, many researchers attempted use low‐quality obtained through network batch operations. This presents a challenge model's generalization performance prediction accuracy. To address this issue, we construct system of based on fusion pre‐trained models. Firstly, enhance diversity original using MixGen improve performance. Next, employ Chinese‐CLIP as most suitable foundational model comparative experiments among three different Finally, comprehensive ensemble with base models specific characteristics tasks, which includes prediction‐based text‐to‐image task feature‐based image‐to‐text task. Extensive show that our outperforms state‐of‐the‐art single foundation in generalization, especially pairs small datasets Chinese context.

Language: Английский

Citations

0