Application of Network Security in Logistics Information Management Platform

Liu, Xu

doi:10.1007/978-3-030-89511-2_76

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…d Qs a =+ (18) Assume that the number of categories to be classified is denoted by X, QR X×y , dR X , and the dimensionality of the semantic feature vector is denoted by y. Equation 19 gives the corresponding category probability distribution.…”

Section: Text Feature Extraction For Express Logistics Documentsmentioning

confidence: 99%

“…The informationization of express logistics processing phases is urgently needed to expand the quality monitoring function of express logistics management based on the framework of the original express logistics track and trace system. Accordingly, such practice replaces the manual input of express logistics information into the computer, effectively improving the timeliness of express logistics information identification and the quality of the whole real-time track and trace service [12][13][14][15][16][17][18][19]. As a modern comprehensive information platform capable of carrying out integrated statistical analysis of express logistics information and management decisions, it entails artificial intelligence (AI) technology and image processing technology to automatically extract the text content of express logistics documents [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

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On Image-Processing-Based Identification Method of Express Logistics Information

Zhu¹,

Sheng²

2022

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As a modern comprehensive information platform for integrated statistical analysis of express shipments information and for express shipments management decision-making, the express logistics track and trace system needs to use artificial intelligence (AI) technology and image processing technology to automatically extract the text content of express logistics documents. Existing express shipments information identification models usually have problems such as less-than-ideal performance in detecting single characters or small text regions of express logistics documents, high human resource cost for character-level markup, and low speed and accuracy of text recognition. In response, this paper studies the image-processing-based identification method of express logistics information. It presents a recognition process for pre-processing text images of express logistics documents, along with a detailed description of denoising, greyscaling and binarisation methods. While proposing an enhancement strategy for Chinese characters in the section of handwritten Chinese, this paper constructs a model for recognition of express shipping document texts based on bidirectional long-short term memory (LSTM) and attention mechanism. In this way, we fully mined key semantic information of express logistics document texts. The experimental results verify the effectiveness of the constructed model.

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Section: Text Feature Extraction For Express Logistics Documentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On Image-Processing-Based Identification Method of Express Logistics Information

Zhu¹,

Sheng²

2022

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Cybersecurity Importance for Logistic Industries Using Generative AI

Tayyab,

Muzammal,

Jhanjhi

et al. 2024

Advances in Human and Social Aspects of Technology

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The logistics industry is rapidly transforming, driven by emerging technologies and evolving cybersecurity threats. These threats have also affected the industries financially on one side but also fined some of the most reputed industries due to poor quality supplied to the customers. Many cybersecurity threats have also been reported. However, due to the usage of cloud services, many more threats have been opened to this industry. Therefore, this study explores the complex relationship between logistics and cybersecurity, highlighting the industry's challenges and opportunities. The adoption of technologies like the Internet of Things (IoT), cloud computing, and artificial intelligence offers new possibilities for efficiency and visibility, but also introduces cybersecurity vulnerabilities that must be addressed. From securing supply chains to implementing advanced encryption and access control, logistics companies are navigating a dynamic landscape that demands proactive cybersecurity measures. Furthermore, this study underscores the importance of staying informed about emerging threats and trends while adopting innovative solutions to protect data, operations, and customer trust in an interconnected world.

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Application of Network Security in Logistics Information Management Platform

Cited by 2 publications

References 7 publications

On Image-Processing-Based Identification Method of Express Logistics Information

On Image-Processing-Based Identification Method of Express Logistics Information

Cybersecurity Importance for Logistic Industries Using Generative AI

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