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Warehouse Management Information System Technology Review

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Written by: IJETAA EDITORS
Category: Articles
Published: June 11, 2024
Hits: 2170

Abstract

With the rapid development of information technology, warehouse management information systems are playing an increasingly important role in modern logistics management. This paper first elaborates on the importance of warehouse management information systems and the impact of technological development on warehouse management, and then reviews the development process of warehouse management information systems. Next, it focuses on introducing the application of key technologies such as barcode technology, RFID technology, UWB high-precision positioning technology, wireless network communication technology, cloud computing technology, and big data analysis technology in warehouse management. In addition, this paper also analyzes the current problems faced by warehouse management information systems and discusses the application prospects of emerging technologies such as artificial intelligence, Internet of Things, blockchain, automation, and robotics in warehouse management. Finally, it summarizes the main findings of the review and proposes insights and suggestions for the development of warehouse management information systems and future research directions.

Keywords: 

Warehouse management system, RFID, UWB, Artificial intelligence, Internet of Things

Author(s): 

  • Hua ChenGraduate School, University of the East, Manila, Philippines and Jiangsu Shipping College, Jiangsu,China
  • Maria Amelia E. DamianFaculty College of Engineering, University of the East, Manila, PhilippinesAuthor

DOI: 

https://doi.org/10.62677/IJETAA.2403112

University campus network planning and design based on GPON technology

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Written by: IJETAA EDITORS
Category: Articles
Published: May 29, 2024
Hits: 2115

Abstract

With the continuous development of Internet applications, in order to meet the increasing demands of teachers and students for the campus network in teaching, scientific research, office work and daily life, it is necessary to build a network environment that can meet the needs of smart campuses and future new applications. This paper makes an in-depth analysis of the current situation of campus networks, uses Gigabit Passive Optical Network (GPON) technology to upgrade and transform the existing network, reduces the cost of switching equipment and maintenance difficulty, improves the network transmission rate, increases the upper limit of campus network user access, and effectively solves the problem of separation between wired and wireless networks.

Keywords: 

Smart Campus, Campus Network, Gigabit Passive Optical Network, Network Transmission Rate

Author(s): 

  • Feng WeiUniversity of the East, Manila, Philippines and Xin Xiang Vocational and Technical CollegeAuthor
  • Joan P. LazaroUniversity of the East, Manila, Philippines

DOI:

https://doi.org/10.62677/IJETAA.2401103

A Joint Model of Entity Linking for RFC Protocols Knowledge Graph Construction

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Written by: IJETAA EDITORS
Category: Articles
Published: May 28, 2024
Hits: 1009

Abstract

Applying knowledge representation and reasoning to downstream tasks has been considered a promising research direction, as it enables semantic analysis of network protocols. Knowledge Graph is a new way of collecting knowledge, and building a protocol knowledge graph based on RFCs can help us study and analyze network protocols more effectively. However, automatically constructing a protocol knowledge graph from RFCs poses a major challenge, particularly in terms of extracting and linking protocol entities, due to the semi-structured nature of RFC documents. In this paper, we propose a model that combines a fine-tuned language model with an RFC Domain Model to link entities in RFCs to categories in the protocol knowledge base. Firstly, we design a protocol knowledge base as the schema for protocol entity linking. Secondly, we use heuristic methods to identify protocol entities and infer their descriptions from the nearby contexts of their header fields. Finally, we conduct comprehensive experiments on the RFC dataset using our joint model and baseline methods for protocol entity linking. Experimental results demonstrate that our model achieves state-of-the-art performance in entity linking on the RFC dataset, outperforming all baseline methods. In addition, we release a protocol knowledge graph, RFC-KG1.

Keywords: 

Request for Comment, Entity Linking, Knowledge Graph, Protocol Analysis

Author(s): 

  • Li Shoubin  Institute of Software, Chinese Academy of Sciences
  • Luan Tao     Institute of Software, Chinese Academy of Sciences

DOI:

https://doi.org/10.62677/IJETAA.2401100

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