Open Access Published by De Gruyter Open Access

Volume 13 Issue 1

January 2023

Issue of Open Computer Science

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Contents
Journal Overview

Special Issue on Programming Models and Algorithms for Big Data - Part II

Open Access February 7, 2023

Application of artificial intelligence-based style transfer algorithm in animation special effects design

Shan Li

Article number: 20220255

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Abstract

Today, the rapid development of computer technology changes with each passing day. In the computer field, computer animation has rapidly grown from a new thing to a leading industry, and animation has entered the era of three-dimensional animation and computer graphics. This article aims to study the application of artificial intelligence-based style transfer algorithm in animation special effects design. It proposes methods such as adaptive loss function, style transfer process, animation special effect design, etc., and conducts related experiments on the application of style transfer algorithm in animation special effect design in the article. The experimental results show that the style transfer algorithm based on AI can effectively improve the effect of animation special effects. In this survey, more than 80% of the people are satisfied with the animation special effects design based on the style transfer algorithm.

Open Access February 7, 2023

Zebra-crossing detection based on cascaded Hough transform principle and vanishing point characteristics

Chen Zhu, Dong-Yuan Ge, Xi-Fan Yao, Wen-Jiang Xiang, Jian Li, Yong-Xiang Li

Article number: 20220260

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Abstract

In this study, a zebra-crossing detection method based on cascaded Hough transform (CHT) and vanishing point (VP) characteristics is proposed. In this method, the principle of detecting straight lines in the parallel coordinate system is applied to zebra-crossing detection. Each edge point of the image obtained by edge detection is represented in the parallel coordinate system to find the VP. Using the VP coordinate as the judgment condition, those straight lines that do not pass through the VP but meet the straight-line condition are excluded to obtain the straight lines passing through both sides of the zebra crossing, and finally fit the edge points on the straight line, and get the zebra-crossing fitting line segment. Experiments show that CHT has obvious advantages in detection accuracy and speed compared with the Hough transform. At the same time, VPs can be used to eliminate interference segments, which provide support for the accuracy of zebra-crossing detection. This method can get zebra-crossing location information without using region of interest extraction, which also provides a reference method for road detection in some specific cases.

Open Access February 8, 2023

Visual inspection intelligent robot technology for large infusion industry

Qilang Liang, Bangshun Luo

Article number: 20220262

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Abstract

The application of intelligent technology has realized the transformation of people’s production and lifestyle, and it has also promoted the development of the field of medicine. At present, the intensity of intelligence in the field of medicine is increasing. By using its cash methods and techniques combined with the mechanical field, this article proposes to use visual inspection technology to understand the fusion of the medical field and the mechanical field. It is helpful to analyze and solve objective problems such as low efficiency in current infusion and insufficient rigidity of large infusion plastic bottles. Drawing on the principles and laws of deep learning algorithms and neural networks, the technical research of intelligent robots for visual inspection is carried out to realize the intelligence of infusion robots. In the research accuracy of detection, the detection rate of standard particles higher than 85 µM has reached almost 100%, and the rate of 50 µM standard particles is lower and unstable. The detection effect of the control light bulb control was different, and the detection rate was between 50 and 80%, which was obviously worse than the detection robot effect. Therefore, the current research on the technology of intelligent robots is very important.

Open Access March 28, 2023

RFID supply chain data deconstruction method based on artificial intelligence technology

Huiying Zhang, Ze Li

Article number: 20220265

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Abstract

Radio frequency identification (RFID) is a broad rapidly evolving skill in the past few years. It is characterized by non-contact identification, fast read and write speed, small label size, large data storage capacity, and other technical advantages. RFID technology for goods movement has completely changed the traditional supply chain management, greatly improved the operational efficiency of enterprises, and has become an important method for the development of supply chain logistics. This work mainly studies and analyzes the RFID supply chain, introduces the development and application of RFID supply chain sector technology, and discusses the operation of the supply chain in detail. Then, according to the existing RFID supply chain, a RFID supply chain artificial intelligence (AI) based approach to technology is proposed, and the data analysis of RFID supply chain is introduced in detail. In this work, through the research experiment of AI technology RFID supply chain data analysis, the experimental data show that there are several time-consuming links in the supply chain system. The time consumed in the AI RFID system is 9.9, 3.4, 3.5, and 29.9 min, respectively, while each link in the original system takes 13.4, 4.9, 4.9, and 34.9 min. It can be seen from the above data that the amount of time in each system link of the AI RFID supply chain system is less than that of the original supply chain system, which shortens the entire product passing cycle and greatly improves work efficiency.

Special Issue on Big Data Applications and Techniques in Cyber Intelligence

Open Access February 17, 2023

Application of fingerprint image fuzzy edge recognition algorithm in criminal technology

Xinhua Lv

Article number: 20220263

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Abstract

In the context of the rapid development of science and technology and the modernization of the legal system, criminal activities are becoming more and more intelligent and technological, which also puts forward higher requirements for criminal technology. The current criminal technology equipment is relatively backward, and the technical level is not high enough, resulting in a low utilization rate of trace material evidence extraction, which directly affects the role of criminal technology in the investigation and solving of cases. In recent years, fingerprint recognition algorithms and image edge detection algorithms have been widely used in various fields. This work studied the application of fingerprint image fuzzy edge recognition algorithm in criminal technology, in order to improve the level of criminal technology and the utilization rate of physical evidence extraction. The criminal technology system is upgraded and optimized by combining fingerprint recognition algorithm and image edge detection algorithm. And fuzzy theory is added to ensure the feasibility of the research. The experimental results show that the fuzzy edge recognition algorithm of fingerprint image can improve the level of criminal technology and the utilization rate of material evidence to a certain extent. The utilization rate is increased by 7.04%. The recognition accuracy of the fuzzy recognition method is also 13.2% higher than that of the methods in the literature.

About this journal

SPECIAL ISSUES

Special Issue on Advanced Aspects of Machine Learning Algorithms for Scientific Programming

GUEST EDITORS: Fazlullah Khan, (Abdul Wali Khan University Mardan, Pakistan); Syed Tauhidullah Shah, (University of Calgary, Canada); Nabeela Awan, (Nagaoka University of Technology, Japan)
Deadline for submissions: April 24, 2023

Special Issue on Emerging Trends and Recent Advances in Communication Networks Security

GUEST EDITORS: Zhengyi Chai, (Tiangong University, China); Mohsen Guizani, (Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE)
Deadline for submissions: May 31, 2023

Special Issue on Big Data Applications and Techniques in Cyber Intelligence

GUEST EDITORS: Zheng Xu, (Shanghai Polytechnic University, China); Neil Y. Yen, (University of Aizu, Japan); Vijayan Sugumaran (Oakland University, USA)
Deadline for submissions: May 1, 2023

Special Issue based on the 2022 IEEE 16th International Scientific Conference on Informatics

GUEST EDITORS: Valerie Novitzká, (Technical University of Kosice, Slovakia); William Steingartner, (Technical University of Kosice, Slovakia)
Deadline for submissions: March 31, 2023

Open Computer Science is a fully peer-reviewed, open access, electronic-only journal publishing works of wide significance, originality and relevance. The journal provides the readers with free, instant, and permanent access to all content worldwide; and the authors with extensive promotion of published articles, long-term preservation, no space constraints and quick publication.

Open Computer Science is listed inter alia by Web of Science (ESCI - Emerging Sources Citation Index) and SCOPUS. Our standard policy requires each paper to be reviewed by at least two Referees and the peer-review process is single-blind.

Open Computer Science publishes original and significant research results in the following fields:

algorithms and complexity theory
artificial intelligence
bioinformatics
networking and security systems
programming languages
system and software engineering
theoretical foundations of computer science

The journal considers submissions of different types of articles, including "Research Articles" as well as “Review Articles”, which present the existing literature and achievements on the specific topic from new perspectives. We accept both theoretical and empirical contributions.

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