Roger Lee (editor) - Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (Studies in Computational Intelligence, 1012)

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The purpose of the 22nd ACIS International Fall Virtual Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2021-Fall) held on November 2426, 2021, Taichung, Taiwan is aimed at bringing together researchers and scientists, businessmen and entrepreneurs, teachers and students to discuss the numerous fields of computer science and to share ideas and information in a meaningful way. This conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing discussed the wide range of issues with significant implications, from artificial intelligence, to communication systems and networks, embedded systems, data mining and BigData, data-driven business models, data privacy and security issues.

This publication captures 13 of the conferences most promising papers, and we impatiently await the important contributions that we know these authors will bring to the field.

In Chapter 1, Yung-Kuan Chan, Chieh-Shan Lin, Hsuan-Jung Lin and Kei-Tung Yip propose an automatic new vertebral compression fracture detection system (ANVCFD system) to segment the spine regions from the MRI spine images and classify the extracted regions into five categories according to their symptoms.

In Chapter 2, Han Wang, Wencai Du and Shaobin Li deliver a review of key issues of DF top-level design and planning from the aspects of networking, precision, automation and digitalization. Solutions are explored based on 5G, TSN and DT advanced technologies, literately and practically.

In Chapter 3, Xin Yan, Mei Wang, Yuancheng Li and Minghang Li propose concentration-based robot control method with FPGA to simplify the operation of the control method, as a supplement to existing control methods.

In Chapter 4, Jeong Yang, Young Lee and Arlen P. McDonald investigate what caused a recent cybersecurity attack that took place on US governments and companies utilizing a popular network performance monitoring tool, SolarWinds. They propose solutions to prevent similar attacks in the future.

In Chapter 5, Chi-Shiang Chan, Li-Wei Chang and Yuan-Yu Tsai propose a data hiding technology by applying interpolation in Extended Local Binary Pattern (ELBP). The proposed method uses interpolation to predict pixels in blocks so as to reduce image distortion when compressing images using Extended Local Binary Pattern (ELBP).

In Chapter 6, Yung-Kuan Chan, Wei-Chin Lee, Wen-Xuan Chen, Yu-Chun Chen, Wu-Chun Tu and Zong-Han Yeh establish an insect species identification system, which can be divided into two main parts, object detection and insect species identification.

In Chapter 7, Sung-Hwa Han proposes a DIFA-based learning data-generating methodology for malware detection that can be applied to machine learning for malware detection by incorporating DIFA techniques into the execution process of the application process.

In Chapter 8, Myungkyum Kim, Jongwoo Park and Mikyung Cho present a study on the effect of educational service quality on career decision-making self-efficacy.

In Chapter 9, Wookjoon Sung and Changil Kim present a study on Nanotechnology Performance Analysis Using Topic Modeling and Social Network Analysis: Focusing on NTIS Data in Korea (20152019).

In Chapter 10, Taegu Kim, Su Yeon Kim and Min Jeong Shin present a study on Korea TV drama ratings. They try to analyze the factors that determine drama viewership ratings from two aspects, traditional programming strategy and a marketing strategy.

In Chapter 11, Jin-A Choi and Cyril S. Ku utilize text mining methods to identify and comparatively analyze shifting themes in the publics concerns regarding the coronavirus from February 2020 through June 2020.

In Chapter 12, Aiha Ikegami, Ryotaro Okada and Takafumi Nakanishi present a method for discovering of historical transition in aesthetic notions of waka poetry over by using changes in co-occurrence words. They focus on the three major anthologies of Japanese poetry, Manyoshu, Kokin Wakashu and Shin Kokin Wakashu, and on Kago, which is the central element in Japanese poetry.