Advances in Intelligent Information Hiding and Multimedia Signal Processing: Proceeding of the 18th Iih-Msp 2022 Kitakyushu, Japan, Volume 2

本書收錄了2022年12月16日至18日在日本北九州舉行的第18屆國際智能信息隱藏和多媒體信號處理會議的精選論文。該書分為兩卷，討論了信息技術（IT）領域的最新研究成果，包括但不限於信息隱藏、多媒體信號處理、大數據、數據挖掘、生物信息學、數據庫、工業和物聯網以及它們的應用。

Dr. Kazuhiro Kondo received the B.S. degree and the Ph.D. degree from the Electrical Engineering, Waseda University, Japan, in 1984 and 1998. He is currently a professor at Engineering, Yamagata University. He is responsible for research and education in the field of signal processing for communication. Specific interest fields include, but not limited to multimedia signal processing with emphasis on speech and video processing, 3D audio and its applications, active sound control, audio data hiding, speech intelligibility measurement and its objective estimations, and parametric speakers.

Dr. Mong-Fong Horng received his Ph.D. degree from the Computer Sciences and Information Engineering Department, National Cheng Kung University, Taiwan, in 2003. He now is an adjunct professor in the department of Electronic Engineering at the National Kaohsiung University of Science and Technology and Kaohsiung Medical University, Taiwan, since 2008 and 2012, respectively. He was also a technical director of the Institute of Information Industrial from 2018 to 2022. As of 2018, Dr. Horng had published 132 academic papers and 6 textbooks about his research. Based on the researches, Dr. Horng has been granted 14 Taiwan patents and 4 US patents. He served as a member of IEEE SMC Technical Committee on Computational Collective Intelligence and the president of the Taiwanese Association of Consumer Electronics (TACE) and Tainan Chapter, Signal Processing Society, IEEE. Dr. Horng contributed to the editorial boards of International Journal of Knowledge Engineering and Soft Data Paradigms published by Elsevier and Electronics. Dr. Horng has received awards from the Ministry of Science and Technology and Ministry of Education due to his outstanding performance in industrial cooperation and supervision of student competition. Dr. Horng has hosted 12 research projects funded by the Ministry of Science and Technology. His research interests include Computational Intelligence, the Internet of Things, and the Internet.

Dr. Jeng-Shyang Pan received the B.S. degree in electronic engineering from the National Taiwan University of Science and Technology in 1986, the M.S. degree in communication engineering from National Chiao Tung University, Taiwan, in 1988, and the Ph.D. degree in electrical engineering from the University of Edinburgh, UK, in 1996. He is currently the Professor in Shandong University of Science and Technology. He joined the Editorial Board of Engineering Applications of Artificial Intelligence, the Journal of Computers, Electronics, Symmetry and the Chinese Journal of Electronics. His current research interests include soft computing, information security, and signal processing.

Dr. Pei Hu performs the research project in the College of Computer Science and Engineering, Shandong University of Science and Technology. His current research Interests include computational intelligence, machine learning, surrogate-assisted evolutionary computation and multi-objective optimization.

Dr. Kazuhiro Kondo於1984年和1998年分別獲得日本早稻田大學電機工程學士學位和博士學位。他目前是山形大學工程學院的教授，負責通訊信號處理領域的研究和教育。他的特定研究興趣包括但不限於以語音和視頻處理為重點的多媒體信號處理、3D音頻及其應用、主動聲音控制、音頻數據隱藏、語音可應性測量及其客觀估計以及參數式揚聲器。

Dr. Mong-Fong Horng於2003年獲得台灣成功大學電腦科學與資訊工程系的博士學位。自2008年和2012年起，他分別擔任國立高雄科技大學和高雄醫學大學電子工程系的兼任教授。他還曾擔任2018年至2022年期間的資訊工業研究所技術總監。截至2018年，Horng博士已發表了132篇學術論文和6本關於他的研究的教科書。基於這些研究，Horng博士獲得了14項台灣專利和4項美國專利。他曾擔任IEEE SMC計算集體智能技術委員會的成員，以及台灣消費電子學會（TACE）和IEEE台南分會信號處理學會的會長。Horng博士為Elsevier出版的《國際知識工程和軟數據範式》和《電子學》的編輯委員會做出了貢獻。由於在產業合作和學生競賽指導方面的優秀表現，Horng博士獲得了科技部和教育部的獎項。Horng博士主持了12項由科技部資助的研究項目。他的研究興趣包括計算智能、物聯網和互聯網。

Dr. Jeng-Shyang Pan於1986年獲得國立台灣科技大學電子工程學士學位，1988年獲得國立交通大學通訊工程碩士學位，1996年獲得英國愛丁堡大學電機工程博士學位。他目前是山東科技大學的教授。他加入了《人工智能工程應用》、《計算機、電子、對稱性》和《中國電子學報》的編輯委員會。他目前的研究興趣包括軟計算、信息安全和信號處理。

Dr. Pei Hu在山東科技大學計算機科學與工程學院進行研究項目。他目前的研究興趣包括計算智能、機器學習、輔助演化計算和多目標優化。