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Innovative Computing

Editat de Jason C. Hung, Jia-Wei Chang, Yan Pei, Wei-Chen Wu
en Limba Engleză Hardback – 5 ian 2022

Provocarea actuală în ingineria sistemelor complexe constă în integrarea fluxurilor de date masive cu arhitecturi sigure și interactive, fie că vorbim despre monitorizarea șantierelor prin viziune artificială sau despre optimizarea rețelelor de senzori purtabili. În Innovative Computing, volum ce reunește lucrările conferinței IC 2021, considerăm că cititorul va găsi un fundament tehnic solid pentru rezolvarea acestor probleme de infrastructură și procesare. Structura cărții este concepută progresiv, pornind de la metode de filtrare a zgomotului în imagini de mare viteză și detecția erorilor bazată pe matching de muchii, până la implementări avansate de Deep Learning, precum utilizarea YOLO-v4 pentru siguranța în construcții.

Observăm o diversitate metodologică remarcabilă în cele 1900 de pagini: de la utilizarea rețelelor capsulare și a unităților recurente (GRU) pentru recunoașterea emoțiilor în conversații, până la analize de vizualizare a datelor pandemice. Complementar volumului Intelligent Computing and Networking de Valentina Emilia Balas, care se concentrează pe logica fuzzy și machine learning pur, acest volum pune un accent mai puternic pe infrastructura hardware și rețelele de comunicații, inclusiv cele prin satelit. De asemenea, față de Proceedings of the Third International Conference on Innovations in Computing Research (ICR'24), lucrarea de față oferă o perspectivă istorică și evolutivă asupra tehnologiilor care au fundamentat inovațiile din perioada imediat post-pandemică.

Această lucrare continuă direcția de cercetare stabilită de Jason C. Hung în Frontier Computing, însă face trecerea de la tendințele generale de IT spre aplicații extrem de specifice, cum ar fi utilizarea NLP în înregistrările de asistență medicală sau impactul jocurilor educaționale bazate pe Realitate Augmentată (AR). Credem că rigoarea celor de la Springer în selecția eseurilor semnate de experți internaționali transformă acest Hardback într-o resursă tehnică de referință pentru inginerii care proiectează sisteme IoT securizate.

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Specificații

ISBN-13: 9789811642579
ISBN-10: 9811642575
Pagini: 1900
Ilustrații: XXVI, 1769 p. 398 illus., 268 illus. in color. In 2 volumes, not available separately.
Dimensiuni: 160 x 241 x 106 mm
Greutate: 3.48 kg
Ediția:1st ed. 2022
Editura: Springer
Locul publicării:Singapore, Singapore

De ce să citești această carte

Recomandăm acest volum cercetătorilor și inginerilor care au nevoie de studii de caz concrete și implementări algoritmice pentru sisteme complexe. Cititorul câștigă acces la metodologii verificate de analiză a datelor și arhitecturi de rețea de ultimă oră. Este un instrument esențial pentru cei care lucrează în HPC, securitate IoT sau procesarea semnalelor video, oferind soluții practice pentru probleme de detecție și monitorizare în timp real.


Despre autor

Echipa de editori este condusă de Jason C. Hung, un specialist recunoscut în domeniul informaticii inovatoare și al rețelelor. Contribuțiile sale anterioare, precum coordonarea seriei Frontier Computing, demonstrează o capacitate remarcabilă de a sintetiza progresele globale din știință și inginerie. Alături de Yan Pei și ceilalți co-editori, Hung a reușit să transforme conferința IC într-un forum de elită. Expertiza lor combinată acoperă o arie vastă, de la inteligență web și baze de date până la sisteme de calcul omniprezente, asigurând o selecție riguroasă a lucrărilor publicate sub egida Springer.


Descriere scurtă

This book comprises select proceedings of the 4th International Conference on Innovative Computing (IC 2021) focusing on cutting-edge research carried out in the areas of information technology, science, and engineering. Some of the themes covered in this book are cloud communications and networking, high performance computing, architecture for secure and interactive IoT, satellite communication, wearable network and system, infrastructure management, etc. The essays are written by leading international experts, making it a valuable resource for researchers and practicing engineers alike.

Cuprins

Detection of Region-of-Interest Based on Noise Filtering in High-Speed Images,- Detection of Error Images Based on Matching Edges with Strong Components.- Visual Tracking Detection and Movement Identification by Using Eye-tracker for Esports Player.- Construction and Research of E-sportsSpeech Emotion Recognition Model.- Detect safety net on the construction site based on YOLO-v4.- Epidemic Data Visualization Analysis of the Covid-19 Development in China.- Using Natural Language Processing Technology to Predict Patient Reintubation with Traditional Chinese Nursing Records.- Emotion Recognition in Conversation Using Capsule Networks and Gated Recurrent Units.- Effects of an Augmented Reality-based Educational Game on Student’s Learning Performance and Motivation in Nature Course.

Notă biografică

Dr. Jason C. Hung is Associate Professor of Department of Computer Science and Information Engineering at National Taichung University of Science and Technology, Taiwan, ROC. His research interests include multimedia computing and networking, e-learning, Web service, and anticipatory computing. Dr. Hung received his B.S. and M.S. degrees in Computer Science and Information Engineering from Tamkang University, in 1996 and 1998, respectively. He also received his Ph.D. in Computer Science and Information Engineering from Tamkang University in 2001. Dr. Hung has published over 140 papers and book chapters, as well as participated in many international academic activities, including the organization of many international conferences. He is Founder of International Conference on Frontier Computing. In 2013, He served as Hon Treasurer of IET Taipei LN. In April of 2014, he was elected as Fellow of the Institution of Engineering and Technology (FIET). He was elected as Vice Chair of IET Taipei LN in Nov. 2014. From June 2015, He is Editor-in-Chief of International Journal of Cognitive Performance Support.
Dr. Jia-Wei Chang is Assistant Professor in Department of Computer Science and Information Engineering at National Taichung University of Science and Technology. Since January 2019, he is Young Professionals Chair of the Institution of Engineering and Technology (IET) - Taipei Network. Since 2017, he is Consultant of NEXCOM Industry 4.0 Innovation Center. During February to July 2018, he was Adjunct Assistant Professor in Department of Engineering Science at National Cheng Kung University. He was Data Scientist and Project Manager at IoT BU, Nexcom during 2016-2017. He received the Ph.D. degree from Department of Engineering Science, National Cheng Kung University in 2017. His research interests include natural language processing, Internet of things, artificial intelligence, data mining, and e-learning technologies.
Dr. Yan Pei was born in Shenyang, China.He obtained Doctor of Engineering at Kyushu University, Fukuoka, Japan. He received the B.Eng. and M.Eng. degrees from Northeastern University, Shenyang, China. He was Software Engineer and Software Projector Manager in Chinese and German IT industries for several years before entering academic society. He is currently working at the University of Aizu as Associate Professor. His research interests include evolutionary computation, machine learning, and software engineering. He serves as Chairs and Organization Committee Members in many international conferences sponsored by IEEE, ACM, and other international associations. He is also serving as Editors in many international journals. He is Member of IEEE SMC, IEEE CIS and Japanese society for evolutionary computation.
Dr. Wei-Chen Wu was born in Taipei, Taiwan R.O.C. in 1974. He is Assistant Professor in the Department of Finance at the Feng Chia University. He received his Ph.D. degree in Information Management from National Central University in 2016. From 2008–2016, he is also Assistant Professor and Director of the Computer Center at Hsin Sheng College of Medical Care and Management. His teaching interests lie in the area of programming languages, ranging from theory to design to implementation and his current research interests include blockchain technology, fintech cybersecurity, network security, and deep learning. Wei-Chen Wu has collaborated actively with researchers in several other disciplines of computer science. He has served on many conference and workshop program committees and served as the Workshop Chair for Frontier Computing Conference, FC2020.

Caracteristici

Includes advanced studies and novel breakthroughs in frontier computing Describes recent strides in the most advanced information technologies Covers mainstream issues in computer science, including theories and applications of cloud computing