Innovative Computing de Yan Pei

Innovative Computing: Lecture Notes in Electrical Engineering, cartea 935

Editat de Yan Pei, Jia-Wei Chang, Jason C. Hung

en Limba Engleză Hardback – 15 oct 2022

Considerăm acest volum ca fiind un instrument tehnic avansat, destinat cercetătorilor și inginerilor care dețin deja cunoștințe solide în rețele de calculatoare și arhitecturi de sistem. Lucrarea Innovative Computing nu este o introducere teoretică, ci o compilație densă de cercetări aplicate, prezentate în cadrul celei de-a cincea ediții a conferinței IC 2022. Subliniem faptul că nivelul de expertiză cerut este unul ridicat, axat pe implementarea practică a tehnologiilor emergente.

Structura volumului reflectă o progresie de la algoritmi specifici la sisteme complexe. Observăm în cuprins o diversitate remarcabilă: de la clasificarea distorsiunilor mamografice prin deep learning, până la designul sistemelor de predare online bazate pe framework-ul SSi sau modelarea BIM (Building Information Modeling) prin agenți multipli. Această abordare segmentată permite specialiștilor să identifice soluții pentru nișe tehnice foarte precise. Remarcăm, de asemenea, o atenție deosebită acordată infrastructurii IoT și comunicațiilor prin satelit, teme fundamentale în peisajul actual al ingineriei electrice.

În contextul operei editorilor, acest volum reprezintă un pilon central care face legătura între edițiile anterioare și lucrările ulterioare, precum Proceedings of Innovative Computing 2024, Vol. 2 sau Proceedings of Innovative Computing 2024, Vol. 4. Dacă Computer Communication, Networking and IoT v-a oferit cadrul teoretic și principii de design pentru rețele inteligente, Innovative Computing oferă instrumentele practice și studiile de caz necesare pentru validarea acestor concepte în scenarii reale de cercetare și dezvoltare. Este o resursă vastă, de peste 1300 de pagini, care documentează stadiul actual al inovației în tehnologia informației.

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Specificații

ISBN-13: 9789811941313
ISBN-10: 9811941319
Pagini: 1356
Ilustrații: XXI, 1308 p. 438 illus., 223 illus. in color. In 2 volumes, not available separately.
Dimensiuni: 160 x 241 x 79 mm
Greutate: 2.59 kg
Ediția:1st ed. 2022
Editura: Springer
Colecția Lecture Notes in Electrical Engineering
Seria Lecture Notes in Electrical Engineering

Locul publicării:Singapore, Singapore

De ce să citești această carte

Recomandăm această lucrare profesioniștilor din inginerie și IT care au nevoie de acces la cele mai noi metodologii de cercetare în cloud computing și IoT. Cititorul câștigă o perspectivă tehnică detaliată asupra implementărilor de ultimă oră, beneficiind de expertiza unor cercetători internaționali de top reuniți în cadrul seriei prestigioase Lecture Notes in Electrical Engineering.

Despre autor

Yan Pei, împreună cu Jia-Wei Chang și Jason C. Hung, formează un colectiv editorial de prestigiu, specializat în documentarea progresului tehnologic prin intermediul conferințelor internaționale de profil. Yan Pei este recunoscut pentru coordonarea seriei Innovative Computing, fiind o figură centrală în diseminarea cercetării din domeniul rețelelor și al sistemelor inteligente. Jason C. Hung completează această expertiză prin contribuții extinse în zonele de web intelligence și baze de date, asigurând o selecție riguroasă a lucrărilor publicate sub egida editurii Springer.

Descriere scurtă

This book comprises select proceedings of the 5th International Conference on Innovative Computing (IC 2022) 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

A deep learning-based approach for mammographic architectural distortion classification.- Developing an Accessibility Assessment System for Mobile Devices.- Design and Implementation of Online Teaching System for "Computer Foundation" Course Based on SSi Framework.- BIM Modeling and Simulation Method Based on Multi-agent and Its Application.-

Design and application of personalized recommendation module for English writing marking system under theme model.

Notă biografică

Dr. Yan Pei 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 a 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 an 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 serves as editor in many international journals. He is a member of IEEE SMC, IEEE CIS and Japanese society for evolutionary computation.

in Department of Computer Science and Information Engineering at National Taichung University of Science and Technology. Since January 2019, he is a Young Professionals Chair of theInstitution of Engineering and Technology (IET) - Taipei Network. Since 2017, he is a consultant of NEXCOM Industry 4.0 Innovation Center. During February to July 2018, he was an adjunct assistant professor in Department of Engineering Science at National Cheng Kung University. He was a 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. Jason C. Hung is an 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 BS and MS 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 the 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.

Caracteristici

Includes the most advanced studies and novel breakthroughs in frontier computing Demonstrates the progress of the most advanced information technologies Covers the theories and application on cloud computing, information security, big data, and so on