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Record Nr. |
UNINA9910339021703321 |
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Autore |
Hac Anna |
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Titolo |
Mobile telecommunications protocols for data networks / / Anna Hac |
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Pubbl/distr/stampa |
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New York, : J. Wiley, c2003 |
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ISBN |
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1-280-27018-7 |
9786610270187 |
0-470-85527-4 |
0-470-85528-2 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (262 p.) |
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Disciplina |
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Soggetti |
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Wireless communication systems |
Computer network protocols |
Data transmission systems |
Mobile computing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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MOBILE TELECOMMUNICATIONS PROTOCOLS FOR DATA NETWORKS; Contents; Preface; About the Author; 1 Mobile Agent Platforms and Systems; 1.1 Mobile Agent Platforms; 1.1.1 Grasshopper; 1.1.2 Aglets; 1.1.3 Concordia; 1.1.4 Voyager; 1.1.5 Odyssey; 1.2 Multiagent Systems; 1.2.1 Agent-based load control strategies; 1.3 Summary; Problems to Chapter 1; 2 Mobile Agent-based Service Implementation, Middleware, and Configuration; 2.1 Agent-based Service Implementation; 2.2 Agent-based Middleware; 2.3 Mobile Agent-based Service Configuration; 2.4 Mobile Agent Implementation; 2.5 Summary; Problems to Chapter 2 |
3 Wireless Local Area Networks3.1 Virtual LANs; 3.1.1 Workgroup management; 3.1.2 Multicast groups; 3.2 Wideband Wireless Local Access; 3.2.1 Wideband wireless data access based on OFDM and dynamic packet assignment; 3.2.2 Wireless services support in local multipoint distribution systems; 3.2.3 Media Access Control (MAC) protocols for wideband wireless local access; 3.2.4 IEEE 802.11; 3.2.5 ETSI HIPERLAN; 3.2.6 Dynamic slot assignment; 3.3 Summary; Problems to Chapter 3; 4 Wireless Protocols; 4.1 Wireless Protocol Requirements; |
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4.2 MAC Protocol; 4.3 Broadband Radio Access Integrated Network |
4.4 Hybrid and Adaptive MAC Protocol4.5 Adaptive Request Channel Multiple Access Protocol; 4.6 Request/Acknowledgement Phase; 4.7 Permission/Transmission Phase; 4.8 Performance Analysis; 4.9 Performance Measures; 4.10 Summary; Problems to Chapter 4; 5 Protocols for Wireless Applications; 5.1 Wireless Applications and Devices; 5.2 Mobile Access; 5.3 XML Protocol; 5.4 Data Encapsulation and Evolvability; 5.5 Wireless Application Protocol (WAP); 5.6 Summary; Problems to Chapter 5; 6 Network Architecture Supporting Wireless Applications; 6.1 WAE Architecture; 6.2 WTA Architecture |
6.3 WAP Push Architecture6.4 Summary; Problems to Chapter 6; 7 XML, RDF, and CC/PP; 7.1 XML Document; 7.2 Resource Description Framework (RDF); 7.3 CC/PP - User Side Framework for Content Negotiation; 7.4 CC/PP Exchange Protocol based on the HTTP Extension Framework; 7.5 Requirements for a CC/PP Framework, and the Architecture; 7.6 Summary; Problems to Chapter 7; 8 Architecture of Wireless LANs; 8.1 Radio Frequency Systems; 8.2 Infrared Systems; 8.3 Spread Spectrum Implementation; 8.3.1 Direct sequence spread spectrum; 8.3.2 Frequency hopping spread spectrum; 8.3.3 WLAN industry standard |
8.4 IEEE 802.11 WLAN Architecture8.4.1 IEEE 802.11a and IEEE 802.11b; 8.5 Bluetooth; 8.5.1 Bluetooth architecture; 8.5.2 Bluetooth applications; 8.5.3 Bluetooth devices; 8.6 Summary; Problems to Chapter 8; 9 Routing Protocols in Mobile and Wireless Networks; 9.1 Table-driven Routing Protocols; 9.1.1 Destination-sequenced distance-vector routing; 9.1.2 The wireless routing protocol; 9.1.3 Global state routing; 9.1.4 Fisheye state routing; 9.1.5 Hierarchical state routing; 9.1.6 Zone-based hierarchical link state routing protocol; 9.1.7 Cluster-head gateway switch routing protocol |
9.2 On-demand Routing Protocols |
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Sommario/riassunto |
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Mobile users are demanding fast and efficient ubiquitous connectivity supporting data applications. This connectivity has to be provided by various different networks and protocols which guarantee that mobile networks function efficiently, performing routing and handoff for mobile users.Hac proposes a comprehensive design for mobile communications including mobile agents, access networks, application protocols, ubiquitous connectivity, routing, and handoff. It covers the entire spectrum of lower and upper layer protocols to evaluate and design modern mobile telecommunications systems. |
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2. |
Record Nr. |
UNINA9910999680603321 |
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Autore |
Trajkovski Goran |
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Titolo |
AI-Assisted Assessment in Education : Transforming Assessment and Measuring Learning / / by Goran Trajkovski, Heather Hayes |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Palgrave Macmillan, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (XV, 446 p. 6 illus.) |
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Collana |
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Digital Education and Learning, , 2753-0752 |
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Disciplina |
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Soggetti |
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Educational technology |
Artificial intelligence |
Educational tests and measurements |
Technical education |
Digital Education and Educational Technology |
Artificial Intelligence |
Assessment and Testing |
Technology and Design education |
Tecnologia educativa |
Avaluació educativa |
Intel·ligència artificial |
Educació superior |
Formació del professorat |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1: Foundations of AI in Educational Assessment -- Chapter 2: The AI-Assisted Assessment Creation Framework -- Chapter 3: Innovative Question Types and Formats -- Chapter 4: AI in Assessment Analysis and Improvement -- Chapter 5: Implementing AI-Assisted Assessment in Educational Institutions -- Chapter 6: AI-Assisted Assessment for Diverse Learners -- Chapter 7: AI-Assisted Formative Assessment and Feedback -- Chapter 8: AI in High-Stakes and Standardized Testing -- Chapter 9: The Future of AI in Educational |
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Assessment -- Chapter 10: Practical Guide: Implementing AI-Assisted Assessment. |
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Sommario/riassunto |
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This book explores the transformative role of artificial intelligence in educational assessment, catering to researchers, educators, administrators, policymakers, and technologists involved in shaping the future of education. It delves into the foundations of AI-assisted assessment, innovative question types and formats, data analysis techniques, and the practical implementation of AI tools in various educational settings. The book addresses the pressing need for more efficient, personalized, and effective assessment methods in an increasingly complex educational landscape. It tackles the challenge of balancing technological innovation with ethical considerations, data privacy, and the preservation of human judgment in education. By examining AI's potential to enhance learning outcomes, provide real-time feedback, and offer insights into student progress, the book aims to equip readers with the knowledge and strategies necessary to navigate the evolving intersection of AI and assessment. It acknowledges the challenges and ethical implications of integrating AI into high-stakes testing while offering guidance on implementing these technologies responsibly. Through case studies, best practices, and forward-looking analysis, the book serves as a comprehensive guide for those seeking to leverage AI to create more engaging, equitable, and effective assessment practices, ultimately aiming to improve the overall quality of education in a rapidly changing world. Goran Trajkovski is a leader in learning science and data science with 30 years of experience designing learner-focused experiences. He has authored over 300 publications, including 20 books, with AI research dating back to 1995. He has held leadership roles, including Director of Data Analytics at Touro University, USA. Heather Hayes is a Senior Lead Psychometrician at Western Governors University, USA with a Ph.D. in Quantitative Psychology from Georgia Tech, USA. She specializes in psychometrics, assessment design, and applied research, with experience spanning academia and industry. |
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