Estimation problems in hybrid systems / / David D. Sworder, John E. Boyd [[electronic resource]]

• Record Nr.: UNINA9910455600603321
• Autore: Sworder David D.
• Pubbl/distr/stampa: Cambridge : , : Cambridge University Press, , 1999
• ISBN: 1-107-11111-0; 0-511-00781-7; 1-280-41890-7; 9786610418909; 0-511-17175-7; 0-511-14906-9; 0-511-30201-0; 0-511-54615-7; 0-511-05059-3
• Descrizione fisica: 1 online resource (xxi, 270 pages) : digital, PDF file(s)
• Disciplina: 629.8/3
• Soggetti: Feedback control systems; Estimation theory; Nonlinear theories
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Title from publisher's bibliographic system (viewed on 05 Oct 2015).
• Nota di bibliografia: includes bibliographical references (p. 257-262) and index.
• Nota di contenuto: 1. Hybrid Estimation -- ; 2. The Polymorphic Estimator -- ; 3. Situation Assessment -- ; 4. Image-Enhanced Target Tracking -- ; 5. Hybrid Plants with Base-State Discontinuities -- ; 6. Mode-Dependent Observations -- ; 7. Control of Hybrid Systems -- ; 8. Target Recognition and Prediction -- ; 9. Hybrid Estimation Using Measure Changes -- ; App. 1. PME Derivation Details -- ; App. 2. COM Derivation Details.
• Sommario/riassunto: Developments in sensor and processor sophistication have created a need for effective estimation and control algorithms for hybrid, nonlinear systems. This book presents an effective, flexible family of estimation algorithms that can be used in estimating or controlling a variety of nonlinear plants. Several applications are studied, including ; tracking a manoeuvring aircraft, automatic target recognition, and the decoding of signals transmitted across a wireless communications link. The authors begin by setting out the necessary theoretical background and then develop a practical, finite-dimensional approximation to an optimal estimator. Throughout the book, they illustrate theoretical results by simulation of control and estimation in real-world hybrid systems, drawn from a variety of engineering fields. The book will be of great interest to graduate students and researchers in electrical and computer engineering. It will also be a useful reference for practising engineers involved in the design of estimation, tracking or wireless communications systems.

30 Years since the Fall of the Berlin Wall : Turns and Twists in Economies, Politics, and Societies in the Post-Communist Countries / / edited by Alexandr Akimov, Gennadi Kazakevitch

• Record Nr.: UNINA9910373880703321
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore : , : Imprint : Palgrave Macmillan, , 2020
• ISBN: 9789811503177; 9811503176
• Edizione: [1st ed. 2020.]
• Descrizione fisica: 1 online resource (xvi, 437 pages) : color illustrations, maps, charts
• Collana: Palgrave Studies in Economic History, , 2662-6500
• Disciplina: 306.0947
• Soggetti: Economic history; Europe - Economic conditions; Europe - Politics and government; Europe, Central - History; Economics; Economic History; European Economics; European Politics; History of Germany and Central Europe; Political Economy and Economic Systems; Mur de Berlín, 1961-1989; Política internacional; Postcomunisme; Llibres electrònics; Europa de l'Est; Europa central
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 1. 30 Years after the Fall of the Berlin Wall: Trends and the Current State of Communism and Post-Communism in Europe and Asia -- 2. A Taxonomy of Post-Communist Economies after 30 Years of Reforms -- 3. The Central Asian Countries’ Economies in the Twenty-First Century -- 4. The Post-Communist Transition of the Western Balkans: EUropeanisation with a Small Enlargement Carrot -- 5. Oragnised Crime in—and from—Communist and Post-Communist States -- 6. US-Russia Relations in the Last 30 Years: From a Rapprochement to a Meltdown -- 7. Russia’s Growing Relationship with Iran: Strategic or Tactical? -- 8. Energy Integration in the Eurasian Economic Union: A Preliminary Study on Progress and Policy Implications -- 9. Mediating Populist Discourse in Russia via YouTube: The Case of Alexey Navalny -- 10. Why Uzbekistan and Kazakhstan Are Not Singapore: Comparing the First 25 Years of Reforms -- 11. Money Can’t Buy Me Love, But It Can Buy Apples: An Analysis of Fruit and Vegetable Demand in Uzbekistan -- 12. Squandering Remittances Income in Conspicuous Consumption? -- 13. Equal Citizenship, Ethnicity, and Language Dilemmas in the Context of the Post-Socialist Reforms in Central Asia -- 14. The Horrors of Exclusion: Zygmunt Bauman’s Sociological Journey -- 15. Failures and Successes: Soviet and Chinese State-Socialist Reforms in the Face of Global Capitalism -- 16. Legal Continuity and Change: Two Russian Revolutions and Perestroika through the Prism of Kelsen’s Grundnorm and Hart’s Secondary Rules -- 17. ‘Fleeing Communism’: Yugoslav and Vietnamese Post-War Migration to Australia and Changes to Immigration Policy.
• Sommario/riassunto: The year 2019 marks 30 years since the fall of the Berlin wall. This symbolic event led to German unification and the collapse of communist party rule in countries of the Soviet-led Eastern bloc. Since then, the post-communist countries of Central, Eastern and South-eastern Europe have tied their post-communist transition to deep integration into the West, including EU accession. Most of the states in Central and Eastern Europe have been able to relatively successfully transform their previous communist political and economic systems. In contrast, the non-Baltic post-Soviet states have generally been less successful in doing so. This book, with an internationally respected list of contributors, seeks to address and compare those diverse developments in communist and post-communist countries and their relationship with the West from various angles. The book has three parts. The first part addresses the progress of post-communist transition in comparative terms, including regional focus on Eastern and South Eastern Europe, CIS and Central Asia. The second focuses on Russia and its foreign relationship, and internal politics. The third explores in detail economies and societies in Central Asia. The final part of the book draws some historical comparisons of recent issues in post-communism with the past experiences.

Computational Collective Intelligence : 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz

• Record Nr.: UNINA9910886987303321
• Autore: Nguyen Ngoc Thanh
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
• ISBN: 3-031-70819-9
• Edizione: [1st ed. 2024.]
• Descrizione fisica: 1 online resource (415 pages)
• Collana: Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 14811
• Altri autori (Persone): FranczykBogdan; LudwigAndré; NúñezManuel; TreurJan; VossenGottfried; KozierkiewiczAdrianna
• Disciplina: 006.3
• Soggetti: Artificial intelligence; Computer engineering; Computer networks; Data structures (Computer science); Information theory; Computer science; Artificial Intelligence; Computer Engineering and Networks; Computer Communication Networks; Data Structures and Information Theory; Theory of Computation
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: -- Social Networks and Intelligent Systems. -- A deep learning approach to fine-grained political ideology classification on social media texts. -- Enhancing Social Network Trust with Improved ; EigenTrust Algorithm. -- An Empirical Analysis of the Usage of Requirements Attributes in Requirements Engineering Research and Practice. -- Experimental Study on Link Prediction in Unweighted and Weighted Time-Evolving Organizational Social Network. -- Assessing Student Quality of Life: Analysis of Key Influential Factors. -- An Adaptive Network Model for Interpersonal Emotion Regulation in Multimodal Human-Bot Interaction. -- Cybersecurity, Blockchain Technology, and Internet of Things. -- Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning. -- Daily activities forecasting for long-term elderly behavior change detection. -- Detection of Fake Facial Images and Changes in Real Facial Images. -- TabGAN-powered Data Augmentation and Explainable Boosting-based Ensemble Learning for Intrusion Detection in Industrial Control Systems. -- Malware detection among contact tracing apps with deep learning. -- Cooperative Strategies for Decision Making and Optimization. -- Modeling the Functioning of Decision Trees Based on Decision Rule Systems by Greedy Algorithm. -- Delays in computing with parallel metaheuristics on HPC infrastructure. -- Reinforcement Learning-Based Cooperative Traffic Control System. -- Discovering Spatial Prevalent Co-location Patterns by Once Scanning Datasets without Generating Candidates. -- New results for some Tur´an problem instances obtained using the reinforcement learning technique. -- Computational Intelligence for Digital Content Understanding. -- Impact of acquisition parameters on the performance of radiomic systems. -- Feature Explainability and Enhancement for Skin Lesion Image Analysis. -- Toward Intelligent Ethnicity Recognition and Face Anonymization: An IncepX-Ensemble Model Approach. -- Weak Supervised Asphalt Pavement Segmentation. -- New Presence-Dependent Binary Similarity Measures for Pairwise Label Comparisons in Multi-label Classification. -- Synergistic Feature Fusion for Improved Classification: Combining Dempster-Shafer Theory and Multiple CNN Architectures. -- Knowledge Engineering and Application for Industry 4.0. -- High learning hierarchical neural networks. -- A new method of detecting Alzheimer’s disease. -- GCC Aware Glaucoma Detection Using Macula OCT Image Analysis Based on Deep Convolutional Neural Networks. -- Understanding Geometric Relationship Concepts in Few-Shot Learning. -- Applicability criterion of the Non Overlapping Template Matching algorithm from NIST Statistical Test Suite SP800-22 for long aperiodic patterns. -- Enhanced Activity Recognition through Joint utilization of Decimal Descriptors and Temporal Binary Motions. -- Using Multilevel Temporal Factorisation to Analyse Structure and Dynamics for Higher-Order Adaptive and Evolutionary Processes.
• Sommario/riassunto: This two-volume set LNAI 14810-14811 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9–11, 2024. The 59 revised full papers presented in these proceedings were carefully reviewed and selected from 234 submissions. Part I: collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning Part II: social networks and intelligent system; cybersecurity, blockchain technology, and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for industry 4.0 .