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Computers, Special purpose. --- Medical informatics --- Bioinformatics --- Special purpose computers --- Computers
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Digitale Arbeitsmittel dringen in Arbeitsbereiche vor, in denen sie bislang nur eine untergeordnete Rolle spielten. Die Langzeitpflege ist einer dieser Bereiche, in dem die Arbeit am Menschen und mit dem Menschen im Mittelpunkt steht. Die Akzeptanz digitaler Technik ist daher bei den Beschäftigten in der Pflege voraussetzungsreich. Um Chancen verwirklichen zu können, die in der Technik für gute Arbeit in der Langzeitpflege liegen, bedarf es einer umfassenden Planung, Einführung und Begleitung von Digitalisierungsprojekten. In diesem Band werden zentrale Dimensionen und notwendige Ressourcen des „Veränderungsprojekts Digitalisierung in der Langzeitpflege“ diskutiert. Zu bedenken sind nicht nur technische, ethische, arbeits- und datenschutzrechtliche Aspekte. Zudem sind für die erfolgreiche Integration in den Arbeitsalltag eine vorausschauende Arbeitsorganisation und Kompetenzentwicklung sowie eine partizipative und motivierende Lern- und Führungskultur bedeutend. Die Herausgeber Dr. Peter Bleses ist Leiter der Abteilung "Perspektiven nachhaltiger Beschäftigungsfähigkeit" am Institut Arbeit und Wirtschaft der Universität und Arbeitnehmerkammer Bremen. Dr. Britta Busse ist stellvertretende Leiterin der Abteilung "Perspektiven nachhaltiger Beschäftigungsfähigkeit" am Institut Arbeit und Wirtschaft der Universität und Arbeitnehmerkammer Bremen. Andreas Friemer ist Wissenschaftlicher Mitarbeiter in der Abteilung "Perspektiven nachhaltiger Beschäftigungsfähigkeit" am Institut Arbeit und Wirtschaft der Universität und Arbeitnehmerkammer Bremen.
Computers, Special purpose --- Educational technology. --- Engineering economy. --- Design and construction.
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Unlock the potential of your robots by enhancing their perception with cutting-edge artificial intelligence and machine learning techniques. From neural networks to computer vision, this book equips you with the tools and practical use cases to create truly smart robots. Starting with robotics basics, robot architecture, control systems, and decision-making theory, this book presents systems-engineering methods to design problem-solving robots with single-board computers. You’ll explore object recognition and genetic algorithms to teach your robot to identify and pick up objects, and you'll also harness the power of natural language processing to give your robot a voice. To enhance your robot further, you’ll master neural networks to classify and separate objects and navigate autonomously, before advancing to guiding your robot arms using reinforcement learning and genetic algorithms. The book also covers path planning and goal-oriented programming to prioritize your robot's tasks, showing you how to connect all software using Python and ROS 2 for a seamless experience. By the end of this book, you’ll have learned how to transform your robot into a helpful assistant with NLP and give it an artificial personality, ready to tackle real-world tasks and even crack jokes.
Artificial intelligence. --- Computer networks. --- Computers, Special purpose. --- Robotics.
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This book constitutes the refereed post-conference proceedings of the 12th EAI International Conference on Mobile Networks and Management, MONAMI 2022, which took place virtually during October 29-31, 2022. The 31 full papers were carefully reviewed and selected from 78 submissions. The papers are divided into groups of content as follows: Innovative Artificial Intelligence Applications for Smart City; The New Era of Computer Network by using Machine Learning; Advanced Technologies in Edge and Fog Computing; Emerging Technologies in Mobile Networks and Management; and Recent Advances in Communications and Computing.
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This book constitutes the refereed post-conference proceedings of the 12th EAI International Conference on Mobile Networks and Management, MONAMI 2022, which took place virtually during October 29-31, 2022. The 31 full papers were carefully reviewed and selected from 78 submissions. The papers are divided into groups of content as follows: Innovative Artificial Intelligence Applications for Smart City; The New Era of Computer Network by using Machine Learning; Advanced Technologies in Edge and Fog Computing; Emerging Technologies in Mobile Networks and Management; and Recent Advances in Communications and Computing.
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This book presents a methodology for the real-time scheduling problems of real-time systems (RTS) from the viewpoint of control theory. Generally, any system can be viewed as an RTS if it performs real-time application functions and behaves correctly depending on given logical activities and satisfying specified deadlines for the activities. This monograph provides broad views and detailed introductions to supervisory control theory (SCT) and its application in real-time scheduling and reconfiguration. Based on three popular SCT modelling frameworks, discrete-event system (DES), timed DES (TDES), and state-tree structures (STS), the authors provide RTS modelling frameworks; thereafter, SCT is used to find their safe execution sequences. As the main contribution, we use (untimed) DES events to represent the execution and preemption of each individual RTS task. This modelling formalism brings the possibilities to model the preemptions of tasks’ executions. Furthermore, in some cases, priorities cannot be assigned to real-time tasks. In order to solve this problem, a matrix-based priority-free conditional-preemption (PFCP) relation is provided, which generalizes fixed-priority (FP) RTS scheduling. As a natural extension, a generalized modular modelling framework is presented to model the task parameters instead of the global real-time task. The modular models are taken to be generic entities, which also considers the exact execution time of real-time tasks. STS are undoubtedly recognized as a computationally efficient SCT framework which manages the state explosion problem significantly. Hence, building on the (untimed) modular RTS models, a novel STS-based RTS modeling framework is formulated, by assigning dynamic priorities as specified optimality criteria, which can be utilized to model sporadic RTS processing both sporadic and (multi-period) periodic tasks, providing a small set of the safe execution sequences which rank at the top.
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As a privacy-preserving and illumination-robust manner, WiFi signal-based user authentication has become a new direction for ubiquitous user authentication to protect user privacy and security. It gradually turns into an important option for addressing the security concern of IoT environment. However, due to the limited sensing capability of WiFi signals and wide application scenarios, WiFi signal-based user authentication suffers from practical issues of diversified behaviors and complex scenarios. Therefore, it is necessary to address the issues and build integrated systems for user authentication using WiFi signals. In this book, the development and progress of WiFi signal-based user authentication systems in extensive scenarios are presented, which provides a new direction and solution for ubiquitous security and privacy protection. This book gives strong motivation of leveraging WiFi signals to sense human activities for user authentication, and presents the key issues of WiFi-based user authentication in diversified behaviors and complex scenarios. This book provides the approaches for digging WiFi signals to sense human activities and extract features, realizing user authentication under fine-grained finger gestures, undefined body gestures, and multi-user scenarios. State-of-the-art researches and future directions involved with WiFi signal-based user authentication are presented and discussed as well. This book will benefit researchers and practitioners in the related field.
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