Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Datenschutz

Protection des données

Impressum

Mentions légales

Zahlung und Lieferung

Paiement et livraison

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Publikationen

Publications

Literatur

Onlinemodule LEXIA

Modules en ligne LEXIA

Bücher

Livres

Buchreihen

Collections

Datenbanken

recht.ch

Studienliteratur

Littérature pour les études

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Autorenstimmen

Témoignages

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Vision und Mission

Vision et mission

Unser Magazin

Notre magazine

Unternehmenskultur

Culture d'entreprise

Partner

Partenaires

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Unsere Funktionen

Nos fonctions

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

Shih R: SOLIDWORKS 2025 and Engineering
Graphics

SOLIDWORKS 2025 and Engineering Graphics

An Integrated Approach

Frameworks and Applications

Human-Centered AI

Securing Electric Mobility is an essential read for those seeking comprehensive knowledge about the cyber-physical intricacies of EVs. The book delves into the fundamental elements of EVs, their interconnectedness, and the vulnerabilities that arise from these characteristics. It carefully examines the digital threat landscape, increasing awareness of potential cyber risks to electric vehicles. From there, it explores data management, regulatory frameworks, existing solutions, and emerging cybersecurity protocols and methodologies. This thorough overview is further enriched by real-world case studies which demonstrate the effectiveness of the approaches adopted to safeguard vehicle control systems, owners' personal data, and the broader cyber-physical network and related equipment. The book proves to be a cardinal resource for academia and industry alike, as it encourages transformative interdisciplinary investigations into the security complexities guiding EVs' resilience evolution. Highlighting the integration of blockchain, artificial intelligence, Internet-of-Things, machine learning, and real-time monitoring systems, Securing Electric Mobility offers state-of-the-art insights valuable for academia and industry.

Securing Electric Mobility

A complete and up-to-date overview of popular and practical erasure codes in distributed storage In Distributed Storage in Practice, a team of distinguished researchers delivers a comprehensive discussion on distributed storage coding and distributed storage systems. Divided into two parts, the book first explores distributed storage coding technology based on Maximum Distance Separable (MDS) codes, including array codes, Reed-Solomon codes, locally repairable codes, and regenerating codes. It then goes on to examine the challenges presented by repairing distributed data in real-world scenarios. Distributed Storage in Practice uses two perspectives: practical optimization of distributed storage coding and emerging technologies such as blockchain. It discusses the technical foundations of blockchain and integrates blockchain into distributed storage systems. It also offers an overview of several popular blockchain-based storage systems. It also includes: <ul> <li>A thorough introduction to the current development of quantum technology, including its fundamentals, quantum memory, quantum computers, quantum security, and quantum networks</li> <li>Comprehensive explorations of data recovery methods for specific networked distributed storage scenarios</li> <li>Practical integrations of theory and practice, including classic techniques and the most recent advancements in storage coding</li> <li>A practical example of a distributed secure storage system integrated with blockchain technology</li> </ul> Perfect for researchers and undergraduate and graduate students studying computer science, Distributed Storage in Practice will also benefit blockchain professionals.

Distributed Storage in Practice

In diesem Lehrbuch werden die wesentlichen Schritte und Abläufe für die Planung und Durchführung von Automatisierungsprojekten im Bereich der Verfahrenstechnik beschrieben, wobei sowohl kontinuierliche als auch ereignisdiskrete Prozesse betrachtet werden. Ausgehend vom allgemeinen Aufbau einer Automatisierungsanlage werden dazu Erarbeitung und Inhalt der wesentlichen Projektunterlagen, Steuerungs- bzw. Regelungsentwurf sowie Grundlagen zur Projektierung der Hilfsenergieversorgung erläutert, wobei hinsichtlich des R&amp;I-Fließschemas auch auf den Übergang von DIN 19227 zu DIN EN 62424 sowie hinsichtlich des EMSR-Stellenplans von DIN 40719 zu DIN EN 81346 eingegangen wird. Darstellungen zur Angebotserstellung und Kalkulation von Automatisierungsprojekten runden das Thema ab.
 Der Inhalt
 Anschauliche Einführung in die Projektierungsproblematik an Hand von Beispielen kontinuierlicher bzw. ereignisdiskreter Prozesse – Lastenheft – Verfahrensfließschema – Basic-Engineering (R&amp;I-Fließschema/R&amp;I-Fließbild, EMSR-Stellenliste, Auswahl und Dimensionierung von Sensorik, Aktorik sowie Prozessorik, leittechnisches Mengengerüst) – Detail-Engineering&nbsp;(Pflichtenheft, EMSR-Stellenpläne/PCE-Stellenpläne, Regelungs- bzw. Steuerungsentwurf aus Sicht der Projektierung, Erarbeitung der Anwendersoftware) – Projektierung der Hilfsenergieversorgung – Prozesssicherung –Nutzung von CAE-Software – Grundlagen zur Angebotserstellung und Kalkulation von Automatisierungsprojekten
 Die AutorenProf. Dr.-Ing. Thomas Bindel
 lehrt Automatisierungstechnik an der Fakultät Elektrotechnik der Hochschule für Technik und Wirtschaft Dresden.
 Priv.-Doz. Dr.-Ing. Dieter Hofmann
 lehrte und lehrt Prozessautomatisierung an der TU Dresden sowie an der Staatlichen Studienakademie Bautzen.

Eine effektive und anschauliche Einführung

Projektierung von Automatisierungsanlagen

Data-Driven Modeling

Distributed and Parallel Computing

Originating from the lattice Gas Automaton, LBM has reshaped the field with its straightforward approach and high efficacy. Despite its widespread use, navigating the scattered literature can be daunting for newcomers. Fluid Dynamics with the Lattice Boltzmann Method presents a clear path from novice to expert. This comprehensive guide bridges gaps in understanding, covering essential principles and exploring advanced topics like compressible flows and combustion. Authored by experts, this book consolidates diverse models and recent advancements, ensuring you're equipped to navigate the latest developments in computational fluid dynamics. Whether you're just starting out or aiming to stay ahead of the curve, this book is your essential companion in mastering LBM.

Fluid Dynamics with the Lattice Boltzmann Method

Practical Bioinformatics

Forensic Engineering for Academia

Artificial Intelligence for Smart Internet of Things Applications

Quantum Machine Learning

Up-to-date reference enabling readers to address the full spectrum of AI security challenges while maintaining model utility Generative AI Security: Defense, Threats, and Vulnerabilities delivers a technical framework for securing generative AI systems, building on established standards while focusing specifically on emerging threats to large language models and other generative AI systems. Moving beyond treating AI security as a dual-use technology, this book provides detailed technical analysis of three critical dimensions: implementing AI-powered security tools, defending against AI-enhanced attacks, and protecting AI systems from compromise through attacks like prompt injection, model poisoning, and data extraction. The book provides concrete technical implementations supported by real-world case studies of actual AI system compromises, examining documented cases like the DeepSeek breaches, Llama vulnerabilities, and Google's CaMeL security defenses to demonstrate attack methodologies and defense strategies while emphasizing foundational security principles that remain relevant despite technological shifts. Each chapter progresses from theoreticalfoundations to practical applications. The book also includes an implementation guide and hands-on exercises focusing on specific vulnerabilities in generative AI architectures, security control implementation, and compliance frameworks. Generative AI Security: Defense, Threats, and Vulnerabilities discusses topics including: <ul> <li>Machine learning fundamentals, including supervised, unsupervised, and reinforcement learning and feature engineering and selection</li> <li>Intelligent Security Information and Event Management (SIEM), covering AI-enhanced log analysis, predictive vulnerability assessment, and automated patch generation</li> <li>Deepfakes and synthetic media, covering image and video manipulation, voice cloning, audio deepfakes, and AI's greater impact on information integrity</li> <li>Security attacks on generative AI, including jailbreaking, adversarial, backdoor, and data poisoning attacks</li> <li>Privacy-preserving AI techniques including federated learning and homomorphic encryption</li> </ul> Generative AI Security: Defense, Threats, and Vulnerabilities is an essential resource for cybersecurity professionals and architects, engineers, IT professionals, and organization leaders seeking integrated strategies that address the full spectrum of Generative AI security challenges while maintaining model utility.

Triangulating AI Security

Multi-Agent Control Systems

SOLIDWORKS 2025 and Engineering Graphics

Autres titres sur ce thème