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Tag: Embedded

  • HP Brocade 16Gb/28c PP+ Embedded SAN Switch for c-Class C8S47A 724425-001

    HP Brocade 16Gb/28c PP+ Embedded SAN Switch for c-Class C8S47A 724425-001



    HP Brocade 16Gb/28c PP+ Embedded SAN Switch for c-Class C8S47A 724425-001

    Price : 120.00

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    Introducing the HP Brocade 16Gb/28c PP+ Embedded SAN Switch for c-Class C8S47A 724425-001

    Looking for a reliable and high-performance SAN switch for your c-Class enclosure? Look no further than the HP Brocade 16Gb/28c PP+ Embedded SAN Switch. This switch is designed to provide fast and seamless connectivity for your storage area network, ensuring maximum efficiency and performance.

    With 16Gb speeds and 28 ports, this switch offers plenty of bandwidth for your data-intensive applications. Plus, with Brocade’s industry-leading technology, you can trust that your data will be secure and protected at all times.

    The HP Brocade 16Gb/28c PP+ Embedded SAN Switch is easy to install and manage, making it a hassle-free solution for your storage needs. And with HP’s reputation for quality and reliability, you can trust that this switch will deliver consistent performance day in and day out.

    Don’t settle for subpar connectivity in your data center. Upgrade to the HP Brocade 16Gb/28c PP+ Embedded SAN Switch for c-Class C8S47A 724425-001 and experience the difference for yourself.
    #Brocade #16Gb28c #Embedded #SAN #Switch #cClass #C8S47A, Storage Area Network (SAN)

  • High Performance Embedded Architectures and Compilers: Fourth International Conf

    High Performance Embedded Architectures and Compilers: Fourth International Conf



    High Performance Embedded Architectures and Compilers: Fourth International Conf

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    erence.

    The Fourth International Conference on High Performance Embedded Architectures and Compilers (HiPEAC) is set to take place in January 2023. This conference brings together researchers, developers, and industry experts to discuss the latest advancements in embedded systems and compiler technologies.

    Attendees can expect to hear about cutting-edge research in areas such as hardware/software codesign, real-time systems, energy-efficient computing, and parallel programming for embedded systems. Keynote speakers from academia and industry will provide insights into the future of embedded architectures and compilers.

    The conference will also feature workshops, tutorials, and poster sessions, providing opportunities for networking and collaboration. Whether you are a seasoned researcher or a newcomer to the field, HiPEAC 2023 promises to be an exciting and informative event.

    Stay tuned for more information on registration, speakers, and program details. Don’t miss your chance to be a part of this premier conference on high-performance embedded architectures and compilers!
    #High #Performance #Embedded #Architectures #Compilers #Fourth #International #Conf, high-performance computing

  • Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Use Cases

    Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Use Cases



    Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Use Cases

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    As the world becomes more interconnected through the Internet of Things (IoT) and edge computing, the need for embedded machine learning solutions in cyber-physical systems is becoming increasingly important. These technologies have the potential to revolutionize industries such as manufacturing, healthcare, transportation, and more by enabling real-time data analysis and decision-making at the edge of the network.

    One key use case for embedded machine learning in cyber-physical systems is predictive maintenance. By analyzing data from sensors embedded in machinery, algorithms can predict when equipment is likely to fail and trigger maintenance before a breakdown occurs. This can help companies avoid costly downtime and improve overall operational efficiency.

    Another use case is in autonomous vehicles, where embedded machine learning can help vehicles make real-time decisions based on sensor data to navigate safely and efficiently. This technology is crucial for the development of self-driving cars and other autonomous vehicles that rely on complex algorithms to interpret their surroundings and make split-second decisions.

    In the healthcare industry, embedded machine learning can be used to monitor patients in real-time and alert healthcare providers to potential issues before they escalate. For example, wearable devices equipped with machine learning algorithms can track vital signs and detect abnormalities, allowing for early intervention and better patient outcomes.

    Overall, embedded machine learning holds immense potential for revolutionizing cyber-physical systems, IoT, and edge computing across a wide range of industries. By enabling real-time data analysis and decision-making at the edge of the network, these technologies have the power to drive innovation and improve efficiency in countless applications.
    #Embedded #Machine #Learning #CyberPhysical #IoT #Edge #Computing #Cases, machine learning

  • Ti Msp432 Arm Programming for Embedded Systems by Shujen Chen, Muhammad Ali Mazi

    Ti Msp432 Arm Programming for Embedded Systems by Shujen Chen, Muhammad Ali Mazi



    Ti Msp432 Arm Programming for Embedded Systems by Shujen Chen, Muhammad Ali Mazi

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    In this post, we will be discussing the book “Ti Msp432 Arm Programming for Embedded Systems” by Shujen Chen and Muhammad Ali Mazi. This book is a comprehensive guide for programmers looking to learn about ARM programming for embedded systems using the TI MSP432 microcontroller.

    The authors cover a wide range of topics, starting from the basics of ARM architecture and programming, to more advanced concepts such as real-time operating systems and debugging techniques. The book also includes hands-on examples and exercises to help readers apply their knowledge in practical scenarios.

    Overall, “Ti Msp432 Arm Programming for Embedded Systems” is a valuable resource for anyone looking to enhance their skills in embedded systems programming. Whether you are a beginner or an experienced programmer, this book will provide you with the tools and knowledge needed to succeed in the field.

    Have you read this book? What are your thoughts on it? Let us know in the comments below!
    #Msp432 #Arm #Programming #Embedded #Systems #Shujen #Chen #Muhammad #Ali #Mazi, MSP

  • Machine Learning for Embedded System Security, Hardcover by Halak, Basel (EDT…

    Machine Learning for Embedded System Security, Hardcover by Halak, Basel (EDT…



    Machine Learning for Embedded System Security, Hardcover by Halak, Basel (EDT…

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    Machine Learning for Embedded System Security, Hardcover by Halak, Basel (EDT)

    In today’s interconnected world, the security of embedded systems is of utmost importance. With the rise of Internet of Things (IoT) devices and smart technologies, the need for secure embedded systems has never been greater. Machine learning, a subset of artificial intelligence, has emerged as a powerful tool in enhancing the security of embedded systems.

    In this groundbreaking book, edited by Basel Halak, leading experts in the field of embedded system security delve into the use of machine learning techniques to protect these critical systems from cyber threats. From malware detection to anomaly detection and intrusion prevention, machine learning has the potential to revolutionize the way we safeguard embedded systems.

    This comprehensive guide covers a wide range of topics, including:

    – Introduction to machine learning and its applications in embedded system security
    – Machine learning algorithms for malware detection and classification
    – Anomaly detection techniques using machine learning
    – Intrusion prevention systems powered by machine learning
    – Case studies and real-world examples of machine learning in embedded system security

    Whether you are a security professional, a researcher, or a student interested in the intersection of machine learning and embedded system security, this book is a must-read. Stay ahead of the curve and learn how machine learning can help protect the devices that power our connected world.
    #Machine #Learning #Embedded #System #Security #Hardcover #Halak #Basel #EDT..

  • QNAP TS-473A-8G-US AMD Ryzen Embedded V1500B quad-core 2.2GHz 4-Bay 2.5GbE NAS

    QNAP TS-473A-8G-US AMD Ryzen Embedded V1500B quad-core 2.2GHz 4-Bay 2.5GbE NAS



    QNAP TS-473A-8G-US AMD Ryzen Embedded V1500B quad-core 2.2GHz 4-Bay 2.5GbE NAS

    Price : 799.99

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    If you’re in need of a powerful and reliable network-attached storage solution, look no further than the QNAP TS-473A-8G-US. This NAS is powered by an AMD Ryzen Embedded V1500B quad-core 2.2GHz processor, providing ample processing power for all your storage needs.

    With four drive bays, the TS-473A-8G-US offers plenty of storage space for your files and data. And with 2.5GbE networking capabilities, you can expect lightning-fast data transfer speeds for all your devices on the network.

    Whether you’re a small business looking for a centralized storage solution or a home user in need of a reliable backup system, the QNAP TS-473A-8G-US is a versatile and high-performance NAS that will meet all your storage needs.
    #QNAP #TS473A8GUS #AMD #Ryzen #Embedded #V1500B #quadcore #2.2GHz #4Bay #2.5GbE #NAS, Network Attached Storage (NAS)

  • Model-Based Engineering of Collaborative Embedded Systems: Extensions of the SPE

    Model-Based Engineering of Collaborative Embedded Systems: Extensions of the SPE



    Model-Based Engineering of Collaborative Embedded Systems: Extensions of the SPE

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    Model-Based Engineering (MBE) is a powerful approach to designing complex systems by using models to capture and analyze system requirements, design, and behavior. In the realm of collaborative embedded systems, MBE has become increasingly important as these systems become more interconnected and interdependent.

    One of the key frameworks for MBE in collaborative embedded systems is the Systems and Software Engineering (SPE) framework. The SPE framework provides a set of guidelines and best practices for modeling and analyzing collaborative embedded systems. However, as the complexity and scale of these systems continue to grow, there is a need for extensions and enhancements to the SPE framework.

    In this post, we will explore some of the extensions of the SPE framework that have been proposed to address the challenges of modeling collaborative embedded systems. These extensions include:

    1. Integration of multiple viewpoints: Collaborative embedded systems often involve multiple stakeholders with different perspectives and requirements. By incorporating multiple viewpoints into the modeling process, designers can ensure that all aspects of the system are considered and integrated effectively.

    2. Support for dynamic adaptation: Collaborative embedded systems often operate in dynamic and unpredictable environments, requiring the ability to adapt and reconfigure in real-time. Extensions to the SPE framework can include support for dynamic adaptation, allowing designers to model and analyze the behavior of the system under changing conditions.

    3. Verification and validation techniques: As collaborative embedded systems become more complex, the need for rigorous verification and validation techniques becomes increasingly important. Extensions to the SPE framework can include tools and methodologies for verifying the correctness of system models and ensuring that they meet the desired requirements.

    Overall, the extensions of the SPE framework aim to enhance the modeling and analysis capabilities of MBE in collaborative embedded systems, enabling designers to develop more robust and reliable systems. By incorporating these extensions into their design process, engineers can ensure that collaborative embedded systems meet the increasing demands of today’s interconnected world.
    #ModelBased #Engineering #Collaborative #Embedded #Systems #Extensions #SPE, autonomous vehicles

  • High-Performance and Time-Predictable Embedded Computing, Hardcover by Pinho,…

    High-Performance and Time-Predictable Embedded Computing, Hardcover by Pinho,…



    High-Performance and Time-Predictable Embedded Computing, Hardcover by Pinho,…

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    High-Performance and Time-Predictable Embedded Computing, Hardcover by Pinho: A Must-Have Guide for Embedded Systems Engineers

    Are you an embedded systems engineer looking to optimize the performance and predictability of your computing systems? Look no further than “High-Performance and Time-Predictable Embedded Computing” by renowned expert, Pinho.

    In this comprehensive guide, Pinho covers everything from the fundamentals of embedded computing to advanced techniques for achieving high performance and time predictability in your designs. With a focus on practical, real-world examples and case studies, this book is sure to become an indispensable resource for anyone working in the field.

    Whether you’re a seasoned professional or just starting out in the world of embedded systems, “High-Performance and Time-Predictable Embedded Computing” is a must-have addition to your library. Get your hands on a copy today and take your embedded computing skills to the next level!
    #HighPerformance #TimePredictable #Embedded #Computing #Hardcover #Pinho.., high-performance computing

  • Embedded Systems Development: From Functional Models to Implementations by Alber

    Embedded Systems Development: From Functional Models to Implementations by Alber



    Embedded Systems Development: From Functional Models to Implementations by Alber

    Price : 142.82

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    In the world of embedded systems development, transitioning from functional models to actual implementations can be a challenging yet rewarding process. Alber’s latest post delves into the intricacies of this journey, shedding light on the key steps and considerations involved in bringing a concept to life in the embedded systems realm.

    From defining requirements and selecting the appropriate hardware components to designing the software architecture and testing for reliability and performance, Alber covers it all in this comprehensive guide. Whether you’re a seasoned embedded systems engineer or a newcomer to the field, this post offers valuable insights and practical tips to help you navigate the development process with confidence and efficiency.

    So if you’re looking to take your embedded systems projects to the next level, be sure to check out Alber’s latest post on Embedded Systems Development: From Functional Models to Implementations. It’s a must-read for anyone interested in mastering the art of turning ideas into reality in the fast-paced world of embedded systems.
    #Embedded #Systems #Development #Functional #Models #Implementations #Alber, Data Center Electrical Systems

  • ieGeek 2K WiFi Battery Powered Home Surveillance Camera W/ Embedded Solar Panel

    ieGeek 2K WiFi Battery Powered Home Surveillance Camera W/ Embedded Solar Panel



    ieGeek 2K WiFi Battery Powered Home Surveillance Camera W/ Embedded Solar Panel

    Price : 59.99

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    Introducing the ieGeek 2K WiFi Battery Powered Home Surveillance Camera with Embedded Solar Panel!

    Are you looking for a reliable and convenient way to keep an eye on your home while you’re away? Look no further than the ieGeek 2K WiFi Battery Powered Home Surveillance Camera. This innovative camera is equipped with a high-quality 2K resolution lens, providing crystal clear footage of your property.

    But what sets this camera apart is its embedded solar panel, allowing for continuous power supply without the need for frequent battery changes. With just a few hours of sunlight each day, you can keep your camera running 24/7, ensuring that you never miss a moment.

    The ieGeek 2K WiFi Battery Powered Home Surveillance Camera also features advanced motion detection technology, sending instant alerts to your phone when activity is detected. With the ability to view live footage and playback recordings from anywhere, you can have peace of mind knowing that your home is always protected.

    Don’t compromise on the safety of your home. Invest in the ieGeek 2K WiFi Battery Powered Home Surveillance Camera with Embedded Solar Panel today and enjoy the convenience of wireless, solar-powered surveillance. #homesecurity #surveillancecamera #ieGeek2KWiFiCamera
    #ieGeek #WiFi #Battery #Powered #Home #Surveillance #Camera #Embedded #Solar #Panel, Cloud Storage