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ASUS, the global motherboard leader, has announced a new approach to motherboard design, Dual Intelligent Processors, with two intelligent co-processors responsible for system optimization towards better performance and greater energy efficiency.

In collaboration with Intel, Advantech built the USM-600 workstation on an Intel MECA baseboard with the capacity to support more than one CPU board. Accordingly, USM-600 features two CPU boards connected to a single baseboard. These CPU boards serve as two independent systems that can be equipped with Windows or Android operating systems, enabling each USM-600 workstation to support dual OS. This allows multiple edge AI tasks to be processed simultaneously for accelerated edge computing.

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Founded in 1983, Advantech is a leading provider of trusted, innovative products, services, and solutions. Advantech offers comprehensive system integration, hardware, software, customer-centric design services, embedded systems, automation products, and global logistics support. We cooperate closely with our partners to provide complete solutions for a wide range of applications in diverse industries. Our mission is to enable an intelligent planet by developing automated and embedded computing products and solutions that facilitate smarter working and living. With Advantech products, the application and innovation potential becomes unlimited. (Corporate website: www.advantech.com).

Data Device Corporation (DDC) a major company in data networking technologyfor military applications recently announced the introduction of its GigExtremeseries of intelligent Gigabit Ethernet Network Access Controllers. DDC hasdesigned the GigExtreme ET- 71000 gigabit ethernet card from the ground up tomeet the demanding challenges of flight critical military applications and harshmilitary environments. ET-71000 cards feature a dual redundant architecture withautonomous failover or dual independent channels, supporting 10/100/1000Base-Tor 1000Base-SX physical layer options.

The QGD-3014-16PT Desktop Guardian PoE managed switch has sixteen 30-watt Gigabit PoE ports, two Gigabit SFP/RJ45 combo ports and two 2.5GbE host management ports. With a dual-processor design including an Intel Celeron J4125 quad-core 2.0GHz processor and four 3.5-inch SATA drive bays, the QGD-3014-16PT meets requirements for high-speed transmission, storage space, and virtual machine performance in surveillance applications. Supporting VMs and QTS for versatile applications such as QVR Pro, HBS 3 and QuWAN, the QGD-3014-16PT combines surveillance deployment, video storage computing, remote backup and WAN optimization to create intelligent surveillance infrastructure and remote backup solutions.

A processor, or Central Processing Unit (CPU), is a hardware component that's often called the brains of a computer because it processes user inputs (like mouse clicks or keystrokes), performs calculations, and provides output back to the user. Processors consist of complex circuitry that take commands from operating systems and allow computers to interact with software applications. Without processors computers would be virtually useless.

Today's processors typically consist of multiple cores, which enables more efficient dual-processing capabilities. Processors vary in speed and capabilities. Businesses in the market for new computers should base their processor specifications on the type of software the machines will be running. For example, locally-installed software with robust capabilities will likely have different processor requirements than cloud-based applications accessed with a browser.

The F2837xD microcontroller family features two CLA real-time control coprocessors. The CLA is an independent 32-bit floating-point processor that runs at the same speed as the main CPU. The CLA responds to peripheral triggers and executes code concurrently with the main C28x CPU. This parallel processing capability can effectively double the computational performance of a real-time control system. By using the CLA to service time-critical functions, the main C28x CPU is free to perform other tasks, such as communications and diagnostics. The dual C28x+CLA architecture enables intelligent partitioning between various system tasks. For example, one C28x+CLA core can be used to track speed and position, while the other C28x+CLA core can be used to control torque and current loops.

The latest 3rd Gen Intel Xeon Scalable processors feature core counts from 8 to 40 cores and an array of frequency and power supports, and deliver up to 40% better performance compared to the previous generations. The 3rd Gen Intel Xeon Scalable processor is also the only data-center CPU with built-in AI acceleration to enable faster times to solution. With built-in security features, this new platform delivers outstanding performance in security including encryption, authentication and data integrity across the breadth of standards that are prevalent in networking, enterprise and the cloud.

The new ASUS series servers with 3rd Gen Intel Xeon Scalable processors help customers reduce the time to solution for a wide range of applications, add enhanced security features, and allow all workloads to be run in the cloud, on-premises or a private cloud. The RS720, RS700 and RS720Q-E10 series servers feature market-leading system flexibility and scalability in computing, storage and networking, enabling modern businesses to reduce costs and scale-up. The ESC4000-E10 series servers are optimized for AI, data science, deep learning and HPC workloads. In addition, ASUS delivers enhanced server and infrastructure security by integrating PFR FPGA as the platform Root-of-Trust solution for firmware resiliency, plus regular firmware threat detection guard against and recover from security attacks.

ASUS servers based on 3rd Gen Intel Xeon Scalable processors feature scalable storage solutions to support maximum performance for data-center flexibility, and enable industry-standard SAS/SATA/NVMe interfacing through Broadcom Tri-Mode RAID adapters for increased connectivity and security. Flexible NVMe drives on the front panel enable extensive storage and high-throughput performance, with more storage placements on middle and rear panels available for further capacity expansion.

This paper presents a vision-based control strategy for tracking a ground target using a novel vision sensor featuring a processor for each pixel element. This enables computer vision tasks to be carried out directly on the focal plane in a highly efficient manner rather than using a separate general purpose computer. The strategy enables a small, agile quadrotor Unmanned Air Vehicle (UAV) to track the target from close range using minimal computational effort and with low power consumption. To evaluate the system we target a vehicle driven by chaotic dual-pendulum trajectories. Target proximity and the large, unpredictable accelerations of the vehicle cause challenges for the UAV in keeping it within the downward facing camera's field of view (FoV). A state observer is used to smooth out predictions of the target's location and, importantly, estimate velocity. Experimental results also demonstrate that it is possible to continue to re-acquire and follow the target during short periods of loss in target visibility. The tracking algorithm exploits the parallel nature of the visual sensor, enabling high rate image processing ahead of any communication bottleneck with the UAV controller. With the vision chip carrying out the most intense visual information processing, it is computationally trivial to compute all of the controls for tracking onboard. This work is directed toward visual agile robots that are power efficient and that ferry only useful data around the information and control pathways.

N2 - This paper presents a vision-based control strategy for tracking a ground target using a novel vision sensor featuring a processor for each pixel element. This enables computer vision tasks to be carried out directly on the focal plane in a highly efficient manner rather than using a separate general purpose computer. The strategy enables a small, agile quadrotor Unmanned Air Vehicle (UAV) to track the target from close range using minimal computational effort and with low power consumption. To evaluate the system we target a vehicle driven by chaotic dual-pendulum trajectories. Target proximity and the large, unpredictable accelerations of the vehicle cause challenges for the UAV in keeping it within the downward facing camera's field of view (FoV). A state observer is used to smooth out predictions of the target's location and, importantly, estimate velocity. Experimental results also demonstrate that it is possible to continue to re-acquire and follow the target during short periods of loss in target visibility. The tracking algorithm exploits the parallel nature of the visual sensor, enabling high rate image processing ahead of any communication bottleneck with the UAV controller. With the vision chip carrying out the most intense visual information processing, it is computationally trivial to compute all of the controls for tracking onboard. This work is directed toward visual agile robots that are power efficient and that ferry only useful data around the information and control pathways. 2351a5e196