コネクト - トレーニング教材

キャンセル
次の結果を表示 
表示  限定  | 次の代わりに検索 
もしかして: 

Connects - Training Material

Training Sessions Material



Home

Home is where the heart is..

Automotive

Silicon Valley 2019 - Automotive Presentation Files

Communication Infrastructure

Edge Intelligence

Industrial

Mobile, Wearable & Computing

IoT Smart Home

Hardware & Software Solutions

Silicon Valley 2019 - Industrial & IoT, Mobile, & Communication Infrastructure Presentation Files

Automotive

Artificial Intelligence, Enabling Technologies, Security & Solutions

Smart Machinery & Industrial Automation

Smart Networks & Computing

Smarter World Solutions & Multimode Connectivity

Emerging Trends & Innovation

Automotive

Artificial Intelligence, Enabling Technologies, Security & Solutions

Smart Machinery & Industrial Automation

Multimedia Experience

Smart Networks & Computing

Smarter World Solutions & Multimode Connectivity

Emerging Trends & Innovation

Secure Connected & Automated Vehicles

Smart Buildings & Consumer Goods

Secure Mobile, Healthcare & Wearables

Smart Machinery & Industrial Automation

Enabling Design, Technologies & Solutions

Smart Networks & Computing

Secure Connected & Automated Vehicles

Secure Connected & Automated Vehicles

ディスカッション

ソート順:
The session will provide an overview of the AUTOSAR software for NXP Ethernet products. It will describe the software products, starting from the AUTOSAR standard requirements, but also the extensions implemented to leverage the hardware capabilities of our products. It will also point out the advantages of using the AUTOSAR Switch and Transceiver drivers, from integration with NXP or 3rd party microcontrollers to application use-case diversity and leveraging the software ecosystem and quality requirements set by the automotive industry standards.
記事全体を表示
You thought i.MX 6 was challenging? Welcome to the world of designing with the i.MX 8! This class will discuss the advantages, features, and guidelines of moving up to the next level of i.MX processors from the hardware perspective.
記事全体を表示
A hands-on session to show how to prepare and program device for CSEc security operations. Session also covers both bare metal and SDK approach to program CSEc module. The NVM part will cover the enablement/configuration of the different types of memory and tools that NXP provides for calculating the endurance.
記事全体を表示
This presentation will explore key Time-Sensitive Networking (TSN) standards and how they relate to Automotive requirements. An overview of the relevant IEEE®  802.1 TSN standards will be given with examples of how these can be applied and used in the automotive environment. By the end of this session, the attendee will understand and be able to select the features they need based on their network use cases.
記事全体を表示
Introduction of new part, tailored for long daisy chains in HV systems and ESS. BOM cost optimizations with new revC, including capacitive coupling. Introduction of new BMC and CMC reference designs, showing new levels of cost, size and performance optimization.
記事全体を表示
In electronic systems, it is typical to have a central processing unit that interfaces with other peripheral devices, other sub-systems or the user. Often, the signals from these interconnects may be incompatible on both ends. Therefore, various semiconductor devices such as analog switches, voltage level translators and GPIO expanders are often used to bridge between the interconnects on the board. In this session, we will explore the application of these interface devices from NXP and discuss their applications in various customer systems.
記事全体を表示
Join this session to learn how NXP security technology should be leveraged to secure the onboarding credentials using the LPC54S0xx MCU with state of the art security technology.
記事全体を表示
Autonomous vehicles are able to drive themselves without human supervision or input. Vehicles can also operate semi-autonomously - taking some control of aspects of driving, whilst a human driver retains control of others. In order to do this, the vehicle must be able to perceive its environment and make decisions about where it is safe and desirable to move, and do so. This session will go through various aspects of the algorithms for sensor fusion to build perception, map building and path planning with particular reference to the Blue Box development platform.  
記事全体を表示
Product training of MC33771x ICs for HV BMS. 1- Short BMS market introduction (incl. key players, requirements, competitors); 2- Introduction to NXP BMS roadmap and key products (BCC14, BCC6 & TPL); 3-Key BMS applications (14V, 48V, HV Daisy Chain, HV CAN, Wireless) including differentiation and value proposition; 4- Market, application, reference design and product outlook; 5- Functional safety aspects - system safety goal and how to implement functional safety.
記事全体を表示
Design, Software & Services DES-N1954 Hands-On Workshop ARM mbed OS the Open Source IoT Operating System  DES-N2084 & DES-N1956 Hands-On Workshop: FreeRTOS Solutions for Kinetis MCUs  DES-N1973 Hands-On Workshop Master Development on the LPCXpresso Toolchain with Our LPCOpen Development Kit  Hands-On Workshop: Securing the IoT One Edge Node at a Time with Kinetis VIDEO PRESENTATION: FTF-DES-N1931 - i.MX 6QuadPlus and i.MX 6DualPlus Applications Processors-Performance-Tier Multicores for Visually Stunning Graphics-Centric Applications  DES-N1936 i.MX 6UltraLite DDR Tools Overview and Hardware Design Considerations  DES-N1940 i.MX 8 Graphics Architecture  DES-N1957 Kinetis Enablement Industry's Most Comprehensive Software Tool Portfolio  DES-N1967 Leveraging NXP LPC Microcontrollers to Maximize Energy Efficiency in Always-On Applications  AMF-DES-T2001 - Power Distribution Made Easy  DES-N1939 Teaching Things to See: Introduction to i.MX 8 Vision Architecture  Insight & Innovation INS-N1981 Wireless MCU Overview  Secure Connected & Automated Vehicles AUT-N1775 - Enabling Hybrid CAN Networks CAN FD Shield  AUT-N1793 Hands-On Workshop S32 Design Studio and SDK  AUT-N1797 MagniV Integrated Solutions for Motor Control  VIDEO PRESENTATION: FTF-AUT-N1794 - S32K Scalable Next-Generation MCU Family with Advanced Features  Secure Mobile, Healthcare & Wearables  MHW-N1921 Digital High Efficiency AC/DC Resonant Supplies  MHW-N1990 Enabling Ultimate Miniaturization and Customization with the Latest Single Chip System Module Technology  MHW-N1988 Hands-on Workshop- Designing with NXP Bluetooth Smart Solution for Wearables and IoT Applications  FTF-MHW-N1987 NXP Wearables & Fitness Platform and Solutions Roadmap  Smart Networks NET-N1865 Introduction to QorIQ LS1012A - the Worlds Smallest and Lowest Power 64-bit Processor  NET-N1868 Market Drivers and Time Sensitive Networks  https://community.nxp.com/docs/DOC-331664  NET-N1863 What's Next for QorIQ - Portfolio and Roadmap
記事全体を表示
NXP offers a wide range of powerful microprocessors for the automotive and industrial markets. The memory selection of these systems can impact the performance, size, cost, power, reliability and longevity of your design. During this session we will discuss the new memories supported on the latest i.MX 8 Quad Max processor which is focused on automotive and industrial markets. For DRAM, this will include LPDDR4. For non-volatile memory, this will include Micron’s recently announced XccelaTM Octal SPI-NOR Flash and our newer e.MMC devices. These devices provide higher performance and are offered with automotive temperature and quality ratings. This session will provide designers with the information necessary to develop i.MX 8 systems for state-of-the-art automotive solutions.
記事全体を表示
In recent years, automotive cybersecurity has become a top priority for OEMs as several well publicized attacks on production vehicles stirred up public and government concern over both security and safety of connected vehicle systems. In this talk we will: Review major milestones and headlines related to automotive cybersecurity for 2016; Compare and contrast security techniques used in traditional IT infrastructure versus automotive computing systems; Examine where these traditional techniques fall short for automotive applications.
記事全体を表示
Hands-on starting with the i.MX 8M Mini EVK, we will cover the out-of-the-box enablement including software, tools, hardware design guides, and demonstration software. Attendees should leave this class with the confidence to start their own design using the i.MX 8M Mini.
記事全体を表示
Part 1: Artificial Intelligence with CNN and DNN. Part 2: Implementing Squeeze Net Simple CNN on S32V234. Lecture showing and analyzing SqueezeNet CNN classifier demo on S32V234. Lecture will overview the demo, development flow used to create demo and tools available to recreate similar networks.
記事全体を表示
Learn how to move from physical to virtual network functions (VNFs) on ARM QorIQ platforms using KVM virtual machines and Docker containers with native DPAA2 and virtual virtio devices. Leverage packet processing, crypto acceleration and advanced offloads from DPDK/ODP and Linux native guest applications. Connect VNFs through virtual switching either using optimized user space implementations or offloading datapath into DPAA2 Advanced IO Processor. Make use of the switching functions provided by DPAA2 integrated Edge Virtual Bridge and L2 Switch. Leverage OPNFV integration and take advantage of distributed VNFs via Service Function Chaining.
記事全体を表示
Artificial intelligence and machine learning (AI/ML) are revolutionizing the industrial world. For maximal impact, AI/ML must be done close to where data is generated and the output of analysis used. It's an ideal workload for edge computing and complements NXP’s EdgeScale cloud-based device-management platform. Layerscape processors are well suited to hosting AI/ML workloads. Software from NXP and third parties helps enable developers to create industrial applications using AI/ML technology. These applications can be distributed, Layerscape-based edge nodes with endpoints performing multiple tasks including: addressing condition monitoring or first-level classification; running popular edge frameworks to deliver cloud-like services on premises, aggregating data from multiple endpoints or performing additional analysis; running cloud-based software analyzing data for long-term trends.
記事全体を表示