テクノロジーデイズ - トレーニング教材

ディスカッション

A key challenge to the deployment of Edge compute IoT is management and security of 1000s to millions of Edge compute nodes and the software that is running on them. NXP’s EdgeScale technology simplifies this by providing a cloud-based management framework leveraging the hardware security features of NXP Layerscape and i.MX processors. This instructor-led session will demonstrate how to install AWS Greengrass and Azure IoT Edge software on NXP processors using the NXP EdgeScale cloud deployment service, integrate hardware based security and deploy a simple application that collects data, processes it locally and sends updates to the cloud. This session will provide greater understanding of edge computing and cloud computing concepts and technologies.

Machine learning can performed on a wide range of device categories - from MCUs with Arm® Cortex®-M4 and M7 cores to complex SoCs with high-end A-class cores, GPUs, DSPs, and dedicated machine learning accelerators. The first step is learning how to utilize proper training techniques for model development, but beyond that how to generate optimized inference engines that can be used to perform classifications, anomaly detection, predictions, and other types of decisions. This presentation highlights some basic training techniques, such as data augmentation, but the primary focus will be on various ways to deploy neural network frameworks and classical machine learning algorithms, and most importantly, utilizing a variety of open source tools and techniques. We will show how these techniques fit in with some real use cases such as object recognition and anomaly detection.

This talk will review the driver, receiver, and common PCB characteristics and show how simulation with IBIS models are used to weigh the trade-offs for the DDR bus design. We will also review the high-speed signal channel and its characteristics and illustrate how the TX and RX circuits in general are used to offset signal losses, and discuss key characteristics of the channels that are needed to allow these TX and RX circuits to work effectively, such as minimizing return loss.

Edge computing puts cloud-computing software infrastructure on embedded-class processing platforms to reduce latency and uplink bandwidth consumption. Ranging from 1-core to 16-core devices, integrating important I/O features and integrating a hardware root of trust, the Layerscape family is ideal for edge-computing platforms. Complementary software like EdgeScale increases these platforms ease of use and accelerates customers' time to market. This session provides an overview of running Edge compute applications on Layerscape family of processors. It covers the concept of Edge computing and why it is needed, and goes on to elaborate the various use-cases where it can be used. It explains how customers can use the Layerscape SDK to run container based Edge compute applications, and leverage popular Edge Compute frameworks from AWS, Azure, Alibaba amongst others.

NXP's Essential Audio Processing (EAP) software library is available on several NXP platforms to help enhance the audio playback of your product. With support for several audio algorithms such as static equalizer, dynamic bass boost, limiter, 3D effect and more, EAP provides a great audio experience for users. To permit easy and fast enablement, NXP's EAP library is available in the MCUXpresso SDK with integrated examples, and an associated Audio Tuning Tool that enables you to easily tune and simulate EAP behavior without any hardware. Join this session for an overview of EAP and its features. Presenters: Christophe Boulant, Voice & Audio TEC Team, NXP Shelby Unger, MCU Ecosystem Product Marketer, NXP

GUI Guider is a user-friendly GUI development tool from NXP that enables the rapid development of high quality displays with the open-source LVGL graphics library, and the i.MX RT1170 MCU is a great choice for graphics applications. Learn more about the i.MX RT1170 MCU and see how LVGL and GUI Guider make it easy to design your next embedded GUI. Presenters: Shelby Unger, MCU Ecosystem Product Marketer, NXP Justin Mortimer, Director Mass Market Industrial Edge Processing, NXP

No other company has the breadth and diversity of embedded solutions for addressing the challenge of IoT security. From secure element ICs to advanced multimedia and networking microprocessors, NXP delivers the technology needed for securing the entire Lifecycle of the end or edge node. In addition, with Edgescale Cloud services software, devices can be maintained from deployment until decomissioning. Join this class for an overview of NXP's security solution.

Join this session to understand the breakthrough security features integrated in the recently launched LPC5500 MCU Family. Along with Arm® TrustZone® technology the LPC5500 SRAM PUF based key management makes security easy to use and easy to deploy. This session will start off by introducing the scope of securing a smart connected device. It will explain the need for addressing device life cycle in a scalable way that is easy to use and easy to deploy. Then it will detail the protected key management achievable when using LPC5500 with MCUXpresso Software & Tools.

The biggest challenge in embedded GUI development is managing changes in design (iterations) that nearly all projects encounter. Historically, changes at the design level resulted in teams needing to hunt for and replace all changed assets manually within the project. This would result in development delays, changes being missed, coded behavior being lost, and ultimately, poor UX. Join this session to learn how customers from medical to automotive have leveraged Storyboard’s Rapid Design Import and Iteration Technology to streamline design changes and develop embedded GUI applications that provided outstanding user experiences while getting to market on a tight deadline. Presenters: Garry Clarkson, FAE, Crank Software Shelby Unger, MCU Ecosystem Product Marketer, NXP

When choosing the NFC device for a new design, the system architect must consider many parameters. Usually a strong focus is put on hardware specific aspects and software aspects are often grossly underestimated. To avoid unpleasant surprises during software implementation phase, software has to be taken into account as well from the beginning. Different NFC IC categories (NFC Frontends, NFC Controller, Connected Tag) have different strengths, depending on the software environment. The way how highly integrated operating systems like Linux are structured brings both new challenges and advantages. This session examines the considerations necessary when designing in NFC in different operating systems or "bare metal" systems. It also discusses the advantages and disadvantages of the different device categories in dependence of the designated environment.

テクノロジーデイズ - トレーニング教材

Technology Days - Training Material

Training Sessions Material

Home

Vehicle Networking

AI and Machine Learning

AI and Machine Learning; Edge Computing

AI and Machine Learning; Voice

Connectivity (UWB, 5G, Wi-Fi 6)

Embedded Applications Software; Human Machine Interface (HMI)

Embedded Software

Human Machine Interface (HMI)

Motor Control

Security

Enabling Technologies

Voice; Human Machine Interface (HMI)

Factory Automation

Wearable; Human Machine Interface (HMI)

Home Control & Security; Development Software & Tools

Automotive

Edge Intelligence

Industrial

IoT Smart Home

Hardware & Software Solutions

Automotive

Edge Intelligence

Industrial

Mobile, Wearable & Computing

IoT Smart Home

Hardware & Software Solutions

Automotive

IoT Smart City

Edge Intelligence

Industrial

Mobile, Wearable & Computing

IoT Smart Home

Hardware & Software Solutions

Station F

Singapore

Automotive

Edge Intelligence

IoT Smart Home

Mobile, Wearable & Computing

Industrial

Hardware & Software Solutions

Automotive

Communication Infrastructure

Edge Intelligence

Industrial

IoT Smart Home

Hardware & Software Solutions

Mobile, Wearable & Computing

Automotive

Edge Intelligence

Hardware & Software Solutions

Industrial

IoT Smart City

IoT Smart Home

Automotive

Automotive

Hardware and Software Solutions

Industrial

IoT Smart Home

Mobile, Wearable, and Computing

Automotive

Edge Intelligence

Hardware & Software Solutions

Industrial

IoT Smart City

IoT Smart Home

Mobile, Wearable & Computing

Automotive

Artificial Intelligence, Enabling Technologies, Security & Solutions

Smart Machinery & Industrial Automation

Smarter World Solutions & Multimode Connectivity

Artificial Intelligence, Enabling Technologies, Security & Solutions

Smart Machinery & Industrial Automation

Smarter World Solutions & Multimode Connectivity

Automotive

Artificial Intelligence, Enabling Technologies, Security & Solutions