Articles

  • GE Puts Control Systems Closer to the Industrial Edge

    GE’s Intelligent Platforms group recently unveiled two new control solutions, the CPL410, an outcome-optimizing open controller, and a remote-monitoring service platform, the Equipment Insight 2018.

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  • AUTOSAR C++14, CERT C Double Down on Automotive Safety and Security

    Although most safety-critical automotive software is still coded in the C language, the growing number and complexity of systems addressed by the AUTOSAR Adaptive Platform demand a transition to C++.

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  • The End of Embedded Engineering as We Know It

    It is becoming more and more difficult to acquire good technical talent, not just in the U.S., but in traditional engineering hotspots such as the Far East and Eastern Europe as well.

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  • Maxim’s Wearable Platform Monitors ECG, Heart Rate, and Temperature

    Maxim’s Health Sensor Platform 2.0 allows the monitoring of various health parameters, including heart rate and body temperature.

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  • Neural Network Optimization with Sparse Computing and Facebook Glow

    There are 27 different types of neural networks. The number of neural network types has increased as engineers and data scientists seek out optimized implementations of AI for use cases.

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  • PC/104 adds processing power, dense I/O for the Industrial IoT revolution

    PC/104 now supports more powerful CPUs, high-resolution graphics capabilities, wired and wireless connectivity, and rich I/O peripherals, readying the stackable architecture for a range of IIoT apps.

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  • Eliminating buffer overflow vulnerabilities on the IoT

    Buffer overflows have been the most commonly exploited vulnerability in network-borne attacks over the last 30 years. This isn’t surprising given how buffers are created.

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  • Fast Localization of Errors in Complex Automotive Software Development Projects

    Current trends in the car industry mean that developing software projects has become an increasingly complex task. Software teams and project managers require specialized error search and process opti

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  • Don’t Let the IoT Botnets Disrupt Your Embedded System

    The proliferation of the IoT and its seemingly unlimited connected devices provides a virtual playground for attackers. Make sure your system is locked down.

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  • Momentum is building for LoRaWAN

    Momentum is building for LoRaWAN

    The LoRa Alliance member meeting in Vancouver showed that the technology has gained a lot of momentum over the past two years. Google Cloud joined just prior to the event and delivered keynote.

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  • Chances and challenges for machine learning in highly automated driving, part 3: Algorithm selection criteria for functional safety

    Chances and challenges for machine learning in highly automated driving, part 3: Algorithm selection criteria for functional safety

    Criteria for selecting the right machine learning algorithm for functional safety are necessary. These criteria are described below.

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  • How to choose cool running, high power, scalable POL regulators and save board space

    How to choose cool running, high power, scalable POL regulators and save board space

    IC designers often avoid dealing with the dreaded topic of heat — a job that usually falls to the package engineer.

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  •  IoT-based smart and secure home automation

    IoT-based smart and secure home automation

    Existing smart home automation systems are uniquely designed to suit specific consumers home environments and requirements.

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  • Advanced Bluetooth Angle Estimation Techniques Enhance Real-Time Locationing

    Bluetooth Angle of Arrival and Departure are the latest techniques for real-time tracking of people, mobile devices, and other assets.

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  • Chances and challenges for machine learning in highly automated driving, part 2: Theoretical background

    Chances and challenges for machine learning in highly automated driving, part 2: Theoretical background

    Part two defines the theoretical background of machine learning technology, as well as the types of neural networks available to automotive developers.

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  • From logistics regression to self-driving cars: Chances and challenges for machine learning in highly automated driving

    From logistics regression to self-driving cars: Chances and challenges for machine learning in highly automated driving

    In part one of this three-part series, the authors investigate the drivers behind and potential applications of machine learning technology in highly automated driving scenarios.

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  • How fog computing disrupts the cloud services market

    For business, one unresolved challenge remains important: providing scalability for cloud technology.

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  • Why closed-loop sensing provides the best white color-tuning performance in LED lights at the lowest cost

    Why closed-loop sensing provides the best white color-tuning performance in LED lights at the lowest cost

    With the rapid decline in the dollar-per-kilolumen price of LEDs, the economics of LED lighting have turned decisively in favor of white color tuning in commercial and high-end residential lighting.

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  • Monetizing blockchain-based M2M service

    Monetizing blockchain-based M2M service

    Today, several publications and other media outlets writing about how to apply blockchain in fog computing mostly focus on the features directly brought by blockchain.

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  • Automotive open source virtualization: Bringing open source virtualization in AGL

    Automotive open source virtualization: Bringing open source virtualization in AGL

    The AGL Software Defined Car Architecture white paper defines how the AGL target platform for software defined vehicles can be implemented by using virtualization techniques.

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