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March 1, 2016
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SoCtronics is a customer-focused VLSI design services company with offices in Hyderabad-India and Santa Clara-California...
whitePaper | July 6, 2022
The Intel, Microsoft and Tech Data strategic alliance is a compelling solution to keep this digital transformation moving forward. Key Stats. The remote asset The Intel, Microsoft and Tech Data strategic alliance is a compelling solution to keep this digital transformation moving forward.
whitePaper | May 23, 2021
The vast amounts of data constantly collected by the billions of sensors and devices that make up the Internet of Things (IoT) can pose a serious processing challenge for businesses that rely on traditional intelligence and analytics tools. An emerging solution is to use Artificial Intelligence (AI) and machine learning to build intelligent systems that automatically gather, process, and extract actionable insights from IoT data - in real time without the need for human intervention. How are AI-enabled systems transforming IoT devices and applications at the edge, and what are some of the emerging use cases we can expect to see in the near future?
whitePaper | June 20, 2022
The industrial Internet of Things (IIoT) refers to the use of internet-connected sensors and devices in the industrial sectors, such as manufacturing, energy, automotive, healthcare, life sciences, and agriculture. IIoT allows telemetry data collection from equipment, machines, and field devices in an operational environment. These environments are commonly subject to industrial regulations; compute, networking, and power constraints; and inclement conditions, and all of these challenges contribute to the complexity of designing an IIoT solution.
whitePaper | January 2, 2020
The brief report provides a positioning of developments in the area referred to as Industrial Internet of Things (IIoT) – loosely interpreting this as the industrial developments associated with the Internet of Things (IoT). IoT in turn describes the extension of the application of internet communications beyond computers and networked devices to also include the networking of everyday objects. In the context of industrial operations these objects are typically equipment, products and raw materials.
whitePaper | March 1, 2020
Private mobile networks designed and deployed specifically for enterprise users provide opportunities to optimize and redefine business processes in ways that are either impractical or not possible within the limitations of wired and Wi-Fi networks. For industrial users, the ability to design mobile networks to meet the coverage, performance, and security requirements of production-critical applications is fundamental to the new wave of cyberphysical systems known as Industry 4.0.
whitePaper | August 16, 2022
During routine analysis of detection performance, we noticed a batch of processes that respected the same pattern in the process names. These names begin with sys, win or lib followed by a word that describes the functionality, such as bus, crt, temp, cache, init, and end in 32.exe. We later noticed that the .bat files and the downloaded payloads respect the same naming convention. Further investigation revealed the components are part of a monitoring application called SecondEye, developed in Iran and distributed legitimately via the developer’s website. We also found that some spyware components were already described in an article published by Blackpoint [1]. In the article, researchers drew attention to the dangers of legally distributed monitoring software with malicious behavior
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