Topic Review
HPE BladeSystem
BladeSystem is a line of blade server machines from Hewlett Packard Enterprise (Formerly Hewlett-Packard) that was introduced in June 2006. The BladeSystem forms part of the HPE Converged Systems platform, which use a common converged infrastructure architecture for server, storage, and networking products. Designed for enterprise installations of 100 to more than 1,000 Virtual machines, the HP ConvergedSystem 700 is configured with BladeSystem servers. When managing a software-defined data center, a System administrator can perform automated lifecycle management for BladeSystems using HPE OneView for converged infrastructure management. The BladeSystem allows users to build a high density system, up to 128 servers in each rack.
  • 8
  • 28 Sep 2022
Topic Review
Hardware Heritage
Hardware heritage is the history of both hardware and software. Human knowledge, experience, and skills are translated into computation models (binary code) in software and computer environment (‘digital ecosystem’). The history of software is a history of how different communities of practitioners ‘put their world into a computer’.
  • 250
  • 23 Sep 2021
Topic Review
GIS and IoT Integration
Internet-of-Things (IoT) concentrates on enabling communication between Things. It is a broadband network that uses standard communication protocols. Geospatial Information System (GIS) is a powerful set of tools that deal with capturing geospatial data, managing that data in a database, analyzing and pattern recognition, and finally visualizing information. IoT, as an emerging technology along with GIS, can result in advanced and user-friendly features in Smart Cities.
  • 397
  • 17 Nov 2021
Topic Review
Gate-Level Static Approximate Adders
This work compares and analyzes static approximate adders which are suitable for FPGA and ASIC type implementations. We consider many static approximate adders and evaluate their performance with respect to a digital image processing application using standard figures of merit such as peak signal to noise ratio and structural similarity index metric. We provide the error metrics of approximate adders, and the design metrics of accurate and approximate adders corresponding to FPGA and ASIC type implementations. For the FPGA implementation, we considered a Xilinx Artix-7 FPGA, and for an ASIC type implementation, we considered a 32-28 nm CMOS standard digital cell library. While the inferences from this work could serve as a useful reference to determine an optimum static approximate adder for a practical application, in particular, we found approximate adders HOAANED, HERLOA and M-HERLOA to be preferable.
  • 124
  • 14 Dec 2021
Topic Review
FPGA in Decimal Arithmetic
Decimal operations are executed with slow software-based decimal arithmetic functions. For the fast execution of decimal operations, dedicated hardware units have been proposed and designed in FPGA. Decimal addition and multiplication is found in most decimal-based applications and so its design is very important for fast execution. This entry describes recent solutions for decimal multiplication and addition in FPGA.
  • 320
  • 16 Jul 2021
Topic Review
Fog and IoT Driven Healthcare
Technological advancements have made it possible to monitor, diagnose, and treat patients remotely. The vital signs of patients can now be collected with the help of Internet of Things (IoT)-based wearable sensor devices and then uploaded on to a fog server for processing and access by physicians for recommending prescriptions and treating patients through the Internet of Medical Things (IoMT) devices. 
  • 89
  • 07 Sep 2022
Topic Review
Embedded Machine Learning
Embedded machine learning (EML) can be applied in the areas of accurate computer vision schemes, reliable speech recognition, innovative healthcare, robotics, and more. However, there exists a critical drawback in the efficient implementation of ML algorithms targeting embedded applications. Machine learning algorithms are generally computationally and memory intensive, making them unsuitable for resource-constrained environments such as embedded and mobile devices. In order to efficiently implement these compute and memory-intensive algorithms within the embedded and mobile computing space, innovative optimization techniques are required at the algorithm and hardware levels. 
  • 228
  • 01 Nov 2021
Topic Review
Embedded Brain Computer Interface
We attempt to summarize the last two decades of embedded Brain-Computer Interface mostly because of the electroencephalography influence on these systems. Numerous noninvasive EBCIs have been developed, described, and tested. Noninvasive nature of the EEG-based BCIs made them the most popular BCI systems.
  • 173
  • 15 Jul 2021
Topic Review
Digital Twin Applications
Industrial Digital Twin (IDT) systems integrate physical and virtual data throughout a product life cycle.
  • 115
  • 05 May 2022
Dharma Prakash Agrawal
Professor Dharma P. Agrawal, our beloved friend, mentor, and Editor-in-Chief of Journal of Sensor and Actuator Networks, passed away on 15 February 2021. Professor Agrawal was a renowned computer scientist who specialized in Wireless Networks and Communications and Computer Architecture. Since 1998, he had been the Ohio Board of Regents Distinguished Professor of Electrical Engineering and Compu
  • 37
  • 01 Sep 2022
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