Multimodal Sensory Computing

Ma, Sijie; Liao, Fuyou; Chai, Yang

doi:10.1007/978-3-031-11506-6_9

Cited by 1 publication

(1 citation statement)

References 33 publications

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“…The development of cyber-physical systems is due not only to new technologies of data transmission, but also to the possibility of creating integrated elements that simultaneously perform the following functions: primary processing of information about a physical object or phenomenon of various natures into an electrical signal; intermediate transformation to obtain the necessary form of data representation; and computational conversions providing the formation of the output signal transmitted to the core located on the next level of cyber-physical architecture. Due to this integration, part of the computational processing is moved from the processing core closer to the sensing element, realizing the computation and analytics "next to the sensor" paradigm [2,3]. Within the "computation near the sensor" paradigm, there is a need to develop special devices that will provide computation near the sensors.…”

Section: Introductionmentioning

confidence: 99%

Symmetry in the Bit-Stream Converter Design

Bureneva,

Safyannikov,

Mironov

2023

Symmetry

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The paper presents the results of the study of the influence of symmetry in the design of bit-stream digital converters. We have shown realizations of the symmetry-based approach at different levels: at the level of basic elements, functional converters, and at the level of processes occurring in bit-streaming devices. Using symmetry in design, we have developed basic bit-stream elements that realize frequently used transformations with good technical performance. As a research result, we present descriptions and implementation results of the designed symmetric bit-stream devices in FPGA chips. Using the proposed elements and the concept of symmetric bit-stream device design, we designed and presented a specialized computing module for a temperature sensor controller.

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Section: Introductionmentioning

confidence: 99%