ON-state retention of Atom Switch eNVM for IoT/AI Inference Solution

Okamoto, K.; Nebashi, R.; Banno, Naoki; Bai, Xu; Numata, Hideaki; Iguchi, N.; Miyamura, Miharu; Hada, H.; Funahashi, Kazunori; Sugibayashi, Toshio; Sakamoto, Toshitsugu; Tada, Munehiro

doi:10.1109/irps45951.2020.9128967

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…They refer to practical problems that scientific and research studies tend to solve. [24,113,116] Table 4 provides an exhaustive list of articles per domain of application. And, Fig.…”

Section: Application Domainsmentioning

confidence: 99%

Combining Multiagent Systems with IoT forSmarter Buildings and Cities: a literature review

Luzolo

Galland

Elrawashdeh

et al. 2023

Preprint

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The Internet of Things (IoT) and Artificial Intelligence (AI) are two technologiesthat have long been applied to the development of smart systems. These systemscover various areas, such as smart cities, energy management, autonomous cars,etc. Intelligence, autonomy, and real-time monitoring are the fundamental ele-ments that characterize these application areas. The convergence of multi-agentsystems (MAS), IoT, and AI has opened up new possibilities for creating smarterbuildings and cities. This integration leverages the power of MAS to enable intelli-gent communication and collaboration among various entities, while IoT providesa vast network of interconnected sensors and devices that collect and transmitreal-time data. On the other hand, AI algorithms process and analyze this data toderive valuable insights and make informed decisions. Multi-agent systems tech-nology is one of the most used for the implementation of such intelligent systems.This article aims to focus on multi-agent systems, although it also covers otherrelated topics by carrying out a Systematic Literature Review (SLR) on relevantresearch works in the previous ten years. Eleven research questions are consideredat the beginning of the review, including typical research topics and applicationdomains. From the SLR results the research directions are: (i) Development ofa methodology that shows how to integrate the different applications indepen-dent of the scenarios that are deployed in. Additionally, elaboration of the toolsused in the integration process; (ii) Deployment of an agent in a microprocessor; (iii) How to implement and connect Multi-agent systems (MAS) technology andInternet of Things (IoT) devices (processors, controllers, sensors, and actuators).

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“…They refer to practical problems that scientific and research studies tend to solve. [24,113,116] Table 4 provides an exhaustive list of articles per domain of application. And, Fig.…”

Section: Application Domainsmentioning

confidence: 99%