Agents of Things (AOT): Utilizing JADE Agent Technology as Communication Middleware for Vehicle Monitoring System

Eddy, Mohd Khidhir; Ahmad, Azhana; Tang, Alicia Y. C.

doi:10.14257/ijfgcn.2018.11.1.05

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…Beyond transportation, IoT finds applications in manufacturing, smart homes, smart cities, oil & gas, healthcare, and energy management at the enterprise level [22]. However, simply collecting data is not enough; the true value lies in its analysis [23].…”

Section: Literature Reviewmentioning

confidence: 99%

Clarity of Knowledge Gap Between IoT and AoT - Professionals’ Perspectives

2023

IJFMR

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In this era, we have the basic idea of “Internet of Things”. We know that IoT refers to the vast network of interconnected physical devices or "things" that are embedded with sensors, softwares, and other technologies to collect and exchange data over the internet. These "things" can be anything from household appliances and industrial machines to wearable devices and vehicles. But what will be the outcome if the word “Analytics” added in the place of the word “Internet” and will be attached with the word “things” and will be termed as “Analytics of Things”? Will it be as similar as Internet of Things or it will be completely different from Internet of Things? Shall there be any other functionalities related to “things” associated with the word “Analytics”? Will it require Internet? This research paper will answer all the questions.

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Section: Literature Reviewmentioning

confidence: 99%

Clarity of Knowledge Gap Between IoT and AoT - Professionals’ Perspectives

2023

IJFMR

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“…The communication and the interactions between agents is principally done through the exchange of messages [35] each message is labeled with an act of communication such as: request, inform, notify, propose, etc. The Fig.…”

Section: Experimentation and Testsmentioning

confidence: 99%

A Machine Learning and Multi-Agent Model to Automate Big Data Analytics in Smart Cities

SASSITE¹,

ADDOU²,

BARRAMOU³

2022

IJACSA

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The objective of this paper is to present an architecture to improve the process of automating big data analytics using a multi-agent system and machine learning techniques, to support the processing of real time big data streams and to enhance the process of decision-making for urban planning and management. With the rapidly evolving information technologies, and their utilization in many areas such as smart cities, social networks, urban management and planning, massive data streams are generated and need an efficient approach to deal with. The proposition in this paper adopts the concept of smart data which focuses on the value aspect from big data. The proposed architecture is composed of three layers: data acquisition and storage, data management and processing and the service layer, based on a multi-agent system to automate the big data analytics; the proposed model describe the functionalities of the system and the collaboration between agents, these autonomous entities receive data streams in real time, they perform operations of preprocessing, big data analytics and storage into a Hadoop cluster. The techniques of machine learning are also used to enhance the process of decision making, such the use of classification algorithms to predict habitat type based on the characteristics of a population to help making efficient urban planning decisions. The proposed system can serve as a platform to support data management and to conduct effective decision-making in smart cities.

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Analysis Winding Deformation of Power Transformer Detection Using Sweep Frequency Impedance Technology

Wang

et al. 2019

Advances in Intelligent Systems and Computing

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Agents of Things (AOT): Utilizing JADE Agent Technology as Communication Middleware for Vehicle Monitoring System

Abstract: The Internet of Things (IoT)

Cited by 4 publications

References 5 publications

Clarity of Knowledge Gap Between IoT and AoT - Professionals’ Perspectives

Clarity of Knowledge Gap Between IoT and AoT - Professionals’ Perspectives

A Machine Learning and Multi-Agent Model to Automate Big Data Analytics in Smart Cities

Analysis Winding Deformation of Power Transformer Detection Using Sweep Frequency Impedance Technology

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