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Your search keyword '"INTELLIGENT sensors"' showing total 3 results
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3 results on '"INTELLIGENT sensors"'

1. Machine Learning Sensors: A design paradigm for the future of intelligent sensors.

Author

Warden, Pete, Stewart, Matthew, Plancher, Brian, Katti, Sachin, and Reddi, Vijay Janapa

Subjects
*MACHINE learning, *INTELLIGENT sensors, *CLOUD computing, *DATA privacy, *CLOUD storage
Abstract

In the last decade, there has been a significant increase in the use of machine learning (ML) for commercial purposes. At the same time, advancements in wireless communications have led to the widespread adoption of cloud-connected devices, such as Internet of Things "smart devices." These devices, while appearing intelligent, mostly rely on centralized cloud infrastructure, raising concerns about data storage, usage, and access. This has led to the need for enhanced transparency and the implementation of rules or systems to safeguard user privacy and apprise users about the data their devices are gathering. As a solution, the authors present the concept of the ML sensor, which offers a structured framework for creating embedded systems equipped with machine learning features with a strong emphasis on privacy. By limiting the data interface, the ML sensor approach guarantees that user data cannot be accessed beyond the sensor's intended purpose.

Published
2023
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2. Sensing within Smart Buildings: A Survey.

Author

ALSAFERY, WAEL, RANA, OMER, and PERERA, CHARITH

Subjects
*INTELLIGENT sensors, *INTELLIGENT buildings, *INTERNET of things, *APPLICATION software, *ENERGY management, *DATA analysis
Abstract

Increasingly, buildings are being fitted with sensors for the needs of different sectors, such as education, industry and business. Using Internet of Things devices combined with analysis of data being generated by these devices, it is possible to infer a number of metrics, e.g., building occupancy and activities of occupants. The information thus gathered can be used to develop software applications to support energy management, occupant comfort, and space utilization. This survey explores the use of sensors in smart building environments, identifying different approaches to employ sensors in buildings. The most commonly used data-driven approaches for activity recognition in such buildings is also investigated, concluding by highlighting current research challenges and future research directions in this area. [ABSTRACT FROM AUTHOR]

Published
2023
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3. A Comprehensive Survey on Imputation of Missing Data in Internet of Things.

Author

ADHIKARI, DEEPAK, WEI JIANG, JINYU ZHAN, ZHIYUAN HE, RAWAT, DANDA B., AICKELIN, UWE, and KHORSHIDI, HADI A.

Subjects
*MISSING data (Statistics), *INTERNET of things, *TELECOMMUNICATION, *INTELLIGENT sensors, *COMPUTING platforms, *INTERNET protocols
Abstract

The Internet of Things (IoT) is enabled by the latest developments in smart sensors, communication technologies, and Internet protocols with broad applications. Collecting data from IoT and generating information from these data become tedious tasks in real-life applications when missing data are encountered in datasets. It is of critical importance to deal with the missing data timely for intelligent decision-making. Hence, this survey attempts to provide a structured and comprehensive overview of the research on the imputation of incomplete data in IoT. The article starts by providing an overview of incomplete data based on the architecture of IoT. Then, it discusses the various strategies to handle the missing data, the assumptions used, the computing platform, and the issues related to them. The article also explores the application of imputation in the area of IoT. We encourage researchers and data analysts to use known imputation techniques and discuss various issues and challenges. Finally, potential future directions regarding the method are suggested. We believe this survey will provide a better understanding of the research of incomplete data and serve as a guide for future research. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
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