2,664 research outputs found

    Over speed detection using Artificial Intelligence

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    Over speeding is one of the most common traffic violations. Around 41 million people are issued speeding tickets each year in USA i.e one every second. Existing approaches to detect over- speeding are not scalable and require manual efforts. In this project, by the use of computer vision and artificial intelligence, I have tried to detect over speeding and report the violation to the law enforcement officer. It was observed that when predictions are done using YoloV3, we get the best results

    Wireless communication, identification and sensing technologies enabling integrated logistics: a study in the harbor environment

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    In the last decade, integrated logistics has become an important challenge in the development of wireless communication, identification and sensing technology, due to the growing complexity of logistics processes and the increasing demand for adapting systems to new requirements. The advancement of wireless technology provides a wide range of options for the maritime container terminals. Electronic devices employed in container terminals reduce the manual effort, facilitating timely information flow and enhancing control and quality of service and decision made. In this paper, we examine the technology that can be used to support integration in harbor's logistics. In the literature, most systems have been developed to address specific needs of particular harbors, but a systematic study is missing. The purpose is to provide an overview to the reader about which technology of integrated logistics can be implemented and what remains to be addressed in the future

    Evolution of iot: An industry PErsPEctivE

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    (c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.[EN] Mobile ad hoc networks have evolved since the early 1990s: over two decades. However, the unique concept of wireless deviceto-device networking has now ballooned into a major technology and industry revolution with applications impacting many facets of our lives. In fact, it has paved the way for the Internet of Things and smart cities. In this article, the evolution of IoT through mobile ad hoc networks is discussed, and its penetration into defense, society, and industries through ZigBee, Z-Wave, and other technologies is revealed. Finally, a discussion is presented of IoT architecture, connectivity, cloud, and analytics, and its implications on the realization of future smart citiesCano, J.; Berrios, V.; Garcia, B.; Toh, C. (2018). Evolution of iot: An industry PErsPEctivE. IEEE Internet of Things Magazine. 1(2):2-7. https://doi.org/10.1109/IOTM.2019.1900002S271

    System for acquisition, processing and presentation of energy consumption

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    Tese de mestrado integrado. Engenharia Electrotécnica e de Computadores (Major Telecomunicações). Faculdade de Engenharia. Universidade do Porto. 200

    Enabling Hardware Green Internet of Things: A review of Substantial Issues

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    Between now and the near future, the Internet of Things (IoT) will redesign the socio-ecological morphology of the human terrain. The IoT ecosystem deploys diverse sensor platforms connecting millions of heterogeneous objects through the Internet. Irrespective of sensor functionality, most sensors are low energy consumption devices and are designed to transmit sporadically or continuously. However, when we consider the millions of connected sensors powering various user applications, their energy efficiency (EE) becomes a critical issue. Therefore, the importance of EE in IoT technology, as well as the development of EE solutions for sustainable IoT technology, cannot be overemphasised. Propelled by this need, EE proposals are expected to address the EE issues in the IoT context. Consequently, many developments continue to emerge, and the need to highlight them to provide clear insights to researchers on eco-sustainable and green IoT technologies becomes a crucial task. To pursue a clear vision of green IoT, this study aims to present the current state-of-the art insights into energy saving practices and strategies on green IoT. The major contribution of this study includes reviews and discussions of substantial issues in the enabling of hardware green IoT, such as green machine to machine, green wireless sensor networks, green radio frequency identification, green microcontroller units, integrated circuits and processors. This review will contribute significantly towards the future implementation of green and eco-sustainable IoT

    Apparel 4.0: A Review of the Apparel Industry’s Adoption of Frontier Technologies

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    The Textile & Apparel (T&A) industry has been recognized for its modest shifts. This review paper, however, has examined the state of the apparel industry’s technology adoption, with special reference to 4IR technologies and fast-evolving market preferences in the post-pandemic era. Based on an extensive literature survey, the study concludes that the fourth industrial revolution (4IR) technologies have started gaining ground and disrupting the global apparel value chain. Likewise, Covid-19 too has brought considerable disruptions, driving organizational changes faster than ever. On one hand, Covid-19 has caused a significant adverse impact on the apparel industry, impacting brands, producers, and workers across the world. On the other hand, it has accelerated the adoption of frontier technologies by the industry. The Fourth Industrial Revolution (4IR) is transforming the apparel sector in design, development, production, supply chain, and marketing value segments. Besides process automation, frontier 4IR technologies such as 3D knitting and printing, robotics and intelligent manufacturing, virtual and augmented reality, artificial intelligence, business analytics, IoT, etc., have started shaping the future of the T&A industry. The paper should be of interest to both market actors (e.g., producers and marketers) and market facilitators (e.g., policymakers and academia). Keywords:Textile & Apparel (T&A) industry, Fourth Industrial Revolution (4IR), COVID-19, frontier technologies, fashion cycle, automation, biotechnology, apparel 4.0 DOI: 10.7176/EJBM/14-22-04 Publication date: November 30th 2022

    Scenarios for the development of smart grids in the UK: literature review

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    Smart grids are expected to play a central role in any transition to a low-carbon energy future, and much research is currently underway on practically every area of smart grids. However, it is evident that even basic aspects such as theoretical and operational definitions, are yet to be agreed upon and be clearly defined. Some aspects (efficient management of supply, including intermittent supply, two-way communication between the producer and user of electricity, use of IT technology to respond to and manage demand, and ensuring safe and secure electricity distribution) are more commonly accepted than others (such as smart meters) in defining what comprises a smart grid. It is clear that smart grid developments enjoy political and financial support both at UK and EU levels, and from the majority of related industries. The reasons for this vary and include the hope that smart grids will facilitate the achievement of carbon reduction targets, create new employment opportunities, and reduce costs relevant to energy generation (fewer power stations) and distribution (fewer losses and better stability). However, smart grid development depends on additional factors, beyond the energy industry. These relate to issues of public acceptability of relevant technologies and associated risks (e.g. data safety, privacy, cyber security), pricing, competition, and regulation; implying the involvement of a wide range of players such as the industry, regulators and consumers. The above constitute a complex set of variables and actors, and interactions between them. In order to best explore ways of possible deployment of smart grids, the use of scenarios is most adequate, as they can incorporate several parameters and variables into a coherent storyline. Scenarios have been previously used in the context of smart grids, but have traditionally focused on factors such as economic growth or policy evolution. Important additional socio-technical aspects of smart grids emerge from the literature review in this report and therefore need to be incorporated in our scenarios. These can be grouped into four (interlinked) main categories: supply side aspects, demand side aspects, policy and regulation, and technical aspects.

    The Economic Impacts of the Regional Greenhouse Gas Initiative on Ten Northeast and Mid-Atlantic States

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    Assesses outcomes of the first U.S. market-based program to reduce emissions of carbon dioxide from power plants, including impact on electricity markets, power companies' costs, and consumer prices; use of auction proceeds; and states' economic benefits
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