397 research outputs found

    Naval Postgraduate School Academic Catalog - February 2023

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    Understanding Quantum Technologies 2022

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    Understanding Quantum Technologies 2022 is a creative-commons ebook that provides a unique 360 degrees overview of quantum technologies from science and technology to geopolitical and societal issues. It covers quantum physics history, quantum physics 101, gate-based quantum computing, quantum computing engineering (including quantum error corrections and quantum computing energetics), quantum computing hardware (all qubit types, including quantum annealing and quantum simulation paradigms, history, science, research, implementation and vendors), quantum enabling technologies (cryogenics, control electronics, photonics, components fabs, raw materials), quantum computing algorithms, software development tools and use cases, unconventional computing (potential alternatives to quantum and classical computing), quantum telecommunications and cryptography, quantum sensing, quantum technologies around the world, quantum technologies societal impact and even quantum fake sciences. The main audience are computer science engineers, developers and IT specialists as well as quantum scientists and students who want to acquire a global view of how quantum technologies work, and particularly quantum computing. This version is an extensive update to the 2021 edition published in October 2021.Comment: 1132 pages, 920 figures, Letter forma

    ECOS 2012

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    The 8-volume set contains the Proceedings of the 25th ECOS 2012 International Conference, Perugia, Italy, June 26th to June 29th, 2012. ECOS is an acronym for Efficiency, Cost, Optimization and Simulation (of energy conversion systems and processes), summarizing the topics covered in ECOS: Thermodynamics, Heat and Mass Transfer, Exergy and Second Law Analysis, Process Integration and Heat Exchanger Networks, Fluid Dynamics and Power Plant Components, Fuel Cells, Simulation of Energy Conversion Systems, Renewable Energies, Thermo-Economic Analysis and Optimisation, Combustion, Chemical Reactors, Carbon Capture and Sequestration, Building/Urban/Complex Energy Systems, Water Desalination and Use of Water Resources, Energy Systems- Environmental and Sustainability Issues, System Operation/ Control/Diagnosis and Prognosis, Industrial Ecology

    Applications of Mathematical Models in Engineering

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    The most influential research topic in the twenty-first century seems to be mathematics, as it generates innovation in a wide range of research fields. It supports all engineering fields, but also areas such as medicine, healthcare, business, etc. Therefore, the intention of this Special Issue is to deal with mathematical works related to engineering and multidisciplinary problems. Modern developments in theoretical and applied science have widely depended our knowledge of the derivatives and integrals of the fractional order appearing in engineering practices. Therefore, one goal of this Special Issue is to focus on recent achievements and future challenges in the theory and applications of fractional calculus in engineering sciences. The special issue included some original research articles that address significant issues and contribute towards the development of new concepts, methodologies, applications, trends and knowledge in mathematics. Potential topics include, but are not limited to, the following: Fractional mathematical models; Computational methods for the fractional PDEs in engineering; New mathematical approaches, innovations and challenges in biotechnologies and biomedicine; Applied mathematics; Engineering research based on advanced mathematical tools

    水産養殖における給餌支援を目的とした養殖魚活動量推定センサネットワーク

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    With the expansion of aquaculture production to meet the growing demand for food fish worldwide, there is an increasing need for its sustainable management not only to mitigate any threat to the aquatic environment but also to produce more high-quality fish that meet the market standards for seafood. Digital transformation (DX) holds an important role in achieving this need, enabling fish farmers make better decisions in using their resources as well as in reducing their costs of production through knowledge transfer and data. One such decision-making where DX can assist is in feeding, which generally has the largest share in production costs. Conventionally, farmers control the feeding from judging the fishes’ behavior. They learn this practice through their subjective experiences, leading to substantial differences in results between expert and novice farmers. The latter tends to feed the fishes inefficiently, producing uneaten feeds, which do not only increase financial burden in culture operations but also contribute to the pollution of the aquatic environment, which affect the growth and quality of the fish stocks and ultimately the sustainability of their operations. Applying DX to estimate the fish behavior therefore becomes important. While several intelligent feeding control methods using various technologies have been developed for applying such DX, many of are either easily affected by changes or noise from external sources or are technically difficult to implement in larger scales. An alternative approach is by measurement of outward flow from the cage, which has been observed to be fish induced. If we assume that fishes tend to swim upward when they sense feeds coming from the surface and swim back down when satiated, and that they tend to move in circles, fish activity at different depths can be visualized with this measurement to help farmers make feeding decisions. An off-grid modular sensor network was thus designed and developed to collect flow speed measurements and underwater video recordings from at least two depths and from multiple sides of a fish cage. This was realized by organizing sensors into sensor modules, which are connected to each other and are organized into sensor units. The sensor units were designed wirelessly relay data from all modules to a hub unit. Flow sensors were modified to measure flow speeds underwater. The network’s operation was also designed to be scheduled to manage its offshore power supply to enable long-term observation by the system. To demonstrate its functionality, the sensor network was deployed in fish cages and collected data, especially during feeding. The flow measurements and underwater videos were analyzed together to estimate the fish activity. Although there were various patterns, it could be observed that surface flow increased significantly at the beginning of feeding and declined toward the end. Vigorous surface activity was observed at most cages, validating the observed flow speeds. Offset between speeds at opposite sides was also observed, suggesting cancellation of global currents. In some experiments, increase of flow below the surface was also observed at the beginning and towards the end of feeding, indicating fishes to climbing and descending. There are many factors that contribute to the speed of flow coming out of the cage. However, the fishes’ locomotion and depth distribution have a large contribution to the changes in flow speed. These parameters depend on their hunger level and on the availability of feeds in water, as fishes may tend to swim up fast when they sense feed in water and swim less vigorously when they start to become full. A simplified model of the fish activity as a response to feeding was developed for simulation. Its output could be compared with the collected flow data for the farmers to use in improving their feeding decisions. Some observed flow patterns such as the decline of surface flow and the increase of flow at lower depths could be used for deciding on when to stop feeding. With these insights, a DX system was envisioned to collect flow speed and other measurements from multiple fish cages, assisting fish farmers in feeding. This research contributes to the development of DX application in cage aquaculture by introducing a flexible self-correcting system that could help farmers visualize underwater fish activity to help them improve their feeding decisions.九州工業大学博士学位論文 学位記番号:生工博甲第447号 学位授与年月日:令和4年9月26日1. Introduction|2. Flow speed sensor network|3. Fish activity estimation|4. Discussion on feeding decision|5. Conclusion九州工業大学令和4年

    INTER-ENG 2020

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    These proceedings contain research papers that were accepted for presentation at the 14th International Conference Inter-Eng 2020 ,Interdisciplinarity in Engineering, which was held on 8–9 October 2020, in Târgu Mureș, Romania. It is a leading international professional and scientific forum for engineers and scientists to present research works, contributions, and recent developments, as well as current practices in engineering, which is falling into a tradition of important scientific events occurring at Faculty of Engineering and Information Technology in the George Emil Palade University of Medicine, Pharmacy Science, and Technology of Târgu Mures, Romania. The Inter-Eng conference started from the observation that in the 21st century, the era of high technology, without new approaches in research, we cannot speak of a harmonious society. The theme of the conference, proposing a new approach related to Industry 4.0, was the development of a new generation of smart factories based on the manufacturing and assembly process digitalization, related to advanced manufacturing technology, lean manufacturing, sustainable manufacturing, additive manufacturing, and manufacturing tools and equipment. The conference slogan was “Europe’s future is digital: a broad vision of the Industry 4.0 concept beyond direct manufacturing in the company”

    UAV or Drones for Remote Sensing Applications in GPS/GNSS Enabled and GPS/GNSS Denied Environments

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    The design of novel UAV systems and the use of UAV platforms integrated with robotic sensing and imaging techniques, as well as the development of processing workflows and the capacity of ultra-high temporal and spatial resolution data, have enabled a rapid uptake of UAVs and drones across several industries and application domains.This book provides a forum for high-quality peer-reviewed papers that broaden awareness and understanding of single- and multiple-UAV developments for remote sensing applications, and associated developments in sensor technology, data processing and communications, and UAV system design and sensing capabilities in GPS-enabled and, more broadly, Global Navigation Satellite System (GNSS)-enabled and GPS/GNSS-denied environments.Contributions include:UAV-based photogrammetry, laser scanning, multispectral imaging, hyperspectral imaging, and thermal imaging;UAV sensor applications; spatial ecology; pest detection; reef; forestry; volcanology; precision agriculture wildlife species tracking; search and rescue; target tracking; atmosphere monitoring; chemical, biological, and natural disaster phenomena; fire prevention, flood prevention; volcanic monitoring; pollution monitoring; microclimates; and land use;Wildlife and target detection and recognition from UAV imagery using deep learning and machine learning techniques;UAV-based change detection

    DRONE DELIVERY OF CBNRECy – DEW WEAPONS Emerging Threats of Mini-Weapons of Mass Destruction and Disruption (WMDD)

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    Drone Delivery of CBNRECy – DEW Weapons: Emerging Threats of Mini-Weapons of Mass Destruction and Disruption (WMDD) is our sixth textbook in a series covering the world of UASs and UUVs. Our textbook takes on a whole new purview for UAS / CUAS/ UUV (drones) – how they can be used to deploy Weapons of Mass Destruction and Deception against CBRNE and civilian targets of opportunity. We are concerned with the future use of these inexpensive devices and their availability to maleficent actors. Our work suggests that UASs in air and underwater UUVs will be the future of military and civilian terrorist operations. UAS / UUVs can deliver a huge punch for a low investment and minimize human casualties.https://newprairiepress.org/ebooks/1046/thumbnail.jp

    Electronics for Sensors

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    The aim of this Special Issue is to explore new advanced solutions in electronic systems and interfaces to be employed in sensors, describing best practices, implementations, and applications. The selected papers in particular concern photomultiplier tubes (PMTs) and silicon photomultipliers (SiPMs) interfaces and applications, techniques for monitoring radiation levels, electronics for biomedical applications, design and applications of time-to-digital converters, interfaces for image sensors, and general-purpose theory and topologies for electronic interfaces
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