692 research outputs found

    Optimized Deep Learning Models for AUV Seabed Image Analysis

    Full text link
    Using autonomous underwater vehicles, or AUVs, has completely changed how we gather data from the ocean floor. AUV innovation has advanced significantly, especially in the analysis of images, due to the increasing need for accurate and efficient seafloor mapping. This blog post provides a detailed summary and comparison of the most current advancements in AUV seafloor image processing. We will go into the realm of undersea technology, covering everything through computer and algorithmic advancements to advances in sensors and cameras. After reading this page through to the end, you will have a solid understanding of the most up-to-date techniques and tools for using AUVs to process seabed photos and how they could further our comprehension of the ocean floorComment: 6 pages , 4 figure

    Emotion Based Prediction in the Context of Optimized Trajectory Planning for Immersive Learning

    Full text link
    In the virtual elements of immersive learning, the use of Google Expedition and touch-screen-based emotion are examined. The objective is to investigate possible ways to combine these technologies to enhance virtual learning environments and learners emotional engagement. Pedagogical application, affordances, and cognitive load are the corresponding measures that are involved. Students will gain insight into the reason behind their significantly higher post-assessment Prediction Systems scores compared to preassessment scores through this work that leverages technology. This suggests that it is effective to include emotional elements in immersive learning scenarios. The results of this study may help develop new strategies by leveraging the features of immersive learning technology in educational technologies to improve virtual reality and augmented reality experiences. Furthermore, the effectiveness of immersive learning environments can be raised by utilizing magnetic, optical, or hybrid trackers that considerably improve object tracking.Comment: 5 pages, 5 figure

    Revolutionizing Underwater Exploration of Autonomous Underwater Vehicles (AUVs) and Seabed Image Processing Techniques

    Full text link
    The oceans in the Earth's in one of the last border lines on the World, with only a fraction of their depths having been explored. Advancements in technology have led to the development of Autonomous Underwater Vehicles (AUVs) that can operate independently and perform complex tasks underwater. These vehicles have revolutionized underwater exploration, allowing us to study and understand our oceans like never before. In addition to AUVs, image processing techniques have also been developed that can help us to better understand the seabed and its features. In this comprehensive survey, we will explore the latest advancements in AUV technology and seabed image processing techniques. We'll discuss how these advancements are changing the way we explore and understand our oceans, and their potential impact on the future of marine science. Join us on this journey to discover the exciting world of underwater exploration and the technologies that are driving it forward.Comment: 7 page

    Near-infrared optical properties and proposed phase-change usefulness of transition metal disulfides

    Full text link
    The development of photonic integrated circuits would benefit from a wider selection of materials that can strongly-control near-infrared (NIR) light. Transition metal dichalcogenides (TMDs) have been explored extensively for visible spectrum opto-electronics, but the NIR properties of these layered materials have been less-studied. The measurement of optical constants is the foremost step to qualify TMDs for use in NIR photonics. Here we measure the complex optical constants for select sulfide TMDs (bulk crystals of MoS2, TiS2 and ZrS2) via spectroscopic ellipsometry in the visible-to-NIR range. Through Mueller matrix measurements and generalized ellipsometry, we explicitly measure the direction of the ordinary optical axis. We support our measurements with density functional theory (DFT) calculations, which agree with our measurements and predict giant birefringence. We further propose that TMDs could find use as photonic phase-change materials, by designing alloys that are thermodynamically adjacent to phase boundaries between competing crystal structures, to realize martensitic (i.e. displacive, order-order) switching.Comment: supplementary at end of document. 6 main figure

    Leading Meaningful Change

    Get PDF
    While strategic planning is often approached from a theoretical perspective, it is in the implementation that the rubber hits the road. The importance of leadership in this shift from a theoretical plan to actual implementation cannot be underestimated. Change agents from a variety of institutional types—community college, public institution, and private institution—will discuss strategies used to inspire and guide others toward the achievement of shared objectives while managing institutional complexities. You will learn about issues leaders must successfully address to implement a meaningful strategic planning process

    Academic Budget Prioritization in a Shared Governance University

    Get PDF
    Academic program review and budget prioritization in a shared governance environment with transparency and results was critical for Minnesota State University-Mankato, in preparation for forecasted budget reductions. Using an interactive format, this session will review the development of program evaluation metrics, highlight the process and timeline used, present key lessons learned, and provide attendees an opportunity to consider application on their home campus

    Effective Disaster Management by Efficient Usage of Resources

    Full text link
    Disaster Management can be merely defined as the organization and management of resources and responsibilities for dealing with all humanitarian aspects of crises, in specific preparedness, rejoinder and recapture in order to diminish the influence of disasters. But the affects of the disaster increases only when the information about the disaster is unknown and when the resources for the disaster management is not correctly used. Now there are several methods for forecast the disaster, But there are no any effective methods for handling the resources needed for both managing the disaster and also for rehabilitation purpose. Thus this paper proposes an application used for managing the disaster and handling the rehabilitation process. This application which deals with almost all the resources those are required for the management of disaster. This proposed application which is based on java programming language. This project also has a great scope of enhancement in future

    Use of massively multiple merged data for low‐resolution S‐SAD phasing and refinement of flavivirus NS1

    Full text link
    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/109310/1/S1399004714017556.pd

    Expanded binding specificity of the human histone chaperone NASP

    Get PDF
    NASP (nuclear autoantigenic sperm protein) has been reported to be an H1-specific histone chaperone. However, NASP shares a high degree of sequence similarity with the N1/N2 family of proteins, whose members are H3/H4-specific histone chaperones. To resolve this paradox, we have performed a detailed and quantitative analysis of the binding specificity of human NASP. Our results confirm that NASP can interact with histone H1 and that this interaction occurs with high affinity. In addition, multiple in vitro and in vivo experiments, including native gel electrophoresis, traditional and affinity chromatography assays and surface plasmon resonance, all indicate that NASP also forms distinct, high specificity complexes with histones H3 and H4. The interaction between NASP and histones H3 and H4 is functional as NASP is active in in vitro chromatin assembly assays using histone substrates depleted of H1
    corecore