Bibliographies thématiques / Deployment Accuracy

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Littérature scientifique sur le sujet « Deployment Accuracy »

Auteur : Grafiati

Publié le 7 juin 2025

Mis à jour le 2 août 2025

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Articles de revues sur le sujet "Deployment Accuracy"

Zhang, Chen Yu, Guang Jie Han, Chuan Zhu, and Tong Qing Liu. "The Insights of Node Deployment for Localization Accuracy in Underwater Acoustic Sensor Networks." Advanced Materials Research 605-607 (December 2012): 1050–53. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1050.

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Node deployment is a reflection of cost and performance in Underwater Acoustic Sensor Networks (UASNs). In this paper, we compared three different node deployment strategies, namely random deployment, grid deployment and tetrahedral deployment, on aspects of node number, end-to-end delay, localization accuracy, coverage and connectivity. Simulation shows that tetrahedral deployment strategy has the smallest localization error. As connectivity is to be ensured, coverage can be reduced depending on the ratio of r/s.

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Piridi, Sarat, Satyanarayana Asundi, and Dr James C. Hyatt. "Cross-Environment Deployment Strategies for Power Platform Solutions – Investigating best practices for managing multi-environment deployments, from development to production, using managed environments and DevOps." International Journal of Advanced Engineering Research and Science 12, no. 4 (2025): 66–75. https://doi.org/10.22161/ijaers.124.8.

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The cross-environment deployment strategies for Power Platform solutions which include moving Power Platform solutions from development to production using managed environments and DevOps practices. The paper takes advantage of ten key academic and industry sources to evaluate frameworks, automation tools and governing models to streamline deployment and enhance system reliability. The measurable benefits of such case studies are reduced deployment time and improved accuracy. With this DevOps deployed throughout cloud and hybrid platform and agile methodology, it facilitates scalable and secur

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Ma, J., Nobuyoshi Komuro, and Shiro Sakata. "Sensor Deployment for Location-Estimation Coverage." Key Engineering Materials 480-481 (June 2011): 1161–66. http://dx.doi.org/10.4028/www.scientific.net/kem.480-481.1161.

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Sensor deployment problem for target location estimation is important for sensor networks which fulfill the monitoring tasks. In this paper, we investigate the deployment schemes which guarantee the location estimation accuracy of an arbitrary point within the region, by connecting the location estimation problem with the perspective of k-coverage problem. Our strategies are deploying sensors to guarantee the location-estimation accuracy of an arbitrary point within the monitored region, and to minimize the number of required sensors. Compared with the random deployment, the deterministic depl

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Reddy, Vonteru Srikanth, and Kumar Debasis. "Statistical Review of Health Monitoring Models for Real-Time Hospital Scenarios." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 7s (2023): 465–81. http://dx.doi.org/10.17762/ijritcc.v11i7s.7025.

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Health Monitoring System Models (HMSMs) need speed, efficiency, and security to work. Cascading components ensure data collection, storage, communication, retrieval, and privacy in these models. Researchers propose many methods to design such models, varying in scalability, multidomain efficiency, flexibility, usage and deployment, computational complexity, cost of deployment, security level, feature usability, and other performance metrics. Thus, HMSM designers struggle to find the best models for their application-specific deployments. They must test and validate different models, which incr

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Du, Lei, Jianmin Gao, and Kun Chen. "A Comprehensive Error Analysis Method for Accuracy Reliability Deployment." Journal of Computational and Theoretical Nanoscience 13, no. 10 (2016): 7271–79. http://dx.doi.org/10.1166/jctn.2016.5708.

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To avoid equipment accuracy failure caused by degradation with use, the concept of Reliability Function Deployment (RFD) is employed to set up a comprehensive error analysis model. An operative matrix tool, called the House of Accuracy Reliability (HoAR) is presented. The HoAR is combined with Fault Tree Analysis (FTA), Failure Mode Effects and Criticality Analysis (FMECA) and Quality Function Deployment (QFD). In the HoAR, besides geometric error, thermal deformation error and load deformation error, a domino effect of error propagation is also taken into account for the risk assessment. Usin

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Aziz, Toufiq, and Koo Insoo. "Enhancing Indoor Localization Accuracy through Multiple Access Point Deployment." Electronics 13, no. 16 (2024): 3307. http://dx.doi.org/10.3390/electronics13163307.

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This study addresses the limitations of wireless local area networks in indoor localization by utilizing Extra-Trees Regression (ETR) to estimate locations based on received signal strength indicator (RSSI) values from a radio environment map (REM). We investigate how integrating numerous access points can enhance indoor localization accuracy. By constructing an extensive REM using RSSI data from various access points collected by a mobile robot in the intended interior setting, we evaluate several machine learning regression techniques. Our research pays special attention to an optimized ETR

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Campbell, Douglas, and Arup Maji. "Failure Mechanisms and Deployment Accuracy of Elastic-Memory Composites." Journal of Aerospace Engineering 19, no. 3 (2006): 184–93. http://dx.doi.org/10.1061/(asce)0893-1321(2006)19:3(184).

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Ukani, Neema Amish, and Saurabh S. Chakole. "Empirical analysis of machine learning-based moisture sensing platforms for agricultural applications: A statistical perspective." Journal of Physics: Conference Series 2327, no. 1 (2022): 012026. http://dx.doi.org/10.1088/1742-6596/2327/1/012026.

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Abstract Modelling of accurate detection & estimation soil moisture sensors requires integration of various signal processing, filtering, segmentation, and pattern analysis methods. Sensing of moisture is generally performed via use of resistive, or capacitive materials, which change their parametric characteristics w.r.t. changes in moisture levels. These sensors are further classified depending upon capabilities of measurements, which include, volumetric sensors, soil water tensor sensors, electromagnetic sensors, time domain reflectometry (TDR) sensors, Neutron probe sensors, tensiomete

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Umer, Waleed, and Mohsin K. Siddiqui. "Use of Ultra Wide Band Real-Time Location System on Construction Jobsites: Feasibility Study and Deployment Alternatives." International Journal of Environmental Research and Public Health 17, no. 7 (2020): 2219. http://dx.doi.org/10.3390/ijerph17072219.

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Ultra wide band (UWB)-based real-time location systems (RTLSs) have been widely adopted in the manufacturing industry for tracking tools, materials, and ensuring safety. Researchers in the construction domain have investigated similar uses for UWB-based RTLSs on construction jobsites. However, most of these investigations comprised small-scale experiments using average accuracy only to demonstrate use cases for the technology. Furthermore, they did not consider alternative deployment scenarios for practically feasible deployment of the technology. To overcome these limitations, a series of exp

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Thanneeru, Vyshnavi, and Murali Mohan Reddy Seelam. "Transforming Deployment and Release Management for Salesforce with Copado's AI." International Journal on Cybernetics & Informatics 14, no. 3 (2025): 75–79. https://doi.org/10.5121/ijci.2025.140306.

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This Research article explores the changing impact of AI (Artificial Intelligence) on automation capabilities of Copado, improving the deployment and change management in Salesforce DevOps. In this paper we have outlined the AI- based methodologies that automate the version control, optimize change management workflows, and improve accuracy of the deployments. The traditional Salesforce DevOps pipelines face many challenges like deployment errors, merge conflicts, roll back issues, and dependencies between the components. By implementing predictive analytics, machine learning, and automated ri

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Thèses sur le sujet "Deployment Accuracy"

Ahlander, Jesper, and Maria Posluk. "Deployment Strategies for High Accuracy and Availability Indoor Positioning with 5G." Thesis, Linköpings universitet, Reglerteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166431.

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Indoor positioning is desired in many areas for various reasons, such as positioning products in industrial environments, hospital equipment or firefighters inside a building on fire. One even tougher situation where indoor positioning can be useful is locating a specific object on a shelf in a commercial setting. This thesis aims to investigate and design different network deployment strategies in an indoor environment in order to achieve both high position estimation accuracy and availability. The investigation considers the two positioning techniques downlink time difference of arrival, DL-

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Chen, Huilin [Verfasser], Wolfgang [Gutachter] Weigand, and Martin [Gutachter] Heimann. "Development of a high-accuracy continuous CO2/CH4/H2O analyzer for deployment on board a commercial airliner / Huilin Chen ; Gutachter: Wolfgang Weigand, Martin Heimann." Jena : Friedrich-Schiller-Universität Jena, 2010. http://d-nb.info/1177664119/34.

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Yang, Fan. "Visual Infrastructure based Accurate Object Recognition and Localization." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492752246062673.

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Livres sur le sujet "Deployment Accuracy"

S, Lake Mark, and United States. National Aeronautics and Space Administration., eds. Micron Accuracy Deployment Experiment (MADE). National Aeronautics and Space Administration, 1995.

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S, Lake Mark, and United States. National Aeronautics and Space Administration., eds. Micron Accuracy Deployment Experiment (MADE). National Aeronautics and Space Administration, 1995.

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United States. Government Accountability Office. Military personnel: DOD lacks reliable personnel tempo data and needs quality controls to improve data accuracy : report to the Committee on Armed Services, U.S. Senate and Committee on Armed Services, House of Representatives. GAO, 2007.

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Kahn, S. Lowell. Tips for Accurate Palmaz Stent Deployment. Edited by S. Lowell Kahn, Bulent Arslan, and Abdulrahman Masrani. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199986071.003.0006.

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The Palmaz XL stent (Cordis) is a stainless-steel stent designed to be manually mounted on a balloon. Cautious mounting is warranted to avoid potential mal-deployment of the stent. Several mounting techniques are utilized. This chapter delineates the following three mounting techniques to achieve an accurate deployment of the Palmaz stent: use of a second balloon during deployment, use of a long delivery balloon, and use of an asymmetrically mounted stent and long delivery sheath to prevent distal herniation of the Palmaz stent. All three techniques can be used with most Palmaz stent deploymen

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Ryle, Cym Anthony. Risk and Reason in Clinical Diagnosis. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780190944001.001.0001.

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This book provides, without the use of specialist language, a description of diagnostic reasoning and error and a discussion of steps that could improve diagnostic accuracy. Drawing on work in cognitive psychology, it presents the key characteristics of human reasoning. It notes that complex cognitive tasks such as medical diagnosis require a synergy of intuition and analytical thinking and introduces the concept of bias. The book considers the value of current classifications of disease, the meaning of diagnostic thresholds, and the potential for overdiagnosis. It examines the role of the pat

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Jordan, John, ed. Warship 2024. Bloomsbury Publishing Plc, 2024. https://doi.org/10.5040/9781472863317.

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The 2024 edition ofWarship, the celebrated annual publication featuring original research on the history, development, and service of the world's warships. For over 45 years,Warshiphas been the leading annual resource on the design, development, and deployment of the world's combat ships. Featuring a broad range of articles from a select panel of distinguished international contributors, this latest volume combines original research, new book reviews, warship notes, an image gallery, and much more, maintaining the impressive standards of scholarship and research with whichWarshiphas become syn

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Brontë, Charlotte, and Tim Dolin. Villette. Edited by Margaret Smith. Oxford University Press, 2008. http://dx.doi.org/10.1093/owc/9780199536658.001.0001.

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‘I am only just returned to a sense of the real world about me, for I have been reading Villette, a still more wonderful book than Jane Eyre.’ George Eliot Lucy Snowe, in flight from an unhappy past, leaves England and finds work as a teacher in Madame Beck's school in 'Villette'. Strongly drawn to the fiery autocratic schoolmaster Monsieur Paul Emanuel, Lucy is compelled by Madame Beck's jealous interference to assert her right to love and be loved. Based in part on Charlotte Brontë's experience in Brussels ten years earlier, Villette (1853) is a cogent and dramatic exploration of a woman's r

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Moskos, Peter. Back from the Brink. Oxford University Press, 2025. https://doi.org/10.1093/oso/9780197797778.001.0001.

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Abstract New York City’s 1990s crime drop was unexpected and counter to a long-established academic narrative that crime could only be addressed through greater changes in society. Using extensive interviews, this book explains the crime drop from the police officers’ perspectives. Over the course of three decades—through riots, fiscal crises, urban decline, and increasing gun violence—New York City’s seemingly inevitable fall transformed into rebirth. First, in the subway system in the late 1980s, the intractable problem of graffiti was solved through a five-year problem-solving approach that

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Mannucci, Pier Mannuccio. Bleeding and haemostasis disorders. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199687039.003.0070.

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The main cause of haemostasis defects and related bleeding complications in patients with acute coronary syndromes admitted to the intensive cardiac care unit is the use of multiple antithrombotic drugs, alone or concomitantly with invasive procedures such as percutaneous coronary intervention with stent deployment and coronary artery bypass surgery. These drugs, that act upon several components of haemostasis (platelet function, coagulation, fibrinolysis), are associated with bleeding complications, particularly in elderly patients (more so in women than in men), those who are underweight, an

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Mannucci, Pier Mannuccio. Bleeding and haemostasis disorders. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199687039.003.0070_update_001.

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Chapitres de livres sur le sujet "Deployment Accuracy"

Lavasa, Eleni, Christos Chadoulos, Athanasios Siouras, et al. "Toward Explainable Metrology 4.0: Utilizing Explainable AI to Predict the Pointwise Accuracy of Laser Scanning Devices in Industrial Manufacturing." In Artificial Intelligence in Manufacturing. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-46452-2_27.

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AbstractThe field of metrology, which focuses on the scientific study of measurement, is grappling with a significant challenge: predicting the measurement accuracy of sophisticated 3D scanning devices. These devices, though transformative for industries like manufacturing, construction, and archeology, often generate complex point cloud data that traditional machine learning models struggle to manage effectively. To address this problem, we proposed a PointNet-based model, designed inherently to navigate point cloud data complexities, thereby improving the accuracy of prediction for scanning

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Klotzman, Vanessa, Cristina V. Lopes, John Schomberg, et al. "Development of a CDH-Specific Conversational Assistant Using RAG." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88346-0_3.

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Abstract This study focuses on developing and evaluating a medical assistant that utilizes Retrieval-Augmented Generation (RAG) combined with GPT-4 to answer questions related to Congenital Diaphragmatic Hernia (CDH). We aimed to assess the assistant’s response accuracy, identify its limitations, and determine if performance would improve with an expanded knowledge base, also known as its vector database. Initially, the knowledge base contained 230 papers, and the assistant demonstrated mixed results, correctly answering only 19 out of 100 expected CDH questions during the internal evaluation.

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Yang, Chao, Qize Guo, Hao Yu, Yan Chen, Tarik Taleb, and Kari Tammi. "Semantic-Enhanced Digital Twin for Industrial Working Environments." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78572-6_1.

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Abstract Real-time data from diverse Internet of Things (IoT) sensors (such as cameras, temperature, light, and air quality sensors) is essential for monitoring smart manufacturing environments. However, efficiently perceiving, integrating, and interpreting this data remains a challenge, as it involves dealing with heterogeneous data formats, ensuring data accuracy, and providing real-time analytics. This paper proposes a semantic-enhanced Digital Twin (DT) to address these complexities and aims to offer a comprehensive view of industrial working environments. The paper first presents a concep

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Zaidi, Syed Farhan Alam, Rahat Hussain, Muhammad Sibtain Abbas, Jaehun Yang, Doyeop Lee, and Chansik Park. "iSafe Welding System: Computer Vision-Based Monitoring System for Safe Welding Work." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.66.

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The construction industry faces significant challenges, including a high prevalence of occupational incidents, often involving fires, explosions, and burn-related accidents due to worker non-compliance with safety protocols. Adherence to safety guidelines and proper utilization of safety equipment are critical to preventing such incidents and safeguarding workers in hazardous work environments. Consequently, a monitoring system tailored for construction safety during welding operations becomes imperative to mitigate the risk of fire accidents. This paper conducts a brief analysis of OSHA rules

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Wilkie, Bernard, Karla Muñoz Esquivel, and Jamie Roche. "An LSTM Framework for the Effective Screening of Dementia for Deployment on Edge Devices." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59080-1_2.

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AbstractDementia is a series of neurodegenerative disorders that affect 1 in 4 people over the age of 80 and can greatly reduce the quality of life of those afflicted. Alzheimer’s disease (AD) is the most common variation, accounting for roughly 60% of cases. The current financial cost of these diseases is an estimated $1.3 trillion per year. While treatments are available to help patients maintain their mental function and slow disease progression, many of those with AD are asymptomatic in the early stages, resulting in late diagnosis. The addition of the routine testing needed for an effecti

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Gawande, Manisha A., and Suchita W. Varade. "Pragmatic Analysis of Vein Detection and Processing Models from an Empirical Perspective." In Data Science and Intelligent Computing Techniques. Soft Computing Research Society, 2023. http://dx.doi.org/10.56155/978-81-955020-2-8-34.

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Vein detection is a difficult process that can be carried out using context-dependent intrusive & non-intrusive techniques. The models based on image processing, pressure sensing, depth detection, etc. are just a few examples of these techniques. Finding the best vein detection model for a given deployment is challenging, especially when evaluated in terms of their computing complexity, deployment costs, accuracy, precision, and other context-specific criteria. The ambiguity of model selection for various use-cases is further increased by these variances in model performance. Due to this a

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Guo, Cheng, R. Venkatesha Prasad, Jing Wang, Vijay Sathyanarayana Rao, and Ignas Niemegeers. "Localizing Persons Using Body Area Sensor Network." In Developments in Wireless Network Prototyping, Design, and Deployment. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1797-1.ch013.

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Context awareness is an important aspect in many ICT applications. For example, in an intelligent home network, location of the user enables session transfer, lighting, and temperature control, et cetera. In fact, in a body area sensor network (BASN), location estimation of a user helps in realizing realtime monitoring of the person (especially those who require help) for better health supervision. In this chapter the authors first introduce many localization methods and algorithms from the literature in BASNs. They also present classification of these methods. Amongst them, location estimatio

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Viji, Gripsy J., L. Sheeba, Deepa Kumar, Banu N. Sharmila, and Bobby Lukose. "Eco-Intelligent 6G Deployment." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-2220-9.ch008.

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The sixth-generation technology will transform the world of global connectivity with data speeds never even thought possible, effortless automation, and improved interaction with smart cities and IoT. Consequently, challenges arise in implementing this framework through data integration from diverse sources to maintain the accuracy of the models under varying conditions and proactive engagement with stakeholders to enhance model parameters and regulatory standards. This research work addresses these problems by analyzing several 6G consequences, from energy consumption, with the proposed Susta

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McIntosh, Bruce, Natnael Daba, and Abhijit Mahalanobis. "Estimation of class priors for improving classification accuracy during deployment." In Advances in Machine Learning and Image Analysis for GeoAI. Elsevier, 2024. http://dx.doi.org/10.1016/b978-0-44-319077-3.00010-9.

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Actes de conférences sur le sujet "Deployment Accuracy"

Golparvar, Behzad, Shaghayegh Vosoughitabar, David Bazzett, et al. "How Does the Growth of 5G mmWave Deployment Affect the Accuracy of Numerical Weather Forecasting?" In 2024 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN). IEEE, 2024. http://dx.doi.org/10.1109/dyspan60163.2024.10632798.

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Barshinger, James, Sean Lynch, and Michael Nugent. "Deployment of Cellular-Based Ultrasonic Corrosion Measurement System for Refining & Petro-Chemical Plant Applications." In CORROSION 2017. NACE International, 2017. https://doi.org/10.5006/c2017-08925.

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Abstract Recent technological advances in precision, fully-digital ultrasonic wall-thickness measurement systems coupled with cellular data back-haul are enabling very accurate, easily deployable, and more cost-effective corrosion monitoring systems that can compete with more traditional manual nondestructive testing (NDT) methods. Some comparisons with improved data accuracy of installed sensors in lieu of larger quantities of manual spot data are presented. This paper will include the design principles used in the creation of this next-generation platform, end-user input used to refine the d

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Rani, Fatima, Fenin Jose, Lucas Vogt, and Leonhard Urbas. "A Comparative Analysis of Industrial MLOps prototype for ML Application Deployment at the edge devices." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.152203.

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This paper introduces a prototype for constructing an edge AI system utilizing the contemporary Machine Learning Operations (MLOps) concept. By employing microcontrollers such as the Raspberry Pi as hardware, our methodology includes data scrubbing and machine learning model deployment on edge devices. Crucially, the MLOps pipeline is fully developed within the ecoKI platform, a research platform for ML/AI applications. In this study, we thoroughly investigate the performance of our ecoKI platform by comparing it with the established Edge Impulse platform. We deployed the ML model with differe

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Chakra, Sara Abou, Elizabeth Colin, Elias Hatem, Bachar El Hassan, and Jean-Marc Laheurte. "An UHF RFID Indoor Localization System based on the Maximum Likelihood Estimator with an Effective Tags Deployment Density and a Sub-Metric Accuracy." In 2025 5th IEEE Middle East and North Africa Communications Conference (MENACOMM). IEEE, 2025. https://doi.org/10.1109/menacomm62946.2025.10911038.

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Warren, Peter, L. Peterson, and Jason Hinkle. "Nanometer accuracy strain energy deployment hinge." In 40th Structures, Structural Dynamics, and Materials Conference and Exhibit. American Institute of Aeronautics and Astronautics, 1999. http://dx.doi.org/10.2514/6.1999-1271.

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Wang, Riming, and Jiuchao Feng. "Effective Sensors Deployment with Localization Accuracy Constraints." In 2014 IEEE 17th International Conference on Computational Science and Engineering (CSE). IEEE, 2014. http://dx.doi.org/10.1109/cse.2014.110.

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Campbell, Douglas, and Arup Maji. "Deployment Accuracy and Mechanics of Elastic Memory Composites." In 44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.2003-1495.

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Wang, Riming, BaiHua Shen, and Yang Liu. "Optimization of sensor deployment for localization accuracy improvement." In 2016 IEEE International Conference on Consumer Electronics-China (ICCE-China). IEEE, 2016. http://dx.doi.org/10.1109/icce-china.2016.7849726.

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Garden, M. "Stake-Less Nodal Seismic Deployment Using Internal GNSS Receiver." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/222534-ms.

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Abstract Pre-surveying receiver point locations is extremely time consuming and unreasonably lengthen seismic acquisition projects if the planned receiver grid is very dense. An alternative is to approximately deploy receivers and then use receivers internal Global Navigation Satellite Systems (GNSS) device for their final position. After some cleaning, these positions have an acceptable accuracy to be used in the processing of the seismic data. Receiver deployment does not need accuracy. In practice it was carried out using a hand-held GNSS device, but it could have been done using simpler te

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Robert, Fabien Chidanand, and Sundararaman Gopalan. "From Solar Microgrid Simulation to Field Deployment: Accuracy and Uncertainties." In 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA). IEEE, 2018. http://dx.doi.org/10.1109/icrera.2018.8566777.

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Rapports d'organisations sur le sujet "Deployment Accuracy"

Williams, P. L., and N. L. Max. The LLNL High Accuracy Volume Renderer for Unstructured Data: Capabilities, Current Limits, and Potential for ASCI/VIEWS Deployment. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/15007270.

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Yu, Haichao, Haoxiang Li, Honghui Shi, Thomas S. Huang, and Gang Hua. Any-Precision Deep Neural Networks. Web of Open Science, 2020. http://dx.doi.org/10.37686/ejai.v1i1.82.

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We present Any-Precision Deep Neural Networks (Any- Precision DNNs), which are trained with a new method that empowers learned DNNs to be flexible in any numerical precision during inference. The same model in runtime can be flexibly and directly set to different bit-width, by trun- cating the least significant bits, to support dynamic speed and accuracy trade-off. When all layers are set to low- bits, we show that the model achieved accuracy compara- ble to dedicated models trained at the same precision. This nice property facilitates flexible deployment of deep learn- ing models in real-worl

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Ferdaus, Md Meftahul, Mahdi Abdelguerfi, Kendall Niles, Ken Pathak, and Joe Tom. Widened attention-enhanced atrous convolutional network for efficient embedded vision applications under resource constraints. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49459.

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Onboard image analysis enables real-time autonomous capabilities for unmanned platforms including aerial, ground, and aquatic drones. Performing classification on embedded systems, rather than transmitting data, allows rapid perception and decision-making critical for time-sensitive applications such as search and rescue, hazardous environment exploration, and military operations. To fully capitalize on these systems’ potential, specialized deep learning solutions are needed that balance accuracy and computational efficiency for time-sensitive inference. This article introduces the widened att

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Kumar, Kaushal, and Yupeng Wei. Attention-Based Data Analytic Models for Traffic Flow Predictions. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2211.

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Traffic congestion causes Americans to lose millions of hours and dollars each year. In fact, 1.9 billion gallons of fuel are wasted each year due to traffic congestion, and each hour stuck in traffic costs about $21 in wasted time and fuel. The traffic congestion can be caused by various factors, such as bottlenecks, traffic incidents, bad weather, work zones, poor traffic signal timing, and special events. One key step to addressing traffic congestion and identifying its root cause is an accurate prediction of traffic flow. Accurate traffic flow prediction is also important for the successfu

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Conery, Ian, Brittany Bruder, Connor Geis, Jessamin Straub, Nicholas Spore, and Katherine Brodie. Applicability of CoastSnap, a crowd-sourced coastal monitoring approach for US Army Corps of Engineers district use. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47568.

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This US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, technical report details the pilot deployment, accuracy evaluation, and best practices of the citizen-science, coastal-image monitoring program CoastSnap. Despite the need for regular observational data, many coastlines are monitored infrequently due to cost and personnel, and this cell phone-image-based approach represents a new potential data source to districts in addition to providing an outreach opportunity for the public. Requiring minimal hardware and signage, the system is simple to install but re

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Christensen, Lance. PR-459-133750-R03 Fast Accurate Automated System To Find And Quantify Natural Gas Leaks. Pipeline Research Council International, Inc. (PRCI), 2019. http://dx.doi.org/10.55274/r0011633.

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Miniature natural gas sensors weighing a few hundred grams with 10 ppb s-1 sensitivity towards methane and ppb s-1 sensitivity towards methane and ethane present the energy industry with cost effective ways to improve safety, comply with State and Federal regulations, decrease natural gas emissions, and attribute natural gas indications to thermogenic or biogenic sources. One particularly promising implementation is on small unmanned aerial systems (sUASs) flown by service providers or in-house personnel or even more ambitiously as part of larger network conducting autonomous, continual monito

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Kaitlin, Ball. New Technologies for Combatting Sexual Violence in Conflict and Non-conflict Settings. Institute of Development Studies, 2022. http://dx.doi.org/10.19088/k4d.2022.136.

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There are a significant number of new technologies aimed at combatting sexual and gender-based violence (SGBV)—primarily in the form of “emergency mobile apps”, but they are generally geographically and culturally limited, and under-studied. There are fewer applications of new technologies addressing conflict-related sexual violence (CRSV), as regards prevention, monitoring, and early warning systems. Well established issues related to the under-reporting of SGBV also impact the accuracy of digital monitoring tools used in both conflict and non-conflict contexts. The use of digital tools to co

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Hubbard, Sarah M., and Bryan Hubbard. Investigation of Strategic Deployment Opportunities for Unmanned Aerial Systems (UAS) at INDOT. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317126.

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Unmanned aerial systems (UAS) are increasingly used for a variety of applications related to INDOT’s mission including bridge inspection, traffic management, incident response, construction and roadway mapping. UAS have the potential to reduce costs and increase capabilities. Other state DOTs and transportation agencies have deployed UAS for an increasing number of applications due to technology advances that provide increased capabilities and lower costs, resulting from regulatory changes that simplified operations for small UAS under 55 pounds (aka, sUAS). This document provides an overview

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Perren, Will, Nick Reed, Ben Simpson, and Kostas Kourantidis. PPR2020 - Automated Vehicle Safety Assurance - In-use Safety and Security Monitoring - Task 5: Outcome Reporting. TRL, 2022. http://dx.doi.org/10.58446/qlpq9096.

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This report discusses the potential uses of in-use vehicle data to generate aggregated data to calculate Safety Performance Indicators (SPIs) and track safety performance of Automated Vehicles (AVs) throughout their deployment lifetime. The two primary benefits of collecting this data are to provide a feedback loop to AV Manufacturers and Operators to improve their safety performance as well as compare the safety of AVs more broadly against conventional driving and other transport modes. This work identifies a set of SPIs that can be recorded using in-vehicle data and other available data sets

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El-Rayes, Khaled, and Ernest-John Ignacio. Evaluating the Benefits of Implementing Mobile Road Weather Information Sensors. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-004.

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State departments of transportation (DOTs) have traditionally utilized fixed road weather information sensors (RWIS) to improve road safety during inclement weather; enhance the management of labor, equipment, and materials for winter road maintenance; and reduce adverse environmental impacts from road maintenance activities. Despite the benefits of these fixed RWIS sites, their coverage and effectiveness are limited because of their stationary locations. To overcome these limitations, recent advances in mobile road weather information sensing technology and cellular communications have enable

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