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Announcements for SAE Mobilus

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NEW on Mobilus: Try SAE AI Chat (Beta)
Dear patrons, We’re excited to introduce SAE AI Chat – a new AI-powered feature now available in beta on Mobilus. With SAE AI Chat, you can: Ask natural language questions and receive responses derived from 12,000+ SAE standards Save time searching through extensive technical documents Summarize text and discover connections between different topics or publications The feature is currently in beta development phase and may have limitations.   How to Get Access? This beta release is currently available only to a limited number of users. To request access: Visit our Signup Page  Complete the form (< 2 minutes) We'll notify you if you've been selected for the beta program with instructions to login. We'll be rolling out access starting towards end of June 2025, so we encourage you to sign up promptly if you're interested.   Have Questions? Visit the FAQs section or contact us for additional information. - The Mobilus Team
Service Notice
[ARCHIVED] Attn.: System maintenance @ 6 PM ET, April 15, 2025
Last updated: April 16, 2025, 09.11 AM ET Date posted (original message): April 15, 2025, 12.10 PM ET UPDATE: The maintenance work has been completed and the website is back up and running again. Thank you for your patience. ORIGINAL MESSAGE: Please note that this evening beginning at 6pm ET, we will be performing network maintenance on pieces of the core network infrastructure. We expect this work to last for 1 hour. During this period, access to Mobilus may be impacted and the site may be unreachable during this time.  We will update once the maintenance activities have been completed. - The Mobilus team
Service Notice
[ARCHIVED] Experience WCX for Free—Expo Pass + Keynote Insights!
Join us at WCX 2025, where the future of mobility takes center stage! Get your FREE Expo Pass to explore groundbreaking technology, connect with industry leaders, and hear from visionary keynote speakers from Woven by Toyota, Stellantis, and Intel Automotive. For more information, visit: wcx.sae.org
Service Notice
[Resolved] Service notice - System issues
Update: Issue has been resolved. Please reach out to CustomerService@sae.org if you have any questions. -- Hello, Please be aware that we are currently experiencing system issues / slowness on the platform, and our teams are working diligently to resolve the issue as quickly as possible.  We apologize for any inconvenience and appreciate your patience and understanding. Thank you for your continued support. Best regards, The Mobilus Team
Service Notice
[ARCHIVED] Counter Reports Issue - Fixed
Last updated: November 11, 2024 [LATEST UPDATE] The issue has been fixed and Counter reports are now accessible through the portal. Usage data until the previous month (i.e. October 2024) can be pulled in reports.  Useful links: FAQs: https://saemobilus.sae.org/help/counter-usage-reports Mobilus Minute video on Counter: https://www.youtube.com/watch?v=45s8S3ixURk Thank you for your patience and understanding. - The Mobilus team -- [PREVIOUS MESSAGE HISTORY] Original announcement: Please note that Counter Database Reports and Title Reports are currently experiencing technical issues, and our team is working on restoring all functionality as soon as possible. We have disabled usage data extraction, while we're looking into the issue.  If you need immediate access to usage reporting, please reach out to your SAE Mobilus sales representative. Thank you for your patience, and we apologize for the inconvenience.
Service Notice
[ARCHIVED] Important Notice: Sunset of Mobilus 3.0
[LATEST UPDATE]   The legacy version of Mobilus (Mobilus 3.0) has now been officially sunset. Thank you for your valuable feedback and continued support in helping to improve Mobilus. - The Mobilus team -- [PREVIOUS MESSAGE HISTORY] IMPORTANT UPDATE: Sunset of Mobilus 3.0 (legacy version) We would like to inform you of an important update regarding SAE Mobilus - As part of our ongoing commitment to enhancing your experience, the legacy version of the platform (Mobilus 3.0) will be phased out on October 31, 2024. The current website with the newly redesigned interface introduced back in April, featuring an intuitive interface, improved search capabilities, advanced search, and in-depth browsing capabilities, will continue to remain operational going forward to support your needs.   What You Need to Know: Last Day of Service (Mobilus 3.0): October 31, 2024 Content Access: You will retain access to all subscribed content through your institutional subscription. Personal Preferences Migration: While most settings tied to your Dasboard in Mobilus 3.0 (alerts, annotations, folders) will transfer over to the new platform, saved searches will not be retained and will need to be recreated in the new platform through your complimentary My Library account. Access the New Platform: Your institutional preferences around login (IP authentication, SSO, username/password) will be retained.   We appreciate your understanding during this transition. Thank you for your continued support. If you have any questions, please don’t hesitate to contact us. Answers to common questions / FAQs are accessible here. Best regards, The Mobilus Team SAE International
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Recent SAE Edge™ Research Reports

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Next-gen AI for Aerospace EngineeringEPR202501609/22/2025
Despite growing investments, the widespread adoption and scalable deployment of generative artificial intelligence (AI) remains a challenge due to data trustworthiness, regulatory uncertainty, interpretability, and ethical governance. The need to accelerate automation and maintain the human-in-the-loop demonstrates broader questions of responsibility and transparency. Next-gen AI for Aerospace Engineering investigates the transformative role of GenAI within aerospace engineering, examining its shift from conventional workflows toward more AI-driven solutions in design, manufacturing, and maintenance. It emphasizes GenAI’s emerging ability to automate repetitive mundane tasks, reduce design complexity, and optimize engineering pipelines. The report underscores the need for validation methods that must align AI-generated outputs with physics-informed models, integration with legacy engineering tools (e.g., computational fluid dynamics, finite element analysis, digital twins), and
Sustainable Circular Future Mobility: Environmental Impact of Next-gen VehiclesEPR202501509/22/2025
The next generation of mobility, driven by shared, driverless, connected, and electrified vehicles, holds strong potential to advance sustainability through lower emissions and improved resource efficiency. However, critical questions remain regarding their true environmental impact, including battery lifecycle management, material consumption, and circular manufacturing practices. Sustainable Circular Future Mobility: Environmental Impact of Next-gen Vehicles explores these unresolved issues, focusing on the shift from internal combustion to electric vehicles, supply chain challenges, regulatory gaps, and the operational realities of sustainable productization. It also critically examines the risks of greenwashing, the need for consistent standards, and the role of intersectoral collaboration—with energy, urban planning, information and communications technologies, and waste management sectors—in building resilient, scalable solutions. The report provides strategic recommendations and
Small, Mobile, and Autonomous Agricultural RobotsEPR202501208/13/2025
The automation of labor-intensive picking and planting operations is having an immediate impact in the agricultural indutry. In its simplest form, robotic automation can reduce the labor and soil disturbance while enabling organic soil cover and increasing species diversification through precision approaches to planting, weeding, and spraying. With this, pesticides and fertilizers can be applied in a more targeted way, and with machinery visiting fields more frequently, earlier and more targeted intervention can occur before pests become established. Small, Mobile, and Autonomous Agricultural Robots identifies issues that need to be resolved fo for this technology to thrive, including improving methods of acquiring and labeling training data to facilitate more accurate models for specific applications. It also discusses concepts such as general-purpose mechanical platforms for use as carriers of agricultural automation systems with high stability, positional accuracy, and variable
Safety Impacts of Active Safety and Driving Automation FeaturesEPR202501308/13/2025
Advanced technologies that assist the human driver or reduce (or even eliminate) the human driver’s role are becoming increasingly prevalent in new light-duty vehicles used by the general public. These technologies are divided between Active Safety features that monitor the human driver and vehicle motion and act intermittently to mitigate and avoid crashes, and Driving Automation features that assume some or all of the dynamic driving task from the human driver. Both types of technologies have the potential to reduce injuries and save lives by reducing the frequency and/or severity of crashes. Safety Impacts of Active Safety and Driving Automation Features addresses the current capabilities and future potential for Active Safety and Driving Automation features to reduce crash frequency and severity and provides an overview of the state of the industry for both types of features, including current deployments, trends, and anticipated rollouts. Gaps in knowledge, unsettled issues, and
Hybrid Data- and Physical Model-driven Safe and Intelligent Motion Planning and Control for Autonomous VehiclesEPR202501407/18/2025
Autonomous vehicle motion planning and control are vital components of next-generation intelligent transportation systems. Recent advances in both data- and physical model-driven methods have improved driving performance, yet current technologies still fall short of achieving human-level driving in complex, dynamic traffic scenarios. Key challenges include developing safe, efficient, and human-like motion planning strategies that can adapt to unpredictable environments. Data-driven approaches leverage deep neural networks to learn from extensive datasets, offering promising avenues for intelligent decision-making. However, these methods face issues such as covariate shift in imitation learning and difficulties in designing robust reward functions. In contrast, conventional physical model-driven techniques use rigorous mathematical formulations to generate optimal trajectories and handle dynamic constraints. Hybrid Data- and Physical Model-Driven Safe and Intelligent Motion Planning and
Product Assurance in the Age of Artificial IntelligenceEPR202501105/21/2025
Driven by the vast consumer marketplace, the electronics megatrend has reshaped nearly every sector of society. The advancements in semiconductors and software, originally built to serve consumer demand, are now delivering significant value to non-consumer industries. Today, electronics are making inroads into traditionally conservative, safety-critical sectors such as automotive and aerospace. In doing so, electronics—now further propelled by artificial intelligence—are disrupting the functional safety architectures of these cyber-physical systems. Electronics have created the world of cyber-physical systems, raising broader concerns about the broader category of product assurance. Product Assurance in the Age of Artificial Intelligence continues the work of previous SAE Edge Research Reports in examining open research challenges arising from this shift, particularly in automotive systems, as core electronic technologies (e.g., the combination of software and communications) have even
Edge Artificial Intelligence in Connected, Cooperative and Automated MobilityEPR202500905/20/2025
With many stakeholders involved, and major investments supporting it, the advancements in automated driving (AD) are undoubtedly there. Generally speaking, the motivation for advancing AD is driver convenience and road safety. Regarding the development of AD, original equipment manufacturers, technology start-ups, and AD systems developers have taken different approaches for automated vehicles (AVs). Some manufacturers are on the path toward stand-alone vehicles, mostly relying on onboard sensors and intelligence. On the other hand, the connected, cooperative, and automated mobility (CCAM) approach relies on additional communication and information exchange to ensure safe and secure operation. CCAM holds great potential to improve traffic management, road safety, equity, and convenience. In both approaches, there are increasingly large amounts of data generated and used for AD functions in perception, situational awareness, path prediction, and decision-making. The use of artificial
Leveraging Advanced Data Technologies for Smart Traffic ManagementEPR202500805/20/2025
The transportation industry is transforming with the integration of advanced data technologies, edge devices, and artificial intelligence (AI). Intelligent transportation systems (ITS) are pivotal in optimizing traffic flow and safety. Central to this are transportation management centers, which manage transportation systems, traffic flow, and incident responses. Leveraging Advanced Data Technologies for Smart Traffic Management explores emerging trends in transportation data, focusing on data collection, aggregation, and sharing. Effective data management, AI application, and secure data sharing are crucial for optimizing operations. Integrating edge devices with existing systems presents challenges impacting security, cost, and efficiency. Ultimately, AI in transportation offers significant opportunities to predict and manage traffic conditions. AI-driven tools analyze historical data and current conditions to forecast future events. The importance of multidisciplinary approaches and
Automated Vehicles and Infrastructure Enablers: Dedicated LanesEPR202500704/24/2025
Dedicated lanes provide a simpler operating environment for ADS-equipped vehicles than those shared with other roadway users including human drivers, pedestrians, and bicycles. This final report in the Automation and Infrastructure series discusses how and when various types of lanes whether general purpose, managed, or specialty lanes might be temporarily or permanently reserved for ADS-equipped vehicles. Though simulations and economic analysis suggest that widespread use of dedicated lanes will not be warranted until market penetration is much higher, some US states and cities are developing such dedicated lanes now for limited use cases and other countries are planning more extensive deployment of dedicated lanes. Automated Vehicles and Infrastructure: Dedicated Lanes includes a review of practices across the US as well as case studies from the EU and UK, the Near East, Japan, Singapore, and Canada. Click here to access the full SAE EDGETM Research Report portfolio.
Space-based Solar Power for Instantaneously Dispatchable Renewable Power on EarthEPR202500504/24/2025
Recent advances are reducing the cost of space launch, high specific power solar cells, and the production of satellite systems. Modular architectures with no moving parts and distributed power systems would minimize assembly and maintenance costs. Together, this may enable space-based solar power to provide decarbonized dispatchable power at a lower cost than equivalent technologies such as nuclear power stations. Space-based Solar Power for Instantaneously Dispatchable Renewable Power on Earth discusses the advances in emerging technologies, like thin film solar cells, reusable launch vehicles, and mass-produced modular satellite systems that would make economic space power feasible. Click here to access the full SAE EDGETM Research Report portfolio.

Latest Journal Issues

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Passenger Vehicle Systems
SAE International Journal of Passenger Vehicle Systems
Electrified Vehicles
SAE International Journal of Electrified Vehicles
Advances and Current Practices in Mobility
SAE International Journal of Advances and Current Practices in Mobility
Sustainable Transportation, Energy, Environment, & Policy
SAE International Journal of Sustainable Transportation, Energy, Environment, & Policy
Connected and Automated Vehicles
SAE International Journal of Connected and Automated Vehicles
Transportation Cybersecurity and Privacy
SAE International Journal of Transportation Cybersecurity and Privacy
Vehicle Dynamics, Stability, and NVH
SAE International Journal of Vehicle Dynamics, Stability, and NVH
Transportation Safety
SAE International Journal of Transportation Safety
Alternative Powertrains
SAE International Journal of Alternative Powertrains
Commercial Vehicles
SAE International Journal of Commercial Vehicles
Materials and Manufacturing
SAE International Journal of Materials and Manufacturing
Fuels and Lubricants
SAE International Journal of Fuels and Lubricants
Engines
SAE International Journal of Engines
Aerospace
SAE International Journal of Aerospace
Passenger Cars - Mechanical Systems
SAE International Journal of Passenger Cars - Mechanical Systems

Recent Books

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Pedestrian Accident ReconstructionR-59010/30/2025
As technology advances, so too must the methods we use to investigate and understand pedestrian collisions. Pedestrian Accident Reconstruction provides a much-needed update to the field—one that reflects the dramatic rise in digital evidence and the growing role of simulation in modern reconstructions. While earlier texts laid the foundation for understanding pedestrian impacts, they were written before the widespread use of video footage, onboard vehicle sensors, and powerful simulation software. This book addresses that shift. It introduces updated methods that incorporate event data recorders, surveillance video, dash cams, and advanced simulation tools like the PC-Crash multibody pedestrian model. These technologies allow for more precise, repeatable, and illustrative reconstructions than ever before. The book highlights when and how simulation can enhance an investigation—especially in complex scenarios such as roof vaults, sideswipes, or collisions that defy conventional
Composite Materials Handbook Volume 3 - Revision HR-64010/16/2025
The third volume of this six-volume compendium provides methodologies and lessons learned for the design, analysis, manufacture, and field support of fiber-reinforced, polymeric-matrix composite structures. It also provides guidance on material and process specifications and procedures for using the data that is presented in Volume 2. The information provided is consistent with the guidance provided in Volume 1, and is an extensive compilation of the current knowledge and experiences of engineers and scientists from industry, government, and academia who are active in composites. The Composite Materials Handbook, referred to by industry groups as CMH-17, is a six-volume engineering reference tool that contains over 1,000 records of the latest test data for polymer matrix, metal matrix, ceramic matrix, and structural sandwich composites. CMH-17 provides information and guidance necessary to design and fabricate end items from composite materials. It includes properties of composite
Beyond Compliance: Leveraging AS9100D and ISO9001:2015 Audit Findings for Continual ImprovementR-59210/10/2025
Beyond Compliance is more than just another quality management guide—it’s a powerful, practical roadmap for aerospace, defense, and manufacturing organizations committed to excellence through AS9100D and ISO 9001:2015 standards. Every year, thousands of companies face audits. And every audit reveals something: nonconformities, gaps, or hidden inefficiencies. These findings can be brushed aside—or they can become the spark for meaningful change. This book shows you how to choose the latter. Drawing on decades of real-world auditing, consulting, and industry experience, the author presents 137 real case studies—true stories from actual audits that uncover critical lessons and opportunities. Each scenario is designed to engage, educate, and equip you with practical insights you can apply immediately to your own processes. Beyond Compliance challenges the idea that audits are just about passing or failing. Instead, it presents a new mindset: audits are not the end—they're the beginning of
McLaren: The Engine Company, Second EditionR-58910/10/2025
McLaren: The Engine Company is the previously untold story of McLaren Engines-an American powerhouse founded in 1969 by Bruce McLaren and his partners to support the legendary McLaren Can-Am and Indy Car programs. From a modest facility in suburban Detroit came thunderous 8-liter Chevrolet V8s that carried McLaren's signature papaya-orange racecars to dominate the final years of Can-Am racing. The dyno rooms echoed with innovation, producing 1,000-horsepower turbo Offenhausers that twice put McLaren in Victory Lane at the Indianapolis 500 between 1972 and 1976. This updated second edition features newly added historical images and refined content that brings fresh clarity to the remarkable legacy of McLaren Engines. Though the core story remains the same, these updates enhance the reader's experience and provide richer visual context to the engineering feats described throughout. Inside, you'll explore how this unassuming shop on Eight Mile Road became a magnet for top manufacturers
Mobility Reimagined: My First Decade at the Crossroads of ChangeR-57310/09/2025
In Mobility Reimagined, Umar Zakir Abdul Hamid shares an unfiltered, deeply personal account of his first decade navigating the rapidly evolving automotive and mobility sectors. From engineering labs in Malaysia and Japan, to startup scenes in Southeast Asia and Finland, to boardrooms in Europe, keynote stages in China, and virtual standardization sessions with professionals in the US, Umar traces a career shaped by curiosity, courage, and a commitment to democratizing opportunity. As a brown Southeast Asian professional rising in an industry historically shaped by Western and East Asian leadership, Umar offers more than technical insight, he opens a window into what it takes to lead across borders, disrupt legacy systems, and redefine success on his own terms. This book is part strategy guide, part industry overview, and part leadership memoir. It speaks to young professionals, especially those from underrepresented backgrounds, offering hard-won lessons on global expansion, digital
Software Defined VehiclesR-59509/22/2025
Software Defined Vehicles This book provides a clear, in-depth introduction to the concept of software-defined vehicles (SDVs) and their role in the changing mobility ecosystem. It explores how software has become the core enabler of innovation, allowing manufacturers to deliver new features, safety functions, and comfort enhancements to their customers after a vehicle leaves the showroom floor. From advanced driver assistance systems (ADAS) to AI-powered co-pilots, SDVs are shifting the focus from hardware to dynamic, user-centric, service models that offer continuous software updates and upgrades. Software Defined Vehicles also delves into the broader societal and consumer shifts driving this change. Readers will gain insight into how new generations view transportation, how business models like Mobility as a Service (MaaS) are evolving, and why sustainability and flexibility now take precedence over traditional car ownership. Whether you're a technology professional, automotive
Sustainable and Affordable Mobility for All: Putting the Heart Back into TechnologyR-58608/14/2025
Sustainable and Affordable Mobility for All offers a bold, yet practical vision for the future of transportation. Drawing from deep technical expertise and global experience, Chris Borroni-Bird presents a transformative approach to the automotive industry, tackling critical issues like economic development, environmental sustainability, and universal access. This groundbreaking book explores how advanced technologies such as electric, autonomous, and connected vehicles can revolutionize not only personal mobility but also urban transport and public systems. It calls for a shift toward "right-sized" vehicles, designed to meet real-world needs without over-engineering. Borroni-Bird’s solutions are scalable and adaptable to both developed and developing markets, ensuring affordable and sustainable mobility for all. With insights from 30 years of rapid innovation, including ridesharing platforms and robotaxis, this book blends technology, human factors, and sustainability to inspire a
Metallic Materials Properties Development and Standardization (MMPDS) Handbook - 2025 - Volume IB-993_VOLUME108/13/2025
The Metallic Materials Properties Development and Standardization MMPDS-2025 supersedes MMPDS-24 and prior editions of the MMPDS Handbook as well as all editions of MIL-HDBK-5, Metallic Materials and Elements for Aerospace Vehicle Structures Handbook that were maintained by the U.S. Air Force. The last edition, MIL-HDBK-5J was cancelled by the U.S. Air Force in March 2006. This document contains design information on the mechanical and physical properties of metallic materials and joints commonly used in aircraft and aerospace vehicle structures. All information contained in this Handbook has been reviewed and approved using a standardized process. The development and ongoing maintenance process involves certifying agencies, including the FAA, DoD, and NASA, and major material suppliers and material users worldwide. The information and procedures in this Handbook are continuously reviewed and modified or removed as determined to be appropriate. With advances in materials and fastener
Metallic Materials Properties Development and Standardization (MMPDS) Handbook - 2025 - Volume IIB-993_VOLUME208/13/2025
Volume II publishes the framework for generating and analyzing the data so that material sponsors can generate the right data, knowing how it will be analyzed by the Battelle Memorial Institute. MMPDS-2025 Volume II Process Intensive Materials and Joining Technologies does not currently have any material properties, focusing on additive manufacturing of metallic materials. MMPDS-2025 Volume II focuses on non-conventional processes and will be published each year. Volume I: Conventional Materials and Joint Allowables.
Careers in Aerospace: A Student’s Guide to the Sky and BeyondR-56807/24/2025
Have you ever looked up and wondered how humans conquered the skies—and what lies beyond? This book requires no prior knowledge of math—just curiosity and a passion for discovery. From the Wright brothers’ 12-second flight in 1903 to spacecraft that reach the edge of our solar system, aerospace engineering has propelled us to new frontiers. It is the foundation of modern flight, blending physics, chemistry, biopharmaceuticals, mechanics, electronics, and communications to push the limits of speed, altitude, and exploration. In just over a century, we have progressed from envying birds to flying over three times the speed of sound, launching space shuttles, and venturing into the cosmos. The urge to explore is unstoppable, and the future promises even greater achievements. Whether you’re a curious spectator or an aspiring professional, this book offers an engaging introduction to the principles behind aviation and space travel. Understanding the fundamentals will deepen your

Recently Published

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SAE TOMORROW TODAY - AI and Digital Engineering for Safer Defense1354311/14/2025
Will the future of combat look like your smartphone? As the nature of warfare changes, new technology is driving smarter, faster decisions on the battlefield. BAE Systems is accelerating next-gen combat capability through Digital Engineering (DE), a data-driven approach that connects decades of real-world experience with advanced modeling, simulation, and virtual testing environments to design, build, and sustain defense platforms that stay ahead of evolving threats across land, sea, cyber and space. To learn more, we sat down with Dr. Adarsh Ayyar, Director of Technology, Combat Missions Systems, to explore how BAE Systems is harnessing AI and autonomous technologies to transform combat and keep soldiers out of harm?s way. We'd love to hear from you. Share your comments, questions and ideas for future topics and guests to podcast@sae.org. Don't forget to take a moment to follow SAE Tomorrow Today--a podcast where we discuss emerging technology and trends in mobility with the leaders
Patterson, Lori
Static Seal Test Fixture and ProcedureAS7982 (Current)11/13/2025
This SAE Aerospace Standard (AS) provides dimensions and procedures for a standardized test fixture used to evaluate the static performance of O-rings and other seal types in glands per AS4716 and AS5857.
AMS CE Elastomers Committee
2024–2025 Reviewers15-18-03-001911/13/2025
2024–2025 Reviewers
El-Sayed, Mohamed
Semiautomatic Headlamp Beam Switching DevicesJ565_202511 (Current)11/13/2025
This SAE Standard provides test procedures, performance requirements, and guidelines for semiautomatic headlamp beam switching (SHBSD) devices.
Road Illumination Devices Standards Committee
Low-Pressure Quick Connect Hose FittingsJ3275_202511 (Current)11/13/2025
This SAE Standard provides general and dimensional specifications for low-pressure quick connect hose fittings used in conjunction with hoses specified in SAE J20, SAE J30, and SAE J517 and utilized in fluid systems on mobile and stationary equipment. The fittings in this standard are compatible with SAE J2044. This document specifies hose fitting geometry. It does not specify fluid compatibility. This document shall be utilized as a procurement document only to the extent agreed upon by the manufacturer and user. Refer to SAE J517 for information on hose assemblies. SAE J1273 contains information on application factors affecting hose fittings, hose, and hose assemblies. The rated working pressure of a hose assembly comprising SAE J3275 fittings and SAE J20, SAE J30, and SAE J517 hoses shall not exceed the lower of the two working pressure rated values.
Non-Hydraulic Hose Committee
Hardness Testing of Elastomeric O-RingsAIR4738B (Current)11/13/2025
This SAE Aerospace Information Report (AIR) provides a general description of methods for hardness testing of O-rings including factors which affect precision and comparison of results with those obtained in standard tests.
AMS CE Elastomers Committee
A Guideline for Aerospace Platform Fiber Optic Training and Awareness Education Introduction to Aerospace Fiber Optics Technician, Quality Assurance Inspector, or Engineer Hands-on CompetenciesARP5602/8 (Current)11/12/2025
This document establishes training guidelines applicable to fiber optic technician, quality assurance, or engineer technical training for individuals involved in the manufacturing, installation, support, integration and testing of fiber optic systems. Applicable personnel include: Managers Engineers Technicians Trainers/Instructors Third Party Maintenance Agencies Quality Assurance Production
AS-3 Fiber Optics and Applied Photonics Committee
A Guideline for Aerospace Platform Fiber Optic Training and Awareness Education Aerospace Fiber Optics Engineer Knowledge CompetenciesARP5602/10 (Current)11/12/2025
This document establishes training guidelines applicable to fiber optics engineer technical training for individuals involved in the manufacturing, installation, support, integration and testing of fiber optic systems. Applicable personnel include: Managers Engineers Trainers/Instructors Third Party Maintenance Agencies Production
AS-3 Fiber Optics and Applied Photonics Committee
FITTING ASSEMBLY, CAP, HOLLOW END, ACORN, SHORT FLARELESSAS4694D (Current)11/12/2025
G-3, Aerospace Couplings, Fittings, Hose, Tubing Assemblies
2024–2025 Reviewers04-18-03-001911/12/2025
2024-2025 Reviewers
Yilmaz, Nadir
Letter from the Guest Editors13-06-03-001711/12/2025
Letter from the Guest Editors
He, Xin, Belgiorno, Giacomo, Joshi, Ameya
A Guideline for Aerospace Platform Fiber Optic Training and Awareness Education Aerospace Fiber Optics Technician Knowledge CompetenciesARP5602/7 (Current)11/12/2025
This document establishes training guidelines applicable to fiber optic technician technical training for individuals involved in the manufacturing, installation, support, integration and testing of fiber optic systems. Applicable personnel include: Managers Engineers Technicians Trainers/Instructors Third Party Maintenance Agencies Quality Assurance Production
AS-3 Fiber Optics and Applied Photonics Committee
A Guideline for Aerospace Platform Fiber Optic Training and Awareness Education Aerospace Fiber Optics Quality Assurance Knowledge CompetenciesARP5602/9 (Current)11/12/2025
This document establishes training guidelines applicable to fiber optic quality assurance technical training for individuals involved in the manufacturing, installation, support, integration and testing of fiber optic systems. Applicable personnel include: Managers Engineers Technicians Trainers/Instructors Third Party Maintenance Agencies Quality Assurance Production
AS-3 Fiber Optics and Applied Photonics Committee
A Guideline for Aerospace Platform Fiber Optic Training and Awareness Education Introduction to Aerospace Fiber Optics Installer Hands-on CompetenciesARP5602/6 (Current)11/12/2025
This document establishes training guidelines applicable to fiber optic installer technical training for individuals involved in the manufacturing, installation, support, integration and testing of fiber optic systems. Applicable personnel include: Managers Engineers Technicians Logisticians Trainers/Instructors Third Party Maintenance Agencies Quality Assurance Shipping Receiving Production Purchasing
AS-3 Fiber Optics and Applied Photonics Committee
Anodic Treatment of Titanium and Titanium Alloys, Solution pH 12.4 MaximumAMS2487C (Current)11/12/2025
This specification describes the engineering requirements for producing a non-powdery anodic coating on titanium and titanium alloys and the properties of such coatings.
AMS B Finishes Processes and Fluids Committee
A Guideline for Aerospace Platform Fiber Optic Training and Awareness Education Aerospace Fiber Optics Installer Knowledge CompetenciesARP5602/5 (Current)11/11/2025
This document establishes training guidelines applicable to fiber optic installer technical training for individuals involved in the manufacturing, installation, support, integration and testing of fiber optic systems. Applicable personnel include: Managers Engineers Technicians Trainers/Instructors Third Party Maintenance Agencies Quality Assurance Production
AS-3 Fiber Optics and Applied Photonics Committee
Research on Workshop Virtual Monitoring Technology Driven by Digital Model2025-99-012011/11/2025
In order to meet the demand for the transformation of traditional manufacturing industries into intelligent manufacturing, a virtual monitoring system for the production workshops of nuclear - key products has been built. There are problems such as poor environment, long distance and remote collaborative office in this production workshop, and managers lack information tools to master the workshop status in real time. In order to minimize the harm of nuclear radiation to the human body, in view of the problems of low transparency, poor real - time performance and low data integration in traditional two - dimensional forms, configuration software and video monitoring, a remote monitoring system for virtual workshops driven by digital models has been developed. This system realizes the remote dynamic display of real - time information in the workshop based on data collection and three - dimensional modeling technologies. Virtual monitoring technology improves the management efficiency of
Wu, Yiming, Chen, Rui, Li, Na
Research on Low-Power Control of Offshore Wind Sail Stabilization Devices Based on Single Pendulum Control Simulation2025-99-013111/11/2025
To tackle persistent operational instability and excessive energy consumption in marine observation platforms under wave-induced disturbances, this paper introduces a novel ultra-low-power stabilization system based on pendulum dynamics. The system employs an innovative mechanical configuration to deliberately decouple the rotation axis from the center of mass, creating controlled dynamic asymmetry. In this behavior, the fixed axis serves as a virtual suspension pivot while the camera payload functions as a concentrated mass block. This configuration generates intrinsic gravitational restoring torque, enabling passive disturbance attenuation. And its passive foundation is synergistically integrated with an actively controlled brushless DC motor system. During platform oscillation, embedded algorithms detect angular motion reversals. In addition, their detection triggers an instantaneous transition from motor drive to regenerative braking mode, and transition facilitates bidirectional
Zhang, Tianlin, Liu, Shixuan, Xu, Yuzhe
Research on Ship Network Security Situation Awareness and Defense Mechanism Based on Improved Spatiotemporal Attention and Deep Reinforcement Learning2025-99-012611/11/2025
With the development of ship intelligence, network security threats are increasing day by day. This paper proposes a ship network security situation awareness algorithm based on an improved spatiotemporal attention mechanism, and constructs a supporting defense mechanism. The algorithm accurately captures changes in network security situation through dynamic weight allocation and multi-scale feature extraction. In the experimental simulation, OMNeT++ is combined with SUMO to build a ship network simulation environment, and Maritime - CPS - Dataset and other data sets are used for testing. The algorithm in this paper is compared with ARIMA, LSTM, GRU and other algorithms. The results show that in terms of situation awareness accuracy, the algorithm in this paper reaches 95.6%, which is 27.8% higher than ARIMA, 12.3% higher than LSTM, and 10.1% higher than GRU respectively; the average response time of the defense mechanism is shortened to 2.3 seconds, which is 40% faster than the
Kong, Zeyu, Zhou, Bofei, Wan, Shiyao
STFCT: A Multi-Timescale Spatial-Temporal Transformer for Traffic Flow Prediction2025-99-011111/11/2025
Accurate traffic flow prediction plays a crucial role in modern transportation management systems, enabling extensive applications ranging from congestion warning to optimized route planning. While current approaches have achieved progress in specific areas, they continue to face challenges such as multi-scale dynamics and constrained spatiotemporal modeling capacity. Addressing these limitations, we introduce a innovative model termed the Spatial-Temporal Fusion Convolution Transformer (STFCT). This framework integrates periodic patterns and traffic characteristics via adaptive spatiotemporal embeddings to produce a unified representation capturing both spatial and temporal relationships. Our architecture incorporates a gating mechanism for dynamic spatiotemporal integration, along with a temporal convolution component to simultaneously capture both short- and medium-term patterns. Experimental results from three different traffic datasets reveal STFCT’s advantages over competing
Zhou, Junhao, Liu, Ting, Jiang, Yangwei
Optimization System of E-commerce Logistics Distribution Path Based on Data Analysis2025-99-010811/11/2025
With the rapid development of e-commerce, the logistics industry also presents new features such as multi-level, integrated upstream-downstream operations, increasingly perfect service quality and low logistics costs. The exponential growth in online transactions and consumer expectations for faster, more reliable deliveries intensifies the pressure on logistics systems. The last-mile service network refers to the logistics nodes that have direct contact with consumers, and its geographical location and quantity will directly affect the service level, cost and customer service mode of the distribution network. However, with the rapid growth in the number of online shoppers and their imbalance on the Internet, these factors have gradually become an important basis for influencing the layout of terminal outlets. This imbalance, coupled with dynamic urban traffic conditions, renders traditional distribution planning methods inadequate. Therefore, in the e-commerce environment, how to
Tong, Tong, Gu, Xuefei, Li, Lingxiao
Software Radio Based ASM Signal Ranging Delay Measurement System2025-99-012111/11/2025
In contemporary society, where Global Navigation Satellite Systems (GNSS) are utilised extensively, their inherent fragility gives rise to potential hazards with respect to the safety of ship navigation. In order to address this issue, the present study focuses on an ASM signal delay measurement system based on software defined radio peripherals. The system comprises two distinct components: a transmitting end and a receiving end. At the transmitting end, a signal generator, a first time-frequency synchronisation device, and a VHF transmitting antenna are employed to transmit ASM signals comprising dual Barker 13 code training sequences. At the receiving end, signals are received via software-defined radio equipment, a second time-frequency synchronisation device, a computing host, and a VHF receiving antenna. Utilising sliding correlation algorithms enables accurate time delay estimation. The present study leverages the high performance and low cost advantages of the universal
Li, Hao, Sun, Xiaowen, Wang, Tianqi, Zhou, Zeliang, Wang, Xiaoye
DriVE-Net: A Multi-Objective Framework for Generating Diverse, Realistic, and Hazard-Aware Driving Scenarios2025-99-013311/11/2025
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Xie, Dongxuan, Li, Dongyang, Zhang, Youkang, Zhao, Yingjie, Hong, Baofeng, Wang, Nan
PSF-Net: Uncertainty-Aware Fusion of TabPFN and SAINT for 5G Base-Station Electromagnetic Radiation Prediction2025-99-012711/11/2025
With more 5G base stations coming into play, making an accurate assessment of RF-EMF exposure currently faces increasing demand to check if they meet regulatory requirements and ensure people’s safety. We present here PSF-Net, a novel deep learning network by uniting TabPFN’s meta-learned prior knowledge and SAINT’s dual attention structure; its use makes it particularly suitable to deal with applications like prediction of downlink power density and radiation level classification under different conditions within various kinds of 5G cell. A major component in the design of this approach is an uncertainty-aware gating block that determines the optimal weighting for each model output—TabPFN or SAINT—based on the estimated prediction variance as quantified via Monte Carlo sampling during training or the prediction variance calculated using inference-time dropout. In addition, a residual multi-layer perceptron (MLP) is also included to extract refined fused features and maintain a steady
Zhang, Yanjin, Yu, Zefeng
Multi-Objective Optimization-Based Vehicle-Cargo Matching and Route Collaborative Decision Modeling2025-99-011911/11/2025
Aiming at the problem of efficiency loss caused by the independent optimization of traditional vehicle - cargo matching and route planning, this paper proposes a spatio - temporal collaborative optimization model. By constructing three - dimensional decision variables to describe the “vehicle - cargo - route” mapping relationship, a multi - objective mixed - integer programming model considering transportation costs, time - window constraints, and carbon emissions is established. An improved NSGA - II algorithm is designed to solve the Pareto optimal solution set, and the TOPSIS method is combined to achieve scheme optimization. Experiments show that the collaborative optimization model reduces the comprehensive cost by an average of 12.7% and the vehicle empty - running rate by 18.4% compared with the traditional two - stage method.
Yang, Meiru, Liu, Jian