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Standard

Steel, Corrosion- and Heat-Resistant, Bars, Wire, Forgings, Mechanical Tubing, and Stock for Forging and Heading, 15Cr - 25.5Ni - 1.2Mo - 2.1Ti - 0.006B - 0.30V (Alloy A286), Consumable Electrode Remelted, 1650 °F (899 °C) Solution Heat Treated

2024-04-10
CURRENT
AMS5734L
This specification covers a corrosion- and heat-resistant steel in the form of bars, wire, forgings, mechanical tubing up to 5.00 inches (127 mm), inclusive, in nominal diameter or least distance between parallel sides (thickness), and stock for forging or heading.
Standard

Rings, Retaining – Spiral Wound, Uniform Section Corrosion and Heat Resistant, UNS S66286

2024-04-10
CURRENT
AS4299B
This procurement specification covers retaining rings of the spiral wound type with uniform rectangular cross-section, made of a corrosion and heat resistant age hardenable iron base alloy of the type identified under the Unified Numbering System as UNS S66286, work strengthened and heat treated to a tensile strength of 185 to 240 ksi at room temperature.
Technical Paper

Research on Vehicle Type Recognition Based on Improved YOLOv5 Algorithm

2024-04-09
2024-01-1992
As a key technology of intelligent transportation system, vehicle type recognition plays an important role in ensuring traffic safety,optimizing traffic management and improving traffic efficiency, which provides strong support for the development of modern society and the intelligent construction of traffic system. Aiming at the problems of large number of parameters, low detection efficiency and poor real-time performance in existing vehicle type recognition algorithms, this paper proposes an improved vehicle type recognition algorithm based on YOLOv5. Firstly, the lightweight network model MobileNet-V3 is used to replace the backbone feature extraction network CSPDarknet53 of the YOLOv5 model. The parameter quantity and computational complexity of the model are greatly reduced by replacing the standard convolution with the depthwise separable convolution, and enabled the model to maintain higher accuracy while having faster reasoning speed.
Technical Paper

Research on Garbage Recognition of Road Cleaning Vehicle Based on Improved YOLOv5 Algorithm

2024-04-09
2024-01-2003
As a key tool to maintain urban cleanliness and improve the road environment, road cleaning vehicles play an important role in improving the quality of life of residents. However, the traditional road cleaning vehicle requires the driver to monitor the situation of road garbage at all times and manually operate the cleaning process, resulting in an increase in the driver 's work intensity. To solve this problem, this paper proposes a road garbage recognition algorithm based on improved YOLOv5, which aims to reduce labor consumption and improve the efficiency of road cleaning. Firstly, the lightweight network MobileNet-V3 is used to replace the backbone feature extraction network of the YOLOv5 model. The number of parameters and computational complexity of the model are greatly reduced by replacing the standard convolution with the deep separable convolution, which enabled the model to have faster reasoning speed while maintaining higher accuracy.
Standard

Nickel Wire and Ribbon 99Ni

2024-04-01
CURRENT
AMS5555G
This specification covers a nickel in the form of round wire and rectangular ribbon.
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