The rapid urbanization and industrial growth have increased the demand in construction, maintenance, and infrastructure, leading to significant advancements in aerial work vehicle technology. This study focuses on the structural performance of ultra-high-strength steel plates of varying thicknesses used in telescopic booms, which is a critical component of aerial work vehicles. This study aims to address the cost issues associated with the previously used 5mm thick plates by evaluating the structural integrity of thinner plates. Using finite element analysis (FEA), the study analyzes stress and displacement for different thicknesses, specifically targeting the first boom segment, which bears the most load. The results indicate that while 3mm and 3.2mm thick plates are unsuitable due to buckling, the 4mm thick plate meets safety criteria with a safety factor of 2.51 and reduces costs by over 20%. By using 4mm thick ultra-high-strength steel for the first boom segment is cost-effective, providing structural integrity and an applicable solution for aerial work vehicle manufacturers.

In this article, to solve the problems about obsolescence of parts and unable to driving turret when internal components are failure, the DC-DC boost converter in the gun/turret drive system of mobile weapon was improved. The power converting circuit in converter is changed by applying the latest components, and the control circuit is changed from analog to digital. Also, the power converting circuits were modularized in three parallel so that it could be driven even when some components failed. The improved DC-DC boost converter secured stability such as converting to voltage in a linear manner in the entire section from the start of boosting to the end. Also, through the modular configuration, turret driving system can operates when some components failed.

In this study, we addressed the prevention of fire extinguishing device malfunction caused by noise in the fire detector of automatic fire extinguishing devices applied to mobile equipment such as armored vehicles and tanks. The automatic fire extinguishing system consists of a fire detection unit, an automatic control unit, and a fire suppression unit. In the case of a fire detector, it is a major component of the fire detection unit. Even though no fire occurred during operation in the field, a number of fire extinguisher sprays occurred, and the malfunction of the fire detector, which is a fire detection unit, was reproduced. The cause was identified as noise in the fire detector connector due to vibration and shock that may occur during operation of the mobility equipment. In order to solve this problem, noise generated momentarily from a fire detector is treated as an exception, and when a fire signal is transmitted from the fire detector to the automatic control unit for more than a certain period of time, Software has been improved to enable fire extinguishers to operate. This study analyzed the causes of malfunctions in automatic fire extinguishing devices, which are components of mobile equipment, and derived improvement measures to improve the reliability of automatic fire extinguishing devices.

Advanced technoloigy, according to the development of science, is also applied to weapons systems to prepare for future battles. But the emergence of new technologies leads to DMSMS(Diminishing Manufacturing Source and Material Shortage) because it brings a short life cycle of parts. In particular, DMSMS frequently appear in electronic parts with a short launch cycle for new products. The life support system of K2MBT(Main Battle Tank) is a key functional item related to crew survivability and convenience. Recently, various parts have been cut off on the life support system, requiring a redesign of the Control Box. The K2MBT is not only central to domestic production but also plays a key role in export projects to countries like Poland, making continuous production necessary. This study aimed to ensure the sustainability of component production and reduce maintenance costs by redesigning the control box.

Onboard truck scales can accurately measure payload under static conditions. However, their performance is limited in accounting for dynamic environments encountered during driving, leading to inaccuracies in load estimation under real-world conditions. This study employs TruckCaliber, a dynamic state measurement system, to estimate real-time vehicle loads. Fusion sensor modules were installed on leaf spring suspensions and vehicle frames to collect tilt and IMU data. The system was implemented on a commercial truck, and driving tests were conducted with varying payloads. The analysis focused on curved sections under different dynamic conditions.

The lane designation and the bus-only lane system for traffic speed and road safety are difficult to crack down on, and for this purpose, crackdown methods using image recognition technologies are being studied. Existing studies require continuous learning or additional equipment, and it is difficult to classify combined vehicles such as vans and pickup trucks. Therefore, in this study, YOLO and EasyOCR were mixed to classify combined vehicles through vehicle type symbols. For combined vehicles, higher accuracy was shown than classification using YOLO. Due to the nature of Hangul, the accuracy was slightly lowered because the OCR was not accurately recognized, but if it is used with the existing YOLO classification, high accuracy of crackdown will be possible.