Results 51 to 60 of about 2,673,449 (302)
Agile Beyond Teams and Feedback Beyond Software in Automotive Systems [PDF]
In order to increase the ability to build complex, software-intensive systems, as well as to decrease time-to-market for new functionality, automotive companies aim to scale agile methods beyond individual teams. This is challenging, given the specifics of automotive systems that are often safety-critical and consist of software, hardware, and ...
arxiv +1 more source
Microstructure and Mechanical Properties of Titanium Alloys
Titanium and its alloys are widely used engineering materials within the aerospace, automotive, energy, and chemical industries [...]
Artur Shugurov
doaj +1 more source
A Virtual Reality Training System for Automotive Engines Assembly and Disassembly [PDF]
Automotive engine assembly and disassembly are common and crucial programs in the automotive industry. Traditional education trains students to learn automotive engine assembly and disassembly in lecture courses and then to operate with physical engines, which are generally low effectiveness and high cost.
arxiv
Documentation as Code in Automotive System/Software Engineering
Documentation as Code (DaC) is an approach that applies the principles of software development to the production of technical documentation. Using modern tools, DaC enables software engineers to treat documentation as a first-class citizen in the ...
Momcilo V. Krunic
doaj +1 more source
Boundary Objects and their Use in Agile Systems Engineering
Agile methods are increasingly introduced in automotive companies in the attempt to become more efficient and flexible in the system development. The adoption of agile practices influences communication between stakeholders, but also makes companies ...
Knauss, Eric+3 more
core +1 more source
An architecture for enabling A/B experiments in automotive embedded software [PDF]
A/B experimentation is a known technique for data-driven product development and has demonstrated its value in web-facing businesses. With the digitalisation of the automotive industry, the focus in the industry is shifting towards software. For automotive embedded software to continuously improve, A/B experimentation is considered an important ...
arxiv
Machine learning applications in automotive engineering: Enhancing vehicle safety and performance
In recent years, the automotive industry has witnessed a significant paradigm shift with the integration of Machine Learning (ML) techniques into various aspects of vehicle design and operation. This paper explores the burgeoning field of ML applications
Surajit Mondal, S. Goswami
semanticscholar +1 more source
Principle Guidelines for Safe Power Supply Systems Development
The relevance of safety applications within the automotive industry is increasing continuously, e.g. due to vehicle automation and decreasing relevance of mechanical backups.
Philipp Kilian+6 more
doaj +1 more source
Industrialization and population growth have significantly increased the demand for lightweight, high-strength materials for construction and automotive applications, ultimately increasing the demand for eco-friendly materials.
R. Patel, Anshul Yadav, J. Winczek
semanticscholar +1 more source
Integrated approach to NVH analysis in electric vehicle drivetrains
This paper presents an approach to noise, vibration and harshness (NVH) analysis suitable for electro-mechanical rotating systems, whereby both the electrical and mechanical sources of excitation are included and the response of the system is calculated.
Robert Holehouse+3 more
doaj +1 more source