Drawing freehand sketches of mechanical components on multimedia devices for AI-based engineering modeling has become a new trend. However, its development is being impeded because existing works cannot produce suitable sketches for data-driven research. These works either generate sketches lacking a freehand style or utilize generative models not originally designed for this task resulting in poor effectiveness. To address this issue, we design a two-stage generative framework mimicking the human sketching behavior pattern, called MSFormer, which is the first time to produce humanoid freehand sketches tailored for mechanical components. The first stage employs Open CASCADE technology to obtain multi-view contour sketches from mechanical components, filtering perturbing signals for the ensuing generation process. Meanwhile, we design a view selector to simulate viewpoint selection tasks during human sketching for picking out information-rich sketches. The second stage translates contour sketches into freehand sketches by a transformer-based generator. To retain essential modeling features as much as possible and rationalize stroke distribution, we introduce a novel edge-constraint stroke initialization. Furthermore, we utilize a CLIP vision encoder and a new loss function incorporating the Hausdorff distance to enhance the generalizability and robustness of the model. Extensive experiments demonstrate that our approach achieves state-of-the-art performance for generating freehand sketches in the mechanical domain. Project page: https://mcfreeskegen.github.io .

An insect-like machine with six individually powered legs that was intended for the battlefield received millions in US government funding during the 1980s. The project to create a fleet of real-life AT-AT walkers from Star Wars started in 1981 at Ohio State University, as the military searched for ways to traverse rough terrain that wheeled vehicles couldn't manage. Called the Adaptive Suspension Vehicle (ASV), the bizarre vehicle was part of a decade-long project which was eventually scrapped after receiving a reported $1million a year from Darpa between 1981 and 1990. The fate of the ASV is a mystery, with nobody knowing whether it is in storage somewhere or was scrapped decades ago. Professors Robert McGhee and Kenneth Waldron at Ohio State University wrote a scientific paper explaining their project in 1986.

Inora is not claiming that the free version of the RAE Linear Regression software can solve complex data challenges. The linear regression is just an application of the generalized core Math Engine to that specific task (y mx b). Of course, the free version is limited to a 2-class task (finding what is line and what is not line). The Inora Math Engine is also capable of detecting and analyzing multiple patterns in any size data set. So, even though the free linear regression software is limited, it will demonstrate how the Math Engine core is different from traditional statistics, random sample and Least Squares approaches.