High Points Recognition Method of Scraped Surface Based on Background Subtraction
Using computer vision library OpenCV, a method of automatic recognition high points of scraped workpiece surface is presented. The image is dealt with by background subtraction, Median filtering, morphological processing, image negates, contour finding and drawing contours. In order to accurately and efficiently recognize the high-point contours and mark its center positions, mathematical morphology and specific processing function were used.
Investigation into Hand Scraping: A Microanalysis
Hand scraping is a manual surface finishing process that, despite its low productivity and high cost, is still applied in many industries because of its advantages concerning accuracy and tribology. In the presented microanalysis forces, movement patterns and tool orientation of individual hand scraping strokes were measured using a test stand, specifically designed for this purpose. It utilizes a camera, a three dimensional dynamometer, and an inertial measurement unit (IMU). The results show the basic characteristics of hand scraping. Typical courses of relevant quantities like cutting force, passive force, clearance, and directional angle are shown. In addition, the movement pattern of the tool during individual scraping strokes is analyzed. This research aims to contribute to a later implementation of automated scraping. The conducted research creates a base for future research regarding different scraping methods and achieved results.
MT and the Swiss language service providers: an analysis and training perspective
Switzerland is perceived as a highly multilingual country, with four national languages and a solid translation tradition in official, administrative and corporate settings, now even extended to include English. A research case study was set up to investigate the understanding and use of translation and language technologies by Swiss language service providers. This paper highlights some findings, particularly focusing upon the issue of translation automation processes in multilingual documentation production, with a view not only to spot preconceptions or knowledge gaps about MT, but also to 
suggest some training principles. We will argue that training activities ought to present MT systems as 
key aiding components of translator workbenches and, their output, as a valid linguistic resource for further human refining, if necessary. Moreover, in line with the idea that MT can be part and parcel of multilingual content production cycles, we will look at the interaction of MT with controlled language, CAT tools and terminology work. In sum, we will make explicit the usefulness of MT against the 
widespread prejudice that investing in MT does not return any benefits given the ‘low and hilarious quality of its output’, as quoted by most of the interviewees of our case study.