There are few widely acknowledged quality standards for research practice, and definitions of what constitutes good research. The overall aim was therefore to describe research, then use this description develop a model practice define concepts related its quality. primary objective explore such create multidisciplinary understanding the generic dimensions practice. Eight concept modelling working seminars were conducted. A graphic representation their relationships developed bridge gap...

In dialogical action research, the scientific researcher does not speak science or otherwise attempt to teach theory real-world practitioner, but instead attempts language of practitioner and accepts him as expert on his organization its problems. Recognizing difficulty that a can have in communicating across world practice, research offers, centerpiece, reflective one-on-one dialogues between researcher, taking place periodically setting removed from practitioner's organization. The...

Silicon carbide (SiC) based field effect gas sensors can be operated at very high temperatures. Catalytic metal-insulator-silicon (MISiC) Schottky diodes respond fast to a change between reducing and an oxidizing atmosphere, cylinder-specific combustion engine monitoring has been demonstrated. The have also suggested for high-temperature electronic nose applications. Car applications other harsh environments put strong requirements on the long-term stability of sensors. Here we review...

Abstract In the manufacturing industry, automatic quality inspections can lead to improved product and productivity. Deep learning-based computer vision technologies, with their superior performance in many applications, be a possible solution for inspections. However, collecting large amount of annotated training data deep learning is expensive time-consuming, especially processes involving various products human activities such as assembly. To address this challenge, we propose method...

This paper is about effectively utilizing synthetic data for training deep neural networks industrial parts classification, in particular, by taking into account the domain gap against real-world images. To this end, we introduce a dataset that may serve as preliminary testbed Sim-to-Real challenge; it contains 17 objects of six use cases, including isolated and assembled parts. A few subsets exhibit large similarities shape albedo reflecting challenging cases All sample images come with...

OCCUPATIONAL APPLICATIONSIn the context of Industry 5.0, our study advances manufacturing factory layout planning by integrating multi-objective optimization with nature-inspired algorithms and a digital human modeling tool. This approach aims to overcome limitations traditional methods, which often rely on engineers' expertise inputs from various functions in company, leading slow processes risk errors. By focusing three primary targets, methodology promotes objective efficient planning,...

There are few acknowledged multidisciplinary quality standards for research practice and evaluation. This study evaluates the face validity of a recently developed comprehensive model that includes 32 defined concepts based on four main areas (credible, contributory, communicable, conforming) describing indicators quality. Responses from 42 senior researchers working within 18 different departments at three major universities showed was-overall-valid. The vast majority believed all in to be...

The planning and design process of manufacturing factory layouts is commonly performed using digital tools, enabling engineers to define test proposals in virtual environments before implementing them physically. However, this approach often relies on the experience involved input from various cross-disciplinary functions, leading a time-consuming subjective with high risk human error. To address these challenges, new tools methods are needed. Industry 5.0 initiative aims further automate...

The starting point of this paper is the question: Which issues do students think are important when choosing a higher education institution, and how they related to factors taken into consideration in ranking institutions? aim identify rank parameters perceive as their place education. based on qualitative pre-study quantitative main study which authors examine what business school rankings. Our findings show that, by taking students’ perspective account, one can see that some used rankings...

We open up the black box of business angel risk mitigation within investments, exploring triggers that force angels to shift strategies overcome performance and relationship risks. Primary data were collected from 32 interviews with four matched angel–entrepreneur dyads. Extensive iterative theory cross-case comparisons reveal often over course an investment cycle due internal or external context-specific triggers, rather than factors associated a particular investor, entrepreneur,...

SUMMARY Using a scanning tunnelling microscope, voltage‐dependent imaging of antimony on the GaAs(110) surface has been performed. For negative sample voltages, images reflect dangling bonds. Depending magnitude voltage, either one or both Sb atoms in unit cell are seen. At positive voltage density surface‐states is observed to be greatly reduced compared voltages. The results analysed within context simple tight‐binding model for one‐dimensional biatomic chain.

This research examined (1) to what extent a conceptual model derived from into advanced manufacturing technology (AMT) implementations offers explanatory insight for public sector organisation implementing service technology, and (2) how, if at all, the experiences of specific implementation (the digital news production Swedish State Broadcaster (SVT)) suggest modifications/extensions AMT-based model. The generated three conclusions. First, synthesising extant private AMT literature produced...

Frequent changes regarding products, processes, and technologies require the manufacturing systems control to be inexpensive, flexible, easy re-configure. The major aim of research presented in this paper is define a generic reference architecture that supports design implementation highly flexible control-systems for cells. Based on analyses two machining cells, preliminary version such an has been developed. main features are: (1) modular structure with one module each resource cell, (2)...

Factory layouts are frequently planned and designed in virtual environments, based on the experience of layout planner. This planning design process depends information from several cross-disciplinary activities performed by functions experts, e.g., product development, manufacturing planning, resource descriptions, ergonomics, safety. Additionally, planner also needs to consider applicable rules regulations. experience-based manual approach plan factory layouts, considering a multitude...

This paper presents an approach to automatic surface defect detection by a deep learning-based object method, particularly in challenging scenarios where defects are rare, i.e., with limited training data. We base our on model YOLOv8, preceded few steps: 1) filtering out irrelevant information, 2) enhancing the visibility of defects, namely brightness contrast, and 3) increasing diversity data through augmentation. evaluated method industrial case study crown wheel inspection detecting...

Planning and designing factory layouts are frequently performed within virtual environments, relying on inputs from various cross-disciplinary activities e.g., product development, manufacturing process planning, resource descriptions, ergonomics, safety. The success of this heavily relies the expertise practitioners performing task. Studies have shown that layout planning often hinges practitioners’ knowledge interpretation current rules requirements. As there is significant variability in...