@misc{12904, abstract = {{It is crucial to identify defective machine components in production to ensure quality. Some components generate heat when defective, so automating the inspection process with a thermal imaging camera can provide qualitative measurements. This work aims to use computer vision methods to locate these components in thermal images. Since there is currently no comparison of object detection and semantic segmentation algorithms for this use case, this study compares different architectures with the goal of localising these components for further defect inspection. Moreover, as there are currently no datasets for this use case, this study contributes a novel annotated dataset of thermal images of combine harvester components. The different algorithms are evaluated based on the quality of their predictions and their suitability for further defect inspection. As semantic segmentation and object detection cannot be directly compared with each other, custom weighted metrics are used. The architectures evaluated include RetinaNet, YOLOV8 Detector, DeepLabV3+, and SegFormer. Based on the experimental results, semantic segmentation outperforms object detection regarding the use case, and the SegFormer architecture achieves the best results with a weighted MeanIOU of 0.853. }}, author = {{Senke, Hanna and Sprute, Dennis and Büker, Ulrich and Flatt, Holger}}, booktitle = {{Forum Bildverarbeitung 2024 = Image Pocessing Forum 2024}}, editor = {{Längle, Thomas and Heizmann, Michael}}, isbn = {{978-3-7315-1386-5}}, keywords = {{industrial quality assurance, deep learning architectures, object localisation, Thermal images}}, location = {{Karlsruhe}}, pages = {{71--82}}, publisher = {{KIT Scientific Publishing}}, title = {{{Deep learning-based localisation of combine harvester components in thermal images}}}, doi = {{10.58895/ksp/1000174496-7}}, year = {{2024}}, } @misc{7696, abstract = {{Although an increasing amount of empirical research has been linked to the impact of management control and governance on corporate social responsibility (CSR) issues since the financial crisis of 2008/09, heterogeneous results have characterised this research field. Regarding the group level of corporate governance, the efficacy of board committees (e.g., audit, compensation or CSR committees) has been included in recent research designs. However, analyses of corporate governance at the individual level are related to the effects of top management members [e.g., chief executive officer (CEO), chief financial officer (CFO) or chief sustainability officer (CSO)] on CSR outcomes. This paper aims to convey a detailed understanding of sustainable management control's impact as CSR-related board expertise. In more detail, we focus on the influence of both CSR committees and CSOs on three CSR measures mainly analysed in empirical-quantitative research: (1) CSR reporting; (2) CSR assurance (CSRA); and (3) CSR performance. We motivate our analysis with increased relevance from practical, regulatory and research perspectives, and we employ a systematic literature review of the symbolic vs. substantive effects of sustainability-related board composition. Based on our theoretical model (legitimacy theory, stakeholder theory and upper-echelons theory), we selected 48 quantitative peer-reviewed empirical studies on this research topic. Our analysis shows that CSR committees positively influence CSR reporting and performance. Thus, there are indications that the implementation of a CSR committee is not a symbolic act, but instead substantively contributes to CSR activities. However, in light of inconclusive empirical research results and a lack of studies that have analysed CSO-related effects, a notable research gap has been identified. Moreover, we note the main limitations of prior research in this review and develop an agenda with useful recommendations for future studies.}}, author = {{Velte, Patrick and Stawinoga, Martin}}, booktitle = {{Journal of Management Control}}, issn = {{2191-477X}}, keywords = {{CSR committee, Chief sustainability officer (CSO), CSR reporting, CSR performance, CSR assurance, Board expertise}}, number = {{4}}, pages = {{333--377}}, publisher = {{Springer}}, title = {{{Do chief sustainability officers and CSR committees influence CSR-related outcomes? A structured literature review based on empirical-quantitative research findings}}}, doi = {{10.1007/s00187-020-00308-x}}, volume = {{31}}, year = {{2020}}, } @inproceedings{550, abstract = {{Additive Manufacturing (AM) technologies are increasingly used for final part production. Especially technologies for processing of metal, like Selective LaserMelting (SLM), arefocusedin this area. The shift from prototyping towards final part production results in enhanced requirements for repeatability and predictability of the part quality. Machine manufacturers offer process monitoring solutions for different aspects of the production process, like the powder bed surface, the melt pool, and the laser energy. Nevertheless, the significance of these systems is not fully proven and threshold values for the monitored process parameters have to be determined for each product individually. This impedes the development of suitable process control systems. The paper gives an overview ofexistingresearch approaches and available process monitoring systems for SLM and their applicability for predicting certain part characteristics. The existing solutions are evaluated based on own research results. Next, AM specific difficulties for the development of process control tools and possible solutions are discussed.}}, author = {{Huxol, Andrea and Villmer, Franz-Josef}}, booktitle = {{Production Engineering and Management}}, editor = {{Villmer, Franz-Josef and Padoano, Elio}}, isbn = {{978-3-946856-03-0}}, keywords = {{Additive manufacturing, Process capability, Process monitoring, Quality assurance, Final part production}}, location = {{Lemgo}}, number = {{1}}, pages = {{17--28}}, title = {{{Process Control for Selective Laser Melting - Opprtunities and Limitations}}}, year = {{2018}}, } @misc{7894, author = {{Stawinoga, Martin}}, booktitle = {{Umwelt-Wirtschafts-Forum : uwf ; die betriebswirtschaftlich-ökologisch orientierte Fachzeitschrift }}, issn = {{1432-2293 }}, keywords = {{Directive 2014/95/EU CSR-Directive-Implementation-Act Regulation Non-financial reporting Assurance of qualitative sustainability disclosures}}, number = {{25}}, pages = {{ 213–227}}, publisher = {{Springer Spektrum }}, title = {{{Die Richtlinie 2014/95/EU und das CSR-Richtlinie-Umsetzungsgesetz – Eine normative Analyse des Transformationsprozesses sowie daraus resultierender Implikationen für die Rechnungslegungs- und Prüfungspraxis}}}, doi = {{https://doi.org/10.1007/s00550-017-0463-6}}, year = {{2017}}, } @misc{7895, author = {{Velte, Patrick and Stawinoga, Martin}}, booktitle = {{Journal of Business Economics}}, issn = {{0044-2372}}, keywords = {{CSR assurance CSR reporting Stakeholder management Corporate governance Assurance level Assurance provider}}, pages = {{1017--1066}}, publisher = {{Springer}}, title = {{{Empirical research on corporate social responsibility assurance (CSRA): A literature review}}}, doi = {{10.1007/s11573-016-0844-2}}, volume = {{87}}, year = {{2017}}, } @inproceedings{4333, abstract = {{Most research in the field of ambient technology has been conducted in Western cultural spheres. In this paper, we want to explore potential approaches designers might take towards ambient systems in Asian contexts. We particularly aim at exploring the role of “ambience” in the development of such systems and analyzing how aesthetic factors vary depending on culture. We observed that efficiency and environmental factors influence design decisions and serve as feedback on smart technologies.}}, author = {{Kaiying, Cindy Lin and Plewe, Daniela Alina and Röcker, Carsten}}, booktitle = {{6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015) and the Affiliated Conferences, AHFE 2015}}, editor = {{Ahram, Tareq and Karwowski, Waldemar and Schmorrow, Dylan}}, keywords = {{Aesthetic intelligence, Ambient intelligence, Smart home, Assurance, China}}, location = {{Las Vegas, USA}}, pages = {{2155--2161}}, publisher = {{Elsevier}}, title = {{{The Ambience of Ambient Intelligence: Will Cultural, Social and Environmental Differences Lead to Localised Ambient Systems? }}}, doi = {{10.1016/j.promfg.2015.07.355}}, volume = {{3}}, year = {{2015}}, }