Tind Technologies (Norway)
Hes-so: ArODES Open Archive (University of Applied Sciences and Arts Western Switzerland / Haute école spécialisée de Suisse occidentale / FH Westschweiz)Not a member yet
15764 research outputs found
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Le sentiment de solitude dans la population âgée migrante ::le cas de la ville de Lausanne
No full textA multi-scale CNN for transfer learning in sEMG-based hand gesture recognition for prosthetic devices
No full textAdvancements in neural network approaches have enhanced the effectiveness of surface Electromyography (sEMG)-based hand gesture recognition when measuring muscle activity. However, current deep learning architectures struggle to achieve good generalization and robustness, often demanding significant computational resources. The goal of this paper was to develop a robust model that can quickly adapt to new users using Transfer Learning. We propose a Multi-Scale Convolutional Neural Network (MSCNN), pre-trained with various strategies to improve inter-subject generalization. These strategies include domain adaptation with a gradient-reversal layer and self-supervision using triplet margin loss. We evaluated these approaches on several benchmark datasets, specifically the NinaPro databases. This study also compared two different Transfer Learning frameworks designed for user-dependent fine-tuning. The second Transfer Learning framework achieved a 97% F1 Score across 14 classes with an average of 1.40 epochs, suggesting potential for on-site model retraining in cases of performance degradation over time. The findings highlight the effectiveness of Transfer Learning in creating adaptive, user-specific models for sEMG-based prosthetic hands. Moreover, the study examined the impacts of rectification and window length, with a focus on real-time accessible normalizing techniques, suggesting significant improvements in usability and performance
POLYNORM - Dutch modular construction of the 1950s entirely made of steel sheet
No full textMaterial-saving lightweight construction systems for buildings were a recurring theme in the first half of the 20th century and still are today for reasons of sustainability. The construction system developed by NV POLYNORM in Holland after the Second World War fits well into this category of construction systems. With NV Ontwikkelingsmaatschappij POLYNORM, mechanical engineer Alexander Horowitz developed and industrialized a comprehensive construction system for residential buildings and warehouses. The versatile processing and use of steel sheet is characteristic of the system. Due to the little material thickness of the sheets, a surprisingly high material efficiency and a low total weight are achieved. Another important feature of the construction system is that it can be raised by means of dry construction method, which allows easy and fast assembly and complete disassembly of the buildings. The present work focuses on the hall construction of POLYNORM with a structure entirely made of folded steel sheets and the corresponding façade cladding
…Les néo-artisan·es du vivre-ensemble urbain
No full textDans le sillage de grands projets immobiliers émergent les « faiseurs·ses de quartier », professionnel·les à la croisée des chemins qui accompagnent l'installation des habitant·es et favorisent le lien social dans les nouveaux espaces urbains
Governing poverty and migration in European nation-states – keywords revisited
No full textThis article introduces a collaborative publication exploring the intricate interplay between poverty governance, migration control, and welfare provision. Adopting a ‘keywords’ approach, we investigate the terminology and concepts around which academic discussions revolve when addressing poverty and migration. Central to this examination is the figure of the ‘poor migrant’, whose experiences of inclusion and exclusion intersect along lines of race, gender, and legal status. Using an intersectional lens, the publication dissects key terms and concepts : Welfare State, Welfare Governance, Citizenship, Solidarity and Deservingness, Suspicion and Surveillance, Discipline, and Banishment. We thus aim to conceptualise and critically discuss the constant renegotiation of state power and the nation-state induced in ex/inclusionary aspects of welfare and migration policies and law. The contribution reveals how notions of belonging shape access to rights and services, particularly along racialized and classist lines. Moreover, it explores how migration policies exacerbate scrutiny and exclusion faced by non-citizen populations within contemporary welfare systems
Banishment
No full textBanishment concludes the keyword discussion by arguing that we can understand the exclusionary practices of welfare states as a politics of destitution, which ultimately leads to the banishment of unwanted individuals. It argues that banishment can be helpful as a conceptual lens through which to understand the purposeful strategies that render individuals deportable, whether citizens or non-citizens
Rechtbürgerliche Politik und ihr Einfluss auf die sozialepolitische Gesetzgebung in des Schweiz ::Drei illustrative Beispiele
No full textDesigning a data-driven survey system ::leveraging participants' online data to personalize surveys
No full textUser surveys are essential to user-centered research in many fields, including human-computer interaction (HCI). Survey personalization—specifically, adapting questionnaires to the respondents’ profiles and experiences—can improve reliability and quality of responses. However, popular survey platforms lack usable mechanisms for seamlessly importing participants’ data from other systems. This paper explores the design of a data-driven survey system to fill this gap. First, we conducted formative research, including a literature review and a survey of researchers (N = 52), to understand researchers’ practices, experiences, needs, and interests in a data-driven survey system. Then, we designed and implemented a minimum viable product called Data-Driven Surveys (DDS), which enables including respondents’ data from online service accounts (Fitbit, Instagram, and GitHub) in survey questions, answers, and flow/logic on existing survey platforms (Qualtrics and SurveyMonkey). Our system is open source and can be extended to work with more online service accounts and survey platforms. It can enhance the survey research experience for both researchers and respondents. A demonstration video is available here: https://doi.org/10.17605/osf.io/vedb
Towards usable checksums ::automating the integrity verification of web downloads for the masses
No full textInternet users can download software for their computers from app stores (e.g., Mac App Store and Windows Store) or from other sources, such as the developers' websites. Most Internet users in the US rely on the latter, according to our representative study, which makes them directly responsible for the content they download. To enable users to detect if the downloaded files have been corrupted, developers can publish a checksum together with the link to the program file; users can then manually verify that the checksum matches the one they obtain from the downloaded file. In this paper, we assess the prevalence of such behavior among the general Internet population in the US (N=2,000), and we develop easy-to-use tools for users and developers to automate both the process of checksum verification and generation. Specifically, we propose an extension to the recent W3C specification for sub-resource integrity in order to provide integrity protection for download links. Also, we develop an extension for the popular Chrome browser that computes and verifies checksums of downloaded files automatically, and an extension for the WordPress CMS that developers can use to easily attach checksums to their remote content. Our in situ experiments with 40participants demonstrate the usability and effectiveness issues of checksums verification, and shows user desirability for our extension
Extracting hotspots without a-priori by enabling signal processing over geospatial data
No full textThe proliferation of mobile devices equipped with internet connectivity and global positioning functionality (GPS) has resulted in the generation of large volumes of spatiotemporal data. This has led to the rapid evolution of location-based services. The anticipatory nature of these services, demand exploitation of a broader range of user information for service personalization. Determining the users' places of interest, i.e. hotspots is critical to understand their behaviors and preferences. Existing techniques to detect hotspots rely on a set of a-priori determined parameters that are either dataset dependent or derived without any empirical basis. This leads to biased results and inaccuracies in estimating the total number of hotspots belonging to a user, their shape and the average dwelling time. In this paper, we propose a parameter-less technique for extracting hotspots from spatiotemporal trajectories without any a-priori assumptions. We eliminate parameter dependence by treating trajectories as spatiotemporal signals and rely on signal processing algorithms to derive hotspots. We experimentally show that, our technique does not necessitate any spatiotemporal or behavior dependent bounds, which makes it suitable to extract hotspots from a larger variety of datasets and across users having disparate mobility behaviors. Our evaluation results on a real world dataset, show accuracy rates exceeding 80% and outperforms traditional clustering techniques used for hotspot detection