Search results for "VDP::Teknologi: 500::Industri- og produktdesign: 640"

showing 5 items of 5 documents

A Novel Adaptive Sliding Mode Controller for a 2-DOF Elastic Robotic Arm

2022

Collaborative robots (or cobots) are robots that are capable of safely operating in a shared environment or interacting with humans. In recent years, cobots have become increasingly common. Compliant actuators are critical in the design of cobots. In real applications, this type of actuation system may be able to reduce the amount of damage caused by an unanticipated collision. As a result, elastic joints are expected to outperform stiff joints in complex situations. In this work, the control of a 2-DOF robot arm with elastic actuators is addressed by proposing a two-loop adaptive controller. For the outer control loop, an adaptive sliding mode controller (ASMC) is adopted to deal with unce…

Control and OptimizationArtificial Intelligenceadaptive sliding mode controller; model reference adaptive controller; elastic robot arm; roboticsMechanical EngineeringVDP::Teknologi: 500::Industri- og produktdesign: 640Robotics
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Developing human/AI interactions for chat-based customer services: lessons learned from the Norwegian government

2022

Advancements in human/AI interactions led to smartification of public services via the use of chatbots. Here, we present findings from a clinical inquiry research project in a key public service organisation in Norway. In this project, researchers and practitioners worked together to generate insights on the action possibilities offered to human service agents by chatbots and the potential for creating hybrid human/AI service teams. The project sensitised service agents to discover affordances based on their actual practices, rather than on the predefined use of chatbots. The different affordances identified can be useful for practitioners who design and deploy chatbot-based services. The a…

Library and Information SciencesVDP::Teknologi: 500::Industri- og produktdesign: 640VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Information Systems
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Internet of Things with Deep Learning-Based Face Recognition Approach for Authentication in Control Medical Systems

2022

Internet of Things (IoT) with deep learning (DL) is drastically growing and plays a significant role in many applications, including medical and healthcare systems. It can help users in this field get an advantage in terms of enhanced touchless authentication, especially in spreading infectious diseases like coronavirus disease 2019 (COVID-19). Even though there is a number of available security systems, they suffer from one or more of issues, such as identity fraud, loss of keys and passwords, or spreading diseases through touch authentication tools. To overcome these issues, IoT-based intelligent control medical authentication systems using DL models are proposed to enhance the security f…

Support Vector MachineGeneral Immunology and MicrobiologyArticle SubjectDatabases FactualSARS-CoV-2Applied MathematicsAutomated Facial RecognitionInternet of ThingsCOVID-19General MedicineEquipment DesignVDP::Teknologi: 500::Industri- og produktdesign: 640General Biochemistry Genetics and Molecular BiologyPattern Recognition AutomatedDeep LearningVDP::Teknologi: 500::Bioteknologi: 590VDP::Teknologi: 500::Medisinsk teknologi: 620Modeling and SimulationHumansComputer SimulationAlgorithmsComputer Security
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Depth camera based dataset of hand gestures

2022

The dataset contains RGB and depth version video frames of various hand movements captured with the Intel RealSense Depth Camera D435. The camera has two channels for collecting both RGB and depth frames at the same time. A large dataset is created for accurate classification of hand gestures under complex backgrounds. The dataset is made up of 29718 frames from RGB and depth versions corresponding to various hand gestures from different people collected at different time instances with complex backgrounds. Hand movements corresponding to scroll-right, scroll-left, scroll-up, scroll-down, zoom-in, and zoom-out are included in the data. Each sequence has data of 40 frames, and there is a tot…

VDP::Teknologi: 500MultidisciplinaryVDP::Teknologi: 500::Industri- og produktdesign: 640Data in Brief
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Developments in the biomechanics and equipment of Olympic cross-country skiers

2018

Source at: http://doi.org/10.3389/fphys.2018.00976 Here, our aim was to describe the major changes in cross-country (XC) skiing in recent decades, as well as potential future developments. XC skiing has been an Olympic event since the very first Winter Games in Chamonix, France, in 1924. Over the past decades, considerable developments in skiing techniques and improvements in equipment and track preparation have increased skiing speed. In contrast to the numerous investigations on the physiological determinants of successful performance, key biomechanical factors have been less explored. Today’s XC skier must master a wide range of speeds, terrains, and race distances and formats (e.g., dis…

skiing techniqueVDP::Medisinske Fag: 700::Idrettsmedisinske fag: 850::Treningslære: 851performance; pole; poling force; ski; skiing technique; track preparationPhysiologyComputer sciencepoleContext (language use)track preparationskilcsh:PhysiologyVDP::Medical disciplines: 700::Sports medicine: 850::Exercise techniques: 85103 medical and health sciences0302 clinical medicineAeronauticsPhysiology (medical)Health SciencesVDP::Technology: 500::Industrial and product design: 640poling forceFlexibility (engineering)Cross countrylcsh:QP1-981030229 sport sciencesHälsovetenskaperVDP::Teknologi: 500::Industri- og produktdesign: 640Perspective030217 neurology & neurosurgeryperformance
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