Sökning: "human resource systems"

Visar resultat 1 - 5 av 166 uppsatser innehållade orden human resource systems.

1. 1. ANOMALY DETECTION FOR INDUSTRIAL APPLICATIONS USING COMMODITY HARDWARE

   Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :John Moberg; Jonathan Widén; [2023]
   Nyckelord :Computer Vision; Anomaly Detection; Single Board Computer; Embedded systems;

   Sammanfattning : As the Automotive industry is heavily regulated from a quality point of view, excellence in pro-duction is obligatory. Due to the fact that removing human error from humans is impossible, new solutions must be found. LÄS MER

3. 2. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition

   Master-uppsats, KTH/Mekatronik och inbyggda styrsystem

   Författare :Helgi Hrafn Björnsson; Jón Kaldal; [2023]
   Nyckelord :Recurrent Neural Networks; Long Short-Term Memory Networks; Embedded Systems; Human Activity Recognition; Edge AI; TensorFlow Lite Micro; Recurrent Neural Networks; Long Short-Term Memory Networks; Innbyggda systyem; Mänsklig aktivitetsigenkänning; Edge AI; TensorFlow Lite Micro;

   Sammanfattning : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. LÄS MER

4. 3. Generating Value From an Applicant Tracking System

   Kandidat-uppsats, Lunds universitet/Institutionen för informatik

   Författare :Alicia Hylander; Mathilda Hesslevik; [2023]
   Nyckelord :Applicant Tracking System; supplier-user relationship; system utilization; user satisfaction; Business and Economics;

   Sammanfattning : The purpose of this study is to gain insight in, and build upon existing research regarding, what can be done to generate user satisfaction and value of using Applicant Tracking Systems (ATS), from both a user and a supplier perspective. An assessment of previous literature illustrates several system success factors, also those specific for Human Resource Information Systems (HRIS), current system utilization issues, and the suppliers’ role in supplier-user relationships. LÄS MER

5. 4. Purchasing and digitalization in an era of turbulence

   Master-uppsats, Lunds universitet/Teknisk logistik

   Författare :Vishal Natesan; Emil Sarajlic; [2023]
   Nyckelord :Supplying; digitisation; digitalization; Artificial Intelligence; Turbulence; Delivery performance; Duni Group; Technology and Engineering;

   Sammanfattning : Abstract Title: Purchasing and digitalization in an era of turbulence Authors: Emil Sarajlic & Vishal Natesan Supervisor: Wilbert Baerwaldt, Director Sourcing and Value Chain at Duni AB Louise Bildsten, Department of Industrial Management & Logistics, Faculty of Engineering, Lund University Examiner: Jan Olhager, Department of Industrial Management & Logistics, Faculty of Engineering, Lund University Background: This research delves into the uncertainties and challenges encountered in global supply chain operations, exacerbated by unpredictable events such as the COVID-19 pandemic and the 2021 Suez Canal obstruction. These disruptions can lead to stock-outs, poor capacity utilization, and the need for expensive buffers. LÄS MER

7. 5. Context-aware Swedish Lexical Simplification : Using pre-trained language models to propose contextually fitting synonyms

   Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Emil Graichen; [2023]
   Nyckelord :automatic text simplification; lexical simplification; Swedish; BERT; GPT-3; evaluation dataset; synonymy;

   Sammanfattning : This thesis presents the development and evaluation of context-aware Lexical Simplification (LS) systems for the Swedish language. In total three versions of LS models, LäsBERT, LäsBERT-baseline, and LäsGPT, were created and evaluated on a newly constructed Swedish LS evaluation dataset. LÄS MER