Blar i Fakultet for ingeniør- og naturvitskap / Faculty of Engineering and Science på dokumenttype "Chapter"
Viser treff 1-20 av 35
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AUV Pipeline Following using Reinforcement Learning
(Chapter, 2010)This paper analyzes the application of several reinforcement learning techniques for continuous state and action spaces to pipeline following for an autonomous underwater vehicle (AUV). Continuous space SARSA is compared ... -
The concept of learning in virtual reality in the context of tunnel fire evacuation knowledge
(Chapter; Peer reviewed, 2021)This paper aims to explore how and what kind of learning is emphasized in the use of virtual reality to develop fire evacuation knowledge among participants. Experiences from several large tunnel fires in Norway highlight ... -
Criminal justice and detention
(Chapter; Peer reviewed; Peer reviewed, 2019)This chapter evaluates the implementation of the UN Convention on the Rights of the Child (Articles Art. 37 and 40) in the policy and practice of detention of children within the Norwegian criminal justice system. It covers ... -
Crowdfunding in the Cultural Industries
(Chapter; Peer reviewed, 2020)Cultural production has stood at the forefront of crowdfunding adoption representing some of the first crowdfunding campaigns on record. This development emerged as part of comprehensive value chain reconfigurations in the ... -
Crowdfunding in the Cultural Industries
(Chapter, 2020)Cultural production has stood at the forefront of crowdfunding adoption representing some of the first crowdfunding campaigns on record. This development emerged as part of comprehensive value chain reconfigurations in the ... -
Crowdfunding Sustainability
(Chapter, 2020)The chapter focuses on using crowdfunding for financing sustainable projects, that is projects aiming to extend their goal beyond market success and provide benefit to the larger part of society. The chapter discusses the ... -
A Data-Driven Security Game to Facilitate Information Security Education
(Chapter, 2019)Many universities have started to educate students on how to develop secure software and systems. One challenge of teaching information security is that the curriculum can easily be outdated, because new attacks and ... -
Different E-learning Paradigms - a Survey
(Chapter, 2007-10-28)At the beginning of this decade a new Learning Management System(LMS)was developed at Bergen University College as a continuation of its for-runners. This system has been a great commercial succcessw with the foundation ... -
Education model for future
(Chapter, 2023)The modern work environment requires many new abilities. Hence, there are often called 21st-century skills. It can be caused to the increasingly common use of digital tools or by more and more individualization (fitting) ... -
Field trials of two 802.11 residual bandwidth estimation methods
(Chapter, 2006)Ad hoc networks have attracted much attention due to their decentralized architecture and potential mobility. The latter promise has sparked research aimed towards routing and quality of service (QoS) admission schemes. ... -
Fingerprint identification – a support vector machine approach
(Chapter, 2010)In this work a hybrid technique for classification of fingerprint identification has been developed to decrease the matching time. For classification a Support Vector Machine is described and used. Automatic Fingerprint ... -
Hardware-Assisted Online Data Race Detection
(Chapter; Peer reviewed, 2021)Dynamic data race detection techniques usually involve invasive instrumentation that makes it impossible to deploy an executable with such checking in the field, hence making errors difficult to debug and reproduce. This ... -
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection
(Chapter; Peer reviewed, 2023)Providing online adaptive lightweight time series anomaly detection without human intervention and domain knowledge is highly valuable. Several such anomaly detection approaches have been introduced in the past years, but ... -
Inertial Human Motion Estimation for Physical Human-Robot Interaction Using an Interaction Velocity Update to Reduce Drift
(Chapter, 2018)Robots used for physical human-robot interaction (pHRI) are currently advancing from being simple stand-alone manipulators passing tools or parts to human collaborators to becoming autonomous co-workers that continuously ... -
A Landform Evolution Model for the Mannen Area in Romsdal Valley, Norway
(Chapter, 2020)The Quaternary geology of western Norway’s landscape is the result of glacial and post-glacial sedimentation and erosional processes, a significant sea-level drop and high rock-slope failure activity. All these processes ... -
Lip Height Effects in Quadrangular Steel Containers
(Chapter, 2019)The reduction in the mass-loss rate as a function of lip height is investigated through 90 experiments with hydrocarbon pool fires in quadrangular containers of size 10 cm, 20 cm, and 30 cm. The results show a reduction ... -
MC/DC Test Cases Generation Based on BDDs
(Chapter; Peer reviewed, 2021)We present a greedy approach to test-cases selection for single decisions to achieve MC/DC-coverage of their Boolean conditions. Our heuristics take into account “don’t care” inputs through three-valued truth values that ... -
A ML-Based Stock Trading Model for Profit Predication
(Chapter, 2021)This paper uses a new convolutional neural network framework to collect data on leading indicators including historical prices and their futures and options, and use arrays as the input map of the CNN framework for stock ... -
A Model Based Slicing Technique for Process Mining Healthcare Information
(Chapter, 2020)Process mining is a powerful technique which uses an organization’s event data to extract and analyse process flow information and develop useful process models. However, it is difficult to apply process mining techniques ... -
Multi-objective Search for Model-based Testing
(Chapter; Peer reviewed, 2020)This paper presents a search-based approach relying on multi-objective reinforcement learning and optimization for test case generation in model-based software testing. Our approach considers test case generation as an ...