Browsing Scientific Publications in Engineering Sciences by Title
Now showing items 1-20 of 741
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3D Sensor Placement and Embedded Processing for People Detection in an Industrial Environment
(Doctoral Dissertations at the University of Agder; no. 433, Doctoral thesis, 2023)At a time when autonomy is being introduced in more and more areas, computer vision plays a very important role. In an industrial environment, the ability to create a real-time virtual version of a volume of interest ... -
A computational method to optimal control of a wind turbine system using wavelets
(Chapter; Peer reviewed, 2011)This paper deals with a computational optimization approach to the problem of state-feedback control design for a wind turbine system. The first step of the study is to develop a reduced order model for the system by ... -
A Damage Identification Approach for Offshore Jacket Platforms Using Partial Modal Results and Artificial Neural Networks
(Journal article; Peer reviewed, 2018)This paper presents a damage identification method for offshore jacket platforms using partially measured modal results and based on artificial intelligence neural networks. Damage identification indices are first proposed ... -
A data-based approach for modeling and analysis of vehicle collision by LPV-ARMAX models
(Journal article; Peer reviewed, 2013)Vehicle crash test is considered to be the most direct and common approach to assess the vehicle crashworthiness. However, it suffers from the drawbacks of high experiment cost and huge time consumption. Therefore, the ... -
A fast Logdet divergence based metric learning algorithm for large data sets classification
(Journal article; Peer reviewed, 2014)Large data sets classification is widely used in many industrial applications. It is a challenging task to classify large data sets efficiently, accurately, and robustly, as large data sets always contain numerous instances ... -
A filtering algorithm for maneuvering target tracking based on smoothing spline fitting
(Journal article; Peer reviewed, 2014)Maneuvering target tracking is a challenge. Target's sudden speed or direction changing would make the common filtering tracker divergence. To improve the accuracy of maneuvering target tracking, we propose a tracking ... -
A formal proof of the e-optimality of discretized pursuit algorithms
(Journal article; Peer reviewed, 2015) -
A frequency compensation algorithm of four-wheel coherence random road
(Journal article; Peer reviewed, 2013)The road surface roughness is the main source of kinematic excitation of a moving vehicle, which has an important influence on vehicle performance. In recent decades, random road models have been widely studied, and a ... -
A fuzzy logic approach to modeling a vehicle crash test
(Journal article; Peer reviewed, 2012)This paper presents an application of fuzzy approach to vehicle crash modeling. A typical vehicle to pole collision is described and kinematics of a car involved in this type of crash event is thoroughly characterized. The ... -
A knowledge-based master model approach exemplified with jet engine structural design
(Journal article; Peer reviewed, 2017) -
A Learning Automaton-based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids
(Journal article; Peer reviewed, 2017)In this paper, we consider the problem of scheduling shiftable loads, over multiple users, in smart electrical grids. We approach the problem, which is becoming increasingly pertinent in our present energy-thirsty society, ... -
A mahalanobis hyperellipsoidal learning machine class incremental learning algorithm
(Journal article; Peer reviewed, 2014)A Mahalanobis hyperellipsoidal learning machine class incremental learning algorithm is proposed. To each class sample, the hyperellipsoidal that encloses as many as possible and pushes the outlier samples away is trained ... -
A mixed 0-1 linear programming approach to the computation of all pure-strategy nash equilibria of a finite n -person game in normal form
(Journal article; Peer reviewed, 2014)A main concern in applications of game theory is how to effectively select a Nash equilibrium, especially a pure-strategy Nash equilibrium for a finite n -person game in normal form. This selection process often requires ... -
A mutual GrabCut method to solve co-segmentation
(Journal article; Peer reviewed, 2013)Co-segmentation aims at segmenting common objects from a group of images. Markov random field (MRF) has been widely used to solve co-segmentation, which introduces a global constraint to make the foreground similar to each ... -
A new population of terrestrial gamma-ray flashes in the RHESSI data
(Journal article; Peer reviewed, 2015) -
A new tool for the assessment of the development of students' mathematical competencies
(Chapter; Peer reviewed, 2018) -
A novel active contour model for unsupervised low-key image segmentation
(Journal article; Peer reviewed, 2013)Unsupervised image segmentation is greatly useful in many vision-based applications. In this paper, we aim at the unsupervised low-key image segmentation. In low-key images, dark tone dominates the background, and gray ... -
A novel data-driven fault diagnosis algorithm using multivariate dynamic time warping measure
(Journal article; Peer reviewed, 2014)Process monitoring and fault diagnosis (PM-FD) has been an active research field since it plays important roles in many industrial applications. In this paper, we present a novel data-driven fault diagnosis algorithm which ... -
A novel evaluation model for hybrid power system based on vague set and Dempster-Shafer evidence theory
(Journal article; Peer reviewed, 2012)Because clean energy and traditional energy have different advantages and disadvantages, it is of great significance to evaluate comprehensive benefits for hybrid power systems. Based on thorough analysis of important ... -
A novel identification method for generalized T-S fuzzy systems
(Journal article; Peer reviewed, 2012)In order to approximate any nonlinear system, not just affine nonlinear systems, generalized T-S fuzzy systems, where the control variables and the state variables, are all premise variables are introduced in the paper. ...