Blar i Faculty of Engineering and Science på tittel
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A Non-Stationary Mobile-to-Mobile Channel Model Allowing for Velocity and Trajectory Variations of the Mobile Stations
(Journal article; Peer reviewed, 2017) -
A Non-Stationary Mobile-to-Mobile Channel Model Allowing for Velocity and Trajectory Variations of the Mobile Stations
(Journal article; Peer reviewed, 2017)In mobile-to-mobile (M2M) communication systems, both the transmitter and the receiver are moving with a certain velocity, which is usually assumed to be constant over time. However, in realistic propagation scenarios, the ... -
A non-WSSUS mobile-to-mobile channel model assuming velocity variations of the mobile stations
(Journal article; Peer reviewed, 2017)This paper aims to characterize the effects that the velocity variations of the mobile stations (MSs) produce on the correlation properties of non-stationary time-frequency (TF) dispersive mobile- to-mobile (M2M) fading ... -
A novel abstraction for swarm intelligence: particle field optimization
(Peer reviewed; Journal article, 2016)Particle swarm optimization (PSO) is a popular meta-heuristic for black-box optimization. In essence, within this paradigm, the system is fully defined by a swarm of “particles” each characterized by a set of features such ... -
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 Border Identification algorithm based on an “Anti-Bayesian” paradigm
(Lecture Notes in Computer Science;8047, Chapter; Peer reviewed, 2013)Border Identification (BI) algorithms, a subset of Prototype Reduction Schemes (PRS) aim to reduce the number of training vectors so that the reduced set (the border set) contains only those patterns which lie near the ... -
A Novel Clustering Algorithm based on a Non-parametric "Anti-Bayesian" Paradigm
(Chapter; Peer reviewed, 2015) -
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 Fault-Tolerant Routing Technique for Mesh-of-Tree based Network-on-Chip Design
(Chapter; Peer reviewed, 2018) -
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. ... -
A novel learning automata game with local feedback for parallel optimization of hydropower production
(Master thesis, 2017)Hydropower optimization for multi-reservoir systems is classi ed as a combinatorial optimization problem with large state-space that is particularly di cult to solve. There exist no golden standard when solving such ... -
A novel mathematical formula for retrieval algorithm
(Journal article; Peer reviewed, 2014)A method is proposed to retrieve mathematical formula in LaTeX documents. Firstly, we represent the retrieved mathematical formula by binary tree according to its LaTeX description, normalize the structure of the binary ... -
A novel policy-driven reversible anonymisation scheme for XML-based services
(Journal article; Peer reviewed, 2014)This paper proposes a reversible anonymisation scheme for XML messages that supports fine-grained enforcement of XACML-based privacy policies. Reversible anonymisation means that information in XML messages is anonymised, ... -
A novel research on rough clustering algorithm
(Journal article; Peer reviewed, 2014)The aim of this study is focusing the issue of traditional clustering algorithm subjects to data space distribution influence, a novel clustering algortihm combined with rough set theory is employed to the normal clustering. ... -
A Novel solid oxide fuel cell anode substrate : performance and lifetime studies
(Master thesis, 2013)The competition in the fuel cell market today is driving improved performance and among the fuel cells types the Solid Oxide fuel cell (SOFC) has a top rank because of its high efficiency in combined heat and power ... -
A novel strategy for solving the stochastic point location problem using a hierarchical searching scheme
(Journal article, 2014)Stochastic point location (SPL) deals with the problem of a learning mechanism (LM) determining the optimal point on the line when the only input it receives are stochastic signals about the direction in which it should ... -
A novel technique for stochastic root-finding: Enhancing the search with adaptive d-ary search
(Peer reviewed; Journal article, 2017)The most fundamental problem encountered in the field of stochastic optimization and control, is the Stochastic Root Finding (SRF) problem where the task is to locate (or in the context of control, to move towards), an ... -
A Novel Wideband MIMO Car-to-Car Channel Model Based on a Geometrical Semi-Circular Tunnel Scattering Model
(Journal article; Peer reviewed, 2016) -
A parameter-dependent approach to observer-based H ∞ control for networked control LPV systems
(Journal article; Peer reviewed, 2014)We address the observer-based H ∞ controller design problem for networked control LPV (NC LPV) systems, which are network-based systems that depend on unknown but measurable time-varying parameters. According to the analysis ...