Informatics

High-Order Wavelet Reconstruction for Multi-Scale Edge Aware Tone Mapping
This paper presents a High Order Reconstruction (HOR) method for improved multi-scale edge aware tone mapping. The study aims to contribute to the improvement of edge-aware techniques for smoothing an input image, while keeping its edges intact. The proposed HOR methods circumvent limitations of the existing state of the art methods, e.g., altering the image structure due to changes in contrast...


Discrete Ordinate Method for Polarized Light Transport Solution and Subsurface BRDF Computation
Interest in polarization properties of rendered materials is growing, but so far discussions on polarization have been restricted only to surface reflection, and the reflection due to subsurface scattering is assumed to be unpolarized. Findings from other fields (e.g. optics and atmospheric science) show that volumetric interaction of light can contribute to polarization. We thus investigated t...
Recurring patterns of atrial fibrillation in surface ECG predict restoration of sinus rhythm by catheter ablation
Non-invasive tools to help identify patients likely to benefit from catheter ablation (CA) of atrial fibrillation (AF) would facilitate personalised treatment planning. To investigate atrial waveform organisation through recurrence plot indices (RPI) and their ability to predict CA outcome. One minute 12-lead ECG was recorded before CA from 62 patients with AF (32 paroxysmal AF; 45 men; age 57...


Robust heart rate variability analysis by generalized entropy minimization
Typical heart rate variability (HRV) times series are cluttered with outliers generated by measurement errors, artifacts and ectopic beats. Robust estimation is an important tool in HRV analysis, since it allows clinicians to detect arrhythmia and other anomalous patterns by reducing the impact of outliers. A robust estimator for a flexible class of time series models is proposed and its empiri...
Multihoming and network coding: A new approach to optimize the network performance
Over the years, we have witnessed a systematic evolution of heterogeneous networks. Although the capabilities of these networks are constantly being improved, the users’ requirements are increasingly stringent and difficult to fulfil. In this context, it becomes important to optimize the utilization of all available resources in order to obtain a better user experience and a better network ut...


Containing smartphone worm propagation with an influence maximization algorithm
In recent years, wide attention has been drawn to the problem of containing worm propagation in smartphones. Unlike existing containment models for worm propagation, we study how to prevent worm propagation through the immunization of key nodes (e.g., the top k influential nodes). Thus, we propose a novel containment model based on an influence maximization algorithm. In this model, we introduc...
Opportunistic resource scheduling for D2D communication in OFDMA networks
In this paper, we study a resource scheduling problem for D2D communication in OFDMA cellular networks. In addition to opportunistically scheduling power and subchannels to users as in the conventional OFDMA network, we also consider two distinguishing features for D2D communication to fully utilize the advantages of D2D communication: transmission mode selection and channel reuse. First, we al...

Transmission Order Deducing MAC (TOD-MAC) protocol for CSMA/CA wireless networks
The increase in physical (PHY) layer transmission rates in IEEE WLAN does not necessarily give the corresponding increase of MAC layer throughput because of MAC overhead such as PHY headers and contention time. To improve MAC layer efficiency, we propose the Transmission Order Deducing MAC (TOD-MAC) protocol, which controls packet length in such a way that the transmission duration is adjusted ...
The greening potential of content delivery in residential community networks
In this paper we focus on a Residential Community Network (RCN) in which the various home gateways have (limited) caching capabilities, can be shared among the users, and can exploit multi-hop wireless paths to communicate with each other. We analyse such a RCN from an energy-aware perspective, investigating its energy-saving potential in delivering the contents to the end users. To this aim, w...

Efficient cooperative access class barring with load balancing and traffic adaptive radio resource management for M2M communications over LTE-A
We propose two efficient cooperative access class barring with load balancing (CACB-LB) and traffic adaptive radio resource management (TARRM) schemes for M2M communications over LTE-A. The proposed CACB-LB uses the percentage of the number of Machine-Type Communication (MTC) devices that can only access one eNB between two adjacent eNBs as a criterion to allocate those MTC devices that are loc...
Trust-based incentive mechanism to motivate cooperation in hybrid P2P networks
In this paper, a novel Super-peer based Trust model (SuperTrust) is presented to incent peers to cooperate in a hybrid Peer-to-Peer (P2P) system. It is not unusual in a P2P system that peers have different interests when it comes to file sharing. Repeated transactions are less likely to occur if peers share little interests. And without sufficient number of transactions among peers, it is diffi...

Information and communication technologies for promoting and sustaining quality of life, health and self-sufficiency in ageing societies – outcomes of the Lower Saxony Research Network Design of Environments for Ageing (GAL)
Many societies across the world are confronted with demographic changes, usually related to increased life expectancy and, often, relatively low birth rates. Information and communication technologies (ICT) may contribute to adequately support senior citizens in aging societies with respect to quality of life and quality and efficiency of health care processes. For investigating and for providi...
A fast partitioning algorithm using adaptive mahalanobis clustering with application to seismic zoning
In this paper we construct an efficient adaptive Mahalanobis k-means algorithm. In addition, we propose a new efficient algorithm to search for a globally optimal partition obtained by using the adoptive Mahalanobis distance-like function. The algorithm is a generalization of the previously proposed incremental algorithm. It successively finds optimal partitions with k = 2 , 3 , … clusters....
Parallelized Seeded Region Growing Using CUDA
This paper presents a novel method for parallelizing the seeded region growing (SRG) algorithm using Compute Unified Device Architecture (CUDA) technology, with intention to overcome the theoretical weakness of SRG algorithm of its computation time being directly proportional to the size of a segmented region. The segmentation performance of the proposed CUDA-based SRG is compared with SRG impl...
LDPC Code Density Evolution in the Error Floor Region
This short paper explores density evolution (DE) for low-density parity-check(LDPC) codes at signal-to-noise-ratios (SNRs) that are significantly above thedecoding threshold. The focus is on the additive white Gaussian noise channeland LDPC codes in which the variable nodes have regular degree. Prior work, using DE, produced results in the error floor region which wereasymptotic in the belief-p...