Search results for "Telecommunication"

Performance Analysis of Super-Orthogonal Space-Time Trellis Coded MIMO-OFDM Systems over the One-Ring Channel

2007

Masteroppgave i informasjons- og kommunikasjonsteknologi 2007 – Høgskolen i Agder, Grimstad With the rapid development of wireless communications, the available bandwidth for wireless applications becomes more and more insufficient. Therefore, how to improve data rate without expending bandwidth becomes a main goal in modern communication system design. Recently, two wireless communication schemes, which can be used to effectively combat with multi-path fading, are widely investigated around the world. One is the multiple-input multiple-output (MIMO) technology and another is the orthogonal frequency division multiplexing (OFDM). As a result, a combined system, MIMO-OFDM, can be used for wi…

Mobilteknologi til videokommunikasjon ved trygghetsalarmer

2007

Masteroppgave i informasjons- og kommunikasjonsteknologi 2007 – Høgskolen i Agder, Grimstad Denne rapporten behandler bruk av mobiltelefoner som alarmsentral for hjemmeboende brukere. Studien legger vekt på de forskjellige mobile netts egenskaper og begrensninger som alarmbefordrer. Ønske om videotelefoni som alarm behandles og det foreslås løsninger for å ivareta dette uten å gå på akkord med sikkerhet. Juridiske sider med alarmer og videobilder behandles ut fra to ulike scenario avhengig av om hjelpere er offentlige eller private. Studien er gitt som en del av interregIII prosjektet Grensebroen Arena sin satsning innen emnet “Et år til hjemme” rettet mot eldre hjemme- boende. Prosjektet h…

Implementering av internettbasert pasientjournal i en helseinstitusjon

2007

Masteroppgave i informasjons- og kommunikasjonsteknologi 2007 – Høgskolen i Agder, Grimstad Det utvikles stadig flere internettjenester som gir nye og bedre muligheter for kommunikasjon og utveksling av informasjon. Det norske helsevesen har merket en stor etterspørsel fra pasienter og helsepersonell etter internettbaserte helseløsninger som vil forenkle hverdagen. De første internettbaserte helsetjenestene eksisterer, men disse er helt i startfasen og det er nærmest uendelige muligheter for hva slags tjenester en skal kunne tilby i fremtiden. Sårbarhetene relatert til internett og det strenge lovverket i Norge gjør slike tjenester vanskelig å gjennomføre. Løsningene som skal tilby slike tj…

2014

This paper considers the parameter estimation for linear time-invariant (LTI) systems in an input-output setting with output error (OE) time-delay model structure. The problem of missing data is commonly experienced in industry due to irregular sampling, sensor failure, data deletion in data preprocessing, network transmission fault, and so forth; to deal with the identification of LTI systems with time-delay in incomplete-data problem, the generalized expectation-maximization (GEM) algorithm is adopted to estimate the model parameters and the time-delay simultaneously. Numerical examples are provided to demonstrate the effectiveness of the proposed method.

Multimodal biometric recognition systems using deep learning based on the finger vein and finger knuckle print fusion

2020

Recognition systems using multimodal biometrics attracts attention because they improve recognition efficiency and high-security level compared to the unimodal biometrics system. In this study, the authors present a secure multimodal biometrics recognition system based on the deep learning method that uses convolutional neural networks (CNNs). The authors propose two multimodal architectures using the finger knuckle print (FKP) and the finger vein (FV) biometrics with different levels of fusion: the features level fusion and scores level fusion. The features extraction for FKP and FV are performed using transfer learning CNN architectures: AlexNet, VGG16, and ResNet50. The key step aims to …

Image Segmentation by Deep Community Detection Approach

2017

International audience; To address the problem of segmenting an image into homogeneous communities this paper proposes an efficient algorithm to detect deep communities in the image by maximizing at each stage a new centrality measure, called the local Fiedler vector centrality (LFVC). This measure is associated with the sensitivity of algebraic connectivity to node removals. We show that a greedy node removal strategy, based on iterative maximization of LFVC, has bounded performance loss relative to the optimal, but intractable, combinatorial batch removal strategy. A remarkable feature of this method is the ability to segments the image automatically into homogeneous regions by maximizing…

A simple and efficient face detection algorithm for video database applications

2000

The objective of this work is to provide a simple and yet efficient tool to detect human faces in video sequences. This information can be very useful for many applications such as video indexing and video browsing. In particular the paper focuses on the significant improvements made to our face detection algorithm presented by Albiol, Bouman and Delp (see IEEE Int. Conference on Image Processing, Kobe, Japan, 1999). Specifically, a novel approach to retrieve skin-like homogeneous regions is presented, which is later used to retrieve face images. Good results have been obtained for a large variety of video sequences. Peer Reviewed

Multiplexing of encrypted data using fractal masks

2012

In this Letter, we present to the best of our knowledge a new all-optical technique for multiple-image encryption and multiplexing, based on fractal encrypting masks. The optical architecture is a joint transform correlator. The multiplexed encrypted data are stored in a photorefractive crystal. The fractal parameters of the key can be easily tuned to lead to a multiplexing operation without cross talk effects. Experimental results that support the potential of the method are presented.

Challenges and Opportunities using MultiChain for Real Estate

2019

The real estate market involves multiple untrusted actors with contrasting objectives. We propose REchain, a blockchain-based platform for real estate, which provides benefits to all actors in terms of transparency, trust, immutability, and traceability. REchain architecture handles real estate data through well-defined workflows that leverage the MultiChain platform. REchain changes the real estate market enabling direct transactions without intermediaries, and providing new mechanisms for negotiating the purchase conditions. This paper refutes the misleading idea of using blockchains for solving generic problems as blockchain platforms have peculiar features that make them suitable for sp…

Predicting the Success of Blastocyst Implantation from Morphokinetic Parameters Estimated through CNNs and Sum of Absolute Differences

2019

The process of In Vitro Fertilization deals nowadays with the challenge of selecting viable embryos with the highest probability of success in the implantation. In this topic, we present a computer-vision-based system to analyze the videos related to days of embryo development which automatically extracts morphokinetic features and estimates the success of implantation. A robust algorithm to detect the embryo in the culture image is proposed to avoid artifacts. Then, the ability of Convolutional Neural Networks (CNNs) for predicting the number of cells per frame is novelty combined with the Sum of Absolute Differences (SAD) signal in charge of capturing the amount of intensity changes durin…