Blar i Master's theses in Information and Communication Technology på tittel
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Background noise classification and denoising of audio signals utilizing empirical wavelet transform and deep learning
(Master thesis, 2021)The importance of sound and speech cannot in human life cannot be overstated. Ambient sound informs us about our surroundings and warn us of potential dangers, such as a car approaching from behind. One of the most common ... -
Balanced scorecard as a strategic management tool : the case of Seagull AS
(Master thesis, 2003)Can investments in IT help a company to achieve its overall strategy and vision? Research over several years has resulted in mixed findings but several studies shows that the IT investments actually can result in better ... -
Biometric Fish Classification of Nordic Species Using Convolutional Neural Network with Squeeze-and-Excitation
(Master thesis, 2018)Squeeze-and-Excitation (SE) is a technique within convolutional neural networks (CNN) that can be applied to existing CNNs by applying fullyconnected layers between convolutional layers and merging the outputs. SE was ... -
Blockchain-based Smart Contracts for Consent Management in eHealth
(Master thesis, 2021)Since the introduction of Bitcoin by Satoshi Nakamoto in a white paper in 2008, Blockchain has gathered considerable attention because of its ability to be decentralized and immutable. Blockchain is still considered as a ... -
Bluetooth : overføring av EKG-prosessdata via Bluetooth-teknologi
(Master thesis, 2000)Denne oppgaven tar for seg mulighetene for å overføre EKG-prosessdata via Bluetooth-teknologi. EKG-prosessdata er signaler generert ut i fra elektrisk aktivitet på hjertet. Bluetooth skal i denne sammenhengen fungere som ... -
Bruk av Honeynett for å analysere trusler mot datanettverk
(Master thesis, 2002)Denne oppgaven er et studie i hvordan bruke et Honeynett som et verktøy for å observere og analysere de trusler som dag finnes på Internett. Det ble først foretatt et litteraturstudium, både teknisk om Honeynett-teknologi ... -
Bruk av Honeypot-konseptet for å øke sikkerheten i nettverket
(Master thesis, 2000)De siste årenes kraftige vekst i nettverksbaserte tjenester, har ført til at datasikkerhet er blitt en stadig viktigere del av organisasjonenes IT-strategi. Et av de viktigste midlene i kampen mot datakriminalitet er ... -
Bruk av RDF til kobling av RFID-baserte metadata til kvalitetssikring hos Agder renovasjon
(Master thesis, 2005)Resource Description Framework (RDF) er et rammeverk som blir standardisert av W3C. Rammeverket brukes til å beskrive og koble sammen ressurser ved hjelp av subjekt, egenskap og objekt. I denne oppgaven har vi benyttet ... -
Buffering principles for mobile multimedia over IP
(Master thesis, 2001)This thesis suggests a test-bed for reviewing queue algorithms suitable for IP based mobile multimedia services. Subjective performance quality obtained in the test-bed was analysed using a network performance monitor ... -
Building nursing statements based on ICNP
(Master thesis, 2013)Correct and professional use of the nursing termonology is important to assure quality information in the nursing practice. The International Classification for Nursing Practice(ICNP) is a unified language system which ... -
Camera functionality in modern mobile terminals : software FIR filter for demosaicing with RISC
(Master thesis, 2001)This thesis discusses implementation and optimizing of the image pre-processing operation demosaicing on a typical hardware architecture for mobile terminals. Work has shown that the demosaicing operation is equivalent ... -
Centralized vs. Decentralized Investigating the advantages and disadvantages of single vendor vs. multivendor
(Master thesis, 2023)The purpose of this research was to see the differences between centralized and decentralized in various fields, such as IoT, and cloud computing systems, to decide if additional security is needed. The study showed that ... -
Centralized vs. Decentralized Investigating the advantages and disadvantages of single vendor vs. multivendor
(Master thesis, 2023)The purpose of this research was to see the differences between centralized and decentralized in various fields, such as IoT, and cloud computing systems, to decide if additional security is needed. The study showed that ... -
Classification of Diabetes and Cardiac Arrhythmia using Deep Learning
(Master thesis, 2018)Deep Learning (DL) is a research area that has ourished signi cantly in the recent years and has shown remarkable potential for arti cial intelligence in the eld of medical applications. The reasons for success are ... -
Classification of GNSS Jammers using Machine Learning : Multivariate Time Series and Image Classification Based Approaches
(Master thesis, 2021)GNSS is one of the most widely used positioning techniques in modern technology. However, the signals from the GNSS satellites are weak on earth due to the propagation attenuation, making GNSS-based systems vulnerable to ... -
Classification with Multiple Classes using Naïve Bayes and Text Generation with a Small Data Set using a Recurrent Neural Network
(Master thesis, 2017)In this thesis, text classification and text generation are explored using only a small data set and many classes. This thesis experiments with text classification, and show how it is able to find the most similar output ... -
Clustered File Type Identification
(Master thesis, 2015)This thesis examines the possibility of expanding the current field of research for file type identification in Digital Forensics. A proposed solution is presented where unsupervised clustering and supervised classification ... -
Clustering with Terracotta
(Master thesis, 2008)In today’s java community, modern enterprise application products have more constraints and requirements then ever. High availability, application scalability and also good performance are required, which means an ... -
Code Generation from Cinderella-SDL to Embedded Platforms
(Master thesis, 2007)SDL (Specification and description language) is increasingly adopted by many companies and researchers. Its simplicity and object-oriented structure can greatly ease the workload for them. However, the lack of concretization ... -
Combating class imbalances in image classification - a deep neural network-based method for skin disease classification
(Master thesis, 2022)Skin cancer is the most common type of cancer globally, and the current estimates say that as many as one in five Americans will develop one form of skin cancer in their lifetime. While there are many types of skin cancer, ...