Search for dissertations about: "computer and systems science Information technology"

Showing result 1 - 5 of 1602 swedish dissertations containing the words computer and systems science Information technology.

  1. 1. Lock-free Concurrent Search

    University dissertation from ; Chalmers tekniska högskola; Gothenburg

    Author : Bapi Chatterjee; [2017]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Wait-free; Help-aware; Non-blocking; Concurrency; Linearizability; Lock-based; Lock-free-kD-tree; Amortized Complexity; Data Structure; Binary Search Tree; Blocking; Search; Concurrent; kD-tree; Linked-list; Lock-free; Range Search; Language-portable; Help-optimal; Nearest Neighbour Search; Linearizable; Synchronization;

    Abstract : The contemporary computers typically consist of multiple computing cores with high compute power. Such computers make excellent concurrent asynchronous shared memory system. READ MORE

  2. 2. Advancing Automation in Digital Forensic Investigations

    University dissertation from Stockholm : Department of Computer and Systems Sciences, Stockholm University

    Author : Irvin Homem; Stockholms universitet.; [2018]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Digital Forensics; Machine Learning; Computer Forensics; Network Forensics; Predictive Modelling; Distributed Systems; Mobile Devices; Mobile Forensics; Memory Forensics; Android; Semantic Web; Hypervisors; Virtualization; Remote Acquisition; Evidence Analysis; Correlation; P2P; Bittorrent; data- och systemvetenskap; Computer and Systems Sciences;

    Abstract : Digital Forensics is used to aid traditional preventive security mechanisms when they fail to curtail sophisticated and stealthy cybercrime events. The Digital Forensic Investigation process is largely manual in nature, or at best quasi-automated, requiring a highly skilled labour force and involving a sizeable time investment. READ MORE

  3. 3. Expressing emotions through vibration for perception and control

    University dissertation from Umeå : Umeå universitet, Institutionen för tillämpad fysik och elektronik

    Author : Shafiq ur Réhman; Umeå universitet.; [2010]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Multimodal Signal Processing; Mobile Communication; Vibrotactile Rendering; Locally Linear Embedding; Object Detection; Human Facial Expression Analysis; Lip Tracking; Object Tracking; HCI; Expectation-Maximization Algorithm; Lipless Tracking; Image Analysis; Visually Impaired.; TECHNOLOGY Information technology Signal processing; TEKNIKVETENSKAP Informationsteknik Signalbehandling; TECHNOLOGY Information technology Image analysis; TEKNIKVETENSKAP Informationsteknik Bildanalys; TECHNOLOGY Information technology Computer science; TEKNIKVETENSKAP Informationsteknik Datavetenskap; TECHNOLOGY Information technology Telecommunication; TEKNIKVETENSKAP Informationsteknik Telekommunikation; TECHNOLOGY Information technology Systems engineering; TEKNIKVETENSKAP Informationsteknik Systemteknik; datoriserad bildanalys; Computerized Image Analysis; Computing Science; administrativ databehandling; Electronics; elektronik; Systems Analysis; systemanalys;

    Abstract : This thesis addresses a challenging problem: “how to let the visually impaired ‘see’ others emotions”. We, human beings, are heavily dependent on facial expressions to express ourselves. A smile shows that the person you are talking to is pleased, amused, relieved etc. READ MORE

  4. 4. Mobile systems for monitoring Parkinson's disease

    University dissertation from Örebro : Örebro universitet

    Author : Mevludin Memedi; Högskolan Dalarna.; Örebro universitet.; [2014]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; PAULINA - Uppföljning av Parkinsonsymptom från hemmet; PAULINA - Uppföljning av Parkinsonsymptom från hemmet; automatic assessments; data visualization; data-driven modelling; home assessments; information technology; mobile computing; objective measures; Parkinson’s disease; quantitative assessments; remote monitoring; spirography; symptom severity; tapping tests; telemedicine; telemetry; time series analysis; web technology.; Information technology; Informationsteknologi; Datavetenskap; Computer Science; web technology;

    Abstract : A challenge for the clinical management of Parkinson's disease (PD) is the large within- and between-patient variability in symptom profiles as well as the emergence of motor complications which represent a significant source of disability in patients. This thesis deals with the development and evaluation of methods and systems for supporting the management of PD by using repeated measures, consisting of subjective assessments of symptoms and objective assessments of motor function through fine motor tests (spirography and tapping), collected by means of a telemetry touch screen device. READ MORE

  5. 5. Utilizing Diversity and Performance Measures for Ensemble Creation

    University dissertation from Örebro universitet

    Author : Tuve Löfström; Högskolan i Skövde.; Högskolan i Skövde.; Högskolan i Borås.; [2009]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TECHNOLOGY Information technology Computer science; TEKNIKVETENSKAP Informationsteknik Datavetenskap; Teknik; Technology; Ensemble Learning; Machine Learning; Diversity; Artificial Neural Networks; Data Mining; Information Fusion; ensemble learning; machine learning; diversity; artificial neural networks; information fusion; Computer Science; data mining;

    Abstract : An ensemble is a composite model, aggregating multiple base models into one predictive model. An ensemble prediction, consequently, is a function of all included base models. Both theory and a wealth of empirical studies have established that ensembles are generally more accurate than single predictive models. READ MORE