Sökning: "Naturvetenskap Data- och informationsvetenskap Systemvetenskap"
Visar resultat 1 - 5 av 656 avhandlingar innehållade orden Naturvetenskap Data- och informationsvetenskap Systemvetenskap.
1. Lock-free Concurrent Search
Sammanfattning : The contemporary computers typically consist of multiple computing cores with high compute power. Such computers make excellent concurrent asynchronous shared memory system. LÄS MER
2. The Informed Gaze : On the Implications of ICT-Based Surveillance
Sammanfattning : Information and communication technologies are not value-neutral. I examine two domains, public health surveillance and sustainability, in five papers covering: (i) the design and development of a software package for computer-assisted outbreak detection; (ii) a workflow for using simulation models to provide policy advice and a list of challenges for its practice; (iii) an analysis of design documents from three smart home projects presenting intersecting visions of sustainability; (iv) an analysis of EU-financed projects dealing with sustainability and ICT; (v) an analysis of the consequences of design choices when creating surveillance technologies. LÄS MER
3. Deltagandets förutsättningar och digitala resursers påverkan : - ur ett elev- och lärarperspektiv
Sammanfattning : Denna avhandling undersöker potentialen hos digitala resurser för att stödja elevers deltagande i formella lärmiljöer. Forskningsfrågningar är inriktade på att förstå användarperspektiv, förhållningssätt och krav som är relevanta för att möjliggöra elevers deltagande i skolan. LÄS MER
4. Advancing Automation in Digital Forensic Investigations
Sammanfattning : 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. LÄS MER
5. Disease surveillance systems
Sammanfattning : Recent advances in information and communication technologies have made the development and operation of complex disease surveillance systems technically feasible, and many systems have been proposed to interpret diverse data sources for health-related signals. Implementing these systems for daily use and efficiently interpreting their output, however, remains a technical challenge. LÄS MER