Search for dissertations about: "Data capturing"

Showing result 1 - 5 of 274 swedish dissertations containing the words Data capturing.

2. 1. Capturing semi-automated decision making : the methodology of CASADEMA

   Author : Maria Nilsson; Tom Ziemke; Joeri van Laere; Tarja Susi; Amy Loutfi; Ann Bisantz; Örebro universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Decision making; distributed cognition; human-computer interaction; semi-automated processes; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; Information technology; Informationsteknologi; Datalogi; Computer and Systems Science; Teknik;

   Abstract : This thesis presents a new methodology named CASADEMA (CApturing Semi-Automated DEcision MAking) which captures the interaction between humans and the technology they use to support their decision-making within the domain of Information Fusion. We are particularly interested in characterising the interaction between human decision makers and artefacts in semi-automated fusion processes. READ MORE

4. 2. Generative comics - A computational approach to creating comics material

   Author : Malik Nairat; Göteborgs universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; HUMANIORA; HUMANITIES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; comics; multi-agent systems; interactive evolution; generative storytelling; digital comics;

   Abstract : Digital storytelling can be employed as a tool that incorporates human creativity with technology. It synthesizes multimedia based elements to create engaging stories and compelling narratives. To this end, this research presents an approach that can be used as an assistant tool for comics artists. READ MORE

5. 3. Argument Differentiation. Soft constraints and data-driven models

   Author : Lilja Øvrelid; Göteborgs universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; syntactic arguments; parsing; lexical acquisition; animacy; Scandinavian syntax; soft constraints; data-driven models; machine learning;

   Abstract : The ability to distinguish between different types of arguments is central to syntactic analysis, whether studied from a theoretical or computational point of view. This thesis investigates the influence and interaction of linguistic properties of syntactic arguments in argument differentiation. READ MORE

6. 4. IT-supported Knowledge Repositories : Increasing their Usefulness by Supporting Knowledge Capture

   Author : Lena Aggestam; Benkt Wangler; Anne Persson; Murray Jennex; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Computer and systems science; Data- och systemvetenskap; Computer and Systems Sciences; data- och systemvetenskap; Computer science; Teknik;

   Abstract : Organizations use various resources to achieve business objectives, and for financial gain. In modern business, knowledge is a critical resource, and organizations cannot afford not to manage it. Knowledge Management (KM) aims to support learning and to create value for the organization. READ MORE

7. 5. Advancing Automation in Digital Forensic Investigations

   Author : Irvin Homem; Panagiotis Papapetrou; Fredrik Blix; Indre Žliobaitė; Stockholms universitet; []
   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; Computer and Systems Sciences; data- och systemvetenskap;

   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