Search for dissertations about: "method Integration Data"

Showing result 1 - 5 of 255 swedish dissertations containing the words method Integration Data.

  1. 1. Wafer-level heterogeneous integration of MEMS actuators

    Author : Stefan Braun; Göran Stemme; Martin A. Schmidt; KTH; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Microelectromechanical systems; MEMS; silicon; wafer-level; integration; heterogeneous integration; transfer integration; packaging; assembly; wafer bonding; adhesive bonding; eutectic bonding; release etching; electrochemical etching; microvalves; microactuator; Shape Memory Alloy; SMA; NITINOL; TiNi; NiTi; cold-state reset; bias spring; stress layers; crossbar switch; routing; switch; switch array; electrostatic actuator; S-shaped actuator; zipper actuator; addressing; transfer stamping; blue tape; Computer engineering; Datorteknik;

    Abstract : This thesis presents methods for the wafer-level integration of shape memory alloy (SMA) and electrostatic actuators to functionalize MEMS devices. The integration methods are based on heterogeneous integration, which is the integration of different materials and technologies. READ MORE

  2. 2. Schema Integration : How to Integrate Static and Dynamic Database Schemata

    Author : Peter Bellström; Remigijus Gustas; Janis Stirna; Karlstads universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; Schema Integration; Conceptual Database Design; Database Schemata; Enterprise Modeling; Information Systems; Informatik;

    Abstract : Schema integration is the task of integrating several local schemata into one global database schema. It is a complex, error-prone and time consuming task. Problems arise in recognizing and resolving problems, such as differences and similarities, between two schemata. Problems also arise in integrating static and dynamic schemata. READ MORE

  3. 3. Integration of Biological Data

    Author : Vaida Jakonienė; Patrick Lambrix; Nahid Shahmehri; Michael Schroeder; Linköpings universitet; []
    Keywords : Datalogi; integration; grouping; databases; ontologies; biological data; ioinformatics; KitEGA; Datalogi; TECHNOLOGY; TEKNIKVETENSKAP;

    Abstract : Data integration is an important procedure underlying many research tasks in the life sciences, as often multiple data sources have to be accessed to collect the relevant data. The data sources vary in content, data format, and access methods, which often vastly complicates the data retrieval process. READ MORE

  4. 4. Large scale integration and interactive exploration of cancer data – with applications to glioblastoma

    Author : Patrik Johansson; Sven Nelander; Rebecka Jörnsten; Lene Uhrbom; Gary Bader; Uppsala universitet; []
    Keywords : MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; NATURAL SCIENCES; MEDICAL AND HEALTH SCIENCES; MEDICAL AND HEALTH SCIENCES; Glioblastoma; data integration; network modeling; interactive exploration; precision medicine; Oncology; Onkologi; Molekylär medicin; Molecular Medicine; Statistics; Statistik;

    Abstract : Glioblastoma is the most common malignant brain tumor, with a median survival of approximately 15 months. The standard of care treatment consists of surgical resection followed by radiotherapy and chemotherapy, where chemotherapy only prolongs survival by approximately 3 months. READ MORE

  5. 5. Context Knowledge Base for Ontology Integration

    Author : Dan Wu; Anne Håkansson; Carl-Gustaf Jansson; Jelena Zdravkovic; KTH; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; ontology integration; semantic and pragmatic integration; context; knowledge base; rules; SRA - ICT; SRA - Informations- och kommunikationsteknik;

    Abstract : Ontology integration is a process of matching and merging two ontologies for reasons such as for generating a new ontology, thus creating digital services and products. Current techniques for ontology integration, used for information and knowledge integration, are not powerful enough to handle the semantic and pragmatic heterogeneities. READ MORE