Sökning: "adaptiveness"

Visar resultat 1 - 5 av 12 avhandlingar innehållade ordet adaptiveness.

1. 1. Introducing a procedural knowledge model for enhancing industrial process adaptiveness

   Författare :Andrea de Giorgio; Lihui Wang; Mauro Onori; Gino Dini; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; procedural knowledge; industrial process; industry 4.0; adaptiveness; human-machine collaboration; Production Engineering; Industriell produktion;

   Sammanfattning : Industrial processes are mainly based on procedural knowledge that must be continually elicited from experienced operators and learned by novice operators. In the context of Industry 4. LÄS MER

3. 2. Virtual Full Replication for Scalable Distributed Real-Time Databases

   Författare :Gunnar Mathiason; Sten F. Andler; Sang H. Son; Hans Hansson; Alejandro Buchmann; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Scalability; Flexibility; Adaptiveness; Database Replication; Resource Management; Distributed Database; Real-time Database; Computer science; Datalogi; Information technology; Informationsteknik; Teknik;

   Sammanfattning : A fully replicated distributed real-time database provides high availability and predictable access times, independent of user location, since all the data is available at each node. However, full replication requires that all updates are replicated to every node, resulting in exponential growth of bandwidth and processing demands with the number of nodes and objects added. LÄS MER

4. 3. Adaptiveness, Asynchrony, and Resource Efficiency in Parallel Stochastic Gradient Descent

   Författare :Karl Bäckström; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : Accelerated digitalization and sensor deployment in society in recent years poses critical challenges for associated data processing and analysis infrastructure to scale, and the field of big data, targeting methods for storing, processing, and revealing patterns in huge data sets, has surged. Artificial Intelligence (AI) models are used diligently in standard Big Data pipelines due to their tremendous success across various data analysis tasks, however exponential growth in Volume, Variety and Velocity of Big Data (known as its three V’s) in recent years require associated complexity in the AI models that analyze it, as well as the Machine Learning (ML) processes required to train them. LÄS MER

5. 4. Adaptiveness and Lock-free Synchronization in Parallel Stochastic Gradient Descent

   Författare :Karl Bäckström; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; parallelism; machine learning; Stochastic gradient descent;

   Sammanfattning : The emergence of big data in recent years due to the vast societal digitalization and large-scale sensor deployment has entailed significant interest in machine learning methods to enable automatic data analytics. In a majority of the learning algorithms used in industrial as well as academic settings, the first-order iterative optimization procedure Stochastic gradient descent (SGD), is the backbone. LÄS MER

7. 5. An IP-multicast based framework for designing synchronous distributed multi-user applications on the Internet

   Författare :Peter Parnes; Luleå tekniska universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Distribuerade datorsystem; Mobile and Pervasive Computing;

   Sammanfattning : This thesis examines the problems of how to design scalable, robust, and distributed real-time media applications for the Internet. An agent based framework for solving this problem is presented. LÄS MER