Sökning: "Model structure"
Visar resultat 1 - 5 av 3775 avhandlingar innehållade orden Model structure.
1. Protein Structure Prediction : Model Building and Quality Assessment
Sammanfattning : Proteins play a crucial roll in all biological processes. The wide range of protein functions is made possible through the many different conformations that the protein chain can adopt. The structure of a protein is extremely important for its function, but to determine the structure of protein experimentally is both difficult and time consuming. LÄS MER
2. Model Selection
Sammanfattning : Before using a parametric model one has to be sure that it offers a reasonable description of the system to be modeled. If a bad model structure is employed, the obtained model will also be bad, no matter how good is the parameter estimation method. There exist many possible ways of validating candidate models. LÄS MER
3. Lean, Green, and Agile Design and Control of Pallet Systems
Sammanfattning : Pallet based automated material handling systems are main devices to transport and locate various part types in flexible production plants.To fulfill production objectives and win in the competitive environment of mass customization, proper deign and control of handling and locating pallet systems have been highly concerned. LÄS MER
4. Regular Model Checking
Sammanfattning : A major current challenge in the area of program verification is to extend its applicability to infinite-state systems. A system can be infinite-state because it operates on unbounded data structures, such as queues, stacks, integers, etc., or because its description is parameterized by the number of components inside the system. LÄS MER
5. From Sequence to Structure : Using predicted residue contacts to facilitate template-free protein structure prediction
Sammanfattning : Despite the fundamental role of experimental protein structure determination, computational methods are of essential importance to bridge the ever growing gap between available protein sequence and structure data. Common structure prediction methods rely on experimental data, which is not available for about half of the known protein families. LÄS MER