Investigation of Load Models in Load Stability using UPFC and CSO: Gutha Naveen Kumar
Experimental investigation of the load response of model piles in sand:A study to clarify the Influence of axial load on the lateral response of steel piles in sand Jintae Lee
A Model for Synthetic FRC Beams under Flexural Load Test:A model evaluating toughness of a FRC beam and its behavior under a flexural load test based on fiber properties Alessandro Paglia
Webcam modelling for beginners! How to make loads of cash from your living room as a cam model. Are you ready to learn all about becoming a cam model? If so, you´ve come to the right place. No experience? No worries! Here´s a preview of what this book contains: An introduction to cam modelling The advantages of being a webcam model What you need to become a webcam model Getting started - taking the first steps (must listen!) Working with a studio vs. working independently Handling shows the right way How to become the best webcam model you can be Getting customers and return clients the right way How to protect yourself (in more ways than one!) And much, much more! 1. Language: English. Narrator: Jim D Johnston. Audio sample: http://samples.audible.de/bk/acx0/081921/bk_acx0_081921_sample.mp3. Digital audiobook in aax.
ANFIS Models for Dynamic Load Balancing in 3GPP LTE:A Fresh Take on Load Balancing in NGN Matthew K. Luka, Aderemi A. Atayero
Numerical Solution of a Model Problem From Collapse Load Analysis (Classic Reprint): Michael L. Overton
Travel Time Models and Throughput Analysis of Dual Load Handling Automated Storage and Retrieval Sys:Dissertationsschrift Wissenschaftliche Berichte des Instituts für Fördertechnik und Logistiksysteme des Karlsruher Instit Katharina Dörr
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Computational grid is made up of virtual resources and differs from HPC, as it´s used in scientific and technological computation-intensive problem solving. In computational grid, resources are identified as underutilized, less loaded and over loaded. Load balancing becomes even more challenging in grid because of its heterogeneous nature and computation-data separation among resources. Utilization of these resources through co-ordination of various loads is always considered an optimization problem. In order to achieve this, approach of adaptive resource ranking is applied in this research. This adaptive methodology of resource co-ordination in the computational grid is based on historical or average load of each resource along with their current load for a defined period. Except resource co-ordination, the proposed algorithm also introduces periodical runtime backup to another available resource for retaining quality-of-service as approved in service level agreement. The experiments carried out in this book establish the proposition for optimized model and fault tolerant model, in case of unexpected resource failure. Hence, quality of service is achieved for both of these models.
Estimation of Bluff Body Transient Aerodynamic Loads:Using an Oscillating Model Rig Shuhaimi Mansor