خط مشی دسترسیدرباره ما
ثبت نامثبت نام
راهنماراهنما
فارسی
ورودورود
صفحه اصلیصفحه اصلی
جستجوی مدارک
تمام متن
منابع دیجیتالی
رکورد قبلیرکورد بعدی
Document Type : Latin Dissertation
Language of Document : English
Record Number : 151946
Doc. No : ET23738
Main Entry : CHANNARITH JEROME VANTHIN
Title Proper : A BAYESIAN-LEARNING A1 TECHNIQUE FOR EXPLORING PRE- EMPTIVE LOADS THROUGH 110 DEVICES: THE MOUSE POINTER CASE STUDY
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : In today's computing environment, it is well known that the computing bottleneck israther at the L/O peripheral levels instead of at the level of CPU and memory. The accesstimes to fetch data from an external device such as a CD-ROM, a network drive, or eventhe delay of dragging a mouse pointer to a desktop icon consumes seconds of time whileCPU operations take nanoseconds. In this thesis, we show how our proposed Bayesiantechnique can anticipate certain memory intensive programs and how it can be used topreload its contents before the user selects the actual program. We evaluate the I/Operipheral of the mouse cursor and how to leverage historic mouse data to make thesepredictions. We show that using such Artificial Intelligence (AI) techniques results.............-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46995.pdf
Title and statement of responsibility and : A BAYESIAN-LEARNING A1 TECHNIQUE FOR EXPLORING PRE- EMPTIVE LOADS THROUGH 110 DEVICES: THE MOUSE POINTER CASE STUDY [Thesis]
 
 
 
(در صورت عدم وضوح تصویر اینجا را کلیک نمایید)