Do you want to publish a course? Click here

نظم الزمن الحقيقي

3561   6   224   0 ( 0 )
 Publication date 2018
and research's language is العربية
 Created by Shamra Editor




Ask ChatGPT about the research

No English abstract



References used
.
rate research

Read More

In this paper, we compare the performance of sporadic tasks scheduler algorithms on a multi-core platform in order to determine the best algorithm in terms of a set of parameters adopted by researchers in this field, which in turn gives us accurate details about the quality of such algorithms when applied to a set of sporadic tasks generated according to uniformed Logarithmic probability distribution. The simulation is done using Simso simulator, which proved the reliability of high performance by the testimony of many researchers in this field, as it provides the possibility of generating tasks according to specific probability distributions, and simulates accurate details related to the characteristics of random tasks.
Services that demanded by users via internet network are classified in two main kinds, Services work in real time such as video and voice in real time and use UDP protocol, and other services that work in non-real time such as web browsing (HTTP) a nd file transfer (FTP) which use TCP Protocol. In this research, we study and analyze algorithms that enhance the quality of service for various applications. For real time application, we use queues disciplines, which gives high priority for these services and achieves minimum delay. For non-real time application, we study congestion control algorithms, which achieve best performance for reliable transfer process with existing the congestion in the network. We used OPNET 14.5 program for simulating various services via internet network. Simulation results show achieving minimum delay for voice service, and achieving high transmission rate for FTP application with existing of packets loss in the network.
Recently, a class of tracking techniques called "tracking by detection" has been shown to give promising results at real-time speeds. These methods train a discriminative classifier in an online manner to separate the object from the background. This classifier bootstraps itself by using the current tracker state to extract positive and negative examples from the current frame. Slight inaccuracies in the tracker can therefore lead to incorrectly labeled training examples, which degrade the classifier and can cause drift. In this paper, we show that usingSimple Online and Realtime Tracking (SORT) which is a pragmatic approach to multiple object tracking with a focus on simple, effective algorithms
The study seeks to determine the real time in electrical power system, which consists of generating, transmitting and distributing equipment by using redistributing active power of electrical generators in order to organizing the overload operation of electrical power transmission line loading in such case that the spare loads of electrical station are not covering the important and necessary loads at failures. The most of laws related to electrical power systems design indicated to proper ratio of real time of electrical power system equipment along with characteristics of probability distributed functions in addition to statistics methods which give a high possibility to reduce the real time of considered loads; so; this leads to the requested solutions which reduce the damage of failures at any time.
This research introduces a new approach to reduce time execution of processing programs, by reducing the amount of processed data, especially in applications where the priority is to the execution time of the program over the detailed information of captured pictures, such as detection and tracking systems.
comments
Fetching comments Fetching comments
Sign in to be able to follow your search criteria
mircosoft-partner

هل ترغب بارسال اشعارات عن اخر التحديثات في شمرا-اكاديميا