يمكن تعريف النظام على أنه تقابل بين مجموعة مداخل و مخارج.
يمكن نمذجة أي كينونة في الطبيعة على شكل نظام.
النظم الحاسوبية هي نظم مكونة من برمجيات و عتاد مادي.
نظام الزمن الحقيقي هو نظام يجب أن يحقق قيود صريحة (حدود محددة) على زمن الاستجابة.
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.