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News: COE 599/CSE699/ICS 599/SWE 599 Seminars - 2

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COE 599/CSE699/ICS 599/SWE 599 Seminars - 2

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Dear CCSE Community,

 

You are cordially invited to attend the following seminars:

 

Wednesday, March 5, at 2:10 pm, Room 22/132.

 

Speaker: Mr. Tariq Abu Amria , COE Department 

Title: The Evolution of MAC Protocols in Wireless Sensor Networks

 

                                                       Abstract

Wireless Sensor Networks have become a very popular solution in many important applications such as intrusion detection, industrial automation, target detection and tracking, environmental monitoring, smart building, and oil pipeline monitoring and so on. Typically, a WSN consists of a large number of small, low-cost sensor nodes with limited power supply that are distributed in the target area for collecting data of interest. For a WSN to provide high throughput in an energy-efficient way, designing an efficient MAC (Medium Access Control) protocol is of paramount importance because the MAC layer coordinates nodes’ access to the shared wireless medium. To show the evolution of WSN MAC protocols, this presentation shows the latest progresses in WSN MAC protocol. In the early development stages, designers were mostly concerned with energy efficiency because sensor nodes are usually limited in power supply. Recently, new protocols are being developed to provide multitask support and efficient delivery of bursty traffic. Therefore, research attention has turned back to throughput and delay. In This presentation categorizes MAC protocols in four categories: asynchronous, synchronous, frame-slotted, and multichannel. These designs are evaluated in terms of energy efficiency, data delivery performance, and overhead needed to maintain a protocol’s mechanisms. With extensive analysis of the protocols many future directions are stated at the end. The performance of different classes of protocols could be substantially improved in future designs by taking into consideration the recent advances in technologies and application demands. 

                                                      Biography

 

Eng. Tariq abu amria received the B.S. degree from Alquds University, alquds, Palestine, in 2007, in Computer Engineering, he worked at networks and system administrator for a local companies in Palestine, and he earned Microsoft certified system engineer, and redhat system administrator.  Currently he pursues a master science in computer networks in king Fahd University of petroleum and minerals. His research area is a wireless sensor networks media access control and routing protocol, which are aimed to offer a protocol with QoS.

 


Speaker: Mr. Alnethary Tamim S. , ICS Department 

Title: Integrating lemma and POS in Real-Word Errors Detection and Correction in Arabic text

 

                                                       Abstract

Two types of errors can occur in a text: non-word errors and real-word errors. Non-word errors result from misspelled words and real-word errors result from using words in inappropriate contexts. Detection and correction of non-word errors is easier than real-word errors. This is because real-word errors detection and correction requires understanding the contexts of erroneous words. In this Seminar, the author will show 4 enhancements to one of an existing approaches. The impact of integration each one of these enhancements is evaluated separately . The results   proves the usefulness of introduction of lemmas in suspicious words checking and proves that the use of lemma-based N-grams is not useful in real-word error detection and correction. Furthermore, it proves that using POS in real-word error detection and correction are not useful, especially with large corpora.

 

                                                      Biography

Mr. Alnethary Tamim S. has received a Bachelor degree in Information Technology (2008), from Faculty of Engineering,Taiz University , Yemen. He is currently an information and computer science master student at King Fahd University of Petroleum and Minerals(KFUPM). His research interests are in Artificial Intelligence  , Natural Language Processing ,and Software Engineering. He hopes to apply Pattern Recognition and AI techniques on  Software Engineering problems.

 

Dr. Muhamed Mudawar and Dr. Mahmood Niazi,

 

COE 599/CSE699/ICS 599/SWE 599 Coordinators

Expires

3/31/2014

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Created at 3/2/2014 11:06 AM by Webmaster of CCSE website CCSE
Last modified at 3/2/2015 10:47 AM by Webmaster of CCSE website CCSE