Abdulaziz Shehab

Optimizing robot path in dynamic environments using Genetic Algorithm and Bezier Curve

Robots have recently gained a great attention due to their potential to work in dynamic and complex environments with obstacles, which make searching for an optimum path on-the-fly an open challenge. To address this problem, this paper proposes a Genetic Algorithm (GA) based path planning method to work in a dynamic environment called GADPP. The proposed method uses Bezier Curve to refine the final path according to the control points identified by our GADPP. To update the path during its movement, the robot receives a signal from a Base Station (BS) based on the alerts that are periodically triggered by sensors. Compared to the state-of-the-art methods, GADPP improves the performance of robot based applications in terms of the path length, the smoothness of the path, and the required time to get the optimum path. The improvement ratio regarding the path length is between 6% and 48%. While the path smoothness is improved in the range of 8% and 52%. In addition, GADPP reduces the required time to get the optimum path by 6% up to 47%.

An Empirical Analysis of User Behavior for P2P IPTV Workloads

The interest for video delivery systems over the Internet has been gradually growing up last years. It has already become a major application due to clients’ interest of video content and persistent development of network technologies. Users’ behavior is playing an increasingly crucial role in the performance of such applications. This paper proposes an efficient analysis of the user’s behavior for a long-running P2P IPTV service infrastructure developed and maintained by Lancaster University. The proposed analysis presents remarkable parameters that could be helpful for the service provider to consider for their network design.

Efficient Schemes for Playout Latency Reduction in P2P-VoD Systems

The interest for video delivery systems over the Internet has been gradually growing up last years. It has already become a major application due to client interest of video content and persistent development of network technologies. Recently, Peer-to-Peer (P2P) network plays as an important technology to implement such systems. As a fast growth in population of P2P-VoD system, user behavior is playing an increasingly crucial role in the performance of video system. This chapter proposes an efficient model for P2P-VoD system based on the analysis of the user behavior. The simulation results show that the proposed model can efficiently improve both server load and the initial playout latency.

Quantified Self Using IoT Wearable Devices

Nowadays, designing and developing wearable devices that could detect many types of diseases has become inevitable for E-health field. The decision-making of those wearable devices is done by various levels of analysis of enormous databases of human health records. Systems that demand a huge number of input data to decide to require real-time data collected from devices, processes, and analyzing the data. Many researchers utilize the Internet of Things (IoT) in medical wearable devices to detect different diseases by using different sensors together for one goal. The IoT promises to revolutionize the lifestyle using a wealth of new services, based on interactions between large numbers of devices data. The proposed work is human monitor system to track the human body troubles. Smart wearable devices can provide users with overall health data, and alerts from sensors to notify them on their mobile phones accordingly. The proposed system developed a technique using Internet of Things technique to decrease the load on IOT network and decrease the overall cost of the users. The simulation results proved that the proposed system could provide identical communication for IOT devices even if many nodes are used.

An Efficient Scheme for Video Delivery in Wireless Networks

This chapter presents a theoretical background for the history of wireless networks. It gives a comprehensive overview and performance evaluation for IEEE 802.11, 802.15 and 802.16 standards focusing on different standards and coverage area. Then, this chapter proposes an efficient scheme for P2P VoD system based on a smart recommender taking into account the analysis of the user’s behavior. The chapter describes the proposed mobility scheme that describes network entry process and channel scanning process. The proposed models are examined using different video resolutions (low and high). Then, a mobility model is presented to study the influence of different scanning schemes (light and dense) on some performance metrics like throughput, data dropped, and particularly handover latency. Finally, simulation results are documented and analyzed. The simulation results show that the proposed scheme can efficiently improve both server’s load and the initial playout latency.

A New Model for Detecting Similarity in Arabic Documents

With the hug of the information on WWW and digital libraries, Plagiarism became one of the most important issues for universities, schools and researcher’s fields. While there are many systems for detecting plagiarism in Arabic language documents, the complexity of writing Arabic documents make such scheme a big challenge. On the other hand, although search engines such as Google can be utilized, there would be boring efforts to copy some sentences and paste them into the search engine to find similar resources. For that reason, developing Arabic plagiarism detection tool accelerate the process since plagiarism can be detected and highlighted automatically, and one only needs to submit the document to the system. This paper presents an effective web-enabled system for Arabic plagiarism detection called APDS, which can be integrated with e-learning systems to judge students’ assignments, papers and dissertations. The experimental results are provided to evaluate APDS regarding the precision and recall ratios. The result shows that the average percentage of the precision is 82% and the average percentage of the recall is 92.5%.