Plagiarism Detection Techniques for Arabic Script Languages: A Literature Review

Plagiarism is generally defined as literary theft and academic dishonesty. This considered as the serious issue in an academic documents and texts. There are numerous of plagiarism detection techniques have been developed for various natural languages, mainly English. In this paper we investigate and review the plagiarism detection techniques and algorithms which have been developed for Arabic Script Languages (ASL), and providing a literature review of the utilized methods in terms of techniques and outcomes.  The result of this paper will help the researchers who are going to commence their development and extend their researches in ASL like Arabic, Persian, Urdu, and Kurdish

Biofuel From Cow Tallow: A Case Study

The global demand for energy in recent decade has been dramatic. Indeed, several oil and gas reservoirs around the world are depleted every day. Moreover, the fossil fuels for example, petroleum emitted huge quantities of toxic gases to the environment. Therefore, the passive environmental consequences of fossil fuels and the bother about fossil fuel supplies have encouraged the investigation for renewable biofuels. Thus, this work is objective to produce a biodiesel fuel from residual cow tallow that produced every day at Koya city slaughterhouse. The Koya slaughterhouse cow tallow may consider low cost renewable feed stock to produce biodiesel. Furthermore, the study has examined various process parameters for example, catalyst amount and alcohol amount as well on fuel production yield. The produced biodiesel is also subjected into several tests for instance, density and cetane number

Link quality aware routing algorithm in mobile wireless sensor networks

Wireless Sensor Network (WSN) is composed of a number of sensor nodes that interact with each other intentionally to gather information from the area of interest. The limited processing capabilities, low memory capacities and low data rate, motivate the current research studies to focus on designing energy efficient mechanisms that can extend the sensor nodes operational duration and relatively prolong the network lifetime while providing reliable data transmission. In view of the fact that the sensor nodes in wireless sensor networks are typically irreplaceable, therefore, the protocols and algorithms developed for sensor networks must incorporate energy consumption as the highest priority optimization goal. An optimal route selection will provide higher throughput and reduction in delay from the end-to-end standpoint. Link quality information can be highly useful in selecting an optimal route. The aim of this study is to develop a routing algorithm based on link quality estimator in mobile wireless sensor networks. This study investigates most of the Link Quality Estimation (LQE) approaches and identifies their strengths and weaknesses. It also investigates and identifies the limitations of some LQE mechanisms utilized in existing routing algorithms. After investigating and analyzing, a suitable LQE approach named triangle metric is found to enhance an existing routing algorithm namely RACE (netwoRk conditions Aware geographiCal forwarding protocol for rEal-time applications in mobile wireless sensor networks) in terms of delivery ratio, loss ratio and energy consumption. The enhancement is implemented in simulation environment by using simulator tool OMNeT++. The results show that RACE can be enhanced and presents better performance in terms of delivery ratio, loss ratio and energy consumption