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Network performance is one of the most important entities in today’s long-distance networks. TCP congestion control mechanisms play an important role in these networks. Most of the current TCP congestion control mechanisms which are also known as TCP variants, detect congestion and slow down the packets transmission to avoid further congestion in the network. In this paper, three classes...
The combination of ontology based context-awareness and machine learning context classification is an interesting research area. The determined contexts are obtained using semantic reasoning based on context ontology developed by expert using domain specific rules. This reasoning suffer challenges of soundness and completeness in real-time deployment. This paper addresses the aforementioned challenges...
The economy being highly based on agriculture demands innovative and reliable methods of irrigation. The shortcomings of manual methods of irrigation can be rectified using automated process. This paper presents the idea of automatic irrigation method and the following research sustains this idea. The task of automatic irrigation is done through assistance of soil moisture sensors. In the project,...
The Gulf Cooperation Council (GCC) countries have over 50% and 30% of global oil and gas reserves respectively and have therefore traditionally relied on fossil fuels to meet all their energy requirements. In recent years however there has been a realization to diversify their energy mix and tap on their rich solar energy potential. While buildings account for as much as 80% of the total national...
Saudi Arabia has high per capita electricity usage, amounting to around 9000 kWh/year. The residential sector accounts for almost 52% of the total national electricity consumption and the energy demand from it is expected to double by 2025. The associated environmental and economic pressures advocate for an improvement in energy consumption patterns by means of energy efficiency strategies. Currently,...
Mobile robot platforms equipped with olfaction systems have been used in many gas sensing applications. However, in-field validation of mobile robot olfaction systems is time consuming, expensive, cumbersome and lacks repeatability. In order to address these issues, simulation tools are used. However, the available mobile robot olfaction simulations lack models for remote gas sensors, and the possibility...
An accurate model of gas emissions is of high importance in several real-world applications related to monitoring and surveillance. Gas tomography is a non-intrusive optical method to estimate the spatial distribution of gas concentrations using remote sensors. The choice of sensing geometry, which is the arrangement of sensing positions to perform gas tomography, directly affects the reconstruction...
Content comprehension in text is one of the challenges in natural language processing. Understanding text at a low level has become increasingly relevant due to the surge in the amount of content on the web space, where most of it is stream data. In our case, data streams are considered to be an ordered sequence of short and noisy textual messages that are read once or fewer number of times, for example...
The Wi-Fi Direct technology was proposed by Wi-Fi Alliance in order to facilitate device-to-device communications in Wi-Fi. The Wi-Fi Direct technology offers new possibilities to deploy opportunistic and cooperative networks. The actual state of the Wi-Fi Direct specification lacks optimization for P2P grouping and creating opportunistic networks. In this paper, we present a new P2P group formation...
Background: Hepatocellular carcinoma (HCC) and Cholangiocarcinoma (CC) are primary liver cancers. HCC develops in hepatocytes while CC originates from bile duct epithelium. Due to the lack of early diagnosis, the incidence of HCC and CC are ever increasing and providing effective therapy to the patients suffering from these cancers have increasingly become difficult. The significance of clinical diagnosis...
Vehicle Make and Model classification is an important part of Intelligent Transportation System. In this work, we have proposed a method based on Linear Support vector machine to solve this problem. Scale Invariant Transform Feature (SIFT) algorithm is used in this work to extract and represent local interest points. Bag of words model is used to represent the local features as fixed length vector...
Studies of virus propagation models have significant impact on the development of effective procedure for sustainable safeguard against complicated and emergent computer security threats for individuals as well as organizational systems. These threats act as expert of disguise and manipulation in order to evolve innovative ways to spoil, upset, steal and harm information and resources. The computer...
Feature selection and discretization have been considered to be an important research topic in the field of pattern recognition and data mining. However, addressing both these issues at a time is rarely discussed in the existing research. In this paper, these issues have been addressed by developing a heuristic namely discretization and selection of features based on mutual information (DSM). Experimental...
Wi-Fi Direct is a new protocol that standardizes the direct communication between Wi-Fi enabled mobile devices without requiring an access point. The specification proposes enhanced peer-to-peer functions to be supported by the mobile devices. A P2P device becomes a group owner for a set of client devices forming a P2P Group. All devices in the P2P Group then communicate to each other and connect...
Network intrusion detection is critical component of network management for security, quality of service and other purposes. These systems allow early detection of network intrusion and malicious activities; based on this detection, appropriate actions can be applied to manage these attacks. Several network intrusion detection systems are proposed and evaluated and many of them are currently in use...
Cognitive Radio (CR) has emerged as an intelligent technology to deal with spectrum scarcity. This research aims to simulate our already published research paper “DDH-MAC: A novel Dynamic De-Centralized Hybrid MAC protocol for Cognitive Radio Networks”. We have assessed the efficiency of the protocol by using a network simulation tool, OPNET 14.5 modeler. The simulation results were then compared...
Cloud definition says "everything is available everywhere at any time". As cloud computing evolves to accommodate future technologies, inter-cloud ecosystem is started to be required as a necessary architecture. Although there are some proposals presented to manage the inter-cloud but no one guarantee a lock-free, interoperable and federated ecosystem. Conducted research is biased and cloud...
We present a simple dynamical model for the transmembrane potential in non-excitable mammalian cells. This model allows us to mimic the effect of nanoparticles on the transmembrane potential, by decreasing the permeability of potassium ion channels. We show that our model agrees with the trends observed in our experiments. However, it also exhibits opposing trends under certain conditions, which were...
This paper investigates a technique to design small size UWB antennas. The technique is named as Relative Size Reduction Technique (RSRT). The technique has been applied to three reference antennas, and it is observed that maximum reduction of about 53% in the antenna size is achieved without significant deterioration in antenna radiation properties. It is also shown that this technique works equally...
Indoor positioning has been getting more attention of researchers for academic as well as industrial point of view. However, because the propagation of Wi-Fi signals is greatly affected by the serious NLOS (non-line-of sight) effect for indoor environment. Therefore, the accuracy measure is deteriorated due to random NLOS effect in indoor wireless communication. In this paper, we propose a localization...
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