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Online Social Networks (OSNs) are a great venue for scammers to impersonate the identities of users via creating fake profiles. Fake profiles are a popular tool for the intruders which can be used to carry out malicious activities such as impersonation attacks and harming persons' reputation and privacy in (OSN). Hence, recognizing the identities of fake profiles is one of the critical security problems...
Wireless sensor network applications are composed of a vast number of inexpensive battery-powered sensors. One of its primary applications is environmental monitoring for physical phenomena in rigid areas such as forests and volcanoes. In such applications, a large number of sensors are randomly scattered by aircraft over the area of monitoring. These applications mainly depend on clustering to arrange...
This paper presents a new 8-PSK Super Regenerative Receiver operating in 402–405 MHz MICS band. The proposed topology employs minimum components to design phase detection engine. The receiver utilizes a combined Low Noise Amplifier (LNA) and Super Regenerative Oscillator (SRO) for current reuse purpose and a digital phase detection engine that extracts modulated phase information, via Latches and...
Spectrum sensing is a key technology in establishing and developing cognitive radio networks. High efficiency, reliability and real time are the most important required parameters for accurate sensing process. Wideband sensing is the main factor to achieve reliability of sensing process. Shadowing, fading and aliasing problems of signals affect the performance of spectrum sensing process therefore;...
A pre-encryption algorithm for passive ultra-high frequency (UHF) radio frequency identification (RFID) systems is described. The algorithm is based on advanced encryption standard (AES) as the core encryption technique with two extra steps; first step is random key generation and the second step is data randomization, which increase the immunity of the encryption process against attacks. The algorithm...
Negotiation gets more attention in the field of business and becomes a more critical issue especially with the increasing use of services. In web services, negotiation is important for providers to meet consumers' expectation. For consumer and provider, security is an important concern. In this paper, an efficient genetic-based security negotiation approach for web service is proposed. A prototype...
Analytical prediction of oxidative stress biomarkers in ecosystem provides an expressive result for many stressors. These oxidative stress biomarkers including superoxide dismutase, glutathione peroxidase and catalase activity in fish liver tissue were analyzed within feeding different levels of selenium nanoparticles. Se-nanoparticles represent a salient defense mechanism in oxidative stress within...
This paper proposes a new method for partitioning data clustering using PSO. The Proposed methods LPSOC designed for hard clusters. LPSOC alleviate some of the drawbacks of traditional algorithms and the state-of-the-art PSO clustering algorithm. Population-based algorithms such as PSO is less sensitive to initial condition than other algorithms such as K-means since search starts from multiple positions...
Multidimensionality is a distinctive aspect of real world social networks. Multidimensional social networks appeared as a result of that most social media sites such as Facebook, Twitter, and YouTube enable people to interact with each other through different social activities, reflecting different kinds of relationships between them. Recently, studying community structures hidden in multidimensional...
In this paper, we present a hybrid intelligent system based on Neutrosophic Logic (NL). In conjunction with Genetic Algorithm(GA) for classification. The neutrosophic logic is adapted for representing different forms of knowledge. GA is used to refine the generated neutrosophic rules. The performance of the proposed system is tested on three real-world databases Iris, Wine, and Wisconsin Diagnostic...
With the increasing impact of capital regulation on banks financial decisions especially in competing environment with credit constraints, it comes the urge to set an optimal mechanism of bank lending decisions that will maximize the bank profit in a timely manner. In this context, we propose a self-organizing method for dynamically organizing bank lending decision using Genetic Algorithm (GA). Our...
This paper presents a hybrid approach to an Automated Essay Grading System (AEGS) that provides automated grading and evaluation of student essays. The proposed system has two complementary components: Writing Features Analysis tools, which rely on natural language processing (NLP) techniques and neural network grading engine, which rely on a set of pre-graded essays to judge the student answer and...
This paper presents improvements upon a previous paper detailing an Android mobile phone application demonstrating methods for implementing or assisting traditional speech therapy techniques using mobile devices. [1] After development, the software was implemented on a Galaxy Tab, an Android tablet that, at approximately $100 per tablet, is quite affordable. The techniques are principally aimed at...
Spacecraft Attitude Determination and Control System (ADCS) is considered to be one of the most critical subsystem of the low earth orbit satellites due to the pointing accuracy required during its operation. Consequently a fast and reliable Fault Detection and Identification (FDI) technique is obtaining more significant weight meanwhile years of researches. This paper presents a procedure to ameliorate...
e-Government implementation and applications have gained a growing attention in the last decade. Countries seek to apply and extend the use of e-Government, and international organizations evaluate e-Government implementation and its impacts. The benefits of e-Government sound to be worthy while the costs of e-Government implementation sound to be costly. A clear implementation plan is a must to avoid...
This paper presents a technique for incorporating local data and membership information into the standard fuzzy C-means (FCM) algorithm. The objective function associated with the technique consists of a modified version of the standard FCM function plus a weighted regularized FCM-like one. In the first function, the Euclidian pixel-to-cluster distances are computed using the original data. However,...
Automatic Arabic sign language recognition (ArSL) and fingerspelling considered to be the preferred communication method among deaf people. In this paper, we propose a system for alphabetic Arabic sign language recognition using depth and intensity images which acquired from SOFTKINECT™ sensor. The proposed method does not require any extra gloves or any visual marks. Local features from depth and...
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