Cooperation and Underlay Mode Selection in Cognitive Radio Network

In this research, we proposes a new method for cooperation and underlay mode selection in cognitive radio networks. We characterize the maximum achievable throughput of our proposed method of hybrid spectrum sharing. Hybrid spectrum sharing is assumed where the Secondary User (SU) can access the Primary User (PU) channel in two modes, underlay mode or cooperative mode with admission control. In addition to access the channel in the overlay mode, secondary user is allowed to occupy the channel currently occupied by the primary user but with small transmission power. Adding the underlay access modes attains more opportunities to the secondary user to transmit data. It is proposed that the secondary user can only exploits the underlay access when the channel of the primary user direct link is good or predicted to be in non-outage state. Therefore, the secondary user could switch between underlay spectrum sharing and cooperation with the primary user. Hybrid access is regulated through monitoring the state of the primary link. By observing the simulation results, the proposed model attains noticeable improvement in the system performance in terms of maximum secondary user throughput than the conventional cooperation and non-cooperation schemes

Factors Affecting the Adoption of E-government in Saudi Arabia

関西学院大

Factors Affecting the Adoption of E-government in Saudi Arabia

関西学院大

A novel Watermarking Technique Based on Hybrid Transforms

This paper proposed Anovel watermarking scheme using hybrid of  Dual Tree Complex Wavelet Transform and singular value decomposition . Image watermarking is to embed copyright data in image bit streams. Our proposed technique demonestrates  the effective and robust of image watermarking algorithms using a hybrid of two strong mathematical transforms; the 2-level Dual Tree Complex Wavelet Transform (DT-CWT) and Singular Value Decomposition (SVD). This technique shows high level of security and robustness against attacks. The algorithm was tested for imperceptibility and robustness and the results were compared with DWT-SVD-based technique, it is shown that the proposed watermarking schemes is considerably more robust and effective

Forecasting Emissions of Carbon Dioxide (CO2), Methane (CH4) and Energy Consumption in Egypt Using VECM and ARIMAX Models

Greenhouse gas emissions are one of the important environmental problems in Egypt that do not harm only humans, but also contribute to climate changes all over the world. The emissions of carbon dioxide (CO2) and methane (CH4) are the most important of these emissions. The decision makers seek to use renewable energies to reduce greenhouse gas emissions. Therefore, this paper aims to measure the factors affecting CO2 and CH4 emissions in Egypt during the period from 1980 to 2019 and to predict of these emissions and energy sources from 2020 to 2030. The study applied the Vector Error Correction Model (VECM) and Autoregressive Integrated Moving Average with Exogenous variables (ARIMAX) models. The study results found that the most influential variables on CO2 gas emissions are energy consumption, gross domestic product, and international trade. It was also found that livestock production, energy consumption and agricultural fertilizers are the most influential variables on CH4 emissions. It was also found that the predictability of VECM is better than the ARIMAX model, so we can use it to predict emissions of CO2 and CH4

Blind Wavelet-Based Image Watermarking

In this chapter, the watermarking technique is blind; blind watermarking does not need any of the original images or any information about it to recover watermark. In this technique the watermark is inserted into the high frequencies. Three-level wavelet transform is applied to the image, and the size of the watermark is equal to the size of the detailed sub-band. Significant coefficients are used to embed the watermark. The proposed technique depends on quantization. The proposed watermarking technique generates images with less degradation

Path Integral Quantization of Brink-Schwarz Superparticle

The quantization of the Brink-Schwarz superparticle is performed by canonical phase-space path integral. The supersymmetric particle is treated as a constrained system using the Hamilton-Jacobi approach. Since the equations of motion are obtained as total differential equations in many variables, we obtained the canonical phase space coordinates and the phase space Hamiltonian with out introducing Lagrange multipliers and with out any additional gauge fixing condition. c Electronic Journal of Theoretical Physics. All rights reserved

Speeded Up Robust Features Descriptor for Iris Recognition Systems

اكتسبت النظم البايومترية اهتماما كبيرا لعدة تطبيقات. كان تحديد القزحية أحد أكثر التقنيات البايومترية تطوراً للمصادقة الفعالة. نظام التعرف على القزحية الحالية يقدم نتائج دقيقة وموثوق بها على أساس الصور المأخوذة بالأشعة التحت الحمراء (NIR) عندما يتم التقاط الصور في مسافة ثابتة مع تعاون المستخدم. ولكن بالنسبة لصور العين الملونة التي تم الحصول عليها تحت الطول الموجي المرئي (VW) دون التعاون بين المستخدمين، فإن كفاءة التعرف على القزحية تتأثر بسبب الضوضاء مثل صور عدم وضوح العين، و تداخل الرموش ، والانسداد  بالأجفان وغيرها. يهدف هذا العمل إلى استخدام (SURF) لاسترداد خصائص القزحية في كل من صور قزحية NIR والطيف المرئي. يتم استخدام هذا النهج وتقييمه على قواعد بيانات CASIA v1and IITD v1 كصورة قزحية NIR وUBIRIS v1 كصورة ملونة. وأظهرت النتائج معدل دقة عالية (98.1 ٪) على CASIA v1, (98.2) على IITD v1 و (83٪) على UBIRIS v1 تقييمها بالمقارنة مع الأساليب الأخرى.Biometric systems have gained significant attention for several applications. Iris identification was one of the most sophisticated biometrical techniques for effective and confident authentication. Current iris identification system offers accurate and reliable results based on near- infra -red light (NIR) images when images are taken in a restricted area with fixed-distance user cooperation. However, for the color eye images obtained under visible wavelength (VW) without cooperation between the users, the efficiency of iris recognition degrades because of noise such as eye blurring images, eye lashing, occlusion and reflection. This works aims to use Speeded up robust features Descriptor (SURF) to retrieve the iris's characteristics in both NIR iris images and visible spectrum. This approach is used and evaluated on the CASIA v1and IITD v1 databases as NIR iris image and UBIRIS v1 as color image. The evaluation results showed a high accuracy rate 98.1 % on CASIA v1, 98.2 on IITD v1 and 83% on UBIRIS v1 evaluated by comparing to the other method

The role of osteopontin in children with systemic inflammatory response syndrome and sepsis

Introduction: Sepsis is a leading cause of morbidity and mortality in critically ill children despite the use of modern antibiotics and resuscitation therapies. Sepsis must be distinguished from non-infection systemic inflammatory response syndrome (SIRS) induced by agents such as trauma and ischemia causing extensive tissue injury to establish appropriate treatments in critically ill patients. Osteopontin acts as an extracellular matrix component or soluble cytokine in inflamed tissues. Its exact role in immune response and sepsis remains to be elucidated.Objective: This study investigated the level of osteopontin in SIRS and sepsis to assess its involvement in the acute inflammatory diseases and its possible role as a marker differentiating children with SIRS from those with sepsis.Methods: Prospective, observational study at pediatric ICU at the children’s Hospital, Zagazig University, Egypt, from October 2013 to December 2014. Fortyfour patients with SIRS or sepsis and 44 healthy subjects were enrolled. All the children were subjected to detailed medical history, Clinical examination, laboratory estimation for CBC, blood cultures, serum osteopontin and IL-6 determination was performed by sandwich enzyme immunoassay technique.Results: Serum osteopontin levels were significantly higher in patients than in controls and in sepsis than in SIRS, and decreased during the resolution of both the disorders. A receiver operating characteristic curve identified that osteopontin level of 1040 ng/ml has discriminative power between SIRS and sepsis patients with 82.6% sensitivity and 70.4% specificity, area under curve was 0.833. Osteopontin levels directly correlated interleukin-6 levels and clinical severity scores.Conclusion: Osteopontin is strongly up-regulated during SIRS and sepsis and correlate with IL6 and clinical severity scores.Keywords: Sepsis, Inflammation, Osteopontin, IL-6, Cytokine