Pure Polyaniline salt, and protonation PANI by H2SO4 were synthesized by electro-chemical oxidative polymerization of aniline with acidity of H2SO4. The solution was prepared in reaction temperature equal 291 K and the acidity of aqueous solution was 1 molarities. The prepared polyaniline was characterized by FT-IR, the result indicate that the intensity is increase with increasing of applied voltage. The dc conductivity has been measured for bulk polyaniline pure and doped in the form of compressed pellet with evaporated Ohmic Al electrodes in temperature range (303-423) K. The Eav energy of the thermal rate process of the electrical conductivity was determined. The results indicate that the dc conductivity of doped samples are two or t

Porous Silicon (PS) layer has been prepared from p-type silicon by electrochemical etching method. The morphology properties of PS samples that prepared with different current density has been study using atom force measurement (AFM) and it show that the Layer of pore has sponge like stricture and the average pore diameter of PS layer increase with etching current density increase .The x-ray diffraction (XRD) pattern indicated the nanocrystaline of the sample. Reflectivity of the sample surface is decrease when etching current density increases because of porosity increase on surface of sample. The photolumenses (PL) intensity increase with increase etching current density. The PL is affected by relative humidity (RH) level so we can use

A steganography hides information within other information, such as file, message, picture, or video. A cryptography is the science of converting the information from a readable form to an unreadable form for unauthorized person. The main problem in the stenographic system is embedding in cover-data without providing information that would facilitate its removal. In this research, a method for embedding data into images is suggested which employs least significant bit Steganography (LSB) and ciphering (RSA algorithm) to protect the data. System security will be enhanced by this collaboration between steganography and cryptography.

The study discusses ''The Security Intellectual Proposals of the Paris and the Welsh Schools'', which are considered one of the most important contemporary European monetary schools that emerged in the nineties  of the twentieth century, and how did it approach the concept of security, criticizing the traditional trend that prevailed during the Cold War period regarding limiting the concept of security to the state or to the military aspect (National Security), and an attempt to expand the concept to economic, social and environmental dimensions, as well as political and military dimensions. The most important proposals that the Wales School provided are “Security as an emancipation policy”, “ individual security”, and “The ro

This study aims to illustrate and compare the perspectives of Ibn Sahnun and    al-Kabasi about educational system. To this end, the researcher adopted the inductive-analytical approach to analyze their educational perspectives. The study included two chapters: one to give an overview of the life of Ibn Sahnun and al-Kabasi and the other to analyze their perspectives. The findings revealed Ibn Sahnun and al-Kabasi confirmed that compliance with the Islamic rules is an essential condition over all aspects. As for Ibn Sahnun pointed out to the important of teaching Quran as a basic reference and guide of Muslim daily-life skills and behaviors. On the other hand, al-Kabasi focused on the creation and religion as two-main aspe

General Background: Deep image matting is a fundamental task in computer vision, enabling precise foreground extraction from complex backgrounds, with applications in augmented reality, computer graphics, and video processing. Specific Background: Despite advancements in deep learning-based methods, preserving fine details such as hair and transparency remains a challenge. Knowledge Gap: Existing approaches struggle with accuracy and efficiency, necessitating novel techniques to enhance matting precision. Aims: This study integrates deep learning with fusion techniques to improve alpha matte estimation, proposing a lightweight U-Net model incorporating color-space fusion and preprocessing. Results: Experiments using the AdobeComposition-1k