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التحولات في سياسات الهجرة واللجوء وتأثيرها على الأمن القومي للدول الأوروبية
No full text تعتبر ظاهرة الهجرة رد فعل طبيعي من قبل الكثير من الناس التي وجدت الحروب والصراعات في بلادها ولم تعد الحياة العادية ممكنة، فكلما كبرت تلك الصراعات والمشاكل كلما مهدت الطرق نحو الهجرة وترك البلاد هنا واللجوء هناك بغض النظرعن الأهداف والأسباب، وفي آخر المطاف فتصبح مغادرة البلاد والتوجه نحو المجتمع الجديد . الهدف المحوري وقد كانت قضايا الهجرة غير الشرعية واللجوء كمثل الانقسامات العرقية والإثنية وتزايد حركات التطرف والإرهاب أخذت اهتماما أكبر بعد انتهاء الحرب الباردة .
لقد تحوّلت العديد من القضايا ذات الطابع الاقتصادي إلى قضايا ذات أبعاد سياسية وأمنية بالدرجة الأولى. وعند مناقشة المخاطر التي يتعرض لها اللاجئون والمهاجرون خلال رحلاتهم نحو الحدود الأوروبية، وجّه عدد من المحللين المسؤولية إلى السياسات المتبعة من قبل الدول الأوروبية. ومع هذا التحول، أصبح البعد الأمني حاضراً بقوة في تناول هذه القضايا، حيث تصاعد الربط بين الأمن الداخلي والأمن الخارجي للدول
انتهاء عقد التأمين من الانتحار
No full text يمثل عقد التأمين على الحياة أحد العقود المهمة التي تهدف إلى تحقيق نوع من الطمأنينة والاستقرار للأفراد من خلال ضمان تعويض مادي للمستفيدين في حالة وفاة المؤمن عليه إلا أن تحقق الوفاة نتيجة الانتحار يثير جدلاً قانونيًا وأخلاقيًا واسعاَ حول مدى أحقية المستفيد في استلام مبلغ التأمين ولا سيما في ظل وجود شروط ضمنية أو صريحة في وثائق التأمين تستثني هذا النوع من المخاطر.
ويتجلى الإشكال بشكلٍ خاص في الحالات التي يقع فيها الانتحار بعد مدة معينة من سريان العقد أو حين يكون ناتجاً عن اضطرابات نفسية تفقد الشخص إدراكه الكامل لأفعاله مما يفتح الباب أمام تأويلات قانونية متعددة وتختلف النظم القانونية بين من يُسقِط حق المستفيد بشكلٍ مطلق في حالة الانتحار ومن يمنحه الحق إذا ثبت أن الانتحار لم يكن ناتجًا عن إرادة حرة واعية وهل عقد التامين من الانتحار له مدة محددة ينتهي بها ؟
لذلك جاء هذا البحث ليتناول انقضاء عقد التأمين من الانتحار كمخاطر مؤمنة ، مستعرضًا الأبعاد القانونية والإثباتية والنصوص التشريعية ذات العلاقة ، وموقف الفقه والقضاء من هذه المسألة
The Role of Cloud Technologies in Improving Enterprise Data Management: A Case Study of Intelligent Business Applications
No full textData has become a consumer asset in the digital age, requiring innovative solutions for storage, processing and analysis. Cloud computing has emerged as a transformative technology that enables organizations to better manage large amounts of data and improve business flexibility by reducing costs This paper presents case studies of intelligent business applications (IBAs) such as customers relationship management (CRM) and enterprise resource management (ERP) systems -Examine how they improve data management Studies show that cloud integration gives organizations real-time data access, scalability, and advanced analytics capabilities, and enables them enable faster and more accurate decision-making Despite the obvious benefits, challenges remain such as data protection, privacy, and compliance with regulations such as the GDPR and CCPA. This study identifies these challenges and proposes solutions, including improved encryption, access control, and hybrid cloud models. The findings suggest that future advances in cloud technologies such as AI, blockchain, and edge computing will further increase the efficiency, security, and scalability of cloud-based enterprise data
Virulence test of Rhizoctonia solani and Macrophomina phaseolina in cucumber root rot disease
No full textThe effect of treatments on leaf area, the Salcylic + Tricoderma treatment gave the highest leaf area of 206.20 cm2, and the Bacllis subtulas treatment gave the lowest leaf area of 147.07 cm2 compared to the contaminated comparison, which gave a leaf area of 113.46 cm2 compared to the healthy comparison, which gave a leaf area of 218.70 cm2.
As for the effect of treatments on plant length, the healthy comparison treatment gave the highest plant length of 186.16 cm, followed by the Salcylic + Tricoderma treatment, which gave a plant length of 178.00 cm compared to the contaminated comparison treatment, which gave the lowest plant length of 115.50.
As for the effect of treatments and fungi on the fresh green weight, the healthy Control treatment gave the highest fresh green weight of 976 g, followed by the Salcylic + Tricoderma treatment, which gave a fresh green weight of 930 g compared to With the control treatment, the pollutant gave the lowest fresh green weight of 576.33 g
Detecting malicious data using deep learning
No full textTraffic classification is a fundamental task in network anomaly detection and intrusion prevention systems. By accurately identifying the types of traffic traversing a network, security professionals can detect and mitigate various threats, such as malicious attacks, unauthorized access, and network congestion. Traditional methods of traffic classification often rely on handcrafted features, which can be time-consuming and prone to errors.
In this research, we present a novel approach that leverages artificial intelligence to streamline and improve the process of traffic classification. Specifically, we propose a convolutional neural network (CNN) model that directly processes raw traffic data as images. This eliminates the need for manual feature extraction, which can be a laborious and error-prone task.
Our CNN model is designed to capture the underlying patterns and characteristics of network traffic. By processing raw traffic data as images, the model can learn to identify distinctive features that differentiate various traffic types
A Fuzzy Synthetic Evaluation Approach for Knowledge Management Assessment in Iraqi Governmental Companies
No full textManagement has emerged as one of the pillars of this field. Given that the construction sector is one of the main pillars and levers of the economy, the application of this process plays a significant and broad role .Through this research, we studied aspects of knowledge management in the construction sector in Iraq, examining aspects in terms of knowledge creation ,organization, and distribution, as well as the process of knowledge application . This was conducted in four government-owned companies in Iraq and we used a questionnaire as a means of gathering information, which included 44 specialists. We concluded that the strengths of these government-owned companies lie in the area of knowledge application as well as the process of knowledge creation and distribution. The weaknesses that pose a challenge to them are the process of knowledge distribution. We came up with recommendations to enhance these strengths and address weaknesses through the use of a fuzzy synthetic assessment
Adaptive Fuzzy Logic Speed Control of SRM in Hysteresis Current Control Mode
No full textThe “switched reluctance motor” SRM can be operated in many modes based on the desired application that employs such kinds of motor. The SRM speed in each mode can be controlled. Thus, it’s better to select the fast response speed control method with the lowest torque ripples and speed variations. The aim of the current research is to enhance the SRM speed control by that works in “hysteresis current control” HCC mode. The SRM speed is regulated by a “fuzzy logic controller” FLC. The role of the speed control signal by FLC is compared with the SRM position sensor to produce a reference current signal. This signal is fed to a hysteresis band to control the speed of the motor. This method of speed is referred to as HFLC. In this paper, another approach is made by replacing the hysteresis band with a hyperbolic tan function for more smooth in system control. This method is called TanHFLC. The results showed that the speed control in TanHFLC is faster by 6.2 %, and current and torque ripples are less by 10.9% and 20.8%, respectively. This work is simulated by the “MATLAB Simulink” software successfully at several operating conditions
Accurate and High Security of IoT System using Machine Learning Algorithms
No full textThe network computing device that work and communicated without human interference is referred to term of “Internet of Things” (IoT). Currently, this technology is the utmost excite area of computing with its application in numerous areas like city, home, infrastructures, hospital, and transportations. The security issue surrounds IoTs device increased as they develop. In order to addressed this issue, this paper present a new idea for enhance the security of IoTs system by use machines learning (MLs) classifier. The suggested methods analyze latest technology, security, intelligent solution, and vulnerability in MLs IoTs-base intelligent system as an vital technologies to develop IoTs security. This paper illustrate the benefit and limitation of apply the MLs in an IoTs environments and provide a security models depend on MLs that manage originally the increasing numbers of security issue associated to the IoT domains. In addition, this approach suggests an ML-base security models that independently handle the rising numbers of security issue related to the IoT area. This investigation introduced a significant contributions by developed a cyber-attacks recognition solutions for IoTs device by use machine learning algorithms. Many ML algorithms has been used to classify the greatest accurate classifier for their AI-base reactions agent implementations stage, which could recognize attacks activity and pattern in network connecting to the IoTs. The suggested approach realized 99.98% accuracies, 99.97% detections, and 99.93 F1 scores, compare to the current methods. Also, this paper highlight the outperforming previous ML-based model in term of implementation speeds and accuracies and proves that the proposed method outperform preceding ML-based model in performance accuracy and time.
Parallel Program for calculation of the Matrix determinant of the Nth order
No full textAnalyze the possibilities of implementing a parallel algorithm for calculating the determinant of the Nth order (by modifying it to a suitable form). Design and implement (in C/C++) a solution based on sending messages between nodes using the PVM system library. Distribute the load between nodes so that the calculation time is as small as possible. Find out how the execution time and calculation acceleration depend on the number of nodes and the size of the problem (provide a table and graphs). Based on the results, estimate: the communication latency, for what size the task is (well) scalable on a given architecture, and what is the maximum size at which the calculation is still bearable on the available architecture. Discuss the advantages and/or effectiveness of parallel implementation of individual algorithms. If the solution requires it, use files for input and output of matrices where the row of the matrix corresponds to the row of the file and the column values are separated by spaces or tabs. Unless otherwise stated, work with real number
Thermal performance and pressure drop for solar Particles
No full textParticle-based heat transfer fluids offer transformative potential for next-generation Concentrated Solar Power (CSP) systems but face unresolved challenges in balancing thermal efficiency against hydraulic losses. This study experimentally characterizes the thermal performance and pressure drop of three industrially relevant particles—silica sand, sintered bauxite, and engineered ceramic mix—under concentrated irradiance (800–1000 W/m²) and flow velocities (0.5–3.0 m/s). A modular solar simulator facility measured Nusselt numbers (Nu) and dynamic pressure drops (ΔP) while controlling particle mass flow (5 g/s) and air velocity, with instrumentation uncertainties rigorously quantified per GUM guidelines. Results demonstrate bauxite’s thermal superiority, achieving 142.6 Nu at Reynolds number 4500—63.5% higher than silica sand—due to its high conductivity (0.35 W/m·K) and spectral absorptivity (0.92). The ceramic mix delivered optimal hydraulic performance, reducing ΔP by 35.2% versus bauxite at 1.5 m/s through enhanced sphericity (0.94). A novel correlation Nu = 0.597Re⁰·⁶⁵⁴ψ⁰·²⁰¹ predicted experimental data within ±0.23% error, resolving morphology-dependent heat transfer previously unaddressed by classical models. Trade-off analysis revealed bauxite maximizes efficiency at high irradiance (78.2% at 1000 W/m²), while ceramic mix achieves Pareto-optimality at medium flux (71.5% efficiency, 810 Pa ΔP). For commercial deployment, bauxite is recommended for power towers (>800°C), ceramic mix for parabolic troughs, and sub-200μm particles should be avoided to control pressure losses. This work provides the first physics-based selection framework for particle receivers, advancing toward cost-competitive CSP with thermal storag