Abdullatif Al-Shuhail , عبدالله أبوبكر عبدالله علي المشهور

كلية هندسة البترول وعلوم الأرض-جامعة الملك فهد للبترول والمعادن · السعودية

First arrival traveltime is essential to be picked accurately to enhance the efficiency of the static correction methods for both reflection and refraction data processing. The purpose of this thesis is to apply two new techniques of first arrival traveltime picking on both real and synthetic data to evaluate the advantages and limitations of each technique. The first proposed method is based on the maximum difference between adjacent points of the envelope (MDPE) of a seismic trace. This method starts by calculating the Hilbert transform of the seismic trace to generate a complex seismic trace, which consists of the real and imaginary parts. After generating the complex seismic trace, the instantaneous amplitude or the envelope is extracted and then used for picking the first arrival traveltime. We first test the MDPE method on synthetic shot records and then compare the automatically picked first arrival traveltimes based on it with those picked manually by an experienced processor. Furthermore, we perform the same test on two real shot records (6 and 25) from Yilmaz’s published assortment of worldwide real seismic data. Finally, we apply the MDPE method on 58 traces extracted from a real 2D land seismic data set from southeast Texas and compare the MDPE method and the P-phase picker method against manual picks.The second method is based on the density-based spatial clustering of applications with noise (DBSCAN). This proposed method starts by selecting a sliding window with a certain number of traces (or wavelengths) wide and samples (or periods) long. Then, a linear moveout (LMO) shift is applied for a range of velocities to compute a single time shift for each trace within the selected window and remove the dipping of first arrival events. After that, all shifted traces for each velocity value are stacked to get the output energy where the maximum output energy value is the location of the optimum velocity for the selected window. Finally, DBSCAN clustering algorithm is applied to divide the stacked gather into different clusters and select the centroid point of the maximum cluster to be the optimum apparent velocity and the first arrival traveltime location. The DBSCAN method is tested on a synthetic shot record and then compared with those picked manually by an experienced processor.

Fairouz Brahmi, Ibtissem Saidi, Taleb

كلية العلوم الاقتصادية والتجارية والإدارة-جامعة عبد الرحمان ميرة - بجاية · الجزائر

L'objectif de notre mémoire est d'essayé de déterminer le développement des activités agricoles à travers une étude monographique des deux communes Aokas et Tizi n berber. Pour cela on a fait une étude empirique pour mesurer le développement des activités agricole dans les deux communes ce qui nous a mené à conclure que chaque commune possède ces propres cultures et l'agriculture demeure toujours familiale

EL HABIB Daho Mostafa, Bendimerad El-batoul, Benikhlef Soumia, SETTOUTI Nesma

كلية التكنولوجيا-جامعة أبو بكر بلقايد - تلمسان · الجزائر

Touchant près d’un million de personnes chaque année dans le monde, la maladie deParkinson a atteint le second rang des maladies dégénératives. Ainsi, le champ de recherches’est développé énormément pour conduire à un diagnostic médical précis. L’applicationdes techniques d’apprentissage artificielle peut être une piste qui apparaît de plus en plusd’être très prometteuse. Ceci nous a amené à élaborer notre projet qui consiste à traiter lapossibilité de l’implémentation d’un système d’aide aux médecins pour la reconnaissancede la maladie dans ces stades précoces.Dans le cadre de notre projet de fin d’études, nous nous intéresserons à l’améliorationdes performances de la classification par les forêts rotationnelles. Cette méthode combinela robustesse des arbres de décision, la puissance de l’extraction des caractéristiques touten augmentant la précision et la diversité des arbres dans la forêt par l’utilisation de tousles paramètres. Les résultats expérimentaux appliqués sur la banque de données médicalesréelles (Parkinson) montrent une efficacité dans la tâche de classification avec exactitudesignificative vérifiée statistiquement.

Khalid Aniba, سلوى بوتكايوت

كلية الطب والصيدلة - مراكش-جامعة القاضي عياض · المغرب

Ahmed Alhaiki, Maheen Ali Albaqali

الجامعة الأمريكية بالبحرين · البحرين

Over the last decades, there has been considerable attention to bankruptcy prediction models and corporate failure prediction issues. The area of corporate failure prediction has turned into an important area of finance specifically because numerous scholars put forward various types of prediction model. A Logistic Regression-Based Credit Risk Model is developed to determine the creditworthiness of Aluminum Bahrain’s (ALBA) B2B customers, and it’s compared with Altman Z-score to determine with the aim of simplifying the credit risk evaluation process of the company and identifying which model has higher accuracy. The proposed model employs five financial ratios; Working Capital/Total Assets, Retained Earnings/Total Assets, EBIT/Total Assets, Market Value of Equity/Total Liabilities, and Sales/Total Assets, as independent variables to estimate the Credit Risk. A balanced dataset of 100 companies (50 approved, 50 rejected), has been given by ALBA based on ALBA's trade credit history, which is employed for model training and validation. The classification performance of the developed credit risk model is subsequently compared with that of the conventional Altman Z-Score model to ascertain which one has greater accuracy and better alignment with ALBA's credit assessment goals. Results showcased that the developed model has higher accuracy (98.04%) in contrast with the Altman Z-score model (86.21%). This research contributes a dual-model framework that reduces reliance on subjective credit evaluations, enhances operational efficiency, and introduces greater transparency in credit decisions. Overall, this thesis demonstrates how Credit Risk methodologies, both traditional and regression-based can be integrated into ALBA’s credit scoring system to objectively distinguish between financially stable and distressed clients.

احمد مصطفى الشروع, محمد سليم علويني

جامعة الملك عبدالله للعلوم والتقنية · السعودية

In this work, the problem of relay selection and resource power allocation in one- way and two-way cognitive relay networks using half duplex channels with different relaying protocols is investigated. Optimization problems for both single and multiple relay selection that maximize the sum rate of the secondary network without degrading the quality of service of the primary network by respecting a tolerated interference threshold were formulated. Single relay selection and optimal power allocation for two-way relaying cognitive radio networks using decode-and-forward and amplify-and-forward protocols were studied. Dual decomposition and subgradient methods were used to find the optimal power allocation. The transmission process to exchange two different messages between two transceivers for two-way relaying technique takes place in two time slots. In the first slot, the transceivers transmit their signals simultaneously to the relay. Then, during the second slot the relay broadcasts its signal to the terminals. Moreover, improvement of both spectral and energy efficiency can be achieved compared with the one-way relaying technique. As an extension, a multiple relay selection for both one-way and two-way relaying under cognitive radio scenario using amplify-and-forward were discussed. A strong optimization tool based on genetic and iterative algorithms was employed to solve the
formulated optimization problems for both single and multiple relay selection, wherediscrete relay power levels were considered. Simulation results show that the practical and low-complexity heuristic approaches achieve almost the same performance of the optimal relay selection schemes either with discrete or continuous power distributions while providing a considerable saving in terms of computational complexity.

إحسان محمد الحسن, صباح احمد محمد النجار

كلية الآداب-جامعة بغداد · العراق

سلطاني خولة, شیخة حفناوي

كلية الأداب واللغات-جامعة العربي بن مهيدي - أم البواقي · الجزائر

لقد حظيت الدراسات الدلالية باهتمام العلماء والدارسين منذ القديم، وكان موضوع العلاقة بين اللفظ ومدلوله من القضايا التي أولاها الفلاسفة اليونان اهتمامهم ومناقشاتهم وتأثرت تلك الدراسات بالأفكار الفلسفية والمنطقية.الترادف: وهو خاص بألفاظ المعنى، وتتجدد في صوته تعددية المدلولات واختلافها، إذ يمكن التعبير عن المعنى الواحد بألفاظ مختلفة.المشترك: وهو خاص بمجال المعاني للفظ وتتجدد في صوته تعددية المدلولات واختلافها، إذ يمكن أن تتعدد المعاني على اللفظ الواحد.التضاد: ويتحدد في تضاد أو نقيض دلائل أو المعنى للفظ الواحد، ويمكن عده جزءا من المشترك اللفظي.التقابل: هو مقابلة الثنائيات المتضادة.

عويد بن عياد المطرفي, فيصل بن عابد بن عباد اللحياني

كلية الدعوة وأصول الدين-جامعة أم القرى · السعودية

Ahmed El Aboudi, Mohamed Sbai

كلية العلوم-جامعة محمد الخامس بالرباط · المغرب