نوال حيمد, شيخة حفناوي

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

., khidir babikir Elhassan

جامعة الخرطوم · السودان

Guadjelia Zakaria, Kaàbouche Azeddine , Zaouia abdelkadir

كلية العلوم والتكنولوجيا-جامعة العربي بن مهيدي - أم البواقي · الجزائر

Les données d'équilibres liquide-liquide pour les systèmes ternaires (Chloroforme-Acétone-Eau), (Chloroforme-éthanol-Eau), (Chloroforme-Acide,acétique-Eau) et (Toluène-éthanol-Eau) ont été mesuré à des températures déterminées. Les valeurs des paramètres d'intéraction et des valeurs des coefficients d'activité ont été calculées à partir des données d'équilibres expérimentales. Le modèle de calcul des coefficients d'activité qui a été considéré est le modèle UNIQUAC.L'optimisation des paramètres d'intéraction qui entre dans le calcul des coefficients d’activité a été accomplie en utilisant l'algorithme génétique avec une fonction hybride nommée NELDER-MEAD.Le résultat de comparaison de la courbe de miscibilité du système (Toluène-éthanol-Eau) à T=18.5°C et les valeurs de l'indice de réfraction de chaque constituants avec ceux qui existent dans la littérature est acceptable.

Faiza Zermane, Omar Bouras, Leila Chabane

جامعة سعد دحلب البليدة · الجزائر

L’objectif principal de cette étude consiste à préparer, par extrusion, une nouvelle génération d’adsorbants sous forme de billes gélifiées composites renforcées et poreuses.L’alginate de sodium (AS), l’argile pontée à aluminium (AP-Al) ou au fer (AP-Fe), le polyvinyl alcool (PVA) et le carbonate de calcium (CaCO3) ont été utilisées pour préparer plusieurs classes de billes composites. Celles-ci ont été caractérisées par compression uniaxiale, spectroscopie infra rouge à transformée de Fourrier (IRTF), microscopie électronique à balayage (MEB), diffraction des rayons X (DRX) et par des mesures physico-chimiques (teneur en eau, densité, taille des billes, stabilité chimique). Leurapplication dans l’adsorption en batch puis en dynamique sur lit fixe, a montré leur grande efficacité dans l’élimination du vert malachite (VM). En mode batch, les cinétiques et les isothermes d’adsorption de VM sur ces nouvelles billes composites poreuses sont bien décrites, respectivement, par le modèle du premier ordre et le modèle de Freundlich. En réacteur continu sur lit fixe, les courbes de percée ont été étudiés et modélisées par les modèles de Thomas, de Clark et de Yoon & Nelson. L’emploi de la méthode Analyse en Composantes Principales (ACP) a permis de corréler les propriétés de porosité et rigidité des billes BRP avec celles de l’adsorption.

Azzam Mourad, Osama Mohammad Wehbi

مدرسة الآداب والعلوم-الجامعة اللبنانية الأميركية · لبنان

Federated Learning (FL) is a novel distributed privacy-preserving learning paradigm, which enables the collaboration among several participants (e.g., Internet of Things devices) for the training of machine learning models. However, selecting the participants that would contribute to this collaborative training is highly challenging. Adopting a random selection strategy would entail substantial problems due to the heterogeneity in terms of data quality, and computational and communication resources across the participants. To overcome this problem, we present in this paper Fed Mint, an intelligent client selection approach for federated learning on IoT devices using game theory and bootstrapping mechanism. Our solution involves designing (1) preference functions for the client IoT devices and federated servers to allow them to rank each other according to several factors such as accuracy and price, (2) intelligent matching algorithms that take into account the preferences of both parties in their design, and (3) bootstrapping technique that capitalizes on the collaboration of multiple federated servers in order to assign initial accuracy value for the new connected IoT devices. Based on our simulation findings, our strategy surpasses the Vanilla F selection approach in terms of maximizing both the revenues of the client devices and accuracy of the global federated learning model.

رشا نعيم ذياب, سيناء الخطيب الجشي

كلية التربية-جامعة دمشق · سوريا

Ahmed Rafea, Yassien Mohamed Shaalan

كلية العلوم والهندسة-الجامعة الأمريكية بالقاهرة · مصر

This research is directed towards automating frequently asked questions Web pages summarization, a task that captures the most salient pieces of information in answers of each question. In fact, it was found that there exists thousands of FAQ pages available on many subjects not only online but also offline as most of products nowadays tend to attach a leaflet tilted as FAQ along with its product describing their functionality and usage. Moreover, FAQ Web pages are devised into a manner of a question having a specific heading style, e.g. bold, underlines, or tagged. The answer then follows in a different lower style; usually smaller font and may be scattered to subheadings if the answer is logically divided. This uniformity in the creation of FAQ Web pages and its abundance online, made it pretty much amenable to automation.To achieve this objective, an approach, which applies Web page segmentation to detect Q/A â Question and Answer-units along with the use of some selective statistical sentence extraction features for summary generation, is proposed. The proposed approach is English language dependent.These features are namely, question-answer similarity, query overlap, sentence location in answer paragraphs and capitalized words frequency. The choice of these features was mainly influenced by the process of analyzing the different question types and anticipating the expected correct answer.The first feature â Sentence Similarity- evaluates the semantic similarity between the question sentence and each sentence in the answer. It does so by comparing word senses of both the question and answer words and then assigns each pair of words a numerical value and then in turn an accumulated value to the whole sentence.The second feature â Query Overlap-extracts the following word types; nouns, adverbs, adjectives and gerunds from the question sentence and automatically formulate a query with and count the number of matches with each of the answer sentences.The third feature -Location-gives higher score to sentences at the beginning and lessens the score to the following sentences.The fourth feature -Capitalized Words Frequency- computes the frequency of capitalized words in a sentence. We give each feature a weight and then linearly combine them in a single equation to give a cumulative score for each sentence. The different document features were combined by a home grown weighting score function. It was found that using each of the features solely performed well in some cases based on different kinds of evidence. Pilot experimentations and analysis helped us in obtaining a suitable combination of feature weights.The thesis proposes three main contributions. First, using the proposed feature selection combination is a highly preferable solution to the problem of summarizing FAQ Web pages. Second, utilizing Web page segmentation, enables the differentiation between the different constructs resides in Web pages, which enables us to filter out those constructs that are not Q/A. Third, detect those answers which are logically divided into a set of paragraphs under smaller headings representing the logical structure. Thus generating a conclusive summary with all paragraphs included.The automatically generated summaries are compared to summaries generated by a widely used commercial tool named Copernic Summarizer 2.1 . The comparison is performed via a formal evaluation process involving human evaluators. In order to verify the efficiency of our approach we conducted four experiments. The first experiment tested the summarization performance quality of our system against the Copernic system in terms of which system produces readable short quality summaries. The second experiment tested the summarization quality with respect to the questions' discipline. The third experiment to measures and compares the human evaluators' performance in evaluating both summarizers. The fourth experiment analyzes the evaluators' scores and their homogeneity in evaluating our system and the Copernic system as well. In general, it was found out that our system â FAQWEBSUMM- performs much better than the Copernic summarizer. The overall average scores for all pages indicate that it is superior to the other system by approximately 20% which is quite promising. The superiority comes from the idea of knowing the web page structure in advance that helps in reaching better results than applying a general solution to all types of pages.Keywords: Web Document Summarization, FAQ, Question Answering and Web Page Segmentation.

Ibrahim Elbashir Mohammed Ibrahim , Abdullah Abdulstar Abdullah Hammadi, Ahmed Eltayeb Daffalla Eltayeb

كلية العلوم الزراعية-جامعة الجزيرة · السودان

Nitrogen is one of the major nutrients that enhances the metabolic processes that leads to increases in growth and yield of crops. Also, the time of nitrogen application affects seed yield of sunflower and reduces N losses. The objective of the current study was to investigate the effects of nitrogen levels and time of application on growth, seed yield, yield components and oil content (%) of sunflower. Field trials were carried out at the experimental farm of the Faculty of Agricultural Sciences, University of Gezira, during summer and winter seasons of 2017/18. A total of 12 treatments, namely, four nitrogen levels (0, 43, 86, 129 Kg N/ha)) and three times of nitrogen application, namely at early and at budding, at early and at flowering and at budding and at flowering were used. A randomized complete block design with three replicates was used. The cultivar used during the two seasons was Hysun-33. Results indicated that nitrogen treatments had significant effects on plant height ,LAI, total fresh and dry weights of plants , number of seeds/plant, 1000 seed weight, empty seeds (%),seed yield/ha and oil content (%) in both seasons. Time of N application had significant (P≤0.05) effects on plant height, fresh and dry weights, number of seeds/plant and oil content (%) in both seasons and on 1000 seed weight and seed yield/ha in summer season only. The highest seed yield (2852.43kg/ha) was obtained when 86 kg N /ha was applied at early and at flowering in summer season and (2373.64 kg/ha) when 129 kg/ha was applied at budding and at flowering in winter season. However, the control treatment produced significantly (P ≤ 05) the highest oil content in summer season and zero or 129kg N ̸ ha at budding and flowering in winter season. It is recommended to apply 43 kg N /ha at early and at flowering or at budding and at flowering in summer and winter seasons, respectively, for the highest seed yield. In order to produce the highest oil content, it is not recommended to apply N under Gezira conditions, Sudan.

سليمان محمد يوسف , محمد عقلة الحسن

كلية الشريعة-جامعة جرش · الاردن

Aissa Boukhiar , Feriel Salhi , Yasmine Kecham

كلية التكنولوجيا-جامعة أمحمد بوقرة - بومرداس · الجزائر