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قمنا في هذا البحث باتباع نهج تحليل المشاعر المعتمد على المعجم لتحديد التوجه العام للطلاب، ايجابي او سلبي او محايد، اذ قمنا بداية ببناء معجم مشاعر انطلاقا من بعض المعاجم المعدة مسبقا ليتم اعتماده في عملية تحليل المشاعر، ثم قمنا بوضع نموذج يوجد رأي الط لاب العام بالاعتماد على المعجم السابق، يعالج النموذج الكتابي الكلمات التي تزيد من حدة المشاعر والرموز التعبيرية وبعض حالات النفي، وقمنا باضافة تفاعلات المستخدمين الأخرين مع المنشورات عند ايجاد التوجه العام بهدف اخذ أراء الطلاب الذين لم يعبروا عن أرائهم بنصوص مكتوبة.
In this research work, the performance of the measurement system (TDLAS) has been improved, it was connected to the computer for acquisition and processing data using the programming language MatLab. The internal surface of the cavity was coated by p araffin wax, adsorption is significantly lowered. This system has been employed to measure the concentration of ammonia in exhaled breath for 20 healthy volunteers in two cases (fasting and non-fasting), and 36 volunteers with chronic renal disease (before hemodialysis).
الشبكات المعرفة برمجيا SDN هي عبارة عن بنية شبكية جديدة توفر التحكم المركزي بكامل الشبكة. يعمل هذا المتحكم كنظام تشغيل يقوم بإرسال التعليمات وتطبيق التغييرات من خلال الواجهات التخاطبية بينه وبين الأجهزة المسؤولة عنها ويدعى بالمتحكم.
This research seeks to localize the technology of plasma arc welding (PAW), the best alternative against tungsten arc welding (TIG). So a quantitative comparison between these two technologies has been made, according to the particular case that is DC current. involving heat efficiency, heat input, tensile strength, relative elongation at fracture, micro hardness and angular distortion.
Modified resole resin/short silica fiber composite materials have been prepared. The resole resin was synthesized and then blended with Polyvinylbutyral (PVB) polymer with different weight ratios to reduce its brittleness. The mechanical, thermal and physical properties of Resol- PVB blends were studied to characterize these blends and select the most appropriate mixing ratio of polyvinyl butyral with resole resin, which was identified at 15 phr of polyvinyl butyral for every 100 parts of resole resin.
In the present work, we present our Arabic Semi-Syllable Synthesizer. The work consists of seven steps: (1) building a Semi-Syllable Speech Database for Arabic Semi-Syllable Synthesizer, (2) building the Natural Language Processing Module which compr ises a Text Pre-processing Module and a Text to Phoneme conversion using Arabic Transcription from Orthographic to Phonemes, (3) followed by a Phoneme to Semi-Syllables Mapping using a Syllabification Expert System, (4) an Acoustic Word Stress Analysis for Continuous Arabic Speech based on the three prosodic parameters (fundamental frequency, intensity, duration) in order to detect stressed syllables.
We will see in the following study: •The importance of wireless sensor networks and their applications •The importance of quality of service in particular، reducing energy consumption •The need for a simple routing protocol that minimizes energy consumption as much as possible، and we will count on LEACH •Improve the quality of service offered by the LEACH protocol by studying several scenarios for improvement
In general, the aim of an automatic speech recognition system is to write down what is said. State of the art continuous speech recognition systems consist of four basic modules: the signal processing, the acoustic modeling, the language modeling and the search engine. While isolated word recognition systems do not contain language modeling, which is responsible for connecting words together to form understandable sentences.
Student dropout is a serious problem in education, there are many factors that can influence student dropout so it is not an easy issue to resolve. The scope of this research is to examine the accuracy of the ensemble techniques for predicting the st udent dropout, particularly for primary school students in the Syrian Arab Republic. The new classifier is designed based on the ensemble techniques “Stacking” and application of techniques Feature Selection where the database suffers from the problem of imbalance. This new classifier has been compared with individual ones by using the Cross-Validation technique, the study concluded that the proposed classifier is the best among the others that have been compared to predict the student dropout.
Decision making process have to be much more accurate and careful. Therefore, decision makers depend on what-if analysis systems to predict an impact of a specific scenario. Usually, previous what-if analysis models in the literature have been direc ted just to predict an impact of a specific scenario. Therefore, our main goal in this approach is to enhance what-if analysis to suggest the best scenarios, in addition to predict their impacts. Affordable offers are one of the best ways to increase the revenue in telecom companies. Decision makers can predict a potential revenue before launching an offer, depending on what-if analysis system. This research depends on enhanced k-means algorithm to categorize customers into segments of the same behavior or usage.
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