A Parametric Study of Thermochemical Energy Storage Using Chemical Looping For Concentrated Solar Power (csp) Plants

The use of conventional fossil fuels to generate power has caused great harm to the environment. These fossil fuels, when burnt, release copious amounts of CO_2, causing global warming. Therefore, it is imperative that current energy sources are substituted with renewable energy sources. However, the critical obstacle with renewable energy sources is their intermittency. Solar energy is being captured through photovoltaic plants and concentrated solar power plants. Photovoltaic plants use batteries, which makes the storage of energy limited. Furthermore, an alternative downside is that the constant use of many batteries will considerably increaseincrease the project’s cost. Concentrated solar power plants utilize thermal storage systems which have the potential to store energy efficiently. Among the thermal storage systems present, Thermo-chemical energy storage is an area of study that can answer the storage problems of renewable energy owing to its high energy density. Thermo-chemical energy works on reversible chemical reactions in which energy is absorbed or released. Calcium Carbonate and Ammonia have proven to be two promising chemicals in the chemical looping process. Previous studies were predominantly focused on improving the reactor design and increasing the reactivity of the materials. There is not enough research in the field of parametric study for TCES. This study investigates the effects of operating parameters for a proposed concentrated solar power plant that uses TCES. With the results acquired, a comparison between the Ammonia looping and Calcium looping methods can be made. Furthermore, improvements in the existing systems can be attained, which will focus on upgrading the performance characteristics of the power plant. The results determined that Ammonia looping gives better performance characteristics for the chosen system. As these TCES systems involve chemicals operating at high temperatures, it was considered optimal to introduce poly-generation, which would produce dry steam that can be used to treat chemically contaminated water

The Intelligent Agent and Dubai Legislature Situation from Legal Action Made through Intelligent Agent

This research has come to spotlight on vital role for intelligent agent and services provided, And to found the trace out of it actions on users. Dubai e-commerce act considers i-agent as communication media, such as Telephone, Fax. Therefore they don’t give it legal personality. In addition to legislature didn’t regulate programmer liability in provisions of law

Evaluation of fiber-optic sensing performance for embedded thermal monitoring of electric machinery wound components

This paper investigates the thermal monitoring performance potential of fibre-optic (FO) thermal sensors embedded into the structure of random wound coils. The implications of FO sensor packaging and installation procedure on thermal monitoring performance are assessed on a prototype coil in a series of laboratory experiments in a controlled thermal ambient. It is shown that, while the procedure of embedding the FO sensor into the coil structure alters its operational characteristics to an extent, the resulting in-situ hot spot thermal monitoring provides a reliable output when benchmarked with conventional thermocouple measurements

The Effects of Selling Property at Auction by Ordinary Creditor Barrier on Mortgagee Creditor Rights Analytical Study in Jordan Execution Law

The study titled The Effects of Selling Property at Auction by Ordinary Creditor Barrier on Mortgagee Creditor Rights has toke place under the provisions governing the sale of ordinary creditor barrier contained in Execution law. The study has concluded that the Jordanian legislature did not take into account in organizing the sale of real estate by auction by the ordinary creditor barrier guarantees that in law of an immovable security for debt, including minimum bidding began. So does the creditor, if the mortgagee creditor and debtor collusion only recourse to annul the sale, leading to wasted time, effort and money.  The legislature did not indicate a situation which action of contract or by auction and the impact on the debt secured by the mortgage, which affects the result on the right of the mortgagee creditor intervention or further implementation. The study concluded that a set of recommendations that wished the Jordanian legislature to be adopted

the attitude of people Andalusia on the spread of the Hanafi doctrine ( a historical study)

I have dealt with in this research a study (the attitude of people Andalusia on the spread of the Hanafi doctrine - a historical study), which is considered one of the most important topics that solves some Islamic doctrines problems such as ; its emergence, and the reasons for their spread in some Islamic cities while it is declining in other cities. The study of this topic is different from previous studies, which dealt with Islamic doctrines of thought in the land of Andalusia such as a jurisprudential study, the definition of its origins, its approach, and its jurisprudential opinions. The Hanafi doctrine is considered one of the first Islamic doctrines, and the most widespread in the Islamic countries like of the other cities, which opened their doors to this doctrine until it is spread and settled in it, and became the controlling  to  all aspects of life in these cities. Although the country of Andalusia was at the beginning of its era, it was affected by the Islamic East in various aspects, but it did not open its doors to this doctrine. I showed in this research the reasons for the non-proliferation of the Hanafi doctrine of thought in the country of Andalusia, which were political, scientific, social and geographical reasons

Systematic development of real-time driver drowsiness detection system using deep learning

Advancements in globalization have significantly seen a rise in road travel. This has also led to increased car accidents and fatalities, which become a global cause of concern. Driver's behavior, including drowsiness, contributes to many of the road deaths. The main objective of this study is to develop a system to diminish mishaps caused by the driver's drowsiness. Recently deep convolutional neural networks have been used in multiple applications, including identifying and anticipate driver drowsiness. However, limited studies investigated the systematic optimization of convolutional neural networks (CNNs) hyperparameters, which could lead to better anticipation of driver drowsiness. To bridge this gap, a holistic approach based on the deep learning method is proposed in this paper to anticipate the drivers' drowsiness and provide an alerting mechanism to prevent drowsiness related accidents. To ensure optimal performance achievement by the system, a database of real-time images preprocessed via Haar cascade's classifiers is used to systematically optimize the CNN model's hyperparameters. Different metrics, including accuracy, precision, recall, F1-score, and confusion matrix, are used to evaluate the performance of the model. The training evaluation results of the optimal model achieved an accuracy of 99.87%, while the testing results accurately classify the drowsy driver with 97.98%

THE RELATIONSHIP BETWEEN PREVIOUS QUALIFICATION CHARACTERISTICS AND UNIVERSITY GRADUATES USING ASSOCIATION RULES

تبحث هذه الدراسة في عوامل الارتباط بين المؤهلات السابقة وخريجي الجامعات الخاصة باستخدام تعدين قواعد الارتباط. أجريت التجارب على مجموعة بيانات حقيقية تضم خريجين من ثلاث جامعات خاصة. تم استخدام FP-Growth لإنشاء قواعد الارتباط في التجارب. وكانت معايير تقييم الأداء هو الحد الأدنى من الدعم والذي كانت قيمته 0.10 والحد الأدنى من الثقة وكانت قيمته 0.95. تشير النتائج إلى وجود علاقة قوية بين خريجي الصيدلة المتفوقين والذين كان تعليمهم السابق عبارة عن دبلوم في الصيدلة.This study investigates the correlation factors between previous qualification and graduates of private universities using association rules mining. The experiments were conducted on a real dataset comprising graduates from three private universities. FP-Growth was utilized to create association rules in the experiments. The performance assessment criteria were a minimum support of 0.10 and a minimum confidence of 0.95. The findings suggest a strong relationship between high-achieving pharmacy graduates and whose previous education was a diploma in pharmacy

DISCOVER THE ATTRIBUTES AFFECTING GRADE OF UNIVERSITY STUDENT THROUGH FEATURE SELECTION METHODS

هناك العديد من التقنيات لاختيار ميزات المجموعة الفرعية. هذه المرحلة هي المعالجة المسبقة لمهمة التنقيب عن البيانات. تُعرف عملية اختيار مجموعة فرعية من السمات من المجموعة الأصلية من السمات باسم اختيار السمات. يعد الحصول على المعلومات ذات الصلة للتنبؤ بالخصائص التي تؤثر على تقدير المعدل التراكمي لخريجي الجامعات الخاصة مهمة صعبة. أُجريت التجارب على أربع مجموعات بيانات. تم استخدام طريقتين لاختيار الميزات. وهما CfsSubsetEval وترتيب الارتباط. يستخدم تصنيف الارتباط 0.1 كعتبة لاختيار الميزة. تشير النتائج إلى وجود علاقة بين درجة الطالب في المؤهل السابق ودرجته عند تخرجه من الجامعة ومع ذلك، أدت هذه الاستراتيجيات إلى ترجمات غير مرضية.There are many techniques to choose subset features. This stage is the preprocessing of the data mining task. The process of choosing a subset of features from the original collection of attributes is known as feature selection. Obtaining relevant information to predict characteristics affecting the estimation of the CGPA of graduates of private universities is a hard task. The experiments were conducted on four datasets. Two methods are used in order to choose the features. They are CfsSubsetEval and Correlation Ranking. Correlation Ranking uses 0.1 as the threshold for feature selection. The results indicate that there is a relationship between a student's grade in the previous qualification and his grade when he graduates from the university

Variation in carotid-femoral pulse wave velocity, augmentation pressure and augmentation index during different phases of menstrual cycle: Indicators of arterial stiffness during phases of menstrual cycle

Physiological variation of estrogen and progesterone during menstrual cycle is well known.  They not only have an effect on blood pressure control, but also seem to have a role in regulating arterial compliance. This study was done to find out whether there are any changes in central arterial parameters during different phases of menstrual cycle. Thirty female  subjects  in the  age  group  of  18-22  years  with  normal,  regular menstrual  cycles  participated in this prospective observational study at our teaching hospital. Anthropometric parameters were recorded.  Blood pressure in all 4 limbs was recorded using cardiovascular risk analyzer-Periscope™ on Day 3rd to 5th (follicular phase), Day 12th to 14th (ovulation phase), Day 22nd to 24th (luteal phase) of their menstrual cycle. We collected blood samples during these three phases for estimation of estradiol and progesterone by ELISA technique. Analysis of variance and correlation statistics were done using SPSS 17.0 statistical software. No significant statistical changes were observed in systolic blood pressure, diastolic blood pressure, mean arterial pressure, pulse pressure, aortic systolic pressure, aortic diastolic pressure, aortic augmentation pressure, aortic index and pulse wave velocity during the three recorded phases of the menstrual cycle. There are many studies which correlate changes in peripheral artery blood pressure with different phases of menstrual cycle. But there is scarcity in data available which correlates central arterial pressures and arterial stiffness with natural hormonal variations in different phases of menstrual cycle. However, our results show that although there are subtle changes in blood pressure parameters along with estrogen and progesterone levels throughout the menstrual cycle, yet these were not statistically significant