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Simulation of a 10 kW Photovoltaic system in areas with high solar irradiation
(2011)This study investigates the design and the simulation of a 10 kW photovoltaic (PV) system in areas of high solar irradiation. The importance of this study is to explore the feasibility of connecting the PV system with a ... -
Performance of photovoltaic cells in photovoltaic thermal (PVT) modules
(The Institution of Engineering and Technology, 2016)Integrating cooling systems with photovoltaic (PV) modules represents a very important aspect of keeping modules within acceptable operating temperatures. The objective of this study is to analyse the performance of each ... -
Design and Economic Evaluation of Electrification of Small Villages in Rural Area in Yemen Using Stand-Alone PV System
(IJRER, 2016-03)The photovoltaic (PV) technology potential for Yemen is relatively high, based on this fact, there are many isolated and remote locations located far away from the electrical national grid and cannot be integrated in the ... -
Investigation of temperature effects in efficiency improvement of non-uniformly cooled photovoltaic cells
(Research Gate, 2013)This study investigates the performance of photovoltaic (PV) modules with respect to temperature and proposes pipe layouts enabling efficient cooling. The operating temperatures of the PV cells are not equal since the fluid ... -
Bending analysis of the multi-phase nanocomposite reinforced circular plate via 3D-elasticity theory
(Korea science, 2021)In this article bending response of multi-phase nanocomposite (MPC) filled by circular plates (MPCCP) in the framework of the three-dimensional elasticity model under bi-directional initially stressed (BDIS) resting on ... -
Stress in Rock Slopes: Non-persistent Versus Persistent Joint Model
(Springer, Cham, 2019-11)In rock slopes prone to topple, mechanical, physical or chemical weathering might degrade the rock mass properties and compromise the stability of that rock slopes. However, the nature of the joints distribution and the ... -
Numerical Modeling of Independent versus Dependent Tensile-Frictional Strength Behavior of Synthetic Rocks with Non-continuous joints
(Research square, 2021-06)The failure mechanisms of non-continuous jointed rocks under compression loading is of great importance for the rock mechanics community; it plays an important role in understanding the fracturing pattern, the type of the ... -
Sand Shear Strength as Function of Geofiber Stabilization
(IEEE, 2022-02)In order to use Abu Dhabi sand for pavement base courses, subbase courses, subgrades, and as a foundation soil, it must possess special shear strength characteristics. The stabilization of this kind of sand is a major ... -
A Generalized Regression Neural Network Model to Predict CFA Piles Performance Using Borehole and Static Load Test Data
(Springer Berlin Heidelberg, 2022-06)This research aims to predict the downward displacement of piles as the axial loading increases and decreases to form the pile static load curves. The generalized regression neural network (GRNN) is used to predict the ... -
Empirical and numerical study of the static lateral response of socketed pile in Dubai, UAE
(Thomas Telford Ltd, 2022-08)In geotechnical engineering practice, it is often a challenging task to select a suitable method for the calculation of the lateral load capacity of piles. In Dubai, UAE piles are predominantly rock socketed with top layers ... -
Amount of fracturing inside rock slopes due to strength variation
(CRC Press, 2020)In rock slopes prone to topple, mechanical, physical, and/or chemical weathering might degrade the rock mass properties and compromise the stability of that rock slope. This paper investigates the effect of tensile ... -
Experimental observations on the effect of thermal treatment on the crack speed and mode I and II fracture toughness in brittle and ductile rocks
(Elsevier, 2022-10)The mechanical properties of rocks are greatly affected by thermal treatment, as this treatment can either improve or worsen these properties depending on the mineralogical composition. Therefore, the effect of thermal ... -
The proposed use of generalized regression neural network to predict the entire static load test
(Springer, Cham, 2018-11)In the UAE, continuous flight auger piles (CFA) are the most commonly used type of foundations to construct high rise buildings, bridges, and other heavy structures due to the high groundwater table and the weak soil/rock ... -
Predicting the entire static load test by using generalized regression neural network in the United Arab Emirates
(Springer, Singapore, 2019)In the UAE, continuous flight auger piles (CFA) are the most commonly used type of foundations. To minimize the risk of failure, of these CFA piles, mandatory expensive field tests need to be performed and the most important ... -
Factors Affecting Compressive Strength Development in Alkali-activated Slag Concrete
(IOP Publishing, 2019-09)Studies show that the production and use of ordinary Portland cement (OPC) is responsible for more than 5% of the global CO2 emission. Alkali-activated slag (AAS) has been studied for decades as potential alternative to ... -
Numerical assessment of rectangular tunnels configurations using support vector machine (SVM) and gene expression programming (GEP)
(Springer London, 2021-07)Rectangular tunnel boring machine (TBM) is applied for the tunnels’ excavation including a cross section of circular and rectangular shape within the various rocks and soil strata. Excessive structural forces, which is ... -
Optimal tuning of PID controllers for FOPTD, SOPTD and SOPTD with lead processes
(Elsevier, 2006-12)This paper presents the synthesis and analysis of optimal tuning of proportional integral derivative (PID) parameters for different process systems: first order plus time delay (FOPTD), second order plus time delay (SOPTD) ... -
Stability of a rock slope susceptible to seasonal movements
(ResearchGate, 2014)A rock slope, known as the Checkerboard Creek slope located in British Columbia, Canada, is moving under the effect of seasonal temperature changes. Freezing and thawing processes are causing the rock to move at rate ... -
Smart framework for predicting drilled shaft capacity based on data mining techniques and GIS data
(IOS Press, 2015)Predicting accurately deep foundation capacity is one of the most difficult problems in Geotechnical Engineering. In Abu Dhabi, the most commonly used deep foundation underneath our buildings are drilled shafts. This paper ... -
Towards building a neural network model for predicting pile static load test curves
(EDP Sciences, 2018-02)In the United Arab Emirates, Continuous Flight Auger piles are the most widely used type of deep foundation. To test the pile behaviour, the Static Load Test is routinely conducted in the field by increasing the dead load ... -
EFFECT OF STRENGTH PROPERTIES ON DISPLACEMENT MAGNITUDE AND FRACTURING AMOUNT INSIDE A LARGE OPEN PIT PRONE TO TOPPLING
(ResearchGate, 2019)The study has presented a sensitivity analysis of a rock mass prone to toppling due to the variation of the strength parameters. The data from the Lornex pit at the Highland Valley Copper Mine, Canada, was used to calibrate ... -
A Comparative Analysis of Hybrid Computational Models Constructed with Swarm Intelligence Algorithms for Estimating Soil Compression Index
(Springer Netherlands, 2022-05)The determination of the compression index (Cc) of clay through oedometer tests is time-consuming and expensive. To replace the practice of conducting laboratory oedometer tests, this study presents a comparative analysis ... -
Metamaterials with giant and tailorable nonreciprocal elastic moduli
(American Physical Society, 2020-07)Natural nonlinear materials, e.g., biological materials and polymers, are mechanically weak. It has been a major challenge to develop a nonlinear material with potential mechanical applications. Here, we develop a nonlinear ... -
Numerical modeling of buckling rock movement
(Research Gate, 2011)Different modes of rock slope movement have been observed in the field on both anaclinal and cataclinal slopes in sedimentary rocks. In such layered slopes, the orientation of the main set of discontinuities relative to ... -
State of the art, reconstruction of damaged zones: transitory stresses effect and factors controlling rock mass stability
(ResearchGate, 2018)For the last three decades, many countries in the Middle East have been bombarded by wars. In these damaged zones, removing of destruction debris and the effect of the direct impact of blasts might trigger rock mass ... -
Predicting the pile static load test using backpropagation neural network and generalized regression neural network–a comparative study
(Taylor & Francis, 2021-08)In this paper, two neural network models; the Back Propagation Network, and the Generalized Regression Neural Network were built to predict the downward displacement of the entire static load test for Continuous Flight ... -
Modeling yield propagation of jointed synthetic rock
(OnePetro, 2016-08)To investigate the failure of non-continuous jointed rocks under compression loading, many researchers have performed uniaxial and biaxial compression tests. In this paper, I simulated numerically the behavior of artificial ... -
Novel integration of extreme learning machine and improved Harris hawks optimization with particle swarm optimization-based mutation for predicting soil consolidation parameter
(Elsevier, 2022)The study proposes an improved Harris hawks optimization (IHHO) algorithm by integrating the standard Harris hawks optimization (HHO) algorithm and mutation-based search mechanism for developing a high-performance machine ... -
Progressive failure mechanisms in a slope prone to toppling
(Research Gate, 2011-09)The Checkerboard Creek rock slope is located upstream of the Revelstoke hydroelectric dam, British Columbia, Canada. Annual surface movements of approximately 10 mm have been recorded over the past 25 years. The movement ... -
Modeling of rocks under direct shear loading by using discrete element method
(Research Gate, 2012-01)The geometrical properties are of great concern in characterizing a rock mass. The blocks in a rock mass are formed by flaws with different patterns formed in nature under different geological circumstances. One of the ... -
Rock slopes processes and recommended methods for analysis
(International Journal of GEOMATE, 2016)The stability of rock slopes is of great concern in many engineering projects, for example; road cuts, foundations, retaining walls, and dam excavation. Generally, rock slopes susceptible to instability could be divided ... -
A discrete element damage model for rock slopes
(OnePetro, 2007)A modelling approach for rock slopes is proposed that is based on discrete element formulation. This model allows damage to occur and propagate within intact rock blocks and along discontinuous joint sets. The model uses ... -
The effect of tensile strength on the stability of rock slopes
(ERA, 2009)The stability of a rock slope is generally considered a function of the shear strength of the rupture surface. In natural slopes the rupture surfaces are often discontinuous and may be composed of fractures and joints ... -
Fracture mechanisms of offset rock joints-A laboratory investigation
(Kluwer Academic Publishers, 2004-12)To study the failure mechanisms of joints and rock bridges in jointed rock masses a series of uniaxial compression tests were performed on specimens made of rock-like material. Specimens of size 63.5 cm × 27.9 cm × 20.3 cm, ... -
Benchmarking the Object Storage Services for Amazon and Azure
(Springer, Cham, 2018-04)Cloud computing is increasingly being used as a new computing model that provide users rapid on-demand access to computing resources with reduced cost and minimal management overhead. Data storage is one of the most famous ... -
Searching Vocalized/Unvocalized Arabic Texts Using an Improved Coding Schema
(World Scientific Publishing Company, 2009-12)Searching for a pattern in an Arabic text raises various problems due to the association of vocalization characters with alphabetical letters of Arabic words. This feature causes a problem for existing searching algorithms. ... -
The proposed use of generalized regression neural network to predict the entire static load test
(Springer, Cham, 2018-11)In the UAE, continuous flight auger piles (CFA) are the most commonly used type of foundations to construct high rise buildings, bridges, and other heavy structures due to the high groundwater table and the weak soil/rock ... -
Predicting the Entire Static Load Test by Using Generalized Regression Neural Network in the United Arab Emirates
(Springer, Singapore, 2019-06)In the UAE, continuous flight auger piles (CFA) are the most commonly used type of foundations. To minimize the risk of failure, of these CFA piles, mandatory expensive field tests need to be performed and the most important ... -
Towards building a neural network model for predicting pile static load test curves
(EDP Sciences, 2018)In the United Arab Emirates, Continuous Flight Auger piles are the most widely used type of deep foundation. To test the pile behaviour, the Static Load Test is routinely conducted in the field by increasing the dead ... -
Multi Artificial Intelligence Approaches Comparisons for Chronic Disease Prediction
(IEEE Xplore, 2021-11)Chronic diseases are one of the most common causes of death worldwide, contributing to a significant global disease burden. These diseases are critical and persistent. They last for an extended period, shaping and affecting ... -
Innovative Methodologies for Mobile Security and Cryptography
(IEEE Xplore, 2021-11)As mobile phones are evolving; security problems are increasing. On one side, attackers are constantly trying to crack all encryption algorithms and security procedures followed to access the users’ data, and on the other ... -
Towards Developing Knowledge Management System Framework for managing Chronic Diseases Based on Service Oriented Architecture
(ACADEMIA, 2013-09)Chronic diseases are type of illnesses that require a continuous monitoring by physicians in order to keep the condition of the patient at the appropriate level. This requires to keep the parameters that have a higher ... -
Diagnosis of diabetes mellitus in an E-health environment based on artificial neural network
(ResearchGate, 2013-07)Diabetes is one of the modern chronic diseases that have a big impact on the life of a large number of populations across the world. According to the World Health Organization, it is estimated that this disease causes an ... -
Big Data Security and Privacy Implementation: The way Ahead
(IEEE Xplore, 2020-12)Due to the rapid advancement in ICT has made technology to become an essential necessity in most areas of life. The volume of information recorded in data warehouses in the past is starting to grow rapidly over time. Thus ... -
Assessing Security Health of Public WiFi Environments in the UAE
(IEEE Xplore, 2020-12)In recent years, a noticeable increase has been observed in cyber-attacks that target public networks WiFi. These attacks happen due to the vast use of smartphones and the large amount of data transferred over WiFi. The ... -
Implementation of Augmented Reality in the Teaching of Young Children
(Springer Link, 2018-10)Learning to write can be exhausting for young children. In traditional teaching, children with different learning abilities are taught with the same rubric. This, in turn, impacts children that need extra attention to catch ... -
Smart framework for managing diabetes based on service oriented architecture
(IEEE Xplore, 2011-06)Due to the increase of sedentary life style in most of the world and specifically in the region where this research is conducted, led to the raise in chronic diseases that start to emerge in the region. These diseases ... -
Validation of the splitting tensile strength formula for concrete containing blast furnace slag
(Scientific.Net, 2017)The adverse environmental impact of the construction industry may be mitigated through the partial replacement of cement with supplementary cementitious materials (SCM). SCMs such as ground granulated blast furnace slag ... -
Knowledge capturing in autonomous system design for chronic disease risk assessment
(IEEE Xplore, 2014-12)Recent years has witnessed a rapid increase in chronic diseases that populations are suffering from. According to the World Health Organization (WHO), these diseases, such as heart disease, stroke, cancer, chronic respiratory ... -
Detecting signal spoofing attack in uavs using machine learning models
(IEEE, 2021-06)Due to the tremendous advancement in interactive multimedia systems and technologies, security has become a major aspect. Advanced technology can be utilized for hacking autonomous systems like Unmanned Aerial vehicles ...
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