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Search Results: 1 - 10 of 657 matches for " Yahya Tashtoush "
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The Correlation among Software Complexity Metrics with Case Study
Yahya Tashtoush,Mohammed Al-Maolegi,Bassam Arkok
Computer Science , 2014,
Abstract: People demand for software quality is growing increasingly, thus different scales for the software are growing fast to handle the quality of software. The software complexity metric is one of the measurements that use some of the internal attributes or characteristics of software to know how they effect on the software quality. In this paper, we cover some of more efficient software complexity metrics such as Cyclomatic complexity, line of code and Hallstead complexity metric. This paper presents their impacts on the software quality. It also discusses and analyzes the correlation between them. It finally reveals their relation with the number of errors using a real dataset as a case study.
Experimental Study of a Solar Adsorption Refrigeration Unit, Factorial Analysis  [PDF]
Ghassan M. Tashtoush, Bourhan M. Tashtoush, Mustafa M. Jaradat
Smart Grid and Renewable Energy (SGRE) , 2012, DOI: 10.4236/sgre.2012.32018
Abstract: An experimental study was performed on an adsorption refrigeration unit powered by a solar energy and equipped with three different types of activated carbon (1: Coconut, 2: Palm seeds 3: charcoal). In this Study design, factorial analysis and optimization of a prototype unit were described. The activated carbon coupled with methanol was used as an adsorbent-adsorbate pairs. Experimental tests were carried out on an adsorptive solar-powered refrigerator for the three pairs. The temperatures of the bed of each adsorber and the corresponding refrigerator temperature for both the adsorption and desorption cycles respectively were recorded and studied as a response. Then a factorial analysis was carried out considering the type of activated carbon and the times interval as factors. The results showed that coconut have the highest bed temperature during the day cycle with a mean of 77.5℃ and the lowest mean temperature during the night cycle with a mean of 12.9℃. In addition, it was found from the analysis that the coconut shell activated carbon has the highest coefficient of performance of 0.25.
A Statistical Approach to Optimize the Solar Adsorption Refrigeration System
Ghassan M. Tashtoush
Energy Science and Technology , 2012, DOI: 10.3968/j.est.1923847920120302.216
Abstract: Solar-powered refrigeration based on adsorption cycles is simple, quiet in operation and adaptable to small medium or large systems. Application potentials include storage of vaccines for immunization against killer diseases in remote areas, preservation of foodstuff for future use and manufacture of ice. Already Solar Adsorption Refrigeration (SAR) is a technical success, but it is not commercially competitive with either the conventional vapor compression or PV refrigerators. Further developmental research is, therefore, required for improvements in existing designs either to increase system overall performances significantly or to reduce system unit cost or both. In this study a statistical approach was used to optimize of solar adsorption air conditioning or refrigeration unit using ANOVA analysis. It was found that the coefficient of performance (COP) of a SAR system does not depend sharply on the evaporator temperature without any relation of the system conditions. Instead COP depends significantly on both condenser temperature and type of couple used in the refrigeration system. In addition some factors that concern about design could have an effect on the COP. From the optimization model the maximum value of COP was found under low condenser temperature and high generator temperature. Zeolite/water couple has the maximum COP value whereas the activated carbon has the minimum value. Key words: Solar adsorption; Refrigeration; ANOVA; SAR
Salt-Affected Soil Mapping in an Arid Environment Using Semi-Empirical Model and Landsat-OLI Data  [PDF]
Abderrazak Bannari, Ali El-Battay, Nadir Hameid, Fadia Tashtoush
Advances in Remote Sensing (ARS) , 2017, DOI: 10.4236/ars.2017.64019
Abstract: The aim of this research is to map the salt-affected soil in an arid environment using an advanced semi-empirical predictive model, Operational Land Imager (OLI) data, a digital elevation model (DEM), field soil sampling, and laboratory and statistical analyses. To achieve our objectives, the OLI data were atmospherically corrected, radiometric sensor drift was calibrated, and distortions of topography and geometry were corrected using a DEM. Then, the soil salinity map was derived using a semi-empirical predictive model based on the Soil Salinity and Sodicity Index-2 (SSSI-2). The vegetation cover map was extracted from the Transformed Difference Vegetation Index (TDVI). In addition, accurate DEM of 5-m pixels was used to derive topographic attributes (elevation and slope). Visual comparisons and statistical validation of the semi-empirical model using ground truth were undertaken in order to test its capability in an arid environment for moderate and strong salinity mapping. To accomplish this step, fieldwork was organized and 120 soil samples were collected with various degrees of salinity, including non-saline soil samples. Each one was automatically labeled using a digital camera and an accurate global positioning system (GPS) survey (σ ≤ ± 30 cm) connected in real time to the geographic information system (GIS) database. Subsequently, in the laboratory, the major exchangeable cations (Ca2+, Mg2+, Na+, K+, Cl- and SO42-), pH and the electrical conductivity (EC-Lab) were extracted from a saturated soil paste, as well as the sodium adsorption ratio (SAR) being calculated. The EC-Lab, which is generally accepted as the most effective method for soil salinity quantification was used for statistical analysis and validation purposes. The obtained results demonstrated a very good conformity between the derived soil salinity map from OLI data and the ground truth, highlighting six major salinity classes: Extreme, very high, high, moderate, low and non-saline. The laboratory chemical analyses corroborate these results. Furthermore, the semi-empirical predictive model provides good global results in comparison to the ground truth and laboratory analysis (EC-Lab), with correlation coefficient (R2) of 0.97, an index of agreement (D) of 0.84 (p < 0.05), and low overall root mean square error (RMSE) of 11%. Moreover, we found that topographic attributes have a substantial impact on the spatial distribution of salinity.
Morphometric Assessment of Wadi Wala Watershed, Southern Jordan Using ASTER (DEM) and GIS  [PDF]
Yahya Farhan
Journal of Geographic Information System (JGIS) , 2017, DOI: 10.4236/jgis.2017.92011
Abstract: Morphometric analysis is of vital concern to understand hydromophological processes in a given watershed, and thus, it is a priority for assessing water resources in drainage basins. A morphometric analysis was conducted to identify the drainage properties of Wadi Wala and the 23 fourth-order sub-basins. ASTER DEM data was employed to compile slope, elevation, and aspect maps. Arc GIS software was used to measure and calculate basic, derived and shape morphometric parameters. W. Wala is found to be a sixth-order drainage basin, and the drainage pattern is trellis to sub-trellis in the central and lower part of the catchment, whereas it is dendritic to sub-dendritic pattern in the southern and northern parts. The slopes of the catchment vary from 0° - 5° to >35° in slope categories. Tectonic uplifting and tilting, lithology, structure and rejuvenation are the major factors controlling morphological variation over the watershed. The recognized fault systems are chiefly controlling the drainage pattern, and the elongated shape of the sub-basins is attributed to dense lineaments in the central and eastern parts of the watershed. The Rb values for the entire catchment and the sub-catchments range from 2 to 7, with a mean of 4.55, which indicates the distortion of drainage pattern by geological structure. Hypsometric integral values are high for the W. Wala watershed and the sub-basins, where it ranges from 70% to 89%. High HI values indicate that drainage basins are at the youth-age stage of geomorphic development, and they are affected by tectonic uplifting, tilting, and the dominance of hillslope process. Variation in HI values is apparent between sub-basins located at the western part, or, the rejuvenated belt where HI values range from 85% to 89%. Whereas the HI values of the sub-basins located at the eastern part of the watershed, vary from 70% to 84%. Regression analysis reveals that R2 values, which represent the degree of control of driving parameters on HI are reasonably high for the height of local base level (m) and the mean height of sub-basins (m). Both parameters contribute 0.42 and 0.39 respectively (where the F-value is significant at 0.1% and 0.5% levels). Such results imply that the height of local base level (m), and the mean height (m) are the only morphometric driving parameters which have significant control on HI values in the W. Wala watershed. High annual soil loss and sediment load estimated recently, denote that the catchment is highly susceptible to surface erosion at present. Hence, the present study, and
Power Transformer Fault Diagnosis Using Fuzzy Reasoning Spiking Neural P Systems  [PDF]
Yousif Yahya, Ai Qian, Adel Yahya
Journal of Intelligent Learning Systems and Applications (JILSA) , 2016, DOI: 10.4236/jilsa.2016.84007
Abstract: This paper presents an intelligent technique to fault diagnosis of power transformers dissolved and free gas analysis (DGA). Fuzzy Reasoning Spiking neural P systems (FRSN P systems) as a membrane computing with distributed parallel computing model is powerful and suitable graphical approach model in fuzzy diagnosis knowledge. In a sense this feature is required for establishing the power transformers faults identifications and capturing knowledge implicitly during the learning stage, using linguistic variables, membership functions with “low”, “medium”, and “high” descriptions for each gas signature, and inference rule base. Membership functions are used to translate judgments into numerical expression by fuzzy numbers. The performance method is analyzed in terms for four gas ratio (IEC 60599) signature as input data of FRSN P systems. Test case results evaluate that the proposals method for power transformer fault diagnosis can significantly improve the diagnosis accuracy power transformer.
Generalized semi-pseudo Ricci symmetric manifold
M. A. Jawarneh,M. A. Tashtoush
International Mathematical Forum , 2012,
Multi-Resolution Fourier Analysis Part I: Fundamentals  [PDF]
Nourédine Yahya Bey
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2011, DOI: 10.4236/ijcns.2011.46042
Abstract: In the first paper of this series, we propose a multi-resolution theory of Fourier spectral estimates of finite duration signals. It is shown that multi-resolution capability, achieved without further observation, is obtained by constructing multi-resolution signals from the only observed finite duration signal. Achieved resolutions meet bounds of the uncertainty principle (Heisenberg inequality). In the forthcoming parts of this series, multi-resolution Fourier performances are observed, applied to short signals and extended to time-frequency analysis.
Extraction of Signals Buried in Noise: Non-Ergodic Processes  [PDF]
Nourédine Yahya Bey
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2010, DOI: 10.4236/ijcns.2010.312124
Abstract: In this paper, we propose extraction of signals buried in non-ergodic processes. It is shown that the proposed method extracts signals defined in a non-ergodic framework without averaging or smoothing in the direct time or frequency domain. Extraction is achieved independently of the nature of noise, correlated or not with the signal, colored or white, Gaussian or not, and locations of its spectral extent. Performances of the pro-posed extraction method and comparative results with other methods are demonstrated via experimental Doppler velocimetry measurements.
Extraction of Buried Signals in Noise: Correlated Processes  [PDF]
Nourédine Yahya Bey
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2010, DOI: 10.4236/ijcns.2011.311116
Abstract: In this paper, we propose extraction of signals correlated with noise in which they are buried. Proposed extraction method uses no a-priori information on the buried signal and works independently of the nature of noise, correlated or not with the signal, colored or white, Gaussian or not, and locations of its spectral extent. Extraction of buried correlated signals is achieved without averaging in the time or frequency domain.
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