Al Hudaydah, Yemen
Al Hudaydah, Yemen

Hodeidah University , was established in Hodeida as an official University in 1996. Before its foundation, Education College was already established in 1988 as a branch of Sana'a University.Template:Wikipedia:Articles for creation/Daily headerThe university consists of 11 colleges as follows. Education College in Hodeida Education College in Zabid Commerce and Economy College Sharia and Law College. Faculty of Arts College of Marine Science and Environment Faculty of Physical Education and Sports Faculty of Medical science Faculty of Fine Arts Faculty of Science and Computer Engineering Faculty Of Dentist Wikipedia.

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Ali Taher M.A.,Hodeidah University
2013 IEEE 33rd International Scientific Conference Electronics and Nanotechnology, ELNANO 2013 - Conference Proceedings | Year: 2013

This paper proposes an algorithmic method for generating DC-DC converters with galvanic isolation. This method uses the Main Topological Matrix MTM. The definition and attributes of the MTM are stated. The common properties for single-switch DC-DC converters are described. The proposed method has unique advantages over other methods. This method is fully algorithmic. In addition this method is based on the design by parts that facilitates the design of power electronic circuits. And by some examples will be shown how this method is used for generating all sub-class (sub-family) of DC-DC converters with predetermined characteristics. © 2013 IEEE.

Haidar A.M.A.,Universiti Malaysia Pahang | Mustafa M.W.,University of Technology Malaysia | Ibrahim F.A.F.,Taiz University | Ahmed I.A.,Hodeidah University
Applied Soft Computing Journal | Year: 2011

Transient stability evaluation (TSE) is part of dynamic security assessment of power systems, which involves the evaluation of the system's ability to remain in equilibrium under credible contingencies. Neural networks (NN) have been applied to the security assessment of power systems and have shown great potential for predicting the security of power systems. This paper proposes a generalized regression neural networks (GRNN) based classification for transient stability evaluation in power systems. In the proposed method, learning data sets have been generated using time domain simulation (TDS). The GRNN input nodes representing the voltage magnitude for all buses, real and reactive powers on transmission lines, the output node representing the transient stability index. The proposed GRNN was implemented and tested on IEEE 9-bus and 39-bus test systems. NN results show that the stability condition of the power system can be predicted with high accuracy and less misclassification rate. © 2011 Elsevier B.V.

Abdo A.,University of Technology Malaysia | Abdo A.,Hodeidah University | Salim N.,University of Technology Malaysia | Ahmed A.,University of Technology Malaysia
Journal of Biomolecular Screening | Year: 2011

Recently, the use of the Bayesian network as an alternative to existing tools for similarity-based virtual screening has received noticeable attention from researchers in the chemoinformatics field. The main aim of the Bayesian network model is to improve the retrieval effectiveness of similarity-based virtual screening. To this end, different models of the Bayesian network have been developed. In our previous works, the retrieval performance of the Bayesian network was observed to improve significantly when multiple reference structures or fragment weightings were used. In this article, the authors enhance the Bayesian inference network (BIN) using the relevance feedback information. In this approach, a few high-ranking structures of unknown activity were filtered from the outputs of BIN, based on a single active reference structure, to form a set of active reference structures. This set of active reference structures was used in two distinct techniques for carrying out such BIN searching: reweighting the fragments in the reference structures and group fusion techniques. Simulated virtual screening experiments with three MDL Drug Data Report data sets showed that the proposed techniques provide simple ways of enhancing the cost-effectiveness of ligand-based virtual screening searches, especially for higher diversity data sets. © 2011 Society for Laboratory Automation and Screening.

Jarndal A.,Hodeidah University | Markos A.Z.,TU Berlin | Kompa G.,University of Kassel
IEEE MTT-S International Microwave Symposium Digest | Year: 2010

An improved parasitic elements extraction method applied to GaN on Si devices is presented. Genetic-algorithm based procedure is used to determine a high quality reliable starting values for the extrinsic parameters of proposed smallsignal model. Local optimization technique is then used to refine the initial value and find the optimal value for each model element. The validity of the developed method and the proposed small-signal model is verified by comparing simulated smallsignal S-parameters with measured ones of a 2-mm (l0x200 μm) GaN HEMT-on-Si. © 2010 IEEE.

Jarndal A.,Hodeidah University | Markos A.Z.,TriQuint Semiconductor | Kompa G.,University of Kassel
IEEE Transactions on Microwave Theory and Techniques | Year: 2011

An improved large-signal modeling approach of GaN on Si devices for RF high-power applications is presented. This approach accounts for the parasitic buffer loading effect under microwave RF operation in addition to the self-heating and trapping effects associated with high-power operation conditions. A hybrid optimization (genetic and Simplex) technique based procedure is used to determine the optimal values of the model extrinsic elements. These elements are de-embedded from multibias S-parameter measurements to find the intrinsic part of the device, which is then used to construct a nonlinear current-charge (represented by nonlinear charge and current sources) based model for the gate current of the device. Pulsed and static dc IV characteristics are used for modeling of the drain current. The validity of the developed modeling approach is verified by comparing simulated large-signal single- and two-tone simulation with measured data of a 2-mm (10 × 200 μm) GaN HEMT on Si substrate. The model has been employed for designing a class-AB power amplifier. Very good agreement between the amplifier simulation and measurement shows the validity of the model. © 2006 IEEE.

Sagheer A.A.,Hodeidah University
Journal of King Abdulaziz University, Marine Science | Year: 2013

The objective of this study is to support sound planning and sustainable development of the At-Tif to AlFaza coastal area along Red Sea, Yemen. This area is characterized by its unique coastal ecosystems and rich benthic habitats for example coral reef, seagrasses and algae. Multidate landsat imagery acquired by Enhanced Thematic Mapper Plus (ETM+) and other preceding sensors (MSS and TM) during the period from 1972 to 2009 were used as a source of information for mapping and extraction of different thematic geo-environmental information on the study area. A field survey was conducted in August 2010 to gather information on study area and to verify some existing remotely sensed elements. Results obtained from remote sensing analysis and ground survey were used to build an environment database and GIS layers for the study area. These layers and other gathered information on geology, grain-size distribution of the coastal sediments, bathymetry and possible natural hazard, were used to build an environmental sensitivity model for the study area An environmental sensitivity index was prepared, this sensitivity was classified into the high, medium and low environmental sensitivity on the basis of sensitivity to anthropogenic activities. The medium and low environmental sensitivity, land use land cover, shoreline Slope and DEM have been used for the delineation of the suitable sites for potential sustainable development. The best suitable sites for the sustainable ecotourism development were determined in the north of At-Tif village, AlFaz and At-Tif spit.

Abdo A.,University of Technology Malaysia | Abdo A.,Hodeidah University | Salim N.,University of Technology Malaysia
Journal of Chemical Information and Modeling | Year: 2011

Many of the conventional similarity methods assume that molecular fragments that do not relate to biological activity carry the same weight as the important ones. One possible approach to this problem is to use the Bayesian inference network (BIN), which models molecules and reference structures as probabilistic inference networks. The relationships between molecules and reference structures in the Bayesian network are encoded using a set of conditional probability distributions, which can be estimated by the fragment weighting function, a function of the frequencies of the fragments in the molecule or the reference structure as well as throughout the collection. The weighting function combines one or more fragment weighting schemes. In this paper, we have investigated five different weighting functions and present a new fragment weighting scheme. Later on, these functions were modified to combine the new weighting scheme. Simulated virtual screening experiments with the MDL Drug Data Report23 and maximum unbiased validation data sets show that the use of new weighting scheme can provide significantly more effective screening when compared with the use of current weighting schemes. © 2011 American Chemical Society.

The monogenean parasite Chauhanellus indicus Rastogi, Kumar and Singh, 2004 is described here for the first time from the gills of the sea catfish Tachysurus dussumieri (Valenciennes) from the Red Sea coast of Yemen. The ecological indexes of infection during the period from March 2009 and June 2010 were calculated as prevalence of 40% and intensity of 1-12 (3.17). The relation of the infection with both fish length and sex, and preference of site of infection were discussed.

General abundance and species composition of a dinoflagellate community in Yemeni coastal waters of Al Salif (southern Red Sea) were studied with a view to understand the annual variations in particular the toxic species. Dinoflagellates were more abundant among phytoplankton. Thirty five dinoflagellate taxa were identified, among which 12 were reported as potentially toxic species. A significant change in seasonal abundance was recorded with the maximum (2.27 ∗ 106 cells l− 1) in May, and the minimum (2.50 ∗ 102 cells l− 1) recorded in January. Kryptoperidinium foliaceum, which was reported for the first time from the Red Sea, was the most abundant species with a maximum in May 2013 (2.26 ∗ 106 cells l− 1). Spearman's rank correlation analysis indicates that, total harmful dinoflagellate cells, K. foliaceum, Prorocentrum gracile and Prorocentrum micans were significantly correlated with temperature. This study suggests that Yemeni waters should be monitored to investigate harmful species and to identify areas and seasons at higher risk. © 2016 Elsevier Ltd

Al-Zubaidy A.B.,Hodeidah University
Journal of King Abdulaziz University, Marine Science | Year: 2010

The present study is the first investigation of digenetic trematode parasites in C. bajad, a commercially important teleost fish species of the Red Sea, Coast of Yemen from AL-Khatheib region, in the coast city of Hodeidah, during the period from January to December 2006. A total of 112 C. bajad (Local name, Bayad) were examined, 16 specimens were found harboring Lecithochirium sp. (Lecithochirium, Hemiuridae). The prevalence and mean intensity of infection were 14.3 % and 2.9 respectively. And the number of parasite per fish range 1-6. Prevalence and intensity of infection was positively correlated with host size (increasing with host size increasing). Host sex does not seem to affect prevalence of infection. The present work represents the first record for the presence of this parasite in C. bajad fish in Yemen's coastal Red Sea water.

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