Preferred Language
Articles
/
joe-350
Performance Enhancement of a Piezoelectric Harvester Included into an Autonomous System
...Show More Authors

Autonomous systems are these systems which power themselves from the available ambient energies in addition to their duties. In the next few years, autonomous systems will pervade society and they will find their ways into different applications related to health, security, comfort and entertainment. Piezoelectric harvesters are possible energy converters which can be used to convert the available ambient vibration energy into electrical energy. In this contribution, an energy harvesting cantilever array with magnetic tuning including three piezoelectric bimorphs is investigated theoretically and experimentally. Other than harvester designs proposed before, this array is easy to manufacture and insensitive to manufacturing tolerances because its optimum operation frequency can be re-adjusted after fabrication. In this array, each bimorph has its own rectification circuit in order to prevent the interference of its operation with the others. Two electrical connections are investigated: the series connection and the parallel connection. These connections are tested under several cases such as moderate and high excitation level and large and small connected load. The theoretical and experimental works show that each connection has characteristics and can be used to enhance the harvester output power and/or its frequency bandwidth. These characteristics are highly related to the excitation level and the connected load together.

 

 

View Publication Preview PDF
Quick Preview PDF
Publication Date
Sun Mar 01 2020
Journal Name
Iop Conference Series: Materials Science And Engineering
Characterization of nickel oxide nanocatalyst electrodes for an alkaline fuel cell
...Show More Authors
Abstract<p>In this paper had been studied the characterization of the nanocatalyst (NiO) Mesh electrodes. For fuel cell. The catalyst is prepared and also the electrodes The structural were studied through the analysis of X-ray diffraction of the prepared nanocatalyst for determining the yielding phase and atomic force microscope to identify the roughness of prepared catalyst surface, Use has been nanocatalyst led to optimization of cell voltage, current densities & power for a fuel cell.</p>
View Publication
Scopus (2)
Crossref (1)
Scopus Crossref
Publication Date
Sat Feb 09 2019
Journal Name
Iraqi Journal Of Laser
Reconstruction of 3D Shape for an Object using Laser Scanning Triangulation
...Show More Authors

This paper presents a method of designing and constructing a system capable of acquiring
the third dimension and reconstructs a 3D shape for an object from multi images of that object using
the principle of active optical triangulation. The system consists of an illumination source, a photo
detector, a movement mechanism and a PC, which is working as a controlling unit for the hard ware
components and as an image processing unit for the object multi view raw images which must be
processed to extract the third dimension. The result showed that the optical triangulation method
provides a rapid mean for obtaining accurate and quantitative distance measurements. The final
result's analysis refers to the necessity of usin

... Show More
View Publication Preview PDF
Publication Date
Tue Jun 12 2007
Journal Name
Iraqi Journal Of Laser
Generation of 629 nm Pulsed Laser Using an Optical Parametric Amplifier
...Show More Authors

The main purpose of this work is the construction of an optical parametric amplifier (OPA) to generate a 629 nm pulsed laser. KTP nonlinear crystals were used for both parametric oscillation and amplification. A singly resonant parametric oscillator (OPO) is constructed to generate a signal of 1.54 μm and idler of 3.4 μm when the OPO system is pumped by 1.064 μm Q – switched Nd: YAG laser. The signal was then mixed with the pumping beam in OPA system to form the wanted wavelength. The obtained optical conversion efficiency was 60%.

View Publication Preview PDF
Publication Date
Mon Mar 30 2020
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Petrophysical Properties of an Iraqi Carbonate Reservoir Using Well Log Evaluation
...Show More Authors

This research was aimed to determine the petrophysical properties (porosity, permeability and fluid saturation) of a reservoir. Petrophysical properties of the Shuiaba Formation at Y field are determined from the interpretation of open hole log data of six wells. Depending on these properties, it is possible to divide the Shuiaba Formation which has thickness of a proximately 180-195m, into three lithological units: A is upper unit (thickness about 8 to 15 m) involving of moderately dolomitized limestones; B is a middle unit (thickness about 52 to 56 m) which is composed of dolomitic limestone, and C is lower unit ( >110 m thick) which consists of shale-rich and dolomitic limestones. The results showed that the average formation water

... Show More
View Publication Preview PDF
Crossref (1)
Crossref
Publication Date
Tue Apr 30 2024
Journal Name
Iraqi Journal Of Science
An Extended Subclass of Meromorphic Multivalent Functions Involving Ruscheweyh Derivative Operator
...Show More Authors

     In this paper, we introduce and discuss an extended subclass〖 Ą〗_p^*(λ,α,γ) of meromorphic multivalent functions involving Ruscheweyh derivative operator. Coefficients inequality, distortion theorems, closure theorem for this subclass are obtained.

View Publication
Scopus Crossref
Publication Date
Mon Jan 01 2024
Journal Name
Bio Web Of Conferences
Concepts of statistical learning and classification in machine learning: An overview
...Show More Authors

Statistical learning theory serves as the foundational bedrock of Machine learning (ML), which in turn represents the backbone of artificial intelligence, ushering in innovative solutions for real-world challenges. Its origins can be linked to the point where statistics and the field of computing meet, evolving into a distinct scientific discipline. Machine learning can be distinguished by its fundamental branches, encompassing supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. Within this tapestry, supervised learning takes center stage, divided in two fundamental forms: classification and regression. Regression is tailored for continuous outcomes, while classification specializes in c

... Show More
View Publication Preview PDF
Scopus (1)
Crossref (1)
Scopus Crossref
Publication Date
Tue Oct 01 2024
Journal Name
Science Progress
Jaw vs abdominal Burkitt's lymphoma: An analysis of 25 Iraqi cases
...Show More Authors

This study compared the clinicopathological, immunohistochemical characteristics and Epstein-Barr virus (EBV) detection of Burkitt's lymphoma (BL) in the abdomen and jaw of Iraqi patients. A cohort/retrospective study was carried out between August and September 2024 using 25 tissue blocks (14 gnathic and 11 abdominal BL) from the Oral and Maxillofacial Laboratory, University of Baghdad, College of Dentistry, and the National Centre for Educational Laboratories. The sections were stained with haematoxylin and eosin (H&E), while CD10, CD20, Bcl-2, BCl-6, C-Myc and Ki-67 markers were used for diagnosis. The DNA detection of the EBV was performed by polymerase chain reaction (PCR). The tumours showed 22 classical and 3 atypical histologi

... Show More
View Publication Preview PDF
Scopus Clarivate Crossref
Publication Date
Tue Jun 18 2019
Journal Name
Journal Of Accounting And Financial Studies ( Jafs )
The Effect of Corporate Goverment in Tax Planning: An Empirical Study
...Show More Authors

The purpose of this study is discuss the effect of Corporate Governance in the Tax Planning, has been made in a sample of Iraqi Industrial contribution Companies listed in Iraqi Stock Exchange Market (ISE) , for the period from 2008 to 2012.The study used the" Experimental Research Approach" . Also used the (Modified Jones Model, 1995) in order to measure the corporate governance, to measure the extent of the practice of corporate governance in the samples companies. While it use to measure tax planning, the model that used by studies and researches of tax that adopted in discussions of tax reform, by analyzing the financial statements of companies  to reach  a measurement  for  the two variables of the study.  T

... Show More
View Publication Preview PDF
Crossref
Publication Date
Mon Dec 02 2024
Journal Name
Engineering, Technology &amp; Applied Science Research
An Artificial Neural Network Prediction Model of GFRP Residual Tensile Strength
...Show More Authors

This study uses an Artificial Neural Network (ANN) to examine the constitutive relationships of the Glass Fiber Reinforced Polymer (GFRP) residual tensile strength at elevated temperatures. The objective is to develop an effective model and establish fire performance criteria for concrete structures in fire scenarios. Multilayer networks that employ reactive error distribution approaches can determine the residual tensile strength of GFRP using six input parameters, in contrast to previous mathematical models that utilized one or two inputs while disregarding the others. Multilayered networks employing reactive error distribution technology assign weights to each variable influencing the residual tensile strength of GFRP. Temperatur

... Show More
View Publication
Scopus Crossref
Publication Date
Wed Sep 21 2016
Journal Name
Applicable Analysis
Retrieving the time-dependent thermal conductivity of an orthotropic rectangular conductor
...Show More Authors

View Publication
Scopus (4)
Crossref (2)
Scopus Clarivate Crossref