Preferred Language
Articles
/
8xc9kJMBVTCNdQwCe9Vv
A UWB Monopole Antenna Design based RF Energy Harvesting Technology
...Show More Authors

Recently, wireless charging based RF harvesting has interfered our lives [1] significantly through the different applications including biomedical, military, IoT, RF energy harvesting, IT-care, and RFID technologies. Wirelessly powered low energy devices become significantly essential for a wide spectrum of sensing applications [1]. Such devices require for low energy resources from sunlight, mechanical vibration, thermal gradients, convection flows or other forms of harvestable energy [2]. One of the emerging power extraction resources based on passive devices is harvesting radio frequency (RF) signals powers [3]–[5]. Such applications need devices that can be organized in very large numbers, so, making separate node battery impractical. RF powered devices including sensor nods can be used potentially in ultra-low-power areas to extend the life battery span [4]. Moreover, modern biomedical implantable devices require power source channels for charging to prolong the lifetime of the implanted device and reduce the chances of battery replacements [5]. Furthermore, the ambient electromagnetic energy recycling possibility in dense urban zones population was significantly explored in [6]. Therefore, power conversion circuits to extract enough DC power from the incident electromagnetic waves for passive devices become urgent demand [7]. RF energy harvesters, generally, are consistent with an antenna, a power management circuit, and a rectifier [3]. The antenna part is the responsible element for collecting the RF energy from radiating sources. The appropriate antenna design is the one with a wide bandwidth of omnidirectional radiation patterns to collect the energy from a different direction at any frequency [8].

Scopus Crossref
View Publication
Publication Date
Sun Feb 25 2024
Journal Name
Baghdad Science Journal
Facial Emotion Images Recognition Based On Binarized Genetic Algorithm-Random Forest
...Show More Authors

Most recognition system of human facial emotions are assessed solely on accuracy, even if other performance criteria are also thought to be important in the evaluation process such as sensitivity, precision, F-measure, and G-mean. Moreover, the most common problem that must be resolved in face emotion recognition systems is the feature extraction methods, which is comparable to traditional manual feature extraction methods. This traditional method is not able to extract features efficiently. In other words, there are redundant amount of features which are considered not significant, which affect the classification performance. In this work, a new system to recognize human facial emotions from images is proposed. The HOG (Histograms of Or

... Show More
View Publication Preview PDF
Scopus (12)
Crossref (10)
Scopus Crossref
Publication Date
Sun Feb 25 2024
Journal Name
Baghdad Science Journal
Oil spill classification based on satellite image using deep learning techniques
...Show More Authors

 An oil spill is a leakage of pipelines, vessels, oil rigs, or tankers that leads to the release of petroleum products into the marine environment or on land that happened naturally or due to human action, which resulted in severe damages and financial loss. Satellite imagery is one of the powerful tools currently utilized for capturing and getting vital information from the Earth's surface. But the complexity and the vast amount of data make it challenging and time-consuming for humans to process. However, with the advancement of deep learning techniques, the processes are now computerized for finding vital information using real-time satellite images. This paper applied three deep-learning algorithms for satellite image classification

... Show More
View Publication Preview PDF
Scopus (6)
Crossref (6)
Scopus Crossref
Publication Date
Sat Oct 01 2022
Journal Name
Nuclear Instruments And Methods In Physics Research Section B: Beam Interactions With Materials And Atoms
Shielding properties and buildup factor of Al2O3/PbO-based ceramic materials
...Show More Authors

View Publication
Scopus (3)
Crossref (3)
Scopus Clarivate Crossref
Publication Date
Tue Dec 05 2023
Journal Name
Baghdad Science Journal
Indoor/Outdoor Deep Learning Based Image Classification for Object Recognition Applications
...Show More Authors

With the rapid development of smart devices, people's lives have become easier, especially for visually disabled or special-needs people. The new achievements in the fields of machine learning and deep learning let people identify and recognise the surrounding environment. In this study, the efficiency and high performance of deep learning architecture are used to build an image classification system in both indoor and outdoor environments. The proposed methodology starts with collecting two datasets (indoor and outdoor) from different separate datasets. In the second step, the collected dataset is split into training, validation, and test sets. The pre-trained GoogleNet and MobileNet-V2 models are trained using the indoor and outdoor se

... Show More
View Publication Preview PDF
Scopus (6)
Scopus Crossref
Publication Date
Sat Apr 30 2016
Journal Name
Environmental Science And Pollution Research
Risk-based prioritization of pharmaceuticals in the natural environment in Iraq
...Show More Authors

View Publication
Scopus (53)
Crossref (47)
Scopus Clarivate Crossref
Publication Date
Mon Jul 01 2019
Journal Name
Iop Conference Series: Materials Science And Engineering
On Estimation of the Stress – Strength Reliability Based on Lomax Distribution
...Show More Authors
Abstract<p>The present paper concerns with the problem of estimating the reliability system in the stress – strength model under the consideration non identical and independent of stress and strength and follows Lomax Distribution. Various shrinkage estimation methods were employed in this context depend on Maximum likelihood, Moment Method and shrinkage weight factors based on Monte Carlo Simulation. Comparisons among the suggested estimation methods have been made using the mean absolute percentage error criteria depend on MATLAB program.</p>
View Publication
Scopus (7)
Crossref (4)
Scopus Crossref
Publication Date
Sun Apr 01 2018
Journal Name
2018 9th International Conference On Information And Communication Systems (icics)
An intersection-based segment aware algorithm for geographic routing in VANETs
...Show More Authors

In networking communication systems like vehicular ad hoc networks, the high vehicular mobility leads to rapid shifts in vehicle densities, incoherence in inter-vehicle communications, and challenges for routing algorithms. It is necessary that the routing algorithm avoids transmitting the pockets via segments where the network density is low and the scale of network disconnections is high as this could lead to packet loss, interruptions and increased communication overhead in route recovery. Hence, attention needs to be paid to both segment status and traffic. The aim of this paper is to present an intersection-based segment aware algorithm for geographic routing in vehicular ad hoc networks. This algorithm makes available the best route f

... Show More
View Publication
Scopus (5)
Crossref (5)
Scopus Crossref
Publication Date
Sat Apr 01 2023
Journal Name
The Ocular Surface
Detecting dry eye from ocular surface videos based on deep learning
...Show More Authors

View Publication
Scopus (18)
Crossref (18)
Scopus Clarivate Crossref
Publication Date
Tue Apr 11 2023
Journal Name
Sensors
EEG Signal Complexity Measurements to Enhance BCI-Based Stroke Patients’ Rehabilitation
...Show More Authors

The second leading cause of death and one of the most common causes of disability in the world is stroke. Researchers have found that brain–computer interface (BCI) techniques can result in better stroke patient rehabilitation. This study used the proposed motor imagery (MI) framework to analyze the electroencephalogram (EEG) dataset from eight subjects in order to enhance the MI-based BCI systems for stroke patients. The preprocessing portion of the framework comprises the use of conventional filters and the independent component analysis (ICA) denoising approach. Fractal dimension (FD) and Hurst exponent (Hur) were then calculated as complexity features, and Tsallis entropy (TsEn) and dispersion entropy (DispEn) were assessed as

... Show More
View Publication
Scopus (26)
Crossref (24)
Scopus Clarivate Crossref
Publication Date
Fri Dec 01 2023
Journal Name
Ieee Antennas And Wireless Propagation Letters
Stabilized and Fast Method for Compressive-Sensing-Based Method of Moments
...Show More Authors

View Publication
Scopus (13)
Crossref (10)
Scopus Clarivate Crossref