We explore the dependency of MIMO performance on azimuthal spread (AS) and elevation spread (ES) using correlated-based stochastic models (CBSMs). We represent the transmitter as uniform rectangular array (URA), and derive an analytical function for spatial correlation, in terms of maximum power when phase gradient of the incident wave follows a Student’s t-distribution. We model…

A method to construct a stochastic differential equation describing a non-Gaussian process in a stationary state and to obtain a static potential function in terms of the temporal average is proposed. However, it has been suggested that the potential function changes temporally through some analysis of climatic change. In this paper, a mathematical model of…

The exchange of electronic medical records can reduce the preservation and the use of papers of medical records for management issues. The sharing of electronic medical records has been effective in Taiwan. Now days, enterprises are sharing their electronic medical records through the Exchange Center of EMR under the Virtual Private Network but slightly less…

Recently, with the rapid progress in image processing and three-dimensional (3D) technologies, stereoscopic images are available not only on television but also in theaters and gaming consoles. Asthenopia and visually induced motion sickness (VIMS) are well-known phenomena experienced by users while viewing video clips, playing immersive video games, and other such activities. In previous studies,…

The objective of this paper is to provide a new simulator framework for mobile WSN that emulate a sensor node at a laptop i.e. the laptop will model and replace a sensor node within a network. This platform can implement di?erent WSN routing protocols to simulate and validate new developed protocols in terms of energy…

The implemented programs in the MapReduce processing model are focused in the analysis of large volume of data in a distributed and parallel architecture. This architecture is automatically managed by the framework, so the developer could be focused in the program functionality regardless of infrastructure failures or resource allocation. However, the infrastructure state can cause…

We present a design and fabrication of an integrated micro-fabricated dielectrophoretic (DEP) cell trap array in a microfluidic channel. The cell trap array is capable of isolating target cells in high-throughput manner and producing cell clusters of tunable cell numbers. In this work, we have used commercially available polystyrene beads to show the concept. Bead…

Extreme Learning Machine (ELM) is a high effective learning algorithm for the single hidden layer feed forward neural networks. Compared with the existing neural network learning algorithm it solves the slow training speed and over-fitting problems. It has been used in different fields and applications such as biomedical engineering, computer vision, remote sensing, chemical process…

Big Data Analytics (BDA) is important to utilize data from hospital systems to reduce healthcare costs. BDA enable queries of large volumes of patient data in an interactively dynamic way for healthcare. The study objective was high performance establishment of interactive BDA platform of hospital system. A Hadoop/MapReduce framework was established at University of Victoria…

Enterprise Resource Planning (ERP) systems are widely used applications to manage resources, communication and data exchange between different departments and modules with the purpose of managing the overall business process of the organization using one integrated software system. Due to the large scale and the complexity nature of these systems, many ERP implementation projects have…

This work discuss two different intelligent controllers: Online Neuro Fuzzy Controller (ONFC) and Proportional-Integral-Derivative Neural Network (PID-NN). They were applied to maintain the equilibrium and to control the position of a two-wheeled robot prototype. Experiments were carried out to investigate the equilibrium control and movement of the two-wheeled robot first on flat terrain, then in…

In this work fenugreek(Trigonella Foenum Graecum) extract was used to synthesis gold nanoparticles by simple and safe method .In aqueous solution of chloroaurate ions, fenugreek extract was used as reducing agent and gum Arabic as stabilizer by one synthetic route which is microwave irradiation .The nanoparticles were characterized and investigated by ultraviolet-visible (UV-Vis) spectrophotometry, transmission…

Developments in power electronics have enabled the widespread application of Pulse Width Modulation (PWM) inverters, notably for obtaining electricity from renewable systems. This paper critical review the previous studies in designing stand-alone inverter and modelling the inverter with two control loops to improve and provide a high-quality power of a stand-alone inverter. Multi-loop control techniques…

Smart electronic devices and gadgets and their applications are becoming more and more popular. Most of those devices and their applications handle personal, financial, medical and other sensitive data that require security and privacy protection. In this paper we describe one aspect of such protection – user authentication protocol based on the use of X.509…

The determination of length of survival, or prognosis, is often viewed through statistical hazard models or with respect to a future reference time point in a classification approach (e.g., survival after 2 or 5 years). In this research, regression was used to determine a patient’s prognosis. Also, multiple behavioral representations of clinical data, including difference…

With the advancement of technology intelligent devices are fast approaching the realm of necessity from the status of luxury. With limited energy resources, it is the need of time to revolutionize the traditional methods of counting visitors inside hotels, recreational places, meeting rooms and cinemas to control the electrical appliances. Moreover, the improved living standards…

In this paper, a full duplex Gigabit Passive Optical Network (GPON) architecture supporting 10Gbps data transmission through single fiber cable network is proposed and demonstrated. A Non Return to Zero Differential Phase Shift Keying (NRZ-DPSK) is utilized for downstream and re-modulate the downstream signal using intensity modulator (on-off keying OOK) in Return to Zero (RZ)…

In this paper, an application of artificial neural network (ANN) using bayesian regularization (BR) learning algorithm  based on multilayer perceptron (MLP) model is presented for computing the operating frequency of C-shaped patch antennas (CPAs) in UHF band.  Firstly, the operating frequencies of 144 CPAs having varied dimensions and electrical parameters were simulated by the XFDTD…

Global warming and Climate change are commonly acknowledged as the most noteworthy environmental quandary the world is undergoing today. Contemporary studies have revealed that the Earth’s surface air temperature has augmented by 0.6°C – 0.8°C in the course of the 20th century, together with alterations in the hydrological cycle. This study focuses on detecting trends in…

Mortar is used all over the world for construction purpose. It consists of cement paste and fine aggregates and admixtures if required are also incorporated to modify some of its properties. In this study coconut fibers and human hair were used as an additive materials in the mortar and its effects on compressive strength of…

In order to characterize the waste water in Duhok valley in Duhok governorate, during 25km, seven sites were selected in Duhok valley, to represent their water quality. Monthly samples were collected from the Duhok valley for the period from, April to September, 2015. The qualitative study of Duhok valley water tested, as considered one of…

Lipids are the fatty acid or their derivative which are insoluble in water but soluble in organic solvent. Brown color seaweeds have high value of total lipids (TL) contents, ranging from 10 to 18 % of dry weight. It contains glycoglycerol lipids (GL) as lipid class, which is rich in 18:4n_2, 20:5n_2 and 20:4n_5. Brown…

With the development of deep learning, time-series-related tasks have been increasingly applied across various fields. However, time-series data used in the medical and semiconductor industries are often different from those in daily life, with high sampling frequencies and very long sequence lengths, and collecting such data is usually very challenging. Therefore, data augmentation is a…

Network Functions Virtualization (NFV) poses the VNF placement problem under multiple, potentially conflicting objectives, such as Quality of Service (QoS), costs, and resource efficiency. This work treats VNF placement as a many-objective optimization problem (MaOP) and presents two primary contributions: (i) a correlation analysis of state-of-the-art objectives to reduce dimensionality while maintaining representativeness, resulting in…

Security Operations Centers (SOCs) require intrusion detection systems that achieve high detection accuracy while maintaining a low false-positive rate and robustness to evolving attack patterns. However, most existing machine learning-based approaches primarily focus on detecting known threats and often overlook distribution shifts and the reliability of generated alerts. In this paper, we propose TL-SOC, a…