Fahed Jubair

University of Jordan | UJ · Department of Computer Engineering

The breakneck evolution of the Web of Things (WoT) has led to a burgeoning demand for reliable tools that facilitate the automatic generation and validation of Thing Descriptions (TD). However, emerging tools that generate or validate TD automatically have suffered from abounding limitations and constraints. In this paper, we propose and implement...

The Internet of Things (IoT) has been the subject of recent studies and is expected to be extremely important to the future growth of the Internet. The essential component of the IoT is the low-power and lossy networks (LLNs), which are necessary to connect hundreds or even thousands of devices. The IPv6 Routing Protocol for LLNs (RPL), the standar...

Tensile testing (aka tension testing) is a widely employed mechanical testing technique for analyzing materials’ properties and behavior under applied stress. Tensile testing plays a pivotal role in helping engineers to make informed decision about material selection and usage. Despite its importance, there is a limited numbers of studies that expl...

Background The administration of outpatient parenteral antimicrobial therapy (OPAT) has significantly increased in recent decades. OPAT offers many benefits to patients and the health care system. Best practices suggest patients on OPAT require active monitoring for adverse effects of therapy. Asymptomatic eosinophilia is common finding in patients...

In mobile ad-hoc networks (MANET), nodes are randomly distributed and move freely, and hence the network may face rapid and unexpected topological changes. In this paper, an improved greedy perimeter stateless routing protocol, called “LDAB-GPSR”, is proposed. LDAB-GPSR mainly focuses on maximizing the packet delivery ratio while minimizing the con...

span>Smart imaging-based medical classification systems help the human diagnose the diseases and make better decisions about patient health. Recently, computer-aided classification of skin diseases has been a popular research area due to its importance in the early detection of skin diseases. This paper presents at its core, a system that exploits...

The indispensable part of IoT is the Low-power and Lossy Network (LLN), which is required to connect plenty of resource-constrained (e.g., power and memory) wireless devices. Interestingly, the IPv6 Routing Protocol for LLNs (i.e., RPL), which is the standard routing protocol for IoT, relies primarily on constructing a destination-oriented directed...

Over time, wireless technology is evolving impulsively. For the most part, studies presently focused on the telecommunication field. Vehicular Ad-hoc Network (VANET) is one of the leading genuine and appealing areas for Intelligent Transportation Systems (ITS) originators and organizations. Essentially, VANET is an ad-hoc network consisting of seve...

This paper presents a separable Reversible Data Hiding Algorithm for Encrypted Images (RDHEI) that consists of three phases. The encryption phase in the algorithm circularly shifts the columns in the image by a random amount, blocks the image into equal and regular blocks and maps them to irregular blocks generated based on Hilbert filling curve, a...

This study presents the findings of applying sentiment analysis on a corpus of seven million unique English tweets collected from March 26, 2020 to April 9, 2020 about the COVID-19 outbreak. First, an off-the-shelf lexicon-based sentiment analysis tool was used to determine sentiment polarity in each tweet. Then, an off-the-shelf text visualization...

Objectives. The demand for esthetic dentistry is growing, and social media constitute the main driving force behind this revolution. Twitter is a leading social media platform; however, there is a lack of research on the pattern of communications and the impact of Twitter on esthetic dentistry. The purpose of this study was to analyze the content o...

Objectives To develop a lightweight deep convolutional neural network (CNN) for binary classification of oral lesions into benign and malignant or potentially malignant using standard real‐time clinical images. Methods A small deep CNN, that uses a pre‐trained EfficientNet‐B0 as a lightweight transfer learning model, was proposed. A dataset of 716...

Pathfinding is the problem of finding the shortest path between a pair of nodes in a graph. In the context of uniform-cost undirected grid maps, heuristic search algorithms, such as A ★ and weighted A ★ ( W A ★ ), have been dominantly used for pathfinding. However, the lack of knowledge about obstacle shapes in a gird map often leads heuristic sear...

A novel approach to managing a fully distributed cognitive radio network (CRN) is presented. This approach builds on the concept of history-based spectrum access, in which cognitive base stations (BSs) independently estimate the system load using history records and adaptively swap their occupied spectrum bands to ensure allocation fairness and hig...

Array data flow analysis (ADFA) is a classical method for collecting array section information in sequential programs. When applying ADFA to parallel OpenMP programs, array access information needs to be analyzed in loops whose iteration spaces are partitioned across threads. The analysis involves symbolic expressions that are functions of the orig...

We present the first fully automated compiler-runtime system that successfully translates and executes OpenMP shared-address-space programs on laboratory-size clusters, for the complete set of regular, repetitive applications in the NAS Parallel Benchmarks. We introduce a hybrid compiler-runtime translation scheme. Compared to previous work, this s...

OpenMP is an explicit parallel programming model that of-fers reasonable productivity. Its memory model assumes a shared address space, and hence the direct translation -as done by common OpenMP compilers -requires an underlying shared-memory architecture. Many lab machines include 10s of processors, built from commodity compo-nents and thus includ...