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Recent Submissions

Automated shopping system using computer vision
Odeh, Nemer; Direkoglu, Cem (Springer Science and Business Media LLC, 2020-11-01)
The shopping experiment made by amazon go in USA is one of the most interesting applications of computer vision recently. They allow you to shop and automatically charge your virtual card for whatever goods you purchased u...
Utilisation of waste marble dust for improved durability and cost efficiency of pozzolanic concrete
Ince, Ceren; Hamza, Ali; Derogar, Shahram; Ball, Richard James (Elsevier BV, 2020-10-01)
This study demonstrates that the incorporation of waste marble dust to pozzolanic concrete improves the long-term mechanical properties and durability characteristics. A comprehensive study utilising specimens containing a...
A Cognitive Routing Protocol for Bio-Inspired Networking in the Internet of Nano-Things (IoNT)
Al-Turjman, Fadi (Springer Science and Business Media LLC, 2020-10-01)
In this paper, we propose a framework for data delivery in nano-scale networks, where numerous wireless sensors are distributed on a human body, small object, tiny plant root, etc. Our framework caters for green energy-eff...
Rate and pressure behavior considering the fractal characteristics of structurally disordered fractured reservoirs
Al-Rbeawi, Salam (Springer Science and Business Media LLC, 2020-10-01)
The main objective of this paper is to understand the impact of the fractal characteristics of fractured reservoirs on their pressure behavior, flow rate decline, and productivity index. The paper proposes a new methodolog...
AI for dynamic packet size optimization of batteryless IoT nodes: a case study for wireless body area sensor networks
Tabrizi, Hamed Osouli; Al-Turjman, Fadi (Springer Science and Business Media LLC, 2020-10-01)
Packet size optimization, with the purpose of minimizing the wireless packet transmission energy consumption, is crucial for the energy efficiency of the Internet of Things nodes. Meanwhile, energy scavenging from ambient ...
Influence of Initial Void Ratio on Critical State Behaviour of Poorly Graded Fine Sands
Ekinci, Abdullah; Hanafi, Mohamad; Ferreira, Pedro Miguel Vaz (2020-10-01)
The application of critical state framework depends on the presence of either a unique critical state line (CSL). However, many authors have observed that a transitional behaviour occurs in certain granular intermediate so...
Feasibility analysis of solar photovoltaic-wind hybrid energy system for household applications
Al-Turjman, Fadi; Qadir, Zakria; Abujubbeh, Mohammad; Batunlu, Canras (Elsevier BV, 2020-09-01)
The significance of renewable energy resources provide a great opportunity to meet a single household electricity demand in Northern Cyprus. Purposefully, a 6 kW PV-Wind hybrid system seems to offer significant economic sa...
Strength, Stiffness, and Microstructure of Wood-Ash Stabilized Marine Clay
Ekinci, Abdullah; Hanafi, Mohammad; Aydin, Ertug (2020-09-01)
The world's population is growing at a rapid pace, thus increasing the need for shelter, which, because of increased carbon emissions, is making our planet less habitable. Thus, supplementary cementitious materials (SCMs) ...
100% Renewable Energy Grid for Rural Electrification of Remote Areas: A Case Study in Jordan
Al-Ghussain, Loiy; Abujubbeh, Mohammad; Darwish Ahmad, Adnan; Abubaker, Ahmad M.; Taylan, Onur; Fahrioglu, Murat; Akafuah, Nelson K. (MDPI AG, 2020-09-01)
Many developing countries suffer from high energy-import dependency and inadequate electrification of rural areas, which aggravates the poverty problem. In this work, Al-Tafilah in Jordan was considered as a case study, wh...
The performance of complex-structure fractured reservoirs considering natural and induced matrix block size, shape, and distribution
Al-Rbeawi, Salam (Elsevier BV, 2020-09-01)
This paper introduces an analytical approach for the performance of the fractured reservoir considering the impact of the matrix block size, shape, and distribution. The objective is better understanding the roles of the v...
Flow-Regime-Based Inflow-Performance Relationships of Unconventional Fractured Reservoirs
Al-Rbeawi, Salam (Society of Petroleum Engineers (SPE), 2020-08-01)
The main objective of this paper is to develop a new approach for constructing the inflow-performance relationships (IPRs) of unconventional reservoirs. The proposed approach focuses on using transient- and pseudosteady-st...
Effect of geosynthetic reinforcement on the bearing capacity of strip footing on sandy soil
Al-Subari, L.; Hanafi, M.; Ekinci, A. (2020-08-01)
Due to the increasing presence of problematic soils, expansive clays and highly compressive sand engineers are using a verity of soil improvement techniques to treat such soils. While geosynthetics are extensively used for...
Detecting High-Functioning Autism in Adults Using Eye Tracking and Machine Learning
Yaneva, Victoria; Le An Ha, Le An Ha; Eraslan, Sukru; Yesilada, Yeliz; Mitkov, Ruslan (Institute of Electrical and Electronics Engineers (IEEE), 2020-06-01)
The purpose of this study is to test whether visual processing differences between adults with and without high-functioning autism captured through eye tracking can be used to detect autism. We record the eye movements of ...
The impact of spatial and temporal variability of anomalous diffusion flow mechanisms on reservoir performance in structurally complex porous media
Al-Rbeawi, Salam (Elsevier BV, 2020-06-01)
The main objective of this paper is understanding the phenomenal anomalous diffusion flow mechanisms in unconventional fractured porous media. The targets are hydraulically fractured unconventional reservoirs characterized...
Shear Capacity N-M Interaction Envelope for RC Beam-Column Joints with Transverse Reinforcement: A Concept Derived from Strength Hierarchy
Tasligedik, Ali Sahin (Informa UK Limited, 2020-06-01)
Strength hierarchy assessment method is a capacity analysis procedure that can be used to identify the sequence of failures likely to occur within reinforced concrete (RC) frame buildings under lateral actions such as eart...
Fully Integrated Autonomous Interface With Maximum Power Point Tracking for Energy Harvesting TEGs With High Power Capacity
Tabrizi, Hamed Osouli; Jayaweera, Herath M. P. C.; Muhtaroglu, Ali (Institute of Electrical and Electronics Engineers (IEEE), 2020-05-01)
In this article, a novel fully autonomous and integrated power management interface circuit is introduced for energy harvesting using thermoelectric generators (TEGs) to supply power to Internet of Thing nodes. The circuit...
Comparing the probing systems of coordinate measurement machine: Scanning probe versus touch-trigger probe
Bastas, Ali (Elsevier BV, 2020-05-01)
An increasing level of research is focalising around the Coordinate Measurement Machine (CMM) as an important dimensional inspection instrumentation, that is utilised in a wide range of industrial metrology applications wi...
Electromagnetic simulations of polarization-insensitive and wide-angle multiband metamaterial absorber by incorporating double asterisk resonator
Abdulkarim, Yadgar; Deng Lianwen, Deng Lianwen; Luo Heng, Luo Heng; Huang Shengxiang, Huang Shengxiang; He Longhui, He Longhui; Li Yuhan, Li Yuhan; Muhammadsharif, Fahmi F.; ALTINTAŞ, OLCAY; Sabah, Cumali; KARAASLAN, MUHARREM (Springer Science and Business Media LLC, 2020-04-25)
A novel multiband metamaterial absorber (MTMA) is proposed which is capable of well presenting a polarization-insensitive and wide incident angle stability in the microwave frequency range. The proposed MTMA comprising two...
Selection of candidate wells for re-fracturing in tight gas sand reservoirs using fuzzy inference
Artun, Emre; Kulga, Burak (Elsevier BV, 2020-04-01)
An artificial-intelligence based decision-making protocol is developed for tight gas sands to identify re-fracturing wells and used in case studies. The methodology is based on fuzzy logic to deal with imprecision and subj...
HCAB-SMOTE: A Hybrid Clustered Affinitive Borderline SMOTE Approach for Imbalanced Data Binary Classification
Al Majzoub, Hisham; Elgedawy, Islam; Akaydin, Oyku; Ulukok, Mehtap Kose (2020-04-01)
Binary datasets are considered imbalanced when one of their two classes has less than 40% of the total number of the data instances (i.e., minority class). Existing classification algorithms are biased when applied on imba...
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