Search
Now showing items 1-20 of 41
Load and PV Generation Forecast Based Cost Optimization for Nanogrids with PV and Battery
(Institute of Electrical and Electronics Engineers Inc., 2018-11-20)
Power system resiliency and robustness became major concerns of the system operators and researchers after the introduction of the smart grid concept. The improvements in the battery storage systems (BSS) and the photovoltaic ...
Why the Names? Anubanini and His Clan in the Cuthaean Legend
(2014)
This article is a study of the ancient Mesopotamian literary text known as the 'Cuthaean Legend'. This Naram-Sin legend is known from several versions in the extant cuneiform corpus of texts (Westenholz 1997). The names ...
Automated Image Matching and New Readings for Cyrus the Great's 547 BC Campaign in the Nabonidus Chronicle (BM 35382 = ABC 7)
(Vandenhoeck & Ruprecht, 2017-12)
This article introduces an automated image matching technique called Scale Invariant Feature Transform (SIFT) as a tool to supplement the collation of problematic cuneiform signs. The Nabonidus Chronicle (II, 16), which ...
Deep convolutional autoencoder for radar-based classification of similar aided and unaided human activities
(IEEE, 2018-08)
Radar-based activity recognition is a problem that has been of great interest due to applications such as border control and security, pedestrian identification for automotive safety, and remote health monitoring. This ...
Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach
(Elsevier Ltd, 2018-09)
Computational intelligence techniques for financial trading systems have always been quite popular. In the last decade, deep learning models start getting more attention, especially within the image processing community. ...
Feature diverse hierarchical classification of human gait with CW radar for assisted living
(Institution of Engineering and Technology, 2017-10-26)
Activity recognition and estimation of gait parameter are medically essential components of remote health monitoring systems that can improve quality of life, enable personalized treatments, acquire continual medical data ...
A Multi-Agent System Model for Partner Selection Process in Virtual Enterprise
(ELSEVIER Science BV, 2014)
Virtual Enterprise (VE) is a collaboration model between multiple business partners in a value chain. VE information system deals with highly dynamic information from heterogeneous data sources. In order to manage and store ...
Clustering Quality Improvement of k-means using a Hybrid Evolutionary Model
(ELSEVIER Science BV, 2015)
Choosing good candidates for the initial centroid selection process for compact clustering algorithms, such as k-means, is essential for clustering quality and performance. In this study, a novel hybrid evolutionary model ...
Developing a Two Level Options Trading Strategy Based on Option Pair Optimization of Spread Strategies with Evolutionary Algorithms
(IEEE, 2015)
In this study, a two level options trading strategy is modelled and optimized with Genetic Algorithms and Particle Swarm Optimization for profit maximization. In the first level, the trend is found and in the second level, ...
Estimation of parameters for the free-form machining with deep neural network
(IEEE, 2017)
Predictive Analytics is a crucial part of a Big Data application. Lately, developers have turned their attention to deep learning models due to their huge success in various implementations. Meanwhile, there is lack of ...
Automated generation of attack graphs using NVD
(Association for Computing Machinery, Inc., 2018)
Today’s computer networks are prone to sophisticated multi-step, multi-host attacks. Common approaches of identifying vulnerabilities and analyzing the security of such networks with naive methods such as counting the ...
Ontology-centric Data Modelling and Decision Support in Smart Grid Applications A Distribution Service Operator Perspective
(IEEE, 2014)
Conventional electricity distribution grids are getting smarter by coupling operation technologies with advanced information and communication technologies (ICT). This provides a better, reliable, cost effective and efficient ...
Weather Data Analysis and Sensor Fault Detection Using An Extended IoT Framework with Semantics, Big Data, and Machine Learning
(IEEE, 2017)
In recent years, big data and Internet of Things (IoT) implementations started getting more attention. Researchers focused on developing big data analytics solutions using machine learning models. Machine learning is a ...
Partner selection in formation of virtual enterprises using fuzzy logic
(SciTePress, 2015)
Virtual Enterprise (VE) is a temporary cooperation among independent enterprises to build up a dynamic collaboration framework for manufacturing. One of the most important steps to construct a successful VE is to select ...
Optimized GPU implementation of JPEG 2000 for satellite image decompression
(Institute of Electrical and Electronics Engineers Inc., 2018-12-24)
JPEG 2000 is a powerful yet computationally complex image compression algorithm which is widely used in remote sensing applications. In this work, we focus on speeding-up the decompression algorithm by applying various GPU ...
Support Vector Regression and Computational Fluid Dynamics Modeling of Newtonian and Non-Newtonian Fluids in Annulus With Pipe Rotation
(ASME, 2015-05)
The estimation of the pressure losses inside annulus during pipe rotation is one of the main concerns in various engineering professions. Pipe rotation is a considerable parameter affecting pressure losses in annulus during ...
Pressure drop estimation in horizontal annuli for liquid-gas 2 phase flow: Comparison of mechanistic models and computational intelligence techniques
(Pergamon - Elsevier Science ltd., 2015-05-02)
Frictional pressure loss calculations and estimating the performance of cuttings transport during underbalanced drilling operations are more difficult due to the characteristics of multi-phase fluid flow inside the wellbore. ...
A New Model to Determine the Two-phase Drilling Fluid Behavior Through Horizontal Eccentric Annular Geometry, Part A: Flow Pattern Identification and Liquid Hold-up Estimation
(Taylor &Francis Inc., 2015)
Flow patterns, liquid holdup, and frictional pressure gradient are three importance parameters to study the multiphase drilling fluid behavior. Although two-phase fluid flow is studied in detail for pipes, there exists a ...
A New Model to Determine the Two-phase Drilling Fluid Behaviors through Horizontal Eccentric Annular Geometry, Part B: Frictional Pressure Losses Estimation
(Taylor & Francis Inc., 2015)
Drilling with aerated muds is becoming more often used in underbalanced drilling operations. One of the major challenges that has to be faced in such operations is the estimation of the physical behavior of aerated fluids ...
An ontology-based multi-agent virtual enterprise system (OMAVE): part 2: partner selection
(Taylor & Francis Inc., 2017)
A virtual enterprise (VE) is a collaboration model between multiple business partners in a value chain. The VE model is particularly feasible and appropriate for small- and medium-sized enterprises (SMEs) and industrial ...
