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Now showing items 1-14 of 14
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A Multiscale Algorithm for Joint Forecasting-Scheduling to Solve the Massive Access Problem of IoT
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020)The massive access problem of the Internet of Things (IoT) is the problem of enabling the wireless access of a massive number of IoT devices to the wired infrastructure. In this article, we describe a multiscale algorithm ... -
An Effective Discrete Artificial Bee Colony Algorithm for Scheduling an Automatic-Guided-Vehicle in a Linear Manufacturing Workshop
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020)This paper deals with a new automatic guided vehicle (AGV) scheduling problem from the material handling process in a linear manufacturing workshop. The problem is to determine a sequence of Cells for AGV to travel to ... -
Characterization of Line-of-Sight Link Availability in Indoor Visible Light Communication Networks Based on the Behavior of Human Users
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020)We characterize the line-of-sight (LOS) link availability in indoor visible light communication (VLC) networks based on the behavior of human users. The VLC link availability is impacted by humans in three distinct ways: ... -
Conditional Weighted Ensemble of Transferred Models for Camera Based Onboard Pedestrian Detection in Railway Driver Support Systems
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020)Pedestrian Detection (PD) is one of the most studied issues of driver assistance systems. Although a tremendous effort is already given to create datasets and to develop classifiers for cars, studies about railway systems ... -
Evaluating Reliability/Survivability of Capacitated Wireless Networks
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018)In telecommunication network design problems, survivability and reliability are often used to evaluate quality of service while usually ignoring link capacity. In this paper, a new metric that combines network reliability ... -
Exploiting Data Topology in Visualization and Clustering Self-Organizing Maps
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2009)The self-organizing map (SOM) is a powerful method for visualization, cluster extraction, and data mining. It has been used successfully for data of high dimensionality and complexity where traditional methods may often ... -
Future Trends and Current State of Smart City Concepts: A Survey
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020)Intelligent systems are wanting for cities to cope with limited spaces and resources across the world. As a result, smart cities emerged mainly as a result of highly innovative ICT industries and markets, and additionally, ... -
Graph Based Representations of Density Distribution and Distances for Self-Organizing Maps
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2010)The self-organizing map (SOM) is a powerful method for manifold learning because of producing a 2-D spatially ordered quantization of a higher dimensional data space on a rigid lattice and adaptively determining optimal ... -
Hierarchical Electric Vehicle Charging Aggregator Strategy Using Dantzig-Wolfe Decomposition
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018) -
Hierarchical Reconstruction and Structural Waveform Analysis for Target Classification
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2016)Classification of objects from scattered electromagnetic waves is a difficult problem, as it heavily depends on aspect angle. To minimize this dependency, distinguishable features can be used. In this paper, we propose a ... -
Online Learning ARMA Controllers With Guaranteed Closed-Loop Stability
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2016)This paper presents a novel online block adaptive learning algorithm for autoregressive moving average (ARMA) controller design based on the real data measured from the plant. The method employs ARMA input-output models ... -
Perspectives on the Gap Between the Software Industry and the Software Engineering Education
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019)The gap between the software industry and software engineering education was first mentioned three decades ago, in 1989. Since then, its existence has been regularly reported on and solutions to close it have been proposed. ... -
Transferring Synthetic Elementary Learning Tasks to Classification of Complex Targets
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019)Deep learning has a promising impact on target classification performance at the expense of huge training data requirements. Therefore, the use of simulated data is inevitable for convergence of deep models (DMs). However, ... -
User-driven Automatic Test-case Generation for DTV/STB Reliable Functional Verification
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2012)In recent years Digital TV receivers (DTV) and Set-Top Boxes (STB) have been advancing in terms of new functionalities they offer to the end-users. This has mainly been triggered by the appearance of new multimedia formats ...
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