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Optimally Allocating Energy Storage for Active Distribution Networks to Reduce the Risk Under N-1 Contingencies
Tao Ding;Chunzhu Li;Xiyuan Liu;Haipeng Xie;Yufei Tang;Can Huang
Publication Year: 2021,Page(s):1518 - 1527
Cited by: Papers (10)
In distribution networks, N-1 contingencies are the main threats to load loss. To reduce the risk from power system threats, the energy storage (ES) can be applied to mitigate the load loss after the N-1 contingencies. However, for a given number of ESs, different location of ESs may have different mitigation results. This article first proposes a bi-level optimization model to find an optimal all...Show More
A Study of the Applicability of Ideal Lattice-Based Fully Homomorphic Encryption Scheme to Ethereum Blockchain
Publication Year: 2021,Page(s):1528 - 1539
Cited by: Papers (7)
Without the requirement of trusted third parties (TTPs), Blockchain builds an environment where mutual trust among valid members is established. Nevertheless, the associated transparency property caused a hazard to real-world applications because every on-chain information is exposed to the public. That implies those applications involving sensitive data or personal information, which require secu...Show More
Minimizing Biosignal Recording Sites for Noninvasive Hybrid Brain/Neural Control
Alessia Cavallo;Vincent Roth;David Haslacher;Marius Nann;Surjo R. Soekadar
Publication Year: 2021,Page(s):1540 - 1546
Cited by: Papers (6)
Noninvasive brain/neural controlled robots are promising tools to improve autonomy and quality of life in severe paralysis, but require biosignal recordings, such as electroencephalography (EEG) and electrooculography (EOG), from various sites distributed over the user's head. This limits the applicability and practicality of noninvasive brain/neural robot control on an everyday basis. It would th...Show More
Network-Constrained Joint Energy and Flexible Ramping Reserve Market Clearing of Power- and Heat-Based Energy Systems: A Two-Stage Hybrid IGDT–Stochastic Framework
Mohammad Amin Mirzaei;Morteza Nazari-Heris;Behnam Mohammadi-Ivatloo;Kazem Zare;Mousa Marzband;Miadreza Shafie-Khah;Amjad Anvari-Moghaddam;João P. S. Catalão
Publication Year: 2021,Page(s):1547 - 1556
Cited by: Papers (37)
This article proposes a new two-stage hybrid stochastic–information gap-decision theory (IGDT) based on the network-constrained unit commitment framework. The model is applied for the market clearing of joint energy and flexible ramping reserve in integrated heat- and power-based energy systems. The uncertainties of load demands and wind power generation are studied using the Monte Carlo simulatio...Show More
Network-Constrained Joint Energy and Flexible Ramping Reserve Market Clearing of Power- and Heat-Based Energy Systems: A Two-Stage Hybrid IGDT–Stochastic Framework
Mohammad Amin Mirzaei;Morteza Nazari-Heris;Behnam Mohammadi-Ivatloo;Kazem Zare;Mousa Marzband;Miadreza Shafie-Khah;Amjad Anvari-Moghaddam;João P. S. Catalão
Year: 2021 | Volume: 15 | Issue: 2
Square-Root Sigma-Point Filtering Approach to State Estimation for Wind Turbine Generators in Interconnected Energy Systems
Samson S. Yu;Xinqi Fan;Tat Kei Chau;Hieu Trinh;Saeid Nahavandi
Publication Year: 2021,Page(s):1557 - 1566
Cited by: Papers (15)
The internal states of generators obtained by dynamic states estimation (DSE) may provide additional information for the control performances. However, conventional sigma-point Kalman filter (SPKF)-based DSE may experience the loss of positive definiteness and symmetricalness of state noise covariances. This article proposes three numerically stable square-root SPKF (SR-SPKF) algorithms and propos...Show More
Hybrid MAC Protocol for Brain–Computer Interface Applications
Publication Year: 2021,Page(s):1567 - 1577
Cited by: Papers (2)
Brain-computer interface (BCI) can permit individuals to use their thoughts as the sole means to control objects such as smart homes and robots. While BCI is a promising interdisciplinary tool, researchers are confronting network lifetime as an obstacle to further development. Furthermore, the medium access control (MAC) protocol is the bottleneck of the network reliability. There are many standar...Show More
Measurement of Resilience and the Time Value of Resilience
Publication Year: 2021,Page(s):1578 - 1585
Cited by: Papers (6)
In prior work, a measure of resilience for use in systems design and management was presented. The measure has the form of a time integral of the system performance level. This form generates the research question: Is the time value of resilience a meaningful concept, like the time value of money in engineering economics. This article presents four scenarios to explore the relationship between tim...Show More
Computational Efficient Authenticated Digital Content Distribution Frameworks for DRM Systems: Review and Outlook
Saurabh Rana;Mohammad S. Obaidat;Dheerendra Mishra;Sourav Mukhopadhyay;Balqies Sadoun
Publication Year: 2021,Page(s):1586 - 1593
Cited by: Papers (10)
Advancement in digital technologies presents a user-friendly environment for the digital content distribution. However, it makes digital content prone to piracy issues. Digital rights management (DRM) systems aim to ensure the authorized content usage. As the digital content broadcasts through the public network, a secure and authorized content access mechanism is required. As digital media users ...Show More
A Near-Optimal and Low-Complex Joint Multiuser Detection for QCSS-MC-CDMA System
Publication Year: 2021,Page(s):1594 - 1603
Cited by: Papers (5)
Joint maximum likelihood (ML) multiuser detection for quasi-synchronous multicarrier code division multiple access (MC-CDMA) system has an excessive computational complexity, and it increases exponentially as the number of users and bits in each of the modulation symbols increases. Recently, sphere decoding (SD) has been adopted for multiuser detection whose complexity is polynomial in nature with...Show More
A Near-Optimal and Low-Complex Joint Multiuser Detection for QCSS-MC-CDMA System
Year: 2021 | Volume: 15 | Issue: 2
Uncertainty Expression and Propagation in the Risk Assessment of Uncertain Random System
Publication Year: 2021,Page(s):1604 - 1615
Cited by: Papers (18)
Expressions and propagations of uncertainties have been the core topics in the development of risk science in last decades, whose purpose is to provide decision-makers with clear information about the uncertainty of system's risk. Uncertainty theory is an emerging theory that has great advantages in the expression of epistemic uncertainty, compared to the theories such as subjective probability, e...Show More
Uncertainty Expression and Propagation in the Risk Assessment of Uncertain Random System
Year: 2021 | Volume: 15 | Issue: 2
Low Complexity Fair Scheduling in LTE/LTE-A Uplink Involving Multiple Traffic Classes
Publication Year: 2021,Page(s):1616 - 1627
Cited by: Papers (10)
The bulk of the research on long term evolution/long term evolution-advanced [(LTE)/(LTE-A)] packet scheduling is concentrated in the downlink and the uplink and is comparatively less explored. In uplink, channel aware scheduling with throughput maximization has been widely studied while considering an infinitely backlogged buffer model, which makes the investigations unrealistic. Therefore, we pr...Show More
Low Complexity Fair Scheduling in LTE/LTE-A Uplink Involving Multiple Traffic Classes
Year: 2021 | Volume: 15 | Issue: 2
Degradation Modeling and Uncertainty Quantification for System-Level Prognostics
Ferhat Tamssaouet;Khanh T. P. Nguyen;Kamal Medjaher;Marcos E. Orchard
Publication Year: 2021,Page(s):1628 - 1639
Cited by: Papers (8)
Modern systems, that are often constituted of different interacting components, have increasing requirements for improving availability and safety when suffering unanticipated failures. Therefore, one needs to continuously monitor them, estimate and predict their health states through the implementation of prognostics and health management processes. To make this estimation and prediction more rel...Show More
Intelligent Traffic Management and Load Balance Based on Spike ISDN-IoT
Publication Year: 2021,Page(s):1640 - 1651
Cited by: Papers (13)
An intelligent software defined network (ISDN) based on an intelligent controller can manage and control the network in a remarkable way. In this article, a methodology is proposed to estimate the packet flow at the sensing plane in the software defined network-Internet of Things based on a partial recurrent spike neural network (PRSNN) congestion controller, to predict the next step ahead of pack...Show More
Achieving Channel Capacity of Visible Light Communication
Shuai Ma;Ruixin Yang;Yang He;Songtao Lu;Fuhui Zhou;Naofal Al-Dhahir;Shiyin Li
Publication Year: 2021,Page(s):1652 - 1663
Cited by: Papers (11)
In this article, we propose an efficient inexact gradient descent method to obtain the channel capacity-achieving input distribution of visible light communication (VLC). Under both a peak and an average optical power constraints, finding the channel capacity of VLC is formulated as a mixed continuous-discrete optimization problem without an analytical expression of the objective function. To solv...Show More
Achieving Channel Capacity of Visible Light Communication
Shuai Ma;Ruixin Yang;Yang He;Songtao Lu;Fuhui Zhou;Naofal Al-Dhahir;Shiyin Li
Year: 2021 | Volume: 15 | Issue: 2
Assigning Multiple AUVs to Form Arrays Under Communication Range Limitations Based on the Element Zero Method
Publication Year: 2021,Page(s):1664 - 1673
Cited by: Papers (5)
The array formed by multiple AUVs can effectively improve target detection capabilities when each AUV is equipped with a sonar unit. However, due to the limited data processing capabilities of an AUV and its communication range limitations, efficiently forming and transforming arrays are challenging. Therefore, this article innovatively uses the optimal assignment in operations research to solve t...Show More
Unified Controller for Bimodal Operation of Cuk Converter Assisted SEIG-Based DC Nanogrid
Publication Year: 2021,Page(s):1674 - 1683
Cited by: Papers (5)
This article proposes a unified controller for Cuk converter assisted variable speed wind turbine driven self-excited induction generator (SEIG) in dc nanogrid configuration for rural electrification. Cuk converter assisted SEIG based wind energy conversion system (WECS) is considered as a master source in the proposed nanogrid, which operates in both grid-connected and islanded mode of operation....Show More
A Three-Phase Grid-Tied Residential PV System Using GSOF-Based Control
Publication Year: 2021,Page(s):1684 - 1692
Cited by: Papers (2)
This article deals with a generalized second-order filter (GSOF) for a two-stage grid interfaced solar photovoltaic (PV) system at abnormal situations of dc offset, voltage unbalances and distortions, grid faults, variable PV array irradiation and grid voltage sags/swells. The prime objective of using this GSOF control is to extract positive sequence components from the unbalanced and distorted vo...Show More
A Three-Phase Grid-Tied Residential PV System Using GSOF-Based Control
Year: 2021 | Volume: 15 | Issue: 2
AR-Based Half-Duplex Attack in Beyond 5G Networks
Publication Year: 2021,Page(s):1693 - 1704
Cited by: Papers (4)
With the evolution of wireless communication networks (WCNs), the absolute fulfillment of security occupies the fundamental concern. In view of security, we have identified another research direction based on the attenuation impact of rain in WCN. An approach is initiated by an eavesdropper in which a secure communication environment is degraded by generating artificial rain (AR), which creates an...Show More
A Lightweight Data Aggregation Protocol With Privacy-Preserving for Healthcare Wireless Sensor Networks
Publication Year: 2021,Page(s):1705 - 1716
Cited by: Papers (16)
In recent years, healthcare wireless sensor networks (HWSNs) have received extensive attention. Due to the direct participation of patients' personal health data, privacy issues, and security are very sensitive in HWSNs. How to aggregate the sensitive patient information securely and efficiently is still a challenging task to the HWSNs communication scenario. In this article, a lightweight data ag...Show More
A Lightweight Data Aggregation Protocol With Privacy-Preserving for Healthcare Wireless Sensor Networks
Year: 2021 | Volume: 15 | Issue: 2
A Comprehensive Survey of Databases and Deep Learning Methods for Cybersecurity and Intrusion Detection Systems
Publication Year: 2021,Page(s):1717 - 1731
Cited by: Papers (84)
This survey presents a comprehensive overview of machine learning methods for cybersecurity intrusion detection systems, with a specific focus on recent approaches based on deep learning (DL). The review analyzes recent methods with respect to their intrusion detection mechanisms, performance results, and limitations as well as whether they use benchmark databases to ensure a fair evaluation. In a...Show More
A Provably Secure and Lightweight Identity-Based Two-Party Authenticated Key Agreement Protocol for IIoT Environments
Daya Sagar Gupta;SK Hafizul Islam;Mohammad S. Obaidat;Pandi Vijayakumar;Neeraj Kumar;YoHan Park
Publication Year: 2021,Page(s):1732 - 1741
Cited by: Papers (56)
With the significant development of the Internet, Internet of Things (IoT) has become an emerging technology in many industries. To support security and privacy in the Industrial IoT environment, a user may interact with another user on the Internet to share confidential information, which requires an authenticated communication channel. To meet this demand, in this article the authors developed a...Show More
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Concordia University, Department of Electrical and Computer Engineering
Montreal,QC
Canada
aghdam@ece.concordia.caContact Information
Editor-in-Chief
Professor
Concordia University, Department of Electrical and Computer Engineering
Montreal,QC
Canada
aghdam@ece.concordia.caIEEE Account
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