List of Titles

SPEED: A deep learning assisted privacy-preserved framework for intelligent transportation systems

- Usman, Muhammad, Jan, Mian, Jolfaei, Alireza

Authors: Usman, Muhammad , Jan, Mian , Jolfaei, Alireza
Date: 2021
Type: Text , Journal article
Relation: IEEE Transactions on Intelligent Transportation Systems Vol. 22, no. 7 (2021), p. 4376-4384
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Description: Roadside cameras in an Intelligent Transportation System (ITS) are used for various purposes, e.g., monitoring the speed of vehicles, violations of laws, and detection of suspicious activities in parking lots, streets, and side roads. These cameras generate big multimedia data, and as a result, the ITS faces challenges like data management, redundancy, and privacy breaching in end-to-end communication. To solve these challenges, we propose a framework, called SPEED, based on a multi-level edge computing architecture and machine learning algorithms. In this framework, data captured by end-devices, e.g., smart cameras, is distributed among multiple Level-One Edge Devices (LOEDs) to deal with data management issue and minimize packet drop due to buffer overflowing on end-devices and LOEDs. The data is forwarded from LOEDs to Level-Two Edge Devices (LTEDs) in a compressed sensed format. The LTEDs use an online Least-Squares Support-Vector Machines (LS-SVMs) model to determine distribution characteristics and index values of compressed sensed data to preserve its privacy during transmission between LTEDs and High-Level Edge Devices (HLEDs). The HLEDs estimate the redundancy in forwarded data using a deep learning architecture, i.e., a Convolutional Neural Network (CNN). The CNN is used to detect the presence of moving objects in the forwarded data. If a movement is detected, the data is forwarded to cloud servers for further analysis otherwise discarded. Experimental results show that the use of a multi-level edge computing architecture helps in managing the generated data. The machine learning algorithms help in addressing issues like data redundancy and privacy-preserving in end-to-end communication. © 2000-2011 IEEE.

A new solar power prediction method based on feature clustering and hybrid-classification-regression forecasting

- Nejati, Maryam, Amjady, Nima

Authors: Nejati, Maryam , Amjady, Nima
Date: 2022
Type: Text , Journal article
Relation: IEEE transactions on sustainable energy Vol. 13, no. 2 (2022), p. 1188-1198
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Description: Solar generation systems are globally extending in terms of scale and number, which highlights the increasing importance of solar power forecast. In this paper, a day-ahead solar power prediction method is proposed including 1) a novel feature selecting/clustering approach based on relevancy and redundancy criteria and 2) an innovative hybrid-classification-regression forecasting engine. The proposed feature selecting/clustering approach filters out irrelevant features and partitions relevant features to two separate subsets to decrease the redundancy of features. Each of these two subsets is separately trained by one forecasting engine and the final solar power prediction of the proposed method is obtained by a relevancy-based combination of these two forecasts. The proposed forecasting engine classifies the historical data based on the learnability of its constituent regression models and assigns each class of training samples to one regression model. Each regression model predicts the outputs of the test samples that belong to its class. The effectiveness of the proposed solar power prediction method is illustrated by testing on two real-world solar farms.

Investigation on system reliability optimization based on classification of criteria

- Khorshidi, Hadi, Gunawan, Indra, Ibrahim, Yousef

Authors: Khorshidi, Hadi , Gunawan, Indra , Ibrahim, Yousef
Date: 2013
Type: Text , Conference proceedings
Relation: Industrial Technology (ICIT), 2013 IEEE International Conference, Capetown, SA. 25-28 Feb. 2013 p.1706-1711
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Description: System reliability optimization has been considered as an area to improve the operational availability of electrical and manufacturing systems. This research area addresses system reliability estimation and mathematical model development. This paper presents a -review on system reliability optimization techniques based on different classification of criteria. The main criteria considered in this study are system structure, system state, optimization model, allocation model, modeling and solution methods. The classification can provide an overview of all criteria that should be used to make optimal decisions in a system by taking the reliability into account. Not only it can assist the researchers to develop new optimization models, but also it presents the practitioners how system reliability optimization models can help industries. The paper also discusses the limitations of the present techniques in this area.

A new feature selection technique for load and price forecast of electrical power systems

- Abedinia, Oveis, Amjady, Nima, Zareipour, Hamidreza

Authors: Abedinia, Oveis , Amjady, Nima , Zareipour, Hamidreza
Date: 2017
Type: Text , Journal article
Relation: IEEE transactions on power systems Vol. 32, no. 1 (2017), p. 62-74
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Description: Load and price forecasts are necessary for optimal operation planning in competitive electricity markets. However, most of the load and price forecast methods suffer from lack of an efficient feature selection technique with the ability of modeling the nonlinearities and interacting features of the forecast processes. In this paper, a new feature selection method is presented. An important contribution of the proposed method is modeling interaction in addition to relevancy and redundancy, based on information-theoretic criteria, for feature selection. Another main contribution of the paper is proposing a hybrid filter-wrapper approach. The filter part selects a minimum subset of the most informative features by considering relevancy, redundancy, and interaction of the candidate inputs in a coordinated manner. The wrapper part fine-tunes the settings of the composite filter.

Implementing PRP and HSR Schemes in a HV Substation based on IEC62439-3

- Kumar, Shantanu, Das, Narottam, Islam, Syed

Authors: Kumar, Shantanu , Das, Narottam , Islam, Syed
Date: 2018
Type: Text , Conference proceedings
Relation: 2018 Condition Monitoring and Diagnosis (CMD); Perth, WA, Australia; 23-26 Sept. 2018 p. 1-5
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Description: High speed communication is an essential feature of Substation Automation and Control. Existing International Electro-technical Commission (IEC) 61850 guidelines substation automation and communication systems have few shortcomings in the protection architecture which necessitated an upgrade to another guideline. This has been addressed better in IEC 62439-3 standard encompassing Parallel Redundancy Protocol (PRP) and High-availability Seamless Redundancy (HSR), Earlier there have been number of issues with IEC 61850, due to single port failure, data losses and interoperability related to multi-vendor equipment. The enhanced features of a Double Attached Node component based on IEC 62439-3, provide redundancy in protection by virtue of having two active frames circulating in the ring. These frames send out copies in the ring. Should one of them be lost, the destination node will receive alternate frame, ensuring flawless data transfer at a significant faster speed in a multi-vendor equipment ensuring the circuit is fault resilient. PRP and HSR topologies promise enhanced reliability over IEC 61850 standard due to faster processing capabilities, increased availability in the scheme with least delay time in circulating data packet in wireless communication in the network. This paper exhibit performance of PRP and HSR topologies addressing redundancy within the network ring leveraging on IEC 62439-3.

Efficient coding of depth map by exploiting temporal correlation

- Shahriyar, Shampa, Murshed, Manzur, Ali, Mortuza, Paul, Manoranjan

Authors: Shahriyar, Shampa , Murshed, Manzur , Ali, Mortuza , Paul, Manoranjan
Date: 2014
Type: Text , Conference proceedings
Relation: 2014 International Conference on Digital Image Computing : Techniques and Applications (DICTA); Wollongong, Australia; 25th-27th November 2014
Relation: http://purl.org/au-research/grants/arc/DP130103670
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Description: With the growing demands for 3D and multi-view video content, efficient depth data coding becomes a vital issue in image and video coding area. In this paper, we propose a simple depth coding scheme using multiple prediction modes exploiting temporal correlation of depth map. Current depth coding techniques mostly depend on intra-coding mode that cannot get the advantage of temporal redundancy in the depth maps and higher spatial redundancy in inter-predicted depth residuals. Depth maps are characterized by smooth regions with sharp edges that play an important role in the view synthesis process. As depth maps are more sensitive to coding errors, use of transformation or approximation of edges by explicit edge modelling has impact on view synthesis quality. Moreover, lossy compression of depth map brings additional geometrical distortion to synthetic view. In this paper, we have demonstrated that encoding inter-coded depth block residuals with quantization at pixel domain is more efficient than the intra-coding techniques relying on explicit edge preservation. On standard 3D video sequences, the proposed depth coding has achieved superior image quality of synthesized views against the new 3D-HEVC standard for depth map bit-rate 0.25 bpp or higher.

Novel notions of zero injection property of buses in optimal PMU location with efficient observability enhancement focusing on security concepts

- Ghamsari-Yazdel, Mohammad, Najafi, Hamid reza, Amjady, Nima

Authors: Ghamsari-Yazdel, Mohammad , Najafi, Hamid reza , Amjady, Nima
Date: 2019
Type: Text , Journal article
Relation: Electric power systems research Vol. 169, no. (2019), p. 24-34
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Description: •Novel concepts in zero-injection buses (ZIBs) are introduced.•The reliability of fragile areas monitoring from overvoltage viewpoint is enhanced.•PMUs/redundant measurements are optimally located based on overvoltage risk sensitivity of buses.•New security concepts are introduced to model channel failure, PMU loss, and branch outage.•In the case of branch outage, selective security criteria are considered so as to enhance security of network observability against cascading failures. In this paper, a new method is proposed for security-oriented, optimal placement of phasor measurement units (PMUs) incorporating efficient observability redundancy. In this way, novel concepts in zero-injection buses (ZIBs) are introduced. The proposed concepts regard aspects of the ZIBs effect that have not yet been studied thus, by applying this concept, maximum possible capacity of the ZIBs will be available for use. Therefore, the proposed method is capable of producing optimum possible results with tangibly higher ZIBs capacity usage and measurement redundancy levels than those reached in preceding works. In addition, the reliability of fragile areas monitoring from overvoltage viewpoint is enhanced. Considering the fact that complete synchronized network observability is undeniably significant for making control decision in critical conditions to avoid brownouts or blackouts, a novel practical framework is proposed based on backup observability concept in order to model branch outage in addition to PMU loss and channel failure. All proposed security models can be tested by practical, large-scale test systems such as Polish 2383- and 3375-bus. Also, in the case of branch outage, selective security criteria are considered so as to enhance security of network observability against cascading failures in electric power systems.

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