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Bilal Masood
School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China

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Research article
Published: 27 August 2021 in Journal of Healthcare Engineering
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For drug resistance patients, removal of a portion of the brain as a cause of epileptic seizures is a surgical remedy. However, before surgery, the detailed analysis of the epilepsy localization area is an essential and logical step. The Electroencephalogram (EEG) signals from these areas are distinct and are referred to as focal, while the EEG signals from other normal areas are known as nonfocal. The visual inspection of multiple channels for detecting the focal EEG signal is time-consuming and prone to human error. To address this challenge, we propose a novel method based on differential operator and Tunable Q-factor wavelet transform (TQWT) to distinguish the focal and nonfocal signals. For this purpose, first, the EEG signal was differenced and then decomposed by TQWT. Second, several entropy-based features were derived from the TQWT subbands. Third, the efficacy of the six binary feature selection algorithms, binary bat algorithm (BBA), binary differential evolution (BDE) algorithm, firefly algorithm (FA), genetic algorithm (GA), grey wolf optimization (GWO), and particle swarm optimization (PSO), was evaluated. In the end, the selected features were fed to several machine learning and neural network classifiers. We observed that the PSO with neural networks provides an effective solution for the application of focal EEG signal detection. The proposed framework resulted in an average classification accuracy of 97.68%, a sensitivity of 97.26%, and a specificity of 98.11% in a tenfold cross-validation strategy, which is higher than the state of the art used in the public Bern-Barcelona EEG database.

ACS Style

Muhammad Tariq Sadiq; Hesam Akbari; Ateeq Ur Rehman; Zuhaib Nishtar; Bilal Masood; Mahdieh Ghazvini; Jingwei Too; Nastaran Hamedi; Mohammed K. A. Kaabar. Exploiting Feature Selection and Neural Network Techniques for Identification of Focal and Nonfocal EEG Signals in TQWT Domain. Journal of Healthcare Engineering 2021, 2021, 1 -24.

AMA Style

Muhammad Tariq Sadiq, Hesam Akbari, Ateeq Ur Rehman, Zuhaib Nishtar, Bilal Masood, Mahdieh Ghazvini, Jingwei Too, Nastaran Hamedi, Mohammed K. A. Kaabar. Exploiting Feature Selection and Neural Network Techniques for Identification of Focal and Nonfocal EEG Signals in TQWT Domain. Journal of Healthcare Engineering. 2021; 2021 ():1-24.

Chicago/Turabian Style

Muhammad Tariq Sadiq; Hesam Akbari; Ateeq Ur Rehman; Zuhaib Nishtar; Bilal Masood; Mahdieh Ghazvini; Jingwei Too; Nastaran Hamedi; Mohammed K. A. Kaabar. 2021. "Exploiting Feature Selection and Neural Network Techniques for Identification of Focal and Nonfocal EEG Signals in TQWT Domain." Journal of Healthcare Engineering 2021, no. : 1-24.

Journal article
Published: 28 April 2021 in IEEE Access
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There are surplus applications in modern smart cities where localization of indoor environments is critical ranging from surveillance and trailing in smart structures to the localized wireless distribution of advertising content in shopping malls. These applications are only successful if a robust and cost-effective real-time system is developed for precise localization. Another aspect considered for indoor localization is power consumption. Recent wireless standards such as Bluetooth Low Energy (BLE) and LoRa consume less power which makes them a perfect candidate for indoor localization. This work aims to carry out an experimental evaluation which would help to decide which wireless standard i.e., Wi-Fi, Bluetooth Low Energy (BLE), and LoRa are most suitable for indoor localization. Experiments are carried out using trilateration in three multiple environments. RSSI is used to calculate the coordinates of a sensor node. Results obtained from the experiment show that Wi-Fi is most accurate with an average error of 0.54 m. LoRa is second most accurate with an average error of 0.62 m and BLE is the least accurate with an average error of 0.82 m. These results can be used to decide which wireless standard is best suited for indoor localization.

ACS Style

Fasih Ullah Khan; Muhammad Awais; Muhammad Babar Rasheed; Bilal Masood; Yazeed Ghadi. A Comparison of Wireless Standards in IoT for Indoor Localization Using LoPy. IEEE Access 2021, 9, 65925 -65933.

AMA Style

Fasih Ullah Khan, Muhammad Awais, Muhammad Babar Rasheed, Bilal Masood, Yazeed Ghadi. A Comparison of Wireless Standards in IoT for Indoor Localization Using LoPy. IEEE Access. 2021; 9 ():65925-65933.

Chicago/Turabian Style

Fasih Ullah Khan; Muhammad Awais; Muhammad Babar Rasheed; Bilal Masood; Yazeed Ghadi. 2021. "A Comparison of Wireless Standards in IoT for Indoor Localization Using LoPy." IEEE Access 9, no. : 65925-65933.

Original research paper
Published: 15 December 2020 in IET Generation, Transmission & Distribution
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ACS Style

Bilal Masood; Song Guobing; Rizwan Ali Naqvi; Muhammad Babar Rasheed; Junjie Hou; Ateeq Ur Rehman. Measurements and channel modeling of low and medium voltage NB‐PLC networks for smart metering. IET Generation, Transmission & Distribution 2020, 15, 321 -338.

AMA Style

Bilal Masood, Song Guobing, Rizwan Ali Naqvi, Muhammad Babar Rasheed, Junjie Hou, Ateeq Ur Rehman. Measurements and channel modeling of low and medium voltage NB‐PLC networks for smart metering. IET Generation, Transmission & Distribution. 2020; 15 (2):321-338.

Chicago/Turabian Style

Bilal Masood; Song Guobing; Rizwan Ali Naqvi; Muhammad Babar Rasheed; Junjie Hou; Ateeq Ur Rehman. 2020. "Measurements and channel modeling of low and medium voltage NB‐PLC networks for smart metering." IET Generation, Transmission & Distribution 15, no. 2: 321-338.

Research article
Published: 01 December 2020 in IET Generation, Transmission & Distribution
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This study investigates the feasibility of advanced metering infrastructure (AMI) based on narrowband power line communications (NB-PLC) by incorporating all possible types of low voltage (LV) and medium voltage (MV) power line channels. The extensive field measurements are carried out on six selected sites that include residential, commercial, and industrial LV and MV NB-PLC channels. On the basis of measured results, NB-PLC channels of various under evaluation sites are segregated into two classes i.e. worst and good channels for both LV and MV networks. The simulation models for the modelling of LV and MV NB-PLC channels by considering the practical data of measured sites are developed and thus proposed. The proposed methods are validated by comparing the measured and simulated results. A sophisticated mechanism for the modelling of LV and MV network impedances and capacitive coupling device is formulated. The proposed analyses and simulation-based NB-PLC channel models can play a key role in examining the characteristics of various types of NB-PLC channels. This research work will help to standardise the future smart metering equipment and sensing devices of power system protection.

ACS Style

Bilal Masood; Song Guobing; Sobia Baig; Muhammad Babar Rasheed; Junjie Hou. Measurements and characterisation of low and medium voltage residential, commercial, and industrial NB‐PLC networks for AMI. IET Generation, Transmission & Distribution 2020, 14, 6663 -6673.

AMA Style

Bilal Masood, Song Guobing, Sobia Baig, Muhammad Babar Rasheed, Junjie Hou. Measurements and characterisation of low and medium voltage residential, commercial, and industrial NB‐PLC networks for AMI. IET Generation, Transmission & Distribution. 2020; 14 (26):6663-6673.

Chicago/Turabian Style

Bilal Masood; Song Guobing; Sobia Baig; Muhammad Babar Rasheed; Junjie Hou. 2020. "Measurements and characterisation of low and medium voltage residential, commercial, and industrial NB‐PLC networks for AMI." IET Generation, Transmission & Distribution 14, no. 26: 6663-6673.

Journal article
Published: 29 July 2020 in IEEE Transactions on Power Delivery
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To identify the fault area more accurately and improve the reliability and sensitivity of the traditional protection principle on DC lines, an active injection for single-ended protection in the DC grid is proposed. Considering the influence of fault impedance, the effect of frequency-dependent parameters, numerical differential error, and the strength of DC boundary, high controllability of hybrid modular multilevel converter is utilized to inject sinusoidal signals with different frequencies into the line at DC terminal of each converter. Then the single-ended fault identification equation is constructed to preliminarily identify the fault area. According to the amplitude difference of the injection signals in different fault areas, the fault areas of the DC grid can be further distinguished. Simulation results verify the effectiveness of the proposed protection principle, improved reliability and sensitivity of protection, and full length protection of line without DC boundary.

ACS Style

Guobing Song; Junjie Hou; Bing Guo; Kazmi Sayed Tassawar Hussain; Ting Wang; Bilal Masood. Active Injection for Single-Ended Protection in DC Grid Using Hybrid MMC. IEEE Transactions on Power Delivery 2020, 36, 1651 -1662.

AMA Style

Guobing Song, Junjie Hou, Bing Guo, Kazmi Sayed Tassawar Hussain, Ting Wang, Bilal Masood. Active Injection for Single-Ended Protection in DC Grid Using Hybrid MMC. IEEE Transactions on Power Delivery. 2020; 36 (3):1651-1662.

Chicago/Turabian Style

Guobing Song; Junjie Hou; Bing Guo; Kazmi Sayed Tassawar Hussain; Ting Wang; Bilal Masood. 2020. "Active Injection for Single-Ended Protection in DC Grid Using Hybrid MMC." IEEE Transactions on Power Delivery 36, no. 3: 1651-1662.

Journal article
Published: 18 July 2020 in International Journal of Electrical Power & Energy Systems
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The traditional fault location methods on DC lines are facing many challenges such as low reliability and unsatisfied location accuracy. To ensure a more reliable fault recovery of DC line, a single-ended fault location method based on active detection is proposed for hybrid modular multilevel converter based high voltage DC transmission systems. The high controllability of hybrid MMC is utilized to activate the control strategy of injecting a sinusoidal signal. Furthermore, based on parameter identification and compensation methods for the distributed parameter model, the fault location equation with fault impedance parameters is formulated. Finally, the fault location can be identified under different fault scenarios. Simulation results verify the effectiveness and accuracy of the proposed active detection method. The proposed method can pinpoint the fault location with a lower sampling rate, its accuracy is not influenced by increasing of the line length and variation of the fault impedance.

ACS Style

Guobing Song; Junjie Hou; Bing Guo; Ting Wang; Bilal Masood; Sayed Tassawar Hussain Kazmi. Single-ended active injection for fault location in hybrid MMC-HVDC systems. International Journal of Electrical Power & Energy Systems 2020, 124, 106344 .

AMA Style

Guobing Song, Junjie Hou, Bing Guo, Ting Wang, Bilal Masood, Sayed Tassawar Hussain Kazmi. Single-ended active injection for fault location in hybrid MMC-HVDC systems. International Journal of Electrical Power & Energy Systems. 2020; 124 ():106344.

Chicago/Turabian Style

Guobing Song; Junjie Hou; Bing Guo; Ting Wang; Bilal Masood; Sayed Tassawar Hussain Kazmi. 2020. "Single-ended active injection for fault location in hybrid MMC-HVDC systems." International Journal of Electrical Power & Energy Systems 124, no. : 106344.

Journal article
Published: 15 June 2020 in Energies
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This paper is focused on the channel modeling techniques for implementation of narrowband power line communication (NB-PLC) over medium voltage (MV) network for the purpose of advanced metering infrastructure (AMI). Three different types of models, based on deterministic method, statistical method, and network parameters based method are investigated in detail. Transmission line (TL) theory model is used to express the MV network as a two-port network to examine characteristics of sending and receiving NB-PLC signals. Multipath signal propagation model is used to incorporate the effect of multipath signals to determine the NB-PLC transfer function. A Simulink model is proposed which considers the values of MV network to examine the characteristics of NB-PLC signals. Frequency selectivity is also introduced in the impedances to compare variations and characteristics with constant impedances based MV network. A state-of-the-art mechanism for the modeling of capacitive coupling device, and impedances of low voltage (LV) and MV networks is developed. Moreover, a comparative analysis of TL theory and multipath signal propagation models with the proposed Simulink model is presented to validate the performance and accuracy of proposed model. This research work will pave the way to improve the efficiency of next-generation NB-PLC technologies.

ACS Style

Bilal Masood; M. Arif Khan; Sobia Baig; Song Guobing; Ateeq Ur Rehman; Saif Ur Rehman; Rao M. Asif; Muhammad Babar Rasheed; Guobing Song. Investigation of Deterministic, Statistical and Parametric NB-PLC Channel Modeling Techniques for Advanced Metering Infrastructure. Energies 2020, 13, 3098 .

AMA Style

Bilal Masood, M. Arif Khan, Sobia Baig, Song Guobing, Ateeq Ur Rehman, Saif Ur Rehman, Rao M. Asif, Muhammad Babar Rasheed, Guobing Song. Investigation of Deterministic, Statistical and Parametric NB-PLC Channel Modeling Techniques for Advanced Metering Infrastructure. Energies. 2020; 13 (12):3098.

Chicago/Turabian Style

Bilal Masood; M. Arif Khan; Sobia Baig; Song Guobing; Ateeq Ur Rehman; Saif Ur Rehman; Rao M. Asif; Muhammad Babar Rasheed; Guobing Song. 2020. "Investigation of Deterministic, Statistical and Parametric NB-PLC Channel Modeling Techniques for Advanced Metering Infrastructure." Energies 13, no. 12: 3098.

Journal article
Published: 02 January 2017 in Journal of Electrical Engineering & Technology
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Modeling and Characterization of Low Voltage Access Network for Narrowband Powerline Communications Advanced metering infrastructure;NB-PLC;Capacitive coupler; Nowadays, Power Line Communication (PLC) is gaining high attention from industry and electric supply companies for the services like demand response, demand side management and Advanced Metering Infrastructure (AMI). The reliable services to consumers using PLC can be provided by utilizing an efficient PLC channel for which sophisticated channel modeling is very important. This paper presents characterization of a Low Voltage (LV) access network for Narrowband Power Line Communications (NB-PLC) using transmission line (TL) theory and a Simulink model. The TL theory analysis not only includes the constant parameters but frequency selectivity is also introduced in these parameters such as resistance, conductance and impedances. However, the proposed Simulink channel model offers an analysis and characterization of capacitive coupler, network impedance and channel transfer function for NB-PLC. Analysis of analytical and simulated results shows a close agreement of the channel transfer function. In the absence of a standardized NBPLC channel model, this research work can prove significant in improving the efficiency and accuracy of NB-PLC communication transceivers for Smart Grid communications.

ACS Style

Bilal Masood; Arsalan Haider; Sobia Baig. Modeling and Characterization of Low Voltage Access Network for Narrowband Powerline Communications. Journal of Electrical Engineering & Technology 2017, 12, 443 -450.

AMA Style

Bilal Masood, Arsalan Haider, Sobia Baig. Modeling and Characterization of Low Voltage Access Network for Narrowband Powerline Communications. Journal of Electrical Engineering & Technology. 2017; 12 (1):443-450.

Chicago/Turabian Style

Bilal Masood; Arsalan Haider; Sobia Baig. 2017. "Modeling and Characterization of Low Voltage Access Network for Narrowband Powerline Communications." Journal of Electrical Engineering & Technology 12, no. 1: 443-450.

Article
Published: 18 August 2016 in Telecommunication Systems
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This paper presents the characteristic analysis of channel gain for two conductor type power line communication (PLC) system using analytical transient model. The analysis of frequency responses is presented by incorporating various lengths of transmission lines and loads at terminal side. It is suggested that variations in the frequency responses of PLC channel, especially under transient condition within the transmission line (TL) can be investigated more effectively by using the transient model. Performance of transient model is found to be significantly better than the previously available work in the literature. More accurate results are achieved in simulation as compared to results obtained from typical $$\\pi $$¿ model of lumped circuit.

ACS Style

Bilal Masood; Muhammad Usman; Fareed Ud Din; Arsalan Haider. Effect of transient and non-transient models on the performance of PLC. Telecommunication Systems 2016, 65, 55 -64.

AMA Style

Bilal Masood, Muhammad Usman, Fareed Ud Din, Arsalan Haider. Effect of transient and non-transient models on the performance of PLC. Telecommunication Systems. 2016; 65 (1):55-64.

Chicago/Turabian Style

Bilal Masood; Muhammad Usman; Fareed Ud Din; Arsalan Haider. 2016. "Effect of transient and non-transient models on the performance of PLC." Telecommunication Systems 65, no. 1: 55-64.