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All Journal Journal of Applied Materials and Technology
Sani Saminu
State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology Tianjin 300130, China
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Engineering Mechanical Engineering

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Journal : journal of applied materials and technology

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A Review on Optimal Siting and Sizing of DSTATCOM Dansarki Nanly Wesley; Abubakar Abdulkarim; P.U. Okorie; Adamu Halilu Jabire; Sani Saminu; Nasir Faruk; I.S. Madugu; A. U. Lawan; Iswadi Hasyim Rosma
Journal of Applied Materials and Technology Vol. 3 No. 1 (2021): September 2021
Publisher : AMTS and Faculty of Engineering - Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/Jamt.3.1.30-42

Abstract

The continuous demand for electrical energy by industries and domestic users have stressed the electricity consumption to a high level. Because most components of domestic and industrial systems are made of power electronics devices in their designs. In addition, modern electrical power distribution networks (DNs) are subjected to major disturbances. Consequently, today’s power system is laden with power quality problems such as excessive energy losses, voltage deviations, poor power factor (PF), voltage instability and reliability issues to mentioned just a few. To forestall these disturbances, Distribution Engineers have introduced the use of Custom Power Devices (CPDs) in order to reduce power losses so as improve power quality. Amongst CPDs, Distribution Static Compensator (D-STATCOM) proves most promising in minimizing power quality issues because it generates minimal harmonics, waste less power, has small size, high regulatory capability and cost effective. Researchers in recent years have focused on methodologies required for identifying the most suitable location and rating of D- STATCOM device based on divergent views. However, to date, only one author has so far reviewed a paper on this aspect of study. This paper discusses the latest study on appropriate installation and rating of D-STATCOM techniques for balanced and unbalanced radial distribution networks (UBRDNs). The paper has also provided a comprehensive literature study on the location of DSTATCOM in RDNs for power loss reduction and power quality enhancement. Comparative analyses of various techniques for development of DSTATCOM Objective functions and constraints; Merits and Demerits are presented.
Electroencephalogram (EEG) Based Imagined Speech Decoding and Recognition Sani Saminu; Guizhi Xu; Zhang Shuai; Abd El Kader Isselmou; Adamu Halilu Jabire; Ibrahim Abdullahi Karaye; Isah Salim Ahmad; Abubakar Abdulkarim
Journal of Applied Materials and Technology Vol. 2 No. 2 (2021): March 2021
Publisher : AMTS and Faculty of Engineering - Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/Jamt.2.2.74-84

Abstract

The recent investigations and advances in imagined speech decoding and recognition has tremendously improved the decoding of speech directly from brain activity with the help of several neuroimaging techniques that assist us in exploring the neurological processes of imagined speech. This development leads to assist people with disabilities to benefit from neuroprosthetic devices that improve the life of those suffering from neurological disorders. This paper presents the summary of recent progress in decoding imagined speech using Electroenceplography (EEG) signal, as this neuroimaging method enable us to monitor brain activity with high temporal resolution, it is very portable, low cost, and safer as compared to other methods. Therefore, it is a good candidate in investigating an imagined speech decoding from the human cortex which remains a challenging task. The paper also reviews some recent techniques, challenges, future recommendations and possible solutions to improve prosthetic devices and the development of brain computer interface system (BCI).
Co-Authors A. U. Lawan Abd El Kader Isselmou Abubakar Abdulkarim Adamu Halilu Jabire Dansarki Nanly Wesley Guizhi Xu I.S. Madugu Ibrahim Abdullahi Karaye Isah Salim Ahmad Nasir Faruk P.U. Okorie Rosma, Iswadi Hasyim Zhang Shuai