Search results for “MATLAB(matrix laboratory)”

Published Subscription Review Article 15 Jun 2024

Harnessing the Potential of Virtual Instrumentation

By Krishnapriya M, Farsana Muhammed

Abstract: The Virtual Instrument (VI) uses custom software and hardware to create a user-defined measurement system, called a Virtual Instrument. Virtual instruments are similar to traditional instruments, such as multimeters, oscilloscopes, spectrum analyzers, and data acquisition systems. It has great flexibility, high performance, flexibility and low cost. Primarily, it consists of a personal computer or workstation, and Vi software such as LabVIEW, NI DAQmx, and MATLAB. This modular hardware includes data …

Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 1, 2024 · pp. 1–15 Read article

Published Subscription Original Research 30 May 2024

Monitoring and Modeling of Atmospheric Change Indices In Parts of Imo State Using GIS, MATLAB and ANN

By UU Egereonu, J.C.Ike, C.K.Enebeaku, C.O.Akalezi, A.A.Bilar, M.C.Igbomezie, J.C.Egereonu, N.C.Okoro, M.O.Ezekoye, I.C.Obiagwu

Abstract: Geographic Information System (GIS) and Matrix Laboratory (MATLAB) Models were used to study air quality in parts of Imo State. Primary data were obtained by conducting relevant analysis using standard instrumental methods on open-air rainwater samples collected in the dry and the rainy seasons for two consecutive years. GIS showed that the pollutants were present throughout the year. Artificial Neural Network (ANN) of MATLAB 2015 was used to represent data …

Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 1, 2024 · pp. 25–74 Read article

Published Subscription Original Research 5 Sep 2024

Health Risk and Evaluation of Atmospheric Pollutants in Owerri Metropolis and Sub-Urban Areas of Imo State, Nigeria Using Chemometric Models

By U. U. Egereonu, J.C. Ike, C.K. Enenebeaku, A.U. Nkwoada, M.C. Igbomezie, M.O. Ezeokoye, I.C. Obiagwu, U.L. Onu, J.C. Egereonu, N.J. Okoro, C. Onwuka, S.K. Egereonu

Abstract: Concern about health risk from atmospheric pollutants; Particulate Matter (PM10), Sulphur dioxide (SO2), Nitrogen dioxide (NO2) and Carbon Monoxide (CO) prompted atmospheric monitoring and inhalation health risk assessment for residents of Owerri Metropolis and its Sub-urban areas. Field measurements were carried out in 35 select locations within Imo State. Monitoring was carried out using Chemometric methods as Matrix Laboratory (MATLAB) and Artificial Neural Network (ANN). According to the experiment results, …

Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 1, 2024 · pp. 47–79 Read article