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81 results for “energy distribution”
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Research ArticleOpen accessIn the abstractThe Impact of Carbon Tax on Agricultural Output, Employment, and Rural Income in Indonesia: Insights from an Energy Input-Output ModelSyahrituah Siregar, Luthfy Fatah, M. Handry Imansyah, SunardiThe agricultural sector in Indonesia is crucial for the national economy, contributing significantly to Gross Domestic Product (GDP) and sustaining the livelihoods of millions in rural areas. In light of increasing global environmental concerns, this study examines the potential impacts of a proposed carbon tax on agricultural production, employment, and rural household income in Indonesia. Utilizing the Miyazawa energy input-output … …OnLine Journal of Biological Sciences, Vol. 25, Issue 2 · 12 Jun 2025 · 3,398 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Spectrum Sensing and Allocation Model for Primary User Detection and Interference Mitigation in Television WhitespacesJoachim Notcker, Emmanuel Adetiba et al.Television White Space (TVWS) emerges as an encouraging solution to address the challenge of a restricted wireless communication spectrum. It denotes the frequency range spanning from 54-790 MHz and researchers have increasingly explored its propagation characteristics in recent years. Nonetheless, a notable hindrance to its effective utilization lies in the interference between primary and secondary users, as well as interference … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,234 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Non-Technical Electricity Loss Detection Using Artificial Neural Networks: Case of Cameroon Distribution NetworkLekini Nkodo Claude Bernard, Bell Serge Samuel, Nyemb Nsoga Valjacques et al.Non-Technical Losses (NTL) represent a critical challenge for power utilities, particularly in developing countries. This paper proposes an unsupervised deep learning approach based on an autoencoder to detect abnormal electricity consumption patterns in the Cameroonian distribution network. The model learns normal customer behavior using historical consumption data and identifies anomalies through reconstruction error analysis. Statistical thresholds are applied to classify … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 23 Jul 2026 · 1,233 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Review on Wake-up Radios Applied to Wireless Sensor NetworksMarco Aurélio Spohn, Caetano Mazzoni Ranieri, Agnelo Rocha da Silva, Jó UeyamaWireless Sensor Networks (WSNs) are the backbone of many monitoring applications, especially in the Internet of Things (IoT) context. However, efficient power management becomes a critical challenge when sensor nodes rely on disposable batteries. The deployment of WSNs must ensure coverage and connectivity, but the resulting distribution of nodes and underlying protocols directly impact the network’s lifetime. The concept of … …Journal of Computer Science, Vol. 21, Issue 3 · 4 Feb 2025 · 6,212 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effect of Trilobatin on Bovine Serum Albumin: Interaction Mechanism and Molecular DockingYuhan Zhai, Yuqing Zhang, Yaping Li et al.Understanding the transport and distribution of small molecules in vivo is aided by studying their interactions with proteins. As a natural sweetener, trilobatin possesses several biological activities. However, uncertainty surrounds the trilobatin and Bovine Serum Albumin (BSA) interaction mechanism. In this study, the binding types, number of binding sites and binding constants of trilobatin interaction with BSA were studied by … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 1 · 29 Mar 2024 · 4,846 accessesView PDFCite
Special issueAir-earth currentsAmerican Journal of Engineering and Applied Sciences · 1 Apr 2021
Research ArticleOpen accessIn the abstractMultiple Linear Regression to Predict Electrical Energy Consumption Based on Meteorological Data: Application to Some Sites Supplied by the CEB in TogoApaloo Bara Komla Kpomonè et al.The prediction model developed in this article is based on the use of meteorological variables to estimate the consumption of electrical energy at the substations of the Electric Community of Benin. The objective is to predict this consumption in order to adapt production to it. The posts (Lomé Aflao, Légbasito, and Lomé port) are the targets that were used in … …American Journal of Applied Sciences, Vol. 21, Issue 1 · 10 Jun 2024 · 5,790 accessesView PDFCite
Research ArticleOpen accessIn the abstractProgressive Damage Modelling of Transverse Impact Behavior of Adhesively Bonded Composite JointsDimitrios Athinaios, Konstantinos Tserpes, Giannis FlorosA three-dimensional dynamic numerical model was developed, using the commercially available finite element software LS-DYNA to simulate the Low Velocity Impact (LVI) case on bonded joints consisting of woven CFRP adherents. The adhesive failure simulated using the Cohesive Zone Method (CZM), while the failures in the composite material simulated using a progressive damage material model based on Hashin’s failure criteria. … …International Journal of Structural Glass and Advanced Materials Research, Vol. 4, Issue 1 · 3 Apr 2020 · 6,428 accessesView PDFCite
Research ArticleOpen accessIn the abstractECG Energy Change Study Based on Variational Mode DecompositionKai Dong, Lin Sun, Hongjun Xiong, Wenbo WangVariational Mode Decomposition (VMD) decomposes the signal into a series of Intrinsic Mode Type Functions (IMTFs) according with variational model and fluctuating characteristics of the signal itself, thus very suitable for the analysis of nonlinear and non-stationary Electrocardiogram (ECG) signal. Energy of ECG signal has certain distribution rules, but which could be affected by diseases; therefore, the study of ECG … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 1 · 12 Mar 2020 · 7,403 accessesView PDFCite
Research ArticleOpen accessIn the abstractVirtual Screening of Bioactive Compounds from the Onion (Allium) Genus as Potential Epidermal Growth Factor Receptor Inhibitors for MonkeypoxDinda Ratu Agustiani, Rakhmat Ramdhani Alwie, Harry NoviardiMonkeypox (Mpox) is an emerging zoonotic disease caused by the Mpox virus infection that affects humans and animals. Epidermal Growth Factor Receptor (EGFR) is an important target in the pathogenesis of Mpox. Epidermal Growth Factor (EGF), encoded by orthopoxviruses, plays an important role in intercellular transmission of the virus. Onion is known to have antiviral and immunomodulatory properties. Active compounds … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 6 Aug 2026 · 955 accessesView PDFCite