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100 results for “power plant”

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Research ArticleOpen accessIn the keywordsMethod of Efficiency Improvement in District Heating SystemsAndrey Gennadiievich Batuhtin, Maxim Stanislavovich Bass, Sergey Anatoljevich Ivanov et al.The article determines application potential of solar energy in conditions of sharply continental climate. It presents an energy-efficient solar energy recovery scheme in district heating systems, allowing to reduce capital costs and maintenance charges and to increase degree of substitution of conventional sources of heat. Versatility of systems using this method results in its multi-zone application: From a cottage-type house … …American Journal of Applied Sciences, Vol. 13, Issue 2 · 1 Feb 2016 · 7,521 accessesView PDFCite
Research ArticleOpen accessIn the abstractManipulating Light Duration and Intensity Using LEDs to Enhance Off-Season Yield of Hylocereus polyrhizus in a Tropical Area of Banyuwangi, East Java, IndonesiaKanthi Pangestuning Prapti, Setyono Yudo Tyasmoro et al.This study aimed to examine the effect of light duration and Light Emitting Diode (LED) power on the production of red dragon fruit during the off-season. The experiment was conducted in Bulurejo, Banyuwangi, East Java, Indonesia, from March to June 2024 using a split-plot design. The main plot consisted of LED illumination duration (2, 4, and 6 hours), while the … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 3 Aug 2026 · 962 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Construction of a Smart Meter with Embedded Web PortalDavid Mike-Ewewie, Ayodele Ifijeh, Victoria Oguntosin et al.The absence of the necessary infrastructure to make an accurate and precise collection of data when compared to the first-world countries in the power industry is great. Due to that, the need for the deployment of smart meters has increased in order to offer consumers and customers awareness of their electricity usage, helping them lower their total energy footprint. In … …Journal of Computer Science, Vol. 20, Issue 8 · 14 Jun 2024 · 5,275 accessesView PDFCite
Research ArticleOpen accessIn the abstractCrop Disease Detection Using Deep Learning Techniques on ImagesKinjal Vijaybhai Deputy, Kalpdrum Passi, Chakresh Kumar JainAgriculture plays a crucial role in the economic development of many countries and sustains the global population despite facing various challenges like climate change, pollinator decline, and plant diseases. These threats to food security highlight the need for innovative solutions to prevent crop loss. Leveraging smartphone technology for automated image recognition-based disease diagnosis has emerged as a promising approach, thanks … …Journal of Computer Science, Vol. 19, Issue 12 · 25 Oct 2023 · 7,497 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeasibility of Hybrid Neuro-Fuzzy (ANFIS) Machine Learning Model with Classical Multi-Linear Regression (MLR) For the Simulation of Solar Radiation: A Case Study Abuja, NigeriaNajashi B. Gafai, Asia'u Talatu BelgoreThe extremely variable nature of solar radiation makes it difficult for solar power plants to keep up with predicted power output and demand curves. As a result, solar radiation simulation is crucial to the efficient design, administration, and operation of any solar power plant. With only partially satisfactory results, empirical models have been routinely employed in Nigeria to predict solar … …Energy Research Journal, Vol. 13, Issue 1 · 21 Jul 2022 · 10,032 accessesView PDFCite
Research ArticleOpen accessIn the abstractAntioxidant, Analgesic and Anti-inflammatory Effects of Ethanolic Extract of Moroccan Lavandula stoechas L.Hind Ferehan, Mehdi Ait Laaradia, Sara Oufquir et al.Lavandula stoechas L. is a widely used medicinal plant. In Moroccan traditional medicine, it is employed for the treatment of different illness and as an anxiolytic, analgesic or anti-inflammatory remedy. The purpose of this investigation was to assess the antioxidant, antinociceptive and anti-inflammatory effects of the ethanolic extract of Moroccan Lavandula stoechas L. in animal models. Therefore, in vitro anti-oxidant … …OnLine Journal of Biological Sciences, Vol. 21, Issue 4 · 15 Feb 2022 · 5,889 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling and Performance Analysis of a Petroleum-Pipeline-Pressure-Boosting Station Powered by Two-Shaft GT EngineYousef S. H. Najjar, Mohammad Z. M. Yousef, Aad M. A. Al-MahgariThis study offers modeling and performance analysis of a pressure-boosting station for petroleum pipelines using a sustainable two-shaft GT engine to drive a three-stage centrifugal pump. The modeling is divided into three steps; matching the GT engine components at the maximum efficiency line, matching the pump performance with the requirements of the pipeline system to generate the pump load curve, … …Energy Research Journal, Vol. 12, Issue 1 · 18 Jan 2022 · 10,510 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentification of the Presence of the "Swollen Shoot" Disease in Endemic Areas in Côte d'Ivoire Via Convolutional Neural NetworksCoulibaly Mamadou, Silue Kolo, Konan Hyacinthe Kouassi et al.The detection of Swollen Shoot disease and its control is one of the major objectives of research related to sustainable cocoa farming in Côte d'Ivoire. To contain the epidemic, the Cocoa Coffee Council (CCC) in collaboration with the National Agency for Support to Rural Development (ANADER) is responsible for prospecting and delimiting the infected areas as well as for uprooting … …American Journal of Engineering and Applied Sciences, Vol. 16, Issue 3 · 1 Oct 2023 · 6,064 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of Plant Leaf Diseases Using K‒mean++ Intermeans Thresholding AlgorithmKittipol Wisaeng, Worawat Sa–NgiamviboolIn the field of agricultural information, the plant leaf disease detection is highly important for both farmer life and environment. To improve the accuracy of plant leaf disease detection and reduce the image processing time, the improved K‒mean++ clustering and intermeans thresholding method are proposed in this study. The proposed algorithms are used for training and testing diseases in plant … …Journal of Computer Science, Vol. 16, Issue 9 · 21 Sep 2020 · 6,750 accessesView PDFCite
Research ArticleOpen accessIn the abstractStudy of Ageratum conyzoides L. (Asteraceae) Phytochemical Composition as Quorum-sensing Inhibitors to Combat Antibiotic-resistant Bacterial InfectionsEli Compaoré, Lassané Ouedraogo, Ablassé Rouamba et al.The rise of antibiotic-resistant bacterial infections has intensified the search for plant-derived quorum-sensing (QS) inhibitors as alternative therapeutic strategies. Ageratum conyzoides L. has a long history of traditional use as an antimicrobial agent against multidrug-resistant pathogens, yet the phytochemical basis of its QS-inhibitory activity remains incompletely characterized. This study aimed to investigate the phytochemical composition of A. conyzoides and evaluate … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 3 Apr 2026 · 1,772 accessesView PDFCite