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A Genetic Algorithm approach for optimization of geothermal power plant production: Case studies of direct steam cycle in Kamojang

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South African Journal of Chemical engineering 2023年 45卷 1-9页

作者： Rudiyanto, Bayu Birri, Mochammad Syahrul Widjonarko Avian, Cries Kamal, Dianta Mustofa Hijriawan, Miftah Energy Engineering Laboratory Department of Renewable Energy Engineering Politeknik Negeri Jember Jl. Mastrip No.164 Krajan Timur Jember 68121 Indonesia Graduate School of Department of Renewable Energy Engineering Politeknik Negeri Jember Jl. Mastrip No.164 Krajan Timur Jember 68121 Indonesia Department of Electrical Engineering Universitas Jember Jl. Kalimantan 37 Tegalboto Jember 68121 Indonesia Departement of Electronic and Computer Engineering National Taiwan University of Science and Technology No.43 Keelung Rd. Sec.4 Da'an Dist. Taipei City 106335 Taiwan Department of Mechanical Engineering Politeknik Negeri Jakarta Jl. Prof. Dr. G. A. Siwabessy Depok 16425 Indonesia Graduate Program of Mechanical Engineering Universitas Sebelas Maret Jl. Ir. Sutami 36 Surakarta 57126 Indonesia

Indonesia has enormous geothermal potential, but it only contributes 5% to Indonesia's energy matrix. During 37 years of operation, PT. Pertamina Geothermal Energy Kamojang area has been operating to produce electricity and is currently capable of supplying and distributing electricity to the Java-Bali area with a capacity of 60 MWe. However, this can run into a decrease in the efficiency and effectiveness of system performance due to energy losses in several geothermal power plant components during energy conversion. In this case, exergy analysis at PT. Pertamina Geothermal Energy Kamojang area Unit 4 direct-dry steam cycle was done on each component and state. This aims to know the energy and exergy stream and where it happened irreversibly at the component. The biggest irreversibility value occurred at the turbine and main condenser, with a value of 21,693.890 kW and 21,688.148 kW. The total irreversibility of all systems is 58,326.201 kW, while the total exergy inlet systems is 119,308.457 kW, so the value efficiency exergy obtained is 51.13%. Based on the environment as dead state analysis, an efficiency exergy value is inversely proportional to the irreversibility value and ascending environment temperature. System optimization was done with the genetic algorithm method, with variable values at the pressure wellhead and inlet turbine for the overall exergy efficiency value. The value obtained from optimization is 11.98 bar at the wellhead and 10.023 bar at the inlet turbine, and the overall efficiency exergy increased by 51.22%. © 2023 The Author(s)

关键词： Dry steam cycle Exergy Genetic Algorithm Geothermal power plant Optimization

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The association between urinary tract infections and diet: a literature review

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Discover Medicine 2025年第1期2卷 1-17页

作者： Çelik, Haluk Kozan, Esra Caf, Balım Bengisu Çebi, Gizem Koç, Murat Vivosens Inc. San Francisco USA Program of Stem Cell and Tissue Engineering Institute of Graduate Education Istinye University Istanbul Türkiye Department of Health Informatics University of Health Science Hamidiye Institute of Health Sciences Istanbul Türkiye

Urinary tract infections (UTIs) are a significant global health concern, affecting millions worldwide, with particular prevalence among specific vulnerable populations. Women of sexually active age, post-menopausal women, pregnant women, individuals with diabetes, catheterized patients, childs and older indivisuals face heightened risk due to various physiological, hormonal, and anatomical factors. While anatomical abnormalities and behavioral factors contribute to UTI susceptibility, the growing challenge of antibiotic resistance has necessitated exploration of alternative treatment approaches. Non-antibiotic interventions, including probiotics, cranberry products, and natural remedies, are gaining attention for their potential role in UTI prevention and management. Recent studies suggest the efficacy of probiotics and plant extracts in promoting urinary tract health and preventing bacterial colonization. Additionally, research highlights the importance of dietary factors, such as vitamin D and probiotic intake, in reducing UTI susceptibility. This review examines the emerging shift toward non-drug strategies, offering a more comprehensive approach to UTI management while addressing the pressing concern of antibiotic resistance.

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The Impact of Different Modes of Augmented Reality Information in Assisted Aircraft Cable Assembly 1

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International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2022

作者： Ariansyah, Dedy Xi, Khaizuo Erkoyuncu, John Ahmet Pardamean, Bens Bioinformatics and Data Science Research Centre Bina Nusantara University Jakarta11480 Indonesia School of Aerospace Transport and Manufacturing Cranfield University BedfordMK43 0AL United Kingdom Centre of Digital Engineering and Manufacturing School of Aerospace Transport and Manufacturing Cranfield University BedfordMK43 0AL United Kingdom Computer Science Department BINUS Graduate Program Master of Computer Science Program Bina Nusantara University Jakarta11480 Indonesia

ISBN: (数字)9783031290787

ISBN: (纸本)9783031290770

Aircraft avionics systems are complicated systems which involves high number of components and complex cable assembly procedure. To deal with this challenge, Augmented Reality (AR) has been proposed to be an effective method to improve assembly efficiency and to reduce error rates. In this paper, the authors developed AR-based guidance cable assembly and compare the impact of different modes of AR information. The results show that although AR outperformed the paper document assembly guidance, the design of AR information has distinct influence on the successful completion of the cables assembly process. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Augmented reality

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A Multi-phase Deep Learning Approach for Predicting HCC Response to TACE using Complete Computed Tomography

A Multi-phase Deep Learning Approach for Predicting HCC Resp...

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Data science and engineering in Healthcare, Medicine and Biology, IEEE EMBS Special Topic Conference on

作者： Shun Cheng Chang Chien Fu Liu Marta Misztal Yi Hsien Hsieh Che Lin Graduate Institute of Communication Engineering National Taiwan University (NTU) Taiwan School of Electronic Engineering and Computer Science Queen Mary University of London UK Department of Electrical Engineering NTU Taiwan Center for Computational and Systems Biology and Center for Biotechnology NTU Taiwan Smart Medicine and Health Informatics Program NTU Taiwan

In this research study, we compare the predictive performance of two advanced deep learning-based models in order to provide a solution to TACE (Transarterial Chemoembolization) response prediction in HCC (Hepatocellular Carcinoma) patients. Using entire abdominal CT scans enabled a broader perspective available for the model, eliminating the need for segmentation during the preprocessing. Making use of both single-phase and multi-phase CT imaging, we have used DenseNet121 and have obtained an accuracy of 80% for the multi-phase *** Relevance: The ability to predict the effectiveness of TACE treatment prior to its administration makes it possible to provide a better decision-making aid for physicians and patients.

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Exploring Interface Effects in Flatland Optics 17

Exploring Interface Effects in Flatland Optics

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17th International Congress on Artificial Materials for Novel Wave Phenomena, Metamaterials 2023

作者： Moccia, M. Castaldi, G. Alu, A. Galdi, V. University of Sannio Department of Engineering BeneventoI-82100 Italy City University of New York Advanced Science Research Center Photonics Initiative New YorkNY10031 United States City University of New York Graduate Center Physics Program New YorkNY10016 United States

ISBN: (纸本)9798350332445

This study explores the possibilities of manipulating and controlling the propagation of surface waves in low-dimensional materials or metasurfaces by designing planar discontinuities in the surface impedance. Specifically, two examples are presented, namely 'flat leaky waves' and 'ghost line waves.' These innovative concepts have the potential to offer new avenues for controlling light at the nanoscale and could find practical applications in various fields ranging from integrated waveguides to optical sensing. © 2023 IEEE.

关键词： Surface waves

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Emerging Interface Effects in Flat Optics

Emerging Interface Effects in Flat Optics

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2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio science Meeting, AP-S/URSI 2023

作者： Moccia, Massimo Castaldi, Giuseppe Alù, Andrea Galdi, Vincenzo University of Sannio Department of Engineering BeneventoI-82100 Italy City University of New York Advanced Science Research Center Photonics Initiative New YorkNY10031 United States City University of New York Graduate Center Physics Program New YorkNY10016 United States

ISBN: (纸本)9781665442282

In this paper, we discuss how the manipulation and control of surface-wave propagation can be achieved in natural low-dimensional materials or metasurfaces through the engineering of planar discontinuities in the surface impedance. We present two specific examples, 'ghost line waves' and 'flat leaky waves', that offer new possibilities for controlling light at the nanoscale and may have potential applications in areas such as integrated waveguides, nonlinear optics, optical sensing, and sub-diffraction imaging. © 2023 IEEE.

关键词： Nonlinear optics

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The Dependence in Microcystin Removal with Powdered Activated Carbon on Variant Properties, Carbon Properties, and Dissolved Organic Matter

SSRN

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SSRN 2023年

作者： Huang, Yuzhou Lenhart, John J. Environmental Science Graduate Program The Ohio State University United States Department of Civil Environmental and Geodetic Engineering The Ohio State University United States

Microcystins (MCs) are a class of harmful cyanotoxins produced during harmful algal blooms (HABs), and their presence demands mitigation strategies. Powdered activated carbon (PAC) adsorption is an effective treatment method for MC removal, but its efficacy is influenced by several factors. For example, MC removal varies depending upon the properties of the PAC and MC variant. Dissolved organic matter (DOM) is also known to impact MC removal by PAC. To enhance the removal of MC by PAC, it is not only necessary to investigate the individual impact of these factors but also to consider them in an integrated manner as the importance of each of these factors compared to one another is not clear. Thus, in this study we evaluated the relative importance of PAC properties, MC variant properties, and the presence of DOM on MC removal. Kinetic adsorption experiments were conducted over a period of 72 hours with four MC variants (MC-LR, MC-LA, MC-RR and desmethylated MC-RR) and three PAC types (wood-based, coal-blend and coal-based) that had different properties. The role of DOM was investigated using two different DOM sources (microbial DOM and terrestrial DOM). The results demonstrated wood-based PAC, which had the highest surface area and mesopore volume of the PAC tested, had the highest adsorption rate and capacity for all four MC variants. Of the variants studied, neutrally charged MC-RR was adsorbed more rapidly and to a greater extent on all of the PAC types than were the other variants. As expected, DOM inhibited microcystin adsorption to PAC. The degree of inhibition, however, did not significantly vary for the two DOM types evaluated and the magnitude of inhibition decreased as the DOM concentration increased. Overall, the PAC properties were a more important factor in MC removal than were the MC properties or DOM conditions. © 2023, The Authors. All rights reserved.

关键词： Adsorption

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Learning operators with coupled attention

The Journal of Machine Learning Research

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The Journal of Machine Learning Research 2022年第1期23卷 9636-9698页

作者： Georgios Kissas Jacob H. Seidman Leonardo Ferreira Guilhoto Victor M. Preciado George J. Pappas Paris Perdikaris Department of Mechanical Engineering and Applied Mechanics University of Pennsylvania Philadelphia PA Graduate Group in Applied Mathematics and Computational Science University of Pennsylvania Philadelphia PA Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia PA

Supervised operator learning is an emerging machine learning paradigm with applications to modeling the evolution of spatio-temporal dynamical systems and approximating general black-box relationships between functional data. We propose a novel operator learning method, LOCA (Learning Operators with Coupled Attention), motivated from the recent success of the attention mechanism. In our architecture, the input functions are mapped to a finite set of features which are then averaged with attention weights that depend on the output query locations. By coupling these attention weights together with an integral transform, LOCA is able to explicitly learn correlations in the target output functions, enabling us to approximate nonlinear operators even when the number of output function measurements in the training set is very small. Our formulation is accompanied by rigorous approximation theoretic guarantees on the universal expressiveness of the proposed model. Empirically, we evaluate the performance of LOCA on several operator learning scenarios involving systems governed by ordinary and partial differential equations, as well as a black-box climate prediction problem. Through these scenarios we demonstrate state of the art accuracy, robustness with respect to noisy input data, and a consistently small spread of errors over testing data sets, even for out-of-distribution prediction tasks.

关键词： deep learning reproducing kernel Hilbert spaces wavelet scattering networks functional data analysis universal approximation

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Nucleon scalar and tensor couplings from lattice QCD at the physical points 15

Nucleon scalar and tensor couplings from lattice QCD at the ...

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15th Conference on Quark Confinement and the Hadron Spectrum, Confinement 2022

作者： Tsuji, Ryutaro Aoki, Yasumichi Ishikawa, Ken-Ichi Kuramashi, Yoshinobu Sasaki, Shoichi Shintani, Eigo Yamazaki, Takeshi Department of Physics Tohoku University Sendai980-8578 Japan RIKEN Center for Computational Science Kobe650-0047 Japan Core of Research for the Energetic Universe Graduate School of Advanced Science and Engineering Hiroshima University Higashi-Hiroshima739-8526 Japan Center for Computational Sciences University of Tsukuba Tsukuba305-8577 Japan Faculty of pure and Applied Sciences University of Tsukuba Tsukuba305-8571 Japan

We present results for the axial, scalar and tensor isovector-couplings (gA, gS and gT) of the nucleon obtained from 2+1 flavor QCD with the physical light quark masses (Mπ = 135 MeV). Our calculations are performed at a single lattice spacing of 0.085 fm, but with two large volumes of (10.9 fm)4 and (5.5 fm)4. The configurations are generated by the PACS Collaboration with nonperturbatively O(a) improved Wilson quark action and Iwasaki gauge action. The result of gA is a good indicator for determination of gS and gT with respect to accuracy and precision. Our result of gA well reproduces the experimental value within a statistical error of less than 2%. As for gS and gT, we compute the renormalization constants at the scale of 2 GeV in the MS scheme through the RI/SMOM(γµ) intermediate scheme, and then obtain gS = 0.927(83)stat(22)syst and gT = 1.036(6)stat(20)syst © The Authors, published by EDP sciences.

关键词： Tensors

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Novel photocatalytic coating for corrosion mitigation in 304LSS of dry storage canisters

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Frontiers in Materials 2023年 10卷

作者： Sathasivam, Kamalasekaran Wang, Mei-Ya Anbalagan, Aswin kumar Lee, Chih-Hao Yeh, Tsung-Kuang Nanoscience and Technology Program Taiwan International Graduate Program Academia Sinica Taipei Taiwan Department of Engineering and System Science National Tsing Hua University Hsinchu Taiwan Nuclear Science and Technology Development Center National Tsing Hua University Hsinchu Taiwan Institute of Nuclear Engineering and Science National Tsing Hua University Hsinchu Taiwan

Type 304L stainless steel (304LSS) is one of the candidate canister materials for storing radioactive spent fuels, usually near seashore environments along with nuclear power plants. During the prolonged exposure of dry storage canisters to saline environments, they are highly susceptible to chloride induced stress corrosion cracking. Failure of a dry storage canister not only would release radioactive isotopes into the environment, but would also lead to a costly replacement of the cracked canister. The objective of this study is to develop a multilayered titanium dioxide (TiO2) composite coating on a 304LSS substrate. With ultraviolet (UV) illumination, this coating would act as a barrier and simultaneously offer cathodic protection against corrosion in the substrate alloy. The composite coating consists of a plain amorphous TiO2 coating over another cerium-doped (Ce-doped) TiO2 coating. Electronic currents generated by photo-catalytic reaction of the amorphous TiO2 coating under UV illumination were measured. Photo-electrochemical analyses and surface morphology observations were conducted to evaluate the performance of the Ce-doped coatings on corrosion mitigation. Optimal amounts of cerium doping that offered better photo-cathodic protection were also explored. Results indicated that the Ce-doped TiO2 coating exhibited a better performance on photo-cathodic protection for 304L stainless steel in aerated 3.5% NaCl solutions than the one without cerium doping. The underlying Ce-doped TiO2 coating was effectively charged during UV illumination, and it was able to continuously release electrons even after the UV was switched off, thus providing uninterrupted photo-cathodic protection for the coated 304L stainless steel substrate. Copyright © 2023 Sathasivam, Wang, Anbalagan, Lee and Yeh.

关键词： Titanium dioxide

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