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Thermal performance optimization of microchannel heat sinks with triangle wave fin designs and various heat transfer fluids using GA/RSM/TOPSIS

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Case Studies in Thermal engineering 2025年 72卷

作者： Amr S. Abouzied Ali Basem Talib K. Ibrahim Ahmad Almadhor Khalid Almutairi Hind Albalawi Salem Alkhalaf Dilsora Abduvalieva Ibrahim Elbadawy Samah G. Babiker Department of Pharmaceutical Chemistry College of Pharmacy University of Hail Hail 81442 Saudi Arabia Faculty of Engineering Warith Al-Anbiyaa University Karbala 56001 Iraq Department of Petroleum Engineering College of Engineering Knowledge University Erbil 44001 Iraq Department of Petroleum Engineering Al-Kitab University Altun Kupri Iraq Department of Computer Engineering and Networks College of Computer and Information Sciences Jouf University Saudi Arabia Applied College Mechanical Engineering Technology University of Hafr Al Batin Hafr Al Batin Saudi Arabia Department of Physics College of Sciences Princess Nourah bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Saudi Arabia Department of Computer Engineering College of Computer Qassim University Buraydah Saudi Arabia Department of Mathematics and Information Technologies Tashkent State Pedagogical University Bunyodkor avenue 27 Tashkent 100070 Uzbekistan College of Engineering and Technology American University of the Middle East Kuwait Department of Electronic Physics Faculty of Applied Science Red Sea University Port Sudan Sudan

Microchannel heat sinks (MHSs) stand out as a promising solution for dissipating heat in high-performance systems. The development and optimization of these systems are vital to meeting the growing demands of modern, power-dense electronics. The present study introduces a novel approach to enhance heat dissipation in microchannel systems. The design incorporates two sets of fins with a distinctive triangle wave pattern within the microchannels. The acquired results for the introduced fins were compared with the data of a non-finned MHS and a device with straight fins. The maximum temperature of the non-finned MHS was 307.222 K, while the incorporation of the mentioned fins reduced the temperature by approximately 2 K. This reduction is significant, as lower maximum temperatures improve the reliability and longevity of electronic components. Response surface methodology (RSM) was utilized to develop predictive models, reducing reliance on complex simulations and costly prototypes. The effects of fin folding angle ( θ ) and spacing from side walls ( S ) on thermo-hydraulic performance were systematically analyzed. Optimization was achieved by integrating genetic algorithms with the predictive models. Three distinct optimization targets (maximizing the Nusselt number, minimizing the pressure drop, and maximizing the device's overall efficiency) were considered, and three optimum designs were proposed for each target. Additionally, Pareto front analysis and TOPSIS evaluation provided a comprehensive multi-objective assessment. In RSM-based anticipation models, the R 2 values were 0.971 for the Nusselt number and 0.977 for pressure drop. The remarkable R 2 values indicated that the models for both responses had a high level of accuracy. Based on the results, heat sink design 3 (HSD3) with geometric parameters of θ = 97.785° and S = 70 μm was recommended for enhancing the overall performance of the MHS. By utilizing just two triangle wave fins configured according to th

关键词： TOPSIS and Pareto fronts Optimization Response surface methodology Microchannel heat sink design Triangle wave fins Genetic Algorithm

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Are ring oscillators without a combinatorial loop good enough for Hardware Trojan detection?

Are ring oscillators without a combinatorial loop good enoug...

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Euromicro Symposium on Digital System Design

作者： Lampros Pyrgas Aliki Panagiotarou Paris Kitsos Industrial Systems Institute of “Athena” RIC in ICT and Knowledge Technologies Patras Greece Electrical and Computer Engineering Department University of the Peloponnese Greece Department of Management Science and Technology University of Patras Greece

ISBN: (数字)9781728195353

ISBN: (纸本)9781728195360

Hardware Trojan detection is a very serious issue for Integrated Circuit design and fabrication especially for those used in critical applications. The main target of this malicious hardware is to access and exploit the information stored and/or processed on an IC. Therefore, countermeasures must be designed for protection against HTs. In this direction many runtime and test-time monitoring approaches have been proposed. In run-time techniques, special monitoring sensors are used in order to detect local variations of the design characteristics, due to the presence of a HT. Most sensors are based on the classical ring oscillators that change their oscillation frequency when a HT is present. Recently two new types of oscillators without a combinatorial loop have been proposed, both different from the classical ring oscillators. In this paper a study and a statistical approach about the efficient use of the new oscillators as the main part of a HT detection technique, instead of the classical ring oscillator, are presented.

关键词： Sensors Ring oscillators Hardware Logic gates Latches Flip-flops

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Improving answer selection with analogy-preserving sentence embeddings

Improving answer selection with analogy-preserving sentence ...

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2019 Conference on "Learning, knowledge, Data, Analytics", LWDA 2019

作者： Diallo, Aïssatou Zopf, Markus Fürnkranz, Johannes Research Training Group AIPHES Department of Computer Science Technische Universität Darmstadt Hochschulstraße 10 Darmstadt64289 Germany Knowledge Engineering Group Department of Computer Science Technische Universität Darmstadt Hochschulstraße 10 Darmstadt64289 Germany

Answer selection aims at identifying the correct answer for a given question from a set of potentially correct answers. Contrary to previous works, which typically focus on the semantic similarity between a question and its answer, our hypothesis is that question-answer pairs are often in analogical relation to each other. We propose a framework for learning dedicated sentence embeddings that preserve analogical properties in the semantic space. We evaluate the proposed method on benchmark datasets for answer selection and demonstrate that our sentence embeddings are competitive with similarity-based techniques. Copyright © 2019 for this paper by its authors.

关键词： Semantics

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System of analytical questions and reports on mining in health data - A case study

System of analytical questions and reports on mining in heal...

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2007 IADIS European Conference on Data Mining, DM 2007, part of the 1st IADIS Multi Conference on computer science and Information Systems, MCCSIS 2007

作者： Rauch, Jan Tomecková, Marie Department of Information and Knowledge Engineering University of Economics Prague nám. W. Churchilla 4 Prague130 67 Czech Republic Centre of Biomedical Informatics Institute of Computer Science Academy of Sciences CR v.v.i. Pod Vodárenskou veží 2 Prague182 07 Czech Republic

ISBN: (纸本)9789728924409

Paper describes data mining in medical data concerning cardiology patients. A system of analytical questions based on formalized background knowledge is outlined. Solution of one analytical question using GUHA method and LISp-Miner system is described. Relevant analytical reports are discussed. Experience with employment of teams of students to produce analytical reports is mentioned. © 2007 IADIS

关键词： Miners

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Effects of the Cattaneo–Christov flux model on thermally radiative flow of tetra hybrid nanofluid with surface tension gradient

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Case Studies in Thermal engineering 2025年 72卷

作者： Mostafa Mohamed Okasha Munawar Abbas Faiza Benabdallah Talib K. Ibrahim Tatyana Orlova Ali Akgül Murad Khan Hassani Abdullah A. Faqihi Hakim AL. Garalleh Ahmed M. Galal Department of Mechanical Engineering College of Engineering Northern Border University Arar Saudi Arabia Department of Mathematics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai 602105 Tamil Nadu India Department of Mathematics The Islamia University of Bahawalpur Bahawalpur 63100 Pakistan Department of Industrial and Systems Engineering College of Engineering Princess Nourah bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Saudi Arabia Department of Petroleum Engineering College of Engineering Knowledge University Erbil 44001 Iraq Department of Petroleum Engineering Al-Kitab University Altun Kupri Iraq Department of Physics and Its Teaching Methods Tashkent State Pedagogical University Tashkent Uzbekistan Siirt University Art and Science Faculty Department of Mathematics 56100 Siirt Turkey Department of Computer Engineering Biruni University Topkapı 34010 Istanbul Turkey Near East University Mathematics Research Center Department of Mathematics Near East Boulevard PC: 99138 Mersin 10 Nicosia Turkey Applied Science Research Center Applied Science Private University Amman Jordan Ghazni University Department of Mathematics Afghanistan Department of Industrial Engineering College of Engineering and Computer Science Jazan University P. O. Box 706 Jazan 45142 Saudi Arabia Department of Mathematical Science College of Engineering University of Business and Technology Jeddah 21361 Saudi Arabia Department of Mechanical Engineering College of Engineering in Wadi Alddawasir Prince Sattam Bin Abdulaziz University Saudi Arabia Production Engineering and Mechanical Design Department Faculty of Engineering Mansoura University P.O 35516 Mansoura Egypt

The importance of thermal radiation and Stefan blowing on the boundary layer flow of tetra hybrid nanofluid flow across a disk are examined in the present work employing the Cattaneo-Christov flux model. Additionally, the Marangoni convection effect and Stefan blowing are examined. Tetra-hybrid nanofluids are employed in sophisticated thermal systems like heat exchangers, solar energy systems, and cooling technologies because of their improved thermal conductivity and heat transmission properties. Under microgravity conditions, a surface tension differential in the plasma causes the intriguing scientific phenomenon known as Marangoni convection. Important uses of the Marangoni effect include welding, convection or Bernard cells, crystal growth, electron beam melting of metals, soap film stability, and more. In order to improve heat exchangers in chemical processes, optimize thermal management in power plants, and provide effective cooling systems for intricate machinery, the model is essential. Furthermore, it is a flexible tool for contemporary engineering solutions that advance sustainable practices by improving the energy efficiency of renewable technologies. To solve the problem, the Homotopy analysis approach is applied, and graphs are used to show the analytical outcomes. The temperature and velocity fields rise as the Stefan blowing parameter rises, while the solutal profile falls.

关键词： Thermal radiation Cattaneo-Christov model Tetra hybrid nanofluid Stefan blowing Heat generation

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On Aggregation in Ensembles of Multilabel Classifiers

arXiv

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arXiv 2020年

作者： Nguyen, Vu-Linh Hüllermeier, Eyke Rapp, Michael Mencía, Eneldo Loza Fürnkranz, Johannes Heinz Nixdorf Institute Department of Computer Science Paderborn University Germany Knowledge Engineering Group TU Darmstadt Germany Computational Data Analytics Group JKU Linz Austria

While a variety of ensemble methods for multilabel classification have been proposed in the literature, the question of how to aggregate the predictions of the individual members of the ensemble has received little attention so far. In this paper, we introduce a formal framework of ensemble multilabel classification, in which we distinguish two principal approaches: "predict then combine" (PTC), where the ensemble members first make loss minimizing predictions which are subsequently combined, and "combine then predict" (CTP), which first aggregates information such as marginal label probabilities from the individual ensemble members, and then derives a prediction from this aggregation. While both approaches generalize voting techniques commonly used for multilabel ensembles, they allow to explicitly take the target performance measure into account. Therefore, concrete instantiations of CTP and PTC can be tailored to concrete loss functions. Experimentally, we show that standard voting techniques are indeed outperformed by suitable instantiations of CTP and PTC, and provide some evidence that CTP performs well for decomposable loss functions, whereas PTC is the better choice for non-decomposable losses. Copyright © 2020, The Authors. All rights reserved.

关键词： Forecasting

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A Continuous Information Gain Measure to Find the Most Discriminatory Problems for AI Benchmarking

A Continuous Information Gain Measure to Find the Most Discr...

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Congress on Evolutionary Computation

作者： Matthew Stephenson Damien Anderson Ahmed Khalifa John Levine Jochen Renz Julian Togelius Christoph Salge Department of Data Science and Knowledge Engineering Maastricht University Maastricht the Netherlands Computer and Information Sciences Department University of Strathclyde Glasgow UK Game Innovation Lab Tandon School of Engineering New York University New York USA Research School of Computer Science Australian National University Canberra Australia

ISBN: (数字)9781728169293

ISBN: (纸本)9781728169309

This paper introduces an information-theoretic method for selecting a subset of problems which gives the most information about a group of problem-solving algorithms. This method was tested on the games in the General Video Game AI (GVGAI) framework, allowing us to identify a smaller set of games that still gives a large amount of information about the abilities of different game-playing agents. This approach can be used to make agent testing more efficient. We can achieve almost as good discriminatory accuracy when testing on only a handful of games as when testing on more than a hundred games, something which is often computationally infeasible. Furthermore, this method can be extended to study the dimensions of the effective variance in game design between these games, allowing us to identify which games differentiate between agents in the most complementary ways.

关键词： Games Correlation Artificial intelligence Testing Task analysis Noise measurement Technological innovation

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Optimizing novel thermal energy storage systems: Enhancing melting efficiency with tubes, stands, and advanced machine learning techniques

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Journal of Energy Storage 2025年 124卷

作者： Almadhor, Ahmad Basem, Ali Singh, Pradeep Kumar Othman, Nashwan Adnan Samad, Sarminah Alhomayani, Fahad M. Abduvalieva, Dilsora Ali, H. Elhosiny Akram, Muhammad Afzal, Abdul Rahman Department of Computer Engineering and Networks College of Computer and Information Sciences Jouf University Saudi Arabia Faculty of Engineering Warith Al-Anbiyaa University Karbala56001 Iraq Department of Mechanical Engineering Institute of Engineering & Technology GLA University U.P. Mathura281406 India Department of Computer Engineering College of Engineering Knowledge University Erbil44001 Iraq Department of Computer Engineering Al-Kitab University Altun Kupri Iraq Department of Management College of Business Administration Princess Nourah bint Abdulrahman University Riyadh11671 Saudi Arabia College of Computers and Information Technology Taif University Saudi Arabia Applied College Taif University Saudi Arabia Department of Mathematics and Information Technologies Tashkent State Pedagogical University Bunyodkor avenue 27 Tashkent100070 Uzbekistan Physics Department Faculty of Science King Khalid University P.O. Box 9004 Abha Saudi Arabia Faculty of Design Informatics and Business University of Abertay Scotland Dundee United Kingdom Department of Industrial Engineering College of Engineering University of Business and Technology Jeddah21361 Saudi Arabia

The transition to renewable energy is crucial to meet growing global energy demands while minimizing environmental impact. Solar energy, a leading renewable source, faces limitations due to its intermittent nature, making energy storage systems essential for continuous supply. Thermal energy storage systems (TESSs) provide a compelling solution, especially by utilizing latent heat storage with phase change materials (PCMs), which efficiently store large amounts of energy. However, PCM-based systems suffer from low thermal conductivity and weak heat transfer performance. Numerous techniques to amend the thermal conductivity of PCMs, whether applied individually or together, show promise for improving the efficiency of TESSs. However, challenges like increased viscosity, decreased latent heat capacity, high costs, and complex manufacturing often limit their practical use. Thus, it is crucial to investigate more straightforward and more cost-effective solutions, like incorporating extended surfaces into the PCM container. In this study, a novel approach is taken to ameliorate the heat transfer surface area in TESSs by incorporating tubes and stands inside the PCM container rather than relying on conventional fins. A new compact TESS design was introduced, featuring fixed tubes supported by aluminum-made stands. Two artificial neural networks (ANN) models were trained with input parameters, including the length of the vertical stands, horizontal stands, and tilted stands, to anticipate the half-melting time and complete melting time of the PCM. In the end, two optimal designs of O-TESS1 and O-TESS2 were proposed by a single-objective optimization, focusing on minimizing the half and complete melting times of the PCM, respectively. A multi-objective optimization was also performed to balance the mentioned objectives. Using the generated data, a Pareto front and TOPSIS-selected designs were developed to visualize the trade-offs between these competing objectives. It took

关键词： Solar heating

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Local thermal non-equilibrium effects on Marangoni convective flow of Casson fluid with elastic deformation: Perspective of Cattaneo-Christov flux model

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International Journal of Thermofluids 2025年 27卷

作者： Munawar Abbas Ali Akgül Talib K. Ibrahim Qasem Al-Mdallal Umid Turdialiyev Hafiz Muhammad Ghazi Zuhair Jastaneyah Hakim AL Garalleh Department of Mathematics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai 602105 Tamil Nadu India Department of Mathematics The Islamia University of Bahawalpur Bahawalpur 63100 Pakistan Department of Electronics and Communication Engineering Saveetha School of Engineering SIMATS Chennai Tamilnadu India Siirt University Art and Science Faculty Department of Mathematics 56100 Siirt Turkey Department of Computer Engineering Biruni University 34010 Topkapı Istanbul Turkey Near East University Mathematics Research Center Department of Mathematics Near East Boulevard PC: 99138 Nicosia /Mersin 10 Turkey Applied Science Research Center Applied Science Private University Amman Jordan Department of Petroleum Engineering College of Engineering Knowledge University Erbil 44001 Iraq Department of Computer Engineering Al-Kitab University Altun Kupri Iraq Department of Mathematical Sciences P.O. Box 15551 UAE University Al-Ain UAE Doctor of Technical Sciences Department of Organic Chemistry Rector Andijan Machine-Building Institute Bobur Avenue 56. Andijan Uzbekistan Department of Information Engineering Technology National Skills University Islamabad 44310 Islamabad Pakistan Department of Mechanical Engineering College of Engineeringx University of Business and Technology Jeddah 21361 Saudi Arabia Department of Mathematical Science College of Engineering University of Business and Technology Jeddah 21361 Saudi Arabia

This work investigates the effects of local thermal non-equilibrium impacts on the chemical reactive flow of Casson fluid under elastic deformation over a sheet. The modified theory for mass and heat transport is the generalized CattaneoChristov theory, which takes into consideration the importance of relaxation times. Chemical reactors, heat exchangers, and geothermal systems are examples of engineering applications where precise temperature control between various materials or phases is required to maximize performance and efficiency. These applications depend on local thermal non-equilibrium conditions. In systems that use non-Newtonian fluids, as those found in polymer manufacturing, petroleum drilling, and food industry applications, this model can be applied to maximize heat and mass transmission. The CattaneoChristov heat flow theory provides a more accurate depiction of thermal behaviour in such fluids by accounting for thermal relaxation effects. In chemically reactive situations, these effects are crucial for increasing energy conversion, speeding up reaction rates, and creating efficient heat management systems. The relevant similarity variables are condensed, and then the model equation system is numerically resolved using the bvp4c method. The higher the interphase heat transfer value, the lower the thermal profile of the Casson fluid's solid and fluid phases.

关键词： Casson fluid Elastic deformation Chemical reactive flow Marangoni convection Local thermal non-equilibrium

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Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from Dynamic Perfusion Scans using Time Separation Technique

Liver Segmentation in Time-resolved C-arm CT Volumes Reconst...

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International Image Processing, Applications and Systems Conference (IPAS)

作者： Soumick Chatterjee Hana Haseljić Robert Frysch Vojtěch Kulvait Vladimir Semshchikov Bennet Hensen Frank Wacker Inga Brüsch Thomas Werncke Oliver Speck Andreas Nürnberger Georg Rose Data and Knowledge Engineering Group Faculty of Computer Science Otto von Guericke University Magdeburg Magdeburg Germany Department of Biomedical Magnetic Resonance Faculty of Nature Science Otto von Guericke University Magdeburg Magdeburg Germany Faculty of Electrical Engineering and Information Technology Institute for Medical Engineering Otto von Guericke University Magdeburg Magdeburg Germany Faculty of Electrical Engineering and Information Technology Research Campus STIMULATE Otto von Guericke University Magdeburg Magdeburg Germany Institute of Materials Physics Helmholtz-Zentrum hereon Geesthacht Germany Institute of Diagnostic and Interventional Radiology Hannover Medical School Hannover Germany Research Campus STIMULATE Otto von Guericke University Magdeburg Magdeburg Germany Institute for Laboratory Animal Science Hannover Medical School Hannover Germany Department of Biomedical Magnetic Resonance Faculty of Nature Science Otto von Guericke University Magdeburg German Center for Neurodegenerative Disease Magdeburg Germany Center for Behavioral Brain Sciences Magdeburg Germany

ISBN: (纸本)9781665462204

Perfusion imaging is a valuable tool for diagnosing and treatment planning for liver tumours. The time separation technique (TST) has been successfully used for modelling C-arm cone-beam computed tomography (CBCT) perfusion data. The reconstruction can be accompanied by the segmentation of the liver - for better visualisation and for generating comprehensive perfusion maps. Recently introduced Turbolift learning has been seen to perform well while working with TST reconstructions, but has not been explored for the time-resolved volumes (TRV) estimated out of TST reconstructions. The segmentation of the TRVs can be useful for tracking the movement of the liver over time. This research explores this possibility by training the multi-scale attention UNet of Turbolift learning at its third stage on the TRVs and shows the robustness of Turbolift learning since it can even work efficiently with the TRVs, resulting in a Dice score of $0.864\pm 0.004$ .

关键词： Training Image segmentation Computed tomography Computational modeling Motion segmentation Liver Imaging

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