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Effective Electricity Demand Prediction via Deep Learning

IEIE Transactions on Smart Processing and Computing 2021年第6期10卷 483-489页

作者： Ko, Daegun Yoon, Youngmin Kim, Jinoh Choi, Haelyong Smart-City Service Group Hyundai-Autoever 510 Teheran-ro Gangnam-gu Korea Republic of Smart-Factory of Next-Generation Service Group Hyundai-Autoever 510 Teheran-ro Gangnam-gu Korea Republic of Advanced Systems Convergence Lab Department of Systems Engineering Graduate School Ajou University 206 World cup-ro Yeongtong-gu Gyeonggi-do Suwon-si Korea Republic of CEO of Core DIT Co. Ltd 21 Bangbaecheon-ro 2-gil Seocho-gu Seoul Korea Republic of

Prediction of electricity demand in homes and buildings can be used to optimize an energy management system by decreasing energy wastage. A time-series prediction system is still a challenging problem in machine learning and deep learning. Our main idea is to compare three methods. For this work, we analyzed an electricity demand prediction system using the current state-of-the-art deep-learning methods with a machine-learning method: error correction with multi-layer perceptron (eMLP) structure, autoregressive integrated moving average (ARIMA) structure, and a proposed structure named CNN-LSTM. For this, we measured and collected electricity demand data in Germany for home appliances. We report the prediction accuracy in terms of the mean square error (MSE) and mean absolute percentage error (MAPE). The experimental result indicates that CNN-LSTM outperforms eMLP and ARIMA in accuracy. Copyrights © 2021 The Institute of Electronics and Information Engineers

关键词： Error correction

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Impact of Glazing Type, Wwr, and Window Orientation on Building Energy Savings Quality: A Parametric Analysis in Algerian Climate Conditions

SSRN

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SSRN 2024年

作者： Cherier, Mohamed Kamal Hamdani, Maamar Kamel, Ehsan El Amine Bekkouche, Sidi Mohammed Al-Saadi, Saleh Djeffal, Rachid Bashir, Maaz Osman Elshekh, Ali E.A. Drozdova, Lubomira Flah, Aymen Kanan, Mohammad Unité de Recherche Appliquée en Energies Renouvelables URAER Centre de Développement des Energies Renouvelables CDER Ghardaïa47133 Algeria Department of Energy Management New York Institute of Technology Old Westbury New YorkNY11568 United States Department of Civil and Architectural Engineering Sultan Qaboos University Muscat Oman Department of Civil Engineering College of Engineering Taif University Taif21944 Saudi Arabia ENET Centre VSB-Technical University of Ostrava Ostrava Czech Republic Energy Processes Environment and Electrical Systems Unit National Engineering School of Gabès University of Gabes Gabès6029 Tunisia College of Engineering Jeddah21448 Saudi Arabia MEU Research Unit Middle East University Amman11831 Jordan Applied Science Research Center Applied Science Private University Amman11931 Jordan

Although the opaque surfaces (walls) are responsible for significant heat loss and energy needs, the transparent surfaces (windows) also play an essential role in the building’s energy performance. The transparent surfaces of a building are the subject of a compromise that revolves around several parameters to be taken into account and must also satisfy interfering purposes. The size of the window, glazing type, orientation, and many other factors that are part of this building element will be inspected and considered during the design *** study investigates the energy savings of a building whose structure and configuration represent a typical reference case for the Algerian building stock. The EnergyPlus program was applied to perform the various energy simulation steps on the baseline model. 1,152 simulations were performed to obtain a database with detailed building energy demand (heating and cooling) results under different climatic conditions. The objective was to have a clear and precise idea of the energy savings thanks to a parametric study allowing to perceive the simultaneous effect of the type of glazing, the WWR, and an appropriate orientation. The final results gather all the information necessary for a careful analysis and the search for the best cases. © 2024, The Authors. All rights reserved.

关键词： Energy conservation

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A Micro-analysis Approach in Understanding Electronic Medical Record Usage in Rural Communities: Comparison of Frequency of Use on Performance before and during the COVID-19 Pandemic

A Micro-analysis Approach in Understanding Electronic Medica...

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2021 International Conference on ENTERprise Information systems, CENTERIS 2021 / ProjMAN 2021 - International Conference on Project management / HCist 2021 and International Conference on Health and Social Care Information systems and Technologies 2021

作者： Acacio-Claro, Paulyn Jean Justina Estuar, Maria Regina Villamor, Dennis Andrew Bautista, Maria Cristina Sugon, Quirino Pulmano, Christian Graduate School of Business Ateneo de Manila University Philippines Unit of Health Sciences Faculty of Social Sciences Tampere University Finland Department of Information Systems and Computer Science School of Science and Engineering Ateneo de Manila University Philippines Solid Earth Dynamics/Upper Atmosphere Dynamics Laboratory Manila Observatory Philippines Department of Physics School of Science and Engineering Ateneo de Manila University Philippines

In strengthening eHealth in the Philippines to support the universal health care (UHC) law, the scaling up and full adoption of electronic medical record (EMR) systems was strategically scheduled and supposedly completed in 2020. The Covid-19 pandemic, however, delayed these strengthening efforts. We wanted to assess the status of EMR adoption in primary clinics of rural health units (RHUs) and understand the frequency of use, particularly during the pandemic. Through analyses of EMR usage logs from selected RHUs in 2020, we estimated frequency of EMR usage based on duration of use and tested if this was influenced by the performing RHU and pandemic event. We also determined the most frequent EMR activities through process maps and tested if there were differences in the conduct of these activities before and during the pandemic. Results showed that EMR use during work hours was significantly dependent on the performing RHU (p © 2021 Elsevier B.V. All rights reserved.

关键词： Medical computing

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Extremum Seeking Boundary Control for Euler-Bernoulli Beam PDEs

arXiv

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arXiv 2025年

作者： Biazetto, Paulo H.F. de Andrade, Gustavo A. Oliveira, Tiago Roux Krstic, Miroslav Post-graduate Program in Automation and Systems Engineering Federal University of Santa Catarina Florianópolis88040-370 Brazil Department of Automation and Systems Engineering Federal University of Santa Catarina Florianópolis88040-370 Brazil Department of Electronics and Telecommunication Engineering State University of Rio de Janeiro Rio de Janeiro20550-900 Brazil Department of Mechanical and Aerospace Engineering University of California San DiegoCA92093-0411 United States

This paper presents the design and analysis of an extremum seeking (ES) controller for scalar static maps in the context of infinite-dimensional dynamics governed by the 1D Euler-Bernoulli (EB) beam Partial Differential Equation (PDE). The beam is actuated at one end (using position and moment actuators). The map’s input is the displacement at the beam’s uncontrolled end, which is subject to a sliding boundary condition. Notably, ES for this class of PDEs remains unexplored in the existing literature. To compensate for PDE actuation dynamics, we employ a boundary control law via a backstepping transformation and averaging-based estimates for the gradient and Hessian of the static map to be optimized. This compensation controller leverages a Schrödinger equation representation of the EB beam and adapts existing backstepping designs to stabilize the beam. Using the semigroup and averaging theory in infinite dimensions, we prove local exponential convergence to a small neighborhood of the unknown optimal point. Finally, simulations illustrate the effectiveness of the design in optimizing the unknown static map. Copyright © 2025, The Authors. All rights reserved.

关键词： Schrodinger equation

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Design and Modeling of Proton-Conducting Bilayer Electrolytes Using a Nernst-Planck-Poisson Formulation 17

Design and Modeling of Proton-Conducting Bilayer Electrolyte...

引用

17th International Symposium on Solid Oxide Fuel Cells, SOFC 2021

作者： Ortiz-Corrales, J.A. Matsuo, H. Otomo, J. Department of Environment Systems Graduate School of Frontier Sciences The University of Tokyo 5-1-5 Kashiwanoha Kashiwa Chiba277-8563 Japan Department of Transdisciplinary Science and Engineering School of Environment and Society Tokyo Institute of Technology 2-12-1 Ookayama Meguro Tokyo152-8550 Japan

ISBN: (纸本)9781607685395

In this study, the efficiency of proton-conducting ceramic fuel cells was improved by designing bilayer electrolytes with high ion conductivity and low hole conduction. The designs were carried out by finding the thicknesses of anode and cathode-side electrolytes that optimizes efficiency using integral equations based on Wagner theory. Results obtained for bilayer electrolytes were compared with those of single-layer electrolytes. Best performances were found when thin layers of lanthanum tungstate (La28-xW4+xO54+3x/2v2-3x/2) with an La/W ratio of 6.7 (LWO67) were used as cathode-side electrolytes attached to commonly used perovskite materials like BaCe0.9Y0.1O3-δ(BCY10), BaZr0.8Y0.2O3-δ(BZY20), and BaZr0.1Ce0.7Y0.1Yb0.1O3-δ(BZCYYb1711). In addition, the transport properties of a single-layer LWO67 electrolyte were further analyzed by using the Nernst-Planck-Poisson (NPP) model for which parameters were fitted. Finally, a bilayer NPP formulation was explored to obtained the charged defect fluxes and other useful information to enhance the efficiency of a bilayer BZY20|BZCYYb1711 electrolyte. © 2021 Electrochemical Society Inc.. All rights reserved.

关键词： Cathodes

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Deep Learning-based Integrated System for Intraoperative Blood Loss Quantification in Surgical Sponges

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IEEE Journal of Biomedical and Health Informatics 2024年 PP卷 PP页

作者： Nguyen, Dang Le, Minh Huu Nhat Huynh, Phat K. Le, Trung Q. Charles-Okezie, Chinyere Diaz, Michael J. Sabet, Cameron Dang, Hung The Nguyen, Tuan Nguyen, Hoan Tran, Minh Le, Nguyen Quoc Khanh Muncey, Aaron Taipei Medical University International Ph.D. Program in Medicine College of Medicine Taipei110 Taiwan University of South Florida Department of Medical Engineering TampaFL United States University of South Florida Department of Industrial and Management Systems Engineering TampaFL United States Georgetown University School of Medicine Department of Medicine WashingtonDC United States Faculty of Life Sciences & Medicine King's College London School of Biomedical Engineering & Imaging Sciences London United Kingdom Minerva University San FranciscoCA United States Fredericton Leo Hayes High School NB Canada Taipei Medical University Research Center for Artificial Intelligence in Medicine Taipei106 Taiwan Taipei Medical University Professional Master Program in Artificial Intelligence in Medicine College of Medicine Taipei110 Taiwan Taipei Medical University Hospital Translational Imaging Research Center Taipei110 Taiwan Moffitt Cancer Center and Research Institute Department of Anesthesiology TampaFL United States

Accurate quantification of intraoperative blood loss is crucial for enhancing patient safety and the success rate of surgeries. Traditional estimation techniques, mainly reliant on visual assessments, are prone to significant inaccuracies due to their subjective nature. This study introduces MDCare, an innovative deep learning-integrated system designed to substantially improve the precision of blood loss quantification using surgical sponges. By integrating advanced hardware components, including a mass sensor and webcam, with sophisticated algorithms like ResNet-18 and YOLOv4, MDCare achieves classification accuracy up to 96.2% and sponge detection accuracies above 91% for both synthetic and real blood scenarios. The system processes images at 7.4 frames per second, aligning with the exigent pace of surgical environments, thereby supporting surgeons with real-time, accurate blood loss data essential for timely and informed decision-making. The contributions of the paper are: (1) Demonstrating the application of advanced machine learning models in a critical clinical setting, achieving significantly higher accuracy in blood loss estimation compared to traditional methods;(2) Validating the system's efficacy in real-time surgical environments, thereby enhancing the decision-making process and potentially reducing postoperative complications;(3) Setting a new standard in surgical care by integrating a complex system into real-world clinical workflows, showcasing its adaptability and potential for widespread adoption. Future work will focus on expanding the dataset and refining the algorithms to ensure the MDCare system's robustness and adaptability across surgical settings. The findings underscore the potential of MDCare to automate and refine critical aspects of surgery, marking a significant advancement in surgical care. © 2024 IEEE.

关键词： Digital storage

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Clinical applications of artificial intelligence in diabetes management: A bibliometric analysis and comprehensive review

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Informatics in Medicine Unlocked 2024年 50卷

作者： Daza, Alfredo Olivos-López, Ander J. Chumbirayco Pizarro, Margarita Abad Escalante, Karol Moira Chavez Ortiz, Patricia Gladys Montes Apaza, Rousell Dario Ruiz-Baca, Jesús Sánchez-Chávez, Juan Pablo Faculty of Engineering Professional School of Systems Engineering and Informatics Universidad Nacional del Santa Nuevo Chimbote Peru Department of Health Sciences Professional School of Human Medicine Universidad Nacional del Santa Nuevo Chimbote Peru Humanistic Training Program Universidad César Vallejo Lima Peru Faculty of Health Sciences School of Nursing Universidad César Vallejo Lima Peru Academic Department of Engineering Sciences Professional School of Renewable Energy Engineering Universidad Nacional de Juliaca Juliaca Peru Faculty of Science Professional School of Human Medicine Universidad Nacional del Santa Nuevo Chimbote Peru

Background: Diabetes is one of the most common pathologies today and has become a constant problem in public health worldwide. Objective: The purpose of this study is to deepen the knowledge of the most applied type of diabetes, the methods to test the performance of the model, the most used techniques with better accuracy, the metrics and the programming languages used in the detection of diabetes. To give a more holistic view of this area of health, this article presents a systematic review of literature (SLR) to analyze artificial intelligence techniques in the detection of diabetes. Methods: A comprehensive search of five databases: MDPI, ScienceDirect, Scopus, Taylor and Francis, and Web of Science using keywords was carried out, which identified 70 articles between 2017 and 2023. This article followed the PRISMA methodology, considering inclusion and exclusion criteria, with the aim of synthesizing the findings related to various aspects: types of diabetes, methods to test model performance, techniques, metrics and programming languages;In addition, new challenges and future work were proposed. Results: The type of diabetes most applied was Type-2 Diabetes Mellitus, the methods to test model performance most used were cross validation with 10 and 5 k-folds;on the other hand, the most efficient technique was Random Forest, the same that obtained the best accuracy, the essential metrics to determine the effectiveness of the model were Accuracy and F1-Score and finally the most used programming language to develop the models was Python. Conclusions: This research provides scientific evidence on how machine learning and deep learning techniques can improve diabetes detection. Therefore, this article seeks to contribute to the field of health, specifically to the detection, management and treatment of diabetes using artificial intelligence algorithms as a competitive advantage. It also provides information to make more accurate clinical decisions, for which we iden

关键词： Deep learning Diabetes Machine learning Prediction

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Experiment and Large-Eddy Simulation on Free Air Jets Issuing from a Rectangular Nozzle with Deflectors

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Journal of Flow Control, Measurement & Visualization 2021年第4期9卷 73-92页

作者： Riku Ouchi Takahiro Kiwata Naoki Kajitani Hiroshi Teramoto Graduate School of Natural Science and Technology Kanazawa University Ishikawa Japan Thermal Management Systems R&D Div. DENSO CORP Aichi Japan School of Mechanical Engineering Kanazawa University Ishikawa Japan Department of Mechanical Engineering National Institute of Technology Ishikawa College Ishikawa Japan

The purpose of the present study was to establish a passive flow control method for a rectangular jet using two types of deflectors installed symmetrically inside a nozzle. This deflector in a rectangular nozzle generates the rectangular coaxial jets. The effect of the slant angle of the deflectors on the flow characteristics and the spread of the rectangular jet was investigated experimentally and by large-eddy simulation. The experiment and the numerical simulation were carried out at a Reynolds number of 9000. The rectangular jet with no deflectors generates a vortex ring from the nozzle exit. The vortex ring collapses in the downstream region and the outline of the jet changes from rectangular to diamond-shaped as a result of the axis-switching phenomenon. The rectangular jet with divergent and convergent deflectors shows particularly noticeable changes in the flow characteristics and vortical structures, as compared to the case with no deflectors. In the case of the rectangular jet with divergent deflectors (slant angle of α = 6°), minor axis spread is promoted more than major axis spread, and axis switching occurs closer to the nozzle exit than that in the case of no deflectors. The outline of the jet also changes from lateral rectangular to vertical rectangular as a result of axis switching. On the other hand, in the case of a rectangular jet with convergent deflectors (α = -6°), minor axis spread is suppressed more than major axis spread, and axis switching occurs farther from the nozzle exit than that in the case with no deflectors. The outline of the jet does not change until the downstre

关键词： Jet Rectangular Nozzle Deflectors Flow Control Flow Measurement Numerical Simulation LES

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The Evaluation of the Local Beer Industry during the COVID-19 Pandemic and Its Relationship with Open Innovation

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Journal of Open Innovation: Technology, Market, and Complexity 2022年第3期8卷

作者： Ong, Ardvin Kester S. Pequeña, Arianne R. Prasetyo, Yogi Tri Chuenyindee, Thanatorn Buaphiban, Thapanat Persada, Satria Fadil Nadlifatin, Reny School of Industrial Engineering and Engineering Management Mapua University 658 Muralla St. Intramuros Manila 1102 Philippines School of Graduate Studies Mapúa University 658 Muralla St. Intramuros Manila 1002 Philippines Department of Industrial Engineering and Management Yuan Ze University 135 Yuan-Tung Road Chung-Li 32003 Taiwan Department of Industrial Engineering and Aviation Management Navaminda Kasatriyadhiraj Royal Air Force Academy Bangkok 10220 Thailand BINUS Business School Undergraduate Program Entrepreneurship Department Bina Nusantara University Jakarta 11480 Indonesia Department of Information Systems Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo Surabaya 60111 Indonesia

The beer industry is one of the businesses affected during the COVID-19 pandemic. Despite the exponential growth of the beer industry throughout the years, this aspect of the beverage industry has gained limited attention and has been underexplored. This study aimed to provide a better and up-to-date understanding of Philippine-beer consumers to speed up its recovery. An online survey with 853 volunteer respondents was conducted to investigate Filipinos’ local beer consumption considering frequency, intake, expenses, and preference. A descriptive analysis of the consumers’ self-perceived evaluation of the changes in drinking showed a slight decrease in frequency, intake, and expenses and a minor change in preference. Somers’ d and the chi-squared test results indicated significant relationships between each demographic information (age, sex, and income) and frequency, intake, and expenses. In addition, a conjoint analysis with an orthogonal design indicated that price was the most important attribute (58.025%), followed by primary taste (12.452%), alcohol content (9.706%), mouthfeel (6.445%), aftertaste (6.355%), aroma (5.189%), and, lastly, color (1.827%). The findings of this study could be used as a baseline for improved product offerings, customized advertisements, and market segmentation. Moreover, the results of this study could be applied and extended by breweries to promote and create strategies. Lastly, this study could be extended and utilized by other beverage industries worldwide. © 2022 by the authors.

关键词： beer conjoint analysis consumer preference COVID-19 pandemic expenditure

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3D printing of soft-matter mono pump in infant ventricular assist device (VAD) for blood pumping

3D printing of soft-matter mono pump in infant ventricular a...

引用

Pacific Rim Meeting on Electrochemical and Solid State Science 2020, PRiME 200

作者： Yeh, Y.C. Yamada, N. Watanabe, Y. Shiblee, M.N.I. Ogawa, J. Khosla, A. Kawakami, M. Akamatsu, T. Furukawa, H. Department of Management of Technology Graduate School of Science and Engineering Yamagata University 4-3-16 Jonan Yonezawa Yamagata992-8510 Japan Department of Mechanical Systems Engineering Graduate School of Science and Engineering Yamagata University 4-3-16 Jonan Yonezawa Yamagata992-8510 Japan Muromachi-dori and Nakadachiuri dori 3-471 Kamigyō-ku Kyoto602-0915 Japan

ISBN: (纸本)9781607689089

We want to develop a soft-matter Mono pump for infant Ventricular Assist Device (VAD). In this research, we have developed the Mono pump, which is made of soft materials and hard materials to study the effect of applying the soft materials to the Mono pump. The stator of the 3D printed Mono pump was made with biocompatible soft materials called Inter Cross-linking Network (ICN) gels. We believe that ICN gels have not only specific toughness and low friction but also excellent biocompatibility that can prevent blood cell trauma and the transplant rejection. Moreover, the rotor is made of hard materials using commercial resin or filament based 3D printers, (Form 2 and Flashforge Creator). Finally, we will compare the practical and theoretical displacement from the flow rate measurement to implement the best performance of the Mono pump in practical use. © The Electrochemical Society.

关键词： Pumps

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