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Smart Power & Internet Energy Systems (SPIES), International Conference on

作者： Priyabrata Shaw Muhammad Mubashir Alam Saad Ul Hasan Yam P. Siwakoti dylan dah-Chuan Lu Department of Electronics & Control Research and Development (R&D) Shakti Pumps (India) Ltd. India School of Electrical & Data Engineering University of Technology Sydney Australia

This paper proposes a dual-input single-output (dISO) step-up dc-dc converter exhibiting high voltage gain for grid-connected applications. The main advantage of the proposed concept is the common ground between input and output ports with a continuous input current profile at both input ports. The operating principle and steady-state analysis are presented in detail. The voltage gain expressions for both inputs are obtained using equivalent circuit analysis. The voltage and current stresses of all components and the design equations for L-C elements are derived. Preliminary simulation results are presented using the LTspice simulator to demonstrate the key operational characteristics of the proposed dISO step-up converter. Finally, the converter operation and analytical studies are verified through sample experimental results captured using a prototype converter.

关键词： Photovoltaic systems Simulation Mathematical analysis Voltage dC-dC power converters High-voltage techniques Topology

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Classification of ISAr Images Generated from Model-based Approaches Using deep Learning

Classification of ISAR Images Generated from Model-based App...

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International Conference on Information Networking

作者： Soyoon Park Seonmin Cho Seongwook Lee Taewon Jeong Youngjae Choi Seungeui Lee Youngseok Bae School of Electrical and Electronics Engineering College of ICT Engineering Chung-Ang University Seoul Republic of Korea Institute of Radio Frequency Engineering and Electronics Karlsruhe Institute of Technology Karlsruhe Germany Advanced R&D Center Hanwha Systems Gyeonggi-do Republic of Korea Emerging Science and Technology Directorate Agency for Defense Development Daejeon Republic of Korea

ISBN: (数字)9798331506940

ISBN: (纸本)9798331506957

The classification of small, low-observable airborne targets, such as drones and birds, poses significant challenges due to their low detection rates. Conventional vision sensorbased approaches often suffer from reduced performance in low-visibility environments or adverse weather conditions. Additionally, the integration of infrared sensors alongside camera sensors increases hardware complexity and cost, rendering such solutions inefficient. To address these limitations, we propose a method that leverages deep learning and inverse synthetic aperture radar (ISAr) imaging for accurate target classification, using only radar sensors. Our proposed deep learning-based ISAr image classifier comprises two key components: simulated ISAr image generation and deep learning-based classification. We construct simulated ISAr datasets using point scatter (PS) modeling for quadcopter drones, hexacopter drones, and aircraft, and three-dimension (3d) mesh modeling for birds, unmanned aerial vehicles, and quadcopter drones. The two datasets based on PS and 3d mesh modeling are used to train a proposed deep learning classifier. The proposed classifier can achieve a classification accuracy of $\mathbf{9 8 \%}$ on the PS-based dataset and $\mathbf{9 6 \%}$ on the 3d mesh-based dataset, where scattering was calculated using the physical optics method.

关键词： deep learning Solid modeling Three-dimensional displays Accuracy Atmospheric modeling Physical optics radar imaging Inverse synthetic aperture radar drones Quadrotors

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degradation Behavior of Chromium-Coated Zirconium Cladding Under High-Temperature Oxidation According to the Coating Microstructure

SSRN

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SSrN 2024年

作者： Jung, Tae-Sik Jang, Hoon Cho, Yong Ki Jang, dongchan Materials Development Section Nuclear Fuel Technology Department KEPCO Nuclear Fuel Daejeon34057 Korea Republic of Department of Nuclear and Quantum Engineering Korea Advanced Institute of Science and Technology Daejeon34141 Korea Republic of Customized Manufacturing R&D Department Korea Institute of Industrial Technology Seohaean-ro Gyeonggi-do Siheung-si113-58 Korea Republic of

In 2011, the Great East Japan Earthquake and tsunami caused a hydrogen explosion at the Fukushima daiichi nuclear power plant, which exposed radioactive materials to the atmosphere and had a very negative impact on the nuclear power industry. Since then, efforts have intensified around the world to make nuclear power safer. Accident-tolerant fuel (ATF) is being developed to prevent the rapid oxidation of zirconium cladding, which directly causes hydrogen explosions. ATF research can be divided into two main approaches: changing the cladding material, or coating the surface of the cladding. Coatings are easier to commercialize and apply to existing nuclear power plants, so most vendors have focused on this approach. Chromium is a popular coating medium because of its superior properties such as a low oxidation rate and excellent adhesion. Therefore, research has been focused on suppressing the rapid oxidation of zirconium cladding in the event of an accident by adding a chromium coating with an appropriate thickness in terms of both economy and effectiveness. Even if the thickness of the coating is fixed, the penetration of oxidizing substances can be further delayed by improving the microstructure of the chromium coating, such as by reducing the grain boundary area. In this study, chromium-coated zirconium cladding tubes were fabricated by the arc ion plating process. The microstructure of the chromium coating was adjusted by varying the negative voltage (0–125 V), which in turn controlled the velocity at which the chromium ionic particles hit the surface of the cladding tube. Experiments were then performed in a high-temperature steam environment to determine the optimal microstructure for high-temperature oxidation resistance. The development of various material degradation phenomena that occurred during high-temperature oxidation was observed to identify the oxidation mechanism and the main factors of the microstructure that affect the zirconium oxidation rate. ©

关键词： Thermooxidation

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dQN-Based Voltage regulation for Active distribution Network with distributed Energy Storage System 5th

DQN-Based Voltage Regulation for Active Distribution Network...

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International Top-Level Forum on Engineering Science and technology development Strategy and 5th PUrPLE MOUNTAIN FOrUM on Smart Grid Protection and Control, PMF2020

作者： Yu, Wu Huawei, Gao Xiaohai, Zhang Quansheng, Cui Peng, Zhang Shuangyashan Power Company Shuangyashan Heilongjiang155100 China R&D Center Pinggao Integrated Energy Service Company Beijing100052 China Beijing Zhizhong Energy Technology Development Co. Beijing100091 China

ISBN: (纸本)9789811597459

Using the energy storage system to regulate the distribution network voltage can effectively deal with the distribution network voltage level caused by the high intermittence of renewable energies and the fluctuation of load demand. In this paper, the charging and discharging action of energy storage system is modeled as a Markov decision-making process, and a deep-Q-network based (dQN-based) voltage regulation algorithm is proposed for the distribution network with energy storage system. Since the state space of the problem is too large, this dQN-based voltage regulation algorithm uses a neural network to approach the optimal action values of the energy storage, and the neural network is trained by the experience replay strategy. The input of the neural network is the state eigenvector composed of the state of capacity (SOC) of the energy storages, the predicted power outputs of renewable energies and the power load level, and the output of the neural network is the optimal discrete charging and discharging action value used to improve the voltage level. Compared to the traditional voltage regulation methods, the proposed dQN-based voltage regulation method is a learning-based approach, which does not need the explicit uncertainty model and decreases the solution complexity. The proposed dQN-based voltage regulation algorithm is tested in the IEEE 33-bus distribution network and the results are analyzed to prove the effectiveness of the proposed voltage regulation algorithm. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Voltage regulators

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Autonomous drug design with Multi-Armed Bandits

Autonomous Drug Design with Multi-Armed Bandits

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IEEE International Conference on Big data

作者： Hampus Gummesson Svensson Esben Jannik Bjerrum Christian Tyrchan Ola Engkvist Morteza Haghir Chehreghani Department of Computer Science and Engineering Chalmers University of Technology Gothenburg Sweden Molecular AI Discovery Sciences R&D AstraZeneca Gothenburg Sweden Odyssey Therapeutics Cambridge MA USA Medicinal Chemistry Research and Early Development Respiratory and Immunology (R&I) BioPharmaceuticals R&D AstraZeneca Gothenburg Sweden

ISBN: (纸本)9781665480468

recent developments in artificial intelligence and automation support a new drug design paradigm: autonomous drug design. Under this paradigm, generative models can provide suggestions on thousands of molecules with specific properties, and automated laboratories can potentially make, test and analyze molecules with minimal human supervision. However, since still only a limited number of molecules can be synthesized and tested, an obvious challenge is how to efficiently select among provided suggestions in a closed-loop system. We formulate this task as a stochastic multi-armed bandit problem with multiple plays, volatile arms and similarity information. To solve this task, we adapt previous work on multi-armed bandits to this setting, and compare our solution with random sampling, greedy selection and decaying-epsilon-greedy selection strategies. According to our simulation results, our approach has the potential to perform better exploration and exploitation of the chemical space for autonomous drug design.

关键词： drugs Automation Simulation Laboratories decision making Stochastic processes Big data

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Mitigating dust and air pollution from open-field rice straw burning through biochar production using an integrated biomass gasifier and burner

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Case Studies in Chemical and Environmental Engineering 2025年 11卷

作者： Unsomsri, Nathawat Koedthong, Patchara Tawkaew, Sittinun Wiriyasart, Songkran Kaewluan, Sommas Biofuel and Bioenergy Technology Research and Development Laboratory (BBT R&D) Department of Mechanical Engineering Faculty of Engineering Srinakharinwirot University 63 Rangsit-Nakhonnayok Rd. Ongkharak Nakhon nayok 26120 Thailand Department of Chemical Engineering Faculty of Engineering Srinakharinwirot University 63 Rangsit-Nakhonnayok Rd. Ongkharak Nakhon nayok 26120 Thailand Thermal Solution and Energy Technology Research and Development Laboratory (TSET R&D) Department of Mechanical Engineering Faculty of Engineering Srinakharinwirot University 63 Rangsit-Nakhonnayok Rd. Ongkharak Nakhon nayok 26120 Thailand

Biochar, a carbon-rich byproduct of rice straw pyrolysis, offers a sustainable alternative to open-field burning by reducing emissions and enhancing carbon sequestration. This study optimized biochar production at 550 °C for 4 hours, yielding 61 % carbon content with a 0.92 stability factor. Each batch retains 4.382 kg of carbon (16.07 kg CO₂eq), with an annual sequestration of 5.863 tons CO₂eq. The biomass gasifier and burner (BGB) system reduced greenhouse gas (GHG) emissions by 65 % and total suspended particulates (TSP) by 89 %, meeting environmental standards. These results highlight biochar's role in mitigating climate change and providing farmers with a cleaner alternative to conventional burning practices. © 2025 The Authors

关键词： Combustion Gasification Jasmine rice straw Pyrolysis Wood scraps

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Impact of kiln capacity on environment friendly biochar yield and biochar characteristics from rubberwood scrap using a modified cross draft biomass gasifier and burner as heat source

Case Studies in Chemical and Environmental Engineering

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Case Studies in Chemical and Environmental Engineering 2025年 11卷

作者： Unsomsri, Nathawat Sriwilai, Wichit Wiriyasart, Songkran Sriromreun, Paranee Kaewluan, Sommas Biofuel and Bioenergy Technology Research and Development Laboratory (BBT R&D) Department of Mechanical Engineering Faculty of Engineering Srinakharinwirot University 63 Rangsit-Nakhonnayok Rd. Ongkharak Nakhon nayok 26120 Thailand Thermal Solution and Energy Technology Research and Development Laboratory (TSET R&D) Department of Mechanical Engineering Faculty of Engineering Srinakharinwirot University 63 Rangsit-Nakhonnayok Rd. Ongkharak Nakhon nayok 26120 Thailand Department of Chemical Engineering Faculty of Engineering Srinakharinwirot University 63 Rangsit-Nakhonnayok Rd. Ongkharak Nakhon nayok 26120 Thailand

The study examines the impact of kiln capacity on environmentally friendly biochar yield and characteristics from rubberwood scrap using an MCGB as the heat source. A 600-liter finned-wall kiln was tested at 50 %, 75 %, and 100 % capacity. The MCGB maintained 550 °C for pyrolysis, with an equivalence ratio of 0.3–0.6 (gasification) and 0.7–0.9 (combustion), a peak temperature of 1204 °C. The biochar yield was 26–27 %, while wood vinegar yield ranged from 38.1 to 42.5 %. The kiln reduced pyrolysis time by 55 % compared to conventional klin, with GHG emissions of 0.16–0.21 kg CO₂e/kg-biochar. The biochar met cooking and deodorization standards, highlighting the MCGB's efficiency and sustainability. © 2025 The Authors

关键词： Biochar production Finned-wall kiln Greenhouse gas emissions Modified cross-draft gasifier Pyrolysis Wood scraps

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Identification of cell type-specific cell-penetrating peptides through in vivo phage display leveraged by next generation sequencing

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Biomedicine and Pharmacotherapy 2025年 182卷 117740-117740页

作者： Kohl, Franziska Laufkötter, Oliver Firth, Mike Krimpenfort, Luc Mangla, Priyanka Ansarizadeh, Mohammadhassan Geylan, Gökçe Eklund, Lauri de Maria, Leonardo Jakobsson, Lars Wiseman, John Centre for Genomics Research Discovery Sciences BioPharmaceuticals R&D AstraZeneca Gothenburg Sweden Department of Medical Biochemistry and Biophysics Karolinska Institutet Stockholm Sweden Department of Life Science Informatics B-IT Rheinische Friedrich-Wilhelms-Universität Bonn Germany Data Sciences and Quantitative Biology Discovery Sciences BioPharmaceuticals R&D AstraZeneca Cambridge United Kingdom Oligonucleotides and Targeted Delivery Discovery Sciences BioPharmaceuticals R&D AstraZeneca Gothenburg Sweden Oulu Center for Cell-Matrix Research University of Oulu Oulu Finland Faculty of Biochemistry and Molecular Medicine University of Oulu Oulu Finland Biocenter Oulu University of Oulu Oulu Finland Molecular AI Discovery Sciences BioPharmaceuticals R&D AstraZeneca Gothenburg Sweden Division of Systems and Synthetic Biology Department of Life Sciences Chalmers University of Technology Gothenburg Sweden Research and Early Development Respiratory & Immunology BioPharmaceuticals R&D AstraZeneca Gothenburg Sweden

Vascular anomalies (VA) refer to abnormal blood or lymphatic vessel architecture, most often as a result of dysregulated growth. Venous malformations (VM), a subgroup of VAs, are triggered by activating mutations in the Angiopoietin/TIE2-PI3K/AKT/mTOr signaling pathway with TIE2 L914F (gene name TEK) being one of the most frequent mutations in patients with VMs. Although systemic targeting of the overactivated pathway is possible, it would be a therapeutic advantage to restrict treatment to only the affected lesions. To identify peptides with potential selective binding to TIE2 L914F lesions we applied in vivo phage display to TIE2 L914F-overexpressing endothelial cells (ECs) in a subcutaneous matrigel xenograft mouse model of VMs. By panning for lesion-targeting phages in combination with subcellular fractionation, a screen for cell-penetrating candidate phages was established. Employing Next Generation Sequencing (NGS) and a refined bioinformatic analysis we were able to identify many novel cell-penetrating peptides (CPPs). To pinpoint the most selective and viable CCP candidates a hierarchical clustering algorithm was utilized. This method aggregated CPPs with highly similar sequences into a small number of clusters from which consensus sequences could be derived. Selected candidate CPPs exhibited uptake in TIE2 L914F-expressing human umbilical vein endothelial cells (HUVEC) in culture and were able to deliver sirNA into these cells. In conclusion, our NGS bioinformatic-supported approach led to the identification of novel and selective CPPs capable of transporting a sirNA cargo into targeted cells. © 2024

关键词： Bioinformatic analysis Cell-penetrating peptides In vivo phage display Next generation sequencing Vascular anomalies

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Matching Analysis and Experimental Study of Mechanical Properties of Cement Sheath Interface

SSRN

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SSrN 2022年

作者： Cheng, Y.Q. Liu, S.Q. Shen, J.Y. Guo, X.L. Huang, Z. Liu, H.T. Research Institute of Petroleum Exploration & Development Beijing100089 China Cementing and Completion Research Institute CNPC Engineering Technology R&D Company Limited Beijing102206 China

Clarifying the mechanism of cement sheath interface matching and determining the cement sheath interface matching under specific downhole conditions is a fundamental and challenging requirement for accurate prediction of cement sheath integrity. The mechanical properties of the cement sheath interface, an important component of the cement sheath integrity, are the key factors affecting the damage of the cement interface. In this study, we propose a method to measure the variation of cement sheath interfacial match with the mechanical properties of the cement sheath under typical downhole conditions, including the Young's modulus of the cement sheath and the Poisson's ratio. The analysis of cement sheath interface matching was further combined with experimental methods to test the accuracy of the cement sheath interface matching method in this study and to assess the cement sheath integrity capabilities of different cement types under different operating conditions. The numerical results show that increasing the cement sheath Young's modulus as well as decreasing the Poisson's ratio without considering the downhole conditions can improve the cement sheath interface matching, but the cement sheath interface is more sensitive to the cement sheath Poisson's ratio. Laboratory measurements have shown that reducing Poisson's ratio by adding materials such as latex to cement significantly improves the cement's ability to ensure cement sheath integrity, although the Young's modulus of the cement sheath decreases in parallel with the addition of latex. Based on the results of the experimental and numerical methods, qualitative and quantitative recommendations are provided for field operations to suppress cement sheath integrity risks throughout the life cycle of the wellbore. © 2022, The Authors. All rights reserved.

关键词： Poisson ratio

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Eternal 1-security number of a fuzzy graph with level J

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International Journal of Knowledge-Based and Intelligent Engineering Systems 2024年第4期28卷 647-659页

作者： d, Mary Jiny Navamani, G. Shanmugapriya, r. Kumar, raman Stević, Željko Kumar, rajender Kumar, Sandeep Department of Mathematics Saveetha School of Engineering SIMATS Tamilnadu Chennai India Department of Mathematics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences SIMATS Tamilnadu Chennai India Department of Mathematics Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Tamil Nadu Chennai India Department of Mechanical and Production Engineering Guru Nanak Dev Engineering College Punjab Ludhiana India University of East Sarajevo Faculty of Transport and Traffic Engineering Bosnia and Herzegovina Department of Industrial and Management Engineering Korea University Seoul Korea Republic of University Centre for Research and Development University School of Business Chandigarh University Gharuan Punjab Mohali India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura India

The eternal 1-secure set, strategically protects graphical structures against attacks by placing sentinels within dominating sets. This study adapts this concept to real-world scenarios, like emergency response systems, by addressing challenges such as roadblocks and traffic congestion. We introduce the secure set and the eternal 1-secure set for fuzzy graphs based on edge membership levels J. Our analysis examines the relationship between the security number of a fuzzy graph G at level J and the domination number of its spanning subgraph at level J, demonstrating the potential of the eternal 1-secure set to enhance security measures in dynamic environments. © 2024 – IOS Press. All rights reserved.

关键词： Traffic congestion

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