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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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A Novel Fourble Land rig and its Application in Ultra deep Well drilling

A Novel Fourble Land Rig and its Application in Ultra Deep W...

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2021 International Petroleum technology Conference, IPTC 2021

作者： Chen, Peng Wang, Junjie ding, Mingming Yang, Xiuying Zhou, Tuo Zhong, Zhao CNPC Engineering Technology R&D Co. Ltd. China CNPC Chuanqing Drilling Engineering Co. Ltd China China National Oil and Gas Exploration and Development Co. Ltd. China

ISBN: (纸本)9781613997314

A traditional land rig uses tribble in drilling operation. A novel fourble land rig using four joints as a unit has been researched and developed in order to promote operational efficiency in ultra deep well drilling. design, overall plan and crucial techniques as well as the field application result of the fourble drilling rig are presented in this paper. The fourble land drilling rig was studied based on the conventional tribble rig which utilizes three joints as a unit or a tribble. However, the novel rig adopts four joints as a unit or a fourble. Therefore, the improvement of the drilling operational efficiency could be realized by extending the length of the stand, reducing trip time and frequency, and increasing the high speed operational time of the travelling block. The extra high derrick design, fourble handling and drum roping techniques of the 9000m fourble land rig were researched. The fourble land drilling rig with nominal drilling depth of 9, 000m was designed and manufactured. The heights of the derrick and racking platform of the fouble rig were increased. The rig is able to run in hole and pull out of hole the fourble united by four joints. The high speed tripping distance gets longer, and the setback capacity gets increased. Ultra deep well drilling in the piedmont zone of Tarim basin in Xinjiang, China showed the reliable integral performance and substantial enhancement of drilling speed. The average drilling time using the fourble rig could be 15%-30% decreased as compared to that of the traditional tribble rig. The cycle of drilling would be cut down and cost of drilling would be reduced for ultra deep wells by means of the fourble rig. Oil and gas reservoirs were deep buried in depths of 7, 000m-9, 000m in the submountain area of Tarim basin where the ultra deep wells drilling are increasingly growing. The novel fourble land rig was developed in high demand of efficient drilling of ultra deep wells. It filled the gap of China's drilling rig ser

关键词： Infill drilling

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Fault detection in Solar Power System with Internet of Things using Multi resolution Sinusoidal Neural Network - Snow Geese Optimization Approach 4

Fault Detection in Solar Power System with Internet of Thing...

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4th International Conference on Sustainable Expert Systems, ICSES 2024

作者： Kumar, Pramod Purushothaman, K.E. Arunmozhi, r.V. Jayachitra, S. rani, d. Leela Kaliappan, S. Ganga Institute of Technology and Management Department of Computer Science and Engineering Haryana Kablana124001 India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Electronics and Communication Engineering Avadi Tamil Nadu Chennai600062 India Karpagam Academy of Higher Education Department of Electrical and Electronic Engineering Tamil Nadu Coimbatore641021 India S.A. Engineering College Department of Chemistry Tamil Nadu Chennai600077 India Department of Electronics and Communication Engineering Andhra Pradesh Tirupati517102 India Lovely Professional University Division of Research and Development Delhi Punjab Jalandhar144411 India

ISBN: (纸本)9798331540364

Fault detection in power systems, including Photovoltaic (PV) systems, using Internet of Things (IoT) involves deploying sensors to monitor key parameters and analyzing the data identify anomalies. The accuracy of these systems can be compromised by issues such as noisy or low-quality sensor data, which may lead to false positives or missed faults. Additionally, the complexity of managing large volumes of data from numerous IoT devices can strain the system, further affecting detection accuracy. To overcome these drawbacks, this paper proposes an efficient approach for fault uncovering in solar power system grounded on IoT. The data are collected from solar power generation dataset. Subsequently, the data are nourished to preprocessing. In preprocessing segment removes the absent values in the data utilizing reverse Lognormal Kalman Filter (rLKF). The consequence after the preprocessing data is transported to the Multiresolution Sinusoidal Neural Network (MSNN). The line-line faults, ground faults, line-ground faults and partial shading are successfully predicted and classified by using MSNN. The Snow Geese Optimization (SGO) is rummage-sale to optimize the weight structure of MSNN. The projected MSNN-SGO is utilized within the MATLAB platform. Performance metrics counting precision, accuracy, root Mean Squared Error (rMSE), F1-score, and Mean Squared Error (MSE) were examined in order to determine the proposed method. The proposed dAGCN-COA technique yields 14.89%, 16.89%, and 18.23% higher precision, 16.65%, 18.85%, and 17.89% higher accuracy, 22.36%, 15.42% and 28.27% lower rMSE when analysed the existing methods. The proposed MSNN-SGO technique is associated with the existing methods for instance spatial-temporal recurrent graph neural network (STrGNN), convolutional neural network (CNN), and long short-term memory network (LSTMN), respectively. © 2024 IEEE.

关键词： Mean square error

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Effect and Mechanism of Mo on Aging Precipitation and Corrosion Behavior of Σ Phase in Super Austenitic Stainless Steel

SSRN

引用

SSrN 2023年

作者： Hu, Qunkun du, Huayun Hou, Lifeng Wei, Yingwei Liu, Xiaoda Wei, Huan Wang, Qian Department of Materials Science and Engineering Taiyuan University of Technology Taiyuan030024 China Aluminum-Magnesium Based New Material R&D Co. Ltd. Xing Xian County Economic and Technological Development Zone Lvliang035300 China

Combining microstructure characterization and electrochemical corrosion, the influence of σ phase precipitation behavior and Mo element corrosion resistance of three super austenitic stainless steels, 904L, 254SMo and AL-6XN, was discussed. The increase of Mo element content will significantly increase the precipitation of σ phase, expand the Cr-poor and Mo-poor regions, and enhance the tendency of intergranular corrosion after aging. In addition, the increase of Mo element content will significantly improve the performance of the surface passivation film, but it does not prevent the occurrence of intergranular corrosion due to the increase of the precipitation tendency of the σ phase. © 2023, The Authors. All rights reserved.

关键词： Intergranular corrosion

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