检索结果-内蒙古大学图书馆

SSrN 2023年

作者： Song, Zhiwei Lu, Lin Tang, Guoqiang Lou, Xiaofan Liu, Yong State Key Laboratory of Coastal and Offshore Engineering Dalian University of Technology Dalian116024 China R&D Center of Hydro-ecology and Smart Water Technology Research Institute of Tsinghua Pearl River Delta Guangzhou510530 China Shandong Provincial Key Laboratory of Ocean Engineering Ocean University of China Qingdao266100 China

Wave-induced fluid resonance in a narrow gap between two rectangular hulls in a side-by-side arrangement is numerically investigated based on a fully nonlinear potential flow model in the time domain. In particular, we mainly focus on the nonlinearity in the piston-mode gap resonance problem. The performance of the numerical model in predicting nonlinear responses is well verified by benchmarks. The fluid mass system within the narrow gap is confirmed to be a nonlinear oscillator with hardening stiffness. Corresponding quadratic and cubic stiffness nonlinearities are theoretically derived and quantified based on the concept of the equilibrium point in the context of nonlinear dynamics. Further harmonic analysis by the Fourier transformation provides the contributions of the first-, second-, and third-order harmonics to the generations of quadratic and cubic stiffness nonlinearities. Finally, the origins of the higher-order harmonics in the nonlinear response are clarified to be the nonzero slope of the instantaneous free surface ∂η/∂x ≠ 0. © 2023, The Authors. All rights reserved.

关键词： Harmonic analysis

来源：评论

学校读者我要写书评

暂无评论

Exploring the Surface Kinetic and Electrochemical Behaviors of the Cathode Material Modified with Safety Additives in Lithium-Ion Batteries

SSRN

引用

SSrN 2024年

作者： Alemu, Tibebu Wang, Fu-Ming Kerayu, Bulti Abdisa Department of Chemistry College of Natural and Computational Science Ambo University Oromia P.O.Box. 19 Ambo Ethiopia Graduate Institute of Applied Science and Technology Taipei10607 Taiwan Sustainable Energy Center National Taiwan University of Science and Technology Taipei10607 Taiwan Department of Chemical Engineering Taoyuan32023 Taiwan R&D Center for Membrane Technology Chung Yuan Christian University Taoyuan32023 Taiwan

The safety of lithium-ion batteries (LIBs) particularly in a charged state should be greatly improved by inhibiting the oxygen evolution at electrode surface. The main objective of this study is exploring the surface kinetic and electrochemical behavior of safety additives modified LiNi0.6Co0.2Mn0.2O2 (NMC) cathode material. Two additives (Polymer A and polymer B) are synthesized for the mitigation of thermal runaway without reducing battery performance. The optical measurement reveals that polymer B enhances the generation of peak at larger resonance angle. The accretions of surface heating temperature trigger increased binding constant from 2.7x104 to 4.8x104 M-1s-1. The results demonstrated that the superior irreversible capacity of Sample B ascribed to impeding Li+ transfer because of high cross-linked polymer B whereas, polymer A possibly initiates electrochemical self-polymerization and heating temperatures. Consequently, it forms a secondary protection layer and reduced the heat released from 319 to 110 Jg-1. The soft XAS revealed that upon fully charging the batteries, the un-reacted –NH group of polymer A contributed to spectral changes in sample A. Therefore, owing to the presence of – NH group, the cathode material treated with polymer A could undergo electrochemical reactions in first cycle and form secondary protective layer improved thermal stability and electrochemical performance comparing with cathode modified with polymer B. Therefore, this study investigated the development of optimum and appropriate working conditions for the better batteries performance and its safety. © 2024, The Authors. All rights reserved.

关键词： Lithium-ion batteries

来源：评论

学校读者我要写书评

暂无评论

Organic Solvents Tuned Polymer derived-Sulfonated Microporous Carbon Structures Enable resource regeneration and recovery in Flow Capacitive deionization

SSRN

引用

SSrN 2024年

作者： Wei-Song, Hung Subrahmanya, T.M. Liang-Yan, Gua Austria, Hannah Faye M. Huang, Tsung-Han Wang, Chih-Feng Hu, Chien-Chieh Lee, Kueir-rarn Lai, Juin-Yih Advanced membrane materials research center Graduate Institute of Applied science and Technology National Taiwan University of Science and Technology Taipei10607 Taiwan Institute of Advanced Semiconductor Packaging and Testing National Sun Yat-sen University Kaohsiung804201 Taiwan R&D Center for Membrane Technology Chung Yuan University Chung-Li32023 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan32023 Taiwan

The demand for freshwater and energy in today's society is growing rapidly. Although current desalination technologies such as rO and electrodialysis are widely used, their high energy consumption remains a major challenge. Flow Capacitive deionization (FCdI), offers advantages such as low energy consumption, low pollution, electrode regeneration, and continuous operation. Herein, three different solvents induced polyacrylonitrile derived microporous carbon structures were tested as flow-electrodes. The carbon structures were sulfonated to explore their impact on desalination. Additionally, by connecting an external capacitor in different operating modes, the charging efficiency and energy recovery during the desalination process were evaluated. The PAN-C@ACE_S150 as flow-electrode exhibited lower ion transfer resistance and higher desalination efficiency. Under SCC operation mode, the average desalination rate within 30 minutes reached to 0.19 mmol/m2s, approximately 2.5 times higher than that of commercial activated carbon (0.07 mmol/m2s). In ICC mode, a charging efficiency o75.73% was achieved, successfully charging the capacitor from 0 V to 1.02 V and 0 V to 0.6 V with and without system power supply, respectively. These results demonstrated that the PAN-C@ACE_S150 can enhance the desalination capability of the system and enables harvesting electrical energy during the desalination process, achieving the regeneration of fresh water and energy. © 2024, The Authors. All rights reserved.

关键词： desalination

来源：评论

学校读者我要写书评

暂无评论

Improved Accuracy of Evaluation of Propagation Constants in the Millimeter-Wave Band with Shared Ground

Improved Accuracy of Evaluation of Propagation Constants in ...

引用

Asia-Pacific Conference on Microwave

作者： r. Sakamaki T. Yoshida S. Kon S. Amakawa I. Somada M. Fujishima Research Institute of Physical Measurement/ Groudate school of Advanced Science and Engineering AIST/Hiroshima University Tsukuba Higashi-Hiroshima Japan AIST Research Institute of Physical Measurement Tsukuba Japan Information technology R&D Center Mitsubishi Electric Corporation Kamakura Kanagawa Groudate school of Advanced Science and Engineering Hioshima University Higashi-Hiroshima Japan

ISBN: (数字)9798350363548

ISBN: (纸本)9798350363555

This paper proposes a new CMOS design technology for reducing influence of parasitic impedance among test element groups (TEGs). A unit cell of the proposed shared-ground metal fill was designed considering to meet the metal density rule. The unit cell was spread over on the chip area for replacing conventional dummy fills. The proposed metal fill can improve confinement of electro-magnetic (EM) field into a grounded-coplanar wave guide (GCPW) according to EM simulation results. This indicates that the proposed metal fill can reduce influence of EM coupling among surrounding structures of each TEG. Consequently, accuracy in evaluation of propagation constant was improved by adopting the proposed shared-ground metal fill.

关键词： Couplings Accuracy Simulation Millimeter wave technology Metals Millimeter wave propagation CMOS technology Propagation constant Impedance Microwave propagation

来源：评论

学校读者我要写书评

暂无评论

Investigating Personalized driving Behaviors in dilemma Zones: Analysis and Prediction of Stop-or-Go decisions

arXiv

引用

arXiv 2024年

作者： Qin, Ziye Li, Siyan Wu, Guoyuan Barth, Matthew J. Abdelraouf, Amr Gupta, rohit Han, Kyungtae The Bourns College of Engineering Center for Environmental Research and Technology University of California at Riverside RiversideCA92507 United States The School of Transportation and Logistics Southwest Jiaotong University Sichuan Chengdu China The Toyota Motor North America R&D InfoTech Labs Mountain ViewCA94043 United States

dilemma zones at signalized intersections present a commonly occurring but unsolved challenge for both drivers and traffic operators. Onsets of the yellow lights prompt varied responses from different drivers: some may brake abruptly, compromising the ride comfort, while others may accelerate, increasing the risk of red-light violations and potential safety hazards. Such diversity in drivers’ stop-or-go decisions may result from not only surrounding traffic conditions, but also personalized driving behaviors. To this end, identifying personalized driving behaviors and integrating them into advanced driver assistance systems (AdAS) to mitigate the dilemma zone problem presents an intriguing scientific question. In this study, we employ a game engine-based (i.e., CArLA-enabled) driving simulator to collect high-resolution vehicle trajectories, incoming traffic signal phase and timing information, and stop-or-go decisions from four subject drivers in various scenarios. This approach allows us to analyze personalized driving behaviors in dilemma zones and develop a Personalized Transformer Encoder to predict individual drivers’ stop-or-go decisions. The results show that the Personalized Transformer Encoder improves the accuracy of predicting driver decision-making in the dilemma zone by 3.7% to 12.6% compared to the Generic Transformer Encoder, and by 16.8% to 21.6% over the binary logistic regression model. Copyright © 2024, The Authors. All rights reserved.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Study of Electrokinetic-Enhanced Alkaline Leaching Behavior of Uranium from Sandstone-Type Uranium Ores

SSRN

引用

SSrN 2024年

作者： Li, Chunguang Li, rubin Liu, Zhenzhong Li, Yongmei Huang, Zixian Chen, rukang Liu, Longcheng School of Resource Environment and Safety Engineering University of South China Hengyang421001 China R&D Center of Radioactive Waste Treatment Disposal and Modeling University of South China Hengyang421001 China China Institute of Atomic Energy Beijing102413 China Department of Chemical Engineering KTH Royal Institute of Technology StockholmS-100 44 Sweden

Nuclear energy, as a sustainable and environmentally friendly source of power, plays a pivotal role in global energy provision. To address the challenges associated with low permeability and plugging that are difficult to overcome for conventional alkaline leaching, this study proposes an innovative approach: electrokinetic-enhanced alkaline leaching of uranium from sandstone-type ores. The optimal concentration of the leaching agent was determined through shake flask tests. We compared the effects of the electric potential gradient, intermittent electric field/stable electric field, and oxidizer concentration on the uranium leaching efficiency when employing electrokinetic enhancement during alkaline leaching. results showed that an optimal potential gradient of 1.25 V/cm increased short-term uranium leaching rate by 3.2 times compared to conventional ISL methods alone. Both intermittent and stable electric fields enhanced uranium leaching efficiency similarly, but intermittent electric fields consumed less energy while gradually inducing electrooxidation effects in later stages. Leaching minerals were characterized to understand their dissolution behavior. COMSOL software was used to simulate the migration of uranyl ions under an electric field. results demonstrated that electrokinetic action could enhance gangue mineral migration after dissolution, increase mineral surface porosity, and reduce resedimentation and clogging phenomena. © 2024, The Authors. All rights reserved.

关键词： Sandstone

来源：评论

学校读者我要写书评

暂无评论

PUBLISHING NEUrAL NETWOrKS IN drUG dISCOVErY MIGHT COMPrOMISE TrAINING dATA PrIVACY

arXiv

引用

arXiv 2024年

作者： Krüger, Fabian P. Östman, Johan Mervin, Lewis Tetko, Igor V. Engkvist, Ola AstraZeneca R&D Discovery Sciences Molecular AI Mölndal431 83 Sweden Technical University of Munich TUM School of Computation Information and Technology Department of Mathematics Munich80333 Germany Helmholtz Munich Molecular Targets and Therapeutics Center Institute of Structural Biology Neuherberg85764 Germany AI Sweden Gothenburg41756 Sweden AstraZeneca R&D Discovery Sciences Molecular AI CambridgeCB2 0AA United Kingdom Chalmers University of Technology Department of Computer Science and Engineering Gothenburg412 96 Sweden

This study investigates the risks of exposing confidential chemical structures when machine learning models trained on these structures are made publicly available. We use membership inference attacks, a common method to assess privacy that is largely unexplored in the context of drug discovery, to examine neural networks for molecular property prediction in a black-box setting. Our results reveal significant privacy risks across all evaluated datasets and neural network architectures. Combining multiple attacks increases these risks. Molecules from minority classes, often the most valuable in drug discovery, are particularly vulnerable. We also found that representing molecules as graphs and using message-passing neural networks may mitigate these risks. We provide a framework to assess privacy risks of classification models and molecular representations. Our findings highlight the need for careful consideration when sharing neural networks trained on proprietary chemical structures, informing organisations and researchers about the trade-offs between data confidentiality and model openness. Copyright © 2024, The Authors. All rights reserved.

关键词： differential privacy

来源：评论

学校读者我要写书评

暂无评论

Applying a Machine Learning Framework to Improve the Efficacy of Network Intrusion detection Systems

Applying a Machine Learning Framework to Improve the Efficac...

引用

International Conference on Emerging Trends in Networks and Computer Communications (ETNCC)

作者： Abdullah Anil Kumar Kadim A. Jabbar Mohammed Yousif Oudah Abdul Azeem Khan rajan Verma University Institute of Computing Chandigarh University Punjab India Department of CS & Engineering SRM University Lucknow India College of Technical Engineering National University of Science and Technology Dhi Qar Iraq Scientific Research Center Al-Ayen University Thi-Qar Iraq Faculty of Islamic Technology Negara Darussalam Brunei Division of R&D Lovely Professional University Phagwara KKR and KSR Institute of Technology and Sciences Guntur Andhra Pradesh

ISBN: (数字)9798350353266

ISBN: (纸本)9798350353273

Intrusion detection Systems (IdS) play a vital role in spotting aberrant traffic and analyzing large amounts of data, especially during distributed denial of Service (ddoS) assaults. To ensure an IdS operates at peak performance, a reliable traffic classification approach is required. The objective of this research is to identify the most effective machine learning technique for enhancing system accuracy from the three available options: Support Vector Machine (SVM), decision Jungle (dJ), and random Forest (rF). reducing the number of false alarms while increasing the number of correct ones is the goal. The primary objectives of this research are to create a machine learning model for a network intrusion detection system and to evaluate the performance of three algorithms in detecting suspicious network activities. As a standard for assessing IdSs, the study uses the Intrusion detection Evaluation dataset in conjunction with the Kdd approach. The SVM outperforms dJ (96.50%) and rF (96.76%) with an average accuracy of 98.18%. Similarly, SVM surpasses rF with a precision of 97.96% and dJ with a precision of 97.82%, achieving an average precision of 98.74%. rF outperforms SVM (95.63%) and dJ (95.77%) in terms of average recall, with the highest value of 97.62%. Ultimately, the SVM algorithm has the highest level of performance in the system for detecting intrusions.

关键词： Support vector machines radio frequency Accuracy Machine learning algorithms Network intrusion detection Vectors Classification algorithms reliability Computer crime Standards

来源：评论

学校读者我要写书评

暂无评论

Hologram clinical system for standardization of brain computer interface 13

Hologram clinical system for standardization of brain comput...

引用

13th International Conference on Information and Communication technology Convergence, ICTC 2022

作者： Kim, Minchan Kim, Kwang Gi Yoon, Kicheol Lee, Sangyun College of Medicine National Cheng Kung University Department School of Medicine Tainan City704 Taiwan Gachon University Department of Health Sciences and Technology Incheon21936 Korea Republic of University Gil Medical Center College of Medicine Gachon University Medical Devices R&d Center Gachon Incheon21565 Korea Republic of Gachon University College of Medicine Department of Biomedical Engineering Incheon21565 Korea Republic of

ISBN: (数字)9781665499392

ISBN: (纸本)9781665499392

This paper proposes the design of a 3d-b ased holographic imaging system for smooth commu nication between patients with brain disease and doc tors and considers recommendations for establishing domestic and international standardization. A patient who can communicate verbally discusses the hologram of 3d imaging that can be understood because it is impossible to understand the diagnosis result and considers it to enable smooth communication with the doctor. A patient with speech impairment discus ses ways to facilitate communication with the doctor through a computer. Therefore, it is expected that this technology will contribute to the establishment of domestic and international standardization projects (SC43). © 2022 IEEE.

关键词： diagnosis

来源：评论

学校读者我要写书评

暂无评论

Zwitterionic Gradient double-Network Hydrogel Membranes with Superior Biofouling resistance for Sustainable Osmotic Energy Harvesting

引用

Advanced Functional Materials 2023年第19期33卷

作者： Huang, Kang-Ting Hung, Wen-Hsin Su, Yu-Chun Tang, Fu-Cheng Linh, Lam dieu Huang, Chun-Jen Yeh, Li-Hsien Department of Chemical Engineering National Taiwan University of Science and Technology Taipei10607 Taiwan Department of Chemical and Materials Engineering NCU-Covestro Research Center National Central University Taoyuan32001 Taiwan Department of Biomedical Sciences and Engineering National Central University Taoyuan32001 Taiwan R&D Center for Membrane Technology Chung Yuan Christian University Chung-Li32023 Taiwan Center of Automation and Control National Taiwan University of Science and Technology Taipei10607 Taiwan

developing ion-selective membranes with anti-biofouling property and biocompatibility is highly crucial in harvesting osmotic energy in natural environments and for future biomimetic applications. However, the exploration of membranes with these properties in osmotic energy conversion remain largely unaddressed. Herein, a tough zwitterionic gradient double-network hydrogel membrane (ZGdHM) with excellent biofouling resistance and cytocompatibility for sustainable osmotic energy harvesting is demonstrated. The ZGdHM, composed of negatively charged 2-acrylamido-2-methylpropanesulfonic acid (AMPS) as the first scaffold network and zwitterionic sulfobetaine acrylamide (SBAA) as the second network, is prepared by a two-step photopolymerization, thus creating continuous gradient double-network nanoarchitecture and then remarkably enhanced mechanical properties. As verified by the experiments and simulations, the gradient nanoarchitecture endows the hydrogel membrane with apparent ionic diode effect and space-charge-governed transport property, thus facilitating directional ion transport. Consequently, the ZGdHM can achieve a power density of 5.44 W m−2 by mixing artificial seawater and river water, surpassing the commercial benchmark. Most importantly, the output power can be promoted to an unprecedented value of 49.6 W m−2 at the mixing of salt-lake water and river water, nearly doubling up most of the existing nanofluidic membranes. This study paves a new avenue toward developing ultrahigh-performance osmotic energy harvesters for biomimetic applications. © 2023 Wiley-VCH GmbH.

关键词： Energy harvesting

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：