检索结果-内蒙古大学图书馆

7th IEEE Eurasian Conference on Educational Innovation, ECEI 2024

作者： Chen, Cheng-Chieh Wang, Fu-Wei Tseng, Tzu-Yi Hsu, Ting-Wei Lin, Shang-Hsien Wang, Qi-Tai National Chung-Shan Institute of Science and Technology Systems Development Center Taoyuan Taiwan National Formosa University Department of Electrical Engineering Yunlin Taiwan

ISBN: (纸本)9798350307207

Very Large Scale Integrated Circuit (VLSI) design is important in digital signal processing, microprocessors, and artificial intelligence (AI). However, the intricate and extensive design processes involved in VLSI are challenges for novices, often deterring them in this field. Thus, we created a concise and accessible VLSI design and a verification platform to convert the LCD interface following the I2C protocol. The platform allows for circuit analysis, design, simulation, verification, and physical testing to assist designers in comprehending the complexities of VLSI design and development upon reading this article. © 2024 IEEE.

关键词： Field programmable gate arrays (FPGA)

来源：评论

学校读者我要写书评

暂无评论

Classifying Anticancer Peptides Using Gated Recurrent Unit 7

Classifying Anticancer Peptides Using Gated Recurrent Unit

引用

7th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2023

作者： Karakaya, Onur Kilimci, Zeynep Hilal Research and Development Inc Turkcell Technology Istanbul Turkey Kocaeli University Department of Information Systems Engineering Kocaeli Turkey

ISBN: (纸本)9798350342154

Anticancer peptides (ACPs) represent a class of peptidic compounds with promising antineoplastic properties. The utilization of ACPs in the realm of cancer prevention offers a potential alternative to conventional oncological interventions, primarily due to their heightened selectivity and improved safety profile. Recent advancements in scientific research have ignited enthusiasm for peptide-based therapeutic modalities, largely due to their exceptional discriminatory abilities. These therapeutic strategies offer a distinct advantage by precisely and effectively targeting malignant cells while preserving the integrity of normal cellular components. Nevertheless, the exponential growth in available peptide sequences has posed a significant challenge, the development of a robust and precise predictive framework. In this work, we present an effective model designed for the classification of anticancer peptides. For this purpose, support vector machines (SVMs), naive Bayes (NB), recurrent neural networks (RNNs), and gated recurrent unit (GRU) are evaluated. In an effort to elucidate the merits of our study, an extensive series of experiments has been systematically conducted. The datasets utilized in these investigations have been deliberately chosen from the well-established ENNACT, ENNAACT+A, ENNAACT+B, and ACP740 datasets. The experiment results show that the best classification accuracies are performed by GRU for the ENNACT dataset with 90.28%, by RNN with 91.44% for the ENNACT+A dataset, by RNN with 91.76% for ENNNACT+B dataset, and by GRU wit 97.12% for ACP740 dataset. © 2023 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Actualizing the affordances of seaport smart container terminal system in a developing country

引用

Journal of Information technology Case and Application Research 2023年第4期25卷 339-367页

作者： Owusu-Oware, Emmanuel Effah, John Adam, Ibrahim Osman Amankwah-Sarfo, Fred Department of Information Technology Studies University of Professional Studies Accra Ghana Department of Operations and Management Information Systems University of Ghana Legon Ghana Department of Accounting University of Development Studies Tamale Ghana Department of Information Technology and Systems Ghana Communication Technology University Tesano Ghana

Transportation by sea routes and seaport container terminals are critical infrastructure that facilitates global trade. Thus, the emerging information systems research on smart container systems is essential. However, these studies lack empirical insights, and there is little on developing country contexts. To address these knowledge gaps, this study employs qualitative interpretive case study approach and technology affordance and constraint theory to investigate how Ghana’s port authority replaced a predominantly paper-based container handling system with smart systems, as well as the consequences of doing so. The study’s findings show that technology affordances are actualized in a developing country seaport smart container system based on management’s perception of the system and the port’s situational context. The study’s findings show significant improvements over the manual paper processes, along with constraints including stakeholder digital unpreparedness, limited data storage capacity, unreliable internet and power supply disruptions, and equipment breakdowns. The findings have implications for research, practice, and policy. © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Proposed numerical and machine learning models for fiber-reinforced polymer concrete-steel hollow and solid elliptical columns

引用

Frontiers of Structural and Civil Engineering 2024年第8期18卷 1169-1194页

作者： Tang QIONG Ishan JHA Alireza BAHRAMI Haytham F.ISLEEM Rakesh KUMAR Pijush SAMUI School of Applied Technologies Qujing Normal UniversityQujing 655011China Department of Civil Engineering Indian Institute of Technology-BHUVaranasi 221005India Department of Building Engineering Energy Systems and Sustainability ScienceFaculty of Engineering and Sustainable DevelopmentUniversity of GävleGävle 80176Sweden Department of Civil Engineering National Institute of Technology-PatnaPatna 800005India

This study employs a hybrid approach,integrating finite element method(FEM)simulations with machine learning(ML)techniques to investigate the structural performance of double-skin tubular columns(DSTCs)reinforced with glass fiber-reinforced polymer(GFRP).The investigation involves a comprehensive examination of critical parameters,including aspect ratio,concrete strength,number of GFRP confinement layers,and dimensions of steel tubes used in DSTCs,through comparative analyses and parametric *** ensure the credibility of the findings,the results are rigorously validated against experimental data,establishing the precision and trustworthiness of the *** present research work examines the use of the columns with elliptical cross-sections and contributes valuable insights into the application of FEM and ML in the design and evaluation of structural systems within the field of structural engineering.

关键词： elliptical column fiber-reinforced polymer machine learning finite element method ABAQUS

来源：评论

学校读者我要写书评

暂无评论

Band Structure Characteristics of Two-Dimensional Si-A (Ge, Pb, Sn) Alloy-Air Holes Thermal Crystals

引用

Journal of Shanghai Jiaotong university(Science) 2023年第2期28卷 180-185页

作者： AZKA Umar 姜淳 KHUSHIK Muhammad Hanif Ahmed Khan Key State Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong UniversityShanghai 200240China Department of Electronics Engineering Technology Benazir Bhutto Shaheed University of Technology and Skill DevelopmentKhairpur Mirs 66020SindhPakistan

This paper designs the thermal crystals composed of alloy materials with air holes and analyzes their properties of band structures,heat transmission,and flux *** crystals composed of Si-A(A=Ge,Sn,Pb)alloys as background materials and air holes with square array are used to construct an elastic-constant periodic structure and their high-frequency phononic band is calculated by deploying finite element ***,this paper investigates heat transmission through a finite array of thermally excited phonons and presents the thermal crystal with maximum heat *** results show that a wider bandgap could be achieved by increasing the air hole radius and decreasing the lattice *** the alloy materials,with increasing atomic radius and thus atomic mass(Ge,Sn,Pb),the frequency range(contributed to thermal conductivity)shifts towards lower ***,the bandgap frequencies also shift toward low frequency,but this decreasing rate is not constant or in order,so former may have a faster or slower decreasing rate than the ***,the frequency range for the contribution of heat transportation overlaps with the bandgap frequency *** development of thermal crystals is promising for managing heat and controlling the propagation of the thermal wave.

关键词： thermal crystals phonons finite element method band structure periodic structure lattice constant

来源：评论

学校读者我要写书评

暂无评论

Velocity Estimation of an Underwater Vehicle Using Doppler Shift of Positioning Signals

Velocity Estimation of an Underwater Vehicle Using Doppler S...

引用

2025 IEEE Underwater technology, UT 2025

作者： Tsuchiya, Atsushi Ebihara, Tadashi Wakatsuki, Naoto Yoshihara, Tohru University of Tsukuba Graduate School of Science and Technology Tsukuba Japan University of Tsukuba Institute of Systems and Information Engineering Tsukuba Japan Aomi Construction Co. Ltd. Technology Development Department Tokyo Japan

ISBN: (纸本)9798331534189

This paper proposes a method for estimating the moving velocity of underwater vehicles by utilizing the Doppler shift in positioning signals employed for time-of-arrival (ToA) acoustic positioning. The Doppler shift generated in the received signal was measured by resampling, and the moving velocity in global coordinates was estimated by finding the least-squares solution using the Doppler shift generated in the direct wave and the position measured by ToA positioning. Field experiments conducted in a real marine environment demonstrated the feasibility and effectiveness of the proposed velocity estimation method. © 2025 IEEE.

关键词： Underwater acoustics

来源：评论

学校读者我要写书评

暂无评论

Cross-city insights on sustainable consumption:consistency and disparities in willingness to buy and pay for green air conditioners

引用

Frontiers of Environmental Science & Engineering 2025年第4期19卷 169-185页

作者： Jiachao Ke Shujie Zhao Yaozhong Guo Qingbin Song Ni Sheng Jinhui Li National Observation and Research Station of Coastal Ecological Environments in Macao Macao Environmental Research Institute Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao SAR 999078China Macao Institute of Systems Engineering Macao University of Science and TechnologyMacao SAR 999078China 3.School of EnvironmentTsinghua UniversityBeijing 100084China The Institute for Sustainable Development Macao University of Science and TechnologyMacao SAR 999078China School of Business Macao University of Science and TechnologyMacao SAR 999078China

The intensification of climate change action has made air conditioners a key target for emission *** study examines the factors influencing residents’willingness to buy(WTB)and willingness to pay(WTP)for green air conditioners across six cities in the Pearl River Delta(PRD)region,aiming to understand consumer behavior and inform targeted market *** a novel Contingent Valuation Method(CVM),this study surveyed 1732 residents through online and face-to-face *** logistic and ordered logistic regression analyses identified key factors affecting WTB and WTP,including gender,income,education,knowledge of green air conditioners,and confidence in their emission reduction ***,the study reveals significant regional disparities in WTP and payment amounts through the Kruskal-Wallis H and Mann-Whitney U *** results also highlight Shenzhen has significant difference and highest payment value than other *** findings provide valuable insights into regional disparities and common factors in green consumption,offering guidance for market strategies and policy development aimed at promoting green air conditioners.

关键词： Contingent valuation method Green air conditioners WTB and WTP Influence factors Consistency and difference

来源：评论

学校读者我要写书评

暂无评论

RSscore:Reaction superiority learned from reaction mapping hypergraph

引用

Chinese Journal of Chemical Engineering 2024年第10期74卷 203-215页

作者： Chenyang Xu Lijuan Guo Kang Zhou Hai Yu Chaoliang Wei Fengqi Fan Lei Zhang State Key Laboratory of Fine Chemicals Frontiers Science Center for Smart Materials Oriented Chemical EngineeringInstitute of Chemical Process Systems EngineeringSchool of Chemical EngineeringDalian University of TechnologyDalian 116024China PetroChina Lanzhou Lubricating Oil Research&Development Institute Lanzhou 730060China

The selection of chemical reactions is directly related to the quality of synthesis pathways,so a reasonable reaction evaluation metric plays a crucial role in the design and planning of synthesis *** reaction conditions also need to be considered in synthesis pathway design,a reaction metric that combines reaction time,temperature,and yield is required for chemical reactions of different reaction *** this study,a chemical reaction graph descriptor which includes the atom-atom mapping relationship is proposed to effectively describe ***,through pre-training using graph contrastive learning and fine-tuning through supervised learning,we establish a model for generating the probability of reaction superiority(RSscore).Finally,to validate the effectiveness of the current evaluation index,RSscore is applied in two applications,namely reaction evaluation and synthesis routes analysis,which proves that the RSscore provides an important agents-considered evaluation criterion for computer-aided synthesis planning(CASP).

关键词： Computer-aided synthesis planning Neural networks Reaction evaluation indicator Reaction graph Graph contractive learning

来源：评论

学校读者我要写书评

暂无评论

Characterization analysis of intake device for Atmosphere-Breathing Electric propulsion

Characterization analysis of intake device for Atmosphere-Br...

引用

AIAA Science and technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Yi, Minwoo Choi, Hyunjin Park, Kangmin Moon, Geonwoong Park, Insang Huh, Songhyun Jun, Eunji Satellite Systems PMO Agency for Defense Development Daejeon34186 Korea Republic of Department of Aerospace Engineering Korea Advanced Institute of Science and Technology Daejeon34141 Korea Republic of

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

The atmosphere-breathing electric propulsion (ABEP) system aims to utilize the residual atmosphere in very-low-Earth-orbit (VLEO) as a propellant to overcome the drag force experienced by spacecraft. In this study, there are several numerically dedicated results for characterizing the intake performance of the ABEP system by examining various geometric parameters and gas-surface interaction (GSI) models. The study investigates the impact of some different designs on capture efficiency, compression ratio, particle flow rate, and number density, which are important factors in understanding intake performance characteristics. The direct simulation Monte Carlo method to simulate and characterize intake performance under various conditions is utilized. This study provides valuable insights into optimizing the intake device for ABEP systems operating in VLEO conditions, considering various design parameters and environmental factors to analyze the performance of intake device. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Orbits

来源：评论

学校读者我要写书评

暂无评论

Hypersonic Vehicle Maneuver Trajectory Multi-label Classification Based on Seq2Seq Model

Hypersonic Vehicle Maneuver Trajectory Multi-label Classific...

引用

International Conference on Guidance, Navigation and Control, ICGNC 2024

作者： Lin, Yulong Chen, Haipeng Zhuang, Xuebin Zeng, Kun School of Systems Science and Engineering Sun Yat-Sen University Guangzhou510275 China Research and Development Center China Academy of Launch Vehicle Technology Beijing100076 China

ISBN: (纸本)9789819622313

Aiming at the complex maneuver modes of hypersonic vehicle which are difficult to classify in practical applications, this paper proposes a Sequence-to-Sequence (Seq2Seq) multi-label classification model based on Dual channels Convolutional Neural Network and attention LSTM (DCNN-LSTM) encoder and LSTM decoder. Trajectory data is represented by the multi-label sequence, local and global spatial features of the sequence are extracted using the dual channels convolution structure, and temporal features are extracted using the attention LSTM layer of the encoder. The LSTM decoder is used to generate the multi-label sequence corresponding to the trajectory data. The experimental findings demonstrate that DCNN-LSTM outperforms other deep learning encoder networks in terms of classification performance. In addition, the optimal network structure parameters are determined by analyzing the impact of various parameters on the classification performance. The accuracy of label classification is tested to be more than 85%, which meets the requirements of hypersonic vehicle trajectory classification with complex maneuver modes. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Convolutional neural networks

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：