检索结果-内蒙古大学图书馆

International Conference on Parallel and Distributed Systems (ICPADS)

作者： Zijie Zhong Yuhui Deng Jie Li Department of Computer Science Jinan University Guangzhou China Wuhan National Laboratory for Optoelectronics Wuhan China

The development of cloud computing leads to an exponential growth of data, which requires expanding the storage capacity to meet the storage needs, in exchange the energy consumption of the data center will also increase. Many traditional data placement schemes attempt to achieve energy consumption minimization by optimizing the distribution of data requests, however, ignoring the impact of heat recirculation in data placement. To fill this gap, we propose a heat-recirculation-aware data placement strategy called HRADP to achieve optimized data placement to data centers. Furthermore, our strategy can minimize the overall energy consumption of data centers and improve throughput. Specifically, we consider heat recirculation between data nodes by regulating the energy consumption limit of each data node. We implement this data placement strategy on a data center simulation platform, CloudSim, and compare it with two data placement strategies, TIGER and HDFS. The experimental results unveil that HRADP achieves 2.6x - 25.7x performance improvement in the same energy consumption.

关键词： Heating systems Measurement Energy consumption Data centers Cloud computing Cooling Throughput

来源：评论

学校读者我要写书评

暂无评论

Mathematical modeling of mixed convective MHD Falkner-Skan squeezed Sutterby multiphase flow with non-Fourier heat flux theory and porosity

引用

Applied Mathematics and Mechanics(English Edition) 2023年第11期44卷 2005-2018页

作者： Shuguang LI M.I.KHAN F.ALI S.S.ABDULLAEV S.SAADAOUI HABIBULLAH School of Computer Science and Technology Shandong Technology and Business UniversityYantai 264005Shandong ProvinceChina Department of Mechanics and Engineering Science Peking UniversityBeijing 100871China Department of Mechanical Engineering Lebanese American UniversityBeirut 11020Lebanon Department of Mathematical Sciences Federal Urdu University of ArtsSciences&TechnologyGulshan-e-IqbalKarachi 75300Pakistan Faculty of Chemical Engineering New Uzbekistan UniversityTashkent 100070Uzbekistan Department of Science and Innovation Tashkent State Pedagogical University named after NizamiTashkent 100070Uzbekistan Department of Physics Faculty of Science and ArtsMohayel AserKing Khalid UniversityAbha 61421Saudi Arabia State Key Laboratory of Turbulence and Complex System Collaborative Innovative Center for Advanced Aero-EnginesPeking UniversityBeijing 100871China

In a wide variety of mechanical and industrial applications,e.g.,space cooling,nuclear reactor cooling,medicinal utilizations(magnetic drug targeting),energy generation,and heat conduction in tissues,the heat transfer phenomenon is ***’s law of heat conduction has been used as the foundation for predicting the heat transfer behavior in a variety of real-world *** model’s production of a parabolic energy expression,which means that an initial disturbance would immediately affect the system under investigation,is one of its main ***,numerous researchers worked on such problem to resolve this *** last,this problem was resolved by Cattaneo by adding relaxation time for heat flux in Fourier’s law,which was defined as the time required to establish steady heat conduction once a temperature gradient is *** offered a material invariant version of Cattaneo’s model by taking into account the upper-connected derivative of the Oldroyd ***,both models are combinedly known as the Cattaneo-Christov(CC)*** this attempt,the mixed convective MHD Falkner-Skan Sutterby nanofluid flow is addressed towards a wedge surface in the presence of the variable external magnetic *** CC model is incorporated instead of Fourier’s law for the examination of heat transfer features in the energy expression.A two-phase nanofluid model is utilized for the implementation of *** nonlinear system of equations is tackled through the bvp4c technique in the MATLAB software *** influence of pertinent flow parameters is discussed and displayed through different *** and important results are summarized in the conclusion ***,in both cases of wall-through flow(i.e.,suction and injection effects),the porosity parameters increase the flow speed,and decrease the heat transport and the influence of drag forces.

关键词： sporosity Cattaneo-Christov(CC)heat flux model Falkner-Skan Sutterby nanofluid mixed convection stagnation point

来源：评论

学校读者我要写书评

暂无评论

Vehicle charging station location based on improved whale optimization algorithm

Vehicle charging station location based on improved whale op...

引用

International Conference on computer Engineering and Applications (ICCEA)

作者： Zhaodi Li Qingqing Liu Kaixuan Yu Department of Computer and Information Engineering Henan University Kaifeng China Department of Computer Science and Art Henan Light Industry Vocational College ZhengZhou China State Key Laboratory of Shield Machine and Boring Technology ZhengZhou China

ISBN: (数字)9798350386776

ISBN: (纸本)9798350386783

In order to better explore a method for solving the problem of electric vehicle charging station location planning, and improve the shortcomings of whale algorithm such as weak stability, sometimes slow convergence speed and easy to fall into local extremum, a whale optimization algorithm with quasi-opposition-based learning and enhanced search mechanism was proposed. Then, the algorithm flow is given, and the CEC2017 test function set is simulated by six representative algorithms in multiple dimensions. The results show that the convergence speed, optimization accuracy and solution stability of the improved algorithm are significantly improved, and it has good convergence performance. In order to solve the problem of electric vehicle public charging station location and service area division, an improved whale algorithm and Voronoi diagram are used to jointly solve the location planning of charging station, so as to achieve the purpose of global optimization. The application results of the last example show that the improved whale algorithm can effectively solve the charging station location problem and has superior optimization performance.

关键词： Accuracy Urban areas Whales Charging stations Search problems Whale optimization algorithms Stability analysis

来源：评论

学校读者我要写书评

暂无评论

Reinforcement of Medical Image Security Through Steganography and Encryption Techniques 3

Reinforcement of Medical Image Security Through Steganograph...

引用

3rd IEEE International Conference on Electronic Engineering, ICEEM 2023

作者： Khallaf, Fatma El-Shafai, Walid El-Rabaie, El-Sayed M. Abd El-Samie, Fathi E. Menoufia University Faculty of Electronic Engineering Department of Electronics and Communication Engineering Menouf32952 Egypt Ahram Canadian University Faculty of Engineering Department of Electrical Engineering Giza Egypt Prince Sultan University Security Engineering Laboratory Department of Computer Science Riyadh11586 Saudi Arabia

ISBN: (纸本)9798350323511

Patients' data is stored in Electronic Health Records (EHRs) for confidentiality purposes. However, the insecure networks of hospitals and clinics puts patient information at risk. To address this ethical issue, secure communication is crucial. The Digital Imaging and Communications in Medicine (DICOM) standard governs the transmission of EHRs to maintain data integrity and confidentiality. This paper combines cryptography and steganography techniques to transmit medical information and images across hospital networks, securely. The introduced framework comprises encryption of patients' data using DNA-based Advanced Encryption Standard (AES), hiding the information within images using Least Significant Bit (LSB) embedding, compressing the stego images using Discrete Wavelet Transform (DWT), and reversal of the process at the receiver end. Simulation experiments demonstrate that this framework comprising both encryption and steganography outperforms existing methods in securing the medical data. © 2023 IEEE.

关键词： Cryptography

来源：评论

学校读者我要写书评

暂无评论

Towards Fair Federated Learning via Unbiased Feature Aggregation

引用

IEEE Transactions on Dependable and Secure Computing 2025年

作者： He, Zeqing Wang, Zhibo Dong, Xiaowei Sun, Peng Ren, Ju Ren, Kui Zhejiang University State Key Laboratory of Blockchain and Data Security China Institute of Blockchain and Data Security Hangzhou310027 China Wuhan University School of Cyber Science and Engineering Wuhan430072 China Hunan University College of Computer Science and Electronic Engineering Changsha410082 China Tsinghua University Department of Computer Science and Technology Beijing100084 China Zhongguancun Laboratory Beijing100094 China

Federated learning (FL) is a distributed machine learning framework that enables multiple clients to collaboratively train models without raw data exchange. Prior studies on FL mainly focus on optimizing learning performance, enhancing privacy preservation, and improving attack resilience. However, little work studies how to mitigate the unfairness of federated trained models while unfair models would make discriminatory decisions toward certain groups or populations (e.g., favoring males over females), leading to serious ethical concerns. Thus, it is crucial to mitigate model unfairness in FL, yet challenging as this requires centralized access to each data point's fairness-sensitive information (e.g., race, gender), which is prohibited in FL. In this work, we propose a novel fair FL framework FedUFA, where the server can aggregate clients' learned knowledge in an unbiased manner, to obtain fair and high-usability federated trained models. Specifically, to unearth the bias in clients' local data and account for potentially heterogeneous local models, we propose a knowledge distillation-based FL scheme, where clients' knowledge of learned features on a public dataset is amalgamated to the server for aggregation. We train an unbiased feature mapper at the server to remove fairness-sensitive latent features and extract fair representations from clients' submitted raw features. In particular, we design an adversarial training method to train the mapper, which involves a predictor aiming to maximize the prediction accuracy on the FL task and a discriminator intending to help identify fairness-sensitive features. Extensive experiments on real-world datasets demonstrate the effectiveness of FedUFA. © 2025 IEEE. All rights reserved,

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

Comparing occlusal and cervical microleakage in class V restorations using two different nanohybrid resin composite with different insertion techniques

引用

Materials Today: Proceedings 2022年 60卷 1736-1740页

作者： Algailani, Ubaydah Alshaikhli, Lubna O. Al‑Zahawi, Abdulsalam Alzbeede, Ahmed Salomy Monica Diyya, A. Osman, Osman Department of Dentistry College of Medicine Komar University of Science and Technology Kurdistan Region Sulaymaniyah Iraq Department of Periodontics College of Dentistry University of Sulaimani Kurdistan Region Sulaymaniyah Iraq Department of Conservative College of Dentistry University of Sulaimani Kurdistan Region Sulaymaniyah Iraq Department of Medical Laboratory Science College of Science Komar University of Science and Technology Kurdistan Region Sulaymaniyah Iraq Department of Pharmacy College of Medicine Komar University of Science and Technology Kurdistan Region Sulaymaniyah Iraq Department of Computer Science College of Science Komar University of Science and Technology Kurdistan Region Sulaymaniyah Iraq

The study evaluates and compares occlusal and cervical microleakage in class V cavities restored with various techniques using two different nanohybrid composites. Sixty standardized box-shaped class V cavities preparations of 2 × 2 × 3 mm (depth, length, width) were performed on 30 teeth;each cavity has occlusal and cervical margin to be evaluated. Twelve groups were designed to be filled with a specific material (nanohybrid Filtek™ Z250 XT composite or Beautifil™ II LS Giomer) and technique (Bulk, Vertical, or Split horizontal layering technique SHLT) to compare the occlusal versus cervical microleakage. The samples were thermocycled 500 times (5 °C ± 2 °C & 55 °C ± 2 °C with 30 s dwell time) before being submerged in a 2 % buffered methylene blue solution for 24 h at 37 °C. The restorations were sectioned longitudinally in a buccolingual direction through the centers of the restoration. Then evaluated for microleakage on both occlusal and cervical margin using a stereomicroscope at x10 magnification and scored as 0, 1, 2, and 3. Resultant cervical and occlusal microleakage scores were statistically analyzed using one-way ANOVA followed by Tukey post hoc considering (p © 2021

关键词： Restoration

来源：评论

学校读者我要写书评

暂无评论

Machine Learning in the Medical Field: A Comprehensive Overview

Machine Learning in the Medical Field: A Comprehensive Overv...

引用

Decision Aid sciences and Application (DASA), International Conference on

作者： Ali Belgacem Asmaa Khoudi Fatima Boudane Ali Berrichi Computer Science Department LIMOSE Laboratory Faculty of Sciences University M'Hamed Bougara Boumerdes Algeria

Machine learning utilization in medicine has increased interest over the last few years. With its impressive results in treating diseases and medical conditions, it will be important to understand and analyze how the scientific community has used it. Thus, opening up space for new research and opportunities in medicine. The objective of this study is to review the literature on machine learning applications in the medical sector. Therefore, we conducted an extensive research by reviewing recent studies and surveys on machine-learning health solutions. As a result, we offer, in this paper, a fresh study affirming the foundations and necessities of a machine learning application in the medical field. We also provide a breakdown of current research trends, which highlights future research opportunities.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Multi-domain feature fusion for target color decoding from multichannel neural recordings of pigeons

Multi-domain feature fusion for target color decoding from m...

引用

2023 International Conference on Image, Signal Processing, and Pattern Recognition, ISPP 2023

作者： Li, Hongxun Liu, Ruiqing Niu, Xiaoke Wang, Zhizhong Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology School of Electrical Engineering Zhengzhou University Zhengzhou450001 China Department of Mechanical and Electrical Engineering Henan Light Industry Vocational College Zhengzhou450000 China

ISBN: (纸本)9781510666351

The entopallium is a high-level neural structure of the avian visual system that is related to the processing of color- and shape-related information during target recognition. The mechanism underlying it remains unclear and has drawn a considerable amount of research interest. Decoding has invariably been used in relevant studies to verify whether the extracted response-related features contain visual information. However, local field potentials (LFPs) often contain rich features. In this study, We combine the features of different domains to decode color information, including those in the time and frequency domains as well as features related to non-linear and functional network connectivity. To extract valuable response-related features, three types of feature selection methods are compared. The LFP data from the entopallium of a pigeon were recorded during periods of stimulus presentation in which two colors were randomly presented in each trial. The selected feature set was finally used to decode the colors by using several general classifiers. The results showed that the fusion of multi-domain features helped improve decoding performance, and the optimal feature set was a fusion of multiple domains of features. These results improve our understanding of the avian neural mechanisms involved in encoding color-related information. © 2023 SPIE.

关键词： Color

来源：评论

学校读者我要写书评

暂无评论

A Generic Interest-Oriented Recommender System Framework

A Generic Interest-Oriented Recommender System Framework

引用

International Conference on Artificial Intelligence and Smart Environment, ICAISE 2024

作者： Maada, Loukmane Aghoutane, Badraddine Al Fararni, Khalid Fattah, Mohammed Farhaoui, Yousef IA Laboratory Department of Computer Science Faculty of Sciences Moulay Ismail University Meknes 50070 Morocco LISAC Laboratory Department of Informatics Faculty of Sciences Dhar El Mahraz Sidi Mohamed Ben Abdellah University 1796 Fez-Atlas Fez Morocco Image Laboratory Moulay Ismail University Meknes 50070 Morocco STI Laboratory IDMS Team Faculty of Science and Technics Moulay Ismail University Meknes 50070 Morocco

ISBN: (纸本)9783031909207

This paper introduces a novel approach for extracting customer preferences from hotel reviews, in order to provide personalized recommendations. We defined a finite set of aspects that we deemed important for occupants. These aspects are then quantified and represented as a vector for each user, capturing their unique preferences. The proposed collaborative filtering system utilizes these vectors to recommend hotels that align closely with the preferences of individual users. By considering the similarity between user vectors, we can effectively match users with hotels that are likely to meet their expectations. This approach offers a more nuanced understanding of customer preferences compared to traditional rating-based systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： aspect extraction collaborative filtering customer preferences hotel reviews recommendation systems sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

Frequency Shift Baseline Removal for Improved Flow Measurement using Microwave Cavity Resonator

Frequency Shift Baseline Removal for Improved Flow Measureme...

引用

2022 IEEE International Conference on Electro Information Technology, eIT 2022

作者： Fang, Tianyang Saniie, Jafar Bakhtiari, Sasan Heifetz, Alexander Illinois Institute of Technology Ecasp Research Laboratory Department of Electrical and Computer Engineering ChicagoIL United States Nuclear Science and Engineering Division Argonne National Laboratory LemontIL United States

ISBN: (纸本)9781665480093

The flow velocity of the coolant in the high-temperature fluid advanced reactor is an important variable for reactor performance monitoring. However, due to the harsh environment inside the nuclear reactors, there are limited options for measuring flow velocities. A microwave resonant cavity-based flow sensor is a novel sensing approach that measures flow velocity through deflection of the structure due to dynamic pressure. Hollow metallic resonator offers resilience to high temperature and radiation. A key technical challenge of the microwave resonant cavity-based flow sensor is the measurement of the resonant frequency shift due to membrane displacement. This research proposes a baseline removal technique that overcomes the large baseline in the forward gain of the S21 parameter frequency sweep introduced by nonideal components in the microwave system. The signal processing technique allows locating the microwave resonances, thus enabling the enhanced measurement of flow velocities. Several smoothing filters that can remove the baseline, while preserving the resonant frequency are implemented and evaluated. This approach is then realized in the LabVIEW for an actual experiment. The experimental results show the measured frequency shifts match with theory, which indicates the proposed method provides a reliable way to measure the frequency shift for flow measurement. © 2022 IEEE.

关键词： Flow velocity

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：