检索结果-内蒙古大学图书馆

IEEE Conference on Decision and Control

作者： Dinesh Krishnamoorthy Vyacheslav Kungurtsev Harvard John A. Paulson School of Engineering and Applied Sciences Allston MA 02134 Department of Computer Science Czech Technical University Prague Czech Republic

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

Alternating Directions Method of Multipliers (ADMM) is a form of decomposition-coordination method that typically requires several iterations/communication rounds between the subproblems and the master problem to converge. Repeatedly solving the subproblems over several iterations add to the total computation time. Noting that the subproblems solved from one iteration to the next differs only by a few variables, this paper proposes a novel sensitivity-assisted ADMM framework for nonlinear programming (NLP) problems, where the subproblems are cheaply approximated using the parametric sensitivities. By exploiting the parametric sensitivities, the computation of the subproblems can be reduced to a single linear solve instead of solving the full NLP problem, thereby reducing the overall computation cost. Different algorithmic variations are discussed and demonstrated using two numerical examples.

关键词： Sensitivity Costs Programming Approximation algorithms Convex functions Real-time systems Computational efficiency

来源：评论

学校读者我要写书评

暂无评论

Vaccine efficacy and SARS-CoV-2 control in California and *** the session 2020e2026:A modeling study

引用

Infectious Disease Modelling 2022年第1期7卷 62-81页

作者： Md Shahriar Mahmud Md Kamrujjaman Md Mashih Ibn Yasin Adan Md Alamgir Hossain Md Mizanur Rahman Md Shahidul Islam Muhammad Mohebujjaman Md Mamun Molla Department of Computer Science and Engineering State University of BangladeshDhaka1205Bangladesh Department of Mathematics University of DhakaDhaka1000Bangladesh Department of Mathematics and Statistics University of CalgaryCalgaryABCanada Computational Biology Research Lab(CBRL) Department of PharmacyJagannath UniversityDhaka1100Bangladesh Hitotsubashi Institute for Advanced Study Hitotsubashi UniversityNaka KunitachiTokyo186-8601Japan Department of Mathematics and Physics Texas A&M International UniversityLaredoTX78041USA Department of Mathematics&Physics North South UniversityDhaka1229Bangladesh Center for Applied Scientific Computing(CASC) North South UniversityDhaka1229Bangladesh

Background:Besides maintaining health precautions,vaccination has been the only prevention from SARS-CoV-2,though no clinically proved 100%effective vaccine has been developed till *** this stage,to withhold the debris of this pandemic-experts need to know the impact of the vaccine efficacy rates,the threshold level of vaccine effectiveness and how long this pandemic may extent with vaccines that have different efficacy *** this article,a mathematical model study has been done on the importance of vaccination and vaccine efficiency rate during an ongoing ***:We simulated a five compartment mathematical model to analyze the pandemic scenario in both California,and whole *** considered four vaccines,Pfizer(95%),Moderna(94%),AstraZeneca(79%),and Johnson&Johnson(72%),which are being used rigorously to control the SARS-CoV-2 pandemic,in addition with two special cases:a vaccine with 100%efficacy rate and no vaccine under ***-CoV-2 related data of California,and *** used in this ***:Both the infection and death rates are very high in *** model suggests that the pandemic situation in California will be under control in the last quartile of the year 2023 if vaccination program is continued with the Pfizer *** this time,six waves may happen from the beginning of the immunization where the case fatality and recovery rates will be 1.697%and 98.30%,***,according to the considered model,this period might be extended to the mid of 2024 when vaccines with lower efficacy rates are *** the other hand,the daily cases and deaths in the *** be under control at the end of 2026 with multiple *** the number of susceptible people will fall down to none in the beginning of 2027,there is less chance to stop the vaccination program if vaccinated with a vaccine other than a 100%effective vaccine or Pfizer,and at that case vaccination program must run till the mid of *** to this s

关键词： Vaccine Model California Control measurement SARS-CoV-2

来源：评论

学校读者我要写书评

暂无评论

Received Signal Strength Prediction Using Generative Adversarial Networks for Indoor Localization

Received Signal Strength Prediction Using Generative Adversa...

引用

Progress in Electromagnetic Research Symposium (PIERS)

作者： Haochang Wu Hao Qin Siteng Ma Hans-Dieter Lang Xingqi Zhang School of Electrical and Electronic Engineering University College Dublin Dublin Ireland Insight Centre for Data Analytics School of Computer Science University College Dublin Dublin Ireland OST Eastern Switzerland University of Applied Sciences Rapperswil SG Switzerland Department of Electrical and Computer Engineering University of Alberta Edmonton Canada

The popularity of WiFi networks has led to the adoption of fingerprint-based WiFi localization as one primary method for indoor location tracking. However, this technique requires a significant amount of time and effort to collect data at numerous reference points (RPs) to ensure accuracy. To reduce the cost and improve efficiency, generative models can be used to generate received signal strength (RSS) fingerprints. This paper proposes a Deep Convolutional Generative Adversarial Network (DCGAN) based model for building RSS fingerprint maps that can generate a comprehensive fingerprint database using only the location of a wireless access point. The proposed approach is expected to lower the cost and effort involved in the collection of RSS fingerprints while maintaining a high level of accuracy.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Transport modelling of multi-phase fluid flow in porous media for enhanced oil recovery

引用

Defect and Diffusion Forum 2020年 400卷 38-44页

作者： Soleimani, Hassan Ali, Hassan Yahya, Noorhana Guan, Beh Hoe Sabet, Maziyar Lee, Kean Chuan Dehzangi, Arash Kakooei, Saeid Department of Fundamental and Applied Sciences Universiti Teknologi PETRONAS Malaysia Darussalam Bandar Seri Begawan Brunei Center for Quantum Devices Department of Electrical Engineering and Computer Science Northwestern University EvanstonIL United States Mechanical Engineering Department Universiti Teknologi PETROPNAS Malaysia

This article studies the combined effect of spatial heterogeneity and capillary pressure on the saturation of two fluids during the injection of immiscible nanoparticles. Various literature review exhibited that the nanoparticles are helpful in enhancing the oil recovery by varying several mechanisms, like wettability alteration, interfacial tension, disjoining pressure and mobility control. Multiphase modelling of fluids in porous media comprise balance equation formulation, and constitutive relations for both interphase mass transfer and pressure saturation curves. A classical equation of advection-dispersion is normally used to simulate the fluid flow in porous media, but this equation is unable to simulate nanoparticles flow due to the adsorption effect which happens. Several modifications on computational fluid dynamics (CFD) have been made to increase the number of unknown variables. The simulation results indicated the successful transportation of nanoparticles in two phase fluid flow in porous medium which helps in decreasing the wettability of rocks and hence increasing the oil recovery. The saturation, permeability and capillary pressure curves show that the wettability of the rocks increases with the increasing saturation of wetting phase (brine). © 2020 Trans Tech Publications Ltd, Switzerland.

关键词： Nanoparticles

来源：评论

学校读者我要写书评

暂无评论

Application-Dependent Support of ITS-G5 Car-to-Car Communication by Selected Usage of LTE-V2X Resources

Application-Dependent Support of ITS-G5 Car-to-Car Communica...

引用

AmE 2021 - Automotive meets Electronics;12th GMM-Symposium

作者： Jochen Stellwagen Matthias Deegener Michael Kuhn Frankfurt University of Applied Sciences Facility 2: Computer Science and Engineering Darmstadt University of Applied Sciences Department of Electrical Engineering

ISBN: (纸本)9783800754878

Car-to-car communication is besides autonomous driving and e-mobility one of today’s most important topics in automotive research. Currently, two transmission technologies are available for safety-critical applications in vehicle-to-vehicle communication: WIFI-based ITS-G5 and cellular-based LTE-V2X [1]. In this article ITS-G5 is used as the primary transmission technology to support safety-critical applications within a wide range of traffic situations by exchanging information between individual vehicles. The resources of the LTE-V2X communication will be used to support the WIFI-based communication in case a reliable transmission via ITS-G5 is not or only partially possible. In a simulation environment several test series were developed to investigate different traffic scenarios, use cases and equipment rates for both transmission technologies. This will show how often and in which situations the resources of LTE-V2X are used.

关键词： Communication Research transmission Simulated Environment Vehicle to vehicle communications Safety critical Traffic

来源：评论

学校读者我要写书评

暂无评论

Role assignment for spatially-correlated data aggregation using multi-sink internet of underwater things

Role assignment for spatially-correlated data aggregation us...

引用

作者： Al-Habob, Ahmed A. Dobre, Octavia A. Poor, H. Vincent Faculty of Engineering and Applied Science Memorial University St. John'sNLA1B 3X5 Canada Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States

In this paper, we consider a multi-sink underwater data aggregation network, in which a set of Internet-of-Underwater-Things devices survey an underwater area of interest and upload their data to a set of data gathering stations. A device-role assignment framework is provided, which captures the network topology and allows multi-hop data aggregation. In this framework, an optimization problem is formulated with the objective of maximizing the uncorrelated data at the gathering stations with minimal energy consumption. The optimization problem is constrained over binary coupled role assignment, inter-device, and device-station association decision variables. An ant colony optimization (ACO) algorithm is developed to tackle the complexity of the optimization problem and find optimized solutions. Simulation results illustrate that the proposed ACO algorithm provides performance close to the optimal solution, which is obtained through exhaustive search. Results also show that the proposed framework aggregates more uncorrelated data and preserves more energy compared to a baseline approach, where the devices transmit raw data to the stations directly. © 2017 IEEE.

关键词： Ant colony optimization

来源：评论

学校读者我要写书评

暂无评论

Topology Rewiring Strategies to construct robust scale-free medical Internet of Things Networks

引用

Simulation Modelling Practice and Theory 2025年 142卷

作者： Khan, Muhammad Awais Javaid, Nadeem Alrajeh, Nabil Bouk, Safdar Hussain Department of Electrical and Computer Engineering COMSATS University Islamabad Islamabad44000 Pakistan ComSens Lab International Graduate School of Artificial Intelligence National Yunlin University of Science and Technology Yunlin64002 Taiwan Department of Biomedical Technology College of Applied Medical Sciences King Saud University Riyadh11633 Saudi Arabia Old Dominion University 5115 Hampton Blvd NorfolkVA23529 United States

The Internet of Things (IoT) network topologies are now most commonly impacted by cyberattacks. The scale-free network topologies have demonstrated great robustness against random attacks by preserving the connectedness of the nodes. The scale-free network topologies’ susceptibility to malicious attacks, however, is a significant worry. It is due to the significance of the scale-free networks in different fields of life like medical, transportation, education, agriculture, etc. Also, high-degree node removal diminishes the network's resiliency and compromises the connection of the majority of nodes. In this study, we offer several rewiring techniques for building scale-free, reliable Medical Internet of Things (MIoT) networks that can withstand malicious attacks. Initially, the scale-free MIoT network's performance optimization is ensured using a heuristic algorithm known as the Great Deluge Algorithm (GDA). Then, four rewiring strategies are formulated. The initial approach is degree dissortativity, which rewires the network if all nodes have high maximum connectivity to other neighbors with a similar degree. For the second strategy, we introduced a degree difference operation based on degree dissortativity to ensure that the edges that are connected possess low dissortativity and degree difference. Meanwhile, the remaining two strategies take into account the node load bound and enhanced GDA to increase network robustness. The performance of the proposed rewiring strategies is validated through simulations. The results prove that the proposed strategies increase network robustness by up to 25% compared to Hill Climbing (HC) and Simulated Annealing (SA). Additionally, the strategies show great success in improving network connectivity and graph density. However, their computational time is higher compared to HC and SA. © 2025 Elsevier B.V.

关键词： Network topology

来源：评论

学校读者我要写书评

暂无评论

Butterfly-Accelerated Solution of Coupled Volume Integral and Hydrodynamic Equations

Butterfly-Accelerated Solution of Coupled Volume Integral an...

引用

USNC-URSI Radio science Meeting (Joint with AP-S Symposium)

作者： Doolos Aibek Uulu Yang Liu Abdulkadir C. Yucel Hakan Bagci Department of Mathematics and Natural Sciences University of Central Asia (UCA) Naryn Kyrgyzstan Applied Mathematics & Computational Research Division Lawrence Berkeley National Laboratory Berkeley USA School of Electrical and Electronic Engineering Nanyang Technological University (NTU) Singapore Computer Electrical and Mathematical Science and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia

ISBN: (数字)9789463968119

ISBN: (纸本)9798350359497

In recent years, advancements in plasmonic devices have enabled the localization of electromagnetic fields at subwavelength scales, contributing to breakthroughs in various scientific and engineering fields (J. C. Ndukaife, et al., ACS Nano, 2014,8,9,9035-9043). These structures are often made of metals and their electric properties are typically represented by the classical Drude model (S. A. Maier, 2007, Springer, New York). As the size of the plasmonic structures approaches the nanoscale, the classical Drude model falls short in explaining the collective movement of free electrons in metals. The interaction between moving charges and the electromagnetic fields can be described by a coupled system of the Maxwell and hydrodynamic equations (X. Zheng, et al., IEEE Trans. Antennas Propag., 2018,66,9, 4759-4771).

关键词： Location awareness Conferences Integral equations Metals Plasmons Hydrodynamics mathematical models

来源：评论

学校读者我要写书评

暂无评论

Sketching Approximability of (Weak) Monarchy Predicates

arXiv

引用

arXiv 2022年

作者： Chou, Chi-Ning Golovnev, Alexander Shahrasbi, Amirbehshad Sudan, Madhu Velusamy, Santhoshini School of Engineering and Applied Sciences Harvard University CambridgeMA United States Department of Computer Science Georgetown University United States Microsoft United States

We analyze the sketching approximability of constraint satisfaction problems on Boolean domains, where the constraints are balanced linear threshold functions applied to literals. In particular, we explore the approximability of monarchy-like functions where the value of the function is determined by a weighted combination of the vote of the first variable (the president) and the sum of the votes of all remaining variables. The pure version of this function is when the president can only be overruled by when all remaining variables agree. For every k ≥ 5, we show that CSPs where the underlying predicate is a pure monarchy function on k variables have no non-trivial sketching approximation algorithm in o(√n) space. We also show infinitely many weaker monarchy functions for which CSPs using such constraints are non-trivially approximable by O(log(n)) space sketching algorithms. Moreover, we give the first example of sketching approximable asymmetric Boolean CSPs. Our results work within the framework of Chou, Golovnev, Sudan, and Velusamy (FOCS 2021) that characterizes the sketching approximability of all CSPs. Their framework can be applied naturally to get a computer-aided analysis of the approximability of any specific constraint satisfaction problem. The novelty of our work is in using their work to get an analysis that applies to infinitely many problems simultaneously. © 2022, CC BY.

关键词： Constraint satisfaction problems

来源：评论

学校读者我要写书评

暂无评论

EnsembleDroid: A Malware Detection Approach for Android System based on Ensemble Learning

EnsembleDroid: A Malware Detection Approach for Android Syst...

引用

IEEE MIT Undergraduate Research Technology Conference (URTC)

作者： Sharon Guan Wenjia Li College of Engineering and Applied Sciences Stony Brook University Stony Brook NY Department of Computer Science New York Institute of Technology New York NY

In recent years, mobile devices such as smartphones and tablets have become one of the most popular digital devices of choice in our daily lives when it comes to functionality and convenience. With only ever increasing popularity, mobile devices with Android operating systems have become a common target for malware especially through third-party markets. To make things worse, the emergence of obfuscation and adversarial example attacks enables malware to evade traditional security methods and steal a user’s private information. In this paper, we propose an ensemble learning-based framework for detecting malware by using risky permissions as features to train a classifier and determine whether a mobile application (a.k.a. app) is malware or not. To evaluate the performance of the proposed malware detection approach, we have conducted a series of experiments using real world Android app datasets that are composed of both malicious and benign apps. Experimental results clearly show that the proposed malware detection approach can effectively detect malware with a high accuracy.

关键词： Support vector machines Operating systems Stacking Personal digital devices Malware Classification algorithms Ensemble learning

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：