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共 3716 条记录，以下是31-40 订阅

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Optimizing Last-Mile Delivery: Exploring Hybrid Models 1

引用

20th Transport systems theory and Practice conference

作者： Jazbec, Mirna Sofie Rogic, Kristijan Agent Plus Zagreb Doo Zagreb Croatia Univ Zagreb Fac Transport & Traff Sci Zagreb Croatia

ISBN: (数字)9783031817779

ISBN: (纸本)9783031817762;9783031817779

Research on optimizing the last-mile delivery system mostly encompasses a single delivery model. the model is conceived as follows: goods from warehouses located on the outskirts of cities are delivered by commercial delivery vehicles to micro-depots located on the outskirts of city centers or historical cores, from where distribution is carried out either by smaller delivery vehicles or environmentally friendly vehicles, such as small electric vans and/or electric cargo bicycles/tricycles. In the process of selecting the optimal model, various criteria are considered. the aim of the paper is to provide an overview of research in the field of last-mile delivery modeling, with guidelines for future research. the focus is on researching hybrid delivery network models in urban areas, and identifying additional elements that can contribute to greater efficiency in the last-mile delivery system, alongside reviewing existing network optimization criteria. the paper is structured so that the introductory section outlines the purpose of the research. A review of existing research with a critical analysis constitutes the central part of the paper. In conclusion, guidelines for future research in the optimization of hybrid last-mile distribution networks are provided.

关键词： optimization Last-mile delivery Hybrid model network Environmentally friendly vehicles Electric cargo bicycles

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the Optimal Design and Control of a Low-emission Methanol-Fueled Hybrid Electric Boat 20

The Optimal Design and Control of a Low-emission Methanol-Fu...

引用

20th IEEE/ASME International conference on Mechatronic and Embedded systems and Applications (MESA)

作者： Liu, Siyang Dong, Zuomin Univ Victoria Inst Integrated Energy Syst Dept Mech Engn Victoria BC Canada

ISBN: (纸本)9798331516246;9798331516239

Combining clean alternative fuel, hybrid electric propulsion, and advanced real-time optimal control provides a very promising approach to clean energy transition and decarbonization. However, a hybrid electric ship's flexible electrified propulsion system is a complex mechatronic system that demands system optimization and real-time optimal control to reach its full potential. Accurate prediction of needed propulsion power is required to develop the integrated propulsion system design and control solutions. this study introduces an advanced propulsion power prediction method and an integrated model-based design and optimization approach for the design and control optimizations of the vessel propulsion system. After introducing the engine performance models of a methanol-fueled engine based on literature data, a case study of a representative tour boat is conducted to design and assess the balanced performance and emissions of the methanol-fueled hybrid electric marine vessel. Combining clean methanol fuel, hybrid electric propulsion, and optimal real-time control effectively reduces the overall carbon dioxide equivalent emissions from the vessel.

关键词： clean marine propulsion solutions hybrid electric propulsion methanol model-based design optimization energy management strategies

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Market-based Generation Expansion Planning 20

Market-based Generation Expansion Planning

引用

20th International conference on the European Energy Market (EEM)

作者： Koltsaklis, Nikolaos Sabanci Univ Fac Engn & Nat Sci TR-34956 Istanbul Turkiye

ISBN: (纸本)9798350381757;9798350381740

Generation expansion planning is the problem of determining the optimal type of energy technologies to be installed, time, and construction location. this problem becomes even more complicated within the context of electricity markets, including their volatilities and shocks. this work addresses the problem of optimal generation expansion planning, considering the market operation through introducing unit commitment constraints. It considers the penetration of distributed energy resources into the system, including energy storage systems and demand response programs. the methodological framework is based on linear programming techniques and has been tested in an illustrative power system under various assumptions regarding CO2 emissions limits as well as CO2 and natural gas fuel prices. the results highlight that renewable power units are installed in all cases, while non-renewable power units are installed only if they are low-carbon (biomass and nuclear) or they are equipped with a CCS technology (hard coal and natural gas).

关键词： optimization Linear programming Generation expansion planning Energy storage Demand response

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Advanced Analog Design optimization: Comparison between Reinforcement Learning and Heuristic Algorithms 20

Advanced Analog Design Optimization: Comparison between Rein...

引用

20th International conference on Synthesis, modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD 2024

作者： Chevalier, Michel Trochut, Severin Guizzetti, Roberto Urard, Pascal Labrak, Lioua Samuel, John Cellier, Rémy Abouchi, Nacer STMicroelectronics Crolles France Université de Lyon CPE Lyon Institut des Nanotechnologies de Lyon Lyon France Université de Lyon CPE Lyon LIRIS Lyon France

ISBN: (纸本)9798350351927

Last decades have seen a lot of research on Analog Design Automation. the most recent approaches are based on Reinforcement Learning (RL). this paper describes a new learning strategy enhancing the most recent Proximal Policy optimization RL approach, applied to analog design. the method is compared to more classical heuristic approaches such as Ant Colony optimization, Particle Swarm optimization or Differential Evolution algorithm. this study is done using a gymnasium environment embedding a spice-like electrical simulator. the experiments are done under equivalent calculation conditions. the paper highlights convergence properties and demonstrates the RL ability to avoid local minimum traps. © 2024 IEEE.

关键词： Reinforcement learning

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Practical Experiences from Application of a Comprehensive Simulator for Pumped Storage Hydropower Investment Decisions on a Real Investment Case 20

Practical Experiences from Application of a Comprehensive Si...

引用

20th International conference on the European Energy Market (EEM)

作者： Schuller, Kristine Aaslid, Per Vereide, Kaspar Skjelbred, Hans Ivar SINTEF Energy Res Energy Syst Trondheim Norway Sira Kvina Kraftselskap Tonstad Norway Norwegian Univ Sci & Technol Dept Civil & Environm Engn Trondheim Norway

ISBN: (纸本)9798350381757;9798350381740

the future electricity system is expected to include a higher share of production from renewable energy sources. this will lead to increased price volatility and thus a higher demand for short-term balancing by hydropower systems, which will have to operate closer to their maximum flexibility limits. In order to perform an investment analysis it is thus important to model physical characteristics and limitations of hydropower systems as close to reality as possible. A simulator based on medium- and short-term hydropower modelling is used to carry out an investment analysis for a Norwegian hydropower producer. the results demonstrate how detailed modelling can provide new insight into the implications of short-term effects in pumped storage hydropower investment decisions.

关键词： Hydropower Scheduling Investment Analysis optimization Pumped Storage

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Scaled Conjugate Gradient Digital Cancellation Algorithm Study for 6G Full Duplex Wireless Communication system 20

Scaled Conjugate Gradient Digital Cancellation Algorithm Stu...

引用

20th IEEE International Wireless Communications and Mobile Computing (IEEE IWCMC) - Green and Intelligent Communications

作者： Wu, Di China Acad Informat & Commun Technol Beijing Beijing Peoples R China

ISBN: (纸本)9798350361261;9798350361278

the relentless evolution of communication technologies has spurred sustained interest in 6G (6th Generation) full-duplex wireless communication systems, positioning these systems as integral components of future networks. the primary challenge lies in optimizing algorithms to enhance system performance and spectrum efficiency. this study focuses specifically on the application of the Scaled Conjugate Gradient (SCG) algorithm in the domain of digital self-interference cancellation, aiming to achieve performance optimization in full-duplex wireless systems. through an in-depth exploration of the principles and characteristics of the SCG algorithm, we apply it to critical aspects such as signal processing, interference cancellation, and more, with the goal of optimizing the overall system performance. through experiments, we evaluate the effectiveness of the SCG algorithm and conduct comparative analyses with other optimization algorithms. the experimental results demonstrate that the lower complexity of the SCG algorithm effectively addresses the issue of self-interference signal cancellation under high transmit power conditions, resolving nonlinear problems introduced by components such as power amplifiers. Importantly, the SCG algorithm outperforms other digital cancellation methods in this context.

关键词： 6G full duplex SCG digital cancellation

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Application of Untracked Particle Filter (PSO-UPF) Based on Particle Swarm optimization in Indoor Target Tracking 20

Application of Untracked Particle Filter (PSO-UPF) Based on ...

引用

20th International conference on Natural Computation, Fuzzy systems and Knowledge Discovery, ICNC-FSKD 2024

作者： Yu, Zhong Lin, Lexiang Xue, Chen Zhuo, Lei Yuan, Jialiang School of Communication and Information Engineering Xi'an University of Posts & Telecommunications Xi'an China

ISBN: (纸本)9798350356328

To address the issue of particle depletion caused by resampling in traditional particle filter algorithms, an unscented particle filter algorithm (PSO-UPF) based on particle swarm optimization is proposed to enhance the number of particles and improve estimation accuracy. the study first examines the principles and implementation process of the particle swarm optimization algorithm, then compares the similarities and differences between particle swarm optimization and particle filter algorithms, focusing on how particle swarm optimization can alleviate the particle depletion problem. the effect of each particle is improved, and the basic steps of PSO-UPF algorithm are given. Simulation results indicate that the proposed algorithm significantly improves the system's robustness, real-time performance and effectiveness of the system compared with PF, UPF and PSO-PF. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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threatFinderAI: Automated threat modeling Applied to LLM system Integration 20

ThreatFinderAI: Automated Threat Modeling Applied to LLM Sys...

引用

20th International conference on Network and Service Management

作者： Von der Assen, Jan Huertas, Alberto Sharif, Jamo Feng, Chao Bovet, Gerome Stiller, Burkhard Univ Zurich UZH Dept Informat Commun Syst Grp CH-8050 Zurich Switzerland Armasuisse Sci & Technol Cyber Def Campus CH-3602 Thun Switzerland

ISBN: (纸本)9798331505158;9783903176669

Artificial Intelligence (AI) is a rapidly integrated technology, significantly contributing to advancements like 6G. However, its swift adoption raises considerable security concerns. Large Language Models (LLMs) pose risks such as spear phishing, code injections, and remote code execution. Conventional threat modeling, used in secure software development, faces challenges when applied to AI systems, as existing methodologies are designed for traditional software. Furthermore, AI-specific threat modeling research is sparse and lacks approaches providing practical support or automation. thus, this demo paper presents threatFinderAI, an asset-centric threat modeling and risk assessment framework. threatFinderAI fulfills seven steps aligned with AI system design and transforms AI threat and control knowledge bases into a queryable knowledge graph for automated asset identification and threat elicitation. It also proposes business impact analysis and expert estimates for AI threat impact quantification. In the demonstration, threatFinderAI is illustrated by securing a customer care application relying on LLMs. through this, it is demonstrated how the proposed framework can he used to identify relevant threats and practical countermeasures and communicate strategic risk.

关键词： threat modeling Al systems Large Language Models AI Security

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Semi-Analytical calculation method for eddy current and electromagnetic force in inductors of PPS system 10

Semi-Analytical calculation method for eddy current and elec...

引用

10th Euro-Asian Pulsed Power conference, 25th International conference on High-Power Particle Beams and 20th International Symposium on Electromagnetic Launch Technology, EAPPC-BEAMS-EML 2024

作者： Liu, Zhizhen Yu, Xinjie Li, Zhen Li, Bei Tsinghua University Dept. of Electrical Engineering Beijing China

ISBN: (纸本)9789038661353

the electromagnetic force inside the pulse inductor affects the safe operation of the pulsed power supply (PPS) system. the calculation speed of the existing numerical method is too slow for large-scale optimization. this article proposed a semi-Analytical method that can realize the fast calculation. this method is based on the discretization and normalization of the coils. the comparison with the simulation verifies the accuracy and rapidity of the proposed method. © 2024 Eindhoven University of Technology.

关键词： Eddy current testing

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Analysis and optimization: interference study of 900MHz NR system to NB-IoT system 20

Analysis and Optimization: interference study of 900MHz NR s...

引用

20th IEEE International Wireless Communications and Mobile Computing (IEEE IWCMC) - Green and Intelligent Communications

作者： Liu, Lei China Telecom Corp Ltd Beijing Res Inst Beijing Peoples R China

ISBN: (数字)9798350361261

ISBN: (纸本)9798350361261;9798350361278

In this study, we focus on exploring the potential interference to neighboring-frequency NB-IoT systems caused by the evolution from LTE to 5G NR systems in the 900 MHz band. In particular, the study focuses on the base station and terminal transmissions of the 900MHz 5G NR system and analyzes their potential interference impact on the indoor and outdoor terminals of the neighboring-band NB-IoT system as well as on the base station reception. In the future 900MHz 5G system, the base station is expected to have a transmit parameter of 4*60 W. We meticulously list the key base station and terminal parameters required to perform system analysis and interference calculation based on the 3GPP standard. In this thesis, we have thoroughly explored the specific mechanism of neighbor frequency interference through a comprehensive approach of experiments, simulations and reference standards, and based on which we have proposed effective optimization strategies. these strategies aim to reduce the interference of the 5G NR system to the neighboring frequency NB-IoT system, thus ensuring that the two systems can coexist harmoniously in the same frequency band. the results will provide theoretical support and practical guidance for the smooth transition from LTE to 5G NR in the 900 MHz band, which is of great significance for realizing a more efficient and stable communication network.

关键词： 900MHz band 5G NR system NB-IoT system neighbor frequency interference optimization strategies

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