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Power, Energy and Electrical Engineering (CPEEE), International Conference on

作者： Ehsan Aliyan José Almeida Steffen Limmer Sérgio Ramos João Soares GECAD LASI Polytechnic of Porto Porto Portugal Honda Research Institute Europe Offenbach Germany

ISBN: (数字)9798331520090

ISBN: (纸本)9798331520106

The growing incorporation of renewable energy sources, electric vehicles, and energy storage systems within modern power systems has amplified the need for efficient energy management frameworks. This paper presents a novel optimization approach for clustering prosumers into energy community groups to enhance self-sufficiency, operational efficiency, and economic performance. The proposed framework incorporates an initial number of prosumers with energy assets, including photovoltaic systems, storage, and electric vehicles, aiming to form energy communities while addressing the distribution grid's technical and physical constraints. The optimization problem is formulated as a Mixed-Integer Nonlinear programming model, capturing the nonlinear relationships and discrete decision variables involved in prosumer clustering, complying with grid operational limits, and minimizing power losses within the distribution network. The optimization outcomes demonstrate significant improvements in energy utilization, reducing grid dependency and cost savings for prosumers, enabling greater economic and technical benefits. The results indicate a 43.4 percent reduction in the energy bills of prosumers following their participation in the energy community. This study provides policymakers and grid operators a tool to cluster prosumers by considering technical and regulatory constraints.

关键词： Photovoltaic systems Renewable energy sources Power system dynamics Metaheuristics programming Electric vehicles Search problems Energy management Vehicle dynamics Energy storage

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POOLER: A No-Code Platform to Automatically Generate Analytical Polls

POOLER: A No-Code Platform to Automatically Generate Analyti...

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International CSI Computer Conference, CSICC

作者： Zahra Zamani Moein-Aldin AliHosseini Mohammadreza Sharbaf Department of Management Science and Technology Amirkabir University of Technology Tehran Iran Department of Software Engineering University of Isfahan Isfahan Iran

ISBN: (数字)9798331523114

ISBN: (纸本)9798331523121

The advancements in technology and widespread internet access have revolutionized the way data collection and polling are conducted. Traditional polling methods are often hampered by significant challenges, including high operational costs, limited ability to reach a broad audience, reliance on a large workforce, and the extensive time required for data analysis. These limitations have led to inefficiencies and reduced the effectiveness of traditional approaches. In this paper, we introduce a platform designed to automate the creation of online polls, utilizing a model-driven approach and no-code development platform. This system streamlines the polling process by allowing users to easily design and deploy polls without extensive programming knowledge. The platform also includes built-in functionalities to automatically generate charts and visualizations for data analysis, reducing the need for manual data processing. By simplifying these processes, the platform makes advanced polling tools accessible to non-experts, enabling quicker, more efficient data collection and analysis in a variety of contexts.

关键词： Data analysis Data security Data visualization System integration Manuals Data collection programming Synchronization Reliability Usability

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DANCERS: A Physics and Network Co-Simulator for Communicating Multi-Robot Systems

DANCERS: A Physics and Network Co-Simulator for Communicatin...

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IEEE International Conference on Simulation, Modeling, and programming for Autonomous Robots (SIMPAR)

作者： Théotime Balaguer Olivier Simonin Isabelle Guérin Lassons Isabelle Fanloni Inria CITI UMR 3720 INSA Lyon France ENS Lyon CNRS LIP UMR 5668 Université Claude Bernard Lyon 1 Lyon France École Centrale Nantes CNRS LS2N UMR 6004 Nantes Université Nantes France

ISBN: (数字)9798331516857

ISBN: (纸本)9798331516864

Multi-robot systems equipped with wireless communication devices can outperform single-robot platforms through cooperation. However, such wireless network face challenges such as the unreliable wireless channels, physical obstacles, uneven terrains, and potential malicious attacks. Studying the interplay between the physical and network aspects of these systems proves challenging because existing physics simulators often lack realistic communication models, while network simulators typically use over-simplified physics and mobility models. To address this gap, we introduce DANCERS, a novel co-simulation platform providing synchronization and information exchange between any robotic and any network simulator. DANCERS is evaluated in terms of computational performance, overhead and correctness, and its capabilities are demonstrated through a multi-robot use case.

关键词： Navigation Mobility models Wireless networks Source coding programming Multi-robot systems Synchronization Physics Information exchange Faces

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Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code

Turbulence: Systematically and Automatically Testing Instruc...

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International Conference on Software Testing, Verification, and Validation, ICST

作者： Shahin Honarvar Mark van der Wilk Alastair F. Donaldson Department of Computing Imperial College London London UK Department of Computer Science University of Oxford Oxford UK

ISBN: (数字)9798331508142

ISBN: (纸本)9798331508159

We present a method for systematically evaluating the correctness and robustness of instruction-tuned large language models (LLMs) for code generation via a new benchmark, Turbulence. Turbulence consists of a large set of natural language question templates, each of which is a programming problem, parameterised so that it can be asked in many different forms. Each question template has an associated test oracle that judges whether a code solution returned by an LLM is correct. Thus, from a single question template, it is possible to ask an LLM a neighbourhood of very similar programming questions, and assess the correctness of the result returned for each question. This allows gaps in an LLM's code generation abilities to be identified, including anomalies where the LLM correctly solves almost all questions in a neighbourhood but fails for particular parameter instantiations. We present experiments against five LLMs from OpenAI, Cohere and Meta, each at two temperature configurations. Our findings show that, across the board, Turbulence is able to reveal gaps in LLM reasoning ability. This goes beyond merely highlighting that LLMs sometimes produce wrong code (which is no surprise): by systematically identifying cases where LLMs are able to solve some problems in a neighbourhood but do not manage to generalise to solve the whole neighbourhood, our method is effective at highlighting robustness issues. We present data and examples that shed light on the kinds of mistakes that LLMs make when they return incorrect code results.

关键词： Software testing Codes Large language models Natural languages programming Benchmark testing Robustness Cognition

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PID Controller Design for a Mechatronic System using Lion Optimization Algorithm

PID Controller Design for a Mechatronic System using Lion Op...

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Applied Research in Electrical Engineering (AREE), National and International Conference on

作者： Amirhossein Safdari Amirhosein Mansouri Mohammad Javad Fazli Payam Zarafshan Khalil Alipour Bahram Tarvirdizadeh Department of Mechatronics Engineering School of Intelligent Systems College of Interdisciplinary Science and Technology University of Tehran Tehran Iran Department of Renewable Energy Engineering Faculty of Mechanical and Energy Engineering Shahid Beheshti University Tehran Iran School of Mechanical Engineering College of Engineering University of Tehran Tehran Iran School of Engineering Design and Built Environment Western Sydney University Sydney Australia

ISBN: (数字)9798350377170

ISBN: (纸本)9798350377187

Controllers act as a bridge between the operator and the system, allowing the operator to communicate with the system as if it were a human. In other words, the controller is like the thinking brain of an industrial process. A controller communicates all the commands that an expert wants to apply to the system to follow its standard flow process and ultimately achieve the desired response. When industrial processes are left alone and without a controller in the control loop, they typically do not give satisfactory responses in terms of transient or steady-state characteristics. Therefore, the selection and programming of an appropriate controller is one of the most important steps in an industrial process. One of the most widely used and well-known controllers is the PID controller, whose gains are often determined experimentally or through trial and error. However, finding the optimal gains is always a challenge. In this study, for the first time, the optimal gains of the PID controller are determined using Lion Optimization Algorithm (LOA). This research has introduced a systematic and efficient approach to achieving optimal control of mechatronic systems.

关键词： Mechatronics Systematics Process control Optimal control programming Steady-state Transient analysis Optimization Tuning Standards

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Artificial Bee Colony Optimization Techniques’ Utilization for Intrusion Detection Systems’ Analysis

Artificial Bee Colony Optimization Techniques’ Utilization ...

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AI in Cybersecurity (ICAIC), International Conference on

作者： Emre Tokgoz Computer Security Department State University of New York Farmingdale New York USA

ISBN: (数字)9798331518882

ISBN: (纸本)9798331518899

A variety of nonlinear optimization techniques have been used for measuring effectiveness of Intrusion Detection Systems (IDS). The variability of these optimization techniques resulted in several different approaches for different systems that depended on the IDS selection. There is a tremendous increase in the number of nature-inspired optimization techniques introduced in recent years and the associated applications in IDS appear recently after their introductions. Artificial Bee Colony (ABC) optimization is one of the optimization techniques that attracted many researchers, and a comprehensive review of ABC is needed. While there are few other reviews of ABC algorithms in the literature, the combination of ABC with other optimization techniques and improvement opportunities with these optimization techniques are not covered in these articles. Therefore, in this work, an extensive review of the ABC optimization techniques introduced for IDS analysis as well as the most recent techniques that are applied to IDS in combination with ABC will be covered. New research areas to be explored are recommended as a part of the conclusions and future works. This work demonstrates a clear overview of the IDS and nonlinear optimization applications along with the optimization applications and directions followed by the research community.

关键词： Reviews Intrusion detection programming Artificial bee colony algorithm Computer security Artificial intelligence Optimization

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RV-ESMC: Efficient Sparse Matrix Convolution Processor based on RISC-V Custom instructions for Edge Platforms

RV-ESMC: Efficient Sparse Matrix Convolution Processor based...

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Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM)

作者： Huachen Zhang Jianyang Ding Bowen Jiang Tianshuo Lu Wei Xu Zhilei Chai School of Artificial Intelligence and Computer Science Jiangnan University Wuxi China

ISBN: (数字)9798331502812

ISBN: (纸本)9798331502829

As the demand for deep neural network (DNN) inference on edge platforms grows, deploying compute-intensive DNNs on resource-constrained devices remains challenging. This paper proposes a novel sparse convolution acceleration processor, RV-ESMC, based on RISC-V architecture, with custom instructions to enable efficient edge DNN inference. RV-ESMC provides flexibility by supporting inline assembly calls in C programming. Experimental results indicate that RV-ESMC can reduce execution time by over 70% in DNNs with convolution operations compared to conventional instruction sets. The functionality of RV-ESMC is validated on an FPGA platform and its performance is comprehensively evaluated based on a 55nm CMOS process. The results show that RV-ESMC can achieve a peak energy efficiency of 675 GOPS/W.

关键词： Convolution Instruction sets Artificial neural networks Computer architecture programming CMOS process Energy efficiency Sparse matrices Field programmable gate arrays Assembly

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Exploration on 5E Teaching Principle-based Education for the Object-oriented Software Construction Course

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计算机教育 2023年第12期 187-194页

作者： Cuiyun Gao Jia Xie Bin Zhou Jianghong Ma Jianlong Wu Yunming Ye the School of Computer Science and Technology Harbin Institute of Technology(Shenzhen)Shenzhen518071China

Most current object-oriented programming courses offered by domestic colleges and universities generally focus on the object-oriented programming language itself,i.e.,the programming grammar of the language,but ignore the design ***,design patterns are essential to software engineering because they can solve common problems in software design and improve code reuse,readability,extensibility,and *** Object-oriented Software Construction Course is creative since it aims at cultivating students’object-oriented thinking as well as basic abilities required to construct high-quality,object-oriented ***,we exploit the 5E teaching principle during the education of this course,and present the whole pipeline in the *** also provide one case of the factory pattern to further demonstrate the implementation of the 5E teaching principle in the *** effect of the 5E teaching principle has also been demonstrated.

关键词： Object-oriented software construction 5E teaching principle programming Design pattern

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Research on Planting Strategy Based on Monte Carlo and Simulated Annealing Algorithms

Research on Planting Strategy Based on Monte Carlo and Simul...

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Electronics, Energy Systems and Power Engineering (EESPE), IEEE International Conference on

作者： Junming Chen Qi Yu China University of Petroleum Qingdao China

ISBN: (数字)9798350389579

ISBN: (纸本)9798350389586

A crop planting strategy optimization model combining Monte Carlo simulation and simulated annealing algorithm is proposed in the study, aiming to effectively optimize the planting strategy to cope with the complex production environment under uncertain conditions. First, based on a variety of constraints, this paper analyzes in depth the uncertainties involved in the planting process, such as the dynamic changes of various cash crop indicators in the market, by establishing an optimization model with the objective of maximizing benefits. Then, in order to cope with these uncertainties, the original optimization model was dynamically adjusted using Monte Carlo simulation and combined with the simulated annealing algorithm for global optimization calculation. Ultimately, the optimal planting scheme between 2024 and 2030 was determined by this optimization model. This study not only can effectively deal with the complex market dynamics, but also provides a scientific basis for the optimization of planting strategies.

关键词： Monte Carlo methods Uncertainty Optimization models Heuristic algorithms Crops Simulated annealing programming Stability analysis Optimization Testing

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Effective Capacity of a Battery Energy Storage System Captive to a Wind Farm

Effective Capacity of a Battery Energy Storage System Captiv...

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Grid Edge Technologies Conference & Exposition (Grid Edge), IEEE PES

作者： Vinay A. Vaishampayan Thilaharani Antony Amirthagunaraj Yogarathnam Faculty of the Engineering and Environmental Science College of Staten Island-City University of New York NY USA Interdiscivlinary Science Department Brookhaven National Laboratory Upton NY USA

ISBN: (数字)9798350352528

ISBN: (纸本)9798350352535

Wind energy's role in the global electric grid is set to expand significantly. New York State alone anticipates offshore wind farms (WFs) contributing 9GW by 2035. Integration of energy storage emerges as crucial for this advancement. In this study, we focus on a WF paired with a captive battery energy storage system (BESS). We aim to ascertain the power capacity credit for a BESS with specified nameplate energy (MWh) and power capacity (MW). Unlike prior methods rooted in reliability theory, we define a power alignment function, which leads to a straightforward definition of capacity and incremental capacity for the BESS. We develop a solution method based on a linear programming formulation. Our analysis utilizes wind data, collected by NYSERDA off Long Island's coast and load demand data from NYISO. Additionally, we present theoretical insights into BESS sizing and a key time-series property influencing BESS capacity, aiding in simulating wind and demand for estimating BESS energy requirements.

关键词： Battery energy storage system Wind energy Wind farms Reliability theory programming Linear programming

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