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Demand-Side Management in Microgrids: Between theories and Practical Approaches 5

Demand-Side Management in Microgrids: Between Theories and P...

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5th international conference on Power Engineering and Renewable Energy, ICPERE 2022

作者： Bachtiar, Ibnu Kahfi Hariyanto, Nanang Rahman, Fathin Saifur Almanar, Indra Putra Suwarno Universitas Maritim Raja Ali Haji Faculty of Engineering Tanjungpinang Indonesia School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia

ISBN: (纸本)9781665455480

Currently, demand variation problems in power systems are mostly solved from the generation perspective. Fluctuating load demand is a challenge for operators to manage generator dispatch in order to achieve a balance of supply and load. On the other hand, the potential of demand-side management (DSM) has not been explored much as an alternative paradigm in power system control and operation. In fact, the demand management approach is promising because it offers a much cheaper solution than the investment and operation of additional power plants. Load growth which is much faster than the growth of power plants, is a rational reason to start thinking about how to manage the load effectively so that the system operates efficiently. this paper reviews the development of demand-side management (DSM), which has actually been around for a long time, and the extent to which the techniques and solutions have been put into practice. Furthermore, various DSM techniques in renewable energy-based microgrids currently developing rapidly are also discussed. © 2022 IEEE.

关键词： Distributed power generation

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Towards independent SMA actuators: A novel analog two-state control system for flexible robots

Towards independent SMA actuators: A novel analog two-state ...

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international conference on Emerging Technologies and Factory automation (ETFA)

作者： Florian-Alexandru Brasoveanu Adrian Burlacu Department of Automatic Control and Applied Informatics "Gheorghe Asachi" Technical University of Iasi Iasi Romania

the soft robotics field offers a large variety of actuators and robots, complex structures and designs able to behave in a required way, offering speed and resistance and at the same time reducing the contact damage chance. the control of such structures using mathematical methods requires complex methods which evolved over time in the form of predictive control and even neural networks and genetic algorithms. the current paper presents ongoing research that can be found at the intersection of meta-materials and sensor technology. It approaches a simpler method of controlling a flexible actuator based on a shape memory alloy, the regulator being a two-state switch controller steered by a pressure force sensor. We propose a complete analogical electrical structure and analyze the performance of the outcome, focusing on time response. the present work also contains a brief description of a mechanical design proposal able to optimize the impact of the shape memory alloy used, in order to obtain an amplified actuation.

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Prediction of Steel Articles Mechanical Properties through Raw Stock Chemical Composition and Smelting Parameters

Prediction of Steel Articles Mechanical Properties Through R...

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international conference on control Systems, Mathematical Modelling, automation and Energy Efficiency (SUMMA)

作者： Leonid N. Yasnitsky Vyacheslav M. Gruzman Sergey V. Martynenko Alexey S. Mezentsev Department of Applied Mathematics and Informatics Perm State National Research University c. Perm Russia Department of Metallurgical Technologies Branch in Nizhny Tagil Ural Federal University Named After B.N. Yeltsin c. Nizhny Tagil Russia

the paper deals with the creation and application of a mathematical model designed for operational control of strength characteristics of items produced under conditions of open-hearth steelmaking. Variations in the chemical composition of the raw material as well as in the parameters and modes of smelting are used as controlling influences. the mathematical model is based on a neural network trained on a data set collected under batch production. Training, validation and testing of neural networks have shown that chemical composition parameters alone are insufficient for predicting the mechanical characteristics of manufactured products. the dependences of impact toughness of representative samples on chemical composition and melting conditions obtained as a result of virtual computer simulations allowed us to formulate recommendations to prevent product defects. It is noted that the dependences of strength characteristics of manufactured products on their chemical composition and melting conditions revealed through modeling have a complex non-linear character which sometimes does not coincide with the known results obtained on laboratory samples in isolation from the real conditions of serial production. It has been shown that the developed neural network model enables selecting the chemical composition and smelting parameters which eliminate reject and maximize the strength characteristics of the resulting products. It also helps to optimize the chemical composition of products and save the most expensive alloying elements.

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Design and Development of Smart Farming System for Monitoring and Bird Pest control Based on Raspberry Pi 4 with Implementation of YOLOv5 Algorithm 5

Design and Development of Smart Farming System for Monitorin...

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5th international conference on Advancement in Data Science, E-Learning and Information Systems, ICADEIS 2023

作者： Antariksa, Muhammad Deagama Surya Husodo, Ario Yudo Huwae, Raphael Bianco Nugraha, Ryan Adhitya University of Mataram Informatics Engineering Mataram Indonesia Telkom University School of Industrial and Systems Engineering Indonesia

ISBN: (纸本)9798350303414

this research proposes a novel solution to address the issue of bird pests in agricultural fields by utilizing a Raspberry Pi 4 Model B, a webcam, and a connected speaker. Leveraging the capabilities of the Internet of things and computer vision technologies, the webcam employs the YOLOv5 algorithm and OpenCV for real-time bird detection. the system incorporates a Telegram chatbot for instant notifications and allows for photo capture when birds cross predefined boundaries. Extensive testing showcases the webcam's ability to detect birds under various conditions. In open spaces, the detection range spans approximately 80-400 cm, while in environments resembling rice fields, the range is around 80-200 cm, although false positives may occur at a distance of 200 cm. the Raspberry Pi 4 Model B demonstrates a processing speed of 0.78-0.8 frames per second. During a 1-hour temperature test, the temperature of the Raspberry Pi 4 Model B ranged from 58.4 to 61.8 °C. Furthermore, the implementation of a speaker emitting loud noises effectively repels birds within the covered area, although some birds may still return to that area. © 2023 IEEE.

关键词： Birds

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Improving Few-Shot Code Generation with Prompt Selection and Augmentation Techniques in Large Language Models

Improving Few-Shot Code Generation with Prompt Selection and...

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Computers and Artificial Intelligence Technologies (CAIT), international conference on

作者： On Tai Wu Frodo Kin Sun Chan Yan Nei Law Department of Computer Science The University of Hong Kong Hong Kong Hong Kong Industrial Artificial Intelligence & Robotics Centre Hong Kong

ISBN: (数字)9798331530891

ISBN: (纸本)9798331530907

Few-shot prompting and step-by-step reasoning have enhanced the capabilities of Large Language Models (LLMs) in tackling complex tasks including code generation. In this paper, we introduce a prompt selection and augmentation algorithm aimed at improving mathematical reasoning and robot arm operations. Our approach incorporates a multi-stage example augmentation scheme combined with an example selection scheme. this algorithm improves LLM performance by selecting a set of examples that increase diversity, minimize redundancy, and increase relevance to the question. When combined with the Program-of-thought prompting, our algorithm demonstrates an improvement in performance on the GSM8K and SVAMP benchmarks, with increases of 0.3% and 1.1% respectively. Furthermore, in simulated tabletop environments, our algorithm surpasses the Code-as-Policies approach by achieving a 3.4% increase in successful task completions and a decrease of over 70% in the number of examples used. Its ability to discard examples that contribute little to solving the problem reduces the inferencing time of an LLM-powered robotics system. this algorithm also offers important benefits for industrial process automation by streamlining the development and deployment process, reducing manual programming effort, and enhancing code reusability.

关键词： Codes automation Service robots Large language models Redundancy Process control Manuals Programming Cognition Prompt engineering

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A 5G-Based Switching Method Between a Local controller and an Edge controller

A 5G-Based Switching Method Between a Local Controller and a...

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IEEE international conference of Intelligent Robotic and control Engineering (IRCE)

作者： Xiulian Wang Jinggao Lin Xi Jin Changqing Xia Chi Xu College of Automation and Electrical Engineering Shenyang Ligong University China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

With the rapid development of edge computing, industrial automation has evolved a two-layer distributed computing architecture, including local controllers communicating through wired networks and edge controllers communicating wirelessly. the edge controllers in existing studies use WIFI, which has a limited working distance and requires independent network deployment, so they are unsuitable for future large-scale complex industrial production. At present, 5G technology is undergoing rapid development in the field of industrial automation, with wide coverage and excellent mobility, gradually becoming suitable for future large-scale and complex industrial production scenarios. therefore, this paper proposed an SW5G method based on 5G, which combined the local controller with the edge controller. the controllers were switched according to the constantly changing 5G network transmission delay, thereby optimizing the overall system control performance. Finally, simulation experiments demonstrated good control performance of SW5G in various network scenarios.

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Semantic Web for BIM-Based Automated Project Management and control: A Review 20th

Semantic Web for BIM-Based Automated Project Management and ...

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20th international conference on Computing in Civil and Building Engineering, ICCCBE 2024

作者： Palihakkara, Asha Dulanjalie Osorio-Sandoval, Carlos Tizani, Walid Centre for Structural Engineering and Informatics University of Nottingham NottinghamNG7 2RD United Kingdom

ISBN: (纸本)9783031842078

the integration of semantic web technologies in the Architecture, Engineering, and Construction (AEC) industry has gained momentum in recent years, with promising studies being conducted for various use cases. Furthermore, its necessity has been implied in the Building Information Modelling (BIM) Maturity Level 3, which focuses on fully integrated collaboration and open data standards and transfer. the main drivers of implementing semantic web technologies in a multi-data environment like the AEC industry are to overcome interoperability issues, link across domains, and facilitate logical inference and proof. the construction execution phase encompasses multiple stakeholders delivering data from multiple domains in heterogeneous formats, which needs to be put to better use for optimal project delivery. thus, this study explores how semantic web technology can be applied for BIM-based project management and control during the execution phase through a comprehensive review of the literature to identify existing semantic web applications and their limitations to determine the gaps in knowledge. the development of ifcOWL ontology has spurred attention on developing domain ontologies to be integrated with the ifcOWL for the seamless automation of construction activities. the study identified several ontology-based semantic web applications for project control in a BIM-based environment, for example, 4Dcollab ontology for Synchronous Collaboration Sessions for decision making, LinkOnt for lookahead planning enabled construction constraint checking, CPPC ontology for construction product control, etc. Furthermore, many studies were recorded related to semantic web technology-based 4D BIM use cases, such as automated schedule generation, automated construction sequencing, collaboration, and constraint checking. A consistent idea across these studies is the emphasis on the need for knowledge modelling leveraging data accumulated through both pre-construction and construction

关键词： Project management

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Real-time Trajectory Planning for Redundant 7-dof Space Manipulators with Unknown Link Lengths

Real-time Trajectory Planning for Redundant 7-dof Space Mani...

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robotics, control and automation (ICRCA), international conference on

作者： Jian Liu Zhiqi Li Shicai Shi Minghe Jin State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

ISBN: (数字)9798331544577

ISBN: (纸本)9798331544584

Trajectory planning for redundant space manipulators in complex spatial environments is critical for ensuring successful on-orbit task execution, especially when the manipulator’s link lengths are unknown. Traditional algorithms struggle to establish the transformation between task space and joint space under such conditions, posing significant challenges to autonomous trajectory planning. this study proposes a novel trajectory planning method for a seven-degree-of-freedom redundant space manipulator with a shoulder-wrist offset. the method utilizes a trained pose control decision system to generate continuous, smooth, and singularity-free trajectories in real time, satisfying positional and orientational accuracy requirements for target capture. A neural network with strong nonlinear fitting capabilities is employed as the position control decision module for joints 1-4, trained using a "cautious exploration, greedy exploitation" strategy for efficient and safe trajectory optimization. For joints 5-7, an analytical orientation control decision module adjusts the end-effector’s attitude. Together, these modules form a pose control decision system that adheres to constraints on joint angular velocity, acceleration, and singularity avoidance. the proposed approach is validated through simulations in both static and dynamic scenarios, with simulation results confirming its effectiveness.

关键词： Accuracy Trajectory planning Simulation Position control Aerospace electronics Manipulators control systems Real-time systems Angular velocity Manipulator dynamics

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Efficient and Accurate Template-based Reconstruction of Deformable Surfaces

Efficient and Accurate Template-based Reconstruction of Defo...

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international conference on control, automation, robotics and Vision (ICARCV)

作者： Dominik Slomma Shoudong Huang Liang Zhao Faculty of Engineering and Information Technology Robotics Institute University of Technology Sydney Australia School of Informatics The University of Edinburgh Scotland

ISBN: (数字)9798331518493

ISBN: (纸本)9798331518509

3D surface reconstruction in deformable environments presents significant challenges. Template-based methods have proven robust for achieving accurate reconstructions by utilising images and textured triangulated meshes as reference data. these methods rely on feature detection in both the reference and current images to establish corresponding points, leveraging reprojection and deformation constraints for precise reconstruction. However, challenges arise when features are not uniformly distributed across mesh triangles, potentially resulting in sparse or coarse reconstructions. Moreover, the combined computational cost of reprojection and deformable constraints often leads to prolonged optimisation times. this study aims to enhance efficiency in reconstructing deformations within the field of view. Our approach involves back-projecting vertices from a reference mesh onto the reference image plane and subsequently tracking them directly in the subsequent image. this method assumes the resulting observations are sufficiently accurate, encoding the deformation within this information. By eliminating the re-projection constraint and focusing solely on a deformation constraint based on Euclidean distances between vertices, we significantly reduce computational and memory costs. the results of our proposed algorithm demonstrate a notable reduction in computational cost and memory cost, while maintaining reconstruction accuracy comparable to related methods. the code of our algorithm is publicly available at https://***/DominikSlomma/Efficient-and-Accurate-Template-based-Reconstruction-of-Deformable-Surfaces

关键词： Surface reconstruction Accuracy three-dimensional displays Costs Deformation Linear programming Computational efficiency Image reconstruction Optimization Robots

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A Descriptive Research on Internet of things Implementation in Healthcare Sector 5

A Descriptive Research on Internet of Things Implementation ...

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5th international conference on Contemporary Computing and informatics, IC3I 2022

作者： Veeraiah, Vivek Ravi Kumar, G.K. Singh, Devesh Pratap Chaudhary, Akshita Elkady, Ghada Ross, Dhyana Sharon Adichunchanagiri University Department of Computer Science Karnataka Mandya India Adichunchanagiri University Department of Computer Science and Engineering Karnataka Mandya India Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun India RCCV Girls College Department of Computer Science and Application Uttar Pradesh Ghaziabad India College of International Transport & Logistics Arab Academy for Science Technology & Maritime Transport Cairo Egypt Tamil Nadu Chennai India

ISBN: (纸本)9798350398267

the Web of things (IoT) is critical for the virtual change in medication because it provides innovative business models to facilitate and promote improvements in practice operations, control costs, enhance productivity, and improve patients' experiences. the use of innovative IoT techniques in personalized health, however, remains incredibly challenging due to several issues, such as incoherent IoT program structures, diversity among connected wearable devices, a lack of accurate and affordable smart medical sensors, the complexity of the generated data, and an increased need for interoperability. this research delves at the history of IoT in healthcare, with a focus on how these technologies are being used to the rapidly expanding area of personalized medicine. It covers both common health scenarios and cutting-edge, intricate methods generated from the Internet of things. It highlights the scientific, ethical, and economic challenges of developing a better medical system for early illness detection. At long last, the Web of things (IoT) is permitting present-day medication to answer the requests rapidly of the time by creating a platform for communication across different health sectors, providing digital help at every stage, and so on. © 2022 IEEE.

关键词： Internet of things

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