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检索条件"任意字段=Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems"

共 1613 条记录，以下是61-70 订阅

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PaPoC 2023 - proceedings of the 10th Workshop on Principles and Practice of Consistency for distributed Data, Part of: EuroSys 2023

PaPoC 2023 - Proceedings of the 10th Workshop on Principles ...

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10th Workshop on Principles and Practice of Consistency for distributed Data, PaPoC 2023, Held in conjunction with the EuroSys 2023 conference

ISBN: (纸本)9798400700866

the proceedings contain 12 papers. the topics discussed include: probabilistic causal contexts for scalable CRDTs;trees and turtles: modular abstractions for state machine replication protocols;verify, and then trust: data inconsistency detection in ZooKeeper;generic checkpointing support for stream-based state-machine replication;performance trade-offs in transactional systems;a study of semantics for CRDT-based collaborative spreadsheets;AMC: towards trustworthy and explorable CRDT Applications with the automerge model checker;towards improved collaborative text editing CRDTs by using natural language processing;for-each operations in collaborative apps;on extend-only directed Posets and derived byzantine-tolerant replicated data types;and data management for mobile applications dependent on geo-located data.

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Modeling of Annual and Daily Electricity Demand of Retrofitted Heat Pumps based on Gas Smart Meter Data 23

Modeling of Annual and Daily Electricity Demand of Retrofitt...

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10th acm international conference on systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys)

作者： Bayer, Daniel R. Pruckner, Marco Univ Wurzburg Wurzburg Germany

ISBN: (纸本)9798400702303

Currently, gas furnaces are common heating systems in Europe. Due to the efforts for decarbonizing the complete energy sector, heat pumps should continuously replace existing gas furnaces. At the same time, the electrification of the heating sector represents a significant challenge for the power grids and their operators. thus, new approaches are required to estimate the additional electricity demand to operate heat pumps. the electricity required by a heat pump to produce a given amount of heat depends on the Seasonal Performance Factor (SPF), which is hard to model in theory due to many influencing factors and hard to measure in reality as the heat produced by a heat pump is usually not measured. therefore, we show in this paper that collected smart meter data forms an excellent data basis on building level for modeling heat demand and the SPF. We present a novel methodology to estimate the mean SPF based on an unpaired dataset of heat pump electricity and gas consumption data taken from buildings within the same city by comparing the distributions using the Jensen-Shannon Divergence (JSD). based on a real-world dataset, we evaluate this novel method by predicting the electricity demand required if all gas furnaces in a city were replaced by heat pumps and briefly highlight possible use cases.

关键词： sector coupling heat pump demand estimation digital twins building simulation

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A Trajectory Estimation Method from Spatially Sparse and Noisy Beacon Data based on Spring Dynamics 23

A Trajectory Estimation Method from Spatially Sparse and Noi...

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10th acm international conference on systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys)

作者： Maruyama, Junya Honma, Yudai Nishiyama, Yuuki Kawahara, Yoshihiro Univ Tokyo Tokyo Japan

ISBN: (纸本)9798400702303

Analysis of trajectory data within buildings offers insights for optimizing environmental design and habitability. However, data from indoor location sensors tend to be sparse and noisy. this makes it difficult for conventional route estimation models to be applied effectively. Our study seeks to derive detailed, temporally, and spatially rich trajectory data from this compromised sensor information. We achieve this by interpreting trajectories as continuous stay points. To facilitate this, we introduce a building corridor network that conceptualizes buildings as a series of points. Routes are inferred using a sequence estimation model applied to this network. this approach employs spring dynamics, which balance the resistance to staying with the attraction to specific beacons, via mathematical optimization. Notably, our model can deduce a trajectory of 131 points from only 15 beacons with, an accuracy rate of 87%. Our method presents a promising avenue for capturing extensive route data.

关键词： Architectural Space Building corridor Network Human trajectory

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Towards a Benchmark for ML-based Building Load Forecasting Model Selection for a Target Building 23

Towards a Benchmark for ML-based Building Load Forecasting M...

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10th acm international conference on systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys)

作者： Deng, Yang Liang, Rui Fan, Jiaqi Li, Ao Wang, Dan Hong Kong Polytech Univ Hong Kong Peoples R China

ISBN: (纸本)9798400702303

Building load forecasting (BLF) is important for many building applications. And we see an increasing number of ML-based BLF models developed. Unfortunately, the existing published models are usually only tested by the overall accuracy, and their in-usage performance is unknown to a target building (with some specified characteristics). therefore, the practitioner may select a model with unacceptable accuracy while deployed in use. We argue that the main problem is that buildings have heterogeneity and there is no effective solution to compare BLF models. In this paper, we propose a new evaluation methodology to evaluate the BLF model and hence can promote model selection for a target building. the challenge is to specify "what to evaluate". We categorize the building types from three perspectives and we propose the corresponding concerns for the perspectives. Our methodology specifies the tests, i.e., for each building type, the in-usage concerns that should be tested. We conduct a small-scale BLF model benchmarking on these concerns. We evaluated our methodology using two case studies.

关键词： Buildings

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Agent-based Orchestration on a Swarm of Edge Devices 23

Agent-based Orchestration on a Swarm of Edge Devices

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17th acm international conference on distributed and event-based systems, DEBS 2023

作者： Anuraj, Banani University of Applied Sciences and Arts Western Switzerland HES-SO Sierre Switzerland

ISBN: (纸本)9798400701221

the proliferation of smart devices, sensors, autonomous robots, drones, and other similar instruments have profoundly changed the way of implementing and deploying systems in industrial and home environments, for diverse scenarios such as smart agriculture, healthcare, or manufacturing. Devices in these settings are not limited to simply observe and acquire data for monitoring, but they are also equipped with actuation capabilities, as well as the possibility of autonomously processing the incoming data through various techniques. However, given their intrinsic limitations regarding the capacity to store and process computations, it is often necessary to delegate some of these processing tasks to intermediary edge nodes in the network. these nodes, given their unique position can act as orchestrators guiding the decentralized work of the interconnected autonomous devices. Beyond static and pre-defined organization structures, in this work we propose the usage of agent and multi-agent-based models for designing and implementing swarms of edge nodes, conceived to dynamically orchestrate other devices, while meeting quality of service conditions. Allowing the control of intelligent edge nodes as conveyors and orchestrators on swarms of devices, we aim at providing intelligence to the self-organization of edge nodes, which may interchange streaming data, and represent their own capabilities through semantic models. Swarm-inspired behavioral patterns would guide the collaborative distribution of their computational tasks. Finally, we will implement and demonstrate the proposed technologies in an elderly home environment powered with a host of edge computing, sensing, and actuating devices. © 2023 Owner/Author(s).

关键词： Sensor networks

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Overcoming Data Scarcity through Transfer Learning in CO2-based Building Occupancy Detection 23

Overcoming Data Scarcity through Transfer Learning in CO2-Ba...

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10th acm international conference on systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys)

作者： Weber, Manuel Banihashemi, Farzan Mandl, Peter Jacobsen, Hans-Arno Mayer, Ruben Munich Univ Appl Sci HM Munich Germany Tech Univ Munich Munich Germany Univ Toronto Toronto ON Canada Univ Bayreuth Bayreuth Germany

ISBN: (纸本)9798400702303

Knowing indoor occupancy states is crucial for energy optimization in buildings. While neural networks can effectively be used to detect occupancy based on carbon dioxide measurements, their application is impeded by the need for sufficient labeled training data. In this study, we analyze the prediction performance of three different transfer learning (TL) methods leveraging target room data jointly with data from other rooms. the methods include (1) pretraining and fine-tuning, (2) layer freezing, and (3) domain-adversarial learning. Using data from five real-world rooms and one simulated room, including multiple room types, we provide the most extensive evaluation of TL in the field of occupancy prediction from environmental variables to date. this work's contribution further includes the architecture and hyperparameters of a deep CNN-LSTM model for CO2-based occupancy detection. Our results indicate that TL effectively reduces the required amount of target room data. Moreover, while previous literature was focused on pretraining with related real-world data, we show that similar performance can be achieved by the more practical approach of leveraging simulated data.

关键词： Transfer Learning Deep Learning CNN-LSTM Building Occupancy Detection Indoor Carbon Dioxide

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Knowledge Representation and Reasoning of Strong System Confrontation Process based on Spatio-Temporal event Evolution Information Flow and Software 10

Knowledge Representation and Reasoning of Strong System Conf...

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10th international conference on Dependable systems and their Applications, DSA 2023

作者： Shi, Hongquan Gong, Jinbo Dalian Naval Academy Liaoning Dalian China Wuhan University of Technology Hubei Wuhan China

ISBN: (纸本)9798350304770

With the advancement of modern warfare, the battlefield differs from traditional warfare and tends to involve strong system confrontations, involving multiple platforms and systems. the combat process is also more focused on military information systems, including the sharing of information and the process of command decision-making. this article studies the knowledge expression and reasoning process of strong system confrontation based on spatio-temporal event evolution information flow. By uniformly describing combat data and situational information, knowledge sharing and storage are facilitated. based on temporal situational data, an event graph model is proposed for knowledge expression, and the relevant concepts and construction processes are defined. On this basis, logical relationships between events within and between events are expressed using AND/OR graphs. based on this knowledge expression model, the AP clustering method is used to abstract a large number of events, extract key information, and use it for knowledge reasoning. the use of event graphs and AND/OR graphs enables computers to better understand human language, and a unified description framework makes shared knowledge possible. © 2023 IEEE.

关键词： Knowledge representation

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Real-World Implementation of Reinforcement Learning based Energy Coordination for a Cluster of Households 23

Real-World Implementation of Reinforcement Learning Based En...

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10th acm international conference on systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys)

作者： Gokhale, Gargya Tiben, Niels Verwee, Marie-Sophie Lahariya, Manu Claessens, Bert Develder, Chris Univ Ghent imec IDLab Ghent Belgium Univ Ghent imec IDLab Beebop ai Ghent Belgium

ISBN: (纸本)9798400702303

Given its substantial contribution of 40% to global power consumption, the built environment has received increasing attention to serve as a source of flexibility to assist the modern power grid. In that respect, previous research mainly focused on energy management of individual buildings. In contrast, in this paper, we focus on aggregated control of a set of residential buildings, to provide grid supporting services, that eventually should include ancillary services. In particular, we present a real-life pilot study that studies the effectiveness of reinforcement-learning (RL) in coordinating the power consumption of 8 residential buildings to jointly track a target power signal. Our RL approach relies solely on observed data from individual households and does not require any explicit building models or simulators, making it practical to implement and easy to scale. We show the feasibility of our proposed RL-based coordination strategy in a real-world setting. In a 4-week case study, we demonstrate a hierarchical control system, relying on an RL-based ranking system to select which households to activate flex assets from, and a real-time PI control-based power dispatch mechanism to control the selected assets. Our results demonstrate satisfactory power tracking, and the effectiveness of the RL-based ranks which are learnt in a purely data-driven manner.

关键词： Demand Response Reinforcement Learning Building Cluster Coordination Advantage function

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event-Triggered and Quantized distributed Formation Control of Mobile robots 10

Event-Triggered and Quantized Distributed Formation Control ...

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10th RSI international conference on Robotics and Mechatronics (ICRoM)

作者： Mahmoodtabar, Erfan Khanmirza, Esmaeel Iran Univ Sci & Technol Sch Mech Engn Tehran Iran

ISBN: (纸本)9781665454520

this paper considers the formation control problem of mobile robots over a network with limited communication bandwidth. To deal with this problem, we proposed an event-triggered and quantized distributed controller based on an encoder-decoder mechanism. In this scheme, each agent can only send finite-bit symbolic data to its neighbors. the proposed event function is novel and modified for the formation problem. the feasibility of the presented scheme is shown by numerical simulation.

关键词： Multi-agent systems distanced-based formation event-triggered coder-decoder quantizer

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A distributed event-Orchestrated Digital Twin Architecture for Optimizing Energy-Intensive Industries 10

A Distributed Event-Orchestrated Digital Twin Architecture f...

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10th international conference on Internet of things, Big Data and Security, IoTBDS 2025

作者： Bertozzi, Nicolò Geraci, Anna Bergamasco, Letizia Ferrera, Enrico Pristeri, Edoardo Pastrone, Claudio Fondazione Links Via Pier Carlo Boggio 61 Turin10138 Italy Department of Control and Computer Engineering Politecnico di Torino Corso Duca degli Abruzzi 24 Turin10129 Italy

ISBN: (纸本)9789897587504

this paper presents a novel distributed architecture designed to spawn digital twin solutions to improve energy efficiency in energy-intensive industrial scenarios. By executing user-defined workflows, our platform enables the implementation of real-time monitoring, forecasting, and simulation microservices to enhance decision-making strategies for optimizing industrial processes. Leveraging a stateless centralized orchestration mechanism built around an Apache Kafka-based backbone, the platform ensures scalability, fault tolerance, and efficient handling of heterogeneous data. Key features include intuitive workflow configuration, asynchronous communication for streamlined workflow execution, and API-driven scheduling for dynamic, event-based task management. this platform will be deployed and validated in several energy-intensive industrial scenarios, supporting the management of energy systems of different plants, to prove its effectiveness across a wide range of energy management challenges. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Foundries

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