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(Re)deployment of smart algorithms in Cyber-Physical Production Systems Using DSL4hDNCS

PROCEEDINGS OF THE IEEE 2021年第4期109卷 542-555页

作者： Vogel-Heuser, Birgit Trunzer, Emanuel Hujo, Dominik Sollfrank, Michael Tech Univ Munich Inst Automat & Informat Syst D-85748 Garching Germany

Intelligent algorithms and learning are the basis for evolving smart cyber-physical production systems (CPPSs) and Industrie 4.0. A smart image detection algorithm shall be added to reduce downtime due to the extended operation of glass bottles in a yogurt producing plant. To support the engineers in doing so, a comprehensive domain-specific language (DSL), DSL4hDNCS, is introduced, enabling rapid analysis, addressing hardware/software architectures and network-related delays and uncertainties. DSL4hDNCS is defined by a metamodel to avoid ambiguity and enriched by aspects, such as safety, calculation power, and network transmission time. DSL4hDNCS is used to compare (re)deployment alternatives using different technologies, such as edge, fog, and cloud to implement the additional smart algorithm. The evaluation of DSL4hDNCS using an acknowledged Industrie 4.0 demonstrator plant as a case study confirmed the benefit for engineers during the redesign.

关键词： Hardware smart manufacturing Unified modeling language Real-time systems DSL Computer architecture Safety Fourth Industrial Revolution Cyber-physical systems Networked control systems Domain specific languages Programmable logic devices Cyber– physical production system (CPPS) distributed networked control systems (DNCSs) domainspecific language (DSL) programmable logical controller smart algorithms smart manufacturing

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Decoding development: the AI frontier in policy crafting: A systematic review

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DATA & POLICY 2025年 7卷 e31-e31页

作者： Anggunia, Sofiarti Dyah Sowell, Jesse Perez-Ortiz, Maria UCL Dept Sci Technol Engn & Publ Policy STEaPP London England UCL Ctr Artificial Intelligence Dept Comp Sci London England

In today's world, smart algorithms-artificial intelligence (AI) and other intelligent systems-are pivotal for promoting the development agenda. They offer novel support for decision-making across policy planning domains, such as analysing poverty alleviation funds and predicting mortality rates. To comprehensively assess their efficacy and implications in policy formulation, this paper conducts a systematic review of 207 publications. The analysis underscores their integration within and across stages of the policy planning cycle: problem diagnosis and goal articulation;resource and constraint identification;design of alternative solutions;outcome projection;and evaluation. However, disparities exist in smart algorithm applications across stages, economic development levels, and Sustainable Development Goals (SDGs). While these algorithms predominantly focus on resource identification (29%) and contribute significantly to designing alternatives-such as long-term national energy policies-and projecting outcomes, including predicting multi-scenario land-use ecological security strategies, their application in evaluation remains limited (10%). Additionally, low-income nations have yet to fully harness AI's potential, while upper-middle-income countries effectively leverage it. Notably, smart algorithm applications for SDGs also exhibit unevenness, with more emphasis on SDG 11 than on SDG 5 and SDG 17. Our study identifies literature gaps. Firstly, despite theoretical shifts, a disparity persists between physical and socioeconomic/environmental planning applications. Secondly, there is limited attention to policy-making in development initiatives, which is critical for improving lives. Future research should prioritise developing adaptive planning systems using emerging powerful algorithms to address uncertainty and complex environments. Ensuring algorithmic transparency, human-centered approaches, and responsible AI are crucial for AI accountability, trust, and credibi

关键词： artificial intelligence decision-making development planning machine learning policy-making planning policy smart algorithms sustainable development goals

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Power Quality State Estimator for smart Distribution Grids

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IEEE TRANSACTIONS ON POWER SYSTEMS 2013年第3期28卷 2183-2191页

作者： Farzanehrafat, A. Watson, Neville R. Univ Canterbury Elect & Comp Engn Dept Christchurch 8020 New Zealand

The importance of power quality issues, due to the significant losses for poor power quality, has resulted in research being focused on extending the concept of state estimation techniques into power quality issues. Under the umbrella of power quality state estimation (PQSE) as a smart algorithm, this paper focuses on one type, transient state estimation (TSE). The formulation of a new three-phase transient state estimator is given and its application to a realistic system demonstrated. The accuracy of the new transient state estimator is investigated by application to a test system to identify the cause of a voltage dip/sag in the presence of 5% measurement noise (normally distributed) in all the measurements.

关键词： Power quality state estimation smart algorithms state estimation transient state estimation

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Sharing strategy development of a cloud energy storage system in energy management of a microgrid considering sustainable and telecommunication-assisted architecture

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IET GENERATION TRANSMISSION & DISTRIBUTION 2023年第8期17卷 1750-1765页

作者： Khoshniyyat, Saeid Majidzadeh, Maryam Van YUZUNCU YIL Univ Fac Architecture & Design Van Turkey Tech & Vocat Univ TVU Dept Elect Engn 4 East Brazil St Tehran Iran

This paper explores residential microgrids (MG) which not only deploy smart algorithms and energy management strategies for appliances scheduling but also make benefit of insulated wall structures and modern windows ending to smart buildings with sustainable architecture. This amendment is shown to have a remarkable effect on avoiding thermal energy losses and hence lowering energy consumption of heat, ventilation, and air conditioning system (HVAC) in smart and sustainable homes. Moreover, frequency selective surfaces applied in modern windows are shown to greatly improve in-service telecommunication signal transfer ratio, assuring a reliable communication for inhabitants. The proposed model adopts the most recent concept of cloud energy storage system (CESS) unit to provide a public access to charge/discharge capacity for smart home owners. Accordingly, a simple but applicable capacity sharing strategy of CESS is developed for the energy exchanges of smart homes in the MG. By establishing such an access to CESS, the proposed model allocates optimal shares of charge/discharge capacities for home owners, minimizes the daily operation cost of each home and grants an optimal operation of household appliances. The proposed model is formulated as a mixed integer linear programming (MILP) problem and is assessed in several operating strategies.

关键词： energy conservation telecommunication-assisted architecture Optimisation techniques Power system management, operation and economics simple but applicable capacity sharing strategy air conditioning system air conditioning insulated wall structures in-service telecommunication signal transfer ratio energy exchanges energy storage energy management systems operating strategies sustainable homes building management systems cloud energy storage system unit microgrid HVAC strategy development distributed power generation energy consumption integer programming smart buildings energy management strategies domestic appliances frequency selective surfaces smart algorithms Power engineering computing residential microgrids appliances scheduling power engineering computing linear programming grants modern windows smart homes Domestic appliances optimal shares CESS Distributed power generation sustainable architecture thermal energy losses smart home owners

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Decentralized three-phase distribution system static state estimation based on phasor measurement units

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ELECTRIC POWER SYSTEMS RESEARCH 2018年第Jul.期160卷 327-336页

作者： de Oliveira, Braulio Cesar Pereira, Jose L. R. Alves, Guilherme de O. Melo, Igor D. de Souza, Matheus A. Garcia, Paulo A. N. Fed Univ Juiz de Fora UFJF Dept Elect Engn Juiz De Fora Brazil TBE Sao Paulo Brazil

This paper presents a novel approach for static state estimation in electrical distribution systems, in which the state variables to be estimated are branch currents in rectangular coordinates. Branch current and voltage phasors are measured from a reduced number of PMUs located along a non fully observable electrical distribution system with radial topology. For the non-monitored buses, load pseudo-measurements are considered as a set of inequality constraints varying between upper and lower limits, which are adjusted during the safety barrier interior point optimization solution process (SBIPM). In order to track daily load variations, the initial load limits for the next time interval are obtained from the actual estimated loads at the non-monitored buses, considering the percentage of power variation at the exit of each lateral feeder. At each iteration of the SBIPM solution process, if any load is set to its corresponding limit, then a new limit margin is set accordingly, meaning that at the end of the solution process all the non-monitored loads are within specified bounds. The distribution network is also subdivided into subsystems considering a PMU allocation procedure in which each lateral feeder is estimated individually, yielding a naturally decentralized state estimator. In this decentralization context, priority loads, such as hospitals, police stations, telecom centers and places with high load density concentration can be considered as monitored subareas, exploring the radial topology of the distribution system. Tests are conducted on IEEE 33 bus test feeder and compared with an existing method in the literature to show the effectiveness of the proposed algorithm. Another simulation was conducted on a long lateral feeder of 57 bus in order to show the possibility of using the proposed technique for large scale distribution systems. (C) 2018 Elsevier B.V. All rights reserved.

关键词： State estimation Phasor measurement units Distribution systems Interior point method smart algorithms

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smart Low-Cost Control System for Fish Farm Facilities

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APPLIED SCIENCES-BASEL 2024年第14期14卷 6244页

作者： Parra, Lorena Sendra, Sandra Garcia, Laura Lloret, Jaime Univ Politecn Valencia Inst Invest Gest Integrada Zonas Costeras Carretera Nazaret Oliva s-n Gandia 46730 Spain Univ Politecn Cartagena Dept Informat & Commun Technol Plaza Hosp 2 Cartagena 30202 Spain

Projections indicate aquaculture will produce 106 million tonnes of fish by 2030, emphasizing the need for efficient and sustainable practices. New technologies can provide a valuable tool for adequate fish farm management. The aim of this paper is to explore the factors affecting fish well-being, the design of control systems for aquaculture, and the proposal of a smart system based on algorithms to improve efficiency and sustainability. First, we identify the domains affecting fish well-being: the production domain, abiotic domain, biotic domain, and control systems domain. Then, we evaluate the interactions between elements present in each domain to evaluate the key aspects to be monitored. This is conducted for two types of fish farming facilities: cages in the sea and recirculating aquaculture systems. A total of 86 factors have been identified, of which 17 and 32 were selected to be included in monitoring systems for sea cages and recirculating aquaculture systems. Then, a series of algorithms are proposed to optimize fish farming management. We have included predefined control algorithms, energy-efficient algorithms, fault tolerance algorithms, data management algorithms, and a smart control algorithm. The smart control algorithms have been proposed considering all the aforementioned factors, and two scenarios are simulated to evaluate the benefits of the smart control algorithm. In the simulated case, the turbidity when the control algorithm is used represents 12.5% of the turbidity when not used. Their use resulted in a 35% reduction in the energy consumption of the aerator system when the smart control was implemented.

关键词： aquaculture monitoring system wireless sensor network sea cages RAS smart algorithms

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Thermographic techniques and adapted algorithms for automatic detection of foreign bodies in food

Thermographic techniques and adapted algorithms for automati...

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Conference on Thermosense XXV

作者： Meinlschmidt, P Märgner, V Fraunhofer Inst Holzforsch D-38108 Braunschweig Germany

ISBN: (纸本)0819449326

At the beginning of the paper, the different methods of capturing thermographic images like pulse and online thermography are explained. Afterwards, the capability of these techniques to differentiate between foreign bodies and food is shown in different examples like hazelnuts contaminated with rotten nuts, stones and hard shells or winegums spoilt with wood particles. For an automatic detection and separation of foreign bodies from a food stream, different specially adapted algorithms are needed. Finally, different techniques like heat dissipation, histogram analysis, texture analysis and an object oriented method are compared to show the quality and reliability of the different methods applied to different materials.

关键词： foreign substances foreign bodies food industry pulse thermography online thermography pulse thermography image processing smart algorithms

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Constructing Legal Order in an Intelligent Society

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Frontiers of Law in China-Selected Publications from Chinese Universities 2022年第1期17卷 1-32页

作者： ZHANG Wenxian School of Philosophy and Sociology Jilin UniversityChangchun 130012China

Legal order originated in a land-centered agricultural society,having now gone through a market-centered industrial society and a network-centered information *** the rise of the intelligent society,it is transforming into an algorithmcentered legal order of an intelligent ***"digital""networking""intelligent"revolution brought by the intelligent technologies including big data,cloud computing,the Internet,blockchain,and artificial intelligence(AI),has been causing critical challenges to the current legal order,and has generated powerful momentum for construction of fresh legal order featuring scientificness,people centeredness,justice,inclusiveness and *** of such a new jurisprudential legal order to solve this intelligent society's"governance deficit"is an urgent *** is a need to set up a new foundation on which an intelligent society can build steady and lasting progress.

关键词： intelligent society governance smart algorithms governance deficit information society digital human rights rational legal order

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Detection of Nonconformities in Monitoring System's measurements

Detection of Nonconformities in Monitoring System's measurem...

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IEEE PES 2nd Latin American Conference on Innovative smart Grid Technologies (ISGT Latin America)

作者： Nicoli, S. Jardini, J. A. Magrini, L. C. Miranda, C. D. M. Univ Sao Paulo Escola Politecn EPUSP Sao Paulo Brazil

ISBN: (纸本)9781467352741;9781467352727

This paper focuses on the use of intelligent computational methods and data mining technology applied to interpretation of measurements obtained from instruments of a hydroelectric dam that will signals the occurrence of an unusual value. This analysis is done considering the latest measurement collected and comparing this individual value with previous measurements already saved at historical database. This analysis is periodically done by an intelligent algorithm that produces a warning report if the latest value collected from the instrument is not compatible with the historical behavior learned from the past measurements. A modified HOT SAX algorithm is proposed for this analysis since this method was originally conceived for a fixed size time series and not for continuous data acquisition.

关键词： HOT SAX hydroelectric dam measurements smart algorithms time series analysis

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Proposed Management System and Response Estimation Algorithm for Motorway Incidents

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ENERGIES 2021年第10期14卷 2736页

作者： Kontogiannis, Sotirios Asiminidis, Christodoulos Univ Ioannina Dept Math Lab Team Distributed Microcomp Syst Ioannina 45110 Greece

Motorway's personnel tasks management and incidents monitoring, and response are critical processes that contribute to the motorway's orderly and smooth operation. Existing management practices utilize SCADA technologies that control motorway actuator systems as well as various means of personnel communications mobile technologies. Nevertheless, contemporary motorways lack a unified incident response solution that tracks resources, sends notification alerts when necessary, and automates incident resolution. This paper presents a new holistic and unified management and response system called Resources Management System (RMS). This system was originally implemented as a generic motorways resources management system for the EGNATIA ODOS motorway that uses it in Greece. The implemented RMS provides real-time resources tracking, personnel utilization algorithms, and data mining capabilities towards incident confrontation. It operates as an incidents' collection and resources central communication interface. It is also capable of incident response and completion time categorization;real-time tunnel exits sensory monitoring, staff mobilization, and tracking system. Furthermore, the RMS includes machine learning methodologies and smart agents (bots) for solving the problem of estimating and evaluating the response and completion time of incidents based on previous successful incidents' confrontations.

关键词： distributed sensory systems Resources Management Systems incident response systems location management IoT data mining knowledge mining machine learning smart algorithms

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