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Towards AI-Enabled Assistant Design Through Grassroots modeling: Insights from a Practical Use Case in the Industrial Sector 21st

Towards AI-Enabled Assistant Design Through Grassroots Model...

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21st International conference on Perspectives in Business Informatics Research (BIR) - Business Informatics for Sustainable Innovation

作者： Dhiman, Hitesh Fellmann, Michael Roecker, Carsten TH OWL Univ Appl Sci & Arts Lemgo Germany Univ Rostock Rostock Germany Fraunhofer IOSB INA Lemgo Germany

ISBN: (纸本)9783031169465;9783031169472

Process modeling is used to understand a business process and to document requirements, but is mostly formalized and limited to modeling experts. This can be a problem when designing interactive systems that incorporate AI elements, since the design can fail to take into account tacit knowledge and context-specific requirements of people that execute the process. While recent discourse has highlighted this gap and called for an exploration into light-weight, grassroots modeling techniques that can be used to model everyday work, it is still unclear how these can be harnessed to design information systems that support work. The aim of this paper is to showcase how a triangulated approach combining three different perspectives - grassroots modeling, theoretical grounding, and first person media, can be used to collaboratively model an informal work activity and design an AI-enabled system to instruct novices to perform that activity. Our experience confirms the assertion that, when provided with the necessary scaffolding, experts without any formal modeling experience can be supported to model their specific, local activities and, in doing so, contribute valuable knowledge to the design of information systems.

关键词： Grassroots modeling Worker assistant Worker assistance system Activity theory Event storming Artificial intelligence Information systems

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Changing the Game-Enhanced OTEC system Design

Changing the Game-Enhanced OTEC System Design

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2023 Offshore Technology conference, OTC 2023

作者： Robinson, Roy Engelmann, Georg Excipio Energy Inc

ISBN: (纸本)9781613999745

Ocean Thermal Energy Conversion, better known as OTEC is a base load power source that runs on the temperature difference between warm surface water and cold depths. Generally, the accepted minimum temperature difference is 18°C, with a minimum surface water temperature of 25°C. The maximum possible thermal efficiency of these systems is 3% to 7% and requires massive flows of seawater. The concept was first developed in the 1890's but has struggled since then, with every commercial scale system to date suffering failures on the cold water riser due to required pipe diameter (up to 14m being considered) and the required water depth to reach the cold waters, usually taken as greater than 1000 meters. This paper presents the thermodynamic analysis of an Enhanced OTEC system that will allow for an order of magnitude reduction in the size of the down risers. This enhancement should both improve the performance of the OTEC system and reduce the cost, bringing the Levelized Cost of Energy on par with Offshore Wind. Using computer modeling the new system is compared to a conventional system's performance. A comparison using a thermodynamics and energy balance, outputs of the models are used to confirm that the increase in power and a reduction required riser size are possible. The new system provides significant improvements in terms of performance, while adding some mechanical complexity, in the form of a second closed fluid loop. The Enhanced OTEC system (E-OTEC) will bring this century old technology into the 21st century as a leading source of clean energy. It is unlike any existing OTEC system. © 2023, Offshore Technology conference.

关键词： Surface waters

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21st International conference on Mathematical optimization Theory and Operations Research , MOTOR 2022

21st International Conference on Mathematical Optimization T...

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21st International conference on Mathematical optimization Theory and Operations Research , MOTOR 2022

ISBN: (纸本)9783031162237

The proceedings contain 24 papers. The special focus in this conference is on Mathematical optimization Theory and Operations Research. The topics include: An Experimental Analysis of Dynamic Double Description Method Variations;conditions for the Fixed Points Existence of Locally Indecomposable Subhomogeneous Maps;one Relaxed Variant of the Proximal Level Method;procedures for Updating Immersion Sets in the Cutting Method and Estimating the Solution Accuracy;synthesis of Motion Control of Rod Heating Sources with optimization of Places for Measuring states;stability of Persons’ Pareto Behavior with Respect to Different Mechanisms in Resource Allocation Game Experiments;network Centralities Based on Non-additive Measures;optimal Control of Output Variables Within a Given Range Based on a Predictive Model;recent Advances in Sphere Packing Problems;an optimization Approach to the Robust Control Law Design for a Magnetic Levitation system;optimal strategies of Consumers with Energy storages in Electricity Market;variational Autoencoders for Precoding Matrices with High Spectral Efficiency;Spectrum Allocation in Optical Networks: DSatur Coloring and Upper Bounds;comparison of Reinforcement Learning Based Control Algorithms for One Autonomous Driving Problem;genetic Algorithm for the Variable Sized Vector Bin-Packing Problem with the Limited Number of Bins;an Approximation Algorithm for Graph Clustering with Clusters of Bounded Sizes;approximation Non-list Scheduling Algorithms for Multiprocessor system;approximate Algorithms for Some Maximin Clustering Problems;parameter Analysis of Variable Neighborhood Search Applied to Multiprocessor Scheduling with Communication Delays;competitive Location strategies in the (r ∣ p)-Centroid Problem on a Plane with Line Barriers;cascade Merge of Aircraft Flows as Mixed Integer Linear Programming Problem;preface.

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Energy optimization of Distributed Video Processing system in Dynamic Environment

Energy Optimization of Distributed Video Processing System i...

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Consumer Communications and Networking conference, CCNC IEEE

作者： Yang Lou Hideyuki Shimonishi Masayuki Murata Nattaon Techasarntikul Graduate School of Information Science and Technology Osaka University Osaka Japan Department of Computer Science National Yang Ming Chiao Tung University Hsinchu Taiwan

To create a future society based on cyber-physical systems, we need real-time digital twins made with cameras and sensors. The challenge is making this energy-efficient. A model in [1] suggests dividing video analysis tasks among terminals, edge servers, and cloud servers to minimize power consumption. This paper addresses energy optimization in dynamic environments with a two-level approach: detecting and categorizing environmental changes (LEC and SEC) and using a two-level adaptive evolutionary algorithm (TAEA) to make corresponding adjustments. A case study with a differential evolution algorithm demonstrates its effectiveness in minimizing energy costs and improving processing accuracy and latency violations.

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Creep Testing Machine Identification for Power system Load optimization 21st

Creep Testing Machine Identification for Power System Load O...

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21st Polish Control conference, PCC 2023

作者： Szulc, Michal Kasprzyk, Jerzy Loska, Jacek Lukasiewicz Research Network-Upper Silesian Institute of Technology Gliwice Poland Silesian University of Technology Gliwice Poland

ISBN: (纸本)9783031351693

This paper presents the results of an identification study of a three-zone furnace of a single-sample creep testing machine. The steps leading to obtaining a model are described, including: preparation of the test stand, determination of parameters of the identification experiment, identification of the dominant disturbances, selection of excitation signal, selection of model structure, validation of the obtained results, and analysis of possible nonlinearities. The description of the research includes information on the applied software compensator for disturbances caused by changes in the supply voltage, with the help of which they were reduced to a level that made it possible to conduct identification experiments. A model with three inputs and three outputs was identified as a MIMO, MISO and SISO structure. The advantages and disadvantages of each of these solutions are presented. The model was validated using step response experiments. The paper also presents a method for including static nonlinearity in the model. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Creep

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Load Flow Analysis and optimization for Smart Grid Integration in Power systems

Load Flow Analysis and Optimization for Smart Grid Integrati...

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Learning and Technology conference (L&T)

作者： Nora Alamoudi Fatima Baqais Lama Mustafa Enfel Barakat Electrical and Computer Engineering Department Effat University Jeddah Saudi Arabia

The evolution of traditional power systems into smart grids has been pivotal in enhancing grid efficiency, stability, and sustainability. This study presents a comprehensive load flow analysis and optimization framework tailored for the integration of smart grid components, including hybrid photovoltaic (PV) and wind power systems, coupled with a Battery Management system (BMS) and a Unified Power Flow Controller (UPFC). The research developed a simulation model in Matlab to analyze the performance of a residential microgrid under normal and fault conditions. The results underscored the benefits of integrating distributed generation and intelligent control systems, demonstrating significant improvements in voltage regulation, line loadings, and overall system stability. The smart grid-integrated approach was compared with traditional load flow methods, revealing its superiority in accommodating renewable energy sources and enhancing grid resilience. The study concludes that intelligent control-based grid integration is not only feasible but also imperative for modern power systems, laying the groundwork for future advancements in smart grid technology.

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Optimizing Urban Layout: A system Dynamics, Artificial Intelligence, and 3D Urban Information Model Approach for Active Management of City Complexity 19

Optimizing Urban Layout: A System Dynamics, Artificial Intel...

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19th 3D GeoInfo conference / 31st EG-ICE International Workshop on Intelligent Computing in Engineering

作者： Wang, Hanbin Hijazi, Ihab Donaubauer, Andreas Kolbe, Thomas H. Tech Univ Munich Chair Geoinformat Arcisstr 21 Munich Germany An Najah Natl Univ Urban Planning Engn Dept Nablus Palestine

This study focuses on the integration of system Dynamics (SD), Artificial Intelligence (AI) technology, and 3D Urban Information modeling (CityGML) in the field of urban planning. It aims to optimize urban layout to cope with rapid urban growth, emphasizing resource allocation through a combination of greedy strategies and AI methods. The core contribution of this paper is to provide spatial allocation of feedback from simulation techniques i.e. SD using the application of genetic algorithms (GA) based on a greedy strategy. The methodology was implemented using a fictitious case study in Berlin, where new students' dorms are required according to the growth in the number of students. The SD tool is used to simulate the growth over 5 years and determine the number of new dorms required. A genetic algorithm is used to optimize the planning objectives of allocating 16 new dorms in 186 possible locations. The algorithm effectively handles the feedback from SD and applies complex multi-objective optimization problems, addressing the challenge of accommodating a growing student population. It proposes strategic dormitory allocations that balance factors such as cost efficiency, campus accessibility, and proximity to public transportation systems. We use CityGML data to simulate and predict future urban transformation, providing dynamic and realistic representations for urban planning decisions and updating the original city models.

关键词： Artificial Intelligence Genetic Algorithm Models system Dynamics Urban Planning CityGML

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21st EPIA conference on Artificial Intelligence, EPIA 2022

21st EPIA Conference on Artificial Intelligence, EPIA 2022

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21st EPIA conference on Artificial Intelligence, EPIA 2022

ISBN: (纸本)9783031164736

The proceedings contain 64 papers. The special focus in this conference is on Artificial Intelligence. The topics include: Enriching Legal Knowledge Through Intelligent Information Retrieval Techniques: A Review;region of Interest Identification in the Cervical Digital Histology Images;Audio Feature Ranking for Sound-Based COVID-19 Patient Detection;using a Siamese Network to Accurately Detect Ischemic stroke in Computed Tomography Scans;determining Internal Medicine Length of stay by Means of Predictive Analytics;Improving the Prediction of Age of Onset of TTR-FAP Patients Using Graph-Embedding Features;cloud-Based Privacy-Preserving Medical Imaging system Using Machine Learning Tools;an Active Learning-Based Medical Diagnosis system;comparative Evaluation of Classification Indexes and Outlier Detection of Microcytic Anaemias in a Portuguese Sample;hierarchically structured Scheduling and Execution of Tasks in a Multi-agent Environment;A General Preprocessing Pipeline for Deep Learning on Radiology Images: A COVID-19 Case study;automatic Configuration of Genetic Algorithm for the optimization of Electricity Market Participation Using Sequential Model Algorithm Configuration;modeling stand-Alone Photovoltaic systems with Matlab/Simulink;a Learning Approach to Improve the Selection of Forecasting Algorithms in an Office Building in Different Contexts;Comparison of Different Deployment Approaches of FPGA-Based Hardware Accelerator for 3D Object Detection Models;generating the Users Geographic Map Using Mobile Phone Data;driver Equitability and Customer Optimality in Intelligent Vehicle Applications;Assessing Communication strategies in C-ITS Using n-Person Prisoner’s Dilemma;on Demand Waste Collection for Smart Cities: A Case study;LoRaWAN Module for the Measurement of Environmental Parameters and Control of Irrigation systems for Agricultural and Livestock Facilities;content-Based Lawsuits Document Image Retrieval;diabetic-Friendly Multi-agent Recommendation system f

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Analysis and Design Method of Ship Command Cabin Layout 21st

Analysis and Design Method of Ship Command Cabin Layout

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21st International conference on Man-Machine-Environment system Engineering (MMESE)

作者： Lu, Aiguo Tong, Xiaoye Dong, Bo Yang, Chao Southeast Univ Nanjing Peoples R China Wuhan Digital Engn Inst Wuhan 430205 Peoples R China Harbin Engn Univ Harbin Peoples R China

ISBN: (纸本)9789811659638;9789811659621

Reasonable allocation of command cabin layout can effectively improve the combat capability of warships. Based on the command and control system cabin of British 23 frigate, the operation of command cabin is described by using the hierarchical task analysis, and the analysis plan is made. The operation sequence flow chart is established to describe the business relationship between performers in each time period. The social network analysis method is used to analyze the crew in the command cabin and describe the social relationship and social status among the crew in the command and control model. In order to make the cabin layout more reasonable and effective, the process of analysis and optimization design of command cabin layout and the mathematical model of cabin layout optimization are established. The layout parameters are adjusted by genetic algorithm to obtain the optimal solution.

关键词： Ship Command and control system Cabin Layout

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Asymmetric Init: startup optimization for Microkernel Hypervisor 25

Asymmetric Init: Startup Optimization for Microkernel Hyperv...

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25th IEEE International conferences on High Performance Computing and Communications, 9th International conference on Data Science and systems, 21st IEEE International conference on Smart City and 9th IEEE International conference on Dependability in Sensor, Cloud and Big Data systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Chen, Guanyu Yang, Guoqing Li, Hong Pan, Zhijie Lv, Pan Zhejiang University Ese Laboratory Hangzhou China Zhejiang University College of Computer Science and Technology Hangzhou China

ISBN: (纸本)9798350330014

More attention is paid to embedded virtualization with improving hardware performance. Multiple operating systems run on the same hardware via virtualization to process the various tasks. The microkernel is suitable to be the cornerstone of the virtualization function because of its stability and security. However, the general boot process of the microkernel-based hypervisor does not fit the automotive system, which needs quick startup. The reason is that guest operating systems require different features. The real-time OS needs a fast response, and others need plenty of resources, such as memory and devices. To make such a system boot quickly, we proposed Asymmetric Init, which uses different strategies to boot components quickly. After the development and experiment in the seL4 hypervisor, the system boot time is reduced to several seconds. © 2023 IEEE.

关键词： Virtualization

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