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Data-Driven Digital Twins of Renewable Energy Grids 1

引用

2nd Serbian International Conference on Applied Artificial Intelligence (SICAAI)

作者： Prodanovic, Danica N. Andrijevic, Nikola N. Lakovic, Bosko R. Stojanovic, Boban S. Univ Kragujevac Fac Sci Radoja Domanovica 12 Kragujevac Serbia Vodena Kralja Milana IV 19B-5 Kragujevac Serbia

ISBN: (数字)9783031608407

ISBN: (纸本)9783031608391;9783031608407

This conference paper presents the concept of data-driven digital twins for renewable energy grids, with a focus on the application of artificial intelligence methods for modeling photovoltaic systems. The proposed data-driven digital twin system utilizes automated machine learning algorithms to generate accurate models of solar collectors, enabling real-time monitoring and forecasting of energy production. A use case of a solar power plant in a company from Cacak, Serbia is presented, demonstrating the potential of this technology to improve energy management and increase the efficiency of renewable energy sources. Results obtained from the use case demonstrate the effectiveness of this approach in optimizing energy management, reducing energy consumption, and improving the reliability of renewable energy systems.

关键词： artificial intelligence renewable energy modeling forecasting digital twins

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Discovering Social Interactions Between Caregivers and Frail Individuals Using Indoor Localization 1

引用

16th International Conference on Ubiquitous Computing and Ambient Intelligence

作者： Polo-Rodriguez, Aurora Anguita-Molina, Miguel A. Gil, David Romero, Jose Fernandez, Elena Paloma, Olga Porcel, Ana Medina-Quero, Javier Univ Granada Dept Comp Engn Automat & Robot Res Ctr Informat & Commun Technol CITIC UGR Granada Spain Univ Alicante Dept Comp Sci & Technol Alicante Spain Univ Cadiz Dept Nursing & Physiotherapy Cadiz Spain Univ Seville Dept Nursing Seville Spain

ISBN: (数字)9783031775710

ISBN: (纸本)9783031775703;9783031775710

Social interaction is a key indicator of health in frail populations, as it not only helps alleviate loneliness, but also fosters emotional support, mental stimulation, and a sense of belonging, which are crucial to their overall well-being. This work analyses such interactions by focusing on two critical aspects: (i) the duration of the interaction between caregivers and individuals with cognitive disabilities and (ii) the specific areas where these interactions occur. We used an improved indoor Ultra-Wideband location system to facilitate this analysis. Our results, which span three days, have been thoroughly evaluated and demonstrate extensive coverage and detailed insights into the personal relationships among inhabitants of assisted living facilities.

关键词： Social Interaction Frail Individuals Indoor Location Caregiver Interaction Ultra-Wideband

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Identification and Interpretation of Significant Factors Influencing Client Defaults in Microfinance Institutions Using Machine Learning Methods 1

引用

13th Computer Science Online Conference

作者： Frolov, Yury V. Zhidkova, Elizaveta S. Bosenko, Timur M. Zhidkov, Andrey L. Moscow City Pedag Univ Sheremetyevskaya St 28 Moscow 129594 Russia

ISBN: (数字)9783031703003

ISBN: (纸本)9783031702990;9783031703003

One of the problems of business analytics is the lack of understanding by decision makers of the process of obtaining results presented by machine learning methods. The paper discusses the background and results of a study aimed at discovering factors that significantly affect the risk of non-repayment of loans by clients of microfinance institutions. The issues of application of gradient bousting and SHAP methods to identify factors characterizing microcredit borrowers are considered. The results of the research show that the interpretation of complex models using the SHAP method makes it possible to apply advanced machine learning methods to obtain analytical recommendations in the field of credit risk management in microfinance institutions. #CSOC1120.

关键词： Microfinance Institution Credit Risks Gradient Bousting Method SHAP Visualization of the Influence of Factors on Default Risk Analytics of Research Results

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Anonymization of Bids in Blockchain Auctions Using Zero-Knowledge Proof 1

引用

19th International Conference on Dependability of Computer systems (DepCoS-RELCOMEX)

作者： Broniszewska, Marlena Daszczuk, Wiktor B. Czejdo, Denny B. Warsaw Univ Technol Dept Elect & Informat Technol Nowowiejska St 15-19 PL-00665 Warsaw Poland Fayetteville State Univ Dept Math & Comp Sci Fayetteville NC 28301 USA

ISBN: (数字)9783031618574

ISBN: (纸本)9783031618567;9783031618574

The recent COVID-19 pandemic accelerated the world's digitalization including transformation of traditional auctions. Although buyers cannot examine an item in online auctions, they become a more popular option. They are more convenient since buyers can participate from all around the world. Additional advantage is that the possibility to make auctions more anonymous. Specifically, it may be crucial for the user to keep their interest in the commodity hidden from other buyers and even the seller. This article explores the problem of anonymization in web services by using the example of anonymous online auctions. A system for anonymous, blockchain-based online auctions using zero-knowledge proof is proposed. The system enables a party to attend an auction anonymously digitally isolated from other competitors and the sellers. The system consists of a smart contract on a blockchain and a decentralized web application that facilitates zero-knowledge proof calculation and interactions with the smart contract.

关键词： blockchain zero knowledge proof auction anonymity Zk-SNARK

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Typical Testor Selection Process for Classification Models

Typical Testor Selection Process for Classification Models

引用

Intelligent systems Conference

作者： Martinez-Mejia, Mateo Alba-Cabrera, Eduardo Perez-Perez, Noel Univ San Francisco Quito Colegio Ciencia & Ingn Quito Ecuador

ISBN: (纸本)9783031664304;9783031664311

This work develops a process based on Testor Theory and new ideas related to this field that allows a ranking of typical testors based on the similarity between objects from the same class and the dissimilarity between objects from different classes. This process allows us to select the typical testors that will perform effectively to reduce the number of features in a dataset. We validate this process by examining the results obtained from a classification model for three different datasets, using the best and worst-ranked typical testors selected by the algorithm. Lastly, we analyze the results obtained and present the effectiveness of the method, as well as the advantages it brings.

关键词： Testor theory Typical testor Similarity Dissimilarity Classification model

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Design and Optimization of a 1-DOF Compliant Mechanism for Vibration-Assisted 3D Printing 7th

Design and Optimization of a 1-DOF Compliant Mechanism for V...

引用

7th International Conference on Green Technology and Sustainable Development

作者： Van-Khien Nguyen Huy-Tuan Pham Pham-Ngoc-Tuyen Nguyen Quang-Khoa Dang Van-Son Nguyen Ngoc-Dat Nguyen Ngoc-Anh-Thu Le Thai-Khang Tang Ho Chi Minh City Univ Technol & Educ Ho Chi Minh City Vietnam Ho Chi Minh City Univ Ind & Trade Ho Chi Minh City Vietnam

ISBN: (纸本)9783031762314;9783031762321

Compliant mechanisms (CMs) are well-known and widely applied across various disciplines due to their advantages, such as compact design, simplicity in manufacturing and precision. This study proposes a modern design of a 1-DOF vibration-assisted displacement using semi-circular elastic hinges, leaf springs, and utilizing the vibration of a piezo actuator amplified by lever mechanism for the 3D-printing application. In addition to maximizing the natural frequencies and the amplification ratio at the output, minimizing the parasitic motion was considered. The mechanism's geometric design was calculated employing finite element analysis (FEA) and an evolutionary algorithm optimization approach.

关键词： Compliant mechanism vibration-assisted machining FEM vibration-assisted 3D printing

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Prototype App Mobile for Real Time American Sign Language Recognition Based on Deep Learning 1

引用

Intelligent systems Conference (IntelliSys)

作者： Ramirez, Sergio A. Ramirez, Maria del Pilar L. Tito, Euler Apaza, Honorio Univ Nacl Moquegua Ingenieria Sistemas Informat Ilo Peru Univ Nacl San Agustin Arequipa Ciencia Computac Arequipa Peru

ISBN: (数字)9783031477249

ISBN: (纸本)9783031477232;9783031477249

The recognition of sign language alphabet through computer vision techniques has been widely studied. As a result of multiple studies, the CNN algorithm has demonstrated a very high learning rate. Other researchers have created and published a dataset consisting of approximately 200 images of static gestures of the American Sign Language alphabet. For this research work, the aforementioned dataset was used, and the gestures were captured and trained with CNN. Consequently, a significantly good recognition rate was achieved and migrated to a mobile application capable of recognizing the gestures. The ultimate goal is to recognize and transcribe words through a mobile device, which could be very useful in the practical teaching of the sign language alphabet, providing a significant breakthrough for a more complete learning of sign language.

关键词： American Sign Language Computer Vision Deep Learning

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Modeling and Simulation of a Hybrid Electrical Grid for Reliability and Power Quality Enchantment 2nd

Modeling and Simulation of a Hybrid Electrical Grid for Reli...

引用

2nd International Conference on Forthcoming networks and Sustainability in the AIoT Era (FoNeS-AIoT)

作者： AL-Mashhadani, Yahya Mohammed Jasim Ucan, Osman Nuri Altinbas Univ Elect & Comp Engn Istanbul Turkiye

ISBN: (纸本)9783031628801;9783031628818

In this paper, we focus on using a hybrid system of grid-connected photovoltaic (PV) panels to reduce the use of fossil fuels in producing electrical power to preserve the environment and compensate for reactive power in the solar energy system by installing a fixed capacitor bank at load for improving the power quality. The system that is suggested is simulated and evaluated Using the software program MATLAB Simulink, the suggested structure has been examined in different operational scenarios, such as variable photovoltaic system irradiance and variable reactive consumption power. Itemized simulation about the use of the algorithm Perturb and Observe (P&O) to reach maximum power point tracking in the PV system and effect install fixed capacitor bank on the hybrid grid.

关键词： Fixed capacitor bank Renewable Energy Sources reactive power compensation Maximum Power Point Tracing

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Gamified Chatbot Management Process: A Way to Build Gamified Chatbots

Gamified Chatbot Management Process: A Way to Build Gamified...

引用

Intelligent systems Conference

作者： Lacerda, Arthur Andrade Freitas, Sergio Antonio Ramos, Cristiane Soares Univ Brasilia BR-70910900 Brasilia DF Brazil

ISBN: (纸本)9783031664274;9783031664281

This paper proposes the incorporation of gamification with machine learning for the development of chatbots. The Gamified Chatbot Development Process (GCMP), is a process for the development of gamified chatbots, it comprises eight activities, arranged into four steps, emphasizing gamification implementation. This process includes gamification planning, gamification management, updating chatbot content, chatbot behavior implementation, chatbot behavior validation, chatbot behavior analysis, chatbot delivery, and chatbot usage analysis. GCMP provides a clear and structured guide, allowing flexibility to accommodate each project's specific requirements. This article describes the methodology employed, which includes the application of an experiment with software engineering students. The experiment is conducted by providing documents, holding weekly meetings, and collecting pertinent data. The applicability of GCMP in gamified chatbot projects is examined, and a new version of the process is proposed to resolve the gaps found, and conclusions are drawn based on experiments.

关键词： Machine learning Chatbot Gamification GCMP Development process User engagement

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BLE Wireless Sensor Network for Mobile Coop Monitoring as Part of an Ubiquitous Ecosystem 1

引用

16th International Conference on Ubiquitous Computing and Ambient Intelligence

作者： Gonzalez, Joseph Villarreal, Vladimir Munoz, Lilia Nielsen, Mel Univ Tecnol Panama Panama City Panama Grp Invest Tecnol Computac Emergentes GITCE Chiriqui Panama

ISBN: (数字)9783031775710

ISBN: (纸本)9783031775703;9783031775710

Precision Livestock Farming (PLF) is an approach to animal farming that utilizes advanced technologies and data-driven methods like wireless devices, Internet of Things (IoT), data analytics and industrial automation, to monitor, manage, and optimize various aspects of livestock production, contributing to responsible and sustainable models for enhanced food security. This paper details the deployment of a Wireless Sensor Network (WSN), integrating Bluetooth Low Energy (BLE) and 4G/LTE technologies, to create an IoT solution for remotely monitoring environmental conditions in outdoor production environments. The system is designed to be deployed specifically in pastured poultry farming using mobile chicken coops, emphasizing a farming approach that prioritizes the well-being of the poultry by providing access to open fields with vegetation. The system captures parameters like temperature, relative humidity, and lighting levels through wireless sensor nodes in the open-field rearing structure. Captured data is stored locally in an IoT station within the wireless network and concurrently replicated to a remote cloud-based database via cellular data network. Long term environmental measurements of the mobile chicken coop can be analyzed through datasets generated for an Open Data web portal. The system deployment in a real-world production context enabled the observation and analysis of the behavior of the studied environmental parameters at 24-h intervals. These acquired values facilitate comparisons between the ideal environmental levels and the actual conditions experienced by the birds in the rearing space. This, in turn, can aid the decision-making process for implementing corrective measures, ultimately enhancing the welfare, and fostering healthy growth conditions for the animals.

关键词： Bluetooth Low Energy Internet of Things Open Data Pastured Poultry Farming Wireless Sensor networks

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