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International Conference on Emerging eLearning Technologies and Applications (ICETA)

作者： Renát Haluška Matúš Pleva Adam Reňák Department of Electronics and Multimedia Communications Faculty of Electrical Engineering and Informatics Technical University of Kosice Kosice Slovakia

ISBN: (数字)9798331527716

ISBN: (纸本)9798331527723

This article deals with the development of a web application in the Electron environment to support speech therapy games and exercises that focus primarily on speech recognition. The work provides a brief overview of the issue of speech therapy games and the importance of interactive applications in therapy and identifies the needs of children with speech therapy challenges and their parents through a target group analysis. The main goal of the work is to design a web application and interactive elements for speech therapy games in the Electron environment that will correspond to the identified needs of the target group.

关键词： Electronic learning Navigation Medical treatment Games Speech recognition Crystals Aging Diamond Electrons Testing

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Autonomous Robot for Efficient Indoor RF Measurements

Autonomous Robot for Efficient Indoor RF Measurements

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International Conference on Microwaves, Radar and Wireless Communications

作者： Aleksander Krupa Bartosz Multan Mateusz Groth Krzysztof Nyka Lukasz Kulas Department of Microwave and Antenna Engineering Faculty of Electronics Telecommunications and Informatics Gdansk University of Technology Gdansk Poland

ISBN: (数字)9788396972613

ISBN: (纸本)9798350371611

In this paper, we addresses the emergence of autonomous and semi-autonomous radio frequency (RF) measurements as a vital application for robots, particularly in indoor environments where traditional methods are labor-intensive and error-prone. We propose a method utilizing Autonomous Mobile Robots (AMRs) equipped with Light Detection and Ranging (LiDAR) and RGB-D cameras to conduct precise and repetitive RF signal measurements autonomously. The system architecture, comprising both hardware and software components, enables seamless integration and operation, reducing human intervention to preparation and analysis tasks. The proposed solution demonstrates its efficacy through experimental validation, showcasing its capability to conduct autonomous measurements with high precision and efficiency, thereby enhancing the testing of wireless communication systems and algorithms.

关键词： Antenna measurements Microwave measurement Radio frequency Microwave antennas Wireless communication Measurement uncertainty Radar antennas

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Electrochemical Migration: Evaluating the Effect of Fe2O3 Nanoparticle Incorporation on the Reliability of SAC Alloys

Electrochemical Migration: Evaluating the Effect of Fe2O3 Na...

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International Spring Seminar on electronics Technology

作者： Ali Gharaibeh Dániel Rigler Bálint Medgyes Department of Electronics Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Budapest Hungary

ISBN: (数字)9798350385472

ISBN: (纸本)9798350385489

The effect of incorporating Fe 2 O 3 nanoparticles on the reliability of SAC305 solder alloy from the perspective of electrochemical migration (ECM) behavior was investigated through water drop (WD) tests conducted in a 0.1 M NaCl solution under a bias voltage of 10 VDC. The reliability analysis of the WD test findings unveiled that the lifetime outcomes for the examined alloys conform to a well-defined two-parameter Weibull distribution. The addition of Fe 2 O 3 nanoparticles at varying weight percentages (0.1%, 0.25%, and 0.5%) to SAC305, denoted as nanocomposite SAC305-x(0.1, 0.25, 0.5 wt.% Fe 2 O 3 ), led to a lower mean time to failure (MTTF) compared to pure SAC305. This outcome suggests a disadvantageous effect of incorporating Fe 2 O 3 nanoparticles into SAC305 in terms of ECM performance. Scanning electron microscopy (SEM) revealed a dendritic morphology characterized by straight and perpendicular branching (fishbone-like) in the nanocomposite solder alloys while energy dispersive spectroscopy (EDS) identified Sn as the predominant element in the dendrites, indicating that the ECM characteristics of nanocomposite solders are still primarily driven by the dissolution of Sn.

关键词： Nanoparticles Scanning electron microscopy Spectroscopy Metals Morphology Voltage Dendrites (neurons)

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Discovering Relationships Between Data in an Enterprise Information System Using Log Analysis 18

Discovering Relationships Between Data in an Enterprise Info...

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18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023

作者： Korzeniowski, Lukasz Goczyla, Krzysztof Nordea Bank Abp Sa Satamaradankatu 5 HelsinkiFI-00020 Finland Faculty of Electronics Gdánsk University of Technology Telecommunication and Informatics Narutowicza 11/12 Gdańsk Poland

ISBN: (纸本)9788396744784

Enterprise systems are inherently complex and maintaining their full, up-to-date overview poses a serious challenge to the enterprise architects' teams. This problem encourages the search for automated means of discovering knowledge about such systems. An important aspect of this knowledge is understanding the data that are processed by applications and their relationships. In our previous work, we used application logs of an enterprise system to derive knowledge about the interactions taking place between applications. In this paper, we further explore logs to discover correspondence between data processed by different applications. Our contribution is the following: we propose a method for discovering relationships between data using log analysis, we validate our method against a benchmark system AcmeAir and we validate our method against a real-life system running at Nordea Bank. © 2023 Polish Information Processing Society.

关键词： Information use

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Early Parkinson's Disease Detection and Classification using Machine Learning and Neutrosophic Sets

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Neutrosophic Sets and Systems 2025年 82卷 873-886页

作者： Oudah, Hasan H. Metwaly, Ahmed A. Eassa, Mohamed Abdelhafeez, Ahmed Nagm, Ahmad M. Salama, Ahmed S. College of Arts Department of Journalism Ahl Al Bayt University Karbala Iraq Department of Computer Science Faculty of Computers and Informatics Zagazig University Zagazig44519 Egypt Computer Science Department Faculty of Information System and Computer Science October 6 University Giza12585 Egypt Applied Science Research Center Applied Science Private University Amman Jordan Department of Computer Engineering and Electronics Cairo Higher Institute for Engineering Computer Science and Management New Cairo Egypt

Optimizing therapy and rehabilitation for Parkinson's disease (PD) requires early identification and precise evaluation of the illness's course. However, there is disagreement about the best way to use gait analysis to categorize the severity of motor symptoms and identify early-stage Parkinson's disease. The precision of machine learning (ML) models in identifying early and intermediate stages of Parkinson's disease was assessed in this study. Six ML models are used in this study for the prediction of PD. Different metrics are used to evaluate ML models such as accuracy, precision, recall, f1-score, and AUC score. Then we propose a multi-criteria decision-making methodology (MCDM) to evaluate the ML models and select the best one. Two MCDM methods are used such as CRITIC method to compute the criteria weights and the TOPSIS method to rank the alternatives. These methods are used under the bipolar neutrosophic sets (BNSs) to deal with uncertainty information. The results show the support vector machine is the best ML model for the prediction of PD. © 2025, University of New Mexico. All rights reserved.

关键词： Neurodegenerative diseases

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Analytical Traffic Model for a Multidomain IMS/NGN Network Including Service and Transport Stratum 30

Analytical Traffic Model for a Multidomain IMS/NGN Network I...

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30th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2022

作者： Kaczmarek, Sylwester Sac, MacIej Cieslinski, Michal Gdańsk University of Technology Faculty of Electronics Telecommunications and Informatics Gdańsk Poland Comarch S.A. Gdańsk Poland

ISBN: (数字)9789532901177

ISBN: (纸本)9789532901177

This paper addresses the problem of modelling call processing performance (CPP) in a multidomain Next Generation Network (NGN) architecture including the elements of the IP Multimedia Subsystem (IMS) in service stra-tum and based on the Multiprotocol Label Switching (MPLS) technology in transport stratum. An analytical traffic model for such an architecture is proposed by integrating the former-ly implemented submodels of service stratum and MPLS-based transport stratum. The integrated analytical model allows investigation of mean Call Set-up Delay (E(CSD)) and mean Call Disengagement Delay (E(CDD)) for a large set of input variables corresponding to both IMS/NGN strata. The evaluation of E(CSD) and E(CDD), which are a subset of CPP param-eters, is very important for both network users and operators. Details regarding the structure and operation of the integrated traffic model are provided in this paper. Moreover, the results of investigations are described, which demonstrate that this model is correctly implemented, reflects the operation of a multidomain IMS/NGN network and may be used in further research. © 2022 University of Split, FESB.

关键词： Next generation networks

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Enhancing Weed and Crop Classification Using Hybrid Visual Features

Enhancing Weed and Crop Classification Using Hybrid Visual F...

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International Conference on informatics and Computing (ICIC)

作者： Faisal Dharma Adhinata Wahyono Raden Sumiharto Department of Computer Science and Electronics Faculty of Informatics Universitas Gadjah Mada Telkom University Yogyakarta Indonesia Department of Computer Science and Electronics Faculty of Informatics Universitas Gadjah Mada Telkom University Purwokerto Indonesia Department of Computer Science and Electronics Universitas Gadjah Mada Yogyakarta Indonesia

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

Weed and crop classification is essential because weeds can absorb nutrients from the soil that are meant for crops. Manual weed removal is inefficient and causes fatigue for farmers. Additionally, inappropriate herbicide use can damage the environment. Recently, researchers have begun developing Artificial Intelligence (AI) to assist farmers in classifying weeds and crops. One of the crucial stages in using AI is the feature extraction stage. The use of single features for weed and crop classification is less accurate, so this research proposes the use of hybrid features. This research uses a combination of visual features, such as color, shape, and texture, to increase accuracy compared to using only a single feature. Experimental results show an accuracy of 0.968 for the classification of corn, potato, and weed plants. In fact, the proposed method can classify potato and corn plants correctly. This research also presents a comparison using non-handcrafted features, which we evaluate with a transfer learning model. Experimental results show that our proposed method is still more accurate. It is hoped that these results can help farmers modernize agricultural technology in weed removal.

关键词： Visualization Accuracy Shape Image color analysis Transfer learning Crops Manuals Soil Nutrients Artificial intelligence

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Towards A Knowledge Graph-based Exploratory Search for Privacy Engineering 8

Towards A Knowledge Graph-based Exploratory Search for Priva...

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8th International Workshop on the Visualization and Interaction for Ontologies, Linked Data and Knowledge Graphs, VOILA! 2023

作者： Herwanto, Guntur Budi Ekaputra, Fajar J. Piroi, Florina Sabou, Marta Faculty of Computer Science University of Vienna Austria Department of Computer Science and Electronics Universitas Gadjah Mada Indonesia Institute of Information Systems Engineering Faculty of Informatics TU Wien Austria Institute of Data Process and Knowledge Management WU Wien Austria

The concept of privacy-by-design has gained considerable attention in the wake of legal requirements that software systems should fulfill. The interconnected knowledge on privacy concepts, legal requirements, and software development artifacts required to implement this concept can be a major burden for organizations. To address this challenge, we propose a knowledge graph-based Exploratory Search system to help organizations complete privacy engineering tasks. We identify major requirements of such systems and develop an Exploratory Search prototype built on privacy engineering knowledge that integrates different information sources. While still preliminary, this work serves as a foundation for future research on integrating privacy knowledge into software development and demonstrates the potential of Exploratory Search Systems to support the cognitive process in privacy tasks such as privacy threat identification. © 2023 Copyright for this paper by its authors.

关键词： Knowledge graph

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Quantum sensing of ultralow temperature in biwire ultracold polar molecules

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Physical Review A 2024年第3期110卷 032611页

作者： Abdelâali Boudjemâa Karima Abbas Asma Tahar Taiba Qing-Shou Tan Department of Physics Faculty of Exact Sciences and Informatics and Laboratory of Mechanics and Energy LPTHIRM Department of Physics Faculty of Sciences Key Laboratory of Hunan Province on Information Photonics and Freespace Optical Communication College of Physics and Electronics

We present a systematic study of quantum sensing of ultralow temperature in biwire ultracold polar molecules of a quasi-one-dimensional (1D) trap by exploring the dynamics of two physically different qubit models. The two models consist of a trapped impurity atom that act as a temperature quantum sensor interacting with polar molecules reservoir, where dipole moments are aligned head-to-tail across the wires. Our model takes advantage of the adjustable interwire distance to accurately control the precision ultralow temperatures measurement. We show that the system undergoes a transition from Markovian to non-Markovian dynamics, which can be controlled by changing the interwire separation, the dipole-–dipole interaction (DDI), and the temperature. We characterize the thermometric performance using the quantum signal-to-noise ratio for both models and demonstrate that such a quantity exhibits a higher peak at ultralow temperature. We therefore emphasize that ultracold polar molecules are crucial for revolutionizing temperature sensing.

关键词： Dipolar gases Open quantum systems & decoherence Quantum information theory Quantum sensing

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Exploring the Prevalence of Anti-Patterns in the Application of Scrum in Software Development Organizations

Exploring the Prevalence of Anti-Patterns in the Application...

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Federated Conference on Computer Science and Information Systems (FedCSIS)

作者： Michał R. Wróbel Dorota Przała Paweł Weichbroth Faculty of Electronics Telecommunications and Informatics Gdansk University of Technology Gdańsk Poland

The paper presents a survey-based study that aimed to determine the prevalence of anti-patterns in the Scrum software development methodology. A total of 35 anti-patterns were selected from the literature review, and 42 respondents working in software development organizations located in Poland indicated whether they had encountered each anti-pattern in their organizations. The study found that “Unfinished Tasks” was the most prevalent anti-pattern, highlighting the importance of proper planning and task management within sprints. Additionally, several other common anti-patterns were identified, including daily scrums being extended beyond the recommended time, user stories not being fully refined, and the sprint goal not being defined at the sprint planning meeting. The findings of this study provide valuable insights into the current state of Scrum methodology in software development organizations and highlight areas where there is room for improvement.

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