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Enhancing Student Success in Physical Education Through Educational Data Mining Techniques 4th

Enhancing Student Success in Physical Education Through Educ...

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4th International Conference on Digital Technologies and Applications (ICDTA)

作者： Bouras, Nihal Ayaichi, Laila Amaaz, Aziz Mouradi, Abderrahman El Kharrim, Abderrahman Abdelmalek Essaadi Univ Energy Mat & Comp Phys Res Team Tetouan Morocco Abdelmalek Essaadi Univ Comp Sci & Univ Pedag Engn Res Team Tetouan Morocco

ISBN: (纸本)9783031686498;9783031686504

Each year, universities and colleges assess the rates of success in order to improve the academic performance and failure rates of students. Different techniques, including statistical analysis, physical examinations, and in-course data mining are employed to determine these rates. This paper implements an educational data mining approach, which examines large data sets, in order to extricate important information that will enable to optimize students' academic and physical life. We consider data concerning their performance, class behavior, activity participation, and other traits. The data is harvested through the KNIME platform and other algorithms.

关键词： Database Educational Data Mining KNIME Student Performance

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An Elliptic Intuitionistic Fuzzy Analysis of Regional Samsung Net Revenue Variations 1

引用

International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Traneva, Velichka Tranev, Stoyan Todorov, Venelin Asen Zlatarov Univ Prof Yakimov Blvd Burgas 8000 Bulgaria Bulgarian Acad Sci Inst Informat & Commun Technol Inst Math & Informat Sofia Bulgaria

ISBN: (数字)9783031700187

ISBN: (纸本)9783031700170;9783031700187

Elliptic intuitionistic fuzzy sets, one of the recent extensions of intuitionistic fuzzy sets, were introduced by Atanassov in 2021 for a flexible description of fuzzy environments. Analysis of variance (ANOVA) establishes if a given factor significantly affects the process or event under investigation. An index-matrix approach of Elliptic Intuitionistic Fuzzy Analysis of Variance (E-IFANOVA) is introduced in this study for the first time, by expanding the Circular Intuitionistic Fuzzy Analysis of Variance (C-IFANOVA). Three scenarios are presented to the decision maker for a final decision: medium, optimistic and pessimistic. The conventional analysis of variance and the suggested E-IFANOVA are used to show how the factor "geographic segmentation" affects the net revenue of the Samsung corporation for the years 2020-2023. The paper's uniqueness is in its application of the particular E-IFANOVA to the Samsung net revenue for the 2020-2023 period, taking into account the geographic segmentation factor.

关键词： E-IFANOVA Elliptic Intuitionistic Fuzzy Sets Index Matrix

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IT Project Resilience: Navigating Challenges and Gaining Insights from the COVID-19 Pandemic 9th

IT Project Resilience: Navigating Challenges and Gaining Ins...

引用

9th International Congress on Information and Communication Technology (ICICT)

作者： Marciann, Victoria Moodley, Tevin Univ Johannesburg Acad Comp Sci & Software Engn Corner Kingsway & Univ Rd Johannesburg South Africa

ISBN: (纸本)9789819733019;9789819733026

The COVID-19 pandemic brought unprecedented challenges to various industries, including information technology (IT) projects. In response to the crisis, the paper "Framework for IT Project Management During the COVID-19 Pandemic" was introduced, emphasising Agile Management, People Management, and the Adaptation of Physical Space and Service Level Agreements (SLAs). This paper expands on that by delving into strategies for bolstering IT project resilience in the face of uncertainty. The paper explores the effects of the pandemic on IT project management, the importance of understanding IT project resilience, the role of cyber-security in resilience, adaptive Agile practices, and long-term strategies for achieving resilience.

关键词： Pandemic Work from Home COVID-19 IT project management Resilience Cybersecurity Agile

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Criticism and Proposal of a Model for the Design and Rapid Set-Up of a Training Course Based on 3D Printing 1

引用

3rd International Symposium on Industrial Engineering and Automation

作者： Scibilia, Sergio Casalino, Giuseppe Polytech Univ Bari Dept Mech Math & Management Via Orabona 4 I-70125 Bari Italy

ISBN: (数字)9783031704628

ISBN: (纸本)9783031704611;9783031704628

The spread of additive manufacturing and the adoption of 3D printers have generated a sudden adaptation of teaching methodologies in education. In the manufacturing sphere, 3D printing has called for innovation in the criteria and systems required to transmit skills in Science, Technology, Engineering and Mathematics (STEM). In this innovative context, the lack of teaching guidelines and the evident presence of certain criticalities in training activities in the field of 3D printing are highlighted. In this research project, the most widespread criticalities are identified and a matryoshka model with a holistic view of the entire ecosystem of educational activities in the field of additive manufacturing is proposed. Such a model allows for an immediate identification and subsequent assignment of criticalities to each of the process steps and consequent opportunity for resolution, allowing for an ex-ante design or resetting of the course in an exemplified and flexible form.

关键词： 3D printing learning Educational Technology Instructional technologies

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Optimised Round Robin with Virtual Runtime for CPU Scheduling

Optimised Round Robin with Virtual Runtime for CPU Schedulin...

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Computing Conference

作者： Bhatia, Jagriti Mathuria, Sanskriti Ladwani, Vandana M. Padmanabhan, Shobana PES Univ Dept Comp Sci & Engn Bengaluru Karnataka India RV Univ Sch Comp Sci & Engn Bengaluru Karnataka India

ISBN: (纸本)9783031622793;9783031622779;9783031622762

The Central Processing Unit (CPU) consists of the main circuitry to perform all the operations in a computer. One of the most important operations an Operating System performs is CPU Scheduling, which is responsible for managing all tasks and allocating CPU time to each task in an optimal order. This extends to applications in distributed systems since scheduling is required to maximise server utilisation in load-sharing mechanisms. One of the more commonly used scheduling algorithms for the mentioned application is Round Robin (RR), which is considered to be one of the most efficient. However, the efficiency of RR entirely depends on the chosen Static Time Quantum. In this paper, we have proposed an optimisation to the pre-existing RR algorithm, namely 'Riti', where Round Robin is implemented using Virtual Runtime and by calculating Dynamic Time Quantum. 'Riti' has achieved a 27.6% reduction in average Turnaround Time and 37.4% reduction in averageWaiting Time as compared to Traditional Round Robin.

关键词： CPU scheduling Round Robin Dynamic time quantum Virtual runtime Turnaround time Waiting time Convoy effect

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Virus Disorder Study Using X-Ray Images and Evaluating Models Performance 5th

Virus Disorder Study Using X-Ray Images and Evaluating Model...

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5th International Conference on Communication and Intelligent systems (ICCIS)

作者： Awasthi, Rashmi Sharma, B. K. Mandsaur Univ Dept Comp Sci & Applicat Mandsaur Madhya Pradesh India

ISBN: (纸本)9789819720521;9789819720538

Images of the upper body were used to diagnose severe cases of a sensitive respiratory syndrome because of COVID-19 2 (SARS CoV-2), a contributing thing to COVID-19 disorder 2019 (COVID-19), that is extraordinarily essential for patients as well as sufferers, for clinical professionals in terms of the potential to shop lives. This diagnosis performed to illustrate about deep knowledge gaining for identifying COVID-19 with utmost accuracy. These photos covered 1583 folks that were in precise fitness, 4292 folks who have been diagnosed with pneumonia, and 225 individuals who tested effective for the COVID-19 virus. Several techniques were proposed with an incapable version-based totally approach. In the assessments that had been conducted to assess the efficacy of models, the statistical records analysis and image facts analysis had been achieved one by one from one another. These tests have been done to determine how effective the fashions have been of their respective roles.

关键词： Convolutional neural networks COVID-19 Pneumonia X-rays Pneumonia-coronavirus

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Multilevel Monte Carlo Simulation Model for Air Pollution Index Prediction of a Smart Network 6th

Multilevel Monte Carlo Simulation Model for Air Pollution In...

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6th International Conference on Soft Computing and Data Mining (SCDM)

作者： Hassan, Mustafa Hamid Mostafa, Salama A. Ghazali, Rozaida Saringat, Mohd Zainuri Husaini, Noor Aida Mustapha, Aida Jubair, Mohammed Ahmed Hariz, Hussein Muhi Imam Jaafar Al Sadiq Univ Coll Informat Technol Al Muthanna 66002 Iraq Univ Tun Hussin Onn Malaysia Fac Comp Sci & Informat Technol Johor Baharu 84600 Malaysia Tunku Abdul Rahman Univ Management & Technol Fac Comp & Informat Technol Jalan Genting Kelang Kuala Lumpur 53300 Malaysia Univ Tun Hussein Onn Malaysia Fac Appl Sci & Technol Johor Baharu 84500 Malaysia

ISBN: (纸本)9783031669644;9783031669651

Air pollution has become a significant environmental challenge in the 21st century due to widespread industrialization and urbanization worldwide. Effectively reducing it requires precise predictions of air quality. However, existing methods for predicting the Air Pollution Index (API) fail to effectively model short-term variables' dependencies and mostly neglect spatial correlations. Given these limitations, the statistical method emerges as the most suitable choice. Monte Carlo Simulation (MCS) is one of the best short-term time series prediction statistical approaches. This paper proposes a Multilevel Monte Carlo Simulation (MLMCS) model based on the MCS model for forecasting the API. The study covers the analysis of an air pollution dataset that includes the API and ambient air quality of ten locations in Beijing, China. The results show that the MLMCS improves the performance of API prediction compared to the MCS. The MLMCS model has the highest accuracy of 86.45% and the lowest computational time of 3.43 s compared to the MCS model's accuracy of 82.90% and computational time of 7.5 s.

关键词： Air quality prediction Air Pollution Index (API) Suspended Particulate Matter (SPM) Monte Carlo Simulation (MCS)

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Parameters and Characteristics of Parachute systems for Physical Modelling Precision Airborne Cargo Landing

Parameters and Characteristics of Parachute Systems for Phys...

引用

International Scientific and Technical Conference on Integrated Computer Technologies in Mechanical Engineering - Synergetic Engineering (ICTM)

作者： Betin, Olexander, V Kyriienko, Petro G. Betin, Denys O. Betina, Olena Y. Natl Aerosp Univ KhAI Chkalova 17 UA-61070 Kharkiv Ukraine

ISBN: (纸本)9783031614149;9783031614156

The main requirements facing the developers of controlled precision airborne cargo landing systems (CPACLS) are to reduce cargo losses and improve landing precision. Modern theoretical knowledge, computational and experimental methods are used to satisfy them. Leading among them is the method of physical modelling of flight modes on free flying dynamically similar models (FDSM). In the problem under consideration, the theoretical foundations of this method are used to substantiate the possibility of conducting flight researches on FDSM of the modes of separation of CPACLS from the carrier aircraft, deployment of the parachute system and performance of steady-state flight in the vertical plane until the moment of cargo landing. At the same time, a literature review was carried out, aimed and analyzing features of device, design and flight tests of parachute systems of CPACLS, as well as similar design and research work on FDSM. The conditions and scales of similarity used in creating FDSM and carrying out flight researches of the parachute system of the CPACLS. The conditions of similarity and technical feasibility of a FDSM in the task of creating model parachute systems and carrying out flight researches of the considered stages of landing of CPACLS are revealed. The ratios for selection of structural materials, and also determination of required and available values of parameters and characteristics of parachute systems of FDSM at modelling of landing of CPACLS are received.

关键词： Parameters and Characteristics Parachute systems Physical Modelling Precision Airborne Cargo Landing

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Operators' Emotion Recognition During a Teleoperation Task

Operators' Emotion Recognition During a Teleoperation Task

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Intelligent systems Conference

作者： Lu, Yanyu Fu, Shan Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai 200240 Peoples R China

ISBN: (纸本)9783031664274;9783031664281

Teleoperation systems have been widely used in a large number of fields where the environment is hostile for human. Due to the complexities of the tasks and environments, humans are often still considered a liability to the system. Human performances, major concerns in the teleoperation, not only are affected by HMI, but also interact with human emotion states. This study was to evaluate the emotion states of operators during the teleoperation task. Three tasks were carried out based on the simulated teleoperation system to evaluate the effects of the factors from HMI on subjects' emotion. Human emotion states were recognized via a Random Forest model based on EEG signals. The results showed the background interference and target movement adversely influenced emotion states.

关键词： Teleoperation Human-machine interaction Operator's emotion

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Global Electric Car Market 10th

Global Electric Car Market

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International Conference on New Technologies, Development and Application - Advanced Production Processes and Intelligent systems

作者： Dudic, Branislav Comenius Univ Fac Management Bratislava 82005 Slovakia

ISBN: (纸本)9783031662706;9783031662713

The world must consider the challenge of innovation in automotive industry because of keeping its position on the market and improving economic situation. Nowadays, automobile producers all around the world invest massively into the development of electric drive of automobiles-electro mobiles. Development of electromobility should bring the creation of new work positions in economy. Statistics show that electric cars will increase their numbers on roads every year till they reach their maximum and will not be the part of combustion engine. Electric cars should be able to substitute gradually cars with conventional combustion engines. Electromobility is becoming an everyday part of people's lives. The number of electric cars is still growing all over the world. Nowadays, electro mobiles are more competitive, endurance distance is longer, there are efforts to unify charging technologies and charging infrastructure is gradually developing in every country. Every state has established its direct and indirect support of electromobility whereby countries all around the world have created the conditions for the market growth of electric automobiles.

关键词： electromobility environment global market electric vehicle production

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