bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigation of factors influencing the process of cement formation and its contacts with casing pipes on the example of Mangystau region fields
Authors: Umraliyev Baurzhan Tazhikenovich , Seitov Aidyngali K. , Nugiyev Maxat A. , Makhmudov Manas  B.
Published: January 2024

This work is devoted to the study of factors affecting the formation of cement stone and its contacts with casing pipes, the development of recommendations and technological methods to improve the quality of well cementing. The main task of cementing wells is hermetic separation of rocks with different saturation patterns. The solution to this problem is quite difficult, because it depends on many factors.

Based on the analysis of the results of acoustic cement bond logging and field studies of wells, it was found that the quality coefficient of cementing with a slight error can characterize the annulus integrity. In this regard, when conducting skilled or experimental work, the quality coefficient of cementing was used by us as the main parameter for evaluating the effectiveness of various technological operations carried out during well cementing.
Effect of steam quality on the oil recovery factor of the Karazhanbas field
Authors: Aydarbayev Zhanibek S. , Khassanov Dauren Kh.
Published: January 2024

Background: The injection of the thermal agent as "steam" reduces the viscosity of the oil and the mobility ratio, which increases the displacement and coverage factor, and ultimately significantly increases the oil recovery factor. This statement was the basis for determining the effect of steam enthalpy on the oil recovery factor, as well as for reliably determining the flow rate of flared gas, as a result of which the existing gas pipeline will be reconstructed, the required amount of fresh water will be calculated, and the distribution of steam pumping in the entire Karazhanbas field.

Aim: The purpose of the article is to consider the influence of the quality of steam produced at the steam generator units of the Karazhanbas field on the oil recovery factor. The main parameter that determines the quality of steam is dryness, which was calculated using the actual values of the boiler (pressure, temperature, gas flow), flue gas tests on a special device, as well as laboratory tests to determine the heat value of the combusted gas.

Materials and methods: This work used materials from GHM (geological and hydrodynamic modeling), results of studies of boiler flue gases and heat balance.

Results: The calculation showed a low quality of the produced steam, which negatively affects the recovery factor.

Conclusion: Evaluation to determine the optimal value of saturated steam parameters (steam dryness, temperature in terms of development efficiency) showed that the higher the temperature and dryness of steam at the wellhead and bottom hole of the injection well, the higher the oil recovery factor at the Karazhanbas field.
Study of the efficiency of machine learning algorithms based on data of various rocks
Authors: Assilbekov Bakhytzhan K. , Kalzhanov Nurlykhan Ye. , Bolysbek Darezhat A. , Uzbekaliyev Kenboy Sh. , Bekbau Bakbergen Ye. , Kuljabekov Alibek B.
Published: January 2024

Background: Absolute permeability plays an important role in studying the fluids flow in porous media during the development of oil and gas reservoirs, the injection of CO2 into reservoirs for storage, the monitoring of pollutants migration in underground aquifers, and the modeling of catalytic systems. Therefore, an accurate and fast evaluation of its values is an important task.
Aim: The purpose of this article is to study the applicability of machine learning methods for predicting the absolute permeability of carbonate samples, as well as ways to improve the prediction of permeability.
Materials and methods: The input data is 408 small volumes extracted from four cylindrical carbonate samples composed almost entirely of calcite. Input data includes total and connected porosity, specific surface area, radii of all and only connected pores, coordination number, throat radius and length, tortuosity, and absolute permeability. Permeability prediction is carried out using regression machine learning methods such as random forest, extremely random trees and extended gradient boosting. Parameters (data) of small volumes were determined using pore-scale modeling of water flow in their pore space applying a specialized Avizo software.
Results: Data of small volumes extracted from fractured and non-fractured samples were analyzed, and the results showed that there are good relationships between many parameters of small volumes. For example, the connected and total porosity have a second-order polynomial relationship with a high correlation coefficient. Using the above-mentioned regression machine learning methods, absolute permeability values were predicted when input data divided into training and testing data in a ratio of 80/20 and 70/30.
Conclusion: Using the logarithm of permeability instead of permeability itself and considering fractured and non-fractured samples separately, can increase the accuracy of absolute permeability prediction using the above-mentioned machine learning methods up to 90%. The extremely random trees method is the most accurate among the three machine learning methods considered for our task.
Obtaining fuel products by combined hydrogenation of coal and shale
Authors: Kairbekov Zhaksyntay K. , Sarmurzina Raushan G. , Esenalieva Manshuk Z. , Kairbekov Altay Zh. , Suimbaeva Saltanat M. , Dzheldybaeva Indira M.
Published: January 2024

Background: Coal and oil shale are one of the promising types of organic raw materials that can largely compensate and replace petroleum products and gas in the future. Unlike other types of solid fossil fuels oil shales contain significant amounts of hydrogen in organic matter. The possibility of obtaining liquid and gaseous hydrocarbons from a mixture of coal and oil shale similar in composition and properties to petroleum products and natural gas allows us to consider them as important strategic resources.
Aim: This article is devoted to the study of the process of obtaining fuel products of co-hydrogenation of coal and shale.
Materials and methods: Coal from the Taldykol deposit and slate from the Kiin deposit were taken as objects of research. The process of coal and shale liquefaction was carried out on a laboratory installation at a pressure of 5 MPa and a temperature of 425°C, a reaction time of 1 h. Gas chromatographic and elemental analyses were used.
Results: The research results showed that the optimal amount of shale added to coal is 15.0%. The implementation of the co-hydrogenation process under these conditions has increased the yield of liquid products by 10%, namely fractions with a boiling point of up to 200°C from 14.9% to 15.3%, fractions with a boiling point of 200–370°C from 22.1% to 26.4%, fractions with a boiling point above 370°C from 34.6% to 38.8%. Solid residue with a boiling point above 370°C tested as an organic binder for road construction.
Conclusion: The proposed process technology also makes it possible to obtain gasoline and diesel fractions, which after appropriate hydrotreating can be used as motor fuels. The addition of oil shale to coal allows the process to be carried out under optimal conditions with a high degree of conversion into liquid products without coke formation. The degree of transformation of the mixture of organic mass of shale and coal is much higher than just coal.
Моделювання ймовірності банкрутства підприємства (на прикладі АТ" Укртелеком")
Authors: Чубка О. М. , Адаменко Д. В.
Published: January 2024

Сучасному підприємству необхідно адаптуватися до умов, що існують на ринку. Це призводить до зростання важливості розуміння та прийняття ефективних управлінських рішень. Управлінські рішення мають ґрунтуватися на аналізі, і однією з ключових складових цього аналізу є своєчасна діагностика рівня імовірності банкрутства підприємства. Задача визначення ймовірності банкрутства підприємств залишається актуальною, оскільки достовірна й своєчасне виявлення негативних факторів впливу на діяльність компанії дає можливість розробити заходи, які направлені на підвищення ефективності використання фінансових ресурсів. За рахунок обраних математичних методів здійснено прогнозування ймовірності банкрутства підприємства на прикладі АТ «Укртелеком» У статті застосовані такі методи оцінки: за Альтманом, Лісом, Терещенко, коефіцієнтом Бівера, Спрінгейтом. При написанні роботи використовувалися методи системного підходу, методи статистичного, економіко-фінансового аналізу та структурного аналізу, сучасні методи імовірного моделювання та прогнозування фінансового стану. За допомогою визначеного комплексу основних показників та отриманої узагальненої оцінки, проаналізовано поточний та перспективний стан підприємства. Розраховані значення представлені в таблиці з висновками до кожної моделі. Виділені основні проблеми в діяльності підприємства. Доведено результативність обраних методик на практиці. Обґрунтована необхідність в оцінці фінансового стану задля запобігання банкрутства підприємства, подальшого його зміцнення та фінансової стійкості, а також можливості здійснювати ефективну політику за для його стабілізації. Аналіз результатів дослідження може надати управлінцям можливість визначити вразливі аспекти фінансової діяльності та вжити конкретних заходів для їх виправлення. Цей процес може включати в себе оптимізацію витрат, підвищення ефективності управління ресурсами і перегляд фінансових стратегій. Можливі напрями подальших досліджень ймовірності банкрутства АТ "Укртелеком" охоплюють розширення та уточнення методології, аналіз інших чинників впливу та розвиток більш точних прогностичних моделей. Перспективним буде розвиток більш точних та адаптованих до конкретного контексту моделей для прогнозування ймовірності банкрутства, а також врахування інших факторів, які можуть впливати на фінансову стійкість підприємства. Тип статті: емпірична.
Can Structured Analytic Techniques enhance Intelligence, Surveillance, and Reconnaissance (ISR) Assessments when providing Incremental Information
Authors: Nelson Justin , Maresca Anna , Schlessman Bradley
Published: January 2024

Structured Analytic Techniques (SATs) have been incorporated within academia over the past several decades in an effort to enhance decision-making outcomes. Although, little research has focused on the effect of SATs within an operational environment such as Intelligence, Surveillance, and Reconnaissance (ISR) Mission Sets. The objective of this study was to evaluate the effectiveness of SATs when providing a vague narrative to human operators. Differences in response accuracy were investigate when a SAT was coupled with a narrative based on two different information workflow methodologies (i.e., complete narrative all at once or the narrative divided into incremental sections). Moreover, six groups of 25 participants each (N=150) were randomly assigned to one of three analytic techniques and provided a narrative with all the information all at once or the information provided in incremental sections. The SATs implemented were the Method for Defining Analytical Questions (MDAQ), which was developed in-house by our ISR subject matter experts (SMEs), a Scaffolding approach, and a Control approach. The findings provided evidence that implementing the MDAQ approach when given incremental information significantly improved performance compared to all other group configurations (p<0.05). This discovery will not only support ISR tool development, training exercises, and technology transition but could be beneficial in enhancing human computer interactions and human decision-making across other domains within academia and industry.
Design Systems for Intelligent Technology
Authors: Myllylä Mari , Karvonen Antero , Koskinen Hanna
Published: January 2024

Intelligent technology seems poised to emerge with unprecedented force across many domains of human activity. Advanced technologies (e.g. artificial intelligence (AI)–based applications and services) hold great promise to enhance work processes such as industrial operations and process control. However, the promise of intelligent technologies will not be realised unless their use is properly grounded in terms of their advantages to human action, operational safety, and the efficiency of the controlled system. Therefore, the novelty associated with what can be done with intelligent technology and how it should be integrated into human action and thought presents key design problems and questions to be answered in the design of future systems.Design systems (DSs) have become standard product design and development tools for creating consistent and well-functioning software applications and industry products by providing standard and reusable design patterns, components, and language. Currently, the industrial application of DSs mainly focuses on aspects of technology design such as visual identity, design principles, user interface elements, traditional engineering design, and interaction patterns. In the present paper, we propose to investigate and open a discussion on the concept of DSs for intelligent technology. This concept extends and builds upon current ideas and industrial practices regarding DSs. This paper is based on case studies of Finnish industrial companies seeking to implement and develop intelligent technology solutions for process control and design processes.Based on our research, we offer preliminary ideas on how DSs should be expanded to better address, identify, and solve challenges relevant to the design of intelligent technologies. Furthermore, we see that these extensions to the present industrial applications of DSs represent an important – even indispensable – step towards realising the vision of Industry 5.0, in which people and intelligent technologies collaborate.
Design of an augmented reality software tool to improve user interaction and awareness in geolocation platforms.
Authors: Daniela Gomez Rios Monica , Drouet Alejandro , Angel Quiroz Martinez Miguel
Published: January 2024

People do not give importance to the rules or protocols of each sport through the design of an application in augmented reality it is intended to complement the regulatory information on a sport such as football, such as positioning on a field, offering directions, measurements, radius of the midfield, penalty area, corner area, number of referees and the function of each player. The general objective is to design a tool for learning sports rules related to football using augmented reality. The results are A four-layer architecture such as User, Location, Camera, and Applications; each layer and its components are described in this model. In addition, a first survey of five questions answered by ten professionals in Information Technology on architecture was carried out in this document. The survey indicates that it has a reasonable degree of acceptance, and the professional recommendations are interesting. In addition, a second survey of five questions answered by fifteen players about their interest in using an AR-based application was conducted. It was concluded that architecture has been accepted by professionals and players have disposition or interest in an application in AR.
Comparative analysis for the selection of a virtualization tool using the AHP Model
Authors: Daniela Gomez Rios Monica , Acosta Bryan , Rosales Jos , Angel Quiroz Martinez Miguel
Published: January 2024

This paper presents a comprehensive comparative analysis of virtualization tools, grounding its study on applying the AHP model. Virtualization is introduced as an emerging technology, emphasizing its ability to enhance applications' portability, management, and compatibility by encapsulating them from the operating systems on which they run. Different approaches to virtualization are discussed, from desktop virtualization, highlighting its client-server-based computing model, to network virtualization, emphasizing its capability to combine software and hardware resources into a software-managed entity. An in-depth analysis of leading market virtualization tools, such as VMware and HYPER-V, is conducted throughout the article. VMware's operational advantages and efficiency are highlighted, along with the speed and versatility of HYPER-V's migration. To enrich the research, survey results conducted on professionals specialized in network infrastructure in Ecuadorian companies are incorporated, providing valuable insights into these tools' adoption and practical utility in corporate environments. Finally, the study presents a detailed comparative table to guide organizations in selecting the virtualization tool that best fits their requirements and operational contexts.
Cyber Rehabilitation for the Elderly with Mild Cognitive Impairment
Authors: Hwan Kim Ki , Sung Choi Eun , Jin Kang Young , Chan Jeong Seok
Published: January 2024

The World Health Organization (WHO) predicts that by 2050, the proportion of people over the age of 60 will double. As a result, there is a growing need for digital therapy for geriatric patients with Mild Cognitive Impairment (MCI). This paper introduces a platform designed to facilitate MCI examination, user response judgment, and real-time content control for the elderly with MCI. This paper employing techniques such as You Only Live Once (YOLO) and eye tracking to minimize user intervention, this system has demonstrated a user response judgment accuracy of 90% or higher for 100 elderly individuals with MCI. Additionally, the platform achieved a content control function accuracy of 95% based on reaction judgment and a content matching suitability rate exceeding 90%.
Multidisciplinary Research & Development of Multi-Agents and Virtual Humans Leveraging Integrated Middleware Platforms
Authors: Hartholt Arno , Leeds Andrew , Fast Ed , Sookiassian Edwin , Kim Kevin , Beland Sarah , Kulkarni Pranav , Mozgai Sharon
Published: January 2024

The current pace of technological advancements has led to an ever-increasing availability of technologies to investigate and help address the challenges that contemporary society faces today. However, while this trend increases the potential for creating more relevant, effective, and efficient solutions, it also inherently increases the complexity of realizing that potential. Our work aims to manage this complexity through the creation and dissemination of integrated middleware platforms that enable researchers and developers to rapidly prototype novel solutions within the areas of modelling & simulation, virtual humans, and virtual worlds. In this paper, we discuss two related platforms: the Rapid Integration & Development Environment (RIDE) and the Virtual Human Toolkit (VHToolkit). Specifically, we explore two use cases: 1) the development of an authoring tool aimed at domain experts to rapidly create low-echelon military training scenarios, and 2) the development of a virtual human led mHealth wellness and suicide prevention app for veterans.
Optimal Voltage Regulation on Medium Voltage Line In Rural Area Using DIgSILENT
Authors: Enrique Valverde Landivar Galo , Solano Ervin , Santana Roy
Published: January 2024

The present work features an analysis of the voltage levels in the Quevedo Sur substation, which has a 7.9 km route of three-phase 4/0 AWG ACSR feeder, where it was found that the voltage levels obtained from the feeder do not allow the proper functioning of the triphasic motors that contain the pumping machines used in the irrigation area, located in Hacienda JJ. Through the implementation of the DIgSILENT program, the collected data was used, and proceeded with the realization of a single-line diagram, then the percentage of voltage drop that exits in the feeder could be visualize through the simulation of power flow and voltage profile, in turn, the minimum and maximum voltage points were observed along the three-phase line, and the most convenient location for the voltage regulators was estimated by implementing the analytical module called ''Step-Voltage Regulator'', which main function is to verify and correct the voltages that are not in the allowed range according to resolution No. ARCERNNR-017/2020.
Integrating Rasmussen´s SRK Taxonomy in a Future Fighter Cockpit Design Process
Authors: Neubauer Stefan , Schwerd Simon , Schulte Axel
Published: January 2024

In this article, we describe how we integrated Rasmussen's SRK (Skill, Rule, Knowledge) taxonomy into the design process of an information concept for a cockpit display of a future fighter aircraft, focusing on Manned-Unmanned Teaming (MUM-T) missions. We utilized Endsley's goal-directed task analysis to identify necessary information for different scenarios. We then applied cognitive design methods, consisting of Rasmussen's SRK taxonomy and Wickens’ design principles, which helped us to determine the required level of detail of the information and how it should be presented to the pilot. Then interface elements to represent the information are created. We implemented the elements into a MUM-T fighter jet research simulator and conducted online evaluations with three German Air Force fighter pilots. The results showed that the created elements resulted through the design process were well received by the fighter pilots. The designed interface elements were evaluated as helpful to support the pilot in scenarios such as delegation, air-to-air and air-to-ground tasks of UAVs.
Role of AI in weather prediction, flight planning, route optimization and scheduling.
Authors: Ziakkas Dimitrios , Pechlivanis Konstantinos , Flores Abner
Published: January 2024

Artificial intelligence (AI) is being used to improve weather prediction and turbulence detection, which can help to enhance flight safety. AI-powered weather prediction systems can be used to generate more accurate and up-to-date weather forecasts. This information can help pilots make better decisions about flight planning and execution. The turbulence detection systems can identify areas of turbulence in real time. This information can be used to help pilots avoid turbulence, which can help to improve safety and comfort for passengers. Reduced risk AI-powered systems can help to reduce the risk of accidents caused by weather or turbulence by improving accuracy and providing earlier warnings. The National Weather Service (NWS) uses AI to improve weather prediction models. The NWS reports recognize that AI has improved its forecasts' accuracy by up to 10%. Moreover, the Federal Aviation Administration (FAA) uses AI to detect real-time turbulence. The FAA reports that the use of AI applications makes identifying turbulence areas easier and more effective in avoiding overflying into them. Airlines are using AI to improve their flight planning and execution. Airlines following weather AI recommendations reduce delays and improve the safety of their flights. In detail, Weather Prediction AI analyses large volumes of weather data, such as radar, satellite, and numerical weather prediction models, to provide accurate and timely weather forecasts. This helps pilots plan and adjust flight routes and schedules to avoid severe weather conditions and improve flight safety. Turbulence Detection AI applications detect and predict turbulence in real time using sensor data and weather models. This helps pilots avoid turbulence and provides passengers with a smoother and more comfortable flight experience while reducing the risk of injuries. In the long run, Machine Learning develops machine learning algorithms to learn from past weather and turbulence data and predict future conditions more accurately. This allows airlines to make more informed flight routing and scheduling decisions based on the most up-to-date weather information. Additionally, Automated Decision Support AI develops automated decision support tools that provide pilots with real-time weather and turbulence information, allowing them to make informed decisions about flight routing and scheduling and improve flight safety. Overall, using AI in weather prediction and turbulence detection transforms how airlines monitor and manage weather-related risks, making air transport safer, more efficient, and more comfortable for passengers. By providing accurate and timely weather information, airlines can improve flight safety, reduce flight delays, and provide passengers with a more reliable travel experience. Purdue CREATE approach offers a structured analysis and recommendations for implementing AI in weather prediction, flight planning, route optimization, and scheduling.
Factors influencing the use of shared stroller rentals in scenic spots—an extension based on the UTAUT model
Authors: Xin Jiang Yu , Chen Xun , Li Xu
Published: January 2024

Purpose: With the rise of parent-child travel, the trend of sharing economy has given birth to shared strollers. This emerging field aims to ease the burden on parents. However, although many shared stroller brands have emerged on the market, this sharing model is similar to other sharing forms and also faces a series of development challenges. In previous studies, users' awareness and acceptance of shared strollers for rent in scenic spots have not been studied in depth. Therefore, the purpose of this study is to deeply explore the factors that affect users' willingness to use shared stroller rentals to promote the improvement of shared service quality.Methods: We adopt UTAUT (Unified Theory of Technology Acceptance and Usage Model) as a theoretical framework to explain user adoption behavior. First, we issued questionnaires to analyze users' usage behavior, and then introduced the internal variables in the UTAUT model, including performance expectations, effort expectations, social influence and convenience conditions, into the context of shared stroller rental. We then conducted in-depth scenario interviews to further observe users’ actual behaviors and understand their potential needs. By analyzing the actual behavior of users, we further refine the secondary variables related to internal variables, such as observability, trialability, compatibility, complexity, etc., aiming to quantify the impact of these internal variables on user intentions.By mapping the user decision-making process, the functional requirements of users at different stages are clarified. To assess the priority of feature points, we used a 5-point scale questionnaire among people aged 22 to 50 years with children. The specific items related to secondary variables in the questionnaire reflect the impact of different factors such as performance expectations, effort expectations, social influence, and convenience conditions on users' willingness to use shared stroller rentals.Research results: Performance expectations, convenience conditions and satisfaction have the most significant positive impact on adoption intention, followed by social influence. Perceived risk and expected effort showed significant negative effects. Based on the survey results, we made recommendations for improvements to the existing shared stroller service. These research results provide solid theoretical support and empirical data for understanding the adoption process of shared stroller rental services, and also provide useful reference for the development and promotion of similar services.Significance: Users' attention to shared strollers plays an important role in the development of shared service-related industrial chains. Based on these results, we summarized the shortcomings of shared stroller brand design and put forward suggestions to improve users' willingness to use them, provide theoretical reference for the design of such products, and provide management suggestions for stakeholders.
Requirements Reuse in Complex European Security Research Projects – a Border Management Perspective
Authors: Salmela Laura , Laarni Jari , Väätänen Antti , Toivonen Sirra
Published: January 2024

European civil security research most often builds upon a series of interlinked efforts and development work, extending vertically across different funding and work programmes and horizontally across various funding instruments. Requirements reuse may provide a means to benefit from advances made in previous projects and enhance consistency between related equipment and systems. Requirements reuse as part of requirements development may support human systems integration (HSI) by transmitting knowledge or simply repurposing well-defined HSI requirements into the design of new technologies. This paper examines the potential of requirements reuse in EU border management research especially addressing user requirements. We explore our findings from the perspective of HSI that merges the knowledge and skills of different areas of human and organizational factors. The results are based on requirements development processes from seven multiannual EU funded border management projects, in which the authors have conducted research. In our analysis, we identify many factors influencing requirements reuse across separate border management projects. Despite heterogenous practices of requirements development implemented in European projects, the created requirements knowledge base should be utilised in an effective manner. Requirements reuse has multiple benefits and it should be considered more carefully in future when planning new projects.
Bio-AI Metaverse Integration: Fusion of Surgical and Aerospace Engineering
Authors: Heilala Janne
Published: January 2024

Recent advancements in real-time brain-computer interfaces (BCIs) hold immense promise for neurosurgery and beyond with a new framework to prepare for backbone surgery. These BCIs can potentially revolutionize surgical precision and patient outcomes by decoding real-time neural signals with 5G. However, their clinical effectiveness is still evolving. This study conducts a comprehensive review and meta-analysis to assess the methodological impact of real-time BCIs in neurosurgery. The research converges two perspectives: one focuses on integrating into humans for neurosurgical enhancements, while the other explores advanced BCIs involving augmented reality and quantum computing from an aerospace human systems integrator viewpoint. This interdisciplinary approach aims to harmoniously integrate these technologies within the human brain, potentially leading to groundbreaking advancements. The methodology employs a pragmatic innovation of cellular composite structured spacecraft with unbent human systems integration.
Emerging Technologies in Aviation: The Simulated Air Traffic Control Environment (SATCE) application in Competency Based Training and Assessment.
Authors: Ziakkas Dimitrios , Waterman Neil , Flores Abner
Published: January 2024

SATCE (Simulated Air Traffic Control Environment) is a system that enhances effective and efficient communication while simulating Air Traffic Control (ATC) scenarios for training purposes. SATCE implementation in aviation training provides a more realistic and immersive training environment (use of AI in communication requirements of training with controlled traffic volume and events), offering Competency Based Training and assessment (CBTA) features in phraseology and procedures. The Purdue - ASTi research case study of SATCE allows aviation SMEs to improve their knowledge and abilities in a realistic and immersive environment. Another possible application of digital siblings in SATCE is the simulation of various aircraft types and scenarios. The objective of team initiatives at Purdue University School of Aviation and Transportation Technology (SATT) is to investigate the behavior and performance of various training scenarios under SATCE and design, test, and certify the implementation – use of various flight devices in the existing airspace classification environment. By providing a more realistic and immersive learning experience (lean process for training/certification, transition to AI - AAM environment), the Purdue – SATT approach for SATCE can potentially increase the efficacy and efficiency of aviation training programs (CBTA globally). In addition, this research concentrates on mitigating residual risk in the 'AI black box' by concentrating on aviation ecosystem operations under SATCE – facilitating various aircraft types, airspace, and the implementation of AAM. The results are intended to analyze and evaluate the certification and learning assurance challenges associated with Artificial Intelligence (AI) under the SATCE perspective.
User-Centered Models for Adaptive Learner Journeys in Self-Paced Learning
Authors: Englmeier Kurt
Published: January 2024

Self-paced learning in digital education endows learners with the autonomy to explore educational content aligned with their interests and ambitions. However, managing the learning effort poses a challenge, as learners must continually estimate and regulate their individual learning pace throughout the course. This paper introduces a model for time and effort management to support learners' self-regulated learning (SRL) skills in self-paced digital courses. The model provides a blueprint for developing digital courses focused on self-paced learning paradigms and includes initial implementations at the Schmalkalden University of Applied Sciences. Successful self-paced learning relies on learners' metacognitive self-regulation strategies. Learners must develop effective SRL skills to monitor their progress, employ appropriate strategies for comprehension and retention, and autonomously manage their learning journey. An adaptive model is proposed to offer personalized recommendations based on individual learner characteristics. It includes a practical indicator model featuring learning complexity indices, estimated time-to-completion indicators, learning milestones, learn controls, and adaptive recommendations. Feedback mechanisms and interactive elements are highlighted for enhancing engagement and reducing cognitive effort in learning. The paper emphasizes the importance of adaptive models, user-centricity, and the need to continuously understand and enhance learner performance in self-paced learning environments to support successful course completion.
Evolution in videogame graphics: an approach between reality approach and user perspective
Authors: Daniela Gomez Rios Monica , Araujo Kerlly , Castro Felipe , Angel Quiroz Martinez Miguel
Published: January 2024

Technological progress in the video game industry has become increasingly visible at the time of consuming games, these tend to try to be more realistic either by the ambition of the developers or by request of the community of each video game; this approach to reality can be in various forms, the main one that we study in this work is in the graphic section, in-game mechanics, history and interaction with the game. Based on the existing intrigue of how video games today can be indistinguishable from life itself in their technical and graphical section, as well as being able to create emotional, immersive, and exciting stories; in this article, we analyze how these games can approach reality through everything they can offer us, analyzing the technologies that are currently used to make this possible and how we as users can perceive it as accurate. We use an analytical-descriptive methodology, using Scopus, IEEE, IGN, Google Scholar, and WoS databases. Thus, the purpose of this study is to review how video games increasingly come to resemble reality both in the technical/graphic section and in how users perceive that approach through the coherent narrative of the game. The results of this article show how the graphics engine has perfected the details such as particles, photo illumination, and environments; while artificial intelligence works with great support and improvement for greater power in the frames in addition to helping to refine the hyperrealism achieved by the graphics engine; for its part also the analysis of the behaviour of players when interacting with video games and that these transmit that immersive and authentic feeling at the time of consuming them. Concluding that the technologies of the games have had a significant advance in their graphical sections that now to see a scanned photo of nature is very complicated to differentiate it from an actual photo of some landscape.
Khatti: An Interactive Mobile Application for Training of Arabic Calligraphy
Authors: Aldayel Mashael , Saud University King
Published: January 2024

Arabic calligraphy serves as a powerful symbol of cultural identity and heritage, evolving and adapting to modern contexts, contributing to a dynamic and vibrant cultural landscape. The issue of handwritten recognition and training training in Arabic script nature has attracted many researchers from both academic and industrial fields. Khatti, an innovative mobile application, was proposed to facilitate the training and learning of Arabic calligraphy. It can help the trainee to improve their calligraphy using technology-driven approach that utilizes interactive features to clarify the details of script, fostering an intuitive learning experience, guiding beginners through the fundamentals and supporting seasoned calligraphers in honing their artistry. This paper investigates the conceptual framework and technical aspects of Khatti, highlighting its potential to revolutionize calligraphy education with the integration of machine learning algorithms. Additionally, application's potential for future development and its possible applications in artistic research and cultural preservation was discussed.
Vol3DEdu: Volograms' Integration in Education
Authors: Mangina Eleni , Mulay Hrishikesh , Amplianitis Konstantinos , Ondřej Jan , Pagés Rafael , Vrasidas Charalambos , Xerou Eftychia , Tzortzoglou Filippos , Sofos Alivizos
Published: January 2024

Despite the promises and obvious advantages to distance learning, there are concerns that need to be resolved. Not all students are suited for this type of learning with lack of interaction in real space. Also, teachers have expressed major concerns in terms of their passive role in the educational content delivery and their digital skills readiness. Modern technology like smart boards and student iPads have become the norm in the typical classroom. From ensuring a student’s full participation to greater ease in grading exams, many educators’ jobs have become easier through these technologies. However, the tools we’ve seen are just the tip of the iceberg for Generation Z students. This paper presents an effort to support the teachers and students (tomorrow’s educators) towards immersive learning, to inform them about the technological state of the art and the most promising learning app (Volu) for 3D Volumetric assets and to embed these within their educational practices. Vol3DEdu project aims to support teachers towards the incorporation of XR assets in their lesson plans and storytelling. Extended Reality (XR) can be a powerful educational tool as it enables students to experience a learning environment combining real-life physical and virtual objects. This combination not only augments what is possible with physical learning material alone but also makes use of the real world as a frame of reference for digital content. Nonetheless, creating an XR lesson requires specific digital skills and expertise that can be very challenging for many educators who have no or little relevant background. This paper will provide a description of the Vol3DEdu project and the evaluation from the initial feedback from the EU teachers involved.
A Bibliometric Analysis of Eye Tracking in User Experience Research
Authors: Shi Yang
Published: January 2024

This study employs bibliometric methods, which are methods that use quantitative analysis and statistics to measure the impact of publications, to provide insights into the research progress of ET-UER. The data source is the literature of ET-UER collected from the Web of Science database. VOSviewer and CiteSpace, which are software tools for visualizing bibliometric data, are used to conduct keyword analyses, evolutionary analyses, and co-citation analyses of the literature. The results show that the overall trend of literature volume is increasing. The hotspots of ET-UER include three main clusters: #1, the variables and evaluation content of eye tracking research; #2, the application scenarios of eye tracking; and #3, the indicators of eye tracking research. Evolution analysis reveals four trends in the development of ET-UER: firstly, the expansion of research scenarios; secondly, changes in eye tracking experimental environments and stimulus materials; thirdly, advances in research methods, paradigms, and analytical technologies; and fourthly, user centered design. The other trend is user-centered research. The most frequently co-cited research on ET-UER is divided into three categories: application of eye tracking technology, research on eye tracking technology, and methods and measurement. Based on the analysis of this study, the following three questions are still worth further attention. First, how to optimize the user experience of eye tracking as an interactive input. Second, how to support continuous and reliable research on gaze behavior in real-world experimental environments and for dynamic, 3D, interactive and other experimental materials, which requires more advanced experimental and data analysis techniques. Third, in the field of ET-UER, machine learning has great potential for follow-up research.
Through the Lens of ZMET Technique: Unveiling the Emotional Value and Innovative Integration of Campus Cultural and Creative Products
Authors: Wang Jianhong , Hu Xin
Published: January 2024

In recent years, the campus cultural and creative industry has attracted significant attention, yet its innovation and development still face multifaceted challenges. One of the most prominent challenges is the difficulty of fully incorporating consumers' deep-seated thoughts into the design elements of cultural and creative products. To gain a deeper understanding of consumers' sentiments towards the campus and to precisely meet their needs, this study aims to drive the innovative development of campus cultural and creative products.Through an analysis of the innovative diffusion process of cultural and creative products at the City University of Macau, the study reveals the challenges encountered by the campus cultural and creative industry in its innovation and development. The study utilizes the Zaltman Metaphor Elicitation Technique (ZMET), combining on-site investigations, questionnaire surveys, and semi-structured interviews to explore the metaphorical elements of campus culture and transform them into specific design elements for cultural and creative products.Additionally, the study applies models from innovation diffusion theory to explain and predict the market penetration process of campus cultural and creative products. The in-depth analysis of metaphorical elements in campus culture successfully disrupts traditional design patterns, injecting new vitality into campus cultural innovation.The application of the innovation diffusion theory model indicates that the innovative development of campus cultural and creative products is influenced by various factors, including product characteristics, market environment, and consumer behavior. The findings of this study provide new theoretical and practical guidance for the development of the campus cultural and creative industry. The application of the innovation diffusion theory model improves understanding of the market penetration process of campus cultural and creative products, offering fresh insights and directions for product innovation design. By gaining a deeper understanding of consumers' inner needs, we can more accurately anticipate the development trends of campus cultural and creative products, thereby enhancing the market adaptability of the products and user satisfaction.
Sustainable Warehouse Optimization: Integrating Industrial Design and IoT
Authors: Rezaei Shervin , Naghdbishi Hamid
Published: January 2024

This paper examines an industrial design project aimed at optimizing the warehouse operations in a food manufacturing plant. A diverse team of experts from various fields collaborated in this project, with the industrial designer playing a pivotal role in the product design process. The problem under investigation in this paper is the need to streamline the complex and time-consuming process of tracking, organizing, and locating product pallets in the factory's storage unit. To address this challenge, an integrated and comprehensive system was implemented in the warehouse, requiring seamless synchronization of multi-purpose devices. Harnessing the power of Internet of Things (IoT) technology was the chosen approach. The proposed solution involves the implementation of an Indoor Positioning System (IPS). IPS accurately locates individuals or objects indoors, where traditional GPS and satellite-based technologies often lack precision. This approach was successfully executed within the warehouse, where devices and products work in harmony toward a common goal. These changes result in improved inventory management, reporting on sales and production needs, and more efficient operations. It also simplifies the task of finding empty spaces for forklift drivers, reducing time wastage and enhancing overall factory and warehouse performance. This project not only aids in optimizing the warehouse section but also contributes to enhancing the overall performance and productivity of the factory.
Digital Technology：As a Manner of Sustainable Transformation for Stakeholders in Cultural Inheritance
Authors: Wang Lu
Published: January 2024

Digital technology has changed the traditional “oral teaching” environment in Chinese culture and has become an important means to promote cultural inheritance. Researchers are more focused on digital cultural protection and development to facilitate professionals' use of cultural resources and attract the general public’s attention to culture. While people are been treated as objects and only become passive recipients of digital cultural products. However, people are considered as the core of Chinese cultural inheritance and the key is to let more public become inheritors. Digital technology needs to consider how to facilitate the transformation of people. Through literature research, this study has analyzed different stakeholders of Chinese cultural inheritance. And using Bakhtin's theory of “dialogue”, the transforming paths of different stakeholders have been built. Based on the transforming path and case studies, the stakeholders’ transforming strategy by digital technology has been constructed. In this way, this study has provided a holistic perspective on using digital technology to promote cultural inheritance.
Sign Language Analysis Using CNN Algorithm
Authors:   Dept.ofComputer Engineering SKN Sinhgad Institute of Technology &  Science, Lonavala, Maharashtra, Gunjal Prof.S.P
Published: January 2024

Sign language is a rich and diverse mode of communication used by Deaf and hard of-hearing communities around the world. This paper presents a comprehensive analysis of sign language, focusing on its linguistic and gestural elements. Our study encompasses an exploration of the structural properties of sign languages, their historical evolution, and the cognitive and neural mechanisms underlying sign language processing. We begin by providing an overview of sign language as a natural and fully developed language with its own syntax, semantics, and phonological features. Drawing from various sign languages, including American Sign Language (ASL), British Sign Language (BSL), and others, we investigate the grammatical aspects and iconicity within signs. Furthermore, we examine the role of facial expressions and non-manual markers in conveying essential linguistic information. This analysis also delves into the historical and cultural dimensions of sign languages, shedding light on the evolution of sign languages and the influence of Deaf culture on their development. It highlights the importance of recognizing sign languages as unique cultural and linguistic entities, distinct from spoken languages. Keywords:Computer Vision; Convolutional Neural Networks; Sign Language Recognition