bluuebunny/crossref_metadata_2025 huggingface dataset:
Human Factors-Centric Validation of a Security Management System in a Linked Critical Infrastructures Environment
Authors: Piekert Florian , H Stelkens-kobsch Tim , Boumann Hilke , Schaper Meilin , Carstengerdes Nils
Published: January 2025

This work reports the human factors-related validation results of a security system for the protection of linked critical infrastructures (CIs) against combined cyber-physical attacks. Attacks of any kind on CIs have increased in number and complexity. In order to prevent or mitigate interruption of services to the public, the protection of CIs is of high importance. As an evolution of recent security research on single and linked CIs, the EU H2020 project PRAETORIAN adopted a holistic security management approach that addressed linked CIs with one overarching toolset.The PRAETORIAN toolset is specifically designed to support security managers of CIs in their decision-making processes. It enables them to anticipate, manage, and withstand potential cyber, physical, or combined security threats that could target their own infrastructures, as well as other interconnected CIs. These threats could have a substantial impact on the operational performance or service provision of these infrastructures and potentially compromise the safety and security of the population residing in their vicinities.The toolset consists of four primary systems: the Physical Situation Awareness (PSA) system, the Cyber Situation Awareness (CSA) system, the Hybrid Situation Awareness (HAS) system, and the Coordinated Response (CR) system. Central to the toolset is the Interoperability Platform (IOP), which interconnects all the modules within the PRAETORIAN toolset. This interconnection facilitates seamless information exchange across all systems and modules, ensures efficient data storage, prevents the duplication of data between modules, replicates any changes made, and avoids potential inconsistencies. This integration is crucial for providing unified data accessibility across the entire platform and to obtain a clear nomenclature for events and situations across the different infrastructure domains. Each system is composed of multiple modules. This document offers only a brief overview of each system, comprehensive and detailed explanation of the toolset's architecture can be obtained from the corresponding cited documents within the full paper.The focus of the system validation was put on the assessment of operators' feedback about the PRAETORIAN system (the toolset). In four exercises, potential attack scenarios were presented to groups of selected operators along with demonstrations of the PRAETORIAN tools. Feedback was collected using questionnaires, debriefing questions and open questions throughout the presented scenario. The key validation results show that the system could offer benefits for cross-infrastructure security management, but that improvements relating to systems and HMIs, procedures and responsibilities are required.
Optimization-Based Automated Tasking for Complex Multi-Drone Missions
Authors: Mendes Pedro Verónica , Schulte Axel
Published: January 2025

In this article, we present a concept for generating collaborative behavior for a heterogeneous team of drones with different capabilities that allows executing complex tasks in future military Manned-Unmanned-Teaming (MUM-T) helicopter missions. In these missions, the pilot is required not only to control their own helicopter but also to manage a large number of drones. This scenario quickly creates excess workload, as well as possible underusage of available resources. To prevent this, we create a simple command interface for the pilot that allows to assign multiple tasks to the drones by selecting only essential parameters. These, in turn, are used to automatically distribute the resources and generate an easily adjustable mission plan.Our approach starts by designing the interface that allows the pilot to choose from a menu of broad objectives (for example, the two main use-cases considered: “reconnaissance” or “coordinated attack”) that express the desired goal. Then, some more specific parameters need to be chosen. In the first case, the pilot needs to select the area, point or object to be analyzed, as well as the level of desired accuracy and time invested. For example, on the coordinated attack , where the drones need to engage a certain number of targets at the same time, the pilot needs to manually select the intended targets. In order to create reliable automated tasking, two main aspects must be taken into account. First of all, the mission scenario, with parameters such as the level of risk of the considered area; the number, size, type of defenses, and location of targets, and whether these are static or moving. These elements, along with the goal, will determine the success criteria and variables to be optimized for each mission. For example in the first use-case, if the targets are moving, the mission may only be deemed successful once the section is swept multiple times. For the second use case, both the trajectory as well as the UAV velocity need to be computed in order for an attack to happen simultaneously. Additionally, drone characteristics must be considered, such as sensor capabilities (with respective uncertainty and range), replacement costs, and airspeeds. Once all these elements are properly defined, they can be used to define the utility function (which is the probability of mission success) that is then maximized by the candidate parameters (such as trajectory and velocity).These aspects are used to calculate the probability of mission success to be maximized, as well as the optimization constraints needed. This concept will enable complex multi-drone missions and will be integrated into our mission and cockpit simulator environment for testing and verification by pilots from the German Army .
Professional Competencies of Civil Engineers through the QHS-Six Sigma Methodology
Authors: Manuel Alonso Reyes Jose , Licona Martinez Arturo , Martinez Rodolfo
Published: January 2025

The QHS-Six Sigma Methodology is used to promote the development of civil engineer professional competencies, encouraging comprehensive skills to ensure performance with knowledge, skills, and attitudes for systemic development with a focus on continuous improvement and innovation in the quality of professional services projects to clients in the construction industry. The provision of services of civil engineering professionals involves knowing aspects of the context of business, government, academia, associations, and consulting, as well as specific skills of teamwork, quality controls, project management and monitoring of key performance indicators (KPIs). Key aspects in the training of civil engineers, for the field of the construction industry with quality tools based are used to supervise and optimize the management of materials in projects. The contribution of the QHS-Six Sigma methodology in civil works projects is to improve critical thinking and problem-solving skills. Collaboration between students, faculty, and industry experts supports the teaching process and enables students to perform effectively in workplace work teams.
Towards Understanding Human-Technology Migration: Internal Interaction in Automated Road Vehicles
Authors: Weiser Paul , Preutenborbeck Michael , Usai Marcel , Flemisch Frank
Published: January 2025

Vehicle automation has evolved from early systems, like cruise control, to more advanced technologies requiring deeper exploration and understanding of human-automation interaction and Human Systems Integration. Initially, research focused on human-computer interaction, but it later shifted towards a dynamic cooperation between humans and machines. As vehicle automation levels will vary in the future from partially to highly and fully automated systems, new safety concerns arise. These are particularly relevant for transitions of systems between automation levels and migrations of humans and technology between different configurations of the socio-technical systems. This paper describes a work-in-progress in the German DFG-project MiRoVA (Migration of Road Vehicle Automation), especially subproject 4, which focuses on internal interaction in the vehicles, e.g. between the automation and the driver. In this subproject we aim to address gaps in understanding the impact of automation migration on human-machine interaction. The focus is to explore how changes in automation levels affect human-machine cooperation and HMI design. This paper presents the fundamental aspect of human systems migration of vehicle automation, followed by resulting goals and the research concept created to investigate the impact of automation migration on human-machine interaction in human-in-the-loop simulations of traffic systems.
An autonomous shuttle for everyone: What information do users need when using shuttles?
Authors: Kuck Ida , Wagner-douglas Lotte , Wirtz Lena , Ladwig Stefan
Published: January 2025

One of the objectives of the publicly funded autotech.agil project is to develop an autonomous on-demand shuttle to make public transport more flexible. In this context, the goal is to develop an inclusive interface solution that provides relevant information to all user groups. As autonomous on-demand shuttles also open up new perspectives regarding mobility for people with disabilities, the user-centered development process will also consider participants with special needs. For this purpose, six workshops with 28 participants from different user groups were conducted: people with undisclosed disabilities (n = 12), retired (n = 4), cognitively (n = 3), physically (n = 4), and visually impaired (n = 4) were conducted. The information needed at the stages, “arrival of shuttle at station”, “traveling with shuttle”, “arrival at destination”, and the preferred location of the information, “display” vs “smartphone” vs “both”, were assessed. The analysis showed that at both stages, arrival of shuttle as well as traveling, all groups needed similar information. Apart from general information such as the time of arrival, the information needed when arriving at destination differed between the groups. Regarding the location of information presentation, most user groups (except retired participants) went for redundant presentation on both, smartphone and display. A subsequent step is to use the information gathered to develop a suitable inclusive HMI for an autonomous shuttle. Further studies need to investigate the comprehensibility of such a solution.
Optimizing Healthcare Efficiency with Local Large Language Models
Authors: Lorencin Ivan , Tankovic Nikola , Etinger Darko
Published: January 2025

Large Language Models (LLMs) are increasingly recognized for their potential to alleviate administrative burdens in healthcare, enabling medical professionals to focus more on patient care rather than time-consuming administrative tasks. This paper explores how local LLMs can support healthcare settings by automating and streamlining routine administrative duties, improving workflow efficiency, and ultimately enhancing patient care.One of the key applications of LLMs is in the management of medical documentation. Healthcare professionals often spend significant time on tasks such as transcribing patient notes, updating medical records, and completing forms. By using LLMs, these processes can be automated or simplified. The models can transcribe and structure patient interactions in real-time, generate diagnostic summaries, and update electronic health records (EHRs) based on structured inputs, reducing the time healthcare providers spend on paperwork. This not only saves valuable time but also minimizes the risk of errors associated with manual data entry.Another area where LLMs can be beneficial is in appointment scheduling and patient communication. LLMs can be integrated into practice management systems to manage appointments, send reminders, and handle patient inquiries. By processing natural language requests, these models can schedule or reschedule appointments, direct patients to the appropriate specialists, and provide answers to frequently asked questions. This reduces the administrative workload for healthcare staff, allowing them to focus on more critical tasks and improving overall clinic efficiency.In addition, LLMs can assist with billing and insurance processing. By automatically extracting relevant information from patient records and claims, LLMs can generate billing codes, verify insurance coverage, and ensure that all necessary documentation is submitted. This reduces the administrative burden on healthcare providers and billing departments, streamlining the reimbursement process and minimizing errors in insurance claims.Local LLMs also aid in regulatory compliance by automatically ensuring that healthcare institutions adhere to relevant legal requirements, such as patient consent and privacy regulations. By continuously monitoring the creation and modification of medical records, these models can flag potential issues related to compliance and generate alerts, ensuring that healthcare providers remain in line with regulations such as GDPR. This proactive approach to compliance reduces the risk of legal liabilities and minimizes the time spent on manual checks.In conclusion, by automating tasks such as documentation, scheduling, billing, and regulatory compliance, local LLMs can improve workflow efficiency, reduce human error, and enhance overall productivity in healthcare settings. As the technology evolves, local LLMs have the potential to significantly transform healthcare operations, allowing medical professionals to focus on what matters most: their patients.
Developing a Liquid Hydrogen (LH2) System Layout for an Aircraft: A Programmer's Perspective
Authors: Korek Wojciech , Blundell James , Li Wen-chin , Lu Linghai , Whidborne James , Clare Thomas , Beecroft Peter
Published: January 2025

The future of aviation lies in the adoption of sustainable technologies such as liquid hydrogen (LH2) fuel systems. The integration of these systems requires sophisticated management of the fuel flow, control mechanisms, and pilot interaction. This paper discusses the development of an LH2 system layout for a next-generation aircraft, with a focus on the simulation and interface design process from a programmer’s perspective. Utilising Cranfield University’s Future Systems Simulator (FSS), an iterative design and implementation process involved collaboration between pilots, engineers, and human factors specialists. Design and implementation: Initial conceptual designs were created in Miro during a series of workshops with subject-matter experts and pilots that refined key control elements and safety-critical aspects of the LH2 system. These prototypes were implemented in the FSS using Unity and linked with the aircraft and engine models, providing a platform for instant changes based on the pilot's feedback. Key technical challenges included developing control-loop algorithms for HMI that allowed autonomous engine management with pilot override capabilities. Data transmission between the FSS and LHextsubscript{2} model was optimised using half-byte encoding to handle real-time system data efficiently despite the large volume of information. Scenario: A series of test flights were performed in the FSS using the newly developed LH2 engine model and HMI layout. The first test was a "clean" flight, with no system faults, where pilots started the LH2 engines using electronic checklists, completed a circuit flight, and landed. Subsequent flights involved triggering system faults to assess pilot responses. Two sessions were conducted: the first with project-involved pilots aware of the potential faults, and a second "blind" trial with external pilots. Pilots wore eye-tracking devices, and post-flight interviews were conducted to gather qualitative feedback. System Usability Scale (SUS) scores were also recorded to evaluate interface usability.The pilot interface provided intuitive synoptic pages for system monitoring and control to enhance situational awareness and response times. Feedback from the trials will guide future refinements to the HMI layout, focusing on safety and usability optimisation.Conclusions: This paper demonstrates the integration of advanced programming techniques and human-centred HMI design, which is critical to the successful implementation of sustainable fuel technologies in aviation. It also highlights the importance of flight simulation platforms like the FSS in enabling safe and cost-effective development and testing of these systems. Future research will focus on optimising the procedures, layout design, and control algorithms, which will lead to conducting real-world validation tests for certification.
The influence of cutural locality on the understanding of visualization in system operation
Authors: Gou Hualan , Gong Xinbei
Published: January 2025

Digital world brings about thoughts on system operation visualization, the degree of visualization greatly affects the difficulty of system operation. the operation process of easily understand can increase the popularity and inclusiveness of the system to some extent. Currently, the visualization of the system is more based on refined words and simple graphics or symbols. It main purpose is to let users clarify and use the operation by intuitive "understanding", It formed by previous and cultural etc. As Heidegger and Gadamer (1983) both say that this anticipatory projection of meaning underlies every act of understanding. In sensing a thing we sense it as something . And, "any act of understanding language involves an interplay of text context. The whole and the part give meaning to each other" (Snodgrass & Richard, 1997). Actually, this Theory commonly apply on the theoretical base of visualization in system operation, the “understanding” should be placed in the whole region, The region is the whole and the visualization language is the part. The area has a strong locality (Cooke, P., 1990) including conventional concept about the understanding. For example, the empirical influence brought by the "Pictographic" culture in China, they thinking of or seeing a shopping cart we they go online shopping , it must be equated with a symbol similar to a car. In the process of system operation, from left to right (from general to specific), from top to bottom (functional distribution to induction and balance), it is more of an intuitive thinking (Sun & Wang, 2002) . however,it is indeed different in Europe, the guidance to system processes and information is more straight forward as their think. This paper mainly uses comparative research method to take China and Europe as examples to analyze the impact of visualization in system operation in system operation processes and symbol understanding due to the cultural locality.
Human Machine Interface Design for Intelligent Vehicle Systems
Authors: Gong Xinbei , Gou Hualan
Published: January 2025

With the advancement of technology, advanced technologies such as big data, internet and artificial intelligence have been applied to the automotive industry, and the importance of human-computer interaction interface in automotive design has become more and more prominent. In retrospect, traditional automobiles were mainly regarded as tools for traveling, and the interaction between drivers and automobiles was mostly limited to basic vehicle control. However, the needs of modern drivers have become more diversified, and human-computer interface design nowadays has a direct impact on driving safety and overall experience. Based on the driver's perspective, this paper provides an in-depth discussion on human-machine interface design and analyzes the major problems currently encountered by drivers in using intelligent vehicles, including complex interfaces, untimely or inaccurate information transfer, etc. By studying the driver's behavioral habits, psychological needs and special requirements in driving scenarios. Combined with the relevant theories of ergonomics, design psychology and other disciplines, this paper explores how to enhance the driver's user experience through more intelligent and humanized interaction interface design, help users obtain driving information more quickly and accurately, and meet the driver's needs for future automotive human-computer interaction.
Intelligent Process Control: The Case of Designing Predictive Service for Wastewater Treatment Plant
Authors: Koskinen Hanna , Heikkilä Päivi , Myllylä Mari , Aromaa Susanna , Karvonen Antero
Published: January 2025

The way we carry out our industrial operations needs to be radically transformed to foster sustainable development. In addition, the integration of advanced automation and emergence of AI-based solutions is poised to revolutionize the role of human operators as well as the industrial landscape in process control in general. In this paper, we present a case study on designing and implementing a predictive AI-based service to the wastewater treatment plant of a carboard factory. The new service is aimed at providing an improved overview of the process as well as giving suggestions about the chemical dosing. We have conducted user interviews accompanied with a user experience questionnaire to study how the operators experience the new AI-based service. The results show the potential of intelligent technologies in process control but also highlight the importance of carefully considering the human technology interaction and the need for better integration of expert users’ experiences and knowledge into the AI system. It seems obvious that only human centric approach can lead to smooth and resilient human technology interaction and enhanced industrial operations.
The Role of Immersive Technologies in the Design of eVTOL Simulators
Authors: Ziakkas Dimitrios , Henneberry Debra
Published: January 2025

As the electric Vertical Take-Off and Landing (eVTOL) aircraft industry advances, the development of high-fidelity simulators becomes crucial to support pilot training, operational safety, and the integration of eVTOLs into urban air mobility (UAM) ecosystems. This paper explores the transformative role of immersive technologies—such as virtual reality (VR), augmented reality (AR), mixed reality (MR), and Simulated Air Traffic Control Environments (SATCE)—in the design and development of eVTOL simulators, focusing on the convergence of human factors and cutting-edge technological innovation. Combined with SATCE, immersive technologies enable realistic, dynamic training environments that simulate the unique flight characteristics and control interfaces of eVTOLs. SATCE, developed by companies like ASTi, U.S.A., provides a sophisticated simulation of air traffic control (ATC) interactions, allowing pilots to practice real-time communication and decision-making under complex traffic and airspace scenarios. This technology helps bridge the gap between traditional aircraft training and the distinct challenges posed by eVTOL operations in dense urban environments, enhancing pilot situational awareness and decision-making in highly dynamic and unpredictable contexts.This paper examines key case studies where VR, MR, AR, and SATCE have been applied in aviation training, including the implementation of SATCE systems by ASTi and the work of FAST-Group Aero in Germany, who have led the integration of immersive technologies into eVTOL and UAM simulator environments. These examples demonstrate how artificial intelligence-driven communication and immersive simulation transform eVTOL pilot training by offering a comprehensive training experience encompassing technical flight skills and communication with air traffic control, particularly in managing vertical lift, multi-axis control, and navigation through complex urban airspace. Additionally, we explore future trends in immersive technology and its applications in eVTOL simulator design, emphasizing creating adaptable, scalable solutions that align with evolving regulatory frameworks. As UAM continues to grow, there is an increasing need to address the human factors challenges of eVTOL operations, such as pilot workload, human-machine interaction, and emergency scenario management. Integrating immersive technologies and SATCE offers a significant opportunity to optimize these aspects, providing a safe, controlled, and engaging training environment. In conclusion, this paper proposes a human-centric approach to eVTOL simulator design, where immersive technologies and SATCE systems not only replicate real-world complexities but also enhance the learning experience, paving the way for safer and more efficient integration of eVTOLs into the airspace.
Innovative Nanofiber Membrane Hydration Bladder for Camping: A Sustainable Approach to Lightweight, Portable, and Safe Water Storage
Authors: Wang Ronghan , Li Wenjing
Published: January 2025

With the increasing popularity of outdoor activities, about 57 million people go camping every year in the United States alone, and they often face challenges in drinking and storing water in the wild. Traditional plastic or metal water storage containers usually have problems such as being too heavy, inconvenient to carry, and environmental pollution. These containers are not only inconvenient to carry, but also difficult to degrade after being discarded, causing long-term pollution to the environment. This study proposes to use a revolutionary ultra-lightweight and breathable nanofiber membrane to design a portable camping water bag to solve these problems. The nanofiber membrane is made of recyclable and bio-based materials, which not only has excellent waterproofness, elasticity and durability, but also has environmental sustainability. The high-density nanofiber membrane can provide excellent waterproof performance, making it very suitable for making portable water bags. In addition, reducing the density of the nanofiber membrane can give it a certain water filtration function, achieving basic water purification effects in outdoor environments. The material can also effectively prevent bacterial penetration, thereby avoiding water resource pollution and ensuring safe water storage in outdoor environments. This material can degrade in the natural environment, greatly reducing the impact on the ecological environment compared to traditional plastic products. The designed water bag has high waterproofness of 10,000 mm H2O, excellent air permeability of 25,000 g/m²/24hrs, and outstanding tensile strength. It can be easily folded for easy carrying and storage, allowing campers to store more water without increasing the carrying burden. A series of performance tests such as pressure resistance, tear resistance, and temperature resistance showed that the nanofiber membrane water bag demonstrated excellent functionality in a variety of outdoor environments. The results of the study indicate that nanofiber membranes have broad application prospects in the design of high-performance, environmentally friendly, and multifunctional camping equipment, which not only enhances the user experience but also minimizes environmental impact. Future research will further optimize the material properties and explore its wider application in outdoor equipment.
Decoding Pet Signals: Bridging the Gap for Accurate Diagnoses
Authors: Pinho Rafael , Tironi Gustavo , Correia Walléria , Mattjie Helouise
Published: January 2025

The global pet care market is booming, with pet owners increasingly seeking ways to understand and improve the well-being of their animal companions. This demand extends beyond domestic pets to working animals, such as those in law enforcement and the military, and even to livestock in the agriculture industry. Accurate and timely diagnosis of health issues is crucial in all these sectors, but traditional methods often rely on subjective observations and infrequent veterinary visits. This paper introduces a novel Internet of Things (IoT) platform designed to bridge this gap by providing continuous, objective monitoring of animal behavior and activity.Our platform employs a non-invasive, wearable device equipped with an array of sensors that capture physiological and movement data. This data is then processed using advanced machine learning algorithms to classify the animal's activity into predefined categories, such as resting, playing, eating, or exploring. By analyzing patterns and deviations in these activities, we construct a comprehensive "Activity Level Indicator" (ALI). This index provides a clear and quantifiable measure of the animal's overall well-being, categorizing them as normal, hyperactive, or lethargic.Furthermore, the collected data is visualized through an intuitive dashboard accessible to pet owners, trainers, and veterinarians. This dashboard provides valuable insights into the animal's daily routines, activity levels, and potential anomalies. For pet owners, this translates to a deeper understanding of their pet's needs and early detection of potential health concerns. For trainers, the platform offers data-driven feedback to optimize training programs and monitor progress. Veterinarians can leverage the platform to access objective data, aiding in diagnosis and treatment planning, and enabling remote monitoring of patients.This paper details the development and validation of the IoT platform, including the sensor technology, machine learning models, and dashboard design. We present results from a pilot study demonstrating the platform's effectiveness in accurately classifying animal activities and identifying deviations from normal behavior patterns. The potential applications and implications of this technology are discussed, highlighting its contribution to improving animal welfare across various domains, from enhancing the bond between pets and owners to revolutionizing animal healthcare in veterinary practice and the agriculture industry.
Analysis of Research Progress and Trends in Extended Reality Therapy Based on Bibliometrics
Authors: Xiao Qi
Published: January 2025

XR technology has provided a great deal of academic research in treating and improving physical and mental diseases. In this paper, 315 articles related to "Extended Reality" and "Art Therapy" collected by Web of Science were retrieved by bibliometric method, and the research status of this research field was analyzed visually by combining Citespace and VOSviewer, and the future trend was predicted. It references the XR healing system in health research direction, discipline frontier, research gaps, etc. The results showed an increasing trend in the amount of literature on the cable range. The United States, Germany, and Italy are leading in research, but the cooperation between institutions could be closer. Finally, from the technical point of view, XR therapy's research hot spots, opportunities and challenges are evaluated. From the interdisciplinary and artistic point of view, the artistry of the XR therapy system and XR art therapy are distinguished.
The impact of Application icon design aesthetics on user downloads
Authors: Wang Yifang
Published: January 2025

With the rapid development of the Internet, understanding the popularity of APP icon is crucial for designers and R & D personnel. People 's daily life, work and entertainment are inseparable from downloading APP application software. People pay more and more attention to the design effect and experience effect of mobile products. At present, the research on APP icon mainly focuses on program operation and text attributes, and less attention is paid to the design aesthetics of APP icon,how to make users feel the attraction of app itself to users in addition to considering the necessity of app when downloading app icon is a problem that needs to be studied. This paper uses literature analysis, case analysis and interview to study the impact of APP icon design aesthetics on user downloads. The researchers collected the top three APPs of 12 different types of APPs from the seven-wheat data download list, and used the theory of interface design to analyze their design aesthetics commonalities from the perspectives of color, element complexity and symmetry, and proposed four hypothetical questions. Finally, through the interview method, it is concluded that app icon is more popular with users if it follows the principle of conciseness and clarity, the principle of multiple colors, the principle of multiple colors, the principle of balanced U-shaped and the principle of slight complexity, and the download volume will increase significantly. It is hoped that through the research of this paper, the overall design level of APP icon will be further improved.
Advanced Computational Modeling and Simulation for Immersive Virtual Reality Experiences: Preserving Hong Kong's Traditional Handicrafts
Authors: Man Tin Lai , Li Xiaoqiao , Fung Lam Tsz
Published: January 2025

This research investigates the preservation of Hong Kong’s traditional handicrafts, specifically porcelain paintings (Guangcai), through advanced computational modeling and Cave Automatic Virtual Environment (CAVE) systems. The study develops an interactive digital platform that transforms traditional artistic expression into contemporary digital experiences by combining physics-based simulation, haptic feedback, and immersive narratives within a Virtual Reality (VR) framework. The methodology consists of several critical modeling and simulation components, including data digitalization, rendering optimization, real-time performance and interactive solutions, creating an essential framework for cultural heritage preservation in various fields while demonstrating the potential of computational modeling in bridging traditional handicrafts with modern technology.
Modeling the emergence of collaborationism
Authors: Zharikova Maryna , Pickl Stefan
Published: January 2025

This paper explores the complex phenomenon of collaborationism, particularly in the context of Russian aggression against Ukraine. It examines the socio-political, economic, and ideological factors that contribute to an individual's propensity to collaborate with occupying forces. By leveraging extensive data collected in Ukraine, the study proposes a novel approach using neural networks to model the emergence of collaborationism. This approach aims to identify potential collaborators by analyzing indicators such as material well-being, ideological beliefs, and moral qualities. The research highlights the importance of understanding the interplay between pre-existing conditions and trigger events, offering predictive models that can be applied across Europe to enhance national and international security frameworks. The findings underscore the need for comprehensive strategies to address both the symptoms and root causes of collaborationism, thereby strengthening resilience against internal and external threats.
Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation
Authors: Herbort Robin , Green Dominik , Hinrichsen Sven
Published: January 2025

The application of Large Language Models (LLMs) for the automated generation of assembly instructions shows significant potential for improving work preparation in production processes. However, challenges remain regarding the overall information quality and precision of the generated instructions. In light of these challenges, this study explores how the information quality of automatically generated assembly instructions can be enhanced through the targeted provision of structured input data, such as Assembly and Quantity BOMs (Bills of Materials), as well as the use of optimized prompt chaining techniques. The methodology employs ChatGPT-4o in combination with Retrieval Augmented Generation (RAG) within the Microsoft Azure environment. The results demonstrate that structured data inputs, particularly the use of Assembly BOMs with defined Tool-to-Component relations, significantly improve the precision and relevance of the generated instructions. Despite these advancements, achieving consistent information quality remains a barrier to broader practical implementation. Therefore, feedback loops should be integrated into the assembly instruction generation process to ensure continuous refinement and reliability. Future research should investigate the use of RAG or similar frameworks, focusing on optimizing data structures and implementing feedback mechanisms to enhance the automated generation of assembly instructions.
Project Eskalator: Navigating the Innovation-Funding Maze in Small and medium-sized enterprises
Authors: Bakir Robin , Müller Maximilian , Bakir Dennis
Published: January 2025

Small and medium-sized enterprises (SMEs) face significant challenges in navigating the complex landscape of innovation and funding. This paper presents Project Eskalator, an integrated framework designed to bridge the gap between innovation management and funding strategies for SMEs. Through a mixed-methods approach involving surveys, case studies, and expert interviews across diverse industry sectors, we examined the interplay between innovation potential identification, agile business model development, and strategic funding acquisition. Our findings reveal that SMEs adopting an integrated approach to innovation and funding demonstrate higher rates of successful product launches, improved market adaptation, and enhanced resilience during economic uncertainties. The framework emphasizes adaptive business models, rapid prototyping, and lean methodologies suitable for resource-constrained environments. Additionally, we found that SMEs developing concise, compelling narratives around their innovative ideas were significantly more successful in securing stakeholder buy-in and accessing diverse funding sources. Project Eskalator represents a paradigm shift in how SMEs approach the dual challenges of innovation and funding, enabling them to break the paralysis of indecision and navigate the complex innovation-funding landscape with greater confidence and success.
Project Ikarus: Catalyzing Digital Transformation in SMEs through Adaptive Education and AI Integration
Authors: Bakir Robin , Müller Maximilian , Bakir Robin , Kippschnieder Benedikt
Published: January 2025

Project Ikarus represents a pioneering initiative in artificial intelligence and digital transformation education, specifically tailored to meet the needs of small and medium-sized enterprises (SMEs), IT freelancers, consultants, and professionals across various sectors. This innovative AI academy "Fortschrittschmiede-Mittelstand" addresses the growing demand for practical digital literacy in these fields by offering a comprehensive curriculum that bridges the gap between theoretical concepts and their real-world applications. The platform's educational framework is built upon a series of professional online modules, meticulously crafted to adapt to the individual needs of participants through the implementation of agile methodologies and adaptive learning algorithms. This approach implies specific learning paths and ensures that learners from diverse professional backgrounds can effectively engage with and master digital transformation concepts and techniques directly applicable to their industries.
Canadian Junior Public Markets Health Check: Surprising Resilience Thus Far, Some Concerns Looking Forward
Authors: Wilson L. Daniel
Published: January 2025

It is widely recognized that Canada, along with other developed Western economies, has a significant public capital markets problem. Increasingly fewer operating companies are choosing to go public, limiting access to the most attractive growth-stage opportunities for retail investors. Thus far, analysis of the public company decline phenomenon in Canada has focused almost exclusively on the Canadian senior capital markets. Reasons for the lack of focus on the Canadian junior markets include: i) fragmented nature and inconsistent data accessibility, requiring extraction and collation of data from a variety of different underlying sources; and ii) the fact that Canadian junior capital markets are unique, primarily dealing with companies of a smaller size and earlier stage of maturity than one would encounter in other international public markets. Yet, the Canadian junior capital markets fill a critical role in the Canadian economy, in particular because of the lower level of access to institutional private capital for startup and growth-stage businesses in Canada compared to our American neighbours.
This paper conducts a health check on the Canadian junior public markets. Surprisingly, the evidence demonstrates that the junior markets have proved resilient in the face of headwinds and the total number of listed operating companies on the junior stock exchanges in Canada has not followed the declining trendline of the senior markets. The makeup of issuers listed on Canadian junior public markets has evolved materially over the past 15 years; as the market has fragmented, new competitors have taken market share from the incumbent TSX Venture Exchange.
Resilience Among Generation Z: Navigating Challenges and Building Strength
Authors:   Associate Professor, Woxsen University, Hyderabad, India., Madhu Janet
Published: January 2025

Resilience, the ability to adapt to adversity and recover from setbacks, has become a critical topic of discussion in the context of Generation Z (Gen Z), the demographic cohort born roughly between 1997 and 2012, is currently emerging as one of the most influential, and to a certain extent perceived as notoriously indifferent. Growing up in an era defined by rapid technological advancements, global crises, and shifting societal norms, Gen Z has developed a unique sense of resilience that both reflects and responds to their environment. This article delves and explores into what resilience means for Gen Z, the challenges they face, the strengths they exhibit, and highlights the behaviours and attitudes that define this generation as they navigate this world.
Water Quality Monitoring Using Arduino and Turbidity Sensor
Authors:   ECE & IARE, NAGARAJU, V SIVA
Published: January 2025

Water quality monitoring is essential for ensuring safe and clean water for various applications, including drinking, agriculture, and industrial use. Traditional methods of water quality assessment are time-consuming and require laboratory testing, making real-time monitoring challenging. This project proposes an Arduino-based water quality monitoring system that provides a cost-effective and efficient solution for realtime data collection and analysis.

The system utilizes multiple sensors to measure key parameters such as pH level, turbidity, temperature, dissolved oxygen, and conductivity. These sensors are interfaced with an Arduino microcontroller, which processes the collected data and transmits it to a display module or a cloud-based server for remote monitoring. The real-time data acquisition enables users to take immediate corrective actions when water quality deviates from acceptable standards.

The proposed system is ideal for applications in rural and urban water supply systems, aquaculture, and environmental monitoring. Its low cost, ease of deployment, and real-time functionality make it a promising alternative to traditional water quality testing methods. Future enhancements can include IoT integration for remote monitoring and AI-based analytics for predictive water quality assessment.

Keywords: Arduino, water quality monitoring, pH sensor, turbidity sensor, IoT, real-time monitoring
SONAR VISION: ULTRASONIC RADAR USING ARDUINO
Authors:   Professor , ECE, Institute of Aeronautical Engineering, Nagaraju V Siva
Published: January 2025

This project explores the design and implementation of an ultrasonic radar system using Arduino to detect and map objects within a specified range. The system employs an ultrasonic sensor (HC- SR04) to measure distance by emitting sound waves and capturing their reflections. A servo motor rotates the sensor to scan the environment, providing angular data. The Arduino microcontroller processes the data and transmits it to a computer for visualization using custom software or the Processing IDE. The radar can identify obstacles in real time, making it suitable for applications like security systems, object detection, and robotics. Its low cost, ease of implementation, and scalability make it a versatile tool for educational and practical purposes.

Key Words: ultrasonic radar, Arduino, HC-SR04, distance measurement, servo motor, object detection, real-time scanning, visualization, low cost, robotics.
Indian Sign Language Detection
Authors:   Department of Computer Science and Engineering, MIT Art, Design and Technology University¹,²,³,⁴  Professor at MIT ADT University⁵, Shinde Aditya
Published: January 2025

- The communication gap remains one of the most significant barriers between individuals with hearing and speech impairments and the broader society. This project addresses this challenge by developing a real-time Indian Sign Language (ISL) detection system that leverages computer vision and machine learning techniques. By capturing hand gestures from video input, the system translates these movements into text or speech, enabling effective communication between ISL users and those unfamiliar with the language. Additionally, the system incorporates text-to-speech functionality, ensuring a seamless and humanized interaction experience.

The proposed model utilizes Convolutional Neural Networks (CNNs) for image processing and gesture recognition, trained on a comprehensive dataset of ISL gestures. The framework employs preprocessing, feature extraction, and classification algorithms to accurately identify static and dynamic gestures. The system is designed to focus on the nuances of ISL, providing accurate recognition of gestures in real time while offering multilingual support.

This initiative aspires to create an inclusive environment by empowering the hearing-impaired community and promoting better integration within society. By using cost-effective techniques, the project ensures scalability and practicality for everyday applications, making communication more efficient and inclusive.

Keywords: Indian Sign Language (ISL), Gesture Recognition, Convolutional Neural Networks (CNNs), Real-time Communication
Streamlining Healthcare Data Management: An In-Depth Exploration of a Spring Boot Based Embedded Health Record Keeper Application
Authors:   Professor, Department of Electrical and Electronics Engineering, Hindusthan College of Engineering and Technology, Coimbatore, A M Suriya Kumari
Published: January 2025

This journal explores the development of the Health Record-Keeping System, designed to address the complexities of modern healthcare record management. By integrating advanced technologies such as RFID and fingerprint security with PostgreSQL databases and Spring Boot, the system provides a secure and user-friendly platform for managing an individual’s comprehensive medical history from birth onward. The primary aim is to enhance data accessibility, ensure security, and empower users while meeting the needs of healthcare facilities and patients. Over the course of a person's life, healthcare systems must manage extensive and secure medical records. In order to overcome these issues, this article presents the Health Recordkeeper Application, a unique system that combines embedded system implementations like RFID and fingerprint security with PostgreSQL databases utilising Spring Boot. The principal aim of this programme is to facilitate the maintenance of an individual's entire medical history, including information about vaccinations, diagnostic tests, medication records, and other related facts, from the time of birth to the present. Within healthcare facilities, the system allows users with unique ID cards that support RFID technology to securely add and view medical records.