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International symposium on digital Forensic and Security (ISDFS)

作者： Seydanur Ahi Duman Atahan Duman Rukiye Hayran İbrahim Soğukpinar Dept. of Computer Engineering Gebze Technical University Gebze Kocaeli Türkiye WAPP World Association of Positive Psychotherapyİst. Centr. İstanbul Türkiye

ISBN: (数字)9798331509934

ISBN: (纸本)9798331509941

Phishing continues to be an evolving cybersecurity menace, leveraging social engineering that preys on human vulnerabilities, such as risk-taking, trust, and cognitive biases. This research aims to systematically model these psychological dimensions using a six-category hierarchical framework Demographic Factors (DF), digital Literacy (DL), Risk-Taking Behavior (RTB), Trust Perception (TP), Psychological State (PS), and Cognitive Bias (CB) quantified by standardized scales (e.g., DOSPERT, Karolinska Sleepiness Scale). We integrate these factors via either a Hooking Factor (HF) domain-based formula or Logistic Regression (LR), applying SMOTE to mitigate class imbalance in our limited dataset (126 participants, only 8 actual phishing victims). A comparative analysis with existing phishing detection approaches highlights our psychological emphasis and flexible modeling strategy. Our key findings demonstrate: (1) Both HF and LR yield interpretable insights into user-level phishing vulnerability; (2) SMOTE helps minority-class recognition but may inflate performance; and (3) future real-time biometric monitoring of stress or fatigue could boost the model's adaptive capacity. We contribute a human-centric perspective that merges psychological measurement with machine learning for enhanced phishing defense strategies.

关键词： Biometrics Adaptation models Logistic regression Analytical models Phishing Biological system modeling Psychology Hafnium human factors Real-time systems

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Exploring the Potential of DeepSeek-R1 Model in Transforming Healthcare Solutions: An Overview

Exploring the Potential of DeepSeek-R1 Model in Transforming...

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International symposium on digital Forensic and Security (ISDFS)

作者： Muhammad Raheel Raza Shahbaz Ahmed Fahad Ahmed Khokhar Asaf Varol Peter Faber Business School Australian Catholic University North Sydney Australia Department of Computer Science Universitat Koblenz Koblenz Germany Department of Informatics & Mathematics University of Florence Firenze FI Italy Department of Engineering Management & Technology College of Eng. & Comp. Science Uni. of Tennessee at Chattanooga Chattanooga TN US Dept. of Computer Engineering College of Eng. & Nat. Sciences Maltepe University Istanbul Turkiye

ISBN: (数字)9798331509934

ISBN: (纸本)9798331509941

Over the past few decades, artificial intelligence (AI) has become more integrated into healthcare, with Large Language Models (LLMs) being a key component in improving healthcare decision-making. These LLMs' capacity to produce and interpret human-like texts has the potential to revolutionize healthcare procedures, where efficient data processing and communication are crucial. DeepSeek-Rl, created by DeepSeek AI, has drawn notice globally for its reasoning-based design that uses reinforcement learning (RL) to enhance problem-solving skills. Keeping this in view, the paper emphasizes the significance of the DeepSeek- Rl model and its application in the healthcare industry. Highlighting some hypothetical potential scenarios, we believe that DeepSeek models can playa crucial role in transforming existing medical approaches and revolutionizing the future of AI in health care.

关键词： Industries Biological system modeling Large language models digital forensics Decision making Medical services Reinforcement learning Data processing Security Problem-solving

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design and modeling of a Flexible Surgical Robot for Transnasal Pituitary Tumor Surgery 17th

Design and Modeling of a Flexible Surgical Robot for Transna...

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17th International Conference on Intelligent Robotics and Applications, ICIRA 2024

作者： Li, Tianliang Li, Jiajun Wang, Jun Xu, Yu Chen, Fei Tan, Yuegang School of Mechanical and Electronic Engineering Wuhan University of Technology Wuhan430070 China Department of Neurosurgery People’s Hospital of Wuhan University Wuhan430060 China Department of Otorhinolaryngology Head and Neck Surgery People’s Hospital of Wuhan University Wuhan430060 China School of The Chinese University of Hong Kong 999077 China

ISBN: (纸本)9789819607761

Pituitary tumours are a common intracranial tumour and are usually surgically removed using a transnasal approach. However, the use of existing rigid surgical manipulators cannot be applied to all transnasal pituitary tumour surgeries and craniotomy is still required for resection. Cable-driven continuum manipulators allow surgical operations to be performed in the confined and complex environment of the human body and to reach deep lesions. However, it is difficult to ensure the motility and load capacity of the manipulator while maintaining its small size. In this paper, we present a surgical robot for transnasal approach to pituitary tumour surgery with a slotted skeleton structure with orthogonally distributed elliptical cutting slots. It has been designed, modelled and experimentally tested. Forward kinematics and simplified inverse kinematics were established based on mechanical analysis and an improved D-H parametric method. The bending capacity and load characteristics were tested by prototype experiments, and the obtained achievable bending angle is 50° and the maximum allowable load is 0.35 N, which meets the actual engineering requirements. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Inverse kinematics

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STEM Educational Game "Young Engineer" to Improve the digital Competence of Students

STEM Educational Game "Young Engineer" to Improve the Digita...

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International symposium on INFOTEH-JAHORINA (INFOTEH)

作者： Aneliya Ivanova Diyan Yordanov Department of Computing University of Ruse Ruse Bulgaria Software Development Ideas4web Ltd Ruse Bulgaria

ISBN: (数字)9798331515799

ISBN: (纸本)9798331515805

In a time when digital competencies become even more important, among the students prepared to be future computer systems and technology engineers, a steady trend of decreasing interest in computer hardware has been observed. It looks like the predictions from the early 21st century that the children of the digital generation would be more likely to use digital technologies than to create them have turned out to be true. But the training of engineers in this field requires knowledge of at least the principles of Boolean logic, the basic logic gates, and the basic sequential and combinational circuits - the so-called "glue" logic because the lack of elementary knowledge in this area makes it difficult to study and design more complex digital systems. Interest in this subject should be encouraged at school age by appropriately introducing the "glue" logic to the students. STEM education is beginning to be massively applied in the school educational system but studying basic logic circuits and devices is weakly, let's say not at all, being presented within the abundance and variety of STEM lessons. The development of a STEM educational game for learning the principle of operation of basic logic gates and how they work together, connected in a circuit diagram, will contribute to increasing the interest in digital logic devices, and hence to easier teaching at university courses related to the design of various digital systems.

关键词： Knowledge engineering Visualization Codes digital systems Games Logic gates Market research Libraries Logic Integrated circuit modeling

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Accuracy Enhancement of Resistor-String digital-to-Analog Converters through Averaging Dynamic Element Matching

Accuracy Enhancement of Resistor-String Digital-to-Analog Co...

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IEEE design and Diagnostics of Electronic Circuits and Systems (DDECS)

作者： Francesco Gagliardi Michele Dei Department of Information Engineering University of Pisa Pisa Italy

ISBN: (数字)9798331528010

ISBN: (纸本)9798331528027

In integrated digital-to-Analog Converters (DACs), random mismatch errors among nominally equal unit elements significantly limit the achievable accuracy. This work explores the effectiveness of tailored Dynamic Element Matching (DEM) techniques in mitigating mismatch-induced non-linearity errors in resistor-string DAC architectures. Through statistical behavioural simulations, we identify effective DEM strategies that substantially reduce Integral Non-Linearity (INL). The proposed technique enables virtually zero INL errors at specific points of the transfer characteristic, which can be strategically chosen during circuit operation. Insofar, optimized design approaches for resistor-string DACs are proposed, fostering future integratedcircuit implementations with superior yield concerning accuracy and linearity specifications.

关键词： Resistors Accuracy digital-analog conversion Linearity Integrated circuit modeling Electronic circuits

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MXene-Liquid Metal Embedded Elastomer Aggregate Composites 41

MXene-Liquid Metal Embedded Elastomer Aggregate Composites

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41st Annual Semiconductor Thermal Measurement, modeling and Management symposium, SEMI-THERM 2025

作者： Zadan, Mason Hu, Yafeng Lipp, Jeremiah Majidi, Carmel Carnegie Mellon University Mechanical Engineering Department 5000 Forbes Ave PittsburghPA15213 United States Air Force Research Laboratory Materials and Manufacturing Directorate 5135 Pearson Road Wright-Patterson Air Force BaseOH45433 United States

ISBN: (纸本)9781735532554

Conductive fillers embedded within curing on non-curing elastomers or greases have been used extensively as thermal interface materials (TIM) between power modulus, processors, etc. and heat sinks. Traditionally, these filler materials consist of rigid materials such as aluminum or copper particles. More recent work has introduced soft composite materials such as liquid metal (LM) to improve thermal and electrical performance. This presentation introduces Ti3C2Tx MXene sheets as a coating onto LM micro-droplets to improve thermal and electrical performance at low bond line thicknesses (BLT) through induced aggregation. This presentation introduces the fabrication method, microscopy, microCT imaging, and thermal and electrical performance of these composite materials embedded within a silicone oil matrix. Results indicated that using tip sonication, MXene sheets can be exfoliated and wrapped around LM droplets through Van der Waals forces causing large clusters 3 orders of magnitude larger then without the introduction of MXenes. When the clusters are combined in a silicone oil even at low volume fills of 25 % LM and 1 % MXene there was a 4.6 times improvement over the 25 % by volume LM control at a 50 μm BLT. This work highlights how small amounts of 2D materials can be added to design nano-composites with vastly different properties and morphologies. © 2025 SEMI-THERM Educational Foundation.

关键词： Composite coatings

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Scientometric review and visualisation of City Information modeling (CIM) trends and future directions

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Discover Cities 2025年第1期2卷 1-31页

作者： Okonta, Ebere Donatus Israel, Godspower Chukwudi Okeke, Francis Ogochukwu School of Computing Engineering and Digital Technologies Teesside University Middlesbrough UK Department of Architecture University of Jos Plateau State Nigeria School of Engineering Technology and Design Canterbury Christ Church University Kent UK

City Information Modelling (CIM) has emerged as a promising approach for developing smart and sustainable cities. The study conducted a scientometric review and visualisation of global CIM research from 1996 to 2023 through a co-author, co-word, and co-citation analysis on 303 bibliographic records from the Scopus core collection database using VOSviewer and Gephi software. Prominent research domains encompass areas such as Smart City, digital Twin, CIM, 3D City Models, Geographic Information Systems (GIS), Building Information Modelling (BIM), Big Data, and the Internet of Things (IoT). Leading institutions contributing significantly to CIM research include NEC Laboratories Europe in Germany, the University of Florence in Italy, Loughborough University in the United Kingdom, South China University of Technology in China, the Georgia Institute of Technology in the United States, and the National University of Singapore in Singapore. These institutions have emerged as influential contributors to the field of CIM research. The United States, China, Germany, the Netherlands, South Korea, and the United Kingdom have emerged as leaders in citations for CIM research. Additionally, the study identified key publication outlets such as Sustainable Cities and Society, ISPRS journals, and Lecture Notes in Computer Science, emphasizing their pivotal role in disseminating CIM research. The study further identified some of the practical applications of CIM in Urban developments, such as Energy-Efficient Urban Planning, Urban digital Twins for Participatory Planning, Geographical digital Twins for Renewable Energy, Crisis Management Information Systems, Innovative Land Acquisition, Building Energy Consumption Optimization, and so on. Areas such as Artificial Intelligence, Blockchain, human Factors, design, Linked Data Benchmark, Photogrammetry, Photorealistic Texture, Virtual Reality, Ontology, and Semantic Web require considerable attention and warrant further studies. The study

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Advancing Connected engineering: Insights from the Space Station design Workshop 2024

Advancing Connected Engineering: Insights from the Space Sta...

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Annual IEEE Systems Conference

作者： Tharshan Maheswaran Claas Olthoff Gisela Detrell Institute of Space Systems University of Stuttgart Stuttgart Germany Human Spaceflight Technology Technical University of Munich Germany

ISBN: (数字)9798331508180

ISBN: (纸本)9798331508197

The Space Station design Workshop (SSDW), a cornerstone initiative at the Institute of Space Systems, University of Stuttgart, has been instrumental in educating students and young professionals in space station design for over 25 years. In 2024, the workshop was conducted in cooperation with the Technical University of Munich for the first time, marking a significant collaborative milestone. Building on extensive experience, a refined methodology incorporating Connected engineering principles was implemented, centered around the integration of the SYNERA software tool. This enhancement aimed to improve design process efficiency, team collaboration, and adaptability to evolving requirements. The integration of SYNERA led to an improvement in design iteration speed and an increase in inter-team data sharing compared to previous workshops. This paper analyzes the methodological advancements, the refined Connected engineering workflow developed within the International Planetary Sunshade (IPSS) project framework, and practical experiences from SSDW 2024. It highlights the potential of these innovations to advance space systems design education and practice, aligning with the increasing industry demand for digital transformation and Model-Based Systems engineering (MBSE).

关键词： Industries Technological innovation Conferences Space missions Education Buildings Collaboration Systems engineering education modeling Space stations

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A Game Between the Defender and the Attacker for Trigger-Based Black-box Model Watermarking

A Game Between the Defender and the Attacker for Trigger-Bas...

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International symposium on digital Forensic and Security (ISDFS)

作者： Chaoyue Huang Hanzhou Wu School of Communication and Information Engineering Shanghai University Shanghai China School of Big Data and Computer Science Guizhou Normal University Guiyang Guizhou China

ISBN: (数字)9798331509934

ISBN: (纸本)9798331509941

Watermarking deep neural network (DNN) models has attracted a great deal of attention and interest in recent years because of the increasing demand to protect the intellectual property of DNN models. Many practical algorithms have been proposed by covertly embedding a secret watermark into a given DNN model through either parametric/structural modulation or backdooring against intellectual property infringement from the attacker while preserving the model performance on the original task. Despite the performance of these approaches, the lack of basic research restricts the algorithmic design to either a trial-based method or a data-driven technique. This has motivated the authors in this paper to introduce a game between the model attacker and the model defender for trigger-based black-box model watermarking. For each of the two players, we construct the payoff function and determine the optimal response, which enriches the theoretical foundation of model watermarking and may inspire us to develop novel schemes in the future.

关键词： Biological system modeling digital forensics Closed box Modulation Watermarking Games Artificial neural networks Intellectual property Robustness Game theory

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digital engineering Framework for Promoting Health and human Performance with Immersive Technology

Digital Engineering Framework for Promoting Health and Human...

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Annual IEEE Systems Conference

作者： Gayathri Boopathy Emi Aoki Flore Norcéide Charles Thompson Erika Lewis Kavitha Chandra Department of Electrical and Computer Engineering Center for Advanced Computation and Telecommunications Department of Physical Therapy & Kinesiology UMass Movement Research Center University of Massachusetts Lowell Lowell USA

ISBN: (数字)9798331508180

ISBN: (纸本)9798331508197

The need for point-of-care health solutions and digital health interventions continues to increase, driven by an aging population and those displaced from the systemic impacts of environmental, infrastructural, and economic factors. These demographic and social shifts are placing unprecedented strain on the healthcare system. In response to these challenges, digital health solutions are emerging, although data indicates low confidence among both consumers and healthcare professionals due to a lack of regulatory oversight compared to traditional medical systems. This research explores the use of augmented reality (AR) technology in physical therapy and rehabilitation as a potential digital health intervention. The focus is on improving upper limb and hand mobility. This study employs a digital engineering design process in collaboration with physical therapists and clinical researchers. The goal is to utilize data from the AR sensors to capture quantitative information about a patient's therapeutic progress. The digital engineering framework presented can be applied for improving the validation and verification of technology-based digital health interventions, with the potential to enhance access to rehabilitation resources. Use-case and requirement diagrams are developed through close collaboration with physical therapy clinicians, to assess user engagement and therapeutic outcomes. Activity diagrams capture successive stages of improvement in the proposed system. The performance of the AR application in tracking joint angles and measuring mobility during prescribed gestures is evaluated against published normative values, highlighting the potential of this technology to improve upon manual measurement methods.

关键词： Hands Point of care Medical treatment Collaboration Manuals Electronic healthcare Sensors modeling Augmented reality Strain

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