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Design and Developement of Data Acquisition System for a Fsae car

Design and Developement of Data Acquisition System for a Fsa...

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Advancements in Electrical, Electronics, communication, computing and Automation (ICAECA), international conference on

作者： Akila K Subash C Kishore R Saravanan R Murugesan K Department of Mechatronics Engineering Kumaraguru College of Technology Coimbatore India Department of Automobile Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

New advances in DAQ and telemetry systems have become a primary basis for enhancing performance in FSAE vehicles. Current systems, although providing all necessary information on vehicle dynamics, are more limiting in terms of higher expenses, scalability, and integration complexity issues. It is by this regard that this work aims to propose a new, low-cost DAQ and telemetry system tailored to FSAE applications and developed by integrating different sensors into Arduino microcontrollers. It captures and transmits real-time data about the vehicles, allowing teams to monitor and analyse performance metrics efficiently. Building on previous work in hardware design, remote telemetry, and data analysis methodologies, this paper puts forth an overall framework for an economic but high-performance system. Experimental results have been generated that yield improvements over conventional alternatives in terms of data reliability, transmission velocity, and cost efficiency. The proposed methodology addresses the gap between high-function telemetry capabilities and fiscal constraints by providing a scalable framework for motorsport organizations while simultaneously allowing for potential developments within this area.

关键词： Temperature sensors Temperature measurement Microcontrollers Data acquisition Reliability engineering Real-time systems Temperature control Telemetry Vehicle dynamics Monitoring

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Secure Network Innovation in Defense: SDN and Quantum Cryptography with DISCRETION

Secure Network Innovation in Defense: SDN and Quantum Crypto...

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Quantum communications, networking, and computing (QCNC), international conference on

作者： Juan P. Brito Jesús Ballesta Rubén B. Méndez Luis Mengual Laura Ortiz Vicente Martin Rafael Cantó Alejandro Muñiz Antonio Pastor Diego López Stephan Laschet Sebastian Ramacher Pietro Piscione Ahmed K Abdulwahed Pietro Giardina Miguel Freitas Rui Calé Luis Maia Luis Magalhães Gustavo Anjos Ricardo Chaves Joana Afonso Pedro Martins Tiago Dias Francisco Pinto Margarida Vieira Rodrigo Bacar Catarina Bastos Center for Computational Simulation Universidad Politécnica de Madrid Madrid Spain GCTIO Telefónica Innovación Digital Madrid Spain Center for Digital Safety & Security AIT Austrian Institute of Technology Vienna Austria Nextworks Pisa Italy Altice Labs Aveiro Portugal Adyta Porto Portugal Instituto de Telecomunicações Aveiro Portugal INESC–ID/IST/ULisboa University of Lisbon Lisbon Portugal INESC–ID/ ISEL Polytechnic University of Lisbon Lisbon Portugal Deimos Engenharia Lisbon Portugal

ISBN: (数字)9798331531591

ISBN: (纸本)9798331531607

In military contexts, information and communication services are critical, relying on secure and robust infrastructures. However, current network architectures in defense are often static and inflexible. Software-Defined networking offers significant advantages in terms of flexibility, agility, net-work management, and operational costs. These properties are essential in dynamic environments, and SDN technology can further enhance these benefits by incorporating Software-Defined Radio technologies, which are highly used in defense environments. Additionally, SDN networks can ensure redundancy and resilience against failures. The adoption of SDN facilitates the flexible integration of Quantum Key Distribution networks, which provide an inherently secure method for cryptographic key distribution across network nodes. However, current QKD implementations face limitations in scope and flexibility, as they are generally based on fixed, point-to-point connections and static infrastructure. Together, SDN and QKD present synergistic benefits: SDN enables a flexible QKD network with enhanced control and monitoring capabilities, while QKD ensures secure communication even against quantum threats within the SDN architecture. The DISCRETION project develops an SDN solution integrating QKD capabilities for secure communications, enhancing European defense capabilities through these advanced technologies. Cipher Machines within DISCRETION assure the red-black network segregation, an essential feature in military networks. This is provided by enabling real-time encryption and decryption using keys supplied by the SDN-QKD layer, alongside pre-shared keys. For mobility and tactical scenarios, SDR solutions are evaluated and incorporated into the SDN solution to support radio network segments and ensure secure communications in mobile contexts. The proposed DISCRETION solution was deployed at the REPMUS 2024 defense event, yielding notable results.

关键词： Military communication Technological innovation Europe Robustness Encryption Quantum cryptography Software defined networking Resilience Quantum communication Software radio

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Smart Water Ball Launcher: An Arduino-Based Fire Extinguishing System

Smart Water Ball Launcher: An Arduino-Based Fire Extinguishi...

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Intelligent Data communication Technologies and Internet of Things (IDCIoT), international conference on

作者： Govindu L V N Sridhar M. Janakiram M. Vishnu Ram Sai G. Surya Narayana Reddy Meena Belwal Department of Computer Science and Engineering Amrita School of Computing Bengaluru Amrita Vishwa Vidyapeetham India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527556

The proposed work offers the production of an Arduino controlled Fire-RoboCar equipped with a water ball launcher. In a world dominated by human-machine interaction in industry, the efficiency of any task to be done is promoted by this proposed work and delivers solutions to needs like fighting fires through the provision of a productive method. At a time when increased pollution and the expense of fossil fuel are becoming very high, this alternative is environment-friendly. The Fire-RoboCar is a moving robot that can accomplish fire extinguishing tasking in an industrial complex, proving that the system may easily transport water to desired locations. This proposed work advances robotic vehicles' capabilities and provides innovative solutions to modern industrial challenges.

关键词： Service robots Weapons Scalability Water conservation Water pollution Sensors Safety Sustainable development Wireless fidelity Remote control

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Analyzing Performance Patterns and user Experience in Online Cybersecurity Challenges: Insights from SKRCTF

Analyzing Performance Patterns and user Experience in Online...

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Intelligent control, computing and communications (IC3), international conference on

作者： Vinai K Singh R S Sengar Navneet Pandey Department of Applied Science and Humanities GL Bajaj Group of Institutions Mathura Department of Electrical Engineering GL Bajaj Group of Institutions Mathura Department of Mechanical Engineering GL Bajaj Group of Institutions Mathura

ISBN: (数字)9798331527495

ISBN: (纸本)9798331527501

The field of cybersecurity education has undergone a significant transformation, with the emergence of innovative e-learning platforms that aim to bridge the gap between academic institutions and industry. This study investigates the effectiveness of SKRCTF, a customized Capture-the-Flag platform designed to support cybersecurity skill development, through comprehensive analysis of user performance patterns and learning experiences. Drawing from data collected from 120 participants over a 12-week period, this research employs mixed-methods analysis to examine learning progressions, engagement patterns, and skill development pathways in cybersecurity education. The findings reveal three key insights: 1. the emergence of distinct specialist and generalist learning patterns, challenging traditional assumptions about linear skill progression; 2. the identification of an optimal engagement zone that maximizes learning effectiveness; and 3. the discovery that analytical challenges serve as effective entry points for cybersecurity skill development. The study also uncovers a complex relationship between perceived difficulty and learning outcomes, where higher perceived difficulty often correlates with increased persistence rather than decreased engagement. These insights contribute to both theoretical understanding of cybersecurity skill development and practical platform design considerations. The research suggests that effective cybersecurity education platforms should support multiple learning pathways, implement structured engagement mechanisms, and carefully sequence challenges to optimize skill development. These findings have significant implications for the design of cybersecurity education programs and the development of future security professionals.

关键词： Industries Electronic learning Education User experience Global communication Cultural differences Computer security Next generation networking Intelligent control

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A Comprehensive Survey on Software Defined networking (SDN) Security 1st

A Comprehensive Survey on Software Defined Networking (SDN) ...

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1st international conference on computing and Emerging Technologies, ICCET 2023

作者： Mabood, Nouman Tariq, Noshina Khan, Farrukh Aslam Ashraf, Muhammad Department of Avionics Engineering Air University Islamabad44000 Pakistan Center of Excellence in Information Assurance King Saud University Riyadh11653 Saudi Arabia

ISBN: (纸本)9783031776168

Software Defined networking (SDN) is growing as the next generation network technology. The separate control and data planes in SDN allow the advent of new features. Centralized flow management and network programmability encourages improved network functions by improving flexibility, scalability, visibility, and cost-effectiveness. While SDN evolution is a crucial enabler for implementations in varied networking situations, like data centers and ISPs in multiple domains, the concept still needs to be considered for more security and reliability with little dependability to data, hence avoiding its agile nature adoption. Recently, this field has drawn the attention of the research community for exploring SDN security and addressing the gaps seen in adopting SDN. Since the idea of SDNs is in the developing stage and there are many loopholes in the security architecture of the SDN, many attacks may take advantage of the vulnerabilities and configuration issues in its elements. This paper attempts to cover the salient features of the SDN architecture and its primary components. It also sheds some light on the security issues such networks face and the main threats they can encounter. Some remedies taken for countering the threats and attacks are also mentioned. Finally, the unexplored and challenging SDN areas are highlighted to attract future research work. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： communication Security Network Security Software Defined networking (SDN)

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Towards Reliable CIDS: Hybrid Reputation and Challenge Strategies for Combating Internal Attacks

Towards Reliable CIDS: Hybrid Reputation and Challenge Strat...

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Robotics, control and Automation (ICRCA), international conference on

作者： Yuandong Min Jingjing Zhang Sicong Liu Jia Li Furong Yu Jianjun Chen Hao Zhang National Engineering Research Center for E-Learning Faculty of Artificial Intelligence in Education Central China Normal University Wuhan China Wuhan Maritime Communication Research Institute (WMCRI) Wuhan China

ISBN: (数字)9798331544577

ISBN: (纸本)9798331544584

Collaborative Intrusion Detection Systems (CIDS) serve as crucial firewalls, maintaining system security through necessary information exchange and integration among nodes in distributed systems. While CIDS excel at defending against external network attacks, internal threats remain a significant challenge. To identify malicious internal nodes, researchers typically adopt trust management mechanisms. However, current methods often fail to effectively take into account nodes' global reputation and historical behavior. Recognizing the similarities between distributed networks and social networks, we propose a hybrid trust computation mechanism based on social network reputation theory and develop a high-performance node clustering model. Simulated experiments conducted on a network with 50 nodes demonstrate that our method achieves higher accuracy and recall rates in identifying malicious nodes under adverse conditions compared to traditional methods, thereby enhancing the resilience of distributed networks against internal attacks.

关键词： Social networking (online) Firewalls (computing) Computational modeling Intrusion detection Reliability theory Network security Trust management Robots Information exchange Resilience

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Detecting Deceptive Narratives in Social Media Using Advanced Natural Language and Signal Processing Techniques

Detecting Deceptive Narratives in Social Media Using Advance...

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Intelligent control, computing and communications (IC3), international conference on

作者： Manjunatha Ginni Nijhawan B. Veerasekhar Reddy Rusul Najm Maneesh Upadhya Karibandi Venkata Sai Lakshmi Harika Department of Mechanical Engineering New Horizon College of Engineering Bangalore India Lovely Professional University Phagwara Department of Information Technology MLR Institute of Technology Hyderabad Telangana India Radiology Techniques Department College of Medical Technology The Islamic University Najaf Iraq Department of Electrical Electronics & Communication Engineering Galgotias university Gerater Noida Uttar Pradesh Department of CSE GRIET Bachupally Hyderabad Telangana India

ISBN: (数字)9798331527495

ISBN: (纸本)9798331527501

The recent spread of fake news through social media has raised very crucial issues of information credibility. The current study presents an employ of signal processing methodology., natural language processing (NLP) for the scheduling of the fake news detection system. The Kaggle Fake News Challenge dataset is used in this research; it provides a rich set of news articles labeled as fake and real. The proposed technique has been called NLP-SignaIFusion., and it applies TF-IDF and wordPEDES for the extraction of textual features from the opinion and sentiment data. Sentiment analysis is used as feature extraction method in this context in order to detect the affective content which fulfils the aim to suggest markers of deception. Logistic regression and neural networks classifiers are applied to categorize the news articles. The targets I employed to perform the model assessment include accuracy., the receiver operating characteristic- area under curve., and the confusion matrix. The integration of signal processing with NLP optimizes the fake news detection and provides new avenues for understanding the differences between anything fake news in social medial.

关键词： Sentiment analysis Logistic regression Accuracy Social networking (online) Neural networks Machine learning Feature extraction Fake news Signal detection Sorting

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Ensuring Data Integrity in Multi-Tenant Cloud Environments Through Advanced Testing

Ensuring Data Integrity in Multi-Tenant Cloud Environments T...

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advances in Computer Science, Electrical, Electronics, and communication Technologies (CE2CT), international conference on

作者： Vinay Kumar Gali Sansar Singh Chauhan Gopal Kumar Gupta Padmini Rajendra Bulani Vardhansinh Yogendrasinnh Ravalji Kumaresan Durvas Jayaraman Nagarjuna University Guntur Andhra Pradesh India Department of Computer Science and Engineering G.L. Bajaj Institute of Technology and Management Greater Noida India Symbiosis Institute of Technology Nagpur Campus Symbiosis International (Deemed University) Pune India Institute of Chartered Accountants of India Northeastern University Boston MA USA Bharathidasan University Tiruchirappalli Tamil Nadu India

ISBN: (数字)9798331518578

ISBN: (纸本)9798331518585

fortunately, multi-tenant cloud environments offer a more cost-effective provisioning model that consumes infrastructure to store and access data. As the volume of sensitive data processed and stored in the cloud continues to grow, ensuring data integrity has become a top concern for organizations. Data integrity is the information that is correct, consistent, and reliable is stored in the cloud. To address this issue, we also present a solution that allows us to maintain integrity in a multi-tenant cloud environment using advanced testing. The standard approach to testing (functional and performance testing) does not identify and will enable us to prevent data integrity problems. That's because these approaches describe the system's functionality and performance rather than the accuracy of the system's data. They proposed a solution that used techniques like anomaly detection, data profiling, and data quality checks to discover possible integrity issues in the dataset. The new techniques work within the testing process, while all data is assessed for integrity before being stored in the cloud.

关键词： Access control Cloud computing Data integrity Disasters Standards organizations Authentication Organizations Cryptography Reliability Testing

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ZTAAC : Zero Trust Adaptive Authorization with CP-ABE for Context-Aware Data Protection

ZTAAC : Zero Trust Adaptive Authorization with CP-ABE for Co...

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international communication Systems and Networks and Workshops, COMSNETS

作者： Kasturi Routray Padmalochan Bera Indian Institute of Technology Bhubaneswar India

ISBN: (数字)9798331531195

ISBN: (纸本)9798331531201

In modern dynamic and distributed computing environments, secure and adaptive access control for sensitive data is essential. Traditional access control models often fail to address the complexities of evolving and heterogeneous systems. To overcome these challenges, we propose a Zero Trust Adaptive Authorization Architecture (ZTAAC) that integrates the principles of Zero Trust, Never trust, always verify, along with the cryptographic flexibility of a Ciphertext-Policy Attribute-Based Encryption (CP-ABE) scheme. ZTAAC introduces a central zero trust controller, which incorporates a policy decision point and a risk engine to facilitate real-time risk assessment and dynamic policy enforcement. The risk engine evaluates contextual parameters such as user location, device posture, and behaviour patterns to enable real-time adaptation of access policies through feedback loops that refine access decisions dynamically. Our enhanced CP-ABE framework embeds static and dynamic attributes-based access policies within encrypted data, ensuring that only authorized users with valid context can decrypt it. Dynamic attribute management facilitates the generation and integration of key components for contextual attributes and aligns access decisions with current security postures. Preliminary performance analysis confirms ZTAAC’s scalability and efficiency, establishing it as a robust and adaptive solution for securing data in next-generation cloud-assisted and distributed environments.

关键词： Authorization Feedback loop Scalability Distributed databases Real-time systems Zero Trust Performance analysis Risk management Engines Next generation networking

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Telemedicine and Remote Patient Monitoring: Enhancing Access to Healthcare Through IoT and AI Technologies

Telemedicine and Remote Patient Monitoring: Enhancing Access...

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advances in Computer Science, Electrical, Electronics, and communication Technologies (CE2CT), international conference on

作者： Sachin Ramchandra Misal Lavanya Mohan Suresh Kumar Sundararajan Balakrishna Bathala Saheli Majumdar C. Sivakumar International Institute of Management Science Pune Maharashtra India Department of Psychiatry Azeezia Medical College Hospital Kollam Kerala India Department of Medical Oncology Kalaignar Centenary Super Speciality Hospital Institution Chennai Tamil Nadu India Cardiovascular and Pulmonary Department of physiotherapy School of Paramedical Allied and Healthcare Sciences Mohan Babu University Tirupati Andhra Pradesh India Department of Hospital and Health Management Institute of Management study Kolkata West Bengal India Department of Computer Science and Engineering Vinayaka Mission's Kirupananda Variyar Engineering College Vinayaka Mission's Research Foundation (DU) Salem Tamil Nadu India

ISBN: (数字)9798331518578

ISBN: (纸本)9798331518585

A significant shift in contemporary medical treatment is represented by combining Artificial Intelligence (AI) and the Internet of Things (IoT) into telemedicine, virtual medical treatments, and remote patient monitoring. An increasing elderly demographic, the rise of chronic illnesses, and unequal access to healthcare treatment are driving up the need for worldwide medical structures, and AI is emerging as a key instrument in tackling these urgent problems. This investigation utilized a smart monitoring gadget with an IoT emphasis to monitor the heart rate of elderly people. The device tracks patients' GPS statistics in real-time and informs healthcare professionals of any confinement violations for any emergency. The smart sensor connects to a networking interface in the IoT cloud, which processes and analyzes data to determine bodily functioning. The suggested architecture has 3 levels of functionality: a cloud tier with Application Peripherals Interfaces for mobile gadgets, smart IoT detectors, and smartphone applications. Each layer has a particular role. Statistics from the IoT perception tier are initially gathered to detect heart attacks. This layer stores data in a cloud server for preventative measures, alerts, and speedy actions. The smartphone program alerts the patient and the family during emergencies. This study proposes CNN-UUGRU, a new deep neural network architecture that combines convolutional and upgraded gated recurrent segments for identifying human actions. This system outperformed other deep neural networks on the Kaggle database, accomplishing 97.8% accuracy, 96.9% precision, and an F-value of 97.85%.

关键词： Temperature measurement Temperature sensors Heart rate Patient monitoring Cloud computing Telemedicine Medical treatment Internet of Things Artificial intelligence Older adults

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