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检索条件"丛书名=Lecture Notes in Networks and Systems"

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Investigation of Safety Education Methods Based on the Results of a Survey of Elder Drivers' Learning Styles Toward an Automated Driving System 9th

Investigation of Safety Education Methods Based on the Resul...

引用

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

作者： Arame, Maki Goda, Yoshiko Handa, Junko Masashi, Toda Polytech Univ Japan Tokyo Japan Kumamoto Univ Kumamoto Japan

ISBN: (纸本)9789819750344;9789819750351

While driver assistance systems in automated vehicles are becoming more sophisticated to reduce accidents and the burden on drivers, there are concerns regarding drivers-system incompatibilities. Given the complexity of the risk structure when driving a car and the changes in people and society, there is a need to study strategies to further reduce the risk of accidents. In resilience engineering, the support for overcoming human awareness limitations has been studied as a risk-reduction method. Considering these circumstances, this study investigated the age-specific characteristics of drivers' learning styles and examined traffic safety education methods that are more acceptable to elderly drivers.

关键词： Learning styles Elderly drivers Decision tree analysis

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New Proposal Active Learning STEAM/Data Science Education in the Age of Industry 5.0 and Society 5.0 Applied Sports and Exercise Instruction Based on Eduinformatics 9th

New Proposal Active Learning STEAM/Data Science Education in...

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

作者： Kondo, Mizuki Kozaki, Ryosuke Kyogoku, Shigetomo Oshiro, Tsugumi Bannaka, Kenya Leong, Pey Kin Takamatsu, Kunihiko Mitsunari, Kenichiro Nakata, Yasuo Kobe Tokiwa Univ Kobe Hyogo 6530838 Japan Int Pacific Univ Okayama 7090863 Japan Singapore Univ Technol & Design Singapore 487312 Singapore Tokyo Inst Technol Tokyo 1528550 Japan

ISBN: (纸本)9789819750344;9789819750351

In the context of Industry 5.0 and Society 5.0, this study presents a novel Active Learning STEAM/Data Science educational approach that integrates sports and exercise instruction based on Eduinformatics. It addresses the shift in educational paradigms toward a competency-focused system, highlighting the transition from traditional teaching methods to active learning and facilitation in contemporary education, especially in engineering. The paper introduces Eduinformatics, a new interdisciplinary field that merges informatics with education, as a crucial tool for tackling emerging educational challenges. Focusing on the "Manaburu" course at Kobe Tokiwa University, the study explores how methods derived from sports science, such as kinesthesis, significantly enhance intrinsic student motivation. Key strategies include creating positive learning environments, understanding student perspectives, and promoting peer teaching. The study emphasizes the pivotal role of facilitators in active learning, focusing on the process rather than the outcome. Statistical analysis from Eduinformatics substantiates the effectiveness of these methods in improving motivation and learning outcomes in first-year education, showcasing the applicability of sports and exercise instruction in Active Learning-based STEAM/Data Science education.

关键词： STEAM/Data Science Education Industry 5.0 Society5.0 Sports and exercise instruction Eduinformatics

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Embedded AI and TinyML: A Practical Analysis of Workflows and Libraries 21st

Embedded AI and TinyML: A Practical Analysis of Workflows an...

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21st International Symposium on Distributed Computing and Artificial Intelligence

作者： Garcia, Ander Tardos, Javier Ferrando, Juan Luis Aguinaga, Daniel Perez, David Estanga, Leire Vicomtech Fdn Basque Res & Technol Alliance BRTA Mikeletegi 57 Donostia San Sebastian 20009 Spain Ikor Technol Ctr Francisco Grandmontagne St 4th San Sebastian 20018 Spain

ISBN: (纸本)9783031820724;9783031820731

Embedded AI has become a relevant research line with real applications involving the deployment of AI algorithms in units with limited computing resources, such as microcontrollers (MCUs). Embedded AI has led to TinyML, a recently emerged paradigm that proposes to embed optimized ML models in MCUs. Traditionally, this deployment has required a deep knowledge of low-level programming, but currently some higher-level software libraries ease this deployment. However, analysis and practical examples of these libraries are still scarce. The main objective of this paper is to present the practical deployment of some of these libraries on a Proof of Concept and a test bench to analyze their effects on the inference latency and accuracy of the AI models. Results show that the development and deployment of these embedded models is already a feasible task requiring only basic AI and programming experience. Furthermore, the inference latency and accuracy of these models meets the requirements of several real-world applications.

关键词： Embedded AI TinyML microcontroller ML

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Cracking the Mystique: Unveiling the Secrets of BL-Codes 3rd

Cracking the Mystique: Unveiling the Secrets of BL-Codes

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3rd International Conference on Network Security and Blockchain Technology

作者： Biswas, Aihik Barman, Subhas Samanta, Debasis Jalpaiguri Govt Engn Coll Jalpaiguri India Indian Inst Technol Kharagpur Kharagpur W Bengal India

ISBN: (纸本)9789819780501;9789819780518

We have come to know how we can use BL-algebra to construct a Block Code and how we may use it for encoding purposes. In this paper, we explore a method to decode the BL-code with the help of the predefined order between the BL-algebra L and the generated code C. While encoding, we take an arbitrary nonempty subset P on which the BL-function is defined. To start the decoding process, we establish a relation between the distance and weights of two codewords in C. We reconstruct the graph of the BL-algebra and find out the l-subsets of P

关键词： BL-algebra BL-function l-subsets BL-code Order relationship

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Advancements in Passenger Flow Optimization in Smart Transport: A Holistic Survey 9th

Advancements in Passenger Flow Optimization in Smart Transpo...

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

作者： Raj, Harshit Patel, Kalp Patidar, Sanjay Delhi Technol Univ Dept Software Engn Delhi 110042 India

ISBN: (纸本)9789819754403;9789819754410

Accurately predicting passenger flow is increasingly crucial, garnering significant attention in academia due to its benefits in managing crowds and potentially enhancing efficiency. This paper offers a comprehensive survey of contemporary developments in the field of passenger flow optimization. It focuses on three different approaches, namely ARIMA, traditional machine learning and deep learning. The study systematically compares and analyzes multiple research papers within the subtopics. By understanding the insights, identifying the trends and providing critical synthesis, this survey provides an overview of the state-of-art techniques in passenger flow optimization. The findings contribute to a deeper understanding of a broad field and offer valuable guidance for the researchers.

关键词： Passenger flow Smart transport Deep learning ARIMA Machine learning CNN LSTM

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A Novel Architecture for Enhancing Museum Visits Through Recommender systems, Digital Storytelling, and NFT 9th

A Novel Architecture for Enhancing Museum Visits Through Rec...

引用

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

作者： Casillo, Mario Gaeta, Rosario Lorusso, Angelo Marongiu, Francesco Santaniello, Domenico Valentino, Carmine Univ Salerno DiSPaC Fisciano Italy Univ Salerno DIIn Fisciano Italy

ISBN: (纸本)9789819750344;9789819750351

Visiting museums requires new technology support to improve the users' experience. In this field, multimedia tours can reach excellent results by adopting Digital Storytelling techniques and personalization tools, such as Recommender systems. In particular, this work describes an architecture based on a Recommender System able to identify suitable cultural assets and a nonlinear Digital Storytelling technique for deeply involving users in the cultural experience. For the personalization improvement, the architecture needs to acquire information related to the context in which the visit evolves, exploiting the Internet of Things paradigm. Moreover, the personalization tools' adoption allows the creation of a unique experience for the user requiring the proposed architecture to provide a non-fungible token (NFT) related to the user experience through integrating the blockchain technology. In the experimental phase, the recommendation approach proposed for the personalization objective is tested on a literature database, obtaining promising results.

关键词： Recommender systems Blockchain NFT Internet of Things Digital Storytelling

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Security of Connected Places 9th

Security of Connected Places

引用

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

作者： Shukla, Meha UCL 35 Tavistock Sq London WC1H 9EZ England

ISBN: (纸本)9789819750344;9789819750351

"Smart cities", now referred to as connected places, are changing how people interact with the built environments. While the redesign of streets to include digital elements may make a city infrastructure more efficient, it may also create new opportunities that puts the urban street environment into the spotlight of cybercrime. In the public spaces owned by Local Authorities (LAs), many of the delivery, operations, management, and maintenance of the smart infrastructure services is outsourced to private operators. The purpose of this research is to explore how LAs in the UK mitigate as well as govern the cyber and resilience risks of the connected place ecosystem. To explore the real-time challenges faced by the LAs, the security specifications in the procurement contracts for smart EV charging services were assessed against the guidance for managing security and resilience risks specified in the connected place principles rolled out by National Cyber Security Centre (NCSC). The initial observations indicate that the UK Government understands the urgent requirements to protect the smart infrastructure services, however, there needs to be improvements in operational governance, accountability, and assurance within the commissioning process to manage systemic risks of the connected ecosystem.

关键词： Smart city Connected place Smart street Smart EV charging Security Smart infrastructure services Resilience Local authority Procurement Supply chain Cybersecurity Cyber resilience

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Spread-Spectrum Based a New Secured Robust ImageWatermarking Scheme 3rd

Spread-Spectrum Based a New Secured Robust ImageWatermarking...

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3rd International Conference on Network Security and Blockchain Technology

作者： De, Supriyo Maity, Soumalya Bhaumik, Jaydeb Pal, Pabitra Giri, Debasis Maulana Abul Kalam Azad Univ Technol Dept Comp Applicat Nadia 741249 India Maulana Abul Kalam Azad Univ Technol Dept Informat Sci PG Nadia 741249 India Jadavpur Univ Dept Elect & Telecommun Engn Kolkata 700032 India Maulana Abul Kalam Azad Univ Technol Dept Informat Technol Nadia 741249 India

ISBN: (纸本)9789819780501;9789819780518

Nowadays, the advancement of modern communication systems, along with Internet usability, enhances the application of multimedia data in various fields. In this context, security in multimedia data is highly demanding to prevent unauthorized access, as well as to ensure confidentiality. This paper introduces a new reversible blind imagewatermarking scheme to validate the image authentication and confidentiality for secret information. To address this aim, a spread-spectrum-based message hiding technique is developed. The reduced Lorenz map combined with the sine-cos map is employed here to produce a key-dependent pseudo-random number (PRN), which is directly mapped into the cover image according to the bit pattern of the secret message. On the other hand, the message hiding has been performed in the cover image by decomposing it using a two-level integer wavelet transform (IWT). The robustness of the scheme is further improved by employing Hamming (7, 4) code and a geometric distortion correction module. Several cover images are used to examine the effectiveness of the proposed scheme. The experimental results present that this approach has better or equivalent robustness against common sig-D nal processing distortions and geometric distortions compared to relevant existing schemes.

关键词： Blind image watermarking Reversible IWT Chaos-based PRN Spread-spectrum Robustness Imperceptibility

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A Robust Interpretation of Criteria Interactions: Explaining the Human Development Index Ranking by a 2-Additive Choquet Integral Model 20th

A Robust Interpretation of Criteria Interactions: Explaining...

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20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based systems

作者： Mayag, Brice PSL Res Univ Univ Paris Dauphine LAMSADE CNRSUMR 7243 Pl Marechal Lattre Tassigny F-75775 Paris 16 France

ISBN: (纸本)9783031739965;9783031739972

The Human Development Index (HDI) is a widely recognized measure, designed to assess the overall well-being and development of nations. This article explores, in the context of Multiple Criteria Decision Analysis, the integration of the discrete 2-additive Choquet Integral into the computation of the HDI, by analyzing the interactions among its dimensions. We show that the HDI formula is equivalent to an additive model and then these interactions can only be interpreted as the possible interactions.

关键词： MCDA HDI Interaction Choquet integral Capacity

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Facial Detection and Recognition of Partially Occluded and Profile Faces 9th

Facial Detection and Recognition of Partially Occluded and P...

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

作者： Tikotekar, Rohan Godbole, Shaunak Kumbhare, Ayush Futane, Pravin Vishwakarma Inst Informat Technol Pune Maharashtra India

ISBN: (纸本)9789819750344;9789819750351

Facial recognition is a computer application that can identify, track, or verify human faces based on images or videos taken with a digital camera. Although significant advances have been made in facial recognition and security, identity authentication, and presence detection, there are still challenges that prevent human-level accuracy from being surpassed. These problems are variations on the appearance of the human face, such as various lighting conditions, face image noise, scale, pose, and others. This research paper presents a new approach by using CNN and Haar Cascade classifiers to solve some of these issues and improve the accuracy and detection rate of faces. While most tutorials on the topic aim to improve the accuracy of facial detection, this presented methodology allows facial recognition to detect and recognize frontal, profile photos as well as partially occluded faces. This unique feature of the proposed model opens up various applications in real-world scenarios where faces may be partially obscured, such as in crowded classrooms, busy office environments, or even in public spaces where people may attempt to break traffic signals. Experimental results show that the proposed method is comparable with the latest models and can be implemented in a real-world environment as an automated system.

关键词： Face detection Face recognition Computer vision Deep learning CNN Haar Cascade classifiers

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