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International Conference on Control, Mechatronics and Automation (ICCMA)

作者： Soumya. A Linga Reddy Cenkeramaddi Chalavadi Vishnu Yash Vinod Lanjewar Krishna Mohan C Department of Computer Science and Engineering Indian Institute of Technology Hyderabad India Department of Information and Communication Technology University of Agder Grimstad Norway Department of Architecture and Regional Planning Indian Institute of Technology Kharagpur India

This paper presents a multi-perspective convolutional neural network (CNN) that extracts the class of objects supporting intelligent transportation systems. The proposed model is the visual geometry group (VGG) backbone network with custom feature extraction blocks, that use multilayer prediction heads. The model addresses both multi-class and multi-object classification tasks utilizing the automotive object detection dataset. The model is designed with multiple prediction heads to classify different objects in an image and enable object count prediction. A publicly available automotive object detection dataset with 19800 images and labels has been utilized. The dataset consists of five primary types of objects: Persons, Trucks, Motorbikes, Cars, and Cyclists. On the dataset, pre-trained models such as VGG, Resenet, EfficientNet, and DenseNet were tested and their classification performance was evaluated. The experimental results illustrate the superiority of the proposed VGG backbone deep learning CNN model in comparison to other pre-trained models.

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Boosting Solar Energy Production of a Building using New Architectural Design

Boosting Solar Energy Production of a Building using New Arc...

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Computational Intelligence and Sustainable Engineering Solutions (CISES), International Conference on

作者： Ladan Khalvati Zahra Ebrahimi Sheykhshabani Afshin Balal Negin Arbabzadeh Department of Design Texas Tech University Lubbock USA Architecture Department Pars Institute of Art and Architecture Tehran Iran Department of Electrical and Computer Engineering Texas Tech University Lubbock USA College of Architecture Iran University of Science and Technology Tehran Iran

Fossil fuels and air pollution are significant problems nowadays, causing many countries to increase their investments in renewable energy development. As the world's energy demand grows, governments are looking into and developing alternative energy sources like solar energy. Solar energy is one of the most promising solutions to address the above problem. In addition, the development of sustainable design in architecture has become a crucial factor in the construction industry as the world faces the challenges of climate change and diminishing fossil fuel reserves. Architects are now seeking innovative ways to incorporate sustainable and renewable energy sources into their designs. Solar energy, as a sustainable and clean energy source, has gained significant attention in recent years. It offers an opportunity to reduce the dependence on non-renewable energy sources and lower carbon emissions. Additionally, the use of solar technology in architectural designs can enhance the aesthetic appeal of buildings while providing energy efficiency. Building-integrated photovoltaic systems have emerged as a popular solution that allows for the integration of photovoltaic cells into the structure of buildings. In this paper, a new architectural design for a building in Tehran is proposed, which leads to the increase of generated solar energy. Needless to say, the designs must be beautiful to look at, functional, and good for the environment. Grasshopper and rhino are utilized to demonstrate the design. In addition, System Advisor Model (SAM) is implemented to study the economic analysis of the solar photovoltaic system planted on the building. The simulation result indicates that with the new design, the power production is increased from 21437 kWh to 69484 kWh. In addition, by using the proposed system in comparison with fossil fuel power plants, a huge amount of air pollution is will be removed from the air.

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A review of Federated Learning in Intrusion Detection Systems for IoT

arXiv

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arXiv 2022年

作者： Belenguer, Aitor Navaridas, Javier Pascual, Jose A. Department of Computer Architecture and Technology University of the Basque Country UPV/EHU Spain

Intrusion detection systems are evolving into intelligent systems that perform data analysis while searching for anomalies in their environment. The development of deep learning technologies paved the way to build more complex and effective threat detection models. However, training those models may be computationally infeasible in most Internet of Things devices. Current approaches rely on powerful centralized servers that receive data from all their parties – violating basic privacy constraints and substantially affecting response times and operational costs due to the huge communication overheads. To mitigate these issues, Federated Learning emerged as a promising approach, where different agents collaboratively train a shared model, without exposing training data to others or requiring a compute-intensive centralized infrastructure. This paper focuses on the application of Federated Learning approaches in the field of Intrusion Detection. Both technologies are described in detail and current scientific progress is reviewed and categorized. Finally, the paper highlights the limitations present in recent works and presents some future directions for this technology. © 2022, CC BY-NC-SA.

关键词： Internet of things

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Development and study of the impacts of automated walking aids on the elderly 20

Development and study of the impacts of automated walking ai...

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20th International Conference on Electrical Engineering/Electronics, computer, Telecommunications and Information technology, ECTI-CON 2023

作者： Tangjitjetsada, Maleeya Thianthong, Tawan Rakluea, Chawalit Loedhammacakra, Wisit Rakluea, Paitoon Tangthong, Nipont Mahatthanajatuphat, Chatree Chudpooti, Nonchanutt Rajamangala University of Technology Suvarnabhumi Faculty of Engineering and Architecture Department of Electronics and Telecommunication Engineering Nonthaburi Thailand Siam Airport Ground Services Co. Ltd Bangkok Thailand Rajamangala University of Technology Thanyaburi Faculty of Engineering Department of Electronics and Telecommunication Engineering Pathum Thani Thailand King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering Bangkok Thailand King Mongkut's University of Technology North Bangkok Faculty of Applied Science Department of Industrial Physics and Medical Instrumentation Bangkok Thailand

ISBN: (纸本)9798350310467

Since Thailand has now completely stepped into an aged society there are more than 20% of the population aged 60 years and over. There was also an increase in those who had problems with their balance. One of the main difficulties for these people is walking on their own. This paper presents an automatic walking aid for people with balance or walking problems. A specially designed automatic walking aid can be adjusted to six levels of height. It has an anti-collision warning system at a distance of up to 40 centimeters and displays GPS coordinates via SMS when falling. The experimental results of the prototype automatic walking aid showed that the walking aid could work as designed and could help people with balance problems walk more comfortably. © 2023 IEEE.

关键词： Walking aids

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STEAM for all: New Computational Thinking Curricula in Spanish Formal Secondary Education 2021

STEAM for all: New Computational Thinking Curricula in Spani...

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10th International Conference on Digital and Interactive Arts

作者： Rocio Garcia-Robles Santiago Fernández-Cabaleiro Department of Computer Architecture and Technology ASTERISM Research Group University of Seville Spain

ISBN: (纸本)9781450384209

In this article, the authors introduce the new educational curricula for Computing and Robotics in Andalusia [1], that will be offered as an optional subject for more than three hundred thousand students during 2021/2022 academic year and so *** curriculum offers young students, aged 12-15 years old, with the opportunity to gain a better understanding on how our digital world works, as well as, developing a set of skills known as computational thinking. This term refers to a way of understanding and solving problems, in any discipline, with the help of computers.ç

关键词： Computational thinking Educational programming Robotics STEAM-STEAM-STEAM+A

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A draft drawing structure tool for improve 3D modeling process in student

A draft drawing structure tool for improve 3D modeling proce...

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International ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications Engineering (ECTI-NCON)

作者： Jirawat Sookkaew Rachen Sukmuang Pheeraphon Changjaikla Department of Computer graphic and Multimedia School of Information and Communication Technology University of Phayao Phayao Thailand Department of Visual Communication Design School of of Architecture Kasem Bundit University Bangkok Thailand

In this research, the concept of applying the student’s original learning based on the course or skills related to the use of hand drawing and sketching was applied by creating a 3D structure drawing and dividing it into 2 groups between Non-Draft Groups and Draft Groups Both groups created 3D models and assessed the structures. Upon examination, it was found that the structural drawing group produced 3D models with higher 3D structural evaluation scores than the other group. To show that the use of the sketch helps the 3D structure to be more complete.

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Edge Computing in Smart Cities: Enhancing Real-Time Data Processing 2

Edge Computing in Smart Cities: Enhancing Real-Time Data Pro...

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2nd International Conference on Advances in Computation, Communication and Information technology, ICAICCIT 2024

作者： Rajakumari, S. Natarajan, C. Alone, Vinod N. Senthilkumar, P. Gayathri, R. John, Godwin J. Department of Mathematics R.M.D. Engineering College Chennai India Department of CSE P. S. R Engineering College Tamilnadu Sivakasi India Computer Engineering Department VPPCOE &VA Sion Maharashtra Mumbai India School of Architecture Koneru Lakshmaiah Education Foundation Vaddeswaram AP Guntur India Department of ECE Rajalakshmi Engineering College Tamilnadu Chennai India Department of Mechanical Engineering Rajalakshmi Institute of Technology Tamil Nadu India

ISBN: (纸本)9798331541217

One of the most crucial issues that smart cities have to keep addressing as they grow is urban mobility improvement. Maximizing the efficiency of transportation, so lowering congestion, and so optimizing traffic flow can help to solve the growing urbanization and increasing vehicle numbers. This research aims to develop and implement a deep learning method based on DenseNet in order to reach the target of raising the effectiveness of urban traffic management. The unique selling proposition that distinguishes this sector from others is the introduction of modern technologies into a sector that has always depended on conventional methods. The main goal of the work was to apply DenseNet architecture to analyze traffic patterns. Considering the two other strategies, the proposed option has a lot of possibilities. From evaluation criteria-which comprised recall, precision, and F1-score, the proposed solution outperformed the approaches regarded to be state-of- the-art. © 2024 IEEE.

关键词： Deep Learning DenseNet Smart Cities Traffic Management

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Vulnerability Assessment of Urban Road Network in Face of Ride-Hailing Malicious Dispatch Attack: A Case Study of Nanjing

SSRN

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SSRN 2023年

作者： Zhao, Na Tian, Yongshang Lu, Yuwen Zhai, Guofang School of Architecture and Urban Planning Nanjing University 210093 China Department of Computer Science and Technology Nanjing University 210023 China

As a typical ICT-based transportation infrastructure in smart cities, ride-sharing platforms significantly enhance the efficiency of urban public transportation. However, they face severe cybersecurity risks. Cities like Moscow have experienced incidents where hackers infiltrated ride-sharing platforms to maliciously dispatch vehicles, leading to extensive traffic congestion. Existing literature has paid much attention to road network vulnerability against natural disasters. Yet, less focus has been put on disturbances due to such cyber attacks. In this study, we assess the vulnerability of the downtown road network in Nanjing during the morning peak hours when subjected to ride-hailing malicious dispatch attacks. We begin by adopting the perspective of attackers, leveraging relevant theories from graph theory to devise an optimized malicious vehicle dispatch scheme under the real-time road conditions. Subsequently, we conduct simulated attacks against the target network in five major commuting directions. Results show that this attack can significantly decrease the road traffic capacity in some critical directions with just a dispatch of tens of vehicles. Additionally, there is a noticeable disparity in vulnerability across different directions. In response, we further identify the primary factors contributing to these variations, which aims to enhance the resilience of urban road network in the information age. © 2023, The Authors. All rights reserved.

关键词： Traffic congestion

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Inspiring Creativity: A Comparative Study of Hands-On Artifact Interaction and 3D Art Viewing 10

Inspiring Creativity: A Comparative Study of Hands-On Artifa...

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10th International Conference on Digital Arts, Media and technology and 8th ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications Engineering, ECTI DAMT and NCON 2025

作者： Sookkaew, Jirawat Saephoo, Pipatpong Changjaikla, Pheeraphon University of Phayao School of Information and Communication Technology Department of Computer Graphic and Multimedia Thailand University of Phayao School of Information and Communication Technology Department of Digital Business Thailand Kasem Bundit University School of of Architecture Department of Visual Communication Design Bangkok Thailand

ISBN: (纸本)9798331543273

The use of 3D technology in creative processes not only facilitates the creation of complex and intricate works but also provides opportunities for creators to experiment and develop unique and engaging concepts. Additionally, multimedia and 3D technology enhance the diversity and interest of the audience's experience. This study focuses on comparing the impact of using 3D models versus viewing ancient artifacts in traditional formats on enhancing creativity among students in different groups. Descriptive data analysis revealed that both groups had equal mean outputs (7.14 pieces per person), but the group using 3D models (Group 2) showed greater consistency in their work, with lower variance (5.14) and standard deviation (2.27) compared to the group using traditional visuals (Group 1), which had higher variance (27.24) and standard deviation (5.22).The findings suggest that implementing 3D technology in education goes beyond preserving historical information - it serves as a crucial tool for stimulating creativity and fostering innovation. This technology enables the development of immersive learning environments that can adapt to individual learning styles while promoting collaborative and cross-disciplinary approaches to education. © 2025 IEEE.

关键词： 3D modeling

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Inspiring Creativity: A Comparative Study of Hands-On Artifact Interaction and 3D Art Viewing

Inspiring Creativity: A Comparative Study of Hands-On Artifa...

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International ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications Engineering (ECTI-NCON)

作者： Jirawat Sookkaew Pipatpong Saephoo Pheeraphon Changjaikla Department of Computer Graphic and Multimedia School of Information and Communication Technology University of Phayao Thailand Department of Digital Business School of Information and Communication Technology University of Phayao Thailand Department of Visual Communication Design School of of Architecture Kasem Bundit University Bangkok Thailand

ISBN: (数字)9798331543273

ISBN: (纸本)9798331543280

关键词： Training Solid modeling Technological innovation Visualization Three-dimensional displays Art Education Problem-solving Creativity Standards

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