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9th IEEE International Conference on Power and Energy, PECon 2022

作者： Buensuceso, Cris Paulo L. Manlapaz, Juan Glicerio C. Reyes, Dalisay M. Pena, Robert Alfie S. Parocha, Raymark C. Macabebe, Erees Queen B. School of Science and Engineering Ateneo de Manila University Ateneo Energy Research Lab Department of Electronics Computer and Communications Engineering Quezon City1108 Philippines

ISBN: (数字)9781665409902

ISBN: (纸本)9781665409902

The main purpose of an Energy Management System (EMS) is to determine the hourly energy dispatch of the microgrid and the main utility grid. An optimization algorithm is needed in order to minimize the cost of operating the distributed generations in a microgrid. This paper is focused on developing an EMS model that can determine the hourly optimal operating strategies of each distributed generation in the microgrid system with regard to energy cost minimization, system constraints, and better utilization of renewable energy resources through daily load demand. The proposed system utilized Particle Swarm Optimization. Its effectiveness was demonstrated using a full-day load demand profile of a grid -connected microgrid as the case study. © 2022 IEEE.

关键词： Energy management systems

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Leveraging Machine Learning for Accurate IoT Device Identification in Dynamic Wireless Contexts

arXiv

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arXiv 2024年

作者： Tushir, Bhagyashri Ramanna, Vikram K. Liu, Yuhong Dezfouli, Behnam Internet of Things Research Lab Department of Computer Science and Engineering Santa Clara University United States

Identifying IoT devices is crucial for network monitoring, security enforcement, and inventory tracking. However, most existing identification methods rely on deep packet inspection, which raises privacy concerns and adds computational complexity. More importantly, existing works overlook the impact of wireless channel dynamics on the accuracy of layer-2 features, thereby limiting their effectiveness in real-world scenarios. In this work, we define and use the latency of specific probe-response packet exchanges, referred to as"device latency," as the main feature for device identification. Additionally, we reveal the critical impact of wireless channel dynamics on the accuracy of device identification based on device latency. Specifically, this work introduces"accumulation score" as a novel approach to capturing fine-grained channel dynamics and their impact on device latency when training machine learning models. We implement the proposed methods and measure the accuracy and overhead of device identification in real-world scenarios. The results confirm that by incorporating the accumulation score for balanced data collection and training machine learning algorithms, we achieve an F1 score of over 97% for device identification, even amidst wireless channel dynamics, a significant improvement over the 75% F1 score achieved by disregarding the impact of channel dynamics on data collection and device latency. Copyright © 2024, The Authors. All rights reserved.

关键词： Data acquisition

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Lightweight Design and Property Analysis of Humanoid Robot Thigh Integrated Structure with Appearance 16th

Lightweight Design and Property Analysis of Humanoid Robot T...

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16th International Conference on Intelligent Robotics and Applications, ICIRA 2023

作者： Nie, Daming Gu, Jason Zhang, Yu Jiang, Hongjian Research Center for Intelligent Robotics Zhejiang Lab Hangzhou310058 China Department of Electrical and Computer Engineering Dalhousie University HalifaxB3M 1A2 Canada

ISBN: (纸本)9789819964949

The lightweight and high stiffness leg structure of humanoid robots can effectively reduce rotational inertia and energy consumption, improving the robot's ability to quickly switch motion states. Based on the lightweight requirements of robots, this article proposes an innovative design method for humanoid robot legs based on the "structure-appearance" integration of light-alloy additive manufacturing technology. The load-bearing part of the leg structure is designed as a "shell + density-variable lattice" configuration, and the appearance part is set as a thin shell with equal thickness. The load-bearing part and the appearance one are combined together, resulting in a 20% weight reduction compared to traditional legs. The leg structure sample was processed using metal additive manufacturing method, and tested by a set of personalized fixture. When applying 200 Nm loading under pure torsion conditions, the local strain did not exceed 0.0175%, indicating that it meets the usage requirements. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Anthropomorphic robots

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Controlled Out-band Device to Device Communication in Cellular Networks Using Backup Channel in Television White Space 18

Controlled Out-band Device to Device Communication in Cellul...

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18th IEEE International Conference on Emerging Technologies, ICET 2023

作者： Rahman, Saifur Shah, Syed Luqman Mursal, Salim Nasar Faraj Abbas, Ziaul Haq Usman, Muhammad Irfan, Muhammad Muhammad, Fazal College of Engineering Nairan University Electrical Engineering Department Najran61441 Saudi Arabia Gik Institute of Engineering Sciences and Technology TeleCoN Research Lab Topi23640 Pakistan Gik Institute of Engineering Sciences and Technology Faculty of Electrical Engineering Toni 23640 Pakistan University of Engineering and Technology Department of Electrical Engineering Mardan23200 Pakistan University of Engineering and Technology Department of Computer Science Mardan23200 Pakistan

ISBN: (纸本)9798350328172

In this article, we address the problem of spectrum scarcity in cellular networks (CNs). We propose a backup channel (BuC) for cellular users (CUs) who are in the same macro-cell under the control of a single macro base station (eNB). This BuC operates in the television white space and is detected by the CUs through a cognitive radio energy detection channel sensing technique with a certain probability of success. When the regular channels with the cellular eNB are all occupied, the CUs within the same coverage area of the macro eNB can utilize the sensed BuC to establish a controlled out-band device-to-device link for communication. The BuC bypasses the eNB and reduces the burden on the core of the CN. This leads to improvements in the capacity of the cellular eNB. In the proposed system model, each CU and eNB is equipped with two antennas for communication in two separate bands, i.e., cellular and TV bands. Through simulations, we have observed significant reductions in the blocking probability and probability of call delays. © 2023 IEEE.

关键词： Cognitive radio

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Roles of Technology for Risk Communication and Community Engagement in Bangladesh during COVID-19 Pandemic

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ACM Journal on Computing and Sustainable Societies 2024年第2期2卷 1-22页

作者： Anik Sinha Nova Ahmed Sabbir Ahmed Ifti Azad Abeer Rahat Jahangir Rony Anik Saha Syeda Shabnam Khan Shajnush Amir Shabana Khan Design Inclusion Access Lab Department of Electrical and Computer Engineering North South University Dhaka Bangladesh Indian Research Academy Delhi India

The COVID-19 pandemic required clear communication of risk and community engagement. A gap is noted in scholarly studies portraying strong community engagement for risk handling, particularly in resource-constrained regions in the HCI community. This study covers community engagement and its use of technology during COVID-19 through a qualitative study of Bangladesh. The study looks at marginalized communities who have struggled through the pandemic yet handled the difficult time through their effective problem solving, working together as a community when there was not enough support from authorities. It is a qualitative study during the pandemic consisting of nine communities, including 58 participants (N = 58, Female = 33, Male = 23, Transgender = 2) across four divisions of Bangladesh covering urban, semi-urban, and rural regions. The study uncovers the challenges and close community structures. It also shows the enhanced and increased positive role of technology during the pandemic while also pointing out that a few communities were digitally disconnected and could benefit from digital connectivity in the future through increased awareness and support.

关键词： Risk communication and community engagement marginalized community indigenous community resource constraint technology Covid-19 pandemic

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Truncation Based Reduction of Interconnected Hybrid Power System

Truncation Based Reduction of Interconnected Hybrid Power Sy...

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International Conference on Power Electronic Drives

作者： V. P. Sharma Akhilesh Mathur V. P. Singh Krishna Murari Mrityunjay Kumar Mishra Ameena Saad Al-Sumaiti Department of Electrical Engineering Malaviya National Institute of Technology Jaipur Rajasthan India Electrical Engineering and Computer Science Department The University of Toledo Toledo Ohio USA EECS Department Smart OR Lab APEC Khalifa University Abu Dhabi UAE

ISBN: (数字)9798350372472

ISBN: (纸本)9798350372489

The objective of this paper is implementation of model reduction technique (MRT) to simplify hybrid power system. In this technique, both denominator and numerator polynomials of lower order system are determined by direct truncation technique. By applying direct truncation technique for MRT on hybrid power system, thirteen order transfer function is decreased to sixth, fifth, fourth, third, and second orders. These simplified models are very useful and preserve property of parameters with accuracy. The results of simplified models indicate the effectiveness of the method. The demonstrated diagrams like step, impulse, Bode, and Nyquist plots for higher-order model and its lower order reduced models are shown. The stability, steady state value and other features are similar to original higher-order system.

关键词： Analytical models Transfer functions Power system stability Reduced order systems Hybrid power systems Polynomials Stability analysis Power electronics Data models Steady-state

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Feasibility Study of a Hybrid Renewable Energy System for a Remote Rural Community Using HOMER Pro 9

Feasibility Study of a Hybrid Renewable Energy System for a ...

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9th IEEE International Conference on Power and Energy, PECon 2022

作者： Yap, Christine Monique F. Bismark, Kent Marc Kobe C. Caballa, Lorenzo Gabriel C. Pena, Robert Alfie S. Parocha, Raymark C. Macabebe, Erees Queen B. School of Science and Engineering Ateneo de Manila University Ateneo Energy Research Lab Department of Electronics Computer and Communications Engineering Quezon City1108 Philippines

ISBN: (数字)9781665409902

ISBN: (纸本)9781665409902

As the Philippines strives towards energy security, there remains the concern for reliable and stable electricity in rural areas due to the lack of access to the main grid and the high cost of expansion. Standalone energy systems in rural areas can increase energy security from local renewable sources such as solar, wind, and water resources. This study modeled and designed a hybrid renewable energy system (HRES) in a remote rural community using HOMER Pro simulations. The goal is to assess the feasibility of integrating solar and wind energy resources with the existing micro-hydro power plant to provide 24/7 electricity in the community. A techno-economic assessment and an implementation strategy of the HRES are presented in this paper. Results show that the optimal HRES configuration has an additional cost of energy of PHP 3.98 per kW and includes 84-kW solar PV panels, 84 batteries, and a 27-kW converter. These can be integrated into the existing 10-kW micro-hydro power system. Together with the hardware technical specifications and system configuration, this contribution provides cost calculations, and has identified approaches to add to the overall system's long-term sustainability. © 2022 IEEE.

关键词： Distributed power generation

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ViT-PMN: A Vision Transformer Approach for Persian Numeral Recognition

ViT-PMN: A Vision Transformer Approach for Persian Numeral R...

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International Symposium on Artificial Intelligence and Signal Processing (AISP)

作者： Pegah Ardehkhani Pouya Ardehkhani Haniyeh Hooshmand Department of Industrial Engineering Sharif University of Technology Tehran Iran Deep Learning Research Lab Department of Computer Engineering Faculty of Engineering University of Tehran Tehran Iran Department of Computer Engineering Faculty of Engineering University of Tehran Tehran Iran

This study focuses on the task of Persian numeral classification within image data, employing the Vision Transformer (ViT) architecture to predict numerals akin to the MNIST dataset, but adapted to the Persian script. Our approach yielded a notable validation accuracy of 0.9920, particularly noteworthy when employing a patch size of 4. Notably, the research introduces an innovative visualization aspect, showcasing the first multi-head attention linear map and its counterpart, the last one. The visualization of these attention maps provides a unique insight into the model’s internal processes and highlights its proficiency in capturing intricate patterns within Persian numeral images. This work contributes to the evolving landscape of character recognition, specifically addressing the challenges posed by the Persian script, and underscores the efficacy of employing the ViT architecture for such intricate tasks. The achieved validation accuracy and the detailed visualization of attention maps mark notable milestones in the realm of Persian numeral classification, showcasing the potential of Vision Transformers in the context of script-specific optical character recognition.

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Resource Management approaches to Internet of Vehicles

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Multimedia Tools and Applications 2023年第30期82卷 46811-46844页

作者： Hosseinzadeh, Mehdi Abbasi, Shirin Rahmani, Amir Masoud Pattern Recognition and Machine Learning Lab Gachon University 1342 Seongnamdaero Sujeonggu Seongnam13120 Korea Republic of Computer Engineering Department Science and Research Branch Islamic Azad University Tehran Iran Future Technology Research Center National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliou64002 Taiwan

The Internet of Vehicles (IoV) has become a significant issue in designing smart cities. Many applications and services are provided in IoV for various purposes. They need the resources for the computation and data collection. One of the open issues in IoV is resource management because of resource limitation, resource heterogeneity, and dynamic networks. To our knowledge, no systematic and thorough research in resource management methodologies was conducted in IoV, despite the critical nature of resource management challenges. This paper analyzes the recently published studies on resource management in IoV. Our analysis shows that resource allocation has the most utilization rate of resource management approaches at 30%. The most critical parameter in resource allocation is cost, which includes energy, time, price, and processing capacity. The analytical reports show those cost parameters have the most evaluation in the approaches by 19%. Furthermore, we propose a taxonomy for resource management in IoV and extract challenges and open issues in this field. It can be a start point to suggest new methods for resource management in IoV. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

关键词： Resource allocation

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Novel Approach to Image Similarity Estimation and Object Matching: Leveraging ViT Architecture and Euclidean Distance Metric

Novel Approach to Image Similarity Estimation and Object Mat...

引用

International Symposium on Artificial Intelligence and Signal Processing (AISP)

作者： Pegah Ardehkhani Pouya Ardehkhani Haniyeh Hooshmand Department of Industrial Engineering Sharif University of Technology Tehran Iran Department of Computer Engineering Deep Learning Research Lab Faculty of Engineering University of Tehran Tehran Iran Department of Computer Engineering Faculty of Engineering University of Tehran Tehran Iran

In addressing the challenge of image similarity estimation on the MNIST dataset, our research drives from conventional Siamese network methodologies by incorporating Vision Transformer (ViT) architecture. Departing from the standard MNIST dataset, we introduced a novel paired dataset tailored to enhance the capabilities of similarity estimation. The innovation lies in the utilization of ViT as the core foundation for extracting features, followed by the application of Euclidean distance metrics on the dual input. This departure from the traditional approach not only broadens the scope of image similarity assessment but also enhances the model’s discriminative power. Notably, the model attains a commendable test accuracy of 97.14% with a patch size of 7, underscoring the efficacy of our proposed methodology. This work it not only adds to the changing scenery of the image similarity estimation while also emphasizing the importance of leveraging non-conventional architectures to achieve enhanced performance in this domain.

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