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CapsNet-FR: Capsule Networks for Improved Recognition of Facial Features

computers, Materials & Continua 2024年第5期79卷 2169-2186页

作者： Mahmood Ul Haq Muhammad Athar Javed Sethi Najib Ben Aoun Ala Saleh Alluhaidan Sadique Ahmad Zahid farid Department of Computer System Engineering University of Engineering&TechnologyPeshawar25000Pakistan College of Computer Science and Information Technology Al-Baha UniversityAlaqiq65779-7738Saudi Arabia REGIM-Lab:Research Groups in Intelligent Machines National School of Engineers of Sfax(ENIS)University of SfaxSfax3038Tunisia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia EIAS:Data Science and Blockchain Laboratory College of Computer and Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Computer Sciences Bahria University Karachi CampusKarachi541004Pakistan Department of Electrical Engineering Abasyn UniversityPeshawar25000Pakistan

Face recognition (FR) technology has numerous applications in artificial intelligence including biometrics, security,authentication, law enforcement, and surveillance. Deep learning (DL) models, notably convolutional neuralnetworks (CNNs), have shown promising results in the field of FR. However CNNs are easily fooled since theydo not encode position and orientation correlations between features. Hinton et al. envisioned Capsule Networksas a more robust design capable of retaining pose information and spatial correlations to recognize objects morelike the brain does. Lower-level capsules hold 8-dimensional vectors of attributes like position, hue, texture, andso on, which are routed to higher-level capsules via a new routing by agreement algorithm. This provides capsulenetworks with viewpoint invariance, which has previously evaded CNNs. This research presents a FR model basedon capsule networks that was tested using the LFW dataset, COMSATS face dataset, and own acquired photos usingcameras measuring 128 × 128 pixels, 40 × 40 pixels, and 30 × 30 pixels. The trained model outperforms state-ofthe-art algorithms, achieving 95.82% test accuracy and performing well on unseen faces that have been blurred orrotated. Additionally, the suggested model outperformed the recently released approaches on the COMSATS facedataset, achieving a high accuracy of 92.47%. Based on the results of this research as well as previous results, capsulenetworks perform better than deeper CNNs on unobserved altered data because of their special equivarianceproperties.

关键词： CapsNet face recognition artificial intelligence

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A human-sensitive frequency band vibration isolator for heavy-duty truck seats

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Applied Mathematics and Mechanics(English Edition) 2024年第10期45卷 1733-1748页

作者： Qingqing LIU Shenlong WANG Ge YAN Hu DING Haihua WANG Qiang SHI Xiaohong DING Huijie YU School of Mechanical Engineering University of Shanghai for Science and TechnologyShanghai 200093China State Key Laboratory of Mechanical System and Vibration School of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai 200240China Shanghai Key Laboratory of Mechanics in Energy Engineering Shanghai Frontier Science Center of MechnoinformaticsShanghai Institute of Applied Mathematics and MechanicsSchool of Mechanics and Engineering ScienceShanghai UniversityShanghai 200072China State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle EngineeringHunan UniversityChangsha 410082China Yanfeng Adient Seating Co. Ltd.Shanghai 201315China College of Mechanical and Electrical Engineering Jiaxing Nanhu UniversityJiaxing 314001Zhejiang ProvinceChina

In this study,a human-sensitive frequency band vibration isolator(HFBVI)with quasi-zero stiffness(QZS)characteristics for heavy-duty truck seats is designed to improve the comfort of heavy-duty truck drivers on uneven ***,the analytical expressions for the force and displacement of the HFBVI are derived with the Lagrange equation and d'Alembert's principle,and are validated through the prototype restoring force ***,the harmonic balance method(HBM)is used to obtain the dynamic responses under harmonic excitation,and further the influence of pre-stretching on the dynamic characteristics and transmissibility is ***,the experimental prototype of the HFBVI is fabricated,and vibration experiments are conducted under harmonic excitation to verify the vibration isolation performance(VIP)of the proposed vibration *** experimental results indicate that the HFBVI can effectively suppress the frequency band(4-8 Hz)to which the human body is sensitive to vertical *** addition,under real random road spectrum excitation,the HFBVI can achieve low-frequency vibration isolation close to 2 Hz,providing new prospects for ensuring the health of heavy-duty truck drivers.

关键词： human-sensitive frequency band quasi-zero stiffness(QZS) heavy-duty truck seat real random road spectrum low-frequency vibration isolation

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Sustainable Smart Road: A Unified Cost Estimation Model for Renewable-Powered Smart Roads 4

Sustainable Smart Road: A Unified Cost Estimation Model for ...

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4th IEEE International Conference on electrical, computer, and Energy Technologies, ICECET 2024

作者： Colombo, Cristian Giovanni Longo, Michela Nocera, Leonardo Ota, Ryosuke Zaninelli, Dario Politecnico di Milano Department of Energy Milan Italy Politecnico di Milano Milan Italy Tokyo Metropolitan University Faculty of Systems Design Department of Electrical Engineering and Computer Science Tokyo Japan

ISBN: (纸本)9798350395914

With new stringent policies affecting the transport and generation sectors, new technologies have emerged to drive the electric and technological transition. One of these is the smart road, a highly sensorised system to enable the integration of new vehicles and safety technologies. In this paper, the implementation of a smart road is simulated, first from an energy point of view and then from an economic point of view, by identifying the power demand of components and their cost. Next, the energetic core of the smart road is implemented. The energy core consists of a PV plant capable of powering the infrastructure. In this paper a simulation to test the proposed methodology is implemented. In the case study, a 280.05 kW smart road is powered by an optimally dimensioned PV plant. The production guaranteed by the 283.8 kWp plant will be 389.49 MW h/year and requires 57232. Furthermore, the 234.57 x20AC investment for the plant will represent less than 10% of the total investment, highlighting how renewable integration can be an economic sustainable purpose. Finally, another method to return the investment as quickly as possible will be proposed. © 2024 IEEE.

关键词： PV' Renewable Integration Road Infrastructure Smart Road

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Evaluation of IT Governance with BAI Domain at Senior High School Using Cobit 5 8

Evaluation of IT Governance with BAI Domain at Senior High S...

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8th International Conference on Information Management and Technology, ICIMTech 2023

作者： Prabowo, Yulius Denny Fernando, Erick Gate, Jullend Binus Online Learning Bina Nusantara University Computer Science Department Jakarta11480 Indonesia Universitas Multimedia Nusantara Faculty of Engineering and Informatics Department of Information System Tangerang Indonesia Institut Teknologi Dan Bisnis Kalbis Faculty of Computer Science and Design Department of Information System Jakarta Indonesia

ISBN: (纸本)9798350326093

This study's objective is to evaluate the system's level of maturity by adopting the COBIT Framework 5. The COBIT Framework is one of the ISACA-issued frameworks that defines the concept of information technology governance. The BAI (Build, Acquire, and Implement) domain is the subject of this investigation. The BAI domain is one of the COBIT 5 Framework domains responsible for program and project management, description of needs, identification of solutions, building change availability and capacity, change acceptance and transition, knowledge, assets, and configuration. This study employs qualitative methods to perform literature reviews and question-and-answer sessions, and then collects quantitative analytical data through the formulation of statements or inquiries. There were 5 respondents who responded to the statement, and they implemented the system. The BAI domain of the CBT Examination system in Jakarta's Senior High School XYZ has been calculated and determined to be at level 4, indicating that the system is functioning appropriately. There are subdomains with a lower maturity level in BAI01, BAI02, BAI03, BAI04, BAI06, BAI07, and BAI08, specifically at a rate between 3.8 and 3.96. Additionally, BAI05, BAI09, and BAI10 contain subdomains with a higher level of maturity, with a value range of 4.07 to 4.15. All BAI subdomains culminate at level 4, the system's maturity level, with a value of 3.93. Level 4 indicates that the level of development for Managed and Measurable is fairly good. It can also provide recommendations for improvements, such as paying attention to project management methods before beginning implementation, being able to estimate the time required for the implementation process, and paying attention to the role of trained stakeholders. © 2023 IEEE.

关键词： Project management

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Optical Satellite Networks

Optical Satellite Networks

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2023 Optical Fiber Communications Conference and Exhibition, OFC 2023

作者： Chan, Vincent W.S. Massachusetts Institute of Technology Research Laboratory of Electronics Steve Schwarzman College of Computing Ai and Decision System Sector Department of Electrical Engineering and Computer Science United States

We will explore the architecture of optical satellite networks at 100G-1Tbps. The challenge is to architect the system and the network protocols with large bandwidth-delay products and the presence of atmospheric turb... 详细信息

ISBN: (纸本)9781957171180

关键词： Atmospheric turbulence

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Real Time Flower Identification by Artificial Intelligence 4

Real Time Flower Identification by Artificial Intelligence

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4th International Conference on Advances in electrical, Computing, Communication and Sustainable Technologies, ICAECT 2024

作者： Rahman, Moshiur Joy, Taushik Ahmed Akter, Samia Sattar, Abdus Daffodil International University Department of Management Information System Daffodil Smart City Dhaka Bangladesh North South University Department of Electrical and Computer Engineering Bashundhara Dhaka1229 Bangladesh Daffodil International University Department of Computer Science and Engineering Daffodil Smart City Dhaka Bangladesh

ISBN: (纸本)9798350343670

In the realm of flower-rich Bangladesh, the presence of these blossoms enriches our everyday experiences, whether encountered during leisurely strolls, along railway tracks, or within our gardens. However, the beauty of these flowers often remains unexplored due to our limited knowledge about their names and attributes. To address this, a project was initiated to close this gap and acquaint people with these unfamiliar yet frequently encountered blooms. Our endeavor involves an innovative mobile application that employs real-time camera recognition to identify flowers, powered by neural networks, particularly the Tensorflow-based image classifier on the Android platform. Machine learning's expansive applications in computer science have propelled our interest in this arena, specifically focusing on Convolutional Neural Networks (CNN) and Tensorflow for image classification. While our current application marks the inception, aspiration to further enrich and refine our system for the future. Our ultimate aim is to share the benefits of our work, enabling individuals to gain profound insights into the enchanting floral world that envelops them daily. © 2024 IEEE.

关键词： Artificial Intelligence Data science Deep Learning Machine Learning Monitoring Smartphone Sensors

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Smart agriculture irrigation system using integrated system using IOT and ML 3

Smart agriculture irrigation system using integrated system ...

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3rd International Conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2023

作者： Singh, Arjun Shashikala, H.K. Pandey, Arvind Kumar Kumar, T. Ganesh Rajasekaran, Suresh Babu Kamble, Sachin K Dev Bhoomi Uttarakhand University Department of Electronics and Electrical Engineering Uttarakhand Dehradun India Department of Computer Science and Engineering Bangalore India Arka Jain University Department of Computer Science Jharkhand Jamshedpur India Galgotias University Department of Computer Science and Engineering Uttar Pradesh Greater Noida India Terna Engineering College Design Department Navi Mumbai India

ISBN: (纸本)9798350399264

In recent years, precision agriculture has attracted a lot of interest as a result of the increasing global population's need for food and water. Therefore, farmers will require To accommodate this demand, there must be enough water and land suitable for agriculture. Because of the restricted Because both resources are available, farmers require a solution that alters how they conduct themselves. The key to effective irrigation is a method to produce higher, better, and more lucrative yield without as much resources. a number of machine learning-based In order to use more water, irrigation models have been proposed. efficiently. Due of these models' low capacity for learning, Unpredictable climates are not ideal for *** technology, which incorporates feedback, maintains its performance better in any region's weather for any length of time. DL forecasts the cubic content of soil moisture for the coming day, the duration of the watering, and the geographic heterogeneity of water required to irrigated the farms using a LTSM. The simulation findings show that DLiSA uses water more wisely than cutting-edge technologies. models in the region used for experimental farming. © 2023 IEEE.

关键词： Irrigation

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Development and modeling of advanced systems Na2SnBr6-based perovskite solar cells: a comprehensive study on electron transport layers

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Optics Express 2025年第10期33卷 21152-21172页

作者： Roy, Dipta Reza, M.D. Selim Ghosh, Avijit Roy, Anup Kumar Chowdhury, Bivash Ranjan Aktarujjaman, M.D. Alrafai, H.A. Hassan, Abeer A. Department of Electrical and Computer Engineering California State University at Northridge NorthridgeCA91330 United States Department of Electrical and Electronic Engineering Begum Rokeya University Rangpur5400 Bangladesh Phillip M. Drayer Department of Electrical and Computer Engineering Lamar University BeaumontTX77710 United States Department of Management Information System International American University Los AngelesCA90010 United States Department of Information Technology Management Webster University St. LouisMO63119 United States Department of Chemistry Faculty of Science King Khalid University PO Box 9004 Abha61413 Saudi Arabia

This study simulates a n-i-p planar heterojunction for Na2SnBr6-based perovskite solar cells (PSCs), with Na2SnBr6 as the absorber layer, fluorine-doped tin oxide (FTO) as the substrate, and In2S3, IGZO, and SnS2 as electron transport layers (ETLs). Gold (Au) is used as the back contact. Na2SnBr6 was chosen for its low cost, non-toxicity, tunable band gap, excellent electrical properties, and stability. The SCAPS-1D simulator was employed to model the solar cell performance under AM 1.5 G light irradiation, focusing on factors like doping concentration, layer thickness, defect density, and interface defects across three device configurations: Device I (Au/Na2SnBr6/ In2S3/FTO/Al), Device II (Au/ Na2SnBr6/IGZO/FTO/Al), and Device III (Au/ Na2SnBr6/SnS2/FTO/Al). Device III achieved the highest PCE of 31.35%, FF of 85.95%, VOC of 0.7926 V, and JSC of 46.01 mA/cm22, making it a promising candidate for high-efficiency, lead-free perovskite solar cells. Devices I and II showed lower efficiencies of 27.47% and 30.98%, respectively. The study also analyzed quantum efficiency (QE), carrier dynamics, and recombination rates, highlighting the potential of Device III in advancing Na2SnBr6-based hybrid perovskite solar technologies for future solar energy applications. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Semiconductor doping

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Collaborative Fall Detection and Response Using Wi-Fi Sensing and Mobile Companion Robot

Collaborative Fall Detection and Response Using Wi-Fi Sensin...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Chen, Yunwang Kang, Yaozhong Zhao, Ziqi Hong, Yue Meng, Lingxiao Meng, Max Q.-H. Southern University of Science and Technology Shenzhen Key Laboratory of Robotics Perception and Intelligence Shenzhen518055 China SUSTech Department of Electrical and Electronic Engineering Shenzhen China School of System Design and Intelligent Manufacturing SUSTech Shenzhen China

ISBN: (纸本)9781665481090

This paper presents a collaborative fall detection and response system integrating Wi-Fi sensing with robotic assistance. The proposed system leverages channel state information (CSI) disruptions caused by movements to detect falls in non-line-of-sight (NLOS) scenarios, offering non-intrusive monitoring. Besides, a companion robot is utilized to provide assistance capabilities to navigate and respond to incidents autonomously, improving efficiency in providing assistance in various environments. The experimental results demonstrate the effectiveness of the proposed system in detecting falls and responding effectively. © 2024 IEEE.

关键词： Fall detection

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Real-Time Object Detection with IOT Using a Smart Cart 18

Real-Time Object Detection with IOT Using a Smart Cart

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18th International Conference on Ubiquitous Information Management and Communication, IMCOM 2024

作者： Omer, Muhammad Ali, Sardar Jaffar Raza, Syed Muhammad Le, Duc-Tai Choo, Hyunseung College of Computing and Informatics Sungkyunkwan University Suwon Korea Republic of Sungkyunkwan University Dept. of Computer Science and Engineering Suwon Korea Republic of Sungkyunkwan University Dept. of AI System Engineering Suwon Korea Republic of Sungkyunkwan University Dept. of Electrical and Computer Engineering Suwon Korea Republic of

ISBN: (纸本)9798350331011

With Industry 4.0's technological advancements, the convenience and affordability of Artificial Intelligence (AI) and IoT have increased. However, customers still face long waiting times in payment queues during the smart shopping experience. Current solutions rely on expensive sensor-based RFIDs or simple barcodes, making them impractical and limited in scalability. This paper proposes an economically smart solution with two cameras on NVIDIA JETSON NANO for realtime object monitoring and automated shopping. Communication between modules is facilitated by TCP/IP and HTTP protocols. By utilizing the YOLO v7, real-time monitoring is achieved. This innovative approach revolutionizes the customer experience by providing a seamless interface and time-saving features. Additionally, it offers potential integration with e-commerce businesses and payment gateways, further enhancing the overall customer and vendor experience. © 2024 IEEE.

关键词： Graphical user interfaces

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