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A Review of Usage of Tesseract OCR Engine with Vernacular Indian Languages 5th

A Review of Usage of Tesseract OCR Engine with Vernacular In...

引用

5th EAI international conference on Cognitive Computing and Cyber physical Systems, IC4S 2024

作者： Joshi, Kartik Arolkar, Harshal Faculty of Computer Applications and Information Technology GLS University Ahmedabad India

ISBN: (纸本)9783031770807

Optical Character Recognition, or OCR, is a tool that could apprehend textual content in photographs or scanned documents and convert it into system-readable textual content. To recognize and extract information from snap shots, optical character popularity (OCR) software program uses exclusive codes and codes to research the form, sample and grouping of characters. In 2005, Hewlett-Packard (HP) created the open supply software program Tesseract OCR (Optical person reputation). Its reason is to extract text from images and convert it into gadget-readable text. Tesseract can manage a couple of fonts, sizes and languages, making it clean to apply for OCR. In this newsletter, the authors provide an in-intensity evaluate of the usage of the Tesseract OCR engine in Indian languages. © ICST Institute for computer Sciences, Social Informatics and Telecommunications engineering 2025.

关键词： Optical character recognition

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Security and Performance Challenges, Solutions, and Future of Cloud-Based IoT Systems: A Brief Review 3rd

Security and Performance Challenges, Solutions, and Future o...

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3rd international conference on Smart technologies and Innovation Management, MTYMEX 2024

作者： Albaijan, Mohammed Alyahya, Faleh Alsubaie, Marwan Bashar, Abul Computer Engineering Department Prince Mohammed bin Fahd University Al-Khobar Saudi Arabia

ISBN: (纸本)9783031649561

Integrating the Internet of Things (IoT) with cloud computing has presented a groundbreaking worldview, rethinking communications and data sharing among the connected devices. This chapter thoroughly investigates cloud-based IoT, including its architecture, advantages, challenges, and future possibilities. Cloud technologies enhance IoT capabilities, such as, data collection, storage, processing, and analysis. As the current information technology trends mature and their popularity increases in terms of providing novel applications, there is an observance of a deluge of connected gadgets, and hence cloud computing becomes a strategic partner in fulfilling the diverse requirements of efficient IoT data management. In general, the research focuses on performing a systematic review of the extant literature with regard to security and performance considerations for cloud-based IoT systems. More, specifically, it delves into the critical aspects of data security, system performance optimization, and interoperability among existing platforms and novel applications. The solutions to the issues identified are proposed, so as to address the limitations of cloud-based IoT and provide insights on how to improve the state-of-the-art solutions to cater for the future diverse needs of the ever-evolving cloud-based IoT landscape. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Cloud platforms

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Eye-Gaze Controlled Virtual Keyboard Using Blink Detection for Accessible Hands-Free Communication

Eye-Gaze Controlled Virtual Keyboard Using Blink Detection f...

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2025 IEEE international conference on Computational, Communication and Information Technology, ICCCIT 2025

作者： Varshini, B. Guru Manimegalai, A. Abirami, S. Dimple Kalaiselvi, S. National Engineering College Tuticorin District Tamil Nadu Kovilpatti India CSE National Engineering College Tuticorin District Tamil Nadu Kovilpatti India

ISBN: (纸本)9798331512965

The inability to interact with traditional input devices like keyboards poses significant challenges for individuals with motor impairments. Existing assistive technologies often rely on cumbersome and expensive hardware solutions, which are not accessible to everyone. This paper addresses the problem by presenting an affordable and accessible gaze-controlled virtual keyboard that uses only a standard webcam. The project utilizes computer vision algorithms, specifically dlib's face detection and shape prediction, to detect facial landmarks and calculate the Eye Aspect Ratio (EAR), which enables accurate eye-blink detection. The system is designed to dynamically highlight letter groups on a virtual keyboard, allowing users to select keys through a series of eye blinks. The keyboard switches between letter groups and individual letters, facilitating text entry without requiring physical input. The proposed solution demonstrates how computer vision techniques can be used to enhance accessibility and independence for users with severe motor disabilities by providing a practical and user-friendly interface. © 2025 IEEE.

关键词： Assistive technology

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Recognition of Viewer’s Gazing Interest with YOLOv7 and SVM technologies for Smart Advertising Displays 16th

Recognition of Viewer’s Gazing Interest with YOLOv7 and SVM...

引用

16th international conference on Genetic and Evolutionary Computing, ICGEC 2024

作者： Cheng, Chun-Chung Fan, Chih-Peng Department of Electrical Engineering National Chung Hsing University Taichung Taiwan

ISBN: (纸本)9789819615308

With the rapid advancements in artificial intelligence and deep learning, the importance of gaze tracking technology in various applications has increasingly grown, especially in human-computer interaction and user experience research. Traditional gaze tracking methods primarily rely on tracking the user's eyes;however, these methods may not provide accurate and stable results under certain conditions. Therefore, this study aims to design and implement a novel gaze estimation technique that integrates hand and facial features to provide more accurate and stable gaze estimation results. Moreover, this technique is ultimately deployed on an embedded platform to realize a system that allows users to select desired advertisement content without physical contact. In this work, the YOLOv7 model is applied to detect and locate the hand and facial features. After difference and angle calculations with the detected features, the horizontal and vertical SVM-based classifiers will be well trained. By jointly training with the horizontal and vertical features furtherly, the single SVM classifier is applied to predict the user's gaze and interest area on an upright advertising display. By experiments on four-grid advertisements on display, the recognition accuracy with the proposed design is up to 94%. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Marketing

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E-Cattie: A Versatile Climbing Quadrupedal Robot 11

E-Cattie: A Versatile Climbing Quadrupedal Robot

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11th international conference on Mechatronics and Robotics engineering, ICMRE 2025

作者： Papadakis, Emmanouil Sigalas, Markos Vangos, Michail Trahanias, Panos Heraklion Greece University of Crete Department of Computer Science Heraklion Greece

ISBN: (纸本)9798331509293

This paper introduces e-Cattie, a novel quadrupedal robotic system equipped for climbing and traversing surfaces of various inclinations and roughness, from planar terrains to vertical walls and even upside-down surfaces. Designed with autonomy and versatility at its core, e-Cattie is inspired by the agility and climbing prowess of cats, embodying dynamic posture and gait adaptability to meet diverse operational needs while maintaining significant payload capacity. The system integrates three key components: a highly agile quadrupedal robotic module, a vacuum system for effective surface attachment, and an innovative suction cup module for secure and adaptable surface adhesion. Experimental evaluations demonstrate e-Cattie's capabilities in walking and climbing across different inclinations, highlighting its potential in maintenance, surveillance, and search-and-rescue applications. The experiments further assess the robot's efficiency with respect to the holding force across all orientations, showcasing the practical implications of its design for real-world applications. e-Cattie's introduction marks a significant step towards developing autonomous robotic systems capable of navigating challenging terrains, paving the way for future advancements in robotic climbing and traversal technologies. © 2025 IEEE.

关键词： Multipurpose robots

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The Smart and Secured Communication Using Applied Cryptography Algorithms 5th

The Smart and Secured Communication Using Applied Cryptograp...

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5th international conference on Data Science, Machine Learning and applications, ICDSMLA 2023

作者： Agarwal, Trapty Jebakumari, S. Adlin Hemlata Ayesha, Amreen Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Department of Computer Science and Information Technology Jain University Karnataka Bangalore India Department of Computer Science & Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Manduwala Dehradun Navgaon India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India

ISBN: (纸本)9789819780426

This paper describes the implementation of a at ease communication device the usage of an implemented cryptography algorithm. The gadget is designed to provide comfy statistics and voice communique between endpoints using techniques consisting of encryption and digital signature. The applied cryptography set of rules includes primary components, the symmetric and the uneven algorithms. The symmetric algorithms, along with AES and DES, are used for statistics encryption, even as the uneven algorithms, which include RSA and DSA, are used for virtual signature. The proposed gadget additionally focuses on security of physical places to defend the important thing exchange by means of the use of physical access control measures which include biometric identification. The system additionally employs advanced safety strategies together with message authentication codes and protection protocols like SSL/TLS. The device is examined for robustness and safety using real communique experiments. The results confirm that the proposed machine is cozy and green in supplying comfortable communication among endpoints. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Encryption algorithms

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Sustainable Architecture: Computational Modeling of Green Roofs Through BIM and Dynamo VPL Integration 11th

Sustainable Architecture: Computational Modeling of Green Ro...

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11th international conference of Ar.Tec.

作者： Cascone, Stefano Sangiorgio, Valentino Mediterranea Univ Reggio Calabria I-89124 Reggio Di Calabria Italy DAnnunzio Univ Chieti Pescara I-65127 Pescara Italy

ISBN: (纸本)9783031718694;9783031718670;9783031718663

This study explores the fusion of green building practices and Building Information Modeling (BIM), with a focus on green roofs. It highlights the construction industry's shift towards sustainability, emphasizing green roofs as a crucial sustainable technology. Using the DynamoVisual Programming Language in Autodesk Revit, the research automates the creation of parametric models to assess the thermal and structural properties of green roofs under varying moisture levels. Key findings indicate that the choice of substrate and drainage materials significantly impacts thermal resistance in dry conditions and stress the need to evaluate structural performance in both dry and saturated states. The research presents a methodological framework that includes material selection, integration of green roof components, and performance analysis. It examines various green roof materials, analyzing their thermal and physical properties in different moisture conditions. The study showcases how Dynamo in Revit can automate green roof analysis, enabling quick evaluations and informed design choices. This method supports modern eco-friendly design trends, improving building sustainability and performance. However, the research recognizes its limitations, such as a limited focus on specific green roof technologies and performance indicators, and its concentration on the design phase. Future research directions include exploring a broader range of green roof technologies, additional performance metrics, and expanding the scope to encompass construction and maintenance phases. Incorporating AI and machine learning, establishing standardized guidelines, and examining synergies with other sustainable strategies are also suggested. These advancements will enhance the integration of green buildings with BIM, furthering sustainable development in construction.

关键词： Eco-Friendly Building Design Lifecycle Analysis Autodesk Revit applications Thermal and Structural Performance Digital Automation in Construction

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Exploration of the generalization and hallucination in deep learning: a study based on imaging through scattering medium 17

Exploration of the generalization and hallucination in deep ...

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17th international conference on Photonics and Imaging in Biology and Medicine, PIBM 2024

作者： Liu, Honglin Zhang, Xuyu Xie, Gengchen Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai201800 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Science Beijing100049 China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China

ISBN: (数字)9781510688070

ISBN: (纸本)9781510688063

With fast developments of computational power and algorithms, deep learning has made breakthroughs and been applied in many fields. However, generalization remains to be a major challenge, and the limited generalization capability severely constrains applications of deep learning in practice. The hallucinations issue is another unresolved conundrum faced by deep learning and large models. By leveraging a physical model of imaging through scattering media, we studied the lack of generalization to datasets and system response functions in deep learning respectively, identified their causes, and proposed universal solutions. The research also provides an explanation for hallucinations. In general, it enhances the interpretability of deep learning from a physics-based perspective. It will pave a way for direct interaction between deep learning and the physical world, facilitating the transition of deep learning from a demo model to a practical tool. © 2025 SPIE.

关键词： Education and training Deep learning Image restoration Imaging systems Associative arrays Image quality Scattering Scattering media Artificial intelligence Light sources and illumination

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Comparative Analysis of Machine Learning Algorithms for Disease Prediction using Medical Datasets 3

Comparative Analysis of Machine Learning Algorithms for Dise...

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3rd international conference on Intelligent Data Communication technologies and Internet of Things, IDCIoT 2025

作者： Roopa, C. Latha, R.S. Dhavamani, M. Bommisrilekkhaa, G. Angel Shalini, P. Dhanyajothi, R. Department of Computer Science and Engineering Kongu Engineering College Tamilnadu Erode India Department of Artificial Intelligence Kongu Engineering College Tamilnadu Erode India Department of Mathematics Kongu Engineering College Tamilnadu Erode India

ISBN: (纸本)9798331527549

Application of machine learning in the analysis of medical data can be said to be one of the current transformations happening within the healthcare fraternity. This paper highlights several ways in which various machine learning techniques can be used for gaining valuable insight into disparate types of medical data, such as patient records or genetic information, toward further clinical decision-making with a view to better prediction of diseases or strategies related to personalized medicine. The study critically evaluated various algorithms by considering their performances, suitability with regard to certain medical datasets they would be set upon to analyze, and to interpret the performance, particularly within the supervised learning frameworks. It talks about methodologies through which feature selection can take place to make sure that there is effective model development. Consequential applications in early disease detection as well as the optimization of their treatments are further emphasized, representing great potential for massive improvements in their recovery outcomes. The results highlight how far reaching data-driven approaches can affect the future of healthcare. It is envisioned that, with the use of such methods, the paper foresees a paradigm shift in disease diagnosis and treatment for personalized medical care and improved health outcomes. © 2025 IEEE.

关键词： Adversarial machine learning

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A Cyber-physical Infrastructure for Smart Energy Buildings 1st

A Cyber-Physical Infrastructure for Smart Energy Buildings

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1st international Workshop on the Design, Verification, and Validation of IoT Systems, GRAAL4IoT 2024 and 1st international Workshop on IoT Standards, STAND4IoT 2024, held in conjunction with 7th IFIP WG 5.5 international Cross-Domain conference on Internet of Things, IFIPIoT 2024

作者： Couraud, Benoit Franquet, Erwin Quinard, Honorat Barre, Pierre-Jean Moura, Paulo Rozier, Yann Dechavanne, Franck Costini, Pierre El Youssfi, Azeddine Taha, Ahmad Norbu, Sonam Flynn, David Université Côte d’Azur IMREDD Nice France James Watt School of Engineering University of Glasgow Glasgow United Kingdom Université Côte d’Azur Polytech’Lab Nice France

ISBN: (纸本)9783031820649

The advancement of renewable energy and low carbon technologies, such as electric vehicles, necessitates that smart buildings adopt innovative energy use cases to become adaptive and responsive. Additionally, the proliferation of Internet of Things (IoT) devices introduces new applications for enhancing comfort, air quality, health, and energy consumption. These evolutions require Building Automation Systems (BAS) to manage new devices and implement novel applications, which are often beyond the capabilities of current BAS technologies. Consequently, this paper proposes a Cyber-physical Architecture that facilitates the integration of third-party IoT devices and the development of novel use cases. Specifically, the architecture supports the implementation of a Smart Energy Management System alongside standard BAS to optimize energy usage in smart buildings through IoT and artificial intelligence algorithms. The paper also presents a case study of the architecture’s implementation in a smart building in Nice, France, and discusses the advantages and disadvantages of the proposed cyber-physical architecture for smart energy buildings. © IFIP international Federation for Information Processing 2025.

关键词： Cyber-physical System Energy management system Smart buildings

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