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Research and Design of Intelligent Anti-epidemic Disinfection robot Based on ROS 3

Research and Design of Intelligent Anti-epidemic Disinfectio...

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2023 3rd international conference on Artificial intelligence and Industrial technology applications, AIITA 2023

作者： Wang, Siyu Zhonghuan Information College Tianjin University of Technology School of Automation Engineering Tianjin300380 China

In the context of the global epidemic of COVID-19, in order to solve the problems of heavy disinfection and epidemic prevention tasks in densely populated indoor public places and a low degree of automation and intelligence, a smart anti-epidemic disinfection robot solution that integrates multiple disinfection methods is proposed. The solution is designed and developed based on the open-source robot operating system (ROS) with digital intelligent remote disinfection function, micron-level atomization disinfection function, and multi-angle ultraviolet light disinfection function, providing a full range of high-efficiency disinfection and disinfection for the air environment bacteria protection. It has the functions of autonomous positioning and navigation, intelligent path planning, and real-time perception of environmental parameters. It is also equipped with a remote monitoring platform to monitor the status of the disinfection robot itself and task execution in real time to ensure stable operation and to issue disinfection tasks at regular intervals or in certain areas. The practice has proved that this solution can effectively solve the problem of the high labor cost of manual disinfecting so that one person can quickly complete the whole-area disinfecting work, greatly improving work efficiency, and it has good application value and is worth promoting. © Published under licence by IOP Publishing Ltd.

关键词： Efficiency

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The Future of Retail: Harnessing 5G Beyond Networks for Immersive Augmented Reality Shopping Environments 3

The Future of Retail: Harnessing 5G Beyond Networks for Imme...

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3rd international conference on Artificial intelligence For Internet of Things, AIIoT 2024

作者： Mandala, Venkatesh Akepati, Akash Reddy Rajkumar, Sujatha Shameli, R. Vellore Institute of Technology Vellore School of Electronics Engineering Vellore India

ISBN: (纸本)9798350372120

Augmented Reality is a technology that combines the physical world with virtual space to improve how people see the world. The system employs AR interfaces integrated into mobile applications allowing users to visualize interactive overlays of product information and aisle directions. This AR development will make smart shopping and reduce the time consumed for shopping. Utilizing sensor technologies, the AR system helps the user navigate through the supermarket environment and guides users through the most efficient routes to locate desired products. The model begins with the creation of a realistic 3D model representing the interior layout of a typical supermarket. Utilizing Unity's robust capabilities, a seamless navigation system is implemented through the incorporation of NavMesh technology, ensuring efficient pathfinding for users. Augmented Reality is then integrated using Vuforia, enabling real-time recognition of products through the smartphone camera over the 5G Beyond (i.e. 6G) communication Networks with the ultimate ultra-low Latency and high connectivity and throughput would greatly enhance the user-layer quality of experience in this field. This paper explores how 5G Beyond interacts with AR to influence the rapidly expanding world. The outcomes of this research include the successful development of an indoor navigation system that seamlessly integrates AR technology with Unity and Vuforia, providing an immersive and user-friendly experience for supermarket shoppers. Further enhancements may include additional features such as personalized recommendations, real-time promotions, and interactive shopping lists, further enhancing the utility and appeal of the system. © 2024 IEEE.

关键词： Augmented reality

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Positioning of a Surgical Parallel robot Using Artificial intelligence 33rd

Positioning of a Surgical Parallel Robot Using Artificial In...

引用

33rd international conference on robotics in Alpe-Adria-Danube Region (RAAD)

作者： Covaciu, Florin Tucan, Paul Rus, Gabriela Pisla, Adrian Zima, Ionut Gherman, Bogdan Tech Univ Cluj Napoca CESTER Cluj Napoca 400114 Romania

ISBN: (纸本)9783031592591;9783031592577;9783031592560

Virtual reality (VR) can serve as a revolutionary technology in surgery, where robotic systems are used to assist residents in training and accumulating knowledge without risk. In this article, a simulator was developed using virtual reality technology designed for a surgical robotic system used in the single-incision laparoscopic surgery (SILS) procedure. For this system, artificial intelligence is employed for the automatic positioning of the mobile platform of the parallel robot above the SILS port. On the mobile platform, there are two active instruments and a laparoscopic camera, which can be easily inserted through the SILS port by means of two controllers and voice commands.

关键词： Parallel robot Surgery Virtual reality Simulator Artificial intelligence YOLOv8

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Enhanced Diagnostic Performance in Ophthalmology: A Comparative Assessment of VGG19 and EfficientNetB3 3

Enhanced Diagnostic Performance in Ophthalmology: A Comparat...

引用

3rd international conference for Advancement in technology, ICONAT 2024

作者： Singh, Preet Hasija, Taniya Ramkumar, Kr Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350354171

Global eye diseases, such as diabetic retinopathy, glaucoma, age-related macular degeneration, and cataracts, pose significant public health concerns. Therefore, it is crucial to facilitate early detection and treatment. Recent developments in Deep Learning (DL) and medical imaging permit accurate and quick identification of diseases, which has transformed ophthalmology. This study uses VGG19 architecture and EfficientNetB3 to explore fundus images-based automated classification of eye disorders. Combining two DL methods are VGG19, a deep neural network renowned for depth and accuracy in visual classification these methods followed the EfficientNetB3 transfer learning model, well-known for performance in image recognition applications. After training and evaluation using a 5,000 patient record Ocular Disease intelligence recognition (ODIR) dataset including colour fundus images and diagnostic keywords, VGG19 displayed a 94% accuracy;EfficientNetB3 showed a higher accuracy of 96%, so implying its improved performance in disease categorisation. Over several patient demographics and imaging modalities, EfficientNetB3 beats VGG19 in accuracy and loss by generalising. Most crucially for early intervention and better patient outcomes in clinical environments, our comparative study validates EfficientNetB3's accuracy and durability in automated disease detection. © 2024 IEEE.

关键词： Ophthalmology

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ESSCIRC 2022 - IEEE 48th European Solid State Circuits conference, Proceedings

ESSCIRC 2022 - IEEE 48th European Solid State Circuits Confe...

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3rd international conference on Artificial intelligence and Signal Processing, AISP 2023

ISBN: (纸本)9798350320749

The proceedings contain 128 papers. The topics discussed include: brain tumor segmentation using deep learning techniques: comparative analysis;imperceptibility and robustness study in different transform domain for copyright protection in digital image watermarking in hybrid SVD-domain;optimized detection of continuous gravitational-wave signals using convolutional neural network;automated method for calibration findings of auto slide scanner using automated digital microscopy;implementation of perovskite solar cells using GPVDM;mangoes taste detection system using deep learning;bird species recognition using deep learning;optimization of power and delay in VLSI circuits using hybrid flip-flop circuit;ellipse shaped graphene metamaterial absorber for terahertz applications;design and development of a microgripper for use in pipeline inspection robot;and screening of citrus diseases using deep learning embedders and machine learning techniques.

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Research of Automatic Engine Assembly System Based on Industrial robot 3

Research of Automatic Engine Assembly System Based on Indust...

引用

3rd IEEE international conference on Information technology, Big Data and Artificial intelligence, ICIBA 2023

作者： Feng, Zhixin Dang, Ligang Wang, Xuelei Beijing Polytechnic Beijing100176 China Beijing Innovation Center for Mobility Intelligent Co. Ltd Beijing100176 China

ISBN: (纸本)9781665490788

Green, intelligent and customized are opportunities and challenges for the development and transformation of high-end equipment manufacturing industry. It has been applied in the field of intelligent assembly and inspection. As the core part of automobile, the assembly line of engine has realized the basic automation, but most of them are assisted by human. There are some problems such as low assembly precision, low efficiency, high labor cost and labor intensity. According to this, this paper independently developed the engine automatic assembly workstation based on industrial robot. The workstation combined with the engine oil pan gluing and material grasping and handling AGV car, realized the automatic assembly of engine crankshaft connecting rod and valve mechanism, automatic coating detection of oil pan, automatic delivery of workpiece, etc., which improved the intelligent and customized ability of engine assembly line. It can meet the assembly requirements of different types of engines, and has the significance of application and promotion. © 2023 IEEE.

关键词： Industrial research

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Advancements in Neurological Health: Predicting Brain Age with Machine Learning 3

Advancements in Neurological Health: Predicting Brain Age wi...

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3rd international conference on Artificial intelligence For Internet of Things, AIIoT 2024

作者： Malarkhodi, S. Mahalakshmi, N. Avvai Deepa, M. K S Rangasamy College of Technology Department of Electronics and Communication Engineering Tiruchengode India

ISBN: (纸本)9798350372120

This paper delves into the forefront of neurological health assessment through the utilization of machine learning algorithms to predict brain age. By leveraging magnetic resonance imaging (MRI) data, these algorithms estimate the biological age of an individual's brain, surpassing traditional chronological age assessments and offering profound insights into neurological health. The comprehensive methodology discussed encompasses data collection, preprocessing, model training, validation, and practical applications. Notable preprocessing steps, including normalization and skull stripping, are highlighted alongside various feature extraction techniques, notably the efficacy of convolutional neural networks (CNNs) in discerning relevant features from brain images. A range of machine learning models, spanning linear regression to deep learning approaches, are evaluated for their predictive capacity. Validation and testing phases are emphasized for assessing model accuracy, with mean absolute error (MAE) serving as a pivotal performance metric. The paper elucidates the clinical and research applications of brain age prediction, particularly its role in early neurodegenerative disease detection, disease progression monitoring, and contributing to our understanding of the aging process. Furthermore, it addresses prevailing challenges such as data diversity and ethical considerations, while envisioning future directions including the integration of multimodal data for enhanced predictive accuracy. This research underscores the transformative potential of machine learning in reshaping our approach to neurological health assessment, positioning it as an indispensable tool in clinical diagnostics and neuroscience research. © 2024 IEEE.

关键词： Feature extraction

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A Critical Study of ICT Oriented Innovations based on Artificial intelligence (AI) applications towards BFSI Sector 3

A Critical Study of ICT Oriented Innovations based on Artifi...

引用

3rd IEEE international conference on ICT in Business Industry and Government, ICTBIG 2023

作者： Talreja, Pooja Shrivastava, Amit Mishra, Ajay Gupta, Neha Indore India

ISBN: (纸本)9798350343274

The Financial Service and Insurers (BFSI) sector refers to firms who provide a wide variety of accounting products and assistance across the world. This work adds to the technical innovation of services in processing administration, a topic that has yet to be settled in the available research. AI is an interdisciplinary field of study that has distinguished itself for the technical dynamism it brings to an organization products and processes. Artificial intelligence (AI) is one of the developing technologies driving the continued expansion of ICT-enabled applications. This study investigates the application of the use of AI and machine learning (ML), respectively, in the field of banking, as well as the policy ramifications. It grants a nontechnical foundation to understand the growth and possibilities of AI/ML systems. Artificial intelligence, or the emulation of human brain in machines, is gaining popularity and will play an important role in the new financial century. The current study aims to examine consumers' perspectives on the widespread implementation of intelligent systems with artificial intelligence in Asian countries. The banking industry also prioritizes novel AI technology to boost customer service and overall growth by making greater revenue. © 2023 IEEE.

关键词： Machine learning

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Revolutionizing Industries Through IoT, Blockchain and AI Integration 3

Revolutionizing Industries Through IoT, Blockchain and AI In...

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3rd international conference on Pervasive Computing and Social Networking, ICPCSN 2023

作者： Suji Priya, J. Aruna, S. Usha Ranee, L. Tasneem Firdhosh, A. Malavikka, S. Monika, S. Sona College of Technology Department of Computer Applications Salem India

ISBN: (纸本)9798350322842

The integration of the Artificial intelligence (AI), Blockchain technology, and Internet of Things (IoT) has the potential to revolutionize a wide range of industries and applications. The Internet of Things (IoT) is a unified network of physical gadgets, automobiles, smart apartments, and other items that are built-in with sensors, software, and network connectivity to gather and share information. By integrating IoT with Blockchain technology and AI, it is possible to create decentralized, secure, and intelligent systems that can automate various processes and decision-making tasks. For example, in the supply chain industry, the integration of IoT, Blockchain, and AI can enable tracking real-time of goods, reduce the risk of fraud, and improve efficiency. In the healthcare sector, the integration of these technologies can enable the secure exchange of medical data, assist in the diagnosis and treatment of patients, and optimize drug development. In addition, the integration of IoT, Blockchain, and AI can also enable the creation of smart cities, where various urban systems such as transportation, energy, and waste management can be optimized through the use of intelligent and decentralized technologies. Overall, the integration of IoT, Blockchain, and AI has the potential to transform a wide range of industries and software's, creating new opportunities for innovation and improving the efficiency and security of systems. © 2023 IEEE.

关键词： Internet of things

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3-Phase 7-Level Diode Clamped Inverter for Standalone Application 3

3-Phase 7-Level Diode Clamped Inverter for Standalone Applic...

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3rd international conference on Artificial intelligence and Smart Energy, ICAIS 2023

作者： Chenchireddy, Kalagotla Kumar, V. Shankar, N. Shiva Vamshi, P. Tulasi, S. Radhika, K. Teegala Krishna Reddy Engineering College Departmet of Eee India Megha Institute of Engineering and Technology for Women Departmet of Eee India

ISBN: (纸本)9781665462167

This article presents a three-phase, seven-level diode clamped multilevel inverter method. This circuit can be used for applications requiring medium to low industrial power. The three operational modes for this three-phase, seven-level, diode-clamped MLI structure are presented in this study. It consists of three phases each phase consists of the upper and lower leg each leg consists of 12 switches. This circuit operation is presented and simulated with PWM control techniques and output waveforms are obtained. By using this circuit design the THD is better. © 2023 IEEE.

关键词： Electric inverters

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