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检索条件"任意字段=International Conference on Advances in Science, Engineering and Robotics Technology"

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Improving Accuracy of Diagnosis with AI/ML Algorithms in Smart Health Care 5th

Improving Accuracy of Diagnosis with AI/ML Algorithms in Sma...

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5th international conference on Data science, Machine Learning and Applications, ICDSMLA 2023

作者： Sahoo, Girija Shankar Chauhan, Aakriti Sikri, Alisha S, Adlin Jebakumari Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Department of Agri-Business Management Vivekananda Global University Jaipur India Noida Institute of Engineering and Technology Uttar Pradesh Greater Noida India Karnataka Bengaluru India

ISBN: (纸本)9789819780426

The potential for AI/ML algorithms to improve the accuracy of diagnosis in intelligent healthcare systems is the subject of this paper. AI/ML algorithms like gradient boosting models, convolution neural networks, and recurrent neural networks can learn from many data to classify, recognize, and predict certain concepts. With the advances in artificial intelligence/ML innovation, the exactness of findings has been significantly moved along. Artificial intelligence/ML calculations have empowered the advancement of brilliant medical care frameworks that are equipped for giving quicker and more precise judgments and results. Intelligent healthcare systems can reduce medical errors caused by human error and produce more accurate results by combining machine learning with human expertise. A case study of an intelligent diagnostics system for health care is presented alongside an examination of the various AI/ML algorithms in this paper. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Electronic health record

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Comparative Study of Popular Word Embeddings and Deep Learning Methods for Tweets Classification 5

Comparative Study of Popular Word Embeddings and Deep Learni...

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5th IEEE international conference on advances in Electronics, Computers and Communications, ICAECC 2023

作者： Sethumadhavan, Praneeth Alluru, Kavya School of Computer Science & Engineering Vellore Institute of Technology Chennai India

ISBN: (纸本)9798350305449

This study aims to find the best deep learning models and word embedding methods that can be used for the classification of tweets as positive or negative. Data was preprocessed and lemmatized and then tokenization of tweets was done to be made suitable for training. Four different word embedding methods Word2Vec, GloVe, FastText, and SpaCy were used as embedding layers for deep learning models. Six different neural networks, simple NN, CNN, LSTM, GRU, Bi-LSTM, and BiGRU, were trained and tested. Bi-LSTM along with Word2Vec word embedding layer produced the highest accuracy of 84.28%. © 2023 IEEE.

关键词： Embeddings

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OwlsEye: Real-Time Low-Light Video Instance Segmentation on Edge and Exploration of Fixed-Posit Quantization 38

OwlsEye: Real-Time Low-Light Video Instance Segmentation on ...

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38th international conference on VLSI Design, VLSID 2025

作者： Shah, Gaurav Goud, Abhinav Momin, Zaqi Mekie, Joycee Indian Institute of Technology Gandhinagar India

ISBN: (纸本)9798331522445

Video Instance Segmentation (VIS) in low light conditions presents a significant challenge when deployed on resource-constrained edge devices, especially in autonomous vehicles, surveillance, robotics, or similar applications. This paper presents OwlsEye, which, to the best of our knowledge, is the first hardware implementation for real-time Video Instance Segmentation under low-light settings using an off-the-shelf RGB camera. Implemented on the Intel Nezha Embedded platform, OwlsEye demonstrates an improvement in Frames Per Second (FPS) from 0.6 to 28 FPS using model weight quantization, brightness verification, and asynchronous FIFO Pipelining. This paper also presents the EQyTorch framework, an extension of Qtorch+ for fixed-posit numbers, used in weight quantization for the YOLOv8 architecture. We show that fixed-posit quantization achieves an improvement in latency and power utilization of 2.35×, 3.6×, and 9.02×, 87.91× compared to INT8 and FP32 for 65nm CMOS. Furthermore, this paper presents a synthetic DarkCOCO2017 validation dataset to test the OwlsEye segmentation performance in enhanced, original, and dark images. Our work highlights a novel real-time low-light VIS system and the potential of using Fixed-Posit quantization for edge AI applications. © 2025 IEEE.

关键词： Image segmentation

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Receiver-Based Data Communication for Wireless Sensor Networks 2

Receiver-Based Data Communication for Wireless Sensor Networ...

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2nd IEEE international conference on advances in Computing, Communication and Applied Informatics, ACCAI 2023

作者： Chitra Kiran, N. Parkash, Jai Cheerla, Sreevardhan Shanmugaraja, P. Manohara, M. Madan, Parul Alliance University Department of Electronics and Communication Engineering Karnataka Bangalore560068 India Gulzar Group of Institutes Department of Computer Science and Engineering Punjab Khanna141401 India Koneru Lakshmaiah Education Foundation Department of Electronics and Communications Engineering Andhra Pradesh Vaddeswaram522302 India Sona College of Technology Department of Information Technology Tamil Nadu Salem636005 India Mohan Babu University School of Engineering Andhra Pradesh Tirupati517102 India Graphic Era Deemed to Be University Department of Computer Science and Engineering Uttarakhand Dehradun248002 India

ISBN: (纸本)9798350315905

As the Web of Things (IoT) has created throughout recent years, unlicensed radio range has become more clogged with brilliant wireless gadgets that are utilized in an assortment of use spaces, prominently the 2.4 GHz ISM band. One of the easiest and most productive answers for energy-compelled networks is the wake-up receiver (WuRx). Rather than utilizing a conventional radio, this innovation empowers energy-independent on-request communication for persistent observing. One of the WSN methods that utilizes the most investment is directing. Consequently, planning an energy-effective steering procedure is fundamental. This exploration proposes Grouped WuRx based on Multicast wake-up (CWM), a progressive Wake-up Receiver-based directing convention that all the while streamlines energy use and time productivity for indoor conditions. In our proposed technique, bunches are made inside the organization. Estimation discoveries show that, in contrast with past directing conventions, our proposed arrangement has much better execution as far as conveyance delay and further developed energy effectiveness. © 2023 IEEE.

关键词： Wireless sensor networks

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Scarlett: Virtual Assistant & Browlett (Browser) 14

Scarlett: Virtual Assistant & Browlett (Browser)

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14th international conference on advances in Computing, Control, and Telecommunication Technologies, ACT 2023

作者： Dhanush, M. Sai Saritha, G. Sai, A. Virinchi Akarshana, M.N. Methodist College of Engineering and Technology/Computer Science and Engineering Hyderabad India

A personal voice assistant is the software that can perform task and provide different services to the individual as per the individual’s dictated commands. In this modern era, day to day life became smarter and interlinked with technology. We already know some voice assistance like google, Siri. etc. This project works on voice input and give output through voice and displays the text on the screen. The main goal of our voice assistance makes people smart and give computed results instantly. The voice assistance takes the voice input through our microphone (such as Bluetooth and wired microphone) and it converts our voice into computer understandable language gives the required solutions and answers which are asked by the user. This assistance connects with the world wide web to provide results that the user has questioned. Natural Language Processing algorithm helps computer machines to engage in communication using natural human language in many forms. To achieve this we are using modules like web browser, speech recognition, python speech-to-text, and Natural Language Processing (NLP) algorithm. © Grenze Scientific Society, 2023.

关键词： Python

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Gain Enhancement of Novel Microstrip Patch Antenna using Meandered Rectangular shape for Bio-Medical Applications 1

Gain Enhancement of Novel Microstrip Patch Antenna using Mea...

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1st international conference on advances in Electrical, Electronics and Computational Intelligence, ICAEECI 2023

作者： Gurusamy, Ravikumar Sengottaiyan, N. Sathesh, M. Parameswaran, S. Kalyanasundaram, P. Rajasekar, M. M. P. Nachimuthu M. Jaganathan Engineering College Department of ECE Tamil Nadu Erode India Alliance University Faculty of Science and Technology Alliance College of Engineering and Design Department of CSE Karnataka Anekal562106 India Vel Tech Rangarajan Dr. Sagunthala R and D Institute of Science and Technology Department of ECE Tamil Nadu Chennai600062 India KSR Institute for Engineering and Technology Department of BME Tamil Nadu Tiruchengode637215 India KSR Institute for Engineering and Technology Department of IT Tamil Nadu Tiruchengode637215 India Saveetha Institute for Mediacl and Technical Sciences SIMATS School of Engineering Department of CSE Chennai602105 India

ISBN: (纸本)9798350342796

Aim: This novel research aligns to build a Meandered monopole antenna with high gain in the frequency range of 3.0 GHz to 12.0 GHz. Materials and Methods: Group 1 is the gain and frequency of microstrip patch antenna (MPA) using Meandered rectangular monopole antenna is Group 1 with sample size (n = 26) having FR4 Epoxy substrate. The gain and frequency of the Group 2 is assigned to rectangular MPA with a sample size of 26. Results: The novel Meandered Rectangular monopole antenna has significantly higher gain of -5.45 dB to 40.35 dB than the rectangular patch antenna having gain of -4.16 dB to -8.66 dB. The innovative Meandered Rectangular monopole antenna's best frequency for highest gain had significance of roughly 0.0056 at 12.0 GHz. For rectangular shaped microstrip patch antenna, maximum gain was at the frequency of 3.0 GHz with significance of about 0.492. Conclusion: The innovative Meandered Rectangular monopole antenna gives higher augmentation of gain at 12.0 GHz range than rectangular patch antenna within the confines of this study. © 2023 IEEE.

关键词： Antenna Bio-Medical FR4 Epoxy Substrate Frequency Gain innovative Microstrip patch antenna Mobile Communication Novel Meandered Rectangular monopole antenna

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Revolutionizing STEM Education: BeSAR Augmented Reality Application Sparks Passion for science in Rural Primary Schools 4th

Revolutionizing STEM Education: BeSAR Augmented Reality Appl...

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4th international conference on advances in Computational science and engineering, ICACSE 2023

作者： Tanalol, Siti Hasnah Baharum, Aslina Tahir, Asni Saudi, Azali A. Wahab, Shaliza Hayati Saad, Nordin F. Michael, Jurry Center of Preparatory for Science and Technology UMS Sabah Kota Kinabalu Malaysia School of Engineering and Technology Sunway University Selangor Bandar Sunway Malaysia Faculty of Computing and Informatics UMS Sabah Kota Kinabalu Malaysia Faculty of Humanities Arts and Heritage UMS Sabah Kota Kinabalu Malaysia

ISBN: (纸本)9789819729760

In 2020, it was found that only 20% of the 2 million high school students majored in STEM (science, technology, engineering and Mathematics), compared to the national target of 40% of students. This requirement is important for the country to guarantee the sustainability of its development and progress. STEM education provides students with the critical skills needed to succeed in a rapidly changing and increasingly technology-dependent world. With this motivation, the idea was born to help increase the motivation and interest of primary school students in learning science and STEM by using augmented reality (AR) technology. This project has produced an Integrated science Learning Module and a mobile AR Application, BeSAR: Learning science through AR, to support STEM teaching and learning outside the classroom. The selected science Learning Modules are topics based on the elements found in the SK Eco-science Park Kundasang, namely Aquaponics, Biocompost, Water Cycle and Food Web. Using the developed BeSAR application allows students to experience a more interactive and interesting learning experience. The BeSAR mobile application was developed using the prototyping methodology. Using the Kansei assessment method, after the students used the BeSAR application, the findings showed that the students could accept the use of AR technology in learning and feel that STEM subjects, especially science, are something fun. The Kansei evaluation method is used to analyze the emotions or feelings of users towards the interface design of mobile applications. This study implies that the use of AR in science learning can be used as one of the ways to increase interest in science among rural students. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Students

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A New Self-cascoded Based Charge-pump for Efficient Electrical Stimulation 7

A New Self-cascoded Based Charge-pump for Efficient Electric...

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7th international conference on advances in Biomedical engineering, ICABME 2023

作者： Katebi, Mostafa Erfanian, Abbas Sawan, Mohamad Karami, Mohammad Azim Iran University of Science and Technology Iran CenBRAIN Neurotech Center of Excellence Westlake University China

ISBN: (纸本)9798350325850

We present in this paper a new 4-stage charge pump based on self-cascode structure. The circuit is designed and post-layout-simulated in 2.5/3.3V 90 nm CMOS technology. By performing this architecture, the ripple of the output and power consumption are reduced. Moreover, the circuit has low ripple output voltage when the rise and fall times increase. Using self-cascode structure decreases the effects of charge injection and clock feed through on the output voltage. The simulated output voltage of the proposed 4-stage charge pump with the load and pumping capacitors of 2pF is around 11.57V under an input voltage of 2.5V. The proposed structure improves the overall voltage gain. The gain of each stage and overall gain are 1.45 and 4.52, respectively. The circuit has a low ripple amplitude of 50 mV when the clock frequency is 5MHz. Since the new charge pump has a stable output and low current consumption, thus it is suitable for low-power and biomedical applications in CMOS processes. © 2023 IEEE.

关键词： CMOS integrated circuits

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HFBLGERC: Design of an Efficient Hybrid Fusion of BiLSTM, BiGRU, with ES-RNN for Responsive Resource Scheduling 15

HFBLGERC: Design of an Efficient Hybrid Fusion of BiLSTM, Bi...

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15th international conference on advances in Computing, Control, and Telecommunication Technologies, ACT 2024

作者： Kazi, Aihtesham Chaudhari, Dinesh Bajaj Institute of Technology Department of Computer Engineering Wardha India Jawaharlal Darda Institute of Engineering & Technology Computer Science & Engineering Yavatmal India

ISBN: (纸本)9798331300579

The efficient scheduling of tasks on virtual machines (VMs) is paramount in cloud computing environments. The complexity and dynamism of today's applications require a more insightful and adaptive approach to task allocation to ensure optimal resource utilization and service delivery. Traditional scheduling approaches often fall short when it comes to considering the multi-dimensional attributes of tasks and VMs, such as makespan, deadline, memory, and bandwidth requirements. These methodologies lack the ability to dynamically adapt to the ever-evolving requirements of tasks and the capacities of VMs, leading to suboptimal performance and resource wastage. In this paper, we present a novel approach that fuses BiLSTM & BiGRU with Exponential Smoothing Recurrent Neural Network (ES-RNN) to create a more robust and adaptive task scheduling mechanism under real-time scenarios. This model holistically assesses task capacity based on its makespan, deadline, memory, and bandwidth requirements. Similarly, VM capacity is evaluated based on its RAM, MIPS, bandwidth, and the number of processing elements. The fusion of these advanced neural architectures provides a deeper understanding of the task-VM mapping, enabling a more intelligent and efficient scheduling decision. Our approach demonstrates a marked improvement over traditional techniques, with tangible benefits such as reduced makespan by 4.9% and improved VM computation efficiency by 3.5%. The practical implications of our methodology are profound. By integrating our model into real-world cloud environments, organizations can expect to see an enhanced deadline hit ratio by 1.5%, ensuring that critical tasks meet their time-sensitive objectives. Moreover, the decision-making process becomes significantly more agile, resulting in a decision delay reduction of 4.5%, thereby promoting more responsive and efficient cloud computing operations. This work paves the way for a new era of intelligent cloud resource management, opt

关键词： Decision making

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Unlocking the Secrets of Gesture-based Communication: A Feature Extraction Technique for Accurate Recognition of Human Activities in Socially Assistive Scenarios 23

Unlocking the Secrets of Gesture-based Communication: A Feat...

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6th international conference on advances in robotics, AIR 2023

作者： Saravanan, Mukil Dsouza, Darren Alton Chowdhury, Abhra Roy Indian Institute of Science Bangalore India

ISBN: (纸本)9781450399807

Gesture-based communication is a crucial aspect of assistive technology, especially for the elderly and disabled who intend to communicate some source of information. The ability to accurately detect and recognize human activities is important for an assistive task. This work aims at the need for feature extraction to accurately predict human activities in socially assistive scenarios. A total of 20 classes of day-to-day human activities were recognized using Mediapipe as well as OpenPose and simultaneously compared to collect key points from the dataset. Spatio-temporal feature extraction was performed, recovering the missing key points that were originally undetected by the human pose estimation model. In order to classify the activities a Long Short-Term Memory (LSTM) based classifier is utilized to classify the sequential information of an activity. An accuracy score of 58% was obtained on experimental validation which indicates the essence of the feature extraction technique in presence of undetected key points in skeletal-based human pose estimation. © 2023 ACM.

关键词： Human robot interaction

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