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DeFy: P2P Crypto Lending 14

DeFy: P2P Crypto Lending

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14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

作者： Thalakottur, Joel Ray, Ben Abraham Victor, Alex Vyas, Aryan St. Francis Institute of Technology Dept. of Computer Engineering Mumbai India

ISBN: (纸本)9798350335095

The debt market is a substantial industry, estimated to be of significant value and projected to grow further in the near future. However, its size is marred by inefficiencies due to a lack of transparency and trust. To address these issues, DeFy, a blockchain-based system, offers loans to borrowers using their cryptocurrency assets as collateral. Leveraging smart contract technology and a decentralized network, DeFy creates a secure and transparent lending environment that operates globally without intermediaries. Empowering users with autonomy to select preferred lenders through a robust bidding system, DeFy enhances transparency in the borrowing process and empowers borrowers to make informed decisions. This user-driven lending approach provides an efficient and secure means for borrowers to access capital without liquidating their cryptocurrency holdings, while allowing lenders to earn interest on their capital through the lending process. © 2023 IEEE.

关键词： Blockchain

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Timing Mechanism for a Low-Cost, Single Use, Nucleic Acid Amplification Diagnostic Test

Timing Mechanism for a Low-Cost, Single Use, Nucleic Acid Am...

引用

2024 IEEE MIT Undergraduate Research technology Conference, URTC 2024

作者： Gordon, Savannah Jaffe, Ellie Garcia, Sebastian Kim, Suhan Kang, Ziliang Hanumara, Nevan C. Traverso, Giovanni Massachusetts Institute of Technology Dept. of Mechanical Engineering CambridgeMA02139 United States Massachusetts Institute of Technology Dept. of Electrical Engineering & Computer Science CambridgeMA02139 United States

ISBN: (纸本)9798331531003

Nucleic Acid Amplification Tests (NAATs) are used to diagnose infectious diseases such as tuberculosis (TB), SARS-CoV-2, and Human Papillomavirus (HPV). Conventional testing requires a bench-top system that limits its accessibility to potential patients. A self-contained, low-cost, single use NAAT would increase worldwide access to critical diagnostics. In support of an ongoing NAAT diagnostic project, we prototyped a timing mechanism to control the critical heating step that effects amplification. Herein we present a design consisting of a micro controller, a dual-channel Mosfet, and LEDs to visualize the operation. We selected electrical components that were low cost and tested the design for accuracy under two conditions: 1) the elevated temperatures required for the NAAT process and 2) a fluctuating power source, as would result from batteries suitable for a disposable device. We prototyped iteratively, ultimately demonstrating a design by creating a flex PCB approximately 3 cm by 2 cm with a cost less than 1 USD at scale. With this work, we aim to help further the development of more distributed and accessible diagnostic tests. © 2024 IEEE.

关键词： Microfluidics

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Nutrition Detection during Gestation Period using ML Algorithms 14

Nutrition Detection during Gestation Period using ML Algorit...

引用

14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023

作者： Dixit, Sunanda Sriram, Navayug Ashritha, S.B. Datta, Paidi Venkata Revanth Krishna, Bolem Jagadesh Dept. of Computer Science and Engineering BMS Institute of Technology and Management Bangalore India

The issue of low birth weight in infants is a significant concern in prenatal care, and it can have adverse effects on the newborn's health, sometimes leading to mortality. This problem contributes to high rates of child mortality worldwide. Artificial intelligence, particularly ML, offers potential solutions for predicting whether a fetus will be born small for its gestational age. Early detection of fetal developmental issues is critical, as timely intervention can increase gestation days and improve fetal weight at birth, reducing the risk of neonatal morbidity and mortality. This proposal aims to explore various machine learning methods for predicting small-for-gestational-age infants, emphasizing the importance of early detection and intervention to improve outcomes. © Grenze Scientific Society, 2023.

关键词： Machine learning

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NAARI- A Portable Sanitary Napkin Vending Machine 2

NAARI- A Portable Sanitary Napkin Vending Machine

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2nd International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2024

作者： Shetty, Chinmai Malathi, S.Y. Sarojadevi, H. Ranjan Kumar, H.S. Suchetha, G. Debnath, Sanjoy Kumar Dept of Information Science and Engineering Nitte India Kle Institute of Technology Dept of Computer Science and Engineering Hubballi India Nitte Meenakshi Institute of Technology Department of Computer Science and Engineering Bangalore India Shri Madhwa Vadiraja Institute of Technology and Management Bantakal Udupi India Sahyadri College of Engineering and Management-Affiliated to Vtu Department of Information Science and Engineering Mangalore India Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura India

ISBN: (纸本)9798350368413

In an effort to address the challenges of menstrual hygiene management in developing countries, a portable sanitary pad vending machine was developed. The vending machine is powered by an Arduino Uno microcontroller and a power source that ranges between 5 to 12 volts. It features an liquid-crystal display (LCD) keypad, token acceptor with an Radio Frequency Identification (RFID) scanner for validation, and a L298d motor driver that powers two DC Servo motors to turn the spring coil system that delivers the sanitary pads or disposable bags to the user. The entire system is enclosed in a metal box for protection against damage. The LCD keypad serves as an input and output device, displaying information about the vending machine and providing instructions for its use. With the token acceptor and RFID scanner, only authorized users are granted access to the vending machine. The scanner reads the user's RFID card, which has a unique identification number, to confirm their authorization. The portable vending machine is designed to be cost-effective and easy to use, providing an innovative solution to menstrual hygiene management challenges. It is also portable and can be relocated to various locations. Overall, the vending machine serves as a critical resource in promoting menstrual hygiene and addressing the challenges that come with it. Its use ensures that individuals have access to essential sanitary products that they need to live healthy lives. © 2024 IEEE.

关键词： Liquid crystal displays

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Lithium-Ion Battery Prognostic and Health Prediction Using Machine Learning Models 4

Lithium-Ion Battery Prognostic and Health Prediction Using M...

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

作者： Nsaka, Ozioma John Malki, Heidar A. University of Houston Dept. of Electrical & Computer Engineering HoustonTX United States University of Houston Dept. of Engineering Technology HoustonTX United States

ISBN: (纸本)9798350395914

Lithium-Ion battery prognostic and health prediction is an essential part of our modern world today. Reliable predictions of the current state and remaining useful life are critical to ensure safe operation of various industrial applications. There exists established and extensively researched battery state prediction models including the equivalent circuit and physics-based models. The emergence and advancements of machine learning algorithms, such as support vector machine (SVM), have led to a new era of data-driven models. In this research, we initially establish a baseline prediction using traditional machine learning algorithms and subsequently employ deep learning algorithms. Our analysis focuses on the battery's degradation pattern, specifically the predication of the State of Health (SOH) prediction and the Remaining Useful Life (RUL), aiming to predict the degradation from a specific threshold cycle to the EOL of the battery. In this study, our aim is to establish a comparable baseline for several machine learning-based prognostic predictions. To overcome this problem, we conduct several experiments on the same dataset using traditional algorithms and as well as neural network models. The classification accuracy aligns with several benchmarks established in the research literature. This research further underscores the viability of using Long Short-Term Memory (LSTM) models for RUL prediction, thereby advancing the role of data-driven models in prognostic and health management for critical engineering applications. © 2024 IEEE.

关键词： Electronic health record

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Secured Full-Duplex UAV-Aided Spectrum-Sharing Network Based on NOMA 20

Secured Full-Duplex UAV-Aided Spectrum-Sharing Network Based...

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20th IEEE International Conference on Mobile Ad Hoc and Smart Systems, MASS 2023

作者： Hasan, Moh Khalid Yu, Shucheng Song, Min Stevens Institute of Technology Dept. of Electrical and Computer Engineering Hoboken United States

ISBN: (纸本)9798350324334

Non-Orthogonal Multiple Access (NOMA) has emerged as an effective approach for improving spectral efficiency. In addition, Unmanned Aerial Vehicle (UAV)-aided communication offers rapid deployment and flexibility in challenging environments. Studying physical layer security in these scenarios is crucial to protect sensitive data from eavesdropping in spectrum-sharing networks. Nonetheless, there is limited research on comprehensive secrecy analysis in NOMA-based spectrum-sharing networks, particularly in the context of full-duplex UAV-assisted scenarios. In this paper, we investigate the secrecy performance of a UAV-aided and full-duplex NOMA-based spectrum-sharing network. The system primarily involves a primary source communicating with a full-duplex secondary source, which then simultaneously relays combined data from both sources to the primary and secondary receivers. Considering the susceptibility of both transmission stages to an external eavesdropper, the secondary source employs artificial jamming to enhance secrecy for both primary and secondary users. We analytically derive the ergodic secrecy achievable rate (ESAR) for the primary and secondary networks. The closed-form expressions are obtained by characterizing the channels' probabilistic nature while considering the Nakagami-m fading properties of each channel. Through our analysis and Monte Carlo simulations, we demonstrate that our proposed scheme achieves a positive ESAR and outperforms benchmark schemes relying on OMA. © 2023 IEEE.

关键词： Antennas

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Sarcasm Detection in Libyan Arabic Dialects Using Natural Language Processing Techniques 4

Sarcasm Detection in Libyan Arabic Dialects Using Natural La...

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4th IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and computer engineering, MI-STA 2024

作者： Alakrot, Azalden Dogman, Aboagela Ammer, Fathi Yefren College of Medical Technology Dept. of Information Technology Yefren Libya Libyan Academy for Postgraduate Studies Dept. of Electrical and Computer Engineering Al Zentan Libya University of Zawia Dept. of Computer Science Azawia Libya

ISBN: (纸本)9798350372632

Sarcasm is often used to convey the opposite of what is actually said (positive words, negative meaning). It is a type of humor that relies on the listener or reader to understand the intended meaning of the words. Sarcasm can be difficult to detect in written text, especially on social media platforms where people often use abbreviated language and emojis to convey their messages. The sarcasm detection can be a crucial role in refining Automated Sentiment (SA). In order to enhance the effectiveness of data-driven approaches for customer service and product development. Furthermore, the existing research on sarcasm detection in Arabic is limited. Also, there is a noticeable absence of studies in particular, the sarcasm detection in Libyan Arabic dialects. This study utilizes a data-set of 5082 collected from Facebook platform, labeled by team annotators experienced in the Libyan dialects as (sarcastic or non-sarcastic), and extracting some lexical and syntactic features which used to training Support Vector Machine (SVM) model. The results show commendable performance with an accuracy of 79.15%, precision of 79.3%, recall of 79.7%, and an F1 score of 79.5%. © 2024 IEEE.

关键词： Support vector machines

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An Innovative Approach for Delivering Food and Grocery 4

An Innovative Approach for Delivering Food and Grocery

引用

4th IEEE Global Conference for Advancement in technology, GCAT 2023

作者： Chidananada Srinivasa, C.K. Panirama Prsad, P. Dept. of Computer Science & Engineering Ballari Institute of Technology and Management Ballari India

ISBN: (纸本)9798350305258

"ShopNest" is a mobile application which connects local customers to local retailers. Due to massive supermarkets most of the minute retail shops have taken a bad hit. This idea provides a great opportunity for small retail shops to increase their business and also a quick delivery saves time for customers. As we see, most parents and elder people depend on the caretaker of their family to get their essentials. So, the concept is to help the dependent, to reach out for their essentials. It was also observed that some people are emotionally connected with some specific shop(s) and people usually write down a list of their essentials on a piece of paper which has no use in online ordering. In this article a novel approach is proposed which provides the liberty to the people in the way they order, providing value to that piece of paper while placing the order and to connect people to their favorite shop(s) through the application and service and deliver the ordered products. © 2023 IEEE.

关键词： component formatting insert (key words) style styling

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Design and Fabrication of Bengali Braille Embosser Using Solenoid 9

Design and Fabrication of Bengali Braille Embosser Using Sol...

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9th IEEE International Conference for Convergence in technology, I2CT 2024

作者： Momin, Reshad Ibn Das, Ratan Kumar Raxit, Sourav Muna, Umme Salma Al Miraj, Abdullah University of Southern Denmark-SDU Dept. of Mechanical & Electrical Engineering Sønderborg Denmark Chittagong University of Engineering & Technology Dept. of Mechanical Engineering Chattogram4349 Bangladesh University of New Orleans Department of Computer Science United States American International University Dept. of Computer Science & Engineering Dhaka Bangladesh Chittagong University of Engineering & Technology Dept. of Electrical & Electronic Engineering Chattogram4349 Bangladesh

ISBN: (纸本)9798350394474

This paper presents the design and development of a low-cost and user-friendly Bengali braille embosser for the visually impaired population in Bangladesh. To produce braille text, the embosser employs a shifting mechanism and an Embosser head, both controlled by an Arduino microcontroller. A software has also been developed to allow users with basic printer knowledge to operate the embosser. Access to educational resources and reading materials is limited for people with disabilities in Bangladesh, and the availability of Bengali braille writing machines is scarce. The proposed solution aims to address these challenges and improve the learning and communication capabilities of visually impaired individuals. © 2024 IEEE.

关键词： arduino braille embosser portable speed

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Partial Discharge Classification With 1D Convolutional Neural Network 14

Partial Discharge Classification With 1D Convolutional Neura...

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14th International Conference on the Properties and Applications of Dielectric Materials, ICPADM 2024

作者： Cheypoca, Thepjit Promphanich, Wiboon Thway, Aung Ye Hankae, Angelina Phimpissada Jeenmuang, Siwakorn Pattanadech, Norasage School of Engineering King Mongkut's Institute of Technology Ladkrabang Instrumentation and Control Engineering Dept. Bangkok Thailand School of Engineering King Mongkut's Institute of Technology Ladkrabang Computer Engineering Dept. Bangkok Thailand School of Engineering King Mongkut's Institute of Technology Ladkrabang Electrical Engineering Dept. Bangkok Thailand School of Engineering King Mongkut's Institute of Technology Ladkrabang Mechatronics Engineering Dept. Bangkok Thailand

ISBN: (纸本)9798350374605

This paper introduces a novel approach for classifying with the 1D Convolutional Neural Network model for partial discharge patterns, that consists of corona discharge, surface discharge and internal discharge. The PD measuring circuit suggested in IEC 60270:2000 is used to record Partial discharge signals. Independent parameters such as phase and charge of PD patterns were recorded. The Artificial Neural Network for the classification model was constructed. Moreover, 2×1D CNN feature extraction was utilized to reduce the curse of dimensionality in the dense layer of the proposed PD classification model. 80% of the recorded data will be used as a training data and 20% recorded data was used for testing of the classification models. Impacts of neuron numbers and network architecture on the PD classification performance will be observed. © 2024 IEEE.

关键词： Convolutional neural networks

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