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3rd IEEE Asian Conference on Innovation in Technology, ASIANCON 2023

作者： Rao, Yeshoviraj Singh Mehta, Bhavin Kathiriya, Ami dharvia, Abhishek Pancholi, devansh Patel, Harshal L.D. College of Engineering Biomedical Engineering Department Ahmedabad India

ISBN: (纸本)9798350302288

Worldwide, the major cause of death is Cardiac dysfunction, which can be detected through heart sounds. Acoustic stethoscopes are one of the oldest methods of auscultation. An ordinary acoustics-based stethoscope is limited in providing high-quality sound in noisy environments. This paper addresses the problem of cost-effectively making a smart stethoscope using modern electronics and computing technologies for cardiac auscultation. Along with that, to have telemedicine involved with the utmost accuracy possible. A signal conditioning circuit is designed to process the auscultation signals measured by a condenser microphone using a Preamplifier, a High pass filter, a low Pass Filter, and an Op-Amp Subtractor. An ESP32 development board is used to convert the signal to digital format and transmit the signal through Bluetooth to an Android application to visualize signals. The smart stethoscope is designed to record and transmit real-time heart sounds to healthcare professionals while considering cost-effectiveness and portability. In the future, we can use the recorded signals to predict cardiac disorders using deep learning models. © 2023 IEEE.

关键词： Cost effectiveness

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Pneumonia detection Software 4

Pneumonia Detection Software

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4th IEEE International Conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2024

作者： Patil, Parth Inamdar, Vibhav Powar, Rohan Patil, Atharv Mulla, Amaan Jadhav, Ranjita D. Y. Patil College of Engineering & Technology Department of Computer Science and Engineering Kolhapur India

ISBN: (纸本)9798350360165

Pneumonia is an infection that leads to inflammation and fluid accumulation within the pulmonary system. Pneumonia can be caused by bacterial, fungal or viral infection. Pneumonia causes breathing difficulties as the air sacs in the lungs might be filled with fluid or pus. It can lead to fever and coughing, often accompanied by the production of yellow, green or even bloody mucus. Pneumonia is a major cause of death throughout the globe. Pneumonia diagnosis is done using an X-ray of the lungs. Pneumonia detection software can detect pneumonia in early stages which can lead to lower mortality rates. With advanced deep learning neural networks such as CNN, Xray images can be classified as pneumonic or non-pneumonic. This can be integrated into a software package that can work across different systems to help people detect pneumonia with just their lung X-rays. © 2024 IEEE.

关键词： Software packages

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design of an Integrated Collaborative Environment for Projects with Plagiarism Checker 4

Design of an Integrated Collaborative Environment for Projec...

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4th International Conference on Sustainable Expert Systems, ICSES 2024

作者： Ezhumalai, P. Sharmila, V. Selvi, d.M. Kalai Vethanathan, V.K. Srivatsan Kumar, S. Santhosh, M. R.M.D Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331540364

Integrated platforms, often referred to as integrated software or integrated systems, bring together different functionalities and tools into a unified environment. These platforms offer several advantages by streamlining processes, enhancing collaboration, and improving efficiency. The aim of this project is to create a comprehensive and integrated website for hosting student projects, with a focus on plagiarism checking and support for project contributors. The website will provide a platform for individuals to collaborate, manage, and showcase their projects in a centralized location. In addition to the traditional project management features, the website will also include a plagiarism checker to ensure that all work submitted is original and meets ethical standards. The website will also provide support and guidance for individuals who are contributing to projects, including incident handling using a chat bot. To enhance the user experience, the website will also feature a customized version of the chat GPT, where users can ask questions and resolve their doubts. By providing these additional features, the project aims to create a comprehensive solution for students and organizations looking to host and manage projects with ease and efficiency. © 2024 IEEE.

关键词： Bot (Internet)

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location-Based Geographical-Spatial data Mining for detection and Visualization of Reported Problems using Image Processing Techniques 14

Location-Based Geographical-Spatial Data Mining for Detectio...

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

作者： Harsoor, Anita Soma, Bhavani P D A College of Engineering Department of Computer Science and Engineering Kalaburagi India

We face many possible problems/issues in our daily lives, such as potholes, garbage filling, uncomfortable parking, broken roads, etc. To report that kind of problem becomes a great hassle. To solve this problem we developed a Geographical-Spatial data Mining System (GdMS), an android mobile application named Civicawareness for retrieving and analyzing textual data with geographical locations and photos as proof. The model has four constituents: data collection, data pre-processing, data analysis, and data visualization. Here, we use the k-means algorithm for clustering and SVM for classification. This system will collect a large number of data that will be used by common people to post the problems they have found. © Grenze Scientific Society, 2023.

关键词： data mining

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Smooth Rate limiter Model for Power System Stability Analysis and Control

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IEEE Transactions on Power Systems 2025年第4期40卷 3611-3614页

作者： Alexakis, Zaint A. Papageorgiou, Panos C. Alexandridis, Antonio T. Milano, Federico Tzounas, Georgios University of Patras Department of Electrical and Computer Engineering Patra Greece University College Dublin School of Electrical and Electronic Engineering DublinD04V1W8 Ireland

The letter proposes a smooth Rate limiter (Rl) model for power system stability analysis and control. The proposed model enables the effects of derivative bounds to be incorporated into system eigenvalue analysis, while replicating the behavior of conventional non-smooth Rls with high fidelity. In addition, it can be duly modified to enhance the system's dynamic control performance. The behavior of the proposed model is demonstrated through illustrative examples as well as through a simulation of the New York/New England 16-machine 68-bus system. © 1969-2012 IEEE.

关键词： Nonlinear control systems

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Modified Mackenzie Equation and CVOA Algorithm Reduces delay in UASN

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computer Systems Science & engineering 2022年第5期41卷 829-847页

作者： R.Amirthavalli S.Thanga Ramya N.R.Shanker Department of Computer Science and Engineering Velammal Engineering CollegeChennai66India Department of Information Technology R.M.D Engineering CollegeTiruvallur1206India Department of Computer Science and Engineering Aalim Muhammed Salegh College of EngineeringChennai55India

In Underwater Acoustic Sensor Network(UASN),routing and propagation delay is affected in each node by various water column environmental factors such as temperature,salinity,depth,gases,divergent and rotational *** sound velocity increases the transmission rate of the packets and the high dissolved gases in the water increases the sound *** dissolved gases and sound velocity environment in the water column provides high transmission rates among UASN *** this paper,the Modified Mackenzie Sound equation calculates the sound velocity in each node for energy-efficient *** Ratio Optimization Method(GROM)and Gaussian Process Regression(GPR)predicts propagation delay of each node in UASN using temperature,salinity,depth,dissolved gases *** gases,rotational and divergent winds,and stress plays a major problem in UASN,which increases propagation delay and energy *** values from GPR and GROM leads to node selection and Corona Virus Optimization Algorithm(CVOA)routing is performed on the selected *** proposed GPR-CVOA and GROM-CVOA algorithm solves the problem of propagation delay and consumes less energy in nodes,based on appropriate tolerant delays in transmitting packets among nodes during high rotational and divergent *** simulation results,CVOA Algorithm performs better than traditional dF and lION algorithms.

关键词： Gaussian process regression(GPR) golden ratio optimization method(GROM) corona virus optimization algorithm(CVOA) water column variation dissolved gases acoustic speed divergent wind rotational wind

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Feasibility Study of Offshore Triceratops-Supported Floating Offshore Wind Turbine

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Journal of The Institution of Engineers (India): Series A 2024年第2期105卷 295-305页

作者： Srinivasan, Chandrasekaran Serino, Giorgio Chauhan, Yogesh J. Sanghvi, Chaitanya Gohil, Aishwary Deptartment of Ocean Engineering Indian Institute of Technology Madras Chennai India Deptartment of Structural Engineering University of Naples Federico II Naples Italy Deptartment of Applied Mechanics L. D. College of Engineering Ahmedabad India

Many countries have updated their renewable energy policies, in which considerable attention is drawn towards offshore wind energy. Offshore industry has witnessed many evolved structural platforms, whether they are fixed or floating. As far as the oil and gas industry is concerned, there are various floater schemes currently in practice, such as SPAR, Tension-leg Platform, and Semi-Submersible. Among these, Triceratops is a new concept which has many structural benefits over existing floating platforms. Several studies have reported their advantages and applications in oil and gas industry. The current study focuses on the feasibility of offshore Triceratops as an alternate floater scheme for Floating Offshore Wind Turbines (FOWTs) in deep waters. The coupled dynamic analysis due to wind-induced motion and hydrodynamics of the platform under waves are examined. Wind loads are modelled using OpenFAST, and the results are coupled in ANSYS Workbench to obtain hydrodynamic diffraction and motion responses. The responses for the two floater schemes, i.e. SPAR and Triceratops-supported FOWT, are compared, and the necessary conclusions are laid to provide insights into the feasibility of using the Offshore Triceratops for supporting FOWT. © The Institution of Engineers (India) 2024.

关键词： Tension-leg platforms

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An Efficient Technique for the Better Recognition of Oral Cancer using Support Vector Machine 7

An Efficient Technique for the Better Recognition of Oral Ca...

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7th International Conference on Intelligent Computing and Control Systems, ICICCS 2023

作者： Manikandan, J. devakadacham, Sterlin Rani Shanthalakshmi, M. Arockia Raj, Y. Vijay, K. Rajalakshmi Engineering College Thandalam Computer Science and Engineering Chennai India R. M. D. Engineering College Computer Science and Engineering Kavaraipettai India Sri Venkateswara College of Engineering Computer Science and Engineering Chennai India PSNA College of Engineering and Technology Computer Science and Engineering Dindugal India

ISBN: (纸本)9798350397253

Accuracy is among the most important factors in a disease diagnosis. It is essential to select the characteristics that you find most pertinent for the highest accuracy. This study aims to more accurately predict the presence of the primary stage of squamous cell carcinoma using fewer indicators. Stages of oral cancer were first demonstrated to be predicted by 25 features. The variety of features that are obtained from various patient records is indirectly decreased in this study through the combination of the unified medical system using hybrid features selection techniques to identify the characteristics that are most useful for the identification of oral cancer. Hybrid feature selection has been used to condense 25 qualities into 14 features. The diagnosis of patients with oral cancer is then predicted using four classifiers: Updatable Naive Bayes, Multilayer Perceptrons, K-Nearest Neighbor, and Support Vector Machines. Also, the data show that, after adding feature development decisions with SMOTE during the preprocessing phases, the support vector machine's performance surpasses other machine learning techniques. © 2023 IEEE.

关键词： Support vector machines

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Software-defined-Storage Performance Testing Using Mininet

Software-Defined-Storage Performance Testing Using Mininet

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2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems, ICITEICS 2024

作者： Naik, deepak Ranoji Ghonge, Vilas d. Thube, Smita Mangesh Khadke, Abhijit Mali, Yogesh Kisan Borate, Vishal Kisan G.H. Raisoni College of Engineering and Management Department of Computer Engineering Pune India Viit Department of Computer Engineering Pune India Nutan Maharashtra Institute of Engineering and Technology Department of Computer Engineering Pune India G H Raisoni College of Engineering & Management Department of Aiml Pune India Dr D y Patil College of Engineering & Innovation Department of Computer Engineering Pune India

ISBN: (纸本)9798350382693

Customary capacity the board methods are turning out to be less powerful for dealing with this huge volume of information because of the improvement of server farms and the unforeseen ascent away requirements. By eliminating the capacity control exercises out of the genuine information stockpiling media and placing them in the product layer of a concentrated regulator, Programming Characterized Stockpiling offers an answer for this issue. An insightful programming stack named 'programming characterized foundation' may deal with reasonable product equipment. A software engineer known as programming characterized capacity controls information capacity assets without the utilization of real equipment. Making the capacity engineering of a genuine Programming Characterized Stockpiling framework with no reenactment or imitating is an exorbitant and unsafe technique. Subsequently, the framework should be recreated prior to being utilized, in actuality. In this manner, virtualized proving grounds for such frameworks should be reenacted before genuine execution and sending. In this article, we evaluate software-defined storage engineering using the Programming described Association (PdA) test framework, Mini-net. This framework is designed, assembled, and ready to advance without revisiting the established assembly structure. The core components of Mini-net have been modified to address data distribution challenges in contemporary Sd storage and to scale storage capacity appropriately within this simulated environment. © 2024 IEEE.

关键词： Software testing

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A Predictive Approach For Assessing Medication Responsiveness in Breast Cancer Through Analysis of Gene data

A Predictive Approach For Assessing Medication Responsivenes...

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2025 International Conference on Intelligent Control, Computing and Communications, IC3 2025

作者： Gupta, Kimmi Singh, Jagendra Singh, Harender Pratap Singh, Manoj Kumar Gupta, Nitin Roohani, Basudeo Singh School of Computer Science Engineering & Technology Bennett University Greater Noida India Ghaziabad India Ims Engineering College Computer Science & Engineering Ghaziabad India S. D. College of Engineering and Technology Department of Cse Muzaffarnagar India

ISBN: (纸本)9798331527495

Breast cancer remains one of the leading causes of cancer-related deaths worldwide, with treatment responses varying wildly among patients. The inability to predict how an individual patient will respond to a given particular medication is an essential area in optimising treatment plans and better outcomes in such deadly diseases. This research aims to address the challenge of predicting medication responsiveness in breast cancer, analysing genomic data by exploiting publicly available datasets from both The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO). The datasets are comprised of gene expression profiles, somatic mutations, and clinical data such as patient demographics, tumour subtypes, and treatment outcomes. Preprocessing involved cleaning and normalisation of gene expression values, imputation to address missing data, and selection of essential genes that were most relevant for drug response using feature selection techniques. Its dimensionality was reduced using Principal Component Analysis (PCA). Four machine learning models, including artificial neural networks (ANN), Convolutional Neural Networks (CNN), recurrent neural networks with long short-term memory (RNN-lSTM), and autoencoders, are used in this research. All models were trained, validated, and tested against accuracy, precision, recall, F1 score, and AUC-ROC in that the highest performance was achieved at 98.89% accuracy using the CNN model. The findings point towards the fact that deep learning models, especially CNN, open promising avenues for personalised breast cancer treatment. The findings, therefore, hold significant importance for the application of AI in precision medicine, potentially enabling more accurately targeted therapies, minimising side effects, and ultimately improving patient outcomes in oncology. © 2025 IEEE.

关键词： long short-term memory

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