In this study, we present the Edge IoT Architecture (Architecture) for analyzing the real-time state information of the regenerative thermal oxidizer (RTO) and implement a visualization method. The Edge-IoT architectu...
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ISBN:
(数字)9791188428137
ISBN:
(纸本)9798331507602
In this study, we present the Edge IoT Architecture (Architecture) for analyzing the real-time state information of the regenerative thermal oxidizer (RTO) and implement a visualization method. The Edge-IoT architecture system interfaces with the programmable logic control (PLC) that controls the monitoring of RTO operations and transmits real-time data to a remote server, analyzes the channel data received through the IoT to build a database, and visualizes the characteristics of database (DB) analysis. IoT architecture implementation for fault diagnosis and maintenance of RTO designs IoT circuits on PLC control panels that control monitoring. Compatibility and information security are considered to facilitate remote maintenance. The received data is segmented by each channel and analyzed by a visualization algorithm to detect anomalies in the segmented data. At this time, the visualized data is judged to be normal, insufficient, or warning, depending on the threshold.
Technology has played a huge role in human evolution since time immemorial. Now it is not only limited to engineers and data scientists, but far beyond, to even medicine. With increasing load on medical professionals ...
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ISBN:
(数字)9798331530259
ISBN:
(纸本)9798331530266
Technology has played a huge role in human evolution since time immemorial. Now it is not only limited to engineers and data scientists, but far beyond, to even medicine. With increasing load on medical professionals and healthcare systems, digitalization can come handy. The traditional X-ray imaging gives unclear images of bone components in tissue making it difficult for surgeons to diagnose. Using technology, accurate diagnosis can be achieved. This includes a series of steps comprising pre-processing, edge detection, feature extraction and machine learning classifications. Machine learning algorithms such as Convolutional Neural Networks(CNN) and Visual Geometry Group(VGG) were used on a dataset consisting of 9246 training, 506 test and 829 validation images with 0.95 and 0.85 accuracies respectively. The data loss for CNN was found to be 0.24 in comparison to 0.4 for VGG. So from statistical inference, CNN is better.
The proceedings contain 60 papers. The special focus in this conference is on Information Technologies and Their Applications. The topics include: Turkish Legal Single-Document Summarizing;technologies and systems for...
ISBN:
(纸本)9783031734168
The proceedings contain 60 papers. The special focus in this conference is on Information Technologies and Their Applications. The topics include: Turkish Legal Single-Document Summarizing;technologies and systems for Monitoring the Onset of Accidents at Strategic Construction;optimizing Feature Distributions for Unsupervised Deep Learning-Based Fabric Defect Detection and Localization;conservation of Wildlife in Hunting Tourism Using Artificial Intelligence and imageprocessing in Smart Firearms;optimizing Microarray Gene Selection in Colon Cancer: An Enhanced Metaheuristic Algorithm for Feature Selection;securing Vehicular Ad-Hoc Networks: A Blockchain and Software Defined Network Approach for Enhanced Efficiency, Safety, and Security;influence of Process Noise Biases to Satellite Attitude Filters’ Estimates;information-Retrieval System of Rock Pictures of Different Countries and Continents;convergence of Sharpness-Aware Minimization with Momentum;vulnerability Assessment and Penetration Testing of University Network;preliminary Orbit Estimation for Turksat 5B via Extended and Unscented Kalman Filtering;Three-Axis Attitude Determination of a Nanosatellite Using Optimized TRIAD algorithms;computer System of Evaluation of the Mass Exam Results Based on Recognition of Handprinted Azerbaijani Characters;Empirical Analysis of Conformer Impact on the CTC-CRF Model in Kazakh Speech Recognition;ontological Approach to Describing the Interaction of Information Processes in Intelligent systems;LANet: Lightweight Attention Network for Medical image Segmentation;Lightweight Hybrid CNN Model for Face Presentation Attack Detection;disaggregation Analyses of the External/Internal Parameters for Chloride Diffusion in Concrete Structures: Artificial Intelligence by k-means Algorithm;k-means for Small Earthquakes. Alternative Disaggregation Analyses by Considering Wave Components and Soil Types;algorithm for Distributing Incoming Messages Among Handlers.
The proceedings contain 51 papers. The special focus in this conference is on Advances in Artificial Intelligence and Machine Learning in Big Data processing. The topics include: Topological Navigation of Path Plannin...
ISBN:
(纸本)9783031730641
The proceedings contain 51 papers. The special focus in this conference is on Advances in Artificial Intelligence and Machine Learning in Big Data processing. The topics include: Topological Navigation of Path Planning Using a Hybrid Architecture in Wheeled Mobile Robot;abnormal Behaviour Detection in Surveillance Videos;ISAApp – image Based Smart Attendance Application;a Self-learning Ai-Based Information Leak Protection System;enhancing Abnormal Object Detection in Camera-Based systems Through Computer Vision and Deep Learning Techniques;Detection and Classification of Brain Tumor in Magnetic Resonance images Using CNN;diagnosis of Parkinson’s Disease Using Machine Learning and Deep Learning Techniques;a Survey on Deep Learning Based Human Activity Recognition System;a Deep Learning Approach for Non - invasive Body Mass Index Calculation;Early-Stage Detection of Alzheimer’s Disease Using MRI Scans with Deep Learning;penguin Search Optimization with Deep Learning Based Cybersecurity Malware Spectrogram image Classification;Detection and Classification of Skin Disease Using CNN;estimation of Above Ground Biomass Using Machine Learning and Deep Learning algorithms: A Review;URL Phishing Detection Using Deep Learning and Machine Learning Techniques;enhanced Disease Recognition and Classification in Black Gram Plant Leaves Using Deep Learning;Ensemble Deep Learning Approach for Identification of DDOS Attack;ROCLT: Enhanced Text Classifier for Sentiment on Imbalanced Multiclass Tweet Data Using Hybrid Deep Learning Techniques;computer Vision to Animal Footprint Classification Based on Deep Learning Model;Speech Emotion Recognition Using CNN Classifier Based on Deep Learning Model;face Detection and Recognition for Criminal Identification System Using Deep Learning.
The proceedings contain 51 papers. The special focus in this conference is on Advances in Artificial Intelligence and Machine Learning in Big Data processing. The topics include: Topological Navigation of Path Plannin...
ISBN:
(纸本)9783031730672
The proceedings contain 51 papers. The special focus in this conference is on Advances in Artificial Intelligence and Machine Learning in Big Data processing. The topics include: Topological Navigation of Path Planning Using a Hybrid Architecture in Wheeled Mobile Robot;abnormal Behaviour Detection in Surveillance Videos;ISAApp – image Based Smart Attendance Application;a Self-learning Ai-Based Information Leak Protection System;enhancing Abnormal Object Detection in Camera-Based systems Through Computer Vision and Deep Learning Techniques;Detection and Classification of Brain Tumor in Magnetic Resonance images Using CNN;diagnosis of Parkinson’s Disease Using Machine Learning and Deep Learning Techniques;a Survey on Deep Learning Based Human Activity Recognition System;a Deep Learning Approach for Non - invasive Body Mass Index Calculation;Early-Stage Detection of Alzheimer’s Disease Using MRI Scans with Deep Learning;penguin Search Optimization with Deep Learning Based Cybersecurity Malware Spectrogram image Classification;Detection and Classification of Skin Disease Using CNN;estimation of Above Ground Biomass Using Machine Learning and Deep Learning algorithms: A Review;URL Phishing Detection Using Deep Learning and Machine Learning Techniques;enhanced Disease Recognition and Classification in Black Gram Plant Leaves Using Deep Learning;Ensemble Deep Learning Approach for Identification of DDOS Attack;ROCLT: Enhanced Text Classifier for Sentiment on Imbalanced Multiclass Tweet Data Using Hybrid Deep Learning Techniques;computer Vision to Animal Footprint Classification Based on Deep Learning Model;Speech Emotion Recognition Using CNN Classifier Based on Deep Learning Model;face Detection and Recognition for Criminal Identification System Using Deep Learning.
The proceedings contain 60 papers. The special focus in this conference is on Information Technologies and Their Applications. The topics include: Turkish Legal Single-Document Summarizing;technologies and systems for...
ISBN:
(纸本)9783031734199
The proceedings contain 60 papers. The special focus in this conference is on Information Technologies and Their Applications. The topics include: Turkish Legal Single-Document Summarizing;technologies and systems for Monitoring the Onset of Accidents at Strategic Construction;optimizing Feature Distributions for Unsupervised Deep Learning-Based Fabric Defect Detection and Localization;conservation of Wildlife in Hunting Tourism Using Artificial Intelligence and imageprocessing in Smart Firearms;optimizing Microarray Gene Selection in Colon Cancer: An Enhanced Metaheuristic Algorithm for Feature Selection;securing Vehicular Ad-Hoc Networks: A Blockchain and Software Defined Network Approach for Enhanced Efficiency, Safety, and Security;influence of Process Noise Biases to Satellite Attitude Filters’ Estimates;information-Retrieval System of Rock Pictures of Different Countries and Continents;convergence of Sharpness-Aware Minimization with Momentum;vulnerability Assessment and Penetration Testing of University Network;preliminary Orbit Estimation for Turksat 5B via Extended and Unscented Kalman Filtering;Three-Axis Attitude Determination of a Nanosatellite Using Optimized TRIAD algorithms;computer System of Evaluation of the Mass Exam Results Based on Recognition of Handprinted Azerbaijani Characters;Empirical Analysis of Conformer Impact on the CTC-CRF Model in Kazakh Speech Recognition;ontological Approach to Describing the Interaction of Information Processes in Intelligent systems;LANet: Lightweight Attention Network for Medical image Segmentation;Lightweight Hybrid CNN Model for Face Presentation Attack Detection;disaggregation Analyses of the External/Internal Parameters for Chloride Diffusion in Concrete Structures: Artificial Intelligence by k-means Algorithm;k-means for Small Earthquakes. Alternative Disaggregation Analyses by Considering Wave Components and Soil Types;algorithm for Distributing Incoming Messages Among Handlers.
Amid the growing prominence of Holographic Projection technology in Vietnam’s technology trend, we introduce NEURAHOLO: an innovative system designed to convert 2D images into 3D models for holographic displays. The ...
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Recent pre-exascale and exascale supercomputers have driven the development of increasingly sophisticated AI models for diverse applications, including image recognition and classification, natural language processing...
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ISBN:
(数字)9783982674100
ISBN:
(纸本)9798331534646
Recent pre-exascale and exascale supercomputers have driven the development of increasingly sophisticated AI models for diverse applications, including image recognition and classification, natural language processing, and generative AI. These applications require specialized hardware accelerators, to handle the heavy computational demands of AI algorithms in an energy-efficient manner. Today, AI accelerators are deployed across various systems, from low-power edge devices to large-scale servers, high-performance computing (HPC) infrastructures, and data centers. The primary objective of the ICSC Flagship 2 project, discussed in this paper, is to develop heterogeneous hardware platforms optimized to accelerate HPC and big data applications. Specifically, this paper provides an overview of the key challenges addressed and the achievements realized at the current intermediate stage of the ICSC Flagship 2 project focused on architectures, technologies, and design methodologies to design efficient hardware accelerators for AI workloads, such as deep learning (DL) and transformer models.
The cooling facilities of nuclear power plants are crucial components for transferring the accumulated heat from the reactor to the external environment. However, the complex structure of these facilities makes tradit...
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This research paper introduces a Python-based implementation of a facial recognition system utilizing face recognition and Open CV libraries. The system has diverse applications, including security, surveillance, soci...
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