The proceedings contain 32 papers presendted at a virtual meeting. The special focus in this conference is on Artificial Intelligence for IT Operations. The topics include: A Taxonomy of Anomalies in Log Dat...
ISBN:
(纸本)9783031141348
The proceedings contain 32 papers presendted at a virtual meeting. The special focus in this conference is on Artificial Intelligence for IT Operations. The topics include: A Taxonomy of Anomalies in Log Data;little Help Makes a Big Difference: Leveraging Active Learning to Improve Unsupervised Time Series Anomaly Detection;MMRCA: MultiModal Root Cause Analysis;IAD: Indirect Anomalous VMMs Detection in the Cloud-Based Environment;comparing Graph Data Science Libraries for Querying and Analysing Datasets: Towards Data Science Queries on Graphs;gamification for Healthier Lifestyle – User Retention;streaming and Visualising Neuronal Signals for Understanding Pain;graph Analytics Workflows Enactment on Just in Time Data Centres Position Paper;say No2Ads: Automatic Advertisement and Music Filtering from Broadcast News Content;data Centred Intelligent Geosciences: Research Agenda and Opportunities Position Paper;Design Patterns in an ERP Environment;towards a Semantics-Based Search Engine for Smart Contract Information;a Blockchain-Based Autonomous System for Primary Financial Market;multi-agent Reinforcement Learning for Task Allocation in Cooperative Edge Cloud computing;occupancy Estimation from Thermal Images;constraint-Aware Trajectory for Drone Delivery Services;seamless Synchronization for Collaborative Web Services;Crowd4ME: A Crowdsourcing-Based Micro-expression Collection Platform;AI-Enabled processes: The Age of Artificial Intelligence and Big Data;hybrid Recommendation of Movies Based on Deep Content Features;continuously Testing Distributed IoT Systems: An Overview of the State of the Art;towards Scalable Blockchains Using Service-Oriented Architectures;snapshot of Research Issues in Service Robots;automatic Image Annotation Using Quantization Reweighting Function and Graph Neural Networks;interactive process Improvement Using Simulation of Enriched process Trees;a Reproducible Approach for Mining Business Activities from Emails for process Analytics;human-in
The proceedings contain 211 papers. The topics discussed include: analysis of the impact of economic and demographic factors on women's FMCG perspective and behavior using machine learning algorithms;music player ...
ISBN:
(纸本)9798350391770
The proceedings contain 211 papers. The topics discussed include: analysis of the impact of economic and demographic factors on women's FMCG perspective and behavior using machine learning algorithms;music player system using real-time facial expression detection;EEG-driven approach to improve academic performance via auditory brainwave entrainment techniques;disaster management: mobilizing safety during calamity;photovoltaic bottle with multiple features using solar module and USB kit;adaptive load balancing strategies for reducing system failures in network infrastructures;retrieval augmented generation approach for multipdf chatbot using LangChain;intelligent content summarization system using natural language processing;and develop a framework of a recurring procedure for improving agro production and plant quality by using frameworks.
The proceedings contain 23 papers. The special focus in this conference is on High-Performance computing Systems and Technologies in Scientific Research, automation of control and Production. The topics include: Ontol...
ISBN:
(纸本)9783031237430
The proceedings contain 23 papers. The special focus in this conference is on High-Performance computing Systems and Technologies in Scientific Research, automation of control and Production. The topics include: Ontology-Based Data Mining Platform for Diagnosing Sowing Quality of Wheat Seeds;algorithm for the Classification of Coronary Heart Disease Based on the Use of Symptom Complexes in the Cardiovascular Environment;business process Designing of the Institutional Ranking System of Higher Education of the Kyrgyz Republic;evaluation of the Efficiency of the Vaccination Against Chickenpox Based on the Results of Simulation Modeling;hierarchical Volume Mesh Model of Heterogeneous Media Based on Non-Destructive Imaging Data;modeling a Potential Plant Habitat by Ensemble Machine Learning;adaptive Traffic Signal control Based on a Macroscopic Model of the Transport Network;optimization and Robustization of Angular Motion control of an Automatic Maneuverable Aerial Vehicle;synthesis of the Rational Analyzing Function for Feature Extraction of Signals from the Electrostatic Location System;Architecture and CAD Software Solutions for PCB Design;application of Computer Numerical control in Eddy-Current Study Methods;Open-Source Solution for Identification and Blocking of Anomalous BGP-4 Routing Information;Simulation of DDoS Attacks on LTE and LoRaWAN Protocols in the NS-3 Network Simulator;transaction-Oriented Approach to the Design of Information Systems Based on Formal Grammar;frequency-Domain Generalized Phase Transform Method in Pipeline Leaks Locating;inverse Problem Regularization of Parametric Identification of the Particle Temperature Distribution of Gas-Thermal Flow with Optimization of Its Solution;application of the Heterogeneous Multiscale Finite Element Method for Modelling the Compressibility of Porous Media.
The proceedings contain 326 papers. The topics discussed include: kidney localization and stone segmentation from a CT scan image;a research survey on traffic management, accident detection and emergency notification ...
ISBN:
(纸本)9798350304268
The proceedings contain 326 papers. The topics discussed include: kidney localization and stone segmentation from a CT scan image;a research survey on traffic management, accident detection and emergency notification systems to improve society health;YOLO on GPU implementation for a vision-based fruit select and place system with a 5-DOF robotic arm;machine learning approach in melanoma cancer stage detection;unleashing the potential of convolutional neural networks for automated depression detection using audio modality;artificial intelligence, machine learning, and natural language processing capabilities in modern business intelligence;performance evaluation of various risk importance measures for large scale grid-connected solar photovoltaic systems;and automated generation of OpenSCENARIO scenarios for evaluating advanced driver assistance systems.
In this contribution a new discrete event control scheme is proposed to ensure a defined and a reproducible process in reactive sputtering plants. The control scheme is based on a novel hybrid model that describes the...
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ISBN:
(纸本)9798331518509;9798331518493
In this contribution a new discrete event control scheme is proposed to ensure a defined and a reproducible process in reactive sputtering plants. The control scheme is based on a novel hybrid model that describes the pressure behaviour and the electrical behaviour of such processes. A new automation system is developed to allow the experimental validation of the control scheme, which consists of two parts. An interlock control prevents prohibited process states and a sequence control ensures a desired sequence of process states. Experimental data are shown to demonstrate the applicability of the discrete event control scheme and of the automation system.
The proceedings contain 152 papers. The topics discussed include: review of EDM for analyzing the performance of students in educational setting;online hate classifier for social media platform;covi-Gate: face mask an...
ISBN:
(纸本)9781665484510
The proceedings contain 152 papers. The topics discussed include: review of EDM for analyzing the performance of students in educational setting;online hate classifier for social media platform;covi-Gate: face mask and temperature detection system;patent classification with intelligent keyword extraction;machine learning application for lung cancer detection;sizing of wind turbine for repowering of old wind farm: a case study based approach;detection of lung cancer pulmonary nodules using computer aided detection system;survey of technologies for industry 4.0;weak supervision as an efficient approach for automated fault detection;electronic health record management using Hyperledger fabric;analysis of employee surveillance system using deep learning models;analysis of translational and tensor factorization knowledge graph embedding models;and hearing loss adaptivity of machine learning based compressive sensing speech enhancement for hearing aids.
this paper outlines the design of a low-processcontrol system for embedded systems applications, utilizing a RISC-V processor. The design incorporates functional units of a single-cycle Datapath and a control unit de...
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ISBN:
(纸本)9798350370058;9798350370164
this paper outlines the design of a low-processcontrol system for embedded systems applications, utilizing a RISC-V processor. The design incorporates functional units of a single-cycle Datapath and a control unit developed in Verilog HDL. Focus on testing RISC-V instructions to achieve low-processcontrol in embedded systems applications by employing proper instruction mnemonics. The approach enhances the low-processcontrol and efficiency in embedded systems applications and system design through single-cycle control. The designed low-processcontrol proves valuable by computing the processor time (T) needed in instruction execution. Low-processcontrol 1 exhibits an 88.21% improvement over an AVR processor control, and low-processcontrol 2 demonstrates a 49.43% improvement, thereby ensuring efficient processcontrol. The findings contribute to the understanding of RISC-V architecture implementation in an FPGA platform, featuring LED visualization to depict equivalent machine code generated in a single-cycle process. This study advances the theoretical framework of system optimization and control with the use of FPGA platforms.
The proceedings contain 32 papers. The special focus in this conference is on High-Performance computing Systems and Technologies in Scientific Research, automation of control and Production. The topics include: Mathe...
ISBN:
(纸本)9783030941406
The proceedings contain 32 papers. The special focus in this conference is on High-Performance computing Systems and Technologies in Scientific Research, automation of control and Production. The topics include: Mathematical Simulation of Coupled Elastic Deformation and Fluid Dynamics in Heterogeneous Media;numerical Modeling of Electric and Magnetic Fields Induced by External Source in Frequency Domain;improving the Heterogeneous computing Node Performance of the Desktop Grid When Searching for Orthogonal Diagonal Latin Squares;visual Metamodeling with Verification Based on Surrogate Modeling for Adaptive computing;recognition Algorithms Based on the Selection of 2D Representative Pseudo-objects;applied Interval Analysis of Big Data Using Linear Programming Methods;parallel computing in Problems of Classification of Teenagers Based on Analysis of Digital Traces;identification of Key Players in a Social Media Based on the Kendall-Wei Ranking;using Time Series and New Information Technologies for Forecasting Sugarcane Production Indicators;Calculation of Activation Functions in FPGA-Based Neuroprocessors Using the Cordic Algorithm;software and Methodology for the Design of System Dynamics Models Based on the Situation-Activity Approach;architecture of an Intelligent Network Pyrometer for Building Information-Measuring and Mechatronic Systems;implementation of a Network-Centric Production Storage System in Distributed High-Performance computing Systems;internet of Things for Reducing Commercial Losses from Incorrect Activities of Personnel;method of Constructing the Assigned Trajectory of a Multi-link Manipulator Based on the "Programming by Demonstration" Approach;developing a Microprocessor-Based Equipment control Panel for Rifle Sports Complexes;methods for Domain Adaptation of Automated Systems for Aspect Annotation of Customer Review Texts;testing Methods for Blockchain Applications.
processautomation is critical in modern industries, providing systems for precise control of variables such as temperature, pressure, and flow. Traditional control methods like PID controllers require manual tuning a...
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Gas leakage occurring in industrial sites is a risk factor that can cause major accidents such as fires or explosions. To mitigate the risk effectively, it is imperative to establish a gas leakage monitoring system ca...
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ISBN:
(纸本)9798331517939;9788993215380
Gas leakage occurring in industrial sites is a risk factor that can cause major accidents such as fires or explosions. To mitigate the risk effectively, it is imperative to establish a gas leakage monitoring system capable of promptly detecting abnormal conditions. In this paper, we propose the anomaly detection method using Hyperdimensional computing (HDC) for detecting gas leakage in pipes. Hyperdimensional computing can reduce the amount of computation through high-dimensional vectors and nested operations, which can solve the computational cost problem of deep learning. In the experiments, we implemented an anomaly detection method with binary classification and multi-class classification, that resulted in an F1 score of 99.97% and 99.85% when using 10,000 vector dimensions, respectively.
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