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.
the design of F-Detector, as an improved Machine Learning-based solution aimed at detecting logical fallacies in digital texts. Using an advanced NLP approach based on BERT, enhances the classification of text fragmen...
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ISBN:
(数字)9798331518127
ISBN:
(纸本)9798331518134
the design of F-Detector, as an improved Machine Learning-based solution aimed at detecting logical fallacies in digital texts. Using an advanced NLP approach based on BERT, enhances the classification of text fragments into various categories of logical fallacies by incorporating more robust linguistic features and a more accurate classification model. the performance of F-Detector was rigorously evaluated using multiple metrics, demonstrating an overall precision of $75 \%$, significantly improving upon the $18 \%$ precision achieved by previous solutions. Additionally, this model will be integrated into a Chrome extension, allowing users, including educators, researchers, and the general public, to utilize it in a natural way. this enhanced tool has the potential for broad application in education and digital content analysis, contributing to better discourse quality and more effective misinformation detection.
Via the paper, the ZE (Zhang equivalency) concept is firstly revisited, and then, on the basis of ZE, equation-type ZE and inequation-type ZE are further showed and discussed. By utilizing ZND (i.e., Zhang neural dyna...
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this is outlined how to create a 3D custom kitchen design, including how to set up the sources, details, work with managing various modifiers like edit poly, slice, mesh select, turbo smooth, lattice, bend, shell modi...
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this is outlined how to create a 3D custom kitchen design, including how to set up the sources, details, work with managing various modifiers like edit poly, slice, mesh select, turbo smooth, lattice, bend, shell modifier, so to provide the kitchen an authentic appearance. the method materials are fitted to the model output, together with illuminating the environment leveraging Arnold lights that are intended to be utilized withthis renderer only. It has features that are optimised for rendering with Arnold. Procedures and methods regarding rendering are indeed specified. the final rendering was made out of several drawings. Our report’s intention is to develop a kitchen designthat enriches models with materials and ample shapes from standard extended primitive along withthe mostly utilization of pro-boolean. Finally, a material editor was used to improve the model. target illumination, too.
this study is in the characteristics of a case study. In this study, seismic deficiency evaluation has been made to the G+1 R.C. building and the causes of the damages were investigated. the RCC structure was subjecte...
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the existing radio monitoring practices suffer from two critical limitations: 1) current practices have been limited to isolated measuring and are unable to integrate data from different spectrum sensors;2) these prac...
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ISBN:
(纸本)9781728158754
the existing radio monitoring practices suffer from two critical limitations: 1) current practices have been limited to isolated measuring and are unable to integrate data from different spectrum sensors;2) these practices still require human operators to interpret signals, which prevent automated and intelligent processing. To address these limitations, we present a novel design of a spectrum sensing node based on the Representational State Transfer (REST) architecture. the spectrum sensing node exploits the REST architecture to integrate resources (data) into the web and to make it effortless to collect and share resources by exposing resources as service-oriented Web APIs. In addition, the spectrum sensing node introduces standardization and automation to radio monitoring. We outline the procedures of spectrum analysis and signal analysis for radio monitoring. Furthermore, to automate spectrum sensing node functionalities, we implement spectrum analysis and signal analysis using machine learning methods, which reliably extract and learn intrinsic features of complex data. the spectrum sensing node has been packaged and deployed in Honghe Hani and Yi Autonomous Prefecture of China for radio spectrum management. We describe and discuss our implemented prototype of the spectrum sensing node to demonstrate its practical advantages.
In recent years, withthe comprehensive promotion of education reform in China, gradually expanding the scale of universities and colleges, more and more students are recruited over the past years, which also brought ...
In recent years, withthe comprehensive promotion of education reform in China, gradually expanding the scale of universities and colleges, more and more students are recruited over the past years, which also brought great employment pressure to graduates. therefore, this paper takes decision classification algorithm as the basic basis, builds decision tree, extracts classification rules, and obtains relevant information affecting employment, so as to provide certain decision support for the improvement of employment level and employment rate of college students.
Technology brings different benefits to society and involves challenges and ethical dilemmas that must be considered during any technology development. In this sense, graduates must recognise the social, legal, ethica...
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the urgency of goods delivery activities in routine and important industries has the potential to damage the environment, high transportation costs and delays in goods delivery. In an effort to handle complex problems...
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ISBN:
(数字)9798350355314
ISBN:
(纸本)9798350355321
the urgency of goods delivery activities in routine and important industries has the potential to damage the environment, high transportation costs and delays in goods delivery. In an effort to handle complex problems, it is necessary to determine routes considering distance and time to different locations in order to get the best green transportation route. the data used are manufacturing industry latitude and longitude coordinate point data from factory data, distributor data and shop/retailer data. Next, the data is processed using Extract Transform Load (ETL) with Google Collab Tool Python to get the best new distance used in the green transportation route determination model. the aim of the research is to design a green transportation route model using a genetic algorithm. the benefits of research are it can provide information for industry in determining the best route, thereby making delivery of goods to consumers more effective and transport costs efficient; Can optimize green transportation routes reducing the impact of pollution resulting from shipping goods; the research method is a green transportation route model with a genetic algorithm. the results of this research produced a green transportation route model with a genetic algorithm for the Palembang factory to the distributor withthe best distence 272.443766121975, the Baturaja factory to the distributor best distence 272.4437714642356, and from the Lampung factory to the distributor best distence 272.4437512424067.
COVID-19 pandemic and its transformation into a global health emergency have further highlighted the need to design an intelligent system that can analyze the growing information of such an epidemic. At the beginning ...
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