检索结果-南通市图书馆

EDT Method for Multiple Labelled Objects Subject to Tied Distances

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

International Journal of Automation and computing 2021年第3期18卷 468-479页

作者： Andre Marasca Andre Backes Fabio Favarim Marcelo Teixeira Dalcimar Casanova federal university of Technology−parana Pato Branco 85503-390Brazil federal university of Uberlandia Uberlandia 38400-902Brazil

The success of new scientific areas can be assessed by their potential for contributing to new theoretical approaches aligned with real-world *** Euclidean distance transform(EDT)has fared well in both cases,providing a sound theoretical basis for a number of applications,such as median axis transform,fractal analysis,skeletonization,and Voronoi *** its wide applicability,the discrete form of the EDT includes interesting properties that have not yet been fully exploited in the *** this paper,we are particularly interested in the properties of 1)working with multiple objects/labels;and 2)identifying and counting equidistant pixels/voxels from certain points of *** some domains(such as dataset classification,texture,and complexity analysis),the result of applying the EDT transform with different objects,and their respective tied distances,may compromise the *** this sense,we propose an efficient modification in the method presented in[1],which leads to a novel approach for computing the distance transform in a space with multiple objects,and for counting equidistant pixels/voxels.

关键词： Euclidean distance transform(EDT) multiple-labelled objects tied distances fractal analysis texture analysis

Eriobotrya japonica fruits and its by-products:A promising fruit with bioactive profile and trends in the food application–A bibliometric review

在线全文

学校读者我要写书评

暂无评论

Food Bioscience 2022年第6期50卷 1440-1449页

作者： Bruno Patricio Costa Mônica Ikeda Anely Maciel de Melo Fillemon Edyllin Silva Bambirra Alves Danielle Carpiné Rosemary Hoffmann Ribani Department of Chemical Engineering Federal University of ParanaCuritibaBrazil

Due to the researchers’pursuit for bioactive compounds to perform biological activities beneficial for human health,many plants species have been ***,loquat(Eriobotrya japonica),a subtropical plant originated in south-central China and is nowadays cultivated in more than 30 countries across the globe is drawing ***,its leaves and branches are processed into important pharmaceuticals while its fruit(pulp and peel)still remain insufficiently exploited being consumed mainly in *** aim of this work is to conduct a bibliometric survey throughout the Web of Science©(WOS)Main Collection and Dimensions database to highlight and correlate the research that has been carried out on this *** goals are to discover the extent of the research that has already been conducted,from which fields of knowledge the research has been approached,and understand the study trends that point toward future applications in the food *** the data obtained by the up-to-date bibliometric analysis was possible to verify that the plant has been well explored in the medicinal,chemical,and pharmaceutical sector,while the fruit,especially their seed and their starch has been highlighted in the medicinal field or food science but with no extensive industrial *** 112 papers were published regarding the loquat seeds and only 4 studied their by-products which are rich in bioactive compounds and therefore have great potential for food applications.

关键词： Seed Antioxidants Non-conventional starch Biodegradable films

Effects of porosity,dry unit weight,cement content and void/cement ratio on unconfined compressive strength of roof tile waste-silty soil mixtures

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Rock Mechanics and Geotechnical Engineering 2019年第2期11卷 369-378页

作者： Eclesielter Batista Moreira Jair Arrieta Baldovino Juliana Lundgren Rose Ronaldo Luis dos Santos Izzo Department of Civil Construction Federal University of Technology e ParanaCampus Curitiba

One of the conventional ways to improve the mechanical behavior of soils is to mix them with cementing agents such as cement, lime and fly ash. Recently, introduction to alternative materials or sub-products that can be adopted to improve the soil strength is of paramount importance. Therefore, the present study aims to investigate the effects of porosity(h), dry unit weight(gd) of molding, cement content(C)and porosity/volumetric cement content ratio(h/Civ) or void/cement ratio on the unconfined compressive strength(quor UCS) of silty soileroof tile waste(RT) mixtures. Soil samples are molded into four different dry unit weights(i.e. 13 kN/m^3, 13.67 kN/m^3, 14.33 kN/m^3 and 15 kN/m^3) using 3%, 6% and 9%cement and 5%, 15% and 30% RT. The results show that with the addition of cement, the strength of the RT esoil mixtures increases in a linear manner. On the other hand, the addition of RT decreases quof the samples at a constant percentage of cement, and the decrease in porosity can increase qu. A dosage equation is derived from the experimental data using the porosity/volumetric cement content ratio(h/C_(iv)) where the control variables are the moisture content, crushed tile content, cement content and porosity.

关键词： Roof tile waste (RT) Voids/cement ratio Reuse Ground improvement

Autonomous machine learning for early bot detection in the internet of things

在线全文

学校读者我要写书评

暂无评论

Digital Communications and Networks 2023年第6期9卷 1301-1309页

作者： Alex Medeiros Araujo Anderson Bergamini de Neira Michele Nogueira Department of Informatics Federal University of Parana(UFPR)CuritibaBrazil Department of Computer Science Federal University of Minas Gerais(UFMG)Belo HorizonteBrazil

The high costs incurred due to attacks and the increasing number of different devices in the Internet of Things(IoT)highlight the necessity of the early detection of botnets(i.e.,a network of infected devices)to gain an advantage against ***,early botnet detection is challenging because of continuous malware mutations,the adoption of sophisticated obfuscation techniques,and the massive volume of *** literature addresses botnet detection by modeling the behavior of malware spread,the classification of malicious traffic,and the analysis of traffic *** article details ANTE,a system for ANTicipating botnEt signals based on machine learning *** system adapts itself to different scenarios and detects different types of *** autonomously selects the most appropriate Machine Learning(ML)pipeline for each botnet and improves the classification before an attack effectively *** system evaluation follows trace-driven experiments and compares ANTE results to other relevant results from the literature over four representative datasets:ISOT HTTP Botnet,CTU-13,CICDDoS2019,and *** show an average detection accuracy of 99.06%and an average bot detection precision of 100%.

关键词： Network security Bot early detection Autonomous machine learning Network traffic analysis

A methodology for coffee price forecasting based on extreme learning machines

在线全文

学校读者我要写书评

暂无评论

Information Processing in Agriculture 2022年第4期9卷 556-565页

作者： Carolina Deina Matheus Henrique do Amaral Prates Carlos Henrique Rodrigues Alves Marcella Scoczynski Ribeiro Martins Flavio Trojan Sergio Luiz Stevan Jr Hugo Valadares Siqueira Department of Production Engineering Federal University of Rio Grande do Sul90.035-190Brazil Department of Electronics Federal University of TechnologyParana 84017-220Brazil Graduate Program in Production Engineering Federal University of TechnologyParana 84017-220Brazil

This work introduces a methodology to estimate coffee prices based on the use of Extreme Learning *** process is initiated by identifying the presence of nonstationary components,like seasonality and *** components are withdrawn if they are ***,the temporal lags are selected based on the response of the Partial Autocorre-lation Function *** predictors,we address the following models:Exponential Smooth-ing(ES),Autoregressive(AR)and Autoregressive Integrated and Moving Average(ARIMA)models,Multilayer Perceptron(MLP)and Extreme Learning Machines(ELMs)neural *** computational results based on three error metrics and two coffee types(Ara-bica and Robusta)showed that the neural networks,especially the ELM,can reach higher performance levels than the other *** methodology,which presents preprocess-ing stages,lag selection,and use of ELM,is a novelty that contributes to the coffee prices forecasting field.

关键词： Coffee price forecasting Linear models Artificial neural networks Computational intelligence

In vitro establishment of shoot meristems of Ilex paraguariensis and identification of endophytic bacteria

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Forestry Research 2019年第5期30卷 1765-1777页

作者： Jessica de Cassia Tomasi Juliana Degenhardt-Goldbach Renata Lucia Grunennvaldt Germana Davila dos Santos Vania Aparecida Vicente Luziane Franciscon Cleusa Bona Marguerite Quoirin Department of Crop Production and Protection Federal University of Parana1540 Rua dos Funciona′riosCuritibaPR 80035-060Brazil Brazilian Agricultural Research Corporation(EMBRAPA)Forestry ColomboPRBrazil Department of Basic Pathology Federal University of ParanaCuritibaBrazil Department of Botany Federal University of ParanaCuritibaBrazil

Yerba mate(Ilex paraguariensis ***.-Hil.)is a species of great economic,social and environmental importance for the southern regions of Brazil,Uruguay and *** the most diverse products are obtained from mate leaves,including mate *** objective of this study was to establish shoot meristem cultures(meristematic dome and a few primordia)of elite clones and identify the endophytic bacteria present in the *** tested the effect of clones(F1,F2,A03 and A07),culture media(MS,1/2MS,1/4MS and WPM),cytokinins(kinetin,BA and 2iP),activated charcoal(1,2 and 3 g L^-1),and disinfecting agent(sodium hypochlorite and mercuric chloride)on in vitro establishment.F1 and F2 clones were the most responsive for shoot meristem in vitro *** medium supplemented with 8.8 lM 2iP,0.2 lM NAA and 3 g L^-1 activated charcoal was the most suitable for the in vitro establishment of the F1 *** phytotoxic effect of the disinfectant was observed and some meristems *** isolated endophytic bacterium was identified for the first time in yerba mate as Agrobacterium *** conclude,we were able to establish in vitro culture of yerba mate using meristems as explants but the tissues were not free of endophytic microorganisms which could interfere with explant response.

关键词： Yerba mate Tissue culture 2iP Activated charcoal Endophytic bacteria Agrobacterium larrymoorei Oxidation

A Smart Deep Convolutional Neural Network for Real-Time Surface Inspection

在线全文

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2022年第5期41卷 583-593页

作者： Adriano G.Passos Tiago Cousseau Marco A.Luersen Department of Mechanical Engineering Federal University of TechnologyParanaCuritiba81280-340PRBrazil

A proper detection and classification of defects in steel sheets in real time have become a requirement for manufacturing these products,largely used in many industrial ***,computers used in the production line of small to medium size companies,in general,lack performance to attend real-time inspection with high processing *** this paper,a smart deep convolutional neural network for using in real-time surface inspection of steel rolling sheets is *** architecture is based on the state-of-the-art SqueezeNet approach,which was originally developed for usage with autonomous *** main features of the proposed model are:small size and low computational *** model is 10 to 20 times smaller when compared to other networks designed for the same task,and more than 700 times smaller than general ***,the number of floating-point operations for a prediction is about 50 times lower than the ones used for similar *** its small size,the proposed model achieved near-perfect accuracy on a public dataset of 1800 images of six types of steel rolling defects.

关键词： Deep learning surface defects classification steel rolling

Structural Optimization of Metal and Polymer Ore Conveyor Belt Rollers

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2022年第12期133卷 601-618页

作者： Joao Pedro Ceniz Rodrigo de Sá Martins Marco Antonio Luersen Tiago Cousseau Department of Mechanical Engineering Federal University of Technology-Parana(UTFPR)Curitiba81280-340Brazil

Ore conveyor belt rollers operate in harsh environments,making them prone to premature *** service lives are highly dependent on the stress field and bearing misalignment angle,for which limit values are defined in a *** this work,an optimization methodology using metamodels based on radial basis functions is implemented to reduce themass of twomodels of *** a structural point of view,one of the rollers ismade completely of metal,while the other also has some components made of polymeric *** objective of this study is to develop and apply a parametric structural optimization methodology to minimize the mass of the two models of *** represent the mechanical behavior of the rollers,simulations were performed using the finite element *** the numerical optimization process,the variable parameters were the dimensions of the shaft and external *** geometric configuration that corresponded at the same time to the lowest mass and acceptable ranges for the stress and bearingmisalignment angle was *** the proposed methodology,a 32.3% reduction in mass was obtained for a metal roller design and an 18.9% reduction for a polymer *** both cases,the constraints were not *** the all-metal roller,the safety factors for the maximum stress and bearingmisalignment angle were 1.44 and 1.75,respectively,while for the polymer roller the corresponding figures were 1.50 and *** work describes a low-computational-cost optimization methodology for roller designs that have been little studied in the ***,the methodology could be adapted for use with other types of rollers and rollers made of different materials.

关键词： Conveyor belt rollers structural optimization surrogate models radial basis functions

An invariant descriptor for conjugate forced convection-conduction cooling of 3D protruding heaters in channel flow

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Frontiers of Mechanical Engineering 2015年第3期10卷 263-276页

作者： Thiago ANTONINI ALVES Paulo H. D. SANTOS Murilo A. BARBUR Department of Mechanical Engineering Federal University ofTechnology Parana Brazil

In this research, the temperatures of three- dimensional （3D） protruding heaters mounted on a conductive substrate in a horizontal rectangular channel with laminar airflow are related to the independent power dissipation in each heater by using a matrix G＋ with invariant coefficients, which are dimensionless. These coefficients are defined in this study as the conjugate influence coefficients （g＋） caused by the forced convec- tion-conduction nature of the heaters＇ cooling process. The temperature increase of each heater in the channel is quantified to clearly identify the contributions attributed to the self-heating and power dissipation in the other heaters （both upstream and downstream）. The conjugate coefficients are invariant with the heat generation rate in the array of heaters when assuming a defined geometry, invariable fluid and flow rate, and constant substrate and heater conductivities. The results are numerically obtained by considering three 3D protruding heaters on a twodimensional （2D） array by ANSYS/FluentTM 15.0 software. The conservation equations are solved by a coupled procedure within a single calculation domain comprising of solid and fluid regions and by considering a steady state laminar airflow with constant properties. Some examples are shown, indicating the effects of substrate thermal conductivity and Reynolds number on conjugate influence coefficients.

关键词： channel flow conjugate forced convection-conduction cooling conjugate influence coefficients dis-crete heating invariant descriptor thermal management