Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparaςão de Metodologias para Análise Estática do Efeito do Vento em Linhas de Transmissão

Este artigo apresenta comparacoes entre esforcos solicitantes estaticos devidas a acao do vento em uma torre de transmissao, obtidos utilizado-se duas metodologias diferentes. A primeira metodologia segue as recomendacoes da norma brasileira NBR 5422, frequentemente usada no dimensionamento de torres de transmissao no Brasil, com o modelo estrutural constituido apenas da torre. Neste modelo simplificado tambem foram avaliadas as forcas devidas ao vento conforme as prescricoes da norma NBR 6123. A segunda metodologia utilizada para a determinacao dos esforcos provenientes do vento consiste na aplicacao direta de pressao sobre a torre e sobre os cabos, com base nas velocidades de vento de referencia e com os cabos e isoladores integrando o sistema estrutural. Em ambas as metodologias foram aplicados todos os fatores de caracterizacao de topografia correspondentes a regiao na qual a torre em estudo se localiza. Para a obtencao dos esforcos solicitantes provenientes dos carregamentos de vento foram construidos modelos tridimensionais atraves do metodo dos elementos finitos, contemplando analise nao-linear geometrica dos cabos e de toda a estrutura. Os resultados mostraram que os esforcos solicitantes devidos a atuacao de forcas de vento conforme a norma 6123 sao superiores em 46% em relacao aos obtidos com a norma 5422, principalmente devido as forcas nos cabos e periodos de integracao sugeridos por esta norma. O modelo completo, quando comparado ao modelo simplificado, apresentou esforcos solicitantes superiores. Alem disso, permitiu a avaliacao de solicitacoes oriundas de disposicoes geometricas do sistema, incluindo carregamentos nos vaos assimetricos de cabos adjacentes, Tais fatos indicam a necessidade de revisao dos procedimentos atuais utilizados para calculo das estruturas de torres de transmissao.
Thermally developed Falkner–Skan bioconvection flow of a magnetized nanofluid in the presence of a motile gyrotactic microorganism: Buongiorno’s nanofluid model

The current work examines the heat and mass transfer phenomenon for time-dependent magnetohydrodynamic (MHD) flow of Williamson nanofluid in the presence of a motile gyrotactic microorganism. The energy equation is remodeled by interpolating radiation effects. The flow is actuated by a wedge which is assumed to be porous. The physical formulation for both static and moving are taken into account. Various physical and geometrical conditions have been included to yield more effective results. The original flow equations are converted into ordinary differential equations by using similarity functions. The numerical solution for these transmuted equations has been established by using the shooting technique. Various aspects of involved physical quantities like velocity, temperature, nanoparticle concentration, motile microorganism density, wall shear stress, effective local Nusselt number, and motile organism density number are discussed and sketched in view of different emerging parameters. The bioconvection induced by the microorganisms stabilized the nanoparticles, which resulted in efficient thermal distribution. A convincible accuracy of achieved results has been reported when compared with existing literature. The present theoretical computation may be beneficial in manufacturing processes, the enhancement of transport of energy, and heat resources.
Facial landmark detection in real-time with correlation filtering

An algorithm for facial landmark detection based on template matched filtering is presented. The algorithm is able to detect and estimate the position of a set of prespecified landmarks by employing a bank of linear filters. Each filter in the bank is trained to detect a single landmark that is located in a small region of the input face image. The filter bank is implemented in parallel on a graphics processing unit to perform facial landmark detection in real-time. Computer simulation results obtained with the proposed algorithm are presented and discussed in terms of detection rate, accuracy of landmark location estimation, and real-time efficiency.
Pengenalan Plat Nomor Polisi Kendaraan Bermotor

PENGENALAN PLAT NOMOR POLISI KENDARAAN BERMOTOR ABSTRAK Penelitian ini bertujuan membuat sistem yang dapat mengenali karakter pada plat nomor polisi kendaraan yang terdapat pada citra digital. Sampel yang digunakan sebanyak 50 citra uji terdiri atas 25 citra kendaraan pribadi dengan warna dasar plat hitam tulisan putih, 10 citra kendaraan dinas pemerintah dengan warna dasar plat merah tulisan putih, dan 15 citra angkutan umum dengan wara dasar plat kuning tulisan hitam. Adapun Penelitian ini dilakukan melalui beberapa tahap, yaitu (1) Pengolahan Citra, untuk mempersiapkan citra dan mengambil fitur – fitur penting yang akan digunakan pada tahap - tahap selanjutnya (2) Penentuan Region of Interest (ROI) yaitu penentuan posisi plat nomor dalam citra, (3) Segmentasi Karakter yaitu membagi citra plat nomor menjadi citra yang memuat satu karakter, dan (3) pengenalan karakter yaitu mencocokkan karakter yang dicari dengan karakter referensi untuk dikenali. Hasil penelitian menunjukkan bahwa sistem dapat mengenali karakter pada plat nomor polisi kendaraan bermotor untuk ketiga jenis plat nomor dengan persentase rata-rata sebesar 79,43%. Kata kunci: Citra, pengenalan, plat nomor polisi MOTORIZED VEHICLE POLICE NUMBER PLATE RECOGNITION ABSTRACT ` The research is aimed to create one system in recognize the characteristic of the motor vehicle plate number that has digital image. The number of samples used was 50 test image consisted of 25 private vehicle images with written white numbers on the black base plate, 10 govemment vehicle image with written white numbers on the red base plate and 15 public vehicle images with black written numbers on the yellow base plate. The research undenrwent several stages :( 1) Image processing to prepare image and get the important features to be used for next stages (2) Determining Region of Interest (ROl), determining plate position in image, (3) Character segmentation, dividing plate number image which can only accomodate one character ; and (4)Character recognition, character verification that is sought with reference character to be recognized. The results indicatet hat the system can recognize the characters on the motor vehicle police plate number for the three types of the plate numbers with the average percentage 79,43%. Keywords: Image, recognition, police plate number
Design and Implementation of an Efficient Framework for Web Page Classification

With an evolution of Internet and related technologies, there is a great need of an efficient web page categorization for getting the fast response with respect to searching and classification of various documents on the web. Due to large number of user’s request, there may be a performance bottleneck during searching and classification of web documents with respect to various QoS parameters such as response time and congestion. Classification helps in searching, sorting, retrieval, and querying of various documents. World Wide Web (WWW) contains huge repository of information in the form of web pages. But, size of Internet is growing day-by-day which results an efficient classification of different web pages to achieve higher accuracy. The huge repository of information poses challenge to collect and process the relevant related information of a particular domain. Most of the solutions reported in the literature are not adequate to address above issues for getting a fast response time with respect to web page categorization. Also, most of the existing techniques reported in the literature are semi-automatic. Using these techniques, higher level of accuracy cannot be achieved. So, traditional text classification techniques are difficult to apply on the rapidly growing web-based contents. Moreover, manual categorization of these billions of web pages to achieve high accuracy is a cumbersome and tough task. To address these issues, in this thesis, novel techniques for web page categorization are proposed. In these techniques, personality features are collected and assigned weights. Then, the proposed classifiers are trained based on these special features. The proposed techniques are based on the identification of specific
INFLUENCE OF EL NINOS ON CALIFORNIA'S WAVE CLIMATE

Waves with exceptional height and periods caused severe damage along the coast of California in 1982-83. Because these large wave events coincided with a strong El Nino-Southern Oscillation (ENSO) climatic anomaly, which occurs 20-25 times per century, there was interest in determining if the extreme waves resulted from the ENSO or its related features. The meteorological setting featured a very large and intense low pressure zone over the north-central Pacific. Associated with this Pacific-wide pattern, a series of large mid-latitude storms developed at about weekly intervals and produced exceptionally long fetchs directed at the California Coast. Two time series of extreme wave events, using buoy data after 1981 and hindcasts before, were used covering the period from 1900 to 1984. One series considered waves with significant heights greater than 3 m (10 ft) and the second for those greater than 6 m (20 ft.) These were compared with a time history of ENSOs for the same period. A strong association was established between northern hemisphere winters during ENSO years and large wave events in Southern California. Strong ENSO winters had the largest storm waves, moderate ENSOs less intense waves, and weak ENSOs tended not to have storm waves greater than the threshold value used in this study. The correlation between large waves and ENSO years is significant at the 1% level. The correlation between lack of large waves and non-ENSO years is significant at the 0.5% level. Because of the great southerly extent of the most energetic storms, a large number of energetic wave trains approach the coast from the west, rather than the northwest, as previously assumed by many. ENSO winters are responsible for producing all of the wave events in this study with both heights greater than 6 m and periods of peak energy longer than 19 seconds. Five out of nine eastern Pacific tropical storms making landfalls on California in the 85 year period occurred during the late northern summer of ENSO years.
Marine sampling field manual for pelagic stereo BRUVS (Baited Remote Underwater Videos)

Chapter citation: Bouchet P, Meeuwig J, Huveneers C, Langlois T, Letessier T, Lowry M, Rees M, Santana-Garcon J, Scott M, Taylor M, Thompson C, Vigliola L, Whitmarsh S. 2018. Marine sampling field manual for pelagic BRUVS (Baited Remote Underwater Videos). In Field Manuals for Marine Sampling to Monitor Australian Waters, Przeslawski R, Foster S (Eds). National Environmental Science Programme (NESP). pp. 105-132.
Stability Analysis of Aperiodic Sampled-Data Systems: A Switched Polytopic System Method

Stability of aperiodic sampled-data systems is investigated in this brief. A sampling interval discretization method is proposed to transform an aperiodic sampled-data system into a discrete-time switched polytopic system with help of the convex approximation technique. Using a high order time-scheduled switched homogeneous Lyapunov function (TSSHLF), a necessary and sufficient stability condition for the discrete-time switched polytopic system is proposed and presented in terms of linear matrix inequality (LMI). On the basis of this result, a sufficient stability criterion for the aperiodic sampled-data system is obtained. Finally, numerical examples are given to confirm the effectiveness of the proposed method and significant improvements over some existing ones.
Steady and unsteady 2D numerical solution of generalized Newtonian fluids flow

This article presents the numerical solution of laminar incompressible viscous flow in a branching channel for generalized Newtonian fluids. The governing system of equations is based on the system of balance laws for mass and momentum. The generalized Newtonian fluids differ through choice of a viscosity function. A power-law model with different values of power-law index is used. Numerical solution of the described models is based on cell-centered finite volume method using explicit Runge– Kutta time integration. The unsteady system of equations with steady boundary conditions is solved by finite volume method. Steady state solution is achieved for t → ∞. In this case the artificial compressibility method can be applied. For the time integration an explicit multistage Runge–Kutta method of the second order of accuracy in the time is used. In the case of unsteady computation two numerical methods are considered, artificial compressibility method and dual-time stepping method. The flow is modelled in a bounded computational domain. Numerical results obtained by this method are presented and compared.
Study of vacuum arc behavior under anode spot and anode plume modes

Anode spot (AS) and anode plume (AP) phenomena are widely observed in vacuum arc experiments and are related to anode melting and evaporation under strong heating from the arc column. Anode vapor will then strongly influence the arc column through ionization-recombination and energy exchange among atoms, ions, and electrons. This work investigated the characteristics of the vacuum arc with AS or AP using the two-dimensional magnetohydro dynamic model. Formation of the AS and AP modes was studied and analyzed using numerical simulation. Friction forces between ions and atoms were also taken into account. Simulation results show that anode vapor expansion depends on the pressure balance between the anode jet and cathode plasma. Higher anode temperature produces a larger neutral atom vapor area (NAVA), which was dominated by neutral atoms. Inside the NAVA, ion and electron temperatures were low in the AS and AP mode due to ionization and energy exchange. Electric conductivity in this area was also so low that the location of the maximal current density was near the edge of the anode instead of the anode center. The asymmetric appearance of an AP was mainly caused by the asymmetric anode temperature distribution with respect to the AS center. Qualitative comparisons show that the simulation results are consistent with the experimental results.Anode spot (AS) and anode plume (AP) phenomena are widely observed in vacuum arc experiments and are related to anode melting and evaporation under strong heating from the arc column. Anode vapor will then strongly influence the arc column through ionization-recombination and energy exchange among atoms, ions, and electrons. This work investigated the characteristics of the vacuum arc with AS or AP using the two-dimensional magnetohydro dynamic model. Formation of the AS and AP modes was studied and analyzed using numerical simulation. Friction forces between ions and atoms were also taken into account. Simulation results show that anode vapor expansion depends on the pressure balance between the anode jet and cathode plasma. Higher anode temperature produces a larger neutral atom vapor area (NAVA), which was dominated by neutral atoms. Inside the NAVA, ion and electron temperatures were low in the AS and AP mode due to ionization and energy exchange. Electric conductivity in this area was also so low tha.
Resiliência em redes definidas por software através de replicação

Redes definidas por software (Software Defined Networking ou SDN) e um novo paradigma para o desenvolvimento de aplicacoes inovadoras de gestao de redes e uma nova forma de olhar para a resolucao de muitos problemas que existem em toda a Internet hoje. A arquitetura mais popular para a implantacao deste paradigma e o gerenciamento de rede centralizado, uma vez que o seu uso permite simplificar a tarefa complexa e dificil de controlar os servicos de uma rede. Um dos problemas levantados pela abordagem de controle centralizado e amplamente discutido na literatura e a questao de falha em um unico ponto da rede, que pode comprometer negativamente o funcionamento de toda ela. Um metodo comprovado para alcancar um maior nivel de tolerância a falhas e a utilizacao da tecnica de replicacao. O objetivo deste trabalho e dividido em tres partes: (1) comparar diferentes tecnicas de replicacao, (2) verificar como cada uma desempenha a tarefa de proporcionar resiliencia a uma SDN, e (3) investigar qual tecnica e a mais adequada para diferentes cenarios. Tecnicas de replicacao sao principalmente classificadas em dois tipos: de replicacao passiva e ativa. Este trabalho e um dos primeiros a tratar este problema. Para fins de prova-de-conceito, os mecanismos de replicacao implementados funcionam para redes com um switch habilitado para o protocolo SDN. Nossos resultados mostram que a replicacao e uma forma adequada para aumentar a resiliencia em uma SDN e construir estes servicos para redes utilizando SDN e muito menos complexo e simples.
Integral Privacy for Sampling.

Differential privacy is a leading protection setting, focused by design on individual privacy. Many applications, in medical / pharmaceutical domains or social networks, rather posit privacy at a group level, a setting we call integral privacy. We aim for the strongest form of privacy: the group size is in particular not known in advance. We study a problem with related applications in domains cited above that have recently met with substantial recent press: sampling. Keeping correct utility levels in such a strong model of statistical indistinguishability looks difficult to be achieved with the usual differential privacy toolbox because it would typically scale in the worst case the sensitivity by the sample size and so the noise variance by up to its square. We introduce a trick specific to sampling that bypasses the sensitivity analysis. Privacy enforces an information theoretic barrier on approximation, and we show how to reach this barrier with guarantees on the approximation of the target non private density. We do so using a recent approach to non private density estimation relying on the original boosting theory, learning the sufficient statistics of an exponential family with classifiers. Approximation guarantees cover the mode capture problem. In the context of learning, the sampling problem is particularly important: because integral privacy enjoys the same closure under post-processing as differential privacy does, any algorithm using integrally privacy sampled data would result in an output equally integrally private. We also show that this brings fairness guarantees on post-processing that would eventually elude classical differential privacy: any decision process has bounded data-dependent bias when the data is integrally privately sampled. Experimental results against private kernel density estimation and private GANs displays the quality of our results.
Scalp EEG quantitative analysis : automated real-time detection and prediction of epileptic seizures

As a chronic neurological disorder, epilepsy is associated with recurrent, unprovoked epileptic seizures resulting from a sudden disturbance of brain function. Long-term monitoring of epileptic patients’ Electroencephalogram (EEG) is often needed for diagnosis of seizures, which is tedious, expensive, and time-consuming. Also, clinical staff may not identify the seizure early enough to determine the semiology at the onset. This motivates EEG-based automated real-time detection of seizures. Apart from their possible severe side effects, common treatments for epilepsy (medication and surgery) fail to satisfactorily control seizures in ∼25% of patients. EEG-based seizure prediction systems would significantly enhance the chance of controlling/aborting seizures and improve safety and quality of life for patients. This thesis proposes novel EEG-based patient-specific techniques for real-time detection and prediction of epileptic seizures and also presents a pilot study of scalp EEGs acquired in a unique low-noise underground environment. The proposed detection method is based on the wavelet packet analysis of EEG. A novel index, termed the combined seizure index, is introduced which is sensitive to both the rhythmicity and relative energy of the EEG in a given channel and considers the consistency among different channels at the same time. This index is monitored by a cumulative sum procedure in each channel. This channel-based information is then used to generate the final seizure alarm. In this thesis, a prediction method based on a variational Bayesian Gaussian mixture model of the EEG positive zero-crossing intervals is proposed. Novel indices of similarity and dissimilarity are introduced to compare current observations with the preictal and interictal references and monitor the changes for each channel. Information from individual channels is finally combined to trigger an alarm
Entropy Generation and Thermoelastic Damping in the In-plane Vibration of Microring Resonators

Thermoelastic damping is a critical issue for designing very high quality factor microresonators. This paper derives the entropy generation, associated with the irreversibility in heat conduction, that is used for ring resonators in in-plane vibration and presents an analytical model of thermoelastic damping according to heat increments calculated by entropy theory. We consider the heat flow only in radial thickness of the ring and obtain a complex temperature field that is out of phase with the mechanical stress. The thermoelastic dissipation is calculated in the perspective of heat increments that appear due to entropy generation. The analytical model is validated by comparing with an LR (Lifshitz and Roukes) model, finite-element method and measurement. The accuracy of the present model is found to be very high for different ambient temperatures and structures. The effects of structure dimensions and vibration frequencies on entropy generation and thermoelastic damping is investigated for ring resonators under in-plane vibration.
Modelling and automating business intelligence services

Business intelligence (BI) includes many tools, techniques and technologies. Organizations build data warehouses and data marts. Various reporting, OLAP (online analytical processing), dashboards and data mining tools are used. Data is extracted, transformed, loaded and analyzed to get insights. BI processes involve team of human decision makers and end-users to extract, explore and analyse the data. The results, decisions or models after analysis need to be implemented into operational systems. There can be considerable time delay between business events happening and action taken thus loosing opportunities. With emergence of service oriented architecture, BI also needs to be automated and delivered through services. We represent a service based approach to BI, where a service corresponds to a well defined analytical functionality. Each service is configurable and customizable, modelled using intelligent technique(s) accessing only relevant data from database specifically designed for such tasks. We discuss an application of the same for a value-added service in mobile domain.