Academic literature on the topic 'Park Vector Approach'
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Journal articles on the topic "Park Vector Approach"
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Ferrero, A., S. Leva, and A. P. Morando. "An approach to the non-active power concept in terms of the poynting-park vector." European Transactions on Electrical Power 11, no. 5 (September 2001): 291–99. http://dx.doi.org/10.1002/etep.4450110503.
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Corne, Bram, Bram Vervisch, Stijn Derammelaere, Jos Knockaert, and Jan Desmet. "The reflection of evolving bearing faults in the stator current’s extended park vector approach for induction machines." Mechanical Systems and Signal Processing 107 (July 2018): 168–82. http://dx.doi.org/10.1016/j.ymssp.2017.12.010.
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Jačková, Kateřina, and Dušan Romportl. "The Relationship Between Geodiversity and Habitat Richness in Šumava National Park and Křivoklátsko PLA (Czech Republic): A Quantitative Analysis Approach." Journal of Landscape Ecology 1, no. 1 (January 1, 2008): 23–38. http://dx.doi.org/10.2478/v10285-012-0003-6.
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The Relationship Between Geodiversity and Habitat Richness in Šumava National Park and Křivoklátsko PLA (Czech Republic): A Quantitative Analysis Approach This paper focuses on the development of a quantitative method for evaluating the relationship between abiotic heterogeneity and habitat richness at the landscape level. The study took place in the Křivoklátsko protected landscape area and Šumava national park (Czech Republic). Our initial hypothesis was that habitat richness should be high in areas with high abiotic heterogeneity, and vice versa. GIS vector layers of habitat were used for the formulation of habitat richness. A geological layer, a digital terrain model and hydrographic layers were used to determine abiotic heterogeneity. The study areas were overlain by a grid square and habitat richness and abiotic heterogeneity were assessed in each study cell. The data obtained were used in a statistical model (multiple spatial linear regression, with maximum credibility). The results of the statistical model indicated a significant influence of abiotic heterogeneity on habitat richness.
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KLYUCHNIKOV, Anatoly T. "A Speed Observer for Sensorless Control of an Induction Motor." Elektrichestvo 2, no. 2 (2021): 54–59. http://dx.doi.org/10.24160/0013-5380-2021-2-54-59.
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Half a century has passed since the time F. Blaschke received a patent for vector control of an induction motor with a speed sensor and a Hall sensor. Since that time, the transformation of generalized vectors in the Park—Gorev equations as projections on the axes in different coordinate frames aft, dq, and xy has been regarded to be a commonly accepted one. With this approach, five differential and four algebraic equations with cross-links have to be solved for studying the processes in an induction motor, which involves certain inconvenience of analyzing the processes in the machine. Eventually, many versions of high-quality electric motor control systems have been developed. Owing to the progress achieved in computer engineering, it has become possible to solve a fewer number of the Park—Gorev equations in complex form without decomposing the vectors into projections on the coordinate ases aft, dq, xy. At present, the majority of widely used programming languages (FORTRAN, C+, MathCAD, MatLAB, etc.) offer efficient tools for implementing the operations of summing and multiplying complex quantities. In the article, the Park-Gorev equations are solved without decomposing the vectors into their projections on the coordinate axes вб, dq, xy. In so doing, the induction motor complex speed observer uses only two voltage equations and two flux linkage equations. The rotor motion equation is not used to determine the speed. The obtained algorithms for solving by means of a complex speed observer made it possible to determine the currents, electromagnetic torque and motor’s moment of inertia. The proposed algorithms written in the б-в and x-y coordinate systems made it possible to determine the motor speed in its fast start-up process (0.2 s) with an error of less than 1%.
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Rijal, Seftiawan Samsu, Tien Dat Pham, Salma Noer ‘Aulia, Muhammad Ikbal Putera, and Neil Saintilan. "Mapping Mangrove Above-Ground Carbon Using Multi-Source Remote Sensing Data and Machine Learning Approach in Loh Buaya, Komodo National Park, Indonesia." Forests 14, no. 1 (January 4, 2023): 94. http://dx.doi.org/10.3390/f14010094.
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Mangrove forests provide numerous valuable ecosystem services and can sequester a large volume of carbon that can help mitigate climate change impacts. Modeling mangrove carbon with robust and valid approaches is crucial to better understanding existing conditions. The study aims to estimate mangrove Above-Ground Carbon (AGC) at Loh Buaya located in the Komodo National Park (Indonesia) using novel Extreme Gradient Boosting (XGB) and Genetic Algorithm (GA) analyses integrating multiple sources of remote sensing (optical, Synthetic Aperture Radar (SAR), and Digital Elevation Model (DEM)) data. Several steps were conducted to assess the model’s accuracy, starting with a field survey of 50 sampling plots, processing the images, selecting the variables, and examining the appropriate machine learning (ML) models. The effectiveness of the proposed XGB-GA was assessed via comparison with other well-known ML techniques, i.e., the Random Forest (RF) and the Support Vector Machine (SVM) models. Our results show that the hybrid XGB-GA model yielded the best results (R2 = 0.857 in the training and R2 = 0.758 in the testing phase). The proposed hybrid model optimized by the GA consisted of six spectral bands and five vegetation indices generated from Sentinel 2B together with a national DEM that had an RMSE = 15.40 Mg C ha−1 and outperformed other ML models for quantifying mangrove AGC. The XGB-GA model estimated mangrove AGC ranging from 2.52 to 123.89 Mg C ha−1 (with an average of 57.16 Mg C ha−1). Our findings contribute an innovative method, which is fast and reliable using open-source data and software. Multisource remotely sensed data combined with advanced machine learning techniques can potentially be used to estimate AGC in tropical mangrove ecosystems worldwide.
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Rahmatullah, Rohullah, Necibe Fusun Oyman Serteller, and Vedat Topuz. "Modeling and Simulation of Faulty Induction Motor in DQ Reference Frame Using MATLAB/SIMULINK with MATLAB/GUIDE for Educational Purpose." International Journal of Education and Information Technologies 17 (March 13, 2023): 7–20. http://dx.doi.org/10.46300/9109.2023.17.2.
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Owing to their robust structure, induction motors are preferred to be used under difficult working conditions. Therefore, various faults may occur in the motor due to unexpected forces during the operations. Obtaining the data through experimental methods by physically creating faults in the induction motors, and analyzing their behavior is not efficient in terms of cost and time for educational purposes. Considering the above negative situation, in this paper, mathematical models have been developed in the dq0 stationary reference frame expressing three-phase stator windings short-circuit fault and broken rotor bar fault in induction motors. The proposed models are faster as compared to the other analytical models in terms of computation due to the rotor position independence of the inductance matrix. The faulty induction motor mathematical models have been implemented in the MATLAB/SIMULINK software environment with detailed explanations of each faulty model’s subsystem. As a visual laboratory that can be used as an educational tool for the analysis of a three-phase faulty induction motor, a graphical user interface application has been developed in MATLAB/GUIDE, which allows users to simulate models from a single interface. As a case study, the behaviors of faulty induction motors in transient and steady states have been simulated in different severity scenarios of the faults. The park vector method has been used as a fault diagnosis approach to investigate fault types and the fault severity effects on the park vector pattern in each fault scenario. In addition, to observe the success of the developed Simulink toolboxes, they were used at Marmara University through courses in electrical machinery and evaluated by the graduated students at the end of the semester.
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Yuan, Jinlong, Yunbin Wu, Zhifeng Shu, Lian Su, Dawei Tang, Yuanjian Yang, Jingjing Dong, Saifen Yu, Zhen Zhang, and Haiyun Xia. "Real-Time Synchronous 3-D Detection of Air Pollution and Wind Using a Solo Coherent Doppler Wind Lidar." Remote Sensing 14, no. 12 (June 11, 2022): 2809. http://dx.doi.org/10.3390/rs14122809.
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The monitoring and tracking of urban air pollution is a challenging environmental issue. The approach of synchronous 3-D detection of wind and pollution using a solo coherent Doppler wind lidar (CDWL) is developed and demonstrated. The 3-D distribution of pollutant is depicted by the backscatter coefficient based on signal intensity of CDWL. Then, a high-resolution wind field is derived to track the local air pollution source with its diffusion and to analyze transboundary air pollution episodes. The approach is experimentally implemented in a chemical industry park. Smoke plumes caused by point source pollutions are captured well using plan position indicator (PPI) scanning with low elevation. A typical source of pollution is located, combining the trajectory of the smoke plume and the horizontal wind vector. In addition, transboundary air pollution caused by the transport of dust storms is detected in a vertical profile scanning pattern, which is consistent with the results of national monitoring stations and backward trajectory models. Our present work provides a significant 3-D detection approach to air pollution monitoring with its sources, paths, and heights by using a solo-CDWL system.
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Soufi, Youcef, Tahar Bahi, H. Merabet, and S. Lekhchine. "Short Circuit between Turns in Stator Winding of Induction Machine Fault Detection and Diagnosis." Applied Mechanics and Materials 416-417 (September 2013): 565–71. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.565.
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The induction motor is one of the most used electric machines in variable speed system in the different field of industry due to its robustness, mechanical strength and low cost. Despite these qualities, the induction machine is subjected during its operation to a number of constraints of various natures (electrical, mechanical and environmental). This paper focuses on the diagnosis and the detection of the short circuit fault between turns in the stator winding of an induction machine, based on analyzing the evolution of the stator current in each stator phase, using tools based both on motor current spectral analysis and Park vector approach. A study by simulation was presented. The obtained results show that the considered methods can effectively diagnose and detect abnormal operating conditions in induction motor applications. Therefore, they clearly show the possibility of extracting signatures and the application of these techniques offered reliable and satisfactory results for the diagnosis and detection of such fault.
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de Sousa, Matheus Martins, Osvaldo Moura Rezende, Ana Caroline Pitzer Jacob, Luiza Batista de França Ribeiro, Paula Morais Canedo de Magalhães, Gladys Maquera, and Marcelo Gomes Miguez. "Flood Risk Assessment Index for Urban Mobility with the Aid of Quasi-2d Flood Model Applied to an Industrial Park in São Paulo, Brazil." Infrastructures 7, no. 11 (November 18, 2022): 158. http://dx.doi.org/10.3390/infrastructures7110158.
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Risk can be defined as the relationship between the likelihood of a hazard causing a potential disaster and its consequences. This study aims to assess the likelihood that a new industrial region, located in the state of São Paulo (Brazil), will be flooded, causing the disruption of the mobility system and local economic activities. To fulfill this aim, a new approach is proposed by combining the vector information of the highway network that serves the region with the result of a quasi 2-D raster flood model, generating a set of interpreting rules for classifying the safety of routes. The model called MODCEL is a quasi-2D hydrodynamic model that represents the watershed using compartments called cells, and it was adapted to work using a raster file format in which each pixel is represented as a flow cell connected to its surroundings by the Saint-Venant equations without the inertia terms. Therefore, this study proposes an assessment framework that can be replicated for similar problems of flood risks to mobility. The possible effects of flood events on the accessibility to areas of interest are determined, indicating a possible disruption to economic activities and transportation and allowing for planning alternatives in advance.
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Herrero, Southworth, Bunting, Kohlhaas, and Child. "Integrating Surface-Based Temperature and Vegetation Abundance Estimates into Land Cover Classifications for Conservation Efforts in Savanna Landscapes." Sensors 19, no. 16 (August 7, 2019): 3456. http://dx.doi.org/10.3390/s19163456.
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Southern African savannas are an important dryland ecosystem, as they account for up to 54% of the landscape, support a rich variety of biodiversity, and are areas of key landscape change. This paper aims to address the challenges of studying this highly gradient landscape with a grass–shrub–tree continuum. This study takes place in South Luangwa National Park (SLNP) in eastern Zambia. Discretely classifying land cover in savannas is notoriously difficult because vegetation species and structural groups may be very similar, giving off nearly indistinguishable spectral signatures. A support vector machine classification was tested and it produced an accuracy of only 34.48%. Therefore, we took a novel continuous approach in evaluating this change by coupling in situ data with Landsat-level normalized difference vegetation index data (NDVI, as a proxy for vegetation abundance) and blackbody surface temperature (BBST) data into a rule-based classification for November 2015 (wet season) that was 79.31% accurate. The resultant rule-based classification was used to extract mean Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI values by season over time from 2000 to 2016. This showed a distinct separation between each of the classes consistently over time, with woodland having the highest NDVI, followed by shrubland and then grassland, but an overall decrease in NDVI over time in all three classes. These changes may be due to a combination of precipitation, herbivory, fire, and humans. This study highlights the usefulness of a continuous time-series-based approach, which specifically integrates surface temperature and vegetation abundance-based NDVI data into a study of land cover and vegetation health for savanna landscapes, which will be useful for park managers and conservationists globally.
Dissertations / Theses on the topic "Park Vector Approach"
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Bilal, Habachi. "Diagnostic des systèmes de production de l’énergie Hybride Générateur/Mode moteur." Electronic Thesis or Diss., Corte, 2022. http://www.theses.fr/2022CORT0010.
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La sophistication et la multiplication des systèmes de production de l'énergie électrique de nos jours, caractérisent les évolutions technologiques ainsi que celles des sociétés humaines. L'énergie électrique provenant des systèmes de production est un facteur essentiel pour le développement et l’amélioration des conditions de vie et des activités industrielles. Dans les systèmes de production de l'énergie électrique, comme dans le domaine des entraînements électriques, pouvant fonctionner à vitesse variable, la machine asynchrone à double alimentation (MADA) occupe de plus en plus de place. Cette machine est particulièrement appréciée car elle offre des avantages par rapport aux autres types de machines électriques comme la fiabilité, la robustesse et un coût moins élevé. C'est ce type de machine qui est monté dans la plupart des éoliennes actuelles.Cependant, malgré les avantages de cette machine, elle n'est pas à l'abri de défaillances. Ces dernières, les plus courantes, sont répertoriées comme suit : a) le court-circuit sur les enroulements statoriques et rotoriques, b) les cassures des barres du rotor, c) les défauts des roulements, d) les défauts d'excentricité de l'entre fer. Dans le cadre de la maintenance, ces types de défauts doivent être détectés à l'état naissant et être localisés, car ils risquent d'engendrer des coûts de maintenance élevés, des arrêts de production et des dégradations importantes du système.Le diagnostic d'un tel système incite les laboratoires de recherches aussi bien industriels que académiques, à mettre au point des dispositifs de surveillance performants. Plusieurs méthodes ont été étudiées dans ce domaine, afin de pouvoir réagir au plus vite et éviter une aggravation nuisible des défauts. Le but, étant d'assurer le fonctionnement du système, la production de l'énergie électrique et la diminution des coûts de maintenance. Ces études sont toujours d'actualité dans les différents centres de recherches.Ce manuscrit de thèse présente de nouvelles méthodologies de diagnostic de défauts de court-circuit entre spires dans l'enroulement statorique d'une MADA. Ces approches peuvent être développées à base d'un modèle ou issues des évolutions des amplitudes des composantes en harmoniques du signal vibratoire ou encore provenant de l'analyse des grandeurs caractéristiques de la forme géométrique des courants suivant les taux de court-circuit. Les grandeurs physiques exploitées sont les vibrations (seulement pour le cas expérimental) et les courants (cas théorique et expérimental). L'exploitation des méthodes présentées recourent à des techniques classiques comme la Transformée de Fourier (T.F) et l'Approche Vectorielle de Park (AVP). La T.F est utilisée afin d'observer l'évolution spectrale des harmoniques et plus particulièrement de leur amplitude. Ensuite, l'AVP est utilisée pour exploiter les grandeurs caractéristiques de la forme géométrique des courants. La MADA est modélisée analytiquement par le modèle des circuits à couplages multiples. Les approches proposées dans ce travail ont été simulées sur Matlab, puis validées sur un dispositif réel exploitant une machine asynchrone à rotor bobiné de 0,3kW. La MADA étudiée peut présenter un taux de court-circuit entre spires de 2,5%, 5%, 10%, 20%, 30% à 40% sur une phase (phase A)Nowadays, the sophistication and the multiplication of electrical power systems, characterize technological and human society evolutions. Electrical energy from production systems is an essential factor for the development and improvement of living conditions and industrial activities. In electric power systems, as in the field of electric drives, which can be operated at variable speed, the Doubly Fed Induction machine (DFIM) occupies more and more space. This machine is particularly appreciated because it offers advantages over other types of electric machines such as reliability, robustness, and lower cost. It is this type of machine that is used in most current wind turbines.However, despite the advantages of this machine, it is not immune to failures. The most common ones are listed as follows: a) short circuit on stator and rotor windings, b) rotor bar breaks, c) bearing faults, d) eccentricity faults of the iron gap. In the case of maintenance, these types of defects must be detected in their early stages and located, because they can lead to high maintenance costs, production downtime and significant degradation.The diagnosis of such system encourages researches in laboratories, both industrial and academic, to develop effective monitoring devices. Many methods have been studied in this field, in order to be able to react as soon as possible and to avoid a harmful aggravation of defects. The aim is to ensure operation of the system, production of electrical energy and reduction of maintenance costs. These studies are still ongoing in the various research centers.This manuscript presents new methodologies to diagnose short circuit faults between turns in stator winding of a DFIM. These developed approaches are based on a model or from amplitudes of harmonic components of vibratory signal or from characteristics of geometric shape of currents according to short-circuit rates. The analized signals are vibrations (only for experimental case) and currents (theoretical and experimental cases). The presented methods use classical techniques such as the Fourier Transform (FT) and the Park Vector Approach (PVA). The FT is used to observe the spectral evolution of the harmonics and more particularly of their amplitude. Then, PVA is used to exploit characteristics of geometrical shape of currents. The DFIM is analytically modeled by multi-coupled circuit model. In this work, the proposed approaches were simulated on Matlab environment and validated on a real device using a 0.3kW wound rotor asynchronous machine (DFIM). The studied DFIM can be configurated with a short circuit rate between turns of 2.5%, 5%, 10%, 20%, 30% to 40% on one phase (phase A)
Books on the topic "Park Vector Approach"
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Biloshytsky, Vadym, and Roman Cregg. Pioneering use of gene therapy for pain. Edited by Paul Farquhar-Smith, Pierre Beaulieu, and Sian Jagger. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198834359.003.0083.
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The landmark paper discussed in this chapter is ‘Gene therapy for pain: Results of a Phase I clinical trial’, published by Fink et al. in 2011. In this study, the first of its kind, researchers studied the efficacy and safety of a modified herpes simplex virus (HSV) vector used to deliver PENK, which encodes proenkephalin, which is cleaved into the enkephalin peptides Met-enkephalin and Leu-enkephalin, which induce analgesia by acting on opioid receptors. The development of the HSV vector was based in part on results studies in which adenovirus, adeno-associated virus, or non-viral vectors were used to overexpress genes. Overexpression of a variety of large molecules leads to a reduction in pain-related behaviour in animals. Gene therapy in the treatment of chronic pain seems to offer a promising alternative to systemic or highly invasive therapies. However, additional research is needed to determine the safety, effectiveness, and cost-efficiency of this approach.
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Berg, Andrew, and Rafael Portillo. Introduction to Part I. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198785811.003.0003.
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Developing an understanding of monetary policy in LICs must start with the evidence. This chapter briefly reviews the challenges facing the empirical researcher in SSA, including scarce and inaccurate data, short policy regimes that make powerful inference difficult, and the lack of structural models to help interpret the data. It provides an overview of Chapters 4–6, which take three very different approaches to looking at these data: a broad search for cross-country stylized facts (Chapter 4), a detailed case study of a major monetary policy event (Chapter 5), and an examination of whether vector auto-regressions (VARs)—the workhorse empirical tool in this area—are likely to yield useful results in the SSA context (Chapter 6).
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Eriksson, Olle, Anders Bergman, Lars Bergqvist, and Johan Hellsvik. Aspects of the Solid State. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198788669.003.0002.
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Symmetries play an important role in the theory of the solid state. As will be developed in this Chapter, DFT calculations for crystalline materials are commonly performed for the irreducible part of the first Brillouin zone, an approach which relies on the use of translational and point group symmetries. Two central properties that result from a calculation in reciprocal space are the wave vector resolved energy spectra, the so called band structure, and the energy resolved density of states. For magnetic materials, atomic magnetic moment moments can be defined and calculated, as well as effective inter-atomic exchange interactions.
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Integrated Management Strategy for Arboviral Disease Prevention and Control in the Americas. Organización Panamericana de la Salud, 2020. http://dx.doi.org/10.37774/9789275120491.
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In recent years, conditions in the Region of the Americas have been highly favorable for the introduction and spread of arthropod-borne viral infections (arboviral diseases). Although dengue has been circulating for over 400 years, the number of cases reported since the year 2000 represents an unprecedented increase, with four serotypes in circulation. Since that year, 19.6 million cases of dengue have been reported to PAHO/WHO, including more than 800,000 severe cases and over 10,000 deaths. In 2015 and 2016 alone, more than 4.8 million cases were reported, 17,000 of them severe, resulting in 2,000 deaths. Despite a 23% reduction in the dengue case-fatality rate in the last six years (from 0.069% to 0.053%), the continued risk of severe disease and even death poses a serious public health problem in the Americas. Today, arboviruses present an extremely complex and unstable epidemiological situation, given the simultaneous epidemic circulation of three arboviral diseases and the risk that others could become epidemics, for example, Mayaro fever. Countries are aware that this complex situation can only be addressed with a comprehensive and multidisciplinary approach. The development of IMS-arbovirus is part of a history of technical cooperation between PAHO/WHO and the countries and territories of the Americas. It is based on the lessons learned during the development and implementation of national IMS-dengue programs in recent years. This history of cooperation is not new. It dates back to October 1947, with the adoption of Resolution CD1.R1 during the first Directing Council of PAHO. This resolution stated that the solution to the problem of urban yellow fever would be the eradication of Ae. aegypti in the entire hemisphere. The success of that campaign was demonstrated in 1962, with the eradication of this vector in 18 countries in the Region and several Caribbean islands.
Book chapters on the topic "Park Vector Approach"
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Poel, Mannes, Luite Stegeman, and Rieks op den Akker. "A Support Vector Machine Approach to Dutch Part-of-Speech Tagging." In Lecture Notes in Computer Science, 274–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74825-0_25.
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Cesaretti, Lorenzo, Laura Screpanti, David Scaradozzi, and Eleni Mangina. "Analysis of Educational Robotics Activities Using a Machine Learning Approach." In Makers at School, Educational Robotics and Innovative Learning Environments, 203–11. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77040-2_27.
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AbstractThis paper presents the preliminary results of using machine learning techniques to analyze educational robotics activities. An experiment was conducted with 197 secondary school students in Italy: the authors updated Lego Mindstorms EV3 programming blocks to record log files with coding sequences students had designed in teams. The activities were part of a preliminary robotics exercise. We used four machine learning techniques—logistic regression, support-vector machine (SVM), K-nearest neighbors and random forests—to predict the students’ performance, comparing a supervised approach (using twelve indicators extracted from the log files as input for the algorithms) and a mixed approach (applying a k-means algorithm to calculate the machine learning features). The results showed that the mixed approach with SVM outperformed the other techniques, and that three predominant learning styles emerged from the data mining analysis.
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Hiteva, Ralitsa Petrova. "Moving Towards Nexus Solutions to ‘Energy’ Problems: An Inclusive Approach." In Shaping an Inclusive Energy Transition, 163–83. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74586-8_8.
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AbstractThis chapter offers an innovative approach to examining how fuel poverty in one of the most affected countries in the EU: Bulgaria can be examined as part of the urban nexus of food, water, energy and the environment. Building on bodies of literature of the nexus, fuel poverty, energy transitions and energy geographies, this chapter uses the example of energy provisioning in the capital city of Bulgaria: Sofia to illustrate how a more inclusive approach to addressing fuel poverty and air pollution can be developed. The case study unpacks the urban nexus by examining three practices: urban gardening, making zimnina, and heating and energy use in the home. It illustrates how the interdependencies between the practices of urban gardening, making zimnina and domestic heating and energy use have direct implications for the energy system of provisioning and can be important vectors in the energy transition for vulnerable citizens in the city. The chapter addresses an important research gap in urban nexus literature by offering a compelling empirical account of mapping nexus interactions through the perspective of vulnerable users, focusing on low-technological ways of managing the urban nexus (rather than technologically driven integration across sectors).
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Paegelow, Martin, and David García-Álvarez. "Advanced Pattern Analysis to Validate Land Use Cover Maps." In Land Use Cover Datasets and Validation Tools, 229–54. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_12.
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AbstractIn this chapter we explore pattern analysis for categorical LUC maps as a means of validating land use cover maps, land change and land change simulations. In addition to those described in Chap. “Spatial Metrics to Validate Land Use Cover Maps”, we present three complementary methods and techniques: a Goodness of Fit metric to measure the agreement between two maps in terms of pattern (Map Curves), the focus on changes on pattern borders as a method for validating on-border processes and a technique quantifying the magnitude of distance error. Map Curves (Sect. 1) offers a universal pattern-based index, called Goodness of Fit (GOF), which measures the spatial concordance between categorical rasters or vector layers. Complementary to this pattern validation metric, the following Sect. 2 focuses specifically on the changes that take place on pattern borders. This enables changes to be divided into those that take place on the borders of existing features and those that form new, disconnected features. Bringing this chapter on landscape patterns to a close, Sect. 3 presents a technique for quantifying allocation errors in simulation maps and more precisely on the minimum distance between the allocation errors in simulation maps and the nearest patch belonging to the same category on the reference map. The comparison between a raster-based and a vector-based approach brings us back to the differences in measurement inherent in the representation of entities in raster and vector mode. These techniques are applied to two datasets. Section 1 uses the Asturias Central Area database, where CORINE maps are compared to SIOSE maps and simulation outputs. For their part, the techniques described in Sects. 2 and 3 are applied to the Ariège Valley database. CORINE maps for 2000 and 2018 are used as reference maps in comparisons with simulated land covers.
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Godin, Biana, Wouter H. P. Driessen, Bettina Proneth, Sei-Young Lee, Srimeenakshi Srinivasan, Rolando Rumbaut, Wadih Arap, Renata Pasqualini, Mauro Ferrari, and Paolo Decuzzi. "An Integrated Approach for the Rational Design of Nanovectors for Biomedical Imaging and Therapy." In Tissue-Specific Vascular Endothelial Signals and Vector Targeting, Part B, 31–64. Elsevier, 2010. http://dx.doi.org/10.1016/s0065-2660(10)69009-8.
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Ryan, Sadie J., Catherine A. Lippi, Kevin L. Bardosh, Erika F. Frydenlund, Holly D. Gaff, Naveed Heydari, Anthony J. Wilson, and Anna M. Stewart-Ibarra. "Direct and Indirect Social Drivers and Impacts of Vector-Borne Diseases." In Population Biology of Vector-Borne Diseases, 247–66. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198853244.003.0014.
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Vector borne diseases (VBDs) are often seen by the highly developed nations of the world as an issue of poor tropical countries. While framing the problem this way—through the paradigm of a poverty-trap—may leverage aid and motivate political will toward disease control, it misses a wide range of socio-political contexts both driving, and driven by, vector borne diseases. In this chapter, we present a series of global vignettes, to illustrate different facets of the broad remit of social drivers and interactions with VBDs. We approach the urban social-ecological context in Latin America and the Caribbean, impacts and aftermath of natural disasters such as earthquakes and tropical storms, struggles with trust in intervention implementation in Haiti, and drivers and impacts of ruminant arbovirus emergence events in Europe. We conclude that incorporating an understanding of social context, including political history and cultural perceptions, is a key part of VBD research and intervention practice.
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Dubey, Shiv Ram, and Anand Singh Jalal. "Automatic Fruit Disease Classification Using Images." In Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies, 82–100. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6030-4.ch005.
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Diseases in fruit cause devastating problems in economic losses and production in the agricultural industry worldwide. In this chapter, a method to detect and classify fruit diseases automatically is proposed and experimentally validated. The image processing-based proposed approach is composed of the following main steps: in the first step K-Means clustering technique is used for the defect segmentation, in the second step some color and texture features are extracted from the segmented defected part, and finally diseases are classified into one of the classes by using a multi-class Support Vector Machine. The authors have considered diseases of apple as a test case and evaluated the approach for three types of apple diseases, namely apple scab, apple blotch, and apple rot, along with normal apples. The experimental results express that the proposed solution can significantly support accurate detection and automatic classification of fruit diseases. The classification accuracy for the proposed approach is achieved up to 93% using textural information and multi-class support vector machine.
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Kherwa, Pooja, Sonali Singh, Saheel Ahmed, Pranay Berry, and Sahil Khurana. "Articulated Human Pose Estimation Using Greedy Approach." In Artificial Intelligence. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99354.
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The goal of this Chapter is to introduce an efficient and standard approach for human pose estimation. This approach is based on a bottom up parsing technique which uses a non-parametric representation known as Greedy Part Association Vector (GPAVs), generates features for localizing anatomical key points for individuals. Taking leaf out of existing state of the art algorithm, this proposed algorithm aims to estimate human pose in real time and optimize its results. This approach simultaneously detects the key points on human body and associates them by learning the global context. However, In order to operate this in real environment where noise is prevalent, systematic sensors error and temporarily crowded public could pose a challenge, an efficient and robust recognition would be crucial. The proposed architecture involves a greedy bottom up parsing that maintains high accuracy while achieving real time performance irrespective of the number of people in the image.
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Kudin, Serhii. "SYNERGETICS AS A METHODOLOGICAL APPROACH TO THE STUDY OF SOCIAL, LEGAL, HISTORICAL AND LEGAL SYSTEMS." In European vector of development of the modern scientific researches. Publishing House “Baltija Publishing”, 2021. http://dx.doi.org/10.30525/978-9934-26-077-3-37.
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The subject of this publication is synergetics as a methodological approach to the study of social, legal, historical and legal systems, and the aim is to identify its characteristics as a methodological approach. Methods such as philosophical dialectics, analysis, synthesis, deduction, induction, synergetic, systemic, comparative historical, special legal, etc. were used in the study. As a result, it is concluded that synergetics is considered by scientists as a scientific picture of the world, independent science, methodology, interdisciplinary approach, private science theory, general scientific theory, scientific paradigm, so today it is in a state of formation. It was found that as a methodological approach, synergetics directs efforts to the scientific study of such an aspect of development as "self-organization", as well as the self-organization of such a part of matter as systems of different nature, meeting the criteria of complexity, openness, dissipation, to study the self-organization of systems within the scheme: "order" – "chaos" – "order". It is proved that in the study of social systems the main task of the synergetic approach is to identify a peculiar type of patterns of social self-organization, which differ from the patterns of self-organization in natural systems. It is substantiated that the synergetic approach has a number of heuristic possibilities in the study of some legal systems and in general directs efforts to identify the specifics of the laws of self-organization in the legal sphere, the implementation of the mechanism of legal self-organization as a result of mutual transitions of the legal order and chaos. It is revealed that the specific problems that arise when using this approach are the definition of "legal chaos", the identification of the mechanism of exchange of "legal information, matter and energy" between the legal system and the "environment", the essence of the synthesis of legal order and chaos. It is concluded that the synergetic approach has features in the study of historical and legal systems in the field of comparative history of law, which are due to the limitation of the "historical plane" of research and identify the impact of fluctuations on certain scenarios. It is determined that the nonlinearity of the evolution of historical and legal systems determines the perception of the view of the comparative history of law as an alternative and multivariate process. This allows the development in the field of alternative comparative history of law: the search for alternative in the future potentially positive options for the development of historical and legal systems. At the same time, the basis should be the modelling of comparative situations with the inclusion of the past and taking into account the impact of the future on the present. It is proved that the application of a synergetic approach in comparative and historical legal research, where the object is historical and legal systems, has a number of specific problems. It has been found that such problems are the discovery of the essence of the exchange between the "historical and legal system" and the "environment" of matter, information, energy; restrictions on the use of mathematical methods; search for criteria for distinguishing between objective and subjective factors that have influenced the choice of this particular "scenario" at the bifurcation point; delimitation of self-organization of structural elements of the system and their organization as a consequence of administrative intervention.
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Villegas-Chim, Josué, Abdiel Martin-Park, Henry Puerta-Guardo, María Eugenia Toledo-Romaní, Norma Pavía-Ruz, Yamili Contreras-Perera, Silvia Pérez-Carrillo, et al. "Community Engagement and Social Assessment for Wolbachia-Based Suppression of Natural Populations of Aedes aegypti: The Mexican Experience." In Mosquito Research - Recent Advances in Pathogen Interactions, Immunity, and Vector Control Strategies [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.106137.
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The Wolbachia-based approach is under evaluation as a control strategy against Aedes aegypti in Mexico. From 2017 to 2019, we performed a pilot study to evaluate an open-field mass-release of wAlbB-infected Ae. aegypti male mosquitoes, as part of an integrated vector management (IVM) plan led by the Ministry of Health in Mexico to suppress natural populations of Ae. aegypti in southern Mexico. Community engagement and social evaluation were part of the key activities conducted. Overall, results showed the positive benefits of this Wolbachia-based method in the reduction of Aedes mosquitoes (90%). Mosquito’s nuisance at bedtime and the increasing circulation of mosquitoes during the releasing days were reported as the negative perceptions of this method. Importantly, participants understood the difference between wild mosquitoes and those released as part of the project, as well as the importance of the IVM. A significant number of the population accepted and supported the project, and feedback was given to improve future mosquito-releasing activities. The social license was a key factor in the success of the intervention and should be part of innovative paradigms for mosquito-vector control strategies involving community engagement. We outline the Mexican experience of community engagement and social assessment in implementing a Wolbachia-based strategy.
Conference papers on the topic "Park Vector Approach"
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Spyropoulos, Dionysios V., and Epaminondas D. Mitronikas. "Induction motor stator fault diagnosis technique using Park vector approach and complex wavelets." In 2012 XXth International Conference on Electrical Machines (ICEM). IEEE, 2012. http://dx.doi.org/10.1109/icelmach.2012.6350114.
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Enejo, Igoche Sunday, Babatunde Adegboye, OdunAyo Imoru, and Tola Omokhafe James. "Fault Diagnosis in a Three-phase Induction Motor Using Enhanced Park Vector Approach." In 2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON). IEEE, 2022. http://dx.doi.org/10.1109/nigercon54645.2022.9803169.
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Husari, Fatima, and Jeevan Seshadrinath. "Inter-Turn Fault Diagnosis of Induction Motor Fed by PCC-VSI Using Park Vector Approach." In 2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE, 2020. http://dx.doi.org/10.1109/pedes49360.2020.9379388.
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Lou, Kuiyang, Subramaniam Jayanti, Natraj Iyer, Yagnanarayanan Kalyanaraman, Sunil Prabhakar, and Karthik Ramani. "A Reconfigurable 3D Engineering Shape Search System: Part II — Database Indexing, Retrieval, and Clustering." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/cie-48188.
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This paper introduces database and related techniques for a reconfigurable, intelligent 3D engineering shape search system, which retrieves similar 3D models based on their shape content. Feature vectors, which are numeric “fingerprints” of 3D models, and skeletal graphs, which are the “minimal representations of the shape content” of a 3D model, represent the shape content. The Euclidean distance of the feature vectors, as well as the distance between skeletal graphs, provides indirect measures of shape similarity between the 3D models. Critical database issues regarding 3D shape search systems are discussed: (a) database indexing, (b) semantic gap, (c) subjectivity of similarity, and (d) database clustering. An Rtree based multidimensional index is used to speed up the feature-vector based search operation, while a decision treebased approach is used for efficiently indexing/searching skeletal graphs. Interactions among users and the search system, such as relevance feedback and feature vector reconfiguration, are used to bridge the semantic gap and to customize the system for different users. Database clustering of the R-tree index is compared with that generated by a selforganizing map (SOM). Synthetic databases and real 3D model databases are employed to investigate the efficiency of the multidimensional index and the effectiveness of relevance feedback.
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Aras, Eyyup. "An Object-Space Based Machining Simulation in Milling: Part 2 — By Toroidal Surface." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87638.
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This is the second part of a two-part paper presenting an efficient parametric approach for updating the in-process workpiece represented by the Z-map. With the Z-map representation, the machining process can be simulated by intersecting z-axis aligned vectors with cutter swept envelopes. In this paper the vector-envelope intersections are formulized for the toroidal section of a fillet-end mill which may be oriented arbitrarily in space. For a given tool motion a toroidal surface generates more than one envelope. In NC machining because the torus is considered as one of the constituent parts of a fillet-end mill, only some parts of the torus envelopes, called contact envelopes, can intersect with Z-map vectors. In this paper an analysis is developed for separating the contact-envelopes from the non-contact ones. When a fillet-end mill has an orientation along the vertical z-axis of the Cartesian coordinate system, which happens in 2 1/2 and 3-axis machining, the number of intersections between a Z-map vector and the swept envelope of a toroidal section of the fillet-end mill is maximum one. For finding this single intersection point one of the numerical root finding methods, i.e. bisection, can be applied to the nonlinear function obtained from vector-envelope intersections. On the other hand when a fillet-end mill has an arbitrary orientation, the number of intersections can be more than one and therefore the numerical root finding methods cannot be applied directly. Therefore for addressing those multiple intersections, a system of non-linear equations in several variables, obtained by intersecting a Z-map vector with the envelope surface of the toroidal section of a fillet-end mill, is transformed into a single variable non-linear function. Then developing a nonlinear root finding analysis which guarantees the root(s) in the given interval, those intersections are obtained.
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Sonje, Deepak M., Anandita Chowdhury, and Prasanta Kundu. "Fault diagnosis of induction motor using parks vector approach." In 2014 International Conference on Advances in Electrical Engineering (ICAEE). IEEE, 2014. http://dx.doi.org/10.1109/icaee.2014.6838531.
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Lall, Pradeep, Ryan Lowe, and Kai Goebel. "PHM of Leadfree Interconnects Using Resistance Spectroscopy Based Particle Filter Models for Shock and Vibration Environments." In ASME 2011 Pacific Rim Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Systems. ASMEDC, 2011. http://dx.doi.org/10.1115/ipack2011-52197.
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Electronic assemblies have been monitored using state-space vectors from resistance spectroscopy, phase-sensitive detection and particle filtering (PF) to quantify damage initiation, progression and remaining useful life of the electronic assembly. A prognostication health management (PHM) methodology has been presented for electronic components subjected to mechanical shock and vibration. The presented methodology is an advancement of the state-of-art, which presently focuses on reactive failure detection and provides limited or no insight into the system reliability and residual life. Previously damage initiation, damage progression, and residual life in the pre-failure space has been correlated with micro-structural damage based proxies, feature vectors based on time, spectral and joint time-frequency characteristics of electronics [Lall2004a-d, 2005a-b, 2006a-f, 2007a-e, 2008a-f]. Precise resistance measurements based on the resistance spectroscopy method have been used to monitor interconnects for damage and prognosticate failure [Lall 2009a,b, 2010a,b, Constable 1992, 2001]. In this paper, the effectiveness of the proposed particle filter and resistance spectroscopy based approach in a prognostic health management (PHM) framework has been demonstrated for electronics. The measured state variable has been related to the underlying damage state using non-linear finite element analysis. The particle filter has been used to estimate the state variable, rate of change of the state variable, acceleration of the state variable and construct a feature vector. The estimated state-space parameters have been used to extrapolate the feature vector into the future and predict the time-to-failure at which the feature vector will cross the failure threshold. Remaining useful life has been calculated based on the evolution of the state space feature vector. Standard prognostic health management metrics were used to quantify the performance of the algorithm against the actual remaining useful life. Application to part replacement decisions for ultra-high reliability system has been demonstrated. Using the technique described in the paper the appropriate time to reorder a replacement part could be monitored, and defended statistically. Robustness of the prognostication algorithm has been quantified using standard performance evaluation metrics.
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Lall, Pradeep, Ryan Lowe, and Kai Goebel. "PHM of Leadfree Electronic Assemblies Using Resistance Spectroscopy With Sequential Importance Resampling." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-65832.
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Electronic assemblies have been monitored using state-space vectors from resistance spectroscopy, phase-sensitive detection and particle filtering (PF) to quantify damage initiation, progression and remaining useful life of the electronic assembly. A prognostication health management (PHM) methodology has been presented for electronic components subjected to mechanical shock and vibration. The presented methodology is an advancement of the state-of-art, which presently focuses on reactive failure detection and provides limited or no insight into the system reliability and residual life. Previously damage initiation, damage progression, and residual life in the pre-failure space has been correlated with micro-structural damage based proxies, feature vectors based on time, spectral and joint time-frequency characteristics of electronics [Lall2004a–d, 2005a–b, 2006a–f, 2007a–e, 2008a–f]. Precise resistance measurements based on the resistance spectroscopy method have been used to monitor interconnects for damage and prognosticate failure [Lall 2009a,b, 2010a,b, Constable 1992, 2001]. In this paper, the effectiveness of the proposed particle filter and resistance spectroscopy based approach in a prognostic health management (PHM) framework has been demonstrated for electronics. The measured state variable has been related to the underlying damage state using non-linear finite element analysis. The particle filter has been used to estimate the state variable, rate of change of the state variable, acceleration of the state variable and construct a feature vector. The estimated state-space parameters have been used to extrapolate the feature vector into the future and predict the time-to-failure at which the feature vector will cross the failure threshold. Remaining useful life has been calculated based on the evolution of the state space feature vector. Standard prognostic health management metrics were used to quantify the performance of the algorithm against the actual remaining useful life. Application to part replacement decisions for ultra-high reliability system has been demonstrated. Using the technique described in the paper the appropriate time to reorder a replacement part could be monitored, and defended statistically. Robustness of the prognostication algorithm has been quantified using standard performance evaluation metrics.
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Aldaberdikyzy, Aidyn, and Nurgissa Berdibay. "TERMINOLOGIZATION AND DEFINITION OF PROJECT-BASED LEARNING." In Modern pedagogical technologies in foreign language education: trends, transformations, vectors of development. ACCESS Press, 2021. http://dx.doi.org/10.46656/proceeding.2021.foreign.language(5).
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New, convenient, compact, understandable and effective approaches are needed for all students to master their language learning. Considering these criteria, we can consider one of the young approaches that are currently developing. It is a Project-based learning approach. Project-based learning is the abbreviation of PBL, which will use throughout article. The article provides a brief overview of the theoretical approaches to project-based learning. This approach is one of the most useful and absorbing methods in teaching and it was created as an idea in the twentieth century; today it is one of the beneficial approaches in education. The use of project-based learning in the classroom really comes in handy for those situations where students are just bored at lectures. The best part of PBL is that it increases student engagement. Student will enjoy working on these projects and be much more pleasant. This article explains theoretical fundamentals of PBL and the benefits of project-based learning technology
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Marzuki, Marzuki, Wahyuddin Albra, Nazir Nazir, Fahmy Azhari, Apridar Abdurrahman, and Ghazali Syamni. "Foreign Direct Investment, Portfolio Investment, and Economic Growth in Indonesia: Vector Auto Regression Approach." In Proceedings of the 1st Workshop on Multidisciplinary and Its Applications Part 1, WMA-01 2018, 19-20 January 2018, Aceh, Indonesia. EAI, 2019. http://dx.doi.org/10.4108/eai.20-1-2018.2282084.
Full textReports on the topic "Park Vector Approach"
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Grubman, Marvin J., Yehuda Stram, Peter W. Mason, and Hagai Yadin. Development of an Empty Viral Capsid Vaccine against Foot and Mouth Disease. United States Department of Agriculture, August 1995. http://dx.doi.org/10.32747/1995.7570568.bard.
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Foot-and-mouth disease (FMD), a highly infectious viral disease of cloven-hoofed animals, is economically the most important disease of domestic animals. Although inactivated FMD vaccines have been succesfully used as part of comprehensive eradication programs in Western Europe, there are a number of concerns about their safety. In this proposal, we have attempted to develop a new generation of FMD vaccines that addresses these concerns. Specifically we have cloned the region of the viral genome coding for the structural proteins and the proteinase responsible for processing of the structural protein precursor into both a DNA vector and a replication-deficient human adenovirus. We have demonstrated the induction of an FMDV-specific immune response and a neutralizing antibody response with the DNA vectors in mice, but preliminary potency and efficacy studies in swine are variable. However, the adenovirus vector induces a significant and long-lived neutralizing antibody response in mice and most importantly a neutralizing and protective response in swine. These results suggest that the empty capsid approach is a potential alternative to the current vaccination strategy.
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Antignus, Yehezkiel, Ernest Hiebert, Shlomo Cohen, and Susan Webb. Approaches for Studying the Interaction of Geminiviruses with Their Whitefly Vector Bemisia tabaci. United States Department of Agriculture, July 1995. http://dx.doi.org/10.32747/1995.7604928.bard.
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The DNA of tomato yellow leaf curl virus (TYLCB) was detected in its whitefly vector, Bemisia tabaci, by dot spot hybridization as early as 1 h after acquisition access. The retention of the virus nucleic acid in the vector was at least 23 days after a 48 h acquisition access. However, the retention of TYLCV coat protein did not exceed 10 days. No replicative forms of TYLCV could be detected in B. tabaci, indicating a non-propagative relationship with the vector. Whiteflies were not able to accumulate naked virion ssDNA, virus cloned dsDNA, or virions with impaired coat protein. Deletion, frameshift, and single amino acid mutations were inserted into open reading frames (ORFs) V1 and V2 (Coat protein) of TYLCV. The ability of these mutants to replicate, to spread and to induce symptoms was tested both in leaf disks and in intact plants. No replication was found in tissues that were infected with a deletion mutant that lacked the carboxy half of the coat protein gene. Residual amounts of ssDNA and dsDNA were detected i tissues infected with a frameshift mutant in which an early termination at the extreme part of the protein. Two other mutants in which a single amino acid was changed in the overlapping part of V1 and V2 were able to spread systemically but infections remained symptomless and the production of ssDNA and dsDNA were significantly lower. These mutants were acquired and transmitted by Bemisia tabaci. Procedures for the the dissection, fixation and embedding of whiteflies were developed. The anatomy and ultrastructure of the salivary gland and the midgut of Bemisia tabaci and Trialeurodes vaporariorum (a vector and non-vector of geminiviruses respectively) was studied and described. Monoclonal antibodies against bean golden mosaic virus (BGMV) with narrow and broad spectrum were prepared. Transmission studies of tomato mottle geminivirus (TMoV) by B. tabaci were carried out. These studies were essential for a further work aimed to understand the interaction of geminiviruses with the insect and their localization in its tissues. To enable the production of transgenic plants procedures were developed for tomato transformation with both Agrobacterium and microparticle bombardment.
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Tokarieva, Anastasiia V., Nataliia P. Volkova, Inesa V. Harkusha, and Vladimir N. Soloviev. Educational digital games: models and implementation. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3242.
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Nowadays, social media, ICT, mobile technologies and applications are increasingly used as tools for communication, interaction, building up social skills and unique learning environments. One of the latest trends observed in education is an attempt to streamline the learning process by applying educational digital games. Despite numerous research data, that confirms the positive effects of digital games, their integration into formal educational contexts is still relatively low. The purpose of this article is to analyze, discuss and conclude what is necessary to start using games as an instructional tool in formal education. In order to achieve this aim, a complex of qualitative research methods, including semi-structured expert interviews was applied. As the result, the potential of educational digital games to give a unique and safe learning environment with a wide spectrum of build-in assistive features, be efficient in specific training contexts, help memorize studied material and incorporate different learning styles, as well as to be individually adaptable, was determined. At the same time, the need for complex approach affecting the administration, IT departments, educators, students, parents, a strong skill set and a wide spectrum of different roles and tasks a teacher carries out in a digital game-based learning class were outlined. In conclusion and as a vector for further research, the organization of Education Design Laboratory as an integral part of a contemporary educational institution was proposed.