Miracle-dz/UniFAR-FTUs huggingface dataset:
An assessment of pan-sharpening algorithms for mapping mangrove ecosystems: a hybrid approach

ABSTRACT Mapping mangrove (littoral and swamps) ecosystems is challenging due to the qualitative and quantitative nature of the surrounding water and mudflats. However, accurate assessment of mangroves is required to determine carbon credits. This research study explores five pan-sharpening algorithms with the aim of determining the best algorithm to map mangrove ecosystems from very high resolution satellite images. In this research, a multidimensional evaluation was employed to pinpoint the best algorithm from among five advanced algorithms, i.e. Ehler’s transformation (ET), modified intensity hue saturation (MIHS), wavelet transformation (WT), optimized high pass filter addition (OHPFA), and subtractive resolution merge (SRM). These approaches involve the calculation of spectral root mean square error (RMSE), Sobel filter RMSE and correlation coefficient (r). OHPFA and SRM provided good results during this assessment. Object-based image analysis was incorporated to further assess the best technique between these two approaches for assessing mangrove tree canopy by calculating under and over segmentation. The SRM algorithm provides the best results with a kappa coefficient (κ) of 0.875 and an accuracy of 92.3% when compared with ground data. This research is very useful in various applications such as calculation of crown projection area using high resolution satellite images for estimation of blue carbon in mangrove trees.
Spatially resolved observations of a split-band coronal type II radio burst

Context. The origin of coronal type-II radio bursts and of their band-splitting are still not fully understood. Aims. To make progress in solving this problem on the basis of one extremely well observed solar eruptive event. Methods. The relative dynamics of multi-thermal eruptive plasmas, observed in detail by the SDO/AIA and of the harmonic type-II burst sources, observed by the NRH at ten frequencies from 445 to 151 MHz, is studied for the partially behind the limb event on 3 November 2010. Special attention is given to the band-splitting of the burst. Analysis is supplemented by investigation of coronal hard X-ray (HXR) sources observed by the RHESSI. Results. It is found that the flare impulsive phase was accompanied by the formation of a double coronal HXR source, whose upper part coincided with the hot (T~10 MK) eruptive plasma blob. The leading edge (LE) of the eruptive plasmas (T~1-2 MK) moved upward from the flare region with the speed of v=900-1400 km/s. The type II burst source initially appeared just above the LE apex and moved with the same speed and in the same direction. After about 20 s it started to move about twice faster, but still in the same direction. At any given moment the low frequency component (LFC) source of the splitted type-II burst was situated above the high frequency component (HFC) source, which in turn was situated above the LE. It is also found that at a given frequency the HFC source was located slightly closer to the photosphere than the LFC source. Conclusions. The shock wave, which could be responsible for the observed type-II radio burst, was initially driven by the multi-temperature eruptive plasmas, but later transformed to a freely propagating blast shock wave. The most preferable interpretation of the type-II burst splitting is that its LFC was emitted from the upstream region of the shock, whereas the HFC - from the downstream region.
Effects of spatial dispersion in near-field radiative heat transfer between two parallel metallic surfaces

We study the heat transfer between two parallel metallic semi-infinite media with a gap in the nanometer-scale range. We show that the near-field radiative heat flux saturates at distances smaller than the metal skin depth when using a local dielectric constant and investigate the origin of this effect. The effect of non-local corrections is analysed using the Lindhard-Mermin and BoltzmannMermin models. We find that local and non-local models yield the same heat fluxes for gaps larger than 2nm. Finally, we explain the saturation observed in a recent experiment as a manifestation of the skin depth and show that heat is mainly dissipated by eddy currents in metallic bodies.
A Spectroscopic Follow-up Program of Very Massive Galaxies at 3 < z < 4: Confirmation of Spectroscopic Redshifts, and a High Fraction of Powerful AGNs

We present the analysis and results of a spectroscopic follow-up program of a mass-selected sample of six galaxies at using data from Keck-NIRPSEC and VLT-Xshooter. We confirm the redshifts for half of the sample through the detection of strong nebular emission lines, and improve the zphot accuracy for the remainder of the sample through the combination of photometry and spectra. The modeling of the emission-line-corrected spectral energy distributions (SEDs) adopting improved redshifts confirms the very large stellar masses of the sample ( ) in the first 2 Gyr of cosmic history, with a diverse range in stellar ages, star-formation rates, and dust content. From the analysis of emission-line luminosities and widths, and far-infrared (FIR) fluxes, we confirm that of the sample are hosts to luminous hidden active galactic nuclei (AGNs), with bolometric luminosities of ∼1044–46 erg s−1. We find that the MIPS 24 μm photometry is largely contaminated by AGN continuum, rendering the SFRs derived using only 24 μm photometry to be severely overestimated. By including the emission from the AGN in the modeling of the UV-to-FIR SEDs, we confirm that the presence of the AGN does not considerably bias the stellar masses ( dex at 1σ). We show evidence for a rapid increase of the AGN fraction from ∼30% to ∼60%–100% over the 1 Gyr between and . Although we cannot exclude some enhancement of the AGN fraction for our sample due to selection effects, the small measured [O iii] contamination to the observed K-band fluxes suggests that our sample is not significantly biased toward massive galaxies hosting AGNs.
Secure Two-Party Distance Computation Protocol Based on Privacy Homomorphism and Scalar Product in Wireless Sensor Networks

Numerous privacy-preserving issues have emerged along with the fast development of the Internet of Things. In addressing privacy protection problems in Wireless Sensor Networks (WSN), secure multi-party computation is considered vital, where obtaining the Euclidian distance between two nodes with no disclosure of either side's secrets has become the focus of location-privacy-related applications. This paper proposes a novel Privacy-Preserving Scalar Product Protocol (PPSPP) for wireless sensor networks. Based on PPSPP, we then propose a Homomorphic-Encryption-based Euclidean Distance Protocol (HEEDP) without third parties. This protocol can achieve secure distance computation between two sensor nodes. Correctness proofs of PPSPP and HEEDP are provided, followed by security validation and analysis. Performance evaluations via comparisons among similar protocols demonstrate that HEEDP is superior; it is most efficient in terms of both communication and computation on a wide range of data types, especially in wireless sensor networks.
A Quick Compression Method of the Spatial Vector Data

A compression method of the line and the polygon vector data is given in this paper. At the foundation of this method, the compression method of the all-list-search which is based on non-topology relation is put forward. With the experiment of the MapInfo exchange format data, the results illustrate that this compression method has the characteristics of large data compression ratio, high accuracy and fast operating speed.
Fashion From Concept To Consumer

Thank you for reading fashion from concept to consumer. Maybe you have knowledge that, people have look hundreds times for their chosen readings like this fashion from concept to consumer, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some infectious virus inside their desktop computer. fashion from concept to consumer is available in our digital library an online access to it is set as public so you can get it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the fashion from concept to consumer is universally compatible with any devices to read.
A Connectivity Preservation Scheme for Randomly Deployed WSNs

Network connectivity is a critical factor affecting the overall performance of a wireless sensor network (WSN). Various factors affecting network connectivity and overall network topology such as nodes supplied limited battery power and random deployment of sensor nodes which result in existence of network partitions. In this paper, we have proposed a Connected Dominating Set with Anchor nodes (CDSA) algorithm for random WSN that ensures connectivity for longer time by using high density nodes as virtual backbone as well as activating few spare nodes or anchor nodes at calculated distances to regain overall network connectivity. Results showed that CDSA has gained connectivity with few anchor nodes. CDSA had outperformed the traditional multi-hop fashion and hybrid algorithms. CDSA had approximately twice the Fiedler value enhancement of Random Addition algorithm.
Inverse Modeling An introduction to the theory and methods of inverse problems and data assimilation

Sparsity and inverse problems in astrophysics Jean-Luc Starck Data assimilation: Particle filter and artificial neural networks Helaine Cristina Morais Furtado, Haroldo Fraga de Campos Velho and Elbert Einstein Nehrer Macau I.M. Gelfand and applied mathematics Andrei L Afendikov and Konstantin V Brushlinskii Some Pictures of The 2015 International Conference on Mathematics, its Applications, and Mathematics Education Sudi Mungkasi Committee of The 2015 International Conference on Mathematics, its Applications, and Mathematics Education
Robust amplification of Santha-Vazirani sources with three devices

We demonstrate that amplification of arbitrarily weak randomness is possible using quantum resources. We present a randomness amplification protocol that involves Bell experiments. We find a Bell inequality which can amplify arbitrarily weak randomness and give a detailed analysis of the protocol involving it. Our analysis includes finding a sufficient violation of Bell inequality as a function of the initial quality of randomness. It has a very important property that for any quality the required violation is strictly lower than possible to obtain using quantum resources. Among other things, it means that the protocol takes a finite amount of time to amplify arbitrarily weak randomness.
NEGASI DALAM BAHASA INDONESIA DAN BAHASA INGGRIS

This study is entitled Negation in Indonesia and English. Traditionally, people differentiate positive and negative sentences by identifying ‘not’ in Bahasa and ‘tidak’ as negation markers in English. These negation markers can be presented with words, phrases and clauses that form negation sentences in Bahasa Indonesia and English. This paper tries to describe and compare the other negation markers in these both languages. The data are writen and unwritten from that taken from daily conversation.
Formación inicial del profesorado en el uso de Tecnologías de la Información y la Comunicación (TIC) para la educación del discapacitado

Los beneficios y las oportunidades que las TIC brindan al discapacitado las convierten en herramientas imprescindibles en todos los ambitos de su vida: la educacion, la formacion y el empleo. La formacion inicial del profesorado es esencial para garantizar que el uso de las TIC en la escuela inclusiva sea exitosa. Este estudio tiene como objetivo conocer el nivel de formacion y conocimiento tecnologico que los futuros docentes de educacion primaria tienen acerca de la aplicacion de las TIC para personas con diferentes tipos de discapacidades. La muestra esta compuesta de 154 estudiantes del Grado de Educacion Primaria de la Universidad de Sevilla. Se administro el cuestionario COTETICNE, ya validado por Fernandez & Cabero (en prensa), compuesto por seis dimensiones: aspectos generales, discapacidades visuales, discapacidades auditivas, discapacidades motoricas, discapacidades cognitivas y accesibilidad. Los estudiantes mostraron muy poco conocimiento respecto a la aplicacion de las TIC para personas con algun tipo de discapacidad y su conocimiento era variable en funcion del tipo de discapacidad. Es necesario adoptar medidas sobre formacion inicial del profesorado, otorgandole la posibilidad de adquirir habilidades, capacidades y competencias en el uso e incorporacion de las TIC en las aulas inclusivas.
Lucid Dreaming Gateway To The Inner Self

Thank you for reading lucid dreaming gateway to the inner self. Maybe you have knowledge that, people have search hundreds times for their chosen novels like this lucid dreaming gateway to the inner self, but end up in malicious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they cope with some infectious bugs inside their laptop. lucid dreaming gateway to the inner self is available in our book collection an online access to it is set as public so you can download it instantly. Our book servers hosts in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the lucid dreaming gateway to the inner self is universally compatible with any devices to read.
Developing multidimensional metrics for evaluating paediatric neurodevelopmental disorders

Healthy brain functioning depends on efficient communication of information between brain regions, forming complex networks. By quantifying synchronisation between brain regions, a functionally connected brain network can be articulated. In neurodevelopmental disorders, where diagnosis is based on measures of behaviour and tasks, a measure of the underlying biological mechanisms holds promise as a potential clinical tool. Graph theory provides a tool for investigating the neural correlates of neuropsychiatric disorders, where there is disruption of efficient communication within and between brain networks. This research aimed to use recent conceptualisation of graph theory, along with measures of behaviour and cognitive functioning, to increase understanding of the neurobiological risk factors of atypical development. Using magnetoencephalography to investigate frequency-specific temporal dynamics at rest, the research aimed to identify potential biological markers derived from sensor-level whole-brain functional connectivity. Whilst graph theory has proved valuable for insight into network efficiency, its application is hampered by two limitations. First, its measures have hardly been validated in MEG studies, and second, graph measures have been shown to depend on methodological assumptions that restrict direct network comparisons. The first experimental study (Chapter 3) addressed the first limitation by examining the reproducibility of graph-based functional connectivity and network parameters in healthy adult volunteers. Subsequent chapters addressed the second limitation through adapted minimum spanning tree (a network analysis approach that allows for unbiased group comparisons) along with graph network tools that had been shown in Chapter 3 to be highly reproducible. Network topologies were modelled in healthy development (Chapter 4), and atypical neurodevelopment (Chapters 5 and 6). The results provided support to the proposition that measures of network organisation, derived from sensor-space MEG data, offer insights helping to unravel the biological basis of typical brain maturation and neurodevelopmental conditions, with the possibility of future clinical utility.
Exchange and Interchange Procedures to Search for Optimal Designs

SUMMARY An algorithm to search for optimal block designs is described. This algorithm consists of an exchange procedure and an interchange procedure. During the exchange procedure the "correct" treatment replications are determined and during the interchange procedure an optimal set of treatment concurrences is searched for. The optimality criterion is the sum of the weighted variances of a set of treatment contrasts of interest. Examples which illustrate how the algorithm can be used to obtain designs which have a variance structure that reflects the interest expressed in a set of treatment contrasts are given and the performance of the algorithm is discussed.
View-dependent Tetrahedral Meshing and Rendering using Arbitrary Segments.

We present a meshing and rendering framework for tetrahedral meshes that constructs a multi-resolution representation and uses this representation to adapt the mesh to rendering parameters. The mesh is partitioned into several segments which are simplified independently. A multi-resolution representation is constructed by merging simplified segments and again simplifying the merged segments. We end up with a (binary) hierarchy of segments whose parent nodes are the simplified versions of their children nodes. We show how the segments of arbitrary levels can be connected efficiently such that the mesh can be adapted fast to rendering parameters at run time. This hierarchy is stored on disc and segments are swapped into the main memory as needed. Our algorithm ensures that the adapted mesh can always be treated like a not-segmented mesh from outside and thus can be used by any renderer. We demonstrate a segmentation technnique that is based on an octree although the multi-resolution representation itself does not rely on any paticular segmentation technique.
A study of the scale-invariant feature transform on a parallel pipeline

﻿ Untitled Page In this thesis we study the running of the Scale Invariant Feature Transform (SIFT) algorithm on a pipelined computational platform. The SIFT algorithm is one of the most widely used methods for image feature extraction. We develop a tile based template for running SIFT that facilitates the analysis while abstracting away lower-level details. We formalize the computational pipeline and the time to execute any algorithm on it based on the relative times taken by the pipeline stages. In the context of the SIFT algorithm, this reduces the time to that of running the entire image through a bottlenecked stage and the time to run either the first or last tile through the remaining stages. Through an experimental study of the SIFT algorithm on a broad collection of test images, we determined image feature fraction values, that relate the sizes of the image extracts as it the computation proceeds through the stages of the SIFT algorithm. We show that for a single chip uniprocessor pipeline, the computational stage is the bottleneck. Specifically we show that for an N x N image with n x n tiles the overall time complexity is θ ( <td align="center" style="border-bottom-style: groove; border-bottom-color: Black; border-bottom-width: thin;"> (n+x) 2 p i Г 0 +αβN 2 x 2 Г 1 + <td align="center" style="border-bottom-style: groove; border-bottom-width: thin; border-bottom-color:000000;"> (αβ+γ)n 2 logx P 0 Г 2 ) ; here x is the neigborhood of the tile, p i , p o are the number of input, output pins of the chip, α,β,γ are the feature fractions, and Г 0 , Г 1 , Г 2 are the input, compute, output clocks. The three terms in the expression represents the time complexities of input, compute and output stages. The input and output stages can be slowed down substantially without appreciate degradation of the overall performance. This slowdown can be traded off for lower power and higher signal quantity. For multicore chips, we show that for an N x N image on a P-core chip, the overall time complexity to process the image is θ ( <table…
Blended learning: pedagogy, learning styles, and assessment activities in the classroom

Article history: Received 17 August 2016 Received in revised form 29 October 2016 Accepted 3 November 2016 A change on the education system is essential in order to produce positive impacts to the success of students; hence, preparing them for the 21st century globalization challenges. The advanced technology nowadays which is both dynamic and futuristic ought to catalyses innovation within the education system of Malaysia. As such, the Ministry of Education (MOE) of Malaysia has taken proactive steps and innovate the education system in line with the current technology. Smart school is one of the results of the initiative and to ensure the success of the smart school concept, MOE has implemented a blended learning platform known as the Frog-Virtual Learning Environment (Frog VLE). Nevertheless, the Frog VLE remains new and hardly practiced among educationist; therefore, this study aims to highlight the Frog VLE in details and how it can be practice within the classroom.
Visualization II Course Project A Survey on Visualization of Time-Dependent Vector Fields by Texture-based Methods

The common goal of vector field visualization is to produce high resolution images that reveal flow field characteristics such as orientation, direction, magnitude and rate of change. The goal of this survey is to explore some of the fundamental ideas that led to the development of techniques for using texture and dye to visualize unsteady vector fields in two or three dimensions. Texture based methods enable users to visually resolve rather fine details of fluid flow such as small vortices. This survey reviews some of the techniques for flow visualization that advance the practice beyond arrow plots and glyphs. Although arrow plots and glyphs can portray fluid vector field velocity, direction, acceleration, and can apply to three dimensional and time-dependent fields, the size of the area represented must be small due to the size of the icons. Particle tracing techniques offer an intuitive representation of transport along the flow. Dense representations for particle-tracing methods typically are built on texture-based techniques which provide images of high spatial resolution. This survey addresses some of the more significant developments in this area. Spot noise and Line Integral Convolution (LIC) offered early and quite useful methods of particle tracing techniques. LIC in particular was the basis for other techniques that sought to address limitations and offered improved performance such as dye advection, Oriented LIC (not discussed in this survey), Unsteady Flow LIC (UFLIC), and Dynamic LIC (DLIC). The survey explores texture advection techniques in which a dense collection of particles in a texture are transported according to the motion of particles in a time-dependent unsteady vector field. Two versions of the same ideas, Langranian-Eulerian Advection (LEA) and Image-Based Flow Visualization (IBFV) visualize unsteady flow by integrating particle positions and advecting the color of the particles based on a texture representation. In LEA, both noise and dye advection can be handled in the same framework. LEA can also be extended to three dimensions. In IBFV, the noise texture is advected and a second texture is blended into the advected texture at each time step. IBFV cannot be extended to three dimensions. Unsteady Flow Advection-Convolution (UFAC) offers the user control of spatial and temporal coherence by providing explicit and separate control of the patterns.
EQUILIBRIUM AND STRUCTURAL STUDIES OF SILICON(IV) AND ALUMINUM(III) IN AQUEOUS SOLUTION. 11. POLYSILICATE FORMATION IN ALKALINE AQUEOUS SOLUTION. A COMBINED POTENTIOMETRIC AND SILICON‐29 NMR STUDY

Constantes de stabilite des polysilicates formes. En plus d'un dimere, on trouve egalement Si 2 O 3 (OH) 4 2− , Si 3 O 6 (OH) 3 3− cyclique et Si 3 O 5 [OH] 5 3− lineaire. Cependant le polysilicate principal est trimere