Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic calibration of the spatial position and orientation for the tomographic digital holographic microscopy

In previous study, a tomographic imaging system is built up for measuring the three-dimensional refractive index distribution inside the micrometer-sized biological cell by optically driven full-angle rotation scheme based on digital holographic microscopy, named as optical-driven tomographic DHM (OT-DHM) system. However, a small perturbation of the system will lead the inaccurate of the positions and the orientation of the micrometer-sized sample, thus the automatic calibration of the reconstructed phase images in the OT-DHM system is required. For this purpose, a novel model-based algorithm is proposed, in which we employ a 3-D ellipse shape for modeling the samples. The parameters of the ellipse-like shape on a small number of the projections are estimated and used them to build up the 3-D ellipse model of the samples. In advance, the reconstructed phase images are highly contaminated by the uneven background and coherence speckle noise. The block-based between-class criterion is used to suppress the effect of the non-uniform background, and the anisotropic diffusion process is utilized for the noise cleaning, including shot noise and speckles noise on the reconstructed phase. The boundary of the cell in each projection can be considered as the 2-D ellipse, and used to estimate the parameters of the 2-D ellipse. The established 3-D ellipse shape is applied for the calibration of the spatial positions and the orientations of the all other rotational angles. With the automatic calibration algorithm, the OT-DHM system can effectively reconstructed the three-dimensional refractive index distribution inside the micrometer-sized samples.
Monitering System for Human Activity

Healthcare costs is increase as age increase. The healthcare system is now transfer into system in which continuous monitoring of patient is possible. Without hospitalization continuous monitoring of patients is possible with help of smart sensing system. There are various system which develop smart system to monitor activities of the human being, such as embedded systems, wireless communication technologies. Smart sensing system based on the wearable sensor monitor all the physiological parameters of the patient along with other symptoms. Sensors detect abnormal situations by monitoring patient. In this we propose smart sensing system more light-weight, high-performance wearable devices will be available for monitoring a wide range of activities of human being.
A critical analysis of the Big Bang Nucleosynthesis

Standard Big Bang Nucleosynthesis (SBBN) represents one of the basic tools to understand the early evolution of the universe. In this paper, we reanalyze this process to focus on the so-called lithium problem. 7Li is overproduced during SBBN compared to its primordial abundance as obtained from observations. For this reason, we extend the scenarios of SBBN in two directions: (i) equating all neutrino chemical potentials and including more neutrino families, (ii) varying neutrino chemical potentials independently. Since the so-called cosmological lithium problem is not resolved on nuclear/astrophysical ground, we argue that this problem should be examined by invoking nonstandard assumptions.
Interpoint Distance Test of Homogeneity for Multivariate Mixture Models

Finite mixtures offer a rich class of distributions for modelling of a variety of random phenomena in numerous fields of study. Using the sample interpoint distances (IPDs), we propose the IPD‐test statistic for testing the hypothesis of homogeneity of mixture of multivariate power series distribution or multivariate normal distribution. We derive the distribution of the IPDs that are drawn from a finite mixture of the multivariate power series distribution and multivariate normal distribution. Based on the empirical distribution of the IPDs, we construct a bootstrap test of homogeneity for other multivariate finite mixture models. The IPD test is applied to mixture models for matrix‐valued distributions and a test of homogeneity for Wishart mixture is presented. Numerical comparisons show that IPD test has accurate type I errors and is more powerful in most multivariate cases than the expectation–maximization (EM) test and modified likelihood ratio test.
Interviewing For Solutions

Thank you very much for reading interviewing for solutions. Maybe you have knowledge that, people have look hundreds times for their favorite readings like this interviewing for solutions, 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 harmful bugs inside their laptop. interviewing for solutions is available in our digital library an online access to it is set as public so you can get it instantly. Our book servers spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the interviewing for solutions is universally compatible with any devices to read.
NIT and Multi-Core based application tuned processor architecture for EIA

Applications for constrained embedded systems require careful attention to the match between the application and the support offered by the architecture,at the ISA and microarchitecture levels.In this paper,we address our ideas using tunable architectures to develop an understanding of an application's performance and to enhance its performance with respect to customized module.Especially,this paper addresses the challenges associated with the research issues about Embedded Intel Architecture(EIA),and furthermore,figures out a draft about how to make a unified approach to combine multiple EIA cores as a whole embedded computing solution to industry application.In this solution,coarse-grained parallelism mechanism is used instead of both dual cores and configurable architecture to achieve ILP in embedded system.
Crossings and Nestings in Tangled Diagrams

A tangled diagram on $[n]=\{1,\dots,n\}$ is a labeled graph for which each vertex has degree at most two. The vertices are arranged in increasing order on a horizontal line and the arcs are drawn in the upper halfplane with a particular notion of crossings and nestings. Generalizing the construction of Chen et al. , we give a bijection between generalized vacillating tableaux with less than $k$ rows and $k$-noncrossing tangled diagrams. We show that the numbers of $k$-noncrossing and $k$-nonnesting tangled diagrams are equal and we enumerate $k$-noncrossing tangled diagrams. Finally, we show that braids, a special class of tangled diagrams, facilitate a bijection between $2$-regular $k$-noncrossing partitions and $k$-noncrossing enhanced partitions.
A Weather Forecasting Model using Clustering Approach

Cluster analysis is one of the primary data analysis methods and k-means is one of the most well known popular clustering algorithms. The k-means algorithm is one of the frequently used clustering method in data mining, due to its performance in clustering massive data sets. The final clustering result of the k-means clustering algorithm greatly depends upon the correctness of the initial centroids, which are selected randomly. The original k-means algorithm converges to local minimum, not the global optimum. Many improvements were already proposed to improve the performance of the k-means, but most of these require additional inputs like threshold values for the number of data points in a set. In this paper for generating clustering objects we developed efficient mining approach and result analysis with ahmweather, rajweather and iris datasets. Our efficient approach is compare with K-Means algorithm and time required for generating clustering objects is less. I. Introduction Mining is a technique used to extract and mine the invisible, meaningful information from mountain of data. The term data mining is also relevantly used as Knowledge Discovery in Database, Knowledge engineering. Based on the patterns we look for the Data Mining models and tasks are divided into two main categories Predictive models and Descriptive Models. Whereas the Predictive Model is used to predict the feasibility of outcome, the other Descriptive model is used to describe the important features of dataset. The types of Predictive model are classification, regression, prediction and time series analysis. The various models included in descriptive model are clustering, summarization, Association rules and sequence discovery.
Modeling of Photovoltaic Systems Using MATLAB: Simplified Green Codes

This book presents simplified coded models for photovoltaic (PV) based systems using MATLAB to help readers understand the dynamic behavior of these systems. Through the use of MATLAB, the reader has the ability to modify system configuration, parameters and optimization criteria. Topics covered include energy sources, storage, and power electronic devices. This book contains six chapters that cover systems’ components from the solar source to the end-user. Chapter 1 discusses modelling of the solar source, and Chapter 2 discusses modelling of the photovoltaic source. Chapter 3 focuses on modeling of PV systems’ power electronic features and auxiliary power sources. Modeling of PV systems’ energy flow is examined in Chapter 4, while Chapter 5 discusses PV systems in electrical power systems. Chapter 6 presents an application of PV system models in systems’ size optimization. Common control methodologies applied to these systems are also modeled.
$Z_2$-bordism and the Borsuk-Ulam Theorem

The purpose of this work is to classify, for given integers $m,\, n\geq 1$, the bordism class of a closed smooth $m$-manifold $X$ with a free smooth involution $\tau$ with respect to the validity of the {\it Borsuk-Ulam property} that for every continuous map $\phi : X \to R^n$ there exists a point $x\in X$ such that $\phi (x)=\phi (\tau (x))$. We will classify a given free $Z_2$-bordism class $\alpha$ according to the three possible cases that (a) all representatives $(X , \tau)$ of $\alpha$ satisfy the Borsuk-Ulam property; \ (b) there are representatives $(X_ 1, \tau_1)$ and $(X_2, \tau_2)$ of $\alpha$ such that $(X_1, \tau_1)$ satisfies the Borsuk-Ulam property but $(X_2, \tau_2)$ does not; \ (c) no representative $(X , \tau)$ of $\alpha$ satisfies the Borsuk-Ulam property.
The rigidity of $\mathbb{S}^3\times\mathbb{R}$ under ancient Ricci flow

In this paper we generalize the neck-stability theorem of Kleiner-Lott to a special class of four-dimensional nonnegatively curved Type I $\kappa$-solutions, namely, those whose asymptotic shrinkers are the standard cylinder $\mathbb{S}^3\times\mathbb{R}$. We use this stability result to prove a rigidity theorem: if a four-dimensional Type I $\kappa$-solution with nonnegative curvature operator has the standard cylinder $\mathbb{S}^3\times\mathbb{R}$ as its asymptotic shrinker, then it is exactly the cylinder with its standard shrinking metric.
Study on Evolutionary Algorithm Online Performance Evaluation Visualization Based on Python Programming Language

Abstract Evolutionary computations are kinds of random searching algorithms derived from natural selection and biological genetic evolution behavior. Evaluating the performance of an algorithm is a fundamental task to track and find the way to improve the algorithm, while visualization technique may play an important act during the process. Based on current existing algorithm performance evaluation criteria and methods, a Python-based programming tracking strategy, which employs 2-D graphical library of python matplotlib for online algorithm performance evaluation, is proposed in this paper. Tracking and displaying the performance of genetic algorithm (GA) and particle swarm optimization (PSO) optimizing two typical numerical benchmark problems are employed for verification and validation. Results show that the tracking strategy based on Python language for online performance evaluation of evolutionary algorithms is valid, and can be used to help researchers on algorithms’ performance evaluation and finding ways to improve it.
Analytical Far-Zone Calculation of the Field Radiated From an Equilateral Triangular Aperture

This communication contributes to the classical analytical models for computing the radiated electromagnetic fields from an aperture with a canonical shape by means of the equivalence principle. Analytical closed-form expressions are presented for the radiation pattern generated by the modes of an equilateral triangular aperture. The derived formulation is based on the use of a well-known equivalence principle, which provides the radiated far-field from the transversal field at the aperture. This equivalence principle, as well as the formulation of the modal field functions associated with an equilateral triangular aperture, are briefly described. The equivalence principle is then applied to these modal field functions to evaluate the closed-form expressions for the integrals required to obtain the radiation pattern associated with each mode. Different examples are shown, where the analytical results achieved by the formulation derived in this communication when compared with those provided by commercial software packages based on different numerical approaches show a very good agreement.
PubData: search engine for bioinformatics databases worldwide

We propose a search engine and file retrieval system for all bioinformatics databases worldwide. PubData searches biomedical data in a user-friendly fashion similar to how PubMed searches biomedical literature. PubData is built on novel network programming, natural language processing, and artificial intelligence algorithms that can patch into the file transfer protocol servers of any user-specified bioinformatics database, query its contents, retrieve files for download, and adapt to the user’s search preferences. PubData is hosted as a user-friendly, cross-platform graphical user interface program developed using PyQt: http://www.pubdata. bio. The methods are implemented in Python, and are available as part of the PubData project at: https://github.com/Bohdan-Khomtchouk/PubData.
Flexible dual‐band dual‐polarised CPW‐fed monopole antenna with discrete‐frequency reconfigurability

A flexible dual-band dual-polarised CPW-fed monopole antenna with discrete-frequency reconfigurability is presented here. In the proposed antenna, to achieve dual-band performance, a U-slot is incorporated within the CPW-fed monopole. The antenna is fabricated on a flexible and transparent substrate so that it can be used for conformal applications. The effect of antenna bending on its performance is discussed here. Further, the proposed antenna structure is extended to achieve discrete-frequency reconfigurability. Two p-i-n diodes are incorporated within the monopole to achieve reconfigurability of higher band. A simplified equivalent circuit of the reconfigurable antenna is also presented and validated using full wave EM simulation. To validate the proposed structure, dual-band antenna and discrete frequency reconfigurable antenna have been fabricated and tested.
Knowledge-based Intelligent Tutoring System for Teaching Mongo Database

Recently, Intelligent Tutoring Systems (ITS) got much attention from researchers even though ITS educational technology began in the late 1960s and ITS is just embryonic from laboratories into the field. In this paper we outline an intelligent tutoring system for teaching basics of the databases system called (MDB). The MDB was built as education system by using the authoring tool (ITSB). MDB contains learning materials as a group of lessons for beginner level which include relational database system and lessons in the process to install and set up a database. MDB system has exams for each level of the Lessons. An evaluation was done to see the effectiveness the MDB among learners and instructors. The outcome of the evaluation was promising.
Differential Spin Hall Effect-Based Nonvolatile Static Random Access Memory for Energy-Efficient and Fast Data Restoration Application

Spintronics, being a burgeoning area of research, aims to incorporate magnetic tunnel junction (MTJ), as a basic storage building block, to various electronic applications. In continuation of many device structure using MTJ such as spin-transfer torque (STT)-MTJ, spin Hall effect (SHE)-MTJ, spin–orbit torque (SOT)-MTJ, domain wall-based MTJ, and complementary polarizer MTJ, this paper presents a differential spin Hall effect (DSHE). The working and operational analysis of the DSHE-based memory element is presented. It provides 50% improved write energy and more than 1.5 times faster read as compared to a single-ended SHE-MTJ. The device structure is well suited for various differential circuit applications, for example, nonvolatile static random access memory (NVSRAM), nonvolatile flip flop (NVFF), magnetic full adder, and nonvolatile differential sense latch, with a fast and energy-efficient operation. In addition, DSHE-MTJ application for NVSRAM (named as DSNVM) is proposed. Performance of DSNVM is compared with the STT+SHE-based NVSRAM (named as SHENVM). DSNVM shows improved performance in terms of area overhead, restoration delay, and energy. DSNVM provides 40% faster restoration and 16.7% lesser energy as compared to SHENVM. Furthermore, a computational investigation for cell stability is depicted using butterfly curve and N-curve methods. Usually, write noise margins deteriorate in NVSRAMs due to the constituent NV cell. However, read as well as write noise margin is improved in DSNVM.
Operational and Efficient Production Functions: Measuring Efficiency in Abyek Cement Factory

In this paper, Leontief linear production functions with one product, and one activity are used to derive the production function of Abyek Cement Factory. The mathematical closed form of production function and also, profit, cost, and demand functions for production factors are obtained for the cited factory. We tried to calculate Operational Production Function of Abyek Cement Factory. It was realized that Leontief linear production function is applicable, and its mathematical form can properly express the economic structure of production in a cement factory. The efficient production function for this factory is also derived in this research. This function exhibits the costs incurred due to the inefficient production of the factory during different years. According to the findings, it was concluded that if the Abyek Cement Factory produces efficiently through employing optimal amounts of factors of production, it can reduce costs by 21 to 52 percent without any change in production level. Calculations were done for both short-term and long-term periods. JEL: D22, L11, L61
H\"older stability for $C^r$ central translations

We consider the class of diffeomorphisms of a manifold that its differential keeps invariant a one-dimensional subbundle $E$. For that type of diffeomorphisms is naturally defined a one-parameter family called $E-$translation. We prove that if a diffeomorphisms in above mentioned class is conjugate to its $E-$translation and the conjugacy is at distance $\alpha$-H\"older to the identity respect to the parameter and $\alpha>1/2$, then the $E$-direction is hyperbolic. This theorem is also sharp as it is be discussed with some examples. We also deal with the continuously stable case in the Skew-Products context with one-dimensional fibers, requiring extra hypothesis along the fibers like either non-negative second derivative or negative Schwartzian.
Hypothesis Testing in Presence of Adversaries

Abstract We present an extension to the classical problem of hypothesis testing by incorporating actions of an adversary who intends to mislead the decision-maker and attain a certain benefit. After presenting the general problem within an adversarial statistical decision theory framework, we consider the cases of adversaries who can either perturb the data received or modify the underlying data-generating process parametrically. Supplemental materials for this article are available online.
Optimisation de l'analyse de la matière organique à l'aide d'un nouveau spectromètre de masse basé sur le CosmOrbitrap dans un contexte de future mission spatiale

La spectrometrie de masse joue un role clef dans l’exploration spatiale, notamment dans la caracterisation de la matiere organique presente sur de nombreux objets du Systeme Solaire. Dans ce manuscrit, l’accent est particulierement mis sur Titan, presentant une chimie organique complexe initiee dans son ionosphere et se repercutant jusqu’a sa surface. Les spectrometres de masse embarques a bord de la mission Cassini-Huygens ont permis de nombreuses detections de composes organiques. Cependant, les limites instrumentales d’un point de vue analytique poussent la communaute scientifique a se pencher sur de nouvelles techniques de spectrometrie de masse dites a haute resolution (HRMS). Mon travail de these s’est inscrit dans le developpement d’un nouveau type d’analyseur en masse base sur la technologie Orbitrap, instrumentation HRMS de laboratoire, pour une application spatiale. Ce projet se nomme CosmOrbitrap. L’objectif s’est ainsi concentre sur les possibilites d’analyse de la matiere organique avec une configuration instrumentale simple et compacte couplant directement l’analyseur CosmOrbitrap a une ionisation par ablation laser (LAb-CosmOrbitrap), dans un contexte de future mission spatiale. L’identification univoque de composes organiques purs ou formant des melanges complexes, la demonstration des performances en termes de resolution, de precision en masse et d’etude des rapports isotopiques mais egalement l’influence de la pression sur la resolution en masse obtenue sur des composes organiques sont detaillees dans ce manuscrit. L’analyse de la matiere brute d’analogues d’aerosols de Titan synthetises en laboratoire (tholins) montre un cas d’etude concret sur les capacites du LAb-CosmOrbitrap a permettre une analyse chimique profonde des echantillons representatifs d’un environnement d’interet exobiologique.
Embedded Signal Processor Design for Biosensor System-on-a-chip Applications

A new emerging field in electronics is the development of biosensor system-on-a-chip (SoC) applications [1]-[2]. These kinds of SoCs can be implemented as programmable and automated processors for biological and pharmaceutical analysis, as shown in Fig 1. As the advance of semiconductor technology, the SoC can integrate different functional units. However, much care has to be put in the design of embedded signal processor which has to provide real-time processing capabilities in order to deal with complex systems composed of sensors, actuators, signal conditioning and processing circuits. Moreover, programmability and reconfigurability are key design features to get a flexible and reusable architecture. There are already many existing programmable DSPs [3]-[4]. But they do not focus on design-reuse. System-on-chip designers can not use them in their design. Our proposed embedded signal processor can help the designers to translate their signal processing algorithms to actual systems quickly such as a noise reduction filter. In addition, our design is aimed at a fully synthesizable signal processor, which can be easily embedded into a biosensor system.
Strange Duality of Verlinde spaces for G_2 and F_4

We prove that the pull back of the canonical theta divisor for E_8-bundles at level one induces a strange duality between Verlinde spaces for G_2 and F_4 at level one on smooth curves of genus g. We also prove a parabolic generalization in terms of conformal blocks and write down identities between conformal blocks divisors in the Picard group of \bar-M_{g,n}.