Miracle-dz/UniFAR-FTUs huggingface dataset:
Feature Reinforcement using Autoencoders

——Cardiovascular disease (CVD) is the number one cause of death globally, more people die annually from CVDs than from any other cause. People with cardiovascular disease or who are at high cardiovascular risk need early detection and management using counselling and medicines, as appropriate. The early detection of CVDs needs an expert hand and awareness amongst people. Here is where Data analytics can help in predicting the cardiovascular cases before-hand by helping to make informed decisions faster, with great accuracy and at a much earlier date. The dataset used is the Cleveland Heart disease Database taken from UCI learning data set repository. The dataset is being divided into five classes, 0 corresponding to absence of any disease and 1,2,3,4 corresponding to grades of heart disease. The dataset has been bifurcated into absence (0) and presence (1, 2, 3 and 4) of the heart disease. Using medical profiles such as age, sex, blood pressure, cholesterol, sugar level etc. The classifiers can predict the probability of patients getting a heart disease. There is no dearth of classification techniques but feature engineering and data representation is the crux of the model building pre-activity. When done efficiently, this could make the model more robust and accurate.
Hurwitz curves

The present paper is a survey of recent results about Hurwitz curves, their braid monodromy invariants, and their applications to -isotopy and regular homotopy problems. The second part of the survey is devoted to a discussion of the applicability of braid monodromy invariants of branch curves for generic coverings of the projective plane as invariants distinguishing connected components of the moduli space of algebraic surfaces (in the algebraic case) and distinguishing symplectic structures on four-dimensional varieties (in the symplectic case).
Design and analysis of a three‐phase brushless flux switching generator for aircraft ground power units

This study proposes a new three-phase dual-rotor middle-stator brushless flux switching generator for 400 Hz diesel-driven aircraft ground power units. For the proposed machine, both field and armature windings are hosted in the stator in such a way that not only fulfils brushless structure, but also realises the flux switching function. Moreover, both windings have non-overlapping concentrated windings to shorten the end-windings and reduce the copper losses. In the meantime, the rotor has only slots without any active parts. First, the machine detailed design is provided, and its performance is analysed using finite element method. Also, a selection topology of both stator and rotor pole arcs is carried out, targeting maximum generated electromotive force, minimum harmonic content, and minimum cogging torque. Then, a prototype is implemented and experimented to confirm the feasibility of the proposed machine.
A comparative analysis of single- and multiple-electrode excitation methods in electrical capacitance tomography

Multiple-electrode excitation methods in electrical capacitance tomography (ECT) are analysed and compared with the conventional single-electrode excitation strategy. A series of experiments carried out employing a purpose-built flexible-excitation ECT system, showed a variable (11–125%) but consistent increase in the detection signals when using ‘optimum’ excitation patterns, compared with the single-electrode case. However, for most applications this advantage of multiple-electrode excitation may not justify the price that must be paid in terms of higher system complexity.
The topological classification of germs of the maximum and minimax functions of a family of functions in general position

0. every continuous real-valued function/ defined on a space of a locally trivial fibering Pj: X -* Υ with compact fibre we can assign a continuous function given on the base: with a point у of the base we associate the maximal value of/ on the fibre pi 1 (y). The resulting function is called the maximum function of/. If the base Υ in its turn is a space of a locally trivial fibering with compact fibre p 2 : Υ -* Z, then by taking the minimum function of the maximum function we obtain the minimax function. In this note we prove that any germ both of the maximum and the minimax function of a smooth function in general position is topologically equivalent to a germ of the Morse function.
Wettability control of a plastic surface by Cf4-O2 plasma and its etching effect

Any desired surface wettability of a plastic surface can be produced by changing the concentration of the plasma gas, which here is a mixture of oxygen and a compound which includes fluorine. In the plasma treatment, the use of a third electrode consisting of a metal mesh for ion trapping can significantly decrease the etching effect. The plastic surface wettability, given by the contact angle of a water drop, does not have any direct relationship with the surface roughness due to etching in this experiment.
Efficient Information-Theoretic-Statistical (ITSM) Equation for Face Recognition Technique: Comparison with Statistical Technique and Information-Theoretic Technique

Spontaneous recognition of human faces is a challenging problem that has install important concern from signal processing researchers in Last years. This is owing to its many uses in various fields, including security and forensic analysis. Notwithstanding this interest, face recognition is yet one of the most challenging troubles. Up to this time, no way gives a good solution to all attitudes. In this paper we present a neoteric mathematical technicality for face recognition. which we call, (ITSM), is Accredit on our lately disseminated efficient information-theoretic-statistical equation (ITSM), which Merge three mathematically balanced equations. The first one is entropic equation (EE), the second one is histogram equation (HE), and the third one is the standard statistic (SSIM). (ITSM) Tested against versus (SSIM) and (ITSSIM) beneath Gaussian noise, so we got good results even beneath a large scale of PSNR. The face recognition with (ITSM) certified on both above measures of a test image and a database images. We performed the performance evaluation with (MATLAB) using part of the Famous (AT&T) gray Image Database that made up of (49) face images, from which we chose seven person and for each one we chose seven Perspectives (poses) with different facial emotions. The Target of this paper is to present an efficient technicality for face recognition that may work in real-time milieu. Through the implementation of our information, facial recognition has been proven with a method (ITSM) Hybrid (information - theoretic-statistical) that surpasses the known statistical technicality of face recognition (SSIM) and a technicality based on information theory known as (ISSIM).
Convergence rates of convex variational regularization

The aim of this paper is to provide quantitative estimates for the minimizers of non-quadratic regularization problems in terms of the regularization parameter, respectively the noise level. As usual for ill-posed inverse problems, these estimates can be obtained only under additional smoothness assumptions on the data, the so-called source conditions, which we identify with the existence of Lagrange multipliers for a limit problem. Under such a source condition, we shall prove a quantitative estimate for the Bregman distance induced by the regularization functional, which turns out to be the natural distance measure to use in this case. We put a special emphasis on the case of total variation regularization, which is probably the most important and prominent example in this class. We discuss the source condition for this case in detail and verify that it still allows discontinuities in the solution, while imposing some regularity on its level sets.
A Fast k-means Algorithm using Cluster Shifting to Produce Compact and Separate Clusters (RESEARCH NOTE)

The k -means algorithm is known to have a quadratic time complexity in terms of n , the input data size. This quadratic complexity debars the algorithm from being effectively used in large applications. In this article, an attempt is made to develop a faster version (in terms of both number of iterations and execution time) of the classical k -means algorithm which requires comparatively lesser number of iterations. The underlying modification includes a gradual directional movement of intermediate clusters and thereby improving compactness and separability properties of cluster structures simultaneously. This process also results in an improved visualization of clustered data. Experimental results using various types of data sets prove our claim. Comparison of results obtained with the classical k -means and the present algorithm indicates usefulness of the new approach.
Determination of N2(A 3Σu+) metastable density produced by nitrogen streamers at atmospheric pressure: 1. Design of diagnostic method

A new method based on time-resolved UV–VIS spectrometry was developed to determine absolute densities of N2(A 3Σu+) metastable species produced by nitrogen streamers at atmospheric pressure. The method originates with the correlation of N2(C 3Πu), N2(C′′ 5Πu) and NO(A 2Σ+) state populations with N2(A 3Σu+) state evolution. The diagnostic procedure is based on predicting emissions controlled by N2(A 3Σu+) species through the pooling and resonant energy transfer reactions in high-purity nitrogen with well-defined trace quantities of NO. A simple analytical tool to evaluate the N2(A 3Σu+) concentration is provided using synthetic NO-γ, N2-second positive (2.PG) and N2-Vegard–Kaplan (VK) band emission spectra. The application of the method requires tracking post-discharge formation of the N2(C 3Πu, C′′ 5Πu) states and inferring time evolution of N2(A 3Σu+) species from emission intensities of the N2-2.PG and N2-Herman infrared (HIR) systems. Simultaneously, the post-discharge evolution of the NO(A 2Σ+) state has to be monitored through the NO-γ system. The concentration of N2(A 3Σu+) metastables can finally be evaluated from relative emission intensities of pre-selected NO-γ, N2-2.PG and N2-VK bands.
Isolated horizons: a generalization of black hole mechanics

A set of boundary conditions defining a non-rotating isolated horizon are given in Einstein-Maxwell theory. A spacetime representing a black hole which itself is in equilibrium but whose exterior contains radiation admits such a horizon. Physically motivated, (quasi-)local definitions of the mass and surface gravity of an isolated horizon are introduced. Although these definitions do not refer to infinity, the quantities assume their standard values in Reissner-Nordström solutions. Finally, using these definitions, the zeroth and first laws of black hole mechanics are established for isolated horizons.
Application of PIV method to study the speed distribution of oil mist particles in the orthogonal cutting process

The paper presents the use of the PIV method in ex perimental studies on the speed distribution of oil particles contained in oil mist delivered into a cutting zone with minimum quantity (MQL). During investigations an orthogonal s mple was of an aluminum alloy PA7N was machined using HS18-0-1 high-speed steel cutter . Th oil mist was delivered into the cutting zone by a single spray nozzle directed at the tool rake surface. Two angular settings of the spray nozzle were applied in relation to the surface of t he machined sample. Based on the images obtained by the PIV method, the distribution of the oil particles in the cutting area was determined according to the setting the spray nozzle. Studies have indicated more favorable conditions for the delivery of oil mist at the angle of spray nozzle a t 85°. These conclusions were confirmed by measuring the cutting force in tangential direction t the machined surface.
CONSTRAINED INFERENCE IN GENERALIZED LINEAR AND MIXED MODELS

In the past half-century, statisticians have recognized the improvement in efficiency of many inference problems as a result of implementing the prior ordering of parameters or restrictions in the analysis. As it is often the case that observations are not normally distributed and are sometimes observed in a cluster, generalized linear models (GLMs) or generalized linear mixed models (GLMMs) are employed. The paper extends estimation and hypothesis testing methods for such models under inequality constraints using the Gradient Projection (GP) algorithm. Results of simulation studies and applications are also discussed.
Finite element triangulation of complex regions using computational geometry

Mesh generation is an important, resource consuming part of finite element analysis and should be carried out automatically as much as possible. For this purpose, we present a method for producing a triangulation of a complex polygonal region of the plane. The method allows the desired number of triangles and a mesh smoothness parameter to be specified along with the polygonal curves of the region's boundary. Computational geometry techniques are used to decompose and triangulate the region. The method proceeds in three stages. In the first stage, the region is decomposed into convex polygons such that small interior angles are avoided. In the second stage, a mesh distribution function is defined based on the boundary length scales and the region is further decomposed into convex polygons such that the variation of the function in each subregion is limited, since we aim to produce a triangulation which is approximately equidistributing with respect to the function. In the third stage, a Delaunay triangulation is constructed in each subregion using a quasi-uniform grid whose spacing is determined from the mesh distribution function. The computational complexity and correctness of algorithms in the three stages are discussed. We have implemented an experimental prototype of the method in PASCAL and carried out tests of triangulations for a variety of regions. We report on the performance of the method for major computational experiments on two complex test regions.
Recognition of Aircraft Engine Sound Based on GMM-UBM Model

Gaussian mixture model-universal background model (GMM-UBM) is a commonly-used speaker recognition technology, and which has achieved good effect for detection speaker’s sound. In this paper, we explore GMM-UBM method for use with abnormal aircraft engine sound detection. We designed a GMM-UBM based aircraft engine sound recognition system, which extracts MFCC feature parameters and trains the GMM-UBM models using maximum a posteriori (MAP) adaptive algorithm. Experimental results show the GMM-UBM based aircraft engine sound recognition system can achieve higher recognize rate in real-word aircraft engine sound test.
Curriculum renewal in architecture, engineering, and construction education: Visualizing building information modeling via augmented reality

Building information modeling (BIM) has long been utilized in the Architecture, Engineering and Construction (AEC) education. Learning and teaching (L & T) research has revealed a range of shortcomings in using BIM such as unfamiliarity of students and graduates with real-world field operations and decision making processes. Better visualization of BIM via augmented reality (AR) is an innovative educational approach that can address the aforementioned problems. This paper, proposes AR-powered BIM as a robust platform to be adopted in the AEC education with the aim of improving student experience and learning. After discussing advantages and disadvantages of BIM and AR as two separate platforms, opportunities and challenges to combine the two are investigated. This work contributes to the body of knowledge in the field of AEC education by investigating the dynamics of using AR-powered BIM in curriculum design.
LinkedIn Groups: Building a community to create real connections to benefit students and alumni in Fashion and Textiles

This Fashion & Textiles Collective community presentation focuses on updating and encapsulating progress in the School of Art, Design & Architecture Teaching and Learning funded project. The project team include Fashion and Textiles Design and Business academics, International careers advisor and undergraduate researcher co-presented the latest results, evolving strategies and user experiences on how the project has leveraged and increased the social capital within this professional Fashion & Textiles Higher education community network. LinkedIn has become the premier social media site for professionals, most employers will search for a job candidate on LinkedIn; despite this many students use a range of other social media. LinkedIn has many powerful tools and inherent capabilities that facilitate the range of networking that students engage in to find internships, placements, jobs, and to make professional connections, but compiling a profile takes time with a slow build to engage as “future professionals”. The project team have encouraged undergraduates to join the UoH alumni group on LinkedIn since 2013. The ADA funded T&L project (2016/17) aimed to link these early disconnected undergraduate and alumni activities into a community hub, and recently this initiative is now providing data on graduate destinations (including data for DHLE) and fast paced career progression, as well as sharing current professional resources and encouraging and enhancing networking opportunities for undergraduates and postgraduates to exist in a vibrant online community. The project has demonstrated the potential to more actively connect with and draw upon the experience of alumni as role models and mentors. We have started immediately to launch LinkedIn with our first years, who have responded enthusiastically and very professionally. The project has attracted increased numbers of alumni and business partners to connect with the LinkedIn group.
Classical model of kinetic electron emission near threshold induced by impact of atomic projectiles on a free-electron gas metal

We present a simple classical model for the threshold behaviour of the kinetic electron emission caused by collisions of atomic projectiles with a metal. Electron emission close to threshold is dominated by maximum energy transfer in binary collisions and from conservation laws and phase space considerations we derive the threshold behaviour for the kinetic electron emission and the mean electron energy transfer, which compare well with recent experimental studies on electron emission from Al(111) under grazing impact of light neutral atoms.
Standardization and development of moong dal based products

The objective of present investigation “Standardization and Development of Moong Dal Based Products” was to standardize and develop the products using moong dal &their sensory evaluation. Moong Dal high in protein and yet easily digestible with the bonus of extra fiber makes this a super food. Moong bean possesses detoxicant, heat dispersing, diuretic, and hypolipemic properties. The bean is the perfect food for reducing weight.Moong beans are considered useful in defending against several chronic, age-related diseases, including heart disease, cancer, diabetes and obesity. Developed products of Moong dal were Halwa, Dahi Bade. The organoleptic evaluation of products was done by using (9-point Hedonic scale). The result of moong dal based products for (Halwa&Dahi Bade) (T1) was best in all treatmentsin case of all sensory attributes. The highest average score for overall acceptability was found in experimental samples. Developed products were accepted by members.
Quantum Entanglement and Nonlocality Properties of Two-Mode Squeezed Thermal States in a Common-Reservoir Model

We study a system consisting of two identical non-interacting single-mode cavity fields coupled to a common vacuum environment and provide general, explicit, and exact solutions to its master equation by means of the characteristic function method. We analyze the entanglement dynamics of two-mode squeezed thermal state in this model and show that its entanglement dynamics is strongly determined by the two-mode squeezing parameter and the purity. In particular, we find that two-mode squeezed thermal state with the squeezing parameter is extremely fragile and almost does not survive in a common vacuum environment. We investigate the time evolution of nonlocality for two-mode squeezed thermal state in such an environment. It is found that the evolved state loses its nonlocality in the beginning of the evolution, but after a time, the revival of nonlocality can occur.
The quasar luminosity function from a variability-selected sample

A sample of quasars is selected from a 10-yr sequence of 30 UK Schmidt plates. Luminosity functions are derived in several redshift intervals, which in each case show a featureless power-law rise towards low luminosities. There is no sign of the break found in the recent UVX sample of Boyle, Shanks & Peterson. It is suggested that reasons for the disagreement are connected with biases in the selection of the UVX sample. The question of the nature of quasar evolution appears to be still unresolved
Nonparametric estimation of the mea-surement eror model using multiple indicators

This paper considers the nonparametric estimation of the densities of the latent variable and the error term in the standard measurement error model when two or more measurements are available. Using an identification result due to Kotlarski we propose a two-step nonparametric procedure for estimating both densities based on their empirical characteristic functions. We distinguish four cases according to whether the underlying characteristic functions are ordinary smooth or supersmooth. Using the loglog Law and von Mises differentials we show that our nonparametric density estimators are uniformly convergent. We also characterize the rate of uniform convergence in each of the four cases.
External audit of photon beams by mailed film dosimetry: feasibility study

A feasibility study for mailed film dosimetry has been performed. The global reproducibility of the method is better than 2%. It is shown that the normalized sensitometric curve does not depend on photon beam quality in the range from Co-60 -rays to 18 MV x-rays, although the dose per optical density decreases when the energy increases. The fading of the latent image before film processing is only 3% per month and the normalized sensitometric curve is not modified after a period of 51 days between irradiation and processing. Sets of films were mailed to three different institutes for irradiation and returned for processing and evaluation after more than two months in order to verify that mailing of irradiated and unprocessed films does not produce unwanted artefacts. Finally the feasibility of external audits with mailed film dosimetry is illustrated by comparison of beam profiles measured with films and ionization chambers in a polystyrene phantom.
On the Relationships between Blind Equalization and Blind Source Separation - Part II: Relationships

The objective of this two-part work is to present and discuss the relationships between the problems of blind equalization and blind source separation. Both tasks appear, at first sight, to be essentially distinct, since equalization theory was developed mainly under single-input / single-output (SISO) and single-input/ multiple-output (SIMO) models, whereas the very idea of source separation strongly suggests the need for considering models with multiple inputs and multiple outputs (MIMO). However, in this second part, equivalences between the Benveniste-Goursat-Ruget theorem and the approach to blind source separation based on maximum-likelihood, between the Shalvi-Weinstein techniques and the separation methods that employ kurtosis and, finally, between the Bussgang algorithms and the ICA tools built from concepts such as negentropy and nonlinear principal component analysis are indicated. Finally, some connections previously unexplored in the literature are presented that are derived from ideas such as that of temporality and that of considering the parallels existing between a two-stage (magnitude and phase) equalization procedure and the classical pair PCA / ICA.