Miracle-dz/UniFAR-FTUs huggingface dataset:
Day-Ahead Peak Load Probability Density Forecasting Based on QRLSTM-DF Considering Exogenous Factors

High-precision peak load forecasting is the guarantee of dispatching and decision-making in power systems. It is difficult to predict the peak power demand accurately and robustly due to many unstable factors that affect power loads. In order to solve this problem, this article proposes quantile regression long-short term memory based on decoupling features for probability density forecasting of the day-ahead peak load. This method reduces the possibility of mutual influence among characteristics by decoupling factors in different branches of neural network. Then, kernel density estimation is used as a post-processing technique to generate probability density curves, which can give the comprehensive probability distribution of future peak loads and effectively quantify the uncertainty. Experimental results on three datasets show that the model outperforms several existing prediction models. In particular, the prediction results of the maximum daily peak power load and the peak load beyond the sample maximum boundary are also accurate and robust.
Gain-scheduled and nonlinear systems : dynamic analysis by velocity-based linearization families

A family of velocity-based linearizations is proposed for a nonlinear system. In contrast to the conventional series expansion linearization, a member of the family of velocity-based linearizations is valid in the vicinity of any operating point, not just an equilibrium operating point. The velocity-based linearizations facilitate dynamic analysis far from the equilibrium operating points and enable the transient behaviour of the nonlinear system to be investigated. Using velocity-based linearizations, stability conditions are derived for both smooth and non-smooth nonlinear systems which avoid the restrictions to trajectories lying within an unnecessarily (perhaps excessively) small neighbourhood about the equilibrium operating points inherent in existing frozen-input theory. For systems where there is no restriction on the rate of variation the velocity-based linearization analysis is global in nature. The analysis techniques developed, although quite general, are motivated by the gain-scheduling design.
Digital Approaches on Frequency Tuning for Magnetoelectric Sensors

Magnetoelectric sensor concepts typically require magnetic or electrical excitation signals with a specific frequency and amplitude for operation. These required signals present a challenge in terms of the necessary frequency accuracy to enable ME sensors operation at their particular resonance frequency. This work compares two digital designs for generating the electrical signal that drives the composite ME sensors. The first one includes a Variable-Content Look-Up-Table Single-Side-Band modulation, and the second one is a Direct-Digital-Synthesizer implementation. The Direct-Digital-Synthesizer proves to be the best in terms of its obtained Signal-to-Noise-Ratio equal to 38.09 dB, Spurious-Free-Dynamic-Range equal to 39.12 dB, and Total-Harmonic-Distortion plus Noise equivalent to 1.25% after the filtering stage. Additionally, it can cover the frequency range from 384.62 kHz to 781.23 kHz with an achievable resolution of ($11.95\pm 1.10$) Hz. The DDS architecture is synthesized in a 180 nm integrated circuit technology on Gate-Level-Netlist hierarchy using Cadence Genus Synthesis Solution Tool. The simulated power consumption is $46.46\ \mu\mathrm{W}$, and the area consumption is $91 \mu\mathrm{m}\times91\ \mu\mathrm{m}$.
Fabric defect detection based on multi-scale wavelet transform and Gaussian mixture model method

This paper proposed an approach, which is based on multi-scale wavelet transform and Gaussian mixture model, to solve the problem about automated fabric defect detection and improve the quality of fabric in the production. Firstly, the sample image was tackled by the “Pyramid” wavelet decomposition algorithm, and the new images were obtained by reconstructing with the produced wavelet coefficients using wavelet thresholding denoising method. Secondly, the obtained new images were segmented by applying the Gaussian mixture model that was based on the Expectation–Maximization (EM) algorithm. Various fabric samples were used in the evaluation, and the experimental results showed that the designed algorithm could precisely locate the position of defect and segment the defect.
Delta-Sigma Modulator Design Using a Memristive FIR DAC

This paper proposes the design of a first-order single-bit continuous-time Delta-Sigma modulator using a memristive finite impulse response (FIR) digital-to-analog converter (DAC) in the feedback. To achieve better power and circuit area efficiency, the coefficients of the 8-tap FIR filter are implemented using memristors with programmable resistance in the range of $17.20\mathrm{k}\Omega$ to $55.63\mathrm{k}\Omega$. The modulator was designed and simulated using a 180nm standard CMOS technology in addition to a memristor model, which was constructed based on the measured characteristics of the real device behavior. The modulator targets 10kHz signal bandwidth and samples at 10MHz. Simulation results show that the FIR DAC can improve the modulator signal-to-noise and distortion ratio (SNDR) from 44.36dB to 62.29dB with the existence of 5ns RMS jitter at the sampling clock. The FIR DAC still contributes to a better modulator SNDR performance even considering a worst-case 20% resistance variation of the memristors.
Analysis and Effects of Aging and Electromigration on Mixed-Signal ICs in 22nm FDSOI Technology

This paper studies the impact of aging and electromigration on mixed-signal CMOS ICs in 22nm FDSOI technology. Recently, this technology has received much attention in many emerging high-speed and RF applications such as 5G wireless chipsets due to its planar structure and fin field-effect transistor (FinFET)-like performance. A StrongARM latched comparator and an 8-bit monotonic Successive Approximation Register (SAR) Analog-to-digital Converter (ADC), designed for a 5G vehicle-to-everything (V2X) wireless chipset, are used as case studies in this paper. SPICE simulation results show that the 22nm FDSOI process exhibits a robust performance in terms of aging and electromigration. The aging impacts the performance of the comparator by only 1.1% over 20 years. Similarly, for the SAR-ADC, the electromigration impact is minimized by ensuring that the current density at every node does not exceed the threshold value at high temperatures. This demonstrates that the lifetime and operating conditions of chips designed in 22nm FDSOI are enhanced for critical applications such as autonomous vehicles, cloud computing, data centers, and edge IoTs.
Covid Contact Tracing Integrated with Blockchain Technology

The product to be developed in this project is concerned to be a Mobile Application for route tracing based on user's location history. Each user is tracked using the application using GPS location. If a person tests positive for covid-19 then all person in contact with that person will be notified. User can register to this app using his/her Aadhar Card number. A unique id is generated for each user's while registering in this app. So, that with this unique id only, each person is identified and their information is updated. Here blockchain is used for storing user's data. When a person registers to the system their information will be stored in blockchain. Each person will get unique QR code so that when this person enters a store or organization they can scan QR code and get information about the user. The information about the containment Zone will be updated and if the person is coming from containment zone, organization can know about that. A machine learning tool is implemented to detect covid-19 from user's chest CT-scan image. User can upload image and check whether they have covid-19. Resnext network will be used for machine learning. Resnext is the neural network architecture for image classification.
Role of Indigenous Bacteria in Corrosion of Two Types of Carbon Steel

This study aimed to investigate the presence of both aerobic and anaerobic bacteria in a water sample collected from a nuclear power plant and establish if the indigenous bacteria or the products of their metabolic activities could initiate the corrosion of two different types of carbon steel (i.e., A570, 1045). The aerobic (heterotrophic, iron-oxidizing) and anaerobic (sulfate-reducing) bacteria were detected in low numbers in the water sample. Three bacterial strains were isolated by the enrichment procedure from this sample. Based on phenotypic and genotypic characteristics, the isolated bacteria were identified as Stenotrophomonas maltophilia IBBCn1 (MT893712), Stenotrophomonas maltophilia IBBCn2 (MT893713), and Bacillus thuringiensis IBBCn3 (MT893714). The bacteria existing in the water sample were able to initiate the corrosion of carbon steel A570 and 1045. The sulfate-reducing bacteria were detected in higher numbers than the heterotrophic bacteria and iron-oxidizing bacteria at the end of the biocorrosion experiments. The carbon steel coupons revealed macroscopic and microscopic changes in the surface characteristics, and these changes could be due to biofilm formation on their surfaces and the accumulation of the corrosion products. The corrosion rate varied from one type of carbon steel to another, depending on the incubation conditions and the chemical composition of the coupons.
Investigating the three-body fragmentation dynamics of water via dissociative recombination and theoretical modeling calculations

Dissociative recombination is the process in which a molecular ion recombines with an electron and then fragments into neutral products. This process has been studied in many experiments over the years at the ion storage ring CRYRING at the Manne Siegbahn Laboratory, Stockholm University. In this thesis the experimental methods and data analysis procedures used to investigate dissociative recombination are presented together with the results for several diatomic and triatomic ions. Cross sections and branching fractions of the different breakup channels have been determined. An imaging system was introduced to study the fragmentation channels in detail. The main focus is on the dynamics of the three-body breakup of triatomic dihydride ions. This work includes the results from the dissociative recombination of NO+, SH2+, SD2+, PD2+, NH2+, CH2+, H2O+ and H3+.
Unearthing the visions of a master: harmonic Maass forms and number theory

Together with his collaborators, most notably Kathrin Bringmann and Jan Bruinier, the author has been researching harmonic Maass forms. These non-holomorphic modular forms play central roles in many subjects: arithmetic geometry, combinatorics, modular forms, and mathematical physics. Here we outline the general facets of the theory, and we give several applications to number theory: partitions and q-series, modular forms, singular moduli, Borcherds products, extensions of theorems of Kohnen-Zagier and Waldspurger on modular L-functions, and the work of Bruinier and Yang on Gross-Zagier formulae. What is surprising is that this story has an unlikely beginning: the pursuit of the solution to a great mathematical mystery. Modular forms are central in contemporary mathematics. Indeed, modular forms play crucial roles in algebraic number theory, algebraic topology, arithmetic geometry, combinatorics, number theory, representation theory, and mathematical physics. The recent history of the subject includes (to name a few) great successes on the Birch and SwinnertonDyer Conjecture, Mirror Symmetry, Monstrous Moonshine, and the proof of Fermat’s Last Theorem. These celebrated works are dramatic examples of the evolution of mathematics; indeed, it would have been impossible to prophesy them fifty years ago. Instead of travelling back in time to the 1950s, our story (also see [165]) begins in 1887, in a village in India. Our mathematics, which is about harmonic Maass forms, begins with the legend (see [6, 39, 40, 110, 111, 133, 165]) of the great mathematician Srinivasa Ramanujan, and the mathematics he conjured from his death bed. 1. The gift from Kumbakonam Ramanujan was born on December 22, 1887 in Erode, a town about 250 miles southwest of Chennai (formerly known as Madras). He was a Brahmin, a member of India’s priestly caste. He grew up in Kumbakonam, a small town roughly 150 miles south of Chennai, where his father Srinivasa was a cloth merchant’s clerk. Kumbakonam, which is situated on the banks of the sacred Cauvery River, was (and remains today) a cosmopolitan center of the rural Indian district of Tanjore in the state of Tamil Nadu. As a boy, Ramanujan was a stellar student. Indeed, he won many awards at Town High School in Kumbakonam. Thanks to his exemplary performance, Ramanujan won a scholarship to Government College. His life took a dramatic turn when a friend loaned The author thanks the support of the NSF, the Manasse family, and the Hilldale Foundation. This is an exposition of the author’s lectures at the ’08 Harvard-MIT CDM Conference. Present day visitors to Town High School can view copies of these treasured awards. 1
High-redshift quasars and alternative spectra for primeval density fluctuations

Using the COBE normalization, the amplitude of the density fluctuation spectrum on small scales (galaxies and below) is discussed for several flat cosmological models advocated as alternatives to the standard CDM cosmogony. A comparison is made with the fluctuation amplitude inferred from the existence of high-redshift quasars. Low-Ω models are shown to provide enough small-scale power for λ<0.75, almost fully including the range obtained from tests on larger scales. For models containing a mixture of hot and cold dark matter (hybrid models) and for models with a non-scale-free primeval density fluctuation spectrum (tilted models) there is a potential lack of sufficient small-scale power. Spectral indices smaller than n∼0.75 or a hot dark matter fraction bigger than 25 per cent are not consistent with the quasar luminosity function at z=4
Perfluorotetradecanoic Acid (PFTeDA) Induces Mitochondrial Damage and Oxidative Stress in Zebrafish (Danio rerio) Embryos/Larvae

Industrial and consumer products, such as pesticides, lubricants, and cosmetics, can contain perfluorinated compounds (PFCs). Although many short-chain PFCs have been linked to physiological and behavioral changes in fish, there are limited data on longer-chain PFCs. The objective of this study was to determine the potential impact of perfluorotetradecanoic acid (PFTeDA) exposure on zebrafish (Danio rerio) during early developmental stages. We measured several endpoints including gene expression, mitochondrial bioenergetics, and locomotor activity in zebrafish. Survival, timing of hatching, and deformity frequency were unaffected by PFTeDA at the concentrations tested (0.01, 0.1, 1, and 10 µM) over a 7-day exposure period. The expression levels of mitochondrial-related genes (cox1 and mt-nd3) and oxidative stress-related genes (cat, hsp70, and hsp90a) were increased in larval fish with exposure to 10 µM PFTeDA; however, there was no change in oxidative respiration of embryos (i.e., basal respiration and oligomycin-induced ATP-linked respiration). Reactive oxygen species were reduced in larvae treated with 10 µM PFTeDA, coinciding with the increased transcription of antioxidant defense genes. Both the visual motor response test and light–dark preference test were conducted on 7 dpf larvae and yielded no significant findings. This study improves current knowledge regarding toxicity mechanisms for longer-chain PFCs such as PFTeDA.
Analysis of the van der Pol System With Coulomb Friction Using the Method of Multiple Scales

The effect of Coulomb friction on the nonlinear dynamics of a van der Pol oscillator is presented. A map from the magnitude of a peak to that of the succeeding valley in the time history is analytically described by considering both the exponential growth due to negative viscous damping and the switching condition due to Coulomb friction, which is a function of the sign of the velocity of the system. The steady states and their stability are clarified and the difference from those in the case without Coulomb friction is revealed. The addition of Coulomb friction makes the trivial equilibrium, which is an unstable focus in the system without friction, into a locally asymptotically stable equilibrium set. The branch of stable nontrivial steady states is not bifurcated from the trivial steady state by the effect of Coulomb friction and is different from the branch in the case without Coulomb friction, which is bifurcated from the trivial steady state through Hopf bifurcation. Furthermore, experiments are conducted and the theoretically predicted dynamics due to Coulomb friction is confirmed.
Connection between Lifestyle and Life Satisfaction of Older Adults in Relation to the Living Environment

BACKGROUND: Physical activity, healthy diet and avoiding risk factors are essential for a healthy lifestyle of older adults and for their life satisfaction. AIM: The aim of the research was to determine the connection between lifestyle and life satisfaction of older adults in relation to the living environment (home environment, institutional environment). METHODS: The research was based on a non-experimental quantitative research approach. We used the Oldwellactive standardised questionnaire to obtain lifestyle data and the SWLS scale to determine life satisfaction. The study included 656 older adults with an average age of 78.2 years who lived in a domestic (n = 380) and institutional environment (276). RESULTS: Older adults living in the home environment rate their lifestyle higher (AV = 2.38, SD = 0.77) than those in the institutional environment (AV = 2.31, SD = 0.88), the difference is not statistically significant p = 0.304). Eating habits with regard to the location of residence showed statistically significant differences in the consumption of meat, fish and fish products and milk and dairy products (p <0.001). In the institutional environment, older adults are more likely to perform balance-enhancing exercises, while they consume more alcohol in the home environment. By assessing conditional associations, we establish a positive association between life satisfaction and lifestyle (estimated value = 21,600, p = 0,000). Older adults living in the institutional environment are more satisfied with life (v= 23,097) than those living in the home environment (N= 21.774). CONCLUSION: The satisfaction of older adults with their life increases if an individual’s lifestyle improves. Older adults living in the institutional environment are more satisfied with life than those living in the home environment. In the future, it will be necessary to pay more attention to the study of living in a home environment, in accordance with the strategy of long-term care for the older adults.
The Behavior of Column during Constrained Buckling Process

The elastic Euler buckling of an inextensible column is confined in a plane, and subject to fixed end displacement, in the presence of rigid, frictionless side-walls which constrain overall lateral displacements. The whole deflection is divided into some typical columns because of the symmetry. The governing equations of constrained buckling mode and deflection about axial load are deduced, based on linearized differential equation of beam. Point and line contact models are introduced to describe the behavior of the column in constrained buckling process, including load capacity, buckling wave and reaction force. The analysis on the deflection of column is helpful to the research about possible post-buckling paths.
Enhancement of sensitivity in gas chemiresistors based on carbon nanotube surface functionalized with noble metal (Au, Pt) nanoclusters

Multiwalled carbon nanotube (MWCNT) films have been fabricated by using plasma-enhanced chemical vapor deposition system onto Cr–Au patterned alumina substrates, provided with 3nm thick Fe growth catalyst, for NO2 and NH3 gas sensing applications, at sensor temperature in the range of 100–250°C. Nanoclusters of noble metal surface catalysts (Au and Pt) have been sputtered on the surface of MWCNTs to enhance the gas sensitivity with respect to unfunctionalized carbon nanotube films. It was found that the gas sensitivity of Pt- and Au-functionalized MWCNT gas sensors significantly improved by a factor up to an order of magnitude through a spillover effect for NH3 and NO2 gas detections, respectively. The metal-functionalized MWCNT sensors exhibit very high gas sensitivity, fast response, reversibility, good repeatability, and sub-ppm range detection limit with the sensing properties of the MWCNT films tailored by surface catalyst used to functionalize the MWCNT sensors.
Modeling and Control of a Three-Dimensional Overhead Crane

In this paper, a new dynamic model of a three-dimensional overhead crane is derived based on a newly defined two-degree-of-freedom swing angle, The dynamic model describes the simultaneous traveling, traversing, and hoisting motions of the crane and the resulting load swing. For anti-swing control, this paper proposes a decoupled control scheme based on the dynamic model linearized around the stable equilibrium. The decoupled scheme guarantees not only rapid damping of load swing but also accurate control of crane position and load hoistin g for the practical case of simultaneous traveling, traversing, and slow hoisting motions, which is also proven by experiments.
Application of hybrid Trefftz finite element method to non‐linear problems of minimal surface

This investigation provides a hybrid Trefftz finite element approach for analysing minimal surface problems. The approach is based on combining Trefftz finite element formulation with radial basis functions (RBF) and the analogue equation method (AEM). In this method, use of the analogue equation approach avoids the difficulty of treating the non‐linear terms appearing in the soap bubble equation, making it possible to solve non‐linear problems with the Trefftz method. Global RBF is used to approximate the inhomogeneous term induced from non‐linear functions and other loading terms. Finally, some numerical experiments are implemented to verify the efficiency of this method. Copyright © 2006 John Wiley & Sons, Ltd.
Dummy Variables in Stepwise Regression

Abstract This note discusses a problem that might occur when forward stepwise regression is used for variable selection and among the candidate variables is a categorical variable with more than two categories. Most software packages (such as SAS, SPSSx, BMDP) include special programs for performing stepwise regression. The user of these programs has to code categorical variables with dummy variables. In this case the forward selection might wrongly indicate that a categorical variable with more than two categories is nonsignificant. This is a disadvantage of the forward selection compared with the backward elimination method. A way to avoid the problem would be to test in a single step all dummy variables corresponding to the same categorical variable rather than one dummy variable at a time, such as in the analysis of covariance. This option, however, is not available in forward stepwise procedures, except for stepwise logistic regression in BMDP. A practical possibility is to repeat the forward stepwis.