Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Brushless Dc Motor in the Production Delivery System

The product delivery system is normally powered by a DC motor. Permanent magnet brushless DC motor small sized, high power density, simple structure, is currently being widely used in a variety of transmission systems. In this paper, a permanent magnet motor position sensorless actuator for the production of a delivery system is studied. The actuator position control algorithm of the EGR system of the DC motor is studied and the lag characteristic test is carried out. Through the use of symmetrical triangular wave duty cycle input and output control signals. The corresponding duty cycle characteristics of the switch indicate that the actuator has a significant hysteresis characteristic and should not be used in an open loop control. A double closed-loop control algorithm has been design, including two control loop position loops and current loops, to study the PT1 filtering algorithm and the anti-saturation PID algorithm of the basic control module. The stepping test and steady-state test results show that the steady-state error of the control algorithm can achieve fast and smaller step response.
Developing a Network Science Based Approach to Cyber Incident Analysis

Abstract : Adversaries that conduct cyber crime continue to enjoy a significant head start on analysts who are tasked with discovering important information which can deter and ultimately defeat their attacks. A major reason for this problem is the slow process of the current analysis methodology. In this paper we present a new method of incident analysis which is artefact driven and not process driven. In our method, key aspects of the incident are revealed dynamically through the tracking of the interactions between the artefacts. With the discovered information, many attacks that are in progress can be stopped and new incidents can be prevented in a fraction of the time it would take to discover this information through traditional analysis. This new method builds a community for each individual incident found within the network. We evaluate our approach on two botnet data traces. Our preliminary results show that the communities built based on the artefact interactions shed light on the roles of each contributing botnet participant. Discovering these roles gives the analyst expedient options in responding to the attack. We believe this work has the potential to significantly help cyber incident analysis by reducing the time gap between identifying an incident and discovering actionable intelligence from it.
Fabrication of single crystal silicon resonators with narrow gaps

This paper reports a novel method for fabrication of micromechanical resonators with very narrow gaps for electrostatic actuation. Vertical 50-180 nm wide gaps are realized using sacrificial etching of oxide sandwiched between APCVD deposited epipoly and patterned single crystal silicon structure layer of SOI wafer.
A deep bidirectional long short-term memory approach applied to the protein secondary structure prediction problem

One of the most important open problems in science is the protein secondary structures prediction from the protein sequence of amino acids. This work presents an application of Deep Recurrent Neural Network with Bidirectional Long Short-Term Memory (DBLSTM) cells to this problem. We compare the performance of the proposed approach with the state-of-the-art approaches. Despite the lower complexity of the proposed approach (i.e. Neural Network architecture with fewer neurons), results showed that the DBLSTM could achieve a satisfactory level of accuracy when compared with the state-of-the-art approaches. We also studied the behavior of Gradient Optimizers applied to the DBLSTM. Furthermore, this paper concentrates on well-known quantitative analytical methods applied to evaluate the proposed approach.
Experimental verifications of direct lightning protection in flammable liquid storage tanks: Cases of carbon-steel and aluminum geodesic domes

This paper presents experimental and theoretical results of laboratory tests concerning the simulations of continuing current effects from typical cloud-ground lightning. The tests were carried out from High Power Laboratory of Institute of Energy and Environment of University of Sao Paulo. Carbon-steel and aluminum plates from the cover of geodesic domes of a typical tank were used in the tests. Results of the tests are presented considering several conditions, as well as their theoretical results, which were compared with those values presented in the main references dealing with related subjects, such as plates used in aircraft.
Comparison between numerical relativity and a new class of post-Newtonian gravitational-wave phase evolutions: The nonspinning equal-mass case

We compare the phase evolution of equal-mass nonspinning black-hole binaries from numerical relativity (NR) simulations with post-Newtonian (PN) results obtained from three PN approximants: the TaylorT1 and T4 approximants, for which NR-PN comparisons have already been performed in the literature, and the recently proposed approximant TaylorEt. The accumulated phase disagreement between NR and PN results over the frequency range Mω=0.0455 to Mω=0.1 is greater for TaylorEt than either T1 or T4, but has the attractive property of decreasing monotonically as the PN order is increased.
M ar 2 01 0 Constructing non-perturbative gauges using correlation functions

Gauge fixing in the non-perturbative domain of non-Abelian gauge theories is obstructed by the Gribov-Singer ambiguity. To compare results from different methods it is necessary to resolve this ambiguity explicitly. Such a resolution is proposed using conditions on correlation functions for a family of non-perturbative Landau gauges. As a consequence, the various results available for correlation functions could possibly correspond to different non-perturbative Landau gauges, discriminated by an additional nonperturbative gauge parameter. The proposal, the necessary assumptions, and evidence from lattice gauge theory calculations, are presented in detail.
Does the media spotlight burn or spur innovation?

We examine the effect of media coverage on firm innovation. Using a comprehensive sample of corporate news coverage and patenting over the period from 2000 to 2012, we find a negative relation between media coverage and firm innovation. We further document the two offsetting economic mechanisms underlying the impact of media coverage on innovation: the media’s role of short-term pressure on managers relates negatively to innovation, while its role of mitigating financial constraints is positively associated with innovation. Our findings provide new insights into the effect of news coverage on firms’ long-term growth.
Efficient Modeling and Analysis of the Multiple Air Hole Effect in Substrate-Integrated Waveguide

A wide spectrum of potential applications using substrate-integrated waveguide (SIW) technologies in conjunction with air hole regions is introduced, and an efficient analysis method to cope with the multiple air hole effect in the SIW is proposed where we present the generalized wave equation satisfying the boundary and phase matching conditions to solve the multiple air interface problem, which provides highly accurate dispersion characteristics over the whole frequency band. The proposed approach is compared with a commercial software and verified by measurement results from the fabricated samples using Taconic/RF30-7H substrate, and is confirmed to give excellent agreement. Hence, the proposed method is effective for optimum design of SIW circuits for the purpose of low-loss and broadband applications.
Inductive power transfer system with improved characteristics

One of the fundamental drawbacks of the conventional LCL resonant inductive power transfer (IPT) system is the inverter highly distorted ac-current. As a consequence, the on-state and switching losses are increased. In order to overcome these disadvantages, this paper introduces an improved IPT system. The proposed improvement comprises notch filters, along with LCL filter in the inverter side of the IPT system. The performance of the conventional and the proposed IPT system is verified by simulation results. Heavy load and light load operation conditions are taken into account. In the end, a detailed power loss analysis of the inverter is presented for both IPT systems. Simulation results as well as power loss analysis verify that the proposed IPT system reduces the switching losses, the on-state losses, the RMS value and the total harmonic distortion of the converter current.
Genome Sequencing of Museum Specimens Reveals Rapid Changes in the Genetic Composition of Honey Bees in California

Abstract The western honey bee, Apis mellifera, is an enormously influential pollinator in both natural and managed ecosystems. In North America, this species has been introduced numerous times from a variety of different source populations in Europe and Africa. Since then, feral populations have expanded into many different environments across their broad introduced range. Here, we used whole genome sequencing of historical museum specimens and newly collected modern populations from California (USA) to analyze the impact of demography and selection on introduced populations during the past 105 years. We find that populations from both northern and southern California exhibit pronounced genetic changes, but have changed in different ways. In northern populations, honey bees underwent a substantial shift from western European to eastern European ancestry since the 1960s, whereas southern populations are dominated by the introgression of Africanized genomes during the past two decades. Additionally, we identify an isolated island population that has experienced comparatively little change over a large time span. Fine-scale comparison of different populations and time points also revealed SNPs that differ in frequency, highlighting a number of genes that may be important for recent adaptations in these introduced populations.
Guidelines for Medial Patellofemoral Ligament Reconstruction in Chronic Lateral Patellar Instability

The standard surgical approach for chronic lateral patellar instability with at least two documented patellar dislocations is to stabilize the patella by using an anatomic medial patellofemoral ligament reconstruction with a mini-open technique and a graft that is stronger than the native ligament to compensate for the uncorrected predisposing factors underlying patellar instability. Even though medial patellofemoral ligament reconstruction has evolved notably during the past two decades, many aspects of the surgical technique need to be refined, and more information is needed toward this end. Adequate positioning of the graft on the femur, as well as inducing the appropriate degree of tension, are critical steps for the overall outcome of medial patellofemoral ligament reconstruction. Moreover, it is necessary in some cases to pair medial patellofemoral ligament reconstruction with other surgical procedures to address additional patellar instability risk factors, such as trochlear dysplasia, malalignment, and patella alta.
Evaluation of Chemerin and Apelin adipokines in Obese and Non-obese Type 2 Diabetes Mellitus Patients

The aim of this study was to investigate whether chemerin and apelin play an important role in the etiology of insulin resistance and type 2 diabetes mellitus. Seventy type 2 diabetes mellitus (T2DM) patients randomly assigned into two subgroups, 35 non obese (BMI <30) diabetic group 1 and 35 obese (BMI > 30) diabetic group 2 with another 50 healthy control volunteers, divided into two subgroups, 25 non obese (BMI > 30) control group 1 and 25 obese (BMI > 30) control group 2. Levels of chemerin, apelin, free fatty acids (FFA), fasting glucose, fasting insulin, HbA1c, homeostasis model assessment of IR (HOMA-IR), homeostasis model assessment of β-cell function (HOMA-B%) were examined. The results showed significant (p<0.05) reduction of chemerin conc. in obese control group 2 as compared to non-obese control group 1. The serum conc. of apelin of non-obese diabetic group 1 was significantly (p<0.05) higher as compared with non-obese control group 1, while it was significantly (p<0.05) lower in obese diabetic group 2 as compared to obese control group 2. There was no significant difference in the serum conc. of FFA between control and diabetic groups. The significant alterations in sera levels of chemerin, apelin of diabetic patients were suggested a possible role of these adipokines in the pathogenesis of the obesity linked insulin resistance and T2DM.
Can we determine the semantics of collocations without using semantics

The extraction of collocations from corpora has been actively worked on since the late eighties. However, so far, an important task of collocation processing, namely the semantic interpretation of the collocate, did not receive much attention, although the semantics of a given word when used as collocate very often varies from the semantics of the same word when used in a free co-occurrence. In this paper, we tackle this problem. Our aim is the automatic semantic disambiguation of collocates, or, more precisely, the classification of collocations with respect to the typology of lexical functions (LFs) introduced in the Explanatory Combinatorial Lexicology. The two main questions underlying our research that seeks a scalable solution independent of any external semantic resources are: (i) how well can we semantically classify collocates without the use of explicit semantic features; and (ii) to what extent can we dispense with explicit lexical information when classifying collocates. To answer these two questions, we carried out machine learning experiments in which we used different training feature sets and LF typologies of different abstraction. So far, we worked on Spanish verb-noun and noun-adjective collocations from the lexicographic field of emotion nouns. However, our approach is, strictly speaking, language-independent.
Self-employment as atypical or autonomous work: diverging effects on political orientations

It is often held that the self-employed are an economically conservative, political right-wing class. Previous studies, however, have primarily dealt with self-employed workers as a relatively monolithic social class with shared interests as entrepreneurs and (potential) employers. But, with its recent rise, self-employment has developed into a heterogeneous employment type, with a growing number of dependent and precarious self-employed. In this article, the political preferences of people in selfemployment are compared to the preferences of employees on temporary contracts. In doing so, hypotheses are tested from both classic theories on class voting, as well as theories on job precariousness and labor market vulnerabilities. For this purpose, European Social Survey Round 4 (ESS-4) data on eight West European countries are analyzed. The findings suggest that particular segments of selfemployment share the characteristics of other forms of ‘atypical’ work, not only with respect to labor market insecurities, but also regarding the political orientations associated with such insecurities.
Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo

Predictive uncertainty is crucial for many computer vision tasks, from image classification to autonomous driving systems. Hamiltonian Monte Carlo (HMC) is an inference method for sampling complex posterior distributions. On the other hand, Dropout regularization has been proposed as an approximate model averaging technique that tends to improve generalization in large scale models such as deep neural networks. Although, HMC provides convergence guarantees for most standard Bayesian models, it does not handle discrete parameters arising from Dropout regularization. In this paper, we present a robust methodology for predictive uncertainty in large scale classification problems, based on Dropout and Stochastic Gradient Hamiltonian Monte Carlo. Even though Dropout induces a non-smooth energy function with no such convergence guarantees, the resulting discretization of the Hamiltonian proves empirical success. The proposed method allows to effectively estimate predictive accuracy and to provide better generalization for difficult test examples.
Optical Music Recognition using Hidden Markov Models

Optical Music Recognition software (OMR) is software that has the ability to read sheet music. This type of software can be very useful as it can convert scanned music into a digital form that directly corresponds to music instead of having to save scanned music as an image. Some OMRs also have the ability to create a sound file from a scanned sheet of music, without requiring a trained musician to play the piece. Thus this type of software can be incredibly useful for students learning to read sheet music. Optical Character Recognition software (OCR) is a similar but much more commonplace software that converts images of text into a form that can be edited, such as a text file or a pdf. OCR software heavily influences OMR software, however there are different challenges for each type of software. Despite this, understanding OCR algorithms can be beneficial for implementing OMRs. There are many different ways OMRs can be implemented, and each implementation has its own strengths and weaknesses. The goal of this research was to investigate a particular mechanism that is used for the identification process of OMRs called hidden Markov models (HMM). HMMs are a mechanism that are trained by showing examples of items to be identified. Previous implementations of HMMs in OCRs for handwriting have been shown to be very successful [1]. Since sheet music appears to be of the same difficulty as handwritten text, it was assumed that HMMs in OMRs would be just as successful. However, previous implementations of OMRs using HMMs have been unsatisfactory compared to the other algorithms currently in use [12]. In this paper, we investigate whether an increase in the amount of training an HMM receives, could improve the accuracy of HMMs and hopefully provide a more useful mechanism for OMRs.
An Autopsy Study on Coronary Atherosclerosis with Morphological and Morphometric Analysis

Objectives: Atherosclerosis is the pathology that underlies Coronary artery disease which can be best studied on autopsy. The study aims to evaluate coronary atherosclerosis by means of morphological and morphometric analysis. Study also intends to assess the correlation between morphometric parameters and morphological grades of coronary atherosclerotic lesions. Methodology: Study was carried out on 150 autopsy cases of both sexes in the 30-60 years age group. Representative bit of each coronary artery was taken and processed conventionally. Morphological assessment of atherosclerosis was done according to AHA (American Heart Association) criteria while two morphometric parameters namely percentage of luminal narrowing and intima-to-media ratio (IMR) were used to evaluate degree of atherosclerosis. Results: Study included 114 males and 36 females. Coronary atherosclerosis was present in 122 cases (81.3%). Values of both morphometric parameters showed a linear increase with each higher grade of atherosclerosis in all three coronaries. Conclusion: The study results indicate that the morphometric parameters correlate with the morphological grades of atherosclerosis in all three coronaries. Hence these parameters can serve as reliable indices for assessing the severity of atherosclerotic lesions supplementing the histomorphological analysis.
Security enhancements on Home Area Networks in smart grids

Security issues are the major concerns in the deployment of the smart grid system. One proposal of Secure, Intuitive and Low-cost Device Authentication (SILDA) mechanism designed for the Home Area Networks (HANs) in smart grid has presented an authentication protocol which is resilient against insider attackers, man-in-the-middle (MITM) attacks and impersonation attacks. However, it encounters a problem with the key management and has been proved to be vulnerable to reply attacks and unknown key sharing attacks. In this paper, we propose an Enhanced Secure Device Authentication (ESDA) scheme for the HAN in smart grid. By our proposal, t he vulnerability of the SILDA protocol can be overcome. The Burrows-Abadi-Needham Logic (BAN Logic) has been used to provide a proof on the logical correctness of the proposed scheme.
Biochemical and hematological diagnostic indices of homozygous sickle cell anemia patients in the steady state

The aim of the study was to investigate the efficacy of the use of some biochemical and hematological clinical indices as diagnostic parameters essential to the treatment and management of homozygous sickle cell anemia in the steady state. Twenty (20) healthy, homozygous AA human subjects and twenty (20) homozygous sickle cell anemia patients in the steady state were subjected to Hemoglobin genotype, packed cell volume (PCV%), white blood cell total (WBCTotal), aspartate amino transferase (AST), serum alkaline phosphatase (AP), serum triglyceride (TG), serum total cholesterol (C), Total bilirubin (Tb), and Random blood glucose (RBG) analyses. The experimental design is a single factor completely randomized design (CRD). Results recorded of the healthy human subjects and sickle cell anemia patients, expressed as mean ± standard error (S.E) (unit) were as follows : (PCV%) 45 ± 0.1 and 23.87 ± 0.2, (WBCTotal) 5.17 ± 3.94 and 11.27 ± 3.94 (x 10 3 /μl), (AST) 9.18 ± 1.16 and 19.5 ± 2.16 (U/l), (AP) 140±1.2 and 215.2 ± 1.3 (IU/L), (TG) 75 ± 1 and 117.87 ± 1.2 (mg/dl), (C) 185 ± 2.3 and 140.5 ± 1.2 (mg/dl), (Tb) 0.7 ± 0.1 and 2.8 ± 0.2 (mg%), (RBG) 82.18 ± 4.16 and 90.87± 4.23 (mg/dl), respectively. The mean values of WBCTotal, AST, AP, TG and RBG were significantly higher (p<0.05) : but those of PCV% and C were significantly lower (p<0.05) in sickle cell anemia patients compared with healthy human subjects. Incidence of homozygous sickle cell anemia in the steady state correlated positively and significantly (p<0.05) with significant increase (p<0.05) in WBCTotal, AST, AP, TG and RBG; and significant decrease (p<0.05) in PCV% and C. The statistical regression and correlation between serum triglyceride and PCV% of the patients were significant (p<0.05), r = 0.983. Observed values of PCV% could be used with high precision to predict serum triglyceride levels of homozygous sickle cell anemia patients in the steady state.
Spectrum sensing for the unlicensed band cognitive radio

If several different systems operate in the same frequency band, in order to effectively use the available spectrum there has to be some coordination between them. The coordination is especially important if the systems are not designed to operate in such an environment. The initial and a very important part of the coordination process is the acquiring of the spectrum usage map or spectrum sensing. The paper describes the spectrum sensing experimentation in the unlicensed 2.4 GHz band during the WiFi transmission. It shows the experiment flow and the obtained results. The experiments were performed at NITOS testbed at the University of Thessaly, Greece.