Miracle-dz/UniFAR-FTUs huggingface dataset:
Hexa-band MIMO CPW Bow-tie Aperture Antenna Using Particle Swarm Optimization

A MIMO hexa-band Bowtie Antenna for Wi-Fi is proposed. The MIMO antenna can operate at six frequency bands: 2.4, 4.4, 6.1, 8.5, 10.25 and 12.8 GHz. The MIMO antenna consists of four loaded bowtie hexa-band antennas having the same structure. Each single antenna element is loaded with six metallic strips as well as interconnected parasitic rectangular components. The presented HFSS simulations will show that the MIMO loaded antenna can operate at six frequency bands including 2.4 GHz by obtaining the return loss results, radiation patterns, and other antenna parameters. It will be shown also that the MIMO bowtie antenna has a very low mutual coupling at all the operating frequencies for the specific loaded metallic strips width which was obtained using Particle Swarm Optimization technique.
Use of an artificial neural network to detect anomalies in wireless device location for the purpose of intrusion detection

Summary form only given. This work proposes that wireless signals can be monitored for potential intruders based on signal-sensing, and presents a framework methodology for implementing such a system. By identifying potential threats in this way, actions could be taken early before the intruder has had the opportunity to compromise the network. On the leading edge of intrusion detection, and the focus of this research, is in the application of intelligent technology to predict patterns of anomalies that may point to deviant behavior. The specific goal is the proposal of applying an artificial neural network (ANN) or other intelligent system for the use of monitoring wireless radio signals to detect location trends. The typical wireless network user will use their device in a predictable pattern of locations. It would be possible to map the physical locations of users and train an intelligent system with existing location patterns. By developing the established usage information, it would then be possible for the intelligent system to pinpoint anomalies in wireless location.
Saint Venant and Navier-Stokes Models for Tsunami Simulations

Into the frame of the French TANDEM project (Tsunamis in the Atlantic and the English ChaNnel: Definition of the Effects through numerical Modelling) Principia has been working on the development and qualification of two in-house CFD software’s: the 2D EOLE-SV (Saint Venant) model for simulation of large scale tsunami propagation from the source up to coastal scale and the 3D EOLE-NS (Navier-Stokes) model dedicated to tsunami coastal impact modelling. This paper presents a large range of test cases carried out into the frame of the project and dedicated to the validation of numerical codes in various tsunami wave conditions. The main aspects of phenomena such as wave generation, propagation and coastal impact are investigated on academic situations. A real case simulation is concerned as well, the devastating 2011 Tohoku event which is compared with in-situ data.
Future colliders - Linear and circular

The completion of the Standard Model of particle physics by the discovery of a light Higgs boson at the LHC in 2012 triggered the debate about the best way forward to discover physics beyond the Standard Model. At the eve of the update of the European Strategy of particle physics, this article summarises the motivation and status of the different collider projects in particle physics at the energy frontier. This article reflects the status as of August 2018 and the reader is invited to follow closely updated information of the presented projects.
Search for new phenomena in events containing a same-ﬂavour opposite-sign dilepton pair, jets, and large missing transverse momentum in √ s = 13 TeV pp collisions with the ATLAS detector

Two searches for new phenomena in ﬁnal states containing a same-ﬂavour opposite-sign lepton (electron or muon) pair, jets, and large missing transverse momentum are presented. These searches make use of proton–proton collision data, collected during 2015 and 2016 at a centre-of-mass energy √ s = 13 TeV by the ATLAS detector at the large hadron collider, which correspond to an integrated luminosity of 14 . 7 fb − 1 . Both searches target the pair production of supersymmetric particles, squarks or gluinos, which decay to ﬁnal states containing a same-ﬂavour opposite-sign lepton pair via one of two mechanisms: a leptonically decaying Z boson in the ﬁnal state, leading to a peak in the dilepton invariant-mass distribution around the Z boson mass; and decays of neutralinos (e.g. ˜ χ 02 → (cid:4) + (cid:4) − ˜ χ 01 ), yielding a kinematic endpoint in the dilepton invariant-mass spectrum. The data are found to be consistent with the Standard Model expectation. Results are interpreted in simpliﬁed models of gluino-pair (squark-pair) production, and provide sensitivity to gluinos (squarks) with masses as large as 1.70 TeV (980 GeV).
Pencil-Code special edition: modelling supernova driven turbulence

High Mach number shocks are ubiquitous in interstellar turbulence. The Pencil Code is particularly well suited to the study of magnetohydrodynamics in weakly compressible turbulence and the numerical investigation of dynamos because of its high-order advection and time evolution algorithms. However, the high-order algorithms and lack of Riemann solver to follow shocks make it less well suited to handling high Mach number shocks, such as those produced by supernovae (SNe). Here, we outline methods required to enable the code to efficiently and accurately model SNe, using parameters that allow stable simulation of SN-driven turbulence, in order to construct a physically realistic galactic dynamo model. These include the resolution of shocks with artificial viscosity, thermal conductivity, and mass diffusion; the correction of the mass diffusion terms; and generalization of the Courant condition to include all source terms in the momentum and energy equations. We test our methods with the numerical solution of the 1D Riemann shock tube (Sod 1978), also extended to a 1D adiabatic shock with parameters and Mach number relevant to SN shock evolution, including shocks with radiative losses. We extend our test with the 3D numerical simulation of individual SN remnant evolution for a range of ambient gas densities typical of the interstellar medium and relate these to the analytical solutions of Sedov-Taylor (adiabatic) and the snowplough and Cioffi et al. (1988) results incorporating cooling and heating processes.
Energy-Efficient Task Offloading for Time-Sensitive Applications in Fog Computing

Fog computing has attracted considerable attention to meet the location awareness and real-time response requirements of various applications. However, compared to cloud computing, fog devices have relatively limited power supplies, computation resources, and communication resources, raising design challenges to meet real-time response requirements. To balance response time and energy consumption for multiple fog devices running multiple applications, this work presents an energy-efficient offloading decision mechanism and an offloading dispatcher to dispatch applications to the corresponding device by effectively managing the computation and communication resources of all devices in a fog computing environment. The offloading tasks are composed of several subtasks with an end-to-end deadline. To meet the response time requirements of such applications, a run-time scheduler with an end-to-end latency schedulability consideration is also presented. Evaluation results show considerable energy savings using this framework and a real platform study provides validation.
Linear and nonlinear vibrations of inhomogeneous Euler-Bernoulli beam

Dynamic problems arising from the Euler-Bernoulli beam model with inhomogeneous elastic properties are considered. The method of Green\'s function and perturbation theory are employed to find the deflection in the beam correct to the first-order. Eigenvalue problems appearing from transverse vibrations of inhomogeneous beams in linear and nonlinear cases are also discussed.
Cosmic microwave background as a probe of dark relics

I argue how cosmology (and the CMB in particular) is sensitive to even extremely suppressed interaction rates of (meta)stable species present in the cosmic soup. The case of dark relics decaying either in a dark sector or via some tiny visible branching ratio into visible form are reviewed. Applications to evaporating and merging primordial black holes are also covered. Finally, I conclude with some considerations on the CMB sensitivity to dark radiation.
Sample sizes to estimate proportions and correlation

Very often statisticians have to deal with the problem of sample size calculation. However this is one of the most difficult questions to be answered since it depends on many considerations, assumptions and restrictions on the real problem being solved. In this paper we develop some methods, based on credible intervals, to calculate sample sizes for proportions and correlations.
Reparameterization Of Autoregressive Distributed Lag To Vector Error Correction Model To Study Youth Unemployment In Kenya

The research provides statistical basis for assessing and prioritizing investment policies, initiatives and projects to maximise youth employment by scrutinizing influence of macroeconomic variables. The macroeconomic variables considered are gross domestic product (GDP), external debt (ED), foreign domestic investment (FDI), private investment(PI), youth unemployment(YUN), literacy rate (LR), and youth population (POP). The research approach taken uses predictive analytics such as impulse response functions and variance decomposition from vector error corrections model (VECM) and cointegration regression in autoregressive distributed lag (ARDL) to identify key determinants of youth unemployment to prioritize investment. This research analyzes reparameterization of ARDL to VECM through cointegration of time series. First, the time series data undergo logarithm transformation to reduce outlier effects and have elasticity interpreted in terms of percentage. The study scrutinizes the effects of macroeconomic shocks on youth unemployment in Kenya. For this purpose, the Augmented Dickey-Fuller test is conducted to assess stationarity of the variables used. Then Johansen Cointegration test is carried out to establish the rank at which the series are cointegrated. The unit root test has been performed on YUN, GDP, ED, FDI, PI, and LR, and POP to assess stationarity. The cointegrated dynamic ARDL model is estimated using ordinary least squares (OLS) and effects of variables and their lags interpreted. The results reveal that Gross Domestic Product (GDP) and its second lag have negative effect on youth unemployment, that is, one unit increase in (GDP) and GDP lag 2 reduce youth unemployment by 0.207922% and 0.2052705% respectively. Also, one unit of External Debt (ED) and ED lag 2 reduce youth unemployment by 0.07303% and 0.009116% respectively. Furthermore, unit increase in one year lag of youth literacy rate reduces youth unemployment by 0.0892691%. Lastly, lag one and three of population reduce youth unemployment by 0.2590455% and 4.3093119% respectively. The Johansen Cointegration Analysis has revealed three long run relationships which can be interpreted as a GDP effect; External Debt effect and Foreign Direct Investment effect relations. A structural VECM has been described through restrictions taken from the Cointegration Analysis. Based on the results of the Impulse-Response Function and variance decomposition analyses of the Structural VECM, it is concluded that GDP, literacy level, population, and FDI shocks have significant
The Sensable City: A Survey on the Deployment and Management for Smart City Monitoring

In last two decades, various monitoring systems have been designed and deployed in urban environments, toward the realization of the so called smart cities. Such systems are based on both dedicated sensor nodes, and ubiquitous but not dedicated devices such as smart phones and vehicles’ sensors. When we design sensor network monitoring systems for smart cities, we have two essential problems: node deployment and sensing management. These design problems are challenging, due to large urban areas to monitor, constrained locations for deployments, and heterogeneous type of sensing devices. There is a vast body of literature from different disciplines that have addressed these challenges. However, we do not have yet a comprehensive understanding and sound design guidelines. This paper addresses such a research gap and provides an overview of the theoretical problems we face, and what possible approaches we may use to solve these problems. Specifically, this paper focuses on the problems on both the deployment of the devices (which is the system design/configuration part) and the sensing management of the devices (which is the system running part). We also discuss how to choose the existing algorithms in different type of monitoring applications in smart cities, such as structural health monitoring, water pipeline networks, traffic monitoring. We finally discuss future research opportunities and open challenges for smart city monitoring.
Dual-wavelength intracavity Raman laser driven by a coaxially pumped dual-crystal fundamental laser.

An actively Q-switched dual-wavelength intracavity Raman laser based on a coaxially pumped dual-crystal (Nd:YAG and b-cut Nd:YAP) fundamental configuration was theoretically and experimentally investigated. Stable dual-wavelength Stokes output at 1176 nm and 1195 nm was subsequently obtained by the Raman conversion from an a-cut YVO4 crystal. A total average power of 1.8 W was produced at 10 kHz pulse repetition frequency under an incident diode pump power of 15.8 W, in which the power levels at the two Stokes wavelengths were nearly equivalent. The power proportion and the interval between the dual-wavelength Stokes pulses could be manipulated actively by changing the pump focal position or pump wavelength.
Spectroscopic, Electronic and Non-Linear Properties of 2-[3-Phenyl-4,5-dihydro-1H-1,2,4-triazol-5-one-4-yl]-phenoxyacetic Acide

In this study, 2-[3-phenyl-4,5-dihydro-1 H -1,2,4-triazol-5-one-4-yl]-phenoxyacetic acide was optimized by using B3LYP/6-311G+(d,p) and HF/6-311G+(d,p) basis sets. Firstly , calculated IR data of compound were calculated in gas phase by using of 6-311G+(d,p) basis sets of B3LYP and HF methods and are multiplied with appropriate adjustment factors. Theoretical infrared spectrums are formed from the data obtained according to B3LYP and HF methods. Experimental IR values and theoretical values were compared. In the identification of calculated IR data was used the veda4f program. Also, 1 H-NMR and 13 C-NMR spectral data values were calculated according to the method of GIAO using the program package Gaussian G09W Software. Experimental and theoretical values were inserted into the graphic according to equitation of δexp=a+b. δ calc. The standard error values were found via SigmaPlot program with regression coefficient of a and b constants. Furthermore, molecular structure, HOMO and LUMO energy analysis, total static dipol moment (μ), the mean polarizability ( ), the anisotropy of the polarizability (Δα), the mean first-order hyperpolarizability ( ), electronegativity ( c ), hardness ( h ), molecular electrostatic potential maps (MEP) and Mulliken charges of 2-[3-phenyl-4,5-dihydro-1 H -1,2,4-triazol-5-one-4-yl]-phenoxyacetic acide molecule have been investigated by using B3LYP and HF levels with the 6-311G+(d,p) basis set.
CALCULUS OF OPERATORS: COVARIANT TRANSFORM AND RELATIVE CONVOLUTIONS

This paper outlines a covariant theory of operators defined on groups and homogeneous spaces. A systematic use of groups and their representations allows to obtain results of algebraic and analytical nature. The consideration is systematically illustrated by a representative collection of examples. Keywords: Lie groups and algebras, convolution operator, relative convolution, representation theory, pseudo-differential operators, PDO, singular integral operator, SIO, the Heisenberg group, SL(2,R), induced representation, Fock-Segal-Bargmann (FSB) representation, Shrodinger representation, covariant transform, contravariant transform, wavelet transform, square integrable representations, reproducing kernel, Fourier-Wigner transform, deformation quantization, Bergman space, Berezin's symbol, Wick symbol, Schwartz kernel, Toeplitz operator, operators of local type, Simonenko's localisation, reproducing kernel thesis, Dynin group, twisted convolution, star product, Groenewold-Moyal, composition operator.
Low-Cost CNN Design for Intelligent Surveillance System

In today's world, video surveillance appears everywhere in our life. The challenge for a video surveillance system is to recognize the object of interest for analysis. The convolutional neural network (CNN) models achieve high accuracy on image recognition, but the models require powerful calculations. The models cannot be applied to most smart surveillance systems directly. In this paper, we propose a low-cost CNN design for the application of surveillance systems. Instead of using GPUs, we use a hardware accelerator called Neural Compute Stick (NCS) accompanied with the Rock64 to build the system. The NCS is a low-cost and low-power USB device, which has the advantages in the high-speed calculation of images. As a result, we use the NCS to load the Single Shot MultiBox Detector (SSD) network for human detection. Our system can get each detected image in 0.15 sec. It is six times faster than other single-board surveillance systems. Furthermore, the cost of building the real-time surveillance system is less than $100. Therefore, our system can achieve a low-cost and high-performance intelligent surveillance system.
Impact of VNF placements on QoE monitoring in the cloud

The fast growth of video streaming is responsible for a huge amount of traffic over the past few years. Because of the variety of video content on the Internet, a potential market is emerging for video providers. However, a rapid increase in video traffic and users poses challenges for network operators maintaining user expectation. To address this problem, network operators need a mechanism to monitor the quality of experience (QoE) perceived by the user. This allows reacting to quality degradation to improve the service. With the paradigm of network function virtualization, network operators are able to deploy such a video monitoring function in the cloud. In this work, we investigate the feasibility of deploying a virtual network function (VNF) for video buffer and QoE monitoring on the Amazon Web Service cloud.
Random regression models for estimation of covariance functions of growth in Iranian Kurdi sheep

Body weight (BW) records (n=11,659) of 4961 Kurdi sheep from 215 sires and 2085 dams were used to estimate the additive genetic, direct and maternal permanent environmental effects on growth from 1 to 300 days of age. The data were collected from 1993 to 2015 at a breeding station in North Khorasan province; Iran. Genetic parameters for growth traits were estimated using random regression test-day models. The residual variances were modeled by a step function with various classes. The model 16 with a polynomial of 3 order for fixed effect, 6 order for direct genetic effect, 6 order for direct permanent environmental and 6 order for maternal permanent environmental effects with the lowest Bayesian information criterion (BIC) was considered to be the best model. The direct heritability ranged from 0.01 at day 1 of age to 0.36 at 300 days of age. Genetic correlations ranged from 0.03 to 0.98 for body weight between different days of age. The small value of genetic correlation (0.03) among early (day 1) and late (300 days) weights showed that early weights were not under the same genetic control as weights at older ages. Genetic progress was realized and the estimated genetic parameters obtained could be used for further improvement of sheep and small ruminants.
Emotional Speech Recognition Based on the Committee of Classifiers

This article presents the novel method for emotion recognition from speech based on committee of classifiers. Different classification methods were juxtaposed in order to compare several alternative approaches for final voting. The research is conducted on three different types of Polish emotional speech: acted out with the same content, acted out with different content, and spontaneous. A pool of descriptors, commonly utilized for emotional speech recognition, expanded with sets of various perceptual coefficients, is used as input features. This research shows that presented approach improve the performance with respect to a single classifier.
Evaluasi Situs Web Pemerintah Menggunakan Metode Webqual Dan Importance-Performance Analysis (IPA) (Studi Kasus: Situs Kecamatan Lowokwaru-Malang)

Perkembangan teknologi informasi memberikan dampak yang begitu signifikan terhadap segala bentuk aktivitas manusia, salah satunya hadirnya Internet sebagai akses informasi secara bebas dan mudah tanpa dibatasi ruang dan waktu. Internet dalam konsteks kepemerintahan memberikan pengaruh positif terhadap kinerja pemerintah dalam upaya mendukung tata kelola pemerintah yang baik (good governance). Situs web kecamatan lowokwaru merupakan acuan masyarakat dalam mendapatkan berbagai infomasi, maka dari itu situs ini harus mampu menyajikan situs yang profesional dan berkualitas yang berdasarkan harapan atau persepsi penggunanya dengan melakukan evaluasi. Evaluasi terhadap situs Kecamatan Lowokwaru menggunakan metode WebQual 4.0 dan Importance Performance Analysis (IPA). Penelitian ini menggunakan WebQual 4.0 sebagai kuesioner yang terdiri atas tiga dimensi yang berupa dimensi Usability, Information Quality, dan Service Interaction. Sedangkan IPA digunakan sebagai analisis yang berupa tingkat kesesuaian, kesenjangan (GAP), dan kuadran. Hasil kuesioner disebarkan kepada 125 orang dengan menggunakan teknik purposive sampling dengan kriteria responden adalah warga Lowokwaru dan pernah menggunakan situs web ini sebelumnya. Hasil yang didapatkan dari evaluasi bahwa kualitas dari situs web Kecamatan Lowokwaru memiliki tinggat kesesuaian 99,43% yang disimpulkan responden merasa mendekati kepuasan terhadap pelayanan situs. Hasil dari analisis tingkat kesenjangan (GAP) diperoleh -0,026 yang disimpulkan bahwa responden merasa kualitas kinerja situs kurang dan belum dapat memenuhi kepentingan. Hasil analisis kuadran didapatkan 1 atribut pada kuadran I yang artinya prioritas utama untuk perbaikan karena tingkat kepentingan sangat tinggi, 12 atribut pada kuadran II yang artinya pertahankan prestasi karena tingkat kinerja memenuhi kepentingan, 8 atribut pada kuadran III yang artinya prioritas rendah karena tingkat kepentingan dan kinerja rendah, 1 atribut pada kuadran IV yang artinya berlebihan karena tidak berkepentingan tinggi namun kinerja sangat tinggi.
Review of self-induced roll oscillations and its attenuation for low-aspect-ratio wings

Micro aerial vehicles are currently receiving growing interest because of their broad applications in many fields. In their flight tests, the onset of unwanted large amplitude roll oscillations was reported, which resulted in difficulties with flight control, and this has become one of the major challenges of current micro aerial vehicles design. In this review type of article, the low Reynolds number flow characteristics of a low-aspect-ratio wing are reviewed, and the self-induced roll oscillations are discussed with special attention being payed to the interaction between the three-dimensional flow structure and wing in reciprocatively rolling motion. The roll attenuation methods are introduced via flow control approaches, which can suppress the roll oscillations effectively by manipulating the leading-edge flow separation and tip vortices of the low-aspect-ratio wings.