Miracle-dz/UniFAR-FTUs huggingface dataset:
Dyadic Green’s Function for the Tensor Surface Conductivity Boundary Condition

Dyadic Green’s function (DGF) for the tensor surface conductivity boundary condition (TSCBC) is formulated in this paper. Electrically biased spatially dispersive graphene sheet, densely packed graphene strips under electric bias, and magnetically biased graphene nano-patch array can be treated as the special cases of the formulation by assigning proper values to the components of the surface conductivity. In the proposed problem, due to the anisotropic nature of surface conductivity, TE and TM modes are coupled. Based on this fact, scattering Green’s functions in the upper and lower regions of the interface are expanded in terms of an appropriate linear combination of vector wave functions. The unknowns are obtained after applying the necessary boundary conditions on the tangential components of the electric and magnetic Green’s functions. The validity of the technique is verified by calculating the propagation constant of surface waves, and reflectance and transmittance of a plane-wave by graphene-based structure for the electric and magnetic biases along with the spatially dispersive sheets. It is important to note that the numerical simulation of graphene interface with tensor surface conductivity using commercial software packages is challenging due to the lack of efficiently developed models in their libraries.
Optimal Power Transfer Limit Planning for Energy-intensive Industry Microgrid Considering Economic Accommodation of Wind Power

Security and reliability of power supply are very important for the energy-intensive industry (EII) since insufficient power supply will cause great economic loss. Thus, the microgrid of EII usually has grid-connected structure to guarantee the power supply quality. However, the transfer power between the EII microgrid and the main grid must be limited in an interval, which is called as the power transfer limit (PTL). On the one hand, the EII must pay for the PTL (capacity cost); on the other hand, the operation cost of EII’s microgrid is closely related to the PTL. Therefore, the optimal PTL needs to be determined to minimize the total cost (capacity cost and operation cost). In this paper, a bi-level PTL planning method is established in an EII microgrid with wind power and uncertain load. The optimal operation cost is obtained at the low level for the trial planning decision and the planning decision is updated at the high level to reduce the total cost. What’s more, the robustness and nonanticipativity are guaranteed in the low level. Numerical testing is performed for a real system and the results show that the method is effective.
A new regime of whistler waves in the laboratory

A new regime of whistler wave propagation in a large laboratory unbounded uniform plasma has been identified. The wave exhibits interesting topological characteristics, has an elongated structure and exhibits feeble resonance and almost no obliqueness [1]. Conventionally, whistler waves are known to exhibit complex three dimensional features with both parallel and oblique propagation. However, the waves excited here show no such feature. These characteristics are attributed to the electron inertia effects [2] that starts playing a significant role in a regime where typical antenna dimension is comparable to the electron skin depth ($d_{e}=c/\omega_{pe}$), the characteristic spatial scale length of electron-magnetohydrodynamics (EMHD) of which whistler waves are the normal linear modes. Exact nonlinear solutions also exist in the form of structures called electron vortices, as shown by several theoretical and computational works [14]. Such solutions exist when spatial scale length $\lambda\ \leq\ d_{e}$ and structures propagate in the form of vortices uninhibited by the surrounding plasma. However, no experimental proof exists till date. Our results have revealed that the waves or structures excited indeed have spatial scale length limited to the electron skin depth when antenna dimension is of that order. A possible physical model describing the processes is also given. However, the parallel propagation is dominated by the guiding field and highly elongated. In the presence of feeble external guiding field or no field, the whistlerization does not occur, finite Larmor radius effects start playing a role and wave is guided along the resultant complex field [3]. The wave energy gets distributed due to the interplay between electron inertia and Larmor radius effects and the wave scatters. The results are very interesting because they have paved way for future work on the excitation of pure electron vortices and studies related to their relevance to plasma turbulence.
Accelerated AC degradation of impregnated PP films

The influence of the liquid, its impurities and additives on the ac degradation of impregnated polypropylene (PP) films has been investigated. Aging of polypropylene was performed at 80°C, 135 MV/m in model capacitors filled with benzyltoluene saturated with O2 in order to increase the aging rate. The thermal oxidation of the liquid has been studied by gas chromatography, the oxidation of PP by FTIR microspectroscopy, the degradation rate of PP films has been evaluated by the variation of their mean breakdown voltage with aging time. All of them are strongly enhanced by the electric field. The oxidation of the liquid which takes place during these experiments influences only slightly the PP degradation rate. It is concluded that these severe conditions of aging do not change the chemical process. They only enhance drastically its propagation rate. Since aging of PP films is due to the scission of macromolecular chains initiated by radicals formed at the electrodes, the influence of the liquid, its components or additives is explained by their ability to react with radicals which initiate the scission of the macromolecules.
Does Creating Shared Projects in Virtual Reality Capture Students’ Interest in Technology? An International Project in STEM Education

Virtual reality (VR) provides an immersive setting where it is possible to experience the perception of being present in a different place or environment. The TalkTech international project matches students at universities in the United States and Romania, to work as members of international teams as a virtual mobility. They research applications of VR, visit locations in their home countries related to their team’s assigned cultural landmark, and create VR scenes to share with international partners. Team members demonstrate, share, compare, and discuss their work using online communication tools of their choice. This project-based learning provides new advances in STEM education by using digital media, as students experience how technology enables them to communicate and work in a collaborative global environment, create and share digital content, and gain insights into the culture of their partners’ countries. Informal results suggest that the project sparks students’ interest in possible future business applications of VR.
Terabits-per-Second Throughput for Polar Codes

By using Majority Logic (MJL) aided Successive Cancellation (SC) decoding algorithm, an architecture and a specific implementation for high throughput polar coding are proposed. SC-MJL algorithm exploits the low complexity nature of SC decoding and the low latency property of MJL. In order to reduce the complexity of SC-MJL decoding, an adaptive quantization scheme is developed within 1–5 bits range of internal log-likelihood ratios (LLRs). The bit allocation is based on maximizing the mutual information between the input and output LLRs of the quantizer. This scheme causes a negligible $(0.1\ < \mathbf{dB})$ performance loss when the code block length is $N=\ 1024$ and the number of information bits is $K\ =\ 854$. The decoder is implemented on 45nm ASIC technology using deeply-pipelined, unrolled hardware architecture with register balancing. The pipeline depth is kept at 40 clock cycles in ASIC by merging consecutive decoding stages implemented as combinational logic. The ASIC synthesis results show that SC-MJL decoder has 427 Gb/s throughput at 45nm technology. When we scale the implementation results to 7nm technology node, the throughput reaches 1 Tb/s with under 10 mm2 chip area and 0.37 W power dissipation.
Low Power Digital Array Radar for Drone Detection and Micro-Doppler Classification

Due to the ever-increasing threat of micro-Unmanned Aerial Vehicles (UAVs), a necessity arises for robust detection and classification methods. Generally, radar sensor face difficulties in discriminating micro-UAVs from flying birds, as they have comparable Radar Cross Section (RCS) and velocity profiles. Exploiting the uniqueness of their respective micro-Doppler signature could alleviate the issue. In this paper, an experimental investigation is conducted to analyze different micro-Doppler signatures for different consumer drones in different frequency bands, with the aim to clearly distinguish a drone from other flying targets with similar characteristics.
Insatisfação com a imagem corporal e fatores associados em adolescentes escolares

Estudo transversal com o objetivo de investigar a prevalencia de insatisfacao com a imagem corporal e fatores associados em escolares de Gravatai, RS. Em amostra representativa de 1.170 alunos de 7o serie, o desfecho foi investigado com o body shape questionnaire. Verificou-se 23,6% de insatisfacao corporal. A regressao de Cox bivariada mostrou associacao significativa entre a insatisfacao com a imagem corporal e sexo feminino (RP:4,61 IC95%:3,42–6,22); sobrepeso/obesidade (RP:5,80 IC95%:3,39-9,92); uso na vida de tabaco (RP:1,50 IC95%:1,19-1,90); sentimento de discriminacao (RP:2,1 IC95%:1,71-2,57), de solidao (RP:2,42 IC95%:1,98-2,95) e tristeza (RP:1,97 IC95%:1,61-2,43); dificuldade para dormir (RP:1,74 IC95%:1,40-2,16); ideacao suicida (RP:2,23 IC95%:1,78-2,78) e planejamento suicida (RP:1,80 IC95%:1,34-2,43). Recomenda-se que educadores, profissionais de saude e familiares sejam esclarecidos sobre a importância de reforcar a autoestima dos jovens, estimulando que tenham maior satisfacao com a sua imagem corporal e melhor qualidade de vida.
Eccentricity Failure Detection of Brushless DC Motors From Sound Signals Based on Density of Maxima

Brushless Direct Current (BLDC) motors have been used in a wide range of fields. In some critical applications, failures in these machines can cause operational disasters and cost lives if they are not detected in advance. The classical methods for detecting incipient faults in BLDC motors perform processing of the current signal to obtain the required information. In this work, the SAC-DM (Signal Analysis based on Chaos using Density of Maxima) technique is applied for the first time in the diagnosis of failures of electromechanical systems from sound signals. Wavelet Multiresolution Analysis (WMA) is used to separate a chaotic signal component from the sound emitted by the motor. This work demonstrates that it is feasible to perform dynamic eccentricity diagnosis in BLDC motors by identifying variations of the SAC-DM of the sound signal. The technique exposed in this work requires low computational cost and achieves high success rate. To validate the method, tests were carried out on a small BLDC motor normally used in Unmanned Aerial Vehicle (UAV), demonstrating the ability of the method to detect the speed of the motor in 95.89% of the cases and to detect eccentricity problems at a fixed speed in 88.34% of the cases.
A Comprehensive Study of Proposed Linear Design Procedures for Low-Speed Axial-Field PMSG

This paper presents comprehensive linear design procedures for low-speed axial-field PMSG. The proposed procedures specifically consider a wide combination of design limitations, such as shear stress, permeance coefficient, air-gap length and current density. For validation purposes, two different case studies of pre-published cored and partially coreless machines are redesigned using these procedures. The differences in the resulting dimensions were considered, then FEM-based software is used to validate the linear design in each case. Consecutively, a comparison is held between the analytical design and FEM results to verify the proposed design approach. The aim is to demonstrate the promising results of the proposed linear design procedures, which produced machines with enhanced performance at reduced active materials and manufacturing costs. The results show that the suggested linear design steps are favorable for low-speed axial-field PMSG machine design.
A New Discriminative Feature Learning for Person Re-Identification Using Additive Angular Margin Softmax Loss

In this paper, a new end-to-end framework is proposed for person re-identification (re-ID) by combining metric learning and classification. In this new framework, the Additive Angular Margin Softmax is used which imposes an additive angular margin constraint to the target logit on hypersphere manifold. This is aimed to improve the similarity of the intra-class features and the dissimilarity of the inter-class features simultaneously. Compard with the three popular used softmax-based-loss methods, the experiments show that the proposed approach has achieved improved performance on Market1501 and DukeMTMC-reID datasets for person re-ID.
Modeling Radio-Frequency Effects on a Microcontroller

The ability to understand and predict the effects on electronic systems that might result from an intentional EMI attack is crucial to defending critical electronic systems against such a threat. To address this need we are building a predictive model for effects on digital electronics, based on combining electromagnetic coupling models with an investigation of the response of electronics at the device, circuit and system level. As a critical part of this work we have focused our research on understanding and predicting the response of a microcontroller to a high-power electromagnetic waveform. Our approach is to expose the microcontroller to electromagnetic pulses with carefully controlled onset times and durations, while making use of software implemented in assembly language to exercise various functional areas and hence various physical regions of the microcontroller, with the aim of developing fundamental insight into the upset mechanism. In this paper we address how the effect of an electromagnetic pulse on a specific microcontroller varies with pulse duration. In particular we explore how the system responds to two pulses injected at various times while the microcontroller is executing a specified instruction, and investigate the question of when these pulses may be considered as independent events. We present the results from our experiments, as well as summarizing some of our recent work aimed at building a general predictive model.
Assessing Enclosure Case Design on Excitation and Transmission of Vibration in Electronic Packages

The paper represents research aimed at assessing elastic and dissipation properties of enclosures on excitation and transmission of vibration in electronic packages. Once bearing parts of electronic packages, in particular printed circuit boards, receive resonant oscillations, the dynamic forces increase manifold so that they cause breakages of parts and components. In the paper, three basic problems are in objective for enclosed electronic packages forced by vibration: finding natural frequencies of printed circuit boards using estimation and test methods; assessing enclosure case design on vibration transmission to printed circuit boards installed inside; developing methods and means to reduce transmission and excitation of vibration inside the enclosure case.
Simulation and Analysis of Centralized Bidding Market Clearing Method Based on Intelligent Algorithm

The simulation experiment is an effective means to verify the market rules. Based on the monthly centralized bidding rules in the China's electricity market, the corresponding MCP (market clearing price) and high-low matching clearing price are compared and analyzed in the co-evolutionary algorithm. Firstly, a cooperative evolutionary mechanism based on strategy set is proposed to simulate the game competition between buyers and sellers in real market. Secondly, the monthly centralized bidding rules are studied. Based on the maximization of the respective interests of buyers and sellers, the market clearing price and high-low matching algorithm are compared and analyzed, and the game process in the market is quantitatively analyzed, so as to solve the market simulation equilibrium. The simulation analysis shows that MCP is more volatile than the high-low matching algorithm, and the clearing situation of the market is related to the cost and benefit function of buyers and sellers.
An Effective Android Ransomware Detection Through Multi-Factor Feature Filtration and Recurrent Neural Network

with the increasing diversity of Android malware, the effectiveness of conventional defense mechanisms are at risk. This situation has endorsed a notable interest in the improvement of the exactitude and scalability of malware detection for smart devices. In this study, we have proposed an effective deep learning-based malware detection model for competent and improved ransomware detection in Android environment by looking at the algorithm of Long Short-Term Memory (LSTM). The feature selection has been done using 8 different feature selection algorithms. The 19 important features are selected through simple majority voting process by comparing results of all feature filtration techniques. The proposed algorithm is evaluated using android malware dataset (CI-CAndMal2017) and standard performance parameters. The proposed model outperforms with 97.08% detection accuracy. Based on outstanding performance, we endorse our proposed algorithm to be efficient in malware and forensic analysis.
Measuring permittivity and permeability for a powdered material

The article presents a method of measuring permittivity and permeability for a powdered material. The measurements were carried out for the material based on barium hexaferrite with various degrees of substitution $\mathbf{Ti}(\mathbf{x}) =0;\ 0.25$; 0.5; 1.0. The calculated dependences of permittivity and permeability for the powdered material, based on measuring with the help of a segment of a coaxial transmission line, are presented.
3D-Finite Element Analysis (FEA) of Glass Fiber Reinforced Polymer (GFRP) Reinforced Concrete Members

The available finite element packages are not suitable for modeling GFRP reinforced concrete members due to their different properties. This paper presents the finite element analysis (FEA) for glass fiber reinforced polymer (GFRP) reinforced concrete members using ABAQUS. The purpose of the analysis is to predict their shear capacity. The beams were reinforced in longitudinal direction and there was no transverse reinforcement. The FEA results were compared with the test results of GFRP reinforced beams. The results obtained from FE analysis were analyzed for its load-deflection behavior, crack patterns, ultimate loads; and the FE results were also compared with the test results. The comparison reveals that the model predicts the behavior of shear critical GFRP reinforced concrete beams with reasonable degree of accuracy.
Computation of MBF Reaction Matrices for Antenna Array Analysis, with a Directional Method

Computing the reduced matrix reaction terms in macro basis function (MBF) solvers for large antenna array analysis, is computationally expensive. A hierarchical structure together with a fast low-rank factorization technique can be used in order to improve the computational complexity. However, the rank is expected to increase with the subdomain size for electrically large problems, hence degrading the performance of the algorithm. Directional methods are used to ensure a constant rank for oscillatory kernel applications by subdividing the interacting region into pyramids. This paper report on preliminary investigations for using the directional cross approximation method to compute reaction terms.
Comparative Study of EKF and UKF for SOC Estimation of Lithium-ion Batteries

With the expanding application of lithium-ion batteries, the state of charge (SOC) estimation based on the Kalman filter (KF) draws great attention. However, lots of KF’s variants, such as extended Kalman filter (EKF) and unscented Kalman filter (UKF) are available. In order to find the suitable KF variant for SOC estimation, this paper studies the performance of EKF and UKF in three scenarios based on the two-order RC model by elaborative simulation. The accuracy and convergence of the two filters are compared. The impact of the model deviation on the estimated results is also tested to evaluate the robustness. The test results show that EKF performs much the same as UKF in its accuracy, rate of convergence as well as robustness to model errors in most cases.
On the Practical Effectiveness of the Nonredundant Spherical NF-FF Transformation for Offset Mounted Long AUTs

A laboratory assessment of a recently proposed spherical near-field to far-field (NF-FF) transformation technique for a long antenna under test (AUT) mounted in offset configuration, which requires an amount of NF measurements minimum and equal to that needed for the onset mounting, is provided in this work. The interest for this technique is due to the fact that sometimes, for practical limitations, it can be impossible an onset mounting, where the AUT center and the scanning sphere one coincide. In this case, the amount of NF measurements and the corresponding acquisition time required by the traditional spherical NF-FF transformation can remarkably raise, owing to the minimum sphere rule. Instead, in the proposed NF-FF transformation, the massive data necessary for the traditional one are efficiently recovered from the measured nonredundant samples using an optimal sampling interpolation formula, got by suitably exploiting the nonredundant sampling representations and modeling the AUT by a prolate spheroid. Some laboratory results, fully confirming the efficacy of such a nonredundant NF-FF transformation from the practical viewpoint, are reported.
Fog-Orchestrated and Server-Controlled Anonymous Group Authentication and Key Agreement

Fog architectures are currently present in many applications. Constrained devices equipped with sensors produce measurements that will be sent to a nearby gateway, called the fog. The fog verifies, aggregates and forwards them to the server. Group authentication among these devices allows them to securely accept messages of the group members, resulting in faster updates in their process. When defining a security scheme, it should be considered that edge and fog devices are susceptible to attacks. Privacy of the devices should be guaranteed, with respect to outsiders and the fog. It should be impossible to track the connection pattern of devices with different fogs, even if several fogs are captured by an attacker. Inclusion of protection against potentially malicious fogs has not yet been considered in literature, especially not for group-based communications. We present a server-controlled group authentication and key agreement scheme, executed by the fog in collaboration with the devices that it can reach. The server, assumed to be fully trusted, is responsible for the registration and authorisation of the devices and initiates the key update process, whereas the fog takes care of the secure distribution process among its members. At the end, all entities in the group are ensured to possess the correct group key. Moreover, a pairwise secret key between device and server is obtained during the process. The proposed scheme is very efficient as it relies on elliptic curve cryptography and Lagrange interpolation. No initially shared secret key material among the entities needs to be pre-stored.