Miracle-dz/UniFAR-FTUs huggingface dataset:
Metasurfaces to Control Direction of Wave Propagation at the Same Frequency

In this study, we demonstrate circuit-based metasurfaces, or the so-called waveform-selective metasurfaces (WSMs), to control the transmittances of various surface waves at the same frequency in response to their pulse widths. Especially, we show three types of WSMs that preferentially transmit either of a short pulse, a continuous wave, or an intermediate pulse at a constant frequency. These structures are all combined to allow the propagation of surface waves to different directions depending on their pulse widths. Thus, the concept of these structures can be potentially exploited for new solutions to electromagnetic interference issues, antenna designs, and wireless communications at the same frequency.
Large-Area 1.2-kV GaN Vertical Power FinFETs With a Record Switching Figure of Merit

This letter presents the first experimental study on capacitances, charges, and power-switching figure of merits (FOM) for a large-area vertical GaN power transistor. A 1.2-kV, 5-A GaN vertical power FinFET was demonstrated in a chip area of 0.45 mm2, with a specific on-resistance of 2.1 $\text{m}\Omega \cdot \textsf {cm}^{\textsf {2}}$ and a threshold voltage of 1.3 V. Device junction capacitances were characterized and their main components were identified. This was used to calculate the switching charges and practical switching frequencies. Device FOMs were then derived that take into account the trade-offs between the conduction and switching power losses. Our GaN vertical FinFETs exhibit high-frequency (~MHz) switching capabilities and superior switching FOMs when compared with commercial 0.9-1.2-kV Si and SiC power transistors. This letter shows the great potential of GaN vertical FinFETs for next-generation medium-voltage power electronics.
On the Modeling of Antenna Arrays for Massive MIMO Systems

This paper presents a new approach for the modeling of large antenna arrays in base-stations of massive MIMO systems. The approach subdivides an MxN array into either M or N subarrays, each consisting of N or M elements, respectively. Analyses are presented for an array consisting of 3×5 dipole elements operating at 2.45GHz in WLAN propagation environments of various degree of multipath. The results show the differences and trade-offs between accuracy and computational cost.
Improved Broadband Bandpass FSS Filters For 5G Applications

An improved broadband bandpass frequency selective surface (FSS) filter with double-square-loop (DSL) patch elements is described and demonstrated to have superior performance over the previous 3-layered FSS design. In addition to the significantly reduced passband insertion loss, the new FSS is much simpler in design and fabrication. It also has myriad applications in 5G wireless communication and high performance radome systems.
A Gamified Approach to Achieve Excellence in Programming

In today's IT world, no one is untouched from its perpetual and accumulative impact as it keeps on revolutionizing our lives by making the things easy and comfortable. Undoubtedly, software is the key driving force behind it and has become the backbone of IT industry today. In-spite of huge success, still there are barriers causing hindrance in the swift growth of IT sector and that leads to failure of many large and high cost IT projects. The most important and foremost reason behind it is programming incompetency in the developers responsible for software development. This is the result of lack of interest and motivation in programming at learning stage during higher education. That's why majority of the students are not coming forward with full competence and capabilities to meet industry expectations. To alleviate this problem to some extent, we introduce a gamified approach in a game called ProLounge (Programming Lounge) - an online learning application. The purpose of inducting gamification is to increase students' engagement, motivation, and understanding using a fun filled gaming flavour and enjoyable learning environment, thus yielding high students' performance. ProLounge has proved to be a great learning source with fun for the students' community at large. The results have shown a strong preference for the use of gamification in imparting the programming knowledge.
A Critical Analysis of ECG-Based Key Distribution for Securing Wearable and Implantable Medical Devices

Wearable and implantable medical devices (WIMDs) perform critical health monitoring and therapeutic functions. However, current WIMD products lack security safeguards to protect patients from fatal cyber attacks. In the recent past, electrocardiogram (ECG) signals-based security techniques have been widely explored to secure such devices by using two cryptographic primitives, the fuzzy commitment and the fuzzy vault, respectively. Nonetheless, differences, as well as similarities between these two primitives, have not been well investigated, making it difficult to decide which one would be appropriate for a particular setting. In this paper, we perform a critical analysis on both primitives and discuss their merits and drawbacks in the context of the ECG-based key distribution. We analyze the critical challenges within each primitive-based key distribution technique, such as binary sequence generation and polynomial computations. Experimental results show that the technique based on the fuzzy commitment has a better false acceptance rate due to the randomness of ECG binary sequences. On the other hand, the fuzzy vault based scheme can achieve an acceptable false reject rate (5%) with less cost to the WIMDs. Future research is suggested to enhance the precision of ECG signal processing, to improve the efficacy of binary sequence generation process as well as to suggest ways to reduce polynomial computations.
Development of Eccentric Spin Coating of Polymer Liner for Low-Temperature TSV Technology With Ultra-Fine Diameter

Through-silicon-vias (TSVs) with a diameter of $3~\mu \text{m}$ and high aspect ratio of 15 are successfully fabricated based on a low-cost and low-temperature process involving spin coating of polyimide liner, electroless plating of Ni barrier/seed layer, and electroplating of Cu, which is suitable for via-middle/via-last processes that have a more stringent thermal budget. A novel eccentric spin coating technique is proposed for liner formation, which greatly improves the wafer-level uniformity and reduces the bottom dielectric thickness of the vias located close to the center of the wafer. The measured results show that the fabricated TSVs exhibit low depletion capacitance of 33 fF, low leakage current of 2.2 pA at 20 V, and good barrier property against Cu diffusion even after annealing at 400°C, indicating the feasibility of the proposed technique in high density and low area penalty 3-D large-scale integrated circuits.
Air Gap Flux Density Analytical Model for a Fractional-Slot Concentrated-Winding SM-PMSM

Fractional-slot concentrated-winding ermanent magnet synchronous machines (FSCW-PMSMs) are finding more presence in many applications, especially as propulsion motors in electric vehicles. Accurate analytical modelling of these machines is important in order to achieve effective and optimum designs. One of the important machine attributes that strongly affects its performance is the air-gap flux density waveform. This work presents an analytical method to calculate the spatio-temporal air-gap flux density waveform for a surface mounted FSCW-PMSM, with an accuracy comparable to numerical methods such as FEA but with relatively much lower computational cost. A validation of the proposed model is presented by comparing to FEA results.
The Walking Assistance System using the Lower Limb Exoskeleton Suit Commanded by Backpropagation Neural Network

Currently there are many elderly people who have walking problems. This paper aims to develop and solve these problems by introducing walking assistance system which can recognize 3 types of gestures, include walking, sitting and standing. Our system is divided into 3 main parts including Feature extraction which consists of Time domain and Frequency domain, Classification and Exoskeleton suit system. Conjugate Gradient Backpropagation Neural Network is used to classify sEMG signal of lower limb posture after extracted the features. Then the output of classification is used to command the Exoskeleton suit to perform the gesture according to the results of the recognition. In addition, our paper uses PID controller to control DC motor of Four Bar Linkages Mechanisms of Lower Limb Exoskeleton suit in order to reduce the number of motors and increase stability during the Stance Phase. The results from the experiment have concluded that all feature in time domain has the most recognition rate which up to 99.39%.
High Availability Routing Protocol for WSN

Currently, WSN (Wireless Sensor Networks) have become a relevant topic for researchers in a wide implementation area (Industry, Environment, Medical, etc WSN have interesting features and optimal capabilities in several applications, i.e., applications where it's required to have architecture flexibility, low power consumption, transparent transition mode, etc.From the fault tolerance point of view and network robustness, this research presents an improvement by means of a very simple protocol, managed by the application layer levels (OSI model reference); obtaining electrical and transmission parameters, such as: current drawn, voltage levels and RSSI (Reception Strength Signal Indicator).
A Multipart 5G Base-Station Antenna Using Series-Fed Patch Antenna Sub-Arrays

In this paper. , we propose a novel antenna architecture using multiport arrays for 5G base stations. The proposed antenna consists of multiple sub-arrays, performing baseband signal processing so that high gain and broad angular coverage can be achieved simultaneously. The sub-arrays are designed by using series feed networks and patch antenna elements. We arrange these sub-arrays steering to different directions with overlapped sub-array patterns. With the information of the pilot signals. , the channel state of each subarray port can be estimated. The output of each sub-array port is combined and fed to a baseband processor, which synthesizes a pattern with high gain and broad angular coverage. The antenna sub-arrays are designed, fabricated, and tested. The system performance utilizing baseband signal processing is also evaluated. Our comparison shows that the proposed antenna overcomes the limitation of conventional array structures.
An I-slab System for Tilted Beam Formation

This paper discusses an antenna system designated as the I-slab system (where the number of slabs is I = 1, 2). All slabs have square loops made of conducting strips. For the analysis, the loops have a fixed outer side length and different inner side lengths, i.e., the loops have different strip widths. The analysis reveals how the scattering parameters for the unit cell constituting the I-slab system change with the loop strip width. The tilt angle of the beam radiated from the I-slab system is estimated based on the scattering parameters and compared to results obtained using full wave analysis.
Early Detection of Leptospirosis in Cattle Urine Samples by Using Loop-Mediated Isothermal Amplification (LAMP) Method

Leptopsirosis is a zoonotic disease caused by bacteria infection of the genus Leptopsira sp. It is recognized as endemic diseases in tropical areas. In this study, we developed simple Loop-Mediated Isothermal Amplification (LAMP) method in order to use as an early detection of the disease This study used a number of 8 cattle's urine samples from Wijimulyo Sub-District, and 6 samples from Moyudan Sub-District, Kulon Progo District, Yogyakarta Special Province. All samples were treated by using centrifugation and boiling method, then the isolated DNA were applied into thermocycler. The results shows the ability of Loop-Mediated Isothermal Amplification (LAMP) as an early alternative diagnostic method of leptospirosis which is quickly, accurately and economically
A Study of the Impression Evaluation and Management through Online Nicknames in Computer-Mediated Interpersonal Communication

This paper studies names including the nickname and the real name, the personal identity symbols of the network society and real society, as clues for the impression evaluation in social cognition. It adopts the questionnaire method with quantitative analysis. From the perspective of the evaluator, examine the differences in impression evaluation based on the stereotype content model (SCM) under two social situations. From the perspective of the evaluatee, explore whether there is an impression management based on the stereotypes of the real name or self-social cognition in the online society. It is found that the external characteristics and internal mechanisms of the two evaluation situations are different: the impression evaluation via real names is more moderate, focusing on the competence dimension, and the evaluation via online nicknames is more bold and clear, focusing on the warmth dimension. In the online interpersonal communication, the impression management through nicknames is based on the self-cognition of the real society in the warmth dimension.
Fast Delayed Signal Cancellation based PLL for unbalanced grid conditions

Frequency identification is one of the most critical issues for grid-connected power converters, especially when the grid is unbalanced or distorted. Therefore, this paper proposes a novel frequency estimator with fast convergence for balance and unbalanced grid-voltage faults. The proposed algorithm is based on a Phase Locked Loop (PLL), enhanced with a fast positive and negative sequence detector. Delayed Signal Cancellation methodology with fast convergence is investigated under single-phase and two-phase voltage dip. The effectiveness of the proposed PLL is validated using simulations and experimental results.
Error Preserving Correction: A Method for CP Decomposition at a Target Error Bound

In CANDECOMP/PARAFAC tensor decomposition, degeneracy often occurs in some difficult scenarios, especially, when the rank exceeds the tensor dimension, or when the loading components are highly collinear in several or all modes, or when CPD does not have an optimal solution. In such cases, norms of some rank-1 tensors become significantly large and cancel each other. This makes algorithms getting stuck in local minima while running a huge number of iterations does not improve the decomposition. In this paper, we propose an error preservation correction method to deal with such problem. Our aim is to seek an alternative tensor, which preserves the approximation error, but norms of rank-1 tensor components of the new tensor are minimized. Alternating and all-at-once correction algorithms have been developed for the problem. In addition, we propose a novel CPD with a bound constraint on the norm of the rank-one tensors. The method can be useful for decomposing tensors that cannot be performed by traditional algorithms. Finally, we demonstrate an application of the proposed method in image denoising and decomposition of the weight tensors in convolutional neural networks.
Spontaneous Activity and Evoked response change to 100ms temporal stimulation in Dissociated Neuronal Networks

Temporal learning is one of the most basic ability within human brain, which enables people to perform complex tasks as playing and skilled works. However, the mechanism is not well understood. Recent studies have shown that neurons in whole cell recording in brain slices have ability to remember given time interval stimulation. However, the mechanism behind temporal memory and how the learned pattern changes performance within network spontaneous activity remains unknown. To understand the effect of temporal learning in network activity, our team uses in vitro models present as the simplest neuronal network for studying properties of network dynamics, and show how activity changes to learned stimulation in neuronal networks, which may imply long term learning also possess within cortical cultures.
Rolling Out the Red (and Green) Carpet: Supporting Driver Decision Making in Automation-to-Manual Transitions

This paper assessed four types of human–machine interfaces (HMIs), classified according to the stages of automation proposed by Parasuraman et al. [“A model for types and levels of human interaction with automation,” IEEE Trans. Syst. Man, Cybern. A, Syst. Humans, vol. 30, no. 3, pp. 286–297, May 2000]. We hypothesized that drivers would implement decisions (lane changing or braking) faster and more correctly when receiving support at a higher automation stage during transitions from conditionally automated driving to manual driving. In total, 25 participants with a mean age of 25.7 years (range 19–36 years) drove four trials in a driving simulator, experiencing four HMIs having the following different stages of automation: baseline (information acquisition—low), sphere (information acquisition—high), carpet (information analysis), and arrow (decision selection), presented as visual overlays on the surroundings. The HMIs provided information during two scenarios, namely a lane change and a braking scenario. Results showed that the HMIs did not significantly affect the drivers’ initial reaction to the take-over request. Improvements were found, however, in the decision-making process: When drivers experienced the carpet or arrow interface, an improvement in correct decisions (i.e., to brake or change lane) occurred. It is concluded that visual HMIs can assist drivers in making a correct braking or lane change maneuver in a take-over scenario. Future research could be directed toward misuse, disuse, errors of omission, and errors of commission.
Compact Meander Magnetic Dipole Antenna for Wide-Angle Scanning

In this paper, the meander structure magnetic dipole antenna for wide-angle scanning application has been proposed. The proposed antenna has wide half power beam width (HPBW) at the large ground. Moreover, the size of the antenna becomes compact by adjusting structure of the antenna, feeding point and distance between antennas. As a result at 5.8GHz, the proposed antenna has a compact size of 0. 25λ × 0. 21λ × 0.03 λ, and has wide HPBW about 159° in the E-plane with 6.31dB peak gain, 90° in the H-plane with 4.67 peak-gain.
Pattern Reconfigurable Antenna Loaded with Frequency Selective Surface and Artificial Dielectric Medium

A pattern reconfigurable antenna loaded with frequency selective surface (FSS)and artificial dielectric medium operating at 5.2 GHz is presented. In this design, a monopole is used as a radiating source and surrounded by four columns of FSS screens and artificial dielectric medium. The FSS unit cell comprises two metallic crosses connected by a pin diode, the transmission characteristics of which are investigated with different states of pin diode. By changing the states of the pin diodes in the FSS screens, beam switching can be achieved in azimuth plane at 5.2 GHz. The loaded artificial dielectric medium provides a higher refractive-index to tilt the beam in elevation plane. Moreover, a maximum gain enhancement of 3.7 dB is achieved when artificial dielectric medium is loaded.
Switching Devices Comparison and RC Snubber for Ringing Suppression in one Single Leg T-type Converter

In this paper, one single leg T-type converter with full silicon carbide (SiC) half-bridge power modules and hybrid power modules combined silicon carbide (SiC) with silicon (Si) power module, are designed and investigated. Firstly, the switching characteristics of Cree SiC device CAS300M12BM2 and Semikron SiC device SKM350MB120SCH17 single-leg T-Type converters are compared with double pulse testing (DPT). Then, to further investigate the performance, the hybrid power modules of the single leg T-type converter with Cree SiC device CAS300M12BM2 and Semikron Si device SKM300GM12T4 are built, which can increases the power density, compared to the full SiC devices T-type converter. To suppress the ringing of the middle leg switching device, the resistor-capacitor (RC) snubber are designed and demonstrated with DPT. Finally, the function testing of the hybrid single leg T-type converter are experimentally verified.
Bilateral Angle 2DPCA for Face Recognition

Two-dimensional principal component analysis (2DPCA), as a state-of-the-art method for dimensionality reduction, has been widely used in face recognition. However, it is very sensitive to outliers since it minimizes the sum of squared F-norm, which is least-squares loss in nature. Recently, angle 2DPCA was presented to alleviate this problem by minimizing the sum of F-norm, which is corresponding to $L_1$ loss. But a vital unresolved problem of angle 2DPCA is that it needs many more coefficients for image representation because it works only in the row direction. In this letter, we first give a new angle 2DPCA called Sin-2DPCA by minimizing the relative error, which has a better explanation than the original one. Furthermore, in order to obtain better performance with fewer reduced coefficients, we project the input image to a lower dimension from right and left simultaneously, and then, the bilateral angle 2DPCA (BA2DPCA) is proposed. The experimental results on two benchmark face recognition datasets with outlier noises illustrate that the Sin-2DPCA has the similar performance with original angle 2DPCA, and BA2DPCA can obtain the highest performance in all compared algorithms with the minimal number of representation coefficients.
Virtualization Backbone of Cloud Computing - Analysis

Cloud computing now-a-days used as means to enhance Information Technology's (IT) existing capabilities dynamically without putting extra cost in the name of infrastructure, highly skilled personnel, or buying licensed software. It is virtualized availability of resources at a lesser cost. Here in this paper we are going to discuss important virtualization techniques being recently used along with critical security threats to virtualization.
Microtunnel-Based Recording for Evaluating Axon Conduction Change after Chemical Treatment

Brain is composed of a great number of neurons, which interconnect via axons. Although axons were regarded as digital cable in conventional view, recently that is thought as analogue cable and a computational unit. Here, we developed a microdevice to guide axons on multiple electrodes, and record response of axons to chemical reagent. Microfabrication based structural guidance and surface treatment with cell adherent and repellent reagent were combined to make a novel device. Then, changes in axonal conduction delay with various concentration of sodium channel blockers was recorded to evaluate suitability of our method. Axon showed different concentration dependent changes to tetrodotoxin and lidocaine, suggesting that our device is capable to detect dose-dependent response of axons.
Efficacy of Magnetic and Capacitive Hyperthermia on Hepatocellular Carcinoma

Magnetoquasistatic (MQS) and electroquasistatic (EQS) formulations are applied to model magnetic and capacitive hyperthermia, respectively, on treating hepatocellular carcinoma (HCC). Finite element method is used to compute the field distribution in the treated area, and a bio-heat equation is solved to compute the temperature distribution therein. The efficacy of magnetic and capacitive hyperthermia in treating HCC is analyzed and compared.