Miracle-dz/UniFAR-FTUs huggingface dataset:
Azimuth Pattern Reconfigurable Magnetic Dipole Antenna with Wide-Angle Coverage

An azimuth pattern reconfigurable antenna has been developed to scan a hemispherical space on a wide metal surface. The reconfigurable pattern was created by using a magnetic dipole antenna with a wide elevation angle on a large metal ground and by controlling the magnetic current direction. A feeding network supplies three different type signals to the port to make four patterns. The antenna was fabricated and measured. Each far-field beam pattern was measured half-power beam width(HPBW) about 150° in the elevation pattern. The proposed antenna radiates in all directions of hemispherical shape when using four modes since the antenna can cover 90° in azimuth plane in each mode.
An ensemble deep learning model for short-term load forecasting based on ARIMA and LSTM

Electrical load forecasting is an important part of power system planning and operation, which can guide the power enterprises to arrange generation plan reasonably, reduce the cost of power generation, and provide a reference for power grid reconstruction and optimization. However, due to the complicated inner non-linear property and seasonality pattern of electrical load, accurate short-term load forecasting (STLF) is of big challenge. In this paper, we firstly study the large time-span quasi-periodicity of load sequences, including the inner correlation of a short load segment and the quasi-periodicity among the load segments spanning different time duration from a week to a month. Then, an ensemble method is proposed, which combines Auto-regressive Integrated Moving Average (ARIMA) and Long Short Term Memory (LSTM) in order to fully exploit the large time-span quasi-periodicity of the loads. Here, ARIMA model captures the stationary pattern of the load segments, while LSTM extracts the complicated non-linear relations of load segments. The proposed method is evaluated on a data set of load consumption in Toronto, and the results show the proposed method outperforms the existing popular STLF models with a small payload of computational complexity.
Nickel Zinc Ferrite Thick Film for Optimized Performance of Flexible Patch Antenna

This work investigated the effect of adding nickel zinc ferrite thick film layer to a flexible substrate as overlay below a conductive silver patch. The ferrite thick film paste was prepared by mixing nickel zinc ferrite (NZF) nanopowders with an organic vehicle, and later using screen printing technique to print a thick film layer onto polyimide film, and later added a rectangle silver conductive patch on top of the ferrite layer. Measurement results of the flexible patch antenna with NZF thick film layer show that the thick film significantly widens the bandwidth of the antenna while having good return loss. The bending test, however, showed that there are significant changes of frequency and return loss when the antenna was bent at different angles, showing that further improvement is needed to further stabilizes the antenna parameters in bent conditions.
Synthetic Power Line Communications Channel Generation with Autoencoders and GANs

Power Line Communication (PLC) technologies have a relevant role in smart energy grids. Channel modeling is important to assess their performance and enable the development of advanced PLC solutions. In this paper, we propose an approach to channel modeling that exploits AutoEncoders (AEs) and Generative Adversarial Networks (GANs) to synthetically generate PLC Channel Transfer Functions (CTFs). A dataset obtained from measurements of CTFs is handled with an AE to extract its complete description through features. Then, a GAN is trained to generate new features that possess the same statistical distribution of the extracted ones. This allows the generation of new CTFs with the previously trained decoding part of the AE. The presented method is evaluated through simulations using a measured dataset and the results are verified with traditional metrics used to statistically characterize the channel.
A Millimeter Wave High-Power RF MEMS Switch Based on Two Membranes in Parallel

This paper presents a packaged RF MEMS SPST (Single-Pole Single Throw) ohmic switch manufactured on a silicon substrate designed to withstand high power (8.2 W) on a wide frequency band (DC-40 GHz). It consists of two membranes placed in parallel in order to reduce the temperature of each metal contact and thus to improve the power handling capabilities. In addition, the uniform separation of the RF currents up to 40 GHz shows the ability of this switch to power up at very high frequency. The measurements show the stability of the contact under 8.2 W during a long-term actuation of the device in the ON-state (> 50 h) and for repeated actuations (> 400 million cycles) in cold switching conditions.
Adaptive Iterative Learning Control of Nonlinear Systems with Input Saturation

This paper presents an adaptive iterative learning control for a class of nonlinear systems with input saturation. The input saturation is approximated by a smooth hyperbolic tangent function based on the mean-value theorem. Then, an integral Lyapunov function is constructed to avoid the potential singularity problem caused by the differential of unknown gain functions. A radial basis function neural network (RBFNN) is employed to approximate the unknown system nonlinearity, and the combined adaptive laws are designed to estimate NN weight and the bound of the approximation error, respectively. With the proposed scheme, the tracking error is guaranteed to converge into a neighborhood of zero in the sense of $L^{2}$-norm within the finite iterations, and numerical simulations show the effectiveness of the proposed scheme.
Multi-Controller Placement for Load Balancing in SDWAN

The capability of flexible network management makes it available to incorporate software-defined networking (SDN) in the wide area network (WAN). Thereinto, multiple controllers are deployed in the software-defined wide area network (SDWAN) to tackle the performance bottleneck. Thus, how to effectively solve the load balancing problem in the control plane towards SDWAN under different constraints is worthy of further study. In order to achieve load balancing among the distributed controllers, we proposed a low-complexity controller placement algorithm, Simulated Annealing Partition-based K-Means (SAPKM), towards SDWAN. Meanwhile, two cost functions were proposed as the load balancing indices to assess the efficiency of the proposed algorithm from the perspective of topology structure and flow traffic distribution, respectively. Simulations were performed by using actual topologies on Topology Zoo with different sizes and different structures. Experimental results demonstrated the effectiveness of SAPKM in reducing both average load and load balancing indices with propagation latency and network reliability performance enhanced simultaneously.
A Single Cell Dual Band Rectifier at Millimeter-Wave Frequencies for Future 5G Communications

For the first time, a single branch dual band rectifier towards millimeter-wave frequencies at 28 GHz and 38 GHz for future 5G communication has been presented. Voltage doubler configuration and Schottky barrier diode MA4E1317 has been used for rectification. The rectifier has been simulated on Agilent ADS and fabricated on 250 um thick Rogers 5880 substrate. Maximum output efficiencies of 46% and 42% has been obtained at 28 GHz and 38 GHz, respectively at input power level of 31.6 mW (15 dBm) and are comparable to the efficiencies reported in literature for millimeter wave rectifiers operating at low input power levels. The proposed circuit produces DC output at 28 GHz and 38 GHz simultaneously and will find applications in the millimeter wave circuits for energy harvesting applications and wireless power transmission.
Constraining Relative Camera Pose Estimation with Pedestrian Detector-Based Correspondence Filters

A prerequisite for using smart camera networks effectively is a precise extrinsic calibration of the camera sensors, either in a fixed coordinate system, or relatively to each other. For cameras with partly overlapping fields of view, the relative pose estimation may be directly performed on or assisted by the video content obtained during scene analysis. In typical conditions however (wide baseline, repetitive patterns, homogeneous appearance of pedestrians), the pose estimation is imprecise and very often is affected by large errors in weakly constrained areas of the field of view. In this work, we propose to rely on progressively stricter constraints on the feature association between the camera views, guided by a pedestrian detector and a re-identification algorithm respectively. The results show that the two strategies are effective in alleviating the ambiguity which is due to the similar appearance of pedestrians in such scenes, and in improving the relative pose estimation.
FPGA Implementation of SPWM for Cascaded Multilevel Inverter by Using XSG

This study presents Field Programmable Gate Array (FPGA) implementation of Sinusoidal Pulse Width Modulation (SPWM) technique for 5-level Cascaded H-Bridge Multilevel Inverter (CHB-MLI). The fast and easy generation of switching signals for multilevel inverters (MLI) which has complex switching schemes is an important issue. In addition, because of parallel processing, the use of FPGAs in the field of power electronics has increased. MATLAB-Simulink software and Xilinx System Generator (XSG) are used to analyze CHB-MLI and generate architecture of PWM signals which embedded in FPGA. After implementation on Digilent Genesys II FPGA board, the experimental gate signals waveforms are observed on a digital oscilloscope.
Design Analysis and Verification of PMSM Motor For Dishwasher Machine

In this paper an interior permanent magnet (IPM) synchronous motor (PMSM) is analytically designed and analyzed by Ansys Maxwell 2D software, and fabricated in Bader Motor Technology Company.Currently, single phase induction motors (IM) are used in dishwasher machine. According to customer requirements; due to controlling of speed, lower price and higher efficiency the PMSM motor are preferred instead of single phase IM.In respect to customer requirement the motor is designed, with 3400 rpm, 0.2 Nm and 0.5 Arms. The designed motor is capable to operate in (2000-3800) rpm range of speed without applying field weakening method. The designed motor is lighter 0.50 kg lower than the IM motor and thanks to efficiency the new motor efficiency is 12 percent higher than the old one. As experiments, noise, heating up and vibration issues of new designed motor are less than the IM.
Reptile Meta-Tracking

Generic object tracking (GOT) is one of the main topics in computer vision for many years. The goal of GOT is to recognize and locate a specific object in the form of bounding box throughout a sequence of images. Moreover, GOT also requires algorithms to locate objects down to instances level. These requirements produce some unique challenges especially for deep learning based GOT algorithms that may easily become over-fitting if given a really small training dataset of the object during the online tracking process. To deal with this issue, we propose a novel Reptile meta-tracking algorithm, which adopts a first-order meta-learning technique so that during initialization, the visual tracker only requires few training examples and few steps of optimization to perform well. The proposed Reptile meta-tracker is evaluated on OTB2015 and VOT2018 tracking benchmark datasets, and outperforms several state-of-the-art trackers using one-pass evaluation.
A Compact 28 GHz RF Front-end Module using IPDs and Wafer-level Metal Fan-out Packaging

A new wafer-level packaging (WLP) technology for millimeter-wave power devices is presented, which features simple fabrication, low signal transition loss and thermal consideration. Instead of using through molding via (TMV) process, the proposed WLP technology incorporates thick copper sheet as a core frame to make through-interconnection. Short electroplated interconnection shows transition loss within 0.2 dB and return loss above 20 dB, at frequency range up to 30 GHz. Using this package technology, a 28 GHz RF FEM is designed and fabricated for 5G communication system. To improve the package density and also enhance the RF performances, two integrated passive device (IPD) capacitors for bias network of the PA are integrated in the module. The size of the realized RF FEM is 4.4×4.3 mm2 and its thickness is only 0.2 mm. The measured output power of the FEM is more than 25 dBm and its efficiency is 25 % at the saturation power. The measured noise figure is 3.4 dB and it value is almost same to the initial LNA IC.
Glucose Controller For Artificial Pancreas

Diabetics type1 have been helped by “Artificial Pancreas”(AP), which is known as a closed loop control of blood sugar regulation in diabetes. It is a system that joins blood glucose checking through a glucose sensor to check blood sugar in vivo, insulin pump and calculation unit to enumerate insulin dosage and amount according to blood glucose measure pump control unit based on the results of enumeration. There is a necessity to put an optimal control which can keep up with sudden change for (T1D), finds better following personification for glucose, and maintain the glucose level within the natural zone (between 70mg/dl and 120mg/dl). In this paper, a state feedback control method based on “Linear Quadratic - Servo”(LQ-S) has been proposed. A Kalman Filter (KF) has been used to provide necessary estimates of states to be implemented by the LQ-S design. Simulation results show considerable improvements of the AP performance using the developed controller as compared with that of a conventional PID controller.
Optical techniques as approaches for treatment of diseases and diagnostic monitoring

During the last twenty years, so much has been done concerning the use of optical techniques in health sciences. Particularly diagnostic monitoring associated to treatment of diseases have been developed and increasingly implemented on daily clinical routine. This short review aims to offer insight on the techniques which have produced interesting and relevant results on innovative clinical approaches and the pre-clinical studies that support them. Main focus is provided for photodynamic therapy (PDT) approaches for skin cancer and microbiological control, fluorescence techniques for phototherapeutic approaches such as PDT, and for monitoring of viable tissues as a tool for diagnosis and for transplantation procedures.
Advances in the prevention and monitoring of root dentin demineralization using lasers

The increase in the life expectancy and the longer permanence of the teeth in the oral cavity also led to an augment in the prevalence of root caries lesions. These lesions require more attention because of their rapid progression and difficulty in early diagnosis and monitoring. In this context, the irradiation of the tissues with high intensity lasers has been shown as an important way for preventing lesion formation because lasers chemically modify the irradiated dental hard tissues and make them more resistant to acid challenge. In addition, the association with ceramic biomaterials may allow additional remineralizing results. Together with therapeutics, the effective early diagnosis of incipient lesions is indispensable. Techniques that use lasers, such as optical coherence tomography, have also been promising in this aspect because they allow the early diagnosis and monitoring of demineralizations with high resolution and in a non-detrimental way. This article aims to show the actions of high intensity laser therapies when associated or not with biomaterials, on the prevention and remineralization of root caries lesions, as well as the effectiveness of optical coherence tomography in the diagnosis and monitoring the effects of the treatments in these lesions.
Widely Tunable Metallic Nanorods Chain for Solar Radiation Absorption

Plasmonic nanoparticles are promising nanomaterials for solar radiation absorption harvesting due to their absorption spectral band which can be easily tuned from visible to near infrared regime. Full-wave field analysis based on Finite Element Method (FEM) is used to compare absorption spectra and solar absorption weighted coefficient of gold nanorods assembly. The solar absorption power increase rapidly for nanorod assembly and rise as high as 0.01 nW along with high absorption ratio. Moreover, the solar weighted absorption coefficient is almost close to solar thermal collector. Finally, computational modeling results of nanorod assembly obtains a higher temperature (34.3 ºC), which confirms that our nanostructures show the great potential to be employed for nanofluid to enhance solar heating ability.
Electromagnetic and Thermal Analysis of a Domestic Induction Cooker Coil

In this study, induction cookers used in domestic applications are investigated. A commercially available induction cooker is chosen and a 3-dimensional finite element model of the cooker is investigated for electromagnetic analysis by using ANSYS electronics desktop. Magnetic flux density distribution of the bottom of the pan is also obtained. By using finite element method results, thermal analysis of the induction cooker is obtained by using ANSYS Fluent via ANSYS Workbench. Lastly, an experimental test was conducted to see the thermal characters of the induction cooker. The finite element method results are also compared with the experimental results.
Design of Aperture Coupled Feeding Ku-Band Phased Array Antenna on Multi-Layer PCB for Satellite Communications

In a phased array antenna system, beamforming integrated circuit (IC) is located directly behind the antenna and uses a multi-layer printed circuit board (PCB). As the frequency band becomes higher, the direct via feed method is not suitable for multi-layer PCB structure due to the decrease of transmission characteristics and the increase of manufacturing difficulty by use of blind via. This paper introduces the antenna using an aperture coupled feeding technique on multi-layer PCB for a Ku-band phased array antenna system. To verify the design, an antenna prototype is developed and measured at Ku-band for satellite applications. The antenna operates with left-handed circular polarization (LHCP) at center frequency of 11.9GHz and a peak gain of 15.2dBic.
Radar Based Material Characterization at 145 GHz Utilizing an Ellipsoidal Reflector

Thiscontribution presents a method for the characterization of thin dielectric materials based on frequency modulated continuous wave (FMCW) radar. The transceiver allows precise measurements in the frequency range between 122 GHz and 169 GHz. Using an elliptical mirror, the radiation is focused on the material, achieving a small beam diameter and plane wave fronts. The time domain material measurements are evaluated by means of Matching Pursuit Decomposition (MPD). Thus, the dielectric properties as well as the layer thickness can be determined.
60 GHz Double Edge Coupled Marchand Balun for PCB Implementation

This paper presents a planar Marchand balun design for 60 GHz applications. This design provides a low cost and rapid solution of testing commercially available mmWave ICs working with differential signalling on the PCB with the available single-ended laboratory equipment. This microstrip-based balun is designed to be compatible for PCB implementation keeping the minimum line and gap width greater than 0.1 mm. Simulation results indicate 30% bandwidth with a maximum amplitude and phase mismatch of 1.7 dB and 11° respectively. For the practical demonstration, two back-to-back connected baluns are fabricated on Isola I-TERA MT40 substrate along with special CPW-to-microstrip conversion structures for probe-station measurements. Measured results are compared with the simulated response to evaluate the design. Furthermore, a re-simulation taking into account the manufacturing deviations is carried out showing results in good agreement with the measured data.
The Necessary and Sufficient Condition of Portfolio Optimality on CC-VaR in Combined Markets

The work investigates peculiarities of using continuous VaR-criterion (CC-VaR) for a set of financial markets of different dimensions, which are partially mutually connected by their underliers. In a typical model case of a combination of a two-dimensional market and two related one-dimensional markets, a rule of constructing a combined portfolio in this market's collection is submitted. This rule gives a necessary and sufficient condition of portfolio optimality in the composition of basis instruments collection. The condition is based on misbalances in markets return relative with maintaining optimality in CC-VaR. Optimization algorithms are based on the Newman-Pearson procedure. Illustrative examples with diagrams of optimal portfolios returns are adduced.
Decision Making and Learning in Wagon-Repairing

We consider production management using such elements of artificial intelligence as human-machine learning and decision-making procedures with fuzzy or qualitative guidelines. These mechanisms include heuristic elements, and use the knowledge of decision-makers and experts, their language, and the rules formulated in this language. The problem of the control mechanism optimal synthesis, with the guidelines of the expert, is set. This mechanism models the functions of people in conditions of uncertainty. The obtained optimal control mechanism includes learning and stimulation procedures. The proved theorem offers a solution to the problem of optimal synthesis of the learning mechanism using the dichotomous classification procedure, supported by an iterative pattern recognition procedure. This iterative procedure uses both a formal recursive algorithm and the results of recognition by an expert on images of emerging situations. As a result, adaptive norms are formed to evaluate the effectiveness and stimulate production. The use of the optimal control mechanism illustrates by the example of the wagon-repair production of a large-scale corporation Russian Railways.
Highly-Sensitive Glucose Concentration Sensor Exploiting Inter-resonators Couplings

A microwave sensor for glucose concentration tracking in microliter-volume water-glucose solutions is presented. Novelty of this work relies in the use of couplings between two resonators to track liquid properties, which allows great sensitivities. The circuit is composed of two electrically coupled open-loop microstrip resonators. A low-permittivity dielectric sample holder is placed in the coupling region between the resonators, thus the coupling is affected by the dielectric properties of the solutions filling the sample holder. The electrical response of the device is dependent on this coupling, and thus on the properties of the solutions. Variations of the dielectric permittivity of the solutions due to the changes in the glucose concentrations can be tracked by the changes in the electrical response of the sensor. Measurements have been made to assess its behavior and performance. The obtained results are consistent with the existing literature and provide a remarkable enhancement from the previous work in terms of sensitivity.
Joint Coarse-and-Fine Semantic Segmentation

The issue of image semantic segmentation is renowned within computer vision and artificial intelligence. The ground truth in image segmentation is hard to produce and is time- and resource-intensive. Recent research on realtime image semantic segmentation based on deep learning has reduced image resolution through pooling operations, resulting in detail loss in the scene. In order to generate high-quality annotated data, in this paper, we propose a joint coarse-and-fine (JCF) architecture that can repair fragment defects based on a coarse module, and also produce fine details based on a fine module. The experiments show promising results compared to state-of-the-art methods.