Miracle-dz/UniFAR-FTUs huggingface dataset:
A 39-GHz Frequency Tripler With >40-dBc Harmonic Rejection for 5G Communication Systems in 28-nm Bulk CMOS

The generation of the carrier signal with a very low spur level is a key challenge in all the communication systems, especially those operating at mm-waves, where a frequency multiplier is typically used to break the tradeoff between high frequency of operation and low phase noise. This letter describes a frequency tripler tailored to cover the fifth generation new radio 39-GHz frequency range. By embracing the edge-combining concept, together with the combination of a single-stage polyphase filter and a multipoint injection-locked ring oscillator, the proposed frequency multiplier is able to offer robust and consistent high harmonic rejection ratio over a large fractional bandwidth. Fabricated in 28-nm bulk CMOS technology, the measured frequency multiplier features >40-dBc harmonic rejection over an outstanding 35% fractional bandwidth, while consuming 25 mW only from 0.9-V supply. To the best of our knowledge, the proposed multiplier achieves the highest harmonic rejection among the state-of-the-art multipliers in CMOS and BiCMOS technologies, while having 60% smaller area.
The Analysis of State Estimator Condition Number: A Machine Learning Approach

Power system state estimation could be occasionally ill-conditioned because of the network structure and measurement types. This paper investigates the impact of different types of measurements, as well as the measurement placement, to the value of condition number. By using the machine learning approach, the implicit correlations between the condition number and the measurements can be revealed. Due to the paucity of the training data, we manually calculate the accuracy-critical points to form a proper training dataset. Further, not only the condition number itself, but also its liability is presented by using the Bayesian confidence probability. The proposed method is verified by the IEEE 34-bus and IEEE 123-bus feeder testbeds.
Multi-Noise and Multi-Channel Derived Prior Information for Grayscale Image Restoration

Image restoration is an extensively studied area with lots of outstanding algorithms developed. Nevertheless, most existing methods still have some limitations that only apply to a single tailored restoration task or suffer from long iterative reconstruction time or yield unstable results. To address these challenges, this work presents a multi-noise and multi-channel enhanced Deep Mean-Shift Prior (MEDMSP) for grayscale IR tasks. Specifically, we draw valuable high-dimensional prior knowledge by learning a multi-noise stimulated DMSP network from color images with RGB-channels. Variable augmentation technique is then adopted for incorporating the higher-dimensional network prior into the iterative reconstruction procedure. MEDMSP has been evaluated on different IR tasks and compared to a variety of state-of-the-art methods. Experimental results show that the proposed method has better capability in image deblurring and accurate compressive sensing reconstructions in terms of both visual and quantitative comparisons.
Rejection of narrow-band noise and repetitive pulses in on-site PD measurements

This paper deals with the possibilities of noise suppression in partial discharge (PD) measurements under on-site conditions. After the presentation of previous work, a new concept of designing a digital FIR filter with a fixed order to suppress narrow-band disturbances will be presented. The method will be compared to a design using adaptive filters. A filter device, which was developed as an extension for a conventional PD detector, will be presented. In the second part of the paper, a method for suppressing pulse shaped noise synchronous to the test voltage will be discussed. The disturbing pulses are detected automatically in a PD signal by comparing several recorded cycles of the test voltage. There are two possibilities to suppress the pulses. The first one is an off-line method that allows attenuation degrees up to 30 dB, the second one works on line, and can process continuous PD signals. For the latter case a suppression of 14 dB for worst case pulses is possible with the developed hardware. In order to demonstrate the abilities of the filters, several measurements will be shown.
A Wearable, Low-Profile, Fractal Monopole Antenna Integrated with a Reflector for Enhancing Antenna Performance and SAR Reduction

In this paper, we propose and experimentally realize a low-profile, lightweight, flexible, fully textile, fractalbased monopole antenna integrated with a reflector for enhancing antenna performance and specific absorption rate (SAR) reduction in the human body. The proposed antenna shows a simulated bandwidth of 130 MHz (from 2.37 to 2.50 GHz) in the free space (FS) and 128 MHz (from 2.36 to 2.49 GHz) when it is mounted directly on a flat homogeneous phantom, which cover the targeted Industrial, Scientific, and Medical (ISM) band. High radiation efficiency (greater than 74 % in the FS and greater than 70% on a phantom in the ISM band), is combined with a low maximum 10 g averaged SAR of 0.0971 W/kg at net input power 0.1 W, so the proposed antenna can be a good candidate for use in the wearable devices.
SaFe: A Blockchain and Secure Element Based Framework for Safeguarding Smart Vehicles

In the context of Intelligent Transportation System (ITS), smart vehicles have become increasingly complex. Electronic Control Units (ECU) within smart vehicles are now capable of performing intricate operations which ensures reliable functioning of the smart vehicle even in emergency situations. However, these ECU(s) lack a trusted execution/storage environment (TEE/TSE). This makes it vulnerable to many security issues. In this paper, we propose a Blockchain and Secure Element(SE) based framework for smart vehicles called SaFe in which ECU(s) use SE for TEE and TSE. We justify the use of blockchain by showing how it securely facilitates application management on SE when ECU needs are changed. Leveraging on SaFe, we introduce the concept of non-repudiable responsibility. We present our realized framework and testbed based on NXP IMX6Q, Multos M5-P19, MultiChain. Finally, we show through our experimental results that how SaFe improves the performance of safety-critical operations within ECU by as much as 85%, all this while guaranteeing increased security, tamperproofness, immutability and reduced memory, storage, processing overhead.
Convolutional-recurrent Neural Network for Age and Gender Prediction from Speech

This paper deals with age prediction and gender distinction for Interactive Voice Response system. The proposed algorithm uses a convolutional-recurrent neural network. A public dataset is used for training and testing the proposed algorithms. Gender is recognized with average error below 1.55%, while the probability of speakers’ age to be correctly classified into three age groups is higher than 80% on average. Considering the information in the datasets, these results are very promising in order to justify it applicability in the considered systems. The implemented solution does not depend on the length of the input signal.
A Novel Polymerase γ Mutation in a Family With Ophthalmoplegia, Neuropathy, and Parkinsonism

Background Mutations in polymerase γ cause progressive external ophthalmoplegia and a variety of associated symptoms and signs, including neuropathy, ataxia, hypogonadism, hearing loss, muscle weakness, and psychiatric problems. Extrapyramidal signs have been rarely described. Objective To describe a family with a novel polymerase γ mutation and autosomal dominant transmission of progressive external ophthalmoplegia, neuropathy, hypogonadism, and parkinsonism. Design Case report. Patients The proband, a 49-year-old woman with incipient parkinsonism, and her 59-year-old brother with overt parkinsonian features. Main Outcome Measures Mutation in the proband by sequencing the polymerase γ gene and in affected relatives by restriction fragment length polymorphism analysis. Results We found multiple mitochondrial DNA deletions in the proband’s muscle and a novel missense mutation in the polymerase γ gene (A2492G) in the proband and in her affected siblings. Conclusion Parkinsonism was a prominent clinical feature in this family with autosomal dominant ophthalmoplegia, multiple mitochondrial DNA deletions, and a novel mutation in the polymerase γ gene.
Active Frequency Support Control of Energy Storage Power Station Based on Photovoltaic and Energy-storage Microgrid

When the photovoltaic and energy-storage microgrid(PV-ESM) operate under a conventional droop or virtual synchronous generator(VSG) control, the system frequency will be unstable if the load is disturbed violently. To solve the problem, the feedback loop control strategy of the ESPS with a first order differential control links of high-pass filter is proposed from the aspect of optimizing energy storage power station(ESPS) dynamic power response, and the adaptive selection basis of damping coefficient and inertia time constant is given. An improved VSG frequency adjustment strategy based on feedforward power is proposed in order to support power frequency actively by EPSP power adjustment. Taking a typical off-grid PV-ESM scenario in an industrial park as an example, the simulation results show that the proposed strategy could support frequency recovery rapidly when frequency instability induced by load mutation and ensure the quality of power supply.
Weaknesses Identification Using Reliability Tracking in Distribution System with Distribution Generation

There are many components in the distribution system and each component has different influences on system reliability. High density distribution generation is integrated into the county power grid, which has a significant impact on the system reliability as well. In order to identify the components causing the system unreliable, a method for identifying weaknesses of the county power grid based on reliability tracking is proposed. Firstly, the reliability tracking criterions are proposed, then the probability and frequency allocation of the system failure event model based on the criterions are designed. Finally, an example is presented in the final part of this paper to illustrate influences of adding distribution generation to the distribution system, and show the results of system weaknesses identification, and indicate the influence of distribution generation capacity on system weaknesses.
Three-Dimensional CFD Investigation of Performance and Interference Effect of Coaxial Propellers

Performance analysis was carried out for a 1.8 m diameter propeller for use in a multicopter-type Personal Air Vehicle (PAV) with a Maximum Take-Off Weight (MTOW) of 600 kg. Three-dimensional Computational Fluid Dynamics (CFD) simulations were carried out for various pitch settings to identify the pitch producing the best performance for a single propeller and the pitch least affecting the interference flow for fixed-spaced counter-rotating propellers. In this analysis, which used the program STAR-CCM+, the MRF (Moving Reference Frame) technique was used with the compressive flow condition and the k-(j) SST turbulence model. The Figure of Merit (FM) and the Interference Power Factor (${k}_{int}$) were introduced to compare the performance of propellers and the hovering time of the conceptually designed vehicle. The CFD investigation shows that the interference effect is similar to that according to theory, and the lower propeller affects the upper propeller through a distorted flow orientation from upstream, especially at low pitches. The flight time of a large multi copter with currently available battery energy density is so limited that the pure battery-powered air vehicle is appropriate for short-time missions with a payload of 100 kg or more.
Extramural English : A study of Swedish upper secondary school students’ contacts with English outside of school and their attitudes towards English in relation to their English proficiency

The aim of this paper was to look at a group of Swedish upper secondary school students’ extramural English activities in comparison to their final grades and their grades on the National Test in English level 5. The aim was also to see what role motivation could potentially play. The method was of a mixed nature with both questionnaires and interviews. The results show tendencies, in accordance with previous research, that there is a correlation between the students’ grades and their extramural English activities. The results also show that attitudes towards English are in correlation with both extramural English and the students’ grades.
Design of Winter Air-conditioning System

The project work aims to design a winter air conditioning system for the mechanical engineering section of the college of engineering building at King Faisal University, KSA. The winter air conditioning system consists of a heating system, humidity control system and a steam trap system. The basic design of the heating system was considered in this work. Therein, a cross flow heat exchanger was developed such that the room air exchanges heat with steam. Air, the external fluid, undergoes sensible heat transfer and while steam, the tube side fluid, undergoes phase change. Performance charts were developed to analyze the thermal performance of the heat-exchanger as a function of NTU and heat exchanger pass. Also, generalized equations were developed to study external fluid temperature exiting each pass of the heat-exchanger. Such generalized equations have not yet been reported in the available literature.
Modeling of Radiated Emission caused by Coaxial-to-microstrip Transition

The transition of coaxial line to microstrip line will generate unexpected radiated emissions, which degrades the electromagnetic compatibility of the system. Existing circuit models in the literature for this radiation phenomenon are either inaccurate or incomplete. In this work, we proposed a physically-meaningful three-element circuit model for the coaxial-to-microstrip transition, as well as formula to estimate the circuit parameters when the whole structure is electrically short (in this paper, under 1 GHz). Using this model and its analytic equations, the level of total radiated power of the transition can be estimated. To verify the accuracy of the model's prediction, full-wave simulations are performed using a commercial solver. The results calculated by the proposed model follows the same trend as the simulated results, especially at high frequency bands. Besides, it is found that the radiated power resulting from the transition is roughly proportional to $\omega$ to the power of six at low frequencies.
Time-Frequency Reassigned Micro-Doppler Signature Analysis Using the XY-DemoRad System

This article presents the concept of using a new K-band radar demo kit operating on the carrier frequency of 24GHz for the measurement of micro-Doppler signatures. The system used, which is a low-budget radar for research and academic applications, is described and its operation presented through an example of human movement measurement and analysis. Thanks to its small size and low price, the system can be used for research related to the detection and classification of drones, people, animals, vehicles, etc. Additionally, the use of the time-frequency reassignment technique is proposed to boost the quality of micro-Doppler signatures. Such an approach allows processing to be improved in the object classification routine. The method consists in concentrating energy on the time-frequency plane allowing significant components to be separated.
A Unit Cell Construction Based on Equivalent-Circuit Elements for Microstrip Leaky-Wave Antennas

We propose a composite right/left handed transmission line leaky-wave antenna constructed by using cells based on equivalent-circuit elements. In this antenna, we can easily realize a shunt inductor without via because it has the electric-wall symmetry at the center. Furthermore, the proposed antenna has an interdigitated structure dominating the $C_{L}$ and a parallel line structure dominating the $\boldsymbol{L}_{\boldsymbol{R}}$. It is demonstrated numerically that the proposed unit cell can easily construct the leaky-wave antenna having no band gap between the right-hand and left-hand modes.
Joint Maneuver and Beamwidth Optimization for UAV-Enabled Multicasting

Unmanned aerial vehicles (UAVs)-assisted communications have been an essential complement of conventional wireless networks. In this paper, we consider a UAV-enabled multicasting system, where a UAV with a directional antenna of adjustable beamwidth is employed to disseminate a common file to a group of ground users. By minimizing the mission completion time, we investigate how beamwidth control would affect the UAV’s three-dimensional (3D) location/trajectory. First, we consider the quasi-stationary UAV scenario, where the UAV is deployed at a static location. In this case, we jointly optimize the 3D UAV location and antenna beamwidth under the practical constraints on the UAV’s altitude and beamwidth, while ensuring that all users are covered by the main lobe of the UAV antenna. Although this problem is nonconvex, its global optimality can be obtained by using a two-step algorithm, where semi-closed solutions of the 3D location and beamwidth are derived. Next, in the mobile UAV scenario, a joint 3D UAV trajectory and beamwidth design is proposed, additionally constrained by the horizontal and vertical speed. To tackle this nonconvex problem, we develop an iterative optimization algorithm based on successive convex approximation techniques, which updates the 3D trajectory and beamwidth simultaneously in each iteration. Numerical results demonstrate the effectiveness of the proposed design as compared to benchmark schemes.
Peculiarities of Hyperspectral Image Lossy Compression for Sub-band Groups

This paper deals with analysis of component-wise and three-dimensional (3D) lossy compression of hyperspectral data. The latter approach is known to be more efficient due to possibility to employ inter-band correlation of images in neighbor sub-bands. However, there are certain peculiarities for this approach which are subject of our study. Methods of lossy compression that employ discrete cosine transform (DCT) in blocks are studied. It is shown that 3D compression is able to provide considerable benefits in compression ratio and/or mean square error (MSE) of introduced distortions but only under certain conditions. Experiments have been done for real-life hyperspectral data with high input signal-to-noise ratio. Their main results are presented.
An Agent based Resource Provision for IoT through Machine Learning in Fog Computing

Internet of things (IoT) is a large scale distributed system that is growing at rapid fire pace. It is a technological revolution that makes devices smarter, computations intelligent and communications more informative. While IoT still presuming different definitions, its application had set a broader footprint in almost all walks of our daily life. The voluminous amount of data generated by the millions of IoT devices imposes a higher demand on the computation and storage resources. The compute resources to serve the IoT applications need to be chosen depending upon the heterogeneity of the IoT devices. The various constraints of IoT make resource provisioning in the cloud a non trivial task. Fog computing is the apt platform to deal with such constraints of IoT. The IoT challenges like heterogeneity, scalability and low latency can be addressed by fog computing by adapting intelligence features of machine learning in its resource management techniques. In this paper, we propose a resource management technique for fog computing in which an agent adapts centralized learning and distributed scheduling of IoT tasks. This paper considers the micro data center as the resource that have the hardware and software capability to use TCP/IP protocol suite in fog computing paradigm.
Optimized Capacity Configuration of Photovoltaic Generation and Energy Storage for Residential Microgrid

With the energy crisis and environmental protection problems, residential photovoltaic generation technology has developed rapidly. This paper studies the optimized capacity configuration of photovoltaic generation and energy storage for residential microgrids containing photovoltaic generation and energy storage systems. An energy management strategy based on energy storage is proposed. Considering the electricity cost, electricity income and the cost of photovoltaic generation and energy storage system, the optimized capacity configuration model of photovoltaic generation and energy storage with the largest investment benefit/cost ratio is established. The genetic algorithm is used to solve the problem. Finally, the validity of the model and the solution method is verified in the specific residential microgrid.
Detrending moving average analysis of center-of-pressure patterns

Body balance control is crucial for safe accomplishment of movement and motor tasks. Efficient postural balance reduces the risk of injuries and contributes to optimizing motor performance.In this study, one-dimensional and two-dimensional Center of Pressure (CoP) signals analysis using zero-order centered Detrended Moving Average (DMA) was applied to human posture data. The custom stabilometric system was used to record CoP signals from 46 subjects from three groups of different fitness levels (non-sportsmen, diving athletes and roving athletes). Each subject has passed two tests: "upright standing posture with eyes opened" (EO), "upright standing posture with eyes closed" (EC). Each test has a duration of 30 seconds.In order to compare non-linear properties of the CoP signals between groups, averaged log-log plots per state (EO/EC) and per group were calculated and analyzed. The following relationship between scaling exponent and sport level was found: the greater sport level, the more long-range correlations present in the CoP signal recorded in static upright posture.
Reversible Data Hiding in Encrypted Images Using POB Number System

Prediction-error expansion (PEE) methods usually involve the shifting process between peak points and zero points in order to vacate room for embedding. This occurrence will inevitably impose a troublesome because overflow/underflow issue after data embedding may occur, in turn, it dramatically increases the amount of auxiliary information to be transmitted or map information to be embedded. Besides, PEE-based reversible data hiding in encrypted images (RDHEI) methods usually adopt a block-size encryption strategy, but the correlation reservation of intra-block for subsequently embedding may leave opportunities for potential attacks. To deal with these issues, we proposed a novel RDHEI method with the functionality of embedding synchronized with re-encryption, which is well carried out by a data hider using a permutation ordered binary (POB) number system. Unlike conventional PEE-based RDHEI techniques, this scheme takes advantage of two peak points for embedding, but thoroughly abandons the former idea of shifting process. Experimental results verify the superiority of the proposed method, which not only may extend the applications of PEE-based RDHEI schemes substantially, but also vastly extend POB number application scenarios in practice.
mmWave Array Antenna based on Gap Waveguide Technology for 5G Applications

The gap waveguide technology has been shown to provide low loss and easy-to-manufacture antenna solutions in the mmWave frequencies. A gap waveguide array antenna with scanning ability within ±45° designed with focus on 5G applications is presented here. The computed active reflection coefficient of the array is less than −10 dB for all scan angles and the broadside gain is 23 dBi. The proposed antenna can be integrated with active components to increase EIRP and coverage range.