Miracle-dz/UniFAR-FTUs huggingface dataset:
An Extended Coupled-Inductor QZS Inverter with High-Frequency Input Current Ripple Suppression

This paper presents an extended coupled inductor quasi-Z-source inverter (ECL-QZSI), which has advantages like input current ripple suppression and high gain ability. Adding third coupled winding series with the input inductor causes to reduce high-frequency input current ripple. Among the impedance source converters in the same condition to have equal current ripple, the amount of inductor will be decreased significantly compared to the absence of third series winding. Unlike trans-Z-source inverter, in proposed topology input current is continuous which eliminates protector energy source filter and voltage gain is boosted by reducing turns number of primary winding transformer which decreased costs and volume of the transformer. In comparison with improved $\Gamma\text{ZSI}$, proposed converter provides high voltage gain ability. Therefore, ECL-QZSI uses lower duty cycle and consequently higher modulation ratio with reduced elements stress and enhanced quality of output waveforms. All the aforementioned ECL-QZSI features are validated through simulation results in PSIM software and theoretical equations that are given in the following to confirm function of the suggested structure.
Wide Range Current Mirror Implemented with Triode Region Transistors

This paper presents current mirror circuits which can provide current source at voltages very close to high supply voltage and current sink at voltages very close to low supply voltage or ground. The main concept is using transistors operating in triode region by keeping them at same operating conditions. Circuits are analyzed theoretically in general and some simulation results are shown to demonstrate their operation. Also the method of equalizing 2 voltages is presented. Circuits are designed with SAED 14nm technology and simulated with the Synopsys HSPICE circuit simulation tool.
Computer model for heat stress prediction during physical activity

The study of thermal status in man during physical activity in hot environment is actual task as the metabolic heat rate increases essentially and it appears danger of hyperthermia. Modeling is the scientific method that allows to get preliminary answer and to avoid health hazard. The purpose of this paper is to develop and to test new mathematical model for prediction of temperature dynamics of man during human performance in hot environment. It focuses on combined challenge of physical activity and hot environment. The new model takes into consideration exercise intensity and exposure time, environmental characteristics - air temperature, relative humidity and wind velocity. The model represents thermoregulatory responses to exercise and hot environment: vasodilatation of skin to transfer metabolic heat from core to surface and sweating to dissipate heat through sweat evaporation in environment. The model takes into account heat production, heat transfer and heat exchange with environment. The model provides opportunity to obtain recommendations and conclusions on the danger to continue performance in given environment.
Laser Modes of Active Circular Microcavity with Circular Piercing Hole

Spectra, thresholds, and emission directivities of laser modes of a circular active microcavity with a circular piercing hole are calculated numerically as solutions of the Lasing Eigenvalue Problem reduced to the set of the Muller boundary integral equations. Here, we use a trigonometric-trigonometric meshless Galerkin discretization technique. The computational experiments demonstrate that a hole located at a proper place can lead to a notable growth of the directivity of the lasing emission while preserving a low threshold gain.
Method for Searching Music Compositions Based on the Spectral Analysis

The article describes how to search similar audio files by the human-oriented features with followed filtering identical audio files even with interference. It is proposed to analyze the spectrum of the musical composition over the entire period of time and form an acoustic imprint that will characterize the composition as a whole. If the frequency ranges that play the most important role in two different compositions coincide, then such musical compositions are very likely to be similar for humans
Sensitive Characteristics of Hydrogen Sensors Based on Pt/SnO2Nanosized Material

Nanosized semiconductor tin dioxide appropriate for creation of adsorption-semiconductor sensors was synthesized through a sol-gel route. Addition of Pt via impregnation technique allows to obtain highly sensitive sensors to hydrogen micro concentration in air with relatively low power consumption. Properties of such sensors were explained by the role of oxygen chemisorbed on the semiconductor surface in formation of response to reducing gases. The nanosized nature of tin dioxide particles in the obtained semiconductor materials were confirmed by the Xray diffraction method (XRD) and transmission electron microscopy (TEM) data.
Activity patterns in relation to body mass and ambient temperature among overwintering cotton rats (Sigmodon hispidus)

We examined mass-specific activity patterns among overwintering cotton rats (Sigmodon hispidus) in northeastern Kansas. We livetrapped animals for a 24-h period, checking traps every 2 h. Trapping occurred every 2 weeks for 5 months. We estimated probability of capture for each mass class, time class, and date, then tested for differences in probability of capture (i.e., activity levels) using a General Linear Model with temperature as a covariate. Large cotton rats were significantly less active than small and intermediate-sized cotton rats. Activity of small cotton rats increased with decreasing temperature, whereas larger cotton rats were less responsive to temperature. Finally, activity levels of large and small cotton rats did not vary significantly with time of day, but intermediate-sized cotton rats were significantly less likely to be captured during the night than at dusk. Resume : Nous avons examinO les patterns diactivitO spOcifique ‡ la masse chez des Rats-cotonniers hirsutes (Sigmodon hispidus) dans le nord-est du Kansas, en hiver. Nous avons procOdO ‡ la capture dianimaux vivants pendant des pOriodes de 24 h au cours desquelles nous relevions les piges toutes les 2 h. Ces piOgeages ont eu lieu toutes les 2 semaines pendant 5 mois. Nous avons estimO la probabilitO de capture pour chaque classe de masse, chaque classe de temps, chaque date, et OprouvO les diffOrences des probabilitOs de capture (i.e., intensitO des activitOs) au moyen diun modle linOaire gOnOral oo la tempOrature servait de covariable. Les rats-cotonniers de grande taille Otaient significativement moins actifs que les animaux de taille petite ou intermOdiaire. LiactivitO des petits rats-cotonniers augmentait lorsque la tempOrature diminuait, alors que les rats-cotonniers plus gros Otaient moins affectOs par la tempOrature. Enfin, liintensitO de liactivitO chez les gros et les petits animaux ne variait pas significativement en fonction du moment de la journOe, mais les rats-cotonniers de taille intermOdiaire Otaient moins susceptibles diŒtre capturOs durant la nuit quiau crOpuscule. (Traduit par la ROdaction)
Secure Speculative Core

The recent attacks on speculative cores have led people to believe that high-performance cores and security demands contradict each other. This work demonstrates that if the core is designed while considering security demands as a first-class citizen, it can support high-performance computing via out-of-order architectures and remain secure.We propose a new methodology for secure and speculative core (SCC) architecture. The design uses an enhanced out-of-order core architecture to achieve the required high-performance and implements a unique secure-wrapper that guarantees the required security properties. The methodology provides a set of mechanisms to implement the SSC architecture. Our experiments indicate that adding these new features to out-of-order cores such as the Intel Coffee Lake can immunize the system against side-channel attacks, with only minor performance degradation.
An Asymmetrical Cascaded Single-phase quasi Z-Source Multilevel Inverter with Reduced Number of Switches and Lower THD

This paper presents a modified quasi Z-source inverter with a less number of switching devices. In a wide range of modulation index, the output voltage of the proposed inverter has a lower THD compared to Quasi-Z source cascade multilevel inverter (qZS-CMI). To illustrate the superior advantages of the proposed topology over the conventional qZS-CMI, both inverters are studied for the same condition. Various modulation indexes are considered and performance of both topologies are analyzed. By varying the modulation index in both inverters, different voltage amplitudes can be achieved. The obtained results from several simulations demonstrate the higher performance of the proposed topology with lower THD in the output voltage. The most important feature of the proposed topology can be mentioned as reducing the number of semiconductor devices, which leads to reducing the implementation cost of the inverter. Increase reliability and efficiency are the other valuable advantages of proposed structure compared to previous works. A modulation technique based on the alternative phase opposition disposition (APOD) method is adapted, and control system, also, is simplified because of reducing in the number of switches. Comparative study and simulation results are provided to validate the effectiveness of the proposed topology.
Methane Digester Effluent as a Feedstuff for Layers

Abstract Methane digester effluent (MDE) from a full-scale digester (FD) was studied as a potential wet feedstuff for caged layers. Hens fed corn-soybean meal diets meeting National Research Council (NRC, 1977) nutrient requirements and containing up to . 5% MDE, dry matter (DM) basis, showed no significant difference in hen-day egg production when compared with controls. Higher MDE levels (1.0 to 2.6%) produced a significant reduction in egg production. Egg weight and specific gravity were not affected by level of MDE. Haugh unit was adversely affected only in eggs laid by hens fed the highest level of MDE. True metabolizable energy (TME) and nitrogen corrected true metabolizable energy (TMEn) values of MDE samples from two types of digesters, pilot (PD) and full-scale were determined. Dry matter content was 2.92 and 1.58% for PD and FD, respectively. Mean gross energy values were 3502 and 3792 kcal/kg, and mean TME values were 1076 and 692 kcal/kg for PD and FD, respectively (dry matter basis). Both MDE samples had high gross energy values but comparatively low TME values, indicating that a large part of the nutrients in MDE were not digestible. The TMEn values were 936 and 531 kcal/kg for PD and FD, respectively. Based on this study, . 5% full-scale MDE (DM basis) is suggested as the maximum level that should be used in a caged layer diet.
Differential Architecture Search in Deep Learning for Genomic Applications

The data explosion caused by unprecedented advancements in the field of genomics is constantly challenging the conventional methods used in the interpretation of the human genome. The demand for robust algorithms over the recent years has brought huge success in the field of Deep Learning (DL) in solving many difficult tasks in image, speech and natural language processing by automating the manual process of architecture design. This has been fueled through the development of new DL architectures. Yet genomics possesses unique challenges as we expect DL to provide a super human intelligence that easily interprets a human genome. In this paper, the state-of-the art DL approach based on differential search mechanism was adapted for interpretation of biological sequences. This method has been applied on the splice site recognition task on raw DNA sequences to discover high-performance convolutional architectures by automated engineering.The discovered architecture achieved comparable accuracy when evaluated with a fixed Recurrent Neural Network (RNN) architecture. The results have shown a potential of using this automated architecture search mechanism for solving other problems in genomics.
Voltage Stacked Design of a Microcontroller for Near/Sub-threshold Operation

Integrated systems operating in the near/sub-threshold region offer low power and energy consumption. Such systems, however, typically suffer from low efficiency in power delivery, thereby leading to ineffective power savings. In this paper, a voltage stacking system with a RISC-V microcontroller Pulpino at the bottom voltage stack and memory arrays on the top stack is proposed. The memory arrays operate at 0.7 V supply voltage, while the microcontroller operate at 0.4 V supply voltage (near/sub-threshold region) by using the leakage currents from the memory arrays. Instead of using complex voltage regulators, a simple current sink voltage controller with low area and energy overheads is used to stabilize the intermediate voltage rail between the top and bottom power domains. To the best of our knowledge, this is the first work proposing voltage stacking for near/sub-threshold systems. Implemented in a 28-nm FDSOI CMOS technology, the proposed voltage stacking system reduces the power consumption by up to 43% as compared to the conventional implementation in a flat voltage domain.
Ultra-Wide and Flattened Optical Frequency Comb Generation Based on Cascaded Phase Modulator and LiNbO3-MZM Offering Terahertz Bandwidth

In this paper, a new technique for generation of ultra-wide and flattened optical frequency comb (OFC) based on serial cascading of a phase modulator and dual-driven Lithium-Niobate Mach Zehnder modulator (DD-LiNbO3-MZM) is proposed. Over 60 carriers were generated by carefully adjusting the RF switching voltage (RFSV) of the DD-LiNbO3-MZM and the signal frequency of the sinusoidal wave (RF) source. A low power amplified RF source with a signal driving power of 16.9dBm is applied, and the power of CW laser is kept at 3dBm. The frequency spacing (FS) is kept at 20GHz for generating the maximum number of carriers. Nonetheless, the scheme is also tested for the FSs of 64GHz, and 32GHz. Each scenario is examined in simulation environment and the main outcomes are highlighted. The proposed scheme is comparatively simple and the FS varies with the applied RF source on the modulators. The achieved OFC lines have a tone-to-noise ratio (TNR) of over 45dB with an undesired side mode suppression ratio of approximately 20dB. The comb lines are almost flat with a varying power deviation of around 0dB-6dB which is optimized to nearly 0.12dB. Furthermore, the impact of the RFSV on the generated number of carriers is studied in detail. The scheme is analyzed in terms of cost efficiency, power deviations, TNR, optical signal to noise ratio, and number of achieved comb lines.
Modeling Daily Load Profiles of Distribution Network for Scenario Generation Using Flow-Based Generative Network

The daily load profiles modeling is of great significance for the economic operation and stability analysis of the distribution network. In this paper, a flow-based generative network is proposed to model daily load profiles of the distribution network. Firstly, the real samples are used to train a series of reversible functions that map the probability distribution of real samples to the prior distribution. Then, the new daily load profiles are generated by taking the random number obeying the Gaussian distribution as the input data of these reversible functions. Compared with existing methods such as explicit density models, the proposed approach does not need to assume the probability distribution of real samples, and can be used to model different loads only by adjusting the structure and parameters. The simulation results show that the proposed approach not only fits the probability distribution of real samples well, but also accurately captures the spatial-temporal correlation of daily load profiles. The daily load profiles with specific characteristics can be obtained by simply classification.
Nature Stimulated Dual band, Dual Polarized Aerial with Very Good Isolation for A-LTE/5G Base Station Applications

Nature Stimulated Dual-band, Dual Polarized Aerial with Very Good Isolation for A-LTE/5G Base Station Applications is presented. The dual polarization is achieved by using two different bow-tie aerial elements placed in orthogonal orientation. The design consists of 5G Shaped slots on the two arc type arms of bow-tie aerial which enhances the port to port Isolation. The unidirectional radiation pattern is obtained by placing a Metal Ground plane at λ/4 distance. The Radiating Elements are Designed to Operate at 3GPP LTE band 40(2300-2400MHz), Band 41(2496 MHz - 2690 MHz) and Band 42(3400 MHz - 3600 MHz) with VSWR < 1.5 in the above bands. An Isolation of 37dB to 40dB is achieved between the two ports and the Gain of 7.54dBi is observed for both the polarization.
Rehabilitation Exercise Recognition and Evaluation Based on Smart Sensors With Deep Learning Framework

Exercise therapy is seen as one of the major treatments for the rehabilitation for patients, particularly using modern technologies, such as virtual reality or augmented reality. Computer-assisted physical rehabilitation training involves measuring performance by analyzing the movement data collected with a sensory system during prescribed rehabilitation exercises. Human activity recognition is a challenging topic for machine learning in the present area of research. Since the sensor-based activity recognition seeks deep knowledge from various low-level sensor readings concerning human activities. In this paper, the Smart Sensor-based Rehabilitation Exercise Recognition (SSRER) system has been proposed using a deep learning framework. For the recognition of rehabilitation exercise with sensor information, a convolutional neural network (CNN) has been used on dynamic platform(D-CNN) where it has sensory data for physical rehabilitation exercise body movement by Gaussian mixture models (GMM). The input signals and GMMs are in various segments contains shapes for many CNN routes. To retrieve the state transition likelihood of hidden states, the Sensor (S-CNN) utilizes the algorithm of improved lossless information compression as discriminant features of various movements. Therefore, the hybridized CNN of the Sensor (S-CNN) and D-CNN are combined with a deep learning classifier to assess every rehabilitation class exercise at different levels. The categorized deep learning methods show improved performance with best-learned features for any rehabilitation exercise. The difference between the best attribute and the test score analyzed mathematically with our collected data and a variety of activity recognition datasets has been illustrated in this article with test results.
Supply Variations Tolerant Dual Logic Level Converter with Ultralow Output Swing on 14nm FinFet Technology

A novel approach for design method of supply variations tolerant dual logic level converter with ultralow output swing circuit is presented. The main concept of proposal is to convert input logic levels to application specific values. The circuit can tolerate supply level variations, by providing output signal with small output swing. Key point is that architecture can be used in low technology nodes due to its stress resistance. The circuit was designed and simulated in 14nm FinFET technological process using Synopsys mixed signal simulation tools.
Current-Reuse LC Divide-by-8 Injection-Locked Frequency Divider

This paper proposes a wide locking range $\div 8$ ILFD designed in the TSMC 0.18 $\mu$ m CMOS process. The proposed current-reused ILFD is based on $\div 2P -$core LC ILFD stacking on $\div 4n -$core capacitive cross-coupled LC ILFD. Injection MOSFETS in both $\div 2$ and $\div 4$ ILFDs are used as linear mixers. At the supply voltage of 1.7 V and at the incident power of 0 dBm, the locking range is 1.11 GHz (6.385 %), from the incident frequency 16.83 GHz to 17.94 GHz. The core power consumption is 9.537 mW and the die area is $0.931 \times1.2$ mm2
A Modified Double Input Z-source DC-DC Converter for Standalone PV/Battery System Application

In this study, a double input DC-DC converter Z-source converter is proposed for standalone PV/Battery system application. In the suggested topology, the input DC voltage is boosted and achieves higher voltage gain and lower power losses due to the fewer switches. Furthermore, the proposed converter operates with wide range of load and two input sources are capable of supplying output load simultaneously or individually. The structure of the suggested double input DC-DC converter is presented and then, its operation principle is analyzed in detail. Voltage gain of converter is calculated and power management is performed for different states of the converter. Eventually, simulation results are given to confirm the validity of the proposed DC-DC converter and its theoretical analysis.
Aggregation promotes water conservation during diapause in the tropical fungus beetle, Stenotarsus rotundus

During diapause adults of the fungus beetle, Stenotarsus rotundus Arrow (Endomychidae, Coleoptera) form huge aggregations (4000070000 individuals) at the base of a palm tree (Oenocarpus mapora) on Barro Colorado Island, Panama (Wolda & Denlinger, 1984; Tanaka etal., 1987a, 1987b). The beetles remain aggregated for 8-10 months, through the rainy season and the ensuing dry season, and disperse for reproduction at the onset of the next rainy season. Formation of an aggregation is fairly common among diapausing adult insects, especially in tropical species (Denlinger, 1986). Defence and access to mates are often touted as advantages of aggregations for diapausing adults (Hodek, 1973; Monteith, 1982), but in addition the aggregation may have an impact on the physiology of the individuals. In S. rotundus, the size of the aggregation influences the metabolic rate (Tanaka etal., 1988): as group size increases, metabolic rate decreases. The fact that elevation of relative humidity also decreases the beetle's metabolic rate suggests that aggregation may influence the microclimate and contribute to water conservation. We test that possibility in this study by measuring net transpirational water loss in beetles from aggregations of different sizes.
The Calming Effect of Heartbeat Vibration

Previous studies have demonstrated a connection between emotions and bodily signals such as heart rate. For example, they have found that self-reported anxiety can be reduced by perceiving heartbeat-like vibration, and users experiencing their own heartbeats via vibration have reported that they felt calmer. However, whether the influence of haptic heartbeat feedback occurs at the physiological level has not yet been investigated, and previous studies were limited to the recovering effect from stress. Here, we investigated whether heartbeat feedback provided by a haptic device has a positive effect on physiological reactions in a relaxing activity. Specifically, we assessed the heart rate variability when users received haptic feedback from their own heartbeat. In addition, we used heartbeat sound as auditory feedback to investigate whether it has an influence on those reactions. Our results show that the heartbeat vibration influenced the users’ heart rate variability and helped them physiologically relax. On the other hand, no effect of heartbeat sounds was observed. We also examined the influence of both feedback on participants’ self-reported anxiety and found no effect. These findings provide insights into the involuntary effects of heartbeat feedback at deeper levels and open up the possibility of developing a haptic biofeedback device.