Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and modeling of improved controller using DC source fed permanent magnet synchronous motor drive with enhanced DC-DC converter by reducing vibrations for industrial applications

The proposed research involves Design and Modeling of Improved Controller (PID), Using DC Source Fed Permanent Magnet Synchronous Motor Drive with Enhanced DC-DC Converter by reducing vibration for Industrial Applications. It consists of a DC-DC converter, voltage-link module, fractional second order system PID controller. In this proposed improved controller, enhanced converter, DC-link switching is achieved by a bridged ripple voltage which results in the improved quality of output power, and it also reduces vibration, and noise in the drive without affecting mechanical properties. Reduction of switches makes the system more cost effective. A simulation of fractional second-order function, Buck-Boost converter is designed, and its concert is analyzed for various functioning factor conditions. The Three-Port Converter and B4-Inverter fed Permanent Magnet Synchronous Motor Drive focused on the industrial applications. An Ampere-hour unit powered converter is used at inductor terminal, which has been realized by minimizing the distortion and decreasing the Ampere-hour unit rating a new topology is proposed. As Comparing with previous system, the proposed system results in the reduced voltage fluctuation at the switches. Hence the proposed system proves power switches are compact, with reduced inrush current and improved output transfer function. Based on this a fulfilling closed loop validation has been performed for both simulation and experimental arrangement.
High-Speed Optical Secure Communication System Using Phase Modulated Random Noise

We report on a 10Gb/s secret transmission of an intensity-modulated message over 100km standard single mode fiber. The intensity-modulated message is encrypted with a phase-modulated random noise. Without decryption, the transmission signal appears to be noise-like and cannot be recovered with post-processing method. With decryption, bit error rate below 10–8 is obtained. Decryption degradations with the mismatch of different hardware parameters are researched, This scheme provides a large key space with delay time the sensitive secret key and a robust decryption with the robustness of other hardware parameters.
The Online Random Fourier Features Conjugate Gradient Algorithm

Kernel conjugate gradient (KCG) algorithms have been proposed to improve the convergence rate and filtering accuracy of kernel adaptive filters (KAFs). However, sparsification is still required in the KCG algorithms to curb the growth of network structure for online applications. To address this issue, a novel online random Fourier features conjugate gradient (RFFCG) algorithm based on the minimum mean-square error criterion is proposed by approximating the kernel with the random Fourier features. With no requirement of sparsification, the proposed RFFCG significantly reduces the computational and storage complexities in KAFs. Meanwhile, the RFFCG efficiently uses only one error in the loss function to approach the filtering accuracy of the KAF with sparsification based on all the errors in the loss function. Monte Carlo simulations on short-term chaotic time-series prediction validate the superiorities of the proposed RFFCG algorithm.
NOISE AND DISSIPATION DURING PREHEATING

We study the consequences of noise and dissipation for parametric resonance during preheating. The effective equations of motion for the inflaton and the radiation field are obtained and shown to present self-consistent noise and dissipation terms. The equations exhibit the usual parametric resonance phenomenon, allowing for exponential amplification of the radiation modes inside the instability bands. By focusing on the dimension of the border of those bands we explicitly show that they are fractal, indicating the strong dependence of the outcome in the initial conditions. The simultaneous effect of noise and dissipation to the fractality of the borders are then examined.
Multisection branch line couplers as dual‐band crossovers using coupled lines for wideband applications

This article presents multisection branch line couplers as dual‐band crossovers using coupled lines (CLs) for wide bandwidth (BW) applications. The efficiency of the CL as a dual‐band impedance transformer and its closed form design equations has also been explored. Specifically, dual‐band crossovers having three and four sections have been designed using the advanced design system software and then implemented on a Rogers 5870 substrate with a dielectric constant of 2.33 and thickness of 0.787 mm. The designs have been developed for 1 and 2.6 GHz operating frequency bands. A much wider BW and interband suppression, of 225/218 MHz and 86.45% for the three‐section prototype and 269/260 MHz and 85% for the four‐section prototype respectively, have been achieved. It is concluded that the proposed crossovers exhibited a much wider BW as compared to the existing dual‐band crossovers.
Crowd Behavioural Analysis at a Mass Gathering Event

Abstract Religious occasions, gathering at fairs and terminals, are the events of crowd gatherings. Such gatherings act as severe threats for crowds because of high density in less space, which ends up in adverse outcomes resulting in crowd stampedes. The movement of an individual person in a crowd is influenced by the physical factors. In the present study, characteristics like age, gender, group size, child holding, child carrying, people with luggage and without luggage are considered for crowd behaviour analysis. The average speed of the crowd movement was observed as 0.86 m/s. The statistical analysis concluded that there was a significant effect of age, gender, density and luggage on the crowd walking speed. Multi-linear regression (MLR) model was developed between crowd speed and significant factors observed from the statistical analysis. Location 1 data was used for the model development. This developed model was validated using Location 2 data. Gender has more significant effect on speed followed by luggage and age. This study helps in proper dispersal of crowd in a planned manner to that of diversified directional flow that exist during crowd gathering events.
Intuitionistic Fuzzy Multiple Criteria Group Decision Making: A Consolidated Model With Application to Emergency Plan Selection

With complexity and uncertainty having an increasing impact on the decision-making environment, much attention is being paid to the development and application of multiple criteria group decision-making (MCGDM) models owing to the potential for fully exploiting the diverse strengths and expertise of various members. In general, inevitable interactions among decision makers (DMs), when a number of DMs share similar knowledge and experiences, can have a significant impact on the management of decision information directly or indirectly related to DMs, and can easily lead to distorted and unconvincing decision outcomes. In order to model the MCGDM problem in which DMs share a similar background, a consolidated MCGDM model in the context of intuitionistic fuzzy sets (IFSs) is developed. First, we refine the constructive principles for intuitionistic fuzzy entropy (IFE) and use them as a basis to produce a novel IFE measure simultaneously factoring in the intuitionism and fuzziness of IFSs. With the aim of dealing with the impact on the specifications of the weights of DMs and criteria, an integrated method is then proposed based on the novel IFE measure, 2-additive fuzzy measure, and Choquet integral. Due to their capability of modeling effectively the interrelationships among arguments, the weighted intuitionistic fuzzy Bonferroni mean (WIFBM) and the weighted intuitionistic fuzzy geometric Bonferroni mean (WIFGBM) are introduced to fuse the individual evaluation values of alternatives on criteria. In addition, simple additive weighting based on the WIFBM or WIFGBM is applied to rank alternatives and select the best one. Finally, the feasibility and effectiveness of the proposed model are explored with a case study of an emergency plan decision-making problem accompanied with sensitivity and comparison analysis.
Optimization of Medium Composition and Cultivation Parameters for Fructosyltransferase Production by Penicillium aurantiogriseum

Fructooligosaccharides have been mainly produced by microbial fructosyltransferases (FTase) enzymes. The present work focuses on the optimization of medium composition and cultivation parameters affecting FTase produced by Penicillium aurantiogriseum AUMC 5605 in shake flask cultivation. FTase production was optimized in two steps using DeMeo’s fractional factorial design. A 1.46-fold increase in FTase production (105.4 U/mL) was achieved using the optimized culture medium consisting of (g/L): sucrose, 600; yeast extract, 10; K2HPO4, 5; MgSO4·7H2O, 0.5; (NH4) 2SO4, 1.0 and KCl, 0.5. The obtained results showed that the maximum FTase enzyme activity was produced at initial cultivation pH values ranging from 6.0–6.5, at agitation speed of 200 rpm and using vegetative fungal cells as inoculum. Moreover, results showed that optimization of medium composition and some cultivation parameters resulted in an increase of about 93.7% in the enzyme activity than the nonoptimized cultivation conditions after 96 h of cultivation. Additionally, maximum production and specific production rates recorded 2340 U/L/h and 102 U/L/h/g cells, respectively.
Data Aggregation in Massive Machine Type Communication: Challenges and Solutions

Machine type communication (MTC) is a fundamental technology to realize the concept of fully connected world in fifth generation (5G) Internet of Things (IoT). The massive roll out of the MTC devices is a serious challenge for cellular networks from operational and management perspective, including massive access and network congestion. Many proposals have been put forward by the research community to cater to the nuisance of massive MTC (mMTC) access in cellular networks. Recently, data aggregation has attracted a lot of research attention owing to its robust ability to resolve the above-mentioned challenges. In this paper, we review the recent development in data aggregation techniques, including their application scenarios, design, and limitations. Commencing with the application scenarios and current challenges in the MTC network, the classification of various proposed solutions for massive access along with the family of data aggregation techniques is discussed in detail. By doing so, it provides an insight about the future design trends that can propel the current research efforts to curb the mMTC access in a cellular network.
A Novel Detection Approach for Moving Object with Dynamic Background

Moving object detection from video data is one of the most active research points in computer vision area. Recently the $\ell$2,0-norm has shown remarkable advantages in signal processing, and the total variation (TV) has been widely used in image processing due to its ability to preserve sharp edges, which are usually the most important for clear object extraction. In this paper, firstly, a unified regularization framework named $\ell$2,0 mixed norm and total variation regularized RPCA (MNTV-RPCA) is presented to extract the foreground, which is able to enhance the smoothness of boundary. Secondly, the alternating direction method of multipliers (ADMM) is employed to deal with the proposed constrained minimization problem. Experimental results show that our method have better performance than some state-of-the-art methods especially for the cases with dynamic backgrounds.
A New Descriptor for Pedestrian Detection Based on Feature Fusion

Pedestrian detection is a significant task with many applications including smart vehicles, surveillance and robotics. Due to the variations in appearance, pose, color, illumination and interference, accuracy and robustness in pedestrian detection are desired to be improved. This paper proposes a new method that introduces Choquet integral to fuse the Histogram of Oriented Gradients (HOG) and local binary pattern (LBP) descriptor in parallel. The fusion descriptor is used as a detector for pedestrian detection with Support Vector Machine (SVM) algorithm. Experiments are carried out on the INRIA Person Dataset and the results validate the efficiency of the proposed method.
A Broadband Circularly Polarized Fabry-Perot Resonant Antenna Using A Single-Layered PRS for 5G MIMO Applications

This paper presents the design and the realization of broadband circularly polarized (CP) Fabry–Perot resonant antenna using a single superstrate for the fifth-generation (5G) wireless multiple-input-multiple-output (MIMO) applications. The antenna consists of a corner cut patch with a diagonal slot and a superstrate. The individual resonances of the corner cut patch and patch with diagonal slot are overlapped to improve the intrinsic narrow impedance and axial ratio (AR) bandwidths of the single-fed patch antennas. A half-wavelength spaced superstrate having a half-wavelength thickness is employed as a partially reflecting surface (PRS) for high gain and wide AR as well as impedance bandwidths. The design procedure and mechanisms of the PRS are discussed in detail through the equivalent circuit and ray tracing analysis. Simulated and measured results show that the proposed antennas have a wide operational bandwidth of 25–33 GHz (27.6%) for <inline-formula> <tex-math notation="LaTeX">$\vert \text{S}_{11}\vert < -10$ </tex-math></inline-formula> dB with a stable gain achieving a maximum value of 14.1 dBiC and a wide 3-dB AR bandwidth ranging from 26–31.3 GHz (17%). This operational bandwidth of the antenna covers the proposed entire global 5G millimeter wave (mmWave) spectrum (26–29.5 GHz). Moreover, a <inline-formula> <tex-math notation="LaTeX">$2\times 2$ </tex-math></inline-formula> MIMO antenna is designed using the proposed antenna in such a way that the polarization diversity of the adjacent radiator is exploited, resulting in high isolation between antenna elements and low-envelope correlation coefficient, which makes it a suitable candidate for future 5G MIMO applications.
A Real-Time Schedule Optimization of Massive Electric Vehicles and Energy Storage System Based on Grey Wolf Optimizer

A real-time coordinated schedule model for massive electric vehicles (EVs) and energy storage system (ESS) is proposed to reduce real-time scheduling difficulties considering the accurate constrains of each EV and the safe operation of the distribution network. Newly connected EVs are clustered into different clusters by the charging completion time which is set by their owners. The optimization process includes two steps. In the first step, the Grey Wolf Optimizer (GWO) is adapted to calculate the charging/discharging strategy of EV clusters and ESS, in the second step, allocation algorithm based on energy buffer factor consensus is proposed to make detail strategy for each EV in the cluster considering accurate constrains. The simulation results show that, the model proposed has a great performance on massive EVs and ESS real time scheduling optimization and the validity and practicability of GWO and the allocation algorithm is verified when compared to other algorithms.
A Novel NMF Algorithm for Detecting Clusters in Directed Networks

Cluster detection is an important technique for a better understanding of the structure of a complex network. In this paper, we consider the problem of detecting clusters in directed networks. It is known that this problem can be formulated as an optimization problem in the form of nonnegative matrix factorization. Also, an iterative algorithm for solving the optimization problem has been developed. We derive a novel iterative algorithm for solving the same optimization problem, and experimentally evaluate the convergence rate and the cluster detection capability.
Color Analysis on the Symbolic Temple of King in Chakri Dynasty of Thailand

Thailand has been associated with the monarchy and Buddhism for a long history. The way of life and culture are conveyed harmoniously through the monastery. In the current Chakri dynasty of Thailand, the integrated customs, diplomatic relations and country development continuously improve in each monarch. These also influence the use of colors in architecture of Buddhist temples. Therefore, this research aims to study the characteristic of color usage focusing on the exterior architecture of the symbolic temple of king in Chakri dynasty in order to understand the embedded expression and historical linkage. In this study, the calibrated colors of each photo were converted into CIE L*a*b* color space before applying the k-means clustering based selection for determining the representative colors of the temple. The characteristics and impressions of color arrangement were discussed and obtained by color image chart and color image scale.
Menstrual Cycle Changes Joint Laxity in Females—Differences between Eumenorrhea and Oligomenorrhea

The purpose of this study was to investigate the changes in anterior knee laxity (AKL), stiffness, general joint laxity (GJL), and genu recurvatum (GR) during the menstrual cycle in female non-athletes and female athletes with normal and irregular menstrual cycles. Participants were 19 female non-athletes (eumenorrhea, n = 11; oligomenorrhea, n = 8) and 15 female athletes (eumenorrhea, n = 8; oligomenorrhea, n = 7). AKL was measured as the amount of anterior tibial displacement at 67 N–133 N. Stiffness was calculated as change in (Δ)force/Δ anterior displacement. The Beighton method was used to evaluate the GJL. The GR was measured as the maximum angle of passive knee joint extension. AKL, stiffness, GJL, and GR were measured twice in four phases during the menstrual cycle. Stiffness was significantly higher in oligomenorrhea groups than in eumenorrhea groups, although no significant differences between menstrual cycle phases were evident in female non-athletes. GR was significantly higher in the late follicular, ovulation, and luteal phases than in the early follicular phase, although no significant differences between groups were seen in female athletes. Estradiol may affect the stiffness of the periarticular muscles in the knee, suggesting that GR in female athletes may change during the menstrual cycle.
Breath Qigong Improves Recognition in Seniors With Vascular Cognitive Impairment.

Context Vascular cognitive impairment (VCI) or vascular dementia is widely considered to be the second-most-common cause of dementia after Alzheimer's disease, accounting for 20% of cases. Little is known about the effectiveness of breath qigong for seniors suffering from VCI or dementia. Objectives For seniors with VCI, the study aimed to compare the benefits of qigong practice, cognitive training, and qigong practice + cognitive training in improving cognitive function, memory, executive function, and daily problem-solving ability. Design The study was a randomized, controlled pilot study that used a prospective design with repeated measures. Setting The study took place at the Tianjin Medical University General Hospital (Tianjin, China). Participants Participants were 93 patients with VCI at a clinic at the hospital. Intervention The participants were randomly assigned to 1 of 3 groups: (1) qigong practice, an intervention group; (2) cognitive training, a positive control group; or (3) a combination of qigong practice and cognitive training, an intervention group. Participants received the treatments for 3 mo. Outcome Measures All outcome measures were undertaken at baseline and postintervention. The measures included (1) the Montreal cognitive assessment, (2) the Loewenstein occupational therapy cognitive assessment, and (3) the Barthel activities of daily living index. Results All 3 groups showed significant improvements in general cognitive function, memory, executive function, and daily problem-solving ability (P < .05). Conclusion Qigong practice is an easy and convenient exercise performed at no cost and has the potential to improve the cognitive functions of older adults with mild VCI.
Soft Switching DC Converter for Medium Voltage Applications

A dc-dc converter with asymmetric pulse-width modulation is presented for medium voltage applications, such as three-phase ac-dc converters, dc microgrid systems, or dc traction systems. To overcome high voltage stress on primary side and high current rating on secondary side, three dc-dc circuits with primary-series secondary-parallel structure are employed in the proposed converter. Current doubler rectifiers are used on the secondary side to achieve low ripple current on output side. Asymmetric pulse-width modulation is adopted to realize soft switching operation for power switches for wide load current operation and achieve high circuit efficiency. Current balancing cells with magnetic component are used on the primary side to achieve current balance in each circuit cell. The voltage balance capacitors are also adopted on primary side to realize voltage balance of input split capacitors. Finally, the circuit performance is confirmed and verified from the experiments with a 1.44 kW prototype.
A procedure to estimate normal and friction contact parameters in the stance phase of the human gait

Abstract A new approach to estimate normal and tangential contact parameters in the foot-ground contact during human gait was proposed. A correct estimation of the contact parameters would be very important in the resolution of predictive forward dynamic problems. The normal contact forces have been well estimated in the literature. But accurate estimation of tangential forces has not been reached yet. This work proposed a new procedure to accurately estimate friction forces. The approach has been based on the consideration of the modulus of the tangential force instead of its components. This modulus was introduced together with the modulus of the normal contact force and its two associated moments in an optimization algorithm to fit the contact forces provided by the model to the experimental data obtained with a force plate. An inverse dynamics problem was solved as a step previous to the optimization algorithm. The results showed that both the normal and tangential forces and the moments in the horizontal plane were in agreement with the experimental measurements. This work also analyzed the influence on the results of the friction law. The results obtained with the general friction law, which considered dry (static and dynamic) and viscous friction, were compared with results provided by simpler laws. The analysis of the components of the friction forces pointed out the importance of the Stribeck component in the resultant force instead of the viscous friction which played a minimal role. But for modelling the stick-slip transition, the implementation of a general friction law is necessary.
The Cultural Perspective Of Filipino In Times Of Pandemic

Most Filipinos have different cultural perspective in times of Pandemic because they have their own believes. A good example is they are well known in terms of “Mamaya na System” for example in terms of the vaccination program here in the Philippines they will just follow if the government and the private entity will be requiring the vaccination ID Card anytime they have visited any places in the Philippines. The research suggested that to avoid this kind of situation occurs specially in this time of a pandemic. It is highly suggested implement stricter policies per places for example requiring them to wear Vaccination card at all time as part of the new Normal.