Miracle-dz/UniFAR-FTUs huggingface dataset:
DOCUMENTING A COMPLEX MODERN HERITAGE BUILDING USING MULTI IMAGE CLOSE RANGE PHOTOGRAMMETRY AND 3D LASER SCANNED POINT CLOUDS

Integrating different technologies and expertises help fill gaps when optimizing documentation of complex buildings. Described below is the process used in the first part of a restoration project, the architectural survey of Theatre Guaira Cultural Centre in Curitiba, Brazil. To diminish time on fieldwork, the two-person-field-survey team had to juggle, during three days, the continuous artistic activities and performers’ intense schedule. Both technologies (high definition laser scanning and close-range photogrammetry) were used to record all details in the least amount of time without disturbing the artists' rehearsals and performances. Laser Scanning was ideal to record the monumental stage structure with all of its existing platforms, light fixtures, scenery walls and curtains. Although scanned with high-definition, parts of the exterior facades were also recorded using Close Range Photogrammetry. Tiny cracks on the marble plaques and mosaic tiles, not visible in the point clouds, were then able to be precisely documented in order to create the exterior facades textures and damages mapping drawings. The combination of technologies and the expertise of service providers, knowing how and what to document, and what to deliver to the client, enabled maximum benefits to the following restoration project.
Digital controller design for buck converter with the reduction of phase transition and output voltage oscillation under transient state

The main theme of this paper is to present a new digital controller design method for buck converter. The presented digital controller is aimed at reducing the phase transition in frequency domain and output voltage oscillation under transient state. These special features can be achieved by taking both transfer function of control to output and output impedance into consideration. The zeros of controller are selected neither real nor pole-zero cancellation. As compared to previous approaches which determine the zeros of controller based upon pole-zero cancellation or simple real zeros, the presented method selects these zeros according to the quality factor of plant. As the quality factor of compensator zeros are in the range of 0.3 to 0.5 times of quality factor, the phase transition and the oscillation of output voltage under transient state can be reduced significantly. Experimental results derived from an FPGA experimental digital-controlled buck converter with switching frequency up to 200 kHz are presented for confirmation.
Enhancing the Learning Value of Worked Examples [Educator's Corner]

There is an often-told story about a preacher who accompanied his sermon on the vices of alcoholic drinks by a demonstration. He took a few live worms and dropped one each in different bottles containing water, milk, fruit juices, and alcohol, whereupon only the worm dropped in alcohol stopped wiggling and died. The preacher expectantly looked towards the audience and asked them what lesson they learned from the demonstration. The old drunk in the back row raised his hand and offered, “If I drink alcohol, I will not have any worms in my stomach. ”
Variability of Polyphenolic Compounds and Biological Activities among Perilla frutescens var. crispa Genotypes

Perilla frutescens var. crispa (Pfc) of the family Lamiaceae is used as a medicinal plant due to its pharmacological properties. Although Pfc is an important resource for the medical nutrition industry, the variability in phytonutrients and biological activities among genotypes of Pfc is not well understood. The effects of genotype on the phytochemical composition, antioxidant activities, antimelanogenic principles, and anti-inflammatory effects of Pfc were determined using eight Pfc genotypes. Using HPLC analysis, we identified 30 polyphenolic compounds from Pfc, although variation was observed in the polyphenolic composition of Pfc genotypes. Pfc 5 exhibited antimelanogenic activity in B16F10 melanoma cells via inhibition of tyrosinase activity. In addition, Pfc 2 strongly inhibited lipopolysaccharide-induced nitric oxide production through translational downregulation of inducible NOS in RAW264 murine macrophages. Taken together, the results of our study reveal the significant impacts of genotype on phytonutrients and biological activities. This finding will assist in the breeding and genetic engineering of Pfc in order to meet future phytonutrition and health challenges.
Short-term demand forecasting of shared bicycles based on long short-term memory neural network and climate characteristics

Shared bicycle is an emerging industry in recent years. It is an important part of urban transportation system. Its shortterm demand forecasting is of great significance to the supply, management and allocation of shared bicycle resources. The data of shared bikes are crawled to analyse the impact of time and climate characteristics on the demand for shared bikes. The short-term demand of shared bicycles is predicted by long short-term memory neural network. The experimental results showed that the long short-term memory neural network is suitable for the prediction of shared bicycle demand, and the prediction results with climate characteristics are better than those with only time series. Applying this model to predict the short-term demand of shared bicycles can improve the configuration efficiency of shared bicycles. On this basis, it provides a basis for establishing accurate and effective shared bicycle configuration strategy.
Environmental influence on preterm and term infants over rolling movement. A influência do ambiente no movimento de rolar de crianças nascidas pré-termo e a termo.

Introduction: Over a lifetime constant changes occur in the complexity and quality of the execution of motor actions, characterizing the motor development. External (environmental) factors may act positively or negatively in the cour- se of some motor skill, such as the ability of rolling. Objective: It is about an analytical cross-sectional study aimed to analyze the positioning of the cradle of preterm and terms infants relating to the rolling movement. Method: The sample comprised 27 infants of both genders, divided into two groups (G1 and G2). G1 was composed of 8 premature infants included in a motor stimulation project and G2 was composed of 19 term infants enrolled in a nursery school. A questionnaire was sent to parents/caretakers and later a practical assessment was held in which the rolling motion was stimulated with rattles, three times for each side (left/right), observing the presence or absence of facilitation in this action. Results: It was found that in both groups, most of the cradles were placed with one of the sides against the wall and the statistical analysis of the data indicated a significant correlation to the placement of the cradle in space and the ease of rolling for preterm infants (p<0.05) and terms infants (p<0.01), while the stimulation was performed by the study researcher. Conclusion: Therefore, it was possible to conclude that there was an ease of rolling to the contralateral side of the wall, i.e. to the side of largest environmental stimulus, which emphasizes the importance of a sensory-rich environment in the course of a proper infant development.
Chinese calligraphy recognition system based on convolutional neural network

This paper presents a Chinese calligraphy recognition system which can extract text from an image of Chinese calligraphy and recognize its style of calligraphy fonts. A multi-label convolutional neural network (CNN) recognition model is created and trained to recognize both textual content and font of single Chinese character at the same time. A large number of calligraphy images of single Chinese character are collected and prepossessed to form a dataset for training the model. Several images of calligraphy works of ancient Chinese calligraphers are used to evaluate the performance of the proposed system, and the experimental results showed the capability of the proposed system to recognize Chinese calligraphy.
Can Current Hyperspectral Infrared Sounders Capture the Small Scale Atmospheric Water Vapor Spatial Variations?

Severe storms are often associated with high temporal and spatial variations in atmospheric moisture deviation. Satellite‐based hyperspectral IR sounders are widely used for weather forecasting and data assimilation in numerical weather prediction. Current infrared (IR) sounders have spatial resolutions ranging from 12 to 16 km, with future sounders improved to 4–8 km. It is important to understand if measurements from the current and future IR sounders can capture small‐scale atmospheric moisture variations, especially during mesoscale weather events. Using measurements from three Advanced Himawari Imager moisture absorption bands, different sounder resolutions are simulated for sub‐footprint moisture variation analysis. Current sounders are limited when attempting to capture small‐scale moisture variations, especially over land and in the pre‐convection environment. In contrast, future sounders such as the InfraRed Sounder with 4 km resolution can better capture such small‐scale variations. In addition, the higher spatial resolution IR sounders provide more clear sky observations for applications.
Modeling methodologies to study PWB assembly reliability

The objective of this paper is to develop physics-based methodologies for board-level reliability modeling. These methodologies include guidelines on how individual package models should be created. These guidelines allow for individual package models to be easily integrated for creating a board-level model. The methodologies also include optimization of mesh densities and material properties to address different modes of failure. These optimizations are controlled through parameterization of FEM models. Using the methodologies developed, computer tools have been created to decrease the time needed to perform a detailed numerical analysis. These tools allow the user to quickly create, run and interpret the board-level reliability model.
Low Noise FEGV Designed by Numerical Method Based on CFD

This paper describes a low noise FEGV (Fan Exit Guide Vane), which is designed by a fan noise prediction method based on CFD. Fan noise is predicted by a hybrid scheme, which is the combination of three-dimensional CFD and three-dimensional linear theory. Characteristics of noise sources are investigated in some kinds of FEGV shapes. High amplitude areas spread not only along the leading edge but also in the span-wise positions along the mid-chord. It is found that high amplitude areas around the mid-chord make an important role in noise generation, and appropriate aft-ward swept angle and span-wise distribution of leaned angle could reduce the amplitude of the noise sources keeping aerodynamic performance. A fan noise test for fan scale models has been conducted at an anechoic test facility in IHI Mizuho to demonstrate noise reduction and performance of low noise FEGV. Noise reduction can be achieved keeping aerodynamic performance compared to conventional straight FEGV.Copyright © 2004 by ASME
Direct ink write printing of resistive-type humidity sensors

To practice the development of printed electronics, researchers need to have the access to dedicated printer of electronic materials. However, commercial printing machines require large capital investment. Direct ink write (DIW) printing on the other hand operates with single printing head and less complex system therefore is promising for tight budget projects. Herein, a DIW printing system was home-built by making modifications to a 3D printer with ready to use components. Direct pattering and minimal printing line width of 230 ± 10 µm are demonstrated using an all solution-based Ag ink. Resistive-type humidity sensors were fabricated with DIW printed Ag electrodes and poly (diallyl dimethyl ammonium chloride) (PDDA) sensing layer. Humidity sensing performance of the sensors were examined and by taking advantage the flexibility of printing deposition, DIW printing was used to make quick modification toward a partially covered sensor structure for improved performance. Sensing response of more than 99% was obtained from 10% RH to 90% RH. Smaller hysteresis of ±4.4% RH and faster response of 7 s for adsorption and 213 s for desorption were obtained with the partially covered sensor. DIW printing is found to be a useful tool for device prototyping and ink development of printed electronics.
The Investigation of Nonlinear Polynomial Control Systems

The paper considers methods for estimating stability using Lyapunov functions, which are used for nonlinear polynomial control systems. The apparatus of the Gro¨bner basis method is used to assess the stability of a dynamical system. A description of the Gro¨bner basis method is given. To apply the method, the canonical relations of the nonlinear system are approximated by polynomials of the components of the state and control vectors. To calculate the Gro¨bner basis, the Buchberger algorithm is used, which is implemented in symbolic computation programs for solving systems of nonlinear polynomial equations. The use of the Gro¨bner basis for finding solutions of a nonlinear system of polynomial equations is considered, similar to the application of the Gauss method for solving a system of linear equations. The equilibrium states of a nonlinear polynomial system are determined as solutions of a nonlinear system of polynomial equations. An example of determining the equilibrium states of a nonlinear polynomial system using the Gro¨bner basis method is given. An example of finding the critical points of a nonlinear polynomial system using the Gro¨bner basis method and the Wolfram Mathematica application software is given. The Wolfram Mathematica program uses the function of determining the reduced Gro¨bner basis. The application of the Gro¨bner basis method for estimating the attraction domain of a nonlinear dynamic system with respect to the equilibrium point is considered. To determine the scalar potential, the vector field of the dynamic system is decomposed into gradient and vortex components. For the gradient component, the scalar potential and the Lyapunov function in polynomial form are determined by applying the homotopy operator. The use of Gro¨bner bases in the gradient method for finding the Lyapunov function of a nonlinear dynamical system is considered. The coordination of input-output signals of the system based on the construction of Gro¨bner bases is considered.
A Model-Driven Architecture for Automated Deployment of Microservices

Microservice architecture consists of a collection of loosely coupled, self-contained services that can be deployed independently. Given the limited capacity of the resources for a large number of services, the deployment of the services does not scale well and leads to operational complexity and runtime overhead. This paper proposes a model-driven approach for the automated deployment of microservices to minimize the execution cost and communication costs among the microservices. The identification of the feasible deployment is defined at the architecture design level based on the provided capacity of the resources and the collection of microservices. The corresponding tool support using Eclipse Modeling Environment is described, and a case study on book shopping is used to illustrate the approach.
Risk Ranking Determination of Combination of Foodborne Pathogens and Livestock or Livestock Products

This study was performed to determine risk ranking of the combination of pathogen-livestock or livestock products to identify the most significant public health risks and to prioritize risk management strategies. First, we reviewed foodborne outbreak data related to livestock products and determined main vehicles and pathogens according to the number of outbreak and case. Second, expert's opinion about management priority of pathogen-live- stock product pairing was surveyed with 19 livestock experts in the university, research center, and government agency. Lastly, we used the outcome of Risk Ranger (semi-quantitative risk ranking tool) of 14 combinations of patho- gen and livestock or livestock products. We have classified the combination of pathogen-livestock products into group I (high risk), II (medium risk), and III (low risk) according to their risk levels and management priority. Group I, which is the highest risk for foodborne outbreak, includes Salmonella spp. /egg and egg products, Campylobacter spp. /poul- try, pathogenic E. coli/meat and processed ground meat. In conclusion, the results of this study will provide the spe- cific guideline of mid- and long-term planning for risk assessment and risk management prioritization of the combination of pathogen and livestock, or livestock product.
Software system integration of heterogeneous swarms of robots

Swarm robotics has gained momentum in the last years due to impressive technological and scientific advances. A wide range of application areas benefit from the power of collective behaviors and emergent intelligence even if individual agents in a swarm are simple and have limited sensing and processing capabilities. This paper presents a new approach to the problem of software system integration of heterogeneous robots in a swarm. We showcase the capabilities of this approach by providing a sound methodology, full code and demonstration videos of the run-time platform through experiments with heterogeneous swarms. The proposed solution is shown to be modular, scalable, robust, and flexible.
Modifications of Paper Surfaces with Composite SiOx/Polymer Coatings

The composite SiOx/polymer films are deposited as a top-coatings onto the paper substrates by radio frequency (RF) reactive magnetron co-sputtered two targets, silica and dicyclopentadiene dioxide cured with maleic anhydride (DCPD/MA). The samples prepared by changing PSiO2 /PDCPD/MA, the ratio of RF powers density delivered to the individual target from 0.1 to 10 so as to prepare different SiOx content coatings. The wettability, mechanical properties, color reproduction printability, chemical characterization of the coatings are discussed in this paper, using contact angle measurements, electronic tensile testing machine, off-set printing test and FTIR. The static contact angle of water ranges from 129.7 to 90.7 o and tensile performance has improved significantly as the ratio of RF powers density change from 0.1 to 10. The ink density and depth of color during off-set printing are visually improved by using papers with hydrophobic surfaces coated composite films.
Application of the WNN-Based SCG Optimization Algorithm for Predicting Soft Soil Foundation Engineering Settlement

Settlement prediction in soft soil foundation engineering is a newer technique. Predicting soft soil settling has long been one of the most challenging techniques due to difficulties in soft soil engineering. To overcome these challenges, the wavelet neural network (WNN) is mostly used. So, after assessing its estimate performance, two elements, early parameter selection and system training techniques, are chosen to optimize the traditional WNN difficulties of readily convergence to the local infinitesimal point, low speed, and poor approximation performance. The number of hidden layer nodes is determined using a self-adaptive adjustment technique. The wavelet neural network (WNN) is coupled with the scaled conjugate gradient (SCG) to increase the feasibility and accuracy of the soft fundamental engineering settlement prediction model, and a better wavelet network for the soft ground engineering settlement prediction is suggested in this paper. Furthermore, we have proposed the technique of locating the early parameters based on autocorrelation. The settlement of three types of traditional soft foundation engineering, including metro tunnels, highways, and high-rise building foundations, has been predicted using our proposed model. The findings revealed that the model is superior to the backpropagation neural network and the standard WNN for solving problems of approximation performance. As a result, the model is acceptable for soft foundation engineering settlement prediction and has substantial project referential value.
Socioeconomic Impact of Mining in the Atiwa Forest Reserve of Ghana on Fringe Communities and the Achievement of SDGs: Analysis from the Residents’ Perspective

The Atiwa forest reserve of Ghana sits upon roughly 150 million tons of bauxite. The Government has decided to mine and use the proceeds for national infrastructure development programs. This article examines the impact of mining on the residents’ livelihoods and the achievement of the SDGs from the perspective of the residents. A questionnaire was administered to 197 respondents. Per the findings, the residents around the forest reserve do not consent to the proposed mining project. Although they give credit to its possible job creation opportunities, the irreplaceable nature of the forest reserve urges them not to consent to the initiative. They depend on the rivers and streams for their livelihoods, and the affected districts are also among Ghana’s major cocoa producers. These farmers depend on these water bodies for irrigation. It is necessary to preserve them in order to sustain the production of these cash crops that make a direct contribution to the country’s GDP.
Tuning of sol–gel derived PZT MEMS resonators

This paper demonstrates the tunability of resonant frequencies for MEMS piezoelectric resonators acting in the d33 mode by experiment and theoretical analysis. Thin-film MEMS beams made by sol–gel PZT processing are first fabricated and tested to investigate the tuning capability. The three-layered interdigitated-electrode trapezoidal beams are then modeled by finite element analysis for validation. Beam curl and undercutting are also examined to present an alternative way of finding the stress gradient in comparison to Stoney's formula. The experimental and analytical results indicate that piezoelectric MEMS resonators have the ability to passively tune their resonant frequencies between open-circuit and short-circuit frequencies. Tuning of 0.2–0.6% is demonstrated experimentally, which compares with finite element predictions of 1.02–1.08%. Consideration is given to the reason for the differences in experimental percentages versus those predicted numerically, including the use of bulk PZT values in the ANSYS simulations, the undercut and curling effects of fabrication, and the low percentage of piezoelectric poling in the length direction.
Aperture theory and the equivalence principle

Aperture theory in antenna courses is a topic that is usually dealt with fairly superficially at undergraduate and graduate levels. The paper takes a fresh look at aperture theory and its relationship to the equivalence principle. Some subtleties and possible misconceptions are discussed. Emphasis is placed on the mathematical analysis of the process by which the aperture is short-circuited, and the subsequent interpretation of various approximations to the aperture fields.
From Device Centric to People Centric Ubiquitous computing: Pre-service teachers using technology across spaces

This case study examines how three pre-service teachers in Singapore use different computing devices across different spaces. It provides a snapshot of their ubiquitous computing experiences and sheds light on how their ICT experiences affect their learning and consequently teaching. On closer examination, we found that in general pre-service teachers owned more than one mobile device, and chose which to use according to their needs and situation. The mobile device most often used for work-related purposes, whether as a student or as a trainee teacher, is the laptop. However, the usage of the devices is also limited by the ICT infrastructure of the different locations. The laptop is also sometimes used for leisure activities. The pre-service teachers" perceptions of the various devices and their affordances are also reflected in this paper.