Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic generation of second level space boundary geometry from IFC models

Building Information Modeling aims at the use of digital building data in all planning processes. However, several challenges arise when using BIM data in the IFC ﬁle format to create building simulation models. Complex, detailed or erroneous data and the lack of software interfaces complicate and delay the simulation preprocessing. One way to reduce the simulation expert’s eﬀort is to provide space boundary data, which can be applied in both CFD and BEPS. This paper presents an algorithm for the generation of space boundaries based on the IFC data model. The focus is on model error resistance and simultane-ous support of CFD and BEPS to accelerate simulation preprocessing, avoid redundant geometric model setup, and simplify the simulation result exchange.
A 6.6kW High Power Density Bi-directional EV On-Board Charger Based on SiC MOSFETs

This paper presents a SiC MOSFET-based 6.6 kW bi-directional Electric Vehicle (EV) on-board charger (OBC), with high efficiency and high power density. A digital controlled prototype with a switching frequency of 67kHz for CCM totem pole PFC, and 150kHz-300kHz for a CLLC resonant converter is demonstrated with 54W/in3 power density exceeding 96.5% in peak efficiency. In order to achieve a high power density, all SiC MOSFETs are mounted on a tooled AL heat sink, with all magnetics potted internally. MOSFETs and magnetics meet thermal requirements on a 65°C cooling plate.
4.0. Structure of Odonata populations in the riparian strips of the Bumbu River watershed in Kinshasa /RD

https://doi.org/10.30574/ijsra.2022. 6.1. 0095 Abstract The study of the structure of the Odonata populations was undertaken during the dry season 2021, in the watershed of the Bumbu River. After capture with an entomological net, identification and enumeration, 393 individuals were collected and are divided into 2 suborders and 8 families. Several biotic indices were used to study the structure of the population on the one hand, and its diversity on the other. Raw abundance, relative frequency, taxonomic richness, Shannon and Weaver diversity, Jaccard's similarity index, Piélou's equitability and riparian strip quality index were calculated. The evaluation of the biotic indices in the different stations showed that there is a parallelism between them. The Libellulidae family was the most represented with 161 individuals or 40.9% of the total abundance and 15 species. It is followed by the families Lestidae with 97 individuals and 4 species, Coenagrionidae with 87 individuals and 5 species, , Corduliidae with 23 individuals and 3 species, Gomphidae with 15 individuals and 3 species, Platycnemidae with 9 individuals and 2 species, Chlorocyphidae with 6 individuals and 2 species and Calopterygidae with 1 individual and 1 species. The relative abundance of the species Chalcpstephia flavifros, Ceriagrion corallinum, Lestes virgatus, Lestes ictericus and Lestes tridens can be explained by the aquatic vegetation which serves them as perches and
Control of Electronic Power Converters for Low-Voltage Microgrids

The dissertation focuses on the management of master/slave microgrid architectures, where distributed energy resources (DERs) are interfaced to the grid by means of conventional current-driven power electronics interfaces and the microgrid is interfaced to the mains via a voltage-driven utility interface converter. The so called power-based control is proposed to regulate the contribution to microgrid needs from the energy resources that are available. The control approach ensures an accurate active and reactive power sharing among DERs that takes into account both local (i.e., DER level) and global (i.e., microgrid level) constraints. The described general approach to microgrid control is underpinned by the conservative power theory, which offers a meaningful, robust, and computationally efficient method to manage power quantities referring to different grid nodes.
White paper on Proposed Ground-motion Prediction Equations (GMPEs) for 2015 National Seismic Hazard Maps

This is a set of working notes that describes the proposed GMPEs for use in the 2015 NBCC seismic hazard maps. The notes are “evolutionary” in that an initial proposal was developed, modified through feedback, then further modified to account for review suggestions (from Paul Somerville) regarding preferred ground-motion equations to consider. The main body of the notes describes the initial proposal and how it was re-worked to include epistemic uncertainty. Appendix B describes changes made to the suite and its weights to reflect review comments. The basic concept is that alternative GMPEs and data are used to specify a central, upper and lower representative equation set for each region/event type. The alternative equations express epistemic uncertainty in the correct median equations. Aleatory variability (scatter) is described separately, and is considered common to all models. All GMPEs are for B/C boundary site conditions. The final recommended GMPEs are posted in tabular format at www.seismotoolbox. ca.
Online Public Shaming Detection on Twitter Using Machine Learning Approach and Polarity Predication

: Sarcasm is a refined type of irony, used on social networking sites like Facebook and Twitter and microblogs. Typically, it is employed to impart tacit knowledge in a message. It is typically used to communicate implicit knowledge within an individual's message. For various reasons, such as criticism or satire, sarcasm can be used. But it's hard to remember even for humans. Consequently, it can be very helpful to recognize sarcastic comments in order to automatically increase feelings of data gathered from microblogging websites or social networks. Sentiment Analysis refers to the detection and compilation of Internet users' attitudes and views on a particular topic. In this article, we suggest a model-based method for detecting Twitter sarcasm. We offer four sets of features covering the various sarcasm forms that we have identified. We use tweets to describe sarcastic and non-sarcastic tweets. Our method proposed achieves a precision of 83.1% with a precision of 91.1%. We also investigate the meaning and importance of each of the suggested sets of characteristics. We stress the importance of pattern-based characteristics to identify sarcastic statements in particular.
Using an Analytical Computational-Geometry Library to Model Nonoverlap and Boundary-Distance Constraints and their Application to Packing Poly-Bézier Shapes

In this paper we will show how to model nonoverlap as well as uniform and nonuniform boundary-distance constraints between poly-Bézier shapes using an analytical computational-geometry library. We then use this capability to develop, implement and analyze analytical-optimization solutions to minimum-area rectangular-boundary packing-problems as well as minimum-area one- and two-dimensional puzzle-piece packing-problems. In the process, we will demonstrate the ease and efficiency with which analytical-optimization solutions to complex packing-problems can be formulated, implemented, solved, and analyzed using these models.
CSE145/237D - Final Report on Compressing ResNets for FPGAs

The contents of this report are intended to be inserted or adapted for the SkipTrim paper. We have implemented the Skipper algorithm as described by the aforementioned paper in Keras, and have collected data demonstrating that the Keras implementation is no better than regular training for smaller networks. We have also collected validation accuracy data using knowledge distillation as an additional point of comparison, and identified that is no discernible difference for smaller networks between knowledge distillation and Skipper. However, Skipper performs better than knowledge distillation for ResNet56.
A RANGE-WIDE META-ANALYSIS OF WILD TURKEY NESTING PHENOLOGY AND SPRING SEASON OPENING DATES

: Timing of nesting is an important consideration when setting opening dates for spring male-only wild turkey ( Meleagris gallopavo ) hunts. We conducted a meta-analysis in which we used mean dates of incubation initiation from 58 studies to evaluate a priori models hypothesized to predict turkey nesting phenology across the species’ range. Models were based on geographic setting, climate, and management activities, and had weak to moderate explanatory power (Range R 2adj (cid:2) 0.12–0.55). We developed 2 post hoc models to better predict mean incubation date, and used one of these to generate a range-wide map predicting timing of nest incubation. A second model selection exercise focused solely on the eastern subspecies of wild turkey, and our best model of incubation date included population status and a cubic term for latitude ( n (cid:2) 41, R 2adj (cid:2) 0.80). Lastly, we compared incubation initiation dates to opening dates for spring male-only hunting in each jurisdiction. Of 34 states and provinces for which we obtained data, 25 opened spring hunting (cid:3) 2 weeks prior to the mean date of incubation initiation, and 18 of these also allowed fall either-sex hunting. This ﬁnding is noteworthy because extended fall seasons and spring hunting during the pre-nesting period can lead to additive and unsustainable levels of female kill.
Impact of Global Brand CMOs’ CSR and Socio-Political Activism Communication on Twitter

This research studies two global trends that have rarely been studied together, especially from the perspective of marketing leaders – Chief Marketing Officers (CMOs): Brands’ engagement in sociopolitical practices (Corporate Social Responsibility [CSR] and socio-political activism) and the digitization trend. This poses the following research questions: (1) How central are CSR or socio-political activism in the communication of global brands’ CMOs? (2) Does CMOs’ communication about CSR or socio-political activism have digital impact? And (3) how brand origin i.e., the geographical location of its headquarter (HQ) and CMO nationality (US vs. non-US i.e., international, for both variables) influence the CSR or socio-political activism communication effectiveness? This research (N tweets = 18,038) finds that CMOs rarely publish CSR or socio-political activism tweets (3.1% and 3.2%). While CSR tweets have a positive impact on re-tweets (with no significant impact on likes), socio-political activism tweets impact both retweets and likes negatively. Non-US HQ and CMO nationality improve these effects.
THE ANTAGONISTIC EFFECT OF AtCCR4a UPON DROUGHT OR HEAT STRESS CONDITIONS

The Antagonistic Effect of AtCCR4a Upon Drought or Heat Stress Conditions Climate changes are expected to increase the severity of environmental adversities to plants, such as changes in rainfall regimes and the occurrence of more extreme temperatures, imposing a major risk to the productivity of agricultural crops. Throughout evolution, plants have evolved elegant mechanisms to cope with different adverse conditions, through the activation of different signaling pathways. The occurrence of abiotic stresses, such as osmotic stress or endoplasmic reticulum stress, tend to activate specific cellular pathways, such as the death cell signaling pathway mediated by proteins that contain DCD/NRP domains. The AtNRP1 and AtNRP2 proteins, components of the pathway in Arabidopsis, have been characterized as effectors of the programmed cell death process by the breakdown of the vacuolar membrane. Understanding how this pathway is integrated into cellular stability is essential, which justifies checking the predicted and not yet functionally characterized interactions among the components of the pathway with other proteins, such as AtCCR4a, a deadenylase that is both active in mRNA processing and in sucrose/starch metabolism. Given this context, we aimed to investigate the interaction between AtNRP2 and AtCCR4a, and its role during heat and drought stresses. We did not observe its direct involvement in the NRP-signaling pathway, however AtCCR4a was induced by osmotic and heat stresses. Furthermore, AtCCR4a disruption provides a drastically heat stress-sensitive phenotype, leading to reductions in photosynthetic pigment contents days after exposure to stress and negative changes in carbohydrate metabolism during this condition. Surprisingly, AtCCR4a disruption also promotes a more tolerant phenotype to water deficit, contributing to greater maintenance of relative water contents in leaf tissues and plant survival rate. These results indicate that AtCCR4a may have an antagonistic function in stress-responsive pathways, probably by regulating at a post-transcriptional level the expression of certain genes and/or by selecting specific target mRNAs.
prevalence and associated

Introduction: Several strategies focused on providing healthcare to premature children have been implemented. Among them, one finds breastfeeding. Objective: Investigating the prevalence of, and factors associated with, lack of premature newborn breastfeeding at hospital discharge . Methods: Cross-sectional study conducted with puerperal women and their preterm newborns in the public health network of Maceió, Brazil. Maternal information was obtained socioeconomic, obstetric, prenatal, and anthropometric data, through questionnaire application, whereas information about newborns was collected in their medical records (gestational age at birth, sex, delivery method (vaginal birth or cesarean section), weight, and length at birth, and Apgar scores in the 1st and 5th minute of life), as well as information about the practice of breastfeeding at hospital discharge time. Poisson regression analysis in a hierarchical model was carried out to identify factors associated with the outcome of interest. Results were expressed in Prevalence Ratio (PR) and respective 95% Confidence Intervals (95%CI). Results: 381 dyads were evaluated, 167 (43.8%) of them were not breastfeeding at hospital discharge time. Clinical complications observed in newborns (PR=2.20 95%CI 1.73-2.80), late postpartum contact between mother and child (PR=1.76 95%CI 1.34-2.31), low Apgar in the 1st minute of life (PR=1.44 95%CI 1.15-1.82), and small premature newborn (gestational age at birth <34 weeks) (PR=1.48 95%CI 1.18-1.84) were the factors associated with lack of breastfeeding. Conclusion: Lack of premature newborn breastfeeding at hospital discharge time was often observed in the current study and associated with birth-relevant factors.
Classification of WBC dataset using supervised learning techniques

Many women of mid-age suffer with breast cancer. Study says, this disease is the major reason behind the mortality. Since this became a main issue, lot of researches were done in identifying the cause of this. If a woman can predict the possibility of this disease based on her other characteristics, she can be vigilant and can treat early. The identification of malignancy of this disease is the need of the hour. This can be achieved by using classification and prediction algorithms. This paper implements different machine learning techniques for this aim and analyses efficiency of those algorithms. The analysis was made based on Wisconsin breast cancer dataset (WBCD).
SLIDING MODE FAULT TOLERANT CONTROL OF QUADROTOR UAV WITH STATE CONSTRAINTS UNDER ACTUATOR FAULT

Actuator faults and state constraints are the main factors that degrade the performance of quadrotor unmanned aerial vehicle (UAV). In this paper, a robust nonlinear active fault tolerant control algorithm based on nonsingular fast terminal sliding mode control (NFTSMC) and asymmetric barrier Lyapunov function is designed for a quadrotor UAV system with actuator fault and unknown external disturbance while specif-ically considering state constraints. Firstly, since the uncertainty of fault magnitudes, an adaptive estimator is applied to estimating the severity of actuator faults. Then, a novel NFTSMC is proposed. In virtue of the proposed method, the system can not only own strong robustness but also reach the original value in a short ﬁnite-time. In ad-dition, aiming at the phenomenon of state constraints in the actual ﬂight of quadrotor aircraft, the asymmetric barrier Lyapunov function (BLF) is introduced to guarantee the constraints not to be violated. Finally, the eﬀectiveness and superiority of the proposed control scheme are veriﬁed by contrast simulation and comparison experiments.
Measurement of the responses of cloud-based game streaming to network congestion

Cloud-based game streaming has emerged as a viable way to play games anywhere with a good network connection. While previous research has studied the network turbulence of game streaming traffic, there is as of yet no work exploring how cloud-based game streaming responds to rival connections on a congested network. This paper presents experiments measuring and comparing the network response for three popular commercial streaming services - Google Stadia, NVidia GeForce Now, and Amazon Luna - competing with TCP flows on a congested network. Analysis of the bitrates, loss and latency show that the three systems have different adaptations to network congestion and vary in their fairness to competing TCP flows sharing a bottleneck link.
A Study on Design and Optimization methods in Latch Type Comparator

The current state-of-the-art communication systems require analog-to-digital converters (ADCs) to sample the analog signals in digital representation at high speed and low power consumption with very high accuracy. Performance demand for ADCs directly promote the advancement of their basic component - the comparator. The traditional Strong-Arm dynamic comparator has been widely accepted for its fast decision, but it is limited by its significant voltage headroom and kickback noise. The double-tail latched dynamic comparator mitigates the aforementioned problems by allowing separate stages for the pre-amplifier and the latch so that it can have near- operation. However, energy consumption and propagation delay are still problems to be solved. In this article, we present a review of the recent improvements for the dynamic comparator architecture. The advantages and disadvantages of these techniques are also illustrated with simulation and measurement results.
Procedural generation of underground systems with terrain features using schematic maps and L-systems

This article describes an algorithm for procedural generation of underground systems with terrain features, by processing set of schematic maps. L-system and cellular automata are used to generate final system shapes. Most of existing algorithms are not suitable for application in computer games, since they usually lack any considerable level of control, require large amount of computation or produce overly complex meshes. We present our solution, that can produce editable 3D objects from very simple input, with high level of control over final system layout. We also allow evaluation at every key step of generation process. Presented approach incorporates placement of various terrain features with stalactites, stalagmites and columns as an example of such elements. Obtained results can be used in computer games or similar applications.
Linked Data Fusion Based on Similarity Calculation and K-Nearest Neighbor

The development of semantic web technology supports the continuous development of linked data and its applications. In order to make effective use of the growing linked data on the web, multi-source data should be fused, which is a key step in multi-source large-scale data analysis and management. Currently, merging these data can be difficult, because various sources usually provide multiple conflict descriptions for entities in the same real world. To complete the fusion, we need to solve the problem of object conflict. This paper proposes a linked data fusion method based on similarity calculation and k-nearest neighbor. This method has two contributions. Firstly, a similarity calculation method of linked data is proposed, which can effectively integrate URI nodes and blank nodes in linked data; Secondly, a literal type node fusion strategy based on k-nearest neighbor classification method is proposed, which realizes the automation of fusion and has the independence of data source. The results show that compared with other methods, this method can improve the conciseness and consistency and precision by up to 12.9%, 30.6% and 12%.
Performance analysis of congestion control protocols over 5G mmWave links

Millimeter wave technology is an important basic technology in 5G applications. It has higher bandwidth and lower delay. But high dynamics of the channel poses a major challenge to the design of congestion control protocols. Based on ns3, this paper conducts extensive experiments on the TCP congestion control protocols, and analyzes the transmission performance of different protocols over 5G millimeter wave links in detail. It will lay a foundation for further research on congestion control protocols suitable for 5G millimeter wave communications.
A comparative research of innovative comparators

This paper studies four novel design comparators and gives a detailed analysis and summary of them. edge-pursuit comparator (EPC) improved energy efficiency and noise over conventional comparators by a circuit loop consisting of numbers of delay units. The triple-tail fully dynamic comparator minimizes the comparator’s total delay time and enhances the sample rate. The dynamic bias architecture of the double-tail latch-type comparator can provide a relatively high voltage gain while ensuring a low power consumption by stabilizing the static operating point. It also has advantages over conventional comparators in noise and delay. A triple-latch feedforward (TLFF) comparator improves on the triple-tail fully dynamic comparator. The triple-latch feedforward (TLFF) dynamic comparator consists of three-stage latches and a parallel feedforward path. It has a smaller delay time than other circuit designs, especially for large differential input signals.
Design of Memristor-based XOR Logic Gate and Half Adder

The non-volatile logic unit based on memristor can build a computing architecture which integrates processor and memory. A novel XOR logic gate as well as half adder with four memristors, one NMOS and one power excitation is proposed in this study. The constraints on the NMOS and power excitation are also presented. The effectiveness of the XOR logic gate proposed is confirmed by the simulation results of LTSPICE. Compared with several prior schemes, the design has better performance in terms of power consumption, operation steps and architecture complexity.
Innovative gussasphalt for noise reduction

The initial research focus to reduce traffic noise in Germany had been placed on porous asphalt and was subsequently switched to dense pavements. An innovative approach to optimise these surfaces is the so called Porous Mastic Asphalt (PMA). The basic idea behind this construction method is the forming of a dense bottom zone of the surface layer, i.e. similar to Gussasphalt (mastic asphalt), whereas the upper smaller zone of the layer has a porous structure with good acoustic properties. First test sections on motorways and some bridges were carried out in combined research activities of the state road administration, research facilities and industry. An in depth investigation was carried out in the interdisciplinary research project “Quiet Road Traffic 3” which included the optimisation of the mix design and visualisation of the homogeneity with the help of X-Ray computer tomography. The measurement of the skid resistance and acoustic emission were further points of interest. The analysis of the data indicates that the concept is very promising, but a few problems have to be solved. This includes the procedures in the laboratory and how to control precisely the different zones of the layer (dense on the bottom, porous on top).