Miracle-dz/UniFAR-FTUs huggingface dataset:
Power quality improvement of solar photovoltaic transformer-less grid-connected system with maximum power point tracking control

This paper presents a transformer-less single-stage grid-connected solar photovoltaic (PV) system with active reactive power control. In the absence of active input power, grid-tied voltage source converter (VSC) is operated in the reactive power generation mode, which powers control circuitry and maintains regulated DC voltage. Control scheme has been implemented so that the grid-connected converter continuously serves local load. A data-based maximum power point tracking (MPPT) has been implemented at maximum power which performs power quality control by reducing total harmonic distortion (THD) in grid-injected current under varying environmental conditions. Standards (IEEE-519/1547) stipulates that current with THD greater than 5% cannot be injected into the grid by any distributed generation (DG) source. MPPT tracks actual variable DC link voltage while deriving maximum power from PV array and maintains DC link voltage constant by changing the converter modulation index. Simulation results with the PV model and MPPT technique validations demonstrate effectiveness of the proposed system.
Practices, barriers and benefits of risk management process in building services cost estimation

The preparation of cost estimates for construction projects is not an easy job, because construction projects are subject to risks and uncertainties, particularly at the inception stage, when very limited information about the project is available. However, the cost estimates prepared at this stage are usually the most important to the client. Nowadays, the costs for building services installations contribute a significant share of the total construction cost of building projects. Thus the accuracy of the building services cost estimates plays an important role in the total building construction project cost estimates. Traditionally, building services cost estimates are prepared by a deterministic single-figure (most likely) approach. This approach is often cost-ineffective and reactionary in nature. The risk management process (RMP) provides a logical consistent framework in identifying the risk factors affecting costs and in making allowances for risks in cost estimation. A survey was conducted to find out the current building services cost estimation practices and to obtain an insight into the understanding, use and application of RMP in preparing building services cost estimates within the building services industry. The results of the survey have suggested that the traditional deterministic cost estimation method is still being adopted by the majority of building services engineers in preparing cost estimates. Also, RMP has not been widely adopted by the building services industry in Hong Kong. From the analysis of building services firms and engineers with regard to the critical success factors for implementation of risk management, the survey reflects that the potential of implementing RMP for building services cost estimation is high.
The Role of Fiction in Experiments within Design, Art & Architecture

This paper offers a typology for understanding design fiction as a new approach in design research. The typology allows design researchers to explain design fictions according to 5 criteria: (1) “What if scenarios” as the basic construal principle of design fiction; (2) the manifestation of critique; (3) design aims; (4) materializations and forms; and (5) the aesthetic of design fictions. The typology is premised on the idea that fiction may integrate with reality in many different ways in design experiments. The explanatory power of the typology is exemplified through the analyses of 6 case projects.
Domino CMOS SCD/SFS 2-out-of-3 and 1-out-of-3 code checkers

In this paper we present new strongly code-disjoint (SCD) and strongly fault-secure (SFS) checkers for the 2-out-of-3 and1-out-of-3 codes. They are implementedin Domino CMOS logic andtake into account a comprehensive fault model consisting of stuck-at, transistor stuck-open andtransistor stuck-on faults. The proposedcheckers are the first known SCD/SFS 2-out-of-3 and 1-out-of-3 code checkers in the open literature that consider the above fault model without suffering from static power consumption.
Analyzing and Mitigating the Near-field Radiations from PCB of GPS-based Vehicle Tracking System

Abstract The EMI/electromagnetic compatibility (EMC) analysis is becoming very important in today’s world of dense EMI environment. As we go toward accuracy and stability of any electronic product in dense EMI field, it is necessary to test it at printed circuit board (PCB) level. This paper describes the measurement technique of scanning of PCB using EMC Precision Scan Tool. The result of near-field measurement indicates the intensity of radiation of each component on PCB. This study is proposed to estimate the radiation field at component level. The near-field based techniques have been widely used in EMC studies because of the high accuracy and reliability. With appropriate model extraction and simulation tools, near-field scanning can be used to predict electromagnetic emissions. With proper shielding, the near-field radiations can be reduced. The near-field radiations can be used to predict far-field radiations from the system, before practically testing in EMI/EMC Laboratory or getting installed at end-user applications. Two models for global positioning system (GPS)-based vehicle tracking system used in research work have been proposed in this article. One is GPRS based and the other is SMS based, intended to be used in stringent environment and ground-based army vehicle. The near-field radiations have been taken at PCB level in dB ¼V for a range of 100 kHz-2.5 GHz frequency band. Maximum radiations of around 90–130 dB ¼V were found. The paper proposes Mu-metal and HE-30 shielding materials for mitigating low- and high-frequency radiations. The GPS VTS GPRS based board and GPS VTS SMS Tx board with HE-30 enclosures had been tested in national EMI Test Laboratory, Automotive Research Association of India (ARAI), for the frequency bands 100 KHz-2.5 GHz. The results had been compared with MIL-461E EMI/EMC standard, and had been found to be satisfactory. The low-frequency radiation level was found to be just within the acceptable limits as per the standard.
Research on the Piezoresistive Properties of Conductive Silicone Rubber under Water Pressure

The conductive silicon rubber samples have been prepared in different filler ingredients, the platform is builded for testing the piezoresistive characteristics of conductive silicon rubber when the material is under water pressure and the test methods are designed, the body piezoresistive properties and surface piezoresistive properties under the water pressure within a certain range are studied respectively. The results show that, the sample of 6% acetylene black/2% nanoSiO2 blends exhibit the best piezoresistive performance when the samples are under water pressure, the piezoresistive properties of the material can be improved with the increase of the thickness of the materials (2mm-4mm), and the conductive silicon rubber used for the pressure-sensitive materials of piezoresistive gauge is feasible.
Tailless Aircraft Control Allocation.

Abstract : This paper presents a flight controller for a tail-less aircraft with a large suite of conventional and unconventional control effectors. The controller structure is modular to take advantages of individual technologies from the areas of plant parameter estimation, control allocation, and robust feedback control. Linear models generated off-line provide plant parameter estimates for control. Dynamic inversion control provides direct satisfaction of flying qualities requirements in the presence of uncertainties. The focus of this paper, however, is control allocation. Control allocation is posed as constrained parameter optimization to minimize an objective that is a function of the control surface deflections. The control law is decomposed into a sequence of prioritized partitions, and additional optimization variables scale the control partitions to provide optimal command limiting which prevent actuator saturation. Analysis shows that appropriate prioritization of dynamic inversion control laws provides graceful command and loop response degradation for unachievable commands. Preliminary simulation results show that command variable response remains decoupled for unachievable commands while other command limiting methods may result in unacceptable coupled response.
EPIC and APEX: Model Use, Calibration, and Validation

The Environmental Policy Integrated Climate (EPIC) and Agricultural Policy/Environmental eXtender (APEX) models have been developed to assess a wide variety of agricultural water resource, water quality, and other environmental problems. The EPIC model is designed to be applied at the field scale. APEX is a direct extension of EPIC that can also be applied to fields as well as to more complex multi-subarea landscapes, whole farms, and watersheds. This article describes key model components of EPIC and APEX, including different options for simulating surface runoff, evapotranspiration, soil erosion, and other processes. Field-scale calibration and validation procedures are then described for both models, with an emphasis on important calibration parameters and guidance regarding logical sequences of calibration steps. Additional calibration and validation guidance is further provided for applications of APEX at the landscape and watershed scales. Two calibration and validation case studies are presented: one for an EPIC plot study and one for an APEX study of a 35 ha field in north-central Missouri. Research and development needs for both models are also discussed.
Science communication distribution services in astronomy and planetary sciences outreach

In this paper I will present some of the first efforts to use virtual observatory methods and modern distribution services to enable access to science communication products, and how the use of new approaches, such as Web 2.0 can help to achieve the principal communication objectives more effectively. One notable example will be the upcoming Europlanet Integrated and Distributed Information Service (IDIS) which will offer common and user-friendly access to the data and information (including outreach products) produced by the various types of activities to the European planetary science community.
Dynamic Nonlinear Aeroelastic Analysis of The Joined Wing Conguration

The unsteady vortex lattice method (UVLM) is coupled via OpenFSI with MD Nastran’s dynamic nonlinear structural solver to study the aeroelastic response of the joined wing conguration in a subsonic regime. Initially, a number of static nonlinear structural analyses are performed on the nonlinear beam model to investigate the nonlinearities associated with the structure. The primary reason for the investigation of the structural nonlinearities is to make intelligible the aeroelastic response of the structure. After a successful validation of UVLM.OpenFSI, a panel based aerodynamic model is splined with the structural model for accurate transfer of forces and displacements at every time step via OpenFSI. A new boundary value problem is solved for the modied aerodynamic model at every time step. Evolution of the wake and its aerodynamic eects are well accounted for.
TRƯỜNG ĐẠI HỌC SƯ PHẠM TP HỒ CHÍ MINH

Historical novel from a composing method perspective Composing method is one of the important issues in literary theory and aesthetics of modern times. Clearyly identifying the composing method allows the writer to identify the ideal quality of aesthetic society, exploiting the deep perception of authors and readers in a specific literary phenomenon. This article investigates the composing method in historical novels in order to provide a more comprehensive view of this type of novels.
An electromagnetic model for transients in grounding systems

The development and application of a computer model for analyzing the transient performance of grounding systems based on electromagnetic field theory is described. The use of a combination of numerical integration techniques, method of moments, adaptive interpolation, and fast Fourier transform constitutes the basis for the computation of various physical quantities such as the electric fields in the ground, longitudinal and leakage currents in the ground conductors, and ground impedances. It is shown that the analysis of conductors energized by current waves can require computations at frequencies higher than the significant frequencies in the spectrum of the excitation signal, while simpler models may fail to predict accurately the transient performance. The main limitation of the computer model is the time required for the analysis of large or complex grounding systems. >
Guide to pavement technology: part 5: pavement evaluation and treatment design

Knowledge of pavement technology is of critical importance for all transport agencies in Australia and New Zealand. Austroads and others (e.g. state road authorities, local government, and industry) have amassed a great deal of knowledge on pavement technologies, techniques, and considerations. The purpose of the Austroads Guide to Pavement Technology is to assemble this knowledge into a single authoritative publication that is a readily available, accessible and comprehensive resource for practitioners in Australia and New Zealand. This part provides advice for the investigation of existing sealed road pavements and the selection and design of pavement strategies/treatments. The advice has been generally developed from the approaches followed by Austroads member authorities. However, as it encompasses the wide range of materials and conditions found in Australia and New Zealand, some parts are broadly based. Treatment selection is related to availability of materials and knowledge of their performance in any particular locality. Part 5 covers pavement investigation, testing and evaluation, identification of causes and modes of distress and description of treatment options.
On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons

We consider the classical problem of ﬁnding the minimum feedback arc set on tournaments (MFAST). The problem is NP-hard in general and we study it for important classes of tournaments that arise naturally in the problem of learning to rank from pairwise comparisons. Speciﬁcally, we consider tournaments classes that arise out of parametric preference matrices that can lead to cyclic preference relations. We investigate their structural properties via forbidden sub tournament conﬁgurations. Towards this, we introduce Tournament Dimension - a combinatorial parameter that characterizes the size of a forbidden conﬁguration for rank r tournament classes i.e., classes that arise out of pairwise preference matrices which lead to rank r skew-symmetric matrices under a suitable link function. Our main result is a polynomial-time algorithm - Rank2Rank - that solves the MFAST problem for the rank 2 tournament class. This is achieved via a geometric characterization that relies on our explicit construction of a forbidden conﬁguration for this class. Building on our understanding of the rank-2 tournament class, we propose a very general and ﬂexible parametric pairwise preference model called the local-global model which subsumes the popular Bradley-Terry-Luce/Thurstone classes to capture locally cyclic as well as globally acyclic preference relations. We develop a polynomial-time algorithm - BlockRank2Rank - to solve the MFAST problem on the associated Block-Rank 2 tournament class. As an application, we study the problem of learning to rank from pairwise comparisons under the proposed local-global preference model. Exploiting our structural characterization, we propose PairwiseBlockRank - a pairwise ranking algorithm for this class. We show sample complexity bounds of PairwiseBlockRank to learn a good ranking under the proposed model. Finally, we conduct experiments on synthetic and real-world datasets to show the efﬁcacy of the proposed algorithm.
Modelling the impact of micro-combined heat and power generators on electricity distribution networks

This paper investigates potential technical effects that a high take up of domestic micro-CHP could have on an electricity distribution system. This study is based on a combination of house-by-house energy use modelling and network power-flow analysis. A variety of micro-CHP technologies are represented, including Stirling engines, internal combustion engines, and fuel cells. These have different heat-to-power ratios and thus different impacts on the electricity system. The results and discussion focus on voltage rise, which is considered to be the primary constraint on allowable penetration.
Antibacterial Activity of Bacteriocin of Bifidobacterium longum against Salmonella typhimurium

Salmonella typhimurium is a food-borne pathogen that causes gastroenteritis. Until now, antibiotics have been used to treat gastroenteritis. Nowadays, some antibiotics have become resistant to a variety of pathogens. Therefore, alternative treatments based on natural ingredients need to be explored. Lactic acid bacteria, or so-called probiotics, that are naturally found in human digestion have been studied for their antibacterial properties, such as bacteriocins. The purpose of this study is to see if bacteriocin from Bifidobacterium longum FNCC 0210 has any inhibitory activity against Salmonella typhimurium ATCC 14028 in vitro. Bacteriocin was extracted from B. longum as cell-free culture supernatant (CFCS) in MRS broth, which was neutralized at pH 6.5 with 1 N NaOH and heated at 100°C for 10 minutes. The antibacterial assay of B. longum bacteriocin against S. typhimurium was performed with the agar-well diffusion method with concentrations of 100, 50, 25, 12.5, 6.25% (v/v), and determined based on the diameter of the zone of inhibition (mm). The results of the tests revealed that B. longum CFCS 100% (v/v) had the highest antibacterial activity against S. typhimurium with intermediate category. This study provides information on the ability of B. longum bacteriocin that has antibacterial activity against food-borne pathogens.
INVESTIGATION OF LONG-TERM EFFECTS OF AIR POLLUTANT PARAMETERS ON AIR QUALİTY INDEX: A CASE STUDY FOR ÇERKEZKÖY ORGANIZED INDUSTRIAL ZONE

Air pollution is one of the most important public health factors on a global scale. For this reason, the parameters to be monitored in order to determine the air quality have been determined as a result of national and international evaluations. Air pollution levels are determined according to the measurement results of nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), carbon monoxide (CO) and particulate matter (PM10). Today, most of people continues their lives in cities. The negative effects of air pollution in densely populated areas cause various health problems in the short and long term. In addition to human activities such as transportation, heating and industryinduced air pollution, naturally sourced air pollution such as volcanoes, dust transport and forest fires occurs. In order to prevent the formation of air pollution at the city scale, it is necessary to monitor the air pollution with measurements and to develop the necessary preventive policies based on the results. The Air Quality Index (AQI), which is used to monitor the concentrations of air pollutants, is an important indicator of air quality. In this study, it is aimed to examine the temporal change of the effects of air pollutants on the air quality index in an industrial area. Çerkezköy region, which has intensive industrial activities, was selected as the study area and the 4 years air quality index change was examined. In addition, in 2020, the effects of the restrictions caused by the COVID-19 pandemic on AQI were investigated. In the light of the findings; Between the years 2016-2020, it is seen that the AQI values are mainly at medium and good levels. In addition, it was observed that the AQI values were at a better level in 2019 and 2020 compared to 2016 and 2017.
GMD-2021-188 Title : Evaluation of the COSMO model ( v 5 . 1 ) in polarimetric radar space – Impact of uncertainties in model microphysics , retrievals , and forward operator

This paper presents an evaluation of the COSMO model for a stratiform precipitation event over Germany. The evaluation is performed using a polarimetric radar network and rain gauges. On the one hand, the evaluation is done using a model-to-observations approach, retrieving synthetic polarimetric signatures from the model with the Bonn Polarimetric Radar Forward Operator. This is complemented by an observations-to-model approach, retrieving synthetic model fields from the observations using several Hydrometeor Classification Algorithms.
Optimistic locating method of transformer voiceprint based on beam and delay algorithm

In view of the on-line inspection mode of transformer voiceprint information during operation, an optimistic location method is proposed to assist the acoustic print diagnosis for fault identification, location and further evaluation work. Firstly, according to the directional location algorithm of antenna array (Beamforming), traditional directional location is extended to general spatial location. Then on the basis of TDOA(Time Difference Of Arrival) algorithm of time domain signal characteristic analysis, integrated weighted processing and data centralization, on the one hand, reduce the edge value, on the other hand, correct the trend of bad data, and improve the existing cross-correlation operation. The simulation results show that the optimized beam-based and weighted TDOA algorithm has excellent performance in 2D localization of transformer voiceprint. These research results can provide a basis for transformer online monitoring and voice print diagnosis.
Research on Density-Based K-means Clustering Algorithm

Cluster analysis is an unsupervised learning process, and its most classic algorithm K-means has the advantages of simple principle and easy implementation. In view of the K-means algorithm’s shortcoming, where is arbitrary processing of clusters k value, initial cluster center and outlier points. This paper discusses the improvement of traditional K-means algorithm and puts forward an improved algorithm with density clustering algorithm. First, it describes the basic principles and process of the K-means algorithm and the DBSCAN algorithm. Then summarizes improvement methods with the three aspects and their advantages and disadvantages, at the same time proposes a new density-based K-means improved algorithm. Finally, it prospects the development direction and trend of the density-based K-means clustering algorithm.
Characteristics changes of Pasuruan locally grown brown sorghum grain due to extrusion process

Commercial extruded snacks available in the Indonesian market are generally cereal-based, such as from corn and rice, and there is not any that is from brown sorghum. This research aims to study changes in physical and chemical characteristics of brown sorghum grains after extrusion and compare the extrudate characteristics of products from brown sorghum grains, corn, and rice. Brown sorghum grains are de-husked, ground into grits, and extruded using a single screw extruder at 120°C. The resulting extrudates are then analyzed and compared to rice and corn extrudates. There is a change in chemical content after the sorghum grains are extruded. The content of moisture, fat, starch, and protein decreased, while the content of reducing sugar, ash, and fiber increased. The content of anti-nutritional compounds such as tannins, phytates, kafirin, and disulfide bonds decreased; so that the digestibility value increased from 48.44% (grains) to 75.67% (extrudates). Compared with extrudates from rice and corn, sorghum seed extrudate has the smallest expansion ratio, higher density, darker color, but still has a similar quality in texture.