Miracle-dz/UniFAR-FTUs huggingface dataset:
Algorithm for fault detection and localisation in a mesh‐type bipolar DC microgrid network

This study proposes a new method to detect and locate the fault in a DC distribution system in the presence of distributed generators. As the mesh-type network provides good continuity of service during faults and the bipolar system transmits high power at low-voltage level to the end user, the proposed scheme has utilised 1200 V mesh-type bipolar DC microgrid network. The proposed scheme detects a fault by comparing the calculated value of fault current and pole-to-pole voltage with the pre-defined threshold values and then distinguishes internal or external fault based on an estimation of line parameters. In case of an internal fault, the estimated parameters yield the exact location of the fault. The modelling of the aforementioned DC microgrid network has been carried out in PSCAD/EMTDC environment and various faults involving pole and ground have been performed with variable fault resistance and location. The simulation results clearly indicate that the proposed technique is not only capable to detect the fault rapidly but also able to disconnect the faulty section speedily (around 1.25 ms). As the proposed method detects fault by utilising local voltages and currents, its reliability is better than the previous algorithms.
Monitoramento de ambientes e controle de frequência acadêmica através de visão computacional

Com a evolucao da velocidade dos computadores e da melhoria das tecnicas para algoritmos, uma quebra do paradigma intrusivo para o nao intrusivo torna-se viavel. Um usuario nao precisa necessariamente trocar seu meio para usar a computacao, ela pode ser inserida nos locais, tornado-se algo mais natural e nao intrusivo. O reconhecimento de padroes a partir de imagens digitais e uma tarefa que essa evolucao permite realizar. Esse reconhecimento e estudado pela area da computacao conhecida como visao computacional. O reconhecimento facial e um dos reconhecimentos de padroes que foi realizado. Esse possibilita um monitoramento de ambientes, realizando assim tarefas como o controle de frequencia academica. O objetivo desse trabalho e a construcao de uma aplicacao que realize o controle de frequencia automatizado para ambientes monitorados com uma câmera comum. O trabalho apresenta a construcao de uma aplicacao que utiliza uma câmera conectada a um computador para capturar uma sequencia de imagens digitais. A partir dessas faz-se a deteccao de rostos, e para todos os rostos na imagem aplica-se um algoritmo de reconhecimento facial. O resultado desse reconhecimento e salvo em um log, que realiza o controle automatizado de frequencia de um determinado ambiente, conforme os padroes estipulados para esse. O trabalho apresenta comparacoes e testes da aplicacao, mostrando o tempo de reconhecimento e o impacto que esse sofre com diversos fatores, como iluminacao heterogenea durante o treinamento do reconhecedor.
Estimate the Two Parameters of Gamma Distribution Under Entropy Loss Function

In this paper, Bayes estimators for the shape and scale parameters of Gamma distribution under the Entropy loss function have been obtained, assuming Gamma and Exponential priors for the shape and scale parameters respectively. Moment, Maximum likelihood estimators and Lindley�s approximation have been used effectively in Bayesian estimation. Based on Monte Carlo simulation method, those estimators are compared depending on the mean squared errors (MSE�s). The results show that, the performance of the Bayes estimator under Entropy loss function is better than other estimates in all cases.
Support Vector Machine-Based Islanding and Grid Fault Detection in Active Distribution Networks

Many techniques used and still in usage for solving the problem of islanding detection are intrinsically passive, active, or hybrid of both. Each one of them has its own benefits and drawbacks. In this paper, we propose a method, which takes the advantage of a machine learning (ML)-based algorithm, namely, support vector machine (SVM), in order to produce the results more efficiently. The results of the simulations based on the model and experimentally measured parameters of a real-life practical photovoltaic (PV) plant give much better output than the traditional reported methods. During the tests and simulations, an additional problem, namely, grid fault, emerged, posing new challenges for the proposed method. Occurrences of islanding and grid fault are grouped together with the same kernel dimension and no custom hyperplane bordering. Discrimination between islanding and grid fault events is an essential dilemma, which is handled by the proposed SVM-based algorithm to achieve more precision in islanding detection and simultaneously detect the grid faults authentically. Nondetection zones (NDZs) and detection time (DT) are tested using two dimensions, namely, the generated active energy from PV plant (0%–110% of $P_{n}$ ) and distribution network voltage levels (±10% of $U_{n}$ ). Simulations based on the model and parameters of a real-life practical PV power plant are performed in MATLAB/Simulink environment, and several tests are executed for several scenarios. Finally, comparisons with previously reported techniques prove the effectiveness, authenticity, selectivity, accuracy, and precision of the proposed islanding and grid fault detection strategy with allowable impact on power quality according to UL1741 and its superiority over other methods.
Absorption, Translocation, and Exudation of Glyphosate, Fosamine, and Amitrole in Field Horsetail (Equisetum arvense)

The absorption, translocation, and exudation of 14C-glyphosate [N-(phosphonomethyl) glycine], 14C-fosamine [ethyl hydrogen (aminocarbonyl)phosphonate] and 14C-amitrole (3-amino-s-triazole) in field horsetail (Equisetum arvense L.) were examined in glasshouse experiments. Amitrole was absorbed much more readily than either fosamine or glyphosate, and although the initial translocation of amitrole was faster, eventually more 14C was recovered from the underground parts of plants treated with 14C-glyphosate and fosamine. Radioactivity from all three compounds was translocated to areas of meristematic activity such as shoot and rhizome apices and rhizome nodes. The amounts of radioactivity recovered from the roots and rhizomes were small in relation to the amounts applied. Root exudation and guttation could account for some loss of herbicide from the plant. Radioactivity from 14C-amitrole, in particular, was present in relatively large amounts in guttation fluid.
Improved power quality charging scheme for heavy‐duty vehicle battery swapping stations

This study, presents a generalised multi-pulse converter (MPC)-based improved power quality charging scheme for heavy-duty vehicle battery swapping stations. The proposed control is a generalised control, which is used to develop an MPC-based charging scheme for any pulse number such as 2-pulse, 6-pulse, 12-pulse, 18-pulse and 24-pulse charging schemes for heavy-duty vehicle battery swapping stations. The 2-pulse, 6-pulse and 12-pulse charging schemes are implemented in the laboratory using proposed generalised control. This proposed scheme operates on fundamental switching frequency, therefore, it significantly reduces the switching losses, electromagnetic interference, radio frequency interference levels in heavy-duty vehicle battery swapping stations. Moreover, the sliding mode controller has been introduced in the current control loop of the proposed battery charger which removes all the possibilities of the occurring of undershoot and overshoot in the battery charging, that significantly improves the life of the battery banks. Test results of all these developed schemes are presented in this study for validating the proposed scheme.
Perfeccionismo interpersonal, miedo a fallar, y afectos en el deporte

El objetivo de este estudio fue probar un modelo predictivo que analiza la secuencia: preocupaciones perfeccionistas, miedo a fallar, y consecuencias de afectos positivos y negativos en las sesiones de entrenamiento deportivo en niños y adolescentes. Así como analizar el papel mediador del miedo a fallar. De las preocupaciones perfeccionistas nos centramos en el poder relativo de la influencia del perfeccionismo interpersonal, específicamente en dos facetas, presión de los padres y presión del entrenador. Participaron 142 deportistas federados de ambos sexos, con una edad media de 12.5 años (DT = 1.81), quienes respondieron a un conjunto de cuestionarios para medir las variables de estudio. Los resultados mostraron que la percepción de presión que ejercen dos fuentes primarias de evaluación de los deportistas, padres y entrenador, predicen los afectos negativos, sólo si en el deportista se desarrolla el miedo a fallar durante los entrenamientos deportivos. Estudiar simultáneamente el rol de los padres y entrenador es importante, ya que guía futuras intervenciones enfocadas a maximizar la influencia benéfica de los padres y entrenadores. En conclusión, el miedo a fallar es una emoción subjetiva, que tiene antecedentes ambientales -perfeccionismo interpersonal-, y consecuencias afectivas.
Feasibility Study on Application of Synchrotron Radiation μCT Imaging to Alloy Steel for Non-Destructive Inspection of Inclusions

In order to examine the feasibility of applying synchrotron radiation μCT imaging to alloy steels for non-destructive inspection of inclusions for potential origins of internal fatigue damage in the very high cycle region, synchrotron radiation μCT imaging was utilized for repeated non-destructive observation of Cr-Mo steel. An ultrasonic fatigue testing machine was used in aid of the repeated observation. As a result, it was found that the synchrotron radiation μCT imaging with 70 keV was useful for non-destructive observation of inclusions of more than 10 μm, one of which may be an internal fatigue origin. No identifiable damage was observed around every inclusion, and in the base metal, at least up to 70% of fatigue life was observed in the imaging volume.
Testing and Estimation of Social Network Dependence With Time to Event Data

Abstract Nowadays, events are spread rapidly along social networks. We are interested in whether people’s responses to an event are affected by their friends’ characteristics. For example, how soon will a person start playing a game given that his/her friends like it? Studying social network dependence is an emerging research area. In this work, we propose a novel latent spatial autocorrelation Cox model to study social network dependence with time-to-event data. The proposed model introduces a latent indicator to characterize whether a person’s survival time might be affected by his or her friends’ features. We first propose a score-type test for detecting the existence of social network dependence. If it exists, we further develop an EM-type algorithm to estimate the model parameters. The performance of the proposed test and estimators are illustrated by simulation studies and an application to a time-to-event dataset about playing a popular mobile game from one of the largest online social network platforms. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.
Diferenciación en las percepciones de empresas productoras de calcetines frente al clúster textil/confección/diseño/moda y a la responsabilidad social empresarial

Las empresas productoras de calcetines estan articuladas a la dinamica cluster de la ciudad de Medellin. Se busca la identificacion, por medio de entrevistas personales a directivos de empresas, de los conceptos que tienen acerca del cluster y sus beneficios; asi como en los aspectos relacionados con RSE y las acciones que realizan ante los diferentes stakeholders. La investigacion recoge las percepciones de empresas Productoras de calcetines frente al cluster textil/confeccion/diseno/moda y a la RSE. En cuanto al cluster se encontro conocimiento sobre el tema y sus beneficios, pero no una activa participacion en el ni en las diferentes actividades que alli se realizan. En cuanto a la RSE, las empresas en general tienen claridad del concepto, pero no se observan politicas ni actividades que vayan mas alla de las normas y requisitos exigidos por la ley.
2. Political Islam in Europe Amel Boubekeur Introduction

Europe is currently home to an extremely diverse landscape of political Islamic1 movements. This diversity is even greater than in most Muslim countries, where ideological Islamic expression is often limited by the official ideology of the state. In Europe, these movements are often mobilised in defence of European Muslim interests; they work for the recognition of Islam or as its spokesperson in dealing with European states or with the majority of Muslims who are not concerned with political Islam. These movements have been present in Europe for a long while now (between 20 and 40 years for most of them) but their daily realities are still not well known to European policy-makers, neither at the European, national nor local level. These movements only become really visible when different conflicts2 emerge in the public sphere. During the various headscarf debates, the
Implementation of an ERP System: A Case Study of a Full-Scope SAP Project

The paper presents the process of implementation of an ERP system basing on a single case study, with analysis of documentation being the main data collection approach. Activities and resulting products were presented for each of the project phases. Duration and effort needed to accomplish each phase were also identified. The result of the study is presentation of a real-life ERP system implementation methodology, verified during the full-scope implementation project. The paper may be of interest to researchers, who want to study any aspect of the ERP implementation as well as practitioners not familiar with ERP methodology, for example individuals aiming at entering the consulting industry or implementing ERP in their organisations.
Effective recruitment strategy to improve your hiring process

Recruitment and selection, as a human resource management function, is one of the activities that impact most critically on the performance of an organization in terms of achieving its final goal. Effective Recruiting is increasingly important. It's hard to overemphasize the importance of effective recruitment. Implementing creative recruiting strategies will help get your jobs seen by candidates who are looking for a new role. It will also make it faster to hire great candidates, more consistently, and with significantly less effort. If three candidates turning up for three openings, the recruiter many have little choice of selecting them, but if you have ten or more applicants you can use the assessment techniques to find out the best. Recruitment is difficult to start with by the predictions are that the process will get even harder. Development in Human Resource Information System made it much simpler in 20s. Hiring and then deploying people to positions where they can perform effectively is a goal of most organizations, whether domestic or international. Recruitment is defined as searching for and obtaining potential job candidates in sufficient numbers and quality so that the organization can select the most appropriate people to fill its job needs. Selection is the process of gathering information for the purposes of evaluating and deciding who should be employed jobs. It is important to note that recruitment and selection are discrete processes and both processes need to operate effectively if the firm is effectively to manage its staffing process.
你需要了解的Microsoft Live Mesh

凭借MicrosoftLiveMesh，微软进入了一个被称作“云计算”的市场，同时也表明了其坚定拥护这个新兴的计算趋势的决心。 这个表态的重要性体现在多个方面，最重要的莫过于这是微软公司第一次交付一款和自己传统的、利润丰厚的桌面产品直接竞争的产品。 然而和“云计算”本身一样，LiveMesh在很大程度上仍然被误解了，现在还不清楚微软的这个全新的“云中服务”对于它那些赖以为生的企业客户们到底会产生什么影响。 以下是一些你应该知道的有关MicrosoftLiveMesh的事实。
A new efficient tracking algorithm for through wall tracking of moving target by using UWB radar

In this paper, through wall moving target tracking by M-sequence UWB radar is described. For that purpose, the imaging method consists of radar signal processing phases such as raw radar data preprocessing, background subtraction, data fusion obtained by receiving antennas of radar, detection, localization and tracking itself, is used. Our paper is focused on last phase tracking. Here, new nonlinear low-complex two-section tracking-filter (2S-TF) is introduced for target tracking based on the target localization phase result. It will be shown, that the proposed new tracking filter presented in this paper can provide better smoothing of target trajectory at much less computational complexity than the wellknow linear Kalman filters. Index Terms back projection, imaging method, Kalman filters, moving target tracking, radar signal processing, through wall tracking, tracking filter, UWB radar
Impacts of Global Warming on Extreme Rainfall of a Slow-Moving Typhoon: A Case Study for Typhoon Talas (2011)

This study investigated the impacts of global warming on extreme rainfall produced by a slow-moving typhoon by conducting pseudo-global warming (PGW) experiments. We examined Typhoon Talas (2011) that caused long-lasting heavy rainfall exceeding 2000 mm over the Kii Peninsula. The experiments successfully captured the track and translation speed of the actual typhoon, which enabled to quantitatively assess the climate change impacts. The PGW experiments indicated that the extreme rainfall is intensified in the future climates than in the present cli - mate. Especially, the higher extremes of the accumulated rainfall are projected to be more severe in the future climate scenario. The analysis on the environmental factors showed that the cases with increased precipitable water lead to the increases in rainfall in future climates, despite the stabilized atmospheric conditions. Among the PGW experiments, the most increased amount of rain- fall was found not to be produced by the most intensified typhoon. ( Impacts of global warming on extreme rainfall of a slow-moving typhoon: A case study for
Patient preferences for management of high blood pressure in the UK: a discrete choice experiment

Background With a variety of potentially effective hypertension management options, it is important to determine how patients value different models of care, and the relative importance of factors in their decision-making process. Aim To explore patient preferences for the management of hypertension in the UK. Design and setting Online survey of patients who have hypertension in the UK including an unlabelled discrete choice experiment (DCE). Method A DCE was developed to assess patient preferences for the management of hypertension based on four attributes: model of care, frequency of blood pressure (BP) measurement, reduction in 5-year cardiovascular risk, and costs to the NHS. A mixed logit model was used to estimate preferences, willingness-to-pay was modelled, and a scenario analysis was conducted to evaluate the impact of changes in attribute levels on the uptake of different models of care. Results One hundred and sixty-seven participants completed the DCE (aged 61.4 years, 45.0% female, 82.0% >5 years since diagnosis). All four attributes were significant in choice (P<0.05). Reduction in 5-year cardiovascular risk was the main driver of patient preference as evidenced in the scenario and willingness-to-pay analyses. GP management was significantly preferred over self-management. Patients preferred scenarios with more frequent BP measurement, and lower costs to the NHS. Conclusion Participants had similar preferences for GP management, pharmacist management, and telehealth, but a negative preference for self-management. When introducing new models of care for hypertension to patients, discussion of the potential benefits in terms of risk reduction should be prioritised to maximise uptake.
Decoupling and Low-Profile Design of Dual-Band Dual-Polarized Base Station Antennas Using Frequency-Selective Surface

A dual-band dual-polarized base station antenna array is developed for fifth generation (5G) applications. Low-profile characteristic, high isolations, and shared-aperture are realized by introducing a frequency-selective surface (FSS) between radiators operating in the 0.69–0.96 GHz (B1) and 3.5–4.9 GHz (B2) bands. The dual-polarized B1-band antenna has a low-profile height of <inline-formula> <tex-math notation="LaTeX">$0.12~\lambda _{L}$ </tex-math></inline-formula> (<inline-formula> <tex-math notation="LaTeX">$\lambda _{L}$ </tex-math></inline-formula> is the wavelength at the center frequency of B1). As for the B2 band, a <inline-formula> <tex-math notation="LaTeX">$2 \times 2$ </tex-math></inline-formula> dual-polarized array sharing the same aperture with the B1-band antenna is developed for the sub-6 GHz band. Severe mutual coupling between B1- and B2-band antennas is reduced by the FSS. High port isolation (> 25 dB) between B1- and B2-band antennas is achieved. A prototype consisting of one B1-band antenna and a <inline-formula> <tex-math notation="LaTeX">$2 \times 2$ </tex-math></inline-formula> B2-band antenna array is fabricated. Measured results show that the proposed dual-band dual-polarized array achieves 32.7% and 33.3% bandwidth in the B1 and B2 bands, respectively. Measured results also demonstrate that the proposed array offers stable radiation patterns, high gains, and high cross-polarization discriminations (XPD > 20 dB) across the two frequency bands. These attractive features make this array an ideal candidate for future 5G massive MIMO base station antenna developments.
The Detection and Avoidance of Sybil Attack via efficient routing procedures for multiple nodes in wireless sensor network

A wireless sensor network (WSN) is an independent network. This network incorporates sensors which are autonomous in nature, spatially distributed and used to monitor physical or environmental conditions. The Energy consumption is a major issue which takes place during transfer of data between nodes. The energy consumption depends on how much nodes in the network and how much data transfer is happening between nodes. The communication among sensors is via wireless links. So there is always a risk from external threats. This infrastructure less nature of WSN makes it vulnerable to security risks and various attacks. There is an attack which causes many serious threats to the network and it is known as Sybil Attack. This is most popular attack in WSN In Sybil attack, attackers or false nodes use multiple identities to take control over the network and creates lots of misapprehension among nodes. They forge the identity of some trustworthy node present in the network and misbehave which leads to a large drop of data packets. There is always a confusion which node is good or which is false. It also effects the communication among the nodes present in the network. In this research, I will implement the LEACH routing protocol to detect and prevent Sybil attack in WSN for multiple nodes. I will do this for 17, 32, 48 and 64 nodes. I will show the energy and efficiency of this protocol. I will do this for small to big cluster rather than taking directly a big cluster of nodes. The usability and energy consumption is questionable if we don’t have that much big requirement of cluster. The big the network the more energy consumption happens. I will do Detection and hope count for nodes. Detection is done by distance and hop count between the nodes and prevention mechanism for Sybil attack will use encryption technique. I have used NS2 Simulation tool for the implementation of project.