Miracle-dz/UniFAR-FTUs huggingface dataset:
Transient Stability Analysis of Grid Connected Wind Turbine Generator System Considering Multi-Mass Shaft Modeling

In order to investigate the impacts of the integration of wind farms into utilities networks, it is necessary to analyze the transient characteristic of wind turbine generator system (WTGS). In most of the cases, the simple one mass lumped model is considered for stability analysis of wind generator. It is not analyzed yet which order shaft model is sufficient for transient stability analysis of WTGS. In this study, a detailed transient analysis has been done with the consideration of two mass and three mass shaft models of WTGS. Finally, it is concluded that two mass shaft model is sufficient enough for transient stability analysis of grid connected WTGS.
Neural Network-Based Inverse Analysis for Defect Identification with Laser Ultrasonics

Abstract. This paper describes an application of the neural network-based inverse analysis method to the identification of a surface defect hidden in a solid, using laser ultrasonics. The inverse analysis method consists of three subprocesses. First, sample data of identification parameters versus dynamic responses of displacements at several monitoring points on the surface are calculated using the dynamic finite-element method. Second, the back-propagation neural network is trained using the sample data. Finally, the well-trained network is utilized for defect identification. Fundamental performance of the method is examined quantitatively and in detail, through both numerical simulations and laser ultrasonics experiments. Locations and depths of vertical defects are successfully estimated within 12.5% and 4.1% errors relative to the specimen thickness, respectively.
Online Learning for Hierarchical Scheduling to Support Network Slicing in Cellular Networks

We study a learning-based hierarchical scheduling framework in support of network slicing for cellular networks. This addresses settings where users and/or service classes are grouped into slices, and resources are allocated hierarchically. The hierarchy is implemented by combining a slice-level scheduler which allocates resources to slices, and flow-level schedulers within slices which opportunistically allocate resources to users/services. Optimizing the slice-level scheduler to maximize system utility is typically hard due to underlying heterogeneity and uncertainty in user channels and performance requirements. We address this by reformulating the problem as an online black-box optimization where slice-level schedulers (parameterized by a weight vector) combined with flow-level schedulers result in user/service level stochastic rewards representing performance fitness; the goal is to learn the best weight vector. We develop a bandit algorithm based on queueing cycles by building on Hierarchical Optimistic Optimization (HOO). The algorithm guides the system to improve the choice of the weight vector based on observed rewards. Theoretical analysis of our algorithm shows a sub-linear regret with respect to an omniscient genie. Finally through simulations, we show that the algorithm adaptively learns the optimal weight vectors when combined with opportunistic and/or utility-maximizing flow-level schedulers.
Contour and flexure-actuated in-plane modes of AlN-based piezoelectric vibrating MEMS

In this work, we study the modes of vibration for two different families of aluminium nitride-actuated piezoelectric microstructures: contour modes and flexure-actuated modes. For the contour modes, the structure vibrates at frequencies determined by its edge dimensions whereas for the flexure-actuated modes a suspended structure is displaced by the lateral bending of the flexures. We combine electrical and optical techniques to fully characterize the vibrating modes of these types of in-plane MEMS structures. An electronic speckle pattern interferometry technique is used for a full 3D detection of the movement of the structures. Quality factors as high as 5000 and motional resistance as low as 4 KOhm were obtained for in-plane modes in air and a quality factor as high as 300 was obtained for an in-plane structure with water on the top surface. This work shows the great flexibility in the selection of resonant modes in piezoelectric resonators and actuators, implemented by a proper design of the electrode layout geometry.
Engineering Education in ERASMUS: an overview

SUMMARY The ERASMUS Programme has meant a leap forward in both the quality and the quantity of student exchange programmes in engineering. About 4700 engineering students will be involved in the first three years of the programme. There is a variety of organisational patterns in the inter-university co-operation programmes, ranging from bilateral exchanges of short duration (three months) to fully integrated multilateral programmes leading to a double qualification. The ERASMUS exchanges have proved to be highly beneficial to students: in addition to the basic academic training, the period abroad allows students to improve their language proficiency, obtain cultural and social enrichment, and develop important personal virtues like openness, adaptability and the ability to stand on their own feet.
Software Development Life Cycle Security Issues

Security is now‐a‐days one of the major problems because of many reasons. Security is now‐a‐days one of the major problems because of many reasons. The main cause is that software can't withstand security attacks because of vulnerabilities in it which are caused by defective specifications design and implementation. We have conducted a survey asking software developers, project managers and other people in software development about their security awareness and implementation in Software Development Life Cycle (SDLC). The survey was open to participation for three weeks and this paper explains the survey results.
Harmonization: Developing Consistent Guidelines for Applying Mode of Action and Dosimetry Information to Cancer and Noncancer Risk Assessment

The 1983 book, Risk Assessment in the Federal Government: Managing the Process, recommended developing consistent inference guidelines for cancer risk assessment. Over the last 15 years, extensive guidance have been provided for hazard assessment for cancer and other endpoints. However, as noted in several recent reports, much less progress has occurred in developing consistent guidelines for quantitative dose response assessment methodologies. This paper proposes an approach for dose response assessment guided by consideration of mode of action (pharmacodynamics) and tissue dosimetry (pharmacokinetics). As articulated here, this systematic process involves eight steps in which available information is integrated, leading first to quantitative analyses of dose response behaviors in the test species followed by quantitative analyses of relevant human exposures. The process should be equally appropriate for both cancer and noncancer endpoints. The eight steps describe the necessary procedures for incorporat.
Flip-chip solder bonding for microsystems

Flip-chip solder bonding is a well established method for performing simultaneous interconnection and mechanical mounting of microelectronic components. It has recently been enjoying a resurgence of interest for assembly of microsystems on account of a unique process attribute, namely that the components being joined are precisely and repeatably aligned in three orthogonal directions. Sub-micron accuracy is readily achieved.
Integrated selection of suppliers and scheduling of customer orders in the presence of supply chain disruption risks

This paper presents a new stochastic mixed integer programming approach to integrated supplier selection, order quantity allocation and customer order scheduling in the presence of supply chain disruption risks. Given a set of customer orders for products, the decision maker needs to decide from which supplier to purchase parts required to complete the orders, how to allocate the demand for parts among the selected suppliers, and how to schedule the customer orders over the planning horizon to minimize total cost of ordering and purchasing of parts plus penalty cost of delayed and unfulfilled customer orders and to mitigate the impact of disruption risks. The risk-neutral and risk-averse solutions that optimize, respectively average and worst-case performance of a supply chain are compared for both single and multiple sourcing strategy. Numerical examples are presented and computational results are reported.
Analytical magnetic field distribution of slotless brushless PM motors. Part 2: Open-circuit field and torque calculations

This study presents the open-circuit analytical magnetic field distribution of slotless brushless permanent magnet motors equipped with surface-mounted magnets. Although the focus of the study is on open-circuit magnetic field analysis, by augmenting the open-circuit magnetic field distribution with the armature reaction field distribution obtained from the first part of the series of two studies, the electromagnetic torque is calculated. The electromagnetic torque is calculated for both internal and external rotor motors with six different magnetisation patterns and three different armature current waveforms. The analysis domain consists of eight annular concentric regions: motor shaft, rotor back-iron, magnets, retaining sleeve, air-gap, winding, stator back-iron and exterior regions. Based on the open-circuit magnetic field distribution, the induced back-electromotive force (EMF) is also calculated. The validity of the proposed model is confirmed by comparing the analytical results with those obtained from the finite element method and an experimental set-up.
Model SENSAT: a tool for evaluating the system performance of optical sensors

Model SENSAT (Sensor-Atmosphere-Target) is a tool for evaluating the radiometric system performance of passive optical sensors. In combination with the LOWTRAN-7 code the model can be employed in the spectral range 0.20-28 microns. The model is capable of treating up to three homogeneous objects in the sensor's instantaneous field of view. It calculates the emitted/reflected radiance contribution of each object at the sensor, the SNR, the brightness temperature (IR sensors), and derived quantities such as the detector signal, and associated quantized (A/D converted) digital numbers. Special features include the multiple path option (sun-earth-target-sensor), a noise model for quantum detectors, a spectral band optimization, and a multi-band sensor option, which processes a sequence of contiguous spectral bands (e.g. high resolution spectrometer). Besides the system performance prediction the model can also be employed to process images of spaceborne/airborne optical sensors by performing the atmospheric correction and calculating ground reflectance images.
Tilting-Pad Journal Bearings With Active Lubrication Applied as Calibrated Shakers: Theory and Experiment

In recent years, a continuous research effort has transformed the conventional tilting-pad journal bearing into a mechatronic machine element. The addition of electromechanical elements provides the possibility of generating controllable forces over the rotor as a function of a suitable control signal. Such forces can be applied in order to perform parameter identiﬁcation procedures in-situ, which enables evaluation of the mechanical condition of the machine in a non-invasive way. The usage of a controllable bearing as a calibrated shaker requires obtaining the bearing speciﬁc frequency dependent calibration function, i.e. the transfer function between control signal and force over the rotor. This work presents a theoretical model of the calibration function for a tilting-pad journal bearing with active lubrication. The bearing generates controllable forces by injecting pressurized oil directly into the bearing clearance. The injected ﬂow is controlled by means of a servovalve. The theoretical model includes the dynamics of the hydraulic system using a lumped parameter approach, which is coupled with the bearing oil ﬁlm using a modiﬁed form of the Reynolds equation. The oil ﬁlm model is formulated considering an elastothermohydro-dynamic lubrication regime. New contributions to the mathematical modeling are presented, such as the inclusion
Voice activity detector employing generalised Gaussian distribution

A novel approach to a voice activity detector (VAD) in noisy environments is presented. The generalised Gaussian distribution (GGD) is employed as a parametric model for noisy speech, which enables tuning to the actual data. According to the experimental results, it was discovered that the proposed GGD model is more effective for the VAD algorithm compared to the conventional Laplacian model.
Larger body size leads to greater female beluga whale ovarian reproductive activity at the southern periphery of their range

Abstract Identification of phenotypic characteristics in reproductively successful individuals provides important insights into the evolutionary processes that cause range shifts due to environmental change. Female beluga whales (Delphinapterus leucas) from the Baffin Bay region (BB) of the Canadian Arctic in the core area of the species’ geographic range have larger body size than their conspecifics at the southern range periphery in Hudson Bay (HB). We investigated the mechanism for this north and south divergence as it relates to ovarian reproductive activity (ORA = total corpora) that combines morphometric data with ovarian corpora counted from female reproductive tracts. Our study aim was to assess the relative influence of age and body size of female beluga whale on ORA in the two populations. Female beluga whale ORA increased more quickly with age (63% partial variation explained) in BB than in HB (41%). In contrast, body length in HB female beluga whales accounted for considerably more of the total variation (12% vs. 1%) in ORA compared to BB whales. We speculate that female HB beluga whale ORA was more strongly linked with body length due to higher population density resulting in food competition that favors the energetic advantages of larger body size during seasonal food limitations. Understanding the evolutionary mechanism of how ORA varies across a species’ range will assist conservation efforts in anticipating and mitigating future challenges associated with a warming planet.
Monte Carlo Simulation of a New Control Strategy for the Weft Brake on Air-Jet Looms

In air-jet weaving, weft insertion time depends on the characteristics and properties of the weft yam. Because deviations of properties within bobbins exist, a control system is sometimes required to obtain a sufficiently even arrival time of the weft yam. This paper presents a new control strategy to obtain a more constant arrival time over the bobbin. The control strategy is illustrated and tested using a Monte Carlo simulation. For this purpose, a mathematical model for weft insertion on air-jet looms is developed. The new control strategy shows good results.
Power metering using wireless sensory network

This paper presents the design and implementation of a hardware platform for wireless sensory network applications. This hardware platform is designed to address the constraints of size, cost and energy consumption imposed on wireless sensor network nodes. It also presents the development of a power metering application based on the manufactured hardware devices. The application will measure and log the power consumption of different household or office appliances and transmit gathered information wirelessly to a base station. Moreover, the application has also been used for testing and exploring various capabilities and functionalities of the hardware platform.
Decision model for the application of just-in-sequence

An increasing number of module variants pose a challenge for just-in-time (JIT) production systems. As a consequence of managing rising variety-driven complexity costs, sophisticated logistics concepts such as just-in-sequence (JIS) have grown in importance over the last years. Switching to JIS sourcing of modules with many variants is often indispensable in order to enable the cost-efficient production of customised products, foremost in the automotive industry. The main goal of this research is to provide a framework to determine under which circumstances switching from JIT to JIS is most advantageous. For this purpose a module selection framework as well as a logistics costs function model of the production system is developed. Often only considered as a refinement of JIT, we strive to establish JIS as a logistics concept of equal weight.
Adaptive fuzzy control: theory versus implementation

The long-term goal of our research programme is to conceive a stand-alone controller for driving the reaction of a semi-active control device to a given feedback. The resulting control scheme must be robust and is required to react instantaneously. Both these aspects led the authors to adopt commercial fuzzy chips as controllers. The work covered in this paper is the development of an adaptive capability, i.e. the ability to detect changes in the system response and to modify the controller properties accordingly. Copyright © 2002 John Wiley & Sons, Ltd.
EWOD Digital Microfluidics for Lab on a Chip

This paper presents a brief overview of Electro Wetting On Dielectric (EWOD) microdroplet actuation technology fluidic behaviour. EWOD specifics are compared with other digital microfluidics actuation modes. In particular ease of integration with complex protocols is emphasized. After reviewing the electro-wetting principle and various Electro-Hydro-Dynamic (EHD) phenomena; we compare various EWOD configurations for Lab on a Chip. Two fluid functionalities will be detailed: on-chip droplet dispensing, and mixing. We cover chip architecture and the benefits of organizing these chips as fludic microprocessors. Finally, real time PCR (Polymerase Chain Reaction) within a 64 nl droplet is described as an illustration of a biological application using EWOD.Copyright © 2006 by ASME
Research and Implementation of Smart Banknote Counter Self-Learning System

In the event of a new version of financial markets, realistic counterfeit money, and only rely on manufacturers to upgrade the software in order to re-identify the class counter counterfeit money, proposed to establish a banknote counter self-learning system. The article mainly describes the specific implementation method of banknote counter being on line self-learning ability, through establishing feature vector template database of banknotes, using the template matching algorithm to identify genuine and fake of banknotes. Experiments show that the smart banknote counter designed in the method has self-learning abilities for fake banknotes, can implement specific anti-counterfeiting, being greatly increase accuracy of identification falsity.
Sexual dimorphism in testosterone programming of cardiomyocyte development in sheep.

Perturbed in-utero hormone milieu leads to intrauterine growth retardation (IUGR), a known risk factor for left ventricular (LV) dysfunction later in life. Gestational testosterone (T) excess predisposes offspring to IUGR and leads to LV myocardial disarray and hypertension in adult females. However, the early impact of T excess on LV programming and if it is female-specific is unknown. LV tissues were obtained at day 90 gestation from days 30-90 T-treated or control fetuses (n=6/group/sex) and morphometric and molecular analyses were conducted. Gestational T treatment increased cardiomyocyte number only in female fetuses. T excess up-regulated receptor expression of insulin and insulin-like growth factor. Furthermore, in a sex-specific manner, T increased expression of Phosphatidylinositol 3-kinase (PI3K) while down regulating phosphorylated mammalian target of rapamycin (pmTOR) /mTOR ratio suggestive of compensatory response. T excess 1) upregulated atrial natriuretic peptide (ANP) and brain natriuretic peptide (BNP), markers of stress and cardiac hypertrophy 2) upregulated estrogen receptors1 (ESR1) and 2 (ESR2) but not in androgen receptor (AR). Thus, gestational T excess upregulated markers of cardiac stress and hypertrophy in both sexes while inducing cardiomyocyte hyperplasia only in females, likely mediated via insulin and estrogenic programming.
LED projection displays

In this paper a new illumination system with high power light emitting diode (LED) sources for projection displays is proposed. The prototype of a rear projection system has been developed by using red, green and blue (RGB) LEDs and three LCD panels. Four LEDs were used for each primary color. Parabola reflectors were used for collimating the LED lights and a new array style of LEDs and collimators were used. Integration rods were directly used between collimators and LCD panels without relay lens for uniform light distribution. A 40" projection display system was made with a light output about 25 lm on the screen and the projection engine was very small comparing to the original engine which uses an arc source.
Gender Differences in Intra-Household Financial Decision-Making: An Application of Coarsened Exact Matching

Most studies that explore collective models of intra-household decision-making use economic outcomes such as human capital, earnings, assets, and relative income shares as proxies of the relative distribution of bargaining power. These studies, however, fail to incorporate important measures of control over and management of the economic resources within households. In the current study, a direct measure of financial decision-making power within the household is used to directly assess the distribution of bargaining power. Coarsened exact matching, an identification strategy not yet applied in studies of this nature, is applied to couple-level observational data from South Africa’s longitudinal National Income Dynamics Study. The influence of gender differences in intra-household decision-making on resource allocations to per capita household expenditure is assessed. In the case of greater financial decision-making power in couples being assigned to wives rather than husbands, per capita household expenditure on education increases significantly. The empowerment of women with financial decision-making power therefore holds the promise of realizing the benefits of investments in human capital.
Enhanced ground bounce noise reduction in a low-leakage CMOS multiplier

In this paper, various parameters are used to reduce leakage power, leakage current and noise margin of circuits to enhance their performance. A multiplier is proposed with low-leakage current and low ground bounce noise for the microprocessor, digital signal processors (DSP) and graphics engines. The ground bounce noise problem appears when a conventional power-gating circuit transits from sleep-to-active mode. This paper discusses a reduction in leakage current in the stacking power-gating technique by three modes – sleep, active and sleep-to-active. The simulation results are performed on a 4 × 4 carry-save multiplier for leakage current, active power, leakage power and ground bounce noise, and comparison made for different nanoscales. Ground bounce noise is limited to 90%. The leakage current of the circuit is decimated up to 80% and the active power is reduced to 31%. We performed simulations using cadence virtuoso 180 and 45 nm at room temperature at various supply voltages.