Miracle-dz/UniFAR-FTUs huggingface dataset:
Theoretical characterization and experimental verification of a novel compact broadband microstrip bandpass filter

A novel compact broadband microstrip bandpass filter is proposed and developed on the basis of the frequency-distributed coupling behavior of the parallel-coupled microstrip line (PCML) and the multimode resonance of the stepped-impedance line resonator. Comprehensive investigation in this work is dedicated to a physical insight into its operating mechanism and theoretical characterization of its broadband filtering performance through the use of its complete equivalent circuit network. Finally, such a microstrip filter is designed, fabricated and measured, providing an excellent verification of its attractive features such as multiple transmission poles, broad passband and compact size.
Earth-satellite tree attenuation at 20 GHz: foliage effects

Static tree attenuation measurements at 20 GHz (K-band) on a 30° slant path through a mature Pecan tree with and without leaves have shown median fades exceeding ∼ 23 and 7 dB, respectively. The corresponding 1 % probability fades were 43 and 25 dB. Previous 1.6 GHz (L-band) measurements for the bare tree case showed fades larger than those at K-band by 3.4 dB for the median and smaller by ∼ 7 dB at the 1% probability. Although the presence of foliage had only a small effect on fading at L-band (∼ 1 dB additional for the median to 1% probability range), the attenuation increase was significant at K-band, where it increased by ∼ 17 dB over the same probability range.
Life Cycle Assessment Approach to Evaluation of Environmental Impact Batik Industry

The batik industry is one of the most developed textile businesses in Indonesia. The by-products of the batik-making process are various forms of waste, such as solid waste and wastewater. One way to reduce the environmental impact of the batik-making process is by using a life cycle assessment (LCA) analysis. This study aims to analyze the environmental effects of the batik-making process and the raw material input, which has the most significant environmental impact. Environmental impact assessment is carried out by inventorying inputs and outputs based on the ecoinvent 3 databases with Simapro 9.1. 1 software. The environmental impact analysis method is carried out with the 2018 environmental product declaration (EPD). The results of the gate-to-gate analysis show that the highest environmental impact is global warming. Meanwhile, from the use of raw materials and energy, paraffin needs to be minimized. The use of paraffin accounts for 68.705% of the total environmental impact of the batik-making process.
Transonic Aeroelastic Instability Suppression for a Swept Wing by Targeted Energy Transfer

Targeted energy transfer is studied as a means for suppression of transonic aeroelastic instabilities of a wind-tunnel swept wing, with a focus on designing a lightweight nonlinear energy sink that improves the critical flutter condition. The aeroelastic response modes of the wing with a nonlinear energy sink coupled to the tip are identified and tested for robustness using a medium-fidelity computational aeroelasticity model, and confirm that robust suppression of transonic aeroelastic instabilities is achievable. Accordingly, a nonlinear energy sink is designed based on a parametric study, and its transonic aeroelastic effects are studied using medium- and high-fidelity models. The results of both models indicate an improvement in stability over a broad range of conditions; the high-fidelity model predicts an approximately 40% increase in the dynamic pressure at the critical stability condition. Finally, a prototype winglet-mounted nonlinear energy sink is modeled to examine its aeroelastic effects. The.
Implementation of an advanced ocean transponder and deckset utilizing complex waveforms

Phase-coded pingers, which came into practical application in the 1970s on fixed undersea tracking ranges, were one of the early uses of a complex waveform in undersea tracking applications. Prior to this, gated continuous-wave (CW) pings utilizing peak detection algorithms were used on undersea tracking ranges and for other navigation and tracking applications. Today's tracking and navigation applications require much higher accuracy, higher probability of detection, portability (which includes low power), and high system availability. An advanced ocean transponder (AOT) and deckset system has been developed which meets these challenges. Utilizing advanced complex digital waveform signaling techniques and high-performance commercial off-the-shelf (COTS) components, the new AOT/deckset system meets today's tracking and navigation requirements. The complex waveforms used by this system provide enhanced processing gain, narrow correlation peaks, and robust communication in highly reverberant environments. The need for portable systems has also added the challenge of extensive in-water processing requirements. New COTS, low-powered field-programmable gate-arrays, digital signal processors, and micro-controllers provide the necessary processing bandwidth to adequately detect, classify, and process the complex waveforms. These functions are provided as part of the portable in-water AOT. The low power characteristics and operational scenarios incorporated provide for long battery life. This paper describes the commercially available AOT/Deckset system, which utilizes these advanced complex waveform techniques. It includes a discussion of the signaling scheme, the processing architecture, and the detection algorithm, as well as results from recent field tests.
Impulse fault classification in transformers by fractal analysis

Transformers are usually subjected to lightning impulse tests after assembly for assessment of their insulation strength. In the case of a fault the resulting winding current gets changed to a certain extent. The pattern of the fault currents depends on the type of fault and its location along the length of the winding. This paper describes the application of the concept of fractal geometry to analyze the properties of fault currents. Fractal features such as fractal dimension, lacunarity used for image surface recognition and the sliding window algorithm used for fractal analysis of waveform have been employed for classification of transformer impulse faults. Experimental results obtained for a 3 MVA transformer and simulation results obtained for 3 MVA, 5 MVA and 7 MVA transformers are presented to illustrate the ability of this approach to classify insulation failures. The results indicate that this new approach possesses reasonable abilities for waveform pattern discrimination.
Analyses of Current And Wave Forces on Velocity Caps

Velocity caps are often used in connection with for instance offshore intake sea water for the use of for cooling water for power plants or as a source for desalinization plants. The intakes can also be used for river intakes. The velocity cap is placed on top of a vertical pipe. The vertical pipe leads the water into another pipe or tunnel system. A pressure gradient generated by the water level difference between the sea and basin drives the flow through the tunnel system. The tunnel system is often in the order of a couple kilometers long. Based on CFD analyses (computational fluid dynamics) this paper investigates the current and wave forces on the velocity cap and the vertical cylinder. The Morison’s force model was used in the analyses of the extracted force time series in from the CFD model. Further the distribution of the inlet velocities around the velocity cap was also analyzed in detail in the wave case.Copyright © 2015 by ASME
Damaged airplane flight envelope and stability evaluation

Purpose – Understanding the performance and flight envelope of a damaged aircraft is a preliminary requirement to recover the aircraft after damage. This paper aims to provide a comprehensive understanding of wing damage effect on airplane performance, local stability, and flying quality of each trim state inside the achievable flight envelope.Design/methodology/approach – This paper demonstrates the use of attainable equilibrium points which are referred as trim states in order to estimate a damaged airplane manoeuvring flight envelope using a numerical computation method.Findings – Wing damaged airplane manoeuvring flight envelope is estimated for different portions of the wing tip loss. Local stability at each trim condition inside the estimated flight envelope is analysed, and also motion flight modes and flying quality sensitivity to the wing damage are explored.Originality/value – Local stability and flying quality analysis at each trim condition inside the flight envelope which demonstrate the effe.
Analyzing Abnormal Cycles of Pilot Tube Microtunneling through Pattern Recognition in Time-Series Data of Hydraulic Pressure

Abnormally long operation cycles of Pilot Tube Microtunneling (PTMT) can cause construction delays, difficulties of project coordination, and equipment maintenances costs due to improper operations. Manually logging and analyzing abnormal operation cycles is tedious and time consuming. This paper presents an approach that enables automated identification and analysis of abnormal cycles of PTMT based on automatically logged PTMT operational data. The data collection instrument is a data logger that automatically records time series of hydraulic pressures of boring machines from pressure transducers attached to their hydraulic lines. Different PTMT operations (e.g., boring, retracting) result in different patterns in these time-series. The authors developed an approach that automatically recognizes time series patterns representing operation cycles of three phases of PTMT installation. This approach uses Artificial Neural Network (ANN) to classify a time series as belonging to a certain PTMT phase, and then applies an Adaptive Anomaly Detection Algorithm (AADA) to clean and split the time series into operation cycles. The results from a case study show that this automated approach enables users to analyze abnormal cycles of PTMT and gain insights about how to improve PTMT productivity.
Introduction to the VIMMP ontologies

Disclaimer: This document is intended for joint dissemination with the ontologies developed by the Virtual Materials Marketplace (VIMMP) project. Its contents are included in VIMMP project deliverable 1.4 and made available to the public through CORDIS; the material (ontologies and this document) can be reused and further developed under the terms and conditions of LGPL version 3 , provided that proper attribution is made to the original authors and any additional contributors as well as the VIMMP project consortium. The VIMMP project is funded from the EU’s Horizon 2020 research and innovation programme under grant agreement no. 760907. The authors retain the right to publication and dissemination by additional means , following procedures and regulations in line with the terms and conditions from the VIMMP consortial agreement.
Short-Term Traffic Flow Forecasting of Road Based on Spline Weight Function Neural Networks

Traditional short-term traffic flow forecasting of road usually based on back propagation neural network, which has a low prediction accuracy and convergence speed. This paper introduces a spline weight function neural networks which has a feature that the weight function can well reflect sample information after training, thus propose a short-term traffic flow forecasting method base on the spline weight function neural network, specify the network learning algorithm, and make a comparative tests bases on the actual data. The result proves that in short-term traffic flow forecasting, the spline weight function neural network is more effective than traditional methods.
Big Data Analytics: Map Reduce Function using BIRCH Clustering Algorithm

It is well known that, in Big Data information is represented in unstructured form and NoSQL is used for query processing. The volume of data also too large and simple Query processing is not sufficient and irrelevant. From that large volume of data, extracting the knowledgeable information is a big challenge. To analyze that, various Big Data analytical techniques are available in the market, that uncovers hidden patterns, market trends, customer preferences and other useful information that can help the organization to take useful decisions within less amount of time. For such applications, Map reduces frame work has recently attracted, that was introduced by APACHE HADOOP. However, conventional Map-Reduce function uses K-Means Clustering algorithm, which will work efficiently on numerical data only with high time complexity. This paper gives an idea how BIRCH works efficiently on large databases concerning running time, space required, quality, the number of I/O operations applied. It shows linear scalability with respect to a number of objects. will be
Analysis of some design choices in model based predictive control of flying‐capacitor inverters

Purpose – Flying‐capacitor multilevel converters (FCC) need a passive or active regulation of the capacitor voltages. Recently the trend is towards active control, often implemented separately from the current control. The advantages of a true multi‐variable control sparked the interest to apply Model Based Predictive Control (MBPC) for FCC. In this paper an objective analysis method to evaluate the effects of several design choices is presented. The effects of the weight factor selection, model simplification, and prediction horizon expansion for MBPC of a 3‐level FCC are analyzed in a systematical way.Design/methodology/approach – The analysis is mainly based on the mean square error (MSE) of current and capacitor voltage. The results are analysed for different lengths of the prediction horizon and for a wide range of weight factor values. Similarly the effect of a model simplification, neglecting the neutral point voltage, is studied when implementing MBPC for FCCs while considering the computational a.
Multiprotocol lambda switching for IP over optical networks

This paper examines the multi-protocol lambda switching approach to support IP over WDM networks. The MPL(ambda)S approach extends a common control plane to IP and optical domains based on multiprotocol label switching (MPLS) with extensions for the unique characteristics of the optical network. We investigate some practical issues related to signaling, routing, differentiated services, and survivability.
International Research Projects on Structural Health Monitoring: An Overview

Significant research efforts are presently spent to the problems of health monitoring and damage detection. This paper approaches the subject from the point of view of the organisation of the research. More specifically, it reviews the main international research programs and activities, which are devoted to this topic. Related to this are the questions of the user needs and the deployment of the research results: assuming valid research results are obtained, in what form should these results be deployed to address the user needs. While the focus is on EU-cooperative research, the main US and Far-East activities are briefly discussed as well.
Control for slosh-free motion of an open container

This article describes two methods for controlling the surface of a liquid in an open container as it is being carried by a robot arm. Both methods make use of the fundamental mode of oscillation and damping of the liquid in the container as predicted from a boundary element model of the fluid. The first method uses an infinite impulse response filter to alter the acceleration profile so that the liquid remains level except for a single wave at the beginning and end of the motion. The motion of the liquid is similar to that of a simple pendulum. The second method removes the remaining two surface oscillations by tilting the container parallel to the beginning and ending wave. A double pendulum model is used to determine the trajectory for this motion. Experimental results of a FANUC S-800 robot moving a 230 mm diameter hemispherical container of water are presented.
Electrocardiographic examination in calves: a preliminary study

This study aims to describe and evaluate normal electrocardiographic parameters in calves.Twenty healthy male Holstein calves were included and divided into two groups of 10 animals each. Calves aged between 25 and 30 days have been enrolled in the Group 1. Calves aged between 177 and 183 days have been included in Group 2. The electrocardiogram were recorded with minimal restraint and without any sedation. Standard bipolar (I, II, and III) and augmented unipolar limb (aVR, aVL, and aVF) leads were recorded using 50 mm / sec paper speed and 10 mm = 1 mV for at least 5 minutes. QRS complexes, T and P waves were evaluated for duration and amplitude. The duration of the PR, QT and ST intervals was also measured. The analysis of the electrocardiography traces showed that the morphology of the QRS complex was of type Qr, QS or rS in both groups. The duration and amplitude of P, T waves and QRS complex showed minimal variations between two groups. The duration of the QT and RR intervals was higher in the Group 1 than the Group 2, instead the heart rate was decreased.
The media welfare state: A citizen perspective

During the last decades the Nordic media model has been challenged by neoliberal policy and welfare retrenchment. This study asks about the extent to which the values, functions and institutions of the “media welfare state” are supported by the adult Swedish citizenry, despite political mobilization against it. Drawing on a national survey (n = 2003) this study shows that the media welfare state is generally well-supported by the population. Using exploratory statistical analysis, we identify a media welfare state of mind. While widespread in the population, this attitudinal constellation is more common in older segments of the population, in the working-class, and by those who frequently use and trust public service media. The main conclusion is that support for the media welfare state primarily can be explained by political attitudes, where left-leaning and GAL-oriented individuals are more positive than people holding right-wing and TAN-attitudes.
Effect of light and feed density on ingestion rate, protein and lipid content of Artemia franciscana juveniles

Artemia franciscana is one of the most used organisms as live food to larvae of different marine species, so it is important to determine the appropriate food ration to improve its biochemical composition and maintain the nutritional stability of the Artemia . Furthermore, even though light is important in newly hatched nauplii, its effect in the late stages of Artemia have been poorly studied. This study aimed to evaluate the effect of food density ( Chaetoceros muelleri microalgae) on the ingestion rate, protein, and lipid content of A. franciscana juveniles exposed and unexposed to light during 6 h. The experiment evaluated six treatments, resulting from combining three densities of C. muelleri as a food: 600,000, 900,000, and 1,200,000 cell mL -1 and two illumination conditions: exposed and unexposed to the light. The ingestion rate was evaluated at 3 and 6 h, while protein and lipid content at the end of the experiment. The highest ingestion rates were observed in the treatment of 900,000 cell mL -1 exposed to light at 3 h (253,118 cell ind -1 h -1 ) and unexposed to light at 6 h (164,712 cell ind -1 h -1 ). At the same time, the highest content of lipid (13.52 μg ind -1 ) and proteins (38.28 μg ind -1 ) per organism was obtained with the treatment of 900,000 cell mL -1 unexposed to light. There was an interaction between cell density and light since both factors influenced the results of the ingestion rate and lipid content of the juveniles of A. franciscana .
Development of prototype fiber-optic-based Fizeau pressure sensors with temperature compensation and signal recovery by coherence reading

A range of prototype fiber-optic-based Fizeau interferometric pressure sensors with temperature compensation and signal recovery by dual-wavelength coherence reading have been developed. A separate fiber-optic-based Fizeau temperature sensor with similar cavity length was incorporated into the pressure sensor to allow the pressure measurement to be corrected for the temperature dependence of the pressure probe. The pressure and temperature probes were multiplexed spatially. For the low-pressure sensor, the obtained range to resolution ratio and the accuracy were /spl sim/6.7/spl times/10/sup 3/:1 and better than /spl plusmn/1 percent over a pressure range of 0-0.48 bar, respectively. For the medium pressure sensor, the achieved range to resolution ratio and the overall accuracy were 3.6/spl times/10/sup 4/:1 and /spl plusmn/0.15 percent over a full-pressure range of /spl sim/10 bar. For the high pressure sensor, a range to resolute ratio of /spl sim/1.67/spl times/10/sup 4/:1 and an overall measurement accuracy of /spl plusmn/0.69 percent over a pressure range of /spl sim/1000 bar have been achieved. Due to the universality of the signal-processing scheme based on the dual-wavelength coherence-reading technique, the signal-processing box can be compatible with a range of sensors illuminated by the sources with similar central wavelengths. This study would be readily used to develop a range of commercial fiber-optic pressure sensors with similar optical path differences, interrogated by a universal signal-processing box, for different applications. >
Transaction attributes and buyer-supplier relationships in AMT acquisition and implementation: the case of Malaysia

This paper explores how transaction attributes of technology affect differences in the relationship between technology buyers and suppliers. It also examines the impact on performance of different patterns of relationship between technology buyers and suppliers. Data obtained from 147 manufacturing firms in Malaysia are used to test several hypotheses, which were derived from a review of the literature on technology, transaction cost theory and buyer–supplier relationships (BSR). The research results indicate that the higher the level of technological complexity, specificity and uncertainty, the more firms are likely to engage in a closer relationship with technology suppliers. Even though the majority of firms reported improvements in their performance, results indicate that firms demonstrating a closer relationship with technology suppliers are more likely to achieve higher levels of performance than those that do not. It is also shown that with high levels of transaction attribute, implementation performance suffers more when firms have weak relationships with technology suppliers than with moderate and low levels of transaction attribute.