Miracle-dz/UniFAR-FTUs huggingface dataset:
A Stepwise Model of Customer Experience Management for Iranian ICT Sector

Knowing and managing the concept of customer experience is the main factor in creating competitiveness for any organization. Moreover, without customer experience management, a business cannot specify appropriate strategies to maintain the current market and business sustainability. However, most of the existing studies have looked at this subject abstractly and have not provided a comprehensive model based on steps taken in the customer journey. This research aims to fill the gap by providing the body of knowledge with a comprehensive model for customer experience management, where the stepwise nature of the concept is maintained. Using a grounded theory (GT) strategy, 20 experts in the Iranian IT sector took part in this study. Data gathered using an interview protocol that was made based on reviewing the existing literature. Both reliability (Inter-coder rating) and validity (face and content validity) measures for the data gathering tool were obtained. Three coding approaches of grounded theory (open, axial, and selective coding) were applied to analyze the data. This study introduced a stepwise model of customer management experience through the customer journey steps. The model also contains the prerequisites conditions to realize the customer experience in the IT sector and reveals the contextual factors affecting the process and finally the consequences of applying the model.
Validation of Training Efficacy through Analogical Transfer between Expert Knowledge Representations and Training Environment Representations

Thirty-four Air Force aircrew personnel were tested at Air Force Special Operations Command on their identification of surface-to-air missiles (SAMs). Several types of SAMs were simulated and presented to participants using a state-of-the-art training system incorporating high-fidelity terrain and voice recognition. The SAM simulations were driven by perceptual visual models and flight behavioral models. Participants identified the model of SAM, and the accuracy of trajectory (whether or not the SAM would hit their simulated aircraft). Participants were assigned to either a novice group (no combat experience) or expert group (combat experience in either the Kosovo or Iraqi air campaigns). The experts outperformed the novices, demonstrating the importance of developing simulation trainers based on perceptual and cognitive principles, and the importance of empirical validation of those principles by experts.
Processing Techniques for Nadir Echo Suppression in Staggered Synthetic Aperture Radar

Synthetic aperture radar (SAR) is a class of high-resolution imaging radar particularly suitable for satellite remote sensing with diverse applications, such as biomass and ice monitoring, generation of digital elevation models, and measuring of subsidence. Staggered SAR is a novel mode of operation under consideration for the next-generation SAR missions such as Tandem-L and NASA-ISRO SAR. It uses digital beamforming and a continuous variation of the pulse repetition interval (PRI) to achieve high azimuth resolution over a much wider, continuous swath than is traditionally possible. This PRI variation renders infeasible use of existing methods to avoid nadir echoes, which might impair the quality of staggered SAR images. This work proposes processing techniques that mitigate the impact of nadir echoes in staggered SAR through localization and thresholding-and-blanking of these echoes in range-compressed data and recovery of part of the underlying useful signal through interpolation. The performance of these processing techniques is evaluated through simulations using real TerraSAR-X data. The proposed technique can be implemented as an optional stage in the processing chain of future staggered SAR missions and leads to improved image quality at a reasonable additional computational cost.
Detection and Estimation of Natural Gas Leakage Using UAV by Machine Learning Algorithms

Presently, unmanned aerial vehicles (UAVs) have a broad spectrum of applications, in which regular monitoring of critical infrastructure assets is an important risk mitigation usage. This paper presents a novel approach for modeling leakage from natural gas pipelines using machine learning algorithms operating on the gas leakage detection (Methane) data collected using an UAV having a gas sensor and a light detecting and ranging (LiDAR) payload. The detection system has a lightweight design along with a small form factor to ensure compatibility with most autonomous mobile platforms like UAVs or wheeled robots. Two experiments were conducted to collect the gas leakage detection data at various loitering heights in real atmospheric conditions before applying the estimation algorithms. The first experiment measured natural gas leakage data in varying loitering radiuses and altitudes for leakage pressures around one pound per square inch (PSI), while the second experiment did the same for leakage pressures around two PSI. Real atmospheric conditions were incorporated along with additional aspects of propeller down-wash and environmental air movements that can influence leakage detection. Two estimation algorithms, viz., reduced support vector machine (RSVM) and artificial neural network (ANN) were applied to the leakage data collected from the UAV experiments. It was found that the ANN approach resulted in more faster and accurate detection than RSVM that heavily depended on the kernel function for its performance. The efficacy of leakage detection of natural gas using a UAV payload was demonstrated, which is a faster and cost-effective alternative to the manual inspection process.
Expertise and Aging in Pilot Communication: The Role of Environmental Support

We examined whether expertise reduced age differences on a pilot communication task. Young, middle-aged, and older pilots, and nonpilots of similar age and general cognitive ability, listened to recorded ATC messages that described a route through an airspace, while referring to a map of the airspace. They read back the ATC instructions (e.g., to change heading) and then answered a probe question about the aircraft's position. Morrow et al. (1999) used a similar procedure and did not find that expertise reduced age differences in readback accuracy. In the present study, participants were also allowed to take notes while listening to the messages. Contrary to the earlier study, pilots' readbacks were virtually perfect regardless of age, while readback accuracy declined with age for nonpilots. Note-taking may have provided environmental support that reduced working memory demands imposed by the communication task, which differentially benefitted older pilots. This suggests that cognitive aids such as note-taking is an important part of pilots' expertise.
RWKNN: A Modified WKNN Algorithm Specific for the Indoor Localization Problem

This paper proposes a restricted weighted ${k}$ -nearest neighbor algorithm (RWKNN) specific for indoor environments. The traditional WKNN method determines the locations by calculating the difference between the current received signal strength (RSS) and fingerprint RSS. However, the limitations of the traditional WKNN positioning method include RSS instability and spatial ambiguity. With this focus, the proposed RWKNN considers indoor moving constraints and uses searching rectangular and trajectory restriction to reduce spatial ambiguity. In addition, to mitigate the effects of RSS instability on the iteration-based method, a confidence number is introduced. Through simulation of office environments, field experiments, and verification based on public datasets, numerical results show the superiority and effectiveness of the proposed RWKNN over other constraint-based algorithms in terms of robustness and accuracy. Specifically, RWKNN outperformed the traditional WKNN method by 43% and 20% in the simulation and field experiment tests respectively, and by 22% on the Tampere open dataset.
Isotopic Characterization of Rainwater for the Development of a Local Meteoric Water Line in an Arid Climate: The Case of the Wadi Ziz Watershed (South-Eastern Morocco)

For any hydrological or hydrogeological system, the arrival of new rains is the input signal to the system. This isotopic signature of precipitation is of major interest in understanding the recharge processes of the aquifer system. On the scale of a given basin, staged stations at different altitudes and spread out in space allow this input signal to be well characterized and to draw the local meteoric water line. In south-eastern Morocco, specifically, in the Errachidia region, several chemical and isotopic studies of the waters of the various aquifers have been carried out. In the absence of a local meteoric water line, these studies were based on the use of the global meteoric water line (GMWL). Thus, the objective of this work is the isotopic characterization and the elaboration of the local meteoric water line of the rainwater of the Ziz watershed. This characterization of the input signal in the study area is based on 41 measurements of stable isotopes (δ18O and δ2H) relating to the precipitations collected during the period from December 2019 to November 2020 in four staged stations at different altitudes and spread over the space from upstream to downstream of the watershed. The linear relationship of δ2H as a function of δ18O describes the local meteoric water line (LMWL) by equation δ2H = 7.5 ± 0.3 δ18O + 4.6 ± 1.7; R2 = 0.93. This equation displays evaporation confirmed by the arrival of continental currents in an arid environment. The variation in precipitation δ18O as a function of the sampling altitudes for the rains highlighted the relationship δ18O = −0.0026 ∗ Z − 1.67, with R2 = 0.93, which means an altitudinal gradient of −0.26‰ per 100 m of altitude. In this regard, the development of the local meteoric water line and the determination of the altitudinal gradient for the first time in this arid to semi-arid region of the watershed will be of great use to researchers and water resource managers; for example, to help determine the groundwater recharge areas, determine the exchanges between surface water and groundwater, and analyze many other hydrological problems.
The European Union Emissions Trading System : should we throw the flagship out with the bathwater ?

The European Union Emissions Trading System : should we throw the flagship out with the bathwater ? / Frederic Branger, Oskar Lecuyer, Philippe Quirion. Paris : CIRED, July 2013, 20 p. (DT/WP No 2013-48) http://www.centre-cired.fr/IMG/pdf/CIREDWP-201348.pdf Authors’s abstract : The European Union Emissions Trading System (EU-ETS), presented as the ``flagship’’ of European climate policy, is subject to many criticisms from different stakeholders. Criticisms include the insufficient carbon emi.
Power Test of the First Two HL-LHC Insertion Quadrupole Magnets Built at CERN

The High-Luminosity project (HL-LHC) of the CERN Large Hadron Collider (LHC), requires low <inline-formula><tex-math notation="LaTeX">$\beta$</tex-math></inline-formula>* quadrupole magnets in Nb <inline-formula><tex-math notation="LaTeX">$_\text{3}$</tex-math></inline-formula>Sn technology that will be installed on each side of the ATLAS and CMS experiments. After a successful short-model magnet manufacture and test campaign, the project has advanced with the production, assembly, and test of full-size 7.15-m-long magnets. In the last two years, two CERN-built prototypes (MQXFBP1 and MQXFBP2) have been tested and magnetically measured at the CERN SM18 test facility. These are the longest accelerator magnets based on Nb <inline-formula><tex-math notation="LaTeX">$_\text{3}$</tex-math></inline-formula>Sn technology built and tested to date. In this paper, we present the test and analysis results of these two magnets, with emphasis on quenches and training, voltage-current measurements and the quench localization with voltage taps and a new quench antenna.
Pulsating Cooling System for High Pressure Turbine Blades

High pressure turbine blades are internally cooled because of their exposition to high temperature gas ow, directly discharged from the combustion chamber. Recent research concludes that cooling e ectiveness could be improved using pulsating jets, instead of the conventional continuous coolant blowing. An experimental campaign has been carried out to gain insight a procedure to generate discontinuous trailing edge cooling. A scaled model of a real cooled HP inlet guide vane, heavily instrumented for aerodynamic performance was used for the experiments. The pulsating coolant jet was delievered by a rotating valve. This device consists of a perforated disk driven by an electrical engine. The disk rotates between two pipes inside a con ned space, acting like a shutter, interrupting the ow and creating a non-continuous stream of air. The performance measurements of the trailing edge pulsating system reveals a broad range of mass ows. The study is completed with simpli ed numerical modelling, which allowed to extend the conditions experimentally tested above the practical limits of the setup.
Fibrewise totally separation axioms

Abstract The purpose of this paper is to introduce and study fiberwise totally separation axioms which are generlization of separation axioms in ordinary topology called fibrewise totally T 0, (resp., T 1, R 0, Hausdorff, functionally Hausdorff, regular, completely regular, normal, and functionally normal) spaces. Also we give several propositions and examples concerning it.
Effects of Integrated Fuzzy Logic PID Controller on Satellite Antenna Tracking System

An electrical device that transforms the electricity into the waves of radio and vice versa is termed the antenna. Its main deployment is in the transmitter and receiver of the antenna. While transmission, the transmitter of radio at the extremities of the antenna furnishes the electricity which oscillates at the frequency of radio wave and energy is released as current as em waves. Some of the voltage is formed from the em wave that is invaded at the point of receiving to amplify the receiver. This study focuses on the analysis of the satellite system to aid in mobile antenna tracking. It also examines the techniques for fuzzy control which make up traditional networks that are used. Initially, a basic idea of tracking loops with stabilized antennas was suggested in light of the requirement for the margin of phase and bandwidth. If the gain of the track is reduced due to changes in attributes and throughput, it will be reduced. In addition, fuzzy regulators and PID constituents are used to enhance the loop. The results indicate that the higher and lower antenna tracking gains within the loop were the best fit and the loop's fluctuations are reduced. A controller based on fuzzy logic can be most efficient due to its simplicity and robustness. It is also discovered that fuzzy logic controllers are evaluated by their behavior in relation. This paper presents an evaluation of the controllers in fuzzy logic, which is based on its integration with conventional controllers. There are three gains in PID's regulator PID and every gain can be used to control the variables of inputs and outcomes. The effects of the responses were analyzed and were compared. The commonality was discovered in the results according to the increase in time for II/6 and II/3 based on PID's regulator PID stability, it can be improved by this system, and there is a reduction in the duration of stability. Furthermore, the period of stability may be reduced through the fusion of PID and fuzzy. The effectiveness of the system could be enhanced by the implementation of the neural network. It is also possible to design the two types of control that could be used to control the proposed solid platform.
Mars precision landing guidance based on model predictive control approach

A precision landing guidance design for the Mars powered descent phase is proposed based on model predictive control (MPC) approach. Dynamics model used for the formulation are convexificated and linearized to adopt the convex optimization technique, which has been suggested by researchers of Jet Propulsion Laboratory. To employ the receding horizon frame and reduce the number of control inputs, the convex optimization problem is augmented with Laguerre functions. To represent the minimum fuel consumption or minimum landing error precisely unlike the optimal control theory, new cost function is designed by combining them with weighting factors. Moreover, the stability of the proposed guidance design for the independent control inputs calculated from each time step is verified by using Lyapunov stability analysis. Finally, numerical simulations are conducted to examine the suggested guidance formulation and to compare the performance with an optimal solution.
SIW Filter With Adjustable Number of Passbands Using Assembled Multimode Resonant PCBs

A novel substrate integrated waveguide (SIW) bandpass filter (BPF) with adjustable number of passbands based on assembled multimode resonant printed circuit boards (PCBs) is proposed in this brief, for the first time. Three independent PCBs with perturbed TE102 and TE201 modes are designed to realize the high-selective filtering response with desired different number of passbands. Particularly, single-, dual- and triple-band responses can be adjusted by using one layer, two layers and three layers of PCBs, respectively. A prototype is simulated and measured to verify the proposed method.
Improving the Dynamic Response during Field Weakening Control of IPMSM Drive System using Adaptive Hysteresis Current Control Technique

Abstract This paper presents the control of IPMSM drive in flux weakening region, for high speed applications. An adaptive hysteresis band current controller has been designed and implemented in this work to overcome the drawbacks which are present in case of conventional hysteresis band current controllers such as: high torque ripple, more current error, large variation in switching frequency etc. The proposed current controller is a hysteresis controller in which the hysteresis band is programmed as a function of variation of motor speed and load current. Any variation in those parameters causes an appropriate change in the band which in turns reduces the torque ripple as well as current error of the machine. The proposed scheme is modeled and tested in the MATLAB-Simulink environment for the effectiveness of the study. Further, the result is validated experimentally by using TMS320F2812 digital signal processor.
A C-Battery Scale Energy Harvester: Part A — System Dynamics

In recent years, the development of small and low power electronics has led to the deployment of Wireless Sensor Networks (WSNs) that are largely used in military and civil applications. Vibrational energy harvesting can be used to power these sensors in order to obviate the costs of battery replacement. Vibrational energy harvesters (VEHs) are devices that convert the kinetic energy present in the ambient into electrical energy using three principal transduction mechanisms: piezoelectric, electromagnetic or electrostatic. The investigation presented in this paper specifically aims to realize a device that converts vibrations from different ambient sources to electrical energy for powering autonomous wireless sensors. A “C-battery” scale (25.5 mm diameter by 57.45 mm long, 29.340 cm3) two Degree-of-Freedom (2-DoF) nonlinear electromagnetic energy harvester, which employs velocity amplification, is presented in this paper. Velocity amplification is achieved through sequential collisions between two free-moving masses, a primary (larger) and a secondary (smaller) mass. The nonlinearities are due to the use of multiple masses and the use of magnetic springs between the primary mass and the housing, and between the primary and secondary masses. Part A of this paper presents a detailed experimental characterization of the system dynamics, while Part B describes the design and verification of the magnet/coil interaction for optimum prototype power output. The harvester is characterized experimentally under sinusoidal excitation for different geometrical configurations and also under the excitation of an air-compressor. The maximum output power generated under sinusoidal excitation of arms = 0.4 g is 1.74 mW across a resistive load of 9975 Ω, while the output rms voltage is 4.2 V. Under the excitation of the compressor, the maximum peak power across a load resistance of 8660 Ω is 1.37 mW, while the average power is 85.5 μW. Copyright © 2015 by ASME
Changes in rhizosphere-specific enzyme activity during secondary grassland succession in the Loess Plateau, China

ABSTRACT Dynamics of soil enzyme activity during plant restoration processes have been studied extensively; however, a general understanding of the rhizosphere-specific enzyme activity during plant secondary succession is limited. Rhizosphere samples were collected from the dominant and main companion species in farmlands abandoned for up to 32 years in the Loess Plateau. We determined soil chemical properties, phospholipid fatty acid (PLFA) profiles and activities of four enzymes (β-1,4-glucosidase, BG; β-1,4-N-acetylglucosaminidase, NAG; L-leucine aminopeptidase, LAP and alkaline phosphatase, AP), specific enzyme activity per soil organic carbon (SOC) and per PLFA unit. Specific BG, NAG, LAP and AP activities per SOC unit significantly decreased 77.1%, 53.2%, 83.0% and 49.2% with plant succession. Specific BG, NAG and LAP activities per PLFA unit significantly decreased 59.6%, 18.9% and 70.9% with plant succession. Furthermore, specific BG and LAP activities in the dominant species were lower than those in the companion species. Redundancy analysis revealed that variations in specific enzyme activities per SOC and per PLFA unit were explained 76.6% and 68.6% by soil chemical properties. SOC, total nitrogen (TN) and available phosphorus (aP) significantly influenced the rhizosphere-specific enzyme activities. This study improved the understanding of the element cycle at the root–soil interface under secondary succession ecosystems.
Low-torque ripple design of a ferrite-assisted synchronous reluctance motor

This study illustrates the design of a low-torque ripple ferrite-assisted synchronous reluctance machine. The design strategy initially adopts a simplified analytical model in order to select the optimal values for the flux barrier angles that mainly affects the torque ripple. Then, synchronous reluctance rotor geometries selected on the basis of analytical results are analysed by finite elements (FEs) simulations. The simulated geometries are provided by ferrite permanent magnets (PMs) to enhance machine performance. The optimisation steps are properly coordinated in order to realise the maximum reduction of the torque ripple, taking into account the PM quantity and the flux barrier shape as well as the demagnetisation risk. Two optimal rotor geometries are presented and compared in terms of torque ripple by FEs simulations. Then, the comparison have been extended to other machine characteristics (as high-frequency saliency and demagnetisation tolerance) to the aim of selecting the more promising one. Available measurements on prototypes are reported to confirm the simulation results and the design approach.