Miracle-dz/UniFAR-FTUs huggingface dataset:
Scaling of Performance, Weight, and Actuation of a 2-D Compliant Cellular Frame Structure for a Morphing Wing

A typical mission profile for a fixed-wing aircraft consists of several idealized phases: takeoff, climb, cruise, dash, loiter, descent, and landing. Corresponding to each phase of flight and associated weight is a specific wing configuration that yields optimal performance. Conventional aircraft employ a single fixed structure (with movable control surfaces), one that is necessarily a compromise. Morphing structures technology provides the possibility of making large global changes to the wing shape, ideally enabling optimum performance over a larger range of flight conditions. Although structural and actuator weights necessarily increase with morphing capability, overall performance gains can offset these subsystem weight increases with fuel savings or by enabling new aircraft missions. A 2-D compliant cellular truss structure was designed to replace the fixed internal structure of a wing; this structure is able to achieve large changes in span and thus planform area and aspect ratio. The capability of this design was determined for aircraft of varying scale. At RC model scale, approximately 0.5—5 kg (1—10 lb), the wing structure is capable of an 85% decrease in the planform area with a structural weight of 2.9% of the gross weight. As the gross weight of the aircraft increases, the achievable span reduction decreases while the structural weight fraction increases. For 50 and 500 kg (100 and 1000 lb) aircraft, the decrease in planform area is 74% and 48%, respectively. At 50 kg (100 lb), the wing structure comprises 7.4% of the gross weight, while at 500 kg (1000 lb), this increases to 8.9%. The difference between the weight of the morphing structure and a similar passive structure is a weight penalty: the trade-off required for the ability to morph. Actuation systems, including a single actuator and a system of parallel actuators, were also considered for their ability to deform the structure. The weight fraction of the actuators required to deform the structure was found to increase with increasing gross weight. A system of parallel actuators was found to have a significant advantage over a single actuator, especially at higher gross weights. The benefit of morphing increases with gross weight but structural morphing capability decreases with gross weight. This suggests, for a given structural paradigm, that there is a gross weight for which morphing is most advantageous and practical.
Current signature analysis to detect induction motor faults

Three-phase induction motors are the "workhorses" of industry and are the most widely used electrical machines. In an industrialized nation, they can typically consume between 40 to 50% of all the generated capacity of that country. This article focuses on the industrial application of motor current signature analysis (MCSA) to diagnose faults in three-phase induction motor drives. MCSA is a noninvasive, online monitoring technique for the diagnosis of problems in induction motors. Reliability-based maintenance (RBM) and condition-based maintenance (CBM) strategies are now widely used by industry, and health monitoring of electrical drives is a major feature in such programs.
Effect of updated data base and improved analysis on performance of radioisotope thermophotovoltaic converter

Previous analyses of RTPV space power systems published by the authors were based on a number of approximations employed to permit early dissemination of preliminary results pending availability of fuller experimental data needed to conduct more rigorous analyses. The shortcomings of the previously published analyses are addressed in the paper, which describes revised analyses based on experimental data of IR filter reflectivities and PV cell quantum efficiencies and current-voltage characteristics. The paper applies the revised test data and analyses to an illustrative converter design, using an OSC-generated computer program that also includes the effect of shadowing and ohmic losses by the cell's optimized grid lines, the use of accurate active-area fractions representing detailed converter designs, and the reduction in the required heat source-to-emitter heat flux due to radiation reflected by the inactive filter area and absorbed by the emitter. It details the effect of each analytical change on the converter's performance. The analytical results confirm that EDTEK's improved filters have greatly enhanced the performance of the RTPV generator. They also demonstrate that accurate accounting for the effect of reflection from the inactive filter area and absorption by the emitter results in a significant performance improvement. But they show that these improvements are not large enough to compensate for the adverse effect of replacing the previously used theoretical equations for the converter's open-circuit voltage and fill factor with measured values of those parameters achieved to date.
Motivational Factors Impacting the Productivity of Construction Master Craftsmen in Kuwait

AbstractIn today’s global economic conditions, improving the productivity of the construction industry is becoming more pressing than ever. Several factors impact the efficiency of construction operatives, but motivation is among the most important. Since low productivity is one of the significant challenges facing the construction industry in the State of Kuwait, the objective of this case study is to identify, explore, and rank the relative importance of the factors perceived to impact the motivational level of master craftsmen involved in primary construction trades. To achieve this objective, a structured questionnaire survey comprising 23 factors, which were shortlisted based on relevant previous research on motivation, the input of local industry experts, and numerous interviews with skilled operatives, was distributed to a large number of master craftsmen. Using a relative importance index technique, the following prominent factors are identified: (1) payment delay; (2) rework; (3) lack of a financ.
An Architectural Framework for Nation States in Support of Peace-Building Operations

The complex, adaptive environment that government organizations, international partners, and non-government organizations must operate within requires an understanding of the conditions that exist in the partner nation to make smart investments in peace building. The social, governance, and economic implications of these investments in the partner nation and the resulting effects can often lead to unforeseen second- or third-order effects. These complex qualitative assessment schemes and analysis based on a single modeling approach have had limited success. The use of multiple models creates challenges of information management, consistency, and traceability. In addition, there is the challenge of analyzing stakeholder goals and their validity. The authors advocate application of an architecture framework and model-based systems engineering (MBSE) tools and techniques to manage the information and to model the complexities in peace operation capability development decisions. This brings a powerful set of tools to support development and decomposition of stakeholder goals into specific requirements with quantitative measures of performance. Though developed mainly for peace-building operations, this framework can find utility in other resource or policy issues. MBSE provides the tools to support this difficult analysis, and the proposed framework drives consistency and completeness by considering all necessary points of view.
Study and Design of Lawn Brush Cutter

Based on the survey of existing brush cutter and the analysis of the known conditions, this paper mainly studied design mechanism and principle of brush cutter, and carried on calculation and calibration of spiral bevel gear cutting machine parts, so as to ensure that the design of brush cutter is safe, efficient, simple, comfortable and environmentally friendly. Product after research is of reliable performance, convenient operation, low noise and zero smoke and higher safety factor, making it get more extensive application in the industry.
Reduced Order Multi-Legged Mathematical Modeling of Cockroach Locomotion on Inclines

approved: David P. Cann While the locomotion performance of legged robots over flat terrain or known obstacles has improved over the past few decades, they have yet to equal the performance of their animal counterparts over variable terrain. This work analyzes a multi-legged reduced order model of cockroach locomotion on variable slopes which will be used as an inspiration for a future sprawled posture legged robot. The cockroach is modeled as a point mass, and each leg of the cockroach is modeled as a massless, tangentially rigid, linearly elastic spring attached at the center of mass. All of the springs are actuated to allow changes in energy to the system. This is accomplished by varying the force free length of each leg in a feed-forward manner without reliance on feedback to change the actuation scheme. Fixed points of the model are found using a numerical solver that varies the velocity and phase shift parameters while leaving all other parameters at fixed values selected to match true cockroach motion. Each fixed point is checked for stability and robustness representing how effective the model is at staying on the predetermined gait, and transport cost as a measure of how efficient this gait is. Stable and robust fixed points were successfully found for the range of heading angles encompassing those of representative cockroach motion at each slope. Cockroaches may select the gait used based on stability or efficiency. Thus, additional fixed points were found in combination with a search routine that varies the leg actuation parameters in order to optimize either stability or metabolic efficiency, gaining insights into why cockroaches use the gaits that they do. Optimized fixed points were found based on four different leg functional combination families depending on whether each leg pushes or pulls. Optimized fixed point gaits exist for every incline slope studied between level ground and vertical slopes, at a range of initial heading angles that encompass those typically used by cockroaches. The selected gaits using both a stability based and an efficiency based optimization on the modeled cockroach are very similar. Both are also similar to gaits used by real cockroaches. The forces generated by the model are qualitatively similar to the experimental forces. c ©Copyright by Delvin E. Peterson July 11, 2011 All Rights Reserved Reduced Order Multi-Legged Mathematical Modeling of Cockroach Locomotion on Inclines
Optimising Real-Time Performance of Genetic Algorithm Clustering Method

This paper presents the optimisation of real-time performance of the genetic algorithm clustering method. This performance optimisation concerns the population diversity and limitation and is based on actual runtime of the algorithm. A real-time ticker is incorporated into the algorithm for actual runtime measurement. For population diversity and limitation, a controlled k-means analysis is performed on the population of solutions to determine its diversity. Achieving a less diverse population in less amount of time without sacrificing the accuracy of the algorithm will help reduce the time-complexity of the algorithm, thus opening up the potential for the algorithm to cluster data in higher dimensions. Results from this study will be used for improving the method of clustering fatigue damage features of automotive components using genetic algorithm based methods.
The Keins Database on Academic Inventors: Methodology and Contents

The paper describes the methodogy used to build a database on academic inventors from France, Italy, and Sweden (1978-2004), which was delivered to the European Commission as part of the KEINS project (Knowledge-Based Entrepreneurship: Innovation, Networks and Systems), and will provide the basis for future publications. It provides an overview of the database contents, as well as information on access rules and on related datasets by CESPRI-Universita Bocconi. The database is the result of joint efforts by CESPRI-Universita Bocconi (Milan, IT), BETA – Universite “Louis Pasteur” (Strasbourg, FR), IMIT-Chalmers University (Gotheborg, SE), Umea Universitet (SE), and Universita degli studi di Brescia (IT).
Improved Inspection of Facilities for High‐Voltage Class Using Data Mining

The inspection of power supply facilities can now be conducted with high accuracy using remote monitoring technology. In contrast, it is difficult to install sensors at demand facilities because their scale and installation environment differ among customers. As a result, the demand facilities are inspected at fixed time intervals. In this paper, we propose condition‐based maintenance (CBM), which improves maintenance quality at demand facilities. The proposed method was developed using maintenance data from demand facilities, collected using time‐based maintenance, and we conduct the analysis primarily using failure data. We use data mining to analyze transaction data that we modeled on the basis of the maintenance data and to construct a “failure predictive model” that can predict the failure of facilities and its causes from the results of the analysis. By using the constructed model, we will be able to identify the objects requiring maintenance which may most likely lead to failures in the future, and this study can contribute to improvement of maintenance technologies for demand facilities using the proposed CBM.
58.1: Limitation of Liquid Crystal on Silicon Spatial Light Modulator for Holographic Three‐dimensional Displays

In 3‐D display system based on opto‐electronic reconstruction of digitally recorded hologram, the field of view of such a system is limited by the spatial resolution of the liquid crystal on silicon (LCOS) spatial light modulator (SLM) used to perform the opto‐electronic reconstruction. In this article, the spatial resolution limitation of LCOS SLM associated with fringe field effect and interpixel coupling is determined by liquid crystal director simulation and Finite Difference Time Domain (FDTD) simulation. The diffraction efficiency loss associates with the imperfection in phase profile is studied with an example of opto‐electronic reconstruction of an amplitude object. A high spatial resolution LCoS SLM with wide reconstruction angle is proposed.
An Advanced Current Control Strategy Using Controlled Technique for Three-Phase Shunt Active Filters

This paper presents detailed analysis to compare and promote the performance of two control schemes for extracting reference currents of shunt active power filter under unbalanced voltage condition by using PI controller. An instantaneous active and reactive current component (id-iq) method and an instantaneous active and reactive power (p-q) method are two control schemes which are widely used in active filters. A shunt active power filter based on the instantaneous active and reactive current component method is proposed. This method purposes to compensate harmonic and first harmonic unbalance. Two methods are completely frequency independent. The simulations are carried out with PI controller for the control strategies for different voltage condition. Under unbalanced voltage condition it is found that the instantaneous active and reactive current component has a better harmonic compensation performance
Sociophysics of income distributions modeled by deformed fermi-dirac distributions

ABSTRACT In order to model the income data, the physical distributions of Fermi-Dirac and Bose-Einstein families have already been proposed in the literature. In this study, we generalize Fermi-Dirac distribution by using a q,p-deformed version of Fermi-Dirac distribution which provides the advantage of working with flexible free q, p deformation parameters as the regression parameters for modeling the income data. We analyze the accuracy of the generalized version, q,p-deformed Fermi-Dirac distribution, on describing the data of income share held by quintiles for countries, and household income for the states of U.S.A. in 2018. We also use minimization routine for modeling the data which leads to the best fit parameters for the deformation parameters q and p. Subsequently, we plot the fitted q,p-deformed Fermi-Dirac distribution as income distribution with the obtained deformation parameters, then find the statistical confidence values from the fitted curve. We figure out that our model properly describes the income data for the systems experiencing a high level of income inequality, and also values are correlated with the Gini index for those of considered systems.
Absolute calibration of the continuum x-ray spectrometer (ConSpec) at the National Ignition Facility

We present the absolute calibration of the continuum x-ray spectrometer (ConSpec), designed to measure the hot-spot electron temperature of inertial confinement fusion (ICF) implosions at the National Ignition Facility (NIF). The spectrometer measures emission from photon energies of 20 to 30 keV where opacity effects in ICF implosions at the NIF are negligible and provides spatial resolution to separate the hot-spot emission from other x-ray sources, such as the gold emission from the hohlraum wall. Using a combination of x-ray ray tracing and calibration data taken using a well characterized x-ray source, we measure the dispersion, spatial resolution, and absolute sensitivity of the instrument. Finally, we present an example spectrum measured at the NIF and demonstrate the ability to measure the hot-spot electron temperature with uncertainty under 10%.
Systemic treatment of HER2-positive breast cancer patients with brain metastases: current status and exploratory case study in a Portuguese cohort

Over the last years, the incidence of brain metastases in HER2 breast cancer patients has increased. Surgery and radiotherapy are the current standard local therapies. Nevertheless, it is unclear which and when systemic treatment should be applied in addition to local treatment. This work aims to present an updated review of current systemic treatment options for patients with HER2+ metastatic breast cancer with brain metastases and to present a case study of clinical cases that occurred in a Portuguese population. The methodology of this work included a literature search in PubMed for the impact of HER2-targeting agents, such as pertuzumab, trastuzumab emtansine (T-DM1), lapatinib, neratinib, trastuzumab deruxtecan, and tucatinib in the treatment of patients with HER2+ breast cancer with brain metastases. Then, a cohort of Portuguese patients with HER2+ breast cancer (n=44) was analyzed. In this exploratory study, considering a follow-up of 23.9 months, three patients (6.8%) developed brain metastases despite having shown a complete pathological response. The role of systemic treatment for patients with HER2 breast cancer with brain metastases has rapidly evolved following recent successes in phase II and III clinical trials. The biggest challenge is how to integrate systemic and local treatment in the management of these patients.
Trust in automation. I: Theoretical issues in the study of trust and human intervention in automated systems

Abstract Today many systems are highly automated. The human operator's role in these systems is to supervise the automation and intervene to take manual control when necessary. The operator's choice of automatic or manual control has important consequences for system performance, and therefore it is important to understand and optimize this decision process. One important determinant of operators' choice of manual or automatic control may be their degree of trust in the automation. However, there have been no experimental tests of this hypothesis until recently, nor is there a model of human trust in machines to form a theoretical foundation for empirical studies. In this paper a model of human trust in machines is developed, taking models of trust between people as a starting point, and extending them to the human-machine relationship. The resulting model defines human trust in machines and specifies how trust changes with experience on a system, providing a framework for experimental research on trust a.
Study on Stress State of Low-Frequency Vibration Cutting Process Based on Finite Element Simulation

Proposed a concept, “cutting degree” as one of the parameters indicating the surface characteristics of the machined layer integrity. According to material nonlinearity, geometric nonlinearity, thermal coupling theory, established models of the vibratory cutting simulation, constitutive J-C model, shear model, boundary conditions, made finite element simulation of low-frequency vibration cutting by using software. Accessing to a visualization process, which is the change of material stress state in local area of the workpiece in cutting process. Analyzed the change of material stress states in local area of the workpiece, between low-frequency vibration cutting and non-vibration cutting machining process, other cutting parameters being equal. It is found that the values of cutting degree were apparently different in vibration cutting from those in non-vibration cutting. Contrasting experiments were done and SEM was observed of the machined surfaces. Findings of the experiment supported the simulation and to some extent validated the feasibility of the vision of 'cutting degree' as a term for expression of vibration cutting feature.
On Estimating the Cost Growth of Weapon Systems

Abstract : This paper documents schedule and cost growth in current major DoD weapon system acquisition programs that have attained Initial Operational Capability (IOC). Utilizing Selected Acquisition Report data, a methodology for projecting probable future growth in evolving systems that have not yet reached IOC was developed and described. Use of the growth projection methodology as an adjunct to future IDA weapon system analyses is recommended.
Four-arm robotic lung resection versus muscle-sparing mini-thoracotomy: retrospective experience.

Background Robotic surgery was introduced in the early 2000s but its use remains limited, particularly in thoracic surgery. Here we compare the first consecutive 185 four-arm robotic procedures carried out in our institution vs. muscle-sparing video-assisted mini-thoracotomy (MSMT), our previous minimally invasive approach for anatomical lung resection. Methods One hundred and eighty-five consecutive patients undergoing surgery using the four-arm robotic technique between February 2014 and December 2016 were compared to a control historical series of 136 consecutive patients undergoing surgery by MSMT in the same institution. The same senior surgeon performed all surgical procedures. Comparisons between the two groups were performed using the Chi2 test for qualitative data and the Wilcoxon, Mann-Whitney or Student's t-test for quantitative data. Results The demographic and clinical characteristics of the patients were similar in the two groups. In the robotic group, median (min-max) length of hospital stay (LOS) was significantly shorter (by 2 days) than in the MSMT group {7 days [3-63] vs. 9 days [5-63], respectively; P<0.0001}. The rate of complications was similar in the two groups, but the complications appeared to be less severe in patients undergoing robotic surgery (switch from Clavien-Dindo grade III and IV to grade II) although further studies are required to confirm this due to the large number of missing data. Conclusions In a senior thoracic surgery practice, the switch from a minimally invasive technique to robotic surgery was safe and beneficial in patients undergoing anatomical lung resection in terms of LOS and possible complication severity.