Miracle-dz/UniFAR-FTUs huggingface dataset:
Using an MQE chart based on a self-organizing map NN to monitor out-of-control signals in manufacturing processes

Control charts are recognized as one of the most important tools for statistical process control (SPC), used for monitoring any abnormal deviations in the state of manufacturing processes. However, the effectiveness of control charts is strictly dependent on statistical assumptions that in real applications are frequently violated. In contrast, neural networks (NNs) have excellent noise tolerance in real time, requiring no hypothesis on the statistical distribution of monitored processes. This feature makes NNs promising tools for quality control. In this paper, a self-organizing map (SOM)-based monitoring approach is proposed for enhancing the monitoring of processes. It is capable of providing a comprehensive and quantitative assessment value for the current process state, achieved by minimum quantization error (MQE) calculation. Based on MQE values over time series, a novel MQE chart is developed for monitoring process changes. The aim of this research is to analyse the performance of the MQE chart under the assumption that predictable abnormal patterns are not available. To this aim, the performance of the MQE chart in manufacturing processes (including non-correlated, auto-correlated and multivariate processes) is evaluated. The results indicate that the MQE chart may be a promising tool for quality control.
A video is worth a thousand thoughts: comparing a video mood induction procedure to an autobiographical recall technique

ABSTRACT Objective: Two common mood induction procedures (MIPs) use autobiographical recall (AR) or video clips. The first relies upon internal generation of mood states whereas the second presents external information to elicit emotion. Often new video clips are created for each experiment. However, no study has examined the efficacy and specificity of a freely available video clip compared to AR for use in other studies. Method: In the present experiment, participants watched either video clips or engaged in autobiographical recall to induce an emotional state. Participants were 53 University first year psychology students who took part for course credit. Results: The anger video clip was more effective compared to AR at increasing the target emotion (anger) and decreasing the non-target emotions - happiness and serenity. Compared to baseline both the video and AR anger scores were higher than sadness scores. Conclusion: The response to recalling personal events is more influenced by personality characteristics such as trait anger and neuroticism compared to the response to the video stimulus, which proved a cleaner stimulus. Implications for future research in both mood induction and media are discussed.
Klotho structure-function relationships in breast cancer

Hagai Ligumsky , Tami Rubinek, Keren Merenbakh-Lamin , Adva Yeheskel, Rotem Sertchook, Shiri Shahmoon , Sarit Aviel-Ronen and Ido Wolf 2 1 The Oncology Division, Tel Aviv Sourasky Medical Center, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. Bioinformatics Unit, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel; Bioinformatics and Biologial Computing Unit, Weizmann Institute of Science, Rehovot, Israel. Department of Pathology, Chaim Sheba Medical Center, Ramat Gan, Israel.
Factors affecting on customers’ satisfaction an empirical investigation of ATM service

The present empirical study focuses on identifying key factors that have influences customers satisfaction in ATM service provided by public and private sector banks. For the purpose of the study primary data were collected using schedule and collected data from March to November 2010. Results of factor analysis, correlation and regression analysis show that a cost effectiveness, easy to use and security and responsiveness in ATM service were most important factors in customer satisfaction.
Measurements of all complex permeability tensor components and the effective line widths of microwave ferrites using dielectric ring resonators

A method of measuring all the complex permeability tensor components of microwave ferrites using a single cylindrical ferrite sample is described. Two dielectric ring resonators having the same height and internal diameter but different external diameters, operating on HE/sub 111//sup +or-/ and H/sub 011/ modes respectively, are applied for these measurements. Permeability tensor components are computed from the measured resonant frequencies and Q factors of these resonators with and without the ferrite sample. Computations are based on the exact eigenvalue equations for these modes. Measurements of all permeability tensor components versus static magnetic field intensity, performed for different ferrite materials, generally confirm results obtained by earlier researchers, but they also contain certain aspects concerning relations between particular permeability tensor components below saturation. >
Average Population Density Estimation in Rail Transit Stations Based on Video Statistical Analysis

This article describes the use of the average population density estimation methods based on video statistical analysis, and mainly discussed the research and application of the air conditioning energy-efficient system in the subway. The distributed intelligent control system in the subway station platform captured video images by more than one camera sensors, according to the computer image processing methods, for example it have the unique advantages for the fuzzy neural network to model the human nervous system in fuzzy information processing. This article used the improved Meanshift algorithm based on pixel energy to capture the moving target in the video. This method can legitimately divide the crowd by achieving the image intelligent analysis data, and whats more, it can help to get the estimation of population density.
How do firms in strategic emerging industries influence their peers’ innovation strategies?

Abstract Drawing on signaling theory, peer effect, and the awareness-motivation-capability (AMC) framework, we examine the role of strategic emerging industries (SEI) firms in raising the awareness and motivation of non-SEI firms’ R&D activities, including gaining government R&D subsidies and adopting internal R&D investment, while considering the moderate effect of non-SEI firms’ capability factor. Based on the data of Chinese listed firms from SEI and non-SEI, the empirical results reveal that (a) the number of SEI firms funded by government R&D has an inverted U-shape relationship with the amount that non-SEI firms gain from government R&D subsidies, and has a positive relationship with the investment of non-SEI firms on internal R&D. (b) The financial performance of SEI firms funded by government R&D motivates non-SEI firms to gain government R&D subsidies and invest in internal R&D. (c) These relationships are strengthened by the relative scale of the non-SEI firms.
Computer modelling of the automotive energy requirements for internal combustion engine and battery electric-powered vehicles

In the paper the road vehicle simulation package Janus, developed in the Engineering Department at Durham University, is described. Janus is a flexible simulation package that allows internal combustion engine vehicles, electric vehicles and hybrid vehicles to be simulated, and their performance and energy consumption evaluated over standard driving cycles. The simulation techniques used in these programs are described and the simulation program shown to produce results comparable with experimental data.
Reliability and Stability Buffering Approach: Focusing on the Issues of Errors and Changes in Concurrent Design and Construction Projects

This paper proposes a new buffering approach, reliability and stability buffering, as a means to reduce uncertainty caused by errors and changes, in particular, when concurrent design and construction is applied to an infrastructure project. The proposed buffering provides a proactive mechanism to protect the planned performance of a project with a flexibly located and systemically sized buffer. For its implementation, the reliability and stability buffering is incorporated into a dynamic design and construction project model, which simulates the impacts of errors and changes on design and construction performance and evaluates the effectiveness of the proposed buffers. Applying this buffering approach into the infrastructure project in Massachusetts, this paper concludes that (1) the amount of hidden errors and latent changes was reduced; (2) the flexibly located and distributed buffers helped identify the predecessors’ errors and changes in concurrent design and construction; (3) the impacts of hidden e.
Novel dual‐mode patch band‐pass filters with slit structures

Novel microstrip band‐pass filters using dual‐node patch resonators with slit structures are proposed and optimized in this article.By using etched slit defected structures in the square patch resonator and in the circle patch resonator, the filters have remarkable advantages, such as compact size, high selectivity, and simple structure. The proposed band‐pass filters are fabricated and measured. The measured results prove to be largely consistent with the simulated results. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:1965–1968, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26941
GENERAL RESISTANCE TEST OF A STEPLESS PLANING HULL WITH APPLICATION TO A HYDROFOIL CONFIGURATION

Abstract : General resistance tests of TMB Model 4776, a transverse stepped planing hull, were conducted. The hull is the third model tested to determine suitability for use as a hydrofoil hull. Resistance, trimming moment, and wetted lengths were measured for several load, trim, and speed conditions. All data are presented in nondimensional form for use in comparing hull forms. The tests indicated that the model at high speed coefficients has low moment and resistance characteristics which would be advantageous to a hydrofoil configuration. Although instabilities due to spray and inadequate step ventilation were found, the trim conditions at which these instabilities occur can be avoided during the normal takeoff operation. (Author)
Deep Learning for Primary Sector Prediction in FR2 New Radio Systems

Millimeter wave communications technology is an essential component of the new radio (NR) standard for standalone 5G networks, i.e., frequency range 2 (FR2) bands. This technology provides contiguous bandwidth at the detriment of high path loss and blockage sensitivity. Hence beamforming architectures are leveraged to compensate for the channel impairments. However, beamforming introduces significant challenges in terms of initial beam access and beam adaptation requirements. Namely, the base station (BS) and mobile station (MS) are compelled to search the entire spatial directions to specify the pointing directions (optimum beamforming and combining vectors) that yield in the strongest impinged signal levels. This search process results in a high computational complexity, extended delay periods, high power consumption and energy inefficiency. Hence this paper proposes a novel sector (beam) prediction scheme that leverages the synergistic combination of convolutional neural networks (CNN) and long short-term memory (LSTM). The goal is to propose ultra-low access times for FR2-bsaed 5G networks, thus enhancing mmWave bands to operate independently as a standalone network without reliance on Frequency Range 1 (FR1) bands, e.g., dual-connectivity. The proposed scheme here predicts the primary sector with the highest popularity class at the BS, which is affiliated with the mostly used beamforming vector. This retrieves information about the sector locations with the highest MS traffic, thereby the BS can eliminate the spatial search over locations of scarce MS densities. Consequently, this process reduces the beam scanning search at the BS, while performing conventional search at the MS. The proposed scheme yields in reduced complexity and access times as compared to prominent existing methods.
Model-based task planning system for a space laboratory environment

This paper describes the design of a model-based autonomous planning system that will enable robots to manage a space-borne chemical laboratory. In a model-based planning system, knowledge is encapsulated in the Ibrm of models at the various layers to support the predefined system objectives. Thus the model-based approach can he considered as an extended planning paradigm which is able to base its planning, control, diagnosis, repair, and other activities on a variety of objectives-related models. We employ a System Entity Structure/Model Base framework to support autonoiious system design through the ability to generate a family of planning alternatives as well as to build hierarchical event-based control structures. The model base is a multi-level, multi-abstraction, and multiformalism system organized through the use ni system morphisms to integrate related models.
A summative assessment strategy for a multi-institutional, multi-task project: the case of the manufacturing engineering education partnership

In 1994, a unique partnership of universities Penn State, University of Washington and University of Puerto Rico at Mayaguez-in collaboration with Sandia National Laboratories, received funding from the ARPA Technology Reinvestment Program (TRP) to develop a new, practice-based curriculum and physical facilities for product realization and manufacturing. This initiative is named the Manufacturing Engineering Education Partnership and its overall outcome is the development at each participating institution of what we call The Learning Factory. This paper describes the project's summative assessment strategy being implemented project-wide that will allow interested parties to evaluate the project's performance and achievement of goals and objectives. It describes the project's four major tasks and deliverables, the assessment plan and its principal elements. It also presents the assessment schedule and the tools used for qualitative evaluation. The assessment scheme depicted in this paper could be used as a model for similar multi-institutional, multi-task projects.
A composed right/left‐handed waveguide with open‐ended corrugations for backward‐to‐forward leaky‐wave antenna application

A novel composed right/left‐handed (CRLH) rectangular waveguide (RWG) is presented. It is periodically loaded with open‐ended corrugations, which allow energy radiating from them. Compared with previously referred left‐handed (LH) waveguides, this proposed structure is more effective for leaky‐wave antennas (LWAs) design. To determine the dispersion property, an equivalent circuit is given. Based on the CRLH RWG, a LWA is achieved and analyzed by full wave simulation, which supports the backward‐to‐forward beam scanning by frequency above 7.45 GHz. The obtained propagation and radiation results are in good agreement with theoretical suggestions. © 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 50: 579–582, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.23162
Full-Duplex Massive MIMO Cellular Networks with Low Resolution ADC/DAC

In this paper, we provide an analytical framework for full-duplex (FD) massive multiple-input multiple-output (MIMO) cellular networks with low resolution analog-to-digital and digital-to-analog converters (ADCs and DACs). Matched filters are employed at the FD base stations (BSs) at the transmit and receive sides. For both reverse and forward links, our contributions are (1) derivations of the signal-to-quantization- plus-interference-and-noise ratio (SQINR) for general and special cases; (2) derivations of spectral efficiency for asymptotic cases as well as for power scaling laws; and (3) quantifying effects of quantization error, loopback self-interference, and inter-user interference for hexagonal cells and Poisson Point Process (PPP) tessellations on outage probability and spectral efficiency.
An explanation of some E-plane scan blindnesses in single-polarized tapered slot arrays

It has been found that a guided wave on a corrugated surface is a reasonably good predictor of some of the scan blindnesses observed in E-plane scan of tapered slot antenna arrays. The dependence of the blindness angle on the difference between array element spacing and thickness and its insensitivity to /spl epsi//sub r/ indicate that the metallization of the stripline antenna is the dominant factor in the blindness and not the dielectric substrate. The simple model presented here is, however, only a partial solution to the problem of predicting and eliminating scan blindnesses. It is noted that, in order to properly account for the loading effects of the periodic slots along the y direction, a moment method solution for the modes of such a structure should be developed. <<ETX>>
On the Causal Power Generation Limit for a Vibratory Energy Harvester in Broadband Stochastic Response

This article illustrates that certain relatively well-known results from feedback control theory can be used to determine the maximum-attainable power generation for a vibratory energy harvester excited by a stationary broadband stochastic disturbance. For such applications, control techniques based on impedance matching theory cannot be used to optimize power generation, because the dynamic controller they prescribe is always anticausal. However, an optimal causal controller does exist, and can be derived using H2/LQG theory. Levels of power generation with this controller are compared to those of the anticausal optimal performance, as well as to traditional 'tuning' techniques which match the anticausal impedance only at the resonant frequency. It is demonstrated that tuning techniques can be significantly sub-optimal in broadband applications, especially when electronic conversion is relatively efficient. In addition to being useful in the design of controllers for energy harvesting applications, these results may also be used to ascertain the insurpassable power generation limits associated with a given combination of transducer and electronic hardware.
Comparison of the Bidirectional Load Test with the Top-Down Load Test

For the past decade, the Osterberg testing method (O-cell test) has been proved advantageous over the conventional pile load testing method in many aspects. However, because the O-cell test uses a loading mechanism entirely different from that of the conventional pile loading testing method, many investigators and practicing engineers have been concerned that the O-cell test would give inaccurate results, especially about the pile head settlement behavior. Therefore, a bidirectional load test using the Osterberg method and the conventional top-down load test were executed on 1.5-m diameter cast-in-place concrete piles at the same time and site. Strain gauges were placed on the piles. The two tests gave similar load transfer curves at various depth of piles. However, the top-down equivalent curve constructed from the bidirectional load test results predicted the pile head settlement under the pile design load to be approximately one half of that predicted by the conventional top-down load test. To improve the prediction accuracy of the top-down equivalent curve, a simple method that accounts for the pile compression was proposed. It was also shown that the strain gauge measurement data from the bidirectional load test could reproduce almost the same top-down curve.
Automated design of optimum longitudinal reinforcement for flexural and axial loading

The problem of a concrete cross section under flexural and axial loading is indeterminate due to the existence of more unknowns than equations. Among the infinite solutions, it is possible to find the optimum, which is that of minimum reinforcement that satisfies certain design constraints (section ductility, minimum reinforcement area, etc.). This article proposes the automation of the optimum reinforcement calculation under any combination of flexural and axial loading. The procedure has been implemented in a program code that is attached in the Appendix. Conventional-strength or high-strength concrete may be chosen, minimum reinforcement area may be considered (it being possible to choose between the standards ACI 318 or Eurocode 2), and the neutral axis depth may be constrained in order to guarantee a certain sectional ductility. Some numerical examples are presented, drawing comparisons between the results obtained by ACI 318, EC 2 and the conventional method.
Intelligent agents in decentralized traffic control

A multi-agent decentralized strategy to control an urban traffic network is presented. Each agent is in charge of managing the signals of an intersection. Local feedback information about an intersection state is obtained using lane sensors to implement an adaptive strategy for each agent. Cooperating behavior between agents is achieved by exchanging information, called "opinions", between adjacent agents to influence each other decisions. Results for this architecture are shown on a simulated environment modeling an area of the city of Pittsburgh, PA, and comparisons are made with other methods.
Acoustic noise cancellation techniques for switched reluctance drives

The levels of acoustic noise emitted by the switched reluctance drive are noted as being above those of competing variable speed drives. In other respects the switched reluctance drive offers distinct advantages. In a previous paper, the authors described a new technique for the cancellation of radial vibrations of the stator. This new technique was limited to power converters offering a zero voltage freewheel path. This paper describes further development of the technique which allows noise cancellation to be achieved with all types of power converter. The techniques disclosed in this paper include a smoothing method, a three stage commutation method for converters with one switch per phase and a noise cancellation technique suitable for switched reluctance drives incorporating an extended zero voltage freewheel period for improved efficiency. The techniques are all compared, with experimental and simulated results.
Dependence of Electrical Characteristics on Epitaxial Layer Structure of AlGaN/GaN HEMTs Fabricated on Freestanding GaN Substrates

This article reports a systematic study on the effects of the epitaxial layer structure on the electrical characteristics of AlGaN/GaN high electron mobility transistors (HEMTs) fabricated on freestanding GaN substrates. First, GaN-on-GaN HEMTs were fabricated comprising channel and buffer layers unintentionally doped with Fe atoms those were diffused from the substrate. Their electrical characteristics were compared with GaN-on-SiC HEMTs. The tradeoff relation between maximum drain current and the breakdown characteristics was improved in GaN-on-GaN devices than in GaN-on-SiC devices. A small current collapse was observed in GaN-on-GaN devices despite a high Fe density in the channel. This suggested an influence of Fe diffusion on the frequency dispersion to be comparatively limited. Second, GaN-on-GaN HEMTs were fabricated using a thin undoped channel layer grown on Fe-doped GaN substrate directly or through an Fe diffusion stopper layer. Without the stopper layer, the buffer leakage was significantly increased by reducing the channel thickness, and a 100-nm-thick channel device showed nonpinch-off characteristics. On the other hand, samples with the stopper layer exhibited no buffer leakage and a complete pinchoff up to 200 V. In addition, a sample with an intentional C doping to the buffer layer showed a relatively large current collapse, suggesting a major contribution of C-doping to the frequency dispersion of GaN-on-GaN HEMTs.