Miracle-dz/UniFAR-FTUs huggingface dataset:
A Stochastic Optimization Approach to the Long-Term Care Structure Assignment Problem for Elderly People

The growing number of elderly people (EP) has become one of the most important problems in recent years. This part of the population is often dependent and does not tolerate environmental changes well, so long-term care (LTC) structure assignments should be well prepared. This article proposes a stochastic optimization approach to solve the LTC structure assignment problem for a population of EP while taking into account health state changes and uncertain future demand. The objective of this approach is to make the best assignment decision among several structures or to wait for a better solution if no suitable structure is available. The model is validated and calibrated on the basis of stakeholder objectives and territorial special features through simulation. We propose a numerical analysis based on both quantitative and qualitative analyses to compare our model with simple assignment policies. Note to Practitioners—The increase in the elderly and dependent population and the lack of a long-term structure to address this aging population make it difficult to assign EP to the appropriate LTC. This decision often determines the quality of the end of life. Several parameters must be taken into account to choose the best solution: the health situation, geographic location, and financial resources. If the elderly person stays too long in a situation not suited to his/her condition, then his/her risk of a decline in health is significant. The dilemma is whether to choose: 1) to wait to have the structure most adapted to the health of the state or 2) to assign the elderly person to the most suitable structure available. We propose a stochastic optimization approach to help stakeholders assign EP to an LTC structure in a given territory. The model uses projections of the health state of the population over a time horizon to make decisions and considers elderly care requirements and characteristics, such as geographic compatibility and financial resources. The model performs better than a greedy algorithm (based on the first-in-first-out approach) and an optimization model without time projections.
Interaktionen zwischen Arzneimitteltherapie und Tierphysiotherapie

In der Regel dokumentiert man während der tierphysiotherapeutischen Anamnese die aktuelle Medikation der Patienten. Aber was macht man dann mit dieser Information? Kann die Einnahme eines Medikaments den Therapieerfolg manueller oder physikalischer Behandlungen beeinflussen – oder umgekehrt? Und was bedeutet das für die Praxis?
Accelerometry-Based Motion Pattern Analysis for Physical Activity Recognition and Activity Level Assessment

Physical inactivity is becoming a major public health concern and lead to a variety of chronic diseases. Since adequate moderate or vigorous activity can reduce the incidence of chronic diseases, noncommunicable disease and obesity. The evidence is supporting the importance of physical activity on health and well-being. However, many people nowadays live without adequate physical activity, and do not aware whether their daily activity is enough or not. The activity recognition and activity level can be used to survey the effectiveness and achievement of goals aimed at increasing physical activity. Physical activity monitoring has become a more proactive healthcare service that should build on the real-time reminding offered by healthcare solutions. Therefore, physical activity monitoring and activity level assessment are critical to maintain adequate physical activity and improve health. In this work, we present a motion patterns analysis for physical activity recognition and activity level assessment by using a wearable sensor. The proposed mechanism uses triaxial accelerometer as a sensing device. The sensor node is mounted in the right front waist, sensing and transmitting sensing data to server. The time series of raw data will be preprocessed through the aggregation technique of jumping window. The raw data will be divided into small segments and separated to gravity signal and body acceleration by filter. Through feature extraction and proposed classifier, motion pattern analysis is achieved. The classifier consists of activity recognition and activity level assessment algorithms. The results have demonstrated that the proposed methods can achieve 94.7%, 87.0% accuracy of activity recognition and activity level estimation respectively.
I/O test methods in high-speed wireline communication systems

A person's growth during their lifetime involves a series of decisions. All decisions are made under certain constraints. The constraints can be the time, the location, or a person's expectation. It is hard to categorize the constraints between good and bad, because a decision, itself, can hardly be right or wrong. A big portion of the constraints are from people. They leave you a sweet memory. Ten years later, you may not remember the exact equation for sub-threshold drain-to-source current. However, the joys or tears you shared, the passion and the way of fishing you acquired will never fade away. THANK YOU to all that made things happen. THANK YOU for all your high expectations that push me forwards. THANK YOU for your big brain and even bigger heart. Here are the people to whom I want to express my deepest gratitude. David Morton for kindly accepting to serve on my Ph.D. committee and reading this dissertation. Mark Shipley is my manager during my several visits to the Cirrus Logic. I thank him for his generousness of offering me the opportunity to work for the initial hardware validation phase of my dissertation in Cirrus. Kim Ng has supervised my work at Broadcom for two years. I thank him for teaching me his magic " touch " to make things work. I really appreciate his contagious smile, open mind, considerate personality, and positive attitude. I am very grateful to Kim and Myles Wakayama for being positive on my Ph. D. studies during my work. Many friends and colleagues at UT have given favor to me through their technical feedback, helping with hardware setup, and CAD technical support. I want to thank all of them, particularly, Prof. vi to thank my co-works at Broadcom for technical discussions, and numerous others. me the opportunity to work on state-of-art projects and supporting me to attend the VLSI Test Symposium. For making my sweet memory The journey of my Ph. D. during these four years is just fun. I cafe staff for being parts of my life at UT. For their influential role in my life I want to give deep appreciation to the people below. Prof. Jacob A. Abraham, for being a great adviser and for teaching me ambition and responsibility. Prof. Eric Swanson, for being a great mixed signal designer and for teaching me how to simplify problems. vii Prof. Zhongmin Yu, for …
Bearing Prognostics: An Instance-Based Learning Approach with Feature Engineering, Data Augmentation, and Similarity Evaluation

We propose an instance-based learning approach with data augmentation and similarity evaluation to estimate the remaining useful life (RUL) of a mechanical component for health management. The publicly available PRONOSTIA datasets, which provide accelerated degradation test data for bearings, are used in our study. The challenges with the datasets include a very limited number of run-to-failure examples, no failure mode information, and a wide range of bearing life spans. Without a large number of training samples, feature engineering is necessary. Principal component analysis is applied to the spectrogram of vibration signals to obtain prognostic feature sequences. A data augmentation strategy is developed to generate synthetic prognostic feature sequences using learning instances. Subsequently, similarities between the test and learning instances can be assessed using a root mean squared (RMS) difference measure. Finally, an ensemble method is developed to aggregate the RUL estimates based on multiple similar prognostic feature sequences. The proposed approach demonstrates comparable performance with published solutions in the literature. It serves as an alternative method for solving the RUL estimation problem.
Identification of the controlling parameter for the set-state resistance of a TiO2 resistive switching cell

This study examined the parameter controlling the set-state resistance (Rset) of a Pt/TiO2/Pt resistive switching (RS) cell in unipolar RS mode. Although the compliance current in the current-voltage sweep had some effect on the Rset, the uncontrolled flow of charge from the parametric analyzer prevented making an accurate estimation of the parameters. The current transient in pulse switching observed using a high-speed digital oscilloscope and physical modeling showed that the capacitive charge moves vigorously at the moment of on-switching, and Rset is governed by the level of migrating charge. The actual switching time was ⪡50 ns.
Driver-less 40 Gb/s LiNbO/sub 3/ modulator with sub-1 V drive voltage

We have succeeded in reducing the drive voltage of a 40Gb/s LiNbO/sub 3/ modulator to 0.9 V, which is the lowest-drive-voltage 40Gb/s LiNbO/sub 3/ modulator in the world. The modulator can be driven within the break down voltage of a SiGe transistor. This result was achieved using a new design concept that featured a wide-gap, long CPW (coplanar waveguide) electrode.
An analytical model considering the fringing fields for calculating the pull-in voltage of micro curled cantilever beams

This paper derives a high precision analytical solution to determine the pull-in voltages of a micro curled beam subjected to electrostatic loads. The analytical model considers the fringing fields between the micro curled beam and the ground plane as well as the initial curling induced by the stress gradient. Furthermore, the electromechanical coupling effects are also involved in the present analytical model. Then the analytical solution of pull-in voltage is obtained by the energy method. By comparing with the other published analytical models as well as the experimentally measured data, the accuracy of the present analytical solution is verified to be more accurate than the other published works. The present analytical solution can determine the pull-in voltage with a maximum deviation of 1% from the experimentally measured results as the ratio of the beam length to the width is greater than 5.
Design, Implementation and Evaluation of an Anti-Phishing Education App

Scammers discover the Internet as a convenient place for their criminal activities. For instance, they send Internet users spoofed e-mails which link to fraudulent websites. These websites prompt visitors to enter their confidential data. This kind of Internet fraud is referred to as phishing. There exist multiple technical solutions to approach the problem of phishing which, for example, warn the users against accessing a revealed phishing website. Yet, they all cannot guarantee 100% accuracy since there will always be ways to circumvent these techniques. Moreover, security warnings or indicators of such approaches are not always recognized or even ignored by some end users. For these reasons, a complementary approach is required. Previous approaches do not draw on a crucial factor to combat the threat - the users themselves. Therefore, the increase of security awareness and especially user education about the dangers of the Internet is a further key strategy to combat phishing. Our master’s thesis aims at developing a smartphone app, which increases security awareness and educates the user regarding the detection of phishing. To increase security awareness, the users send themselves a “spoofed” e-mail right away when starting the app for the first time. The user education part entails alerts regarding known techniques of attackers and is supposed to assist the users to internalize these with the aid of practice and repetition. By this means, we aspire to help the users achieve the capability of defending themselves against phishing attacks in the future. In detail, our app is realized as a quiz based game which mainly focuses on the detection of phishing URLs. In order to evaluate the effectiveness of the app a user study is conducted. The study outcomes show that our app helps users make better decisions regarding the legitimacy of URLs.
Heterogeneous 3D integration of 17 μm pitch Si/SiGe quantum well bolometer arrays for infrared imaging systems

This paper reports on the realization of 17 μm × 17 μm pitch bolometer arrays for uncooled infrared imagers. Microbolometer arrays have been available in primarily defense applications since the mid-1980s and are typically based on deposited thin films on top of CMOS wafers that are surface-machined into sensor pixels. This paper instead focuses on the heterogeneous integration of monocrystalline Si/SiGe quantum-well-based thermistor material in a CMOS-compliant process using adhesive wafer bonding. The high-quality monocrystalline thermistor material opens up for potentially lower noise compared to commercially available uncooled microbolometer arrays together with a competitive temperature coefficient of resistance (TCR). Characterized bolometers had a TCR of −2.9% K−1 in vacuum, measured thermal conductances around 5 × 10−8 W K−1 and thermal time constants between 4.9 and 8.5 ms, depending on the design. Complications in the fabrication of stress-free bolometer legs and low-noise contacts are discussed and analyzed.
Optically modulated III–V nitride-based high-power IMPact Avalanche Transit Time oscillator at Millimeter-wave window frequency

Extensive simulation experiments are carried out for the first time, to study the optical modulation of the high- frequency characteristics of III–V GaN-(gallium nitride) based top-mounted and flip-chip IMPact Avalanche Transit Time (IMPATT) oscillators at MM-wave window frequency (140.0 GHz). It is found that the un-illuminated GaN IMPATT is capable of delivering a RF power of 5.6 W with an efficiency of 23.5% at 145.0 GHz. Frequency up-chirping of 6.0 GHz and a degradation of RF power output by almost 15.0% are further observed in case of photo-illuminated FC IMPATT. The study reveals that compared to predominate electron photocurrent in top-mounted IMPATT, photo-generated leakage current dominated by hole in flip-chip IMPATT has more pronounced effect on the GaN-based device as regards the frequency chirping and decrease of negative conductance and total negative resistance per unit area of the device. The inequality in the magnitudes of electron and hole ionization rates in the wide band gap semiconductor has been found to be correlated with the above results. The study reveals that GaN IMPATT is a potential candidate for replacing conventional IMPATTs at high-frequency operation. These results are useful for practical realization of optically controlled GaN-based high-power IMPATTs for application in MM-wave communication systems.
Critical success factors for lean implementation within SMEs

Purpose – The aim of this research paper is to present the critical factors that constitute a successful implementation of lean manufacturing within manufacturing SMEs.Design/methodology/approach – A combination of comprehensive literature review and visits to ten SMEs based in the East of the UK were employed in the study. The companies' practices were observed to highlight the degree of lean manufacturing utilisation within these companies. This was followed by interviewing of the relevant and key personnel involved in lean implementation. Results were analysed and validated through workshops, case studies and Delphi techniques.Findings – Several critical factors that determine the success of implementing the concept of lean manufacturing within SMEs are identified. Leadership, management, finance organisational culture and skills and expertise, amongst other factors; are classified as the most pertinent issues critical for the successful adoption of lean manufacturing within SMEs environment.Research l.
Fiber birefringence measurement based on a beat‐frequency‐interrogated multilongitudinal‐mode distributed bragg reflector erbium‐doped fiber laser

A novel fiber birefringence measurement scheme based on beat frequency interrogation of a multilongitudinal‐mode distributed Bragg reflector erbium‐doped fiber laser is presented and experimentally demonstrated. By analyzing the laser beat generation mechanism, an analytic expression describing fiber birefringence in terms of laser wavelength, laser beat frequency, and the fiber laser geometry has been obtained. Calculation of fiber birefringence based on the experimental observation of laser beat frequency shift indicates that the strain dependence of fiber birefringence turns out a perfect linear monotone decreasing relationship with a strain coefficient of ∼−2.2 × 10–11/με, which is in good agreement with related reports. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:702–707, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26630
Vehicle Detection Method under Night Circumstance

In intelligent vehicle detection, vehicle detection at night especially detection in the condition of urban street always remains a problem. This paper proposes an effective vehicle detection algorithm. Firstly it extracts effective vehicle edge by the method of embossment which eliminates light interference. Then we detect the vehicle moving area by frame difference method and calculate the threshold by OTSU algorithm. Finally the noise points are removed by erosion and expansion. This method can better extract the moving objects.
INFLUENCE OF CAPACITY CONSTRAINTS ON AIRLINE FLEET MIX

The paper discusses the findings of an analysis of traffic patterns at Los Angeles International Airport (LAX) that examined how airport capacity constraints might influence future trends in airline fleet mix. The study undertook an analysis of recent trends in passenger traffic and aircraft size in different types of market from LAX. The analysis was supplemented by an empirical study of the influence of airport delays on the average size of aircraft that is in use in a large number of U.S. domestic markets.
A Rapid Design System Integrated CBR with Variant Design

In the machine tool manufacturing industry, most of the design is based on previous experience and cases. However, some parts in the machine are complex and hard to modify for reuse. In this paper, CBR integrated with variant design is proposed to accelerate the knowledge reuse process. The experience and the cases are saved in the case base, and the similarity of the cases includes the parameters and structure. The revise process is using the proposed variant design to modify the case, and we mainly talking about the process on the construction of the functional relationship, which is the key steps of the variant design. Finally, we build a rapid design system for milling machine. The application indicate that the approach for complex parts design are useful and promising in intelligent design process in terms of shorter design time and more intelligent process.
An Effective Spectrum Sensing Method Based on Maximum Eigenvector

Spectrum sensing is a fundamental problem for cognitive radio system as it allows secondary user (SU) to find spectrum holes for opportunistic reuse. This paper presents a new spectrum sensing method based on the data stacking technique (temporal smoothing technique) and power method. The “maximum eigenvector” is used to detect the spectrum holes. Compared with the previous works, the proposed approach can provide better performance, such as higher detection probability in the lower signal-to-noise-ratio (SNR) scenario, etc.
MgO/p-GaN enhancement mode metal-oxide semiconductor field-effect transistors

We report the initial demonstration of an enhancement mode MgO/p-GaN metal-oxide-semiconductor field-effect transistor (MOSFET) utilizing Si+ ion-implanted regions under the source and drain to provide a source of minority carriers for inversion. The breakdown voltage for an 80-nm-thick MgO gate dielectric was ∼14 V, corresponding to a breakdown field strength of 1.75 MV cm−1 and the p-n junction formed between the p-epi and the source had a reverse breakdown voltage >15 V. Inversion of the channel was achieved for gate voltages above 6 V. The maximum transconductance was 5.4 μS mm−1 at a drain-source voltage of 5 V, comparable to the initial values reported for GaAs MOSFETs.
Thick-film humidity sensors

The results of an investigation of thick-film humidity sensors based on ceramic materials are discussed in the paper. Thick-film technology is very promising for the production of low cost sensors based on ceramic materials. The technology gives the possibility for reproducible production of sensors with a defined microstructure, determined porosity and proper structure of grains and grain boundaries. Ceramic sensors have advantages over polymer sensors due to their better thermal stability and resistance to chemicals. Properties of thick-film planar humidity sensors based on - (ZCT) ceramics are presented. The influence of and Si additives, as well as firing temperature, on the sensor characteristics are discussed. Impedance spectroscopy measurements determined the correlation between the technological parameters and the electrical properties of humidity sensors. The role of each part of the sensitive material in the electrical conduction process is determined on the basis of measurements and calculated equivalent circuits. The proposed model describes the frequency characteristics at various relative humidities with very good fit to the experimental data. A new approach to the modelling of the impedance frequency dependence by means of an equivalent circuit yields very promising results for sensors.
Water balance and the behaviour of different paving surfaces

The concept of water balance is frequently used to describe the main hydrological processes occurring in natural catchments. It can also be applied to urban catchments and in this paper the water balance principle is applied to small‐scale samples of various paving materials. In particular, the relative importance of runoff, evaporation and infiltration is studied. This paper discusses these processes and describes some experimental measurements of water balance on various paving materials and the moisture content distribution within the materials.
Performance evaluation of control networks: Ethernet, ControlNet, and DeviceNet

Many different network types have been promoted for use in control systems. In this article, we compare three of them: the Ethernet bus, with carrier sense multiple access with collision detection, token-passing bus (e.g., ControlNet), and controller area network bus (e.g., DeviceNet). We consider how each control network can be used as a communication backbone for a networked control system connecting sensors, actuators, and controllers. A detailed discussion of the medium access control sublayer protocol for each network is provided. For each protocol, we study the key parameters of the corresponding network when used in a control situation, including network utilization, magnitude of the expected time delay, and characteristics of time delays. Simulation results are presented for several different scenarios, and the advantages and disadvantages of each network are summarized.
P‐91: Thermal Analysis for LCoS Engine

We have developed a thermal analysis model and full 3‐dimensional finite element thermal analysis using ANSYS for the whole LCoS engine including lamp, IR filter, fly's eye integrator arrays, PBS array, polarizer, PBS and dichroic cubes, etc. Temperatures for all the components of the engine were computed and verified with the experimental results. Some guidelines to aid thermal management and design were presented.