Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of composition and texture on the thermoelectric and mechanical properties of extruded (Bi/sub 1-x/Sb/sub x/)/sub 2/(Te/sub 1-y/Se/sub y/)/sub 3/ alloys

This paper presents the results obtained after five years of process development to produce bismuth telluride based thermoelectric alloys by powder consolidation approach. The synthesis of the alloys is obtained by mechanical alloying from pure elemental powders. Billets are then produced by cold pressing followed by hot extrusion in order to have a fully dense polycrystalline product with a crystal texture characterized by the c-axis aligned perpendicularly to the extrusion direction. Semiconductors of type-n and type-p were produced by carefully controlling the chemical composition of the alloys and the concentration of doping agents. The evolution of the thermoelectric properties is given as a function of the constituents contents of the alloy to determine an optimal composition that leads to maximum value of the figure of merit. The effect of texture is measured not only on the thermoelectric properties but also on the mechanical behaviour of the material.
Effects of the Syllable Structure on Perceptual Speaker Identification

In speaker identification by listening, the identification rates vary depending on the speech contents presented to the subjects. It is reported that the nasals are more effective than the oral sounds for identifying speakers. The present study investigates the availability of the nasal sounds in terms of syllable structures. The results showed that the coda nasals are highly effective, though onset consonants are also important. As to the place of articulation, alveolar consonants in onset positions were more effective than bilabials, and the nasals were better than their oral counterparts were.
Testing Performance and Reliability of Magnetic Suspension Controllers

Abstract The aim of this paper is to present an experiment realized with the support of magnetic levitation system equipped with additional electromagnet. This extra unit allows to realize more experiments including identification and control, diagnose the performance of the closed loop system and design controllers for single axis of the active magnetic bearing. The test rig consists of two electromagnets, distance and current sensors and ferromagnetic object. The system is controlled by the personal computer or embedded system. The MATLAB/Simulink software allows to perform identification, signal analysis, controller design and real-time code generation for the selected target. The experimental controllers reliability test under external pulse excitation is presented.
On the optimality of FCFS for networks of multi-server queues

We consider multi-server queues in which arriving customers can be assigned to different servers. For three models the optimality of assigning customers to the server with smallest workload, FCFS, is shown. In the first two models isolated queues are studied, their difference being that in the first the cost functions are related to the workload, while in the second the departure processes are compared. The third model is concerned with networks of multi-server queues. 1991 Mathematics Subject Classification: 60K25, 90B22
Fundamentals of Social Statistics

Part 1: Introduction: The Definition of Statistical Analysis. Basic Mathematical Concepts. Part 2: Descriptive Statistics: Frequency Distributions and Graphing Techniques. Percentiles. Measures of Central Tendency. Measures of Dispersion. The Standard Deviation and the Standard Normal Distribution. An Introduction to Contingency Tables. Correlation. Regression and Prediction. Multivariate Data Analysis. Part 3: Inferential Statistics: Parametric Tests of Significance. Probability. Introduction to Statistical Inference. Statistical Inference and Continuous Variables. An Introduction to the Analysis of Variance. Part 4: Inferential Statistics: Nonparametric Tests of Significance. Statistical Inference with Categorical Variables: Chi Square and Related Measures. Statistical Inference: Ordinally Scaled Variables. Part 5: Appendices: Review of Basic Mathematics. Glossary of Symbols.Tables. Glossary of Terms. References. Part 6: Answers to Selected Exercised.
Real-Time Optimal Trajectory Generation for Constrained Dynamical Systems

With the advent of powerful computing and efficient computational algorithms, real-time solutions to constrained optimal control problems are nearing a reality. In this thesis, we develop a computationally efficient Nonlinear Trajectory Generation (NTG) algorithm and describe its software implementation to solve, in real-time, nonlinear optimal trajectory generation problems for constrained systems. NTG is a nonlinear trajectory generation software package that combines nonlinear control theory, B-spline basis functions, and nonlinear programming. We compare NTG with other numerical optimal control problem solution techniques, such as direct collocation, shooting, adjoints, and differential inclusions. We demonstrate the performance of NTG on the Caltech Ducted Fan testbed. Aggressive, constrained optimal control problems are solved in real-time for hover-to-hover, forward flight, and terrain avoidance test cases. Real-time trajectory generation results are shown for both the two-degree of freedom and receding horizon control designs. Further experimental demonstration is provided with the station-keeping, reconfiguration, and deconfiguration of micro-satellite formation with complex nonlinear constraints. Successful application of NTG in these cases demonstrates reliable real-time trajectory generation, even for highly nonlinear and non-convex systems. The results are among the first to apply receding horizon control techniques for agile flight in an experimental setting, using representative dynamics and computation.
SPATIOTEMPORAL PATTERN DETECTION IN MULTI-CELL RECORDINGS USING UNSUPERVISED LEARNING

Detection of spatiotemporal patterns have many applications in areas such as computer vision and data mining. Specifically, the analysis and mining of biological data with high dimensionality (e.g. multi-cell recordings, fMRI) are heavily dependent on detection of these patterns. In this thesis, we propose two unsupervised learning algorithms for obtaining filters that capture temporal patterns. In particular, we are interested in applying our methods for detection of regularities in multi-cell recordings of neurons. We propose two approaches: convolutional restricted Boltzmann machine (RBM) and convolutional denoising auto-encoder. The experimental results demonstrate that the proposed methods are able to detect temporal patterns in artificial data and multi-cell recordings from rat’s brain. Moreover, we propose a Monte Carlo method for quantitatively evaluating the convolutional RBM by estimating the log-likelihood of data under the model distribution. The experimental results on test dataset of handwritten digits (MNIST), demonstrate that the convolutional RBM can learn a good generative model with small number of parameters.
Legal Knowledge Engineering - A Modelling Approach

Although the field of Artificial Intelligence and Law has matured considerably, there is still no comprehensive view on the field, its achievements, and no agenda or clear direction for research. Moreover, present approaches to the development of legal knowledge-based systems (LKBS) - such as the use of rule-based systems, case-based systems, or logics - have obtained somewhat limited theoretical and practical results. This book provides a critical overview of the field by describing present approaches and analysing their problems in detail. A new "modelling approach" to legal knowledge engineering is proposed to address these problems and provide an agenda for research and development. This approach applies recent developments in knowledge modelling to the law domain. The book's central premise, that the development of LK BS should be centred on the elaboration of explicit models of law, is well demonstrated, it is an extremely worthwhile read for anyone interested in the theoretical foundations of AI and law and knowledge representation in particular.
A continuously variable digital delay element

The author describes an FIR (finite-impulse-response) filter which synthesizes a controllable delay. By changing the delay the filter has the ability to interpolate between samples in the data stream of a band-limited signal. Because high sampling rates are not required, the filter is especially suited for implementation in a digital signal processor (DSP), and has been implemented in a real-time DSP. The interpolator can be used as a practical way to reconstruct an original band limited signal from samples taken at the Nyquist rate. The variable delay filter can also be used as a more general computational element. Performance results are presented. <<ETX>>
The Load Estimation and Power Tracking Integrated Control Strategy for Dual-Sides Controlled LCC Compensated Wireless Charging System

In this paper, the wireless power transfer (WPT) system with dynamic loads such as batteries is studied comprehensively. An integrated control technology of load estimation and power tracking of LCC compensated is proposed, which realizes load estimation, mode judgment and charging control at the transmitter, and standard load setting and decoupling control at the receiver. Based on the influence of reflection impedance on the output current of the inverter, a method of identifying coupling coefficient and equivalent load is proposed and a mathematical model is established. Receiver controller provides standard reference load for load estimation. Transmitter controller judges battery status according to the estimation of equivalent load and adopts double closed-loop control to regulate power and current. Receiver decouples control when battery charging voltage reaches the threshold, and providing mode conversion sign for transmitter controller to realize constant current (CC) and constant voltage (CV) charging of battery. The Dual-sides integrated control scheme has no data communication between transmitter and receiver, so it can control independently, which reduces the complexity of the system and is suitable for different charging modes. The proposed controller is more efficient as it maintains a track current, and dynamically alters the pick-up characteristics to suit the load demand. Finally, the simulation and experimental results validate the feasibility of proposed control method, which realizes the estimation of the load and CC/CV charging of the battery. The proposed WPT system achieved the efficiency at 91.16% while delivering 2kW to the load with a vertical air gap of 150mm.
Improved Two Switched-Inductor Quasi-Z-Source Inverter with High Voltage Gain and Reduced Inductor Current Ripple

A new topology called improved two switched-inductor quasi-Z-source inverter (i2SL-qZSI) is introduced in this paper. Compared to previous topologies, the voltage gain of the proposed topology is increased significantly by using smaller value of shoot-through duty cycle. Furthermore, it offers smaller voltage stresses in the inverter switch and has a lower current ripple across all inductors for the same operating point. The principle operation and analysis of the proposed topology are presented in this paper and then compared with the previous topologies. Simulations were conducted to confirm the performance of the proposed topology.
High-order XPD Statistical Properties Assessment for Spectral-efficient Space Ka-band Services

Spectral-efficient communication systems, exploiting either frequency-reuse schemes or polarization diversity techniques, rely on the joint characterization of the radiowave propagation channel in what concerns the channel-induced interference, by means of the well-known cross-polarization discrimination (XPD), and attenuation. This characterization lacks of assessment by means of a reliable and long-term propagation experimental database, establishing the basis for the future modelling efforts of the depolarization effects, especially at frequency-bands higher than the Ku-band, namely at Ka and above, where the bandwidth required for the deployment of innovative multimedia services is available. In this contribution, the past assumptions taken from limited data collected by experiments at Ku-band are evaluated at Ka-band and the current standard models performance is investigated by means of two testing variables that are now proposed. The evidences found are discussed in-line with the requirements of future modelling efforts.
THz Thin Film Sensing with Labyrinth Metasurface Absorber

In this work, a labyrinth metasurface sensor operating in the Terahertz (THz) band is presented. The strong electric field confinement leads to an excellent performance of this structure as thin film sensor. The sensing capability of the designed structure is numerically and experimentally measured. As the analyte (i.e. the substance sensed) thickness is increased, a frequency shift of the fundamental resonance is observed. Two different designs are studied both of them with excellent performance. An experimental average Figure of Merit (FOM) of 5093 (mm•RIU)−1 and 3111 (mm•RIU)−1 is obtained for both designs, improving the results found in the literature for structures fabricated with the same manufacturing techniques. Next, a numerical study of the behavior of the metasurface depending on the polarization characteristics is presented. The polarization angle of the incident E-field is varied between 0° and 90° showing a stable response in terms of the reflection coefficient. This aspect presents great advantages for thin film sensing, and could be extended to biological sensing in the future.
Estimating software costs

Deliver bug-free software projects on schedule and within budget Get a clear, complete understanding of how to estimate software costs, schedules, and quality using the real-world information contained in this comprehensive volume. Find out how to choose the correct hardware and software tools, develop an appraisal strategy, deploy tests and prototypes, and produce accurate software cost estimates. Plus, you'll get full coverage of cutting-edge estimating approaches using Java, object-oriented methods, and reusable components. Plan for and execute project-, phase-, and activity-level cost estimations Estimate regression, component, integration, and stress tests Compensate for inaccuracies in data collection, calculation, and analysis Assess software deliverables and data complexity Test design principles and operational characteristics using software prototyping Handle configuration change, research, quality control, and documentation costs "Capers Jones' work offers a unique contribution to the understanding of the economics of software production. It provides deep insights into why our advances in computing are not matched with corresponding improvements in the software that drives it. This book is absolutely required reading for an understanding of the limitations of our technological advances. " --Paul A. Strassmann, former CIO of Xerox, the Department of Defense, and NASA Table of contents Foreword Preface AcknowledgmentsSection 1 Introduction to Software Cost EstimationChapter 1 IntroductionChapter 2 The Origins of Software Cost EstimationChapter 3 Six Forms of Software Cost EstimationChapter 4 Software Cost Estimating Tools and Project Success and Failure RatesChapter 5 Sources of Error in Software Cost EstimationSection 2 Preliminary Estimation MethodsChapter 6 Manual Software Estimating MethodsChapter 7 Manual Software Estimating Methods Derived from Agile Projects and NewChapter 8 Automated Estimates from Minimal DataSection 3 Sizing Software DeliverablesChapter 9 Sizing Software DeliverablesSection 4 Cost Estimating Adjustment FactorsChapter 10 Compensation and Work-Pattern AdjustmentsChapter 11 Activity Pattern Adjustment FactorsChapter 12 Software Technology Adjustment FactorsSection 5 Activity-Based Software EstimatingChapter 13 Estimating Software RequirementsChapter 14 Estimating Software PrototypesChapter 15 Estimating Software Specifications and DesignChapter 16 Estimating Design InspectionsChapter 17 Estimating Programming or CodingChapter 18 Estimating Code InspectionsChapter 19 Estimating Software Configuration Control and Change ManagementChapter 20 Estimating Software TestingChapter 21 Estimating User and Project DocumentationChapter 22 Estimating Software Project ManagementSection 6 Maintenance and Enhancement Cost EstimatingChapter 23 Maintenance and Enhancement EstimatingChapter 24 Software Cost-Estimating Research Issues Index
Advantages and Disadvantages of Parameter Search Algorithms for Permittivity Estimation for Microwave Breast Imaging

Multiple clinical investigations of radar-based breast imaging devices have been demonstrated in recent years, including two competing commercial systems which are currently being tested in clinics. Ongoing trials include participants with both dense and non-dense breasts and the average dielectric properties of the breast can vary substantially with density. Numerous studies have shown that this normal variance in the dielectric properties of the breast between individuals can impact both the image quality and the expected sensitivity of radar-based breast imaging. This paper examines the potential to use parameter search algorithms to improve the sensitivity of radar-based breast imaging. Although these parameter search algorithms have been shown to improve image quality in a limited number of test cases, this is the first analysis of the potential impact of realistic dielectric properties estimation on the sensitivity of radar-based imaging.
Measurements in a Real Data Centre at 300 GHz and Recent Results

In this paper a measurement campaign in a real Data Centre at 300 GHz and recent results are presented. The measurements are performed with a UWB sub-mmWave channel sounder and classified in general characterisation, top-of-rack and intra-rack measurements. The individual measurement setups as well as the methodology are explained. In a first step, the measurements are evaluated regarding the path attenuation, the power delay profile (PDP) and the power angular spectrum (PAS). The PDP as well as the PAS give comprehensible results, which are explained by the scenario’s geometry. The path attenuation shows reasonable results compared to the free space path loss and demonstrates that wireless communication at 300 GHz in a Data Centre is possible.
Investigating the Actual usage of Learning Management System: From Perspectives of University Students

This study investigated university students' actual use of learning management system using Unified Theory of Acceptance and Use of Technology (UTAUT) model. Quantitative and qualitative research strategies were adopted using close-ended and open-ended questionnaire to collect data from 149 students who were learning management system (LMS) users. Random sampling approach was used to select the students. The quantitative data were analyzed using structural equation model and the qualitative data were analyzed using thematic analysis. The results from quantitative analysis showed that performance expectancy, effort expectancy and institutional support influenced students' actual use of LMS while social influence and infrastructure support did not influence students' actual use. But, the results from qualitative analysis found lack of training, unavailability of internet connection and poor electricity supply as major concerns that affect students' actual usage of LMS. This study contributed to the current discussion on use of UTAUT to explain students' actual use of technology in developing countries. Implications, limitations and future studies were discussed.
Electrocardiogram Data Capturing System By Using Machine Perception

Obstructive Apnea is a breathing based sleeping problem, in which throat tissues drops back in the direction of air passages as well as obstructs the air flow, partly or completely during the rest. Because of lack of air movement in blood, oxygen levels will drop suddenly in boosting high blood pressure as well as strains cardiovascular system, leads to boost the danger of Cardiovascular diseases, Stroke, Excessive Weight, Diabetes Mellitus, High blood pressure, Myocardial infarction (MI) etc. where MI is a cardiovascular disease occurs when the circulation of blood, decreases or quits to a part of the heart, which it brings about heart damage. One of commonly detected method for sleeping conditions is Polysomnography (PSG), which is a lot pricier as well as eats much effort, as a result of these reasons in a lot of the cases sleep problems were undiagnosed. To get over the drawbacks of Polysomnography in an affordable way and in less initiative, existing system uses ECG signals in order to identify OSA. ECG is mostly used to diagnose cardiovascular disease, in order to find MI from ECG where as in traditional standard system assessment of ECG signals via visual analysis can be done by physicians or medical professionals is not effective and time consuming. This paper proposes a system to conquer the disadvantage of standard system, by translating the exact ECG by utilizing machine perception and to identify the problems in ECG, mainly concentrates on OSA as well as Myocardial infraction. Machine perception is the capability of a system in order to interpret the data based on exactly how human beings detects and connects the world around them. It permits the system to collect the information based upon equipment vision with better accuracy as well as to provide it in a form which is more comfortable to the user. Computer vision mostly focuses on acquiring, processing, analyzing, and recognizing images. Here the input information is absorbed kind of images as opposed to signals for accurate ECG interpretation. This can be done by using wavelet changes and Auto Regression (AR) approaches and should able to distinguish between regular ECG and also uncommon ECG and it can be done by using improvised classification Algorithm based on integration of both K-Medoid and also improvised KNN classifier is used to reduce the computation complexity and also enhance the precision by using the hyper tuning parameters.
A Linear Decision Feedback Detector For SOQPSK

The pulse amplitude modulation (PAM) decomposition of continuous phase modulation (CPM) signals has been recently revamped to give another view of ternary shaped offset quadrature phase shift keying (SOQPSK) signals as duobinary CPMs. Taking advantage of this approach, we propose a new linear detector that operates using a decision feedback mechanism. We show that the proposed solution offers a very acceptable bit error rate (BER) performance without the need to employ a Viterbi algorithm.
Estimation of Average Absorption Cross Section of a Skin Phantom in a mm-Wave Reverberation Chamber

The average absorption cross section (AACS) of a human skin-equivalent phantom is calculated under diffuse exposure in a reverberation chamber (RC) in the mm-wave band. Two methods are proposed, in the first method the quality factor of the RC is evaluated in the spectral domain. The second method is based on the theory of room electromagnetics and fitting power delay profile to obtain reverberation time. Similar results were obtained for both methods. AACS values of 225±0.048 cm2 and 225±0.017 cm2 were derived for the first and second method, respectively. These results are in good agreement.
The negative transfer problem in neural networks: a solution

The authors introduce a modified BP (backpropagation) model that can be used in sequential learning to overcome the NET (negative transfer) effect. Simulations were conducted to contrast the performance of the original BP model with the modified one. The results of the simulations showed that effect of the NT can be completely eliminated, and in some cases reversed, by using the modified BP model. The behavior and interactions of the weight matrices are studied over successive training sessions. This work confirms the need to have an overall cognitive architecture that goes beyond the basic application of the learning model. <<ETX>>