Miracle-dz/UniFAR-FTUs huggingface dataset:
Mateda-2.0: A MATLAB package for the implementation and analysis of estimation of distribution algorithms

This paper describes Mateda-2.0, a MATLAB package for estimation of distribution algorithms (EDAs). This package can be used to solve single and multi-objective discrete and continuous optimization problems using EDAs based on undirected and directed probabilistic graphical models. The implementation contains several methods commonly employed by EDAs. It is also conceived as an open package to allow users to incorporate different combinations of selection, learning, sampling, and local search procedures. Additionally, it includes methods to extract, process and visualize the structures learned by the probabilistic models. This way, it can unveil previously unknown information about the optimization problem domain. Mateda-2.0 also incorporates a module for creating and validating function models based on the probabilistic models learned by EDAs.
Hybrid Heuristic Algorithm for solving Capacitated Vehicle Routing problem

The Capacitated Vehicle Routing Problem is the most common and basic variant of the vehicle routing problem, where it represents an important problem in the fields of transportation, distribution and logistics. It involves finding a set of optimal routes that achieve the minimum cost and serve scattered customer locations under several constraints such as the distance between customers’ locations, available vehicles, vehicle capacity and customer demands. The Cluster first – Route second is the proposed approach used to solve capacitated vehicle routing problem which applied in a real case study used in that research, it consists of two main phases. In the first phase, the objective is to group the closest geographical customer locations together into clusters based on their locations, vehicle capacity and demands by using Sweep algorithm. In the second phase, the objective is to generate the minimum cost route for each cluster by using the Nearest Neighbor algorithm. The hybrid approach is evaluated by Augerat’s Euclidean benchmark datasets.
Co-words and citations relations between document sets and environments

Co-word linkages among documents have been proposed as a n alternative to citations . (and co-citations) for the study of how documents a r e related. In this study we examine co-word linkages among a s e t of biochemistry documents which were subjected t o a citation analysis in another context. The co-word s t ructure in the t i t les of this document s e t is compared with t h a t of the t i t les of the documents which cited a t least one of these documents, and with t h a t in a l l other documents of the Science Citation Index in t h e same period. A similar analysis of the words used in the abstracts of these documents has been made, to check whether one should s t a r t t h e analysis from t i t les or abstracts. The s t ructure of cc-words in the ti t les of the citing documents significantly resembles t h a t of t h e co-word structure of t h e cited documents. These co-word s t ructures in t h e f i rs t place seem to ref lect the internal s t ructure of the document se t and the related groups of authors, a s can b e validated against the results of an independent document analysis. Since i t is possible t o search in t h e SCI for both title-words and index-words (cluster terms), a s a side-effect of our research, we are able t o draw systematic conclusions about the so-called ' indexer e f fec t ' in co-word analysis.
Secuenciamiento de actividades educativas orientado a la reutilización y la auto-organización en tutoría inteligente. ' 'Sequencing of learning activities oriented towards reuse and auto-organization for intelligent tutoring systems' '

Three have been the main contributions of this thesis. First, a platform for the deployment of Intelligent Tutoring Systems (ITS) with a modular architecture has been designed. This platform, called SIT, focuses on the adaptation of the sequencing of learning content, not adaptation of the content itself. This separation permits specialization of pedagogical experts and encourages reuse of learning resources. Second, a tool for the adaptation of the sequencing of learning units has been presented: Sequencing Graphs. It is a specialization of the finite automata paradigm, adapted for the specific needs of learning. Sequencing graphs focus on reuse, both of learning units and of adaptive sequencings definitions. They are hierarchical to prevent scalability problems. Two ITS have developed using sequencing graphs for SIT. Experimental results support the hypothesis that sequencing adaptation has a good influence on learning and that Sequencing Graphs are a useful tool to achieve this objective. Finally, the thesis analyzes the current initiatives in the emerging field of swarm intelligence techniques in education. Apart of the theoretical overview, three results are presented: an experimental study performed on the Paraschool system, a system of pedagogical alarms based on learning pheromones on the same system, and a swarm paths information module for SIT. This module synthesizes the best results from swarm-based adaptation sequencing and collaborative filtering for providing an additional level of adaptation to the content sequencing in SIT
A new audio-visual control using message object transmission

This paper presents a method for controlling audio-visual (AV) devices using message object transmission. The validity of the new method is verified using a trial model. This method realizes system software for performing processes like startup, control and display using the object-oriented concept. A control object is transmitted from an AV terminal device to another AV terminal device when they are connected. For startup or control, the first AV terminal does not use a control code as was done in the conventional control of AV terminals. Instead it transmits a message object corresponding to a control object which has been transmitted in advance. The advantages of using this method include the following: (1) it is possible to absorb the differences between devices, for instance the difference in control codes; (2) users need have no knowledge about the device drivers; and (3) the memory capacity required to control the AV controllers can be minimized. Furthermore, if the AV terminal's control microcomputer has an RPC (remote procedure call) function, it is possible to control the AV terminals in a distributed network environment. This can be done by sending a procedure call to the AV terminal device in the form of a message to startup the object in the AV terminal device. >
Coded Acquisition of High Speed Videos with Multiple Cameras

High frame rate video (HFV) is an important investigational tool in sciences, engineering and military. In ultrahigh speed imaging, the obtainable temporal, spatial and spectral resolutions are limited by the sustainable throughput of in-camera mass memory, the lower bound of exposure time, and illumination conditions. In order to break these bottlenecks, we propose a new coded video acquisition framework that employs K ≥ 2 cameras, each of which makes random measurements of the video signal in both temporal and spatial domains. For each of the K cameras, this multicamera strategy greatly relaxes the stringent requirements in memory speed, shutter speed, and illumination strength. The recovery of HFV from these random measurements is posed and solved as a large scale `1 minimization problem by exploiting joint temporal and spatial sparsities of the 3D signal. Three coded video acquisition techniques of varied trade offs between performance and hardware complexity are developed: frame-wise coded acquisition, pixel-wise coded acquisition, and column-row-wise coded acquisition. The performances of these techniques are analyzed in relation to the sparsity of the underlying video signal. To make ultra high speed cameras of coded exposure more practical and affordable, we develop a coded exposure video/image acquisition system by an innovative assembling of multiple rolling shutter cameras. Each of the constituent rolling shutter cameras adopts a random pixel read-out mechanism by simply changing the read out order of pixel rows from sequential to random. Simulations of these new image/video coded acquisition techniques are carried out and experimental results are reported.
An Exploratory Case Study of the Use of Video Digitizing Technology to Detect Answer-Copying on a Paper-and-Pencil Multiple-Choice Test

In educational testing, answer-copying is considered a behaviour that poses threats to the validity of test scores interpretations, which is a concern when interpreting the test results for the purpose of making changes to curriculum and educational policies. Answer copying involves at least two examinees, one being the source and the other the copier. While different methods have been developed to detect answer-copying using statistical indices, researchers have not yet examined the use of video digitizing technology via a kinematic sanalysis of the data to detect answer-copying during test taking situations. The purpose of this case study was to explore the use of video digitizing technology to detectanswer-copying by measuring examinees’ response time, displacement and velocity from item to item on a test. A sample of two university students volunteered to demonstrate the benefits and challenges of using video digitizing technology to detect answer-copying. While this is a small scale demonstration, the outcome of this study may shed light on whether or not the use of video digitizing technology provide evidence of feasibility and some preliminary reliability in the detection of answer copying.The lesson learned from this study can inform the direction of a future program of research.
Research methods for the behavioral sciences

Part I: GETTING STARTED. 1. Introduction to Research. 2. Developing the Research Hypothesis. 3. Ethics in Research. Part II: MEASURING AND DESCRIBING. 4. Measures. 5. Reliability and Validity. 6. Surveys and Sampling. 7. Naturalistic Methods. Part III: TESTING RESEARCH HYPOTHESES. 8. Hypothesis Testing and Inferential Statistics. 9. Correlational Research Designs. 10. Experimental Research: One-Way Designs. Part IV: DESIGNING AND INTERPRETING RESEARCH. 11. Experimental Research: Factorial Designs. 12. Experimental Control and Internal Validity. 13. External Validity. 14. Quasi-Experimental Research Designs. Appendix A: Reporting Research Results. Appendix B: Data Preparation and Univariate Statistics. Appendix C: Bivariate Statistics. Appendix D: Multivariate Statistics. Appendix E: Statistical Tables. Appendix F: Using Computers to Collect Data Glossary. References. Index.
Using color to separate reflection components

Abstract : This paper presents an algorithm for analyzing a standard color image to determine intrinsic images of the amount of interface (specular) and body (diffuse) reflection at each pixel. The interface reflection represents the highlights from the original image, and the body reflection represents the original image with highlights removed. Such intrinsic images are of interest because the geometric properties of each type of reflection are simpler than the geometric properties of intensity in a black-and-white image. The algorithm is based upon a physical model of reflection which states that two distinct types of reflection--interface and body reflection--occur, and that each type can be decomposed into a relative spectral distribution and a geometric scale factor. This model is far more general than typical models used in computer vision and computer graphics, and includes most such models as special cases. In addition, the model does not assume a point light source or uniform illumination distribution over the scene. The properties of spectral projection into color space are used to derive a new model of pixel-value color distribution, and this model is exploited in an algorithm to derive the intrinsic images. Suggestions are provided for extending the model to deal with diffuse illumination and for analyzing the intrinsic images of reflection. Additional keywords: Dischromatic reflection model. (Author)
Structural equation modeling : a second course

Introduction to Series, Ronald C. Serlin Preface, Richard G. Lomax Dedication Acknowledgements Introduction, Gregory R. Hancock & Ralph O. Mueller Part I: Foundations The Problem of Equivalent Structural Models, Scott L. Hershberger Formative Measurement and Feedback Loops, Rex B. Kline Power Analysis in Covariance Structure Modeling, Gregory R. Hancock Part II: Extensions Evaluating Between-Group Differences in Latent Variable Means, Marilyn S. Thompson & Samuel B. Green Using Latent Growth Models to Evaluate Longitudinal Change, Gregory R. Hancock & Frank R. Lawrence Mean and Covariance Structure Mixture Models, Phill Gagne Structural Equation Models of Latent Interaction and Quadratic Effects, Herbert W. Marsh, Zhonglin Wen, & Kit-Tai Hau Part III: Assumptions Nonnormal and Categorical Data in Structural Equation Modeling, Sara J. Finney & Christine DiStefano Analyzing Structural Equation Models with Missing Data, Craig K. Enders Using Multilevel Structural Equation Modeling Techniques with Complex Sample Data, Laura M. Stapleton The Use of Monte Carlo Studies in Structural Equation Modeling Research, Deborah L. Bandalos About the Authors.
Modern Techniques for Computer-Aided Melanoma Diagnosis

The most promising methods are those decomposing different frequency scales of the texture. Such multi% resolution analysis is well suited to determine distinctive signals characterizing the class of the image. We present also classification analysis of the pigmented skin lesion images taken in white light based on the inductive learning methods proposed by Michalski (AQ). These methods are developed for a computer system supporting the decision making process for early diagnosis of melanoma. Symbolic (machine) learning methods used in our study are tested on two types of features extracted from pigmented lesion images: color/geometric features, and wavelet%based features. Classification performance with the wavelet features, although achieved with simple rules, is very high. Symbolic learning applied to our skin lesion data outperforms other classical machine learning methods. This book provides an excellent overview of how melanoma is treated in the clinic. Since oncologists and clinicians across the globe contributed to this book, each area also explores the unique burdens that geographical areas experience from melanoma subtypes and how these are treated in different settings. It also includes several chapters that illustrate novel methods for diagnosing melanoma in the clinic using new technologies, which are likely to significantly improve outcomes. Several chapters cover surgical techniques and other present very rare or challenging clinical cases of melanoma and how these were treated. The book is geared towards informing clinicians and even patients how melanoma arises, what tools are available and which decisions need to be made by patients and their families in order to treat this devastating disease.
Échelle d'évaluation de l'aphasie = adaptation française du Boston Diagnostic Aphasia Examination

Exploration detaillee et analytique des troubles du langage acquis. Le Boston Diagnostic Aphasia Examination (BDAE), test d'aphasie mis au point en 1972 par Goodglass et Kaplan est, dans ce domaine, le plus utilise dans le monde. Il explore les fonctions linguistiques de facon systematique et quantitative, permet de comparer des aphasiques entre eux et de juger avec precision leur evolution et les progres realises en cours de leur reeducation. Ce test se compose de trente subtests a la methodologie rigoureuse : deux analyses de variance successives et une analyse des coefficients de correlation ont ete effectuees sur les notes de 40 aphasiques pour etablir la cotation quantitative, le classement et l'appariement de ces subtests. Utilisee dans sa forme complete, cette echelle fournit un etat tres precis des capacites linguistiques du patient. Application : adolescents, adultes. Passation individuelle ; temps de passation : 25 minutes ; temps de correction : 10 minutes.
Estimation Of Formant Frequency Of Speech Signal By Linear Prediction Method And Wavelet Transform

This paper presents a new approach to estimate the formant frequency of the speech signal by using the linear predictive coder(LPC) method and Wavelet Transform. LPC filtering is used to obtain an estimate of vocal tract impulse response which is free from periodicity. Thus linear prediction of the resulting vocal tract impulse response is expected to be free from variations of fundamental frequencies. In this paper a detail study on the prospects of LPC prediction is shown as a formant tracking tool especially for any male speech voice signal to obtain accurate estimation. The solutions obtained by the current method are guaranteed to be stable which makes it superior for many speech analysis applications. Further wavelet transform is applied to denoise the signal and formant frequency of denoised signal is calculated.
DEFEATING MASQUERADE DETECTION

Defeating Masquerade Detection by Avani Kothari A masquerader is an attacker who has obtained access to a legitimate user’s computer and is pretending to be that user. The masquerader’s goal is to conduct an attack while remaining undetected. Hidden Markov models (HMM) are well-known machine learning techniques that have been used successfully in a wide variety of fields, including speech recognition, malware detection, and intrusion detection systems. Previous research has shown that HMM trained on a user’s UNIX commands can provide an effective means of masquerade detection. Naive Bayes is a simple classifier based on Bayes Theorem, which relies on the command frequency. In this project we empirically test various masquerade mimicry strategies, that is, strategies for evading masquerade detection. We develop and analyze four distinct masquerade mimicry strategies and in each case, we give empirical results for their effectiveness at evading Naive Bayes and HMM-based masquerade detection.
Ein einfaches Verfahren zur Identifikation von Ausreißern bei multivariaten Daten

Statistical analysis is often disturbed by objects which are extremely different from the rest of the data. Those outliers can be due to different causes. Therefore it is always recommended to examine them separately. Outliers in one or two-dimensional cases are easily recognized in a frequency distribution. In multidimensional data they can be identified by sub-ordering. It is proposed to do this by calculating pairwise distances. The necessary standardization of the variables can be done by using the sum of all pairwise distances. Proceeding this way possible outliers can easily be identified in tabular as well as in graphical form. It can also be demonstrated which dimension, that is which variables are contributing to the outlier status. As it is quite simple to remove any object or variable, one can see what is happening to the rest of the data without those extreme values.
IMPLEMENTASI WATERMARKING UNTUK PENYEMBUNYIAN DATA PADA CITRA DALAM DOMAIN FREKUENSI MENGGUNAKAN DISCRETE COSINE TRANSFORM

Saat ini banyak karya seni dalam format citra digital. Perkembangan teknologi informasi, terutama internet, memberi kemudahan dalam mengkopi file-file digital dari satu komputer ke komputer lain. Untuk itu diperlukan sebuah sistem keamanan untuk melindungi karya tersebut agar tidak bisa ditiru (dibajak) dengan mudah. Tujuan penelitian ini adalah menerapkan dan menganalisis teknik watermarking untuk melindungi Hak Atas Kekayaan Intelektual (HAKI) atau Intellectual Property Right dengan memberi tanda atau label pada citra digital. Penelitian diimplementasikan pada citra host (citra yang akan diberi label) dan citra watermark (label) dalam format grayscale dengan jenis citra statis yang berekstensi BMP. Citra hasil proses watermarking dinamakan citra watermarked. Proses penyisipan watermark ke dalam citra host dilakukan pada domain frekuensi dengan Discrete Cosine Transform (DCT). Hasil penelitian menunjukkan bahwa citra watermarked masih berkualitas baik, dengan nilai Peak Signal to Noise Ratio (PSNR) yang tinggi antara 46,9 dB sampai dengan 76,3 dB. Hasil ekstraksi watermark dari ctra watermarked menunjukkan bahwa watermark yang disisipkan pada citra host masih dapat diperlihatkan eksistensinya dengan melihat nilai Normalized Cross Correlation (NC) yang berada pada 0,965 sampai dengan 0,988. Hal ini membuktikan bahwa hasil uji terhadap penerapan watermarking memanfaatkan transformasi DCT memiliki ketahanan yang baik terhadap pemrosesan citra, khususnya kompresi lossy JPEG.
Performance comparison of partially space-time adaptive processing algorithms for airborne radar using MCARM data

Researchers have ,developed Space-Time Adaptive Processing (STAP) \, schemes to cope with the clutter spectral spreading that occurs for a radar mounted on a moving platform. Analysis shows fUlly adaptive schemes have' great potential when tested with simulations of homogeneous environments, but the possible inaccurate estimation of the covariance matrix in a nonhomogeneous environment has prompted investigation of partially adaptive STAP (PSTAP) schemes. A general formulation of a PSTAP algorithm is defined and several specific cases are described. Performance is evaluated " using a measured data set. The results indicate that the joint-domain localized and th~ extended factored approach PSTAP algorithms ~rovide good performance while operating in a realistic non-homogeneous environment.
Should we Distinguish Between Static and Dynamic Long Run Equilibrium in Error Correction Models

This paper shows that there is no theoretical foundation to distinguish between static and dynamic long run equilibrium in error correction models with deterministically cointegrated variables, and so, that the so-called dynamic homogeneity restriction aimed at guaranteeing that the two solutions coincide, also lacks a theoretical justification. Examples in which dynamic homogeneity cannot hold are also discussed.
Speaker verification over long distance telephone lines

The authors present the results of speaker-verification technology development for use over long-distance telephone lines. A description is given of two large speech databases that were collected to support the development of new speaker verification algorithms. Also discussed are the results of discriminant analysis techniques which improve the discrimination between true speakers and imposters. A comparison is made of the performance of two speaker-verification algorithms, one using template-based dynamic time warping, and the other, hidden Markov modeling. <<ETX>>
The Elements of User Experience

ti m e Conception Completion Functional Specifications Content Requirements Interaction Design Information Architecture Visual Design Information Design Interface Design Navigation Design Site Objectives User Needs User Needs: externally derived goals for the site; identified through user research, ethno/techno/psychographics, etc. Site Objectives: business, creative, or other internally derived goals for the site This picture is incomplete: The model outlined here does not account for secondary considerations (such as those arising during technical or content development) that may influence decisions during user experience development. Also, this model does not describe a development process, nor does it define roles within a user experience development team. Rather, it seeks to define the key considerations that go into the development of user experience on the Web today. task-oriented information-oriented 30 March 2000 © 2000 Jesse James Garrett http://www.jjg. net/ia/