Miracle-dz/UniFAR-FTUs huggingface dataset:
ACCELERATING FOURIER DOMAIN OPTICAL COHERENCE TOMOGRAPHY USING GENERAL PURPOSE GRAPHICS PROCESSING UNITS AND FIELD PROGRAMMABLE GATE ARRAYS

Fourier Domain Optical Coherence Tomography (FD-OCT) is an emerging biomedical imaging technology that provides ultra high resolution and a fast imaging speed. The complexity of the FD-OCT algorithm demands high processing power from the underlying platform. However, the scaling of faster data acquisition rates and 3-dimensional (3D) imaging on real time FD-OCT systems is quickly outpacing the performance growth of General Purpose Processors (GPPs). Our research investigates the scalability of two potential platforms for accelerating real time FD-OCT imaging — General Purpose Graphical Processing Units (GPGPUs) and Field Programmable Gate Arrays (FPGAs). We implemented a complete FD-OCT system using a NVIDIA GPGPU as co-processor, with a speed up of 6.9x over GPPs. We also created a hardware processing engine using FPGAs, which can deliver more than twice the throughput rate over the GPGPU platform with 1024point FFT. Our analysis on the performance and scalability for both platforms shows that, while GPGPUs offer an easy and low cost solution for accelerating FD-OCT, FPGAs are more likely to match the long term demands for real-time, 3D FD-OCT imaging.
Garbage collector interface

The purpose of the presented garbage collector interface is to provide a universal interface for many different implementations of garbage collectors. This is to simplify the integration and exchange of garbage collectors, but also to support incremental, non-conservative, and thread safe implementations. Due to the complexity of the interface, it is aimed at code generators and preprocessors. Experiences from ongoing implementations indicate that the garbage collector interface successfully provides the necessary functionality in an efficient way,
Impact of Disturbance Locations on Video Quality of Experience

Quality of experience is getting the attention of the research community as well as the industry. In case of real-time streaming, packet loss, delay and jitter degrades the video quality. The player buffer can be emptied due to long delay, which freezes video at playout, while resuming the streaming video content causes jumps to current location. There is the question, how user is going to react to such kind of artifacts with respect to location where they arise. We collected user ratings for videos showing the artifacts due to delay variation as well as freezes and jumps at different locations. We also verified these results with Perceptual Evaluation of Video Quality (PEVQ) application. For delay and delay variation case, the PEVQ results are aligning to the human rating, but both differ in freeze-and-jump case. The users' responses in case of freeze-and-jump shows interesting results with respect to location.
A study of scalability in video compression: Rate -distortion analysis and parallel implementation

Cook, Gregory William. Ph.D., Purdue University, December, 2002. A Study of Scalability in Video Compression: Rate-Distortion Analysis and Parallel Implementation. Major Professor: Edward J. Delp. Theoretical rate-distortion performance bounds are derived and evaluated for both layered and continuously rate scalable video compression algorithms which use a single motion-compensated prediction (MCP) loop. These bounds are derived using ratedistortion theory, and are based on an optimum mean-square error (MSE) quantizer. Consequently, the theory serves as a bound to all possible implementations of MCP scalable video coders which use MSE as a distortion measure. Parametric versions of the rate-distortion functions are derived which are based solely on the input power spectral density and accuracy of the MCP loop. The theory is applicable to scalable video coders which allow prediction drift, such as the data-partitioning and SNRscalability schemes described in the MPEG-2 standard, as well as those with zero prediction drift such as ne granularity scalability MPEG-4. For video coders which allow prediction drift, MCP performed optimally in the encoder is shown to be a suÆcient condition for stability of the decoder. Simulation of the optimal methods correspond well with the published results of actual system implementations. The theory is signi cant because it separates the e ects of scalability from individual scalable video coder implementation artifacts, and can serve as a guide for potential increases in scalable video coder performance. The problem inherent with any digital image or digital video system is the large amount of bandwidth required for transmission or storage. This has driven the research area of image compression to develop more complex algorithms that compress images to lower data rates with better delity. One approach that can be used to increase the execution speed of these complex algorithms is through the use of parallel
Cultural Selection for Learnability: Three hypotheses underlying the view that language adapts to be learnable.

Here is a far-reaching and vitally important question for those seeking to understand the evolution of language: Given a thorough understanding of whatever cognitive processes are relevant to learning, understanding, and producing language, would such an understanding enable us to predict the universal features of language? This question is important because, if met with an affirmative answer, then an explanation for why language evolved to exhibit certain forms and not others must be understood in terms of the biological evolution of the cognitive basis for language. After all, such an account pivots on the assumption that properties of the cognitive mechanisms supporting language map directly onto the universal features of language we observe. We argue against this position, and note that the relation between language universals and any cognitive basis for language is opaque. Certain hallmarks of language are adaptive in the
University language learning and the C-Test

This book contains 12 contributions on questions of learning, instruction and testing foreign languages in universities, by well-known authors including, among others, Alderson, Coleman, Grotjahn, Klein-Braley, Little, Raatz, Singleton and Skahan. In particular the general bases of the language testing and theory and practice of the C-test are represented and interesting results from the extensive European Language Proficiency Survey are covered.
"A website for my subject": The experiences of some academics' engagement with educational designers in a team based approach to developing online learning materials

In recent years Australian universities have increased their focus on flexible delivery and online learning. Successful development of online teaching materials requires both knowledge of pedagogy as it applies to multimedia technologies as well as knowledge of the capabilities of current software and hardware. While academics are familiar with the skills and approaches required to operate in traditional environments they are often not equipped to meet the new demands of web authoring and online course design. Consequently, the potential of the online learning environment to improve the quality of the learning experience often remains unrealised. To address this issue Griffith University, as part of its focus on flexible learning, has established campus based production centres. The centre offers academics the services of multimedia development teams. An educational designer is allocated to work collaboratively with the academic to assist with the design of the online materials and the integration of the online resources into courses. This paper explores the expectations, experiences and perceptions taken from the perspective of ten lecturers within Griffith University, as they engage with the educational designer to develop online learning materials. Motivated by the authors' belief that the development of online learning materials is an endeavour aimed at improving the quality of teaching and learning, this paper seeks to raise some of the issues and concerns which educational designers, as staff developers, need to consider in order to guide interactions with academic staff toward a more fruitful end.
Advanced backend code optimization

Introduction xiii Part 1 Prolog: Optimizing Compilation 1 Chapter 1 On the Decidability of Phase Ordering in Optimizing Compilation 3 Part 2 Instruction Scheduling 23 Chapter 2 Instruction Scheduling Problems and Overview 25 Chapter 3 Applications of Machine Scheduling to Instruction Scheduling 39 Chapter 4 Instruction Scheduling Before Register Allocation 51 Chapter 5 Instruction Scheduling After Register Allocation 77 Chapter 6 Dealing in Practice with Memory Hierarchy Effects and Instruction Level Parallelism 91 Part 3 Register Optimization 119 Chapter 7 The Register Need of a Fixed Instruction Schedule 121 Chapter 8 The Register Saturation 141 Chapter 9 Spill Code Reduction 159 Chapter 10 Exploiting the Register Access Delays Before Instruction Scheduling 177 Chapter 11 Loop Unrolling Degree Minimization for Periodic Register Allocation 191 Part 4 Epilog: Performance, Open Problems 231 Chapter 12 Statistical Performance Analysis: The Speedup-Test Protocol 233 Conclusion 257 Appendix 1 Presentation of the Benchmarks Used in Our Experiments 263 Appendix 2 Register Saturation Computation on Stand-Alone DDG 271 Appendix 3 Efficiency of SIRA on the Benchmarks 279 Appendix 4 Efficiency of Non-Positive Circuit Elimination in the SIRA Framework 293 Appendix 5 Loop Unroll Degree Minimization: Experimental Results 303 Appendix 6 Experimental Efficiency of Software Data Preloading and Prefetching for Embedded VLIW 313 Appendix 7 Appendix of the Speedup-Test Protocol 319 Bibliography 327 Lists of Figures, Tables and Algorithms 345 Index 353
Parallel machine scheduling problem with ready times, due times and sequence-dependent setup times using meta-heuristic algorithms

This article considers a parallel machine scheduling problem with ready times, due times and sequence-dependent setup times. The objective of this problem is to determine the allocation policy of jobs and the scheduling policy of machines to minimize the weighted sum of setup times, delay times and tardy times. A mathematical model for optimal solution is derived. An in-depth analysis of the model shows that it is very complicated and difficult to obtain optimal solutions as the problem size becomes large. Therefore, two meta-heuristics, genetic algorithm (GA) and a new population-based evolutionary meta-heuristic called self-evolution algorithm (SEA), are proposed. The performances of the meta-heuristic algorithms are evaluated through comparison with optimal solutions using several randomly generated examples.
Caméras virtuelles pour la calibration d'un système de réalité augmentée composé d'un écran transparent et deux caméras à champs disjoints

Une nouvelle methode de calibration extrinseque pour systemes de realite augmentee sur affichages transparents est proposee. Elle est principalement destinee a un systeme compose d'un ecran semi-transparent, d'une camera de suivi de l'utilisateur et d'une autre camera, a champ dis- joints, pour localiser le systeme au sein de l'environne- ment mais facilement generalisable. L'algorithme se base sur des indications fournies par l'utilisateur sur la projection apparente sur l'ecran de points de reference d'un objet connu. Une estimation convexe est calculee grâce a la calibration de cameras virtuelles et sert d'initialisation a un ajustement de faisceaux global. Des experiences sur donnees synthetiques et reelles montrent le bien-fonde de cette approche. Ceci est une traduction de la publication originale.
The Standard Operations Order Format: Is Its Current Form and Content Sufficient for Command and Control?

Abstract : This study assesses the sufficiency of the current operations order format through an examination of its form and content. First, the study uses current communications and cognitive theory to evaluate the form of the operations order. These theories are used to relate the sequencing of information elements in the order with the receipt and understanding of the information by the receivers. Next, the study determines what information elements are required to be communicated in the orders format. The analysis considers three factors that influence the contents of the order. First, current command and control theory and doctrine is considered and their influence on the orders content determined. Secondly, an historical analysis of the evolution of the operation order format is conducted. The emerging information elements within the orders formats are used to infer information requirements. Thirdly, modern group dynamics theory for organizational performance is assessed and the corresponding information elements required to perform group tasks are determined. The study concludes with a comprehensive evaluation of the form and content of the operations order format together with a qualitative assessment of its sufficiency to command and control forces. Finally, the study proposes several modifications to the current operations order format format that are intended to improve its utility.
Fault Diagnosis for Non-minimum Phase Systems using Xm Optimization.

Analysis and design algorithms for residual generators for non minimum phase systems are given. It is shown that Rm optimization of residual generators applied directly to systems including non minium phase zeros can be very conservative. To remove this conservatism in the H, optimization of the residual generators, a factorization of the non minimum phase system into a minimum phase part and an all-pass factor including the non minimum phase zeros can be applied. The optimization of the residual generator can then be done with respect to the minimum phase part of the system only. It is shown that the effect from the all-pass factor will not affect the 2-norm of the residual vector.
Dynamic Transparency for 3D Visualization: Design and Evaluation

Recent developments in occlusion management for 3D environments often involve the use of dynamic transparency, or “virtual X-ray vision”, to promote target discovery and access in complex 3D worlds. However, there are many different approach- es to achieving this effect and their actual utility for the user has yet to be evaluated. Furthermore, the introduction of semi- transparent surfaces adds additional visual complexity that may actually have a negative impact on task performance. In this paper, we report on an empirical user study investigating these human aspects of dynamic transparency. Our implementation of the technique is an image-space algorithm built using modern programmable shaders to achieve real-time performance and visually pleasing results. Results from the user study indicate that dynamic transparency provides superior performance for perceptual tasks in terms of both efficiency and correctness. Subjective ratings are also firmly in favor of the method.
A digital read/write channel with EEPR4 detection

This device increases the inter-symbol interference (ISI) manageable in a magnetic-media read channel. It re-configures analog and digital circuits by registers to optimize read and write channels. The 51 mm/sup 2/ device is fabricated in a standard 0.8 /spl mu/m single-poly double-metal CMOS process, and contains 128 k transistors. No external components are required for operation other than standard decoupling capacitors. Most of the circuits are active while reading data from the media (data mode), and techniques such as the use of differential analog structures, dedicated supply routes and substrate connections, and shields are employed to control digital interference. <<ETX>>
Equalization approaches for millimeter-wave fixed broadband wireless access systems

The main objective of this research is to investigate, based upon the measured outdoor channel characteristics, if an equalizer is required in the LMCS/LIMDS system receiver over a range of bit rates and if any, then of what type and complexity? Then the viability and complexity of applying maximum likelihood sequence estimation (MLSE) as an alternative to DFE is studied and the error bounds obtained by applying DFE and MLSE are compared.
Applications Of Machine Learning In Biology And Medicine

Advisor Date DEDICATION To my parents Mohammad and Maryam, and my brother Hamid without whom none of this would have been possible! ii ACKNOWLEDGMENTS I feel delighted to express my gratitude to all the individuals who encouraged and supported me throughout my graduate career. I have learned about how to ask the right questions and put it down in writing, I learned from him. His unrivaled commitment and endless enthusiasm in research will always be an inspiration. I thank Dr. Alper Murat for his wonderful course on nonlinear optimization, which was the starting point on some of my later research, and also for being on my graduate committee.
Social Capital: An Introduction to Managing Networks

Foreword Part I: Theory and Applications 1. Social Capital and Social Networks in Action 2. Central Concepts: Social Capital, Strong and Weak 3. Sociocentric Perspectives with Applications to Human Resources 4. Egocentric Concepts and Applications Part II: Data Methods 5. Obtaining Data 6. Handling Data I: Preparations 7. Handling Data II: Visualizations Part III: Analytic Methods 8. Analyzing Structure 9. Analyzing Positions 10. Social Networks and Social Capital in Action, Revisited References Index
Power scheme for Ad-hoc on Demand Distance Vector routing for Mobile Ad Hoc Networks

The communication within a mobile AdHoc network requires an efficient routing protocol to discover routes between mobile nodes. Power is one of the most important design criteria for AdHoc networks as batteries provide limited working capacity to the mobile nodes. Power failure of a mobile node not only affects the node itself but also its ability to forward packets on behalf of others and hence affects the overall network lifetime. In this paper, we propose a power scheme for AdHoc on demand routing protocol which maximizes the network lifetime by minimizing the power consumption during the source to destination route establishment. PAODV reduces the energy consumption of the nodes in a network by routing packets on routes that consume the minimum amount of power to get the packets to their destination. The proposed algorithm has been compared with the existing AODV protocol and its simulation result shows that proposed protocol performance is better as compared to AODV in terms of packet delivery ratio
Breast ultrasound computed tomography using waveform inversion with source encoding

Ultrasound computed tomography (USCT) holds great promise for improving the detection and management of breast cancer. Because they are based on the acoustic wave equation, waveform inversion-based reconstruction methods can produce images that possess improved spatial resolution properties over those produced by ray-based methods. However, waveform inversion methods are computationally demanding and have not been applied widely in USCT breast imaging. In this work, source encoding concepts are employed to develop an accelerated USCT reconstruction method that circumvents the large computational burden of conventional waveform inversion methods. This method, referred to as the waveform inversion with source encoding (WISE) method, encodes the measurement data using a random encoding vector and determines an estimate of the speed-of-sound distribution by solving a stochastic optimization problem by use of a stochastic gradient descent algorithm. Computer-simulation studies are conducted to demonstrate the use of the WISE method. Using a single graphics processing unit card, each iteration can be completed within 25 seconds for a 128 × 128 mm2 reconstruction region. The results suggest that the WISE method maintains the high spatial resolution of waveform inversion methods while significantly reducing the computational burden.
Macarthur stem story battery: narrativas infantis como acesso às representações mentais

MacArthur Stem Story Battery: Child Narratives as Access to Mental Representations The objective of this study was to identify and compare the mental representations of abused and non-abused children based on MSSB narratives, and to evaluate the initial psychometric properties of such instrument. Ninety school age children, from 6-10 years old (M=8.0), participated in the study, of which 30 were victims of mistreatment and 60 were non-victims. The instruments used were the SDQ and MSSB. Mental representations of abused children were portrayed as more negative when compared to non-abused ones, with more aggressive characteristics indicating low emotional regulation and impulsivity in the face of conflicting situations, and more insecure and ineffective care figures. Some items of the MSSB also evidenced an ability to discriminate the groups in a significant way, in addition to presenting good reliability indices. The narratives are shown as a useful resource for the evaluation and planning of therapeutic interventions with these children. Development of new national studies is recommended in order to improve valid techniques and to understand representations in the field of child violence.
A Study of Signal Decorrelation Through the Ionosphere

Signals in a satellite-earth communication link pass through the ionosphere where there may exist random irregularities. These random irregularities will scatter and distort the Signal, producing a fading channel. Such a channel is generally characterized by the symmetric and asymmetric correlation functions. Approximate solutions for these functions have been obtained and the results plotted for typical ionospheric parameters. Some of the results are shown in terms of coherence bandwidth.
Development of 2 DOF force display system using ER actuators

Force display systems are very important devices in many fields such as virtual reality, human interface, medical treatment, and amusement etc. A force display system is a kind of robot system which presents a force sense to human being. Since the operator must grip the tip of the robot system directly, the maneuverability and kinetic safety of the system become very important. Many force display systems or haptic interfaces have been developed which used servo motors for their actuators. But, the conventional servo motor does not always suit for the force display system. We developed a new actuator using ER fluid. The ER actuator has the characteristics which suit for the force display system. Then, we developed a 2 DOF force display system using ER actuators. This system can provide good force senses in various situations.