Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive control tutorial

Preface Acknowledgements List of acronyms 1. Introduction 2. Parametric models 3. Parameter identification: continuous time 4. Parameter identification: discrete time 5. Continuous-time model reference adaptive control 6. Continuous-time adaptive pole placement control 7. Adaptive control for discrete-time systems 8. Adaptive control of nonlinear systems Appendix Bibliography Index.
Glued to Games

This book offers a practical yet powerful way to understand the psychological appeal and strong motivation to play video games. With video game sales in the billions and anxious concerns about their long-term effects growing louder, Glued to Games: How Video Games Draw Us In and Hold Us Spellbound brings something new to the discussion. It is the first truly balanced research-based analysis on the games and gamers, addressing both the positive and negative aspects of habitual playing by drawing on significant recent studies and established motivational theory. Filled with examples from popular games and the real experiences of gamers themselves, Glued to Games gets to the heart of gaming's powerful psychological and emotional allure—the benefits as well as the dangers. It gives everyone from researchers to parents to gamers themselves a clearer understanding the psychology of gaming, while offering prescriptions for healthier, more enjoyable games and gaming experiences.
Can you tell if tongue movements are real or synthetic

We have investigated if subjects are aware of what natural tongue movements look like, by showing them animations based on either measurements or rule-based synthesis. The issue is of interest since a previous audiovisual speech perception study recently showed that the word recognition rate in sentences with degraded audio was signiﬁcantly better with real tongue movements than with synthesized. The subjects in the current study could as a group not tell which movements were real, with a classiﬁcation score at chance level. About half of the subjects were signiﬁcantly better at discriminating between the two types of animations, but their classiﬁcation score was as often well below chance as above. The correlation between classiﬁcation score and word recognition rate for subjects who also participated in the perception study was very weak, suggesting that the higher recognition score for real tongue movements may be due to subconscious, rather than conscious, processes. This ﬁnding could potentially be interpreted as an indication that audiovisual speech perception is based onarticulatory gestures.
Aplikasi Hybrid Firefly Algorithm untuk Pemecahan Masalah Traveling Salesman: Studi Kasus pada PT Anugerah Mandiri Success

Determining a good route is a major problem in a transport process in the company. This case study aims to overcome the problem of determining the route or often called the Traveling Salesman Problem (TSP) is optimal. This problem will be solved by the optimization method in determining the route, which is more systematic in PT Anugerah Mandiri Success. Metaheuristic methods, such as Hybrid Firefly Algorithm is used to assist the system in the process of determining the route. Hybrid Firefly Algorithm combines heuristic method of Nearest Neighbor Heuristic with metaheuristic method of Levy Flight Discrete Firefly Algorithm. The indicators used in this case study are the total distance traveled and total fuel used. Methods Object Oriented Analysis and Design (OOAD) is used to develop an information system, which consists of determining system requirements, system architecture design, and design to the trials of the system were developed. The results of the constructed system provide a solution in the form of route determination with a total distance of 165.1 kilometers with a fuel consumption of 11,793 liters. These results are much better when compared with historical data that has a total distance of 260.8 kilometers with a fuel consumption of 18,628 liters.
Cascading a systolic array and a feedforward neural network for navigation and obstacle avoidance using potential fields

A technique is developed for vehicle navigation and control in the presence of obstacles. A potential function was devised that peaks at the surface of obstacles and has its minimum at the proper vehicle destination. This function is computed using a systolic array and is guaranteed not to have local minima. A feedfoward neural network is then used to control the steering of the vehicle using local potential field information. In this case, the vehicle is a trailer truck backing up. Previous work has demonstrated the capability of a neural network to control steering of such a trailer truck backing to a loading platform, but without obstacles. Now, the neural network was able to learn to navigate a trailer truck around obstacles while backing toward its destination. The network is trained in an obstacle free space to follow the negative gradient of the field, after which the network is able to control and navigate the truck to its target destination in a space of obstacles which may be stationary or movable.
Applying Instructional Design Principles to CAI for Mildly Handicapped Students: Four Recently Conducted Studies

This report summarizes four recently conducted studies involving computer assisted instruction for mildly handicapped secondary students. A variety of CAI programs were used—drill and practice, tutorial, and simulation—and each study focused on the effects of specific instructional design variables. Three of the four studies produced statistically significant differences for the experimental treatments, indicating that sophisticated instructional design principles can make a considerable difference in the effectiveness of an instructional program. This research agenda also has implications for teaching practices which work in concert with the principles used in designing a practical CAI programs.
Positioning In Indoor Environments Based on INS and RF Sensor Fusion

The past few years have witnessed an increasing demand for positioning applications in indoor environments. Several technologies have been employed to develop systems which can efficiently perform the positioning task in such environments. However, most of the available systems are either large and expensive or insufficiently accurate to be reliable for some of the critical applications. This thesis describes the development of an indoor positioning system which can provide portability, minimum cost and sufficient accuracy. Two of low cost sensor technologies have been utilised in this research; Inertial Navigation Systems (INS) and a positioning system based on the Bluetooth technology. The development of final system has been targeted by first optimizing the performance of each individual system using a series of proposed methods. Fusion of the measurements from the optimised systems in then performed using suitable fusion filters, such as Kalman and particle filter. Considering the INS based applications, a gravity compensation method is used for filtering the gravitational changes which corrupt the outputs of the accelerometers. A different method is then applied to automatically reset the INS errors found when obtaining the distance travelled by moving objects based on the measured accelerations. In enhancing the performance of the Bluetooth positioning system, a method has been developed to dynamically calibrate the radio frequency (RF) signal parameters to adapt for the environmental changes. In each of the developed methods, necessary verifications and testing have been done through simulations as well as using experimental setup designed for each of the sensor technologies. Final results show that the INS errors have been significantly reduced using the proposed resetting method which also extended the operational time from few seconds to several minutes. The performance of the Bluetooth based system has achieved positioning error of less than 1.5 metres using the proposed dynamic calibration method. Testing results of the fusion of the two optimised systems showed that the positioning error of the final system can be reduced to less than 1 metre when using either of the fusion filters. Furthermore, the fusion of the INS have demonstrated a positive impact in lowering the number of the Bluetooth reference nodes needed for achieving an adequate indoor positioning accuracy, hence cutting the overall cost when deploying the final system in real indoor applications.
Probabilistic Approach to Geometry

The first Seasonal Institute of the Mathematical Society of Japan (MSJ-SI) “Probabilistic Approach to Geometry” was held at Kyoto University, Japan, on 28th July 2008 – 8th August, 2008. The conference aimed to make interactions between Geometry and Probability Theory and seek for new directions of those research areas. This volume contains the proceedings, selected research articles based on the talks, including survey articles on random groups, rough paths, and heat kernels by the survey lecturers in the conference. The readers will benefit of exploring in this developing research area.Published by Mathematical Society of Japan and distributed by World Scientific Publishing Co. for all markets except North America
An Introduction to Virtual Learning Enviroments

In this paper we briefly introduce virtual learning environments, which have become integral to online learning (or e-learning) in higher education around the world. We describe what they are, the functionality they provide and the kinds of benefits they offer universities, with particular reference to the subject of economics. We also touch on some considerations concerning the e-learning software itself, setting their development in a historical perspective. In our analysis we draw especially on practices in the UK with illustrations from WebLearn, the virtual learning environment used by the University of Oxford.
Gaussian Mixture Model based Spatial Information Concept for Image Segmentation

Segmentation of images has found widespread applications in image recognition systems. Over the last two decades, there has been a growing research interest in model-based technique. In this technique, standard Gaussian mixture model (GMM) is a well-known method for image segmentation. The model assumes a common prior distribution, which independently generates the pixel labels. In addition, the spatial relationship between neighboring pixels is not taken into account of the standard GMM. For this reason, its segmentation result is sensitive to noise. To reduce the sensitivity of the segmented result with respect to noise, Markov Random Field (MRF) models provide a powerful way to account for spatial dependencies between image pixels. However, their main drawback is that they are computationally expensive to implement. Based on these considerations, in the first part of this thesis (Chapter 4), we propose an extension of the standard GMM for image segmentation, which utilizes a novel approach to incorporate the spatial relationships between neighboring pixels into the standard GMM. The proposed model is easy to implement and compared with the existing MRF models, requires lesser number of parameters. We also propose a new method to estimate the model
Deepening Understanding of Science Content Through Text Structure Instruction

DEEPENING UNDERSTANDING OF SCIENCE CONTENT THROUGH TEXT STRUCTURE INSTRUCTION Karen Louise Thomas Department of Teacher Education Master of Arts The purpose of this study was to examine the effectiveness of an instructional program designed to explicitly teach text structure awareness to fourth grade students to assist in their understanding of science content in a unit of study on weather. The changes that occurred in teacher thinking and practice were also examined throughout the process of developing and implementing the instructional program. A quantitative analysis was performed to reveal any differences in mean posttest scores between a control group and a treatment group. Results indicated that the treatment group students’ science content knowledge was increased significantly more than the students in the control group. A qualitative analysis was also performed to reveal the changes that occurred while this program was implemented into science instruction. Results indicated that by using research and results to guide her instruction, the researcher became more refined as a teacher. Recommendations for further research are discussed.
Quality-of-Service Control Scheme for Wireless Local Area Networks

Progress in the Internet services and the development of high-performance communication devices have promoted rapid adoption of broadband wired and wireless communications. Especially with regard to wireless communications, the number of wireless local area network (WLAN) users has exploded in recent years. Therefore, this thesis deals with techniques related WLANs and wireless sensor networks, which represent a sophistication extension of WLANs. Wireless communication suffers from several inherent problems that make its throughput lower than that of wired communication and its bit error rate higher than that of wired communication. Effective solutions include Multiple-Input Multiple-Output (MIMO), multi-level modulation schemes, and powerful error correction codes. Although these advances can satisfy user demands, which are stimulated by the advanced features of wireless terminals, the advances are not enough. In order to use the limited radio resources efficiently and to provide services with the highest possible quality, it is so important to achieve fair use of all radio resources. Quality-of-service (QoS) control technology in the medium access control (MAC) layer can use the limited radio resources to guarantee the desired service quality of each user. In this thesis, the problems of conventional technologies in achieving of services that distribute throughput equally and guarantee transmission delay, etc. are clarified and solutions to these problems are described. In order to realize QoS control in wireless communications, radio resource control in the MAC layer is indispensable because the MAC layer protocol achieves important role to guarantee QoS. There are two kinds of resource control schemes for wireless communication system: centralized access control and distributed access control. The former are mainly used to realize asynchronous transfer mode (ATM) transport, while the latter are used to realize of Ethernet mode transport in wireless communication. These have developed as transmission modes for specific technical domains. In Chapter 3, we clarify the problem of the drastic increase in transmission delay when, under the centralized access approach, only one kind of resource request method is employed. A new resource management scheme is proposed that dynamically selects one polling scheme or one random access scheme as a radio resource request method so as to guarantee the minimum transmission bandwidth for each user while fairly sharing the surplus bandwidth. In this chapter, we also reveal the effectiveness of the proposed scheme in providing smaller transmission delay than the conventional schemes. Chapter 4 introduces a new transmission control scheme that offers stable transmission rate control and guarantees fair share of throughput even when the round trip time (RTT) of the radio link is large for ATM mode under the centralized access approach. The proposed scheme predicts the transmission rate of each wireless terminal and controls it by applying the
Emerging 3D technologies for efficient implementation of FPGAs

The ever increasing complexity of digital systems leads the reconfigurable architectures such as Field Programmable Gate Arrays (FPGA) to become highly demanded because of their in-field (re)programmability and low nonrecurring engineering (NRE) costs. Reconfigurability is achieved with high number of point configuration memories which results in extreme application flexibility and, at the same time, significant overheads in area, performance, and power compared to Application Specific Integrated Circuits (ASIC) for the same functionality. In this thesis, we propose to design FPGAs with several 3D technologies for efficient FPGA circuits. First, we integrate resistive memory based blocks to reduce the routing wirelength and widen FPGA employability for low-power applications with non-volatile property. Among many technologies, we focus on Oxide Resistive Memory (OxRRAM) and Conductive Bridge Resistive Memory (CBRAM) devices by assessing unique properties of these technologies in circuit design. As another solution, we design a new FPGA with 3D monolithic integration (3DMI) by utilizing high-density interconnects. Starting from two layers with logic-on-memory approach, we examine various partitioning schemes with increased number of integrated active layers to reduce the routing complexity and increase logic density. Based on the obtained results, we demonstrate that multi-tier 3DMI is a strong alternative for future scaling.
Oboe Art and Method

CONTENTS PART I: FUNDAMENTALS . Chapter 1: Posture, Breathing, and Support Chapter 2: Embouchure and Other Matters of Tone Production Chapter 3: Finger Facility Chapter 4: Articulation Chapter 5: Expression Chapter 6: Practice Chapter 7: Extended Techniques PART II: REED MAKING Chapter 8: Reed Construction Chapter 9: Reed Evaluation and Adjustment PART III: EQUIPMENT AND ITS CARE Chapter 10: Instrument Selection, Care, and Adjustment Chapter 11: Selection and Care of Tools and Equipment PART IV: PROFESSIONAL AND PERFORMANCE CONSIDERATIONS Chapter 12: Professional Behavior and Deportment Chapter 13: Career Development APPENDIX 1: THOUGHTS FOR THE COMPLETE BEGINNER APPENDIX 2: FINGERING CHART FOR OBOE AND ENGLISH HORN APPENDIX 3: TRILL FINGERING CHART FOR OBOE AND ENGLISH HORN NOTES BIBLIOGRAPHY
Topics in Delay Tolerant Networks (DTNs) : reliable transports, estimation and tracking

Mobile Ad hoc NETworks (MANETs) aim at making communication between mobile nodes feasible without any infrastructure support. Sparse MANETs fall into the class of Delay Tolerant Networks which are intermittently connected networks and where there is no contemporaneous end-to-end path at any given time. We first, propose a new reliable transport scheme for DTNs based on the use of ACKnowledgments and random linear coding. We model the evolution of the network under our scheme using a fluid-limit approach. We optimize our scheme to obtain mean file transfer times on certain optimal parameters obtained through differential evolution approach. Secondly, we propose and study a novel and enhanced ACK to improve reliable transport for DTNs covering both unicast and multicast flows. We make use of random linear coding at relays so that packets can reach the destination faster. We obtain reliability based on the use of so-called Global Selective ACKnowledgment. We obtain significant improvement through G-SACKs and coding at relays. Finally, we tackle the problem of estimating file-spread in DTNs with direct delivery and epidemic routing. We estimate and track the degree of spread of a message in the network. We provide analytical basis to our estimation framework alongwith insights validated with simulations. We observe that the deterministic fluid model can indeed be a good predictor with a large of nodes. Moreover, we use Kalman filter and Minimum- Mean-Squared-Error (MMSE) to track the spreading process and find that Kalman filter provides more accurate results as compared to MMSE
Model-predictive Collision Avoidance in Teleoperation of Mobile Robots

In this thesis, a human-in-the-loop control system is presented to assist an operator in teleoperation of a mobile robot. In a conventional teleoperation paradigm, the human operator would directly navigate the robot without any assistance which may result in poor performance in complex and unknown task environments due to inadequacy of visual feedback. The proposed method in this thesis builds on an earlier general control framework that systematically combines teleoperation and autonomous control subtasks. In this approach, the operator controls the mobile robot (slave) using a force-feedback haptic interface (master). Teleoperation control commands coordinate master and slave robots while an autonomous control subtask helps the operator avoid collisions with obstacles in the robot task environment by providing corrective force feedback. The autonomous collision avoidance is based on a Model Predictive Control (MPC) philosophy. The autonomous subtask control commands are generated by formulating and solving a constrained optimization problem over a rolling horizon window of time into the future using system models to predict the operator force and robot motion. The goal of the optimization is to prevent collisions within the prediction horizon by applying corrective force feedback, while minimizing interference with the operator teleoperation actions. It is assumed that the obstacles are stationary and sonar sensors mounted on the mobile robot measure the obstacle iv distances relative to the robot. Two formulation of MPC-based collision avoidance are proposed. The first formulation directly incorporates raw observation points as constraints in the MPC optimization problem. The second formulation relies on a line segment representation of the task environment. This thesis employs the wellknown Hough transform method to effectively transform the raw sensor data into line segments. The extracted line segments constitute a compact model for the environment that is used in the formulation of collision constraints. The effectiveness of the proposed model-predictive control obstacle avoidance schemes is demonstrated in teleoperation experiments where the master robot is a 3DOF haptic interface and the slave is a P3-DX mobile robot equipped with eight (8) sonar sensors at the front.
Dynamic Assessment in Practice: Clinical and Educational Applications

Part I. Theory and Principles: 1. Introduction to dynamic assessment 2. A model of mental functioning 3. General procedural guidelines for conducting an assessment that includes dynamic assessment Part II. Applications: 4. Dynamic assessment in clinical settings 5. Dynamic assessment in educational settings 6. Applying dynamic assessment with young children 7. Applying dynamic assessment with school age children 8. Applying dynamic assessment with adults and seniors 9. Writing reports and developing IEPs and service plans 10. Conclusions and special issues References Appendices.
THE E-CONTENT DISTRIBUTION PLATFORM FOR INTERNET VIRTUAL UNIVERSITY SERVICES

The e-content development methods are the most important task that has to be solved for electronic lessons implementation. The second important work that has to be done concerns data files distribution for eligible users of an Internet education resources database. These demanding solutions are integrating different levels and different technologies of programming. The paper describes several aspects of an Internet e-content databases structure and services needed for their content distribution, using high level Internet resources protection standards.
Mobile Interface Theory

Introduction: The Pathways of Locative Media 1. Embodiment and the Mobile Interface 2. Mapping and Representations of Space 3. Locative Interfaces and Social Media 4. The Ethics of Immersion in Locative Games 5. Performances of Asynchronous Time 6. Site-Specific Storytelling and Reading Interfaces 7. Conclusion: Movement/Progress/Obsolescence: On the Politics of Mobility