Miracle-dz/UniFAR-FTUs huggingface dataset:
Truth goggles : automatic incorporation of context and primary source for a critical media experience

Falsehoods come in many forms. Politicians and advertisers make false claims, newsrooms and bloggers make mistakes, and the ease of publication and sharing makes it easy for even the most incredible theories to quickly spread. The risk of interpreting fiction as truth is significant and it is only increasing. How can technology protect consumers from falling into the traps set by dubious information? This thesis is an exploration of the challenges and possibilities surrounding the implementation of interfaces that mitigate the effects of misinformation. It contains an analysis of the pitfalls, considerations, and opportunities in the space of digital credibility. Those lessons are then applied to Truth Goggles, a technology prototype that attempts to trigger critical thinking in digital media consumers and codify the process of fair analysis. Thesis Supervisor: Henry Holtzman Title: Research Scientist, Media Lab
A comparison of uplink channel estimation techniques for MC/JD-CDMA transmission systems

The problem of MIMO (multiple input multiple output) uplink channel estimation in MC/JD-CDMA (multi-carrier joint detection code division multiple access) systems is dealt with. Two different estimation approaches are proposed. The first approach is capable of directly estimating the desired samples of the so-called combined impulse response while the second approach relies on the well-known concept of estimating the samples on an unknown channel impulse response. In the course of the paper, the two approaches are discussed indicating both their advantages and drawbacks. Finally, simulation results are presented to facilitate a comparison of two approaches using a realistic channel model.
Principles of Instructional Design

PART I: INTRODUCTION TO INSTRUCTIONAL SYSTEMS. 1. Introduction to Instructional Design. 2. Designing Instructional Systems. 3. The Outcomes of Instruction. 4. Varieties of Learning: Intellectual Skills and Strategies. 5. Varieties of Learning: Information, Motor Skills, and Attitudes. 6. The Learner. PART II: BASIC PROCESSES IN LEARNING AND INSTRUCTION. 7. Defining Performance Objectives. 8. Analysis of a Learning Task. 9. Designing Instructional Sequences. 10. The Events of Instruction. 11. Technology Affordances. 12. Designing the Individual Lesson. 13. Assessing Student Performance. 14. Group Learning Environments. 15. Online Learning. 16. Evaluating Instruction.
Sliding mode control : theory and applications

In the formation of any control problem there will be discrepancies between the actual plant and the mathematical model for controller design. Sliding mode control theory seeks to produce controllers to over some such mismatches. This text provides the reader with a grounding in sliding mode control and is appropriate for the graduate with a basic knowledge of classical control theory and some knowledge of state-space methods. From this basis, more advanced theoretical results are developed. Two industrial case studies, which present the results of sliding mode controller implementations, are used to illustrate the successful practical application theory.
A novel experimental setup for Atlas II robot using Visual Basic

Considering the rapid development in using PCs and advance computer graphics, simulation and control of robots and graphical representation and prediction of the programmed movement seems essential. On these bases, by using the Visual Basic programming language and under the MS Windows graphical operating system, a software has been developed that simulates the Atlas II robot movement. Three experiments are designed-system acquaintance, direct kinematics and inverse kinematics-for using this software in the robotics lab. Also three observing aspects for showing direct kinematics, inverse kinematics and point-to-point movement are covered in this package. This package with a little change in the source program can be used for any robot in order to show and simulate its movement program for any educational or industrial purposes.
An interactive environment for signal processing on a VAX computer

We have developed a software package, ISPUD, which has proven useful for signal processing. The package is based on the principles of data abstraction and represents signals as high-level data objects. It uses a simple interpreter to provide an easy-to-use, interactive, and extensible processing environment. In contrast to other abstraction-based packages, which require single-user LISP machines, ISPUD runs on a multi-user VAX with graphics terminals.
Wireless-Uplinks-Based Energy-Efficient Scheduling in Mobile Cloud Computing

Mobile cloud computing (MCC) combines cloud computing and mobile internet to improve the computational capabilities of resource-constrained mobile devices (MDs). In MCC, mobile users could not only improve the computational capability of MDs but also save operation consumption by offloading the mobile applications to the cloud. However, MCC faces the problem of energy efficiency because of time-varying channels when the offloading is being executed. In this paper, we address the issue of energy-efficient scheduling for wireless uplink in MCC. By introducing Lyapunov optimization, we first propose a scheduling algorithm that can dynamically choose channel to transmit data based on queue backlog and channel statistics. Then, we show that the proposed scheduling algorithm can make a tradeoff between queue backlog and energy consumption in a channel-aware MCC system. Simulation results show that the proposed scheduling algorithm can reduce the time average energy consumption for offloading compared to the existing algorithm.
Contributions to high-dimensional pattern recognition

This thesis gathers some contributions to statistical pattern recognition particularly targeted at problems in which the feature vectors are high-dimensional. Three pattern recognition scenarios are addressed, namely pattern classification, regression analysis and score fusion. For each of these, an algorithm for learning a statistical model is presented. In order to address the difficulty that is encountered when the feature vectors are high-dimensional, adequate models and objective functions are defined. The strategy of learning simultaneously a dimensionality reduction function and the pattern recognition model parameters is shown to be quite effective, making it possible to learn the model without discarding any discriminative information. Another topic that is addressed in the thesis is the use of tangent vectors as a way to take better advantage of the available training data. Using this idea, two popular discriminative dimensionality reduction techniques are shown to be effectively improved. For each of the algorithms proposed throughout the thesis, several data sets are used to illustrate the properties and the performance of the approaches. The empirical results show that the proposed techniques perform considerably well, and furthermore the models learned tend to be very computationally efficient.
Analisa Teknik Adaptive Histogram Equalization dan Contrast Stretching untuk Perbaikan Kualitas Citra

Citra dengan kualitas yang lebih baik akan memudahkan proses pengolahan selanjutnya. Penelitian ini akan melakukan analisa kinerja dua buah teknik yaitu ekualisasi histogram adaptif (Adaptive Histogram Equalization, AHE) dan perenggangan kontras (Contrast Stretching, CS). Kedua teknik ini dapat meningkatkan kualitas atau memperjelas objek pada citra. Teknik CS merupakan proses perbaikan citra melalui operasi titik sedangkan AHE melalui operasi spasial. Pada teknik AHE akan menggunakan 3 ukuran blok (sub-image) yaitu 2x2, 8x8, dan 16x16 piksel. Citra uji dalam format JPEG dengan ukuran bervariasi sebanyak 12 buah memiliki kualitas tampilan yang berbeda-beda. Citra uji memiliki sebuah atau beberapa objek yang tampak jelas atau tidak begitu jelas. Variasi tingkat keredupan, kecerahan, tekstur pada latar belakang dan tekstur pada objek dapat digunakan sebagai parameter pengujian perbaikan kualitas citra. Hasil penelitian ini dapat dijadikan pertimbangan dalam memilih metode perbaikan kualitas citra untuk praproses pengolahan citra. Hasil ekualisasi histogram adaptif belum dapat dikatakan lebih baik dari perenggangan kontras, atau sebaliknya. Hal ini disebabkan oleh pengaruh kondisi atau komposisi citra asli. Pada ekualisasi histogram adaptif, ukuran blok (sub-image) 2x2 dapat digunakan untuk proses perbaikan kualitas citra dan semakin besar ukuran blok (> 8x8 piksel) mengakibatkan objek menjadi semakin terdistorsi. Kata kunci: perbaikan kualitas citra, ekualisasi histogram adaptif, perenggangan kontras
Channel-Adaptive Technologies and Cross-Layer Designs for Wireless Systems with Multiple Antennas: Theory and Applications

Where you can find the channel adaptive technologies and cross layer designs for wireless systems with multiple antennas theory and applications wiley series in telecommunications and signal processing easily? Is it in the book store? On-line book store? are you sure? Keep in mind that you will find the book in this site. This book is very referred for you because it gives not only the experience but also lesson. The lessons are very valuable to serve for you, that's not about who are reading this channel adaptive technologies and cross layer designs for wireless systems with multiple antennas theory and applications wiley series in telecommunications and signal processing book. It is about this book that will give wellness for all people from many societies.
Análisis de detección de Code Smells para el lenguaje JavaScript

En este trabajo se propone el analisis de code smells para la deteccion de los mismos en ellenguaje JavaScript a partir de la creacion de un catalogo basado en metricas, y considerando el catalogo de metricas propuesto por Lanza y Marinescu . En el presente trabajo, se analizaron las metricas que se definen en la deteccion de code smells en el lenguaje Java, y se adaptaron hacia su uso en el lenguaje JavaScript. Para ello se tomo como base el catalogo propuesto por Lanza y Marinescu para el lenguaje Java. Debido a las diferencias entre los dos lenguajes, se identifico que algunos code smells se pueden aplicar sin modificaciones previas, otros son adaptados de acuerdo a las caracteristicas de JavaScript y, otros smells, no tienen sentido en el contexto de JavaScript. Parrafo extraido de la tesis de grado a modo de resumen.
Modeling and small-signal analysis of controlled on-time boost power factor correction circuit

A large-signal average model for the controlled on-time boost power factor correction (PFC) circuit is developed and subsequently linearized resulting in a small-signal model for the PFC circuit. AC analyses are performed using the small-signal model, revealing new results on small-signal dynamics of the PFC circuit. The analysis results and model predictions are confirmed with experimental measurements on a 200 W prototype PFC circuit.
The SecurePhone PDA Database, Experimental Protocol and Automatic Test Procedure for Multimodal User

For security reasons it is necessary that all client profiles, as well as any world models used during verification, are stored on the PDA SIM card. This imposes a strong limitation on the memory available for client profile storage. The SecurePhone also requires fast enrolment. This does not permit the use of text independent models, which require a large amount of model storage and training data. The test procedure therefore tests only the use of fixed-text prompts. For systems which do not have such constraints, tests based on client-selected passwords may be enabled in future by supplying a text independent speech UBM which has been pretrained on a large external database.
Dynamic routing protocols for anycast packet forwarding

The Internet protocol anycasting allows communication from a specific node to any one of the nodes in a group of nodes, which share the same IP address. The two main protocols involve in the packet transmission are the routing tree formation protocol (RTFP) and the packet forwarding protocol (PFP). Besides that, several types of routing techniques such as single path routing (SPR) and multi-path routing (MPR) are being used by current communication services. In this paper we have analyzed static and dynamic routing mechanism for anycast packets in SPR and MPR. New RTFP have been designed and proposed for this new anycast mechanism based on our research. The tree of each network topology can be determined and formed by different routing tree formation protocol like AGBSPF algorithm (SPF), load-balanced AGBSPF algorithm, load propagation algorithm for server over-load announcement and core-based tree (CBT). We have implemented the dynamic routing algorithms, which are suitable for IP anycast packet forwarding. The objective of the dynamic routing algorithm is to minimize the computational complexity to update the tree and maintain the routing stability by making minimal changes to the current routing tree of the network. After the tree formations, the packet forwarding protocol will decide the transmission of the packets based on the cost factor. The major outcome of this paper is new dynamic RTFP and PFP.
Squeezer：An Efficient Algorithm for Clustering Categorical Data

This paper presents a new efficient algorithm for clustering categorical data,Squeezer, which can produce high quality clustering results and at the same time deservegood scalability. The Squeezer algorithm reads each tuple t in sequence, either assigning tto an existing cluster (initially none), or creating t as a new cluster, which is determined bythe similarities between t and clusters. Due to its characteristics, the proposed algorithm isextremely suitable for clustering data streams, where given a sequence of points, the objective isto maintain consistently good clustering of the sequence so far, using a small amount of memoryand time. Outliers can also be handled efficiently and directly in Squeezer. Experimental resultson real-life and synthetic datasets verify the superiority of Squeezer.
Human Brain Diffusion Tensor Imaging Visualization With Virtual Reality

Magnetic resonance diffusion tensor imaging (DTI) is sensitive to the anisotropic diffusion of water exerted by its macromolecular environment and has been shown useful in characterizing structures of ordered tissues such as the brain white matter, myocardium, and cartilage. The water diffusivity inside of biological tissues is characterized by the diffusion tensor, a rank-2 symmetrical 3×3 matrix, which consists of six independent variables. The diffusion tensor contains much information of diffusion anisotropy. However, it is difficult to perceive the characteristics of diffusion tensors by looking at the tensor elements even with the aid of traditional three dimensional visualization techniques. There is a need to fully explore the important characteristics of diffusion tensors in a straightforward and quantitative way. In this study, a virtual reality (VR) based MR DTI visualization with high resolution anatomical image segmentation and registration, ROI definition and neuronal white matter fiber tractography visualization and fMRI activation map integration is proposed. The VR application will utilize brain image visualization techniques including surface, volume, streamline and streamtube rendering, and use head tracking and wand for navigation and interaction, the application will allow the user to switch between different modalities and visualization techniques, as well making point and choose queries. The main purpose of the application is for basic research and clinical applications with quantitative and accurate measurements to depict the diffusivity or the degree of anisotropy derived from the diffusion tensor. © 2010 ASME
Modelling auditory processing and organisation

Acknowledgments 1. Introduction 2. The auditory periphery: physiology, function and a computer model 3. Auditory representations 4. Modelling auditory scene exploration 5. Implementation of auditory grouping principles 6. An evaluation of sound source separation in the model 7. Conclusions and further development Appendices Bibliography Index.
Object instance recognition using motion cues and instance specific appearance models

In this paper we present an object instance retrieval approach. The baseline approach consists of a pool of image features which are computed on the bounding boxes of a query object track and compared to a database of tracks in order to find additional appearances of the same object instance. We improve over this simple baseline approach in multiple ways: 1) we include motion cues to achieve improved robustness to viewpoint and rotation changes, 2) we include operator feedback to iteratively re-rank the resulting retrieval lists and 3) we use operator feedback and location constraints to train classifiers and learn an instance specific appearance model. We use these classifiers to further improve the retrieval results. The approach is evaluated on two popular public datasets for two different applications. We evaluate person re-identification on the CAVIAR shopping mall surveillance dataset and vehicle instance recognition on the VIVID aerial dataset and achieve significant improvements over our baseline results.
Distributed Cognition in an Airline Cockpit

In earlier research on the organization of work, Hutchins developed a theory of distributed cognition that takes as its unit of analysis a culturally constituted functional group rather than an individual mind. This theory is concerned with how information is propagated through a system in the form of representational states of mediating structures. These structures include internal as well as external knowledge representations, (knowledge, skills, tools, etc.). This approach permits us to describe cognitive processes by tracing the movement of information through a system and characterize the mechanisms of the system which carry out the performance, both on the individual and the group level. In this paper we apply this approach to the structure of activity in a commercial airline cockpit. A cockpit provides an opportunity to study the interactions of internal and external representational structure and the distribution of cognitive activity among the members of the crew. Through an analysis of audio and video recordings of the behaviors of real airline flight crews performing in a high fidelity flight simulator we demonstrate that the expertise in this system resides not only in the knowledge and skills of the human actors, but in the organization of the tools in the work environment as well. The analysis reveals a pattern of cooperation and coordination of actions among the crew which on one level can be seen as a structure for propagating and processing information and on another level appears as a system of activity in which shared cognition emerges as a system level property. Copyright © 1995, Edwin Hutchins & Tove Klausen. All rights reserved. Cockpit Cognition 5/18/00 2 Most people who travel frequently by air occasionally find themselves sitting in the passenger cabin wondering what is happening on the other side of the cockpit door. What are the pilots doing, and whatever it is they are doing, are they doing it well? Although we cannot present you with data from an actual flight, we can give you the next best thing: data from an actual airline flight crew performing in a very high fidelity flight simulator. Consider the transcript below. This is taken from a full-mission simulation of a flight from Sacramento, California to Los Angeles, California. It is the second flight of the day for this particular crew. They are about 8 minutes out of Sacramento and are climbing through nineteen thousand feet toward their cruise altitude of thirty three thousand feet. The simulated aircraft is a Boeing 727-200 which requires a crew of three: Captain (Capt), First Officer (F/O) and Second Officer (S/O). We open the cockpit door and peek inside. The Captain has just removed a departure chart from the control yoke and is replacing it in his airway manual. The first officer is flying the plane, monitoring the flight instruments and handling the controls. The second officer has completed his departure paperwork and begins a departure report by radio to the company offices on the ground.
Automatic Generation of Pencil Drawing from Digital Image

This paper proposes a novel algorithm for the automatic generation of pencil drawing from digital image. We use multi-scale edge detector to construct an outline map according to the structural importance. Using strokes as the major building blocks, we smooth the boundary and rendering outline according to the pencil sketch style. Then, tone rendering is carried out to convey both the tone and textures of the original image. Experimental results on natural scenery and architectural scenery images show that the pencil sketch drawings produced by our method are of good visual effects. Besides, the implementation require less than 1 second on the image with 400*300 pixels.
Creating the semantic Web with RDF

Preface. Metadata, Resources, and the Resource Desciption Framework. Using RDF to Annotate Text and Photos. RDF and XML. Using RDF. RDF Schemas. More Metadata Vocabularies. Device Descriptions and User Profiles. Reasoning about Metadata: Rules and Ontologies. Implementation Advice: When Intelligent Agents Meet RDF. RDF Tools: An Overview. Index.
How to use the scuba diving metaphor to solve problem with neutrality

We proposed a new search heuristic using the scuba diving metaphor. This approach is based on the concept of evolvability and tends to exploit neutrality which exists in many real-world problems. Despite the fact that natural evolution does not directly select for evolvability, the basic idea behind the scuba search heuristic is to explicitly push evolvability to increase. A comparative study of the scuba algorithm and standard local search heuristics has shown the advantage and the limitation of the scuba search. In order to tune neutrality, we use the NKq fitness landscapes and a family of travelling salesman problems (TSP) where cities are randomly placed on a lattice and where travel distance between cities is computed with the Manhattan metric. In this last problem the amount of neutrality varies with the city concentration on the grid; assuming the concentration below one, this TSP reasonably remains a NP-hard problem.
Understanding Motion Capture for Computer Animation and Video Games

From the Publisher: In Understanding Motion Capture for Computer Animation and Video Games, industry insider Alberto Menache tells the complete story of motion capture, examining its technical details as well as its growth as an industry. Menache's narrative voice and in-depth technical discussions allow the reader not only to learn motion capture, but also to understand the reasons behind its successes, failures, and increasing role in such blockbuster films as Batman Forever and Batman and Robin. With its careful balance between technical analysis and industry trends, Understanding Motion Capture for Computer Animation and Video Games is the first book to explore the controversial art and practice of modern character animation using motion capture.