Miracle-dz/UniFAR-FTUs huggingface dataset:
Design Of Component-Based Software For Telemetry, Tracking And Commanding (TTC) Operations Of Nano Satellite

: PES Institute of Technology along with five other institutions is developing a nano-satellite for capturing images of the earth. The project is intended for students to understand and work with advanced space technologies. The satellite is built around subsystems such as, Attitude Control System, Electrical Power System and Mechanical Systems. The data distribution is handled by an On Board Computer (OBC) system which is interfaced to all the subsystems. On Board Computer is a microprocessor board where satellite software is executed. The OBC, after internal processing of satellite telemetry parameters sends the telemetry information using S-band transponder to the ground station. The telemetry information is received by a computer system through the ground station setup for receiving the satellite data. This paper, discusses the development of software which is used in the satellite control centre for carrying out TTC operations of satellite. The data is presented to the spacecraft operational personnel using graphics tools for further analysis of the spacecraft health. The design of ground station software is presented in this paper. We use the approach of component-based software methodology.
Rapid Redesign Of Analog Standard Cells Using Constrained Optimization Techniques

A first-order analysis of the impact of technology scaling on the performance parameters of linear CMOS analog circuits is presented. Scaling of single gain stage and two-stage operational amplifier small-signal performance parameters is examined under the constant field (CE), quasi-constant voltage (QCV), and constant voltage (CV) scaling rules; in addition to classical full scaling, other practical analog scaling options such as constant device size (W and L), constant total dc bias current, and constant power dissipation are also considered. A computeraided design tool that accurately and rapidly resizes linear analog standard cells in short-channel CMOS processes using SPICEquality device models and constrained optimization techniques is described. The CAD tool is applied to redesign a two-stage opamp in 5 pm, 3 pm and 2 pm p-well CMOS technologies for both minimum power dissipation and minimum die area objectives using modified constant voltage (Vdd = 5 v) scaling rules. About 10 seconds of computer time on a DEC 3100 are required per optimized redesign.
A practical guide to tune of proportional and integral (PI) like fuzzy controllers

A method for tuning a PI-like fuzzy controller is proposed. The relationship between parameters and performance of the fuzzy controller is discussed. This includes defining the relationships between parameters and control performance, which parameters are more important and which are less important, which parameters should be tuned first and which later, and in which direction parameters should be adjusted. The result is a guide for tuning fuzzy control systems. <<ETX>>
A multilevel-cell 32 Mb flash memory

A flash memory with multilevel cell significantly reduces the memory per-bit cost. A 32 Mb multilevel-cell (MLC) flash memory storing two bits of data per cell achieves 32 Mb memory storage capacity using 16 M flash memory cells. This 32 Mb flash memory on a 0.6 /spl mu/m process has a 2.0/spl times/1.8 /spl mu/m/sup 2/ flash cell. In MLC operation, the logical flash memory cell achieves two bits per cell using four possible states, defined by four flash cell threshold voltage ranges. The relationship between the threshold voltage ranges stored in the flash memory cell and the corresponding logic levels is shown in this paper, which also shows a plot of the four threshold voltage distributions, each with a separation range.
Beyond Formulas in Mathematics and Teaching: Dynamics of the High School Algebra Classroom

Group Investigation - a method for classroom instruction in which students work collaboratively in small groups, and take an active part in establishing their learning goals - continues to gain popularity. With increased interest has come the need for a comprehensive work on the subject - a thesis, a research review, and handbook. In this book, the authors provide an explanation of the philosophy, foundations, and current practice of Group Investigation. The authors give suggestions for ways of developing in a class the necessary discussion and cooperative skills, as well as detailed examples of projects in elementary and upper grades. In addition, they examine the experimental evidence of the method's effectiveness. The Sharans conclude with a presentation of two training programmes, one for teachers applying Group Investigation for the first time, and the other for those with some experience in cooperative learning who wish to expand and refine their techniques. This book should prove an indispensable tool for pre-and in-service teachers, staff developers, and other professionals dissatisfied with traditional "whole class" teaching and wishing to create with their students a learning environment where they are facilitators of cooperative inquiry, guides to acquisition of social skills, and active participants in a rewarding learning process.
A new method to estimate Doppler parameters for synthetic aperture radar in target echo signals

Necessary element of the signal processing for synthetic aperture radar (SAR) systems. Without proper resolution of the Doppler centroid (DC) and the Doppler frequency rate (DFR), the imaging quality will be degraded in the system impulse function, geometric fidelity and focus. A technique for the resolution of the DC and the DFR estimation ambiguity for the spaceborne SAR is presented in this paper without knowing any initial values of the DC and the DFR in target echo signals. According to the spectral power figure that the DC is determined by the center coordinators of two peaks and the DFR is determined by the width between the two peaks. The achievable accuracy is derived theoretically and verified by tests using ERS-2 simulated echo data.
Semantic Data Integration on Biomedical Data Using Semantic Web Technologies

Contemporary life sciences research requires an understanding of systems across wide ranges of scale and distribution. Therefore, there is an urgent need to integrate biomedical knowledge generated by different communities and separate subfields (Shadbolt et al., 2006). Scientific publications and curated databases together hold a vast amount of this useable knowledge. Additionally the number, size, and complexity of life science databases continues to grow (Kei-Hoi et al., 2009). Therefore scientists in the field of genomics, proteomics, metabolomics, clinical medicine and drug discovery need a concept to integrate their data, (Shadbolt et al., 2006) which is a prominent problem (Kei-Hoi et al., 2009). But to generate such a uniform data integration concept there are still some challenges to overcome such as handling the variety and amount of available data, inconsistency with data heterogeneity from the different sources, the autonomy and differing capabilities of the sources and a lack of standards for such an integration concept. Many heterogeneity conflicts remain in data integration due to the lack of semantics (Gagnon, 2007). In order, to efficiently exploit the knowledge from different resources, it will be important to connect the sources in a manner that machine processes can traverse and intelligently identify these links (Neumann et al., 2004). A promising approach to integrate heterogeneous data sources could be the use of Semantic Web technologies. They provide a framework to deal with the afore mentioned problems and fulfil the requirements for machine processing. This book chapter provides an overview of data integration on biomedical data using Semantic Web technologies including existing techniques (standards, specifications and methods), challenges, approaches and projects.
Pre-Coordination + Post-Coordination = the Case for Partial Coordination

The introduction of computerized post-coordination has solvedmany of the problems of pre-coordinated subject access. However, theadoption of computerized post-coordination results in the loss of some precoordinationbenefits. Specifically, the effect of hiding terms within thecontext of others is lost in post-coordination which gives lead status to everydocument term, This results in spurious matches of terms out of context.Library patrons and Internet searchers are increasingly dissatisfied withsubject access performance, in part because of unmanageably large retrievalsets. The need to enhance precision and limit the size of retrieval setsmotivates this work which proposes partial coordination, an approach whichincorporates the advantages of computer search with the ability of precoordinationto limit spurious partial matches and thereby enhance precision.
Fostering authentic, sustained, and progressive mathematical knowledge-building activity in computer supported collaborative learning (CSCL) communities

Eliciting high-level mathematics symbolizing and communicating from students engaged in mathematics communities of practice has been found to be a challenging problem. In this article, we report on a study where 21 grade six female students engaged in model-eliciting problem-solving with collective discourse mediated by Knowledge Forum® Computer Supported Collaborative Learning (CSCL) software achieved the kind of progressive knowledge-building activity that until now had not been achieved in CSCL-mediated mathematics communities. During the course of the study, the students engaged in knowledge-building discourse about and iteratively improved their models for ranking the cities of Canada in terms of livability. The success achieved in having the students engage in this knowledge-building activity was attributed to the contexts provided by the model-eliciting math problem and to contexts and scaffolds for knowledge-building discourse provided by Knowledge Forum® during the construction and iterative revisions of the math models.
Laser Scanner based Obstacle Avoidance Algorithm for Autonomous Service Robots

Service robots used for the guidance and delivery. In this paper, we present an obstacle avoidance method for a mobile robot equipped with a laser scanner in a corridor. For avoiding obstacles, we propose five different behaviors for mobile robot and these behaviors are selected by the robot, depending on the environment. Experiments were carried out in several simulated and real environments including a narrow and complex environment, a dead-end trap, and a rapidly changing situation. The robot was able to navigate in a corridor without collisions. Our method can make the robot navigate in very dense, cluttered, and complex scenarios which are a challenge for many other methods.
Double sampling in switched-capacitor delta-sigma A/D converters

The achievable signal-to-noise ratio is switched-capacitor delta-sigma modulation analog-to-digital converters is set by the oversampling clock frequency divided by twice the signal bandwidth. The use of double sampling in the switched-capacitor integrators to achieve a factor of two increase in the oversampling factor without reducing the settling time of the operational amplifier is proposed. Detailed simulations have shown that for sufficiently small capacitor mismatch, the double-sampling schemes provide a significant increase in SNR. The larger the desired SNR, the more sensitive the circuit is to capacitor mismatch. It is concluded that the random gain implementation is preferred over the alternating gain scheme, because the former spectrally spreads the effect of the capacitor mismatch. <<ETX>>
Robust interpretation in the Higgins spoken dialogue system

This paper describes Pickering, the semantic interpreter developed in the Higgins project - a research project on error handling in spoken dialogue systems. In the project, the initial efforts are centred on the input side of the system. The semantic interpreter combines a rich set of robustness techniques with the production of deep semantic structures. It allows insertions and non-agreement inside phrases, and combines partial results to return a limited list of semantically distinct solutions. A preliminary evaluation shows that the interpreter performs well under error conditions, and that the built-in robustness techniques contribute to this performance.
Reporting For The Media

Now in its international ninth edition, Reporting for the Media continues to be an essential resource for journalism students and instructors. A comprehensive introduction to newswriting and reporting, this classic text offers a straightforward guide to crafting effective journalism. Moreover, it grounds students firmly in the basics of reporting-how to become more curious about the world, generate provocative ideas, gather vital information and write incisive stories. The authors provide students with the skills they need to produce engaging journalism by focusing on such central topics as grammar basics, newswriting style, traditional story structures and styles, interviewing techniques, reporting on speeches and meetings and common ethical dilemmas. The text also explores a variety of advanced topics including broadcast writing, law, ethics and public relations. In every chapter, students encounter vital tools for the creation of versatile journalism; these tools enable them to apply their knowledge to any type of journalism in any medium. The international ninth edition features a new introductory chapter, "Journalism Today," which discusses recent developments in the field, from technology and newsroom convergence to the proliferation of blogs. In addition, all chapters and examples have been updated throughout. The text's lively end-of-chapter exercises have also been updated and continue to encourage students to "learn by doing" through the practical application of skills. An updated list of Common Writing Errors is now featured on the inside back cover; along with a condensed version of the AP stylebook, this resource offers helpful grammar and style assistance to students as they interact with the material. As in previous editions, the book also integrates advice from professional journalists, discussion questions, suggested projects, four useful appendices and end-of-chapter checklists. The leading text for newswriting and reporting courses, Reporting for the Media, International Ninth Edition, offers outstanding and unparalleled training for dynamic journalists.
The pitfalls of portability . . or . . why more is not better

The use of computer technology to assist in the meeting environment is increasing. As this technology becomes more compact, it opens the door to increased portability. The paper reports on what has been learned about 'portability' in 6 years' experience developing, marketing and supporting a portable group decision support system called OptionFinder. <<ETX>>
Oversampling methods for data conversion

Noise shaping, high-performance delta-sigma analog-to-digital conversion structures, and oversampling digital-to-digital converters are discussed. Oversampling data converters offer an attractive tradeoff where accurate and robust conversion can be achieved with inaccurate analog components at the cost of increased signal processing speed and digital circuit complexity. The authors give an overall qualitative description of the basic principles and some successful implementation of such converters. <<ETX>>
Time-frequency characterization of multi-channel dynamic sEMG recordings by neural networks

The main effort of this paper is directed towards the characterization of multi-channel muscle contractions recordings measured by surface electromyography (sEMG) for both research and clinical purposes. In particular, an attempt is made in order to describe the kind of modifications in the spectrum and related frequency content of the sEMG data when the forces produced by muscles are varying. Recent works have proposed time-frequency analysis as a powerful tool to investigate some parameters that relate to the progression of muscle fatigue. A different method of time-frequency characterization by means of unsupervised learning processing is here proposed: the growing neural gas (GNG) algorithm is used. The advantage of the proposed method with respect to traditional methods, that make use of the mean or median frequency, seems the complete description of the frequency content of the signal. The obtained results are in agreement with physiologic studies of muscle activity.
Modeling and animation with relaxed connectivity requirements

The choice of data representation is one of the most importantdesign decisions when implementing algorithms or applications. This thesis will examinealterna¬ tive representations in two core domainsof Computergraphics: Surfacemodeling and physically-based Computeranimation. It will be shown that algorithmsbased on less structured data representations can outperform those requiring more regularity. The first part ofthis thesis treats point-sampledsurfaces, a minimally struc¬ tured surface representation that has recently gained considerable momentumin the field of Computergraphics. In the second part, algorithmsfor physically-based Simulation in the context of Computeranimation will be considered. As one of the foundationsof Computer graphics, surface modelinghas been thoroughly researched, making use of various surface representations. These include spline patches, implicit surfaces, and polygonal meshes. Due to the availability of specialized hardware, triangle meshes have been dominantin the last years. Recently, point-sampled surfaces, representing the surface as an unorganized set of surface samples,have emerged as an alternative. One of the long-standingproblems with point-sampled surfaces is the represen¬ tationofdiscontinuities.A renderingalgorithmis proposed that handlesgeometric discontinuities.No preprocessingis necessary, andno per-sample informationhas to be provided, making the approach ideallysuited for dynamic data. Exploiting the flexibility of point-sampled surfaces for fast dynamic resampling, a painting system based onpoint-sampled surfaces is presented. The system provides an intuitive user interface and demonstratesthe strengths of a less organized and more flexible surface representation. To ensure interoperability, an algorithm Converting point clouds to textured meshes is described. Since point-sampledsurfaces to not provide consistent Connectivity,traditional animation methods like finite element methods are not directly applicable. To make animations of point-basedsurfaces possible, a method for thin shell Simu¬ lationof point-sampledsurfaces is presented. The geometric properties necessary for the evaluation of the shell energy functional are approximated using locally defined splines embedded in the surface. Particle-based methods were at the heart of the earliest animation techniques, and are stillpopulärin fluid Simulation. Avoiding persistentConnectivity, a method for Computingelastic forces within a fluid Simulation is proposed. This method allows for Simulation of elastic objects within the fluid Simulation. The unified
The Effect of Structured Techniques on Group Decision Making in the Undergraduate Business Communication Classroom.

This study sought to determine the effect of four different structured group decision-making techniques in an undergraduate business communication course on the quality of a written assignment and on student reaction to the decision-making technique. The effects of gender, age, and academic intellectual ability were also investigated. The four group techniques investigated were reverse brainstorming, dialectical inquiry, devil's advocacy, and consensus. The sample consisted of 120 (64 males, 56 females) undergraduate students enrolled in four sections of a junior-senior level business communication course. Each experimental and control group consisted of four randomly assigned students. Six groups were used in each experimental decision-making technique and six groups were used as control groups. An analytical memorandum report written by the students and rated by business communication experts and a self-reporting questionnaire were used to determine the treatment effect. The control and consensus technique groups used significantly lower levels of debate and criticism. The control groups produced written documents that were of a significantly higher quality than the groups using the decision-making techniques. Consensus, devil's advocacy, and reverse brainstorming groups produced the next highest scores. Dialectical inquiry groups produced the lowest scores. In addition, gender, age, and academic intellectual ability did not correlate significantly with the quality of written document and student reaction. These results imply that business communication educators do not need to assign students to groups by gender, age, or academic intellectual ability. In fact, when using these structured group techniques in the business communication classroom, random assignment of groups is recommended. (Contains 33 references.) (JB) Structured Techniques 1 THE EFFECT OF STRUCTURED TECHNIQUES ON GROUP DECISION MAKING IN THE UNDERGRADUATE BUSINESS COMMUNICATION CLASSROOM Dr. Joan Neal Dockery 400B Department of Management Central Missouri State University Warrensburg, MO 64093 (816) 543-4904 Fax: 816-543-8885 Dr. Lonnie Echternacht 304 Hill Hall Business Education University of Missouri-Columbia Columbia, MO 65211 (314) 882-9705 Fax: 314-882-5071 "PERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY
EEG Signal Processing for Epilepsy

At the presentmoment, threemethods can record functional and physiological changes within the brain with high temporal resolution of neuronal interactions at the network level: the electroencephalogram (EEG), the magnetoencephalogram (MEG), and functional magnetic resonance imaging (fMRI); each of these has advantages and shortcomings. MEG is not practical for experimental work when subjects may move freely, because of the large size of magnetic sensors. For image sequences, fMRI has a time resolution very low and many types of EEG activities, brain disorders and neurodegenerative diseases cannot be recorded. On the other hand the spatial resolution of the EEG is limited to the number of electrodes, as described in Ebersole & Pedley (2003); Sanei & Chambers (2007).
A Comparative Study to Assess the Effectiveness of Surface Texture Classification Algorithms

— Surface texture measurement plays a very important role in predicting the functional performance of the components. An attempt has been made in this paper, to assess the effectiveness of texture classification by Gabor filters and Tree Structured Wavelet Transform. The method is used successfully for inspecting surfaces made of Milling, Shaping, EDM and sandblasting processes. The proposed method uses a relatively low cost vision system for analyzing different textures. The method is non-contact, quick and finds application in inspecting components produced by computer integrated manufacturing. High classification accuracy is possible.