Miracle-dz/UniFAR-FTUs huggingface dataset:
Multihit multichannel time-to-digital converter with ±1% differential nonlinearity and near optimal time resolution

An eight-channel, 1 ns bin-size, 23 b dynamic range, single-chip, multihit, time-to-digital converter (TDC) is presented in this paper. A new architecture mixing two previous TDC realizations has been adopted. The chip can execute common-start or common-stop operations on the trailing, leading, or both transitions of the input channels; it stores at least 32 events/channel with a double-hit resolution of 16 ns. A prototype of about 120 mm/sup 2/ has been integrated into a double-metal, single-poly, n-well 1 /spl mu/m CMOS process, and its performance has been compared to that of similar devices. Test results show that a differential nonlinearity error of /spl plusmn/1%, an integral nonlinearity less than 0.2 least significant hit (LSB), and a time resolution of 0.443 LSB-significantly better than those of comparable TDCs and very close to the theoretical limit of 0.408 LSB-have been achieved.
Major Qualifying Projects ( All Years ) Major Qualifying Projects December 2009 A Comparative Study of Energy Efficient Medium Access Control Protocols in Wireless Sensor Networks

Wireless sensor “motes”—small embedded systems equipped with radios for wireless communication—are almost always expected to operate unattended for long periods of time, relying upon batteries as a power source. As the vast majority of energy consumed by motes can be attributed to radio usage, the development of medium access control (MAC) protocols which seek to minimize energy consumption is an important area of wireless sensor network research. Recent MAC protocols reduce energy usage by placing the radio in a lowpower sleep state when not sending or receiving transmissions. This project investigates energy usage in three such protocols—AS-MAC, SCP-MAC, and Crankshaft–on physical sensor hardware. It additionally presents BAS-MAC, an energy-efficient protocol of our own design. We evaluate our implementation of these four protocols on TelosB motes over multiple sensor network topologies. Our evaluations show that in single-hop networks with large send intervals and staggered sending, AS-MAC is best in the local gossip and convergecast scenarios, while SCP-MAC is best overall in the broadcast scenario. We conjecture that Crankshaft would perform best in extremely dense hybrid (unicast and broadcast) network topologies, especially those which broadcast frequently. Finally, BAS-MAC would be optimal in networks which utilize hybrid traffic with infrequent broadcasts, and where broadcasting is performed by motes that do not have an unlimited power source.
Sailing to the Model’s Edge: Testing the Limits of Parameter Space and Scaling

: Using the MS/RPD integrated modeling approach, we have modeled a variety of tasks. We typically try to capture aspects of human performance and evaluate the qualitative and quantitative fit of model behavior to human data. A collection of individual models and demonstrations of fit to human data constitute an important validation of a modeling approach. However, there are problems with focusing solely on the “good fit” and “typical model” section of model complexity and parameter space. In this paper, we argue that as modelers, we need to examine our approaches in a broader context, going beyond the comfort zone of good fit and typical models. Using a very simple "generic" model, we examined a relatively small search space, with the goal of better covering and understanding a wider range of complexity and parameter values than our typical models utilize. We investigated scaling by systematically increasing the number of cues and COAs, and we investigated a range of values for three key model parameters. We learned something about limits of scaling. In our parameter exploration, the results underscored the importance of exploring the full range of possible values because parameter values did not always affect performance and learning in a monotonic way.
Regional Flood Frequency Analysis in the West Coast of Peninsular Malaysia using the L-Moments Approach

In this paper, the L-moments approach is used to establish the regional flood frequency relationships for annual maximum flow data of 18 autographic gauging stations located in the 10 main river basins, namely, Perai, Kerian, Perak, Bernam, Selangor, Kelang, Langat, Linggi, Melaka, and Kesang. The aim of this study is to examine the homogeneity of the study area as well as to identify and establish the statistical distribution for the annual maximum flow data. The peak flow data are screened for consistency using the discordancy measure, and the homogeneity of the region is tested using the heterogeneity measure proposed by Hosking and Wallis. The choice of the suitable distribution for the peak flow data is based on the L-moment ratio diagram and the | | statistic criteria. Five distribution functions are used, i.e., generalized logistic (GLO), generalized extreme value (GEV), generalized normal (GNO), Pearson type 3 (PE3), and generalized Pareto (GPA) distribution. Generalized logistic distribution is identified as the robust distribution for this study. Regional flood frequency relationship is derived for gauged catchments for the study area using the GLO distribution. A relation between catchment size and mean annual peak flow is also developed to be used together with the regional growth curve derived from the gauged catchments for the estimation of design floods of ungauged catchments. Results showed that the variance between observed and estimated is less than 30 % which is the differences range of peak flow for Sg. Kampar is 27.61 m3/s for 50 ARI. Based on the findings, it can be suggested that the regional flood frequency analysis using L-moments approach would be able to serve reasonably well in determining design flood in the study area.
Electronic Mail for the Hearing Impaired and Its Potential for Other Disabilities

The introduction of electronic message systems in the office environment suggests a major new tool for the employability of physically disabled individuals. Communications barriers caused by hearing, speech, and visual impairments, as well as mobility barriers caused by paralysis and orthopedic disorders, become insignificant when individuals with such challenges have access to electronic mail. A pilot project involving deaf people clearly points to the usefulness of computer-based telecommunications not only in personal lives but also in work situations for the physically disabled. The current status of message system technology and equipment is reviewed, and recommendations are made to improve this technology to make it financially reasonable and accessible for the physically disabled consumer.
A vision of statistical bioinformatics

We open this paper with Astbury’s definition of Molecular Biology the subject which has led to the rise of Bioinformatics. “. not so much a technique as an approach, an approach from the viewpoint of the socalled basic sciences with the leading idea of searching below the large-scale manifestations of classical biology for the corresponding molecular plan. It is concerned particularly with the forms of biological molecules and . is predominantly three-dimensional and structural which does not mean, however, that it is merely a refinement of morphology it must at the same time inquire into genesis and function” W.T. Astbury (1952, 1961) Bioinformatics is a new and rapidly developing field; its importance has been highlighted, for example, by the Human Genome Project. It includes mathematical, statistical and computing methods which aim to solve biological problems using DNA, amino acid sequences, and related information. The amount of available data, and the pool of human knowledge, is rapidly growing, and there are many non-trivial statistical problems to solve. Broadly speaking, Bioinformatics is concerned with the organization and the function of cells as well as the underlying molecular interactions. This is a new discipline that brings together the traditional fields of biology (including molecular biology and biochemistry), biophysics, physiology, physics, molecular medicine, informatics and statistics. The work is very interdisciplinary (see also Mardia et al., 2003 and Mardia, 2004). Indeed, large amounts of numerical information arise from studies of the genome and proteins. The data come in various forms including genome sequences, protein co-ordinates and related chemical information; and microarray information on gene and protein expression. Examples of problems include:
Computer Science at Kent

AbstractTimed automata are a very successful notation for specifying andverifying real-time systems. One problem of the approach though isthat timelocks can freely arise. These are counter-intuitive situations inwhich a speciﬁer’s description of a component automaton can inadver-tently prevent time from passing beyond a certain point. This means,in fact, that the entire system stops. We identify a number of diﬀerenttypes of timelocks and argue that each type should be treated diﬀer-ently. We distinguish between time-actionlocks and zeno-timelocks andargue that a constructive approach should be applied to preventing theformer of these, while an analytical approach should be used to preventthe latter. In accordance with this position, we present a revision of theinterpretation of parallel composition in timed automata in order toprevent time-actionlocks. With respect to zeno-timelocks, we presentan analytical method to ensure absence of zeno-timelocks which buildsupon the notion of strong non-zenoness
A DBN-BASED MULTI-LEVEL STOCHASTIC SPOKEN LANGUAGE UNDERSTANDING SYSTEM

In recent years, efforts have been made for automatically identifying opinions, emotions and sentiments in text. The problem considered in this paper is the analysis of messages uttered by the users of a telephone service in response to a recorded message that asks if a problem they had was satisfactorily solved. Very often in these cases, subjective information is combined with factual information. The purpose of this type of opinion analysis is the detection of time variations of user satisfaction indices. Even if precision or recall is not very high because messages are ambiguous or ASR systems have made many word recognition errors, system strategies are acceptable if they detect the same trend in user satisfaction as it is indicated by human interpreters of the messages. In this paper a system for this type of opinion analysis is proposed for a telephone service survey task.
Multiple People Tracking Using Camera Networks with Overlapping Views

We present a novel framework for multiple pedestrian tracking using overlapping cameras in which the problems of object detection and data association are solved alternately. In each round of our algorithm, the people are detected by inference on a factor graph model at each time slice. The outputs of the inference, namely, the probabilistic occupancy maps, are used to define a cost network model. Data association is achieved by solving a min-cost flow problem on the resulting network model. The outputs of the data association, namely, the ground occupancy maps, are used to control the size of factors in graph model in the next round. By alternating between object detection and data association, a desirable compromise between complexity and accuracy is obtained. Experiments results on public datasets demonstrate the competitiveness of our method compared with other state-of-the-art approaches.
Computational Auditory Scene Analysis: Principles, Algorithms, and Applications (Wang, D. and Brown, G.J., Eds.; 2006) [Book review]

This book focuses on computational auditory scene analysis (CASA), an interdisciplinary area derived from the field of auditory scene analysis (ASA). The book comprises chapters written by ten researchers in the field of auditory modeling, speech analysis and recognition, statistical signal processing, sound localization, reverberation processing, music processing, and networks of oscillatory or firing neurons. A very interesting feature of the book is the accompanying website http://www.casabook. org/, from which it is possible to download sound examples or Matlab software for some chapters. The book is geared to scientists and graduate students anxious to grasp this multidisciplinary area.
Clinical Forms of Vascular Dementia 7 7

The presence of vascular dementia (VaD) is largely unrecognized and untreated in the elderly (1,2). The typical history is that of an elderly parent or grandparent who fails to regain the previous level of function and independence after a stroke. More often, in the absence of the heralding stroke symptoms, the family notices that the patient has become depressed and apathetic, exhibits personality changes, experiences social inhibition, and has slowing mental capacity and sluggish motor activities with the inability to solve simple daily problems. Walking becomes deliberate, insecure, with a shuffling character and short steps; patients become unsteady on their feet and may take frequent falls. Often, the patient also suffers from urinary urgency, stress incontinence, and nocturia. Patients are no longer able to perform simple activities of daily living (ADLs), such as using the bathroom, showering, getting dressed, cooking, shopping, participating in rehabilitation activities and exercise routines, or performing more complex tasks, such as using the telephone or balancing a checkbook. Frequently, these changes occur after a surgical procedure, such as abdominal surgery, knee or hip replacement, or coronary artery bypass graft (CABG). The primary care physician is often surprised to find normal or minimally impaired results in the Mini-Mental State Examination (3) (MMSE) or the Cambridge cognitive capacity scale (CAMCOG) (4), which is the cognitive portion of the Cambridge Mental Disorders of the Elderly Examination (CAMDEX). The physician may conclude that the patient is depressed, or “deconditioned,” after hospitalization, and these symptoms are dismissed as part of a slow convalescence. Nonetheless, the overall net result is dementia, i.e., the loss of cognitive function and the dependency on others for ADLs. The MMSE and the CAMCOG test memory and other posterior cortical functions that are specifically designed to detect Alzheimer’s disease (AD), which is a cortical dementia. Therefore, most screening tests for dementia are completely insensitive to alterations of executive function, a cognitive domain localized in prefrontal-subcortical circuits selectively impaired in subcortical forms of VaD (5). This chapter reviews these and other clinical differences between AD and VaD.
USING PLAYS FOR PRONUNCIATION PRACTICE: ACTING AND ENGLISH IN SEVEN EASY STEPS

Most language teachers are acquainted with the use of role-plays and dialogues and use these as part of their repertoire of technique to support language acquisition. Many teachers use improvisation, either self-created or drawn from textbooks, to have students play out scenes that develop fluency with functional vocabulary. Other teachers may even have students improvise and structure whole plays that can attain performance level and be shown to an audience. The use of scripted plays to support the work of language acquisition, however, is more limited. Thus, I would like, in this report, to discuss some ways that work with written plays may be used to develop language facility.
ENVY AND COUNTERPRODUCTIVE WORK BEHAVIORS: IS MORE FAIRNESS ALWAYS PREFERRED?

The authors examined how the interaction between perceived justice facets (distributive & procedural justice) and envy predicts two forms of counterproductive work behaviors (abuse against others & withdrawal behavior). The objective of the study was threefold (a) to use one of the discrete emotions (envy), instead of general negative affect, as predictor of counterproductive work behaviors, (b) to see moderating effect of justice dimensions on relationship between envy and counterproductive work behaviors, and (c) to test the attribution model of fairness in the context of envy. The study was conducted on employees of different telecommunication companies in Pakistan. Envy, organizational justice perceptions and counterproductive work behaviors were measured through self-reports after 15 days, the individuals (N=145) received their annual salary raise. The predictions were made on the basis of attribution model of fairness. The results showed that envy was a significant predictor of counterproductive work behaviors (abuse against others & withdrawal behavior). The relationship between envy and abusive behavior against other was more pronounced when perceptions of distributive justice were high. Similarly, the relationship between envy and withdrawal behavior was strong in case of high levels of procedural justice perceptions.
Digital WPI Interactive Qualifying Projects ( All Years ) Interactive Qualifying Projects 2015-05-06 An Alternative to Location Based Music Rehearsals

1 Acknowledgements . 2 Authorship Page . 3 List of Figures and Tables . 6 Executive Summary . 7 Introduction and Background . 7 Methodology . 7 Data and Analysis . 7 Conclusion . 10 Chapter 1: Introduction . 11 Chapter 2: Background . 13 2.1 Informal and Formal Learning in Music . 13 2.2 How Popular Musicians Learn . 13 2.3 Technology in Music Teaching . 14 2.4 Existing Applications . 15 2.4.1 Anytune . 16 2.4.2 Rehearsal: App for Practicing Musicians . 16 2.4. 3 RiffMaster Pro . 17 2.4. 4 Summary of existing applications . 18 Chapter 3: Methodology . 19 3.1 Meeting with an Android App Developer . 19 3.2 Music community input . 20 3.3 African Drum Rehearsal Sit In . 22 3.4 Data and Analysis using Grounded Theory . 22 3.5 The Swift Language and Xcode . 23 Chapter 4: Data and Analysis . 26 4.1 Results . 26 4.2 Discussion and Analysis of gathered data from focus groups . 31 4.2.1 Comprehensive Application . 32
An Analysis of The Oxford Guide to Practical Lexicography (Atkins and Rundell 2008)

Abstract: Since at least a decade ago, the lexicographic community at large has been demandingthat a modern textbook be designed — one that would place corpora at the centre of the lexicographicenterprise. Written by two of the most respected practising lexicographers, this book hasfinally arrived, and delivers on very many levels. This review article presents a critical analysis ofits features. Keywords: LEXICOGRAPHY, LEARNERS' DICTIONARY, MONOLINGUAL, BILINGUAL,CORPUS, FRAME SEMANTICS, ENGLISH, FRENCH, TEXTBOOK Samenvatting: Een analyse van The Oxford Guide to Practical Lexicography(Atkins en Rundell 2008). Al minstens tien jaar lang eist de volledige lexicografischegemeenschap dat een modern tekstboek zou worden ontworpen — een dat corpora in het centrumvan de lexicografische belangstelling zou plaatsen. Geschreven door twee van de meest gerespecteerdepraktiserende lexicografen, is dit boek er nu eindelijk, en het ontgoochelt niet. Dit recensieartikelanalyseert de kenmerken ervan kritisch. Sleutelwoorden: LEXICOGRAFIE, LEERWOORDENBOEK, VERKLAREND (MONOLINGUAAL),VERTALEND (BILINGUAAL), CORPUS, FRAME SEMANTICS, ENGELS, FRANS,TEKSTBOEK
ICES REPORT 13-10 May 2013 Automated polyp detection in colon capsule endoscopy

Colorectal polyps are important precursors to colon cancer, a major health problem. Colon capsule endoscopy (CCE) is a safe and minimally invasive examination procedure, in which the images of the intestine are obtained via digital cameras on board of a small capsule ingested by a patient. The video sequence is then analyzed for the presence of polyps. We propose an algorithm that relieves the labor of a human operator analyzing the frames in the video sequence. The algorithm acts as a binary classifier, which labels the frame as either containing polyps or not, based on the geometrical analysis and the texture content of the frame. The geometrical analysis is based on a segmentation of an image with the help of a mid-pass filter. The features extracted by the segmentation procedure are classified according to an assumption that the polyps are characterized as protrusions that are mostly round in shape. Thus, we use a best fit ball radius as a decision parameter of a binary classifier. We present a statistical study of the performance of our approach on a large data set containing over 18, 900 frames. The algorithm demonstrates a solid performance, achieving 47% sensitivity per frame and over 81% sensitivity per polyp at a specificity level of 90%.
AKCES 5 (CzeSL-SGT)

Essays written by non-native learners of Czech, a part of AKCES/CLAC – Czech Language Acquisition Corpora. CzeSL-SGT stands for Czech as a Second Language with Spelling, Grammar and Tags. Extends the “foreign” (ciz) part of AKCES 3 (CzeSL-plain) by texts collected in 2013. Original forms and automatic corrections are tagged, lemmatized and assigned erros labels. Most texts have metadata attributes (30 items) about the author and the text.
Multiple Usability Evaluations of a Program Animation Tool

SRec (System for RECursion animation) is an educational software tool that allows creating animated interactive visualizations of recursive algorithms written in the Java language. In this paper, we present the results of four usability evaluation sessions held with our students. Usability was mainly evaluated with respect to easiness of use, adequacy to the task, quality, and if the user liked it. This untypical sequence of usability evaluations also has resulted in some interesting lessons on the development of educational software.
An Interspecies Investigation of Thyroid Plasma Hormone Concentrations, Histology, and Gene Expression

An interspecies investigation of thyroid plasma hormones, histology, and gene expression Emily A. Underwood A high prevalence of endocrine disrupting chemicals (EDCs) in Great Lakes Areas of Concern (AOCs) has raised concerns as to the health and fitness of fish and wildlife. It is not well understood to what extent existing contaminants, many with continuing inflows into the environment, may impact fish populations. This study provides an initial characterization of thyroid endocrine-related effects in two indigenous fish species sampled from Great Lakes AOCs. Biomonitoring was conducted on a pelagic, top predator species, smallmouth bass (Micropterus dolomieu) and benthic, omnivorous brown bullhead (Ameiurus nebulosus) at 7 sites in spring and fall of 2012. Thyroidal endpoints, such as plasma hormone levels (plasma thyroid stimulating hormone—TSH, thyroxine—T4, and triiodothyronine—T3), thyroid histology (thyroid epithelial cell height and colloid depletion), and expression levels of thyroid-related genes (Thyroid receptor alpha—THRα, Thyroid receptor beta—THRβ, deiodinase type I— DIO1, and deiodinase type II—DIO2) were measured in both species, and relationships between the endpoints were evaluated to see if associations exist between thyroid endpoints at multiple biological levels. Histological evaluation of the thyroid tissue indicated hyperstimulation (as indicated by increased thyroid epithelial cell height and partially depleted colloid) in smallmouth bass and brown bullhead sampled in the spring. Despite observed histologic alterations, changes in thyroid gland histology did not coincide with changes in concentrations of circulating thyroid hormones. However, gene transcript abundance of THRα was negatively correlated with TSH and T3 while levels of DIO2 were positively correlated with TSH and T3 in smallmouth bass, suggesting these genes are sensitive and stable indicators for thyroid status. The results demonstrate the importance of using a multi-tiered approach to evaluate the potential risks of EDCs on the teleost thyroid system, as well as the importance of choosing sensitive species and accounting for seasonality.