Developing a writing assistant to help EAP writers with collocations in real time

AbstractCorpora have given rise to a wide range of lexicographic resources aimed at helping novice users of academic English with their writing. This includes academic vocabulary lists, a variety of textbooks, and even a bespoke academic English dictionary. However, writers may not be familiar with these resources or may not be sufficiently aware of the lexical shortcomings of their emerging texts to trigger the need to use such help in the first place. Moreover, writers who have to stop writing to look up a word can be distracted from getting their ideas down on paper. The ColloCaid project (www.collocaid.uk) aims to address these problems by integrating information on collocation with text editors. In this paper, we share the research underpinning the initial development of ColloCaid by detailing the rationale of (1) the lexicographic database we are compiling to support the collocation needs of novice users of English for Academic Purposes (EAP) and (2) the preliminary visualisation decisions taken to present information on collocation to EAP users without disrupting their writing. We conclude the paper by outlining the next steps in the research.

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A New Flexible Rapid Thermal Processing System

MRS Proceedings ◽

10.1557/proc-389-307 ◽

1995 ◽

Vol 389 ◽

Author(s):

K. C. Saraswat ◽

Y. Chen ◽

L. Degertekin ◽

B. T. Khuri-Yakub

Keyword(s):

Control System ◽

Real Time ◽

Processing System ◽

Process Conditions ◽

Temperature Uniformity ◽

Real Time Control ◽

Wafer Temperature ◽

Time Control ◽

Wide Range ◽

Optical Flux

ABSTRACTA highly flexible Rapid Thermal Multiprocessing (RTM) reactor is described. This flexibility is the result of several new innovations: a lamp system, an acoustic thermometer and a real-time control system. The new lamp has been optimally designed through the use of a “virtual reactor” methodology to obtain the best possible wafer temperature uniformity. It consists of multiple concentric rings composed of light bulbs with horizontal filaments. Each ring is independently and dynamically controlled providing better control over the spatial and temporal optical flux profile resulting in excellent temperature uniformity over a wide range of process conditions. An acoustic thermometer non-invasively allows complete wafer temperature tomography under all process conditions - a critically important measurement never obtained before. For real-time equipment and process control a model based multivariable control system has been developed. Extensive integration of computers and related technology for specification, communication, execution, monitoring, control, and diagnosis demonstrates the programmability of the RTM.

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Distributed X-ray photon correlation spectroscopy data reduction using Hadoop MapReduce

Journal of Synchrotron Radiation ◽

10.1107/s160057751800601x ◽

2018 ◽

Vol 25 (4) ◽

pp. 1135-1143 ◽

Cited By ~ 6

Author(s):

Faisal Khan ◽

Suresh Narayanan ◽

Roger Sersted ◽

Nicholas Schwarz ◽

Alec Sandy

Keyword(s):

Real Time ◽

Photon Correlation Spectroscopy ◽

Correlation Spectroscopy ◽

Frame Rate ◽

Computational Techniques ◽

Complex Materials ◽

Photon Correlation ◽

X Ray ◽

Wide Range ◽

Recent Developments

Multi-speckle X-ray photon correlation spectroscopy (XPCS) is a powerful technique for characterizing the dynamic nature of complex materials over a range of time scales. XPCS has been successfully applied to study a wide range of systems. Recent developments in higher-frame-rate detectors, while aiding in the study of faster dynamical processes, creates large amounts of data that require parallel computational techniques to process in near real-time. Here, an implementation of the multi-tau and two-time autocorrelation algorithms using the Hadoop MapReduce framework for distributed computing is presented. The system scales well with regard to the increase in the data size, and has been serving the users of beamline 8-ID-I at the Advanced Photon Source for near real-time autocorrelations for the past five years.

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Case Study- Real Time Downhole Telemetry CCL and Tension Compression, a Differentiator for Successful Manipulation of ICD's in Horizontal Wells

10.2118/204873-ms ◽

2021 ◽

Author(s):

Usman Ahmed ◽

Zhiheng Zhang ◽

Ruben Ortega Alfonzo

Keyword(s):

Saudi Arabia ◽

Real Time ◽

Oil Recovery ◽

Horizontal Wells ◽

Differential Pressure ◽

Successful Operation ◽

Coiled Tubing ◽

Electric Line ◽

Wide Range ◽

Ict System

Abstract Horizontal well completions are often equipped with Inflow Control Devices (ICDs) to optimize flow rates across the completion for the whole length of the interval and to increase the oil recovery. The ICD technology has become useful method of optimizing production from horizontal wells in a wide range of applications. It has proved to be beneficial in horizontal water injectors and steam assisted gravity drainage wells. Traditionally the challenges related to early gas or water breakthrough were dealt with complex and costly workover/intervention operations. ICD manipulation used to be done with down-hole tractor conveyed using an electric line (e-line) cable or by utilization of a conventional coiled tubing (CT) string. Wellbore profile, high doglegs, tubular ID, drag and buoyancy forces added limitations to the e-line interventions even with the use of tractor. Utilization of conventional CT string supplement the uncertainties during shifting operations by not having the assurance of accurate depth and forces applied downhole. A field in Saudi Arabia is completed with open-hole packer with ICD completion system. The excessive production from the wells resulted in increase of water cut, hence ICD's shifting was required. As operations become more complex due to fact that there was no mean to assure that ICD is shifted as needed, it was imperative to find ways to maximize both assurance and quality performance. In this particular case, several ICD manipulating jobs were conducted in the horizontal wells. A 2-7/8-in intelligent coiled tubing (ICT) system was used to optimize the well intervention performance by providing downhole real-time feedback. The indication for the correct ICD shifting was confirmed by Casing Collar Locator (CCL) and Tension & Compression signatures. This paper will present the ICT system consists of a customized bottom-hole assembly (BHA) that transmits Tension, compression, differential pressure, temperature and casing collar locator data instantaneously to the surface via a nonintrusive tube wire installed inside the coiled tubing. The main advantages of the ICT system in this operation were: monitoring the downhole force on the shifting tool while performing ICD manipulation, differential pressure, and accurately determining depth from the casing collar locator. Based on the known estimated optimum working ranges for ICD shifting and having access to real-time downhole data, the operator could decide that required force was transmitted to BHA. This bring about saving job time while finding sleeves, efficient open and close of ICD via applying required Weight on Bit (WOB) and even providing a mean to identify ICD that had debris accumulation. The experience acquired using this method in the successful operation in Saudi Arabia yielded recommendations for future similar operations.

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A comparison of select trigger algorithms for automated global seismic phase and event detection

Bulletin of the Seismological Society of America ◽

10.1785/bssa0880010095 ◽

1998 ◽

Vol 88 (1) ◽

pp. 95-106 ◽

Cited By ~ 12

Author(s):

Mitchell Withers ◽

Richard Aster ◽

Christopher Young ◽

Judy Beiriger ◽

Mark Harris ◽

...

Keyword(s):

Real Time ◽

Data Streams ◽

Event Detection ◽

Spectral Characteristics ◽

Digital Data ◽

Robust Detection ◽

Location System ◽

Global Correlation ◽

Seismic Coda ◽

Wide Range

Abstract Digital algorithms for robust detection of phase arrivals in the presence of stationary and nonstationary noise have a long history in seismology and have been exploited primarily to reduce the amount of data recorded by data logging systems to manageable levels. In the present era of inexpensive digital storage, however, such algorithms are increasingly being used to flag signal segments in continuously recorded digital data streams for subsequent processing by automatic and/or expert interpretation systems. In the course of our development of an automated, near-real-time, waveform correlation event-detection and location system (WCEDS), we have surveyed the abilities of such algorithms to enhance seismic phase arrivals in teleseismic data streams. Specifically, we have considered envelopes generated by energy transient (STA/LTA), Z-statistic, frequency transient, and polarization algorithms. The WCEDS system requires a set of input data streams that have a smooth, low-amplitude response to background noise and seismic coda and that contain peaks at times corresponding to phase arrivals. The algorithm used to generate these input streams from raw seismograms must perform well under a wide range of source, path, receiver, and noise scenarios. Present computational capabilities allow the application of considerably more robust algorithms than have been historically used in real time. However, highly complex calculations can still be computationally prohibitive for current workstations when the number of data streams become large. While no algorithm was clearly optimal under all source, receiver, path, and noise conditions tested, an STA/LTA algorithm incorporating adaptive window lengths controlled by nonstationary seismogram spectral characteristics was found to provide an output that best met the requirements of a global correlation-based event-detection and location system.

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An Efficient Smartphone Assisted Indoor Localization with Tracking Approach using Glowworm Swarm Optimization Algorithm

10.54216/jcim.060203 ◽

2021 ◽

pp. 101-107

Author(s):

Mohammad Alshehri ◽

Keyword(s):

Real Time ◽

Indoor Localization ◽

Initial Position ◽

Swarm Optimization ◽

The Real ◽

Assisted Navigation ◽

Glowworm Swarm Optimization ◽

Tracking Process ◽

Wide Range ◽

Localization And Tracking

Presently, a precise localization and tracking process becomes significant to enable smartphone-assisted navigation to maximize accuracy in the real-time environment. Fingerprint-based localization is the commonly available model for accomplishing effective outcomes. With this motivation, this study focuses on designing efficient smartphone-assisted indoor localization and tracking models using the glowworm swarm optimization (ILT-GSO) algorithm. The ILT-GSO algorithm involves creating a GSO algorithm based on the light-emissive characteristics of glowworms to determine the location. In addition, the Kalman filter is applied to mitigate the estimation process and update the initial position of the glowworms. A wide range of experiments was carried out, and the results are investigated in terms of distinct evaluation metrics. The simulation outcome demonstrated considerable enhancement in the real-time environment and reduced the computational complexity. The ILT-GSO algorithm has resulted in an increased localization performance with minimal error over the recent techniques.

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Separating damage from environmental effects affecting civil structures for near real-time damage detection

Structural Health Monitoring ◽

10.1177/1475921717722060 ◽

2017 ◽

Vol 17 (4) ◽

pp. 850-868 ◽

Cited By ~ 7

Author(s):

William Soo Lon Wah ◽

Yung-Tsang Chen ◽

Gethin Wyn Roberts ◽

Ahmed Elamin

Keyword(s):

Damage Detection ◽

Real Time ◽

Environmental Effects ◽

Environmental Conditions ◽

Principal Component ◽

Detection Methods ◽

Real Time Monitoring ◽

Civil Structures ◽

Data Set ◽

Wide Range

Analyzing changes in vibration properties (e.g. natural frequencies) of structures as a result of damage has been heavily used by researchers for damage detection of civil structures. These changes, however, are not only caused by damage of the structural components, but they are also affected by the varying environmental conditions the structures are faced with, such as the temperature change, which limits the use of most damage detection methods presented in the literature that did not account for these effects. In this article, a damage detection method capable of distinguishing between the effects of damage and of the changing environmental conditions affecting damage sensitivity features is proposed. This method eliminates the need to form the baseline of the undamaged structure using damage sensitivity features obtained from a wide range of environmental conditions, as conventionally has been done, and utilizes features from two extreme and opposite environmental conditions as baselines. To allow near real-time monitoring, subsequent measurements are added one at a time to the baseline to create new data sets. Principal component analysis is then introduced for processing each data set so that patterns can be extracted and damage can be distinguished from environmental effects. The proposed method is tested using a two-dimensional truss structure and validated using measurements from the Z24 Bridge which was monitored for nearly a year, with damage scenarios applied to it near the end of the monitoring period. The results demonstrate the robustness of the proposed method for damage detection under changing environmental conditions. The method also works despite the nonlinear effects produced by environmental conditions on damage sensitivity features. Moreover, since each measurement is allowed to be analyzed one at a time, near real-time monitoring is possible. Damage progression can also be given from the method which makes it advantageous for damage evolution monitoring.

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Direct Analysis in Real Time by Mass Spectrometric Technique for Determining the Variation in Metabolite Profiles ofCinnamomum tamalaNees and Eberm Genotypes

The Scientific World JOURNAL ◽

10.1100/2012/549265 ◽

2012 ◽

Vol 2012 ◽

pp. 1-6 ◽

Cited By ~ 3

Author(s):

Vineeta Singh ◽

Atul Kumar Gupta ◽

S. P. Singh ◽

Anil Kumar

Keyword(s):

Real Time ◽

Principal Component ◽

Direct Analysis ◽

Ion Source ◽

Diabetic Patients ◽

Phytochemical Analysis ◽

Active Components ◽

Cinnamomum Tamala ◽

Wide Range ◽

Metabolite Profiles

Cinnamomum tamalaNees & Eberm. is an important traditional medicinal plant, mentioned in various ancient literatures such as Ayurveda. Several of its medicinal properties have recently been proved. To characterize diversity in terms of metabolite profiles ofCinnamomum tamalaNees and Eberm genotypes, a newly emerging mass spectral ionization technique direct time in real time (DART) is very helpful. The DART ion source has been used to analyze an extremely wide range of phytochemicals present in leaves ofCinnamomum tamala. Ten genotypes were assessed for the presence of different phytochemicals. Phytochemical analysis showed the presence of mainly terpenes and phenols. These constituents vary in the different genotypes ofCinnamomum tamala. Principal component analysis has also been employed to analyze the DART data of theseCinnamomumgenotypes. The result shows that the genotype ofCinnamomum tamalacould be differentiated using DART MS data. The active components present inCinnamomum tamalamay be contributing significantly to high amount of antioxidant property of leaves and, in turn, conditional effects for diabetic patients.

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Real-time gaze estimation via pupil center tracking

Paladyn Journal of Behavioral Robotics ◽

10.1515/pjbr-2018-0002 ◽

2018 ◽

Vol 9 (1) ◽

pp. 6-18 ◽

Cited By ~ 2

Author(s):

Dario Cazzato ◽

Fabio Dominio ◽

Roberto Manduchi ◽

Silvia M. Castro

Keyword(s):

Real Time ◽

Learning Algorithm ◽

Natural Environments ◽

Gaze Estimation ◽

Head Pose ◽

Data Set ◽

Gaze Tracking ◽

Illumination Changes ◽

Wide Range ◽

Estimation System

Abstract Automatic gaze estimation not based on commercial and expensive eye tracking hardware solutions can enable several applications in the fields of human computer interaction (HCI) and human behavior analysis. It is therefore not surprising that several related techniques and methods have been investigated in recent years. However, very few camera-based systems proposed in the literature are both real-time and robust. In this work, we propose a real-time user-calibration-free gaze estimation system that does not need person-dependent calibration, can deal with illumination changes and head pose variations, and can work with a wide range of distances from the camera. Our solution is based on a 3-D appearance-based method that processes the images from a built-in laptop camera. Real-time performance is obtained by combining head pose information with geometrical eye features to train a machine learning algorithm. Our method has been validated on a data set of images of users in natural environments, and shows promising results. The possibility of a real-time implementation, combined with the good quality of gaze tracking, make this system suitable for various HCI applications.

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Comparison between Online and Offline Price of Tobacco Products Using Novel Datasets

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph15102282 ◽

2018 ◽

Vol 15 (10) ◽

pp. 2282 ◽

Cited By ~ 1

Author(s):

Magdalena Opazo Breton ◽

John Britton ◽

Yue Huang ◽

Ilze Bogdanovica

Keyword(s):

Regression Analysis ◽

Real Time ◽

Control Measure ◽

Data Sources ◽

Tobacco Products ◽

Product Range ◽

Daily Data ◽

Wide Range ◽

Commercial Sources ◽

Price Differences

Price of tobacco products has traditionally been relevant both for the industry, to respond to policy changes, and for governments, as an effective tobacco control measure. However, monitoring prices across a wide range of brands and brand variants requires access to expensive commercial sales databases. This study aims to investigate the comparability of average tobacco prices from two commercial sources and an in-house monitoring database which provides daily data in real time at minimal cost. We used descriptive and regression analysis to compare the monthly average numbers of brands, brand variants, products and prices of cigarettes and hand-rolling tobacco using commercial data from Nielsen Scantrack and Kantar Worldpanel, and an online price database (OPD) created in Nottingham, for the period from May 2013 to February 2017. There were marked differences in the number of products tracked in the three data sources. Nielsen was the most comprehensive and Kantar Worldpanel the least. Though average prices were very similar between the three datasets, Nottingham OPD prices were the highest and Kantar Worldpanel the lowest. However, regression analysis demonstrated that after adjustment for differences in product range, price differences between the datasets were very small. After allowing for differences in product range these data sources offer representative prices for application in price research. Online price tracking offers an inexpensive and near real-time alternative to the commercial datasets.

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Application of the real-time PCR in veterinary practice

Russian veterinary journal ◽

10.32416/2500-4379-2020-2-5-12 ◽

2020 ◽

Vol 2020 (2) ◽

pp. 5-12

Author(s):

Maksim Doronin ◽

Dmitriy Lozovoy ◽

Aleksey Scherbakov ◽

Vladimir Makarov

Keyword(s):

Infectious Diseases ◽

Real Time ◽

Quantitative Pcr ◽

Biological Material ◽

Molecular Genetic ◽

The Body ◽

Suspected Infection ◽

Virus Content ◽

Wide Range ◽

Pathogenic Agents

To date the molecular genetic methods of analysis are widely used for laboratory diagnostic tests in various infectious diseases of animals. This discourse reflects information about the history of the invention of real-time polymerase chain reaction (PCR-RV), the nature of the processes that occur during this reaction, the main stages of the reaction, the preparation of biological material for research in PCR-RV. The spectrum of possibilities of using the PCR-RV method for a qualitative study of biological material in cases of suspected infection of animals with certain viral and bacterial agents, as well as a quantitative assessment of the virus content in tissues, organs or in the body by analogy with conventional methods for titrating infectiousness without direct manipulation with pathogenic agents, is presented. . A quantitative PCR-RV option allows veterinarians to evaluate the pathogenetic dynamics of the development of the disease, monitor the effect of antiviral and antibacterial therapy, and monitor the emergence of pathogen variants with high resistance to the drugs used. Thanks to the development of ARRIAH, the qualitative and quantitative PCR-RV method can now be used in domestic veterinary science and laboratory practice for the diagnosis of a wide range of animal infectious diseases.

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