Measuring and forecasting retail trade in real time using card transactional data

India has high digital ambitions despite considerable poverty, the digital divide, and continued high currency usage. Digitalisation has caused both excitement and fear in India – government and companies are excited about an increase in efficiency, closing the leakages, customer confidence, and satisfaction. The present study examines the role of digitalisation in the Indian economy, especially in creating a unique Digital ID (Aadhaar) and its impact on the economic, financial, and payment infrastructure. The study finds major innovations in cheque processing, real-time gross settlement, national electronic fund transfer, and other payment methods have considerably reduced the cost of banking facility in India. The Indian capital market has already witnessed electronic trading and settlement and has recently witnessed emergence of no-brokerage companies which can change the fundamental dynamics of the investment industry in India. The retail trade market, especially e-commerce, ride share market in India reflecting global trends, has also witnessed considerable “multi-homing.”

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Application of Real-Time Locating in Health Care

Archives of Industrial Hygiene and Toxicology ◽

10.2478/10004-1254-60-2009-1978 ◽

2009 ◽

Vol 60 (4) ◽

pp. 503-508 ◽

Cited By ~ 2

Author(s):

Dubravko Žigman ◽

Slaven Krajina ◽

Marija Krznarić

Keyword(s):

Health Care ◽

Everyday Life ◽

Real Time ◽

Medical Equipment ◽

Retail Trade ◽

Working Environment ◽

Hospital Equipment

Application of Real-Time Locating in Health CareThis paper describes real-time locating technology and its possible use in health care. Real time locating may be applied in different segments of everyday life, including hospitals (medical equipment and devices, locating patients, and alarm in case of emergency), working environment (locating persons to control access to restricted areas or in case of fire to see if anyone has been trapped inside the building), sports, logistics, retail trade, and offices. Tagged hospital equipment is easy to trace inside hospital premises and the system makes it possible to track patients and staff, and to redistribute work in particular wards.

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Processing Data Streams

Novel Approaches to Information Systems Design - Advances in Computer and Electrical Engineering ◽

10.4018/978-1-7998-2975-1.ch002 ◽

2020 ◽

pp. 20-39

Author(s):

Parimala N.

Keyword(s):

Data Processing ◽

Real Time ◽

Data Streams ◽

Data Stream ◽

Continuous Queries ◽

Stream Data ◽

Continuous Sequence ◽

Static Data ◽

Transactional Data ◽

Events Data

A data stream is a real-time continuous sequence that may be comprised of data or events. Data stream processing is different from static data processing which resides in a database. The data stream data is seen only once. It is too voluminous to store statically. A small portion of data called a window is considered at a time for querying, computing aggregates, etc. In this chapter, the authors explain the different types of window movement over incoming data. A query on a stream is repeatedly executed on the new data created by the movement of the window. SQL extensions to handle continuous queries is addressed in this chapter. Streams that contain transactional data as well as those that contain events are considered.

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Real Time Feature Convergence Measure for Efficient Discrimination for Transactional Data Set

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.d5293.118419 ◽

2019 ◽

Vol 8 (4) ◽

pp. 7323-7328

Keyword(s):

Real Time ◽

Data Set ◽

Number Of Clusters ◽

Fcm Algorithm ◽

Probabilistic Mapping ◽

Performance Development ◽

Transactional Data ◽

Mapping Scheme

The problem of discrimination in transactional data set has been well studied. Numerous techniques has been recommended by various researchers but suffer to achieve higher performance. To handle this issue, a real time feature convergence measure based discrimination prevention algorithm is presented in this paper. The method first eliminates the noisy records by preprocessing the transactional data set. Second, the transactional data set has been grouped into number of clusters according to the pattern relevancy measure (PRM). Using the clusters generated, the the feature convergence measure (FCM) is computed for each item towards each cluster. The value of FCM is used to select a subset of items as sensitive one. Based on identified sensitive items, the method performs sanitization using probabilistic mapping scheme. The FCM algorithm supports the performance development of sanitization and discrimination prevention.

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DIFFERENTIAL IMPACT OF COVID-19 IN AUSTRALIA: EVIDENCE FROM GOOGLE SEARCH DATA

Journal of Business & Economic Analysis ◽

10.1142/s273756682150002x ◽

2021 ◽

Vol 04 (01) ◽

pp. 5-21

Author(s):

WEE CHIAN KOH

Keyword(s):

Real Time ◽

Service Sector ◽

Retail Trade ◽

Disease Spread ◽

Face To Face ◽

Delivery Services ◽

Search Data ◽

Google Search ◽

The Impact ◽

Spatial Impacts

Quantifying the immediate economic impact of COVID-19 is important to design proportionate relief and support policies. However, surveys of businesses and households are only typically available after considerable delay. We use near-real-time Google search data to examine the temporal and spatial impacts of COVID-19 on service sector activity in Australia. We find that the travel-related and consumer-facing sectors, such as aviation, tourism, hotels, restaurants, and retail trade, suffered steep contractions during the outbreak. By contrast, sectors that involve less physical and face-to-face interaction, such as info-communication technology (ICT) and delivery services, experienced significant gains. The magnitude of the impact is large. During the first COVID-19 wave between January and March, the demand for air travel, tourism, and hotel accommodation declined by 60–80%, while the demand for ICT and delivery services surged by more than 50%. In states and territories with low caseloads, the impact has also been severe due to government-enforced nationwide social distancing measures to contain disease spread. However, in states and territories that eased restrictions earlier and faster, there has been no significant reduction in demand for certain consumer-facing services. Our findings demonstrate the usefulness of high-frequency and near-real-time indicators in monitoring the rapidly unfolding effects of COVID-19.

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Some Recent Results in Quiescent Prominence Spectrometry

International Astronomical Union Colloquium ◽

10.1017/s0252921100065179 ◽

1979 ◽

Vol 44 ◽

pp. 41-47

Author(s):

Donald A. Landman

Keyword(s):

Real Time ◽

Computer System ◽

Spectral Response ◽

Absolute Intensity ◽

Solar Observatory ◽

Target Size ◽

Small Target ◽

Signal Averaging ◽

Quiescent Prominence

This paper describes some recent results of our quiescent prominence spectrometry program at the Mees Solar Observatory on Haleakala. The observations were made with the 25 cm coronagraph/coudé spectrograph system using a silicon vidicon detector. This detector consists of 500 contiguous channels covering approximately 6 or 80 Å, depending on the grating used. The instrument is interfaced to the Observatory’s PDP 11/45 computer system, and has the important advantages of wide spectral response, linearity and signal-averaging with real-time display. Its principal drawback is the relatively small target size. For the present work, the aperture was about 3″ × 5″. Absolute intensity calibrations were made by measuring quiet regions near sun center.

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Video real-time imaging of artificial membranes during freeze-drying by cryo-electron microscopy

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010010216x ◽

1988 ◽

Vol 46 ◽

pp. 16-17

Author(s):

Alan S. Rudolph ◽

Ronald R. Price

Keyword(s):

Real Time ◽

Self Assembly ◽

Freeze Drying ◽

Video Capture ◽

Drying Process ◽

Artificial Membranes ◽

The Past ◽

Cryo Electron Microscopy ◽

Spherical Structures ◽

Capture Techniques

We have employed cryoelectron microscopy to visualize events that occur during the freeze-drying of artificial membranes by employing real time video capture techniques. Artificial membranes or liposomes which are spherical structures within internal aqueous space are stabilized by water which provides the driving force for spontaneous self-assembly of these structures. Previous assays of damage to these structures which are induced by freeze drying reveal that the two principal deleterious events that occur are 1) fusion of liposomes and 2) leakage of contents trapped within the liposome [1]. In the past the only way to access these events was to examine the liposomes following the dehydration event. This technique allows the event to be monitored in real time as the liposomes destabilize and as water is sublimed at cryo temperatures in the vacuum of the microscope. The method by which liposomes are compromised by freeze-drying are largely unknown. This technique has shown that cryo-protectants such as glycerol and carbohydrates are able to maintain liposomal structure throughout the drying process.

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An Interactive Minicomputer Program for the Indexing and Simulation of Electron Diffraction Patterns

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100092670 ◽

1976 ◽

Vol 34 ◽

pp. 542-543

Author(s):

R.P. Goehner ◽

W.T. Hatfield ◽

Prakash Rao

Keyword(s):

Electron Diffraction ◽

Real Time ◽

Pattern Analysis ◽

Flow Diagram ◽

Hard Copy ◽

Time Analysis ◽

Real Time Analysis ◽

Transmission Electron ◽

One Step ◽

Diffraction Patterns

Computer programs are now available in various laboratories for the indexing and simulation of transmission electron diffraction patterns. Although these programs address themselves to the solution of various aspects of the indexing and simulation process, the ultimate goal is to perform real time diffraction pattern analysis directly off of the imaging screen of the transmission electron microscope. The program to be described in this paper represents one step prior to real time analysis. It involves the combination of two programs, described in an earlier paper(l), into a single program for use on an interactive basis with a minicomputer. In our case, the minicomputer is an INTERDATA 70 equipped with a Tektronix 4010-1 graphical display terminal and hard copy unit.A simplified flow diagram of the combined program, written in Fortran IV, is shown in Figure 1. It consists of two programs INDEX and TEDP which index and simulate electron diffraction patterns respectively. The user has the option of choosing either the indexing or simulating aspects of the combined program.

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Microstructural investigation of surface roughness in MBE-grown AlAs

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100138646 ◽

1995 ◽

Vol 53 ◽

pp. 454-455

Author(s):

R. Rajesh ◽

R. Droopad ◽

C. H. Kuo ◽

R. W. Carpenter ◽

G. N. Maracas

Keyword(s):

Thin Film ◽

Real Time ◽

Growth Control ◽

Native Oxide ◽

Effusion Cell ◽

Surface Oxide Layer ◽

Microstructural Investigation ◽

Mbe Growth ◽

Film Substrate ◽

And Control

Knowledge of material pseudodielectric functions at MBE growth temperatures is essential for achieving in-situ, real time growth control. This allows us to accurately monitor and control thicknesses of the layers during growth. Undesired effusion cell temperature fluctuations during growth can thus be compensated for in real-time by spectroscopic ellipsometry. The accuracy in determining pseudodielectric functions is increased if one does not require applying a structure model to correct for the presence of an unknown surface layer such as a native oxide. Performing these measurements in an MBE reactor on as-grown material gives us this advantage. Thus, a simple three phase model (vacuum/thin film/substrate) can be used to obtain thin film data without uncertainties arising from a surface oxide layer of unknown composition and temperature dependence.In this study, we obtain the pseudodielectric functions of MBE-grown AlAs from growth temperature (650°C) to room temperature (30°C). The profile of the wavelength-dependent function from the ellipsometry data indicated a rough surface after growth of 0.5 μm of AlAs at a substrate temperature of 600°C, which is typical for MBE-growth of GaAs.

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