Data Modelling Method for Real-Time Advertising Service Based on Viewer Reaction and Intention in Online Broadcasting

2020 ◽  
Vol 47 (11) ◽  
pp. 1086-1091
Author(s):  
Seongju Kang ◽  
Chaeeun Jeong ◽  
Kwangsue Chung
Keyword(s):  
Real Time ◽  
Data Modelling ◽  
Modelling Method

A Multi-Station Troposphere Modelling Method Based on Error Compensation Considering the Influence of Height Factor

2020 ◽  
pp. 1-22
Author(s):  
Qing Zhao ◽  
Shuguo Pan ◽  
Chengfa Gao ◽  
Longlei Qiao ◽  
Wang Gao ◽  
...  
Keyword(s):  
Real Time ◽  
Error Compensation ◽  
Interpolation Method ◽  
Linear Interpolation ◽  
Critical Issue ◽  
Tropospheric Delay ◽  
Height Difference ◽  
Modelling Method ◽  
Interpolation Accuracy ◽  
Small Height

One critical issue in network real-time kinematic (NRTK) is the interpolation of atmospheric delay for user stations. Some classic interpolation algorithms, such as linear interpolation method (LIM), ignore the strong correlation between tropospheric delay and height factors, and the interpolation accuracy is poor in areas with large height difference. To solve this problem, a troposphere modelling method based on error compensation, namely ECDIM (Error Compensation-Based DIM), is proposed, and this method can be applied to both conventional single Delaunay triangulated network (DTN) and multi-station scenarios. The results of California Real Time Network (CRTN) with large height difference show that compared with LIM, the overall modelling accuracy with ECDIM has been improved by 50.1% to 67.3%, and especially for low elevation satellites (e.g., 10–20 degree), the accuracy is increased from tens of centimetres to a few centimetres. At user end, the positioning error in up direction with LIM has an obvious systematic deviation, and the fix rate of epoch is relatively low. This situation has been improved significantly after using ECDIM. The results of Tianjin Continuously Operating Reference System (TJCORS) show that in areas with small height difference, both methods have achieved high precision interpolation accuracy, and the positioning accuracy with ECDIM in up direction is improved by 21.2% compared with LIM.

An entity/event data modelling method

1979 ◽  
Vol 22 (3) ◽  
pp. 270-281 ◽  
Author(s):  
K. A. Robinson
Keyword(s):  
Event Data ◽  
Data Modelling ◽  
Modelling Method

An effective foreground segmentation using adaptive region based background modelling

2020 ◽  
Vol 48 (1) ◽  
pp. 23-34
Author(s):  
Shahidha Banu S. ◽  
Maheswari N.
Keyword(s):  
Object Detection ◽  
Real Time ◽  
Background Subtraction ◽  
Moving Object ◽  
Foreground Segmentation ◽  
Foreground Object ◽  
Foreground Extraction ◽  
Content Type ◽  
Background Modelling ◽  
Modelling Method

Purpose Background modelling has played an imperative role in the moving object detection as the progress of foreground extraction during video analysis and surveillance in many real-time applications. It is usually done by background subtraction. This method is uprightly based on a mathematical model with a fixed feature as a static background, where the background image is fixed with the foreground object running over it. Usually, this image is taken as the background model and is compared against every new frame of the input video sequence. In this paper, the authors presented a renewed background modelling method for foreground segmentation. The principal objective of the work is to perform the foreground object detection only in the premeditated region of interest (ROI). The ROI is calculated using the proposed algorithm reducing and raising by half (RRH). In this algorithm, the coordinate of a circle with the frame width as the diameter is considered for traversal to find the pixel difference. The change in the pixel intensity is considered to be the foreground object and the position of it is determined based on the pixel location. Most of the techniques study their updates to the pixels of the complete frame which may result in increased false rate; The proposed system deals these flaw by controlling the ROI object (the region only where the background subtraction is performed) and thus extracts a correct foreground by exactly categorizes the pixel as the foreground and mines the precise foreground object. The broad experimental results and the evaluation parameters of the proposed approach with the state of art methods were compared against the most recent background subtraction approaches. Moreover, the efficiency of the authors’ method is analyzed in different situations to prove that this method is available for real-time videos as well as videos available in the 2014 challenge change detection data set. Design/methodology/approach In this paper, the authors presented a fresh background modelling method for foreground segmentation. The main objective of the work is to perform the foreground object detection only on the premeditated ROI. The region for foreground extraction is calculated using proposed RRH algorithm. Most of the techniques study their updates to the pixels of the complete frame which may result in increased false rate; most challenging case is that, the slow moving object is updated quickly to detect the foreground region. The anticipated system deals these flaw by controlling the ROI object (the region only where the background subtraction is performed) and thus extracts a correct foreground by exactly categorizing the pixel as the foreground and mining the precise foreground object. Findings Plum Analytics provide a new conduit for documenting and contextualizing the public impact and reach of research within digitally networked environments. While limitations are notable, the metrics promoted through the platform can be used to build a more comprehensive view of research impact. Originality/value The algorithm used in the work was proposed by the authors and are used for experimental evaluations.

OMNIBUS: a program for reduction, modelling and viewing X-ray single-crystal data from various four-circle diffractometers

2002 ◽  
Vol 35 (5) ◽  
pp. 641-643 ◽  
Author(s):  
E. Gałdecka
Keyword(s):  
Single Crystal ◽  
Data Modelling ◽  
Crystal Data ◽  
Special Report ◽  
X Ray ◽  
Modelling Method ◽  
Symmetric Profile ◽  
Modelling Methods ◽  
Selection Of ◽  
Refined Version

OMNIBUSis a new, revised, extended and refined version of theDATPROC9program [Gałdecka (1999).J. Appl. Cryst.32, 827–832]. The basic aim of the program is to process the step-scan-measured Bragg reflections recorded on a single-crystal diffractometer to obtain aname.hkl collection of intensities for crystal structure determination. The task may be realised byOMNIBUSwith various methods, from simple ones to more sophisticated ones, based on the learnt-profile idea. Another aim that may be realised with the program is the inspection of intensity plots of the measured profiles and, for the data modelling methods, their models. The novelty of the program, in relation to its former version, lies in a new `symmetric' profile modelling method, the use of a common background model, the possibility of optimization of the width of the profile range, a wider selection of options for the calculations [available to the user in the program menu(s)] and the compatibility of the program with data from various single-crystal diffractometers (KM4-Kuma Diffraction, P3 of Siemens, CAD, Nicolet and Stoe). Special attention is paid to the data modelling, which may be observed on the screen during the calculations and analysed afterwards, based on special report files, which can for some users be treated as a task in itself.

Real-Time Drilling Operation Activity Analysis Data Modelling with Multidimensional Approach and Column-Oriented Storage

2019 ◽  
Author(s):  
Basirudin Djamaluddin ◽  
Prajitha Prabhakar ◽  
Baburaj James ◽  
Anas Muzakir ◽  
Hussain AlMayad
Keyword(s):  
Real Time ◽  
Analysis Data ◽  
Activity Analysis ◽  
Multidimensional Approach ◽  
Data Modelling ◽  
Drilling Operation

Some Recent Results in Quiescent Prominence Spectrometry

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.

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

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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