Points-of-Interest Recommendation Algorithms for a COVID-19 Restrictions Scenario in the Catering Industry

2021 ◽  
Author(s):  
Gleb Glukhov ◽  
Ivan Derevitskii
Keyword(s):  
Points Of Interest ◽  
Catering Industry ◽  
Recommendation Algorithms

Theory and Errors in Stereo Electron Microscopy

1968 ◽  
Vol 26 ◽  
pp. 336-337
Author(s):  
J. M. Pankratz
Keyword(s):  
Electron Microscopy ◽  
Transmission Electron Microscopy ◽  
Plane Wave ◽  
Focal Length ◽  
Foil Thickness ◽  
Points Of Interest ◽  
Transmission Electron ◽  
Vertical Spacing ◽  
Illuminating System

It is often desirable in transmission electron microscopy to know the vertical spacing of points of interest within a specimen. However, in order to measure a stereo effect, one must have two pictures of the same area taken from different angles, and one must have also a formula for converting measured differences between corresponding points (parallax) into a height differential.Assume (a) that the impinging beam of electrons can be considered as a plane wave and (b) that the magnification is the same at the top and bottom of the specimen. The first assumption is good when the illuminating system is overfocused. The second assumption (the so-called “perspective error”) is good when the focal length is large (3 x 107Å) in relation to foil thickness (∼103 Å).

Small Computer System for Micrograph Analysis

1981 ◽  
Vol 39 ◽  
pp. 270-271
Author(s):  
J. F. Hainfeld ◽  
J. S. Wall
Keyword(s):  
Large Range ◽  
Small Computer ◽  
Black And White ◽  
Contour Maps ◽  
Points Of Interest ◽  
Computer Aided Analysis ◽  
Specialized Hardware ◽  
Additional Memory ◽  
Selection Of ◽  
Publication Quality

Cost reduction and availability of specialized hardware for image processing have made it reasonable to purchase a stand-alone interactive work station for computer aided analysis of micrographs. Some features of such a system are: 1) Ease of selection of points of interest on the micrograph. A cursor can be quickly positioned and coordinates entered with a switch. 2) The image can be nondestructively zoomed to a higher magnification for closer examination and roaming (panning) can be done around the picture. 3) Contrast and brightness of the picture can be varied over a very large range by changing the display look-up tables. 4) Marking items of interest can be done by drawing circles, vectors or alphanumerics on an additional memory plane so that the picture data remains intact. 5) Color pictures can easily be produced. Since the human eye can detect many more colors than gray levels, often a color encoded micrograph reveals many features not readily apparent with a black and white display. Colors can be used to construct contour maps of objects of interest. 6) Publication quality prints can easily be produced by taking pictures with a standard camera of the T.V. monitor screen.

A Novel Algorithm based on UBTMF for Colour Pictures

2018 ◽  
Vol 8 (4) ◽  
pp. 84
Author(s):  
Himanshu Rehani ◽  
Anuradha Saini
Keyword(s):  
Driving Forces ◽  
Median Filter ◽  
Main Stream ◽  
Points Of Interest ◽  
Novel Algorithm

The issue of picture denoising is one of the most established in the field, is as yet getting extensive focus from the exploration zone due to consistently expanding interest for sensibly valued great media and in additament its part as a pre-preparing venture for picture division, pressure, and so on, because of high spatial being without a vocation of mundane pictures, nearby averaging of the pixels impressively abate the commotion while bulwark the first structure of the picture. To enhance the execution of the essential channels, more compelling sifting calculations including the exchanging vector channels and the amalgamation vector. In spite of the fact that there are different sifting calculations to cull, the more preponderant part of them is not outfit predicated. Multifarious Median Filter (AMF) performs well at low commotion densities. Be that as it may, at high filter densities the window measure must be expanded which may prompt obscuring the picture. In exchanging middle channel the cull depends on Re-characterized limit esteem. The paramount downside of this technique is that characterizing a vigorous cull is onerous. Supplementally these channels won't consider the nearby highlights because of which points of interest and edges may not be recouped severely, concretely when the filter level is high. To vanquish the above downside, Decision Predicated Algorithm (DBA) is proposed. In this, the picture is denoised by utilizing a 3x3 window. On the off chance that the preparing pixel esteem is 0 or 255 it is handled or else it is left unaltered. At high commotion thickness the middle esteem will be 0 or 255 which is boisterous. The goal of disuniting is to expel the driving forces so the commotion free picture is planarity recouped with least flag bending. Filter (Clamor) expulsion can be accomplished by utilizing sundry subsisting direct dissevering procedures which are main stream as a result of their numerical straightforwardness and the presence of the assembling direct framework hypothesis. In spite of the fact that middle channels expel motivation clamor without harming the edges, the prodigious majority of them work consistently over the picture and in this way have a propensity to alter both commotion and clamor free pixels. Preferably, the disuniting ought to be connected just to debased pixels while leaving uncorrupted pixels in place. We propose a novel calculation for clamor diminishment in light of UBTMF for Colour pictures.

A Survey on Database in Cloud Computing with Reference to the Traditional Database

2017 ◽  
Vol 7 (11) ◽  
pp. 150
Author(s):  
Eter Basar ◽  
Ankur Pan Saikia ◽  
L. P. Saikia
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
The Internet ◽  
Data Organization ◽  
Technology Industry ◽  
Business Applications ◽  
Business Information ◽  
Points Of Interest ◽  
Cloud Databases ◽  
Online Reservation

Data Technology industry has been utilizing the customary social databases for around 40 years. Be that as it may, in the latest years, there was a generous transformation in the IT business as far as business applications. Remain solitary applications have been supplanted with electronic applications, conferred servers with different proper servers and committed stockpiling with framework stockpiling. Lower expense, adaptability, the model of pay-as-you-go are the fundamental reasons, which caused the conveyed processing are transformed into reality. This is a standout amongst the hugest upsets in Information Technology, after the development of the Internet. Cloud databases, Big Table, Sherpa, and SimpleDB are getting the opportunity to be more natural to groups. They featured the hindrances of current social databases as far as convenience, adaptability, and provisioning. Cloud databases are basically utilized for data raised applications, for example, stockpiling and mining of gigantic information or business information. These applications are adaptable and multipurpose in nature. Various esteem based data organization applications, such as managing an account, online reservation, e-exchange and stock organization, and so on are delivered. Databases with the help of these sorts of uses need to incorporate four essential highlights: Atomicity, Consistency, Isolation, and Durability (ACID), in spite of the fact that utilizing these databases isn't basic for utilizing as a part of the cloud. The objective of this paper is to discover the points of interest and disservices of databases generally utilized in cloud frameworks and to survey the difficulties in creating cloud databases

Points of Interest Recommendations Based on Check-In Motivations

2019 ◽  
Vol 24 (2) ◽  
pp. 147-159 ◽  
Author(s):  
Khadija Ali Vakeel ◽  
Sanjog Ray
Keyword(s):  
Points Of Interest

Feature-based multi-criteria recommendation system using a weighted approach with ranking correlation

2021 ◽  
Vol 25 (4) ◽  
pp. 1013-1029
Author(s):  
Zeeshan Zeeshan ◽  
Qurat ul Ain ◽  
Uzair Aslam Bhatti ◽  
Waqar Hussain Memon ◽  
Sajid Ali ◽  
...  
Keyword(s):  
Recommendation System ◽  
Sources Of Information ◽  
Multiple Features ◽  
Recommendation Algorithms ◽  
Label Correlations ◽  
Feature Based ◽  
Multicriteria Model ◽  
Implicit And Explicit ◽  
Hybrid Recommendation ◽  
Different Sources

With the increase of online businesses, recommendation algorithms are being researched a lot to facilitate the process of using the existing information. Such multi-criteria recommendation (MCRS) helps a lot the end-users to attain the required results of interest having different selective criteria – such as combinations of implicit and explicit interest indicators in the form of ranking or rankings on different matched dimensions. Current approaches typically use label correlation, by assuming that the label correlations are shared by all objects. In real-world tasks, however, different sources of information have different features. Recommendation systems are more effective if being used for making a recommendation using multiple criteria of decisions by using the correlation between the features and items content (content-based approach) or finding a similar user rating to get targeted results (Collaborative filtering). To combine these two filterings in the multicriteria model, we proposed a features-based fb-knn multi-criteria hybrid recommendation algorithm approach for getting the recommendation of the items by using multicriteria features of items and integrating those with the correlated items found in similar datasets. Ranks were assigned to each decision and then weights were computed for each decision by using the standard deviation of items to get the nearest result. For evaluation, we tested the proposed algorithm on different datasets having multiple features of information. The results demonstrate that proposed fb-knn is efficient in different types of datasets.

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