scholarly journals Design and Analysis of Spatial Skyline Queries Indexing

2020 ◽  
Vol 9 (4S2) ◽  
pp. 23-29
Keyword(s):  
Current Practice ◽  
Dimensional Space ◽  
Information Age ◽  
Secondary Memory ◽  
Skyline Query ◽  
Skyline Queries ◽  
Keyword Query ◽  
Spatial Keyword Query ◽  
Nearest Points ◽  
The Ideal

Dwelling in the information age permits nearly everybody needs to recover countless information and choices to gather from to fulfill their necessities. In distinctive cases, the quantity of information accessible and the speed of change may cover the ideal and required explanation. Spatial-textual queries provide the most acclaimed nearest points concerning a conveyed site and a keyword set. Current practice regularly thought on the most capable technique to expertly get the top-k resultset reestablished a spatial-scholarly query. A capable Spatial Range Skyline Query (SRSQ) algorithm is proposed which initially performsa spatial keyword query (SKQ) that relies upon an IRtree that documents the information. Skyline centers picked are not simply established on their partitions to a lot of inquiries and more subject to their significance to a social occasion of query keywords. Additionally, besides proposed range skyline (RS) methods based on R-tree multi-dimensional space including secondary- memory pruning tools for operating field skyline queries is accomplished. The advanced scheme is dynamic and I/O optimum. Ultimately, methodology presents a modern assessment that demonstrates the proficiency.

Application of a Medical Information System for Image-Based Second Opinion Consultations

2015 ◽  
Vol 4 (3) ◽  
pp. 19-26
Author(s):  
Ekaterina Kldiashvili
Keyword(s):  
Information System ◽  
Medical Records ◽  
Medical Information ◽  
Cervical Screening ◽  
Information Age ◽  
Second Opinion ◽  
Medical Information System ◽  
Screening Activity ◽  
Technology Solution ◽  
The Ideal

This article will present the architecture of the medical information system (MIS) developed in Georgia and its application for image-based second opinion consultations. The primary goal of the MIS is patient management. However, the system can be successfully applied for image based second opinion consultations. Five hundred Georgian language electronic medical records from the cervical screening activity illustrated by images were selected for second opinion consultations. It has been shown, that the MIS is perspective and actual technology solution. It can be successfully and effectively used for image based second opinion consultations. The ideal of healthcare in the information age must be to create a situation where healthcare professionals spend more time creating knowledge from medical information and less time managing this information. The application of available and adaptable technology and improvement of the infrastructure conditions is the basis for eHealth applications.

scholarly journals Percentile Study of χ Distribution. Application to Response Time Data

Mathematics ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 514 ◽  
Author(s):  
Juan Carlos Castro-Palacio ◽  
Pedro Fernández-de-Córdoba ◽  
J. M. Isidro ◽  
Esperanza Navarro-Pardo ◽  
Romeo Selvas Aguilar
Keyword(s):  
Time Distribution ◽  
Dimensional Space ◽  
Reaction Times ◽  
Approximate Expression ◽  
Boltzmann Distribution ◽  
Ideal Gas ◽  
Practical Case ◽  
Time Data ◽  
School Aged Children ◽  
The Ideal

As a continuation of our previous work, where a Maxwell–Boltzmann distribution was found to model a collective’s reaction times, in this work we will carry out a percentile study of the χ distribution for some freedom ranging from k = 2 to k = 10. The most commonly used percentiles in the biomedical and behavioral sciences have been included in the analysis. We seek to provide a look-up table with percentile ratios, taken symmetrically about the median, such that this distribution can be identified in practice in an easy way. We have proven that these ratios do not depend upon the variance chosen for the k generating Gaussians. In general, the χ probability density, generalized to take any value of the variance, represents an ideal gas in a k-dimensional space. We also derive an approximate expression for the median of the generalized χ distribution. In the second part of the results, we will focus on the practical case of k = 3, which represents the ideal gas in physics, and models quite well the reaction times of a human collective. Accurately, we will perform a more detailed scrutiny of the percentiles for the reaction time distribution of a sample of 50 school-aged children (7200 reaction times).

Finding k-Dominant Skyline for Combined Dataset

2014 ◽  
Vol 568-570 ◽  
pp. 1534-1538
Author(s):  
Lei Gang Dong ◽  
Xiao Wei Cui
Keyword(s):  
Dimensional Space ◽  
High Dimensional ◽  
Skyline Query ◽  
High Dimensional Space ◽  
Single Dataset ◽  
Theoretical Analyses

The k-dominant skyline query which can return small result set in high dimensional space is very convenient for user to make decision. But all the existent algorithms are for single dataset, not suitable for two or more datasets being combined. To solve this problem, this paper proposed a new idea to get the newk-dominant skyline by computing the partial points of each dataset based on their existentk-dominant skylines. Furthermore, detailed theoretical analyses and extensive experiments demonstrate that the algorithms can effectively reduce redundant work, and keep the result correctly.

Dilatation properties of regular local rings

1959 ◽  
Vol 55 (1) ◽  
pp. 1-9
Author(s):  
D. G. Northcott
Keyword(s):  
Dimensional Space ◽  
Geometric Theory ◽  
Commutative Rings ◽  
Ideal Theory ◽  
Local Rings ◽  
Abstract Form ◽  
One Dimensional ◽  
Regular Local Rings ◽  
Dimensional Projective Space ◽  
The Ideal

The results and methods of algebraic geometry, when analysed in terms of modern algebra, have revealed on several occasions algebraic principles of surprising generality. Recently it has become apparent that the geometric theory of infinitely near points has, as it were, an abstract form which forms part of the ideal theory of commutative rings, but there are many details which have yet to be worked out. Roughly speaking, one may say that what corresponds to the theory of the sequence of points on a curve branch is now known in some detail, and forms a substantial addition to our knowledge of the properties of one-dimensional local rings†; but the construction of an abstract theory similarly related to the theory of neighbourhoods in n-dimensional projective space can hardly be said to have been started. A number of necessary preliminary steps were taken by the author in (3)—in the process of providing algebraic foundations for certain applications of dilatation theory—and later some applications were made to 2-dimensional problems. However, the present paper should be regarded as an attempt to initiate a dilatation theory of regular local rings to run parallel to the general theory of infinitely near points in n-dimensional space.

scholarly journals Software Test Case Generation and it’s curtail using G-Genetic Algorithm

2019 ◽  
Vol 8 (2) ◽  
pp. 852-855
Keyword(s):  
Software Testing ◽  
Optimization Problem ◽  
Information Age ◽  
Software Test ◽  
Test Case ◽  
Test Cases ◽  
Show Business ◽  
Np Complete ◽  
The Mean ◽  
The Ideal

Project is a collection of similar activities that are going to be executed in certain order. Among the phases of project management testing show business crucial role. The intension of testing is not to prove the correctness; it is the process of verifying and validation. Software Testing is the most challenging job among all the peers of the industry. Exhaustive software Testing is never possible only Optimized software testing is possible. Hence Software Testing can be viewed as optimization problem as it fall under NP complete. Because of the extensive number of experiments that are required to perform adequate testing of the ideal programming application; the different strategies to decrease the test suite is required. One of the normal contemplated strategies is evacuating the repetitive experiments; the reason is insignificant number of experiments and greatest number of mistakes seclusion or revealing. In this exploration work consider is directed to address the usage and viability of G-hereditary calculation so as to decrease the quantity of experiments that don't included unmistakable incentive in the mean of test inclusion or where the experiments can't separate blunders. Hereditary calculation is used in this work to help in limiting the experiments or streamlining the experiments, where the hereditary calculation creates the primer populace arbitrarily, computes the wellness esteem utilizing inclusion measurements, and after that particular the posterity in back to back ages utilizing hereditary tasks choice, traverse and transformation. The hereditary displaying activities are explicit and dependent on the task may fluctuate to ordinary Genetic calculation. This procedure of age is rehashed until there is no adjustment in the wellness esteems for two successive ages, when there is no adjustment in the information age for two emphases so union accomplished or a minimized test case is achieved. The results of study demonstrate that, genetic algorithms can significantly reduce the size of the test cases

scholarly journals MapReduce Algorithm for Variants of Skyline Queries: Skyband and Dominating Queries

Algorithms ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 166
Author(s):  
Md. Anisuzzaman Siddique ◽  
Hao Tian ◽  
Mahboob Qaosar ◽  
Yasuhiko Morimoto
Keyword(s):  
Big Data ◽  
Knowledge Discovery ◽  
Distributed Environments ◽  
Skyline Query ◽  
Skyline Queries ◽  
Distributed Framework ◽  
Extensive Evaluation ◽  
Effectiveness And Efficiency ◽  
Synthetic Datasets ◽  
Better Than

The skyline query and its variant queries are useful functions in the early stages of a knowledge-discovery processes. The skyline query and its variant queries select a set of important objects, which are better than other common objects in the dataset. In order to handle big data, such knowledge-discovery queries must be computed in parallel distributed environments. In this paper, we consider an efficient parallel algorithm for the “K-skyband query” and the “top-k dominating query”, which are popular variants of skyline query. We propose a method for computing both queries simultaneously in a parallel distributed framework called MapReduce, which is a popular framework for processing “big data” problems. Our extensive evaluation results validate the effectiveness and efficiency of the proposed algorithm on both real and synthetic datasets.

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