EXSENSEL - a rule-based approach to selection of sensors for process variables

1996 ◽  
Vol 19 (5) ◽  
pp. 443-447 ◽  
Author(s):  
Alok Barua ◽  
Sumit Sengupta
Keyword(s):  
Process Variables ◽  
Rule Based ◽  
Rule Based Approach ◽  
Selection Of

scholarly journals Evaluation, ranking and selection of R&D projects by multiple experts: an evidential reasoning rule based approach

2017 ◽  
Vol 111 (3) ◽  
pp. 1501-1519 ◽  
Author(s):  
Fang Liu ◽  
Wei-dong Zhu ◽  
Yu-wang Chen ◽  
Dong-ling Xu ◽  
Jian-bo Yang
Keyword(s):  
Ranking And Selection ◽  
Evidential Reasoning ◽  
Rule Based ◽  
Rule Based Approach ◽  
Multiple Experts ◽  
Selection Of

A controlled language-based evaluation approach to ensure image accessibility during web localisation

2015 ◽  
Vol 4 (2) ◽  
pp. 187-215 ◽  
Author(s):  
Silvia Rodríguez Vázquez
Keyword(s):  
State Of The Art ◽  
Population Group ◽  
Rule Based ◽  
Evaluation Approach ◽  
Web Access ◽  
Image Accessibility ◽  
Rule Based Approach ◽  
The Web ◽  
Selection Of ◽  
Controlled Language

In spite of recent improvements in non-visual web access, images on the web still present an accessibility barrier to screen reader users. For this population group the presence of inappropriate text alternatives for images, or simply their absence, usually results in a poor web user experience. In this paper, we propose a controlled language (CL) rule-based approach that enables translation professionals to ensure image accessibility during the web localisation process. We describe the set of 40 CL rules we developed and then present the results of the evaluation of a selection of ten rules from the set. During the study, which sought to assess their impact on the appropriateness of text alternatives in French, the ten rules were applied using Acrolinx, a state-of-the-art CL checker. The results of the evaluation suggest that this sub-set of ten rules can help translators significantly improve the level of image accessibility obtained in the localised web product.

A Brief Survey on Text Classification Using Various Machine Learning Techniques

2018 ◽  
Vol 8 (1) ◽  
pp. 14
Author(s):  
Padmavathi .S ◽  
M. Chidambaram
Keyword(s):  
Machine Learning ◽  
Text Classification ◽  
Fixed Number ◽  
Machine Learning Techniques ◽  
Online Information ◽  
Rule Based ◽  
Learning Techniques ◽  
Machine Learning Approach ◽  
Rule Based Approach

Text classification has grown into more significant in managing and organizing the text data due to tremendous growth of online information. It does classification of documents in to fixed number of predefined categories. Rule based approach and Machine learning approach are the two ways of text classification. In rule based approach, classification of documents is done based on manually defined rules. In Machine learning based approach, classification rules or classifier are defined automatically using example documents. It has higher recall and quick process. This paper shows an investigation on text classification utilizing different machine learning techniques.

MRI Brain Tumor Image Analysis Using Fuzzy Rule based Approach

2019 ◽  
Vol 50 (2) ◽  
pp. 98-112 ◽  
Author(s):  
KALYAN KUMAR JENA ◽  
SASMITA MISHRA ◽  
SAROJANANDA MISHRA ◽  
SOURAV KUMAR BHOI ◽  
SOUMYA RANJAN NAYAK
Keyword(s):  
Image Analysis ◽  
Brain Tumor ◽  
Fuzzy Rule ◽  
Rule Based ◽  
Mri Brain ◽  
Rule Based Approach

Rule-based Approach to Semantic Resolution of Chinese Addresses

2010 ◽  
Vol 12 (1) ◽  
pp. 9-16 ◽  
Author(s):  
Xueying ZHNAG ◽  
Guonian LV ◽  
Boqiu LI ◽  
Wenjun CHEN
Keyword(s):  
Rule Based ◽  
Semantic Resolution ◽  
Rule Based Approach

An Automatic Question Generation System using Rule-Based Approach in Bloom’s Taxonomy

2019 ◽  
Vol 13 ◽  
Author(s):  
G Deena ◽  
K Raja ◽  
K Kannan
Keyword(s):  
Language Processing ◽  
Learning Process ◽  
Question Generation ◽  
Test Question ◽  
Rule Based ◽  
Part Of Speech ◽  
Core Idea ◽  
Rule Based Approach ◽  
Teaching Learning ◽  
Automatic Question Generation

: In this competing world, education has become part of everyday life. The process of imparting the knowledge to the learner through education is the core idea in the Teaching-Learning Process (TLP). An assessment is one way to identify the learner’s weak spot of the area under discussion. An assessment question has higher preferences in judging the learner's skill. In manual preparation, the questions are not assured in excellence and fairness to assess the learner’s cognitive skill. Question generation is the most important part of the teaching-learning process. It is clearly understood that generating the test question is the toughest part. Methods: Proposed an Automatic Question Generation (AQG) system which automatically generates the assessment questions dynamically from the input file. Objective: The Proposed system is to generate the test questions that are mapped with blooms taxonomy to determine the learner’s cognitive level. The cloze type questions are generated using the tag part-of-speech and random function. Rule-based approaches and Natural Language Processing (NLP) techniques are implemented to generate the procedural question of the lowest blooms cognitive levels. Analysis: The outputs are dynamic in nature to create a different set of questions at each execution. Here, input paragraph is selected from computer science domain and their output efficiency are measured using the precision and recall.

Rule‐Based Approach for Botnet Behavior Analysis

2021 ◽  
pp. 161-179
Author(s):  
Supriya Raheja ◽  
Geetika Munjal ◽  
Jyoti Jangra ◽  
Rakesh Garg
Keyword(s):  
Behavior Analysis ◽  
Rule Based ◽  
Rule Based Approach
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