Enhancing a Keyword Search Using Segmentation and Similarity Measure Algorithms: A Case Study of Phuket Attractions

2019 ◽  
Author(s):  
Kitsiri Chochiang ◽  
Witaya Khuanwilai
Keyword(s):  
Similarity Measure ◽  
Keyword Search

Similarity Measure Optimization for Target Detection

2019 ◽  
pp. 347-374
Author(s):  
Batuhan Gundogdu ◽  
Murat Saraclar
Keyword(s):  
Speech Recognition ◽  
Similarity Measure ◽  
Keyword Search ◽  
Digital Data ◽  
Retrieval Task ◽  
Text Data ◽  
Speech Retrieval ◽  
Recognition Systems ◽  
Search And Retrieval

Today, in the era of data and computing, fast and reliable retrieval of information has become of great importance for security and military applications, and continues to be such, as the amount available digital data increases every second. While the search and retrieval of text data has produced mature products and are today being used in search engines everyday by everyone, the retrieval of spoken content still remains a young research, especially for low resource languages where the available data is scarce to train reliable speech recognition systems. This chapter provides a thorough introduction of a speech retrieval task called “keyword search” and presents a novel similarity measure optimization-based approach. The case study was experimented on telephone conversations in three different languages and thousands of keywords randomly selected from each language were searched in the document. The experiments show that the technique introduced in this chapter offers a new methodology to handle the terms that does not even exist in the vocabulary of the speech recognition systems.

Supporting Biomimetic Design Through Categorization of Natural-Language Keyword-Search Results

2009 ◽  
Author(s):  
Ji Ke ◽  
J. S. Wallace ◽  
L. H. Shu
Keyword(s):  
Fuel Cell ◽  
Natural Language ◽  
Keyword Search ◽  
Bipolar Plate ◽  
Biological Information ◽  
Good Source ◽  
Search Results ◽  
Biological Phenomena ◽  
Keyword Searches

Biology is a good source of analogies for engineering design. One approach of retrieving biological analogies is to perform keyword searches on natural-language sources such as books, journals, etc. A challenge of retrieving information from natural-language sources is the potential requirement to process a large number of search results. This paper describes a categorization method that organizes a large group of diverse biological information into meaningful categories. The benefits of the categorization functionality are demonstrated through a case study on the redesign of a fuel cell bipolar plate. In this case study, our categorization method reduced the effort to systematically identify biological phenomena by up to ∼80%.

Quantitative Measures for Design by Analogy

2000 ◽  
Author(s):  
Daniel A. McAdams ◽  
Kristin L. Wood
Keyword(s):  
Similarity Measure ◽  
Quantitative Measure ◽  
Layout Design ◽  
Functional Similarity ◽  
Original Design ◽  
Design By Analogy

Abstract In this paper a quantitative measure for design-by-analogy is developed. This measure is based on the functional similarity of products. By using this product similarity measure, designers are able to formalize and quantify design-by-analogy techniques during concept and layout design. The similarity measure and its application is clarified and validated through a case study. The case study is the original design of a pickup winder.

Improved subspace-based and angle-based outlier detections for fuzzy datasets with a real case study

2021 ◽  
pp. 1-11
Author(s):  
Alireza Fakharzadeh Jahromi ◽  
Mehdi Hajiloei ◽  
Yeganeh Dehghani ◽  
Sara Lahoninezhad
Keyword(s):  
Similarity Measure ◽  
Cosine Similarity ◽  
High Dimensional ◽  
New Methods ◽  
Fuzzy Environment ◽  
Axis Parallel ◽  
Fuzzy Objects ◽  
Cosine Similarity Measure ◽  
Numerical Examination

To overcome curse of dimensionality for outlier detecting in high dimensional dataset, axis-parallel subspace (SOD) and angle-based outlier detection (ABOD) methods were presented. These methods are also friendly used distance-based to detect outliers. In this regard, based on the reality of fuzzy data for explaining the world phenomena, this paper introduces an extended version of both methods for fuzzy dataset. First, the basic concepts of both methods are explained. Next we provide two metrics based on Euclidean and analytic distance to measure distance between fuzzy objects; also Cosine similarity measure formula for calculating the cosine of angle between two difference vectors in high-dimensional fuzzy dataset is illustrated. Then the algorithms to determine outliers of fuzzy datasets by using these metrics and Cosine similarity measure, based on ABOD and SOD algorithms, are presented. Some numerical experimental examples are also presented, in which both real and synthesis datasets are used, For a real numerical examination, we have applied proposed algorithms to data from 15 Iranian petrochemical companies in a fully fuzzy environment. The obtained results show the significant properties of the new methods in detecting outliers.

scholarly journals Improving Bibliographic Coupling with Category-Based Cocitation

2019 ◽  
Vol 9 (23) ◽  
pp. 5176
Author(s):  
Liu ◽  
Hsu
Keyword(s):  
Search Engine ◽  
Similarity Measure ◽  
Scientific Literature ◽  
State Of The Art ◽  
Bibliographic Coupling ◽  
Research Issues ◽  
Better Than

Bibliographic coupling (BC) is a similarity measure for scientific articles. It works based on an expectation that two articles that cite a similar set of references may focus on related (or even the same) research issues. For analysis and mapping of scientific literature, BC is an essential measure, and it can also be integrated with different kinds of measures. Further improvement of BC is thus of both practical and technical significance. In this paper, we propose a novel measure that improves BC by tackling its main weakness: two related articles may still cite different references. Category-based cocitation (category-based CC) is proposed to estimate how these different references are related to each other, based on the assumption that two different references may be related if they are cited by articles in the same categories about specific topics. The proposed measure is thus named BCCCC (Bibliographic Coupling with Category-based Cocitation). Performance of BCCCC is evaluated by experimentation and case study. The results show that BCCCC performs significantly better than state-of-the-art variants of BC in identifying highly related articles, which report conclusive results on the same specific topics. An experiment also shows that BCCCC provides helpful information to further improve a biomedical search engine. BCCCC is thus an enhanced version of BC, which is a fundamental measure for retrieval and analysis of scientific literature.

Design and Application of the Similarity Measure Simulation Applied in Project Portfolio Allocating

2015 ◽  
Vol 740 ◽  
pp. 952-956
Author(s):  
Li Biao Bai ◽  
Si Jun Bai ◽  
Yun Tao Guo
Keyword(s):  
Similarity Measure ◽  
Systems Engineering ◽  
Analytical Methods ◽  
Order Parameter ◽  
Portfolio Allocation ◽  
Project Portfolio ◽  
Large State ◽  
Engineering Theory ◽  
Proposed Model

Starting with synergetics and systems engineering theory, this paper proposes a model for measuring the similarity among allocated modules of Project Portfolio Allocation at the level of project. Utilizing concepts like order parameter of fit, good-of-fit for Project Portfolio Allocation (PPA) and similarity among allocated modules, this paper uses the value of similarity among allocated modules of PPA to reflect the similarity among allocated module which provides a useful analytical methods for project portfolio allocation management in large state-owned firms. Finally, the effectiveness and feasibility of the proposed model is demonstrated and validated by a case study.

Aircraft detection: a case study in using human similarity measure

2001 ◽  
Vol 23 (12) ◽  
pp. 1404-1414 ◽  
Author(s):  
B. Kamgar-Parsi ◽  
A.K. Jain ◽  
J.E. Dayhoff
Keyword(s):  
Similarity Measure ◽  
Aircraft Detection
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