scholarly journals Predicting future location in mobile cache based on variable order of prediction-by-partial-matching algorithm

2018 ◽  
Author(s):  
Lincan Li ◽  
Chiew-Foong Kwong ◽  
Fenghu Chen ◽  
Qianyu Liu ◽  
Jing Wang
Keyword(s):  
Variable Order ◽  
Matching Algorithm ◽  
Partial Matching ◽  
Prediction By Partial Matching ◽  
Mobile Cache

Heart arrhythmia classification using the prediction by partial matching algorithm

2015 ◽  
Vol 52 (4) ◽  
pp. 285 ◽  
Author(s):  
Igor Lucena Peixoto Andrezza ◽  
Erick Vagner Cabral De Lima Borges ◽  
Leonardo Vidal Batista
Keyword(s):  
Matching Algorithm ◽  
Partial Matching ◽  
Heart Arrhythmia ◽  
Prediction By Partial Matching

scholarly journals An Empirical Evaluation of Prediction by Partial Matching in Assembly Assistance Systems

2021 ◽  
Vol 11 (7) ◽  
pp. 3278
Author(s):  
Arpad Gellert ◽  
Stefan-Alexandru Precup ◽  
Bogdan-Constantin Pirvu ◽  
Ugo Fiore ◽  
Constantin-Bala Zamfirescu ◽  
...  
Keyword(s):  
Empirical Evaluation ◽  
Assistance System ◽  
Context Aware ◽  
Factory Workers ◽  
Matching Algorithm ◽  
Partial Matching ◽  
Industrial Iot ◽  
Assistance Systems ◽  
Prediction By Partial Matching ◽  
Assistive Systems

Industrial assistive systems result from a multidisciplinary effort that integrates IoT (and Industrial IoT), Cognetics, and Artificial Intelligence. This paper evaluates the Prediction by Partial Matching algorithm as a component of an assembly assistance system that supports factory workers, by providing choices for the next manufacturing step. The evaluation of the proposed method was performed on datasets collected within an experiment involving trainees and experienced workers. The goal is to find out which method best suits the datasets in order to be integrated afterwards into our context-aware assistance system. The obtained results show that the Prediction by Partial Matching method presents a significant improvement with respect to the existing Markov predictors.

Классификация научных текстов на основе компрессии аннотаций публикаций

2019 ◽  
pp. 25-38
Author(s):  
И.В. Селиванова ◽  
I.V. Selivanova ◽  
Д.В. Косяков ◽  
D.V. Kosyakov ◽  
А.Е. Гуськов ◽  
...  
Keyword(s):  
Partial Matching ◽  
Prediction By Partial Matching

Исследуется возможность установления смысловой близости научных текстов методом их автоматической классификации, основанным на сжатии аннотаций. Идея метода состоит в том, что алгоритмы компрессии типа PPM (prediction by partial matching) сжимают терминологически близкие тексты существенно лучше, чем далекие. Если для каждой классифицируемой тематики будет сформировано ядро публикаций (аналог обучающей выборки), то наилучшая доля сжатия будет указывать на принадлежность классифицируемого текста к соответствующей тематике. Было определено 30 тематических категорий, каждой из них в базе данных Scopus получены аннотации около 500 публикаций, из которых разными способами выбирались 100 аннотаций для ядра и 20 аннотаций для тестирования. Установлено, что построение ядра на основе высокоцитируемых публикаций выявляет до 12% ошибок против 32% при случайной выборке. На качество классификации влияет и изначальное количество категорий: чем меньше категорий участвует в классификации и чем больше терминологические различия между ними, тем выше её качество.

scholarly journals A Study on a Matching Algorithm for Urban Underground Pipelines

2019 ◽  
Vol 8 (8) ◽  
pp. 352
Author(s):  
Shuai Wang ◽  
Qingsheng Guo ◽  
Xinglin Xu ◽  
Yuwu Xie
Keyword(s):  
Blood Vessels ◽  
Underground Pipeline ◽  
Matching Algorithm ◽  
Partial Matching ◽  
Spatial Objects ◽  
Operation Efficiency ◽  
Geometric Similarity ◽  
Underground Pipelines ◽  
Pipeline Networks ◽  
Matching Performance

Urban underground pipelines are known as “urban blood vessels”. To detect changes in integrated pipelines and professional pipelines, the matching of same-name spatial objects is critical. Existing algorithms used for vector network matching were analyzed to develop an improved matching algorithm that can adapt to underground pipeline networks. Our algorithm improves the holistic matching of pipeline strokes, and also a partial matching algorithm is provided. In this study, appropriate geometric measures were selected to calculate the geometric similarity between pipeline strokes in their holistic matching. Existing methods for evaluating similarities in spatial scene structures in partial underground pipeline networks were improved. A method of partial matching of strokes was additionally investigated, and it compensates for the deficiencies of holistic stroke matching. Experiments showed that the matching performance was good, and the operation efficiency was high.

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