On the importance of similarity characteristics of curve clustering and its applications

Cheam, Amay S.M.; Frédette, Marc

doi:10.1016/j.patrec.2020.04.024

Cited by 18 publications

(4 citation statements)

References 32 publications

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“…Similarity measure: the basic concept of cluster analysis (considering the similarity between individuals and data objects, it classifies individuals and data objects that meet the similarity criteria into sets. It reclassifies individuals or data objects that do not meet the similarity criteria into different groups) can be obtained that the main feature of the measurement cluster is "similarity" [20]. e similarity within the class is the highest, and the similarity between the classes is the lowest.…”

Section: Cluster Algorithmmentioning

confidence: 99%

Teaching Practice of Engineering Management Course for Engineering Education Certification under Background of Artificial Intelligence

Wang

Han

Zhao

et al. 2022

International Transactions on Electrical Energy Systems

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With the advancement of China’s industrial construction, the field of engineering management has also attracted more attention. However, China’s engineering management major is currently in a growing stage due to the issue of the opening years, and the teaching and practice setting of each course is also in an immature stage, which makes China’s engineering management majors present more and more problems. The truancy rate has been increasing year by year, the students’ dominant position in the class has become objectified, and their trust in teachers has decreased. Students’ learning shows the characteristics of individualization and diversity. Higher requirements are put forward for teachers’ teaching quality, and schools lack an effective supervision mechanism. In order to solve these problems better, it is imperative to reform and innovate the course teaching of engineering management majors. The core of engineering education accreditation is to confirm that engineering graduates meet established quality standards recognized by the industry. It is a unique method to test whether the course teaching of engineering management majors is qualified and attracts many scholars to discuss it. Engineering education accreditation has attracted many scholars to discuss it because it is a unique means to test the qualifications of engineering management students’ course teaching. This study was based on an in-depth exploration of the teaching practice of engineering management courses and combines artificial intelligence with an engineering education certification. Through the research and analysis of colleges and universities, the research finally showed that the engineering management professional course teaching of engineering education certification under the background of artificial intelligence can promote the attendance of students in school by about 20%. The achievement of course teaching objectives has increased by about 13% and the comprehensive ability level of graduates has increased by about 8%. It improved the overall level of students and the teaching quality and efficiency of engineering management courses and also promoted the development of college education so that today’s engineering management graduates can better meet the needs of today’s society.

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Section: Cluster Algorithmmentioning

confidence: 99%

Teaching Practice of Engineering Management Course for Engineering Education Certification under Background of Artificial Intelligence

Wang

Han

Zhao

et al. 2022

International Transactions on Electrical Energy Systems

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“…In this work, a raw-data clustering approach [130] is used, which exploits the observational points of the curve and does not use dimensional-reduction techniques. The proposed method makes use of the RMS of the internal frequency variation differences between generators (determined with a frequency divider-based estimator) to carry out the clustering.…”

Section: Generator Clusteringmentioning

confidence: 99%

Inertia Estimation of a Power System Area Based on Iterative Equation Error System Identification

Gotti,

Bizzarri,

Brambilla

et al. 2024

IEEE Trans. Power Syst.

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por el privilegio de cursar mis estudios doctorales con una financiación, a pesar de la incertidumbre de los últimos tiempos. En este sentido, quiero expresar un agradecimiento particular al profesor Santiago Arnaltes por estar involucrado en el proceso de búsqueda de la beca.Quisiera también expresar mi gratitud a mis directores de tesis por haberme permitido ingresar al programa y darme la oportunidad de realizar esta experiencia enriquecedora. Los consejos recibidos en estos años sobre la redacción y la estructura de los artículos han sido muy valiosos.Considero necesario reconocer a los profesores Juan Carlos Burgos y Mónica Chinchilla el interés, la ayuda y los consejos recibidos durante la preparación de las prácticas de sus asignaturas.Un ringraziamento doveroso va al gruppo del Politecnico di Milano che mi ha ospitato durante i 3 mesi del periodo di ricerca all'"estero". In particolare, vorrei esprimere la mia gratitudine a Federico Bizzarri e ad Angelo Brambilla per i preziosi consigli elargiti durante le riunioni e le videochiamate; grazie per mostrarmi dove fissare l'asticella. Sulla falsariga di una frase che scrissi circa nove anni fa in una circostanza simile a questa, ritengo di dover ringraziare anche il mio paese, l'Italia, che, seppur non priva di difetti, mi ha dato l'opportunità di ricevere una formazione di primo livello. Indipendentemente da quello che il futuro ha in serbo per me, le sarò sempre grato.Finalmente, quiero dar las gracias a Lourdes, por su apoyo incondicional, por ayudarme a tomar conciencia de mí mismo, por poner la vida en perspectiva y, simplemente, por ser ella.

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“…Several techniques have been proposed to cluster curve shapes based on similarity measures. Recently, in statistics and data mining, sophisticated curve clustering and curve registration algorithms have been actively studied and have been applied to problems in medicine, business, socioeconomics, and engineering [1,[6][7]21]. According to Jacques et al [16], clustering approaches fall within four classes: raw-data clustering, filtering methods, adaptive methods, and distance-based methods.…”

Section: Curve Shape Clusteringmentioning

confidence: 99%

Preliminary Shape Similarity Analysis and Standardization for Pre-Bent Rod Design for Adult Spinal Deformity Correction

Soutome¹,

Kanai²,

Date³

et al. 2023

CADandA

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Spinal deformity is a disease that causes a three-dimensional deformation of the spinal column. When it worsens, surgery is required to screw correction rods to the spinal column. However, the surgery requires intraoperative rod bending work, which burdens the patients and causes unexpected rod breakage inside the body. Therefore, "pre-bent" rods comprising several rods with standardized shapes have been proposed to solve these problems. When designing pre-bent rods, knowing the number of rods to be prepared and the kinds of shapes required is essential. In this paper, we propose a geometric processing technique to identify an optimal set of these standardized pre-bent rod shapes for surgeries on adult spinal deformity and describe the similarity evaluation among existing rod shapes using CT scan, medial axis extraction, and iterative closest point algorithm. Moreover, we present the derivation of standardized rod shapes using hierarchical cluster analysis and the best fit of the B-spline curve to each cluster. Finally, we discuss the effectiveness of prebent rod shapes derived from CT scans of 26 existing rods of 13 patients.

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On the importance of similarity characteristics of curve clustering and its applications

Cited by 18 publications

References 32 publications

Teaching Practice of Engineering Management Course for Engineering Education Certification under Background of Artificial Intelligence

Teaching Practice of Engineering Management Course for Engineering Education Certification under Background of Artificial Intelligence

Inertia Estimation of a Power System Area Based on Iterative Equation Error System Identification

Preliminary Shape Similarity Analysis and Standardization for Pre-Bent Rod Design for Adult Spinal Deformity Correction

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