Pearson Correlation Coefficient Acceleration for Modeling and Mapping of Neural Interconnections

Reggiani, Enrico; D'Arnese, Eleonora; Purgato, Andrea; Santambrogio, Marco D.

doi:10.1109/ipdpsw.2017.63

Cited by 8 publications

(4 citation statements)

References 16 publications

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“…Nilai -1 menunjukkan korelasi negatif maksimum, sedangkan nilai +1 menunjukkan korelasi positif maksimum yang terjadi pada variabel suatu kasus tertentu. [7]. Berikut merupakan perhitungan korelasi pearson yang digunakan untuk menentukan hubungan pada suatu variabel: Gambar 2.…”

Section: Pearson Correlationunclassified

Pemanfaatan SIG dalam Menganalisis Keterkaitan Wilayah Kebakaran dengan Hidrant, Rumah Sakit dan Pos Pemadam Kebakaran yang terdapat di Wilayah Jakarta

R. Gabriel

2022

JKST

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Salah satu hal yang sulit untuk diprediksi adalah prediksi akan datangnya suatu bencana. Jakarta sendiri memiliki kasus bencana yang tidak sedikit setiap tahunnya. Pada penelitian ini membahas mengenai keterkaitan letak pos pemadam kebakaran, sumber air yang tersedia (hydrant dan sungai), dan rumah sakit terhadap bencana kebakaran yang terjadi di Jakarta dengan melakukan pemetaan dan perhitungan interpolasi yang terjadi berdasarkan event (kebakaran) yang terjadi selama 2017 dengan variabel (pos pemadam, hydrant, sungai, dan rumah sakit). Metode quadrat analysis berupa grid(quadrat) yang digunakan untuk menentukan persebaran data yang dimiliki suatu dataset. Metode ini digunakan untuk mengetahui apakah dataset tersebut bersifat data kelompok (cluster), data tersebar (scattered) atau data acak (random). Hasil penelitian dapat terlihat korelasi pearson didapatkan bahwa hubungan antara event kebakaran dengan variabel rumah sakit, event kebakaran dengan variabel hydrant, dan event kebakaran dengan variabel pos pemadam kebakaran sangat kecil. Lokasi adanya rumah sakit, hydrant, dan pos pemadam yang ada di DKI Jakarta tidak berkaitan dengan lokasi kejadian kebakaran yang ada.

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Section: Pearson Correlationunclassified

Pemanfaatan SIG dalam Menganalisis Keterkaitan Wilayah Kebakaran dengan Hidrant, Rumah Sakit dan Pos Pemadam Kebakaran yang terdapat di Wilayah Jakarta

R. Gabriel

2022

JKST

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“…The original correlation coefficient and the "standardized" correlation coefficient were compared and analysed to show the consistency and complementarity of the two types of the correlation coefficient. Based on the Pearson correlation coefficient analysis, the matrix heat map was drawn to describe the strength of the relationship between courses [10] [19].…”

Section: Pearson Correlation Coefficient Analysismentioning

confidence: 99%

Network Modelling and Visualisation Analysis of the Undergraduate Dental Curriculum System in China

Ren¹,

Xiao²,

Liu³

et al. 2021

JCC

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Objectives: This study aims to present the characteristics of the undergraduate dental curriculum system using network modelling and visualisation analysis based on complex network theory, thus providing a theoretical foundation for the course development and curriculum reform. Methods: The correlation coefficient was used to quantify the intensity of the correlation between courses, and a visualisation complex network of the dental curriculum was built to explore the curriculum pattern from a dynamic perspective. Further, the statistical measurements of curriculum network were adopted to express the most relevant topological features. Subsequently, the minimum spanning tree and parallel coordinates plot were drawn to explore the curriculum community structure, quantify the key courses, and present different courses in time and space relationships. Results: The correlation analysis results show that the courses are closely related to each other. The main courses focus on pathology, pathophysiology, oral anatomy and physiology, closely connecting almost all medicine-related courses. The whole course network has an average degree value of 41.53, and a clustering coefficient of 0.78, indicating an obvious small-world characteristic. From the perspective of curriculum attributes, the number of public and theoretical courses was more than that of skills and practical courses. Moreover, the academic performance of skills and practical courses was lower than that of public and theoretical courses. Conclusion: The undergraduate dental courses have a progressive structure from basic professional knowledge to professional skills, which is reasonable for the dental education in China. However, some efforts towards curriculum reform based on this study are needed.

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“…Finally other FPGAs applications in this list includes Hardware-In-the-Loop (HIL) [34,1115,[1276][1277][1278][1279][1280][1281][1282], GPS (Global Positioning System) [1283][1284][1285][1286][1287][1288][1289][1290][1291][1292][1293][1294][1295][1296][1297][1298], Positron Emission Tomography (PET) , bioinformatics [1325][1326][1327][1328][1329][1330][1331][1332][1333][1334][1335][1336][1337][1338][1339][1340][1341][1342], fuzzy logic [1343][1344][1345][1346][1347]…”

Section: Other Applicationsmentioning

confidence: 99%

Field Programmable Gate Array Applications—A Scientometric Review

2019

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Field Programmable Gate Array (FPGA) is a general purpose programmable logic device that can be configured by a customer after manufacturing to perform from a simple logic gate operations to complex systems on chip or even artificial intelligence systems. Scientific publications related to FPGA started in 1992 and, up to now, we found more than 70,000 documents in the two leading scientific databases (Scopus and Clarivative Web of Science). These publications show the vast range of applications based on FPGAs, from the new mechanism that enables the magnetic suspension system for the kilogram redefinition, to the Mars rovers’ navigation systems. This paper reviews the top FPGAs’ applications by a scientometric analysis in ScientoPy, covering publications related to FPGAs from 1992 to 2018. Here we found the top 150 applications that we divided into the following categories: digital control, communication interfaces, networking, computer security, cryptography techniques, machine learning, digital signal processing, image and video processing, big data, computer algorithms and other applications. Also, we present an evolution and trend analysis of the related applications.

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Pearson Correlation Coefficient Acceleration for Modeling and Mapping of Neural Interconnections

Cited by 8 publications

References 16 publications

Pemanfaatan SIG dalam Menganalisis Keterkaitan Wilayah Kebakaran dengan Hidrant, Rumah Sakit dan Pos Pemadam Kebakaran yang terdapat di Wilayah Jakarta

Pemanfaatan SIG dalam Menganalisis Keterkaitan Wilayah Kebakaran dengan Hidrant, Rumah Sakit dan Pos Pemadam Kebakaran yang terdapat di Wilayah Jakarta

Network Modelling and Visualisation Analysis of the Undergraduate Dental Curriculum System in China

Field Programmable Gate Array Applications—A Scientometric Review

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