Construction of H5-Index for Conference Ranking Indicator and its Correlation to ERA

This paper develops the Scopus H5-Index rankings, using the field of computer science as a case study. The challenge begins with the inconsistency of conference names. The rule-based approach is invented to automatically clean up duplicate conferences and assign unique pseudo ID for each conference. This data cleansing process is applied on conference names retrieved from both Scopus and ERA/CORE, in order to share common pseudo IDs for the sake of correlation analysis. The proposed data cleansing process is validated using ERA 2010 and CORE 2018 as references and reports the very small errors of 0.6% and 0.4%, respectively. Then, the Scopus H5-Index 2006–2010 and Scopus H5-Index 2014–2018 rankings are constructed and compared with the existing ERA 2010 and CORE 2018 rankings, respectively. The results show that the correlation within the Scopus H5-Index rankings (i.e. Scopus H5-Index 2006–2010 and Scopus H5-Index 2014–2018) is at the top of the moderate correlation band, where the correlation within the ERA/CORE rankings (ERA 2010 and CORE 2018) is at the top of the strong correlation band. While the correlations across ranking systems (i.e. Scopus H5-Index 2006–2010 vs. ERA 2010, and Scopus H5-Index 2014–2018 vs. CORE 2018) are at the bottom and middle of the moderate correlation band. It can be said that the quality assessment using the Scopus H5-Index ranking is more dynamic and quickly up-to-date when compared with the ERA/CORE ranking. Also, these two ranking systems are moderately correlated with each other for both periods of 2010 and 2018.

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Twitter Sentiment Analysis Using Lexical or Rule Based Approach: A Case Study

2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) ◽

10.1109/icrito48877.2020.9197910 ◽

2020 ◽

Author(s):

Sheresh Zahoor ◽

Rajesh Rohilla

Keyword(s):

Sentiment Analysis ◽

Rule Based ◽

Rule Based Approach

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Permeability prediction in shaly formations: The fuzzy modeling approach

Geophysics ◽

10.1190/1.1484526 ◽

2002 ◽

Vol 67 (3) ◽

pp. 817-829 ◽

Cited By ~ 6

Author(s):

Jose Finol ◽

Xu‐Dong D. Jing

Keyword(s):

Clustering Algorithm ◽

Fuzzy Inference ◽

Fuzzy Rule ◽

Learning Task ◽

Well Log ◽

Rule Based ◽

Maracaibo Basin ◽

Core Permeability ◽

Rule Based Approach

This paper shows how fuzzy rule‐based systems help predict permeability in sedimentary rocks using well‐log responses. The fuzzy rule‐based approach represents a global nonlinear relationship between permeability and a set of input log responses as a smooth concatenation of a finite family of flexible local submodels. The fuzzy inference rules expressing the local input‐output relationships are obtained automatically from a set of observed measurements using a fuzzy clustering algorithm. This approach simplifies the process of constructing fuzzy systems without much computation effort. The benefits of the methodology are demonstrated with a case study in the Lake Maracaibo basin, Venezuela. Special core analyses from three early development wells provide the data for the learning task. Core permeability and well‐log data from a fourth well provide the basis for model validation. Numerical simulation results show that the fuzzy system is an improvement over conventional empirical methods in terms of predictive capability.

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Towards A Fuzzy Rule-Based Approach for Patient Flow Management in Emergency Department During the COVID-19: Sahloul Hospital Case Study, Tunisia

10.1109/iceet53442.2021.9659696 ◽

2021 ◽

Author(s):

Imen Hamzaoui ◽

Aida Bouzir ◽

Saloua Benammou

Keyword(s):

Emergency Department ◽

Patient Flow ◽

Fuzzy Rule ◽

Flow Management ◽

Rule Based ◽

Hospital Case ◽

Patient Flow Management ◽

Rule Based Approach

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Application of the Modified HAZOP to an Advisory System Using Rule–Based Approach for Packed Column

Jurnal Teknologi ◽

10.11113/jt.v40.419 ◽

2012 ◽

Author(s):

M. Y. Mohd. Yunus ◽

M. W. Ali

Keyword(s):

Process Simulation ◽

Packed Column ◽

Chemical Plant ◽

Hazard Identification ◽

Rule Based ◽

Advisory System ◽

Knowledge Based ◽

Identification Technique ◽

Rule Based Approach

An advisory system using a rule–based approach has been developed in which the knowledge required to perform hazard identification is divided into process–specific and process–general components. Hazard identification has been carried out using the modified Hazard and Operability Study (HAZOP) method. In the proposed modified HAZOP, the two study nodes are connected in one mode of analysis. The process–specific knowledge, which consists of a conventional HAZOP study result, has been stored in the database. This process–general knowledge consists of rule–based which has been developed from the result of process simulation. The combination of hazard identification technique with process simulation result is important, in order to analyse the causes and consequences of the deviation in the process. For hazard identification, the process deviations selected are flow rate, temperature, and pressure. An inference engine for this advisory system has been developed using Visual Basic programming language, for appropriate interaction between knowledge–based components, in order to identify process–specific of causes and consequences for each process deviation specified. The procedure is based on the proposal HAZOP algorithm modified from a conventional HAZOP. The case study used is a packed column of an oleo chemical plant. The study has contributed to an improvement of hazard identification technique, which proposed a modified HAZOP algorithm by considering the consequences of the operation for each process deviation. The modified HAZOP algorithm has been proposed in a generic manner, however, the advisory system developed in this study is limited to the application for packed column of oleo chemical plant only. Key words: Hazard identification, advisory system, ruled based, process simulation, packed column

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Korelasi Komunikasi Interpersonal Efektif & Kualitas Layanan Tim Medis terhadap Kepuasan Pasien

Jurnal Komunikasi Islam ◽

10.15642/jki.2018.1.1.129-154 ◽

2018 ◽

Vol 1 (1) ◽

pp. 129

Author(s):

Ilona Vicenovie Oisina ◽

Ivonne Ruth Vitamaya Osidhi

Keyword(s):

Patient Satisfaction ◽

Correlation Analysis ◽

Service Quality ◽

Strong Correlation ◽

Medical Staff ◽

Strong Influence ◽

Moderate Correlation

Effective medical staff-patient interpersonal communication is a central clinical function. This study was a survey of 96 patients at Claudia Bagan Batu Hospital, Riau attempting to contribute the role of interpersonal communication and a hospital's service quality towards patient satisfaction. By utilizing correlation analysis between variables and regression to each variable, this study has found a strong correlation between variable of interpersonal communication and variable patient satisfaction (0.805) and the moderate correlation between the variable of service quality and patient satisfaction (0.639). In short, it has revealed that there has been a strong influence between interpersonal communication and service quality at Claudia Bagan Batu Hospital on patient satisfaction (87.8%).

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Effect of Gender on Mechanical Properties of the Plantar Fascia and Heel Fat Pad

Foot & Ankle Specialist ◽

10.1177/1938640017735891 ◽

2017 ◽

Vol 11 (5) ◽

pp. 403-409 ◽

Cited By ~ 6

Author(s):

Serkan Taş

Keyword(s):

Mechanical Properties ◽

Correlation Analysis ◽

Comparative Study ◽

Body Mass ◽

Shear Wave Velocity ◽

Strong Correlation ◽

Plantar Fascia ◽

Moderate Correlation ◽

Fat Pad ◽

Retrospective Comparative Study

Background. The purpose of the study was to investigate the plantar fascia and heel fat pad stiffness and thickness parameters in females and compare these values with those of males. Methods. This study was carried out in 60 healthy sedentary participants (30 female, 30 male) between the ages of 19 and 50 years. Shear wave velocity (SWV) and thickness of the plantar fascia and heel fat pad were measured with an ultrasonography device. Results. Males had a higher plantar fascia ( P = .037) and heel fat pad ( P = .001) thickness compared with females, but SWV of the plantar fascia ( P = .673), heel fat pad microchamber layer ( P = .240), and heel fat pad macrochamber layer ( P = .636) were similar in both groups. Body mass had a strong correlation with the plantar fascia ( r = 0.64, P < .001) and heel fat pad thickness ( r = 0.68, P < .001). Height had a moderate correlation with the plantar fascia ( r = 0.44, P < .001) and heel fat pad thickness ( r = 0.42, P = .001). Conclusion. Plantar fascia and heel fat pad stiffness were similar in both genders; however, females had a lower plantar fascia and heel fat pad thickness compared with males. Correlation analysis results suggest that higher plantar fascia and heel fat pad thickness in males may be related to higher body mass and height. Levels of Evidence: Level III: Retrospective comparative study

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Process Variability Analysis in Interconnect, Logic, and Arithmetic Blocks of 16-nm FinFET FPGAs

ACM Transactions on Reconfigurable Technology and Systems ◽

10.1145/3458843 ◽

2021 ◽

Vol 14 (3) ◽

pp. 1-30

Author(s):

Endri Taka ◽

Konstantinos Maragos ◽

George Lentaris ◽

Dimitrios Soudris

Keyword(s):

Correlation Analysis ◽

Strong Correlation ◽

Operating Conditions ◽

Experimental Results ◽

Moderate Correlation ◽

Process Variability ◽

Variability Analysis ◽

And Performance ◽

The Impact ◽

Actual Test

In the current work, we study the process variability of logic, interconnect, and arithmetic/DSP resources in commercial 16-nm FPGAs. We create multiple, soft-macro sensors for each distinct resource under evaluation, and we deploy them across the FPGA fabric to measure intra-die variation, as well as across multiple FPGAs to measure inter-die variation. The derived results are used to create device-signature variability maps characterizing the distribution of variability across the die. Our study includes decoupling of variability to systematic and stochastic parts, exploration of variability under various voltage and temperature conditions and correlation analysis between the variability maps of the different resources. Furthermore, we scrutinize the impact of variability on the performance of actual test circuits and correlate the retrieved results with the sensor-based maps. Our experimental results on four Zynq XCZU7EV FPGAs showed significant intra- and inter-die variability, up to 7.8% and 8.9%, respectively, with a small increase under certain operating conditions. The correlation analysis demonstrated a strong correlation between the logic and arithmetic resources, whereas the interconnects showed a slightly weaker correlation in specific devices. Finally, a relatively moderate correlation was calculated between the variability maps and performance of test circuits due their dissimilar operating behavior versus our sensors.

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