133 hasil untuk "Jay Lee"
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Artikel Jurnal Teks lengkap
An Auto-Associative Residual Processing and K-means Clustering Approach for Anemometer Health Assessment
This paper presents a health assessment methodology, as well as specific residual processing and figure of merit algorithms for anemometers in two different configurations. The methodology and algorithms are applied to data sets provided by the Prognostics and Health Management Society 2011 Data…
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Information Reconstruction Method for Improved Clustering and Diagnosis of Generic Gearbox Signals
Gearbox is a very complex mechanical system that can generate vibrations from its various elements such as gears, shafts, and bearings. Transmission path effect, signal coupling, and noise contamination can further induce difficulties to the development of a prognostics and health management (PHM)…
Dari koleksi institusi
- Statistical analysis of geographic information with ArcView GIS and ArcGISWong, David W.S.; Jay Lee · 2005 · Universitas Riau (UNRI)
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Artikel Jurnal Teks lengkap
Is there really a proportional relationship between VO2max and body weight? A review article.
Maximum oxygen uptake (VO2max) is a "gold standard" in aerobic capacity assessment, playing a vital role in various fields. However, ratio scaling ([Formula: see text]), the present method used to express relative VO2max, should be suspected due to its theoretical deficiencies. Therefore, the aim…
Juga tersedia di: PLOS
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Machine Learning Approaches for Diagnostics and Prognostics of Industrial Systems Using Open Source Data from PHM Data Challenges: A Review
In the field of Prognostics and Health Management (PHM), recent years have witnessed a significant surge in the application of machine learning (ML). Despite this growth, the field grapples with a lack of unified guidelines and systematic approaches for effectively implementing these ML techniques…
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Artikel Jurnal Teks lengkap
A Minimal-Sensing Framework for Monitoring Multistage Manufacturing Processes Using Product Quality Measurements
For implementing data analytic tools in real-world applications, researchers face major challenges such as the complexity of machines or processes, their dynamic operating regimes and the limitations on the availability, sufficiency and quality of the data measured by sensors. The limits on using…
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Anterior Cruciate Ligament Reconstruction and Injury Risk after Second Reconstruction Surgery in Adolescents
Background: Anterior cruciate ligament (ACL) tears are a common knee injury in younger populations, that can re-occur following ACL reconstruction (ACLR). Approximately 10-16% of children with a primary ACLR require revision, but the portion of pediatric patients which require an additional ACLR…
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Enhanced Virtual Metrology on Chemical Mechanical Planarization Process using an Integrated Model and Data-Driven Approach
As an essential process in semiconductor manufacturing, Chemical Mechanical Planarization has been studied in recent decades and the material removal rate has been proved to be a critical performance indicator. Comparing with after-process metrology, virtual metrology shows advantages in production…
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Artikel Jurnal Teks lengkap
Depth-Wise Separable Convolution Neural Network with Residual Connection for Hyperspectral Image Classification
The neural network-based hyperspectral images (HSI) classification model has a deep structure, which leads to the increase of training parameters, long training time, and excessive computational cost. The deepened network models are likely to cause the problem of gradient disappearance, which…
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Performance Assessment for a Fleet of Machines Using a Combined Method of Ant-Based Clustering and CMAC
This paper proposes a combined method of ant-based clustering and cerebellar model articulation controller for performance assessment for a fleet of machines. A novel ant-based clustering algorithm with kernel method is used to cluster machines in a fleet. The algorithm has two features. First, a…
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Agricultural Green Total Factor Productivity in Shandong Province of China
Sustainable development of agriculture has an important impact on both society and economy. In order to understand the patterns of spatio-temporal variation and the factors influencing agricultural green total factor productivity (AGTFP), this paper used Shandong province of China as a case study…
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Exploring the relationship between core stability and vertical jump in recreationally active male college students based on a suite of novel core stability assessments
Various assessments have contributed to inconsistent findings regarding the correlation between core stability and vertical jumps. Therefore, this study aimed to re-examine this correlation based on novel core stability assessments. Twenty-one recreationally active male college students (age, 21.7…
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A Systematic Methodology for Gearbox Health Assessment and Fault Classification
A systematic methodology for gearbox health assessment and fault classification is developed and evaluated for 560 data sets of gearbox vibration data provided by the Prognostics and Health Management Society for the 2009 data challenge competition. A comprehensive set of signal processing and…
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An Effective Predictive Maintenance Approach based on Historical Maintenance Data using a Probabilistic Risk Assessment: PHM14 Data Challenge
This paper presents an effective health assessment and predictive maintenance technique for industrial assets. The technique and algorithms applied to data sets provided by the Prognostics and Health Management Society 2014 Data Challenge. The data contains usage and part consumption for three…
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Exploring Factors Influencing Crash Occurrence Involving Autonomous Vehicle: Random Parameters Model With Heterogeneity in Means and Variances Approach
Autonomous vehicle (AV) technologies are expected to play a crucial role in reducing traffic crashes occurred by human factors; however, foreseeable coexistence of AVs with human-driven vehicles (HDVs) for an extended transition period raises safety concerns. Understanding factors influencing…
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Modular Reinforcement Learning for Playing the Game of Tron
Tron is a simultaneous move two-player game where a wall is created along the path where two agents move and the agent that crash with the wall first is defeated. Due to the fact that the same action may result in different outcomes (non-stationarity), it is difficult to utilize the basic approach…
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Artikel Jurnal
Intracranial Pressure Monitoring Signals After Traumatic Brain Injury: A Narrative Overview and Conceptual Data Science Framework
Continuous intracranial pressure (ICP) monitoring is a cornerstone of neurocritical care after severe brain injuries such as traumatic brain injury and acts as a biomarker of secondary brain injury. With the rapid development of artificial intelligent (AI) approaches to data analysis, the…