-
Article
Incorporating Segmentive & Augmentive Tools in Cosine KNN for Bearing Intelligent Fault Diagnosis
To address challenges in Intelligent Fault Diagnosis (IFD) of bearings in rotating machinery, this study aims to propose a model that reduces computational resources and expert dependence while enhancing perfo...
-
Article
Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration Data
Deep Neural Networks (DNNs) typically require enormous labeled training samples to achieve optimum performance. Therefore, numerous forms of data augmentation techniques are employed to compensate for the lack...
-
Chapter and Conference Paper
Bearing Fault Diagnosis Using Extreme Learning Machine Based on Artificial Gorilla Troops Optimizer
Bearing diagnosis is important to ensure smooth machinery operation and safety. Machine learning methods have been used widely in bearing diagnosis study, and one of the recent methods used is an extreme learn...
-
Chapter and Conference Paper
Performance Evaluation of BPSO & PCA as Feature Reduction Techniques for Bearing Fault Diagnosis
Vibration-based signal processing is the most popular and effective approach for fault diagnosis of bearing. In this paper, time-frequency domain analysis, i.e. empirical mode decomposition (EMD) was applied t...
-
Article
Noise Eliminated Ensemble Empirical Mode Decomposition for Bearing Fault Diagnosis
Although noise-assisted decomposition methods, ensemble empirical mode decomposition (EEMD) and complementary EEMD (CEEMD) can reduce the drawbacks of empirical mode decomposition (EMD), they cannot fully elim...
-
Article
Loneliness: contemporary insights into causes, correlates, and consequences
-
Article
Is loneliness a feasible treatment target in psychosis?
Loneliness is a challenge for individuals with psychosis; however, interventions rarely target loneliness in this group.
-
Chapter
Understanding Cryopreservation of Oyster Oocytes from a Physical Chemistry Perspective
Cryopreservation applies to the freezing, storage (usually long-term) at a very low temperature, thawing, and successful recovery of living cells. There are seven basic steps in cryopreservation protocols: sam...
-
Article
Using Earth’s Field NMR to Study Brine Content in Antarctic Sea Ice: Comparison with Salinity and Temperature Estimates
We report on the use in Antarctica of a portable nuclear magnetic resonance spectrometer which utilizes the Earth’s magnetic field. We obtain estimates of brine content, in samples of sea ice extracted at diff...
-
Chapter and Conference Paper
Evolvable Fuzzy System for ATM Cell Scheduling
In this paper, we propose an evolvable fuzzy system for ATM cell scheduling. When the scenarios of cell flows in an ATM network change dramatically, traditional scheduling algorithms, first-in-first-out (FIFO) an...
-
Article
Efficient Genetic Algorithms Using Simple Genes Exchange Local Search Policy for the Quadratic Assignment Problem
In this paper, we describe an approach for solving the quadratic assignment problem (QAP) that is based on genetic algorithms (GA). It will be shown that a standard canonical GA (SGA), which involves genetic o...
-
Article
Soft X-Rays for Deep Sub-100 Nm Lithography, with and Without Masks
The development of micro- and nanofabrication, their applications, and their dependent industries has progressed to a point where a bifurcation of technology development will likely occur. On the one hand, the...
-
Article
Polyominoes tiling by a genetic algorithm
Most existing placement algorithms were designed to handle blocks that are rectangular in shape. In this paper, we show how a genetic algorithm (GA) is used to construct an optimal arrangement of two-dimension...
-
Article
Intelligent monitoring of a frequency-trimming process
In the development of a process diagnostic system to monitor the condition of the frequency-trimming process in the production of crystal resonators, fuzzy logic can be applied in the recognition of unnatural ...
-
Chapter
An experiment in automation of statistical process control using fuzzy logic
This paper describes the development of a system to aid in maintaining a successful and reliable quality control program in a manufacturing environment. Such a system besides acquiring process related data wil...
