A study of database buffer management approaches: towards the development of a data mining based strategy

2002 ◽  
Author(s):  
Ling Feng ◽  
Hongjun Lu ◽  
Allan Wong
Keyword(s):  
Data Mining ◽  
Buffer Management ◽  
Management Approaches

scholarly journals Influence of Buffer Size change in Critical Chain Scheduling: Case Study

2021 ◽  
Vol 6 (2) ◽  
pp. 95-101
Author(s):  
N. Abidah ◽  
Muataz Al Hazza
Keyword(s):  
Project Management ◽  
Buffer Management ◽  
Buffer Size ◽  
Network Density ◽  
Adaptive Procedure ◽  
Size Change ◽  
Critical Paths ◽  
Management Approaches ◽  
Critical Chain

Performing the Critical Chain Scheduling (CCS) and Buffer Management (BM) in project management has recently risen as one of the most popular project management approaches. The critical Chain Scheduling (CCS) approach is replacing the traditional scheduling method to reduce the uncertainty associated with time schedules. The research highlights the importance of critical chain scheduling in project execution by investigating using buffers in the critical paths and the feeding baths in project management using a real case study. The case study was studied by analyzing the schedule provided and then implementing CCS and BM using four different methods. The methods are cut and paste (C&PM), the root square method (RSEM), the Adaptive procedure with resource tightness, and the Adaptive procedure with network density (APND). The buffer size obtained for each method was determined. From the result got, for project buffer in adaptive approach with network density method yields a larger buffer size compared to the adaptive procedure with resource tightness method. While for feeding buffer also show that APND resulted in a larger buffer size than APRT. Finally, the proposed buffer size was investigated and simulated using the What if approach.

Drug-Induced Movement Disorders

2015 ◽  
Vol 25 (2) ◽  
pp. 70-77
Author(s):  
Amy Lustig ◽  
Cesar Ruiz
Keyword(s):  
Movement Disorders ◽  
Medical Management ◽  
Disease Process ◽  
Underlying Disease ◽  
Extrapyramidal Symptoms ◽  
Drug Induced ◽  
General Overview ◽  
Management Approaches ◽  
Broad Understanding ◽  
Underlying Disease Process

The purpose of this article is to present a general overview of the features of drug-induced movement disorders (DIMDs) comprised by Parkinsonism and extrapyramidal symptoms. Speech-language pathologists (SLPs) who work with patients presenting with these issues must have a broad understanding of the underlying disease process. This article will provide a brief introduction to the neuropathophysiology of DIMDs, a discussion of the associated symptomatology, the pharmacology implicated in causing DIMDs, and the medical management approaches currently in use.

Data Mining and Machine Learning

2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  
Machine Learning ◽  
Data Mining

Heart Rate Variability, Emotions, and Music

2010 ◽  
Vol 24 (2) ◽  
pp. 112-119 ◽  
Author(s):  
F. Riganello ◽  
A. Candelieri ◽  
M. Quintieri ◽  
G. Dolce
Keyword(s):  
Data Mining ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Vegetative State ◽  
Low Frequency ◽  
Emotional Reactions ◽  
Heart Beat ◽  
Healthy Controls ◽  
Frequency Spectra ◽  
Emotional Value

The purpose of the study was to identify significant changes in heart rate variability (an emerging descriptor of emotional conditions; HRV) concomitant to complex auditory stimuli with emotional value (music). In healthy controls, traumatic brain injured (TBI) patients, and subjects in the vegetative state (VS) the heart beat was continuously recorded while the subjects were passively listening to each of four music samples of different authorship. The heart rate (parametric and nonparametric) frequency spectra were computed and the spectra descriptors were processed by data-mining procedures. Data-mining sorted the nu_lf (normalized parameter unit of the spectrum low frequency range) as the significant descriptor by which the healthy controls, TBI patients, and VS subjects’ HRV responses to music could be clustered in classes matching those defined by the controls and TBI patients’ subjective reports. These findings promote the potential for HRV to reflect complex emotional stimuli and suggest that residual emotional reactions continue to occur in VS. HRV descriptors and data-mining appear applicable in brain function research in the absence of consciousness.

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