An Alternative Approach to the Parametric Empirical Bayes Selection of Wavelet Thresholding

2006 ◽  
Author(s):  
Mina Aminghafari ◽  
Adel Mohammadpour
Keyword(s):  
Empirical Bayes ◽  
Wavelet Thresholding ◽  
Alternative Approach ◽  
Selection Of

Implementasi Algoritma MAX-MIN Ant System pada Penjadwalan Mata Kuliah

2013 ◽  
Vol 5 (2) ◽  
pp. 48-53
Author(s):  
William Aprilius ◽  
Lorentzo Augustino ◽  
Ong Yeremia M. H.
Keyword(s):  
Ant Colony Optimization ◽  
Ant Colony ◽  
Ant System ◽  
University Course Timetabling ◽  
Alternative Approach ◽  
Ant System Algorithm ◽  
Index Terms ◽  
Course Timetabling Problem ◽  
University Course ◽  
Selection Of

University Course Timetabling Problem is a problem faced by every university, one of which is Universitas Multimedia Nusantara. Timetabling process is done by allocating time and space so that the whole associated class and course can be implemented. In this paper, the problem will be solved by using MAX-MIN Ant System Algorithm. This algorithm is an alternative approach to ant colony optimization. This algorithm uses two tables of pheromones as stigmergy, i.e. timeslot pheromone table and room pheromone table. In addition, the selection of timeslot and room is done by using the standard deviation of the value of pheromones. Testing is carried out by using 105 events, 45 timeslots, and 3 types of categories based on the number of rooms provided, i.e. large, medium, and small. In each category, testing is performed 5 times and for each testing, the data recorded is the unplace and Soft Constraint Penalty. In general, the greater the number of rooms, the smaller the unplace. Index Terms—ant colony optimization, max-min ant system, timetabling

data a; * significance level; a=0.05; * variance of difference of two observations on the log scale; * sigmaW = within-subjects standard deviation; sigmaW=0.355; s=sqrt(2)*sigmaW; * total number of subjects (needs to be a multiple of 2); n=58; * error degrees of freedom for AB/BA cross-over with n subjects in total; n2=n-2; * ratio = mu_T/mu_R; ratio=1.00; run; data b; set a; * calculate power; t1=tinv(1-a,n-2); t2=-t1; nc1=(sqrt(n))*((log(ratio)-log(0.8))/s); nc2=(sqrt(n))*((log(ratio)-log(1.25))/s); df=(sqrt(n-2))*((nc1-nc2)/(2*t1)); prob1=probt(t1,df,nc1); prob2=probt(t2,df,nc2); answer=prob2-prob1; power=answer*100; run; proc print data=b; run; As an example of using this SAS code, suppose µ = 1, σ = 0.355, α = 0.05 and n = 58. The power (as a percentage) is calculated as 90.4. The required number of subjects to achieve a given power can easily be obtained by trial and error using a selection of values of n. An alternative approach is to use trial and error directly on the sample size n for a given power. For more on this see Phillips (1990) and Diletti et al. (1991), for example. 7.4 Individual bioequivalence As noted in Section 7.1, individual bioequivalence (IBE) is a criterion for deciding if a patient who is currently being treated with R can be

2003 ◽  
pp. 362-362
Keyword(s):  
Standard Deviation ◽  
Sample Size ◽  
Degrees Of Freedom ◽  
Trial And Error ◽  
Significance Level ◽  
Individual Bioequivalence ◽  
Alternative Approach ◽  
Within Subjects ◽  
Log Ratio ◽  
Selection Of

scholarly journals Haplotypes for Type, Degree, and Rate of Marbling in Cattle Are Syntenic with Human Muscular Dystrophy

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Sally S. Lloyd ◽  
Edward J. Steele ◽  
Jose L. Valenzuela ◽  
Roger L. Dawkins
Keyword(s):  
Muscular Dystrophy ◽  
Melting Temperature ◽  
Muscle Metabolism ◽  
Intramuscular Fat ◽  
Climatic Conditions ◽  
Alternative Approach ◽  
Selection Of

Traditional analyses of a QTL on Bota 19 implicate a surfeit of candidates, but each is of marginal significance in explaining the deposition of healthy, low melting temperature fat within marbled muscle of Wagyu cattle. As an alternative approach, we have used genomic, multigenerational segregation to identify 14 conserved, ancestral 20 Mb haplotypes. These determine the degree and rate of marbling in Wagyu and other breeds of cattle. The melting temperature of intramuscular fat is highly heritable and traceable by haplotyping. Fortunately, for the production of healthy beef, some of these haplotypes are sufficiently penetrant to be expressed in heterozygous crossbreds, thereby allowing selection of sires which will improve the healthiness of beef produced under even harsh climatic conditions. The region of Bota 19 is syntenic to a region of Hosa 17 known to be important in muscle metabolism and in determining susceptibility to a form of human muscular dystrophy.

A Denoising Method Based on EEMD and Interval-Thresholding Strategy

2014 ◽  
Vol 902 ◽  
pp. 336-340 ◽  
Author(s):  
Zhi Zhou ◽  
Xing Man Yang ◽  
Gang Chen
Keyword(s):  
Simulation Experiment ◽  
Adaptive Signal Processing ◽  
Basis Functions ◽  
Signal Denoising ◽  
Wavelet Thresholding ◽  
Denoising Method ◽  
Signal Processing Method ◽  
Adaptive Signal ◽  
Conventional Signal ◽  
Selection Of

As a conventional signal denoising method, wavelet thresholding denoising has problems including selection of basis vectors and poor denoising effect. EMD is an expansion of basis functions that are signal-dependent, but with the problem of mode mixing. In order to solve these problems, a denoising method based on EEMD and interval-thresholding strategy, an adaptive signal processing method is proposed, which can achieve good effects for signal denoising. Firstly, investigated signal is decomposed into IMFs by EEMD adaptively. Then, each IMF is denoising by interval-thresholding method based on sparse code shrinkage. Lastly, the denoised signal is reconstructed by denoised IMFs. Moreover, the presented method is validated by numerical simulation experiment.

scholarly journals Rifampin-Resistant RNA Polymerase Mutants of Chlamydia trachomatis Remain Susceptible to the Ansamycin Rifalazil

2005 ◽  
Vol 49 (3) ◽  
pp. 1120-1126 ◽  
Author(s):  
Robert J. Suchland ◽  
Agnès Bourillon ◽  
Erick Denamur ◽  
Walter E. Stamm ◽  
David M. Rothstein
Keyword(s):  
Chlamydia Trachomatis ◽  
Effective Means ◽  
Serial Passage ◽  
Single Mutation ◽  
Wild Type ◽  
Gene Encoding ◽  
Alternative Approach ◽  
Polymerase Mutants ◽  
Very High ◽  
Selection Of

ABSTRACT Stable, homotypic mutants of Chlamydia trachomatis for which MICs of rifampin and rifalazil are elevated were isolated by serial passage at sub-MIC concentrations of these compounds. An alternative approach, in which Chlamydia cells were incubated and subsequently passaged three times, all in the presence of the selective agent at concentrations above the MIC, appeared to be a more effective means of selecting for mutants. In every instance where an elevation in the MIC occurred, one or more mutations in the rpoB gene, encoding the rifampin binding site, were detected. With one exception, all rpoB mutants that contained a single mutation conferred lower levels of resistance than mutants containing multiple mutations. Some rpoB mutations conferred very high levels of resistance to rifampin, up to 512 μg/ml. In all cases, mutants remained susceptible to concentrations of rifalazil at or below 0.064 μg/ml. Thus, rifalazil, a compound that is extremely potent against Chlamydia wild-type cells (MIC of 0.00025 μg/ml), may also protect against the selection of mutants at physiologically achievable concentrations.

scholarly journals Developing a Clustering-Based Empirical Bayes Analysis Method for Hotspot Identification

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Yajie Zou ◽  
Xinzhi Zhong ◽  
John Ash ◽  
Ziqiang Zeng ◽  
Yinhai Wang ◽  
...  
Keyword(s):  
Empirical Bayes ◽  
Reference Group ◽  
Analysis Method ◽  
Crash Frequency ◽  
Crash Data ◽  
The Road ◽  
Safety Performance Functions ◽  
Bayes Analysis ◽  
Rural Highway ◽  
Selection Of

Hotspot identification (HSID) is a critical part of network-wide safety evaluations. Typical methods for ranking sites are often rooted in using the Empirical Bayes (EB) method to estimate safety from both observed crash records and predicted crash frequency based on similar sites. The performance of the EB method is highly related to the selection of a reference group of sites (i.e., roadway segments or intersections) similar to the target site from which safety performance functions (SPF) used to predict crash frequency will be developed. As crash data often contain underlying heterogeneity that, in essence, can make them appear to be generated from distinct subpopulations, methods are needed to select similar sites in a principled manner. To overcome this possible heterogeneity problem, EB-based HSID methods that use common clustering methodologies (e.g., mixture models, K-means, and hierarchical clustering) to select “similar” sites for building SPFs are developed. Performance of the clustering-based EB methods is then compared using real crash data. Here, HSID results, when computed on Texas undivided rural highway cash data, suggest that all three clustering-based EB analysis methods are preferred over the conventional statistical methods. Thus, properly classifying the road segments for heterogeneous crash data can further improve HSID accuracy.

scholarly journals GGasCT: Bringing Formal Methods to the Computational Thinking

2020 ◽  
Author(s):  
Braz Araujo da Silva Junior ◽  
Simone André da Costa Cavalheiro ◽  
Luciana Foss
Keyword(s):  
Computational Thinking ◽  
Thinking Skills ◽  
Graph Grammar ◽  
Educational Game ◽  
Graph Grammars ◽  
Game Engine ◽  
Educational Tools ◽  
Alternative Approach ◽  
Comprehensive Framework ◽  
Selection Of

This work presents an alternative approach for developing computational thinking: the graph grammars. Many related terms are individually explored in order to clarify what is in the range of computational thinking. The selection of the terms draws on a systematic literature review that sheds a light on the most commonly addressed terms in the computational thinking literature. A formal and visual language, the graph grammar, is introduced, formally defined and explored, discussing its relations with computational thinking skills. An educational game and a game engine are developed and presented as examples of graph grammars to promote computational thinking. As result, a comprehensive framework to develop and assess computational thinking through graph grammars is theoretically grounded and made available by the developed educational tools.

scholarly journals MEMODELKAN TINGKAT PENGANGGURAN DI KOTA DENPASAR DENGAN PENDUGAAN AREA KECIL EMPIRICAL BAYES

2021 ◽  
Vol 10 (2) ◽  
pp. 81
Author(s):  
REYNALDO PANJI WICAKSONO ◽  
I KOMANG GDE SUKARSA ◽  
I PUTU EKA NILA KENCANA
Keyword(s):  
Economic Development ◽  
Unemployment Rate ◽  
Small Area ◽  
Empirical Bayes ◽  
Small Area Estimation ◽  
Economic Conditions ◽  
Small Areas ◽  
Area Estimation ◽  
Direct Estimation ◽  
Selection Of

Economic development are described by the unemployment rate. The higher unemployment rate, the weaker economic conditions. Nowadays more policies require information on small areas. The direct estimation does not provide accurate results in smaller areas. Thus the small area estimation becomes an alternative to estimate the parameters. The accuracy depends on the selection of the predictors. In 2019, the unemployment rate in Denpasar is 2,22%. The result shows that the unemployment rate in each district in Denpasar varies from 0,1% to 0,3%

scholarly journals A Real-Time Snore Detector Using Neural Networks and Selected Sound Features

2021 ◽  
Vol 11 (1) ◽  
pp. 8
Author(s):  
Stelios A. Mitilineos ◽  
Nicolas-Alexander Tatlas ◽  
Georgia Korompili ◽  
Lampros Kokkalas ◽  
Stelios M. Potirakis
Keyword(s):  
Real Time ◽  
Enabling Technology ◽  
The Public ◽  
Detection Tool ◽  
Alternative Approach ◽  
Obstructive Sleep ◽  
Sound Features ◽  
Hypopnea Syndrome ◽  
Selection Of ◽  
At Home

Obstructive sleep apnea hypopnea syndrome (OSAHS) is a widespread chronic disease that mostly remains undetected, mainly due to the fact that it is diagnosed via polysomnography, which is a time and resource-intensive procedure. Screening the disease’s symptoms at home could be used as an alternative approach in order to alert individuals that potentially suffer from OSAHS without compromising their everyday routine. Since snoring is usually linked to OSAHS, developing a snore detector is appealing as an enabling technology for screening OSAHS at home using ubiquitous equipment like commodity microphones (included in, e.g., smartphones). In this context, we developed a snore detection tool and herein present our approach and selection of specific sound features that discriminate snoring vs. environmental sounds, as well as the performance of the proposed tool. Furthermore, a real-time snore detector (RTSD) is built upon the snore detection tool and employed in whole-night sleep sound recordings, resulting in a large dataset of snoring sound excerpts that are made freely available to the public. The RTSD may be used either as a stand-alone tool that offers insight concerning an individual’s sleep quality or as an independent component of OSAHS screening applications in future developments.

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