Sound-Propagation Curves in Industrial Workrooms: Statistical Trends and Empirical Prediction Models

1996 ◽  
Vol 3 (1) ◽  
pp. 25-32 ◽  
Author(s):  
Murray Hodgson
Keyword(s):  
Prediction Models ◽  
Sound Propagation ◽  
Power Level ◽  
Point Of View ◽  
Absolute Level ◽  
Line Segments ◽  
Empirical Prediction ◽  
Straight Line ◽  
Statistical Trends ◽  
Made In

Predictions of workroom noise levels are based on predictions of the workroom sound-propagation curve, SP( r) – the variation with distance r from an omnidirectional point source of the sound-pressure level Lp ( r) minus the source sound-power level Lw SP( r) = Lp ( r)- Lw. While more accurate approaches such as ray tracing exist, from a practical point of view there is considerable scope for developing simple empirical prediction methods. In fact, several such models exist. However, these have short-comings which warrant the development of a new model. The approach taken here was to predict the slope(s) and absolute level(s) of the sound-propagation curve, approximated by one or more straight-line segments. With this in mind, octave-band sound-propagation measurements were made in a number of empty and fitted workrooms. The curves were approximated by one or two straight-line segments. The intercepts and slopes of the segments were then determined, and their averages and standard deviations calculated. The statistical trends provide information on the behaviour of sound in industrial workrooms. The results are used to develop simple empirical prediction models.

BIO-ENERGY FROM PHOTOSYNTHETIC ALLOYS FOR USE IN BIOGUALS AND BIOPRODUCTS

2019 ◽  
pp. 613-618
Author(s):  
Petar Kazakov ◽  
Atanas Iliev ◽  
Emil Ivanov ◽  
Dobri Rusev
Keyword(s):  
Technical Progress ◽  
Point Of View ◽  
Energy Sustainability ◽  
International Activities ◽  
Made In

Significant technical progress has been made in recent years in the development of algae-based bioenergy, and much of industrial and academic R&D projects have diverged from the biofuels strategy. This report summarizes the conclusions of a recently concluded symposium analyzing the prospects for using micro- and macroalgae as a feedstock for biofuels and bioenergy. It discusses international activities for the development of bio-energy and non-energy algae bioproducts, advances in the use of macroalgae (both non-cultivated and cultivated algae). Applications for various biochemical and thermochemical uses, bio-refining capabilities for various products, as well as an in-depth review of the process from the point of view of economy and energy sustainability are also given.

scholarly journals Competing risks joint models using R-INLA

2021 ◽  
Vol 21 (1-2) ◽  
pp. 56-71
Author(s):  
Janet van Niekerk ◽  
Haakon Bakka ◽  
Håvard Rue
Keyword(s):  
Competing Risks ◽  
Count Data ◽  
Joint Model ◽  
Point Of View ◽  
Spatial Structures ◽  
Joint Models ◽  
Hazard Functions ◽  
Longitudinal Count Data ◽  
Non Gaussian ◽  
Made In

The methodological advancements made in the field of joint models are numerous. None the less, the case of competing risks joint models has largely been neglected, especially from a practitioner's point of view. In the relevant works on competing risks joint models, the assumptions of a Gaussian linear longitudinal series and proportional cause-specific hazard functions, amongst others, have remained unchallenged. In this article, we provide a framework based on R-INLA to apply competing risks joint models in a unifying way such that non-Gaussian longitudinal data, spatial structures, times-dependent splines and various latent association structures, to mention a few, are all embraced in our approach. Our motivation stems from the SANAD trial which exhibits non-linear longitudinal trajectories and competing risks for failure of treatment. We also present a discrete competing risks joint model for longitudinal count data as well as a spatial competing risks joint model as specific examples.

Multi-criteria Decision-making Applications Based on Set Valued Generalized Neutrosophic Quadruple Sets for Law

2021 ◽  
pp. 41-60
Author(s):  
Necmiye Merve Sahin ◽  
◽  
◽  
Merve Sena Uz
Keyword(s):  
Decision Making ◽  
Similarity Measure ◽  
Point Of View ◽  
Multi Criteria Decision Making ◽  
Legal Decisions ◽  
The Law ◽  
Made In

In this article, an algorithm has been introduced that enables judges to see the decisions that should be made in a way that is closest to the conscience and the law, without transferring the cases to the higher authorities, without anyone objecting to their decisions. This algorithm has been introduced depending on the generalized set-valued neutrosophic quadruple numbers and the Euclidean similarity measure in sets, what the decision is made by considering all the situations, regardless of which case the defendants come before the judge, how similar these decisions are to the legal decisions that should be made. In this way, we can easily see the decisions given to the accused in all kinds of cases, and we can arrange the decisions according to the similarity value. The closer the similarity value is to 1, the more correct the judge's decision from a legal point of view.

Gorald Enell. "Stomach ulcers". Library of the Practical Physician, Vol. 30. Giz. 1929, 123 pages, price 1 p.

1929 ◽  
Vol 25 (5) ◽  
pp. 582-583
Author(s):  
R. Luria
Keyword(s):  
Peptic Ulcer ◽  
Central Europe ◽  
Practical Interest ◽  
Living Conditions ◽  
Point Of View ◽  
Made In ◽  
Stomach Ulcers

The author aims to highlight the "peptic ulcer" (Die Magengeschwrkrankheit), its pathology and therapy from the point of view of a therapist. As you know, in addition to very detailed chapters in large manuals, many separate monographs are devoted to this issue (I will name only Yarotsky, Enriquez et Durand, Ruhman, Balint, F. Ramond, Tagepa from recent works), but the enormous practical interest presented by the doctrine of peptic ulcer makes it useful to cover the issue again; especially interesting are the observations made in a country where living conditions are somewhat different than: in central Europe, in Sweden

The Quantification of Internal Noise Levels and Wall Pressure Spectra in Industrial Gas Pipelines

1991 ◽  
Author(s):  
M. P. Norton ◽  
A. Pruiti
Keyword(s):  
Prediction Models ◽  
Transmission Loss ◽  
Pressure Fluctuations ◽  
Internal Noise ◽  
Wall Pressure ◽  
Gas Pipelines ◽  
Noise Levels ◽  
Empirical Prediction ◽  
Wall Pressure Fluctuations ◽  
Semi Empirical

Abstract This paper addresses the issue of quantifying the internal noise levels/wall pressure fluctuations in industrial gas pipelines. This quantification of internal noise levels/wall pressure fluctuations allows for external noise radiation from pipelines to be specified in absolute levels via appropriate noise prediction models. Semi-empirical prediction models based upon (i) estimated vibration levels and radiation ratios, (ii) semi-empirical transmission loss models, and (iii) statistical energy analysis models have already been reported on by Norton and Pruiti 1,3 and are not reported on here.

GUIDANCE IN MATERNAL AND INFANT CARE TWO MONTHS BEFORE AND AFTER THE BIRTH OF THE FIRST-BORN

PEDIATRICS ◽  
1948 ◽  
Vol 2 (2) ◽  
pp. 200-206
Author(s):  
AUGUSTA STUART CLAY
Keyword(s):  
Normal Growth ◽  
Point Of View ◽  
High School Education ◽  
Pediatric Care ◽  
New Haven ◽  
Private Physician ◽  
Healthy Pregnancy ◽  
Before And After ◽  
Haven Hospital ◽  
Made In

THIS study was made in the belief that family living and growth can be healthier if parents understand how mother and baby develop and what they need. Eleven mothers were visited weekly for two months before and after the birth of their firstborn to discover what guidance they wanted, what was offered, and what additional guidance was needed. The writer secured their cooperation by agreeing to work with them as a consultant, to interpret their point of view to the doctor, to explain medical instructions when permitted, and to teach the normal growth processes of mother and baby. Ten mothers were registered in the prenatal clinics of the New Haven Hospital; the eleventh had a private physician. They had no recorded problems beyond the needs of healthy pregnancy and they wanted to participate. Eight husbands agreed to take part in the study. The other three were overseas, but their wives reported for them. Backgrounds varied; 20 of the 22 had had college or high school education; all were between 18 and 32. None dropped out, and after the four months all asked for continued guidance. Cases were too few and the study too brief for statistical evidence. But problems were uncovered which needed to be considered and which have largely been neglected in routine obstetric and pediatric care. These parents wanted to learn—not in classes, but in the privacy of home—how to care for mother and baby without disrupting their accustomed way of living. All wanted the care and interest of one doctor for mother and one for baby. However, six women and five men preferred to talk with a consultant who was not a doctor, but who was affiliated with their doctors. The doctors seemed too busy for "little things" and "family affairs," and they saw so many doctors that they all seemed strangers. Once they felt sure that the consultant's interest was in themselves rather than in teaching them, they set the pace and pattern in the conference. There was no questionnaire, no probing, no set procedure. If they had any immediate interests or problems: job, move, presents, trips, in-laws, illness—these were discussed before they talked of pregnancy and baby.

Bayesian Forcasting Model – 2020 Presidential Elections in the United States of America

2021 ◽  
Vol 704 (1) ◽  
pp. 91-104
Author(s):  
Maria Raczyńska
Keyword(s):  
United States ◽  
United States Of America ◽  
Presidential Elections ◽  
Bayesian Models ◽  
The United States ◽  
Point Of View ◽  
Forecasting Model ◽  
Bayesian Forecasting ◽  
Technical Point ◽  
Made In

The article describes and explains a prior centric Bayesian forecasting model for the 2020 US elections.The model is based on the The Economist forecasting project, but strongly differs from it. From the technical point of view, it uses R and Stan programming and Stan software. The article’s focus is on theoretical decisions made in the process of constructing the model and outcomes. It describes why Bayesian models are used and how they are used to predict US presidential elections.

Modeling and Analysis of Surface Roughness with Statistical and Soft Computing Approach

2021 ◽  
Vol 106 ◽  
pp. 109-115
Author(s):  
L.B. Abhang ◽  
M. Hameedullah
Keyword(s):  
Surface Roughness ◽  
Fuzzy Logic ◽  
Soft Computing ◽  
Prediction Models ◽  
Tool Geometry ◽  
Modeling And Analysis ◽  
Empirical Prediction ◽  
Lathe Machine ◽  
Carbide Inserts ◽  
Computing Approach

The objective of this study focuses on developing empirical prediction models using response regression analysis and fuzzy-logic. These models latter can be used to predict surface roughness according to technological variables. The values of surface roughness produced by these models are compared with experimental results. Experimental investigation has been carried out by using scientific composite factorial design on precision lathe machine with tungsten carbide inserts. Surface roughness measured at end of each experimental trial (three times), to get the effect of machining conditions and tool geometry on the surface finish values. Research showed that soft computing fuzzy logic model developed produces smaller error and has satisfactory results as compared to response regression model during machining.

scholarly journals Use of otoliths to estimate size at sexual maturity in fish

2000 ◽  
Vol 43 (4) ◽  
pp. 437-440 ◽  
Author(s):  
Carlos Sérgio Agostinho
Keyword(s):  
Sexual Maturity ◽  
Line Segments ◽  
Alternative Method ◽  
Straight Line ◽  
Size At Sexual Maturity

The viability of an alternative method for estimating the size at sexual maturity of females of Plagioscion squamosissimus (Perciformes, Sciaenidae) was analyzed. This methodology was used to evaluate the size at sexual maturity in crabs, but has not yet been used for this purpose in fishes. Separation of young and adult fishes by this method is accomplished by iterative adjustment of straight-line segments to the data for length of the otolith and length of the fish. The agreement with the estimate previously obtained by another technique and the possibility of calculating the variance indicates that in some cases, the method analyzed can be used successfully to estimate size at sexual maturity in fish. However, additional studies are necessary to detect possible biases in the method.

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