Value engineering using load-cell test data of barrette foundations – a case study

2020 ◽  
pp. 1-30
Author(s):  
Sujatha Manoj ◽  
Deepankar Choudhury ◽  
Marwan Alzaylaie
Keyword(s):  
Test Data ◽  
Load Cell ◽  
Value Engineering ◽  
Cell Test

How to Assess Prognostic Models for Survival Data: A Case Study in Oncology

2003 ◽  
Vol 42 (05) ◽  
pp. 564-571 ◽  
Author(s):  
M. Schumacher ◽  
E. Graf ◽  
T. Gerds
Keyword(s):  
Test Data ◽  
Survival Data ◽  
Prediction Error ◽  
Classification Scheme ◽  
Neural Nets ◽  
Brier Score ◽  
Data Set ◽  
Independent Test ◽  
Artificial Neural

Summary Objectives: A lack of generally applicable tools for the assessment of predictions for survival data has to be recognized. Prediction error curves based on the Brier score that have been suggested as a sensible approach are illustrated by means of a case study. Methods: The concept of predictions made in terms of conditional survival probabilities given the patient’s covariates is introduced. Such predictions are derived from various statistical models for survival data including artificial neural networks. The idea of how the prediction error of a prognostic classification scheme can be followed over time is illustrated with the data of two studies on the prognosis of node positive breast cancer patients, one of them serving as an independent test data set. Results and Conclusions: The Brier score as a function of time is shown to be a valuable tool for assessing the predictive performance of prognostic classification schemes for survival data incorporating censored observations. Comparison with the prediction based on the pooled Kaplan Meier estimator yields a benchmark value for any classification scheme incorporating patient’s covariate measurements. The problem of an overoptimistic assessment of prediction error caused by data-driven modelling as it is, for example, done with artificial neural nets can be circumvented by an assessment in an independent test data set.

Rational-Emotive Therapy and Depression: A Clinical Case Study

1980 ◽  
Vol 51 (3) ◽  
pp. 853-854
Author(s):  
Arthur Mac Neill Horton ◽  
Carl H. Johnson
Keyword(s):  
Depressed Patient ◽  
Test Data ◽  
Clinical Setting ◽  
Clinical Case ◽  
Clinical Settings ◽  
Dramatic Improvement ◽  
Rational Emotive Therapy ◽  
Clinical Case Study ◽  
Rational Emotive

Rational-emotive group and bibliotherapy were used to treat a depressed patient in a clinical setting. Psychological test data document a dramatic improvement. It is suggested that rational-emotive therapy may prove efficacious for the treatment of some depressed patients in clinical settings.

A Case Study in Extended Value Engineering

2002 ◽  
Author(s):  
R. Anderson ◽  
R. Sturges
Keyword(s):  
Process Improvement ◽  
Cost Reduction ◽  
Systematic Approach ◽  
Value Engineering ◽  
Cost Comparison ◽  
Mining Equipment ◽  
Analysis Process ◽  
Extended Value ◽  
Product And Process

Extended value engineering techniques provide an efficient, systematic approach to expose unnecessary costs, spur innovation, and direct efforts toward product and process improvement. Extended value engineering involves the comprehensive application of function diagramming, cost/cycle analysis, process diagramming, and competitive cost comparison. The application of these techniques to a mining equipment manufacturer, specifically to an ore haulage vehicle, is described in terms of cost reduction and manufacturing process improvement.

scholarly journals Integrated Framework for Proper Constructability in Bridges Using Value Engineering and Analytical Network Process 'ANP" (Analytical Study): إطار متكامل لتحسين إنشائية الكباري باستخدام الهندسة القيمية وعملية الشبكة التحليلية "ANP" (دراسة تحليلية)

2021 ◽  
Vol 5 (4) ◽  
pp. 107-81
Author(s):  
Nagwan El- Sayed Abo El- Enen, Khaled Mohamed Heiza, Ibrahim Nagwan El- Sayed Abo El- Enen, Khaled Mohamed Heiza, Ibrahim
Keyword(s):  
Life Cycle Cost ◽  
Construction Projects ◽  
Decision Model ◽  
Analytical Study ◽  
Decision Makers ◽  
Value Engineering ◽  
Analytical Network Process ◽  
Network Process ◽  
Readiness To Adopt

Due to recent environmental and Political requirements, and regulations of the construction industry, in which bridges is one of its important category, deciding its proper constructability is becoming vital. Therefor the objective of this research is to develop a decision model for selecting proper constructability of green bridges constructions, the model was built based on analytical network process (the ANP) soft were program, integrated with value engineering approach. For this analytical study different parameters are identified and ranked to be implemented for the decision model developed on the biases of four surveying studies conducted in this study the results of these surveying's was be analyzed by using the statically analytical program; "SPSS". Model validation and reliability is carried out using the analytical network process (ANP) for statistically analysis using case study which is a cable bridge project constructed in Egypt. ANP proves to be an effective framework for assessing readiness to adopt and facilitating TQM. The result of the study illustrate that the proper constructability alternative in green bridge concept for this determinate project is the concrete box girder type, upon this there is a cost loss of $3, 500 per square meter, equivalent to 50% losses, respect to the life cycle cost this is due to did not using the best alternate of the estimated project. upon the possibility of applying this decision model to such studies of infrastructure projects, and with respect to the results gained; it is recommend to apply the ANP model with respect to VE procedures to bridges projects of all kinds and their determinants, as well as all other construction projects, especially national ones, in future studies, which allows decision- makers to make decisions that aim at the highest quality without any waste in unnecessary costs.

scholarly journals Procedure for managing large-scale progeny test data: a case study of Scots pine in Finland

Silva Fennica ◽  
2002 ◽  
Vol 36 (2) ◽  
Author(s):  
Martti Venäläinen ◽  
Seppo Ruotsalainen
Keyword(s):  
Scots Pine ◽  
Test Data ◽  
Large Scale ◽  
Progeny Test

scholarly journals IMPROVING STUDENTS’ READING “DESCRIPTIVE TEXT” USING SMALL GROUP DISCUSSION, A CASE STUDY OF X MIPA-7 CLASS OF 11 SENIOR HIGH SCHOOL SEMARANG IN ACADEMIC YEAR 2018/2019

2019 ◽  
Vol 12 (2) ◽  
pp. 102
Author(s):  
Yongki Arya Permana ◽  
Erna Setyawati ◽  
Maria Yosephine
Keyword(s):  
High School ◽  
Small Group ◽  
Test Data ◽  
Group Discussion ◽  
Senior High School ◽  
Small Group Discussion ◽  
Post Test ◽  
Academic Year

Tujuan dari penelitian ini adalah untuk mendeskripsikan: (1) bagaimana penggunaan Small Group Discussion dapat meningkatkan kemampuan ketrampilan membaca siswa dalam materi descriptive text. (2) Kelebihan menggunakan Small Group Discussion dalam pembelajaran penguasaan ketrampilan membaca. Dalam penelitian tindakan kelas ini dilaksanakan dalam dua siklus pada siswa kelas X MIPA-7 SMA Negeri 11 Semarang. Setiap siklus terdiri dari empat tahapan: perencanaan, pelaksanaan, pengamatan, refleksi. Terdapat dua jenis data: data kualitatif dan data kuantitatif. Data kualitatif diperoleh dengan menggunakan lembar pengamatan, wawancara, dan catatan lapangan. Kemudian, data kuantitatif diperoleh menggunakan tes (pre-test dan post-test). Data kualitatif dianalisis menggunakan 5 tahapan yang disarankan oleh Burns (1999: 157-159) yakni sebagai berikut: menghimpun data, mencatat data, membandingkan data, membangun teori, dan melaporkan hasil penelitian. Data kuantitatif dianalisis menggunakan statistik deskriptif. Hasil penelitian menunjukkan bahwa penggunaan Small Group Discussion dapat meningkatkan kemampuan siswa dalam ketrampilan membaca. Selain itu, Small Group Discussion dapat digunakan untuk mendukung guru dalam pengelolaan kelas. Peneliti juga menemukan kelebihan Small Group Discussion dalam pembelajaran ketrampilan membaca. Small Group Discussion tidak hanya membuat suasana kelas menjadi nyaman dan menarik, akan tetapi juga meningkatkan partisipasi siswa dalam berbagi ide dan bertukar informasi dalam pembelajaran ketrampilan membaca descriptive text.

A new analytical model for reliability analysis of a launch vehicle system with limited test data

2018 ◽  
Vol 233 (9) ◽  
pp. 3482-3495
Author(s):  
V Murugesan ◽  
Sreejith Plappillimadam ◽  
VJ Saji ◽  
SS Maruthi ◽  
AK Anilkumar
Keyword(s):  
Reliability Analysis ◽  
Analytical Model ◽  
Test Data ◽  
Weighting Factor ◽  
Design Parameters ◽  
Launch Vehicles ◽  
Minimum Number ◽  
First Time ◽  
Propellant Rocket

Reliability is one of the critical design parameters for the launch vehicles and its systems. When the systems are ready to fly the first time, only limited test data are available and accordingly reliability assessed will be very low. However, in most cases, the new systems are derived and developed using the knowledge and experience gained from the heritage systems to meet the fresh challenges. Hence, the reliability assessed with the minimum number of tests done on the new system does not truly reflect the inherent reliability of the system. In this paper, an approach and a new analytical model are developed for the reliability assessment of systems with limited test data, giving an accurate weighting for the tests and flight experiences with similar systems. The method gives a systematic procedure for arriving at the weighting factor for test data of the pedigree system, with due consideration of the similarities between the systems and various factors influencing system reliability. The method is illustrated with a case study of a newly developed liquid propellant rocket system. The model is validated using the available test and flight data of two propulsion systems with adequate flight experience. The analytical model is generic in nature and can be applied to reliability analysis of any system, which has considerable similarities with a pedigree system.

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