scholarly journals A New Approach for Reliability Life Prediction of Rail Vehicle Axle by Considering Vibration Measurement

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Meral Bayraktar ◽  
Rahmi Guclu ◽  
Necati Tahrali
Keyword(s):  
Life Prediction ◽  
Equivalent Stress ◽  
Real Life ◽  
Vibration Measurement ◽  
New Approach ◽  
The Real ◽  
Rail Vehicle ◽  
Real Life Data ◽  
Experimental Works ◽  
Good Agreement

The effect of vibration on the axle has been considered. Vibration measurements at different speeds have been performed on the axle of a running rail vehicle to figure out displacement, acceleration, time, and frequency response. Based on the experimental works, equivalent stress has been used to find out life of the axles for 90% and 10% reliability. Calculated life values of the rail vehicle axle have been compared with the real life data and it is found that the life of a vehicle axle taking into account the vibration effects is in good agreement with the real life of the axle.

Effectiveness and safety of nivolumab in advanced non-small cell lung cancer: The real-life data

Lung Cancer ◽  
2018 ◽  
Vol 126 ◽  
pp. 217-223 ◽  
Author(s):  
Elizabeth Dudnik ◽  
Mor Moskovitz ◽  
Sameh Daher ◽  
Sivan Shamai ◽  
Ekaterina Hanovich ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Real Life ◽  
Small Cell ◽  
Small Cell Lung ◽  
The Real ◽  
Life Data ◽  
Real Life Data

scholarly journals Optimization of Honey Bee Production

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Honey Bee ◽  
Hierarchical Model ◽  
Real Life ◽  
Production Model ◽  
Weighted Sum ◽  
The Real ◽  
Honey Production ◽  
Life Data ◽  
Real Life Data ◽  
Selection Of

Beekeepers are faced with quite a number of challenges such as selection of fields and enhancement of honey production. In this paper crisp deterministic honey bee production model was formulated in an attempt to optimize the distribution of beehives in the apiary in order to maximize production of honey and minimize unhealthy competition among foraging bees which often arises as a result of overcrowding. The model was characterized using Weighted sum model (WSM) and Analytic Hierarchical Model (AHM). Finally the validity of the model was tested with the real life data and the results obtained shows that proper distribution of the bee hives in the apiary is important to maximize production and minimize unpleasant fields.

scholarly journals MA13.05 Nivolumab in Non-Small Cell Lung Cancer (NSCLC): The Real-Life Data

2017 ◽  
Vol 12 (1) ◽  
pp. S417-S418
Author(s):  
Elizabeth Dudnik ◽  
Mor Moskovitz ◽  
Sameh Daher ◽  
Sivan Shamai ◽  
Ekaterina Hanovich ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Real Life ◽  
Small Cell ◽  
Small Cell Lung ◽  
The Real ◽  
Life Data ◽  
Real Life Data

Neural Network-Based Diagnostic Tool for Identifying the Factors Responsible for Depression

2019 ◽  
Vol 18 (02) ◽  
pp. 1950014
Author(s):  
Kumar Ashish ◽  
Subhagata Chattopadhyay ◽  
Xiao-Zhi Gao ◽  
Nirmal Baran Hui
Keyword(s):  
Neural Network ◽  
Diagnostic Tool ◽  
Real Life ◽  
Batch Mode ◽  
The Real ◽  
Life Data ◽  
Severity Grade ◽  
Real Life Data ◽  
Relationship Of ◽  
Reverse Mapping

The paper aims at establishing the output-to-input relationship of the real-life adult depression data using a neural network (NN) model. The said model has been developed to diagnose and detect the associated severity (grade) of the illness. An intelligent NN-based reverse model has been trained through batch mode and put to test on another set of real-life data. Reverse mapping of this model has been developed to isolate significantly contributing input components (factors) for any given case to expedite the preventive procedure for further deterioration as well as the start of treatment.

Clinical predictors of the effectiveness of tiotropium in adults with symptomatic asthma: the real-life data

2018 ◽  
Author(s):  
Wen-Chien Cheng ◽  
Chih-Yen Tu ◽  
Biing-Ru Wu ◽  
Chih-Yu Chen ◽  
Wei-Chun Chen ◽  
...  
Keyword(s):  
Real Life ◽  
Clinical Predictors ◽  
The Real ◽  
Life Data ◽  
Real Life Data ◽  
Symptomatic Asthma

The Real-Life Data of BRAF Mutation on the Treatment of Colorectal Cancer: a TOG Study

2020 ◽  
Author(s):  
Ismail Beypinar ◽  
Hacer Demir ◽  
Abdullah Sakin ◽  
Burcu Yapar Taskoylu ◽  
Teoman Sakalar ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Braf Mutation ◽  
Real Life ◽  
The Real ◽  
Life Data ◽  
Real Life Data

Evolutionary Driver Scheduling with Relief Chains

2001 ◽  
Vol 9 (4) ◽  
pp. 445-460 ◽  
Author(s):  
Raymond S. K. Kwan ◽  
Ann S. K. Kwan ◽  
Anthony Wren
Keyword(s):  
Hybrid Approach ◽  
Real Life ◽  
Data Sets ◽  
Scheduling Problems ◽  
New Approach ◽  
Driver Scheduling ◽  
Real Life Data ◽  
Construction Heuristic ◽  
Problem Instances

Public transport driver scheduling problems are well known to be NP-hard. Although some mathematically based methods are being used in the transport industry, there is room for improvement. A hybrid approach incorporating a genetic algorithm (GA) is presented. The role of the GA is to derive a small selection of good shifts to seed a greedy schedule construction heuristic. A group of shifts called a relief chain is identi-fied and recorded. The relief chain is then inherited by the offspring and used by the GA for schedule construction. The new approach has been tested using real-life data sets, some of which represent very large problem instances. The results are generally better than those compiled by experienced schedulers and are comparable to solutions found by integer linear programming (ILP). In some cases, solutions were obtained when the ILP failed within practical computational limits.

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