Statistical Analysis of Loading for the Simulation of Belt Conveyor–Based Transportation System

2019 ◽  
pp. 44-54
Author(s):  
Piotr J. Bardziński ◽  
Witold Kawalec ◽  
Robert Król
Keyword(s):  
Statistical Analysis ◽  
Transportation System ◽  
Belt Conveyor

scholarly journals EVALUASI KANTONG PARKIR DI KAWASAN UGM DAN DESAIN PERANCANGAN TRANSPORTASI KAMPUS YANG TERINTEGRASI

Jurnal PenSil ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 8-17
Author(s):  
Muhammad Iqbal Habibi Kamal ◽  
Muhammad Zudhy Irawan ◽  
Raihan Pasha Isheka
Keyword(s):  
Statistical Analysis ◽  
Architectural Design ◽  
Descriptive Analysis ◽  
Development Planning ◽  
Transportation System ◽  
Ideal Condition ◽  
Transit Oriented Development ◽  
Parking Lots ◽  
Data Collection Process ◽  
Parking Lot

The focus of this study is by the quality increase of UGM parking lots. Parking lots performance is evaluated at the beginning of this study and continued with the development planning as a parking lot that integrated with the campus transportation system. The aim of this study is to examine the UGM parking lots facilities caused by the phenomenon of an increase in the number of student vehicles that occur every year. The data collection process was done by field observation and interview using questioner. The data is processed by counting-analysis of parking characteristic and descriptive analysis related students' responses about the development of campus transportation system. After that, the Transit Oriented Development (TOD) principle area is planned to create conducive area in the transportation system. The result of statistical analysis showed there was no ideal condition in between both of parking lot samples, with parking index 135% for the Eastern Faculty of Philosophy parking lot and 103% for the PPB South parking lot. In addition, based on the TOD assessment metric according to ITDP (2014), UGM scored 74 out of 100. Therefore, alternative solution given by this study were architectural design as parking lots, pedestrian sidewalk, bicycle road, and bus-campus route. The effort created to bring UGM to be one of educopolis campus.  

scholarly journals Specific Energy Consumption of a Belt Conveyor System in a Continuous Surface Mine

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5214 ◽  
Author(s):  
Witold Kawalec ◽  
Natalia Suchorab ◽  
Martyna Konieczna-Fuławka ◽  
Robert Król
Keyword(s):  
Energy Consumption ◽  
Specific Energy ◽  
Specific Energy Consumption ◽  
Electric Energy ◽  
Transportation System ◽  
Transportation Systems ◽  
Open Pit ◽  
Design Parameters ◽  
Belt Conveyor ◽  
Electric Energy Consumption

Belt conveyor (BC) transportation systems are considered to be the most effective for handling large volumes of bulk material. With regards to the rules of sustainable development, the improvement of belt conveyor technology is, in many cases, focused on environmental issues, which include the idea of energy usage optimization. The key issue in an energy-efficient transportation system is reducing the value of specific energy consumption (SEC) by increasing conveyor capacity whilst decreasing belt conveyor motion resistance. The main idea of this paper is to conduct an analysis of the modernization of existing belt conveyor transportation systems operated in open-pit lignite mines, in order to achieve relatively small electric energy consumption for a considered transportation task. The first part of the paper investigates the relationship between a conveyor’s SEC and material flow rate for various conveyor design parameters. Then, based on multi-parameter simulations, an analysis of electric energy consumption for a belt conveyor transportation system is carried out. Finally, an energy-saving, environmentally friendly solution is presented.

Simulation analysis of critical factors of a casualty transportation for disaster response: A case study of Istanbul earthquake

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nadide Çağlayan ◽  
Sule Itir Satoglu
Keyword(s):  
Statistical Analysis ◽  
Disaster Response ◽  
Large Scale ◽  
Transportation System ◽  
Data Driven ◽  
Selection Rules ◽  
Content Type ◽  
Support Tool ◽  
Design Factors

Purpose The purpose of this paper is to statistically assess the effects of the design factors including usage of data-driven decision support tool (DST), classification of patients (triage), prioritization based on vital scores of patients, number of ambulances and hospital selection rules, on the casualty transportation system’s performance in large-scale disasters. Besides, a data-driven DST for casualty transportation is proposed to enhance the casualty survival and ambulance transportation times during the disaster response stage. Design/methodology/approach In this study, the authors applied simulation and statistical analysis to evaluate the effects of usage of data-driven DST, classification of patients (triage), prioritization of the patients based on vital scores, number of ambulances and hospital selection rules, on the patient survival and transportation time of the casualty transportation system. An experimental design was made, and 16 scenarios were formulated. Simulation models were developed for all scenarios. The number of unrecoverable casualties and time-spent by the casualties until arriving at the hospital was observed. Then, a statistical analysis was applied to the simulation results, and significant factors were determined. Findings Utilization of the proposed DST was found to improve the casualty transportation and coordination performance. All main effects of the design factors were found statistically significant for the number of unrecoverable casualties. Besides, for the Time spent Until Arrival of T1-Type Casualty at the Hospital, all of the main factors are significant except the number of ambulances. Respiratory rate, pulse rate, motor response score priority and hospital selection rule based on available hospital capacities must be considered to reduce the number of unrecoverable casualties and time spent until arrival of the casualties at the hospitals. Originality/value In this study, the factors that significantly affect the performance of the casualty transportation system were revealed, by simulation and statistical analysis, based on an expected earthquake case, in a metropolitan city. Besides, it was shown that using a data-driven DST that tracks victims and intends to support disaster coordination centers and medical staff performing casualty transportation significantly improves survival rate of the victims and time to deliver the casualties. This research considers the whole systems’ components, contributes to developing the response stage operations by filling gaps between using the data-driven DST and casualty transportation processes.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

Statistical analysis related to fetal heart rate patterns

1979 ◽  
Vol 135 (1) ◽  
pp. 168
Author(s):  
H. William Perlis ◽  
John F. Huddleston
Keyword(s):  
Heart Rate ◽  
Statistical Analysis ◽  
Fetal Heart Rate ◽  
Fetal Heart

Intraindividual Variability in Development Within and Between Individuals

2001 ◽  
Vol 6 (3) ◽  
pp. 187-193 ◽  
Author(s):  
John R. Nesselroade
Keyword(s):  
Statistical Analysis ◽  
Research Design ◽  
Intraindividual Variability ◽  
Factor Analytic

A focus on the study of development and other kinds of changes in the whole individual has been one of the hallmarks of research by Magnusson and his colleagues. A number of different approaches emphasize this individual focus in their respective ways. This presentation focuses on intraindividual variability stemming from Cattell's P-technique factor analytic proposals, making several refinements to make it more tractable from a research design standpoint and more appropriate from a statistical analysis perspective. The associated methods make it possible to study intraindividual variability both within and between individuals. An empirical example is used to illustrate the procedure.

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