A Simplified Simulation Method for Flood-Induced Bend Scour—A Case Study Near the Shuideliaw Embankment on the Cho-Shui River

AbstractMultiple trait introgression is the process by which multiple desirable traits are converted from a donor to a recipient cultivar through backcrossing and selfing. The goal of this procedure is to recover all the attributes of the recipient cultivar, with the addition of the specified desirable traits. A crucial step in this process is the selection of parents to form new crosses. In this study, we propose a new selection approach that estimates the genetic distribution of the progeny of backcrosses after multiple generations using information of recombination events. Our objective is to select the most promising individuals for further backcrossing or selfing. To demonstrate the effectiveness of the proposed method, a case study has been conducted using maize data where our method is compared with state-of-the-art approaches. Simulation results suggest that the proposed method, look-ahead Monte Carlo, achieves higher probability of success than existing approaches. Our proposed selection method can assist breeders to efficiently design trait introgression projects.

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Traffic queue modeling using arena simulation software (a case study of Mergan 4-Way intersection in Malang City)

MATEC Web of Conferences ◽

10.1051/matecconf/201820402009 ◽

2018 ◽

Vol 204 ◽

pp. 02009 ◽

Cited By ~ 1

Author(s):

Dani Yuniawan ◽

P.P Aang Fajar ◽

Samsudin Hariyanto ◽

Romi Setiawan

Keyword(s):

Flow System ◽

Simulation Method ◽

Simulation Software ◽

Verification And Validation ◽

Scenario Simulation ◽

Traffic Light ◽

Simulation Scenario ◽

Research Outcome ◽

Arena Simulation

Currently Mergan 4-way intersection is one of intersection that have most traffic dense in Malang City, East Java - Indonesia. This research implement simulation method in order to give several solution option to manage the traffic queue in Mergan 4-way intersection. Simulation method is conducted with several phase, from problem identification up to verification and validation also scenario simulation. Arena Simulation software v.14 is chosen as the tool to modeling the traffic queue line. The research outcome give several solution through Traffic Light 2 simulation scenario. With this simulation scenario, the traffic flow system simulation can be run with fewer queues of vehicles.

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Quantitative assessment of ecological operation effects based on flood pulses and ecology-economic coupling model: a case study of Three Gorges Reservoir, China

Water Science & Technology Water Supply ◽

10.2166/ws.2021.306 ◽

2021 ◽

Author(s):

Jiqing Li ◽

Jing Huang ◽

Zhiming Xue ◽

Pengteng Liang ◽

Yueqiu Wu

Keyword(s):

Three Gorges Reservoir ◽

Simulation Method ◽

Coupling Model ◽

Flood Pulse ◽

Ecological Impacts ◽

Three Gorges ◽

River Ecosystem ◽

Random Simulation ◽

Flood Pulses

Abstract Flood pulses are closely related to river ecosystem health. Reservoirs bring many benefits to flood control, power generation, shipping etc., but their attenuation effects on runoff flood pulses should not be ignored. Ecological operation can effectively reduce some negative ecological impacts brought by the reservoir. However, the inability to quantitatively assess ecological effects hinders the promotion of ecological operation in reservoir management. To solve this problem, we proposed 11 flood pulse indicators (FPI), a random simulation method and an ecology-economy coupling model in this study. In addition, we used four major Chinese carps as indicator species and the Three Gorges Reservoir as a case study to test the role of flood pulses in improving the ecological operation effects of the reservoir from the fish protection perspective. The results show that: (1) FPI can be controlled by the reservoir and reflect the flood pulse characteristics of runoff. (2) Random simulation method guides managers to optimize the discharge and formulate eco-friendly operation schemes. (3) Ecology-economy coupling model helps managers analyze the relationship between ecological operation effects and economic benefits. A comprehensive assessment can improve the acceptance of ecological operation, which is conducive to the sustainable development of river ecosystem.

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The Impact of Young Entrepreneurs’ Network Entrepreneurship Education and Management System Innovation on Students’ Entrepreneurial Psychology

Frontiers in Psychology ◽

10.3389/fpsyg.2021.731317 ◽

2021 ◽

Vol 12 ◽

Author(s):

Zeyu Wang ◽

Run Tang ◽

Xin Cheng

Keyword(s):

Teaching Methods ◽

Teaching Method ◽

Entrepreneurship Education ◽

Simulation Method ◽

Professional Status ◽

Traditional Teaching ◽

Case Study Method ◽

Scene Simulation ◽

Test Result

The purpose of the study is to solve the problems existing in entrepreneurship education and management under computer technology. The teaching content of entrepreneurship education in colleges and universities is proposed. Since entrepreneurship education is practical, the auxiliary mechanism of entrepreneurship education also needs to be highly integrated with entrepreneurship practice. First, the network entrepreneurship teaching and management system is constructed, and students’ entrepreneurial creativity, communication ability, leadership ability, and qualities are taken as the research object. Second, the traditional teaching method, case study method, and scene simulation method are used to analyze and discuss the influence of the entrepreneurial teaching mode, entrepreneurial experience, and entrepreneurial ability on students’ entrepreneurial psychology. Finally, the questionnaire survey is used to conduct the relative sample t-test (Student’s t-test), and the influence of three teaching methods on students’ learning effects is analyzed. The influence of the three teaching methods on students’ entrepreneurial psychological states is further analyzed by the statistical method. The experimental results show that the test result of the scene simulation method and the traditional teaching method is 0.584, the test result of the scene simulation method and the case study method is 0.842, and the test result of the case study method and the traditional teaching method is 0.595. This shows that the scene simulation method has a significant impact on students’ entrepreneurial psychology and their entrepreneurial ability. In addition, students’ cognition of professional status significantly affects their entrepreneurial psychology and attitudes, and the correlation coefficient is 0.576. Therefore, it is suggested that colleges and universities should adopt the scene simulation method to improve the teaching quality of entrepreneurship education and strengthen students’ cognition of professional status and their entrepreneurial practice.

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Interpreting Traditional Cost Contingency Methods in the Construction Industry

10.26686/wgtn.14984772 ◽

2021 ◽

Author(s):

Michael Donn ◽

Alexis Dykman ◽

Nilesh Bakshi

Keyword(s):

Construction Industry ◽

Construction Projects ◽

Reliable Method ◽

Current Practice ◽

Simulation Method ◽

Future Research ◽

Building Industry ◽

Simulation Methods ◽

Journal Paper

This research investigates how contingency is currently calculated in project budgets within the building industry. This is an important aspect to consider as a large proportion of construction projects are significantly over-budget. The study presents three non-simulation methods and one simulation method for calculating cost contingency following the results of a forthcoming journal paper. These methods are applied against a case study project in attempt to highlight the most reliable method, and to create a methodology that will be useful to the industry. This paper identifies that the traditional fixed percentage approach is not sufficient and suggests that this could be one of the main reasons why construction projects are over budget. While it is unclear which method is the most reliable, this study provides a focus for future research into reliability and utilisation of contingency methods in the building industry. The research demonstrates that current practice needs to change to reduce the large number of construction projects that run over budget.

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Monte Carlo Simulation for Economic Analysis of Hydropower Pumped Storage Project in Nepal

Hydro Nepal Journal of Water Energy and Environment ◽

10.3126/hn.v12i0.9031 ◽

2013 ◽

Vol 12 ◽

pp. 39-44 ◽

Cited By ~ 1

Author(s):

Kaspar Vereide ◽

Leif Lia ◽

Laras Ødegård

Keyword(s):

Monte Carlo ◽

Economic Analysis ◽

Net Present Value ◽

Simulation Method ◽

Construction Costs ◽

Energy And Environment ◽

Pumped Storage ◽

High Degree ◽

Mc Method

Investments in hydropower pumped storage projects (PSP) are subjected to a high degree of uncertainty. In addition to normal uncertainties in hydropower schemes, the profit of a pumped storage scheme is dependent on the margin between power prices for buying and selling, which is difficult to predict without a power purchase agreement (PPA). A PSP without a PPA and without known construction costs requires quantification of the uncertainties in order to make qualified decisions before investing in such projects. This article demonstrates the advantages of using Monte Carlo (MC) simulations as a tool in the economic analysis of PSPs. The method has been tested on a case study, namely the Tamakoshi-3 Hydropower Project (HPP) in Nepal. The MC method is used to calculate the probability distribution of the net present value of installing reversible units in the Tamakoshi-3 HPP. The calculations show that PSPs may be profitable in Nepal, given a beneficial development of the power market. The MC method is considered to be a useful tool for economic analysis of PSPs. In this case study of installing reversible units in the Tamakoshi-3 HPP, there are many uncertainties, which the MC simulation method is able to quantify. Hydro Nepal; Journal of Water, Energy and Environment Vol. 12, 2013, January Page: 39-44DOI: http://dx.doi.org/10.3126/hn.v12i0.9031 Uploaded Date : 10/29/2013

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Towards a Digital Twin for Cloud Manufacturing: Case Study

Volume 2: Advanced Manufacturing ◽

10.1115/imece2018-87688 ◽

2018 ◽

Author(s):

Diane Ngo ◽

David A. Guerra-Zubiaga ◽

Germánico González-Badillo ◽

Reza Vatankhah Barenji

Keyword(s):

Real Life ◽

Simulation Method ◽

Cloud Manufacturing ◽

Conveyor Belt ◽

Life Change ◽

Simulation Methods ◽

Manufacturing Cell ◽

Digital Twins ◽

Resources And Capabilities

Cloud manufacturing (CMfg) is a new manufacturing paradigm designed to enable manufacturing enterprise to share their resources and capabilities. Prior to any real-life change in the system, for CMfg it is important to anticipate and optimize the response of the system through simulation. Digital Twins (DT) is a simulation method for this paradigm that is different from existing simulation methods in two ways. It is a virtual copy of the system containing all the components and can connect to the controller in real time. The goal of this work is to develop a DT for an educational manufacturing cell. The educational manufacturing cell is a FESTO Reconfigurable Mechatronics System (RMS). The cell has four stations that uses pallets to transport the product on the conveyor belt and assembles a part of the product. The Siemens Process Simulate: TECNOMATIX, was used to create the DT of the system. The system is modeled in a CAD program and then imported into TECNOMATIX Process Simulate, where it is programmed to replicate the processes.

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Research on the Optimal Configuration of Regional Integrated Energy System Based on Production Simulation

Processes ◽

10.3390/pr8080892 ◽

2020 ◽

Vol 8 (8) ◽

pp. 892 ◽

Cited By ~ 1

Author(s):

Tao Shi ◽

Ruan-Ming Huang ◽

Cang-Bi Ding

Keyword(s):

Simulation Method ◽

Energy System ◽

Quantitative Model ◽

Optimal Configuration ◽

Power Characteristics ◽

Load Demand ◽

Integrated Energy System ◽

Output Characteristics ◽

System Configurations

This paper is focused mainly on the production simulation method of a regional integrated energy system under random scenarios for optimal configuration. First, the cooling, heating, and electric load demand of the regional integrated energy system is described quantitatively in the form of time series, as well as the power characteristics of renewable energy, such as wind power and photovoltaic power generation. Then, a typical scenario set of regional integrated energy system configurations considering the random probability characteristics is established through scene clustering. Second, considering the power output characteristics and cost factors of different types of distributed energy, the corresponding technical and economic quantitative model is established. Third, a multi-objective production simulation model of a regional integrated energy system considering configuration constraints and operation constraints is proposed with economic and environmental protection as the main objectives. Finally, the accuracy and effectiveness of the above methods are verified based on a case study of actual engineering.

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