An Efficient Python Approach for Simulation of Poisson Distribution

Sharma, Dilip Kumar; Singh, Bhopendra; Raja, M. Mohan; Regin, R.; Rajest, S. Suman

doi:10.1109/icaccs51430.2021.9441895

Cited by 43 publications

(3 citation statements)

References 7 publications

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“…Additionally, waste shipments X to WtE centers, if needed, are proportional to the number of centers and their capacities, with this probability being influenced by the travel desirability between the nodes [27,29]. Since each output from the industrial centers for waste generation are randomly sent to WtE centers, the entry process with regards to the WtE centers will also be Poisson ratios [30]. If the total recovery rate at each WtE center is considered as an average S k , the recovery time at these centers is also governed by an exponential distribution.…”

Section: Methodsmentioning

confidence: 99%

Sustainable Multi-Objective Models for Waste-to-Energy and Waste Separation Site Selection

Taghipour,

Foukolaei,

Ghaedi

et al. 2023

Sustainability

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In the past, the Iranian government has excessively relied on fossil fuels, gas, and oil resources, leading to energy-related issues and increasing power outages in the provinces during peak seasons. One of the best opportunities for energy production in Iran is through the establishment of bio-methane and waste-based energy parks. This research aims to determine the optimal locations for waste sorting centers and the establishment of waste-to-energy plants. The coexistence and interaction of these two facilities will enhance system efficiency. To achieve this goal, two mathematical models, with three objectives, have been designed. The static allocation model assigns each industrial park to a waste sorting center, while the dynamic allocation model selects the shortest route from the industrial park to the waste-to-energy center. The first objective is to minimize establishment costs, while the second and third objectives aim to reduce the system’s waiting costs. Waiting for waste shipments leads to pollution, and the desirability and route length can increase the likelihood of organic pollution. Therefore, this research seeks to minimize these factors. The model results indicate that the sorting and energy production centers have been selected to incur the lowest establishment, transportation, and waiting costs. Additionally, the sensitivity analysis section of the model reveals the impact of coefficient changes on the model’s results.

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Section: Methodsmentioning

confidence: 99%

Sustainable Multi-Objective Models for Waste-to-Energy and Waste Separation Site Selection

Taghipour,

Foukolaei,

Ghaedi

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…A blend of discrete wavelet transformation (DWT) and empiric mode decay (EMD) is utilized within the proposed strategy to test blame location in transmission lines [56][57][58][59][60][61]. Big Data (BD), with its capability to determine esteemed experiences for an upgraded dynamic cycle, has as of late drawn in significant interest from scholastics and specialists [62].…”

Section: Proposed Systemmentioning

confidence: 99%

Smart Technology Based Empirical Mode Decomposition (EMD) Approach for Autonomous Transmission Line Fault Detection Protection

Al-Zubaydi

2022

EAI Endorsed Trans Energy Web

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Many novel technologies of property energy and cell, solar power, batteries, and high-efficient combustion are widely investigated to conserve energy and reduce emissions. Transmission lines (TLs) play a serious role in transmitting generated electricity to different distribution units in facility engineering. The transmission lines function as a link between shoppers and a Power Station. Faults usually occur within the transmission when positioned in an open field. Quick identification and sick line faults square measures required for the conventional operation of the plant. A way like distinct moving ridge rework (DWT) and (EMD) is used to locate and identify faults to resolve this disruption. DWT is used to break down fault transients, as a result of which the info can be collected at the same time in each time and frequency domain. EMD decomposes the TLs voltage into Intrinsic Mode operation (IMFs). Four varieties of fault signals are square measurements produced by the grid-connected facility. Line faults square measure induced MATLAB/Simulink mistreatment.

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“…For this test method, the Poisson distribution is needed in calculating probability. The Poisson distribution is a discrete probability distribution that is used as a model for count data, such as the number of traffic accidents or the number of phone calls received within a given time span [9]. The third method is XYZsoft's new testing method.…”

Section: Introductionmentioning

confidence: 99%

Comparing Test Methods in ABCtronics: An Example of Global Urban Air Quality Result Testing

Zhou

2023

AEMPS

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This article explores the importance of the methods in quality control in the semiconductor industry. Three test methods in ABC tronics, a semiconductor company from Case-ABCtronics: Manufacturing, Quality Control, and Client Interfaces, will be used to test the data comes from an air quality database available on Kaggle. These data initially taken from Numbeo as an aggregation of user voting. The results of the three different methods are analyzed to draw their respective conclusion, that is whether the investigation report will be accepted or not. In the comparison of three methods, the new testing method is more likely to reject the entire result, and individual chip testing method is a most recommended test method with several advantages. The article emphasizes the usefulness of the findings for other manufacturers in the industry who are looking to improve their quality control measures and maintain high standards of product quality.

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An Efficient Python Approach for Simulation of Poisson Distribution

Cited by 43 publications

References 7 publications

Sustainable Multi-Objective Models for Waste-to-Energy and Waste Separation Site Selection

Sustainable Multi-Objective Models for Waste-to-Energy and Waste Separation Site Selection

Smart Technology Based Empirical Mode Decomposition (EMD) Approach for Autonomous Transmission Line Fault Detection Protection

Comparing Test Methods in ABCtronics: An Example of Global Urban Air Quality Result Testing

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