Research on service level analysis method of container terminal’s logistics system based on fractal self-similarity theory

Author(s):  
Lifen Zhang ◽  
Qiang Zhou ◽  
Yuan Zhang ◽  
Xinyu Liao
Author(s):  
Gianmario Motta ◽  
Giovanni Pignatelli ◽  
Thiago Barroero ◽  
Antonella Longo

2021 ◽  
Vol 25 (1) ◽  
pp. 49-55
Author(s):  
Yiying Xiong

In view of the inaccuracy of the traditional correlation analysis method, this paper proposes a correlation analysis method between the multifractal characteristics of regional landforms and the development of geological disasters. Firstly, the multifractal characteristics of regional landforms are described by using the basic fractal characteristics of self-similarity or scale invariance. Then the corresponding relation table is established according to the width of the fractal spectrum and the number of landslides and hidden dangers, and the spatial relationship of geological disaster development is analyzed. Combined with the above-mentioned spatial relationship of geological disaster development and the multifractal characteristic data of regional landforms, the correlation coefficient between the two is calculated to complete the correlation analysis between the multifractal characteristics of regional geomorphology and the development of geological disasters. The experimental results show that compared with the traditional correlation analysis method, the correlation analysis results of the multifractal characteristics of regional geomorphology and the development of geological disasters are more accurate.


2020 ◽  
Vol 6 ◽  
pp. 1097-1105 ◽  
Author(s):  
Qinglin Cheng ◽  
Zhidong Li ◽  
Daming Song ◽  
Wei Gao ◽  
Hao Wu ◽  
...  

2016 ◽  
Vol 26 (04) ◽  
pp. 1650065 ◽  
Author(s):  
Mahsa Vaghefi ◽  
Ali Motie Nasrabadi ◽  
Seyed Mohammad Reza Hashemi Golpayegani ◽  
Mohammad Reza Mohammadi ◽  
Shahriar Gharibzadeh

Detrended Fluctuation Analysis (DFA) is a scaling analysis method that can identify intrinsic self-similarity in any nonstationary time series. In contrast, Wavelet Transform (WT) method is widely used to investigate the self-similar processes, as the self-similarity properties exist within the subbands. Therefore, a combination of these two approaches, DFA and WPT, is promising for rigorous investigation of such a system. In this paper a new methodology, so-called wavelet DFA, is introduced and interpreted to evaluate this idea. This approach, further than identifying self-similarity properties, enable us to detect and capture the chaos-periodic transitions, band merging, and internal crisis in systems that become chaotic through period-doubling phenomena. Changes of wavelet DFA exponent have been compared with that of Lyapunov and DFA through Logistic, Sine, Gaussian, Cubic, and Quartic Maps. Furthermore, the potential capabilities of this new exponent have been presented.


2018 ◽  
Vol 1 (01) ◽  
pp. 25
Author(s):  
Rizki Ahmad Fauzi

This research aims to identify a chain of network services that should have to be improved considering to the level of needs and customer service satisfaction. Understanding about the services conditions based on the level of its needs and customer satisfaction requirements, then the company is able to perform the priority of its improvement. This research has identified the sampling taken from ABC’s customers and have implemented the Important Performance Analysis Method. Several factors have been evaluated are as follows: Stable network (non intermitten); Network which has never had problems.; Network which has never had repeated problems;Speed of accessible network is in compliance with the contract.; Data application runs well; Sound/voice application is good;Internet application runs well; Service Level Ability is in compliance with the contract and Guarantee coverage is in compliance with the agreement. Having had research of the aforementioned factors, there are three factors need to be improved as the priority; stable network, network which has never had problem, and network which has never had repeated problem.


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