Two Stages Statistical Fault Analysis Method for Midori and Its Evaluation

2018 ◽  
Vol 101 (5) ◽  
pp. 3-11
Author(s):  
YUSUKE NOZAKI ◽  
YOSHIYA IKEZAKI ◽  
MASAYA YOSHIKAWA
2021 ◽  
Author(s):  
J. Deng ◽  
S. Liang ◽  
L. Z. Zhu ◽  
L. Yao ◽  
F. Duan ◽  
...  

Author(s):  
Xuecen Zhang ◽  
Qiang Liu ◽  
Yi Tang ◽  
Guofeng Liu ◽  
Xin Ning ◽  
...  

2017 ◽  
Vol 13 (1) ◽  
Author(s):  
Oliver George Stevenson ◽  
Brendon J. Brewer

AbstractCricketing knowledge tells us batting is more difficult early in a player’s innings but becomes easier as a player familiarizes themselves with the conditions. In this paper, we develop a Bayesian survival analysis method to predict the Test Match batting abilities for international cricketers. The model is applied in two stages, firstly to individual players, allowing us to quantify players’ initial and equilibrium batting abilities, and the rate of transition between the two. This is followed by implementing the model using a hierarchical structure, providing us with more general inference concerning a selected group of opening batsmen from New Zealand. The results indicate most players begin their innings playing with between only a quarter and half of their potential batting ability. Using the hierarchical structure we are able to make predictions for the batting abilities of the next opening batsman to debut for New Zealand. Additionally, we compare and identify players who excel in the role of opening the batting, which has practical implications in terms of batting order and team selection policy.


2020 ◽  
Vol 12 (19) ◽  
pp. 3163 ◽  
Author(s):  
Wei Ding ◽  
Jidong Wu

Due to the complexity of airport background and runway structure, the performances of most runway extraction methods are limited. Furthermore, at present, the military fields attach greater importance to semantic changes of some objects in the airport, but few studies have been done on this subject. To address these issues, this paper proposes an accurate runway change analysis method, which comprises two stages: airport runway extraction and runway change analysis. For the former stage, some airport knowledge, such as chevron markings and runway edge markings, are first applied in combination with multiple features of runways to improve the accuracy. In addition, the proposed method can accomplish airport runway extraction automatically. For the latter, semantic information and vector results of runway changes can be obtained simultaneously by comparing bi-temporal runway extraction results. In six test images with about 0.5-m spatial resolution, the average completeness of runway extraction is nearly 100%, and the average quality is nearly 89%. In addition, the final experiment using two sets of bi-temporal very high-resolution (VHR) images of runway changes demonstrated that semantic results obtained by our method are consistent with the real situation and the final accuracy is over 80%. Overall, the airport knowledge, especially chevron markings for runways and runway edge markings, are critical to runway recognition/detection, and multiple features of runways, such as shape and parallel line features, can further improve the completeness and accuracy of runway extraction. Finally, a small step has been taken in the study of runway semantic changes, which cannot be accomplished by change detection alone.


2015 ◽  
Vol 119 ◽  
pp. 119-125 ◽  
Author(s):  
Ailson P. Moura ◽  
J.A. Peças Lopes ◽  
Adriano A.F. de Moura ◽  
Jean Sumaili ◽  
C.L. Moreira

Author(s):  
Duong Minh Bui

Abstract Fault currents inside a grid-connected AC microgrid are significantly varied because fault current contributions of the main grid and DG units are different from each other due to various fault locations, fault types, and high penetration of inverter-based distributed generators (IBDGs) and rotating-based distributed generators (RBDGs). A traditional fault-analysis method cannot be sufficiently applicable for AC microgrids with the presence of both rotating-based distributed generators and inverter-based distributed generators. From the above viewpoint, this paper proposes a simplified and automated fault-current calculation approach for grid-connected AC microgrids to quickly and accurately calculate fault-current contributions from IBDGs and RBDGs as well as the grid fault-current contribution to any faulted microgrid sections. The simplified and automated fault-current calculation approach is mainly focused on grid-connected and small-sized low-voltage AC microgrids with the support of communication system. Under the grid-connected microgrid operation mode, fault-tripping current-thresholds of adaptive overcurrent relays are properly adjusted thanks to the proposed fault analysis method. Relying on fault-current distribution-coefficients of IBDGs, RBDGs, and the utility grid, the setting values of adaptive overcurrent relays in a low-voltage AC microgrid are effectively self-adjusted according to various microgrid configurations and the operation status of DG units during the grid-connected mode.


2021 ◽  
Vol 3 (6) ◽  
pp. 104-109
Author(s):  
Wahyu Santoso ◽  
Teguh Soedarto ◽  
Hamidah Hendrarini

Information in agriculture has an important role for farmers in efforts to improve their farming activities. Some empirical research on the use of WhatsApp as a medium for disseminating information among farmers is still limited even though farmers have used it. This study explores the use of WhatsApp in strengthening agricultural information for mango farmers in Pasuruan Regency. The data analysis method used consists of two stages, the first is Crosstab, the second stage is measuring the association is Chi-Square using IBM SPSS Ver software. 23. The results of the analysis show that the age of the respondent is the only factor that is stated to have no relationship with agricultural information via WhatsApp. While other factors forming individual characteristics, namely education, length of time using HP, and length of farming have a relationship with agricultural information via WhatsApp. The four factors that make up the accessibility of information consist of completeness of features, icons/images that are easy to remember & find, ease of navigation and attractive appearance/interface, all of which are stated to have a relationship with agricultural information via WhatsApp. In addition, the research findings provide an interesting picture, namely sending and downloading agricultural info videos is the only media literacy factor that is stated to have no relationship with agricultural information via WhatsApp. Meanwhile, other factors forming Media Literacy, namely Sending messages/chats and calls, Time to find Information and Discussions on WA Group have a relationship with agricultural information via WhatsApp.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Zhu Huang ◽  
Tao Wang ◽  
Wei Liu ◽  
Luis Valencia-Cabrera ◽  
Mario J. Pérez-Jiménez ◽  
...  

The fault prediction and abductive fault diagnosis of three-phase induction motors are of great importance for improving their working safety, reliability, and economy; however, it is difficult to succeed in solving these issues. This paper proposes a fault analysis method of motors based on modified fuzzy reasoning spiking neural P systems with real numbers (rMFRSNPSs) for fault prediction and abductive fault diagnosis. To achieve this goal, fault fuzzy production rules of three-phase induction motors are first proposed. Then, the rMFRSNPS is presented to model the rules, which provides an intuitive way for modelling the motors. Moreover, to realize the parallel data computing and information reasoning in the fault prediction and diagnosis process, three reasoning algorithms for the rMFRSNPS are proposed: the pulse value reasoning algorithm, the forward fault prediction reasoning algorithm, and the backward abductive fault diagnosis reasoning algorithm. Finally, some case studies are given, in order to verify the feasibility and effectiveness of the proposed method.


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