Optimal Whereabouts Search Plan Minimizing the Expected Risk

Author(s):  
Kōji Iida
Keyword(s):  
2019 ◽  
Vol 12 (06) ◽  
pp. 1950064 ◽  
Author(s):  
Mohamed Abd Allah El-Hadidy ◽  
Hamdy M. Abou-Gabal

In this paper, we present a complex cooperative search technique for finding the Random Walking microorganism cells on one of [Formula: see text]-intersect real lines at the origin. We have 2[Formula: see text] unit speed searchers starting together from the origin. Furthermore, proving the existence of a finite search plan, we are discussing the existence of optimality for this search plan which minimizes the expected value of the first meeting time between one of the searchers and the microorganism cells.


2021 ◽  
Vol 13 (5) ◽  
pp. 210-213
Author(s):  
Matt Holland ◽  
Michelle Dutton ◽  
Steve Glover

This article explains how to write an effective search plan using simple steps. The article takes you through the tools and techniques that are widely used in major bibliographic databases such as MEDLINE and CINAHL to conduct searches. These include Boolean logic, truncation and wildcards, in-field searching, proximity operators, limits and subject thesauri. Each process is illustrated with an example to help you apply them to your own searches. The process of using these tools and techniques to either narrow (find fewer results) or broaden (find more results) is described and summarised in an easy-to-use table.


Author(s):  
Mohamed Abd Allah El-Hadidy ◽  
Alaa A. Alzulaibani

This paper assumes that the particle jumps randomly (Guassian jumps) from one point to another along one of the imaginary lines inside the interactive medium. Since this study was done in the space, we consider that the position of the particle at any time [Formula: see text] has a multivariate distribution. The random waiting time of the particle for each Gaussian jump depends on its length. An identical set of programed nanosensors (with unit speed) were used to track this particle. Each line has a sensor that starts the tracking process from the origin. The existence of the necessary conditions which give the optimal search plan and the minimum expected value of the particle detection has been proven. This study is supported by a numerical example.


2015 ◽  
Vol 22 (4) ◽  
pp. 454 ◽  
Author(s):  
Mohamed Abd Allah El Hadidy
Keyword(s):  

Author(s):  
Luyao Zhu ◽  
Wenxi Hao ◽  
Zhiwei Zhu
Keyword(s):  

Author(s):  
Deden Novan Setiawan Nugraha

Cultural heritage is a legacy of the past reflect the identity of a group ethnic or nation. Cultural heritage contains not only traditional values but also belief systems. One of intangible cultural heritage is Suluk Wujil. Suluk Wujil begins with the journey of a young man named Wujil who tries to find information about the chosen religion to the deepest secret. During the ten years of his journey, Wujil has not found the true truth about the nature of divinity and the meaning of his existence in the universe even though he has studied various kinds of science and knowledge. This research is in the form of qualitative descriptive with Roland Barthes's semiotics as the main instrument for analyzing data. The identified sign system is interpreted in two stages of significance (language level and myth level). Oriented to the core myths of Sufism, the illustrated rules of Makrifatullah are divided into four categories; the introduction stage (a human being must escape in understanding one's own authenticity in order to reach the highest epistemology in the universe,, search plan (the depth of the heart of a human being is a sacred place where divine nature is buried as the greatest secret (sirru sirr), the practice of reaching Makrifatullah must be totality and continuity through words (qouli), deeds (fi'li), mind (aqli), and heart (qolbu), and reflection of application (awareness of tolerance among fellow creatures (habluminannas) as the result of perfect understanding of the reality of divinity (habluminallah).


2018 ◽  
Vol 31 (3) ◽  
pp. 368 ◽  
Author(s):  
Mohamed Abd Allah El Hadidy
Keyword(s):  

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