On probabilistic modeling and feasibility of collision between a randomly moving meteor and satellite

Teamah, Abd El-Moneim A. M.; El–Hadidy, Mohamed Abd Allah

doi:10.1007/s13370-018-0591-3

Cited by 14 publications

(3 citation statements)

References 19 publications

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“…They formulated a search model and found the conditions that make this search strategy finite. For more interesting search strategies that find the randomly moving target, see El-Hadidy et al [14][15][16][17][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37]. In this paper, we extend the theory of the coordinated search to n-regions by using n-searchers.…”

Section: Introductionmentioning

confidence: 97%

On Probabilistic Cooperative Search Model to Detect a Lost Target in N-Disjoint Areas

El-Hadidy,

Fakharany

2024

Stat., optim. inf. comput.

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This paper presents a new probabilistic coordinated search technique for finding a randomly located target in n-disjoint known regions by using n-searchers. Each region contains one searcher. The searchers use advanced technology to communicate with each other. The purpose of this paper is to obtain the candidate utility function namely the expected value of the time for detecting the target. Additionally, to minimize this expected value given a restricted amount of time. We present a special case when the target has a multinomial distribution. This important for searching about a valuable target missing at sea or lost at wilderness area.

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Section: Introductionmentioning

confidence: 97%

On Probabilistic Cooperative Search Model to Detect a Lost Target in N-Disjoint Areas

El-Hadidy,

Fakharany

2024

Stat., optim. inf. comput.

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“…14,15 Many studies have presented different search techniques on the plan and space, such as El-Hadidy et al. [16][17][18][19][20][21][22][23][40][41] For more recent and interesting search plans, see El-Hadidy et al. [24][25][26] All these studies have aimed to detect the lost targets with minimum cost and maximum probability.…”

Section: Introductionmentioning

confidence: 99%

Detection of an appropriate pharmaceutical company to get a suitable vaccine against COVID‐19 with minimum cost under the quality control process

El–Hadidy

Alfreedi

2021

Quality & Reliability Eng

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Some international pharmaceutical companies have succeeded in producing vaccines against COVID-19. Countries all over the world have aimed to obtain these vaccines with minimum cost. We consider a set of K-independent Markovian waiting lists. Each list contains a set of countries, where each one of them has an exponential service time and a Poisson arrival process. These companies differ in some characteristics such as the vaccine production cost and the speed of the required quantity delivery. We present a new detection model that helps in providing an appropriate decision to choose a suitable company. Moreover, the concept of balking and the retention of reneged countries is taken into consideration under the quality control process of each waiting list. Under steady state, we face an interesting and difficult discrete stochastic optimization problem. Its solution gives an optimal distribution of the searching effort, which is bounded by a known probability distribution. A simulation study has been derived to get the minimum value of the paid cost random values. The highest service rate, the total expected profit of each queuing system, and the optimum performance measures, which depend on this cost, have been obtained to show the effectiveness of this model.

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“…Many authors have been succeeded to apply the idea of the cooperative techniques on the plane and space, see [22-27, 41, 42]. The readers can find different techniques and models to detect the lost target in [28][29][30][31][32][33][34][35][36]. The main purpose of these different techniques is finding the target in minimum cost and with maximum probability.…”

Section: Introductionmentioning

confidence: 99%

Optimal Multi Zones Search Technique to Detect a Lost Target by Using K Sensors

El–Hadidy¹,

Abou-Gabal²,

Gabr³

2021

Stat., optim. inf. comput.

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This paper presents the discrete search technique on multi zones to detect a lost target by using sensors. The search region is divided into zones. These zones contain an equal number of states (cells) not necessarily identical. Each zone has a one sensor to detect the target. The target moves over the cells according to a random process. We consider the searching effort as a random variable with a known probability distribution. The detection function with the discounted reward function in a certain state and time interval are given. The optimal effort distribution that minimizes the probability of undetection is obtained after solving a discrete stochastic optimization problem. An algorithm is constructed to obtain the optimal solution as in the numerical application.

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On probabilistic modeling and feasibility of collision between a randomly moving meteor and satellite

Cited by 14 publications

References 19 publications

On Probabilistic Cooperative Search Model to Detect a Lost Target in N-Disjoint Areas

On Probabilistic Cooperative Search Model to Detect a Lost Target in N-Disjoint Areas

Detection of an appropriate pharmaceutical company to get a suitable vaccine against COVID‐19 with minimum cost under the quality control process

Optimal Multi Zones Search Technique to Detect a Lost Target by Using K Sensors

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