نتایج جستجو برای: unknown environment

تعداد نتایج: 716358  

2015
Nidhi Agarwal

Wireless sensor network consists of a large number of sensor nodes. Determining the actual position of each sensor node is thus difficult. Finding the exact position of each sensor forms the basis of localization. Localization in wireless sensor network refers to finding position of unknown nodes based on position of known nodes known as anchors or reference nodes. This paper propose centroid l...

Journal: :J. Artif. Intell. Res. 2015
Athirai Aravazhi Irissappane Jie Zhang

The performance of trust models highly depend on the characteristics of the environments where they are applied. Thus, it becomes challenging to choose a suitable trust model for a given e-marketplace environment, especially when ground truth about the agent (buyer and seller) behavior is unknown (called unknown environment). We propose a case-based reasoning framework to choose suitable trust ...

Journal: :JACIII 2008
Gim Hee Lee Marcelo H. Ang

Global path planning algorithms are good in planning an optimal path in a known environment, but would fail in an unknown environment and when reacting to dynamic and unforeseen obstacles. Conversely, local navigation algorithms perform well in reacting to dynamic and unforeseen obstacles but are susceptible to local minima failures. A hybrid integration of both the global path planning and loc...

Journal: :iranian journal of public health 0
m habibi roudknar h najmabadi p derakhshandeh dd farhud

beta-thalassemia, by its high frequency and heterogenecity, constitues a real problem of health in iran. aboute 13 beta globin mutations encompass 70-90% of mutations spectrum in iran, the rest are rare or unknown. in this study six mutations of the codon ivsi-130(g-c), fr16 (-c), codon35 (-c), fr23/24(-g), codon8 (+g) and codon 20 (gtg-gag) were recognized and added to spectrom of beta globin ...

2015
Jiansheng Peng

For path planning of mobile robot, the traditional Q learning algorithm easy to fall into local optimum, slow convergence etc. issues, this paper proposes a new greedy strategy, multi-target searching of Q learning algorithm. Don't need to create the environment model, the mobile robot from a single-target searching transform into multitarget searching an unknown environment, firstly, by the dy...

Journal: :British Dental Journal 2020

Journal: :Frontiers in Ecology and the Environment 2023

Eighteen years ago, my wife and I bought a little “get-away” house in village overlooking the sea southern Spain. So wrapped up were we all things to fix paint that never paid much attention creamy-white, pumpkin-seed–shaped “things” dangling from ceiling walls – which any event soon disappeared whirlwind of enthusiastic vacuuming unleashed. There were, however, always more these creatures wait...

Journal: : 2023

The article is devoted to the problem of reactive navigation a mobile robot with limited information about environment. An algorithm for finding path from source target minimum number turns described. idea based on bug family algorithms navigation. remembers boundaries obstacles and calculates angle rotation depending surrounding situation. difference that does not move “along obstacle”, but on...

Journal: :J. Discrete Algorithms 2012
Paul S. Haynes Lyuba Alboul Jacques Penders

A novel graph-based approach to search within unknown environments is presented. A virtual geometric structure is imposed upon the environment represented in memory by a graph. Algorithms use this representation to coordinate a team of robots (or entities). Local discovery of environment features causes dynamic expansion of the graph resulting in global exploration of the unknown environment. T...

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