Probabilistic Network-Aware Task Placement for MapReduce Scheduling

2016 ◽  
Author(s):  
Haiying Shen ◽  
Ankur Sarker ◽  
Lei Yu ◽  
Feng Deng
Keyword(s):  
Probabilistic Network ◽  
Task Placement ◽  
Mapreduce Scheduling

Causal Probabilistic Network and Power Spectral Estimation Used in Sleep Stage Classification

1997 ◽  
Vol 36 (04/05) ◽  
pp. 41-46
Author(s):  
A. Kjaer ◽  
W. Jensen ◽  
T. Dyrby ◽  
L. Andreasen ◽  
J. Andersen ◽  
...  
Keyword(s):  
Sleep Stage ◽  
Spectral Estimation ◽  
Interrater Agreement ◽  
Probabilistic Networks ◽  
Probabilistic Network ◽  
Spectral Bands ◽  
Power Spectral ◽  
Stage Classification ◽  
Sleep Stage Classification ◽  
The Brain

Abstract.A new method for sleep-stage classification using a causal probabilistic network as automatic classifier has been implemented and validated. The system uses features from the primary sleep signals from the brain (EEG) and the eyes (AOG) as input. From the EEG, features are derived containing spectral information which is used to classify power in the classical spectral bands, sleep spindles and K-complexes. From AOG, information on rapid eye movements is derived. Features are extracted every 2 seconds. The CPN-based sleep classifier was implemented using the HUGIN system, an application tool to handle causal probabilistic networks. The results obtained using different training approaches show agreements ranging from 68.7 to 70.7% between the system and the two experts when a pooled agreement is computed over the six subjects. As a comparison, the interrater agreement between the two experts was found to be 71.4%, measured also over the six subjects.

scholarly journals Optimization of Dynamic Task Location within a Manipulator’s Workspace for the Utilization of the Minimum Required Joint Torques

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 288
Author(s):  
Adam Wolniakowski ◽  
Charalampos Valsamos ◽  
Kanstantsin Miatliuk ◽  
Vassilis Moulianitis ◽  
Nikos Aspragathos
Keyword(s):  
High Performance ◽  
Human Robot Interaction ◽  
Optimal Position ◽  
End Effector ◽  
Joint Torques ◽  
Dynamic Task ◽  
Arbitrary Position ◽  
Simulation Results ◽  
Set Up ◽  
Task Placement

The determination of the optimal position of a robotic task within a manipulator’s workspace is crucial for the manipulator to achieve high performance regarding selected aspects of its operation. In this paper, a method for determining the optimal task placement for a serial manipulator is presented, so that the required joint torques are minimized. The task considered comprises the exercise of a given force in a given direction along a 3D path followed by the end effector. Given that many such tasks are usually conducted by human workers and as such the utilized trajectories are quite complex to model, a Human Robot Interaction (HRI) approach was chosen to define the task, where the robot is taught the task trajectory by a human operator. Furthermore, the presented method considers the singular free paths of the manipulator’s end-effector motion in the configuration space. Simulation results are utilized to set up a physical execution of the task in the optimal derived position within a UR-3 manipulator’s workspace. For reference the task is also placed at an arbitrary “bad” location in order to validate the simulation results. Experimental results verify that the positioning of the task at the optimal location derived by the presented method allows for the task execution with minimum joint torques as opposed to the arbitrary position.

Survivable virtual optical network embedding with probabilistic network-element failures in elastic optical networks

2015 ◽  
Vol 23 ◽  
pp. 90-94 ◽  
Author(s):  
Hui Yang ◽  
Lei Cheng ◽  
Guangjun Luo ◽  
Jie Zhang ◽  
Yongli Zhao ◽  
...  
Keyword(s):  
Optical Networks ◽  
Optical Network ◽  
Network Embedding ◽  
Network Element ◽  
Probabilistic Network

Probabilistic network values

2021 ◽  
Author(s):  
Surajit Borkotokey ◽  
Subhadip Chakrabarti ◽  
Robert P. Gilles ◽  
Loyimee Gogoi ◽  
Rajnish Kumar
Keyword(s):  
Probabilistic Network

scholarly journals An Optimal Task Placement Strategy in Geo-Distributed Data Centers Involving Renewable Energy

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 61948-61958 ◽  
Author(s):  
Ran Wang ◽  
Yiwen Lu ◽  
Kun Zhu ◽  
Jie Hao ◽  
Ping Wang ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Data Centers ◽  
Distributed Data ◽  
Task Placement
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