Adaptive Methods for Hyperbolic Problems on Local Memory Parallel Processors

1988 ◽  
pp. 77-84
Author(s):  
William Gropp
Keyword(s):  
Adaptive Methods ◽  
Parallel Processors ◽  
Hyperbolic Problems ◽  
Local Memory

Highly parallel processors in military systems

1988 ◽  
Vol 135 (4) ◽  
pp. 202
Author(s):  
J.B.G. Roberts ◽  
B.C. Merrifield ◽  
P. Simpson ◽  
J.S. Ward
Keyword(s):  
Parallel Processors ◽  
Military Systems

THE PRACTICE OF APPLYING ADAPTIVE METHODS OF CAPITAL MANAGEMENT IN THE ENTERPRISES OF THE TOKTOGUL DISTRICT OF THE KYRGYZ REPUBLIC

2020 ◽  
Vol 1 (12) ◽  
pp. 79-82
Author(s):  
M. U. USUPOV ◽  
Keyword(s):  
Adaptive Methods ◽  
Kyrgyz Republic ◽  
Capital Management ◽  
Methods Of Analysis ◽  
Modern Methods ◽  
Economic Work ◽  
Effective Use

The article deals with the application of adaptive methods of capital management at enterprises of the Toktogul district of the Kyrgyz Republic. This area of economic work is considered a key point in the functioning of the firm. Questions of formation and effective use of own and borrowed capital largely depend on the use of modern methods of analysis.

Consensus in networks of uncertain robot manipulators without using neighbors’ velocity information

Robotica ◽  
2021 ◽  
pp. 1-17
Author(s):  
Seyed Mostafa Almodarresi ◽  
Marzieh Kamali ◽  
Farid Sheikholeslam
Keyword(s):  
Information Exchange ◽  
Lyapunov Functions ◽  
Robot Manipulators ◽  
Adaptive Methods ◽  
Convergence Time ◽  
Parameter Search ◽  
Velocity Information ◽  
Simulation Results ◽  
Uncertain Robot ◽  
Asymptotic Synchronization

Abstract In this paper, new distributed adaptive methods are proposed for solving both leaderless and leader–follower consensus problems in networks of uncertain robot manipulators, by estimating only the gravitational torque forces. Comparing with the existing adaptive methods, which require the estimation of the whole dynamics, presented methods reduce the excitation levels required for efficient parameter search, the convergence time, and the complexity of the regressor. Additionally, proposed schemes eliminate the need for velocity information exchange between the agents. Global asymptotic synchronization is shown by introducing new Lyapunov functions. Simulation results are provided for a network of 10 4-DOF robot manipulators.

Multimodal emotion recognition with hierarchical memory networks

2021 ◽  
Vol 25 (4) ◽  
pp. 1031-1045
Author(s):  
Helang Lai ◽  
Keke Wu ◽  
Lingli Li
Keyword(s):  
Emotion Recognition ◽  
The Self ◽  
Global Memory ◽  
Human Computer Interactions ◽  
Accuracy Improvement ◽  
Local Memory ◽  
Hierarchical Memory ◽  
Multimodal Emotion Recognition ◽  
Novel Model ◽  
Computer Interactions

Emotion recognition in conversations is crucial as there is an urgent need to improve the overall experience of human-computer interactions. A promising improvement in this field is to develop a model that can effectively extract adequate contexts of a test utterance. We introduce a novel model, termed hierarchical memory networks (HMN), to address the issues of recognizing utterance level emotions. HMN divides the contexts into different aspects and employs different step lengths to represent the weights of these aspects. To model the self dependencies, HMN takes independent local memory networks to model these aspects. Further, to capture the interpersonal dependencies, HMN employs global memory networks to integrate the local outputs into global storages. Such storages can generate contextual summaries and help to find the emotional dependent utterance that is most relevant to the test utterance. With an attention-based multi-hops scheme, these storages are then merged with the test utterance using an addition operation in the iterations. Experiments on the IEMOCAP dataset show our model outperforms the compared methods with accuracy improvement.

scholarly journals Displaced Art and the Reconstruction of Memory: Ukrainian Artists from Crimea and Donbas

2018 ◽  
Vol 2 (1) ◽  
pp. 700-709
Author(s):  
Iuliia Lashchuk
Keyword(s):  
Cultural Context ◽  
Main Idea ◽  
Personal History ◽  
Local Memory ◽  
Multicultural Identity ◽  
Left Behind ◽  
The People

Abstract After the occupation of Crimea and the conflict in Eastern Ukraine, many people were forced to leave their homes and look for a new place to live. The cultural context, memories, narratives, including the scarcely built identity of artificially made sites like those from Donbas (Donetsk and Luhansk regions) and the multicultural identity of Crimea, were all destroyed and left behind. Among the people who left their roots and moved away were many artists, who naturally fell into two groups-the ones who wanted to remember and the ones who wanted to forget. The aim of this paper is to analyse the ways in which the local memory of those lost places is represented in the works of Ukrainian artists from the conflict territories, who were forced to change their dwelling- place. The main idea is to show how losing the memory of places, objects, sounds, etc. affects the continuity of personal history.

Performance analysis of algorithms on asynchronous parallel processors

1982 ◽  
Vol 26 (3-4) ◽  
pp. 233-236 ◽  
Author(s):  
R.H. Barlow ◽  
D.J. Evans ◽  
J. Shanehchi
Keyword(s):  
Performance Analysis ◽  
Analysis Of Algorithms ◽  
Parallel Processors ◽  
Asynchronous Parallel
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