scholarly journals On the use of agent technology in intelligent, multisensory and distributed surveillance

2011 ◽  
Vol 26 (2) ◽  
pp. 191-208 ◽  
Author(s):  
José M. Gascueña ◽  
Antonio Fernández-Caballero
Keyword(s):  
Multiagent Systems ◽  
State Of The Art ◽  
Good Choice ◽  
Agent Technology ◽  
Surveillance Systems ◽  
Distributed Data ◽  
Distributed Data Management ◽  
Social Ability ◽  
Basic Characteristics ◽  
Communication And Coordination

AbstractThis article revises the state of the art of the application of agent technology within the scope of surveillance systems. Thus, the potential of the practical use of the concepts and technologies of the agent paradigm can be identified and evaluated in this domain. Current surveillance systems are noted for using several devices, heterogeneous in many instances, distributed along the observed scenario, while incorporating a certain degree of intelligence to alert the operator proactively to what is going on in the observed scenario and prevent the operator from having to observe the monitors continuously. The basic characteristics of the agents (autonomy, reactivity, proactiveness and social ability), along with multiagent systems’ characteristics (distributed data management, low coupling, robustness, communication and coordination between autonomous entities), suggest that the agency is a good choice for solving problems which appear and are dealt with in surveillance systems.

Towards next generation coordination infrastructures

2015 ◽  
Vol 30 (4) ◽  
pp. 435-453 ◽  
Author(s):  
Juan A. Rodriguez-Aguilar ◽  
Carles Sierra ◽  
Josep Ll. Arcos ◽  
Maite Lopez-Sanchez ◽  
Inmaculada Rodriguez
Keyword(s):  
Multiagent Systems ◽  
State Of The Art ◽  
Human Interaction ◽  
Agent Technology ◽  
Technology Research ◽  
Next Generation ◽  
Research Issues ◽  
Research Challenges ◽  
Open Research ◽  
On Line

AbstractCoordination infrastructures play a central role in the engineering of multiagent systems. Since the advent of agent technology, research on coordination infrastructures has produced a significant number of infrastructures with varying features. In this paper, we review the the state-of-the-art coordination infrastructures with the purpose of identifying open research challenges that next generation coordination infrastructures should address. Our analysis concludes that next generation coordination infrastructures must address a number of challenges: (i) to becomesocially aware, by facilitating human interaction within a MAS; (ii) to assist agents in their decision making by providingdecision supportthat helps them reduce the scope of reasoning and facilitates the achievement of their goals; and (iii) to increaseopennessto support on-line, fully decentralised design and execution. Furthermore, we identify some promising approaches in the literature, together with the research issues worth investigating, to cope with such challenges.

Fusing Dynamic Images and Depth Motion Maps for Action Recognition in Surveillance Systems

2019 ◽  
Vol 09 ◽  
Author(s):  
Rajat Khurana ◽  
Alok Kumar Singh Kushwaha
Keyword(s):  
Action Recognition ◽  
Depth Map ◽  
Good Choice ◽  
Surveillance Systems ◽  
Activity Detection ◽  
Learning Capability ◽  
Proposed Model ◽  
Care Activity ◽  
Increasing Demand ◽  
Depth Motion Maps

Background & Objective: Identification of human actions from video has gathered much attention in past few years. Most of the computer vision tasks such as Health Care Activity Detection, Suspicious Activity detection, Human Computer Interactions etc. are based on the principle of activity detection. Automatic labelling of activity from videos frames is known as activity detection. Motivation of this work is to use most out of the data generated from sensors and use them for recognition of classes. Recognition of actions from videos sequences is a growing field with the upcoming trends of deep neural networks. Automatic learning capability of Convolutional Neural Network (CNN) make them good choice as compared to traditional handcrafted based approaches. With the increasing demand of RGB-D sensors combination of RGB and depth data is in great demand. This work comprises of the use of dynamic images generated from RGB combined with depth map for action recognition purpose. We have experimented our approach on pre trained VGG-F model using MSR Daily activity dataset and UTD MHAD Dataset. We achieve state of the art results. To support our research, we have calculated different parameters apart from accuracy such as precision, F score, recall. Conclusion: Accordingly, the investigation confirms improvement in term of accuracy, precision, F-Score and Recall. The proposed model is 4 Stream model is prone to occlusion, used in real time and also the data from the RGB-D sensor is fully utilized.

scholarly journals Experience of a low-maintenance distributed data management system

2014 ◽  
Vol 513 (3) ◽  
pp. 032095 ◽  
Author(s):  
Wataru Takase ◽  
Yoshimi Matsumoto ◽  
Adil Hasan ◽  
Francesca Di Lodovico ◽  
Yoshiyuki Watase ◽  
...  
Keyword(s):  
Data Management ◽  
Management System ◽  
Data Management System ◽  
Distributed Data ◽  
Distributed Data Management

scholarly journals Integration of Rucio in Belle II

2021 ◽  
Vol 251 ◽  
pp. 02057
Author(s):  
Cédric Serfon ◽  
Ruslan Mashinistov ◽  
John Steven De Stefano ◽  
Michel Hernández Villanueva ◽  
Hironori Ito ◽  
...  
Keyword(s):  
Data Management ◽  
Smooth Transition ◽  
Distributed Data ◽  
Simulation Data ◽  
Migration Strategy ◽  
Distributed Data Management ◽  
Order Of Magnitude ◽  
Belle Ii ◽  
Work Done ◽  
Data Management Software

The Belle II experiment, which started taking physics data in April 2019, will multiply the volume of data currently stored on its nearly 30 storage elements worldwide by one order of magnitude to reach about 340 PB of data (raw and Monte Carlo simulation data) by the end of operations. To tackle this massive increase and to manage the data even after the end of the data taking, it was decided to move the Distributed Data Management software from a homegrown piece of software to a widely used Data Management solution in HEP and beyond : Rucio. This contribution describes the work done to integrate Rucio with Belle II distributed computing infrastructure as well as the migration strategy that was successfully performed to ensure a smooth transition.

scholarly journals Distributed Data Processing in Vehicular Networks using Mobile Agents

1970 ◽  
Vol 2 ◽  
pp. 61-62
Author(s):  
Óscar Urra ◽  
Sergio Ilarri
Keyword(s):  
Wireless Communications ◽  
Mobile Agent ◽  
Open Problem ◽  
Mobile Agents ◽  
Short Range ◽  
Vehicular Networks ◽  
Vehicular Network ◽  
Agent Technology ◽  
Distributed Data ◽  
Distributed Data Processing

In a vehicular network, vehicles can exchange interesting information (e.g., about accidents, traffic status, etc.) using short-range wireless communications. Besides, the vehicles can be equipped with additional sensors that can directly obtain data from the environment. How to efficiently process and collect these data is an open problem. We argue that mobile agent technology could be helpful.

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