Research on Dynamic Awareness of Network Service State and Active Updating Method of Visualization

2013 ◽  
Vol 694-697 ◽  
pp. 2354-2359
Author(s):  
Wen Xiao He ◽  
Chang Tao Mao ◽  
Zong Shui Xiao
Keyword(s):  
Real Time ◽  
Situational Awareness ◽  
Visual Display ◽  
Network Service ◽  
Network State ◽  
State Changes ◽  
Network Object ◽  
Service State ◽  
Object Status ◽  
The Web

Timely and intuitive display of network service state has very important value for network management.In this paper,a display mechanism based on Server Push is proposed and implemented.The mechanism implements the real-time and visual display of the network state changes through dynamic awareness of network state and state projection method of active updating state to the Web browse,which implement situational awareness of network service state.At present, C/S mode or the Web way with plug-in is adopted to obtain the network object status changes information, compared to which the mechanism in this paper can achieve better real-time response.

HomCam

2016 ◽  
Vol 60 (1) ◽  
pp. 800-804 ◽  
Author(s):  
Brian Peck ◽  
Stephen Gilbert ◽  
Eliot Winer ◽  
Robert C. Ray
Keyword(s):  
Real Time ◽  
Situation Awareness ◽  
Network Performance ◽  
Situational Awareness ◽  
Visual Display ◽  
Initial Test ◽  
Video System ◽  
Wearable Technologies ◽  
Remote Location ◽  
New Applications

The growth of mobile and wearable technologies has enabled a host of new applications, including remote situational awareness, in which a device worn by a remote partner can simulate being present in the remote location for an observer. We illustrate this idea by constructing the HomCam, a helmet-based omnidirectional video system that gives an observer the 360-degree perspective of a remote wearer. To our knowledge, the HomCam was the first wearable system that enabled real-time streaming of 360-degree video to a remote location built from commercial-of-the-shelf hardware. This paper describes related efforts, the HomCam prototype, its visual display, and an initial test of network performance. This prototype demonstrates some of the challenges of remote situation awareness and contributes to designers’ implementation of related systems.

scholarly journals Communication infrastructure for situational awareness enhancement in WAMS with optimal PMU placement

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Bhargav Appasani ◽  
Amitkumar Vidyakant Jha ◽  
Sunil Kumar Mishra ◽  
Abu Nasar Ghazali
Keyword(s):  
Real Time ◽  
Situational Awareness ◽  
Area Measurement ◽  
Measurement Unit ◽  
Monitoring And Control ◽  
Communication Infrastructure ◽  
Wide Area Measurement System ◽  
Digital Elevation ◽  
Elevation Model ◽  
And Control

AbstractReal time monitoring and control of a modern power system has achieved significant development since the incorporation of the phasor measurement unit (PMU). Due to the time-synchronized capabilities, PMU has increased the situational awareness (SA) in a wide area measurement system (WAMS). Operator SA depends on the data pertaining to the real-time health of the grid. This is measured by PMUs and is accessible for data analytics at the data monitoring station referred to as the phasor data concentrator (PDC). Availability of the communication system and communication delay are two of the decisive factors governing the operator SA. This paper presents a pragmatic metric to assess the operator SA and ensure optimal locations for the placement of PMUs, PDC, and the underlying communication infrastructure to increase the efficacy of operator SA. The uses of digital elevation model (DEM) data of the surface topography to determine the optimal locations for the placement of the PMU, and the microwave technology for communicating synchrophasor data is another important contribution carried out in this paper. The practical power grid system of Bihar in India is considered as a case study, and extensive simulation results and analysis are presented for validating the proposed methodology.

Use of PMU-Based Software Platform to Provide Real-Time Situational Awareness for Bronzeville Community Microgrid

2020 ◽  
Author(s):  
Niroj Gurung ◽  
Sri Raghavan Raghav Kothandaraman ◽  
Liuxi Calvin Zhang ◽  
Heng Kevin Chen ◽  
Farnoosh Rahmatian ◽  
...  
Keyword(s):  
Real Time ◽  
Situational Awareness ◽  
Software Platform

scholarly journals An Augmented Warning System for Pedestrians: User Interface Design and Algorithm Development

2021 ◽  
Vol 11 (16) ◽  
pp. 7197
Author(s):  
Yourui Tong ◽  
Bochen Jia ◽  
Shan Bao
Keyword(s):  
User Interface ◽  
Real Time ◽  
Interface Design ◽  
Situational Awareness ◽  
Warning System ◽  
User Interface Design ◽  
Warning Systems ◽  
Projection Algorithms ◽  
Time Projection ◽  
Timely Warning

Warning pedestrians of oncoming vehicles is critical to improving pedestrian safety. Due to the limitations of a pedestrian’s carrying capacity, it is crucial to find an effective solution to provide warnings to pedestrians in real-time. Limited numbers of studies focused on warning pedestrians of oncoming vehicles. Few studies focused on developing visual warning systems for pedestrians through wearable devices. In this study, various real-time projection algorithms were developed to provide accurate warning information in a timely way. A pilot study was completed to test the algorithm and the user interface design. The projection algorithms can update the warning information and correctly fit it into an easy-to-understand interface. By using this system, timely warning information can be sent to those pedestrians who have lower situational awareness or obstructed view to protect them from potential collisions. It can work well when the sightline is blocked by obstructions.

A guided latent Dirichlet allocation approach to investigate real-time latent topics of Twitter data during Hurricane Laura

2021 ◽  
pp. 016555152110077
Author(s):  
Sulong Zhou ◽  
Pengyu Kan ◽  
Qunying Huang ◽  
Janet Silbernagel
Keyword(s):  
Social Media ◽  
Real Time ◽  
Language Processing ◽  
Disaster Response ◽  
Domain Knowledge ◽  
Latent Dirichlet Allocation ◽  
Situational Awareness ◽  
High Performing ◽  
Latent Topics ◽  
Dirichlet Allocation

Natural disasters cause significant damage, casualties and economical losses. Twitter has been used to support prompt disaster response and management because people tend to communicate and spread information on public social media platforms during disaster events. To retrieve real-time situational awareness (SA) information from tweets, the most effective way to mine text is using natural language processing (NLP). Among the advanced NLP models, the supervised approach can classify tweets into different categories to gain insight and leverage useful SA information from social media data. However, high-performing supervised models require domain knowledge to specify categories and involve costly labelling tasks. This research proposes a guided latent Dirichlet allocation (LDA) workflow to investigate temporal latent topics from tweets during a recent disaster event, the 2020 Hurricane Laura. With integration of prior knowledge, a coherence model, LDA topics visualisation and validation from official reports, our guided approach reveals that most tweets contain several latent topics during the 10-day period of Hurricane Laura. This result indicates that state-of-the-art supervised models have not fully utilised tweet information because they only assign each tweet a single label. In contrast, our model can not only identify emerging topics during different disaster events but also provides multilabel references to the classification schema. In addition, our results can help to quickly identify and extract SA information to responders, stakeholders and the general public so that they can adopt timely responsive strategies and wisely allocate resource during Hurricane events.

The Unbearable Lightness of the Image

2017 ◽  
Vol 10 (2-3) ◽  
pp. 109-132 ◽  
Author(s):  
Donatella Della Ratta
Keyword(s):  
Web 2.0 ◽  
Real Time ◽  
New Technologies ◽  
Political Commitment ◽  
Life Activity ◽  
Bearing Witness ◽  
Ethical Discourse ◽  
The Aesthetic ◽  
The Moment ◽  
The Web

In this essay, I reflect on the aesthetic, political and material implications of filming as a continuous life activity since the beginning of the 2011 uprising in Syria. I argue that the blurry, shaky and pixelated aesthetics of Syrian user-generated videos serve to construct an ethical discourse (Ranciére 2009a; 2013) to address the genesis and the goal of the images produced, and to shape a political commitment to the evidence-image (Didi-Huberman 2008). However, while the unstable visuals of the handheld camera powerfully reconnect, both at a symbolic and aesthetic level, to the truthfulness of the moment of crisis in which they are generated, they fail to produce a clearer understanding of the situation and a counter-hegemonic narrative. In this article, I explore how new technologies have impacted this process of bearing witness and documenting events in real time, and how they have shaped a new understanding of the image as a networked, multiple object connected with the living archive of history, in a permanent dialogue with the seemingly endless flow of data nurtured by the web 2.0.

scholarly journals Navigation Security Module with Real-Time Voice Command Recognition System

2017 ◽  
Vol 24 (2) ◽  
pp. 17-26
Author(s):  
Mustafa Yagimli ◽  
Huseyin Kursat Tezer
Keyword(s):  
Real Time ◽  
Situational Awareness ◽  
Predictive Coding ◽  
Recognition System ◽  
Time Warping ◽  
Linear Predictive Coding ◽  
Mel Frequency Cepstral Coefficients ◽  
Voice Command ◽  
Security Module ◽  
Dynamic Time

Abstract The real-time voice command recognition system used for this study, aims to increase the situational awareness, therefore the safety of navigation, related especially to the close manoeuvres of warships, and the courses of commercial vessels in narrow waters. The developed system, the safety of navigation that has become especially important in precision manoeuvres, has become controllable with voice command recognition-based software. The system was observed to work with 90.6% accuracy using Mel Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW) parameters and with 85.5% accuracy using Linear Predictive Coding (LPC) and DTW parameters.

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