Comparison of Three Display Methodologies for Battlefield Resource Management

1998 ◽  
Vol 42 (5) ◽  
pp. 476-480 ◽  
Author(s):  
Daniel N. Mountjoy ◽  
Celestine A. Ntuen ◽  
Philip L. Yarbrough
Keyword(s):  
Resource Management ◽  
Real Time ◽  
Complete Data ◽  
Timely Manner ◽  
Military Forces ◽  
Made In

As the Army prepares to move into the next century, it is exploring advances in technology that will enable U.S. military forces to obtain more complete data regarding its mission, enemy and friendly troop locations, weather, and target status. Not only will this data be more accurate, it will be collected and transmitted in near real-time. Advanced displays must be developed that allow commanders to efficiently deal with large volumes of data so that effective decisions can be made in a timely manner. This paper describes an experiment comparing three methods of displaying battlefield resources and unit mobility: (1) a combination of alphanumerics and standard Army decision graphics, (2) a configural display (CD) representation, and (3) an associative configural display representation (ACD). Results indicate that performance benefits are realized from both the CD and ACD representations, but the CD proved to be the best overall.

System Resource Management for Distributed Real-Time Systems.

1995 ◽  
Author(s):  
Michael Davis ◽  
Elin L. Klaseen ◽  
Louis C. Schreier ◽  
Alan R. Downing ◽  
Jon Peha
Keyword(s):  
Resource Management ◽  
Real Time ◽  
Real Time Systems ◽  
System Resource ◽  
Time Systems

scholarly journals A Deterministic Rapid Intensification Aid

2011 ◽  
Vol 26 (4) ◽  
pp. 579-585 ◽  
Author(s):  
Charles R. Sampson ◽  
John Kaplan ◽  
John A. Knaff ◽  
Mark DeMaria ◽  
Chris A. Sisko
Keyword(s):  
Real Time ◽  
Arithmetic Mean ◽  
Forecast Errors ◽  
Rapid Intensification ◽  
Intensity Forecast ◽  
Probability Threshold ◽  
Forecast Time ◽  
National Hurricane Center ◽  
Made In

Abstract Rapid intensification (RI) is difficult to forecast, but some progress has been made in developing probabilistic guidance for predicting these events. One such method is the RI index. The RI index is a probabilistic text product available to National Hurricane Center (NHC) forecasters in real time. The RI index gives the probabilities of three intensification rates [25, 30, and 35 kt (24 h)−1; or 12.9, 15.4, and 18.0 m s−1 (24 h)−1] for the 24-h period commencing at the initial forecast time. In this study the authors attempt to develop a deterministic intensity forecast aid from the RI index and, then, implement it as part of a consensus intensity forecast (arithmetic mean of several deterministic intensity forecasts used in operations) that has been shown to generally have lower mean forecast errors than any of its members. The RI aid is constructed using the highest available RI index intensification rate available for probabilities at or above a given probability (i.e., a probability threshold). Results indicate that the higher the probability threshold is, the better the RI aid performs. The RI aid appears to outperform the consensus aids at about the 50% probability threshold. The RI aid also improves forecast errors of operational consensus aids starting with a probability threshold of 30% and reduces negative biases in the forecasts. The authors suggest a 40% threshold for producing the RI aid initially. The 40% threshold is available for approximately 8% of all verifying forecasts, produces approximately 4% reduction in mean forecast errors for the intensity consensus aids, and corrects the negative biases by approximately 15%–20%. In operations, the threshold could be moved up to maximize gains in skill (reducing availability) or moved down to maximize availability (reducing gains in skill).

Nowcasting global trade in goods and services

2020 ◽  
pp. 1-19
Author(s):  
Fernando Cantú-Bazaldúa
Keyword(s):  
Real Time ◽  
Relevant Information ◽  
Global Trade ◽  
Dynamic Factor ◽  
Timely Manner ◽  
Short Term ◽  
Dynamic Factor Models ◽  
Significant Information ◽  
Goods And Services ◽  
World Economic

World economic aggregates are compiled infrequently and released after considerable lags. There are, however, many potentially relevant series released in a timely manner and at a higher frequency that could provide significant information about the evolution of global aggregates. The challenge is then to extract the relevant information from this multitude of indicators and combine it to track the real-time evolution of the target variables. We develop a methodology based on dynamic factor models adapted for variables with heterogeneous frequencies, ragged ends and missing data. We apply this methodology to nowcast global trade in goods in goods and services. In addition to monitoring these variables in real time, this method can also be used to obtain short-term forecasts based on the most up-to-date values of the underlying indicators.

Resource management of GEO relays for real-time remote sensing

2021 ◽  
Author(s):  
Xiaobin Xu ◽  
Hui Zhao ◽  
Chang Liu ◽  
Qi Wang ◽  
Shangguang Wang
Keyword(s):  
Remote Sensing ◽  
Resource Management ◽  
Real Time

Thermal-Aware Resource Management for Embedded Real-Time Systems

2018 ◽  
Vol 37 (11) ◽  
pp. 2857-2868 ◽  
Author(s):  
Youngmoon Lee ◽  
Hoon Sung Chwa ◽  
Kang G. Shin ◽  
Shige Wang
Keyword(s):  
Resource Management ◽  
Real Time ◽  
Real Time Systems ◽  
Time Systems

Resource Management for Improving Soft-Error and Lifetime Reliability of Real-Time MPSoCs

2019 ◽  
Vol 38 (12) ◽  
pp. 2215-2228 ◽  
Author(s):  
Junlong Zhou ◽  
Jin Sun ◽  
Xiumin Zhou ◽  
Tongquan Wei ◽  
Mingsong Chen ◽  
...  
Keyword(s):  
Resource Management ◽  
Real Time ◽  
Soft Error ◽  
Lifetime Reliability

A real-time flooding monitoring and warning system using LoRa technology in Kone and Ha Thanh river basin, Binh Dinh Province

2020 ◽  
Vol 14 (5) ◽  
pp. 69-78
Author(s):  
Duc Thien Nguyen ◽  
◽  
Van Trung Tran ◽  
Van Tam Ngo ◽  
Van Phi Ho ◽  
...  
Keyword(s):  
Climate Change ◽  
Real Time ◽  
River Basin ◽  
Local Governments ◽  
Warning System ◽  
Warning Systems ◽  
Timely Manner ◽  
Recent Climate ◽  
The World ◽  
Modern Technologies

In the context of the recent climate change, flooding has been causing serious damages to the human lives and their properties in the world in general, Vietnam in particular, including Binh Dinh province. Therefore, it is pivotal for local governments to build up real-time flooding monitoring and warning systems supported by modern technologies. Addressing to this aim, in this paper, we will study and design a new flooding monitoring and warning system based on a combination of the Long Range (LoRa) teachnology and an open-source platform of Thingsboard. The proposed system allows collecting effectively and sufficiently data from different locations on rivers in a timely manner, thus supporting the early flooding prediction and forecast processes. A testbed of the proposed system is then deployed in the Kone and Ha Thanh river basin, Binh Dinh Province.

A Window Based Graphical User Interface for a Supersonic Combustion Fortran Code

1992 ◽  
Author(s):  
T. Gary Yip ◽  
Ajay R. Patel
Keyword(s):  
Real Time ◽  
Input Sequence ◽  
Supersonic Combustion ◽  
Input File ◽  
Input Interface ◽  
Wide Acceptance ◽  
Fortran Code ◽  
Questions And Answers ◽  
Application Programs ◽  
Made In

Abstract Fortran has been used widely in number crunching applications. In recent years, as the size of application programs increases significantly, users begin to demand interactive capability so that they can interface with the applications in real time in a more flexible and convenient manner. In spite of the wide acceptance by engineers in various fields in the seventies and eighties, Fortran currently does not offer these features. INPUT/OUTPUT are structured rigidly by the order of the READ and WRITE statements in the application programs. The situation would get even worse when the program requires a large number of inputs from the user. A user can use a large input file in which the data must be in a fixed format and no comment statements are allowed. An alternative is to write a real time input interface with requests for inputs displayed on the screen. This leads to a long list of questions and answers scrolling up the screen. When a mistake is made in answering any one of the questions, the input sequence has to be restarted at the beginning of the program again.

Energy-Saving QoS Resource Management of Virtualized Networked Data Centers for Big Data Stream Computing

Big Data ◽  
2016 ◽  
pp. 848-886
Author(s):  
Nicola Cordeschi ◽  
Mohammad Shojafar ◽  
Danilo Amendola ◽  
Enzo Baccarelli
Keyword(s):  
Big Data ◽  
Resource Management ◽  
Real Time ◽  
Data Stream ◽  
Data Centers ◽  
Software As A Service ◽  
Stream Computing ◽  
Management Optimization ◽  
Hard Real Time ◽  
Optimal Scheduler

In this chapter, the authors develop the scheduler which optimizes the energy-vs.-performance trade-off in Software-as-a-Service (SaaS) Virtualized Networked Data Centers (VNetDCs) that support real-time Big Data Stream Computing (BDSC) services. The objective is to minimize the communication-plus-computing energy which is wasted by processing streams of Big Data under hard real-time constrains on the per-job computing-plus-communication delays. In order to deal with the inherently nonconvex nature of the resulting resource management optimization problem, the authors develop a solving approach that leads to the lossless decomposition of the afforded problem into the cascade of two simpler sub-problems. The resulting optimal scheduler is amenable of scalable and distributed adaptive implementation. The performance of a Xen-based prototype of the scheduler is tested under several Big Data workload traces and compared with the corresponding ones of some state-of-the-art static and sequential schedulers.

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