Ensemble Methods to Predict the Locality Scope of Indian and Hungarian Students for the Real Time: Preliminary Results

Terminal-area aircraft intent inference (T-AII) is a prerequisite to detect and avoid potential aircraft conflict in the terminal airspace. T-AII challenges the state-of-the-art AII approaches due to the uncertainties of air traffic situation, in particular due to the undefined flight routes and frequent maneuvers. In this paper, a novel T-AII approach is introduced to address the limitations by solving the problem with two steps that are intent modeling and intent inference. In the modeling step, an online trajectory clustering procedure is designed for recognizing the real-time available routes in replacing of the missed plan routes. In the inference step, we then present a probabilistic T-AII approach based on the multiple flight attributes to improve the inference performance in maneuvering scenarios. The proposed approach is validated with real radar trajectory and flight attributes data of 34 days collected from Chengdu terminal area in China. Preliminary results show the efficacy of the presented approach.

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Age Group Predictive Models for the Real Time Prediction of the University Students using Machine Learning: Preliminary Results

2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT) ◽

10.1109/icecct.2019.8869136 ◽

2019 ◽

Cited By ~ 16

Author(s):

Chaman Verma ◽

Zoltan Illes ◽

Veronika Stoffova

Keyword(s):

Machine Learning ◽

University Students ◽

Real Time ◽

Predictive Models ◽

Age Group ◽

The Real ◽

Preliminary Results ◽

Time Prediction ◽

The University

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National Identity Predictive Models for the Real Time Prediction of European School’s Students: Preliminary Results

2019 International Conference on Automation, Computational and Technology Management (ICACTM) ◽

10.1109/icactm.2019.8776842 ◽

2019 ◽

Cited By ~ 4

Author(s):

Chaman Verma ◽

Ahmad S. Tarawneh ◽

Zoltan Illes ◽

Veronika Stoffova ◽

Mandeep Singh

Keyword(s):

National Identity ◽

Real Time ◽

Predictive Models ◽

The Real ◽

Preliminary Results ◽

Time Prediction

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Syndrome and Outbreak Detection Using Chief-Complaint Data - Experience of the Real-Time Outbreak and Disease Surveillance Project

PsycEXTRA Dataset ◽

10.1037/e307182005-005 ◽

2004 ◽

Cited By ~ 3

Author(s):

Michael M. Wagner ◽

J. Espino ◽

F-C. Tsui ◽

P. Gesteland ◽

W. Chapman ◽

...

Keyword(s):

Real Time ◽

Disease Surveillance ◽

Chief Complaint ◽

Outbreak Detection ◽

The Real

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The Real-Time Neural Genesis of a Punchline

PsycEXTRA Dataset ◽

10.1037/e528942014-019 ◽

2014 ◽

Author(s):

Irving Biederman ◽

Ori Amir

Keyword(s):

Real Time ◽

The Real

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Real-Time System for Sending Data from Three Clients to One Server with MATLAB

ACMIT Proceedings ◽

10.33555/acmit.v2i1.7 ◽

2015 ◽

Vol 2 (1) ◽

pp. 35-41

Author(s):

Rivan Risdaryanto ◽

Houtman P. Siregar ◽

Dedy Loebis

Keyword(s):

Information System ◽

Real Time ◽

Time System ◽

Real Time System ◽

The Real ◽

Performance Time ◽

Data Process ◽

Effectiveness And Efficiency

The real-time system is now used on many fields, such as telecommunication, military, information system, evenmedical to get information quickly, on time and accurate. Needless to say, a real-time system will always considerthe performance time. In our application, we define the time target/deadline, so that the system should execute thewhole tasks under predefined deadline. However, if the system failed to finish the tasks, it will lead to fatal failure.In other words, if the system cannot be executed on time, it will affect the subsequent tasks. In this paper, wepropose a real-time system for sending data to find effectiveness and efficiency. Sending data process will beconstructed in MATLAB and sending data process has a time target as when data will send.

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