A System-of-Systems Approach to Improving Intelligent Predictions and Decisions in a Time-series Environment

Curry, David M.; Beaver, William W.; Dağli, Ci̇han H.

doi:10.1109/sysose.2018.8428744

Cited by 9 publications

(4 citation statements)

References 8 publications

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“…Time series analysis and mining have attracted attention in recent years [7]. Time series applications have been widely used in transportation [8], operation and maintenance [9][10][11], and medical [12][13][14][15] fields. At present, the development status of time series anomaly detection algorithm can be roughly divided into three stages.…”

Section: Related Workmentioning

confidence: 99%

Time Series Anomaly Detection Model Based on Multi-Features

Tang

Wang

Jiang

2022

Computational Intelligence and Neuroscience

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For Internet information services, it is very important to closely monitor a large number of key time series data generated by core business for anomaly detection. Although there have been many anomaly detection models in recent years, its practical application is still a big challenge. The model usually needs repeated iteration and parameter adjustment; and for different types of time series data, we need to select different models. Therefore, this paper proposes an anomaly detection model based on time series. The model first designs the statistical features, fitting features, and time-frequency domain features for the time series, and then uses the random forest integration model to automatically select the appropriate features for anomaly classification. In addition, this paper presents an anomaly evaluation index ADC score with timeliness window, which adds the time delay factor of anomaly detection on the basis of F1-score. We use the KPI time series, a representative key performance index in the industry, as the experimental data. It is found that the ADC score of the anomaly detection model in this paper reaches the level of 0.7–0.8, which can meet the needs of practical application.

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Section: Related Workmentioning

confidence: 99%

Time Series Anomaly Detection Model Based on Multi-Features

Tang

Wang

Jiang

2022

Computational Intelligence and Neuroscience

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“…Research previously performed has shown that using similar methods of assessment has been effective in the generation of and assessment of meta-architecture. Ashiku et al [1] developed a model using SoS explorer [2] on a banking cybersecurity problem. They used the supplied Genetic Algorithm of the SoS explorer that is coupled with fuzzy assessor as a fitness function to select combinations of defense mechanism to eliminate cyber threats [5].…”

Section: Previous Workmentioning

confidence: 99%

“…They used the supplied Genetic Algorithm of the SoS explorer that is coupled with fuzzy assessor as a fitness function to select combinations of defense mechanism to eliminate cyber threats [5]. Similarly Curry et al [2] used SoS explorer to improve intelligent predictions and decisions in a time-series environment. Al-Amin et al [3] shows that SoS explorer along with fuzzy inference system can be used to optimize meta-architecture generation process in complex task like intelligent transportation system.…”

Section: Previous Workmentioning

confidence: 99%

Systems of Systems (SoS) meta‐architecture evaluation utilizing the SoS Explorer for cyber‐physical smart solar roadways

Schäfer

Dağli

2022

INCOSE International Symp

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Smart solar roadways are an emerging cyber-physical technology being developed by companies worldwide with some roadways even being in the early stages of implementation. These roadway systems have complex capabilities and connections with other systems. The recent and continuous advancements in solar technologies and wireless data transfer there exists a need to be able to evaluate the system of systems meta-architecture for the development and implementation of smart solar roadways.Therefore, this paper outlines an example of the possibility for evaluation of the meta-architectures using fuzzy logic assessors and genetic algorithms in conjunction with the SoS Explorer Application developed by the Engineering Management and Systems

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“…. The requirements for high reliability and functionality of the on-board satellite complex are related to the difficult flight situation and hard real-time conditions during the launch and operation [18,19].…”

Section: Micro-mini-satellite and Data Acquisitionmentioning

confidence: 99%

The conceptual design of a complex technical object based on intelligent technologies

Каримов¹,

Kondratyeva²,

Кузьмина³

et al. 2020

The International Workshop on Information, Computation, and Control Systems for Distributed Environments

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The problem of system design of complex technical objects based on intelligent technologies is considered. An optimization model for the conceptual design of a micro-mini-satellite based on a genetic algorithm is discussed. An artificial neural network model of a propulsion system is considered, as well as a heuristic algorithm for analyzing the cross-correlation of telemetric parameters of a micro-mini-satellite. The concept of constructing an intelligent system for information support of the life cycle of a complex technical object based on the considered models and algorithms is proposed.

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A System-of-Systems Approach to Improving Intelligent Predictions and Decisions in a Time-series Environment

Cited by 9 publications

References 8 publications

Time Series Anomaly Detection Model Based on Multi-Features

Time Series Anomaly Detection Model Based on Multi-Features

Systems of Systems (SoS) meta‐architecture evaluation utilizing the SoS Explorer for cyber‐physical smart solar roadways

The conceptual design of a complex technical object based on intelligent technologies

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