A5103455749- BIM and Construction Integration
- Fractional Differential Equations Solutions
- 3D Surveying and Cultural Heritage
- stochastic dynamics and bifurcation
- Diffusion and Search Dynamics
- Anomaly Detection Techniques and Applications
- Time Series Analysis and Forecasting
- Construction Project Management and Performance
- Semantic Web and Ontologies
- Stochastic processes and statistical mechanics
- Imbalanced Data Classification Techniques
- Advanced biosensing and bioanalysis techniques
- Nutrition, Health and Food Behavior
- Innovations in Concrete and Construction Materials
- Quantum chaos and dynamical systems
- Statistical Methods and Inference
- Theoretical and Computational Physics
- Statistics Education and Methodologies
- Educational Systems and Policies
- Advanced Statistical Process Monitoring
- Advanced Statistical Methods and Models
- Infrastructure Maintenance and Monitoring
- Network Security and Intrusion Detection
- Modeling, Simulation, and Optimization
- Traffic Prediction and Management Techniques
Anyang University
2024
Hanyang University
2024
University of Seoul
2018-2019
Korea National University of Education
2013-2017
Truman State University
2004-2014
U.S. Army Engineer Research and Development Center
2007
Harvard University
1983
We introduced simple microscopic non-Markovian walk models which describe underlying mechanism of anomalous diffusions. In the models, we considered competitions between randomness and memory effects previous history by introducing probability parameters. The were in two aspects, one is perfect whole other latest improved with time. model superdiffusion was induced relation Hurst exponent $H$ to controlling parameter $p$ as $H=p$ for $p>1/2$. While enhancement diffusions involving both...
Building information modeling (BIM) provides facility managers with a large database consisting of 3D geometric data as well management data. In particular, Industry Foundation Class (IFC) has been applied in many studies it extensive and diverse regarding building components. With the use BIM combined case-based reasoning (CBR), this study, model was developed to estimate replacement costs by retrieving cost from IFC. This study focused on windows for office buildings, associated that...
We introduce a single generative mechanism that can be used to describe diverse nonstationary diffusions. A Markovian replication process for steps is considered which we derive analytically the time evolution of probability distribution walker's displacement and generalized telegrapher equation with time-varying coefficients, find diffusivity determined by temporal changes an immediate step. By controlling replications, realize diffusions such as alternating diffusion, superdiffusion,...
Detecting anomalies in engine and machinery data during ship operations is crucial for maintaining the safety efficiency of vessel. We conducted experiments using device from maritime industry, consisting time series records IoT (Internet Things) datasets such as cylinder exhaust gas temperatures, coolant pressures collected various sensors on ship’s equipment. propose enrichment validation techniques by generating synthetic outliers through degradation augmentation with a Transformer...
To solve the obscureness in measurement brought about from weak ergodicity breaking appeared anomalous diffusions, we have suggested time-averaged mean squared displacement (MSD) [Formula: see text] with an integral interval depending linearly on lag time τ. For continuous random walk describing a subdiffusive behavior, found that like of ensemble-averaged MSD, which makes it be possible to measure proper exponent values through time-average experiments single molecule tracking. Also, has...
In this paper, covariance matrices of heights measured relative to the average height growing self-affine surfaces in steady state are investigated framework random matrix theory. We show that spectral density scales as ρ(λ) ~ λ -ν deviating from prediction theory and has a scaling form, ρ(λ, L) = f(λ/L ϕ ) for lateral system size L, where function f(x) approaches constant ≪ L zero ≪λ< max . The values exponents obtained by numerical simulations ν ≈ 1.70 1.51 Edward–Wilkinson class 1.61...