- Topological and Geometric Data Analysis
- Homotopy and Cohomology in Algebraic Topology
- Advanced Neuroimaging Techniques and Applications
- Technology and Data Analysis
- Data Visualization and Analytics
- Complex Network Analysis Techniques
- Online Learning and Analytics
- Intelligent Tutoring Systems and Adaptive Learning
- Diverse Approaches in Healthcare and Education Studies
- Computational Drug Discovery Methods
- Innovation in Digital Healthcare Systems
- Algebraic structures and combinatorial models
- Video Coding and Compression Technologies
- Education and Learning Interventions
- Chemical Synthesis and Analysis
- Educational Technology and Assessment
- Data Management and Algorithms
- Health and Wellbeing Research
- Machine Learning in Healthcare
- Advanced Topology and Set Theory
- Advanced Biosensing Techniques and Applications
- Distributed Control Multi-Agent Systems
- Digital Image Processing Techniques
- Text and Document Classification Technologies
- Error Correcting Code Techniques
National Institute for Mathematical Sciences
2023-2024
Korea Advanced Institute of Science and Technology
2023-2024
Kyungpook National University
2023
Korea University
2021-2022
Duke University
2018-2021
The Ohio State University
2018-2020
Samsung (South Korea)
2020
Nuance Communications (United States)
2019
Seoul National University
2010
Sungkyunkwan University
2010
Aggregation of the Alzheimer's peptide Abeta produces toxic multimeric species that play a key role in development disease. Compounds inhibit this aggregation may prove useful as therapeutic agents for prevention or treatment Although inhibitors already exist combinatorial libraries, finding these compounds cost-effective high-throughput manner poses an enormous challenge. To meet challenge, we have developed novel screen capable isolating from large libraries inactive candidates. The uses...
With the rapid technological change of society with Artificial Intelligence, elementary schools' goal should be to prepare next generations according competencies. We propose an AI curriculum cultivate students' literacy answer question ‘why and what teach’ on AI. The proposed focuses achieving based three competencies: Knowledge, Skill, Attitude. anticipate that will equip students core competencies for future
Objectives: The aim of this study was to improve naïve Bayes prediction Medical Subject Headings (MeSH) assignment documents using optimal training sets found by an active learning inspired method.
A cluster tool consists of several single-wafer processing chambers and a wafer handling robot. has to wait within chamber after being processed there until it is unloaded by the Such delays may cause quality degradation or variability due residual gases heat in chamber. The operation schedule maintain identical timing patterns schedules for each cycle so as keep constant every wafer. However, at beginning operation, an empty state hence we need make reach such steady loading wafers into...
Since 2019, the Korean government's investments in making data more accessible to public have grown by 337%. However, open government data, which should be everyone, are not entirely people with low vision, who represent an information-vulnerable class. Emergencies, such as COVID-19 pandemic, decrease face-to-face encounters and inevitably increase untact encounters. Thus, information gap experienced low-vision people, underprivileged terms of information, will further widened, they may...
The constraint in sharing the same physical learning environment with students distance poses difficulties to teachers. A significant teacher-student interaction without observing students' academic status is undesirable constructivist view on education. To remedy teachers' hardships estimating knowledge state, we propose a Student Knowledge Prediction Framework that models and explains student's state for of student modeled predict future mastery level concept. proposed framework integrated...
In topological data analysis (TDA), the shape of a dataset is often encoded into system vector spaces and linear maps over partially ordered set (poset).We give an overview how summaries such systems can be constructed by using ideas from combinatorics.Persistent homology.Within TDA, persistent homology refers to method for associating multiresolution features given dataset.The usual pipeline depicted in Figure 1.In Step 1, one uses Vietoris-Rips complexes.Given dataset, modeled as finite...
In this paper, we study task assignment strategy for multi-agent systems in which the space grows sequentially. Many algorithms are based on heuristic schemes that result optimal performance, but time-varying conditions, real-time techniques needed. order to maximize an auction algorithm is adopted and modified with D* lite handle various events changes of environments. The numerical results show proposed approach can be solved scenario perform sequential tasks efficiently. extensions...
An augmented metric space (X, d_X, f_X) is a d_X) equipped with function f_X: X → ℝ. It arises commonly in practice, e.g, point cloud ℝ^d where each x∈ has density value f_X(x) associated to it. Such an naturally gives rise 2-parameter filtration. However, the resulting persistence module could still be of wild representation type, and may not have simple indecomposables. In this paper, motivated by elder-rule for zeroth homology 1-parameter filtration, we propose barcode-like summary,...
Abstract Commutative diagrams of vector spaces and linear maps over $$\mathbb {Z}^2$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mrow> <mml:mi>Z</mml:mi> </mml:mrow> <mml:mn>2</mml:mn> </mml:msup> </mml:math> are objects interest in topological data analysis (TDA) where this type called 2-parameter persistence modules. Given that quiver representation theory tells us such wild type, studying informative invariants a module M is central importance TDA. One the...
The Generalized Persistence Diagram (GPD) for multi-parameter persistence naturally extends the classical notion of diagram one-parameter persistence. However, unlike its counterpart, computing GPD remains a significant challenge. main hurdle is that, while defined as M\"obius inversion Rank Invariant (GRI), GRI intractable due to formidable size domain, i.e., set all connected and convex subsets in finite grid $\mathbb{R}^d$ with $d \geq 2$. This computational intractability suggests...
Airframe maintenance is regarded the most important action in airlines as aircraft valuable asset their operation though volume of airframe last MRO market. In selecting process provider many kinds evaluation criteria should be considered such quality, expenses, TAT, capability, and customer support. This paper will suggest way to select business sectors using AHP.
In this paper, a single chip HDTV decoder is presented which drastically cuts down the cost of receiver. The reduction achieved by integration system parser, down-converting video decoder, and multi-mode audio decoder. System designers can also benefit from features our requires only 4 Mbytes SDRAM for decoding signal various system-level functions such as IEEE 1394 bus interface, I/sup 2/C controller on-chip clock recovery function.
An augmented metric space is a $(X, d_X)$ equipped with function $f_X: X \to \mathbb{R}$. This type of data arises commonly in practice, e.g., point cloud $X$ $\mathbb{R}^D$ where each $x\in X$ has density value $f_X(x)$ associated to it. d_X, f_X)$ naturally gives rise 2-parameter filtration $\mathcal{K}$. However, the resulting persistent homology ${H}_{\bullet}(\mathcal{K})$ could still be wild representation and may not have simple indecomposables. In this paper, motivated by elder-rule...