A5009361936- Advanced Chemical Sensor Technologies
- Gas Sensing Nanomaterials and Sensors
- Insect Pheromone Research and Control
- Analytical Chemistry and Sensors
- Olfactory and Sensory Function Studies
- Water Quality Monitoring and Analysis
- Analytical Chemistry and Chromatography
- Conducting polymers and applications
- Neural Networks and Applications
- Blind Source Separation Techniques
- Biochemical Analysis and Sensing Techniques
- Advanced Adaptive Filtering Techniques
- Sensor Technology and Measurement Systems
- Speech and Audio Processing
- Nanoparticles: synthesis and applications
- Computational Drug Discovery Methods
- Advanced Sensor and Control Systems
- Electrochemical sensors and biosensors
- Advanced Algorithms and Applications
- Air Quality Monitoring and Forecasting
- Odor and Emission Control Technologies
- Neuroscience and Neural Engineering
- Fault Detection and Control Systems
- Spectroscopy and Chemometric Analyses
- Graphene research and applications
Kangwon National University
2012-2024
Hongik University
2024
Government of the Republic of Korea
2018
Kwangwoon University
2015
Hoseo University
2012
University of Manchester
1996-2009
Kyungpook National University
2009
The utilization of p-p isotype heterojunctions is an effective strategy to enhance the gas sensing properties metal-oxide semiconductors, but most previous studies focused on p-n owing their simple mechanism formation depletion layers. However, a proper choice semiconductors with appropriate energy bands can also contribute enhancement performance. Herein, we report nickel oxide (NiO)-decorated cobalt (Co3O4) nanorods (NRs) fabricated using multiple-step glancing angle deposition method....
Quantitative structure–activity relationship (QSAR) models for nanomaterials (nano-QSAR) were developed to predict the cytotoxicity of 20 different types multiwalled carbon nanotubes (MWCNTs) human lung cells by using quasi-SMILES. The optimal descriptors, recorded as quasi-SMILES, encoded represent physicochemical properties and experimental conditions MWCNTs from 276 data records collected previously published studies. quasi-SMILES used build descriptors (i) diameter, (ii) length, (iii)...
A generalized toxicity classification model for 7 different oxide nanomaterials is presented in this study. data set extracted from multiple literature sources and screened by physicochemical property based quality scores were used development. Moreover, a few more preprocessing techniques, such as synthetic minority over-sampling technique, applied to address the imbalanced class problem set. Then, models using four algorithms, linear model, support vector machine, random forest, neural...
Abstract 2D materials, such as graphene, exhibit great potential functional materials for numerous novel applications due to their excellent properties. The grafting of conventional micropatterning techniques on new types electronic devices is required fully utilize the unique nature graphene. However, lithography and polymer‐supported transfer methods often induce contamination damage graphene surface polymer residues harsh wet‐transfer conditions. Herein, a strategy obtain micropatterned...
Micro-light-emitting diodes (μLEDs) have gained significant interest as an activation source for gas sensors owing to their advantages, including room temperature operation and low power consumption. However, despite these benefits, challenges still exist such a limited range of detectable gases slow response. In this study, we present blue μLED-integrated light-activated sensor array based on SnO
Development of nanotoxicity prediction models is becoming increasingly important in the risk assessment engineered nanomaterials. However, it has significant obstacles caused by wide heterogeneities published literature terms data completeness and quality. Here, we performed a meta-analysis 216 articles on oxide nanoparticles using 14 attributes physicochemical, toxicological quantum-mechanical properties. Particularly, to improve quality extracted dataset, adapted two preprocessing...
Array-based gas sensors now offer the potential of a robust analytical approach to odor measurement for medical use. We are developing fast reliable method detection microbial infection by monitoring headspace from infected wound. In this paper, we present initial results obtained wound-state burn patients using an electronic nose incorporating automated solid-phase microextraction (SPME) desorption system enable be used clinical validation. SPME preconcentration is sampling air and response...
Workflow for curation of datasets, assessment their quality and completeness, nanoSAR model development.
This study presents a safety management model for hydrogen refueling stations, integrating digital twin technology and artificial intelligence (AI) to enhance operational safety. Given the risks associated with high-pressure gas handling potential fires from leaks, real-time monitoring is crucial. The proposed based on twin, virtual replica of physical system using data, including temperature, pressure, state charge, collected an actual station in Samcheok, Gangwon Province. Out nine tested...
The early detection and timely treatment are the most important factors for improving outcome of patients with sepsis. Sepsis-related clinical score, such as SIRS, SOFA LODS, were defined to identify suspected infection predict severity mortality. A few hematological parameters associated organ dysfunction included in score although various pathology (hematology, serum chemistry plasma coagulation) blood sample have been found be investigation facilitates implementation a complementary model...
In this paper, a new blind signal processing scheme for equalization in fading and impulsive-noise channel environments is introduced based on probability density function matching method set of Dirac-delta functions. Gaussian kernel the proposed algorithm has effect cutting out outliers difference between desired level values impulse-infected outputs. And also relatively less sensitivity to eigenvalue ratio reduced computational complexity compared recently correntropy algorithm. According...
Based on an analysis of the signal characteristics gas sensors, this work presents a chemoresistive sensor readout circuit design for detecting gases with slow response time characteristics. The proposed directly generates reference voltage corresponding to initial value and extracts only amount concentration change in sensor. Because can adaptively regenerate suitable under various changing ambient conditions, it alleviate variation output values at same caused by non-uniformities among...
Disease discrimination using an electronic nose is achieved by measuring the presence of a specific gas contained in exhaled breath patients. Many studies have reported acetone diabetic These suggest that can be used as biomarker diabetes, enabling diagnoses to made levels breath. In this study, we perform chemical sensor array optimization improve performance system Wilks' lambda, selection based on principal component (B4), and stepwise elimination (SE) technique detect human By applying...
Various ZnO nanostructures, including nanoparticles, nanorods, nanotubes, and nanorings, were synthesized via a controlled synthesis by facile sonochemical method combined with chemical etching process. The morphology structure of the fabricated nanomaterials characterized X-ray diffraction, scanning electron microscopy, transmission microscopy. sensing properties different nanostructures toward volatile organic compounds gases at sub-ppm levels investigated. differences in responses various...
Smell used to be a common diagnostic tool in medicine, and physicians were trained use their sense of smell during medical training. Latterly, odor disgnostics have been relegated secondary status as method. Array-based gas sensors ("Electronic Nose") now offer the potential robust analytical approach exhaled breath analysis for use. Many diseases are accompanied by characteristic odor, recognition can provide diagonostic clues, guide laboratory evaluation, affect choice immediate therapy....