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Issue DateTitleAuthor(s)
2020-11Aspiration ratio of a double-shrouded probe under low pressure conditions in troposphere육세진
2020-11Development of a multi-slit virtual impactor as a high-volume bio-aerosol sampler육세진
2020-11Shape Optimization for a Single Valve Vacuum Chuck Using Two-Way FSI Analysis한석영
2020-11Frost modeling under cryogenic conditions이관수
2020-11Ultra-wide band gap metasurfaces for controlling seismic surface waves윤길호
2020-11Steerable dry-adhesive linkage-type wall-climbing robot서태원
2020-11Bio-Inspired Electronic Textile Yarn-Based NO2 Sensor Using Amyloid-Graphene Composite김웅
2020-11인체재료 모사 기반 충격 타박상 응력 예측 및 위협인자의 영향도 분석김태원
2020-11Structural mechanism of glass forming ability in Zr-based binary alloys김덕수
2020-11Prediction Model for Back-Bead Monitoring During Gas Metal Arc Welding Using Supervised Deep Learning이세헌
2020-10Effect of 3D printing raster angle on reversible thermo-responsive composites using PLA/paper bilayer소홍윤
2020-10Effects of exponentially decaying and growing concentrations on particle size distribution from a scanning mobility particle sizer육세진
2020-10A Study on Copper/Silver Core-Shell Microparticles with Silver Nanoparticles Hybrid Paste and its Intense Pulsed Light Sintering Characteristics for High Oxidation Resistance김재정
2020-10Mutually Complementary Measure-Correlate-Predict Method for Enhanced Long-Term Wind-Resource Assessment오기용
2020-10Electrothermal soft manipulator enabling safe transport and handling of thin cell/tissue sheets and bioelectronic devices김민구
2020-10Validation of a Novel Wearable Electromyography Patch for Monitoring Submental Muscle Activity During Swallowing: A Randomized Crossover Trial김민구
2020-10Development of a Flowmeter Using Vibration Interaction between Gauge Plate and External Flow Analyzed by LSTM박준홍
2020-10Damage detection with an ultrasound array and deep convolutional neural network fusion오기용
2020-10Support-free hollowing with spheroids and efficient 3D printing utilizing circular printing motions based on Voronoi diagrams김덕수
2020-10Real-Time Detection of Weld Defects for Automated Welding Process Base on Deep Neural Network이세헌

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