His primary areas of study are Signal, Display device, Electrical engineering, Liquid-crystal display and Voltage. As a member of one scientific family, Joo-hyung Lee mostly works in the field of Signal, focusing on Electronic engineering and, on occasion, Image signal and Image. Joo-hyung Lee interconnects Computer hardware, Digital signal processor and Pixel, Computer vision, Artificial intelligence in the investigation of issues within Display device.
His Electrical engineering research is multidisciplinary, incorporating perspectives in Light sensing and Capacitance. His Liquid-crystal display study improves the overall literature in Optoelectronics. Joo-hyung Lee works mostly in the field of Voltage, limiting it down to topics relating to Current and, in certain cases, Diode, as a part of the same area of interest.
Joo-hyung Lee spends much of his time researching Display device, Optoelectronics, Signal, Optics and Artificial intelligence. His Display device study combines topics in areas such as Luminance, Computer hardware, Digital signal processor, Pixel and Voltage. His Optoelectronics research is mostly focused on the topic Liquid-crystal display.
The various areas that Joo-hyung Lee examines in his Liquid-crystal display study include Capacitance, Capacitor and Liquid crystal. His Signal research is included under the broader classification of Electrical engineering. His work investigates the relationship between Artificial intelligence and topics such as Computer vision that intersect with problems in Computer graphics.
His primary scientific interests are in Computer network, Communications system, Artificial intelligence, Distributed computing and Base station. His study in the fields of Network congestion under the domain of Computer network overlaps with other disciplines such as Streaming current. His studies in Artificial intelligence integrate themes in fields like Treatment options, Computer vision and Pattern recognition.
The Rendering and Pixel research Joo-hyung Lee does as part of his general Computer vision study is frequently linked to other disciplines of science, such as Memory footprint, therefore creating a link between diverse domains of science. His work carried out in the field of Distributed computing brings together such families of science as Energy consumption, Scheduling, Efficient energy use and Server. His Transmission research is multidisciplinary, incorporating perspectives in Node, Wired communication and Signal.
Joo-hyung Lee mostly deals with Server, Stackelberg competition, Microgrid, Electricity generation and Computer network. His Server study incorporates themes from Energy consumption, Computation offloading, Efficient energy use and Distributed computing. As part of the same scientific family, Joo-hyung Lee usually focuses on Microgrid, concentrating on Smart grid and intersecting with Simulation, Stability, Energy trading and Energy independence.
His Computer network study combines topics from a wide range of disciplines, such as Signal and Smart city. The various areas that Joo-hyung Lee examines in his Cellular network study include Deep learning and Artificial intelligence. His research integrates issues of Cancer and Pattern recognition in his study of Artificial intelligence.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Display screen portion with icon
Hye-Bin Park;You-Jin Im;Sora Kim;Joo-hyung Lee.
Time-of-flight measurement with femtosecond light pulses
Joohyung Lee;Young-Jin Kim;Keunwoo Lee;Sanghyun Lee.
Nature Photonics (2010)
A robust superhydrophobic and superoleophobic surface with inverse-trapezoidal microstructures on a large transparent flexible substrate
Maesoon Im;Hown Im;Joo Hyung Lee;Jun Bo Yoon.
Soft Matter (2010)
Distributed Energy Trading in Microgrids: A Game-Theoretic Model and Its Equilibrium Analysis
Joohyung Lee;Jun Guo;Jun Kyun Choi;Moshe Zukerman.
IEEE Transactions on Industrial Electronics (2015)
Touch sensible display device
Joo-hyung Lee;Hyung-Guel Kim;Kee-han Uh;Sang-Jin Pak.
Shift register, display device having the same and method of driving the same
Sang-Jin Pak;Joo-hyung Lee;Hyung-Guel Kim;Myung-Woo Lee.
Liquid crystal display and method of driving the same
Joo-hyung Lee;Sang-Jin Pak;Young-Ok Cha.
Liquid crystal display with integrated touch screen panel
Seung-Kyu Lee;Jin-woo Park;Dong-Hoon Lee;Chul-Ho Kim.
Liquid crystal display device including sensing element
Joo-hyung Lee;Kee-han Uh;Jong-Woung Park;Sang-jin Park.
Development of Single-Stranded DNA Aptamers for Specific Bisphenol A Detection
Minjoung Jo;Ji-Young Ahn;Joohyung Lee;Seram Lee.
Profile was last updated on December 6th, 2021.
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