J
Jeong-A Lee
Researcher at Chosun University
Publications - 126
Citations - 855
Jeong-A Lee is an academic researcher from Chosun University. The author has contributed to research in topics: Adder & Error detection and correction. The author has an hindex of 13, co-authored 121 publications receiving 672 citations. Previous affiliations of Jeong-A Lee include University of California, Los Angeles & Gwangju Institute of Science and Technology.
Papers
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Journal ArticleDOI
Constant-factor redundant CORDIC for angle calculation and rotation
Jeong-A Lee,Tomás Lang +1 more
TL;DR: A constant-factor redundant-CordIC (CFR-CORDIC) scheme, where the scale factor is kept constant while an angle for plane rotations is computed, is developed and found to provide an execution time similar to that of redundant CORDIC with a variable scaling factor, with a significant saving in area.
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Design and Performance Evaluation of a Low-Cost Autonomous Sensor Interface for a Smart IoT-Based Irrigation Monitoring and Control System.
TL;DR: This study aims to design a low-cost autonomous sensor interface to automate the monitoring and control of irrigation systems in remote locations, and to optimize water use for irrigation farming in a smart irrigation systems.
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Quantitative Assessment of Balance Impairment for Fall-Risk Estimation Using Wearable Triaxial Accelerometer
TL;DR: An objective, cost-effective, and unsupervised method to obtain functional balance and mobility assessment-based fall-risk of community-dwelling older adults using waist-mounted triaxial accelerometer signals acquired from directed routine to estimate the well-known clinical assessment score-Berg balance scale (BBS).
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Efficient TCAM Design Based on Multipumping-Enabled Multiported SRAM on FPGA
TL;DR: A multipumping-enabled multiported SRAM-based TCAM design on FPGA, to achieve an efficient utilization of SRAM memory and achieves up to 2.85 times better performance per memory.
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Fast 3D Computational Integral Imaging Using Graphics Processing Unit
TL;DR: This paper presents a fast three-dimensional (3D) integral imaging system via a graphics processing unit (GPU) which allows parallel processing with multiple processors and shows that it can significantly accelerate 3D scene reconstruction in II using the GPU based stream-processing model.