Mi Sun Park

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OBJECTIVES Recent genetic association studies have provided convincing evidence that several novel loci and single nucleotide polymorphisms (SNPs) are associated with the risk of developing type 2 diabetes mellitus (T2DM). The aims of this study were: 1) to develop a predictive model of T2DM using genetic and clinical data; and 2) to compare(More)
A significant challenge in creating machines with artificial vision is designing systems which can process visual information as efficiently as the brain. To address this challenge, we identify key algorithms which model the process of attention and recognition in the visual cortex of mammals. This paper presents Cover - an FPGA framework for generating(More)
Advances in neuroscience have enabled researchers to develop computational models of auditory, visual and learning perceptions in the human brain. HMAX, which is a biologically inspired model of the visual cortex, has been shown to outperform standard computer vision approaches for multi-class object recognition. HMAX, while computationally demanding, can(More)
Recently significant advances have been achieved in understanding the visual information processing in the human brain. The focus of this work is on the design of an architecture to support HMAX, a widely accepted model of the human visual pathway. The computationally intensive nature of HMAX and wide applicability in real-time visual analysis application(More)
To gain a better understanding of teachers' beliefs about, perceptions of, and classroom practices using STEM integration, a multi-case case study was conducted with three middle school teachers. These teachers were purposefully selected from a pool of teachers involved in a year-long professional development module on STEM integration to represent science,(More)
Compute-intensive applications are emerging in intelligent home, retail store and automotive industries. These applications are becoming more sophisticated with new features rich in audio, video, image, and machine learning capabilities that demand heavy computations. We present the EMERALD (EMERging Applications and algorithms for Low power Device)(More)
OBJECTIVES Vibrio vunificus is known to cause septicemia and severe wound infections in patients with chronic liver diseases or an immuno-compromised condition. We carried out the molecular characterization of V. vulnificus isolates from human Vibrio septicemia cases based on pulsed-field gel electrophoresis (PFGE) using NotI and SfiI. METHODS AND RESULTS(More)
BACKGROUND Conventional biomarkers cannot always establish the cause of pleural effusions; thus, alternative tests permitting rapid and accurate diagnosis are required. The primary aim of this study is to assess the ability of pentraxin-3 (PTX3) in order to diagnose the cause of pleural effusion and compare its efficacy to that of other previously(More)
Video and image content has begun to play a growing role in many applications, ranging from video games to autonomous self-driving vehicles. In this paper, we present accelerators for gist-based scene recognition, saliency-based attention, and HMAX-based object recognition that have multiple uses and are based on the current understanding of the vision(More)