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David Karamankodu Jacob,Hancock David Lawrence,Han Ho-Yeon,Gracy Gandhi R,Sachin K.,Swathi R.S. 한국응용곤충학회 2021 Journal of Asia-Pacific Entomology Vol.24 No.4
Gibbifronta pavoniae David, Hancock and Han, gen. et sp. nov., is described from India. The current status of the subtribe Acidoxanthina is scrutinized based on both morphological characters and DNA barcoding analysis, and this taxon is formally proposed as the tribe Acidoxanthini within the subfamily Trypetinae in order to accom modate the genera Gibbifronta, Acidoxantha Hendel, Craspedoxanthitea Hardy and Acidoxanthopsis Hering. We found that the members of the Acidoxanthini possess a unique characteristic within the family Tephritidae, the short and broadly truncate lateral surstylus with reduced prensisetae and 1–3 pairs of strong dorsal setae on epandrium. Even though comparable information is not available for Acidoxanthopsis, it is retained in Acid oxanthini. Gibbifronta is distinguished from other genera of the tribe by the presence of a high gena and prominent hump-like projection on the frons. Phylogenetic analysis based on DNA barcodes revealed that Gib bifronta is closely related to Acidoxantha and support its placement in Acidoxanthini. COI sequences of Gibbifronta pavoniae, Nitrariomyia lukjanovitshi Rohdendorf, Acidoxantha galibeedu David and Ramani and an undescribed Acidoxantha species have been obtained and reported. A key to the genera of Acidoxanthini is also provided. http://zoobank.org/100D010D-21D3-4F0B-B38E-1F72DC8E9BF3.
Han, Jisu,Kim, Youngmin,Jackson, David H.K.,Jeong, Kwang-Eun,Chae, Ho-Jeong,Lee, Kwan-Young,Kim, Hyung Ju Elsevier 2018 Electrochemistry communications Vol.96 No.-
<P><B>Abstract</B></P> <P>In this study, an atomically controlled thin TiO<SUB>2</SUB> layer was coated on Au/C by atomic layer deposition (ALD). The resulting TiO<SUB>2</SUB> coated Au/C (ALD(TiO<SUB>2</SUB>)-Au/C) was used as a catalyst for electrocatalytic glycerol oxidation in alkaline media. Interactions between Au and TiO<SUB>2</SUB> in the ALD(TiO<SUB>2</SUB>)-Au/C catalyst improved the catalytic activity and stability for glycerol oxidation. Additionally, the reaction pathway for glycerol oxidation changes due to the Au-TiO<SUB>2</SUB> interfaces formed by ALD. This performance enhancement of electrocatalytic glycerol oxidation on ALD(TiO<SUB>2</SUB>)-Au/C is attributed to the role of TiO<SUB>2</SUB> in facilitating oxidation of the Au surface.</P> <P><B>Highlights</B></P> <P> <UL> <LI> The role of Au-TiO<SUB>2</SUB> interfacial sites was studied for glycerol electrooxidation. </LI> <LI> Thin TiO<SUB>2</SUB> layers were deposited on Au/C by atomic layer deposition to form Au-TiO<SUB>2</SUB> interfaces. </LI> <LI> TiO<SUB>2</SUB> deposition on Au/C led to improved catalytic performances for glycerol electrooxidation in alkaline medium. </LI> </UL> </P>
Wang, Han,Yoon, Sang Min,Han, David K.,Ko, Hanseok Elsevier 2017 Pattern recognition letters Vol.94 No.-
<P><B>Abstract</B></P> <P>This paper proposes a feature descriptor based on the local patch clustering distribution (LPCD), which preserves the salient features of a given image following changes in illumination. To mitigate the effects of illumination change, the proposed LPCD methodology consists of two steps. First, a local patch clustering assignment map is constructed by pairing the source image with a reference image. To resolve the quantization problem caused by an illumination change, a dual-codebook clustering method is employed so that an effective local patch clustering feature space can be constructed. Second, in the feature encoding process, the impact of the informative local patches that contain textural information is enhanced when using a saliency detection response as a method of weighting every local patch when the histogram feature is extracted. Experimental results show that the proposed local patch clustering space is more robust than the conventional intensity order-based space in response to changes in illumination.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Local patch clustering distribution is proposed for use in illumination-robust image matching. </LI> <LI> A dual codebook is proposed to generate local patch clustering distributions. </LI> <LI> A saliency detection response increases the effectiveness of the proposed LPCD. </LI> </UL> </P>
Enhancing Underwater Color Images via Optical Imaging Model and Non-Local Means Denoising
PARK, Dubok,HAN, David K.,KO, Hanseok 'Institute of Electronics, Information and Communi 2017 IEICE transactions on information and systems Vol.100e.d No.7
<P>This paper proposes a novel framework for enhancing underwater images captured by optical imaging model and non-local means denoising. The proposed approach adjusts the color balance using biasness correction and the average luminance. Scene visibility is then enhanced based on an underwater optical imaging model. The increase in noise in the enhanced images is alleviated by non-local means (NLM) denoising. The final enhanced images are characterized by improved visibility while retaining color fidelity and reducing noise. The proposed method does not require specialized hardware nor prior knowledge of the underwater environment.</P>
Continuous hand gesture recognition based on trajectory shape information
Yang, Cheoljong,Han, David K.,Ko, Hanseok Elsevier 2017 Pattern recognition letters Vol.99 No.-
<P><B>Abstract</B></P> <P>In this paper, we propose a continuous hand gesture recognition method based on trajectory shape information. A key issue in recognizing continuous gestures is that performance of conventional recognition algorithms may be lowered by such factors as, unknown start and end points of a gesture or variations in gesture duration. These issues become particularly difficult for those methods that rely on temporal information. To alleviate the issues of continuous gesture recognition, we propose a framework that simultaneously performs both segmentation and recognition. Each component of the framework applies shape-based information to ensure robust performance for gestures with large temporal variation. A gesture trajectory is divided by a set of key frames by thresholding its tangential angular change. Variable-sized trajectory segments are then generated using the selected key frames. For recognition, these trajectory segments are examined to determine whether the segment belongs to a class among intended gestures or a non-gesture class based on fusion of shape information and temporal features. In order to assess performance, the proposed algorithm was evaluated with a database of digit hand gestures. The experimental results indicate that the proposed algorithm has a high recognition rate while maintaining its performance in the presence of continuous gestures.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Simultaneous recognition and segmentation of continuous hand gesture trajectories based on trajectory shape information. </LI> <LI> Generating variable sized candidates for trajectory segments using shape-based key frame extraction. </LI> <LI> Fusion of trajectory shape recognition and temporal feature recognition to stream gesture input. </LI> </UL> </P>
Full Azimuth Multiple Sound Source Localization with 3-Channel Microphone Array
SHON, Suwon,HAN, David K.,BEH, Jounghoon,KO, Hanseok The Institute of Electronics, Information and Comm 2012 IEICE transactions on fundamentals of electronics, Vol.95 No.4
<P>This paper describes a method for estimating Direction Of Arrival (DOA) of multiple sound sources in full azimuth with three microphones. Estimating DOA with paired microphone arrays creates imaginary sound sources because of time delay of arrival (TDOA) being identical between real and imaginary sources. Imaginary sound sources can create chronic problems in multiple Sound Source Localization (SSL), because they can be localized as real sound sources. Our proposed approach is based on the observation that each microphone array creates imaginary sound sources, but the DOA of imaginary sources may be different depending on the orientation of the paired microphone array. With the fact that a real source would always be localized in the same direction regardless of the array orientation, we can suppress the imaginary sound sources by minimum filtering based on Steered Response Power — Phase Transform (SRP-PHAT) method. A set of experiments conducted in a real noisy environment showed that the proposed method was accurate in localizing multiple sound sources.</P>
박진수,김원일,David K. Han,고한석 한국전자통신연구원 2016 ETRI Journal Vol.38 No.2
This paper describes an algorithm to suppress composite noise in a two-microphone speech enhancement system for robust hands-free speech communication. The proposed algorithm has four stages. The first stage estimates the power spectral density of the residual stationary noise, which is based on the detection of nonstationary signal-dominant time-frequency bins (TFBs) at the generalized sidelobe canceller output. Second, speech-dominant TFBs are identified among the previously detected nonstationary signal-dominant TFBs, and power spectral densities of speech and residual nonstationary noise are estimated. In the final stage, the bin-wise output signal-to-noise ratio is obtained with these power estimates and a Wiener post-filter is constructed to attenuate the residual noise. Compared to the conventional beamforming and post-filter algorithms, the proposed speech enhancement algorithm shows significant performance improvement in terms of perceptual evaluation of speech quality.
KIM, Daehun,KU, Bonhwa,HAN, David K.,KO, Hanseok 'Institute of Electronics, Information and Communi 2017 IEICE transactions on information and systems Vol.100e.d No.6
<P>In this paper, an algorithm is proposed for license plate recognition (LPR) in video traffic surveillance applications. In an LPR system, the primary steps are license plate detection and character segmentation. However, in practice, false alarms often occur due to images of vehicle parts that are similar in appearance to a license plate or detection rate degradation due to local illumination changes. To alleviate these difficulties, the proposed license plate segmentation employs an adaptive binarization using a superpixel-based local contrast measurement. From the binarization, we apply a set of rules to a sequence of characters in a sub-image region to determine whether it is part of a license plate. This process is effective in reducing false alarms and improving detection rates. Our experimental results demonstrate a significant improvement over conventional methods.</P>