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Image segmentation using linked mean-shift vectors and its implementation on GPU
Hanjoo Cho,Suk-Ju Kang,Sung In Cho,Young Hwan Kim IEEE 2014 IEEE transactions on consumer electronics Vol.60 No.4
<P>This paper proposes a new approach to meanshift- based image segmentation that uses a non-iterative process to determine the maxima of the underlying density, which are called modes. To identify the mode, the proposed approach performs a mean-shift process on each pixel only once, and uses the resulting mean-shift vectors to construct links for the pairs of pixels, instead of iteratively performing the mean-shift process. Then, it groups the pixels of the same mode, connected through the links, into the same cluster. Although the proposed approach performs the mean-shift process only once, it provides comparable segmentation quality to the conventional approaches. In experiments using benchmark images, the processing time was reduced to a quarter, while probabilistic rand index and segmentation covering were well maintained; they were degraded by only 0.38% and 1.87%, respectively. Furthermore, the proposed algorithm improves the locality of the required data and compute-intensity of the algorithm, which are important factors for utilizing the GPU effectively. The proposed algorithm, when implemented on a GPU, improved the processing speed by over 75 times compared to implementation on a CPU, while the conventional approach was accelerated by about 15 times.</P>
Image Segmentation Using Linked Mean-Shift Vectors and Global/Local Attributes
Hanjoo Cho,Suk-Ju Kang,Young Hwan Kim IEEE 2017 IEEE transactions on circuits and systems for vide Vol.27 No.10
<P>This paper proposes novel noniterative mean-shift-based image segmentation that uses global and local attributes. The existing mean-shift-based methods use a fixed range bandwidth, and hence their accuracy is dependent on the range spectrum of an image. To resolve this dependency, this paper proposes to modify the range kernel in the mean-shift process to be anisotropic. The modification is conducted using a global attribute defined as the range covariance matrix of the image. Further, to alleviate oversegmentation, the proposed method merges the segments having similar local attributes more aggressively than other segments. The local attribute for each segment is defined as the sum of the variances of the chromatic components. Finally, to expedite the processing, the proposed method uses a region adjacency graph (RAG) for the merging process, thus differing from the existing linked mean-shift-based methods. In the experiments on the Berkeley segmentation data set, the use of the global and local attributes improved segmentation accuracy; the proposed method outperformed the state-of-the-art linked mean-shift-based method by showing an improvement of 2.15%, 3.16%, 3.32%, and 1.90% in probability rand index, segmentation covering, variation of information, and F-measure, respectively. Further, compared with the benchmark method, which uses the dilating and merging scheme, the proposed method improved the speed of the merging process 42 times by applying the RAG.</P>
이한주(Hanjoo Lee),박무혁(Muhyeok Park),김보경(Bogyeng Kim),서영진(Yungjin Seo),전용우(Yungu Jun) 한국추진공학회 2014 한국추진공학회 학술대회논문집 Vol.2014 No.12
터보팬 엔진은 공중 또는 지상에서 공기의 흡입, 압축, 연소, 배기의 과정을 수행하기 위해 여러 가지 하드웨어/소프트웨어 시스템들이 유기적으로 맞물려 하나의 주 동작을 수행한다. 특히 엔진의 시동에서부터 Take-off Power 추력을 내는 과정은 짧은 시간 안에 여러 단계의 절차들을 거치게 된다. 조종사의 시동 명령과 PLA(Power Level Angle)에 따라 엔진의 추력을 조절하는 장치인 EECU(Electrical Engine Control Unit)는 조종사의 명령을 수행하기 위해 엔진의 연료 시스템, 오일 시스템, 점화 시스템, 시동 시스템등 각각의 서브시스템과 연동되어 전체적인 엔진제어를 수행한다. 본 논문에서는 이러한 EECU 장치에 사용되는 엔진제어 S/W를 구성하고 시뮬레이션을 수행하였다. Turbo-Fan Engine has several Hardware/Software Systems for acting main function which intake, compress, combustion and exhaust of air. In particular, a process of Take-off Power thrust from starting of the engine is subjected to a process of several steps in a short time. To manage these process, EECU(Electrical Engine Control Unit) controls fuel system, Oil system, Ignition system and Start up system through ADU(Actuator Driver Unit), EPU(Engine Power Unit) and sensors. In this paper, we designed engine control software and used for SILS(Software in the Loop System) and HILS(Hardware in the Loop System)
이한주(Hanjoo Lee),이정엽(Jeongyeop Lee),정해석(Haesok Jeong),민세원(Sewon Min) 한국자동차공학회 2014 한국자동차공학회 학술대회 및 전시회 Vol.2014 No.11
With advances in modern society’s technology, there have been a lot of products which substitute for person and pursue convenience. At the same time, the emotional quality level of people who utilize these products has also increased. Therefore, it is necessary to establish objective criteria which can substitute for people’s emotional assessment. The study’s main goal and significance are that handling feeling, the index of emotional assessment, of vehicle’s interior switches becomes quantifiable and is applied to design variable during the product development. However, we point out that there was a limitation on emotion’s objectification due to restricted quantity of examples, so we leave analysis of extensive handling feeling with a number of examples as remaining tasks.
vHoT: a database for predicting interspecies interactions between viral microRNA and host genomes.
Kim, Hanjoo,Park, Seunghyun,Min, Hyeyoung,Yoon, Sungroh Springer-Verlag 2012 Archives of virology Vol.157 No.3
<P>Some viruses have been reported to transcribe microRNAs, implying complex relationships between the host and the pathogen at the post-transcriptional level through microRNAs in virus-infected cells. Although many computational algorithms have been developed for microRNA target prediction, few have been designed exclusively to find cellular or viral mRNA targets of viral microRNAs in a user-friendly manner. To address this, we introduce the viral microRNA host target (vHoT) database for predicting interspecies interactions between viral microRNA and host genomes. vHoT supports target prediction of 271 viral microRNAs from human, mouse, rat, rhesus monkey, cow, and virus genomes. vHoT is freely available at http://dna.korea.ac.kr/vhot.</P>