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Object Tracking in 3-D Space with Passive Acoustic Sensors using Particle Filter
( Jinseok Lee ),( Shung Han Cho ),( Sangjin Hong ),( Jaechan Lim ),( Seong-jun Oh ) 한국인터넷정보학회 2011 KSII Transactions on Internet and Information Syst Vol.5 No.9
This paper considers the object tracking problem in three dimensional (3-D) space when the azimuth and elevation of the object are available from the passive acoustic sensor. The particle filtering technique can be directly applied to estimate the 3-D object location, but we propose to decompose the 3-D particle filter into the three planes` particle filters, which are individually designed for the 2-D bearings-only tracking problems. 2-D bearing information is derived from the azimuth and elevation of the object to be used for the 2-D particle filter. Two estimates of three planes` particle filters are selected based on the characterization of the acoustic sensor operation in a noisy environment. The Cramer-Rao Lower Bound of the proposed 2-D particle filter-based algorithm is derived and compared against the algorithm that is based on the direct 3-D particle filter.
Lee, Jongkeun,Lee, Andy ,Jinseok,Lee, June-Koo,Park, Jongkeun,Kwon, Youngoh,Park, Seongyeol,Chun, Hyonho,Ju, Young Seok,Hong, Dongwan Oxford University Press 2018 Nucleic acids research Vol.46 No.w1
<P><B>Abstract</B></P><P>Somatic genome mutations occur due to combinations of various intrinsic/extrinsic mutational processes and DNA repair mechanisms. Different molecular processes frequently generate different signatures of somatic mutations in their own favored contexts. As a result, the regional somatic mutation rate is dependent on the local DNA sequence, the DNA replication/RNA transcription dynamics and epigenomic chromatin organization landscape in the genome. Here, we propose an online computational framework, termed Mutalisk, which correlates somatic mutations with various genomic, transcriptional and epigenomic features in order to understand mutational processes that contribute to the generation of the mutations. This user-friendly tool explores the presence of localized hypermutations (<I>kataegis</I>), dissects the spectrum of mutations into the maximum likelihood combination of known mutational signatures and associates the mutation density with numerous regulatory elements in the genome. As a result, global patterns of somatic mutations in any query sample can be efficiently screened, thus enabling a deeper understanding of various mutagenic factors. This tool will facilitate more effective downstream analyses of cancer genome sequences to elucidate the diversity of mutational processes underlying the development and clonal evolution of cancer cells. Mutalisk is freely available at http://mutalisk.org.</P>
Development of a DNA microarray for species identification of quarantine aphids
Lee, Won Sun,Choi, Hwalran,Kang, JinSeok,Kim, Ji‐,Hoon,Lee, Si Hyeock,Lee, Seunghwan,Hwang, Seung Yong John Wiley Sons, Ltd 2013 Pest Management Science Vol.69 No.12
<P><B>Abstract</B></P><P><B>BACKGROUND</B></P><P><B>Aphid pests are being brought into Korea as a result of increased crop trading. Aphids exist on growth areas of plants, and thus plant growth is seriously affected by aphid pests. However, aphids are very small and have several sexual morphs and life stages, so it is difficult to identify species on the basis of morphological features. This problem was approached using DNA microarray technology</B>.</P><P><B>results</B></P><P><B>DNA targets of the cytochrome <I>c</I> oxidase subunit I gene were generated with a fluorescent dye‐labelled primer and were hybridised onto a DNA microarray consisting of specific probes. After analysing the signal intensity of the specific probes, the unique patterns from the DNA microarray, consisting of 47 species‐specific probes, were obtained to identify 23 aphid species. To confirm the accuracy of the developed DNA microarray, ten individual blind samples were used in blind trials, and the identifications were completely consistent with the sequencing data of all individual blind samples</B>.</P><P><B>CONCLUSION</B></P><P><B>A microarray has been developed to distinguish aphid species. DNA microarray technology provides a rapid, easy, cost‐effective and accurate method for identifying aphid species for pest control management. © 2013 Society of Chemical Industry</B></P>
Acoustic Sensor-Based Multiple Object Tracking with Visual Information Association
Lee, Jinseok,Hong, Sangjin,Moon, Nammee,Oh, Seong-Jun Hindawi Publishing Corporation 2010 EURASIP journal on advances in signal processing Vol.2010 No.1
<P>Object tracking by an acoustic sensor based on particle filtering is extended for the tracking of multiple objects. In order to overcome the inherent limitation of the acoustic sensor for the simultaneous multiple object tracking, support from the visual sensor is considered. Cooperation from the visual sensor, however, is better to be minimized, as the visual sensor's operation requires much higher computational resources than the acoustic sensor-based estimation, especially when the visual sensor is not dedicated to object tracking and deployed for other applications. The acoustic sensor mainly tracks multiple objects, and the visual sensor supports the tracking task only when the acoustic sensor has a difficulty. Several techniques based on particle filtering are used for multiple object tracking by the acoustic sensor, and the limitations of the acoustic sensor are discussed to identify the need for the visual sensor cooperation. Performance of the triggering-based cooperation by the two visual sensors is evaluated and compared with a periodic cooperation in a real environment.</P>