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Hyun-Woo Lee,Hoon Choi,Beom-Ju Shin,Kyung-Hoon Kim,Kyung-Whan Kim,Jaeil Kim,Kwang-Hyun Kim,Jong-Ho Jung,Jae-Hwan Kim,Eun-Young Park,Jong-Sam Kim,Jong-Hwan Kim,Jin-Hee Cho,Namgyu Rye,Jun-Hyun Chun,Yuns IEEE 2012 IEEE journal of solid-state circuits Vol.47 No.6
<P>The digital delay-locked loop (DLL) with racing mode and the countered column address strobe (CAS) latency controller are proposed in this paper. The dual-DLL architecture with racing operation is adopted to achieve low power consumption, low jitter, fast locking, wide range of locking, and stuck-free control. The merged dual coarse delay line (MDCDL) reduces the dynamic power consumption of a variable delay line by 30% by sharing a part of the delay line path in DLL. In addition, jitter is reduced by 45 ps in the 1066-DDR3 operating mode by MDCDL. The proposed DLL utilizes an or-and functioned duty cycle corrector (or-and DCC), which consumes 15% of DLL's power, 0.915 pJ/Hz at tCK=1.5 ns and VDD=1.575 V. The countered CAS latency controller (CCLC) saves IDD3N current because it does not need a DLL clock and does not need to be activated for IDD3N (active non-power down) state. The DLL clock is enabled and CCLC is activated only when the read command is issued. This operation condition saves the IDD3N current by 60% with the proposed DLL. The proposed DLL is employed in 128 M×8 DDR3 SDRAM and 64 M×16 DDR3 SDRAM. The former and the latter are fabricated by 5×nm and by 4× nm DRAM process technology, respectively. Experimental results show that ±10% duty error of the external clock can be corrected to within ±2% duty error in less than 512 cycles of locking time under 1.5 ns of tCK. The proposed DLL and CCLC can operate above 1.0-GHz operating frequency at 1.2 V in 5× nm DDR3 SDRAM and at 1.0 V in 4× nm DDR3 SDRAM, respectively. The proposed DLL fabricated with 4× nm technology consumes 6.1 pJ/Hz at 1.575 V.</P>
Graph SLAM을 통한 산악형 도심지역의 고정밀지도 작성 및 위치 인식 시스템에 대한 연구
김현우(Hyunwoo Kim),최윤중(YunJung Choi),강동완(DongWan Kang),김상준(SangJun Kim),길현준(HyunJun Gil),서주원(JuWon Seo),박선영(SunYoung Park),김재일(JaeIl Kim),임효진(HyoJin Lim),김정하(JungHa Kim) 한국자동차공학회 2022 한국자동차공학회 학술대회 및 전시회 Vol.2022 No.11
This paper suggests a localization system architecture of unmanned vehicle for autonomous driving. In this system, Graph SLAM algorithm is used for correction of accumulated errors acquired from scan matching algorithm. On this paper, the experiments are proceeded in environment of mountainous city which have continuous elevations. The acceleration and magnetic data from IMU, RTK corrected GNSS are used for graph optimization and loop closure on mapping. NDT scan matching algorithm is used for localization.
Lee, In Joon,Park, Ji Yong,Kim, Young-il,Lee, Yun-Sang,Jeong, Jae Min,Kim, Jaeil,Kim, Euishin Edmund,Kang, Keon Wook,Lee, Dong Soo,Jeong, Seonji,Kim, Eun Jeong,Kim, Young Il,Chung, Jin Wook MIT PRESS 2017 MOLECULAR IMAGING Vol.16 No.-
<P>The aim of this study is to evaluate the localization of <SUP>99m</SUP>Tc-labeled dextran-coated superparamagnetic iron oxide (SPIO) nanoparticles to the liver tumor using image-based analysis. We delivered <SUP>99m</SUP>Tc-SPIO intravenously or intra-arterially (IA) with/without Lipiodol to compare the tumor localization by gamma scintigraphy, single-photon emission computed tomography (SPECT), and magnetic resonance imaging (MRI) in a rabbit liver tumor. The gamma and SPECT image-based analysis shows that the uptake ratio of the tumor to the normal liver parenchyma is highest after delivery of <SUP>99m</SUP>Tc-SPIO with Lipiodol IA and that well correlates with the trend of the signal decrease in the liver MRIs. Intra-arterial delivery of SPIO with Lipiodol might be a good drug delivery system targeting the hepatic tumors, as confirmed by image-based analysis.</P>
Molecular Imaging of Colorectal Tumors by Targeting Colon Cancer Secreted Protein-2 (CCSP-2)
Kim, Jaeil,Do, Eun-ju,Moinova, Helen,Bae, Sang Mun,Kang, Ja Young,Hong, Seung-Mo,Fink, Stephen P.,Joo, Jinmyoung,Suh, Young-Ah,Jang, Se Jin,Hwang, Sung Wook,Park, Sang Hyoung,Yang, Dong-Hoon,Ye, Byong Neoplasia Press 2017 Neoplasia Vol.19 No.10
<P>A versatile biomarker for detecting colonic adenoma and colon cancer has yet to be developed. Colon cancer secreted protein-2 (CCSP-2) is a protein specifically expressed and secreted in colon adenomas and cancers. We developed a fluorescent imaging method based on CCSP-2 targeting for a more sensitive and specific detection of colorectal tumors. CCSP-2 expression was evaluated in human colon adenoma and colorectal specimens. Anti–CCSP-2 antibody was labeled with a near-infrared fluorescent dye, FPR-675, and molecular imaging of surgical human colorectal tumors was performed. Immunohistochemistry identified CCSP-2 expression in 87.0% of colorectal cancer specimens and 89.5% of colon adenoma specimens. Fluorescence imaging of surgical human colon specimens after spraying treatment with the probe permitted a clear distinction of cancer from paired normal colon tissue (target-to-background ratio, 4.09 ± 0.42; <I>P</I> < .001). CCSP-2 targeting imaging was also evaluated in patient-derived colon cancer xenograft mouse and liver metastasis murine models. CCSP-2–positive colon cancer xenografts and liver metastases were visualized by near-infrared fluorescence imaging after intravenous injection of the probe, which showed significantly higher fluorescence. Our results show that CCSP-2 is a promising marker for colorectal tumor detection in clinical settings and that a CCSP-2–targeting molecular imaging strategy might improve the diagnosis of colorectal tumors in metastatic or recurrent cancers and aid in early colonoscopic detection of premalignant lesions.</P>