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Kim, Tae-Yang,Park, Sunhwa,Yoon, Younggun,Lee, Ji-Hoon,Jeon, Jeongsuk,Kim, Mi Sug,Kim, Yoojin,Kim, Min Gyu,Hur, Hor-Gil American Chemical Society 2019 ACS APPLIED MATERIALS & INTERFACES Vol.11 No.7
<P>Ferrihydrite, or iron(III) (oxyhydr)oxide (Fe(OH)<SUB>3</SUB>), a representative scavenger of environmentally relevant toxic elements, has been repurposed as a low-cost and scalable precursor of well-developed hematite (α-Fe<SUB>2</SUB>O<SUB>3</SUB>) secondary nanoclusters with a hierarchically structured morphology for lithium-ion anode materials. Here, we report that the bacteria <I>Clostridium</I> sp. C8, isolated from a methane-gas-producing consortium, can synthesize self-assembled secondary hematite nanoclusters (∼150 nm) composed of small nanoparticles (∼15 nm) through the molecular structural rearrangement of amorphous ferrihydrite under mild conditions. The biogenic hematite particles, wrapped with graphene oxide reduced in situ by the reducing bacteria <I>Shewanella</I> sp. HN-41 via one-pot synthesis, deliver an excellent reversible capacity of ∼1000 mA h g<SUP>-1</SUP> after 100 cycles at a current density of 1 A g<SUP>-1</SUP>. Furthermore, the heat-treated hematite/rGO exhibits a capacity of 820 mA h g<SUP>-1</SUP> at a high current density of 5 A g<SUP>-1</SUP> and a reversible capacity of up to 1635 mA h g<SUP>-1</SUP> at a current density of 100 mA g<SUP>-1</SUP>. This study provides an easy, eco-efficient, and scalable microbiological synthetic route to produce hierarchical hematite/rGO secondary nanoclusters with potential as high-performance Li-ion anode materials.</P> [FIG OMISSION]</BR>
An Inductive 2-D Position Detection IC With 99.8% Accuracy for Automotive EMR Gear Control System
Kim, SangYun,Abbasizadeh, Hamed,Ali, Imran,Kim, Hongjin,Cho, SungHun,Pu, YoungGun,Yoo, Sang-Sun,Lee, Minjae,Hwang, Keum Cheol,Yang, Youngoo,Lee, Kang-Yoon IEEE 2017 IEEE transactions on very large scale integration Vol.25 No.5
<P>In this paper, the analog front end (AFE) for an inductive position sensor in an automotive electromagnetic resonance gear control applications is presented. To improve the position detection accuracy, a coil driver with an automatic two-step impedance calibration is proposed which, despite the load variation, provides the desired driving capability by controlling the main driver size. Also, a time shared analog-todigital converter (ADC) is proposed to convert eight-phase signals while reducing the current consumption and area to 1/8 of the conventional structure. A relaxation oscillator with temperature compensation is proposed to generate a constant clock frequency in vehicle temperature conditions. This chip is fabricated using a 0.18-mu m CMOS process and the die area is 2 mm x 1.5 mm. The power consumption of the AFE is 23.1 mW from the supply voltage of 3.3 V to drive one transmitter (Tx) coil and eight receiver (Rx) coils. The measured position detection accuracy is greater than 99.8 %. The measurement of the Tx shows a driving capability higher than 35 mA with respect to the load change.</P>
Automatic wall slant angle map generation using 3D point clouds
Kim, Jeongyun,Yun, Seungsang,Jung, Minwoo,Kim, Ayoung,Cho, Younggun Electronics and Telecommunications Research Instit 2021 ETRI Journal Vol.43 No.4
Recently, quantitative and repetitive inspections of the old urban area were conducted because many structures exceed their designed lifetime. The health of a building can be validated from the condition of the outer wall, while the slant angle of the wall widely serves as an indicator of urban regeneration projects. Mostly, the inspector directly measures the inclination of the wall or partially uses 3D point measurements using a static light detection and ranging (LiDAR). These approaches are costly, time-consuming, and only limited space can be measured. Therefore, we propose a mobile mapping system and automatic slant map generation algorithm, configured to capture urban environments online. Additionally, we use the LiDAR-inertial mapping algorithm to construct raw point clouds with gravity information. The proposed method extracts walls from raw point clouds and measures the slant angle of walls accurately. The generated slant angle map is evaluated in indoor and outdoor environments, and the accuracy is compared with real tiltmeter measurements.