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Lee, In Hwan,Ahn, Byungjun,Lee, Jeong Min,Lee, Chang Soo,Jung, Yongwon The Royal Society of Chemistry 2015 The Analyst Vol.140 No.10
<P>Water-soluble fluorescent silver nanoclusters (NCs) formed on biomolecule ligands have been extensively studied due to their great potential as new biocompatible fluorescent materials for biosensors. As synthetic ligands, proteins in particular can provide unique structures and functions to the assembled fluorescent silver clusters. A key challenge, however, is to develop appropriate protein ligands and synthetic approaches for cluster formation, especially using native aqueous solutions, to fully preserve the valuable properties of the protein templates. Here we report a human ferritin-templated synthesis of fluorescent silver NCs under neutral aqueous buffer conditions. The unique metal binding property of ferritin and an optimized silver ion reduction allowed us to produce highly stable fluorescent silver NCs that are steadily assembled in the cage-like ferritin proteins. The fluorescent clusters were also successfully assembled on genetically engineered ferritin with antibody-binding protein G. The resulting protein G-ferritin-silver NC complex fully retained the ferritin structure as well as the antibody binding ability. The present silver nanoclusters on ferritin (Ft-Ag NCs) also showed highly specific Cu<SUP>2+</SUP>-induced fluorescence quenching. By exploiting the large but stable nature of ferritin, we fabricated a highly robust and porous hydrogel sensor system for rapid Cu<SUP>2+</SUP> detection, where the Ft-Ag NCs were stably encapsulated in surface-bound hydrogels with large pore sizes. Our Ft-Ag NCs that are formed under native aqueous conditions will have great potential as a new fluorescent material with the high structural and functional diversities of ferritin.</P> <P>Graphic Abstract</P><P>Highly stable and copper-responsive fluorescent silver nanoclusters were assembled on human ferritin and retained the structure and function of the ferritin template as well as the fused binding protein. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=c4an02400a'> </P>
A Study on HMD-AR based Industrial Training System for Live Machinery Operation
Lee, Beomhee,Choi, Jinyeong,Choi, Byunghoon,Lee, Jisung,Min, Byungjun,Cho, Juphil The Institute of Internet 2018 International Journal of Internet, Broadcasting an Vol.10 No.1
As technological development is progressing recently, various technologies are actively being studied in the course of the 4th industrial revolution. So, even in the educational field, virtual reality and augmented reality technology are used in educational environments, but specialized additional equipment is required and the price is very expensive. Also, since a plurality of equipment are required for a large number of people, it is urgent to study the technology that can be effectively applied to the industrial education field. So in this paper, we propose an industrial training system for HMD-AR, MPEG-DASH and SOAP based HTTP based Live Machinery Operation using Smartphone to solve the problems of existing system.
Multimodal System by Data Fusion and Synergetic Neural Network
Byungjun Son,Yillbyung Lee 한국지능시스템학회 2005 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.5 No.2
In this paper, we present the multimodal system based on the fusion of two user-friendly biometric modalities: Iris and Face. In order to reach robust identification and verification we are going to combine two different biometric features. we specifically apply 2-D discrete wavelet transform to extract the feature sets of low dimensionality from iris and face. And then to obtain Reduced Joint Feature Vector(RJFV) from these feature sets, Direct Linear Discriminant Analysis (DLDA) is used in our multimodal system. In addition, the Synergetic Neural Network(SNN) is used to obtain matching score of the preprocessed data. This system can operate in two modes: to identify a particular person or to verify a person's claimed identity. Our results for both cases show that the proposed method leads to a reliable person authentication system.
A 1.03MOPS/W Lattice-based Post-quantum Cryptography Processor for IoT Devices
ByungJun Kim,Han-Gyeol Mun,Shinwoong Kim,JongMin Lee,Jae-Yoon Sim 대한전자공학회 2024 Journal of semiconductor technology and science Vol.24 No.1
This work introduces a configurable lattice-based post-quantum cryptography processor designed specifically for lightweight IoT devices. It accelerates the computation of Key-Encapsulation Mechanism (KEM) and Digital Signature Algorithm (DSA) based on module learning with errors algorithm (MLWE). In order to minimize both hardware cost and energy consumption, the processor incorporates a Barrett reduction algorithm method for efficient number-theoretic transform calculations and implements real-time processing for polynomial sampling. The chip is fabricated on a 28 nm CMOS technology process. It achieves the state-of-the-art power efficiencies and latency in MLWE-based PQC.
Graphene Quantum Dot Layers with Energy-Down-Shift Effect on Crystalline-Silicon Solar Cells
Lee, Kyung D.,Park, Myung J.,Kim, Do-Yeon,Kim, Soo M.,Kang, Byungjun,Kim, Seongtak,Kim, Hyunho,Lee, Hae-Seok,Kang, Yoonmook,Yoon, Sam S.,Hong, Byung H.,Kim, Donghwan American Chemical Society 2015 ACS APPLIED MATERIALS & INTERFACES Vol.7 No.34
<P>Graphene quantum dot (GQD) layers were deposited as an energy-down-shift layer on crystalline-silicon solar cell surfaces by kinetic spraying of GQD suspensions. A supersonic air jet was used to accelerate the GQDs onto the surfaces. Here, we report the coating results on a silicon substrate and the GQDs’ application as an energy-down-shift layer in crystalline-silicon solar cells, which enhanced the power conversion efficiency (PCE). GQD layers deposited at nozzle scan speeds of 40, 30, 20, and 10 mm/s were evaluated after they were used to fabricate crystalline-silicon solar cells; the results indicate that GQDs play an important role in increasing the optical absorptivity of the cells. The short-circuit current density was enhanced by about 2.94% (0.9 mA/cm<SUP>2</SUP>) at 30 mm/s. Compared to a reference device without a GQD energy-down-shift layer, the PCE of p-type silicon solar cells was improved by 2.7% (0.4 percentage points).</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/aamick/2015/aamick.2015.7.issue-34/acsami.5b03672/production/images/medium/am-2015-03672b_0008.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/am5b03672'>ACS Electronic Supporting Info</A></P>