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Jeong Jaehoon,Bisht Himani,Ryu Sanghyun,Hong Daewha 대한화학회 2022 Bulletin of the Korean Chemical Society Vol.43 No.6
Polymer brush surfaces have various interesting applications; however, to facilitate their formation on surfaces, an initiator ad-layer is required in advance. In this study, we developed a versatile initiator film that simultaneously meets the standards of uniformity and stability using a simple surface coating strategy. In brief, co-deposition of dopamine and polyethyleneimine formed a polydopamine/polyethyleneimine (pDP) film, which was then acylated with external α-bromoisobutyryl bromide. The resultant initiator film, pDP functionalized with initiator (pDPI), showed a homogeneous surface morphology and resisted harsh solvent conditions. The subsequent surface-initiated polymerization from the developed pDPI initiator layer also formed a thick polymer brush.
Jaehoon Jeong,Sungho Nam,Hwajeong Kim,Youngkyoo Kim IEEE 2014 IEEE journal of selected topics in quantum electro Vol.20 No.6
<P>We report inverted-type organic photodetectors with zinc oxide (ZnO) electron-collecting buffer layers and polymer:fullerene bulk heterojunction active layers. A visible light was detected by the inverted organic photodetectors when a background UV light was ON, whereas no photocurrent signal was measured for visible lights without the background UV light. Interestingly, UV lights solely were successfully detected without any surrounding UV light. The present devices exhibited fast and stable photo-responses under modulated or continuous UV-visible lights.</P>
Vehicular Cyber-Physical Systems for Smart Road Networks
Jaehoon (Paul) Jeong,Eunseok Lee 한국통신학회 2014 정보와 통신 Vol.31 No.3
This paper proposes the design of Vehicular Cyber-Physical Systems (called VCPS) based on vehicular cloud for smart road networks. Our VCPS realizes mobile cloud computing services where vehicles themselves or mobile devices (e.g., smartphones and tablets of drivers or passengers in vehicles) play a role of both cloud server and cloud client in the vehicular cloud. First, this paper describes the architecture of vehicular networks for VCPS and the delay modeling for the event prediction and data delivery, such as a mobile node’s travel delay along its navigation path and the packet delivery delay in vehicular networks. Second, the paper explains two VCPS applications as smart road services for the driving efficiency and safety through the vehicular cloud, such as interactive navigation and pedestrian protection. Last, the paper discusses further research issues for VCPS for smart road networks.
Jeong, Jaehoon,Essafi, Makram,Lee, Chulyeon,Haoues, Meriam,Diouani, Mohamed Fethi,Kim, Hwajeong,Kim, Youngkyoo Elsevier 2018 Journal of hazardous materials Vol.355 No.-
<P><B>Abstract</B></P> <P>Here we report that superoxide, one of the hazardous reactive oxygen species (ROS), can be quickly detected by flexible organic field-effect transistors (OFETs) with the polyphenol-embedded conjugated polymer micro-channels. Rutin, one of the abundant polyphenols found in a variety of plants, was employed as a sensing molecule and embedded in the poly(3-hexylthiophene) (P3HT) matrix. The rutin-embedded P3HT layers showed randomly distributed micro-domains, which became bigger as the rutin content increased. The best transistor performance was achieved at the rutin content of 10 wt%, while the OFETs exhibited proper and controllable transistor performances even in the phosphate buffer solutions. The sensing test revealed that the present OFET sensors could stably detect superoxide using very small amount (<10 μl) of samples at extremely low concentrations (500 pM), while they exhibited outstanding stability and durability upon repeated detection and storage-reuse tests. Finally, the present flexible OFET sensors could deliver confident sensing results for the detection of superoxide generated from the mouse RAW264.7 macrophages.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Flexible OFETs with the polyphenol-embedded conjugated polymers are fabricated. </LI> <LI> Rutin-based OFETs can quickly detect superoxide at extremely low concentrations. </LI> <LI> The OFET sensors exhibit outstanding durability upon repeated and reuse tests. </LI> <LI> Superoxide generated in the macrophages can be effectively detected by the OFETs. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Jeong, Jaehoon,Yang, Chan-Su Chinese Geoscience Union 2016 TAO Vol.27 No.4
<P>This study devises an automatic synthetic aperture radar (SAR) image enhancement method for ship detection and inspection for installation in a near-real-time automatic high-speed processing system. The proposed method was examined in small ship inspection and detection over the Ieodo Ocean area off Korea using RADARSAR-2 HV-polarization data. The proposed method involves four steps. First, the SAR input data is converted into a highly compressed gray scale image, which enables both computer screen display and high-speed processing due to its light volume. Second, the overall contrast is adjusted by power-law scaling to strengthen the target discrimination, which is attenuated because of the inefficiency of one-sided intensity distribution. This additionally provides excellent target visibility. Third, the intensity of the area in which targets and clutter coexist is rescaled from 0 to 255 using min-max linear stretching. This suppresses background clutter and makes targets more easily distinguishable from the clutter. Lastly, the remaining clutter is successfully eliminated using a median filter. As a result, an output image is obtained that is close to binary data and enables ship detection using only simple global thresholding. Our ship detection results were compared with that of ships identified using an automatic identification system and those visible in high-precision images by visual inspection. We verified that our method offers a high detection rate for small ships and does not involve complexity in distribution assumption, filtering or thresholding. The potential of our method is confirmed as an automatic SAP. enhancement method for near-real-time ship detection and inspection.</P>