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Asian Journal of Pharmaceutical Sciences 2016年第1期11卷 229-230页

作者： Jin seob Oh seo hyun lim Sung Ha Ryu Kyung Hun Kim Kyung Soo Lee Woo Heon Song Jun Sang Park GL PharmTech Corporation

Pregabalin,(S)-3-amino methyl hexanoic acid,is a structural analogue ofγ-amino butyric acid(GABA)which has been widely used to treat partial seizures and neuropathic pain[1].It is soluble in aqueous solution and sparingly soluble in organic solvents such as ethanol,DMSO and *** oxide(PEO)has a strong negative effect on analysis of hydrophilic active ingredient and its relative substances due to extremely high viscosity of PEO in aqueous *** aim of this study is to develop a fast and precise method for the determination of pregabalin and its relative substances in extended release tablets including PEO using sodium sulfate for the treatment of sample solution.

关键词： Pregabalin Polyethylene oxide Related compound HPLC

Development of controlled release bi-layered tablets containing oxycodone hydrochloride

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Asian Journal of Pharmaceutical Sciences 2016年第1期11卷 178-178页

作者： Kyung Hun Kim Kyung Soo Lee Il Woo Jung Jin seob Oh seo hyun lim Sung Hoon Lee Woo Heon Song Jun Sang Park GLPharmTech Corporation #714JungangInduspia V137Sagimakgol-roJungwon-guSeongnamGyeonggidoRepublic of Korea Department of Pharmaceutical Engineering Cheongju University298Daeseong-roCheongwon-guCheongjuChungcheongbuk-doRepublic of Korea

Oxycodone hydrochloride is a semi-synthetic opioid agonist that provides very effective relief for moderate to severe pain in cancer and post-operative patients. Controlled release oxycodone formulations have been studied to enhance the therapeutic effect by providing constant release over the whole dosing interval and improve patient’s convenience by reducing the frequency of administration as well.

关键词： Oxycodone Control release Bi-layered tablet IVIVC

Towards Interference-Aware ZigBee Transmissions in Heterogeneous Wireless Networks

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Computers, Materials & Continua 2021年第1期66卷 751-765页

作者： Sangsoon lim Sanghyun seo Department of Computer Engineering Sungkyul UniversityAnyangSouth Korea School of Computer Art Chung-ang UniversityAnseongSouth Korea

Cross-technology interference(CTI)from diverse wireless networks such as ZigBee,Bluetooth,and Wi-Fi has become a severe problem in the 2.4 GHz Industrial Scientific and Medical(ISM)***,low power and lossy networks are vulnerable to the signal interferences from other aggressive wireless networks when they perform low power operations to conserve the energy *** paper presents CoSense,which accurately detects ZigBee signals with a reliable signal correlation scheme in the presence of the *** key concept of CoSense is to reduce false wake-ups of low power listening(LPL)by identifying the pre-defined ZigBee *** scheme is robust in the coexistence environment of diverse wireless technologies since the signal correlation works well in bad wireless channel *** achieves standard compliance and transparency without any hardware and firmware *** have implemented CoSense on the Universal Software Radio Peripheral(USRP)platform to verify its *** experimental exploration reveals that CoSense significantly reduces the false-positive and false-negative rate under typical setting and the additional overhead is *** results show that our scheme saves much energy by up to 63%in dynamic network interference scenarios where low-power ZigBee transmissions are overwhelmed by strong Wi-Fi signal interferences.

关键词： Heterogeneous wireless networks interference ZigBee detection energy efficiency low-power listening

Reinforced CNN Forensic Discriminator to Detect Document Forgery by DCGAN

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Computers, Materials & Continua 2022年第6期71卷 6039-6051页

作者： seo-young lim Jeongho Cho Department of Electrical Engineering Soonchunhyang UniversityAsan31538Korea

Recently,the technology of digital image forgery based on a generative adversarial network(GAN)has considerably improved to the extent that it is difficult to distinguish it from the original image with the naked eye by compositing and editing a person’s face or a specific part with the original ***,much attention has been paid to digital image forgery as a social ***,document forgery through GANs can completely change the meaning and context in a document,and it is difficult to identify whether the document is forged or not,which is ***,few studies have been conducted on document forgery and new forgery-related attacks have emerged ***,in this study,we propose a novel convolutional neural network(CNN)forensic discriminator that can detect forged text or numeric images by GANs using CNNs,which have been widely used in image classification for many *** strengthen the detection performance of the proposed CNN forensic discriminator,CNN was trained after image preprocessing,including salt and pepper as well asGaussian ***,we performed CNN optimization to make existing CNN more suitable for forged text or numeric image detection,which have mainly focused on the discrimination of forged faces to *** test evaluation results using Hangul texts and numbers showed that the accuracy of forgery discrimination of the proposed method was significantly improved by 20%in Hangul texts and 5%in numbers compared with that of existing state-of-the-art methods,which proved the proposed model performance superiority and verified that it could be a useful tool in reducing crime potential.

关键词： Digital forensics CNN GAN discriminator image processing

Brazilin and Caesalpinia sappan L. extract protect epidermal keratinocytes from oxidative stress by inducing the expression of GPX7

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Chinese Journal of Natural Medicines 2018年第3期16卷 203-209页

作者： hyung seo Hwang Joong hyun Shim Department of Oriental Cosmetic Science Semyung University

Caesalpinia sappan L., belonging to the family Leguminosae, is a medicinal plant that is distributed in Southeast Asia. The dried heartwood of this plant is used as a traditional ingredient of food, red dyes, and folk medicines in the treatment of diarrhea, dysentery, tuberculosis, skin infections, and inflammation. Brazilin is the major active compound, which has exhibited various phar- macological effects, including anti-platelet activity, anti-hepatotoxicity, induction of immunological tolerance, and anti-inflammatory and antioxidant activities. The present study aimed to evaluate the antioxidant activity and expression of antioxidant enzymes of C. sappan L. extract and its major compound, brazilin, in human epidermal keratinocytes exposed to UVA irradiation. Our results indi- cated that C. sappan L. extract reduced UVA-induced H202 production via GPX7 activation. Moreover, brazilin exhibited anfioxidant effects that were similar to those of C. sappan L. via glutathione peroxidase 7 （GPX7）, suggesting that C. sappan L. extract and its natural compound represent potential treatments for oxidative stress-induced photoaging of skin.

关键词： Caesalpinia sappan L. Brazilin Ultraviolet GPX7 Antioxidative

Feasibility of wear reduction for soft nanostructured thin film through enhanced elastic recoverability and contact stress relief

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Friction 2023年第7期11卷 1292-1306页

作者： Kuk-Jin seo hyun-Joon KIM Dae-Eun KIM Department of Mechanical Engineering Yonsei UniversitySeoul 03722Republic of Korea Department of Precision Mechanical Engineering Kyungpook National UniversitySangju 37224Republic of Korea Department of Advanced Science and Technology Convergence Kyungpook National UniversitySangju 37224Republic of Korea

This work shows that a soft,thin film comprising randomly aligned carbon nanotubes(CNTs)can reduce surface wear more effectively than a homogeneous thin film because of enhanced elastic recoverability and contact stress relief originating from its mesh *** investigate the wear characteristics of the mesh structure compared to those of the homogeneous thin film,multi-walled CNTs(MWCNTs)and diamond-like carbon(DLC)thin films were prepared to conduct nanoscale tribological experiments using the atomic force microscopy(AFM).The MWCNT thin film showed unmeasurably low wear compared with the DLC thin film under a certain range of normal *** demonstrate the wear reduction mechanism of the MWCNT thin film,its indentation and frictional behaviors were *** indentation behavior of the MWCNT thin film revealed repetitive elastic deformation with a wide strain range and a significantly lower elastic modulus than that of the DLC thin *** permanent deformation of the MWCNT thin film was observed through frictional experiments under relatively high normal load *** results are expected to provide insights into the design of highly wear-resistant surfaces using nanostructures.

关键词： carbon nanotube(CNT) thin film wear friction elastic recovery

Deep Learning-Based Action Classification Using One-Shot Object Detection

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Computers, Materials & Continua 2023年第8期76卷 1343-1359页

作者： hyun Yoo seo-El Lee Kyungyong Chung Contents Convergence Software Research Institute Kyonggi UniversitySuwon-si16227Korea Department of Public Safety Bigdata Kyonggi UniversitySuwon-si16227Korea Division of Computer Science and Engineering Kyonggi UniversitySuwon-si16227Korea

Deep learning-based action classification technology has been applied to various fields,such as social safety,medical services,and *** an action on a practical level requires tracking multiple human bodies in an image in real-time and simultaneously classifying their *** are various related studies on the real-time classification of actions in an ***,existing deep learning-based action classification models have prolonged response speeds,so there is a limit to real-time *** addition,it has low accuracy of action of each object ifmultiple objects appear in the ***,it needs to be improved since it has a memory overhead in processing image *** learning-based action classification using one-shot object detection is proposed to overcome the limitations of multiframe-based analysis *** proposed method uses a one-shot object detection model and a multi-object tracking algorithm to detect and track multiple objects in the ***,a deep learning-based pattern classification model is used to classify the body action of the object in the image by reducing the data for each object to an action *** to the existing studies,the constructed model shows higher accuracy of 74.95%,and in terms of speed,it offered better performance than the current studies at 0.234 s per *** proposed model makes it possible to classify some actions only through action vector learning without additional image learning because of the vector learning feature of the posterior neural ***,it is expected to contribute significantly to commercializing realistic streaming data analysis technologies,such as CCTV.

关键词： Human action classification artificial intelligence deep neural network pattern analysis video analysis

Transport of chemical signals in systemic acquired resistance

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Journal of Integrative Plant Biology 2017年第5期59卷 336-344页

作者： Archana Singh Gah-hyun lim Pradeep Kachroo Department of Plant Pathology University of Kentucky Lexington Kentucky USA

Systemic acquired resistance （SAR） is a form of broad-spectrum resistance induced in response to local infections that protects uninfected parts against subsequent secondary infections by related or unrelated pathogens. SAR signaling requires two parallel branches, one regulated by salicylic acid （SA）. and theother by azelaic acid （AzA） and glycerol-3-phosphate （G3P）. AzA and G3P function downstream of the free radicals nitric oxide （NO） and reactive oxygen species （ROS）. During SAR, SA, AzA and G3P accumulate in the infected leaves, but only a small portion of these is transported to distal uninfected leaves. SA is preferen- tially transported via the apoplast, whereas phloem loading of AzA and G3P occurs via the symplast. The symplastic transport of AzA and G3P is regulated by gating of the plasmodesmata （PD）. The PD localizing proteins, PDLP1 and PDLP5, regulate SAR by regulating PD gating as well as the subcellular partitioning of a SAR-associated protein.

关键词： William J. Lucas University of California Davis USA

Improvement of uniformity in cultivation environment and crop growth rate by hybrid control of air flow devices

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Journal of Central South University 2015年第12期22卷 4702-4708页

作者： BAEK Min-seon KWON Sook-Youn lim Jae-hyun Department of Computer Science and Engineering Kongju National University Green Energy Technology Research Center Kongju National University

A complete control type plant factory has high efficiency in terms of cultivation area by constructing vertical multiple layered cultivation ***,it has a problem of irregular crop growth due to temperature deviation at upper and lower beds and increases in energy consumption by a prolonged cultivation *** this work,air flow rate inside a facility was improved by a hybrid control of air flow devices like air conditioning and air circulation fan with an established wireless sensor network to minimize temperature deviations between upper and lower beds and to promote crop *** performance of proposed system was verified with an experimental environment or Case A wherein air conditioning device was operated without a control algorithm and Case B wherein air conditioning and circulation fans were alternatively operated based on the hybrid control *** planting leafy vegetables under each experimental condition,crops were cultivated for 21 *** a result,Case B wherein AC(air conditioning) and ACF(air-circulation fan) were alternatively operated based on the hybrid control algorithm showed that fresh mass,number of leaves,and leaf length for the crops grown were increased by 40.6%,41.1%,and 11.1%,respectively,compared to Case A.

关键词： air flow devices hybrid control cultivation environment uniformity growth rate

Suggestion of advanced regression model on friction angle of fault gouge in South Korea

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Journal of Rock Mechanics and Geotechnical Engineering 2021年第6期13卷 1368-1379页

作者： seong-Woo Moon hyun-seok Yun Yong-seok seo Department of Earth and Environmental Sciences Chungbuk National University1 Chungdae-roCheongju-siChungcheongbuk-do28644South Korea

Although friction characteristics of fault gouge are important to understand reactivation of fault,behavior of earthquake,and mechanism of slope failure,analysis results of fault gouge have low accuracy mostly than those of soils or rocks due to its high heterogeneity and low ***,to improve the accuracy of analysis results,we conducted simple regression analysis and structural equation model analysis and selected major influential factors of friction characteristics among many factors,and then we deduced advanced regression model with the highest coefficient of determination(R^(2)) via multiple regression *** most coefficients of determination in simple regression analysis are below0.3-0.4,coefficient of determination in multiple regression analysis is remarkably large as 0.657.

关键词： Fault gouge Friction angle Simple regression analysis Structural equation model analysis Multiple regression analysis