Enhancement of Soft-magnetic Properties of FeCoNbBCu Nanocrystalline Alloys with Ni Addition

Fanli Kong,Xingdu Fan,Anding Wang,Baolong Shen,Akihiro Makino,Akihisa Inoue 한국자기학회 2010 한국자기학회 학술연구발표회 논문개요집 Vol.2010 No.12

Covalent Immobilization of Arginine onto Polyacrylonitrile-Based Membrane for the Effective Separation of Oil/Water Emulsion

Xiang Shen,Peng Liu,Jiao Xu,Teng Liu,Jianjun Liu,Xianfu Shen,Shubiao Xia,Fan Wang 한국고분자학회 2018 Macromolecular Research Vol.26 No.13

Membrane technology has been accepted as a very effective approach to purify oily wastewater. However, the serious membrane fouling induced by the adsorption of oily foulants significantly hinders the development of membrane technology in treating oily wastewater. To improve the anti-fouling property and oil/ water separation efficiency of membrane, this work reports on the covalent immobilization of short-chain arginine (Arg) molecules onto polyacrylonitrile/polyacrylonitrile- co-poly(glycidyl methacrylate) (PAN/PAN-co-PGMA) blend membrane surface via a ring-opening reaction between epoxy groups and amine groups. It was found that the covalent immobilization of Arg molecules effectively increased the surface hydrophilicity of the membrane, resulting in a significant decrease of the interaction force between the foulants and the membrane surface. This typical characteristic was revealed by the pure water contact angle and the force-extension curve measurements. The Arg-immobilized membranes exhibited much higher separation efficiency against oil/water emulsions than the pristine PAN and PAN/PAN-co-PGMA membranes. Especially when the grafting amount of Arg was 157.3 μg/cm2, the oil rejection ratio of an Arg-immobilized membrane was as high as 99.2%. In addition, the flux recovery ratio of the membrane still reached 88.8%, even after two cycle filtrations of pure water and oil/water emulsion. These results indicated that the Arg-immobilized membrane may have practical applications for oil/water emulsion separation.

韓國李圭景《詩家點燈ㆍ律陶》自然生命意識初論

沈文凡(Shen Wen fan),??(Nie Yao) 동아인문학회 2010 동아인문학 Vol.18 No.-

Our ancient Poetry Talks were about the discussion of poem, poet, the orgin of the poem, the comment of the poem and so on, which gradually become more and more important in the study of ancient poems. Poetry Talks in Korea collect a large number of our ancient poems which are better literature value and historical status and the worthy of our attention is its unique comments. This thesis selects the “SHI JIA DIAN DENG LU TAO” which was wrriten by Li Gui-jing as study object and takes nature as the central idea which revolves the clue of real, aesthetic and perfect as investigation and argumnetation. Tao Yuan-ming is an natural poet and philosopher and his poems are full of emotion and logic. Many writers inherits Tao Yuan-ming’s poems and thinking. This thesis focuses the natural life consciousness and cultural contents of the poems of Tao Yuan-ming for the purpose of addition on the study of the poems’ of Tao Yuan-ming.

CCTV 사이트를 위한 통합관리시스템의 설계 및 구현

범생덕(Shen-De Fan),차영욱(Young-Wook Cha),김춘희(Choon-Hee Kim) 한국정보기술학회 2014 한국정보기술학회논문지 Vol.12 No.10

To minimize service suspension of CCTV site’s equipments and dispatch of maintenance personnels, it is required to introduce integrated management of configuration, fault, and power using intelligent power distribution unit. In this paper, we proposed web service based R4CSM(RESTful web service for CCTV Site Management)-API instead of SNMP with some restrictions for integrated management of CCTV sites. Through R4CSM-API, we designed and implemented integrated management system for CCTV sites, and analyzed message processing time according to thread structures. To check out integrated management system’s validation procedure for R4CSM-API’s URL and XML information, we made use of RESTClient, which is a kind of testing tool for RESTful web service.

3D Reconstruction of Scale-Invariant Feature for Mobile Robot localization

Dong Fan Shen,Se-Kee Kil,Eung-Hyuk Lee,Hong-Ki Min,Toshi-Hiro Nishimura,Seung-Hong Hong 대한전자공학회 2006 ICEIC:International Conference on Electronics, Inf Vol.2006 No.6

스케일불변 특징의 삼차원 재구성을 통한 이동 로봇의 상대위치추정

申東范(Dong-Fan Shen),吉世基(Se-Kee Kil),李鍾實(Jong-Shill Lee),柳劑群(Je-Goon Ryu),李應赫(Eung-Hyuk Lee),洪勝弘(Seung-Hong Hong) 대한전기학회 2006 전기학회논문지 D Vol.55 No.4

A key component of autonomous navigation of intelligent home robot is localization and map building with recognized features from the environment. To validate this, accurate measurement of relative location between robot and features is essential. In this paper, we proposed relative localization algorithm based on 3D reconstruction of scale invariant features of two images which are captured from two parallel cameras. We captured two images from parallel cameras which are attached in front of robot and detect scale invariant features in each image using SIFT(scale invariant feature transform). Then, we performed matching for the two image's feature points and got the relative location using 3D reconstruction for the matched points. Stereo camera needs high precision of two camera's extrinsic and matching pixels in two camera image. Because we used two cameras which are different from stereo camera and scale invariant feature point and it's easy to setup the extrinsic parameter. Furthermore, 3D reconstruction does not need any other sensor. And the results can be simultaneously used by obstacle avoidance, map building and localization. We set 20㎝ the distance between two camera and capture the 3frames per second. The experimental results show ±6㎝ maximum error in the range of less than 2m and ±15㎝ maximum error in the range of between 2m and 4m.

Survive the climate variability?

I-Ching Chen,Sheng-Feng Shen,Shih-Fan Chan 한국응용곤충학회 2013 한국응용곤충학회 학술대회논문집 Vol.2013 No.10

Climate and its variability characterize abiotic environment for species on the earth. Increased seasonality in higher latitude and/or pronounced diurnal temperate range in higher ground as well as decreasing mean temperature are major climate gradients to which organisms must adapt through physiological and behavioral plasticity. IPCC AR5 pointed out that climate variability and its regional behavior remain top concerns, which may well pose great challenges to climate change biology. We use Nicrophorus nepalensis (Coleoptera: Silphidae) a wide-distributed burying beetle in low latitude Asia as model species to investigate possible impacts of climate variability on species performance. N. nepalensis is a scavenging species exploring carcasses for feeding and reproduction. To consider their breeding performance, we baited N. nepalensis by small mouse carcasses and measured the rate at which they successfully buried the carcasses into soil. We look at climate variability along elevational gradients of intact forest and open habitats exposure to agricultural activities. The probability of successful breeding is higher in intact forest than that in open habitat with unimodal fashion of peak at 1800m. We found that local climate variability, more specifically, the diurnal temperature range (DTR), impedes successful breeding of N. nepalensis. Despite variable environmental conditions associated with habitat opening, such as increased soil density, reduced leaf litter amount and relative humidity, enlarged DTR seems to be the principal cause of failure. The negative effects of greater DTR on breeding success were confirmed by laboratory experiments. DTR remains stable in primary forests, in contrast to its increase in more disrupted habitats along the same transect. Reducing vegetation cover exposes mountains to radiant heating, a trend with significant elevational effect, resulting in large DTR in high lands. Although N. nepalensis is widely distributed in the mountain areas, non-forest patches support only part of their life cycle, different function groups to support decomposition process at open habitats are expected. Climate change and habitat degradation are among the major drivers of biodiversity loss. Our study highlights land-use and land-cover change (LULCC) in altering local temperature variability and reinforces the concern of its interplay with climate change.

Oxidative stress-induced circKIF18A downregulation impairs MCM7-mediated anti-senescence in intervertebral disc degeneration

Wang Jianle,Xia Dongdong,Lin Yan,Xu Wenbin,Wu Yaosen,Chen Jiaoxiang,Chu Junjie,Shen Panyang,Weng Sheji,Wang Xiangyang,Shen Lifeng,Fan Shunwu,Shen Shuying 생화학분자생물학회 2022 Experimental and molecular medicine Vol.54 No.-

Low back pain, triggered by intervertebral disc degeneration (IVDD), is one of the most common causes of disability and financial expenditure worldwide. However, except for surgical interventions, effective medical treatment to prevent the progression of IVDD is lacking. This study aimed to investigate the effects of circKIF18A, a novel circRNA, on IVDD progression and to explore its underlying mechanism in IVDD. In this study, we found that oxidative stress was positively correlated with nucleus pulposus cell (NPC) senescence in IVDD and that circKIF18A was downregulated in IVDD and attenuated senescent phenotypes such as cell cycle arrest and extracellular matrix degradation in NPCs. Mechanistically, circKIF18A competitively suppressed ubiquitin-mediated proteasomal degradation of MCM7, and the protective effects of circKIF18A on NPCs were partially mediated by MCM7 under oxidative stress. Intradiscal injection of adenoviral circKIF18A ameliorated IVDD in a rat model. This study revealed that circKIF18A regulates NPC degeneration by stabilizing MCM7 and identified a novel signaling pathway, the circKIF18A-MCM7 axis, for anti-senescence molecular therapy in IVDD.

Building Objects Extracting and Recognizing Methodology from Satellite Image based on the Feature Extraction Algorithms and Sliding Window Technique

Fan Yang,Laixin Shen 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.12

Based on the gray features and shape features of objects, some satisfied objects are detected by using sliding window algorithm from satellite image. To further recognize their identification and classification, more texture features of them are needed to obtain to compare between them. GLCM (Gray-Level Co-occurrence Matrix) statistics are used to representative each partition of them. These PGLCM (Partition-GLCM) statistics can combine into a feature vector and those detected objects can be accurately recognized and classified by using GLVQ (Generalized Learning Vector Quantization) Neural Network algorithm. Experiments show when we choose those adapted parameters, such as the length and width of the window, and the threshold of difference of adjacent pixels, the extraction rate of building objects is up to 76.1%. Using the classification algorithm based on the feature vector generating by the statistics of PGLCM, the recognition rate of building is more than 88.9%.

Some Consideration on Assets Operation in Transport Enterprises of China Railways

Fan Jianlin,Sun Zhang,Shen Junzuo 대한교통학회 1998 대한교통학회 기타자료 Vol.1998 No.-

Through an analyses of the necessity and the practical meaning of the assets operation in railway transport enterprises, the authors argue that a railway transport enterprise shall lay equal stress on assets operation and production management, and suggest to take concrete steps on the basis of the aforesaid management strategy.