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混紡織物(T/C)의 耐候性을 目的으로 한 染色方法에 관한 硏究
張炳浩,張璣旭 成均館大學校 科學技術硏究所 1989 論文集 Vol.40 No.1
The weatherproof is an important characteristic of the T/C blended dyed fabrics. To study the dyeing method for the weatherproof in this thesis, making a various change of the concentration of dyes, the blended fabrics get to dye with each different method of dyeing. The weatherproof of these dyed fabrics is measured according to the time of irradiation and this research presents the durability, the fastness of washing, and the fastness of friction that are the physical and chemical changes related the above experiment. The results of these experiments are briefly as follows: 1. Though large in accodance to the difference of dyeing method, the change of weatherproof is little according to the concentration of dyes in the same method of dyeing. 2. The reason that the fastness of washing and friction is not on the decrease, despite the tensile strength of sample a_:er-treated with direct dyes has decreased by 15'0 or so with the lapse of 8 through 32 hours, is considered that formalin used in after- treatment is in full action. 3. In view of the above experimental results, it is considered that the dyeing and dyeing methods must he selected so as not to decrease the tensile strength.
장경수,신호진,이상호,김병기,신동렬 成均館大學校 科學技術硏究所 2000 論文集 Vol.51 No.2
Queueing analysis, in general., has the intrinsic problem of large state space dimension and complex computation. In fact, the petri net is a graphical and mathematical model. It has been used for the modeling of various applications, in particular, manufacturing systems. It can deal with parallelism, concurrence, deadlock avoidance, and asynchronism. Currently it has been applied to the performance of computer networks and protocol verifications. This paper presents a technique for modeling and analyzing queueing model using stochastic activity networks (SANs). And then some examples are showed for the verification of the technique presented in this paper.
오승민,김기서,유병택,장형석,이희성,정규혁 한국환경독성학회 2004 환경독성보건학회지 Vol.19 No.4
This study was designed to investigate potential endocrine disrupting effects of several industrial wastewater effluents discharged from cosmetic, plaiting, paint, textile industry using EROD bioassay and E-Screen assay The results of E-screen assay showed that textile industrial wastewater could act as a full agonist and cosmetics and plaiting industrial wastewater could act as a partial agonist On the contrary, the wastewater discharged from paint industry did not show any estrogenic effect Estrogenic activity in the effluents of cosmetic and paint industrial wastewater was lower than that in the influents indicating that the wastewater treatment process minimized the effects of discharges on water quality Despite of these results, it was recognized that wastewater treatment was not always minimize toxic impact In this study, increased estrogenic effect was observed in the effluents of plating and textile wastewater, and EROD activity was increased in the effluents of cosmetic and plating wastewater.
SVD 알고리즘 및 HMM을 이용한 얼굴 및 눈 패턴 검출
진경찬,김명남,신장규,손병기,조진호 경북대학교 센서기술연구소 1998 센서技術學術大會論文集 Vol.9 No.1
The studies about automatic pattern detection of the eye and face from the human image acquired by the CCD image sensor have good applicabilities in the industry, home automation, and data communication field. In general, pattern detection method consists of feature based matching and template matching. In feature based matching, the feature vector is extracted with DLM(dynamic linking matching), EBGM(elastic bunch graph matching), HMM(hidden markov model) matching and knowledge based matching using statistical characteristics. In template matching, in general, the template vector is extracted with PCA(principal component analysis). When these method applied in the face and eye detection, each method has its own merits and some disadvantage. Therefore, by combined utilization of SVD(singular value decomposition) and HMM algorithm, is expected that we can selectively make use of each methods advantage and it result in improved detection accuracy. In this paper, we proposed the method for face and eye detection, which was combined by the two algorithms, to be suitable for the high speed image processing using DSP chip or microprocessor. In the beginning, template matching was followed by a template extraction using batch SVD algorithm and then face pattern was classified and recognized by HMM algorithm which is one of feature based matching technique. Finally, eye pattern detection was performed by pattern search neural network utilizing eigeneye image.
Electric-field-induced spin disorder-to-order transition near a multiferroic triple phase point
Jang, Byung-Kweon,Lee, Jin Hong,Chu, Kanghyun,Sharma, Pankaj,Kim, Gi-Yeop,Ko, Kyung-Tae,Kim, Kwang-Eun,Kim, Yong-Jin,Kang, Kyungrok,Jang, Han-Byul,Jang, Hoyoung,Jung, Min Hwa,Song, Kyung,Koo, Tae Yeon Nature Publishing Group 2017 Nature physics Vol.13 No.2
<P>The emergence of a triple phase point in a two-dimensional parameter space (such as pressure and temperature) can offer unforeseen opportunities for the coupling of two seemingly independent order parameters. On the basis of this, we demonstrate the electric control of magnetic order by manipulating chemical pressure: lanthanum substitution in the antiferromagnetic ferroelectric BiFeO3. Our demonstration relies on the finding that a multiferroic triple phase point of a single spin-disordered phase and two spin-ordered phases emerges near room temperature in Bi0.9La0.1FeO3 ferroelectric thin films. By using spatially resolved X-ray absorption spectroscopy, we provide direct evidence that the electric poling of a particular region of the compound near the triple phase point results in an antiferromagnetic phase while adjacent unpoled regions remain magnetically disordered, opening a promising avenue for magnetoelectric applications at room temperature.</P>
( Gi-wook Lee ),( Keunyoung Kim ),( Seong-jang Kim ),( Kyung-nam Bae ),( Jin-hwa Son ),( Kihyuk Shin ),( Hoon-soo Kim ),( Hyun-chang Ko ),( Moon-bum Kim ),( Byung-soo Kim ) 대한피부과학회 2021 대한피부과학회 학술발표대회집 Vol.73 No.1
Background: Atopic dermatitis (AD) is an inflammatory skin disease which associated with increased systemic and vascular inflammation. Although dupilumab has been proved to be effective for severe AD, researches analyzing inflammation-reducing effect of dupilumab through imaging test have been rarely reported. Objectives: To assess the effect of dupilumab in reducing systemic and vascular inflammation in severe AD patients using <sup>18</sup>F-fluorodeoxyglucose positron emission tomography-computed tomography (<sup>18</sup>F-FDG PET/CT). Methods: Patients with severe AD underwent <sup>18</sup>F-FDG PET/CT imaging prior to the start of dupilumab treatment. Scans were conducted again at the time of Eczema Area and Severity Index (EASI) of 75 was achieved after the treatment of dupilumab initiated. Results: When compared with baseline imaging, there was no statistically significant difference in the standardized uptake values of major organs and aorta at the time of achieving EASI 75 after dupilumab treatment in severe AD patients. Conclusion: While dupilumab treatment showed significant clinical improvement in severe AD patients, it did not induce any changes on systemic and vascular inflammation in <sup>18</sup>F-FDG PET/CT imaging.