Effects of Color and Intensity of Scent-infused Textiles on Electroencephalography and Olfactory Affection

( Myungeun Lee ),( Badmaanyambuu Sarmanakh ),( Eunjou Yi ),( Gilsoo Cho ) 한국감성과학회 2015 추계학술대회 Vol.2015 No.-

Nowadays textile industry exhibits a growing interest into the integration of functions and sensory aspect which could meet consumers’ multiple needs to products. As for that reason, oil from Citrus Unshiu have been studied for several years in terms of its application to textiles via microencapsulation and its multiple effects on human’s skin health and olfactory affection. In the present study, the differences of psychological and psychophysiological olfactory affection of Citrus Unshiu fragrance according to textile color and fragrance intensity were investigated. Specific objectives are as follows: First, to identify the affective adjectives that are influenced by the olfactory stimuli and that are affected by both the olfactory and visual(color) stimuli. Second, to find out the EEG responses according to changes of the fragrance intensity and textile color. A total of six textiles that have different textile color(white, green-yellow and red-purple) and fragrance intensity(weak and strong) were developed as stimuli. Subjective olfactory affections were evaluated by questionnaire using a labeled magnitude scale consisted of six pairs of adjectives from a previous study; ‘strong,’ ‘fresh,’ ‘sweet,’ ‘natural,’ ‘comfortable,’ ‘pleasant.’ Psychophysiological affection was also estimated using EEG. The adjectives that are influenced by the olfactory stimuli were ‘strong’ and ‘fresh.’ The ‘sweet’ affection was influenced by the textile color than the fragrance itself. EEG signals show that the increasing of the ratio of alpha rhythm when stimulated with green-yellow stimuli. It means that participants experienced more comfortable feeling when fragrance was provided with a color that is reminiscent of fragrance.

Synthesis and phase transition behavior of well-defined Poly(arylene ether sulfone)s by chain growth condensation polymerization in organic media

Lee, Jinhee,Lee, Byungyong,Park, Jeyoung,Oh, Jaehoon,Kim, Taehyoung,Seo, Myungeun,Kim, Sang Youl Elsevier 2018 Polymer Vol.153 No.-

<P><B>Abstract</B></P> <P>A series of well-defined poly(arylene ether sulfone)s (PESs) as a rod-type block was synthesized by chain-growth condensation polymerization from a diphenyl sulfone-type initiator containing a fluorine leaving group and an allyl moiety. Interestingly, these oligomeric PESs exhibited lower critical solution temperature (LCST)-type phase transition behavior in organic solvents, i.e., 1,2-dimethoxyethane (DME) and chloroform. The clouding point temperature was affected by the molecular weight and concentration of the polymers. The cloud temperature decreased as the molecular weight polymers and the concentration of polymer solution increased. And also two series of rod-coil type poly(arylene ether sulfone)-<I>b</I>-polylactides were synthesized by controlled ring-opening esterification polymerization of <SMALL>DL</SMALL>-lactide with a PES-derived macroinitiator in which the allyl group was transformed into an aliphatic hydroxyl group by a thiol-ene click reaction. These diblock copolymers also exhibited LCST behavior in DME, and the nanoscale size of the aggregates increased upon heating.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Well-controlled rod-type poly(ethersulfone)s were synthesized. </LI> <LI> The poly(ethersulfone)s exhibited thermos-responsive properties in organic solvents. </LI> <LI> This phase transition behavior was also observed with diblock copolymers. </LI> <LI> Their cloud points were affected by the molecular weight and the concentration. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

High-conductivity electrolyte gate dielectrics based on poly(styrene-co-methyl methacrylate)/ionic liquid

Lee, Donghui,Jung, Yunji,Ha, Myeongjin,Ahn, Hyungju,Lee, Keun Hyung,Seo, Myungeun The Royal Society of Chemistry 2019 Journal of Materials Chemistry C Vol.7 No.23

<P>We report self-assembly of a statistical copolymer poly(styrene-<I>co</I>-methyl methacrylate) (P(S-<I>co</I>-MMA)) containing ionic liquid (IL)-philic methyl methacrylate (MMA) and IL-phobic styrene (S) repeating units in IL for fabrication of electrolyte-gated organic transistors. P(S-<I>co</I>-MMA)s with high MMA contents were synthesized by copolymerization of styrene and MMA <I>via</I> a reversible addition-fragmentation chain transfer (RAFT) process, and their behavior in 1-ethyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide ([EMI][TFSI]) was investigated. While dynamic light scattering analysis showed formation of a micellar solution at low concentration, the elastic modulus of the viscoelastic solution increased significantly more than the loss modulus at high concentration. Small angle X-ray scattering analysis suggested ill-defined phase separation between PS-rich segments and PS-lean segments swollen in [EMI][TFSI]. The resulting P(S-<I>co</I>-MMA)/[EMI][TFSI] mixture exhibited increased ionic conductivity compared to the PS-<I>b</I>-PMMA-<I>b</I>-PS block polymer gel, as well as superior device performance in transistor gating experiments.</P>

Measurement of human sensation for developing sensible textiles

Lee, Myungeun,Cho, Gilsoo Wiley Subscription Services, Inc., A Wiley Company 2009 Human factors and ergonomics in manufacturing Vol.19 No.2

<P>Human perceptive faculties consist of 5 senses: visual, auditory, olfactory, taste, and tactile sense. Visual is the most powerful sense for human perception followed by the auditory sense. This article attempts to find the connection between the visual and the auditory senses. In particular, the aim is to convert sound to color based on human perception. Natural sounds were selected as stimuli and analyzed by sound color and psychoacoustic factors. In addition, subjective perception was evaluated, and electroencephalogram (EEG) was measured using psychophysiological methods in 20 participants. From the factor analysis results of subjective responses, 4 factors were determined: Emotion, Action, Atmosphere, and Strength. To convert sounds to colors, a multidimensional scale analysis was performed using the results of the EEG responses. Bird sound was converted to green, wave sound to red, and rain sound to red-purple. The results were presented by textile designs. From these results, the ability of natural sounds to convert to colors was proven, so that the transformed colors can be used to help design textiles. © 2009 Wiley Periodicals, Inc.</P>

Segmentation of medical images using a geometric deformable model and its visualization

Myungeun Lee,Soonyoung Park,Wanhyun Cho,Soohyung Kim,Changbu Jeong IEEE Canada 2008 Canadian journal of electrical and computer engine Vol.33 No.1

<P>An automatic segmentation method for medical images that uses a geometric deformable model is presented, and the segmented results are visualized with the help of a modified marching cubes algorithm. The geometric deformable model is based on evolution theory and the level set method. In particular, the level set method utilizes a new derived speed function to improve the segmentation performance. This function is defined by the linear combination of three terms, namely, the alignment term, the minimal-variance term, and the smoothing term. The alignment term makes a level set as close as possible to the boundary of an object. The minimal-variance term best separates the interior and exterior of the contour. The smoothing term renders a segmented boundary less sensitive to noise. The use of the proposed speed function can improve the segmentation accuracy while making the boundaries of each object much smoother. Finally, it is demonstrated that the design of the speed function plays an important role in the reliable segmentation of synthetic and computed tomography (CT) images, and the segmented results are visualized effectively with the help of a modified marching cubes algorithm.</P>

Nanoporous poly(ether sulfone) from polylactide-b-poly(ether sulfone)-b-polylactide precursor

Lee, Jinhee,Park, Jongmin,Oh, Jaehoon,Lee, Sanghwa,Kim, Sang Youl,Seo, Myungeun Elsevier 2019 Polymer Vol.180 No.-

<P><B>Abstract</B></P> <P>We report a route to synthesize polylactide-b-poly(ether sulfone)-b-polylactide (PLA-b-PES-b-PLA) containing PES and PLA, which provide a mechanically robust framework and a sacrificial template for pore formation, respectively. High-molar mass PES terminated with fluorine groups was synthesized by the step-growth nucleophilic aromatic substitution (S<SUB>N</SUB>Ar) reaction, and the chain ends were transformed into benzylic hydroxyl groups by chain end modification. Growth of the PLA using the hydroxyl groups as initiating sites via chain-growth ring opening transesterification polymerization (ROTEP) produced the target triblock copolymer. Although the step-growth polymerization produced a PES middle block with high dispersity, small angle X-ray scattering (SAXS) and transmission electron microscopy (TEM) analyses indicated the formation of an ordered lamellar morphology. We further demonstrated that a nanoporous PES with slit-like pores could be obtained by selective removal of the PLA.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A synthetic route to polylactide-b-poly(ether sulfone)-b-polylactide was developed. </LI> <LI> The chain ends of high-molar mass poly(ether sulfone) were modified to grow polylactide. </LI> <LI> The triblock copolymer exhibited an ordered lamellar phase. </LI> <LI> Removal of the PLA produced a nanoporous poly(ether sulfone) containing slit-like pores. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

Quality of Radiomic Features in Glioblastoma Multiforme: Impact of Semi-Automated Tumor Segmentation Software

Lee, Myungeun,Woo, Boyeong,Kuo, Michael D.,Jamshidi, Neema,Kim, Jong Hyo unknown 2017 KOREAN JOURNAL OF RADIOLOGY Vol.18 No.3

<P><B>Objective</B></P><P>The purpose of this study was to evaluate the reliability and quality of radiomic features in glioblastoma multiforme (GBM) derived from tumor volumes obtained with semi-automated tumor segmentation software.</P><P><B>Materials and Methods</B></P><P>MR images of 45 GBM patients (29 males, 16 females) were downloaded from The Cancer Imaging Archive, in which post-contrast T1-weighted imaging and fluid-attenuated inversion recovery MR sequences were used. Two raters independently segmented the tumors using two semi-automated segmentation tools (TumorPrism3D and 3D Slicer). Regions of interest corresponding to contrast-enhancing lesion, necrotic portions, and non-enhancing T2 high signal intensity component were segmented for each tumor. A total of 180 imaging features were extracted, and their quality was evaluated in terms of stability, normalized dynamic range (NDR), and redundancy, using intra-class correlation coefficients, cluster consensus, and Rand Statistic.</P><P><B>Results</B></P><P>Our study results showed that most of the radiomic features in GBM were highly stable. Over 90% of 180 features showed good stability (intra-class correlation coefficient [ICC] ≥ 0.8), whereas only 7 features were of poor stability (ICC < 0.5). Most first order statistics and morphometric features showed moderate-to-high NDR (4 > NDR ≥1), while above 35% of the texture features showed poor NDR (< 1). Features were shown to cluster into only 5 groups, indicating that they were highly redundant.</P><P><B>Conclusion</B></P><P>The use of semi-automated software tools provided sufficiently reliable tumor segmentation and feature stability; thus helping to overcome the inherent inter-rater and intra-rater variability of user intervention. However, certain aspects of feature quality, including NDR and redundancy, need to be assessed for determination of representative signature features before further development of radiomics.</P>

유방 MR 영상에서 비등방성 확산 방법과 구조텐서를 이용한 흉근 자동 분할

이명은(Myungeun Lee),진연연(Yanjuan Chen),김수형(Soohyung Kim),김종효(Jonghyo Kim) 한국정보과학회 2011 한국정보과학회 학술발표논문집 Vol.38 No.1C

본 논문에서는 비등방성 확산 방법과 구조텐서를 이용한 유방 MR 영상에서 흉근을 자동 분할하기 위한 방법을 제안한다. 제안하는 방법은 영상에 포함되어 있는 잡음을 제거하기 위하여 비등방성 확산 방법을 적용한 후 영상의 국부적인 기울기 정보를 잘 나타내는 구조텐서를 이용하여 영상 진단 및 영상 정합 시 불필요한 흉근 부분을 자동으로 분할하고자 한다. 실험결과에서 확인 할 수 있듯이 정확한 분할의 결과는 향후 컴퓨터 보조 진단 시스템에 유용하게 사용할 수 있을 것으로 기대된다.

명암도 기반의 의료영상 정합을 위한 최적화 방법

이명은(Myungeun Lee),김수형(Soohyung Kim),임준식(Junsik Lim) 大韓電子工學會 2009 電子工學會論文誌-CI (Computer and Information) Vol.46 No.6

본 논문에서는 명암도 기반의 의료영상 정합을 위한 최적화 방법을 소개하고자 한다. 제안하는 최적화 방법은 조건부 확률의 엔트로피에 기반한 측도를 사용함으로써 수행된다. 본 논문에서는 정합을 수행하기 위해서 주어진 두 영상의 명암도에 대한 조인트 히스토그램으로부터 계산된 조건부 엔트로피를 개선하여 새로운 정합 방법의 측도로써 정의한다. 그리고 기존의 명암도 기반의 방법들 즉, 명암도 차이 측정을 이용한 방법, 상관계수를 이용한 방법, 상호정보량을 이용한 방법 등과 비교 실험을 수행한다. 단일 모달리티 뇌 MR 영상을 이용한 실험과 서로 다른 모달리티 뇌 MR 영상과 CT 영상의 정합 결과를 통해서 성능을 평가한다. 실험결과에 의하면 제안한 방법이 기존의 최적화 방법들 보다 최적화 하는데 소요되는 시간이 더 빠르고 정확한 정합이 됨을 알 수 있다. We propose an intensity-based image registration method for medical images. The proposed registration is performed by the use of a new measure based on the entropy of conditional probabilities. To achieve the registration, we define a modified conditional entropy (MCE) computed from the joint histograms for the area intensities of two given images. And we conduct experiments with our method as well as existing methods based on the sum of squared differences (SSD), normalized correlation coefficient (NCC), normalized mutual information (NMI) criteria. We evaluate the precision of SSD-, NCC-, MI- and MCE-based measurements by comparing the registration obtained from the same modality magnetic resonance (MR) images and the different modality transformed MR/transformed CT images. The experimental results show that the proposed method is faster and more accurate than other optimization methods.

의료 영상 분할을 위한 딥러닝 방법 간의 성능 평가

이명은(Myungeun Lee) 대한전자공학회 2021 대한전자공학회 학술대회 Vol.2021 No.6