• 패션비즈니스
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• 제26권6호
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• pp.32-46
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• 2022

The purpose of this study is to explore a three-dimensional (3D) simulation of skirt shape concepts by manipulating circumferences and lengths via parametric design in the fashion design concept stage. This study also intends to propose a modeling method that can judge and transform the shape through immediate parameter adjustment. We looked at cases that utilized parametric design in other fields of fashion design, reviewed and analyzed the variables used in each study, and constructed parameters suitable to implement skirt fashion design. The traditional design elements required for skirt design, namely waist and hip circumferences, were set as variables in this study. The parametric design was developed to generate ideas of two skirt silhouettes (tight and flared) and three lengths (mini, knee-length, and maxi). To apply the skirt design implemented through variables to the actual 3D human shape, the shape data of women in their 20s and 30s were randomly selected from the 5th human data of Size Korea. Skirt design silhouette modeling was performed by adjusting the variable values according to body type. Parametric design has the potential to help develop design ideas in the field of fashion design, considering the method and characteristics of parameters of the variety of variables and rapid modification. Furthermore, if systematic research on variables and options among fashion design elements is conducted, the possibility of converging them into customization or co-design fashion design processes could be confirmed.

• 한국식품영양과학회지
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• 제16권4호
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• pp.300-305
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• 1987

동결건조한 벼메뚜기의 저장성을 검토하기 위하여 $5^{\circ}C$ 냉장중의 색소의 변화를 측정하고 색소성분을 분리동정하여 이들이 지질의 산화에 미치는 영향을 조사하였다. 저장중 chlorophyll 함량은 크게 감소하고 pheophytin 함량이 증가하였는데, 진공포장은 chlorophyll의 분해를 어느 정도 억제하였다. 98일간 저장한 시료로부터 추출한 색소를 Silicic acid column으로 분획하여 chlorophyll류로 보이는 3구분(3a, 3b 및 3d)을 분취하고 TLC상에서의 Rf치(0.75, 0.50)와 흡수스펙트라에서의 흡수극대파장(408, 666nm; 419, 651nm; 433, 655nm)을 표준품의 것과 비교하여 pheophytin a 와 b 그리고 chlorophyll a의 분해물을 동정하였다. 이들 구분중 pheophytin a와 b 구분은 지질의 산화에 강력한 촉진작용을 하는 것으로 나타났다.

• Applied Microscopy
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• 제20권1호
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• pp.105-119
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• 1990

In order to know the morphological characteristics and changes according to the developmental stage, the comparative observations have been studied by light and electron microscope on the midgut(gastric caecum, stomach) of the grasshopper(Oxya sinuosa Mistshenko). The results obtained are summarized as follow : In light microscopic level, the cuboidal shaped cells of the gastric caecum in the 5th instar nymph are differentiated the columnar epithelium in the adult. A number of pigment granules are appeared in the gastric caecum of the 5th instar nymph, however the pigment granules were absent in the adult. Indistinct or undifferentiated folds of the epithelial layer were appeared in the 5th instar nymph, whereas the well-developed folds were appeared the gastric caecum in the adult. The well-developed muscular layers are seen in the 5th instar numph, however in the adult the muscular layers are appeared thin or a few layers. In electron microscopic level, in the midgut epithelium, a number of well-developed rER, a few lipid droplets, multi vesicular bodies, small vesicles and glycogen granules were found. Two types of the pigment granules in the gastric caecum of the 5th instar nymph were appeared, whereas the whorl-membrane, a few secretory granules and one type of the gastro-entero-endocrine cell were found in the adult midgut. The light and dark cells could be distinguished in the stomach epithelim of the 5th instar nymph.

• Entomological Research
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• 제48권6호
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• pp.490-498
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• 2018

Ruspolia differens (Serville) (Orthoptera: Tettigoniidae) is a highly valued edible grasshopper species in Africa. However, the effects of plant diets on lipid content and fatty acid composition of R. differens are not well understood. We tested the effects of four diets on the total lipid content and fatty acid composition of R. differens. Sixth instar nymphs of R. differens were reared on one, and mixtures of two, three, and six natural plant inflorescences. Individuals collected from the field constituted a control treatment. We extracted lipids and analyzed the fatty acid methyl esters using gas chromatography-mass spectrometry. We analyzed if the total lipid content, body weight, and fatty acid composition differed among diets and between the sexes using two-way ANOVAs and a PERMANOVA model, respectively. The total lipid content and weight of R. differens did not differ among the diets. The nine common fatty acids were palmitic (mean across treatments, 26%), oleic (22%), palmitoleic (18%), linoleic (13%), stearic (7%), myristic (6%), myristoleic (4%), ${\alpha}$-linolenic (2%) and arachidic acid (1%). The composition of fatty acids and the proportion of essential fatty acids significantly differed among the diets. The proportion of essential fatty acids was highest in the control treatment (21%) but low in less diversified (one to three feed) diets (12-13%). This study demonstrates that the fatty acid composition in R. differens can be influenced through diet. Thus, with dietary manipulations, using local plants in Africa, it is possible to produce R. differens with preferred high quality essential fatty acids for human consumption.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권2호
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• pp.520-541
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• 2023

In CRNs, SS is of utmost significance. Every CR user generates a sensing report during the training phase beneath various circumstances, and depending on a collective process, either communicates or remains silent. In the training stage, the fusion centre combines the local judgments made by CR users by a majority vote, and then returns a final conclusion to every CR user. Enough data regarding the environment, including the activity of PU and every CR's response to that activity, is acquired and sensing classes are created during the training stage. Every CR user compares their most recent sensing report to the previous sensing classes during the classification stage, and distance vectors are generated. The posterior probability of every sensing class is derived on the basis of quantitative data, and the sensing report is then classified as either signifying the presence or absence of PU. The ISVM technique is utilized to compute the quantitative variables necessary to compute the posterior probability. Here, the iterations of SVM are tuned by novel GO-PSA by combining GOA and PSO. Novel GO-PSA is developed since it overcomes the problem of computational complexity, returns minimum error, and also saves time when compared with various state-of-the-art algorithms. The dependability of every CR user is taken into consideration as these local choices are then integrated at the fusion centre utilizing an innovative decision combination technique. Depending on the collective choice, the CR users will then communicate or remain silent.

• 한국의류산업학회지
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• 제25권1호
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• pp.92-103
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• 2023

As the body shape change which occurs after middle age is the main factor affecting the fit of ready-to-wear clothes, this study was designed to classify and analyze the torso shapes of middle-aged men. This study sorted 3D body scans of 200 men aged 40-64 from the 8th Size Korea (2021) database and extracted their 47 measurement values using the Grasshopper algorithm for automatic extraction landmarks and measurements, developed by the previous research (Ryu & Song, 2022). Eight principal components (torso length, shoulder size, overall body size, abdomen prominence, back protrusion, neck inclination, upper body slope, and hip prominence) were identified and four torso shapes were classified. Shape 1 (28.5%) exhibited the shortest torso length, the narrowest shoulders, and the most protruding back. Shape 2 (21.0%) exhibited the skinniest body and the largest backward inclination of the upper body. Hence, the back appeared to be protruding, and the abdomen looked prominent. Shape 3 (25.5%) had the largest overall body size. Thus, the abdomen looked the least protruding, and it exhibited the flattest back. Shape 4 (25.0%) had the longest torso, widest shoulders, straightest neck, and the least protruding hips. This study suggested these three discriminant functions to identify a new person's torso type.

• Geomechanics and Engineering
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• 제31권1호
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• pp.113-127
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• 2022

The undrained shear strength of soil is considered one of the engineering parameters of utmost significance in geotechnical design methods. In-situ experiments like cone penetration tests (CPT) have been used in the last several years to estimate the undrained shear strength depending on the characteristics of the soil. Nevertheless, the majority of these techniques rely on correlation presumptions, which may lead to uneven accuracy. This research's general aim is to extend a new united soft computing model, which is a combination of random forest (RF) with grasshopper optimization algorithm (GOA) to the pile set-up parameters' better approximation from CPT, based on two different types of data as inputs. Data type 1 contains pile parameters, and data type 2 consists of soil properties. The contribution of this article is that hybrid GOA - RF for the first time, was suggested to forecast the pile set-up parameter from CPT. In order to do this, CPT data and related bore log data were gathered from 70 various locations across Louisiana. With an R² greater than 0.9098, which denotes the permissible relationship between measured and anticipated values, the results demonstrated that both models perform well in forecasting the set-up parameter. It is comprehensible that, in the training and testing step, the model with data type 2 has finer capability than the model using data type 1, with R² and RMSE are 0.9272 and 0.0305 for the training step and 0.9182 and 0.0415 for the testing step. All in all, the models' results depict that the A parameter could be forecasted with adequate precision from the CPT data with the usage of hybrid GOA - RF models. However, the RF model with soil features as input parameters results in a finer commentary of pile set-up parameters.

• 한국의류산업학회지
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• 제25권5호
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• pp.603-614
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• 2023

Body shape is the most influential factor in determining the quality of clothing fit. Women's body shape begins to change significantly in their mid-30s; therefore, this study aimed to classify and analyze the torso shapes of women aged 35-54 years. This study selected 200 3D body scans of women from the 8th Size Korea Survey database (2021). Using the Grasshopper algorithm developed in a previous study, 17 landmarks were automatically detected and 57 measurement values were generated. Using principal component analysis, 11 components (overall body size, upper body length, back protrusion, upper body slope, neck position, neck inclination, hip length, bust prominence, abdominal prominence, shoulder slope, and buttock prominence) were extracted. Three torso types were identified using K-means cluster analysis. The three body types were significantly different on nine component scores. Among the three torso types, Type 1 (37.5%) has the longest upper body and the flattest back and hips. Type 2 (31.0%) has the most curved back and forward upper body. Its abdomen is the flattest, and its shoulders are the most sloped. Type 3 (31.5%) has the shortest upper body, the most protruding hips, and the largest overall body size. This paper proposes two discriminant functions for identifying a new person's torso type.

• 한국조경학회지
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• 제51권2호
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• pp.1-11
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• 2023

수목의 파손은 주변 재산과 생명에 치명적인 위험을 초래한다. 특히, 도복으로 인한 위험은 피해범위가 넓고, 충격의 강도가 높기 때문에 선제적으로 대응하는 것이 중요하다. 이에 도복 시 예상되는 잠재적 위험범위를 산정하거나 위험등급을 평가한 시도가 있었지만, 구체적인 물리량으로 위험을 정량화하지 못하였다. 또한, 수목과 피해대상의 형상을 입체적으로 반영하지 못했다는 아쉬움이 있다. 본 연구는 수목의 도복 시 발생할 수 있는 위험범위와 충격량을 정량적, 입체적으로 예측하기 위한 기법의 개발을 목적으로 하였다. 주요 결과는 다음과 같다. 첫째, 수목의 도복 시 발생하는 위험범위와 충격량 산출식을 정립하였다. 위험범위 산출 시 수목이 쓰러져 미끄러지는 가능성을 반영해 수고의 1.5배를 반경으로 하는 원의 내부 범위로 확대하여 계산하였다. 수목의 기울기에 따라 직립으로 생육하는 수목은 근원부를 중심으로 360° 범위, 기울어져 생육하는 수목은 기운 방향에서 180° 범위로 설정하였다. 충격량은 충돌이 발생하기 직전 수목의 나중운동량이 피해대상에 전달되는 현상을 이용해 산출하였다. 또한, 수목이 쓰러질 때 근원부를 기점으로 회전운동 하는 것을 반영해 각운동량을 산출하였으며, 이를 선운동량으로 전환하여 충격량을 계산하였다. 둘째, Rhino3D와 Grasshopper를 이용하여 위험범위, 충격량 산출 알고리즘을 개발하였다. 알고리즘은 3차원 모델 제작, 산출, 조회 기능으로 구성하였다. 3차원 모델은 Rhino3D를 이용하여 지형, 건물, 수목의 형상을 입체적 모델로 제작하였고, 이를 Grasshopper에 연결하여 공간정보를 구축하였다. 산출 기능에서는 산출식을 활용하여 알고리즘을 코딩하였다. 산출 시 수고, 기울기, 중량 등 수목의 생육 정보와 인접수목, 피해대상, 분석범위 등 주변 환경을 고려하였다. 조회 기능에서는 산출 결과를 종합하여 3차원 모델에 가시화하였다. 산출값에 따라 색상으로 구분하여 위험수목과 위험구역을 효율적으로 판단하였다. 본 연구는 수목의 도복 시 발생하는 잠재적 위험범위와 충격량을 정량적으로 산출하고, 이를 가시화하여 우선관리가 필요한 대상을 효율적으로 판단하는 방법을 제시하였다. 이는 도복 발생 시, 주변 건물과 관람객의 안전을 위한 대책 수립 및 재난 예방의 기초자료로 활용될 수 있을 것이다. 또한, 도심지와 공원, 문화재구역에서 명확한 기준 없이 진행되는 수목의 제거를 방지하는데 기여할 것이다.

• Applied Microscopy
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• 제20권2호
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• pp.46-56
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• 1990

Ultrastructure of the hemopoietic organ in the grasshopper, Euprepocnemis shirakii, was studied using light and electron microscopes. The hemopoietic organs located on the upper surface of the dorsal diaphragm between 1st and 8th segments were consisted of 3 kinds of cells; the reticular cells, stem cells and two types of granulocytes. The reticular cells had numerous cytoplasmic processes and forming a complex network. Characteristically, pinocytotic vesicles and rough endoplasmic reticulum were well developed in this cell. The stem cells give rise to differentiating hemocytes of the different cell lineages. Granulocytes within the hemopoietic organs were originated from the stern cells and differentiated into two types of hemocytes ; granulocyte( I ), granulocyte( II ).