• Journal of the Korean Applied Science and Technology
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• v.36 no.1
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• pp.113-124
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• 2019

The purpose of the study was to investigate the effects of sea cucumber extract on skin as a natural cosmetics functional material. Subjective evaluation of cosmetics before and after were conducted with questionnaires regarding moisture content, sebum content, melanin index, and erythema index. Experiments were conducted on improvement efficacy using skin clinical trials and questionnaires to evaluate changes in perception of skin condition and efficiency of products. With the aim of minimizing skin irritation, the efficiency of the solvent used for extraction was an important factor, and the sea cucumber extract was harvested with efficient extraction conditions at a ratio of 1:10 of 50% ethanol. The study aimed to identify the suitability of sea cucumber extract as a functional cosmetics material to improve the moisturizing ability of skin and its effect on the skin by adding marine natural animal sea cucumber extract. Clinical studies on cosmetics skin containing sea cucumber extract, excellent skin improvement effect from all items of clinical experiment in experimental and control groups. Sea cucumber extract was proved to be a stable, non-adverse physiologically active substance against abnormal symptoms or side effects of skin reactions and skin problems. In addition, the study found excellent results that can lead to its use as a cosmetics material. This is expected to contribute to the development of various cosmetics industries.

• Journal of Multimedia Information System
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• v.6 no.2
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• pp.49-60
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• 2019

Plants are very crucial for life on Earth. There is a wide variety of plant species available, and the number is increasing every year. Species knowledge is a necessity of various groups of society like foresters, farmers, environmentalists, educators for different work areas. This makes species identification an interdisciplinary interest. This, however, requires expert knowledge and becomes a tedious and challenging task for the non-experts who have very little or no knowledge of the typical botanical terms. However, the advancements in the fields of machine learning and computer vision can help make this task comparatively easier. There is still not a system so developed that can identify all the plant species, but some efforts have been made. In this study, we also have made such an attempt. Plant identification usually involves four steps, i.e. image acquisition, pre-processing, feature extraction, and classification. In this study, images from Swedish leaf dataset have been used, which contains 1,125 images of 15 different species. This is followed by pre-processing using Gaussian filtering mechanism and then texture and color features have been extracted. Finally, classification has been done using Multiclass-support vector machine, which achieved accuracy of nearly 93.26%, which we aim to enhance further.

• Archives of Plastic Surgery
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• v.46 no.2
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• pp.147-151
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• 2019

Background Successful aesthetic plastic surgery is devoid of both unsightly scarring and postoperative disfigurement. Patients undergoing midface-lifting surgery are very often disconcerted by an altered side hairline, including sideburns, despite considerable amelioration of facial wrinkles. This study was conducted to identify an effective means of approaching an altered hairline and the unavoidable scarring arising from midface-lifting surgery. Methods A total of 37 patients who underwent corrective surgery with hair transplantation for hair loss or scar deformity arising from midface-lifting surgery from June 2014 to June 2017, and were observed for more than 6 months thereafter, were enrolled in the study. Prior to corrective surgery, the patients were administered a multiple-choice survey regarding their dissatisfaction arising from midface-lifting surgery. Among the 37 patients, 24, 12, and one underwent donor harvesting by the strip method, non-shaven follicular unit extraction, and partial shaving follicular unit extraction, respectively. Additionally, 33 of the 37 patients underwent hair transplantation in the frontotemporal recess area along with hairline correction surgery. The average number of transplanted grafts was 1,025. Results Surgery resulted in a natural and satisfactory appearance in all patients. The average patient and physician subjective satisfaction scores were 4.6 and 4.8, respectively. No adverse events such as folliculitis occurred. Conclusions Side-hairline correction surgery by hair transplantation can be considered an effective method of realigning an altered hairline accompanied by scars following midface-lifting surgery.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.3
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• pp.208-214
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• 2021

Recently, much of the intelligent security scenario and criminal investigation demands for matching photo and non-photo. Existing face recognition system can not sufficiently guarantee these needs. In this paper, we propose an algorithm to improve the performance of heterogeneous face recognition systems by reducing the different modality between sketches and photos of the same person. The proposed algorithm extracts each image's texture features through texture descriptors (gray level co-occurrence matrix, multiscale local binary pattern), and based on this, generates a transformation matrix through eigenfeature regularization and extraction techniques. The score value calculated between the vectors generated in this way finally recognizes the identity of the sketch image through the score normalization methods.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.348-358
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• 2022

Software fault prediction is a method to compute fault in the software sections using software properties which helps to evaluate the quality of software in terms of cost and effort. Recently, several software fault detection techniques have been proposed to classifying faulty or non-faulty. However, for such a person, and most studies have shown the power of predictive errors in their own databases, the performance of the software is not consistent. In this paper, we propose a hybrid soft computing technique for SFP based on optimal feature extraction and classification (HST-SFP). First, we introduce the bat induced butterfly optimization (BBO) algorithm for optimal feature selection among multiple features which compute the most optimal features and remove unnecessary features. Second, we develop a layered recurrent neural network (L-RNN) based classifier for predict the software faults based on their features which enhance the detection accuracy. Finally, the proposed HST-SFP technique has the more effectiveness in some sophisticated technical terms that outperform databases of probability of detection, accuracy, probability of false alarms, precision, ROC, F measure and AUC.

• Journal of the Korean Wood Science and Technology
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• v.52 no.1
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• pp.31-46
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• 2024

Subterranean termite attacks on cajuput (Melaleuca cajuputi) seedling roots were widespread in several of Java's Perum Perhutani Forest Management Units. This attack was suspected to be related to the chemical components of the cajunput seedling roots. This study was conducted to determine the bioactivity of cajuput seedling root extract as an attractant for the subterranean termite Coptotermes curvignathus Holmgren (Isoptera: Rhinotermitidae). The extraction process was performed according to ASTM D1108-96, and the extract was characterized using gas chromatography-mass spectrometry (GC-MS). Bioactivity testing of the extracts was carried out using attractiveness and no-choice feeding bioassays. The results showed that the average root extraction yield from cajunput seedlings was 4.94%. The attractiveness of the extract solutions at concentrations of 0.50%, 0.75%, and 1.00% were 45.33%, 62.00%, and 74.67%, respectively. The mortality rate of C. curvignathus termites ranged from 9.63% to 24.44%. Cajuput seedling root extract's lethal concentration 50 was 2.45% (non-toxic). GC-MS analysis showed that the extract contained linoleic acid, which has the potential to attract insects.

• Journal of Ginseng Research
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• v.10 no.1
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• pp.94-100
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• 1986

Korean red ginseng tails was extracted with solutions having various ethanol concentration at the temperature range of 70-$100^{\circ}C$, Extraction was carried out for 1-5 times of 8 hours at given condition. Sensory properties and color of RG-Ext. were found to be significantly affected by conditions of extraction. Absorbance at 490nm was decreased as the ethanol concentration increased, the increase in ethanol concentration also showed an increase in the Hunter's values of "L" and "b", and a decrease in "a" value indicating the color of RG-Ext. was changed to yellowish with less in darkness. Increase in extraction time and temperature caused darker brown color which is indicates a typical phenomena of non-enzymatic browning reaction. The flavor and bitternes of RG-Ext. were found to be significantly increased as the ethanol concentration increase, the generally responses of acceptance range of ethanol concentration was 30-70%.

• Journal of KIISE:Computer Systems and Theory
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• v.37 no.2
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• pp.110-125
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• 2010

We present a novel scheme for generating line drawings from 2D images, aiming to facilitate effective visual communication. In contrast to conventional edge detectors, our technique imitates the human line drawing process to generate lines effectively and intuitively. Our technique consists of three parts: line extraction, line rendering, and user guidance. In line extraction, we extract lines by estimating a likelihood function to effectively find the genuine shape boundaries. In line rendering, we consider the feature scale and the blurriness of lines with which the detail and the focus-level of lines are controlled. We also employ stroke textures to provide a variety of illustration styles. User guidance is allowed to modify the shapes and positions of lines interactively, where immediate response is provided by GPU implementation of most line extraction operations. Experimental results demonstrate that our technique generates various kinds of line drawings from 2D images enabled by the control over detail, focus, and style.

• Journal of the Korea Organic Resources Recycling Association
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• v.15 no.1
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• pp.143-148
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• 2007

The objective of this study was to investigate the proper conditions of calcination and calcium extraction from powdered oyster shell. The physical characteristics such as particle size distribution, surface morphology, and thermal gravity were examined. The following result were obtained. As the powdered oyster shell was ignited in high temperature of $650^{\circ}C$ to $950^{\circ}C$, the calcination reactions was effectively progressed. The amount of weight loss during calcination would be matched with the generation of carbon dioxide gas. In the calcination of powdered oyster shell, the amount of weight loss increased according to the increased of calcination temperature and the decrease of mean particle size. It was founded that the proper temperature and retention time of calcination was $850^{\circ}C$ and 40 minute. In the extraction of calcium into liquid form using acid addition, the calcination oyster shell was more effective than the non-calcinated shell. The liquid calcium extraction technique using the calcinated oyster shell needed more researches considering cost evaluation.

• Applied Chemistry for Engineering
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• v.26 no.1
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• pp.17-22
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• 2015

International interests in chemical warfare agents (CWAs) have been increased recently because of the use of sarin (GB) in Syrian civil war which caused around 1,300 casualties in 2013. After exposing to natural environments, CWAs undergo hydrolysis or photodegrade to non-toxic degradation byproducts. Generally, CWAs and their degradation byproducts are present at very low concentration (e.g. several ppb), thus pretreatment processes including separation, extraction and concentration are required prior to any analyses. Liquid-liquid extraction and solid-phase extraction (SPE) are common techniques to pretreat environmental samples. Recently, a novel pretreatment method, liquid phase miecoextraction (LPME), has been applied to CWAs analysis, which could reduce amounts of solvent used but promote analytical efficiencies. Fundamental backgrounds of LPME and its application to CWAs analysis were reviewed.