• Title/Summary/Keyword: Product Line

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Industrial analysis according to lithography characteristics of digital micromirror device and polygon scanner (Digital Micromirror Device와 Polygon scanner의 Lithography 특성에 따른 산업적 분석)

  • Kim, Ji-Hun;Park, Kyu-Bag;Park, Jung-Rae;Ko, Kang-Ho;Lee, Jeong-woo;Lim, Dong-Wook
    • Design & Manufacturing
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    • v.15 no.4
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    • pp.65-71
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    • 2021
  • In the early days of laser invention, it was simply used as a measuring tool, but as lasers became more common, they became an indispensable processing tool in the industry. Short-wavelength lasers are used to make patterns on wafers used in semiconductors depending on the wavelength, such as CO2 laser, YAG laser, green laser, and UV laser. At first, the hole of the PCB board mainly used for electronic parts was not thin and the hole size was large, so a mechanical drill was used. However, in order to realize product miniaturization and high integration, small hole processing lasers have become essential, and pattern exposure for small hole sizes has become essential. This paper intends to analyze the characteristics through patterns by exposing the PCB substrate through DMD and polygon scanner, which are different optical systems. Since the optical systems are different, the size of the patterns was made the same, and exposure was performed under the optimal conditions for each system. Pattern characteristics were analyzed through a 3D profiler. As a result of the analysis, there was no significant difference in line width between the two systems. However, it was confirmed that dmd had better pattern precision and polygon scanner had better productivity.

A study on the improvement of seamless knitwear sleeve design (무봉제 니트웨어의 소매디자인 향상을 위한 연구)

  • Kang, Hee Myung;Ki, Hee-Sook
    • Journal of the Korea Fashion and Costume Design Association
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    • v.23 no.4
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    • pp.57-71
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    • 2021
  • The purpose of the study is to derive an appropriate knitting method that can increase the appearance, wearability, and functionality through empirical research on the sleeve height knitting ratio of seamless knit wear. The study was conducted by producing seven types of experiment clothes according to knitting ratio to examine the characteristics according to the body armhole and sleeve height ratio. Specifically, after fit evaluatins, variance analysis (ANOVA) was performed to analyze the results of the evaluation, and the evaluated contents were converted into data. Among them, the items with significant results were intensively studied using the Duncan-test. The result showed that the height and the width of the sleeves vary depending on the knitting ratio. Test sweater A was the highest at 16cm, followed by test sweater B, test sweater C, test sweater D, test sweater E, test sweater F, and test sweater G at 4cm. The 1:1 ratio of test sweater A, was the highest, which is knitted in the same course as the body. The larger the difference in the ratio of body and sleeve, the lower the height of the sleeves. As a result of the appearance sensory evaluation, a significant difference was confirmed in the result values (p<0.001) from all items on the front, side, and rear. Specifically, the appearance of the test sweater B(2:4:2) on the front and test sweater C(2:4:3) on the side and rear side was the best. When the sleeves height is properly set, the ratio of the arm line to fit the design with a natural curve is analyzed as a very important factor. The results of this study are expected to be of practical use in product development and production that can increase the feeling when wearing and design satisfaction.

Packaging Design of EPS Cooling Box by Theoretical Heat Flow and Random Vibration Analysis (이론적 열유동 및 랜덤 진동 해석을 적용한 EPS 보냉용기의 포장설계)

  • Kim, Su-Hyun;Park Sang-Hoon;Lee, Min-A;Jung, Hyun-Mo
    • KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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    • v.27 no.3
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    • pp.175-180
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    • 2021
  • Although it has recently been regulated for use as an eco-friendly policy in Korea, the use of EPS (Expanded Polystyrene) cooling boxes, which are used as cold chain delivery insulation boxes for fresh agricultural and livestock products, is also increasing rapidly as e-commerce logistics such as delivery have increased rapidly due to COVID-19. Studies were conducted to optimize the EPS cooling container through internal air heat flow of CFD (Computational Fluid Dynamics) analysis and FEM (Finite Element Method) random vibration analysis using domestic PSD (Power Spectral Density) profile of the EPS cooling box to which the refrigerant is applied in this study. In the analysis of the internal air heat flow by the refrigerant in the EPS cooling box, the application of vertical protrusions inside was excellent in volume heat flow and internal air temperature distribution. In addition, as a result of random vibration analysis, the internal vertical protrusion gives the rigid effect of the cooling box, so that displacement and stress generation due to vibration during transport are smaller than that of a general cooling container without protrusion. By utilizing the resonance point (frequency) of the EPS cooling box derived by the Model analysis of ANSYS Software, it can be applied to the insulation and cushion packaging design of the EPS product line, which is widely used as insulation and cushion materials.

Development of a Python-based Algorithm for Image Analysis of Outer-ring Galaxies (외부고리 은하 영상 분석을 위한 파이썬 기반 알고리즘 개발)

  • Jo, Hoon;Sohn, Jungjoo
    • Journal of the Korean earth science society
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    • v.43 no.5
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    • pp.579-590
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    • 2022
  • In this study, we aimed to develop a Python-based outer-ring galaxy analysis algorithm according to the data science process. We assumed that the potential users are citizen scientists, including students and teachers. In the actual classification studies using real data of galaxies, a specialized software called IRAF is used, thereby limiting the general public's access to the software. Therefore, an image analysis algorithm was developed for the outer-ring galaxies as targets, which were compared with those of the previous research. The results of this study were compared with those of studies conducted using IRAF to verify the performance of the newly developed image analysis algorithm. Among the 69 outer-ring galaxies in the first test, 50 cases (72.5%) showed high agreement with the previous research. The remaining 19 cases (27.5%) showed differences that were caused by the presence of bright stars overlapped in the line of sight or weak brightness in the inner galaxy. To increase the usability of the finished product that has undergone a supplementary process, all used data, algorithms, Python code files, and user manuals were loaded in GitHub and made available as shared educational materials.

Analysis of Food Consumption Behavior of Single-person Households in Consideration of Safety Preference (안전성 선호를 고려한 1인가구의 식품소비행태 분석)

  • Kim, Ji-Hoon;Lim, Sung-Soo
    • Korean Journal of Organic Agriculture
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    • v.30 no.1
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    • pp.1-20
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    • 2022
  • With the recent rapid increase in single-person households, food companies are releasing small packaging and small-capacity products regardless of product line such as beverages, fresh foods, and home snacks, and food consumption patterns are also changing. Meanwhile, as a series of accidents related to food safety occurred during cost-effective consumption pursuing price-performance, more consumers wanted to choose products that have been proven safe even with higher money due to food safety anxiety. Considering the concept of 'safety' of food, this study by using the 'ordered probit model' empirically investigated whether there is a difference in the degree of preference for safety in food consumption behavior between single-person and multi-person households. Summarizing the results, it was found that women rather than men, and elderly households among young and single-person households had a higher demand for food safety. The results of marginal effects considering food safety variables show that respondents with low frequency of delivery and take-out use are considering food safety more, and that single-person households are considering safety more than multi-person households. In the future, the population structure of Korea will continue to increase in single-person and elderly households, and women's economic activities will also continue to increase. Therefore, the growing home convenience food market needs marketing strategies to secure and emphasize food safety, such as sterilizing treatment technology for hygiene and safe container development from environmental hormones, and needs a lot of support and attention to meet changes in food culture trends and demographic structure.

Study on Effect of Human Hair by Deer Antler Fermented Keratin Peptide (녹용 발효 케라틴 펩타이드에 의한 인체 모발 연구)

  • Gaewon, Nam
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.48 no.4
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    • pp.385-392
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    • 2022
  • In this study, keratin peptides were produced through high-temperature anaerobic fermentation of keratin, a protein contained in deer antler, with Fervidobacterium islandicum AW-1, and factors related to human hair, confirming the possibility of keratin peptides as cosmetic ingredients. As a result of the cytotoxicity and proliferation of deer antler fermented keratin peptide according to the concentration in the dermal papilla cell line, cytotoxicity was not observed and the cell proliferation effect was shown. For human dermal papilla cells, statistically significant increasing in growth factors according to the deer antler fermented keratin peptide was determined possiblity of effects on hair growth. Cosmetic products containing deer antler fermented keratin peptides were manufactured and skin safety and anti hair loss efficacy clinical tests were conducted. As a result, after 12 weeks of use, the total number of hairs statistically significant increased compared to before using the product and the difference in total number of hairs compared to the control group was found. In conclusion, we suggest that the possibility of fermented deer antler keratin peptide as a cosmeceutical ingredient as well as a health functional food material was confirmed.

Porphyra tenera induces apoptosis of oral cancer cells (구강암 세포주에서 김 추출물에 의한 세포자멸사 유도)

  • Kim, Sang Chan;Lee, Jong Rok;Park, Sook Jahr
    • The Korea Journal of Herbology
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    • v.30 no.2
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    • pp.25-30
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    • 2015
  • Objectives : Laver (Porphyra tenera), a red algae species, is one of the most widely consumed edible seaweed in Korea. Laver contains various substances such as essential amino acid, fiber, minerals and polyphenols that benefit human health. In the present study, we prepared ethanol extracts from commercially processed product of Porphyra tenera, and evaluated the growth inhibitory effect against human oral squamous carcinoma YD-10B cells. Methods : Cell viability was measured by MTT assay. Apoptosis was confirmed by TUNEL assay and flow cytometry with the green fluorescent dye FITC annexin V entering apoptotic cells and the red fluorescent dye PI not entering. The expression of the relevant proteins was detected using Western blot. Results : Ethanol extracts of Porphyra tenera (PTE, $50-200{\mu}g/m{\ell}$) caused a significant decrease of cell viability in a dose dependant manner. The cell death occurred as a result of apoptotic process as determined by TUNEL assay and flow cytometric analysis. In line with this observation, decrease in procaspase proteins and increase in cytosolic cytochrome c were observed in cells treated with PTE. In addition, exposure to PTE decreased the expression levels of Bcl-2, and induced PARP cleavage and AIF translocation from mitochondria to nucleus. Conclusions : In conclusion, PTE exerts anti-cancer effects by inducing apoptosis via caspase activation and AIF nuclear translocation in YD-10B cells. These results provide evidence for the possible therapeutic effect of Porphyra tenera in oral cancer cells.

A Study on the Design of Dual-Band Small Pacth Antenna using T-shaped Feeder and Spiral Structure (T자형 급전선과 스파이럴구조를 이용한 이중대역 소형패치 안테나 설계에 관한 연구)

  • Lee, Yun-Min;Shin, Jin-Seob
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.4
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    • pp.35-40
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    • 2022
  • This paper proposes an antenna that is located outside the PCB substrate of an electronic product to enable wireless communication in the ISM band. The PCB designed the T-shaped OPEN-STUB power supply line to be miniaturized so that it does not interfere with parts or interfere with design. The characteristics of the antenna were confirmed in the 2.4GHz and 5.8GHz bands using a T-shaped stub feeder and a spiral structure. The size of the antenna is 5mm in width × 6.5mm in length, and the thickness of the PCB is 1.2T. As a result of measurement of the manufactured antenna, it was possible to obtain a return loss of -10dB or more at 2.4GHz and 5.8GHz. In the E-plane, the gain was -4.45 dBi, and in the H-plane, the gain was -1.05 dBi. Therefore, the proposed small antenna for wireless communication showed excellent performance.

Classification of DJI Drones Based on Flight Log Decryption Method (비행 로그 복호화 방식에 따른 DJI 드론 분류)

  • Lee, Youngwoo;Kim, Juhwan;Yu, Jihyeon;Yun, Joobeom
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.32 no.1
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    • pp.77-88
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    • 2022
  • With the development and popularization of drone manufacturing technology, the drone market, which was mainly focused on industry, agriculture, and military, is also showing great growth in individual and commercial markets. Among them, DJI has a high share in the personal and commercial drone market, and accordingly, forensic analysis of DJI drones is drawing attention. In particular, when stealing and analyzing drones used in criminal acts, a technology to interpret flight logs recording drone flight paths and hardware information is needed, which inevitably applies drone models due to differences in decryption methods. Therefore, when an unidentified drone is acquired from the perspective of a digital forensic investigator, a clear classification of a drone model to which analysis can be applied is required. This paper proposes a method of extracting and analyzing artifacts of DJI drones through forensics, and analyzes media data analysis and flight log analysis results and decryption methods for three drone models with different release years of DJI. Finally, drones in the DJI product line are classified according to whether the commercialized DJI drone flight log is decrypted.

Metal Surface Defect Detection and Classification using EfficientNetV2 and YOLOv5 (EfficientNetV2 및 YOLOv5를 사용한 금속 표면 결함 검출 및 분류)

  • Alibek, Esanov;Kim, Kang-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.4
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    • pp.577-586
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    • 2022
  • Detection and classification of steel surface defects are critical for product quality control in the steel industry. However, due to its low accuracy and slow speed, the traditional approach cannot be effectively used in a production line. The current, widely used algorithm (based on deep learning) has an accuracy problem, and there are still rooms for development. This paper proposes a method of steel surface defect detection combining EfficientNetV2 for image classification and YOLOv5 as an object detector. Shorter training time and high accuracy are advantages of this model. Firstly, the image input into EfficientNetV2 model classifies defect classes and predicts probability of having defects. If the probability of having a defect is less than 0.25, the algorithm directly recognizes that the sample has no defects. Otherwise, the samples are further input into YOLOv5 to accomplish the defect detection process on the metal surface. Experiments show that proposed model has good performance on the NEU dataset with an accuracy of 98.3%. Simultaneously, the average training speed is shorter than other models.