• Title/Summary/Keyword: 기술트리

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Design of Zero-Layer FTP Memory IP (PMIC용 Zero Layer FTP Memory IP 설계)

  • Ha, Yoongyu;Jin, Hongzhou;Ha, Panbong;Kim, Younghee
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.11 no.6
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    • pp.742-750
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    • 2018
  • In this paper, in order to enable zero-layer FTP cell using only 5V MOS devices on the basis of $0.13{\mu}m$ BCD process, the tunnel oxide thickness is used as the gate oxide thickness of $125{\AA}$ of the 5V MOS device at 82A. The HDNW layer, which is the default in the BCD process, is used. Thus, the proposed zero layer FTP cell does not require the addition of tunnel oxide and DNW mask. Also, from the viewpoint of memory IP design, a single memory structure which is used only for trimming analog circuit of PMIC chip is used instead of the dual memory structure dividing into designer memory area and user memory area. The start-up circuit of the BGR (Bandgap Reference Voltage) generator circuit is designed to operate in the voltage range of 1.8V to 5.5V. On the other hand, when the 64-bit FTP memory IP is powered on, the internal read signal is designed to maintain the initial read data at 00H. The layout size of the 64-bit FTP IP designed using the $0.13-{\mu}m$ Magnachip process .is $485.21{\mu}m{\times}440.665{\mu}m$($=0.214mm^2$).

Preparation and Properties of Polyurethanes Containing Polycarbonate Polyol/Bio Polyol for Wet Type Artificial Leather (폴리카보네이트 폴리올/바이오 폴리올을 이용한 습식 인조피혁용 폴리우레탄의 제조 및 물성)

  • Sur, Suk-Hun;Ko, Jae-Wang;Choi, Pil-Jun;Lee, Jae-Yeon;Lee, Young-Hee;Kim, Han-Do
    • Clean Technology
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    • v.25 no.2
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    • pp.114-122
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    • 2019
  • The synthesis of bio polyol from renewable resources has attracted attention in recent years. In particular, it is important to take advantage of bio polyols in the synthesis of polymers. In this study, a series of dimethylformamide (DMF) based polyurethanes were synthesized using polycarbonate polyol/bio polyol (PO3G: polytrimethylene ether glycol prepared from 1, 3-propanediol produced by fermentation from corn sugar), methylene diphenyl diisocyanate (MDI) and 1,4-butandiol (BD). The properties of prepared polyurethane films and the cell structure of wet type artificial leather were investigated. As the bio polyol content increased, the tensile strength of polyurethane films decreased, however, the elongation at break increased significantly. As a result of thermal characteristics analysis, the glass transition temperature of polyurethanes increased when increasing the content of polycarbonate polyol. As a result of comparing the cell characteristics of wet type artificial leathers prepared in this study, it was found that the number and uniformity of cells formed in the artificial leather samples increased when increasing the content of polycarbonate polyol in polycarbonate polyol/bio polyol. From these results, it was found that DMF-based polyurethane containing an appropriate amount of bio polyol could be used for wet type artificial leather. The bio textile analysis system according to ASTM standard was used to measure the bio carbon content of polyurethane. The content of bio carbon increased proportionally with the increase of bio polyol content used in polyurethane synthesis.

Preparation and Properties of DMF-Based Polyurethanes Containing Bio-Polyol/Ester-Polyol for Wet-Type Polyurethane Artificial Leather (습식 인조피혁용 바이오 폴리올/폴리에스터 폴리올을 함유한 DMF 기반 폴리우레탄의 제조 및 물성)

  • Sur, Suk-Hun;Choi, Pil-Jun;Ko, Jae-Wang;Park, Ji-Hyeon;Lee, Jae-Yeon;Lee, Young-Hee;Kim, Han-Do
    • Clean Technology
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    • v.25 no.1
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    • pp.7-13
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    • 2019
  • Recently, attention has been paid to obtaining bio-polyols from renewable resources. Successful use of these natural ingredients successfully produced in the industry for the synthesis of various polyurethanes is a very important task. In this study, a series of dimethylformamide (DMF) based polyurethanes were synthesized from methylene diphenyl diisocyanate (MDI)/1, 4-butanediol and bio-polyol (polytrimethylene ether glycol based on 1, 3-propanediol : B-POL)/polyester polyol (polyadipate diol based on 1,4-butandiol : H-PET). The effect of different ratio of bio-polyol (B-POL)/polyester polyol (H-PET) on the physical properties of polyurethane was investigated. As the B-POL content in B-POL/H-PET mixture increased, the glass transition of soft segment (Tgs) and tensile strength of polyurethane decreased, however, the elongation at break and tear strength increased. On the other hand, artificial leather was produced by wet process using synthesized DMF-based polyurethanes. It was found that there was almost no difference in the effect of the B-POL/H-PET composition on the average size and density (the number of cells per unit volume) of the porous cells formed in artificial leather. These results show that there is no problem in using bio-polyol (B-POL) based polyurethane for artificial leather produced by wet process.

Comparative study of the biological activities effect of Mentha arvensis L. extracts from water and 80% ethanol (열수 및 80% 에탄올로 추출한 박하의 생리활성 비교연구)

  • Choi, Dong-Hun;Seung, O-Tak;Lim, Mi-Hye
    • Journal of the Korean Applied Science and Technology
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    • v.36 no.1
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    • pp.208-216
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    • 2019
  • The purpose of this study was to investigated the biological activities such as cytotoxic, anti-oxidant and anti-inflammatory using Mentha arvensis L. extracts. Mentha arvensis L. was prepared by extracting with DW and 80% ethanol, after cell viability was assessed by MTT assay using RAW 264.7 cells. Antioxidant activities, and Anti-inflammatory activities measured through changes in the levels of reactive oxygen species (ROS), nitric oxide (NO), leukotrien B4 (LTB4), and anti- or in-flammatory cytokines($IL-1{\beta}$, IL-6, tumor necrosis factor $(TNF)-{\alpha}$, and IL-10) on LPS-induced RAW 264.7 cells. All test measured by ELISA reader and Luminex. Mentha arvensis L. was no cytotoxic in water and 80% ethanol extracts, and Concentration of 100 ug/ml of 80% ethanol extract was suppressed the productions of ROS in LPS-induced RAW 264.7 cells. Also, Productions of NO, LTB4, inflammatory or anti-inflammatory cytokines showed efficacy change that dose-independent of all extracts. In other words, Mentha arvensis L. showed significant biological activities showing anti-inflammatory, and anti-oxidant. These results may be developed as a raw material for new health food and therapeutics to ease the symptoms mentioned above.

Centrifugal Test on Behavior of the Dolphin Structure under Ship Collision (선박충돌 시 돌핀 구조물의 거동에 대한 원심모형실험)

  • Oh, SeungTak;Bae, WooSeok;Cho, SungMin;Heo, Yol
    • Journal of the Korean GEO-environmental Society
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    • v.12 no.1
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    • pp.61-70
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    • 2011
  • The impact protection system consists of an arrangement of circular sheet pile cofferdams-denoted dolphin structuredeeply embedded in the seabed, filled with crushed rock and closed at the top with a robust concrete cap. Centrifuge model tests were performed to investigation the behaviors of dolphins in this study. Total 7 quasi-model tests and 11 dynamic model tests were performed. The main experimental results can be summarized as follows. Firstly, The experimental force-displacement results for quasi-static tests show a limited influence on the initial stiffness of the structure from the change in fill density and the related change in the stiffness of the fill. And by comparing the dissipation at the same dolphin displacement it was found that the denser fill increase the dissipation by 16% for the 20m dolphin and by 23% for the 30m dolphin. The larger sensitivity for the large dolphin is explained by a larger contribution to the dissipation from strain in the fill. In low level impacts the dynamic force-response is up to 26~58% larger than the quasi-static and the dissipation response is showed larger in small displacement. Hence, it is concluded conservative to use the quasi-static response characteristics in the approximation of the response, and it is further concluded that the dolphin resistance to low level impacts is demonstrated to be equivalent and even superior to the high level impacts.

Preparation and Characterization of a Cross-Linked Anion-Exchange Membrane Based on PVC for Electrochemical Capacitor (전기화학 캐퍼시터용 PVC기반 가교 음이온교환 멤브레인의 제조 및 특성)

  • Kim, Young-Ji;Kim, Soo-Yeoun;Choi, Seong-Ho
    • Journal of the Korean Applied Science and Technology
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    • v.38 no.3
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    • pp.903-913
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    • 2021
  • Three-type PVC membranes denoted by AEM-1, AEM-2, and AEM-3 with a cross-linked anion-exchange group were prepared by substitution reaction of PVC with triethyldiamine (TEDA), 1,4-dimethylpiperazine (DMP), and 1,4-bis(imidazol-1-ylmethyl)benzene (BIB) in cyclohexanone, respectively. We confirmed the successful preparation of the AEM-1, AEM-2, and AEM-3 via ionic conductivity (S/cm), water uptake (%), contact angle, ion-exchange capacity (meq/g), thermal properties, SEM and XPS analysis, respectively. The electrochemical capacitor experiments using PVC membrane with cross-linked anion-exchange group in organic electrolytes were performed. The prepared AEM-1, AEM-2 AEM-3 have a good stability by charge and discharge performance in organic electrolyte. As a result, the AEM-2 and AEM-3 membrane based on PVC prepared by the solvent casting method after substituent reaction is suitable for the use as a separator in organic electrochemical capacitor (supercapacitor).

A Development of Defeat Prediction Model Using Machine Learning in Polyurethane Foaming Process for Automotive Seat (머신러닝을 활용한 자동차 시트용 폴리우레탄 발포공정의 불량 예측 모델 개발)

  • Choi, Nak-Hun;Oh, Jong-Seok;Ahn, Jong-Rok;Kim, Key-Sun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.6
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    • pp.36-42
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    • 2021
  • With recent developments in the Fourth Industrial Revolution, the manufacturing industry has changed rapidly. Through key aspects of Fourth Industrial Revolution super-connections and super-intelligence, machine learning will be able to make fault predictions during the foam-making process. Polyol and isocyanate are components in polyurethane foam. There has been a lot of research that could affect the characteristics of the products, depending on the specific mixture ratio and temperature. Based on these characteristics, this study collects data from each factor during the foam-making process and applies them to machine learning in order to predict faults. The algorithms used in machine learning are the decision tree, kNN, and an ensemble algorithm, and these algorithms learn from 5,147 cases. Based on 1,000 pieces of data for validation, the learning results show up to 98.5% accuracy using the ensemble algorithm. Therefore, the results confirm the faults of currently produced parts by collecting real-time data from each factor during the foam-making process. Furthermore, control of each of the factors may improve the fault rate.

Comparative analysis of Machine-Learning Based Models for Metal Surface Defect Detection (머신러닝 기반 금속외관 결함 검출 비교 분석)

  • Lee, Se-Hun;Kang, Seong-Hwan;Shin, Yo-Seob;Choi, Oh-Kyu;Kim, Sijong;Kang, Jae-Mo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.6
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    • pp.834-841
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    • 2022
  • Recently, applying artificial intelligence technologies in various fields of production has drawn an upsurge of research interest due to the increase for smart factory and artificial intelligence technologies. A great deal of effort is being made to introduce artificial intelligence algorithms into the defect detection task. Particularly, detection of defects on the surface of metal has a higher level of research interest compared to other materials (wood, plastics, fibers, etc.). In this paper, we compare and analyze the speed and performance of defect classification by combining machine learning techniques (Support Vector Machine, Softmax Regression, Decision Tree) with dimensionality reduction algorithms (Principal Component Analysis, AutoEncoders) and two convolutional neural networks (proposed method, ResNet). To validate and compare the performance and speed of the algorithms, we have adopted two datasets ((i) public dataset, (ii) actual dataset), and on the basis of the results, the most efficient algorithm is determined.

A Study on Updated Object Detection and Extraction of Underground Information (지하정보 변화객체 탐지 및 추출 연구)

  • Kim, Kwangsoo;Lee, Heyung-Sub;Kim, Juwan
    • Journal of Software Assessment and Valuation
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    • v.16 no.2
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    • pp.99-107
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    • 2020
  • An underground integrated map is being built for underground safety management and is being updated periodically. The map update proceeds with the procedure of deleting all previously stored objects and saving newly entered objects. However, even unchanged objects are repeatedly stored, deleted, and stored. That causes the delay of the update time. In this study, in order to shorten the update time of the integrated map, an updated object and an unupdated object are separated, and only updated objects are reflected in the underground integrated map, and a system implementing this technology is described. For the updated object, an object comparison method using the center point of the object is used, and a quad tree is used to improve the search speed. The types of updated objects are classified into addition and deletion using the shape of the object, and change using its attributes. The proposed system consists of update object detection, extraction, conversion, storage, and history management modules. This system has the advantage of being able to update the integrated map about four times faster than the existing method based on the data used in the experiment, and has the advantage that it can be applied to both ground and underground facilities.

Comparison of Regeneration Conditions in Seven Pepper (Capsicum annuum L.) Varieties (7종의 고추(Capsicum annuum L.) 재분화 조건 비교)

  • Min-Su Kim;Yun-Jeong Han;Sharanya Tripathi;Jinwoo Kwak;Jin-Kyung Kwon;Byoung-Cheorl Kang;Jeong-Il Kim
    • Korean Journal of Plant Resources
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    • v.36 no.5
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    • pp.527-539
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    • 2023
  • Pepper (Capsicum annuum L.) is an important vegetable and spice crop that has been cultivated worldwide. Pepper fruits have unique taste and aroma, providing a variety of antioxidants and compounds important for human health, which makes a high economic value. In addition, there is a high demand for new pepper varieties, according to consumer's preference. However, pepper is a recalcitrant plant for in vitro tissue and organ differentiation and plant regeneration, which makes it difficult to develop demanded varieties using newly developed technologies such as genetic engineering and gene editing. In this study, tissue culture and regeneration conditions were investigated using seven pepper varieties that were obtained from the core-collection of Seoul National University. We observed callus and bud induction and shoot formation using several media composition composed of different cytokinins and auxin concentrations. As a result, it was found that there were differences in callus induction and shoot formation of each variety depending on the hormone composition, and the highest regeneration was shown when the medium containing Zeatin Riboside and the petioles of seedlings were used. In particular, out of seven pepper varieties, CMV980 exhibited a higher regeneration efficiency (approximately 48%) than other varieties, followed by Yuwolcho. Therefore, this study provides CMV980 and Yuwolcho as good candidates that can be used for pepper transformation, which might contribute to the development of various varieties through gene editing technology in the future.