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A machine learning model for the derivation of major molecular descriptor using candidate drug information of diabetes treatment (당뇨병 치료제 후보약물 정보를 이용한 기계 학습 모델과 주요 분자표현자 도출)

  • Namgoong, Youn;Kim, Chang Ouk;Lee, Chang Joon
    • Journal of the Korea Convergence Society
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    • v.10 no.3
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    • pp.23-30
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    • 2019
  • The purpose of this study is to find out the structure of the substance that affects antidiabetic using the candidate drug information for diabetes treatment. A quantitative structure activity relationship model based on machine learning method was constructed and major molecular descriptors were determined for each experimental data variables from coefficient values using a partial least squares algorithm. The results of the analysis of the molecular access system fingerprint data reflecting the candidate drug structure information were higher than those of the in vitro data analysis in terms of goodness-of-fit, and the major molecular expression factors affecting the antidiabetic effect were also variously derived. If the proposed method is applied to the new drug development environment, it is possible to reduce the cost for conducting candidate screening experiment and to shorten the search time for new drug development.

Development of Appropriate Acid Digestion Method used for the Determination of Total Uranium in Soil by Inductively Coupled Plasma-Mass Spectrometer (ICP-MS) (유도결합플라즈마-질량분석기(ICP-MS)를 이용한 토양의 총 우라늄 정량에 요구되는 적정 산분해 전처리 방법 개발)

  • Shin, Gunhwan;Lee, Goontaek;Kang, Jiyoung;Yoon, Jungki;Kim, Hyunkoo;Noh, Hoejung;Kim, Jiin;Kim, Kyehoon
    • Journal of Soil and Groundwater Environment
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    • v.23 no.6
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    • pp.73-81
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    • 2018
  • Inductively coupled plasma-mass spectrometry (ICP-MS), one of the most commonly used instruments for metal analysis, was used to determine total uranium in soil. The method was named as "Modified ASTM C1345-96". When comparing with ASTM C1345-96, digestion time (2~3 days) was shorten to 7 hours and the treatment in furnace was eliminated. In analyses of 26 field soil samples, there was a significant difference in the average concentration of total uranium between modified ASTM C1345-96 and ASTM C1345-96 (F : 6.22 > Fc : 4.03, significance level : 0.05, n=26). The average concentration of modified ASTM C1345-96 was 1.8 times larger than that of ASTM C1345-96. In addition, modified ASTM C1345-96 was compared with other acid digestion methods for soil including ISO 11466, Modified ISO 11466, US EPA-3051, US EPA-3051A and US EPA-3052 using a certificated reference material (SRM 2711a, NIST) and field soil samples with different level of organic matter content (1.6%, 5.8%, 10.6%). Modified ASTM C1345-96 showed the best accuracy of 93.01% for SRM 2711a. Also, modified ASTM C1345-96 showed the higher extraction rates than other digestion methods by 11~45%.

An algebraic multigrids based prediction of a numerical solution of Poisson-Boltzmann equation for a generation of deep learning samples (딥러닝 샘플 생성을 위한 포아즌-볼츠만 방정식의 대수적 멀티그리드를 사용한 수치 예측)

  • Shin, Kwang-Seong;Jo, Gwanghyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.2
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    • pp.181-186
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    • 2022
  • Poisson-Boltzmann equation (PBE) is used to model problems arising from various disciplinary including bio-pysics and colloid chemistry. Therefore, to predict a numerical solution of PBE is an important issue. The authors proposed deep learning based methods to solve PBE while the computational time to generate finite element method (FEM) solutions were bottlenecks of the algorithms. In this work, we shorten the generation time of FEM solutions in two directions. First, we experimentally find certain penalty parameter in a bilinear form. Second, we applied algebraic multigrids methods to the algebraic system so that condition number is bounded regardless of the meshsize. In conclusion, we have reduced computation times to solve algebraic systems for PBE. We expect that algebraic multigrids methods can be further employed in various disciplinary to generate deep learning samples.

Matching Techniques with Land Cover Image for Improving Accuracy of DEM Generation from IKONOS Imagery (IKONOS 영상을 이용한 DEM 추출의 정확도 향상을 위한 토지피복도 활용 정합기법)

  • Lee, Hyo Seong;Park, Byung Uk;Han, Dong Yeob;Ahn, Ki Weon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.1D
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    • pp.153-160
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    • 2009
  • In relation to digital elevation model(DEM) production using high resolution satellite imagery, existing studies present that DEM accuracy differently show according to land cover property. This study therefore proposes auto-selection method of window size for correlation matching according to land cover property of IKONOS Geo-level stereo image. For this, land cover classified image is obtained by IKONOS color image with four bands. In addition, correlation-coefficients are computed at regular intervals in pixels of the window-search area to shorten of matching time. As the results, DEM by the proposed method showed more accurate than DEM using the fixed window-size matching. We estimate that accuracy of the proposed DEM improved more than DEM by digital map and ERDAS in agricultural land.

A method of assisting small intestine capsule endoscopic lesion examination using artificial neural network (인공신경망을 이용한 소장 캡슐 내시경 병변 검사 보조 방법)

  • Wang, Tae-su;Kim, Minyoung;Jang, Jongwook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.2-5
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    • 2022
  • Human organs in the body have a complex structure, and in particular, the small intestine is about 7m long, so endoscopy is not easy and the risk of endoscopy is high. Currently, the test is performed with a capsule endoscope, and the test time is very long. The doctor connects the removed storage device to the computer to store the patient's capsule endoscope image and reads it using a program, but the capsule endoscope test results in a long image length, which takes a lot of time to read. In addition, in the case of the small intestine, there are many curves due to villi, so the occlusion area or light and shade of the image are clearly visible during the examination, and there may be cases where lesions and abnormal signs are missed during the examination. In this paper, we provide a method of assisting small intestine capsule endoscopic lesion examination using artificial neural networks to shorten the doctor's image reading time and improve diagnostic reliability.

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A Study on the Safety Design Rule Checking System for Automatic Verification of Design Errors (설계오류 자동 검증을 위한 안전 설계 Rule Checking 체계에 관한 연구)

  • Dukhan Kim;Yuho Yang;Youngwoo Chon
    • Journal of the Society of Disaster Information
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    • v.20 no.1
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    • pp.60-68
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    • 2024
  • Purpose: When designing plants and workplaces such as handling and using chemicals, a system that can automatically determine whether the design has been made in compliance with domestic safety management laws is established to shorten the review time and increase accuracy. Method: Safety design standards for chemical handling and use workplaces were investigated, and types and systems were derived that could automatically judge design errors by dividing the articles into semantic units. Result: An automatic design review method performed when designing a building was proposed, and a system that can review the safety design requirements required when designing a chemical handling business site through the development of a rule checker was proposed. After confirming whether the law is subject to application, the safety design rules are classified into semantic units through preprocessing. The classified results can be classified into four types, and the specifications, space, conditions, situations, and specific devices and facilities to reinforce safety were analyzed as representative types. It proposes a system that prepares a diagram for the safety design rule and allows it to be reviewed through the rule checker program.

Studies on Drying Method of the Powder to Utilize Deteriorated Sweet Persimmon (파찌감 이용을 위한 분말화의 건조방법에 관한 연구)

  • 김성규;이용재;권오창;박윤문;김태춘;조영수
    • Food Science and Preservation
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    • v.7 no.4
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    • pp.389-394
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    • 2000
  • To utilize deteriorated sweet persimmon(Diospyros kaki T.) effectively, this study was investigated about the effective (Dying method of the powder. Chemical components, minerals, fatty acids and amino acids of hot-air dried and freeze dried conditions were determined Sample conditions used on analysis as follow; pretreatments of hot-air dry and freeze dry were soft, soft+peel, mixer, mixer+peel. The contents of crude protein, crude lipid, crude ash of hot-air dry were 0.9-1.1%,15.0-39.0% and 2.3-3.3%, respectively. And those of freeze dry were 1.3-2.2%, 27.-49.0% and 2.5%, respectively. Potassium, magnesium, phosphorus, calcium and sodium content in hot-air dry and freeze dry were high. Other minerals were less than 3.00ppm in all conditions. The major fatty acid contents were detected capric acid(C$\^$10:0/), lauric acid(C$\_$l2:0)/, tridecanoic acid(C$\_$13:00/), palmitic acid(C$\_$l6:00/), palmitoleic acid(C$\_$l6:1/), oleic acid(C$\_$18:1), linoleic acid(C$\_$18:2/), linolenic acid(C$\_$18:3/). The essential amino acids such as aspartic acid, threonine, serine, glutamic acid, glycine, alanine, valine, methirmine, isoleucine, leucine, tryosine, phenylalanine, histidine, lysine, arginine in freeze dry were contained richly. On the basis of chemical analysis, hot-air dry method will have to supply the additional different method, because simple hot-air dry method was shorten the dry time but had many problems. Therefore, the effective drying method considering changed color and nutrition was shown freeze dry method.

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Pattern Making Method and Design of Power Shoulder Jackets (파워 숄더 재킷의 디자인 및 패턴전개 방법)

  • Park, Sanghee;Lee, Eunhae
    • The Journal of the Korea Contents Association
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    • v.13 no.7
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    • pp.131-140
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    • 2013
  • Power shoulder look is most noticeable trend in women's wear in the 09/10 season. Specially jackets with sharper angle and wider shoulder became the best item since then, and were chosen for must-have item by fashion directors. Jacket occupied 50% in power shoulder items. Its shoulder angle was from 0 to 30 degree but items with 15 degree stood out among them. There are three methods to make power shoulder look jackets; shoulder extension method with moving shoulder tip up and sleeve cap height, method of extension and cutting sleeve cap with shorten shoulder length, and method of extension and moving shoulder tip up in the sleeve with shoulder line like raglan sleeve. As a result, shoulder angle is higher, starting point of shoulder line is closer to side neck point and shoulder point is extender to outside for appearance and fit. In shoulder extension method, the arm hole line was drawn with care by matching joining shoulder seam and setting the sleeve into the arm hole. In sleeve cap transformation, it is desired that starting point shoulder angle is moved closely to side neck point. In case of the sleeve with shoulder line, it needs to consider enough ease of shoulder and upper arm. For making patterns of power shoulder look jacket, it need to consider arm hole line, shoulder length, shoulder point position, sleeve cap height and sleeve width with interpretation design facts. In this study, through the analysis clothing construction method of power shoulder jacket, it is of help to pattern making for various power shoulder design items.

A Low Density Parity Check Coding using the Weighted Bit-flipping Method (가중치가 부과된 Bit-flipping 기법을 이용한 LDPC 코딩)

  • Joh, Kyung-Hyun;Ra, Keuk-Hwan
    • 전자공학회논문지 IE
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    • v.43 no.4
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    • pp.115-121
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    • 2006
  • In this paper, we proposed about data error check and correction on channel transmission in the communication system. LDPC codes are used for minimizing channel errors by modeling AWGN Channel as a VDSL system. Because LDPC Codes use low density parity bit, mathematical complexity is low and relating processing time becomes shorten. Also the performance of LDPC code is better than that of turbo code in long code word on iterative decoding algorithm. This algorithm is better than conventional algorithms to correct errors, the proposed algorithm assigns weights for errors concerning parity bits. The proposed weighted Bit-flipping algorithm is better than the conventional Bit-flipping algorithm and we are recognized improve gain rate of 1 dB.

Approximate Multi-Objective Optimization of a Quadcopter through Proportional-Integral-Derivative Control (PID 제어를 통한 쿼드콥터 다중목적 근사최적설계)

  • Yoon, Jaehyun;Lee, Jongsoo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.39 no.7
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    • pp.673-679
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    • 2015
  • In this study, the nondominated sorting genetic algorithm (NSGA-II) is used to obtain the optimized proportional-integral-derivative (PID) gain value that can quickly recover the motion of a quadcopter after a disturbance. Prior to PID control, the four-rotor quadcopter interval was defined using computational fluid dynamics (CFD). Through the definition of this model, the PID control algorithm was generated. To construct a response surface model, D-optimal programming was used for the generation of experimental points. For this purpose, a gain value that satisfies both the roll and altitude PID gain values is obtained. Using the NSGA-II, the gain value of shorten time of the quadcopter motion control can be optimized.