• Steel and Composite Structures
• /
• 제34권5호
• /
• pp.681-698
• /
• 2020

The paper addresses contribution to the modeling and optimization of major machinability parameters (cutting force, surface roughness, and tool wear) in finish dry hard turning (FDHT) for machinability evaluation of hardened AISI grade die steel D₃ with PVD-TiN coated (Al₂O₃-TiCN) mixed ceramic tool insert. The turning trials are performed based on Taguchi's L₁₈ orthogonal array design of experiments for the development of regression model as well as adequate model prediction by considering tool approach angle, nose radius, cutting speed, feed rate, and depth of cut as major machining parameters. The models or correlations are developed by employing multiple regression analysis (MRA). In addition, statistical technique (response surface methodology) followed by computational approaches (genetic algorithm and particle swarm optimization) have been employed for multiple response optimization. Thereafter, the effectiveness of proposed three (RSM, GA, PSO) optimization techniques are evaluated by confirmation test and subsequently the best optimization results have been used for estimation of energy consumption which includes savings of carbon footprint towards green machining and for tool life estimation followed by cost analysis to justify the economic feasibility of PVD-TiN coated Al₂O₃+TiCN mixed ceramic tool in FDHT operation. Finally, estimation of energy savings, economic analysis, and sustainability assessment are performed by employing carbon footprint analysis, Gilbert approach, and Pugh matrix, respectively. Novelty aspects, the present work: (i) contributes to practical industrial application of finish hard turning for the shaft and die makers to select the optimum cutting conditions in a range of hardness of 45-60 HRC, (ii) demonstrates the replacement of expensive, time-consuming conventional cylindrical grinding process and proposes the alternative of costlier CBN tool by utilizing ceramic tool in hard turning processes considering technological, economical and ecological aspects, which are helpful and efficient from industrial point of view, (iii) provides environment friendliness, cleaner production for machining of hardened steels, (iv) helps to improve the desirable machinability characteristics, and (v) serves as a knowledge for the development of a common language for sustainable manufacturing in both research field and industrial practice.

• 한국근적외분광분석학회:학술대회논문집
• /
• 한국근적외분광분석학회 2001년도 NIR-2001
• /
• pp.1519-1519
• /
• 2001

The aim of this work was to test the feasibility of NIRS in analysing textural characteristics of “Pasta Filata” cheese during the shelf-life. For this purpose, 128 samples of “Pasta Filata” cheese, subdivided into two sets on the basis of the wax used to avoid mechanical damages (paraffin, biodegradable wax), were analysed by using an InfraAlyzer 500 (Bran+Luebbe). Analyses were performed at room temperature. Samples were cut into small cylinders (D=3.2 cm, height = 1 cm), in agreement with literature information. Data were processed by using Sesame Software (Bran+Luebbe). Samples were analysed, during the shelf-life, at 90 and 120 days. In parallel, textural characteristics were detected carrying out a compression method by using an Universal Testing Machine Instron model 4301 (Instron Corporation, Canton, Massachusetts). As compression probe was used a cylinder (D = 5.8 cm, height = 3.7 cm) and a speed rate of 20mm/min was applied. The load at 20 mm of compression was recorded on sample cylinders of 1.7 cm (D) by 2 cm (height). Qualitative analysis of full spectra showed the possibility to gather samples on the basis of the days of shelf-life. The textural characteristics of cheese during the shelf-life was evaluated by comparing NIRS data with rheological results. The best correlation was obtained applying MLR to the first derivative of normalized absorbance values at seven wavelengths. Load values were plotted against the NIR prediction values based on first derivatives. NIRS proved to be an useful tool in classifying samples on the basis of the shelf-life period as well as in predicting their textural characteristics ($R^2$= 0.916, SEC = 0.192, SEP = 0.248, SEV = 0.345).

• The Plant Pathology Journal
• /
• 제35권2호
• /
• pp.172-177
• /
• 2019

A duplex PCR method was developed for simultaneous detection and identification of tobacco root rot pathogens Phytophthora nicotianae and Thielaviopsis basicola. The specific primers for P. nicotianae were developed based on its internal transcribed spacer (ITS) regions of ribosomal gene, ras gene and hgd gene, while the specific primers for T. basicola were designed based on its ITS regions and ${\beta}$-tubulin gene. The specificity of the primers was determined using isolates of P. nicotianae, T. basicola and control samples. The results showed that the target pathogens could be detected from diseased tobacco plants by a combination of the specific primers. The sensitivity limitation was $100fg/{\mu}l$ of pure genomic DNA of the pathogens. This new assay can be applied to screen out target pathogens rapidly and reliably in one PCR and will be an important tool for the identification and precise early prediction of these two destructive diseases of tobacco.

• 원예과학기술지
• /
• 제29권5호
• /
• pp.461-466
• /
• 2011

유전 육종 연구를 위해 연구자들은 실험 목적에 따라 다양한 종류의 프라이머를 제작해야 한다. 인터넷 상에서 다양한 공용 프로그램이 이용되고 있으나 많은 경우 사용자 편의성이 낮기 때문에 유전자의 구조를 고려하여 프라이머를 디자인하기 위해서는 시간과 노력이 소요된다. 본 연구에서는 엑손과 인트론 지역을 시각적으로 구별하면서 손쉽게 프라이머를 제작할 수 있는 프로그램인 Pickprimer를 개발하였다. 이 프로그램은 공용 프로그램인 Spidey와 Primer3 프로그램의 소스 코드를 결합한 후 그래픽 인터페이스를 추가하여 사용자가 유전자의 구조를 예측하고 이를 바탕으로 프라이머를 손쉽게 제작할 수 있게 했다. 입력 정보는 공용 데이터베이스에서 내려 받은 서열을 복사-붙임하여 이용할 수 있게 하였으며, 유전자의 구조를 그림으로 표현하고 동시에 엑손과 인트론 서열을 구별할 수 있게 했다. 이 프로그램을 이용하여 배추의 단일 카피 유전자에 대한 24 쌍의 프라이머를 디자인하고 6개 고정 품종을 대상으로 PCR과 전기영동 실험을 수행한 결과 제작한 모든 프라이머 쌍이 명확한 단일 밴드를 성공적으로 증폭시켰다. 이 프로그램은 분자표지의 개발뿐만 아니라 유전자 기능 연구 등 다양한 종류의 유전 육종 실험에 유용하게 이용될 수 있을 것으로 기대된다.

• 한국BIM학회 논문집
• /
• 제5권4호
• /
• pp.53-62
• /
• 2015

Korea has been at the forefront of green growth initiatives. In 2008, the government declared the new vision toward 'low-carbon society and green growth'. The government subsidies and Feed-in Tariff (FIT) increased domestic usage of solar power by supplying photovoltaic housing and photovoltaic generation systems. Since 2000, solar power industry has been the world's fastest growing source with the annual growth rate of 52.5%. Especially, BIPV(Building Integrated Photovoltaic) systems are capturing a growing portion of the renewable energy market due to several reasons. BIPV consists of photovoltaic cells and modules integrated into the building envelope such as a roof or facades. By avoiding the cost of conventional materials, the incremental cost of photovoltaics is reduced and its life-cycle cost is improved. When it comes to atypical building, numerous problems occur because PV modules are flat, stationary, and have its orientation determined by building surface. However, previous studies mainly focused on improving installations of solar PV technologies on ground and rooftop photovoltaic array and developing prediction model to estimate the amount of produced electricity. Consequently, this paper discusses the problem during a planning and design stage of BIPV systems and suggests the method to select optimal design of the systems by applying the national strategy and economic policies. Furthermore, the paper aims to develop BIM tool based on the engineering knowledge from experts in order for non-specialists to design photovoltaic generation systems easily.

• 한국항해항만학회:학술대회논문집
• /
• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
• /
• pp.235-240
• /
• 2006

The paper will give an overview of the mission of GalTeC and then concentrate on two main aspects. The first more detailed aspect, is the analysis of the key performance parameters for the Galileo system services and presenting a technical overview of methods and algorithms used. The second more detailed aspect, is the service volume prediction including service dimensioning using the Prediction tool. In order to monitor and validate the Galileo SIS performance for Open Service (OS) and Safety Of Life services (SOL) regarding the key performance parameters, different analyses in the SIS domain and User domain are considered. In the SIS domain, the validation of Signal-in-Space Accuracy SISA and Signal-in-Space Monitoring Accuracy SISMA is performed. For this purpose first of all an independent OD&TS and Integrity determination and processing software is developed to generate the key reference performance parameters named as SISRE (Signal In Space Reference Errors) and related over-bounding statistical information SISRA (Signal In Space Reference Accuracy) based on raw measurements from independent sites (e.g. IGS), Galileo Ground Sensor Stations (GSS) or an own regional monitoring network. Secondly, the differences of orbits and satellite clock corrections between Galileo broadcast ephemeris and the precise reference ephemeris generated by GalTeC will also be compared to check the SIS accuracy. Thirdly, in the user domain, SIS based navigation solution PVT on reference sites using Galileo broadcast ephemeris and the precise ephemeris generated by GalTeC are also used to check key performance parameters. In order to demonstrate the GalTeC performance and the methods mentioned above, the paper presents an initial test result using GPS raw data and GPS broadcast ephemeris. In the tests, some Galileo typical performance parameters are used for GPS system. For example, the maximum URA for one day for one GPS satellite from GPS broadcast ephemeris is used as substitution of SISA to check GPS ephemeris accuracy. Using GalTeC OD&TS and GPS raw data from IGS reference sites, a 10 cm-level of precise orbit determination can be reached. Based on these precise GPS orbits from GalTeC, monitoring and validation of GPS performance can be achieved with a high confidence level. It can be concluded that one of the GalTeC missions is to provide the capability to assess Galileo and general GNSS performance and prediction methods based on a regional and global monitoring networks. Some capability, of which first results are shown in the paper, will be demonstrated further during the planned Galileo IOV phase, the Full Galileo constellation phase and for the different services particularly the Open Services and the Safety Of Life services based on the Galileo Integrity concept.

• Journal of Korean Biological Nursing Science
• /
• 제26권1호
• /
• pp.26-40
• /
• 2024

Purpose: The aim of this study was to predict the subgroups vulnerable to poorer health-related quality of life (HRQoL) according to gender in older adults. Methods: Data from 5,553 Koreans aged 65 or older were extracted from the Korea National Health and Nutrition Examination Survey. HRQoL was assessed using the EQ-5D tool. Complex sample analysis and decision-tree analysis were conducted using SPSS for Windows version 27.0. Results: The mean scores of the EQ-5D index were 0.93 ± 0.00 in men and 0.88 ± 0.00 in women. In men, poorer HRQoL groups were identified with seven different pathways, which were categorized based on participants' characteristics, such as restriction of activity, perceived health status, muscle exercise, age, relative hand grip strength, suicidal ideation, the number of chronic diseases, body mass index, and income status. Restriction of activity was the most significant predictor of poorer HRQoL in elderly men. In women, the poorer HRQoL groups were identified with nine different pathways, which were categorized based on participants' characteristics, such as perceived health status, restriction of activity, age, education, unmet medical service needs, anemia, body mass index, relative hand grip, and aerobic exercise. Perceived health status was the most significant predictor of poorer HRQoL in elderly women. Conclusion: This study presents a predictive model of HRQoL in older adults according to gender and can be used to detect individuals at risk of poorer HRQoL.

• 농업생명과학연구
• /
• 제46권4호
• /
• pp.9-20
• /
• 2012

Eugenol은 많은 식물에서 eugenol synthase에 의해 생합성되는 phenylpropene 계통의 휘발성 화합물이다. 그러나, 토마토 과실에서의 특징은 밝혀져 있지 않다. 이에 따라 토마토 'Micro-Tom'으로부터 RACE 기법을 이용하여 완전장 cDNA를 클로닝 하여, SlEGS라 명명하였다. SlEGS의 open reading frame은 921bp로, 307개의 아미노산 서열을 갖는 단백질로 번역되었다. BLAST 결과에 따라 SlEGS는 PhEGS1 및 CbEGS2와 각 67.1, 69.4%의 높은 상동성을 갖는 것으로 나타났다. CLC genomics workbench 프로그램을 이용하여 SlEGS의 아미노산 구성을 분석하였고, Swiss-PDB viewer 프로그램에서 homology modeling 기법으로 SlEGS의 3차원 단백질 구조를 구축한 후 ProSA-web 툴로 3차원 구조의 안정성을 확인 하였다. 또한 ExPASy의 ProtParam 툴을 이용하여 SlEGS의 생리화학적 특성을 분석 하였다. SlEGS의 추정 분자량은 33.93kDA이고 등전점(pI)은 5.85로 산성인 것으로 나타났다. 이와 더불어 SlEGS의 흡광 계수(EC), 불안정성 지수(II), alipathic 지수(AI), GRAVY값 등의 생리화학적 특성에 대한 분석을 실시 하였다.

• Computers and Concrete
• /
• 제25권1호
• /
• pp.67-73
• /
• 2020

Traditionally used analytical approach to predict the fatigue failure of reinforced concrete (RC) structure is generally conservative and has certain limitations. The nonlinear finite element method (FEM) offers less expensive solution for fatigue analysis with sufficient accuracy. However, the conventional implicit dynamic analysis is very expensive for high level computation. Whereas, an explicit dynamic analysis approach offers a computationally operative modelling to predict true responses of a structural element under periodic loading and might be perfectly matched to accomplish long life fatigue computations. Hence, this study simulates the fatigue behaviour of RC beams with finite element (FE) assemblage presenting a simplified explicit dynamic numerical solution to show computer aided fatigue behaviour of RC beam. A commercial FEM package, ABAQUS has been chosen for this complex modelling. The concrete has been modelled as a 8-node solid element providing competent compression hardening and tension stiffening. The steel reinforcements are simulated as two-node truss elements comprising elasto-plastic stress-strain behaviour. All the possible nonlinearities are duly incorporated. Time domain analysis has been adopted through an automatic Newmark-β time incremental technique. The program consists of twelve RC beams to visualize the real behaviour during fatigue process and to obtain the reliability of the study. Both the numerical and experimental results indicate a redistribution of stresses along the time and damage accumulation of beam which severely affect the serviceability and ultimate capacity of RC beam. The output of the FEM analysis demonstrates good match with the experimental consequences which affirm the efficacy of the computer aided model. The controlled fatigue damage evolution at service fatigue load limits makes the FE model an efficient tool in predicting high cycle fatigue behaviour of RC structures.

• 대한기계학회논문집B
• /
• 제37권4호
• /
• pp.313-322
• /
• 2013

배터리는 최근 여러 분야에서 중요한 에너지원 역할을 하고 있는데, 사용 중 충방전을 거듭하면 용량이 점차 저하되며 초기 대비 80% 이하로 떨어지면 고장으로 간주되므로, 이를 예측하기 위한 수명 예측 기법이 활발히 개발되고 있다. 본 연구에서는 사용중인 배터리에 대해 충전곡선 기울기를 이용하여 배터리의 용량을 평가하고 이를 바탕으로 잔존수명을 예측하는 새로운 방법을 제안하였다. 이 과정에서 발생하는 여러 불확실성을 고려하기 위해 베이지안 접근법에 기반한 파티클 필터 방법을 활용하였고 그 결과 잔존수명을 확률분포로 구하였다. 개발된 방법을 미국 NASA Ames 연구소와 본 연구실에서 직접 수행한 배터리 충방전 시험 데이터에 대해 각각 적용한 결과 충전곡선 기울기가 용량 열화를 잘 나타내며 파티클 필터로 예측된 잔존수명 신뢰구간은 실제 수명을 잘 포함함을 확인할 수 있었다.