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허재필,임상훈,임창규,유경환,Sung Su Whan 한국화학공학회 2023 Korean Journal of Chemical Engineering Vol.40 No.6
The physical meaning of the derivative and the acceleration term of the proportional-integral-derivative-acceleration (PIDA) controller was analyzed, and a new non-interactive form of the PIDA controller is proposed. Also, a new tuning rule for the PIDA controller was developed by combining the physical meaning of the two derivative terms with the previous integral of the time-weighted absolute value of the error (ITAE) tuning rule for the PID controller. The proposed tuning rule, composed of simple explicit algebraic equations, provides excellent performance for various processes without using any optimization methods and iterative computation.
허재필,김신,이현찬,김동현,이지태 한국화학공학회 2020 Korean Journal of Chemical Engineering Vol.37 No.11
The Editor-in-Chief has retracted this article [1] because of significant overlap with a previously published conference paper by the same authors. [2] Jietae Lee agrees with this retraction. Jea Pil Heo, Sin Kim, Hyun Chan Lee and Dong Hyun Kim did not respond to any correspondence about this retraction. [1] Heo, J.P., Kim, S., Lee, H.C. et. al. Korean J. Chem. Eng. (2018). https://doi.org/10.1007/s11814-017-0358-9 [2] Hyun Chan Lee, Sin Kim, Jae Pil Heo, Dong Hyun Kim, Jietae Lee, Wiener Model and Extremum Seeking Control for a CO Preferential Oxidation Reactor with the CuO-CeO2 catalyst, IFAC-PapersOnLine, Volume 48, Issue 8, 2015, Pages 574-579, ISSN 2405-8963, https://doi.org/10.1016/j.ifacol.2015.09.029
단일 계단 응답에 근거한 Wiener형 비선형 공정의 간편한 모델 확인 방법
성수환,임상훈,허재필,이지태,이용제 한국화학공학회 2023 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.61 No.1
The Wiener-type nonlinear model where a static nonlinear block follows a dynamic linear block is widely used to describe the dynamics of chemical processes. A long process excitation step is typically needed to identify this Wiener-type nonlinear model with two blocks. In order to cope with this disadvantage, an identification method for the Wiener-type nonlinear model that uses only a single-step response is proposed here. The proposed method estimates the response of the dynamic linear sub-block from the initial part of the step response, and then the static nonlinear sub-block is identified. Because the only single-step response is used to identify the Wiener-type nonlinear model, there is great benefit in time and cost for obtaining process response. The performance of the proposed identification method with the single-step response is verified through a representative Wiener-type nonlinear process, a pH titration process, and a liquid level system. 동적 선형 블록과 정적 비선형 블록이 직렬로 연결되어 있는 Wiener형 비선형 모델은 여러 화학 공정의 동특성을묘사하는데 널리 사용되는데, Wiener형 비선형 공정의 모델 확인은 다소 긴 공정 활성화 데이터가 필요하다. 본 연구는 이러한 단점을 보완하기 위하여 단일 계단 응답으로부터 Wiener형 비선형 공정 모델을 찾아낼 수 있는 새로운 모델 확인 방법을 제안한다. 제안된 방법은 계단 응답의 초기 응답으로부터 선형 동적 블록의 예측 응답을 얻어 선형 동적 블록의 모델을 확인하고, 이어서 비선형 정적 블록의 모델을 확인한다. 본 방법은 단일 계단 응답만을 사용하여 공정 모델 확인을 위해 필요한 공정 응답을 얻는 과정에서 시간과 비용적으로 큰 이득을 얻을 수 있다. 제안된 공정 확인 방법의 성능은 대표적인 Wiener형 비선형 공정인 pH 적정 공정과 액위 공정을 대상으로 검증되었다.
정의룡,신성철,허재필 한국축산식품학회 2011 한국축산식품학회지 Vol.31 No.4
Biological or physiological genes that regulate metabolism and energy partitioning have the potential to influence economically important traits such as carcass and meat quality traits in beef cattle. The neuropeptide Y (NPY) functions as a central appetite stimulator and plays a major role in feed intake and energy-balance control. Therefore, the NPY gene is an excellent biological and physiological candidate gene for body weight, feeding, fatness or growth related traits in beef cattle. The objective of this study was to identify single nucleotide polymorphisms (SNPs) in the NPY gene and to evaluate the association of NPY SNP markers with carcass and meat quality traits in Korean cattle. The genomic region (711 bp) including intron 2 of NPY gene was amplified and sequenced, and five SNPs, g.4389 Del(C), g.4371Del(C), g.4271T>C,g.1899A>G and g.1517A>C, were identified. The PCR-RFLP method was then developed to genotype the individuals examined. The g.4271T>C SNP was significantly associated with M. Longissimus dori area (LDA) value (p<0.027). Animals with the TT (78.144± 0.950 cm2) genotype had higher LDA than those with the CC (72.266±2.039 cm2), and animals with TC genotype showed intermediate value. This SNP genotype also showed a highly significant additive genetic effect for the LDA (p<0.01). No significant associations, however, was detected between any of the SNP genotype and other carcass traits measured in this study. In conclusion, SNP genotype of the NPY gene may be used as DNA markers to select animals that have a higher meat yield.
정의룡,신성철,허재필 한국축산식품학회 2011 한국축산식품학회지 Vol.31 No.4
It is well established that uncoupling protein 3 (UCP3) is expressed largely in skeletal muscle, white adipose tissue and brown adipose tissue and has been suggested to play important roles in regulating energy expenditure, body weight, thermoregulation as well as fatty acid metabolism and obesity. Therefore, the UCP3 gene was selected as a candidate gene for carcass and meat quality traits in Korean cattle. The objective of this study was to identify single nucleotide polymorphisms (SNPs) in the UCP3 gene and to evaluate the association of UCP3 SNP markers with carcass and meat quality traits in Korean cattle. The five exons in the UCP3 gene were sequenced, and ten SNPs were identified. The PCR-SSCP method was then developed to genotype the individuals examined. The g.3076A>G genotype was significantly associated with marbling score (MS) of Korean cattle. Animals with the AA genotype had a higher MS than those with the AG and GG genotypes. No significant associations of the SNP g.3076A>G were observed for any traits. In conclusion, although SNP g.3076A>G,which showed an association with MS, does not cause amino acid changes, this SNP may be used as a DNA marker to select animals that have higher intramuscular fat content.
택배 화물 파손 분류를 위한 YOLO 및StyleGAN 기반 학습 데이터 증강
김설희,양태훈,허재필,이상덕 한국지능시스템학회 2023 한국지능시스템학회논문지 Vol.33 No.6
택배 화물의 파손은 택배 배송 서비스 품질 저하를 초래하는 주요 요인이며, 택배 화물의 파손 분류를 통해 택배 배송 과정을 추적 및 개선함으로써 택배 서비스 품질 향상이 가능하다. 따라서 택배 화물의 파손 분류와 관련된 다양한 딥러닝 기술의 연구개발이 수행되고 있다. 본 연구는 택배 화물 파손 형태 분류를 위한 적대적 생성 신경망 기반의 학습 데이터셋 구축 방법을 제안한다. 이를 위하여 YOLOv5 기반 택배 화물 탐지를 수행하고 크롭하는 과정을 거쳐, 영상 내 분류 모델 성능 저하 요인를 배제하였다. 또한, ADA 기법을 사용한StyleGAN3 모델을 사용하여 적은 수의 영상으로도 데이터의 다양성을 확보하였다. 제안한방법으로 구축된 데이터셋으로 학습한 택배 화물 파손 형태 분류 모델의 성능을 검증하였으며, 이를 통해 제안한 방법이 택배 서비스 품질 향상에 기여할 수 있음을 확인하였다. Parcel damage is a primary factor contributing to the decline in the quality of parceldelivery services. Implementing the classification of damaged parcels can fosterenhanced service quality by improving the tracking and delivery process. Consequently, a wide range of research efforts are underway in the realm of deeplearning, focusing on the classification of parcel damages. This study introduces amethod to build a training dataset employing adversarial generative neuralnetworks, specifically targeting the classification forms of parcel damages. To thisend, we utilized the YOLOv5 algorithm for object detection, which helps eliminateelements that could potentially diminish the efficacy of the classification modelwithin images. Additionally, we adopted the ADA technique within the StyleGAN3model, ensuring a diverse dataset even with a limited number of images. Weverified the performance of the parcel damage forms classification model trainedwith the dataset built through the proposed method. Through this, we confirmedthat the proposed method can contribute to improve the quality of parcel deliveryservices.