• Title/Summary/Keyword: Convergence models

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Growth curve estimates for wither height, hip height, and body length of Hanwoo steers (Bos taurus coreanae)

  • Park, Hu-Rak;Eum, Seung-Hoon;Roh, Seung-Hee;Sun, Du-Won;Seo, Jakyeom;Cho, Seong-Keun;Lee, Jung-Gyu;Kim, Byeong-Woo
    • Korean Journal of Agricultural Science
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    • v.44 no.3
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    • pp.384-391
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    • 2017
  • Growth curves in Hanwoo steers were estimated by Gompertz, Von Bertalanffy, Logistic, and Brody nonlinear models using growth data collected by the Hanwoo Improvement Center from a total of 6,973 Hanwoo (Bos taurus coreanae) steers 6 to 24 months old that were born between 1996 and 2015. The data included three parameters: A, mature size of body measurement; b, growth ratio; and, k, intrinsic growth rate. Nonlinear regression equations for wither height according to Gompertz, Von Bertalanffy, Logistic, and Brody models were $Y_t=144.7e^{-0.5869e^{-0.00301t}}$, $Y_t=145.3(1-0.1816e^{-0.00284t})^3$, $Y_t=143.1(1+0.7356e^{-0.00352t})^{-1}$, and $Y_t=146.8(1+0.4700e^{-0.00249t})^1$, respectively, while those for hip height were $Y_t=144.5e^{-0.5549e^{-0.00312t}}$, $Y_t=145.0(1-0.1724e^{-0.00295t})^3$, $Y_t=143.1(1+0.6863e^{-0.00360t})^{-1}$, and $Y_t=146.2(1+0.4501e^{-0.00263t})^1$, respectively. Equations for body length $Y_t=174.1e^{-0.8342e^{-0.00289t}}$, $Y_t=175.8(1-0.2500e^{-0.00265t})^3$, $Y_t=170.0(1+1.1548e^{-0.00363t})^{-1}$, and $Y_t=180.3(1+0.6077e^{-0.00215t})^1$, respectively, for the same models. Among the four models, the Brody model resulted in the lowest mean square error, with mean square errors of 31.79, 30.57, and 42.13, respectively, for wither height, hip height, and body length. Also, an estimated birth wither height, birth hip height, and birth body length (77.98, 80.57, and 70.97 cm, respectively) were lower in the Brody model than in other models. An inflection point was not observed during the growth phase of Hanwoo steer according to the growth curves calculated using Gompertz, Von Bertalanffy, and Logistic models. Based on the results, we concluded that the regression equation using the Brody model was the most appropriate among the four growth models. To obtain more accurate parameters, however, using data from a wider production period (from birth to shipping) would be required, and the development of a suitable model for body conformation traits would be needed.

WEAK CONVERGENCE OF VARIOUS MODELS TO FRACTIONAL BROWNIAN MOTION

  • Kim, Joo-Mok
    • Korean Journal of Mathematics
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    • v.15 no.1
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    • pp.71-78
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    • 2007
  • We consider arrival process and ON/OFF source model which allows for long packet trains and long inter-train distances. We prove the weak convergence of theses processes to Fractional Brownian motion. Finally, we figure out the coefficients of $B_H(t)$ and time $t$ when ON/OFF periods have the Pareto distribution.

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Selective Encryption Algorithm for 3D Printing Model Based on Clustering and DCT Domain

  • Pham, Giao N.;Kwon, Ki-Ryong;Lee, Eung-Joo;Lee, Suk-Hwan
    • Journal of Computing Science and Engineering
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    • v.11 no.4
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    • pp.152-159
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    • 2017
  • Three-dimensional (3D) printing is applied to many areas of life, but 3D printing models are stolen by pirates and distributed without any permission from the original providers. Moreover, some special models and anti-weapon models in 3D printing must be secured from the unauthorized user. Therefore, 3D printing models must be encrypted before being stored and transmitted to ensure access and to prevent illegal copying. This paper presents a selective encryption algorithm for 3D printing models based on clustering and the frequency domain of discrete cosine transform. All facets are extracted from 3D printing model, divided into groups by the clustering algorithm, and all vertices of facets in each group are transformed to the frequency domain of a discrete cosine transform. The proposed algorithm is based on encrypting the selected coefficients in the frequency domain of discrete cosine transform to generate the encrypted 3D printing model. Experimental results verified that the proposed algorithm is very effective for 3D printing models. The entire 3D printing model is altered after the encryption process. The decrypting error is approximated to be zero. The proposed algorithm provides a better method and more security than previous methods.

Study on Convergence Technique through Structural Analysis on the Axle of Railway Vehicle (철도 차량의 축에 대한 구조 해석을 통한 융합 기술연구)

  • Cho, Jae-Ung
    • Journal of the Korea Convergence Society
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    • v.6 no.1
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    • pp.93-101
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    • 2015
  • As the axle at the vehicle of railway has the important role for safe running, the strength, and impact-proof, safety factor, stress and deformation must be considered. There are the simulation models of 1 and 2 in this study. These models are investigated by performing the convergence technique through the design, the structural and fatigue analyses with CATIA and ANSYS. As the maximum deformation and equivalent stress of model A are lower than those of model B, model A has more durability than model B. The durability to prevent the damage can be investigated by applying the result of this study into the part design of the vehicle of rail road. And it is possible to be grafted onto the convergence technique at design and show the esthetic sense.

A Study for Efficient Behavior of Beam-column Joint Structure Using Material Convergence Section Stage and a Temporary Boundary Condition by Strut (재료 융합 단계와 임시 스트럿의 경계조건을 이용한 기둥-보 강결 구조물의 효율적인 거동 연구)

  • Cho, Jae-Hyeung;Song, Jae-Ho
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.2_2
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    • pp.361-374
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    • 2020
  • Recently, small and medium-sized rahmen-type bridges have been developed as a technology that ensures the stability of structural behavior and the safety of use at the same time by using efficient and economical materials that make up the convergence section of reinforced bar, structural steel and concrete. This study is about a rahmen-type structure applied with the installation and dismantling of the strut. It improves the serviceability of the structure by forming multi-points and efficiently applies the convergence section of structural steel and concrete materials to the structural system changes to induce the displacement improvement effect additionally. By constructing mock-up models for the beam-column joint, the displacement was calculated and compared, and this was compared and analyzed by numerical analysis. The final displacement showed an improvement effect of 13.46% to 36.28% based on the vertical displacement of the existing structure without struts through the experiment of the mock-up models. As a result of analysis by numerical analysis method, the displacement improvement effect of 42.89% could be derived.

A Survey on Open Source based Large Language Models (오픈 소스 기반의 거대 언어 모델 연구 동향: 서베이)

  • Ha-Young Joo;Hyeontaek Oh;Jinhong Yang
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.4
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    • pp.193-202
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    • 2023
  • In recent years, the outstanding performance of large language models (LLMs) trained on extensive datasets has become a hot topic. Since studies on LLMs are available on open-source approaches, the ecosystem is expanding rapidly. Models that are task-specific, lightweight, and high-performing are being actively disseminated using additional training techniques using pre-trained LLMs as foundation models. On the other hand, the performance of LLMs for Korean is subpar because English comprises a significant proportion of the training dataset of existing LLMs. Therefore, research is being carried out on Korean-specific LLMs that allow for further learning with Korean language data. This paper identifies trends of open source based LLMs and introduces research on Korean specific large language models; moreover, the applications and limitations of large language models are described.

An Open Medical Platform to Share Source Code and Various Pre-Trained Weights for Models to Use in Deep Learning Research

  • Sungchul Kim;Sungman Cho;Kyungjin Cho;Jiyeon Seo;Yujin Nam;Jooyoung Park;Kyuri Kim;Daeun Kim;Jeongeun Hwang;Jihye Yun;Miso Jang;Hyunna Lee;Namkug Kim
    • Korean Journal of Radiology
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    • v.22 no.12
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    • pp.2073-2081
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    • 2021
  • Deep learning-based applications have great potential to enhance the quality of medical services. The power of deep learning depends on open databases and innovation. Radiologists can act as important mediators between deep learning and medicine by simultaneously playing pioneering and gatekeeping roles. The application of deep learning technology in medicine is sometimes restricted by ethical or legal issues, including patient privacy and confidentiality, data ownership, and limitations in patient agreement. In this paper, we present an open platform, MI2RLNet, for sharing source code and various pre-trained weights for models to use in downstream tasks, including education, application, and transfer learning, to encourage deep learning research in radiology. In addition, we describe how to use this open platform in the GitHub environment. Our source code and models may contribute to further deep learning research in radiology, which may facilitate applications in medicine and healthcare, especially in medical imaging, in the near future. All code is available at https://github.com/mi2rl/MI2RLNet.

Convergence Study on Durability due to the Configuration of Front Under Cover of Off-road SUV (오프로드용 SUV의 프론트 언더커버 형상에 따른 내구성에 대한 융합 연구)

  • Choi, Gye-Gwang;Cho, Jae-Ung
    • Journal of the Korea Convergence Society
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    • v.10 no.7
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    • pp.149-154
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    • 2019
  • This paper is to study the durability through structural analysis on the front undercover of SUV car for offroad. It was investigated which model became structurally best by analyzing three kinds of models which are similar to the configuration of undercover for the protection of the part under car body which has been used really. The models of undercover were designed through CATIA program and analyzed by using ANSYS program as three kinds of models A, B and C. Through the analysis results, model B was expressed to have the best durability as model B has the least equivalent stress and the longest fatigue life among three models. As the design data with the durability of undercover obtained on the basis of this study result are utilized, the esthetic sense can be shown by being grafted onto the machine or structure at real life.

A Convergence Study by Structural Analysis on Torsion Beam Suspension of Rear Wheel (후륜 토션빔 서스펜션에 대한 구조해석에 의한 융합연구)

  • Choi, Gye-Gwang;Cho, Jae-Ung
    • Journal of the Korea Convergence Society
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    • v.10 no.9
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    • pp.187-192
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    • 2019
  • In this study, the structural and fatigue analyses were carried out according to the configuration of rear wheel suspension of torsion beam. Three types of models similar to the actual torsional beam suspension are analyzed and we will find out which one is best on strength. The models of torsion beam suspension were designed in three types of models A, B and C through CATIA program and the results of structural and fatigue analyses were obtained by using the ANSYS program. We will confirm which model is better structurally than other models. According to the analysis results, the deformation happens to be the largest in the middle, and model B has the least deformation compared to model A and C. Similarly, model B is shown to have the smallest result at equivalent stress. So, model B is judged to be the best in terms of its strength, and it is thought to be the most efficient to converge into art design at the suspension design with a torsion beam of rear wheel.

Geoacoustic Model of Coastal Bottom Strata off the Northwestern Taean Peninsula in the Yellow Sea

  • Ryang, Woo-Hun;Kwon, Hyuckjong;Choi, Jee-Woong;Kim, Kyong-O;Hahn, Jooyoung
    • Journal of the Korean earth science society
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    • v.40 no.4
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    • pp.428-435
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    • 2019
  • In the shallow coastal area, located off the northwestern Taean Peninsula of the eastern Yellow Sea, geoacoustic models with two layers were reconstructed for underwater acoustic experimentation and modeling. The Yellow Sea experienced glacio-eustasy sea-level fluctuations during Quaternary period. Coastal sedimentation in the Yellow Sea was characterized by alternating terrestrial and shallow marine deposits that reflected the fluctuating sea levels. The coastal geoacoustic models were based on data from piston, grab cores and the high-resolution 3.5 kHz, chirp seismic profiles (about 70 line-kilometers, respectively). Geoacoustic data of the cores were extrapolated down to 3 m in depth for geoacoustic models. The geoacoustic property of seafloor sediments is considered a key parameter for modeling underwater acoustic environments. For simulating actual underwater environments, the P-wave speed of the models was adjusted to in-situ depth below the sea floor using the Hamilton method. The proposed geoacoustic models could be used for submarine acoustic inversion and modeling in shallow-water environments of the study area.