• Title/Summary/Keyword: HS model

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An Analysis of Factors Influencing on Chinese Agricultural Exports to Korea (중국 농수산품의 대(對)한국 수출 영향요인 분석)

  • Ji-Eun Pyeon;Eun-Young Nam
    • Korea Trade Review
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    • v.47 no.5
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    • pp.39-57
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    • 2022
  • This study aims to analyze the factors influencing exports of agricultural products(HS01~HS24) from China to Korea by estimating the gravity model with panel data from 31 provinces in China. The results of the empirical analysis from the panel Tobit model are as follows: The effects of GDP and GDP per capita on agricultural exports are reversed, but their impacts are different on exports of each product, notably HS03, HS07 and HS20. As expected, distance decreases Chinese agricultural exports, and the impact of the relative exchange rate variable is also statistically significant, although it differs from product to product. However, differences in latitude, which considers the heterogeneity of climate and agricultural production conditions between Korea and each Chinese region, does not seem to affect agricultural exports to Korea. The road length, which affects the logistical conditions of each province in China, is not statistically significant either. On the other hand, increases in the number of Chinese visitors to Korea raises the amount of Chinese agricultural exports, including exports of HS03 and HS20. The results also shows that after the Korea-China FTA agreements, agricultural exports have actually decreased, especially exports of non-processed agricultural products, such as HS07.

Influence of soil model complexity on the seismic response of shallow foundations

  • Alzabeebee, Saif
    • Geomechanics and Engineering
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    • v.24 no.2
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    • pp.193-203
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    • 2021
  • The time-history finite element analysis is usually used to evaluate the seismic response of shallow foundations. However, the literature lacks studies on the influence of the soil constitutive model complexity on the seismic response of shallow foundations. This study, thus, aims to fill this gap by investigating the seismic response of shallow foundation resting on dry silica sand using the linear elastic (LE) model, elastic-perfectly-plastic (EPP) model, and hardening soil with small strain stiffness (HS small) model. These models have been used because it is intended to compare the results of a soil constitutive model that accurately captures the seismic response of the soil-structure interaction problems (which is the HS small model) with simpler models (the LE and EPP models) that are routinely used by practitioners in geotechnical designs. The results showed that the LE model produces a very small seismic settlement value which is approximately equal to zero. The EPP model predicts a seismic settlement higher than that produced using the HS small model for earthquakes with a peak ground acceleration (PGA) lower than 0.25 g for a relative density of 45% and 0.40 g for a relative density of 70%. However, the HS small model predicts a seismic settlement higher than the EPP model beyond the aforementioned PGA values with the difference between both models increases as the PGA rises. The results also showed that the LE and EPP models predict similar trend and magnitude of the acceleration-time relationship directly below the foundation, which was different than that predicted using the HS small model. The results reported in this paper provide a useful benchmark for future numerical studies on the response of shallow foundations subjected to seismic shake.

Identification of First-order Plus Dead Time Model from Step Response Using HS Algorithm (HS 알고리즘을 이용한 계단응답으로부터 FOPDT 모델 인식)

  • Lee, Tae-Bong
    • Journal of Advanced Navigation Technology
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    • v.19 no.6
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    • pp.636-642
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    • 2015
  • This paper presents an application of heuristic harmony search (HS) optimization algorithm for the identification of linear continuous time-delay system from step response. Identification model is first-order plus dead time (FOPDT), which describes a linear monotonic process quite well in most chemical processes and HAVC process and is often sufficient for PID controller tuning. This recently developed HS algorithm is conceptualized using the musical process of searching for a perfect state of harmony. It uses a stochastic random search instead of a gradient search so that derivative information is unnecessary. The effectiveness of the identification method has been demonstrated through a number of simulation examples.

CNN-based Recommendation Model for Classifying HS Code (HS 코드 분류를 위한 CNN 기반의 추천 모델 개발)

  • Lee, Dongju;Kim, Gunwoo;Choi, Keunho
    • Management & Information Systems Review
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    • v.39 no.3
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    • pp.1-16
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    • 2020
  • The current tariff return system requires tax officials to calculate tax amount by themselves and pay the tax amount on their own responsibility. In other words, in principle, the duty and responsibility of reporting payment system are imposed only on the taxee who is required to calculate and pay the tax accurately. In case the tax payment system fails to fulfill the duty and responsibility, the additional tax is imposed on the taxee by collecting the tax shortfall and imposing the tax deduction on For this reason, item classifications, together with tariff assessments, are the most difficult and could pose a significant risk to entities if they are misclassified. For this reason, import reports are consigned to customs officials, who are customs experts, while paying a substantial fee. The purpose of this study is to classify HS items to be reported upon import declaration and to indicate HS codes to be recorded on import declaration. HS items were classified using the attached image in the case of item classification based on the case of the classification of items by the Korea Customs Service for classification of HS items. For image classification, CNN was used as a deep learning algorithm commonly used for image recognition and Vgg16, Vgg19, ResNet50 and Inception-V3 models were used among CNN models. To improve classification accuracy, two datasets were created. Dataset1 selected five types with the most HS code images, and Dataset2 was tested by dividing them into five types with 87 Chapter, the most among HS code 2 units. The classification accuracy was highest when HS item classification was performed by learning with dual database2, the corresponding model was Inception-V3, and the ResNet50 had the lowest classification accuracy. The study identified the possibility of HS item classification based on the first item image registered in the item classification determination case, and the second point of this study is that HS item classification, which has not been attempted before, was attempted through the CNN model.

Serial Flow Microwave Thermal Process System for Liquid Foods

  • Kim, Young-Jin;Lim, Seok-Won;Chun, Jae-Kun
    • Food Science and Biotechnology
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    • v.14 no.4
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    • pp.446-449
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    • 2005
  • Two single-magnetron heating systems (SM-HS), each with a helical glass heat exchanger and a cylindrical cavity, were combined to make a two-magnetron-in-series heating system (2MS-HS) in order to increase the heating capacity. A comparison using water showed that the heating performance of the 2MS-HS was increased by two-fold as compared to that of the SM-HS, resulting in energy saving of 7.0% in 2MS-HS. Pasteurization test of 2MS-HS conducted with model food (LB broth contaminated with Bacillus subtilis) showed two-fold higher treatment capacity compared to SM-HS. Relationships between outlet temperature of the processed food, flow rate, and residence time in the 2MS-HS were established for water. Optimum pasteurization capacity was 17 s, $73^{\circ}C$, at flow rate of 280 ml/min. The 2MS-HS could be applied to the small-scale pasteurization of liquid food.

Estimating Peak Runoff from Small Ungauged Watersheds Using SCS TR-20 Model (SCS TR-20 모형을 이용한 미계측 소유역의 홍수유출량 추정)

  • 김철겸;박승우;박창언
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 1998.10a
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    • pp.370-375
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    • 1998
  • The objectives of this study are to evaluate the applicability of SCS TR-20 model for small ungauged watershed, to show the behavior of the model with variation of topography in watershed, and to evaluate the storage effect of paddy field for flood flow. For this purpose, simulated data from the model were compared with the observed flood data at two sites (HS#3, HS#4) in Balan watershed. From the comparison between simulated and observed data, it was found that the model is applicable to this watershed.

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Scaled and unscaled ground motion sets for uni-directional and bi-directional dynamic analysis

  • Kayhan, Ali Haydar
    • Earthquakes and Structures
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    • v.10 no.3
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    • pp.563-588
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    • 2016
  • In this study, solution models are proposed to obtain code-compatible ground motion record sets which can be used for both uni-directional and bi-directional dynamic analyses. Besides scaled, unscaled ground motion record sets are obtained to show the utility and efficiency of the solution models. For scaled ground motion sets the proposed model is based on hybrid HS-Solver which integrates heuristic harmony search (HS) algorithm with the spreadsheet Solver add-in. For unscaled ground motion sets HS based solution model is proposed. Design spectra defined in Eurocode-8 for different soil types are selected as target spectra. The European Strong Motion Database is used to get ground motion record sets. Also, a sensitivity analysis is conducted to evaluate the effect of different HS solution parameters on the solution accuracy. Results show that the proposed solution models can be regarded as efficient ways to develop scaled and unscaled ground motion sets compatible with code-based design spectra.

Impact of International regulatory collaboration on Pharmaceutical trade (국가 간 의약품 규제 협력이 의약품 무역에 미치는 영향)

  • Jaeyoun Roh;Iyn-Hyang Lee
    • Korea Trade Review
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    • v.47 no.5
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    • pp.95-113
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    • 2022
  • Tariffs on pharmaceuticals are generally low, but the time-consuming and costly licensing procedures of importing countries may act as barriers to trade. Accordingly, in terms of improving export competitiveness through cost reduction of exporting countries and improving public health for importing countries, international regulatory collaboration is effective for both countries. However, little is known about the impact of cross-border cooperation in pharmaceutical regulation on international trade. This study empirically analyzed the effect of cross-border regulatory collaboration on pharmaceutical trade using the gravity model. It was confirmed that the regulatory collaboration measures had a trade promotion effect in all drugs(HS29+HS30), finished drugs (HS30), and vaccines (HS300220). This study is meaningful in that it empirically analyzed with the consideration of the reference pharmacopoeia, safety and effectiveness in addition to the GMP inspection used in the previous study.

The Development and Application of Teaching Programs about Molecular Genetics Based on the HS-CPS Model for Gifted Students (영재 학생들을 위한 과학사-CPS 수업 모형을 활용한 분자생물 영역 수업 프로그램의 개발 및 적용)

  • Lee, Ju-Hyun;Lee, Mi-Sook;Ju, Hee-Young;Lee, Kil-Jae
    • Journal of Science Education
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    • v.35 no.2
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    • pp.262-273
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    • 2011
  • This research was aimed to develop and apply the molecular genetics teaching program based on the history of science and creative problem solving model (HS-CPS model) for gifted students. Based on the strategies of creative problem solving and scientific theory development, the HS-CPS teaching program were developed. This program was applied to 8 first and second graders of the special class for invention activity in a high school. Creative problem solving ability in science and the understanding of DNA and gene concept were tested in pre and post of 12 lessons. The results were as follows: First, creative problem solving ability in science was improved meaningfully. Second, HS-CPS teaching program was effective in the understanding of DNA and gene concepts. Third, the students responded positively to the program evaluation questionnaire.

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A Study on Seismic Performance Evaluation of Tunnel to Considering Material Nonlinearity (재료의 비선형성을 고려한 터널의 내진성능평가에 관한 연구)

  • Choi, Byoungil;Ha, Myungho;Noh, Euncheol;Park, Sihyun;Kang, Gichun
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.26 no.3
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    • pp.92-102
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    • 2022
  • Various numerical analysis models can be used to evaluate the behavior characteristics of tunnel facilities which are representative underground structures. In general, the Mohr-Coulomb model, which is most often used for numerical analysis, is an elastic-perfect plastic behavior model. And the deformation characteristics are the same during the load increase-load reduction phase. So there is a problem that the displacement may appear different from the field situation in the case of excavation analysis. In contrast, the HS-small strain stability model has a wide range of applications for each ground. And it is known that soil deformation characteristics can be analyzed according to field conditions by enabling input of initial elastic modulus and nonlinear curve parameter and so on. However, civil engineers are having difficulty using nonlinear models that can apply material nonlinear properties due to difficulties in estimating ground property coefficients. In this study, the necessity of rational model selection was reviewed by comparing the results of seismic performance evaluation using the Mohr-Coulomb model, which civil engineers generally apply for numerical analysis of tunnels, and the HS Small strain Stiffness model, which can consider ground nonlinearity.