• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.4
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• pp.60-66
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• 2016

Compound logistics is a service aimed to enhance logistics efficiency by supporting that shippers and consigners jointly use logistics facilities. Many of these services have taken place both domestically and internationally, but the joint logistics services for e-commerce have not been spread yet, since the number of the parcels that the consigners transact business is usually small. As one of meaningful ways to improve utilization of compound logistics, we propose a brokerage service for shipper and consigners based on the hybrid recommendation system using very well-known classification and clustering methods. The existing recommendation system has drawn a relatively low satisfaction as it brought about one-to-one matches between consignors and logistics vendors in that such matching constrains choice range of the users to one-to-one matching each other. However, the implemented hybrid recommendation system based brokerage agent service system can provide multiple choice options to mutual users with descending ranks, which is a result of the recommendation considering transaction preferences of the users. In addition, we applied feature selection methods in order to avoid inducing a meaningless large size recommendation model and reduce a simple model. Finally, we implemented the hybrid recommendation system based brokerage agent service system that shippers and consigners can join, which is the system having capability previously described functions such as feature selection and recommendation. As a result, it turns out that the proposed hybrid recommendation based brokerage service system showed the enhanced efficiency with respect to logistics management, compared to the existing one by reporting two round simulation results.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.3
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• pp.273-283
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• 2014

Imported and exported agricultural products are facing a very difficult time due to the rising distribution costs spurred by the increasing labor and oil prices. High empty transfer rates, which take place on a return route after the regular transportation of imported and exported agricultural products, are especially a major cause of the rising distribution costs. In an effort to overcome those limitations, this study set out to examine the transportation stages connecting harbor warehouses, processing plants, and central distribution centers on the circulation route of such imported grains as wheat, barley, corn, and soybean and the transportation route from the warehouses devoted to exported agricultural products to harbors for such exported agricultural products as apple, pear, and persimmon in order to develop a model on the creation of a compound logistics complex for processing plants and transshipment of imported and exported agricultural products. The study also promoted the logistic rationalization of imported and exported agricultural products by creating a compound logistics complex that would combine processing plants for imported agricultural products and transshipment functions for exported agricultural products.

• Journal of the Korean Operations Research and Management Science Society
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• v.24 no.3
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• pp.109-123
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• 1999

Fleet sizing and empty equipment redistribution are two of the most critical problems in managing a fleet of equipment over a transportation network. Where the demand pattern followed the compound Poisson process(CPP) which can be generated one or more at a time under homogeneous Poisson process(HPP), this paper presented a mathematical model to determine control parameters of a decentralized distribution policy and fleet size in case of the pure hub-and-spoke system, a popular form of a logistics system. and validated this model by simulation. That is, where the number of demanded equipments followed geometric and binomial distributions, respectively, cost models on the pure hub-and-spoke logistics system with deterministic trans-portation times, which could be solved analytically, were established and analyzed. We also compared the deterministic case with stochastic one that the transportation time follows some probability distributions.

• Proceedings of the KIEE Conference
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• 2005.07c
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• pp.1890-1892
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• 2005

Recently, high luminance and high efficiency were realized in OLEDs with multilayer structure including emitting materials such as metal-chelate complexes. New luminescent materials, [2- (2-hydroxyphenyl)-quinoline] (Zn(HPB)q), [(1,10-phenanthroline)- (8-hydroxyquinoline)] Zn(Phen)q was synthesized. Zn-Complexes have low molecular compound and thermal stability. The ionization potential(IP) and electron affinity(EA) of Zn-complexes were measured by cyclic-voltammetry(CV). The fundamental structure of the OLEDs was $ITO/{\alpha}$-NPD/Zn-Complex/Al and then we made device structure rightly in energy band gap. We using Zn(Phen)q as emitting layer and Zn(HPB)q as electron transport layer. We measured current density-voltage, luminance-voltage characteristics.

• Journal of Digital Convergence
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• v.18 no.5
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• pp.169-178
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• 2020

The selection of a third-party logistics (3PL) provider is a critical process for shippers who want to receive competitive logistics service. However, studies analyzing the factors that influence the selection of 3PL provider from the viewpoint of shippers are insufficient. The present study aims to derive factors to be considered when selecting a 3PL provider by domestic shippers and to present the weights of each factor. The analysis results showed that among the major factors, the "operation factor" showed the highest importance, followed by "strategic factor", and "communication factor". The results of compound weights showed that "cost reduction" is the most important factor, followed by the "expertise of the provider", "inventory management ability", and "human resources management". The present study proposed the core factors that should be considered when selecting a 3PL provider from the shipper's viewpoint. This study also has an industrial implication from the viewpoint of 3PL providers because it provides the basic data for enhancing the shipper's satisfaction by reinforcing the factors that are considered important in by shippers. In future research, it is necessary to classify shippers by industry and analyze the differences in the factors that arise in selecting 3PL companies for each industry.

• Molecules and Cells
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• v.46 no.6
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• pp.387-398
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• 2023

Microtubule acetylation has been proposed as a marker of highly heterogeneous and aggressive triple-negative breast cancer (TNBC). The novel microtubule acetylation inhibitors GM-90257 and GM-90631 (GM compounds) cause TNBC cancer cell death but the underlying mechanisms are currently unknown. In this study, we demonstrated that GM compounds function as anti-TNBC agents through activation of the JNK/AP-1 pathway. RNA-seq and biochemical analyses of GM compound-treated cells revealed that c-Jun N-terminal kinase (JNK) and members of its downstream signaling pathway are potential targets for GM compounds. Mechanistically, JNK activation by GM compounds induced an increase in c-Jun phosphorylation and c-Fos protein levels, thereby activating the activator protein-1 (AP-1) transcription factor. Notably, direct suppression of JNK with a pharmacological inhibitor alleviated Bcl2 reduction and cell death caused by GM compounds. TNBC cell death and mitotic arrest were induced by GM compounds through AP-1 activation in vitro. These results were reproduced in vivo, validating the significance of microtubule acetylation/JNK/AP-1 axis activation in the anti-cancer activity of GM compounds. Moreover, GM compounds significantly attenuated tumor growth, metastasis, and cancer-related death in mice, demonstrating strong potential as therapeutic agents for TNBC.

• Journal of Navigation and Port Research
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• v.44 no.2
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• pp.88-97
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• 2020

In the past 20 years, passenger and cargo transportation performance at the international passenger ports in Korea have increased by 8.6% on the compound annual growth rate, respectively. The Korean government had expected to continue expanding the market of car ferries and the government included plans for the development of additional routes and lanes with neighboring countries such as China, J apan, and Russia as a part of the Plan of the Korean Ministry of Oceans and Fisheries in 2019. However, compared to the development of routes, the management and operation of passenger terminals are inefficient. The purpose of this paper was to introduce the overall improvement of the passenger terminal operating system that reflects the recent changes in the supply and demand of international passenger vessels and the needs of the government and private sector passengers. To this end, a basic survey was conducted on the status of operations and facilities at the Busan International P assenger Terminal and a questionnaire survey was administered on the subject of use. The results of the survey were analyzed using the IPA model. As a result of the analysis, three items in the operation sector, three items in the facility sector, and four items in the system sector of the Busan International Passenger Terminal were identified as in need of improvement. Based on the results, the need for investment to improve the international passenger terminal operating system is suggested.

• Food Science and Preservation
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• v.13 no.2
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• pp.180-185
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• 2006

Prunus mume has been used as a Korean medicine. It is effective in treating diarrhea and an abdominal pain. This experiment was carried out to optimize extraction conditions of prunus mume flower tea and to analyze volatile compounds. Three kinds of samples treated with fresh, freeze dry, and shade dry, were used, and prunus mum flower tea was manufactured by the mixed ratio of green tea and prunus mume flower. The result was valued by the Hunter's value, flavor and taste. The optimum conditions of extraction time and temperature were 3 min and $80^{\circ}C$ respectively. Sensory evaluation shows that optimum ratio was adaptive 90% green tea with 10% prunus mume flower. The major volatile compound in prunus mume flower was benzaldehyde.

• Journal of the Korea Society of Computer and Information
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• v.27 no.11
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• pp.147-155
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• 2022

In this study, we developed a system to dynamically balance a daily stock portfolio and performed trading simulations using gradient boosting and genetic algorithms. We collected various stock market data from stocks listed on the KOSPI and KOSDAQ markets, including investor-specific transaction data. Subsequently, we indexed the data as a preprocessing step, and used feature engineering to modify and generate variables for training. First, we experimentally compared the performance of three popular gradient boosting algorithms in terms of accuracy, precision, recall, and F1-score, including XGBoost, LightGBM, and CatBoost. Based on the results, in a second experiment, we used a LightGBM model trained on the collected data along with genetic algorithms to predict and select stocks with a high daily probability of profit. We also conducted simulations of trading during the period of the testing data to analyze the performance of the proposed approach compared with the KOSPI and KOSDAQ indices in terms of the CAGR (Compound Annual Growth Rate), MDD (Maximum Draw Down), Sharpe ratio, and volatility. The results showed that the proposed strategies outperformed those employed by the Korean stock market in terms of all performance metrics. Moreover, our proposed LightGBM model with a genetic algorithm exhibited competitive performance in predicting stock price movements.