• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.1
• /
• pp.725-731
• /
• 2020

This study analyzed the impact of increasing orange imports on the domestic fruit markets, focusing on the period January to May when oranges were imported and sold intensively after implementation of the Korea-US FTA. In this study, only citrus fruits that compete with U.S. oranges were limited to domestic fruits; of these, Hallabong, which is consistent with consumption of U.S. oranges, was selected as an analysis target. A dynamic recursive simulation model was established to evaluate the ex-post effects of the Korea-U.S. FTA, and to conduct mid and long-term forecasts for the Hallabong market. In addition, major policy simulations were performed on the Hallabong market to assess the effect of each scenario. The ex-post impact evaluation reveals that between December and February, Hallabong had no effect on the seasonal tariff of oranges. However, from 2012 to 2017, the actual import decreased by 21.9 billion won annually due to the TRQ, with the accumulated 6-year decrease being 131.5 billion won. Major policy simulation analysis shows that the change in the unit cost of import due to the U.S orange crop and the increase of Hallabong export will help in expanding the market, and thus effectively increase income.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.2
• /
• pp.1524-1532
• /
• 2015

This study analyzed traffic accident characteristics in Chungcheong Region through the factor analysis, cluster analysis and questionnaire survey using traffic accident analysis data for Chungcheong Region in order to improve Korea's traffic safety level. Based on the analysis results, this study suggests traffic safety technologies suitable for the situation of Chungcheong Region. According to the results of the questionnaire survey carried out for transporters in Chungcheong Region, 'the passage of pedestrians and aged people' and 'a problem of lacking visibility' were the biggest threatening factors of major traffic accidents in Chungcheong Region. The facilities required the most were 'lighting equipment in driving at night', and the expected effect by the equipment installation was high. As a result of the factor analysis and cluster analysis using the traffic accident analysis data, traffic accident risk by city type in Chungcheong Region was higher in rural areas, compared to urban areas. Especially, this study confirmed the risks of pedestrian and agricultural machine traffic accidents were high. Therefore, this study suggests three technologies to improve traffic safety level in Chungcheong Region, based on the analysis results.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.15 no.10
• /
• pp.6004-6013
• /
• 2014

The research on resource sharing in the diversification field is concerned mainly with sharing, but there has been little interest in resources. This research examined resource sharing with the main variables and logics of resource-based view. Based on a survey of 263 affiliates of 35 diversified firms, the impacts of resource quantity, resource quality, and resource exploitability on inter-affiliate resource sharing were hypothesized and verified. To confirm the performance implications of resource sharing, the impacts of the combination of resource quantity and resource sharing, the combination of resource quality and resource sharing, and the combination of resource exploitability and resource sharing on the affiliate performance were also hypothesized and verified. According to the empirical results from multiple regression analyses, resource sharing increases in the order of low resource quantity, high resource quality, and high resource exploitability. The performance was advanced in resource sharing under a low resource quantity and resource sharing under high resource exploitability, but it was not advanced in resource sharing under high resource quality. The results highlight the need for a further study on why the resource quality and resource exploitability affect resource sharing in the opposite directions, as expected in the hypotheses, why resource sharing under high resource quality does not lead to high performance, even though resource quality increases resource sharing, and what they would be if resources are subdivided by the types.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.9
• /
• pp.292-301
• /
• 2016

Because damages arising from the occurrence of foot-and-mouth disease (FMD) are very great, it is essential to make a preemptive diagnosis to cope with it in order to minimize those damages. The main symptoms of foot-and-mouth disease are body temperature increase, loss of appetite, formation of blisters in the mouth, on hooves and breasts, etc. in a cow or a bull, among which the body temperature check is the easiest and quickest way to detect the disease. In this paper, an algorithm to detect FMD from the hooves of cattle was developed and implemented for preemptive coping with foot-and-mouth disease, and a hoof check test is conducted after the installation of a high-resolution camera module, a thermo-graphic camera, and a temperature/humidity module in the cattle shed. Through the algorithm and system developed in this study, it is possible to cope with an early-stage situation in which cattle are suspected as suffering from foot-and-mouth disease, creating an optimized growth environment for cattle. In particular, in this study, the system to cope with FMD does not use a portable thermo-graphic camera, but a fixed camera attached to the cattle shed. It does not need additional personnel, has a function to measure the temperature of cattle hooves automatically through an image algorithm, and includes an automated alarm for a smart phone. This system enables the prediction of a possible occurrence of foot-and-mouth disease on a real-time basis, and also enables initial-stage disinfection to be performed to cope with the disease without needing extra personnel.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.9
• /
• pp.570-577
• /
• 2016

The purpose of this study is to investigate the food hygiene and safety awareness of academic and specialized high school students, in order to provide basic materials characterization and demonstrate the need for differentiated food hygiene safety education by type of school in the Chungnam area. This study shows that the academic high school students attach more importance to Food Hygiene and Safety than the specialized high school students, but that the latter think it is easier get information about food safety and are more confident in choosing safe food than the former. Regardless of the type of school, 50.5% and 49.3% of the students believed that the safety of the agricultural and livestock products and processed food distributed for sale in the country is acceptable, respectively. 40.7% and 17.2% of the students answered that school food hygiene safety education is required and strongly required, respectively. Compared to the specialized high school students (average 3.17), the academic high school students (average 2.81) responded that they did not receive sufficient food safety education. Those students who were confident in choosing safe food showed a positive correlation with those who were confident in the hygienic handling of food (r = .662) and with those who have sufficient education on food safety (r = .504). We suggest that different food hygiene safety education is needed by academic and specialized high school students until they have sufficient confidence in the hygienic choosing and handling of food.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.5
• /
• pp.7-14
• /
• 2021

Tomato crops are highly affected by tomato diseases, and if not prevented, a disease can cause severe losses for the agricultural economy. Therefore, there is a need for a system that quickly and accurately diagnoses various tomato diseases. In this paper, we propose a system that classifies nine diseases as well as healthy tomato plants by applying various pretrained deep learning-based CNN models trained on an ImageNet dataset. The tomato leaf image dataset obtained from PlantVillage is provided as input to ResNet, Xception, and DenseNet, which have deep learning-based CNN architectures. The proposed models were constructed by adding a top-level classifier to the basic CNN model, and they were trained by applying a 5-fold cross-validation strategy. All three of the proposed models were trained in two stages: transfer learning (which freezes the layers of the basic CNN model and then trains only the top-level classifiers), and fine-tuned learning (which sets the learning rate to a very small number and trains after unfreezing basic CNN layers). SGD, RMSprop, and Adam were applied as optimization algorithms. The experimental results show that the DenseNet CNN model to which the RMSprop algorithm was applied output the best results, with 98.63% accuracy.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.2
• /
• pp.404-411
• /
• 2019

In this study, the HEC-HMS was applied to determine rainfall-runoff processes for the Gokgyuchun basin. Several sub-basins have large-scale reservoirs for agricultural needs and they store large amounts of initial runoff. Three infiltration methods were implemented to reflect the effect of initial loss by reservoirs: 'SCS-CN'(Scheme I), 'SCS-CN' with simple surface method(Scheme II), and 'Initial and Constant rate'(Scheme III). Modeling processes include incorporating three different methods for loss due to infiltration, Clark's UH model for transformation, exponential recession model for baseflow, and Muskingum model for channel routing. The parameters were calibrated using an optimization technique with trial and error method. Performance measures, such as NSE, RAR, and PBIAS, were adopted to aid in the calibration processes. The model performance for those methods was evaluated at Gangcheong station, which is the outlet of study site. Good accuracy in predicting runoff volume and peak flow, and peak time was obtained using the Scheme II and III, considering the initial loss, whereas Scheme I showed low reliability for storms. Scheme III did not show good matches between observed and simulated values for storms with multi peaks. Conclusively, Scheme II provided better results for both single and multi-peak storms. The results of this study can provide a useful tool for decision makers to determine master plans for regional flood control management.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.1
• /
• pp.52-63
• /
• 2019

Biased performance implications are common in conducting empirical analysis on leading firms in strategic management field. Venture businesses in which successful and failing firms in the future are mixed in the present could provide a better discriminative result for examining the determinants of performance. We suggest hypotheses on how competitive strategy, CEO characteristics, and their interactions affect firm performance. We examine these hypotheses through empirical analyses on the basis of a survey collected from 387 venture businesses in order to assure the validity of strategic management theories by using more deviated data. Empirical results show that innovative differentiation from competitive strategies affects firm performance and innovativeness and long-term orientation from CEO characteristics affect firm performance. According to the results of the interaction analyses between competitive strategies and CEO characteristics, cost-leadership and marketing differentiation strategies have combination effects with risk taking, innovativeness, and long-term orientation, while innovative differentiation strategy has no combination effects with risk taking, innovativeness, and long-term orientation. We conclude that cost-leadership and marketing differentiation strategies have no direct effect on firm performance but have combination effects with CEO characteristics, while innovative differentiation strategy has direct effect on firm performance but has no combination effect. Our primary contribution is that we test and confirm that the fit between competitive strategies and CEO characteristics are an important consideration to increase firm performance in venture businesses.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.12
• /
• pp.523-531
• /
• 2018

The purpose of this paper is to derive priorities and implications for the organic resource conservation policy in the livestock sector. We conducted a survey on the importance-performance of the organic waste resource reclamation of livestock sector using a 5-point Likert scale. The importance average for the resource recycling of livestock organic waste was 3.63 and the average of performance was 3.04. As a result of the IPA on livestock manure recycling measures, it is necessary to improve feed quality, establish a local recycling system, increase demand for compost and liquid, enhance customer linkages, and develop cost reduction technologies. It requires intensive support for promoting the spread of odor reduction technologies and integrated management of biomass. It is necessary to introduce mid- and long-term measures such as the revival of feed in tariff, promote by-product feeding, establish solid fuel process management standards, create hygiene safety standards, develop eco-beads and promotion of feed conversion. It is required to strengthen support for the development of odor reduction technologies and prepare consultative organizations among related departments, develop eco-friendly solid fuel technology, and support policies for renewable energy certification.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.2
• /
• pp.259-266
• /
• 2021

Recently, the financial industry has seen a dramatic change due to the development of innovative technologies such as FinTech, but there is a lack of research on the digital level of financial institution workers. This study analyzes factors that affect the willingness of financial institution workers to accept digital innovation and to examine the relationship between acceptance intention and business performance. Based on the theoretical basis of UTAUT, independent variables were divided into internal expectations, external influences, facilitation conditions, and employment risks. Survey data of 100 bankers at N bank were analyzed using SPSS and AMOS 18. Studies have shown that internal expectations and external influences have positive effects on the acceptance intention of financial institution workers, and that facilitation conditions, employment risks do not. This study found a significant relationship between acceptance intention and business performance and confirming that acceptance intention has a direct and indirect impact on business performance. Study findings could be a reference to enhancing the willingness to accept digital innovation technologies and developing ways to improve business performance by validating factors that affect the willingness of financial institution workers to accept digital innovation.