• Korean Journal of Mineralogy and Petrology
• /
• v.35 no.1
• /
• pp.1-12
• /
• 2022

Stone has been used for various purposes, such as for building stones, megaliths, ornamental stones, hunting and grinding throughout history. The global stone production amounted to around 153 million tons in 2018 excluding quarry waste, up 0.8% on year. Of them, stone residues accounted for 71%. The worldwide stone trading decreased 1.5 million tons to 56.5 million tons in 2018. The average price of stone was 34.1 USD per square meter, down 2.5% from the previous year. It's down 7% when only considering trading between the world's top twelve exporters. But in the three leading countries, Italy, Greece and Brazil, the price saw a sharp increase. In 2018, stone imports and exports totaled 815 million square meters, raising over 20 billion USD of revenue. Imports were largely led by six countries: China, Italy, Turkey, India, Brazil, Spain and Portugal, from largest to smallest.) In terms of stone use per 1,000 population, it was 117 square meters in 2001, and it increased to 264 square meters in 2017 and 266 square meters in 2018. The volume more than doubled during the period, but it has been declining slightly in recent years. China, India, Saudi Arabia and Belgium were the only countries that the stone use per 1,000 population exceeded 1,000 square meters. The increase rate was steepest in China, India and the United States, from largest to smallest. The global stone production is likely to grow to 69.85 million tons by 2025, despite the global economic downturn.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.16 no.6
• /
• pp.249-267
• /
• 2021

The use of big data accumulated along with the progress of digitalization is bringing disruptive innovation to the global agricultural industry. Recently, the government is establishing an agricultural big data platform and a support organization. However, in the domestic agricultural industry, the use of big data is insufficient except for some companies in the field of cultivation and growth. In this context, this study identifies factors affecting the intention to use big data in terms of technology, organization and environment, and also confirm the moderating effect of technical field, focusing on agricultural ventures which should be the main entities in creating innovation by using big data. Research data was obtained from 309 agricultural ventures supported by the A+ Center of FACT(Foundation of AgTech Commercialization and Transfer), and was analyzed using IBM SPSS 22.0. As a result, Among technical factors, relative advantage and compatibility were found to have a significant positive (+) effect. Among organizational factors, it was found that management support had a positive (+) effect and cost had a negative (-) effect. Among environmental factors, policy support were found to have a positive (+) effect. As a result of the verification of the moderating effect of technology field, it was found that firms other than cultivation had a moderating effect that alleviated the relationship between all variables other than relative advantage, compatibility, and competitor pressure and the intention to use big data. These results suggest the following implications. First, it is necessary to select a core business that will provide opportunities to generate new profits and improve operational efficiency to agricultural ventures through the use of big data, and to increase collaboration opportunities through policy. Second, it is necessary to provide a big data analysis solution that can overcome the difficulties of analysis due to the characteristics of the agricultural industry. Third, in small organizations such as agricultural ventures, the will of the top management to reorganize the organizational culture should be preceded by a high level of understanding on the use of big data. Fourth, it is important to discover and promote successful cases that can be benchmarked at the level of SMEs and venture companies. Fifth, it will be more effective to divide the priorities of core business and support business by agricultural venture technology sector. Finally, the limitations of this study and follow-up research tasks are presented.

• Journal of The Korean Society of Grassland and Forage Science
• /
• v.41 no.4
• /
• pp.273-279
• /
• 2021

This study was carried out to investigate the effects of a dietary addition of red ginseng marc, mineral^® and black sugar^® on the dry matter intake, daily gain, yield grade and quality grade of Holstein steers(Bos taurus). A total of 32 fattening Holstein steers(avg. BW 590kg) were assigned to four treatments which included a control diet(mixed concentrate and forage; namely, C) and three treatments diet(T1; control diet+red ginseng marc 200g, T2; control diet+red ginseng marc 100g+mineral 50g, T3; control diet+mineral 50g+ black sugar 20g). The results are summarized as follows; the total feed intake and daily feed intake were significantly(p<0.05) higher in T2 and T3 than in the other two treatments(C and T1). The daily gain was higher in T2 than in the other treatments, but there was no significant difference. The back fat thickness, longissimus muscle area and meat yield grade were no significant difference. The marbling score showed significantly(p<0.05) higher in order of T3(4.5) > T1(4.0) > T2(2.7) > C(2.5). The meat color, fat color, texture and maturity were no significant difference. The quality grade was higher in T3 than in the other treatments(C, T1 and T2), but there was no significant difference. T3, which numerically had a higher daily gain and carcass quality grade, showed higher economic efficiency, whereas C showed low economic efficiency. Based on the above results, T3 treatment compared to the other treatments improved the daily gain, carcass quality grade and economic efficiency.

• Journal of the Korean Institute of Traditional Landscape Architecture
• /
• v.40 no.1
• /
• pp.65-73
• /
• 2022

This paper analyzed the characteristics of ancient villages in Hongcun and the method of resetting the preservation area for the preservation of the changed historical and cultural space in Hongcun through the process of change. To this end, the current status of preservation areas and utilization areas in the village was identified through ancient documents, old paintings, policy materials, and interviews related to the village, and through this, the problem of resetting the preservation area was examined. As a result, the following conclusions were drawn. First, Hongcun is a village built under the influence of Confucianism, Buddhism, and Taoism, and the spatial organization was created according to the hierarchy of Confucianism. As a result, it was possible to inherit and preserve the heritage of ancestors even though the central government did not preserve it. Second, the concept of preservation in a limited sense has been applied as Hongcun has been recognized as a cultural heritage that has been passed down since ancient times, but the Great Leap Forward and the Cultural Revolution brought about changes in the village space. Since then, ancient buildings, water systems, and forests have been preserved through regulations on new construction and expansion of a building with the Hongchon preservation plan, but the development within the preservation area is underway due to changes in the lives of original inhabitants, which were followed by continued development pressure and reform and opening. Third, the original inhabitant of ancient villages had a high perception of the value of the heritage, but they demanded the preparation of measures to improve living conditions and create profits, and the active use of villages for this. Fourth, the forest consisting of old trees is being restored, but the gardens in the old house are showing a phenomenon that the garden space is reduced or transformed for use. The bridges and parking lots were newly built in the southern area, which was extended from the western area, the original entrance to the ancient village, resulting in changes in the existing entrance. This was found to be the primary cause of the spatial change of the ancient village, as the road system was modified to make it convenient for tourists to enter and exit. Fifth, the existing preservation area should be reset and preserved by resetting the preservation route centered on Wolso(half Moon Pool), while the surrounding area should be set as a direct and indirect experience space, and according to the hierarchy of each space, the utilization should proceed while the preservation is carried out by crossing the preservation and the utilization.

• Journal of Korea Port Economic Association
• /
• v.37 no.3
• /
• pp.117-128
• /
• 2021

In order for the users (shipping firms and shippers) and suppliers (stevedoring firms) in the container terminal industry to win-win, it is necessary to have some appropriate diverse market conditions for the industry. This study analyses the basic conditions and demand and supply characteristics of the industry and investigates the market performance of Busan container ports. First, this article analyses the basic characteristics of demand and supply. As the demand characteristics, there are five ones such as 1) exogeneity of demand, 2) function as export/import transportation and hub for transshipment, 3) increase of users' bargaining power, 4) high substituting elasticity, 5) reduction of volume growth. As the supply characteristics, there are seven ones such as 1) inelasticity of supply, 2) homogeneity of stevedoring services, 3) over-supply, 4) adoption of cutting-edge stevedoring technology, 5) scale economy and impossibility of storage, 6) labor market rigidity, 7) enhancing port's role in SCM. In addition, this study conducts the so-called structure-conduct-performance analysis. For the structure analysis, 1) lacks of scale economy in stevedoring companies, 2) high entry barrier, 3) strengthening of shipping firms' bargaining power, 4) transitory permission scheme for tariff are analyzed. For the conduct analysis, 1) price discrimination between export/import and transshipment, 2) mid-term length of terminal use contract, 3) continuous investment in equipment, 4) low level of cooperation among terminal operating firms are derived. For the performance analysis, 1) inequality in profitability, 2) reduction of export/import cost, 3) delay in adopting cutting-edge technology, 4) idle equipment are analyzed. Following this logical flow, the hypothesis that the market structure influences the market conduct is tested based on the actual dataset. As a future agenda in the conclusion, this article recommends the so-called port industrial policy.

• Journal of Korea Entertainment Industry Association
• /
• v.14 no.8
• /
• pp.407-426
• /
• 2020

The purpose of this study was to make convergent and combined analysis of the sport industry and exercise rehabilitation in the era of New Normal based on the Fourth Industrial Revolution and devise a comprehensive plan for future activation. For this purpose, literature review was performed mainly by analyzing the environment of the sport industry in the New Normal era based on the Fourth Industrial Revolution and by carrying out convergent and combined analysis of the sport industry to present a convergent and combined activation plan for exercise rehabilitation comprehensively as follows: First, it is necessary to make a strategy of promoting exercise rehabilitation in convergent and combined ways at the sport industry level. This means development of a convergent and combined exercise rehabilitation-tourism-ICT model as well as a convergent and combined exercise rehabilitation-ICT model through collaboration among ministries, including those of health and sports. Second, it is necessary to convert into a convergent and combined way of thinking and extend and reinforce educational competitiveness in the area of exercise rehabilitation. That is, it is necessary to refine the education and training systems for reinforcing personal ICT competence of exercise rehabilitation majors and relevant ones and provide convergent and combined business commencement education. Third, it is necessary to make different types of research and development by applying practical, convergent and combined skills based on the industrial field to exercise rehabilitation and relevant areas. Efforts should be made to overcome any risk in the era of New Normal and support business commencement with convergent and combined skills for exercise rehabilitation. Fourth, it is necessary to make mid- and long-term clusters where exercise rehabilitation and relevant businesses can be accumulated. This means building an industrial hub and complex for exercise rehabilitation and requires making an R&D-based cluster with industrial-academic-governmental collaboration, maximizing the synergy effects with local infrastructures, and fulfilling the function of realizing a spontaneous profit-generating structure.

• Journal of Intelligence and Information Systems
• /
• v.28 no.4
• /
• pp.157-177
• /
• 2022

Investors are trading stocks by keeping a close watch on the order information submitted by domestic and foreign investors in real time through Limit Order Book information, so-called price current provided by securities firms. Will order information released in the Limit Order Book be useful in stock price prediction? This study analyzes whether it is significant as a predictor of future stock price up or down when order imbalances appear as investors' buying and selling orders are concentrated to one side during intra-day trading time. Using classification algorithms, this study improved the prediction accuracy of the order imbalance information on the short-term price up and down trend, that is the closing price up and down of the day. Day trading strategies are proposed using the predicted price trends of the classification algorithms and the trading performances are analyzed through empirical analysis. The 5-minute KOSPI200 Index Futures data were analyzed for 4,564 days from January 19, 2004 to June 30, 2022. The results of the empirical analysis are as follows. First, order imbalance information has a significant impact on the current stock prices. Second, the order imbalance information observed in the early morning has a significant forecasting power on the price trends from the early morning to the market closing time. Third, the Support Vector Machines algorithm showed the highest prediction accuracy on the day's closing price trends using the order imbalance information at 54.1%. Fourth, the order imbalance information measured at an early time of day had higher prediction accuracy than the order imbalance information measured at a later time of day. Fifth, the trading performances of the day trading strategies using the prediction results of the classification algorithms on the price up and down trends were higher than that of the benchmark trading strategy. Sixth, except for the K-Nearest Neighbor algorithm, all investment performances using the classification algorithms showed average higher total profits than that of the benchmark strategy. Seventh, the trading performances using the predictive results of the Logical Regression, Random Forest, Support Vector Machines, and XGBoost algorithms showed higher results than the benchmark strategy in the Sharpe Ratio, which evaluates both profitability and risk. This study has an academic difference from existing studies in that it documented the economic value of the total buy & sell order volume information among the Limit Order Book information. The empirical results of this study are also valuable to the market participants from a trading perspective. In future studies, it is necessary to improve the performance of the trading strategy using more accurate price prediction results by expanding to deep learning models which are actively being studied for predicting stock prices recently.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.27 no.7
• /
• pp.987-994
• /
• 2021

The Yellow sea, as described in article 123 of UNCLOS, is semi-enclosed sea surrounded by the Republic of Korea, the People's Republic of China and North Korea. In addition, the Yellow Sea is one of the 66 large marine ecosystems as it contains large amounts of marine resources. According to article 194 of UNCLOS, states should be aware of rights and duties with respect to the protection and preservation of the marine environment to be engaged with countries directly as regional entity or indirectly. Therefore, the legal blank is urgent in terms of trans-boundary environmental pollutant issues. The UNDP has conducted a project called Yellow Sea Large Marine Ecosystem (YSLME) which has reached the 2^nd phase. The project has some notable achievements, namely performing joint activities on analysis of diagnostic trans-boundary issues in collaboration with China and South Korea, developing a strategic action plan based on TDA, and establishing regional strategic action plan. However, on the other hand, the project could not reflect the full participation of North Korea as a state party. As a result, the project has a limitation on effective implementation of RSAP. Therefore, this study focuses on the suggestion of a legally-binding trilateral treaty as a blue print for the next, 3^rd phase of the project. By analyzing the best practice of the Wadden Sea Trilateral Treaty case, the study verifies the validity of legislative measures on establishing and managing a legally-binding trilateral YSLME Commission. By suggesting a three phase treaty, incorporating a joint declaration by establishing the commission, the signing of the treaty, and formulating an umbrella convention and implementation arrangement, the study expects to guarantee the consistency and sustainability of the trilateral treaty regardless of political issues pertaining to North Korea.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.67 no.4
• /
• pp.199-210
• /
• 2022

This study aimed to develop a cropping system to use limited crop-land with optimum efficiency, while considering management from farmers. To establish the cropping system involving a two-year rotation of three crops, three types of cropping system were evaluated in Suwon (Seogcheon series) and Anseong (Geumcheon series) in the middle plain area using six crops from 2018 to 2019: maize-perilla-onion, potato-sesame-garlic, and maize-sesame-onion. The crop productivity and income of the cropping systems involving food-, oilseed-, and horticultural crops were analyzed, and the optimal cropping system was reviewed. The total yield of each crop was as follows: maize 1,281 kg, potato 4,837 kg, perilla 125 kg, sesame 120 kg, onion 6,503 kg, and garlic 1,027 kg per 10a. However, in terms of gross profit, the potato was more than 3.8 times more profitable than corn, sesame was 1.8 times more profitable than perilla, and garlic was more than 2.8 times more profitable than onions. As a result, in terms of net income, the potato-sesame-garlic cropping system produced the highest income per unit area. Sesame seedlings were planted after the potato harvest, thereby solving the problem of competition between the first and last crops. Overall, this study confirmed that the potato-sesame-garlic cropping system, a two-year rotation of three crops, contributed to the improvement of upland crop productivity and farmers' income and was an overall effective cropping system.

• Journal of Intelligence and Information Systems
• /
• v.29 no.1
• /
• pp.79-105
• /
• 2023

Due to unprecedented extreme weather events such as global warming and climate change, many parts of the world suffer from severe pain, and economic losses are also snowballing. In order to address these problems, 'The Paris Agreement' was signed in 2016, and an intergovernmental consultative body was formed to keep the average temperature rise of the Earth below 1.5℃. Korea also declared 'Carbon Neutrality in 2050' to prevent climate catastrophe. In particular, it was found that the increase in temperature caused by greenhouse gas emissions hurts the environment and society as a whole, as well as the export-dependent economy of Korea. In addition, as the diversification of transportation types is accelerating, the change in means of choice is also increasing. As the development paradigm in the low-growth era changes to urban regeneration, interest in idle railway sites is rising due to reduced demand for routes, improvement of alignment, and relocation of urban railways. Meanwhile, it is possible to partially achieve the solar power generation goal of 'Renewable Energy 3020' by utilizing already developed but idle railway sites and take advantage of being free from environmental damage and resident acceptance issues surrounding the location; but the actual use and plan for these solar power facilities are still lacking. Therefore, in this study, using the big data provided by the Korea National Railway and the Renewable Energy Cloud Platform, we develop an algorithm to discover and analyze suitable idle sites where solar power generation facilities can be installed and identify potentially applicable areas considering conditions desired by users. By searching and deriving these idle but relevant sites, it is intended to devise a plan to save enormous costs for facilities or expansion in the early stages of development. This study uses various cluster analyses to develop an optimal algorithm that can derive solar power plant locations on idle railway sites and, as a result, suggests 202 'actively recommended areas.' These results would help decision-makers make rational decisions from the viewpoint of simultaneously considering the economy and the environment.