• Journal of The Korean Society of Grassland and Forage Science
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• v.39 no.2
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• pp.61-67
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• 2019

This study was conducted to investigate the effect of supplementary feeding levels on livestck and forage productivity and grazing intensity in Elk stags (Cervus canadensis). A fifteen 2-year-old Elk stags about 195 kg were randomly assigned to one of three dietary treatments (five animals per treatment). The dietary treatments consisted of a feeding concentrate of 1.0% of body weight (T1), 1.5% of body weight (T2) and 2.0% of body weight. Total dry matter intake (TDMI) was increased with increased with an increasing supplementary feeding levels. Average daily gain (ADG) were significantly increased with an increasing supplementary feeding levels (p<0.05) and reached a maximum on July and was lower in spring than autumn. The velvet antler production was no differences among treatment groups. Forage productivity of pasture and crude protein content were highest on May and decreased thereafter, however, crude fiber content was the reversed. The grazing intensity of Elk stags was increased in spring (38 to 59 head per ha) than summer and autumn (13 to 32 head per ha). The average grazing intensity of Elk stags ranged from 21 to 34 head per ha, which is affected by supplementary feeding levels. This result suggests that feeding supplementary diet at 1.5 % of body weight was needed to maintain the stable wight gain in antler growing periods and control the proper grazing intensity of Elk deer stags.

• Korean Journal of Construction Engineering and Management
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• v.20 no.4
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• pp.22-33
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• 2019

The government has steadily revised and developed laws and systems for activating remodeling of apartments in response to the problems of aged apartments. However, despite such efforts, remodeling has yet to be activated. For many reasons, this study noted that there were no tools for reasonable profitability judgements and decision making in the preliminary stages of the remodeling project. Thus, the feasibility evaluation model was developed. Generally, the profitability judgements are made after the conceptual design. However, decisions to drive remodeling projects are made at the preliminary stage. So a feasibility evaluation model is required at the preliminary stage. Accordingly, In this study, a feasibility evaluation model was developed for determining preliminary stage profitability. Construction costs, business expenses, financial expenses, and generally sales revenue were calculated using the initial available information and remodeling variables derived through the existing cases. Through this process, we developed an algorithm that can give an overview of the return on investment. In addition, the preliminary stage feasibility evaluation model developed was applied to three cases to verify the applicability of the model. Although applied in three cases, the difference between the model's forecast and actual case values is less than 5%, which is considered highly applicable. If cases are expanded in the future, it will be a useful tool that can be used in actual work. The feasibility evaluation model developed in this study will support decision making by union members, and if the model is applied in different regions, it will be expected to help local governments to understand the size of possible remodeling projects.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.24 no.3
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• pp.375-388
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• 2019

Accurate evaluation of sea-to-air $CO_2$ flux and its variability is crucial information to the understanding of global carbon cycle and the prediction of atmospheric $CO_2$ concentration. $fCO_2$ observations are sparse in space and time in the East Sea. In this study, we derived high resolution time series of surface $fCO_2$ values in the southwest East Sea, by feeding sea surface temperature (SST), salinity (SSS), chlorophyll-a (CHL), and mixed layer depth (MLD) values, from either satellite-observations or numerical model outputs, to three machine learning models. The root mean square error of the best performing model, a Random Forest (RF) model, was $7.1{\mu}atm$. Important parameters in predicting $fCO_2$ in the RF model were SST and SSS along with time information; CHL and MLD were much less important than the other parameters. The net $CO_2$ flux in the southwest East Sea, calculated from the $fCO_2$ predicted by the RF model, was $-0.76{\pm}1.15mol\;m^{-2}yr^{-1}$, close to the lower bound of the previous estimates in the range of $-0.66{\sim}-2.47mol\;m^{-2}yr^{-1}$. The time series of $fCO_2$ predicted by the RF model showed a significant variation even in a short time interval of a week. For accurate evaluation of the $CO_2$ flux in the Ulleung Basin, it is necessary to conduct high resolution in situ observations in spring when $fCO_2$ changes rapidly.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.57-75
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• 2019

In this paper, we conducted a study focusing on the innovation direction of the documentary model on the Internet of Things industry, which is the most actively industrialized among the core technologies of the 4th Industrial Revolution. Policy, economic, social, and technical issues were derived using PEST analysis for global trend analysis. It also presented future prospects for the Internet of Things industry of ICT-related global research institutes such as Gartner and International Data Corporation. Global research institutes predicted that competition in network technologies will be an issue for industrial Internet (IIoST) and IoT (Internet of Things) based on infrastructure and platforms. As a result of the PEST analysis, developed countries are pushing policies to respond to the fourth industrial revolution through cooperation of private (business/ research institutes) led by the government. It was also in the process of expanding related R&D budgets and establishing related policies in South Korea. On the economic side, the growth tax of the related industries (based on the aggregate value of the market) and the performance of the entity were reviewed. The growth of industries related to the fourth industrial revolution in advanced countries overseas was found to be faster than other industries, while in Korea, the growth of the "technical hardware and equipment" and "communication service" sectors was relatively low among industries related to the fourth industrial revolution. On the social side, it is expected to cause enormous ripple effects across society, largely due to changes in technology and industrial structure, changes in employment structure, changes in job volume, etc. On the technical side, changes were taking place in each industry, representing the health and medical sectors and manufacturing sectors, which were rapidly changing as they merged with the technology of the Fourth Industrial Revolution. In this paper, various management methodologies for innovation of existing business model were reviewed to cope with rapidly changing industrial environment due to the fourth industrial revolution. In addition, four criteria were established to select a management model to cope with the new business environment: 'Applicability', 'Agility', 'Diversity' and 'Connectivity'. The expert survey results in an AHP analysis showing that Business Model Canvas is best suited for business model innovation methodology. The results showed very high importance, 42.5 percent in terms of "Applicability", 48.1 percent in terms of "Agility", 47.6 percent in terms of "diversity" and 42.9 percent in terms of "connectivity." Thus, it was selected as a model that could be diversely applied according to the industrial ecology and paradigm shift. Business Model Canvas is a relatively recent management strategy that identifies the value of a business model through a nine-block approach as a methodology for business model innovation. It identifies the value of a business model through nine block approaches and covers the four key areas of business: customer, order, infrastructure, and business feasibility analysis. In the paper, the expansion and application direction of the nine blocks were presented from the perspective of the IoT company (ICT). In conclusion, the discussion of which Business Model Canvas models will be applied in the ICT convergence industry is described. Based on the nine blocks, if appropriate applications are carried out to suit the characteristics of the target company, various applications are possible, such as integration and removal of five blocks, seven blocks and so on, and segmentation of blocks that fit the characteristics. Future research needs to develop customized business innovation methodologies for Internet of Things companies, or those that are performing Internet-based services. In addition, in this study, the Business Model Canvas model was derived from expert opinion as a useful tool for innovation. For the expansion and demonstration of the research, a study on the usability of presenting detailed implementation strategies, such as various model application cases and application models for actual companies, is needed.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.99-122
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• 2019

According to the recent IDC (International Data Corporation) report, as from 2025, the total volume of data is estimated to reach ten times higher than that of 2016, corresponding to 163 zettabytes. then the main body of generating information is moving more toward corporations than consumers. So-called "the wave of Big-data" is arriving, and the following aftermath affects entire industries and firms, respectively and collectively. Therefore, effective management of vast amounts of data is more important than ever in terms of the firm. However, there have been no previous studies that measure the effects of big data investment, even though there are number of previous studies that quantitatively the effects of IT investment. Therefore, we quantitatively analyze the Big-data investment effects, which assists firm's investment decision making. This study applied the Event Study Methodology, which is based on the efficient market hypothesis as the theoretical basis, to measure the effect of the big data investment of firms on the response of market investors. In addition, five sub-variables were set to analyze this effect in more depth: the contents are firm size classification, industry classification (finance and ICT), investment completion classification, and vendor existence classification. To measure the impact of Big data investment announcements, Data from 91 announcements from 2010 to 2017 were used as data, and the effect of investment was more empirically observed by observing changes in corporate value immediately after the disclosure. This study collected data on Big Data Investment related to Naver 's' News' category, the largest portal site in Korea. In addition, when selecting the target companies, we extracted the disclosures of listed companies in the KOSPI and KOSDAQ market. During the collection process, the search keywords were searched through the keywords 'Big data construction', 'Big data introduction', 'Big data investment', 'Big data order', and 'Big data development'. The results of the empirically proved analysis are as follows. First, we found that the market value of 91 publicly listed firms, who announced Big-data investment, increased by 0.92%. In particular, we can see that the market value of finance firms, non-ICT firms, small-cap firms are significantly increased. This result can be interpreted as the market investors perceive positively the big data investment of the enterprise, allowing market investors to better understand the company's big data investment. Second, statistical demonstration that the market value of financial firms and non - ICT firms increases after Big data investment announcement is proved statistically. Third, this study measured the effect of big data investment by dividing by company size and classified it into the top 30% and the bottom 30% of company size standard (market capitalization) without measuring the median value. To maximize the difference. The analysis showed that the investment effect of small sample companies was greater, and the difference between the two groups was also clear. Fourth, one of the most significant features of this study is that the Big Data Investment announcements are classified and structured according to vendor status. We have shown that the investment effect of a group with vendor involvement (with or without a vendor) is very large, indicating that market investors are very positive about the involvement of big data specialist vendors. Lastly but not least, it is also interesting that market investors are evaluating investment more positively at the time of the Big data Investment announcement, which is scheduled to be built rather than completed. Applying this to the industry, it would be effective for a company to make a disclosure when it decided to invest in big data in terms of increasing the market value. Our study has an academic implication, as prior research looked for the impact of Big-data investment has been nonexistent. This study also has a practical implication in that it can be a practical reference material for business decision makers considering big data investment.

• Journal of the Korean Chemical Society
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• v.63 no.4
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• pp.246-252
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• 2019

In the system of GC-OTC/FID (Gas chromatography-Open Tubular Column/Flame Ionization Detector), DMSO (Dimethyl sulfide) solvent was used to separate the polar solvents (Alcohols). In this system DMSO was eluted later than the separated polar solvents. At this system to calculate chromatographic factors [adjusted retention time ($t_R^{\prime}=t_R-t_O$), capacity factor{$k^{\prime}=(t_R-t_O)/t_O$} and separation factor {${\alpha}=(t_{R2}-t_O)/(t_{R1}-t_O)$}], dead time($t_O$) is necessary, but the method to calculate it has not been reported yet. Therefore, we have tried to develop $t_O$. To calculate $t_O$, we conversed DMSO retention time (DMSO $t_R$) to logarithm ($f(x)={\log}\;t_{R(DMSO)}{\rightarrow}t_O$, $t_O={\log}$ 9.551=0.980). To confirm the optimization of the developed method, we compared with $CH_4\;t_R$ and ${\ln}\;t_{R(DMSO)}$. Both of the values calculated by $CH_4\;t_R$ and ${\ln}\;t_{R(DMSO)}$ were not suitable in the calculation k' and ${\alpha}$. The developed method in this study{${\log}\;t_{R(DMSO)}$} has satisfied both of the values k' criteria (1${\alpha}(1<{\alpha}<2)$. The developed calculation method in this study was easy and convenient, therefore it can be expected to be applied to these similar systems.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.31 no.3
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• pp.115-128
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• 2019

In this study, a probabilistic model for the estimation of yearly workable wave condition period for offshore operations is developed. In doing so, we first hindcast the significant wave heights and peak periods off the Ulsan every hour from 2003.1.1 to 2017.12.31 based on the meteorological data by JMA (Japan Meterological Agency) and NOAA (National Oceanic and Atmospheric Administration), and SWAN. Then, we proceed to derive the long term significant wave height distribution from the simulated time series using a least square method. It was shown that the agreements are more remarkable in the distribution in line with the Modified Glukhovskiy Distribution than in the three parameters Weibull distribution which has been preferred in the literature. In an effort to develop a more comprehensive probabilistic model for the estimation of yearly workable wave condition period for offshore operations, wave height distribution over the 15 years with individual waves occurring within the unit simulation period (1 hour) being fully taken into account is also derived based on the Borgman Convolution Integral. It is shown that the coefficients of the Modified Glukhovskiy distribution are $A_p=15.92$, $H_p=4.374m$, ${\kappa}_p=1.824$, and the yearly workable wave condition period for offshore work is estimated to be 319 days when a threshold wave height for offshore work is $H_S=1.5m$. In search of a way to validate the probabilistic model derived in this study, we also carry out the wave by wave analysis of the entire time series of numerically simulated significant wave heights over the 15 years to collect every duration periods of waves the height of which are surpassing the threshold height which has been reported to be $H_S=1.5m$ in the field practice in South Korea. It turns out that the average duration period is 45.5 days from 2003 to 2017, which is very close to 46 days from the probabilistic model derived in this study.

• Korean Journal of Heritage: History & Science
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• v.52 no.2
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• pp.62-79
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• 2019

This study examined the background of Gyeongju Seochulji Pond (world heritage, historic site No. 138), a historic pond in Sam-guk-yu-sa (三國遺事), and its landscaping period when it served as the garden of the Pungcheon Lim clan (豊川 任氏) in the middle of the Joseon dynasty. For this study, a literature review of poetry, prose, and a personal anthology, and a field survey were conducted. Changes in the landscape were analyzed by comparing the landscape appearing in the literature of the Joseon period with past photographs. The results were as follows: First, even though the function and landscape at that time cannot be guessed as the objective ground from Silla to the early part of the Joseon dynasty is insufficient, it has been managed as a Byeolseo (別墅) garden as Pungcheon Lim's family resided in the area of Eastern-Namsan Mountain during the Joseon dynasty. At that time, Seochulji Pond was recognized as a historic place. It functioned as the garden of Pungcheon Lim's family as Lim Jeok (任勣, 1612~1672) built the Yiyodang pavilion (二樂堂). Second, in the literature, the Yiyodang pavilion has been called Gaekdang (客堂), Jeongsa (精舍), Byeolgak (別閣) and Byeolseo, etc. It can be seen as Nu and Jeong (樓亭), utilized for various uses. Because of this, the name Bingheoru Pavilion (憑虛樓) has mostly been in common use. Third, Seochulji Pond was positioned where the scenery is beautiful, with Gyeongju Mt. Namsan (Mt. Geumo) in the background and with a wide field and the Namcheon River flowing in the front. This was typical of Byeolseo gardens of the Joseon dynasty, combining human environments with natural environments. Fourth, the relationship with the Byeolseo garden disappeared as the head of Pungcheon Lim's family added a temple, lotus flowers, pine trees, and a bamboo forest as described in the old poetry and prose. Currently, the landscape does not appear to be significantly different from that as development has not occurred in the area of Seochulji Pond. Also, crape myrtle (Lagerstroemia indica), which now symbolizes the Seochulji Pond, was not identified in the old poetry or past photographs and is not old enough to confirm whether it was prominent at the time. Through this study, it is necessary to reconsider the spatial meanings of the gardens of the Joseon dynasty period and not to highlight the area of Seochulji Pond as a place in the legend. This is a cultural asset in the area of Eastern-Namsan Mountain and has an important meaning in terms of garden history.

• Korean Journal of Heritage: History & Science
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• v.52 no.1
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• pp.258-271
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• 2019

Recent changes in inter-Korean relations have encouraged South Korean archaeologists' interest in northern cultural heritage and their desire to conduct research. However, it is doubtful how much the South Korea really knows about the cultural ruins in North Korea and the cultural ruins to be found in the DMZ. In Korea, research data on the Japanese colonial period is scattered amongst national institutions and it is not possible to to collect, identify and document the data available in each institution. Typically, the data of Keiichi Ogawa(小川敬吉) is difficult to understand in its printed from. In addition, Ogawa has collected data from several national government agencies, and work is underway to collect architectural data and construct digital archives. This situation will not occur if we publish the data collected so far in digital form. Therefore, there is an urgent need to fully disclose the data related to Cheolwon which is owned by national institutions. If this data is analyzed, sufficient archaeological information can be obtained without excavation. On the other hand, one must wonder if the whole landscape of Cheolwon castle of Taebongguk cand be understood by investigating the interior of Cheolwon castle. This effort should be preceded by a survey on the ruins and the remains of the southern part of the southern boundary line. Rapid development and large-scale arrangement of cultivated land are likely to make it difficult to restore the external landscape related to the tillage demand that is required by the current situation. In the process of restoration of the actual Gyeongwon Line, it has been confirmed that serious irregularity has caused damage and the landscape has been transformed. In order to minimize these risks, it is urgent that we investigate the relics scattered in the southern part of the country, and not devote ourselves to the investigation of Cheolwon. In this regard, how much military, roads, excavation and archaeologists are prepared, centered on Cheolwon and scenery is an important question. I am curious as to how much preparation is provided to the Chulwon-gun and Gangwon-do in terms of administrative assistance, and how much archaeologists and excavation agencies are aware of the archaeological information of the inside and the southern part of the DMZ. Furthermore, how long have people been aware of the archaeological remains on the North Korean side? In order for da iscussion on Cheolwon and scenery to progress, it is necessary to carry out a precise investigation and accumulation of data on the remains in South Korea.

• Korean Journal of Heritage: History & Science
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• v.52 no.1
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• pp.44-63
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• 2019

This study empirically investigated the construction and aspects of change in Chugyeongwon, which is located in Donggweol (東闕). In detail, this study investigated the location of the construction and range of Chugyeongwon, the background and intention of the construction, and the affiliated system and aspects of spatial changes of it. The research results can be summarized as follows: First, Chugyeongwon has been assumed to be the space near Haminjeong (涵仁亭) or between Simindang (時敏堂) and Jinsudang (進修堂) in Changgyeonggung Palace. However, according to related historical materials, it is said that Chugyeongwon was located west of Dochongbu (都摠府) in Hyeopsangmun (協祥門) and near Sungmundang (崇文堂). Through Donggweoldohyeong (東闕圖形), evidence of the construction of Chugyeongwon can be found, which verifies such claims. According to The Plan of Changgyeonggung Palace (昌慶宮配置圖), in the form of modern measured drawing, Chugyeongwon today is the green space created in the south of Munjeongjeon (文政殿) and Sungmundang in Changgyeonggung Palace. Second, According to Donggweoldo (東闕圖), Chugyeongwon was a green space where trees grew on the ground within the walls. No artificial facilities were constructed inside. In addition, Chugyeongwon was located at a site with an altitude higher than the surroundings. Especially, the composition forms and location characteristics of Chugyeongwon are similar to those of the Palace Outer Garden located in Hanyang. Thus, based on this evidence about the form and other aspects of the operation of the Palace Outer Garden, it can be inferred that Chugyeongwon was constructed for the preservation and cultivation of the geographical features inside Donggweol. Third, in the late Joseon period, Chugyeongwon was assigned to Changdeokgung Palace or Changgyeonggung Palace in the same manner as was Donggung (東宮). Thus, it is very likely that Chugyeongwon served as a garden for the Royal Family in the Donggung area. The west boundary of Chugyeongwon, which originally consisted of walls and a side gate, was changed into the form in which the walls and colonnades were combined. Chugyeongwon has been modified due to various acts of development since the Japanese colonial era, and in the end, it has disappeared so that no trace can be found.