• Journal of Digital Contents Society
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• v.9 no.2
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• pp.341-348
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• 2008

As a high-speed growth of internet infrastructure and a fast supply of digital imaging devices, a digital image contents industrialization is growing fast. Digital image contents are represented as digitalized images for recognition by the computer. This paper proposes the customized stock image contents management system for digital image contents developers and UCC contents producers. For automatic batch management of image contents, we design the system using the techniques of stock image meta-data conversion to want, image contents format conversion to want and selective image contents uploading to want. Furthermore, constructed system can be embedded to a system easy and fast. It provides efficient work environment as appling conventional systems and contributes for user-friendly interface construction.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.121-134
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• 2021

As interest in stock markets is growing recently in Korea, more investors in their twenties are using the information provided by personal broadcasting channels on YouTube. This study explores how watching the stock market channels on YouTube influences watching behaviors and investment intentions. A structural equation modeling analysis of survey data from 219 adults in the twenties revealed that the perceived credibility of and para-social interaction with the YouTube influencers affected continued viewing intentions. The findings also showed that the effect of identification with the influencers on viewing satisfaction was more prominent when identification mediated the effect of para-social interaction on viewing satisfaction. Theoretical and practical implications were discussed.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.10
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• pp.387-396
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• 2018

Stock price prediction has been a difficult problem to solve. There have been many studies to predict stock price scientifically, but it is still impossible to predict the exact price. Recently, a variety of types of cryptocurrency has been developed, beginning with Bitcoin, which is technically implemented as the concept of distributed ledger. Various approaches have been attempted to predict the price of cryptocurrency. Especially, it is various from attempts to stock prediction techniques in traditional stock market, to attempts to apply deep learning and reinforcement learning. Since the market for cryptocurrency has many new features that are not present in the existing traditional stock market, there is a growing demand for new analytical techniques suitable for the cryptocurrency market. In this study, we first collect and process seven cryptocurrency price data through Bithumb's API. Then, we use the gradient boosting model, which is a data-driven learning based machine learning model, and let the model learn the price data change of cryptocurrency. We also find the most optimal model parameters in the verification step, and finally evaluate the prediction performance of the cryptocurrency price trends.

• Korean Management Science Review
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• v.17 no.3
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• pp.61-71
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• 2000

Due to the potential growing capability that reflects future value, the market value of internet business companies (IB) are still evaluated high although major players like Amazon continuously suffer losses. Then, how do investors valuate the potential growing capabilities given that traditional financial/accounting based valuation approaches seem to be inappropriate for IB. This study attempts to provide an answer to this issue. We, therefore, analyzed the predictability of various accounting and non-accounting variables for IB value. These include book value, net income, unique visitors, page view, reach rate, public float and institutional holdings. Because of being in infant stage and difficulties in obtaining necessary web traffic data, sample of 20 pure IB were selected from Korea Stock Exchange Market, KOSDAQ, and informal market. The results of this study showed that web traffic date had the strongest relationship with IB value. In particular, unique visitors and reach rate were found to be best predictors for IB value while page view was reasonable indicator. Interestingly, net income was not found to related to IB value. This calls for an attention to the typical characteristics of IB that my hinder the usage of traditional valuation approaches for IB. Another results revealed that none of both public float and institutional holdings was significantly associated with IB value, indicating market’s supply-demand factors were less important than traffic information.

• Journal of Forest and Environmental Science
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• v.29 no.1
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• pp.1-14
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• 2013

Acacia mangium is an evergreen fast-growing tropical tree, which can grow up to 30 m tall and 50 cm thick, under favorable conditions. It is a low-elevation species associated with rain forest margins and disturbed, well-drained acid soils. It is native to Papua, Western Irian Jaya and the Maluku islands in Indonesia, Papua New Guinea and north-eastern Queensland in Australia. Due to its rapid growth and tolerance of very poor soils, A. mangium was introduced into some Asian, African and western hemisphere countries where it is used as a plantation tree. A. mangium has good quality wood traits, such as a comparatively low proportion of parenchymatous cells and vessels, white and hard wood, and high calorific value. Therefore, it is useful for a variety of purposes, such as furniture, cabinets, turnery, floors, particleboard, plywood, veneer, fence posts, firewood, and charcoal. It is also being used in pulp and paper making because it has good pulp traits, with high yields of pulp, quality of kraft, and produces paper with good optical, physical and surface properties. Because there are significant provenance differences in growth rate, stem straightness, heartwood formation and frequency of multiple leaders, the productivity and quality also varies depending upon environmental conditions, so genetic improvement programmes have been undertaken in countries like Australia, India, Indonesia, Malaysia, the Philippines, Taiwan and Thailand. The programme includes provenance identifications and testing, plus tree selection and clonal multiplication, establishment of seed orchards and hybridization. The phenology, reproductive biology, fruit characteristics, silvicultural practices for cultivation, pest and diseases problems, production of improved planting stock, harvesting, wood properties and utilization have been discussed in this paper.

• International Journal of Automotive Technology
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• v.6 no.4
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• pp.413-419
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• 2005

The United States automotive recycling infrastructure has successfully reduced the amount of automotive waste sent to landfills, especially since the introduction of shredders in the late 1950s. Shredders are necessary to process and recycle automotive hulks and other durable goods. However, this industry faces significant challenges as the automotive manufacturers are increasing the use of nonmetallic components which are difficult to recycle. Additionally, it is becoming obvious that automobiles contain hazardous materials which place heavy burdens on the environment. To address this growing concern, we propose a process planning model for automotive shredders to make tactical decisions regarding at what level to process and at what level to reprocess feed stock materials. The purpose of this paper is to test analytical models to help shredders improve the profitability and efficiency of the bulk recycling processes for end of life automobile returns. The work is motivated by an actual recycling problem that was observed at Capitol City Metals shredding facility in Indianapolis, Indiana.

• Journal of Plant Biology
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• v.11 no.3
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• pp.8-17
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• 1968

A grafting method, cleft grafting of ordinary dormant scion into an inverted radicle of a germinated seed was tested with good success for chestnut as well as for walnut trees. It was seen that verticilate roots which were produced from the cut and of radicle after grafting made a complete union with scion and made healthy development to produce a successful graft. The radicle before secondary rootlets emerged from its rooting zone was proved to be best stock for inverted radicle grafting. The dormant but was also used for grafting scion with success in this method. Though green house grafting gives higher survival, field grafting was also feasible by this method. Those early growing geason after grafting, the later development of root system and the shoot of the graft were to be studied in the future.

• Journal of Korean Society of Forest Science
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• v.67 no.1
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• pp.52-59
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• 1984

A Gentan probability q(j) is the probability that a newly planted forest will be felled at age-class j. A future change in growing stock and yield of the forests can be predicted by means of this probability. On the other hand a state of the forests is described in terms of an n-vector whose components are the areas of each age-class. This vector, called age-class vector, flows in a n-1 dimensional simplex by means of $n{\times}n$ matrices, whose components are the age-class transition probabilities derived from the Gentan probabilities. In the simplex there exists a fixed point, into which an arbitrary forest age vector sinks. Theoretically this point means a normal state of the forest. To each age-class-transition matrix there corresponds a single normal state; this means that there are infinitely many normal states of the forests.

• Journal of Technology Innovation
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• v.9 no.2
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• pp.17-33
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• 2001

In the knowledge-based economy, technological knowledge (TK) is reckoned key subject of knowledge management. Despite growing recognition, it has long been considered an intractable task to develop precise measures of TK and, as a remedy, a number of R&D-related proxy indicators have been employed. Although voluminous previous research has examined the structure and process of technological innovation by using proxy indicators, the inquiry into the relationship among respective indicators has remained unexplored. In this research, we take three most frequent proxy indicators of TK, R&D human resources, R&D stock, and patents, and investigate the correlation among respective measures. In addition, the dynamic pattern of time lag between technological input and output is also analyzed.

• Proceedings of the KSRS Conference
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• 1998.09a
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• pp.192-197
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• 1998

This paper demonstrates that it is feasible to evaluate forest degradation and to detect deforestation in the 8156$km^2$ study area affected by expand farming using vegetation indices derived from Landsat TM data. The NDVI-growing stock relation was applied on th Landsat TM data and a 3 second grid DEM, whose coverages could improve the assessment of forest degradation and also estimate the rate of change of forest cover area depending on elevation intervals. The strength of the relationship between the ratio of the greenness and brightness indices and forest degradation conditions would have been more interesting in the deforested areas which were converted to crop farming land.