• Fisheries and Aquatic Sciences
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• v.25 no.7
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• pp.380-389
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• 2022

Morphometric relationships, condition factor (CF) and reproductive biology are significant tools in fish stock management, fish biology, physiology, conservation and ecology. Growth and reproductive strategy of Oreochromis niloticus were studied from 343 fish specimens collected from Lake Shala between January and December 2018. Fish samples ranged from 7.7 cm to 33.0 cm in total length (TL) and from 7.80 g to 708.21 g in total weight (TW) were collected using gillnets of 4, 6, 8, 10, and 12 mm mesh sizes. The length-weight relationship of O. niloticus was TW = 0.0104TL^3.19, indicating positive allometric growth of the fish. The sex ratio (0.93:1) was insignificant from the ideal fish distribution of 1:1 (χ² = 0.47, p > 0.05). Mean CF for males, females and combined sexes was 1.04, 1.06 and 1.05, respectively and statistically insignificant (p > 0.05). The spawning peak occurred in July (rainy) and February (dry) periods, as defined by ripe females and the breeding season. Absolute mean fecundity was 806 eggs and correlated positively with TL and TW of the fish (p < 0.05) (F = 0.56TL^2.29, R² = 0.93, p < 0.05; F = 18.83TW^0.67, R² = 0.90, p < 0.05). The study provides the first detailed account of the morphometric relationships and reproductive biology of O. niloticus in Lake Shala, which can be used as baseline information for successive biological-based studies in Soda Lakes of Ethiopia.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.45-52
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• 2021

This study conducted t-test and ANOVA analysis, influence of importance-satisfaction, regression analysis to local food and restaurants to the purchase intention in Busan. The subjects of this study were tourists who visited local restaurants in Busan, and the final 392 copies were used for empirical analysis. As a result of the study, first, there will be a significant difference in the recognition of local foods in Busan according to the visitor's region. In all samples, the recognition was high in the order of pork stock, wheat noodle, sauteed·fired soft eel, grilled·ell sashmi. On the other hand, sansung bulgogi, Dongrae pajeon, and sansung makkŏlli were the lowest. Second, in the difference between importance and satisfaction of local restaurants in Busan, 'there is a different taste compared to other regions' showed high satisfaction and importance. Third, In the relationship between the awareness of local restaurants in Busan and the purchase intention, it was found to be effective in service, facilities, prices and locality and cleanliness were rejected.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.359-364
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• 2021

Recently, research on predictive systems using deep learning and machine learning of artificial intelligence is being actively conducted. Due to the development of artificial intelligence, the role of the investment manager is being replaced by artificial intelligence, and due to the higher rate of return than the investment manager, algorithmic trading using artificial intelligence is becoming more common. Algorithmic trading excludes human emotions and trades mechanically according to conditions, so it comes out higher than human trading yields when approached in the long term. The deep learning technique of artificial intelligence learns past time series data and predicts the future, so it learns like a human and can respond to changing strategies. In particular, the LSTM technique is used to predict the future by increasing the weight of recent data by remembering or forgetting part of past data. fbprophet, an artificial intelligence algorithm recently developed by Facebook, boasts high prediction accuracy and is used to predict stock prices and cryptocurrency prices. Therefore, this study intends to establish a sound investment culture by providing a new algorithm for automatic cryptocurrency trading by analyzing the actual value and difference using fbprophet and presenting conditions for accurate prediction.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.375-381
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• 2022

The purpose of this study is to find out the spatial expression characteristics of Philipstock from a heterotopic perspective in the background of the times of modern people struggling to live in the era of an infectious disease called COVID-19 along with the era of the 4th industrial revolution. As for the research method, a total of 11 places were selected, focusing on the completed works of interior space from 2015 to the present, when they are more active after retirement, to find out the characteristics of spatial expression through literature and case studies. As a result, the spatial expression characteristics of narrative that only space has were the most frequent, and it was found that the characteristics of imaginary space and fantasy, which are the form of overlapping time to express a place, were interrelated. Philip Stock's design method, which uses narrative, fantasy, and imaginary spatial characteristics, can be seen as sufficiently representing heterotopic characteristics and can be used as another design methodology when designing a new space.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.81-94
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• 2022

Real estate and artworks were considered challenging investment targets for individual investors because of their relatively high average transaction price despite their long investment history. Recently, the so-called fractional investment, generally known as investing in a share of the ownership right for real-life assets, etc., and most investors perceive that they actually own a piece (fraction) of the ownership right through their investments, is gaining popularity. Founded in 2016, Musicow started the first service that allows users to invest in copyright fees related to music distribution. Using the LSTM algorithm, one of the deep learning algorithms, this research predict the price of right to participate in copyright fees traded in Musicow. In addition to variables related to claims such as transfer price, transaction volume of claims, and copyright fees, comprehensive indicators indicating the market conditions for music copyright fees participation, exchange rates reflecting economic conditions, KTB interest rates, and Korea Composite Stock Index were also used as variables. As a result, it was confirmed that the LSTM algorithm accurately predicts the transaction price even in the case of fractional investment which has a relatively low transaction volume.

• New & Renewable Energy
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• v.18 no.4
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• pp.70-78
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• 2022

To respond to global warming, there is an increasing interest in eco-friendly alternative energy sources. Therefore, unused forest biomass that has been neglected due to a lack of marketability is attracting attention. With the introduction of the "unused forest biomass certification system" in 2019, ways of determining quantity of unused forest biomass have steadily increased. However, there have been reported cases whereby unused forest biomass weighed more than the amount of harvested trees. It was found that it was possible that forest resources that can be used as round wood were mixed with unused forest biomass. In this context, this study aimed to estimate the amount of mixed round wood in the unused forest biomass supply. The relative expression of growing stock/ha versus the amount of final clearing/ha collected was modeled (y=1.490x-94.341, R²=0.861). As a result, it was found that round wood was mixed into the unused forest biomass, contributing to the disparity observed between the weighted forest biomass and the amount of trees harvested. In conclusion, proper declaration and certification procedures should be carried out for the use of forest resources and promoting unused forest biomass usage.

• Journal of the Korea Society of Computer and Information
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• v.14 no.4
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• pp.179-187
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• 2009

Most real world systems contain a series of dynamic and complex phenomena. One of common methods to understand these systems is to build a model and analyze the behavior of them. A two-step methodology comprised of clustering and then model creation is proposed for the analysis on time series data. An interface is designed for CRM(Customer Relationship Management) that provides user with 1:1 customized information using system modeling. It was confirmed from experiments that better clustering would be derived from model based approach than similarity based one. Clustering is followed by model creation over the clustered groups, by which future direction of time series data movement could be predicted. The effectiveness of the method was validated by checking how similarly predicted values from the models move together with real data such as stock prices.

• Asia-Pacific Journal of Business
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• v.14 no.1
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• pp.313-325
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• 2023

Purpose - The purpose of this study is to examine the process of determining control in a situation where investors hold less than a majority of the voting rights of the investee through case. Design/methodology/approach - In this study, the various and complex considerations presented in K-IFRS 1110 'Consolidated Financial Statements' were systematically classified and stratified. Findings - First, the agreement to delegate voting rights does not necessarily have to be documented, but it can be said to be substantive rights right only if it is not of the nature that one party can discontinue at any time. Second, if it is clear that investors do not have power due to the relative size of voting rights and the degree of stock dispersion, there is no need to review the past shareholders' meeting resolutions and additional facts and circumstances. Research implications or Originality - This study expects to minimize errors in applying the standards by classifying and stratifying the various considerations presented in K-IFRS 1110 into first and subsequent considerations. In addition, it is expected to contribute to reducing practical confusion in determining control by presenting a step-by-step review through case on whether or not to have power to judge control when holding voting rights of less than a majority.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.58 no.4
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• pp.317-325
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• 2022

Korean tuna purse seine fishery in the Western and Central Pacific Ocean (WCPO) began to operate in earnest in the early 1980s. Since then, the total catch has shown an increasing trend and the target species are skipjack tuna (Katsuwonus pelamis), yellowfin tuna (Thunnus albacare) and bigeye tuna (Thunnus obesus). Based on the operational data of Korean tuna purse seine fishery from 2016 to 2020, the catch rates of target species (skipjack and yellowfin tunas) were analyzed by operation time for set types (free school and FAD sets). In the case of the free school sets, they were usually made from sunrise to sunset, and the catch rate was high before and after sunrise for skipjack tuna and before sunset for yellowfin tuna. On the other hand, for the FAD sets, more than 90% of them were made just before sunrise, and there were few operations during the daytime. The purpose of this study is to examine whether there are differences in the catch rate of skipjack and yellowfin tunas by operation time and by school type for Korean tuna purse seine fishery in the WCPO, which could be helpful in understanding its fishing characteristics and providing useful information for developing the stock indices of the target species.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.5
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• pp.33-46
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• 2023

In this study, carbon storage in the aboveground biomass, litter layer, and soil layer was calculated for abandoned mining restoration areas to determine the level of carbon storage after the restoration project through comparison with the ecological reference. Five survey sites were selected for each abandoned mining restoration area in Boryeong-si, Chungcheongnam-do, and the ecological reference that can be a goal and model for the restoration project. The carbon storage in the restoration area was 0~21.3Mg C ha^-1, the deciduous layer 3.3~6.0Mg C ha^-1, and the soil layer(0-30cm) 8.3~35.1Mg C ha^-1, showing a significant difference in carbon storage by target site. The total carbon storage was between 6.1 and 35.3% of the ecological reference, with restoration area ranging from 14.0 to 62.4 Mg C ha^-1. The total carbon storage in the restoration area and the ecological reference differed the most in the aboveground biomass and was less than 12%. Based on these results, forest restoration area need to improve the carbon storage of forests through continuous management and monitoring so trees can grow and restore productivity in the early stages of the restoration project. The results of this study can be used as primary data for preparing future forest restoration indicators by identifying the storage of abandoned mining restoration areas.