• Korean Journal of Environmental Biology
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• v.37 no.1
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• pp.60-67
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• 2019

The objective of this study was to verify the stability of nutrient composition by using herbal medicine by-products as an alternative food source and to examine the growth effect on Protaeria brevitarsis seulensis larvae. As a result of comparing the nutritional components of food source, crude protein, crude fat, and crude ash content, except crude fiber content, was high in both non-fermented and fermented medicinal herbal by-products. Especially, crude protein content was highest. Cadmium, lead, mercury, and other heavy metals were not detected and thus stability as alternative food was confirmed. The growth comparison based on the feeding sources showed no significant difference between the fermented oak sawdust fed control group and the herbal medicine by-products fed laboratory group from week 1 to week 3. The weight of a 4 week larva was 0.137 g in the control group and 0.671 g in the laboratory group and so began to reveal differences at a significant level (p<0.05). As a result of comparing weights of Protaetia brevitarsis seulensis larvae according to the level of herbal medicine by-product addition, HMB40 recorded the heaviest weight in week 7. Statistical analysis showed that there was no significant difference in each body weights of HMB40 and HMB80 at week 5 (p<0.05). These results indicate that if the shipping date of an edible insect is a third instar larva, it arrives at the time of shipment at week 5. Thus feeding HMB40 and HMB80 at the 5th week is the most effective.

• Journal of Convergence for Information Technology
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• v.10 no.12
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• pp.201-207
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• 2020

In this study, the practicality of unmanned aerial vehicle photography information was identified. Therefore, a total of four consecutive surveys were conducted on the field-level survey areas among the areas subject to photography using unmanned aerial vehicles, and the changes in crop conditions were analyzed using pictures of unmanned aerial vehicles taken during each survey. It is appropriate to collect and utilize photographic information by directly taking pictures of the survey area according to the time of the on-site survey using unmanned aerial vehicles in the field layer, which is an area where many changes in topography, crop vegetation, and crop types are expected. And it turned out that it was appropriate to utilize satellite images in consideration of economic and efficient aspects in relatively unchanged rice paddies and facilities. If the survey area is well equipped with systems for crop cultivation, deep learning can be utilized in real time by utilizing libraries after obtaining photographic data for a certain area using unmanned aircraft in the future. Through this process, it is believed that it can be used to analyze the overall crop and shipment volume by identifying the crop status and surveying the quantity per unit area.

• The Journal of Information Systems
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• v.30 no.1
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• pp.151-177
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• 2021

Purpose This paper aims to improve management performance by effectively responding to production needs and reducing inventory through synchronizing production planning and procurement in the aviation industry. In this study, the differences in production planning and execution were first analyzed in terms of demand, supply, inventory, and process using the big data collected from a domestic aircraft manufacturers. This paper analyzed the problems in procurement and inventory management using legacy big data from ERP system in the company. Based on the analysis, we performed a simulation to derive an efficient procurement and inventory management plan. Through analysis and simulation of operational data, we were able to discover procurement and inventory policies to effectively respond to production needs. Design/methodology/approach This is an empirical study to analyze the cause of decrease in inventory turnover and increase in inventory cost due to dis-synchronize between production requirements and procurement. The actual operation data, a total of 21,306,611 transaction data which are 18 months data from January 2019 to June 2020, were extracted from the ERP system. All them are such as basic information on materials, material consumption and movement history, inventory/receipt/shipment status, and production orders. To perform data analysis, it went through three steps. At first, we identified the current states and problems of production process to grasp the situation of what happened, and secondly, analyzed the data to identify expected problems through cross-link analysis between transactions, and finally, defined what to do. Many analysis techniques such as correlation analysis, moving average analysis, and linear regression analysis were applied to predict the status of inventory. A simulation was performed to analyze the appropriate inventory level according to the control of fluctuations in the production planing. In the simulation, we tested four alternatives how to coordinate the synchronization between the procurement plan and the production plan. All the alternatives give us more plausible results than actual operation in the past. Findings Based on the big data extracted from the ERP system, the relationship between the level of delivery and the distribution of fluctuations was analyzed in terms of demand, supply, inventory, and process. As a result of analyzing the inventory turnover rate, the root cause of the inventory increase were identified. In addition, based on the data on delivery and receipt performance, it was possible to accurately analyze how much gap occurs between supply and demand, and to figure out how much this affects the inventory level. Moreover, we were able to obtain the more predictable and insightful results through simulation that organizational performance such as inventory cost and lead time can be improved by synchronizing the production planning and purchase procurement with supply and demand information. The results of big data analysis and simulation gave us more insights in production planning, procurement, and inventory management for smart manufacturing and performance improvement.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.214-223
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• 2022

The purpose of this study is to present a new industrial land demand prediction method that can consider external economic factors. The analysis model used ARIMA-X, which can consider exogenous variables. Exogenous variables are composed of macroeconomic variable, Business Survey Index, and Composite Economic Index variables to reflect the economic and industrial structure. And, among the exogenous variables, only variables that precede the supply of industrial land are used for prediction. Variables with precedence in the supply of industrial land were found to be import, private and government consumption expenditure, total capital formation, economic sentiment index, producer's shipment index, machinery for domestic demand and composite leading index. As a result of estimating the ARIMA-X model using these variables, the ARIMA-X(1,1,0) model including only the import was found to be statistically significant. The industrial land demand forecast predicted the industrial land from 2021 to 2030 by reflecting the scenario of change in import. As a result, the future demand for industrial land was predicted to increase by 1.91% annually to 1,030.79 km². As a result of comparing these results with the existing exponential smoothing method, the results of this study were found to be more suitable than the existing models. It is expected to b available as a new industrial land forecasting model.

• Journal of Korea Trade
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• v.26 no.1
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• pp.81-98
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• 2022

Purpose - This study aims to compare the requirements under the United Nations Convention on Contract for the International Sales of Goods (CISG) and the Korean Civil Act (KCA) regarding the buyer's right to require the delivery of substitute goods. The buyer's right to demand substitute delivery not only protect them from the seller's breach of contract but also preserves the contractual bond between the parties by providing an opportunity for sellers to protect their goodwill and circumvent the extreme remedy of avoidance. However, as substitute delivery entails additional efforts and costs for return and re-shipment, this right should not be allowed in every case of defect. Additionally, unlike the CISG, the KCA contains no specific provision related to the requirements for claiming substitute delivery. Therefore, it would be meaningful to examine and compare what requirements should be fulfilled before the buyer exercises the right in relation to non-conforming goods under the CISG and the KCA. Design/methodology - We conducted a comparative study of the requirements under the CISG and the KCA regarding the buyer's right to require delivery of substitute goods given a seller's delivery of non-conforming goods. Additionally, we referred to the opinions from the CISG Advisory Council, the draft of the KCA amendment, and related precedents, mainly focusing on the existence and severity of defects, reasonableness, and timely notice and requests as the major requirements for substitute delivery. Findings - The results of this study can be summarized as follows: First, the CISG provides more detailed requirements about the right to require delivery of substitute goods; by contrast, the KCA does not stipulate any such requirement. Thus, specific requirements for substitute delivery should be included when amending the KCA. Second, the CISG attempts to minimize overlapping and conflict with other remedies by specifying detailed requirements for the delivery of substitutes. Third, both the CISG and KCA require reasonableness for substitute delivery. Originality/value - Although there are no explicit legal requirements for substitute delivery under the KCA, there has been relatively little discussion of this issue to date. Therefore, the findings of our study can guide future revisions of the KCA to fill this loophole. Moreover, the recently released CISG Advisory Council opinion that clarifies the continuing confusion and debate, can help distinguish which remedy is suitable for a particular case. It may provide practical advice for businesspeople in international trade as well as legal implications for the future development of the KCA.

• Korean Journal of Veterinary Service
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• v.45 no.2
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• pp.111-116
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• 2022

The purpose of this study is to evaluate the reduction effect of microbially activated peat on odor generated by livestock farms. The odor gas was measured by stirring the livestock manure sample with the existing litter and the microbially activated peat (Healtha Peat) was developed by this research team. In outdoor farm experiment, the measurements were performed by comparing broilers farm using rice husks and microbially activated peat as litter. The weight, mortality, shipment date, and odor levels (NH₃) were measured before and after experiment. The result showed that NH₃ levels were reduced by 100% in the Healtha Peat mixed group, Healtha Peat and rice husks mixed group. In the peat mixed group, Healtha Peat and saw dust mixed group showed reduce value at 99.6% and 99.1%, respectively. However the rice husks mixed group and saw dust mixed group showed a relatively weak NH₃ reduction effect with values of 57.5% and 84.8%, respectively. After 3 months, the Healtha Peat mixed group and Healtha Peat and rice husks mixed group showed the highest NH₃ reduction effect persistence. In the outdoor farm experiment, NH₃ was present in farms using rice husks, but not in farms using Healtha Peat. In farms using Healtha Peat, the mortality and NH₃ were reduced by 75% and >90%, respectively. The average body weight increased 18% and resulted to 10% decrease in the shipping date. These results implied that microbially activated peat has a clear effect on farm NH₃ reduction and affects the productivity of farm animals.

• Journal of Internet Computing and Services
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• v.24 no.1
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• pp.61-69
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• 2023

Recently, as the fishery resources are depleted, expectations for productivity improvement by 'rearing fishery' in land farms are greatly rising. In the case of land farms, unlike ocean environments, it is easy to control and manage environmental and breeding factors, and has the advantage of being able to adjust production according to the production plan. On the other hand, unlike in the natural environment, there is a disadvantage in that operation costs may significantly increase due to the artificial management for fish growth. Therefore, profit maximization can be pursued by efficiently operating the farm in accordance with the planned target shipment. In order to operate such an efficient farm and nurture fish, an accurate growth prediction model according to the target fish species is absolutely required. Most of the growth prediction models are mainly numerical results based on statistical analysis using farm data. In this paper, we present a growth prediction model from a stochastic point of view to overcome the difficulties in securing data and the difficulty in providing quantitative expected values for inaccuracies that existing growth prediction models from a statistical point of view may have. For a stochastic approach, modeling is performed by introducing a Gaussian process regression method based on water temperature, which is the most important factor in positive growth. From the corresponding results, it is expected that it will be able to provide reference values for more efficient farm operation by simultaneously providing the average value of the predicted growth value at a specific point in time and the confidence interval for that value.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.33-40
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• 2024

The live weight of livestock is important information for managing their health and housing conditions, and it can be used to determine the optimal amount of feed and the timing of shipment. In general, it takes a lot of human resources and time to weigh livestock using a scale, and it is not easy to measure each stage of growth, which prevents effective breeding methods such as feeding amount control from being applied. In this paper, we aims to improve the accuracy of weight measurement of piglets, weaned pigs, nursery pigs, and fattening pigs by collecting, analyzing, learning, and predicting video and image data in animal husbandry and pig farming. For this purpose, we trained using Pytorch, YOLO(you only look once) 5 model, and Scikit Learn library and found that the actual and prediction graphs showed a similar flow with a of RMSE(root mean square error) 0.4%. and MAPE(mean absolute percentage error) 0.2%. It can be utilized in the mammalian pig, weaning pig, nursery pig, and fattening pig sections. The accuracy is expected to be continuously improved based on variously trained image and video data and actual measured weight data. It is expected that efficient breeding management will be possible by predicting the production of pigs by part through video reading in the future.

• The Korean Journal of Air & Space Law and Policy
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• v.30 no.1
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• pp.117-149
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• 2015

On May 16, 2014 the Supreme Court of Korea rendered its decision with respect to litigation filed by All Nippon Airways Co., Ltd. ("ANA") for revocation of an order of correction and payment of a penalty imposed by the Korea Fair Trade Commission ("KFTC"). On or around September 2002, ANA and various airlines operating air cargo service from Japan to Korea were allegedly to have agree to introduce of fuel surcharge into their rates on cargo fares in an attempt to recoup falling profits from rising of oil price. As this hard core cartel was per se prohibited under Korean competition law (The Monopoly Regulation And Fair Trade Act), KFTC began an investigation and consequently with fruitful results imposed an amount of penalty and issued an order of prohibition. ANA protested against this imposition by filing suit against KFTC under the reasons that (1) their agreement was simply pursuant to the relevant laws and regulations including Air Transport Agreement between Korea and Japan, (2) there was an administrative guidance from Japanese government to allow this agreement, (3) extraterritorial application of Korean competition law to the agreement in this matter was improper as it was made within Japan and targeted only for the shipment from Japan to Korea: accordingly there is not a direct and serious effect between the agreement and any result of anti-competitive. This article aims to review ANA's allegation and the judgement delivered by Korean court under some issues respectively; (1) whether there is an effectively actual anti-competitive cartel between airlines including plaintiff, (2) whether filed rate doctrine is reasonable and applicable in this case for precluding wrongfulness, (3) what is the reasonable limitation of boundaries in extraterritorial application of Korean competition law. Additionally, this article also suggests to concern particular features of air transport business as an regulated industry in judging the unfair restrain on competition.

• Horticultural Science & Technology
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• v.30 no.6
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• pp.725-733
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• 2012

Effects of postharvest 1-methylcyclopropene (1-MCP) treatment, controlled atmosphere (CA) storage, and shelf temperature on quality of 'Gamhong' apples were analyzed during export simulation. Fruits were harvested at the optimum maturity for long-term storage, treated with $1{\mu}L{\cdot}L^{-1}$ 1-MCP for 16 hours, and then stored for 6 months under air and CA conditions at $0^{\circ}C$. Poststorage export procedure was performed by applying additional 2-week refrigerated storage and 7-day shelf-life test at 7 and $20^{\circ}C$, which simulated container shipment and local distribution, respectively. After storage and during export simulation, rates of respiration and ethylene evolution were significantly lower in 1-MCP treated and CA-stored apples. For the reduction of respiration, CA storage was more effective than 1-MCP treatment. Soluble solids content was maintained higher in 1-MCP treated apples, while titratable acidity was maintained better both in the 1-MCP treated and CA-stored apples. Effects of 1-MCP treatment and CA storage were highly significant in maintaining flesh firmness and sensory texture ratings. Additive effects from combined application of 1-MCP treatment and CA storage were occasionally observed. Shelf temperature during the local distribution simulation seemed not to significantly influence quality changes only showing limited effects on flesh firmness. Overall results suggest that storage potential of 'Gamhong' apples is shorter than 4 months in control fruit under refrigerated air conditions, whereas the potential can be extended to longer than 6 months by 1-MCP treatment and CA storage. Postharvest program should be provided considering the time of export, i.e. period of storage, and duration of local distribution.