• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.10
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• pp.4787-4807
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• 2016

Although the dense interconnection datacenter networks (DCNs) (e.g. FatTree) provide multiple paths and high bisection bandwidth for each server pair, the single-path TCP (SPT) and ECMP which are widely used currently neither achieve high bandwidth utilization nor have good load balancing. Due to only one available transmission path, SPT cannot make full use of all available bandwidth, while ECMP's random hashing results in many collisions. In this paper, we present OFPT, an OpenFlow based Parallel Transport framework, which integrates precise routing and scheduling for better load balancing and higher network throughput. By adopting OpenFlow based centralized control mechanism, OFPT computes the optimal path and bandwidth provision for each flow according to the global network view. To guarantee high throughput, OFPT dynamically schedules flows with Seamless Flow Migration Mechanism (SFMM), which can avoid packet loss in flow rerouting. Finally, we test OFPT on Mininet and implement it in a real testbed. The experimental results show that the average network throughput in OFPT is up to 97.5% of bisection bandwidth, which is higher than ECMP by 36%. Besides, OFPT decreases the average flow completion time (AFCT) and achieves better scalability.

• Journal of Korean Institute of Industrial Engineers
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• v.41 no.6
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• pp.559-571
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• 2015

To strengthen competences, most of firms have co-operated with external partners. This increases the possibility of unexpected conflicts between firms due to the intellectual property litigation. A suitable intellectual property strategy for firms has to be developed to settle this issue. This study aims to analyze an utilization of intellectual property strategy in firms, and tries to suggest a concept of IP roadmap to support intellectual property strategy planning aligned with technology planning process. For the purposes, we derive five types of intellectual property strategy of firms using Korea Innovation Survey. Then, we explore significant affecting factors using a decision-tree and conduct in-depth analysis for them. Lastly, we suggest a concept of IP roadmap, which can be a supporting tool for developing intellectual property strategy in firms, based on analysis results.

• Food Science and Industry
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• v.50 no.3
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• pp.70-92
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• 2017

Crude palm oil (CPO) is obtained from the fruit of oil palm tree, and is rich in palmitic acid, ${\beta}$-carotene and vitamin E. CPO containing a balanced range of saturated and unsaturated fatty acids is fractionated mainly into liquid palm olein and solid palm. Palm oil is highly stable during frying due to its fatty acid composition, and the synergistic antioxidant activity of ${\beta}$-carotene and tocotrienol. Blending and interesterification of palm oil and other oils are the main processes used to offer functional, nutritional, and technical advantages to produce oils suitable for margarine, shortening, vanaspati, and frying oils etc. The advantages of using palm oil products include cheap raw materials, good availability, and low cost of processing, since hydrogenation is not necessary. Future research should lead to the production of oils with a higher oleic acid content and a higher content of vitamins E, carotenoids, and tocotrienols.

• Journal of the Korean Wood Science and Technology
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• v.10 no.3
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• pp.168-179
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• 1982

The first step to utilize the growing resources of Italian poplar (Populus euramericana I-476) for pulp-Woods, its characteristics and adaptabilities to the pulp industry must be investigated completely. The plantation methods are important for its fast growing in stock, and no less important is the cutting age for its utilization as pulpwood. In this paper, the stone groundwood pulping, refiner groundwood pulping and chemi-groundwood pulping characteristics by the age of tree, along with their physical and chemical characterstics were tested, and relationships between the age groups were analyzed to find out the optimum felling age. The results obtained are as follows: 1. The coefficient of pliability was a little higher in the case of younger trees. 2. The water retention value of each pulp was directly proportional to its physical strength, but this tendency was not detected between the age groups of sample woods. 3. Generally, the physical strength of younger wood pulp was lower regardless of the pulping process. But in the case of pretreatment with NaOH, Asphund and CGP pulp from 5 year old sample wood were stronger in physical strengths than those of GP and Asplund pulp with no pretreatment from 10 years old sample wood. 4. The tear factor of Asplund pulp with alkali pretreatment was higher than that of CGP pulp but the breaking length and the burst factor was similar in all processes. Considering the pulp yield and its brightness, CGP process seems to be advantageous. 5. The dissimilarity of physical strength between 7 and 10 years old wood pulp was not very large in all pulping processes but the physical strength of 5 year old wood pulp was very weak. In the of groundwood pulping from Italian poplar woods, 5 year old wood pulp should be mixed with other long fiber pulp for making a good paper.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.6
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• pp.1193-1204
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• 2021

In information security, AI technology is used to detect unknown malware. Although AI technology guarantees high accuracy, it inevitably entails false positives, so we are considering introducing XAI to interpret the results predicted by AI. However, XAI evaluation studies that evaluate or verify the interpretation only provide simple interpretation results are lacking. XAI evaluation is essential to ensure safety which technique is more accurate. In this paper, we interpret AI results as features that have significantly contributed to AI prediction in the field of malware, and present an evaluation method for the interpretation of AI results. Interpretation of results is performed using two XAI techniques on a tree-based AI model with an accuracy of about 94%, and interpretation of AI results is evaluated by analyzing descriptive accuracy and sparsity. As a result of the experiment, it was confirmed that the AI result interpretation was properly calculated. In the future, it is expected that the adoption and utilization of XAI will gradually increase due to XAI evaluation, and the reliability and transparency of AI will be greatly improved.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.18 no.6
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• pp.201-214
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• 2015

This study was conducted to identify forest topsoil's usefulness from July 2013 to Oct 2014. Generally, there are abundant seeds in topsoils and it can be used at restoration works. Mt. GARIWANG is famous for biodiversity in Korea. This study was aimed to find out the suitable utilization methods of natural topsoils for restoration works at sky-slopes construction sites. Test beds was made to identify suitable collecting times and suitable topsoil thickness. The main results are summarized as follows. First, Mt. GARIWANG have diverse species and in topsoils we can find lots of burried seeds which can be used at restoration works. Second, according to indoor experiment, as the depth of topsoil used thicker, the number of plants and coverage rates were increased. Also, there were no distinct differences in coverage rates between 5cm and 8cm thick topsoil plots and it can be possible to use at least 3cm thick topsoils even thou lower coverage rates. Third, as the results of research about indoor and outdoor experimental plots, there were difference in plant emergency. If we use the stabilizer to protect soil erosion, then we can get more increased results at sloped outdoor experimental plots. Fourth, based on environmental impact assessment, there was 389 species in whole region of Mt. GARIWANG. Through this seed bank experiments, we can find 23 varieties, including 4 tree varieties and 19 herbaceous varieties. We can find lots of native herbaceous species from topsoils. Fifth, this research was done at the specific area of Mt. GARIWANG and used limited topsoils. But we monitoring more longer periods, then there will be more useful outcomes. Finally by researching topsoils of Mt. GARIWANG, we can find diverse native plants. Thus, we must reuse natural topsoils of Mt. Gariwang for restoration of original vegetation.

• Journal of the Korean Wood Science and Technology
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• v.7 no.1
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• pp.3-7
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• 1979

A bark comprises about 10 to 20 percents of a typical log by volume, and is generally considered as an unwanted residue rather than a potentially valuable resources. As the world has been confronted with decreasing forest resources, natural resources pressure dictate that a bark should be a raw material instead of a waste. The utilization of the largely wasted bark of genus Pinus, Quercus and Populus grown in korea can be enhanced by Knowing its chemical Properties. Specially, uses of bark in mulching, growing media and soil amendment can be enhanced by knowing pH and C.E.C values. In this paper, an investigative study is carried out on the pH-and C.E.C-values. The results may be summarized as follows: 1. Bark is acid in nature, and pH values of bark varying from 3.3 to 4.7, is lower than that of wood.pH value of Pinus is the lowest. 2. Cation exchange capacity of bark is greater than that of wood, silt loam soil, and wheat straw.CEC of bark is 45.7 meq/100gm in Pinus, 41.8 meq/100gm in populus, 37.8 meq/100gm in Quercus.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.2
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• pp.212-219
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• 2012

This study focus on what methods of MOT are needed and utilized to solve a technical problem in the MOT leading company. We first classified the MOT methods by project life cycle and R&D job quality based on the several discussion with working group. In order to study, the survey was carried out by 168 experts working on MOT practices. Our main research findings are as follows. The level of utilized MOT methods was above average because MOT sector was beginning to represent an increasing share of total R&D business. But the satisfaction level on the MOT majors was below average. The more utilized MOT methods in practices were 'environment analysis and opportunity research,' 'business feasibility,' 'roadmapping,' 'portfolio,' 'technology tree,' 'scheduling,' 'risk management,' 'six sigma,' 'design of experiment,' 'quality control,' 'cost analysis' etc. And the subjects of product realization process were also needed to MOT practice such as 'design for reliability,' 'design for cost,' 'design for performance,' 'design for safety' deeply involved to product quality. Finally, the capability requested to University students were 'problem define and solving,' 'technology planning and strategy,' 'creative thinking.'

• Journal of Korea Game Society
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• v.21 no.6
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• pp.87-96
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• 2021

As the industry develops, the technology used for games is also being advanced. In particular, AI technology is used to game automation and intelligence. These game player patterns are widely used in online games such as player matchmaking, generation of friendly or hostile NPCs, and balancing of game worlds. This study proposes a model generation method for game players. For model generation, attributes such as hunting, collection, movement, combat, crisis management, production, and interaction were defined, and patterns were extracted and modeled using decision tree method. To evaluate the proposed method, we used the game log of a commercial game and confirmed the meaningful results.

• Journal of the Korea Safety Management & Science
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• v.25 no.2
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• pp.159-165
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• 2023

The entire industry is increasing the use of big data analysis using artificial intelligence technology due to the Fourth Industrial Revolution. The value of big data is increasing, and the same is true of the production technology. However, small and medium -sized manufacturers with small size are difficult to use for work due to lack of data management ability, and it is difficult to enter smart factories. Therefore, to help small and medium -sized manufacturing companies use big data, we will predict the gross production time through machine learning. In previous studies, machine learning was conducted as a time and quantity factor for production, and the excellence of the ExtraTree Algorithm was confirmed by predicting gross product time. In this study, the worker's proficiency factors were added to the time and quantity factors necessary for production, and the prediction rate of LightGBM Algorithm knowing was the highest. The results of the study will help to enhance the company's competitiveness and enhance the competitiveness of the company by identifying the possibility of data utilization of the MES system and supporting systematic production schedule management.