• Journal of Practical Engineering Education
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• v.13 no.2
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• pp.333-349
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• 2021

The fourth industrial revolution based on information and communication technology has increased the need for an environment where contents in new technologies can be learned for the development of lifelong vocational capabilities. To prepare for this, K University's online lifelong education center has established STEP, a smart learning platform. In this study, we conducted a study and other platform case analysis for STEP learner types, a survey of learners, and a comprehensive analysis based on these results to classify characteristics by learner types. It also intended to establish a plan to provide customized services to meet the needs of STEP learners in the future. The derived results are as follows. It is necessary to constantly manage learning content difficulty and learning motivation survey, and also needs to refine the operation of learning content in terms of learning composition. In addition, it is important to secure specialized content, to manage vulnerable learners, to actively introduce a learner support system and various educational methods.

• Convergence Security Journal
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• v.21 no.2
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• pp.11-18
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• 2021

To protect tangible and intangible assets, most of the companies are conducting information protection monitoring by using various security equipment in the IT service network. As the security equipment that needs to be protected increases in the process of upgrading and expanding the service network, it is difficult to monitor the possible exposure to the attack for the entire service network. As a countermeasure to this, various studies have been conducted to detect external attacks and illegal communication of equipment, but studies on effective monitoring of the open service ports and construction of illegal communication monitoring system for large-scale service networks are insufficient. In this study, we propose a framework that can monitor information leakage and illegal communication attempts in a wide range of service networks without large-scale investment by analyzing 'Netflow statistical information' of backbone network equipment, which is the gateway to the entire data flow of the IT service network. By using machine learning algorithms to the Netfllow data, we could obtain the high classification accuracy of 94% in identifying whether the Telnet service port of operating equipment is open or not, and we could track the illegal communication of the damaged equipment by using the illegal communication history of the damaged equipment.

• Korean Journal of Environment and Ecology
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• v.35 no.2
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• pp.204-219
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• 2021

This study was conducted to investigate and analyze the characteristics of the plant community structure of vegetation distributed on the western slope and ridge connecting Mt. Noja to Mt. Gara. This basic research was executed not only to restore and manage forest vegetation, but also to monitor the trend of change in the long term. As a result of classifying the communitise in 86 survey quadrats, the Pinus thunbergii-Platycarya strobilacea comm. and P. thunbergii-P. densiflora comm. were distributed around the lowlands. The Carpinus tschonoskii-Deciduous broad-leaved comm., Styrax japonicus-Deciduous broad-leaved comm., Acer pictum subsp. Mono-Deciduous broad-leaved comm., Deciduous broad-leaved comm., and Zelkova serrata comm. appeared in the valley and all stone areas. Quercus serrata comm., Q. serrata-S. japonicus comm., S. japonicus-Carpinus cordata comm., Euonymus oxyphyllus comm. were classified as being distributed on steep slopes with relatively high altitude. According to the succession trend of the forest, evergreen conifers will be transition to deciduous broad-leaved trees. However, deciduous broad-leaved arboreous forests, such as Carpinus tschonoskii, zelkova serrata, and Acer pictum subsp. Mono, were considered to maintain their current succession stage because not only the stratified structure was developed over about 50 years tree age, but also ecologically stabilized. As environmental factors, it was analyzed that altitude, pH, content of clay and silt, Mg⁺⁺, Ca⁺⁺, etc. directly or indirectly affect the distribution of plant communities.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.7
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• pp.191-198
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• 2021

Since the size of training dataset become large and the model is getting deeper to achieve high accuracy in deep learning, the deep neural network training requires a lot of computation and it takes too much time with a single node. Therefore, distributed deep learning is proposed to reduce the training time by distributing computation across multiple nodes. In this study, we propose hybrid allreduce strategy that considers the characteristics of each layer and communication and computational overlapping technique for synchronization of distributed deep learning. Since the convolution layer has fewer parameters than the fully-connected layer as well as it is located at the upper, only short overlapping time is allowed. Thus, butterfly allreduce is used to synchronize the convolution layer. On the other hand, fully-connecter layer is synchronized using ring all-reduce. The empirical experiment results on PyTorch with our proposed scheme shows that the proposed method reduced the training time by up to 33% compared to the baseline PyTorch.

• International Area Studies Review
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• v.15 no.3
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• pp.513-532
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• 2011

Green supply chain management(GSCM) has emerged as a key approach for firms seeking to become sustainable environmentally. GSCM is a system in which the firm takes life cycle responsibility of the products through material recycling, environment-friendly production, and reverse logistics in addition to the classical operations in a supply chain. This paper endeavors to identify the relationship between the GSCM practice implementation and firms' performance among a sample of Korean manufacturing firms. Based on a literature review, eight hypotheses are put forward. First of all, a factor analysis was conducted to derive groupings of GSCM practice from the survey data which included 54 responses. Then, the first regression was conducted to examine the link between GSCM practice implementation and firms' financial performance. The result shows that green purchasing and green production are significant. The second regression was conducted to examine the impact of GSCM practice implementation on the firms' competitiveness. The result reveals that green purchasing, green production, and reverse logistics are positively signifiant.

• Food Engineering Progress
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• v.15 no.2
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• pp.136-142
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• 2011

The objective of this research was to classify intact soybeans and foreign objects using near-infrared (NIR) spectroscopy. Intact soybeans and foreign objects were scanned using a NIR spectrometer equipped with scanning monochromator. NIR spectra of intact soybeans and foreign objects in the wavelength range from 900 to 1800 nm were collected. The classification of intact soybeans and foreign objects were conducted by using partial least-square discriminant analysis (PLS-DA) and soft independent modelling of class analogy (SIMCA) multivariate methods. Various types of data pretreatments were tested to develop the classification models. Intact soybeans and foreign objects were successfully classified by the PLS-DA prediction model with mean normalization pretreatment. These results showed the potential of NIR spectroscopy combined with multivariate analysis as a method for classifying intact soybeans and foreign objects.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.2
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• pp.58-76
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• 2019

As the number of reported injuries has tended to increase over time, large hospitalization expenditure from excessive medical treatments and hospitalization, and insurance frauds associated with moral hazard in minor collisions have caused a global societal problem. Many occupants of rear-ended vehicles involved in rear-end collisions complain of whiplash injury, which is also known as neck injury, without any anatomical and radiological evidence. With only clinical symptoms, stating that a whiplash injury is a type of injury defined by the Abbreviated Injury Scale would be difficult. Therefore, this study focuses on minor rear-end collisions, where the rear-ender vehicle collides with the rear-ended vehicle at rest. The mathematics dynamic model is employed to simulate a total of 100 rear-end collision scenarios based on various weights and collision speeds and identify how the weights and speeds of both vehicles influence the risk of whiplash injury in occupants involved in minor rear-end collisions. The possibility of an injury is very high when the same-weight vehicles are involved in accidents at collision speeds of 15 km/h or higher. The possibilities are 36% and 84% with collision speeds of 15 km/h and 20 km/h, respectively, if weights are disregarded.

• The Korean Journal of Archival Studies
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• no.14
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• pp.241-288
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• 2006

For cope with the participating government promoted local decentralization of the present time, local governments are coming to aim at the realization of local governance. Local governance refers to a way of solving public problems of urban area through partnership which is a collaboration and participation based on 'relationship' among diverse interested parties such as executive authority of policy, private sectors. First of all, it is most important task to make transparency and responsibility of all people and networks by themselves through sharing information. With like this kind of a background, local assembly is an momentos body of local governance because it is a decision making organization at the same time as a representative organization of local residents, and it has a relationship of 'check and balance' with chiefs of local governments as an organization monitoring and supervising the administration of an executive authority. Not the less, information about local assembly does not open to the public or exist. Even some informations open to the public, they are not enough to be settled distrust and low-valuation by civil society. Now Local assembly is face to a point that improve over all of record management. This study is based like this critical mind, then, it examines throughly local assembly's realities by suggestion with reforming plan of record management. Record can embody true values when record management practices indefatigably through prudential system from production until preservation. Accordingly, this study suggests management of transaction unit without the omission of record. Also this study is satisfy the condition of Korean record management system with proposals of record management policy and establishment of record center. At the conclusion of study, it puts effects into shape that local assembly secure transparency and responsibility and organize local governance by record management.

• KIPS Transactions on Computer and Communication Systems
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• v.8 no.6
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• pp.127-138
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• 2019

The data response speed is a critical issue of cloud services because it directly related to the user experience. As such, the in-memory database is widely adopted in many cloud-based applications for achieving fast data response. However, the current implementation of the in-memory database is mostly based on the linked list-based hash table which cannot guarantee the constant data response time. Thus, cuckoo hashing was introduced as an alternative solution, however, there is a disadvantage that only half of the allocated memory can be used for storing data. Subsequently, bucketized cuckoo hashing (BCH) improved the performance of cuckoo hashing in terms of memory efficiency but still cannot overcome the limitation that the insert overhead. In this paper, we propose a data management solution called Wall Cuckoo which aims to improve not only the insert performance but also lookup performance of BCH. The key idea of Wall Cuckoo is that separates the data among a bucket according to the different hash function be used. By doing so, the searching range among the bucket is narrowed down, thereby the amount of slot accesses required for the data lookup can be reduced. At the same time, the insert performance will be improved because the insert is following up the operation of the lookup. According to analysis, the expected value of slot access required for our Wall Cuckoo is less than that of BCH. We conducted experiments to show that Wall Cuckoo outperforms the BCH and Sorting Cuckoo in terms of the amount of slot access in lookup and insert operations and in different load factor (i.e., 10%-95%).

• The Korean Journal of Archival Studies
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• no.14
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• pp.91-117
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• 2006

Electronic Records need to be appraised the authenticity as well as the value itself. There has been various kinds of discussion about how records to be appraised the value of themselves, but there's little argument about how electronic records to be appraised the authenticity of themselves. Therefore this article is modeling some specific authenticity appraisal methods and showing each stages those methods should or may be applied. At the Ingest stage, integrity verification right after records creation in the organization which produced the records, quality and integrity verification about the transferred in the organization which received the records and integrity check between SIP and AIP in the organization which received and preserved the records are essential. At the Preservation stage, integrity check between same AIPs stored in different medium separately and validation of records where or not damaged and recovery damaged records are needed. At the various Processing stages, suitability evaluation after changing the record's management control meta data and changing the record's classification, integrity check after records migration and periodical validation and integrity verification about DIPs are required. For those activities, the appraisal methods including integrity verification, content consistency check, suitability evaluation about record's meta data, feasibility check of unauthorized update and physical status validation should be applied to the electronic records management process.