• KIPS Transactions on Computer and Communication Systems
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• v.9 no.10
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• pp.221-230
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• 2020

Supercomputer that shares limited resources to multiple users needs a way to optimize the execution of application. For this, it is useful for system administrators to get prior information and hint about the applications to be executed. In most high-performance computing system operations, system administrators strive to increase system productivity by receiving information about execution duration and resource requirements from users when executing tasks. They are also using profiling techniques that generates the necessary information using statistics such as system usage to increase system utilization. In a previous study, we have proposed a scheduling optimization technique by developing a hardware performance counter-based profiling technique that enables characterization of applications without further understanding of the source code. In this paper, we constructed a profiling testbed cluster to support optimal execution of the supercomputer and experimented with the scalability of the profiling method to analyze application characteristics in the built cluster environment. Also, we experimented that the profiling method can be utilized in actual scheduling optimization with scalability even if the application class is reduced or the number of nodes for profiling is minimized. Even though the number of nodes used for profiling was reduced to 1/4, the execution time of the application increased by 1.08% compared to profiling using all nodes, and the scheduling optimization performance improved by up to 37% compared to sequential execution. In addition, profiling by reducing the size of the problem resulted in a quarter of the cost of collecting profiling data and a performance improvement of up to 35%.

• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.33-42
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• 2020

There has been difficulties in identifying objects by relying on the naked eye in various surveillance systems. There is a growing need for automated surveillance systems to replace soldiers in the field of military surveillance operations. Even though the object detection technology is developing rapidly in the civilian domain, but the research applied to the military is insufficient due to a lack of data and interest. Thus, in this paper, we applied one of deep learning algorithms, Convolutional Neural Network-based binary classification to develop an autonomous identification model of both friend and foe helicopters (AH-64, Mi-17) among the military weapon systems, and evaluated the model performance by considering accuracy, precision, recall and F-measure. As the result, the identification model demonstrates 97.8%, 97.3%, 98.5%, and 97.8 for accuracy, precision, recall and F-measure, respectively. In addition, we analyzed the feature map on convolution layers of the identification model in order to check which area of imagery is highly weighted. In general, rotary shaft of rotating wing, wheels, and air-intake on both of ally and foe helicopters played a major role in the performance of the identification model. This is the first study to attempt to classify images of helicopters among military weapons systems using CNN, and the model proposed in this study shows higher accuracy than the existing classification model for other weapons systems.

• The Journal of the Korea Contents Association
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• v.20 no.4
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• pp.348-357
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• 2020

Discussions on entrepreneurship are increasing, but the methodology that can be applied to actual small to mid-sized businesses and venture firms is insufficient, and research on measuring achievement and application is lacking. In this regard, this paper analyzed actual proof on the relationship among entrepreneurial orientation, R&D capabilities, market share, and the creation of BSC future values that can be empirically applied to small to mid-sized businesses and venture firms. A factor analysis and hypothesis verification have been conducted with the SEM model utilizing SmartPLS 3.0 on the recent 7th year (2017) data from the Human Capital Corporate Panel (HCCP) of the Korea Research Institute for Vocational Education and Training. The actual proof analysis revealed that entrepreneurial orientation creates a positive influence on R&D capabilities and the creation of BSC, and also on market share, with R&D capabilities as a parameter. On the other hand, the relationship between entrepreneurial orientation and market share proved to be not statistically meaningful. Future value creation of BSC also could not mediate the relation between entrepreneurial orientation and market share. Therefore, this research has proven that a company must cultivate its personnel's R&D capabilities with their entrepreneurial orientation. Furthermore, it is a significant fact that BSC, the conventional measuring tool for performance management, could not mediate the relationship between entrepreneurial orientation and market share. Future companies aiming at innovation should consider developing a new index that could measure the corporate-level entrepreneurship and conduct performance management.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.4
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• pp.1073-1084
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• 2016

The purpose of this study is to present the correct direction of research in related fields by analyzing the trends in the domestic study right to be forgotten. In this study, the final selection of 80 pieces of research papers in various disciplines to search for the study and were analyzed by setting the seven criteria and three research questions. Results, notice that significantly increase the amount of research around the social sciences, starting with the EU rules(draft) has been published in 2012, and around the problem navigating the Law oriented research actively done through a literature review and legal research methods can. Intensive study of the protected rights and the conflict in time towards the latter subject was also increased. The right to be forgotten when considering that big data, digital information such diverse and complex technical issues (service), which still lacks support the implementation of the rights ithil research is desperately needed to know the future with the realization that the scope and research methods. The purpose of this study is to present the research direction of the limits intended for domestic research, but realize effective right to be forgotten by future foreign comparative analysis.

• Korean Security Journal
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• no.48
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• pp.113-146
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• 2016

Criminal profiling is a effective and efficient measure for enhancing industrial security of casino business. Particularly, developing criminal profiling of deviant behaviors in casino will help security management to become more effective and efficient in practical ways. Unfortunately, however, there is lack of empirical profiling study in this regard. To fill the vacuum of literature on this topic, this study was purported to create offender profiles of different types of deviant behaviors in casino based on various theories and techniques in criminal profiling literature, such as investigative psychology, linkage analysis, and behavioral evidence analysis. To fulfill the purposes, this study collected behavioral evidence from 90 casino security officers in South Korea. Offenders' behavioral evidence was analyzed to develop offender profiles of seven different types of deviant behaviors, and then the profiles were compared with each profiles that security officers focus on to identify offenders during their work hours. Results showed that, first, there were unique profiles of each type of seven different categories of deviant behaviors in terms of offenders' ways of speaking and acting, their appearance and attitudes. In addition, this study found that there were some amount of gaps between actual offenders' profiles and profiles that security officers have in mind. Based on the results, this study provided policy implications in terms of managing casino industrial security, education and training for security officers, and future study on casino security.

• The Korean Journal of Financial Management
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• v.20 no.2
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• pp.95-126
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• 2003

This paper introduces multifractal processes and presents the empirical investigation of the multifractal asset pricing. The multifractal stock price process contains long-tails which focus on Levy-Stable distributions. The process also contains long-dependence, which is the characteristic feature of fractional Brownian motion. Multifractality introduces a new source of heterogeneity through time-varying local reqularity in the price path. This paper investigates multifractality in stock prices. After finding evidence of multifractal scaling, the multifractal spectrum is estimated via the Legendre transform. The distinguishing feature of the multifractal process is multiscaling of the return distribution's moments under time-resealing. More intensive study is required of estimation techniques and inference procedures.

• Korean Journal of Construction Engineering and Management
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• v.10 no.4
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• pp.26-37
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• 2009

Ministry of Land, Transportation and Marine Affairs(MLTM) has implemented Construction CALS project for improving productivity of construction industry and for making construction project management efficient by responding to informatization and knowledge base society in 21st century. CALS has beeb applied successfully to projects form MLTM, however, the outcomes of Construction CALS hasn't been recognized. In addition, there is no way to find how high the level of Construction CALS is when it is compared with other SOC informatization projects. This study found out the informatiziation level of Construction CALS by using the evaluation index proposed in the former study, and by comparing with other sectors. The evaluation on the level was implemented in the three parts such as informatization infrastructure(network, hardware, standardization, data, informatization, informatization security), informatization utilization(information usage, IT performance), and informatization support(informatization goal, organization of informatization, informatization investment, informatization education), and then, this evaluation was compared with "Assessment for level of industry information system", "Assessment for level of small and midium sized industry information system", and "IICI(Informatizaion Index for the Construction Industry)". With the result from the comparison, this study produced superior factors and inferior factors for each sector. These results are expected to be useful for prioritizing budget allocation by finding out the informatization level of Construction CALS.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.40 no.4
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• pp.397-406
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• 2016

Diverse stakeholders engaged in design, construction, and operation and maintenance of offshore plants typically operate heterogeneous plant 3D CAD systems. Engineering, procurement, and construction (EPC) companies are required to submit plant design result to the owner in the form of a plant 3D CAD model, as specified in the contract. However, because of the limitations of data interface of plant 3D CAD systems, EPC companies frequently perform manual remodeling to fulfill the terms and conditions of the contract. Therefore, comparison should be performed between the source plant 3D CAD model and the remodeled plant 3D CAD model to prove the validity of the remodeled plant 3D CAD model. To automate the comparison process, we have developed a system for quantitatively assessing the similarity of the plant 3D CAD models. This paper presents the architecture and detailed functions of the system. In addition, experimental results using this system are explained.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.2
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• pp.73-81
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• 2015

The objective of this study is in investigating the research for more accurately quantify the information on mountain forest by using the data on high density LiDAR. For the quantitative analysis of mountain forest resources, we investigated the method to acquire the data on high density LiDAR and extract mountain forest resources. Consequently, the height and girth of a tree each mountain forest resources could be extracted by using the data on high density LiDAR. When using the data on low density LiDAR of 2.5points/m² in average used to produce digital map, it was difficult to extract the exact height and girth of mountain forest resources. If using the data on high density LiDAR of 7points/m² by considering topography, the property of mountain forest resources, data capacity and process velocity, etc, it was found that multitudinous entities could be extracted. It was found that mountain topography and mixed topography were generally denser than plane topography and multitudinous mountain forest resources could be extracted. Furthermore, it was also found that the entity at the border could not be extracted, when each partition was individually processed and the area should be subdivided and extracted by considering the process time and property of target area rather than processing wide area at once. We expect to be studied more profoundly the absorption quantity of greenhouse gas later by using information on mountain forest resources in the future.

• Journal of Korean Society of Steel Construction
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• v.26 no.6
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• pp.523-535
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• 2014

According to the capacity design concept underlying current steel seimsic provisions, the braces in concentrically braced frames should dissipate seismic energy through cyclic tension yielding and compression buckling. On the other hand, the beams and the columns in the braced bay should remain elastic for gravity load actions and additional column axial forces resulting from the brace buckling and yielding. However, due to the difficulty in accumulating the yielding and buckling-induced column forces from different stories, empirical and often conservative approaches have been used in design practice. Recently a totally different approach was proposed by Cho, Lee, and Kim (2011) for the prediction of column axial forces in inverted V-braced frames by explicitly considering brace buckling. The idea proposed in their study is extended to X-braced seismic frames which have structural member configurations and load transfer mechanism different from those of inverted V-braced frames. Especially, a more efficient rule is proposed in combining multi-mode effects on the column axial forces by using the modal-mass based weighting factor. The four methods proposed in this study are evaluated based on extensive inelastic dynamic analysis results.