• Journal of the Korea Computer Graphics Society
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• v.21 no.4
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• pp.19-26
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• 2015

This paper presents a method for optimizing a carrying pose of human body for a given object. The inputs are articulated human body model and and arbitrary-shaped object. We assume that the object is big and heavy, so that both arms should be used to carry it. Unlike small and light objects, big and heaby objects can be hold by only a small range of body poses while keeping a physical statbility. We first introduce an algorithm that evaluates a physical stability of a given human body pose and object state (position and orientation). Then, we define a configuration space and search the space for the most stable carrying pose by using the evaluation algorithm. Finally, to demonstrate the usability of our method, we present the results which each is experimented with different shaped objects and additional user conditions.

• Journal of the Korea Convergence Society
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• v.8 no.4
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• pp.19-24
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• 2017

The growing number of electronic financial transactions (e-banking) has entailed the rapid increase in security threats such as extortion and falsification of financial transaction data. Against such background, rigid security and countermeasures to hedge against such problems have risen as urgent tasks. Thus, this study aims to implement an improved case model by applying the Fraud Detection System (hereinafter, FDS) in a financial corporation 'A' using big data technique (e.g. the function to collect/store various types of typical/atypical financial transaction event data in real time regarding the external intrusion, outflow of internal data, and fraud financial transactions). As a result, There was reduction effect in terms of previous scenario detection target by minimizing false alarm via advanced scenario analysis. And further suggest the future direction of the enhanced FDS.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.4
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• pp.575-580
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• 2018

This paper discusses system for real-time monitoring of patient waiting time in hospitals based on open-source platform. It is necessary to make use of open-source projects to develop a high-performance stream processing system, which analyzes and processes stream data in real time, with less cost. The Hadoop ecosystem is a well-known big data processing platform consisting of numerous open-source subprojects. This paper first defines several requirements for the monitoring system, and selects a few projects from the Hadoop ecosystem that are suited to meet the requirements. Then, the paper proposes system architecture and a detailed module design using Apache Spark, Apache Kafka, and so on. The proposed system can reduce development costs by using open-source projects and by acquiring data from legacy hospital information system. High-performance and fault-tolerance of the system can also be achieved through distributed processing.

• Journal of Information Management
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• v.41 no.4
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• pp.93-118
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• 2010

This study was aimed to establish a workable strategies to operate KESLI consortium reliably. To encourage the research purposes, it was mainly investigated international literature on current challenges for the e-journals consortium in comparison with the domestic implications. Major issues and challenges are divided to six items by scholarly communication changes and e-journals percentage increase, a big deal for a contract -based consortium pricing model in vogue, a consortium of the price hikes and making budget difficulties, use the standard statistics by the results of the use, archiving and archive security uncertainty, and contracts public availability of such external conditions. As a result, the international challenges of E-journals consortium was similar to KESLI, but the depth of information and research on domestic was weaker than the international research. To see more research and a rational perception based on scientific evidence and alternatives that enable KESLI working in the field was needed to be.

• FLOWER RESEARCH JOURNAL
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• v.17 no.1
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• pp.62-66
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• 2009

This study was conducted to investigate the market status and favorite trend of the main importing country of grafted cacti from Korea. The exporting of grafted cacti in Korean has been stagnated in these year. Korea exported grafted cacti to Netherlands 52.1%, followed by USA 14.7%, Canada 9.8%, Japan 2.4%, and Australia 1.9% among 2,522 thousand$ in 2008. Most of exporting grafted cactus was Gymnocalycium mihanovichill above 80%, the rest followed Chamaecereus silvestrii and then Noyocactus scopa. Most of countries favorite big one and various color of Gymnocalycium mihanovichill, however, Australia and Japan prefer red one.

• Journal of Industrial Convergence
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• v.17 no.2
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• pp.21-27
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• 2019

The Internet of things is the infrastructure that can communicate with each other by exchanging information by installing antennas that can communicate with all things in the world. The reason why the Internet of Things is the core of the Fourth Industrial Revolution is that data is collected through the Internet to be. Technology of things Internet and Trend of Things Internet IoT (Internet of Things) is a concept that enables internet connection and communication between devices equipped with various sensors. It is the core IT trend of lot, technology such as big data, mobile, cloud And to provide information for the development of the industrial environment through research on the importance of the Internet of things, the core of the Fourth Industrial Revolution and the processing and analysis techniques of Big Data. By providing various security measures and future technologies, This study was conducted to contribute to management.

• Journal of the Korea institute for structural maintenance and inspection
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• v.23 no.4
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• pp.120-130
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• 2019

In this study, based on the correlation between traffic volume data and vertical displacement data developed in previous research using the bridge maintenance big data of 2006, the vertical displacement estimation model using the traffic volume data of Gwangan Bridge for 10 years A comparison of the performance of the developed model with the current applicability is presented. The present applicability of the developed model is analyzed that the estimated displacement is similar to the actual displacement and that the displacement estimation performance of the model based on the structured regression analysis and the principal component analysis is not significantly different from each other. In conclusion, the vertical displacement estimation model using the traffic volume data developed by this study can be effectively used for the analysis of the behavior according to the traffic load of Gwangan Bridge.

• Journal of Advanced Navigation Technology
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• v.23 no.4
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• pp.296-301
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• 2019

Artificial intelligence is closely linked to our real lives, leading innovation in various fields. Especially, as a means of transportation possessing artificial intelligence, autonomous unmanned vehicles are actively researched and are expected to be put into practical use soon. Autonomous cars and autonomous unmanned aerial vehicles are required to equip accurate navigation system so that they can find out their present position and move to their destination. At present, the navigation of transportation that we operate is mostly dependent on GPS. However, GPS is vulnerable to external intereference. In fact, since 2010, North Korea has jammed GPS several times, causing serious disruptions to mobile communications and aircraft operations. Therefore, in order to ensure safety in the operation of the autonomous unmanned vehicles and to prevent serious accidents caused by the intereference, rapid situation judgment and countermeasure are required. In this paper, based on big data and machine learning technology, we propose a countermeasure system for GPS interference that supports decision making by applying John Boyd's OODA loop cycle (detection - direction setting - determination - action).

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.3
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• pp.265-272
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• 2019

In this study, we conducted a prediction study to qualitatively identify the continuous growth rate that causes problems every year for deposit bank mortgage loans, identify the characteristic factors that could once again stabilize, and come up with measures for future quantitative analysis of mortgage loans and growth trends. Based on data analysis using the R program, which is widely used for big data analysis, the parameters of ARIMA model (0.1,1)(0.1,1)[12] were found to be most suitable. In these indicators, estimates over the next five years (60 months) increased 4.5% on average. However, this has limitations that do not reflect socio-environmental factors, which require further study of these limitations.

• Journal of Industrial Convergence
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• v.16 no.4
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• pp.27-32
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• 2018

In this research, in order to prevent the fire of multiple users who are concerned about many human life damage, based on the statistical data of the National Fire Protection Agency's National Fire Information Center and the Fire Defense Administration Fire Defense Administration, Attempts were made on the exploratory approach to measures that can reduce the topic of. In this research, using the preventive firefighting administrative statistics of the Fire and Disaster Management Agency, we analyzed by focusing on the effectiveness of multiple users' firefighting safety education. Through analysis results we could infer that fire safety education does not have effectiveness in actual fire prevention. Through previous research, we found out that the cause is insufficient for the management of fire safety education, thereby deriving an improvement plan to develop a systematic fire safety education system.