• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.07a
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• pp.106-109
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• 2015

ICT 기술이 급속하게 발전함에 따라 수없이 많은 기술이 등장하고 정착되고 안정화되고 있는 상황에서 빅데이터 이슈는 매우 중요하다. 이러한 변화에 빠르게 대응하는 개인이나 기업에게 엄청난 새로운 기회와 부가가치 창출을 제공을 부여해 주고 있다. 현재 방송분야에서는 빅데이터 기술이 콘텐츠 서비스 분야에서 활발히 적용되고 있으며 그 영역이 점차 확대되고 있는 추세이다. 이에 본 논문은 디지털 방송 시스템을 구성하고 있는 다양한 기기에서 발생되는 장애나 이벤트를 빅데이터 분석을 통해 통합관제 모니터링, 통계 및 분석을 통하여 처리할 수 있는 시스템을 제안한다. 제안한 시스템은 방송 인프라 통합 관리, 실시간 이벤트 검색, 장애 분석 및 리포팅 기능을 제공함으로써 문제점을 신속히 파악하여 안정적인 방송 운영을 지원하도록 한다. 또한 각종 방송 장비들의 로그 정보를 수집하여 서비스 상태 및 작업 통계를 통한 시스템의 가용성을 평가할 수 있도록 한다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.5
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• pp.593-600
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• 2018

Owing to the advancement of Internet and smart devices, access to various media such as social media became easy; thus, a large amount of big data is being produced. Particularly, the companies that provide various Internet services are analyzing the big data by using the MapReduce-based big data analysis techniques to investigate the customer preferences and patterns and strengthen the security. However, with MapReduce, when the big data is analyzed by defining the number of reducer objects generated in the reduce stage as one, the processing rate of big data analysis decreases. Therefore, in this paper, a MapReduce-based split big data analysis method is proposed to improve the log analysis processing rate. The proposed method separates the reducer partitioning stage and the analysis result combining stage and improves the big data processing rate by decreasing the bottleneck phenomenon by generating the number of reducer objects dynamically.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.10
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• pp.1529-1534
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• 2013

Since a NAND-flash memory is able to store mass data in a small sized chip and consumes low power, it is exploited on various hand-held devices, such as a smart phone and a sensor node, etc. To process efficiently mass data stored in the flash memory, it is required to use an index. However, since the write operation of the flash memory is slower than the read operation and an overwrite operation is not supported, the usage of existing index schemes degrades the performance of the index. In this paper, we survey the previous researches of index schemes for the flash memory and classify the researches by the methods to solve problems. We also present the performance factor to be considered when we design the index scheme on the flash memory.

• Journal of Digital Contents Society
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• v.16 no.4
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• pp.523-534
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• 2015

Social learning is a form to support learners' active engagement and participation in learning with other learners and instructors by using social media. The concept of social learning should be considered beyond the simple use of social media for learning or education. This study aims to apply the understanding of social learning based on the theoretical background of social theories of learning in designing and developing a program for workforce education. As a pilot test, the newly developed social learning program was implemented to 302 employees with the title of 'Innovative Display Strategy for POP". 138 employees successfully completed the social learning course that focuses on delivering contents in time-line based platform, supporting interactions among students, and working effectively through small smart devices in their workplace. The results were derived from three kinds of data-source: learner's log data, their final evaluation score, and the survey to measure the satisfaction about social learning. Finally the implications for social learning were discussed in terms of the program revision and directions for future application.

• Journal of Internet Computing and Services
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• v.15 no.6
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• pp.107-115
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• 2014

Recently, increased use of the internet resulted in generation of large and diverse types of data due to increased use of social media, expansion of a convergence of among industries, use of the various smart device. We are facing difficulties to manage and analyze the data using previous data processing techniques since the volume of the data is huge, form of the data varies and evolves rapidly. In other words, we need to study a new approach to solve such problems. Many approaches are being studied on this issue, and we are describing an effective design and development to build indexing engine of big data platform. Our goal is to build a system that could effectively manage for huge data set which exceeds previous data processing range, and that could reduce data analysis time. We used large SNMP log data for an experiment, and tried to reduce data analysis time through the fast indexing and searching approach. Also, we expect our approach could help analyzing the user data through visualization of the analyzed data expression.

• Journal of Internet Computing and Services
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• v.16 no.2
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• pp.109-115
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• 2015

The new medical device technologies for bio-signal information and medical information which developed in various forms have been increasing. Information gathering techniques and the increasing of the bio-signal information device are being used as the main information of the medical service in everyday life. Hence, there is increasing in utilization of the various bio-signals, but it has a problem that does not account for security reasons. Furthermore, the medical image information and bio-signal of the patient in medical field is generated by the individual device, that make the situation cannot be managed and integrated. In order to solve that problem, in this paper we integrated the QR code signal associated with the medial image information including the finding of the doctor and the bio-signal information. bio-signal. System implementation environment for medical imaging devices and bio-signal acquisition was configured through bio-signal measurement, smart device and PC. For the ROI extraction of bio-signal and the receiving of image information that transfer from the medical equipment or bio-signal measurement, .NET Framework was used to operate the QR server module on Window Server 2008 operating system. The main function of the QR server module is to parse the DICOM file generated from the medical imaging device and extract the identified ROI information to store and manage in the database. Additionally, EMR, patient health information such as OCS, extracted ROI information needed for basic information and emergency situation is managed by QR code. QR code and ROI management and the bio-signal information file also store and manage depending on the size of receiving the bio-singnal information case with a PID (patient identification) to be used by the bio-signal device. If the receiving of information is not less than the maximum size to be converted into a QR code, the QR code and the URL information can access the bio-signal information through the server. Likewise, .Net Framework is installed to provide the information in the form of the QR code, so the client can check and find the relevant information through PC and android-based smart device. Finally, the existing medical imaging information, bio-signal information and the health information of the patient are integrated over the result of executing the application service in order to provide a medical information service which is suitable in medical field.