• Journal of Information Technology Services
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• v.16 no.1
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• pp.139-162
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• 2017

Museums contain a significant meaning as a place that reflects empirical knowledge that have been accumulated socially and scientifically in overall life of the public and provides the opportunity to enjoy prestigious culture, while serving as the extended place of education. The first objective of this study is to increase the accessibility of general public through the development of online museum programs as service contents and to present the ultimate direction the development of in art appreciation contents that can effectively expand the infrastructure of culture and art. Second, the effectiveness of online art appreciation programs by registered private museums, which continuously develop smart media-based online museum contents and systemization of archive as the distribution rate of smart devices is increased due to generalization of digital environments, was analyzed by each case to examine the objective distinctions strategies. Third, in terms of museum visitors and smart contents users, this study examines the expected effects of popular distribution by seeking various ways that can enhance the desired exhibit appreciation and autonomous utilization of educational programs, while not being restricted by the physical accessibility and limitation of space at the museums. The subjects of this study included cases of BoroomSan Museum, Savina Museum of Contemporary Art, Imageroot, Sangwon Museum of Art, Hello Museum, etc. and the online smarts contents art appreciation educational programs by registered private museums were analyzed. Results expected to achieve from such processes are as follows. First, the possibility to expand cultural participation in museum exhibition appreciation and museum education infrastructure became widen. Second, the educational program resources can be utilized as the culture and art asset that strengthens the museums' responsibilities in their social role. Third, museum archive can be constructed in more systematic way, and the efficiency of museum archive system can be enhanced to maintain the museum collection database in a consistent format. Fourth, the museum's smart contents users' continued access to museum's online contents may induce the exhibition effect of the site and voluntary participation in education, and can also expect an economic synergy effect as the users become potential visitors that may actually visit the museum in the future.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.45-51
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• 2021

In accordance with the rapid non-face-to-face environment and mobile first strategy, the explosive increase and creation of many structured/unstructured data every year demands new decision making and services using big data in all fields. However, there have been few reference cases of using the Hadoop Ecosystem, which uses the rapidly increasing big data every year to collect and load big data into a standard platform that can be applied in a practical environment, and then store and process well-established big data in a relational database. Therefore, in this study, after collecting unstructured data searched by keywords from social network services based on Hadoop 2.0 through three virtual machine servers in the Spring Framework environment, the collected unstructured data is loaded into Hadoop Distributed File System and HBase based on the loaded unstructured data, it was designed and implemented to store standardized big data in a relational database using a morpheme analyzer. In the future, research on clustering and classification and analysis using machine learning using Hive or Mahout for deep data analysis should be continued.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.2
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• pp.711-732
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• 2019

Many unmanned aerial vehicle (UAV) applications have been employed for performing data collection in facilitating tasks such as surveillance and monitoring objectives in remote and dangerous environments. In light of the fact that most of the existing UAV relaying applications operate in conventional half-duplex (HD) mode, a full-duplex (FD) based UAV relay aided wireless network is investigated, in which the UAV relay helps forwarding information from the source (S) node to the destination (D). Since the activated UAV relays are always floating and flying in the air, its channel state information (CSI) as well as channel capacity is a time-variant parameter. Considering decode-and-forward (DF) relaying protocol in UAV relays, the cooperative relaying channel capacity is constrained by the relatively weaker one (i.e. in terms of signal-to-noise ratio (SNR) or signal-to-interference-plus-noise ratio (SINR)) between S-to-relay and relay-to-D links. The channel capacity can be optimized by adaptively optimizing the transmit power of S and/or UAV relay. Furthermore, a hybrid HD/FD mode is enabled in the proposed UAV relays for adaptively optimizing the channel utilization subject to the instantaneous CSI and/or remaining self-interference (SI) levels. Numerical results show that the channel capacity of the proposed UAV relay aided wireless networks can be maximized by adaptively responding to the influence of various real-time factors.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.1
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• pp.179-187
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• 2019

With the recent development of small computing devices, IoT sensor network can be widely deployed and is now readily available with sensing, calculation and communi-cation functions at low cost. Sensor data management is a major component of the Internet of Things environment. The huge volume of data produced and transmitted from sensing devices can provide a lot of useful information but is often considered the next big data for businesses. New column-wise compression technology is mounted to the large data server because of its superior space efficiency. Since sensor nodes have narrow bandwidth and fault-prone wireless channels, sensor-based storage systems are subject to incomplete data services. In this study, we will bring forth a short overview through providing an analysis on IoT sensor networks, and will propose a new storage management scheme for IoT data. Our management scheme is based on RAID storage model using column-wise segmentation and compression to improve space efficiency without sacrificing I/O performance. We conclude that proposed storage control scheme outperforms the previous RAID control by computer performance simulation.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1105-1112
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• 2022

Field data monitoring systems such as renewable energy generation and smart farm integrated control are developing from PC and server to mobile first, and various wireless communication and application services have emerged with the development of IoT technology. Low-power wide-area networks are services optimized for low-power, low-capacity, and low-speed data transmission, and data collected in the field is transmitted to designated storage servers or cloud-based data platforms, enabling data monitoring. In this paper, we implement an IoT repeater that collects field data with a single device and transmits it to a wireless carrier cloud data flat using a low-power wide-area network, and a monitoring app using it. Using this, the system configuration is simpler, the cost of deployment and operation is lower, and effective data accumulation is possible.

• International Commerce and Information Review
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• v.11 no.4
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• pp.289-312
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• 2009

Under the circumstance of increasing international trade volumes and limitation of customs human resources, it is necessary to shift the customs' revenue collection activities and audit method from a transaction-based approach to an account-based approach. Thus, in 1997, U.S. Customs services established the Account Management Program. The Account Management Program is designed to increase importer compliance and improve customer service through one-on-one interaction with business entities and a designated Customs representative(Account Manager). The Account Management Program is a comprehensive process that includes the following stages and activities ; selection of a potential Account, establishment of the Account, management of the Account. In 2009, Korea Customs service introduced and executed the Account Management Program. But owing to its early stages, Korea Customs service does not suggest effective direction of development of the AM program. So I can propose the following improvements of the Account Management Program in Korea. Firstly, the Account Managers have to be assigned more traders than AEOs(Authorized Economic Operators). Secondly, it is necessary that Customs service appoints part-time port Account Managers to help more traders to improve customs compliance. Thirdly, thought should be given as to Account can be expanded to encompass both small and medium enterprises(SME) by providing customs brokers managing their customs business on the behalf of the SME with the Account Managers. Lastly, Customs service has to establish performance measures and action plan for the Account Management Program.

• Journal of Internet Computing and Services
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• v.21 no.4
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• pp.127-135
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• 2020

The purpose of this study is to develop a human activity recognition (HAR) system, which distinguishes 13 activities, including five activities commonly dealt with in conventional HAR researches and eight activities from the Eastern-Asian culture. The eight special activities include floor-sitting/standing, chair-sitting/standing, floor-lying/up, and bed-lying/up. We used a 3-axis accelerometer sensor on the wrist for data collection and designed a machine learning model for the activity classification. Data clustering through preprocessing and feature extraction/reduction is performed. We then tested six machine learning algorithms for recognition accuracy comparison. As a result, we have achieved an average accuracy of 99.7% for the 13 activities. This result is far better than the average accuracy of current HAR researches based on a smartwatch (89.4%). The superiority of the HAR system developed in this study is proven because we have achieved 98.7% accuracy with publically available 'pamap2' dataset of 12 activities, whose conventionally met the best accuracy is 96.6%.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.6
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• pp.2881-2894
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• 2018

Cyber attacks are increasing continuously. On average about one million malicious codes appear every day, and attacks are expanding gradually to IT convergence services (e.g. vehicles and television) and social infrastructure (nuclear energy, power, water, etc.), as well as cyberspace. Analysis of large-scale cyber incidents has revealed that most attacks are started by PCs infected with malicious code. This paper proposes a method of detecting an attack IP automatically by analyzing the characteristics of the e-mail transfer path, which cannot be manipulated by the attacker. In particular, we developed a system based on the proposed model, and operated it for more than four months, and then detected 1,750,000 attack IPs by analyzing 22,570,000 spam e-mails in a commercial environment. A detected attack IP can be used to remove spam e-mails by linking it with the cyber removal system, or to block spam e-mails by linking it with the RBL(Real-time Blocking List) system. In addition, the developed system is expected to play a positive role in preventing cyber attacks, as it can detect a large number of attack IPs when linked with the portal site.

• Journal of Environmental Health Sciences
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• v.33 no.4
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• pp.235-241
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• 2007

The National Institute of Environmental Research(NIER) launched a research about Framework of Environmental Health Information System for Industrial Complex in 2001, with the goal of finding out measures to establish an integrated management system(IMS) for environmental health information. Based on the research results, NIER started to build integrated information system. The process will continue from 2006 to 2008. As the first step, in 2006, NIER outsourced the job of setting up the specific plan. In 2007, based on the plan created in the previous year, computerization work began. During 2008, the $3^{rd}$ year of the process, the integrated system will be compatible to conventional GIS system and statistics analysis system to deliver funker efficient and useful services. In this vein, the objective of the study is to identify data collection procedure, data utilization, and overall goal of the system. In addition, It will illustrate digitalization process and recommendation about how to utilize the system.

• Journal of the Korean Society for information Management
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• v.32 no.3
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• pp.341-360
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• 2015

Services for the elderly is a new challenge for the libraries in aging society. This study reviewed the obstacles faced by the old readers and presbyopia, and analyzed the states of the large-print books to understand and estimate the Korean large-print books availability. Based on the bibliographic list of large-print books collected by the National Library of Korea, large-print book stock list of the Kyobo Book Center, large-print book lists supplied to the libraries by the Korean Library Association, and the data of the previous Library Survey for the Disabled, number of titles and volumes, publication year, duplication, and subject field of the large-print books available are analyzed. Based on the results, problems are identified and recommendations for bibliographic control, collection development, reading promotion, and further research area are suggested.