• The Journal of the Korea Contents Association
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• v.6 no.5
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• pp.113-121
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• 2006

As Internet evolves, web sites are becoming more and more complex, and it costs a lot of time and money to update web sites. The explosive growth of a large amount of content has resulted in an excessive server load and high network traffic, and thus it decreases the quality of service. In this research, we designed and implemented an integrated content management system which can be constructed and managed the content easily, and which is combined a merchant system with a personal information system based on the distributed content gathering and searching in order to optimize the utilization of the content itself.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.477-482
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• 2016

This paper presents a new method of parity storing for ECC(error correcting code) in SSD (solid-state drive) and suitable structure of the controller. In general usage of NAND flash memory, we partition a page into data and spare area. ECC parity is stored in the spare area. The method has overhead on area and timing due to access of the page memory discontinuously. This paper proposes a new parity policy storing method that reduces overhead and R(read)/W(write) timing by using whole page area continuously without partitioning. We analyzed overhead and R/W timing. As a result, the proposed parity storing has 13.6% less read access time than the conventional parity policy with 16KB page size. For 4GB video file transfer, it has about a minute less than the conventional parity policy. It will enhance the system performance because the read operation is key function in SSD.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.575-584
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• 2013

Data types used for big-data analysis are very widely, such as news, blog, SNS, papers, patents, sensed data, and etc. Particularly, the utilization of web documents offering reliable data in real time is increasing gradually. And web crawlers that collect web documents automatically have grown in importance because big-data is being used in many different fields and web data are growing exponentially every year. However, existing web crawlers can't collect whole web documents in a web site because existing web crawlers collect web documents with only URLs included in web documents collected in some web sites. Also, existing web crawlers can collect web documents collected by other web crawlers already because information about web documents collected in each web crawler isn't efficiently managed between web crawlers. Therefore, this paper proposed a distributed web crawler. To resolve the problems of existing web crawler, the proposed web crawler collects web documents by RSS of each web site and Google search API. And the web crawler provides fast crawling performance by a client-server model based on RMI and NIO that minimize network traffic. Furthermore, the web crawler extracts core content from a web document by a keyword similarity comparison on tags included in a web documents. Finally, to verify the superiority of our web crawler, we compare our web crawler with existing web crawlers in various experiments.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1341-1346
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• 2017

In this paper, we designed the open service platform based on integrated type of individual customized service and intelligent information technology with individual's complex attributes and requests. First, the data collection phase is proceed quickly and accurately to repeat extraction, transformation and loading. The generated data from extraction-transformation-loading process module is stored in the distributed data system. The data analysis phase is generated a variety of patterns that used the analysis algorithm in the field. The data processing phase is used distributed parallel processing to improve performance. The data providing should operate independently on device-specific management platform. It provides a type of the Open API.

• The Journal of the Korea Contents Association
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• v.10 no.9
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• pp.57-67
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• 2010

Smart grid technology can expand energy efficiency into the home by monitoring consumer energy usage in real time and communicating with household devices that respond to demands to shut off during periods of non-use, allowing individual consumers to control their electricity usage more effectively. But, the information collected on a smart grid will form a library of personal information, the mishandling of which could be highly invasive of consumer privacy. There will be major concerns if consumer-focused principles of transparency and control are not treated as essential design principles from beginning to end. In this paper, using. All-Or-Nothing Transform encryption mode for providing smart grid security, we propose efficient distributed data Management based on XOR operation. The contribution of this paper is to provide a secure algorithm that manages efficiently distributed data in the field of private data in smart grid environment.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.26-36
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• 2019

Since more than 30 different information systems are collecting and providing construction related information, it is difficult for information users to figure out where and how to acquire the required information. Even if the user find the information, it is hard to meet users demand. Because the current systems accumulate the data just as administrative data and can do not connect the information from the different phases of the lifecycle for the specific facility. The information collected and managed in different information systems should be integrated in terms of lifecycle of the facility to improve money for value of public investment, the quality of life by improving quality of the facility and to provide the foundation for big data utilization in the construction industry. This paper suggested strategic planning for the development of the (assumed name) "The Lifecycle Integrated Construction Information Portal" as a foundation to use the data in construction industry, by investigating prerequisites and suggesting conceptual framework of the system.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.264-273
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• 2017

The purpose of this study was to identify the relationship between volunteer activities and emotional intelligence on the major satisfaction level of nursing college students. This study was a descriptive research design to investigate 252 nursing college students in a university. The data were collected using self-reported questionnaires and analyzed by descriptive statistics, frequency analysis, t-test, one-way ANOVA, correlation analysis, and multiple regression analysis using dummy variables. As a result of the study, 71.8% of the students had experienced volunteer activities. The average level of emotional intelligence of all participants was 4.84 points out of 7, and the major satisfaction level was 3.87 points out of 5 points, each of them was above middle level. The correlations among the attitude of volunteer activity, emotional intelligence, and major satisfaction were statistically significant. The attitude of volunteer activity and emotional intelligence (r=0.329), the attitude of volunteer activity and major satisfaction (r=0.271), emotional intelligence and major satisfaction(r=0.525) showed a statistically significant difference at the significance level of 0.01. There were grade, university life satisfaction, and emotional intelligence as factors affecting major satisfaction, and the explanatory power of these factors was 41.6%. In order to improve the major satisfaction level of nursing students based on the results of this study, it was confirmed that various strategies are needed to improve university life satisfaction and emotional intelligence.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.1
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• pp.371-401
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• 2022

If the blockchain means storing information in a distributed environment that cannot be forged or altered, it is mentioned that this is similar to what librarians collect, preserve, and share authoritative information. In this way, this study examined blockchain technology as a way to collect and provide reliable information, increase work efficiency inside and outside the library, and strengthen cooperative networks. This study attempted to propose various ways to utilize blockchain technology in book relations based on literature surveys and case studies in other fields. To this end, this study first analyzed the field and cases of blockchain application to confirm the possibility and value of blockchain application in the library field, and proposed 12 ways to utilize it based on this. The utilization model was proposed by dividing it into operation and service sectors. In the operation sector, it is a digital identity-based user record storage and authentication function, transparent management and traceable monitoring function, voting-based personnel and recruitment system, blockchain governance-based network efficiency function, and blockchain-based next-generation device management and information integration function. The service sector includes improved book purchase and sharing efficiency due to simplification of intermediaries, digital content copyright protection and management functions, customized service provision based on customer behavior analysis, blockchain-based online learning platforms, sharing platforms, and P2P-based reliable information sharing platforms.

• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.572-582
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• 2020

The purpose of this study was to investigate workplace bullying, job stress, organizational commitment, and turnover intention as well as determine influencing factors on the turnover intention of small and medium-sized hospital nurses. Participants included 140 nurses from six small and medium-sized hospitals with less than 300 beds in G-city and J-province. Data were analyzed using descriptive statistics, independent t-test, one-way analysis of variance, Pearson's correlation coefficient, and stepwise multiple regression, using the SPSS Win 21.0 program. The regression model was statistically significant (F=37.11, p<.001), and the explanatory power for turnover intention was 34.2%. The significant factors influencing turnover intention were organizational commitment (β=-.41, p<.001 and job stress (β=.25, p=.005). Human resources management is crucial for providing high quality healthcare service. The results of this study indicated that it is important to lower job stress and increase organizational commitment in order to reduce turnover intention among nurses of small and medium-sized hospitals. Based on these findings, customized programs for nurses in small and medium-sized hospitals need to be developed and implemented so as to lower their turnover intention and promote efficient management of healthcare human resources.