• KIPS Transactions on Software and Data Engineering
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• v.2 no.9
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• pp.589-594
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• 2013

As the concept of web characteristics represented by openness and mind sharing grows more and more popular, device log data generated by both users and developers have become increasingly complicated. For such reasons, a log data processing mechanism that automatically produces meaningful data set from large amount of log records have become necessary for mobile device UX(User eXperience) analysis. In this paper, we define the attributes of to-be-analyzed log data that reflect the characteristics of a mobile device and collect real log data from mobile device users. Along with the MapReduce programming paradigm in Hadoop platform, we have performed a mobile device User eXperience analysis in a distributed processing environment using the collected real log data. We have then demonstrated the effectiveness of the proposed analysis mechanism by applying the various combinations of Map and Reduce steps to produce a simple data schema from the large amount of complex log records.

• Informatization Policy
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• v.24 no.1
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• pp.79-99
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• 2017

Despite the early success story, the pan-industry diffusion of big data has been slow mostly due to lack of confidence of the value creation and privacy-related concerns. The problem leads us to the need to a stakeholder analysis on the adoption process of big data. The present study combines technology acceptance model, task-technology fit theory, and privacy calculus theory to integrate the positive and negative factors on the big data adoption. The empirical analysis was performed based on the survey from the current and potential big data users. Results revealed perceived usefulness, task-technology fit, and privacy concern are significant antecedents to the intention to use big data. Furthermore, there are significant differences in the perceptions of each constructs among groups divided by the types of big data use, with several exceptions. And the control effect was found in the magnitude of the relation between independent variables and dependent variable. The theoretical and politic implications of the analysis are discussed as to the promotion of big data industry.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.1
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• pp.115-123
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• 2015

As LTE service and smartphone are emerging as the mainstream of mobile communications market, the value and importance of mobile data service has been further increased. MNO(mobile network operator)s already recognized the data service as essential market needs, and have appealed to consumers based on various satisfaction elements of data service such as faster transmission speed, expended data volume provided as default, and introduction of unlimited plan. So, in the smartphone market where has been mature, investigating what service attributes affect users' selection of data service is very meaningful from the perspectives of both the industry and the academic. Under this background, this study explores determinants influencing consumer's choice for mobile data service and analyzes relative importance of the attributes among different type of users. The findings of this study makes us extend our understanding of consumer characteristics and their service needs in data service centric era, and it provides some implications for establishing telecommunications policies and business strategies.

• The KIPS Transactions:PartC
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• v.10C no.3
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• pp.295-304
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• 2003

Currently security researchers focus on protection of program and data from malicious users and accidents. Therefore, many firewalls and intrusion detection systems have been developed commercially. The intrusion tolerance is a new concept that is the last line of defense for the information survivability. It emphasizes availability and integrity to provide critical system services continuously even when system is compromised. In this paper, we classify current intrusion tolerant technologies from the point of view of program and data. Furthermore, we propose an integrated framework that supports intrusion tolerance of program and data.

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.15-20
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• 2022

This research studied the evaluation of reliability among the software quality characteristics: suitability, reliability, usability, portability, maintainability, performance efficiency, security, and compatibility. It proposes a quantitative evaluation of reliability in the measurement of software quality. This study introduces a method for measuring the failure rate included in maturity during reliability evaluation, which is one of the characteristics of software quality, and is a study with experimental data on how the failure rate changes depending on the form of failure data. Focusing on software testing, the failure rate was measured and compared according to the type of failure data by applying it to the software reliability growth model, focusing on the number of failures per day. The failure rate was measured around the failure time found through the 6-day test, and the failure rate was compared with the failure rate proposed by the international standard ISO/IEC 25023 using the measurement results, and the application was reviewed according to the data type.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.6
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• pp.1376-1379
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• 2009

Recently many Hotels have implemented and operated the Hotel Information System(HIS). These HIS-implementation evoke the significant changes in hotel management. So many interest and researches in HIS has received the spotlight from the hotel managements. Many researcher about HIS focused on the Critical Success Factors (CSF) from the viewpoint of HIS implementation. At this moment we need also the research about significance change of CSF with the laps of time. This kind of research are very critical for the successful operation of HIS. To achieve the objectives of this paper, the Innovation-Theory of E. M. Roger was implemented. As the result of this research we can get the various maturity point of each CSF with the laps of time. For the data gathering many major hotel in Korea were interviewed, and 84 valid questionaires were used for data analysis. The Cronbach's ${\alpha}$ was 0.7239, which means all data were significant.

• Korean Journal of Poultry Science
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• v.41 no.4
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• pp.287-296
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• 2014

Chicken eggs undergo various physiological changes during egg maturation. To study genes associated with the egg maturation in pre-ovulation (immature) and post-ovulation (mature), we compared gene expression patterns between in the immature egg and mature egg using RNA sequencing data. Mature and immature eggs were obtained from a Heuksaek Jaerae-jong of Korean native chicken. Total RNAs obtained from the eggs were sequenced by Illumina HiSeq 2000 platform, and the generated sequence reads were mapped to Galgal4 reference sequence assembly using Tuxedo Protocol. From the comparison of the RNA sequencing data, 315 genes were differentially expressed between mature and immature eggs, and 46 genes were only detected in immature egg. Further gene ontology (GO) analysis was performed for the differentially expressed genes using DAVID, showing that 29 and 28 GO terms were independently clustered from mature and immature, respectively. From those clustered GO terms, genes related to germ cell development, sex differentiation and defense response to bacterium were mainly expressed in the immature egg, while genes related to regulation of apoptosis, steroid metabolic process and lipid homeostasis were mainly detected in the mature egg. Our results could contribute to understand egg maturation before and after ovulation, and develop genetic markers for improving egg quality and productivity.

• Spatial Information Research
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• v.11 no.3
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• pp.261-274
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• 2003

The effective probability-based tile pre-fetching algorithm and the collaborative cache replacement algorithm are able to reduce the response time for user's requests by transferring tiles which will be used in advance and determining tiles which should be removed from the restrictive cache space of a client based on the future access probabilities in Web GISs(Geographical Information Systems). The Web GISs have multi-level abstracted data for the quick response time when zoom-in and zoom-out queries are requested. But, the previous pre-fetching algorithm is applied on only two-dimensional pre-fetching space, and doesn't consider expanded pre-fetching space for multi-level abstracted data in Web GISs. In this thesis, a probability-based pre-fetching algorithm for multi-level abstracted in Web GISs was proposed. This algorithm expanded the previous two-dimensional pre-fetching space into three-dimensional one for pre-fetching tiles of the upper levels or lower levels. Moreover, we evaluated the effect of the proposed pre-fetching algorithm by using a simulation method. Through the experimental results, the response time for user requests was improved 1.8%∼21.6% on the average. Consequently, in Web GISs with multi-level abstracted data, the proposed pre-fetching algorithm and the collaborative cache replacement algorithm can reduce the response time for user requests substantially.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.1
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• pp.193-198
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• 2020

The various uses of the Convolutional Neural Network technology are accelerating the evolution of the computing area, but the opposite is causing serious hardware performance shortages. Neural network accelerators, next-generation memory device technologies, and high-bandwidth memory architectures were proposed as countermeasures, but they are difficult to actively introduce due to the problems of versatility, technological maturity, and high cost, respectively. This study proposes DRAM-based main memory technology that enables read operations to be completed without waiting until the end of the refresh operation using pre-stored XOR bit values, even when the refresh operation is performed in the main memory. The results showed that the proposed technique improved performance by 5.8%, saved energy by 1.2%, and improved EDP by 10.6%.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1436-1441
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• 2014

Social enterprise has been increasingly recognized for as important economic and social contribution to modern society. Recently, many efforts and academic researches related to social enterprise are now emerging from practitioners and academics. This work focused on the key elements affecting the performance of social enterprises such as specifically social entrepreneurship, relationship-oriented organizational culture and government support policy. In this empirical model, two performance variables such as economic and social performance represent the dependent variables. And the size and age of the social enterprises are the controlled variables. By analyzing survey data of 107 social enterprises interesting and meaningful results are obtained. Social entrepreneurship influenced economic and social performance of social enterprises. And relationship-oriented organizational culture influenced economic and social performance of social enterprises. On the other hand, government support policy influenced economic performance of social enterprises, but did not influence its social performance. The developed empirical model of social entrepreneurship in this study showed that community-oriented organizational culture and government policy are important factors for the efficient and successful management of social enterprises in Korea.