• Journal of the Korea Convergence Society
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• v.10 no.12
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• pp.243-250
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• 2019

With the popularization of online learning, mobile learning and blended learning model, augmented reality technology is increasingly widely applied in the field of education today. This article stresses the necessity of applying augmented reality to education by summarizing the current situation and advantages of augmented reality technology in education. Next, the author proposes a new education system-"AR+E education cloud platform system". Last, the author proposes several inspirations for the design of AR-based education software according to the observation and interview of the behaviors and preferences of the respondents.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.267-273
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• 2016

Creation and Sharing of information which is structured data as well as various unstructured data. makes progress actively through the spread of mobile. Recently, Big Data extracts the semantic information from SNS and data mining is one of the big data technique. Especially, the general emotion analysis that expresses the collective intelligence of the masses is utilized using large and a variety of materials. In this paper, we propose the emotion prediction system architecture which extracts the significant keywords from social network paragraphs using n-gram and Korean morphological analyzer, and predicts the emotion using SVM and these extracted emotion features. The proposed system showed 82.25% more improved recall rate in average than previous systems and it will help extract the semantic keyword using morphological analysis.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.263-268
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• 2015

Put your information in the object-based sensors and mobile networks has been developed that correlate with ubiquitous information technology as the development of IT technology. However, a security solution is to have the data stored in the server, what minimal conditions. In this paper, we propose a data management method is applied to a hash chain of the properties of the multiple techniques to the data used by the big user and the data services to ensure safe handling large amounts of data being provided in the big data services. Improves the safety of the data tied to the hash chain for the classification to classify the attributes of the data attribute information according to the type of data used for the big data services, functions and characteristics of the proposed method. Also, the distributed processing of big data by utilizing the access control information of the hash chain to connect the data attribute information to a geographically dispersed data easily accessible techniques are proposed.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.95-102
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• 2013

The paradigm of SW industry has been rapidly changing into mobile and cloud technology environment. Research model based on PEST-SWOT analysis was employed to derive internal and external factors connected with PEST factors through analyzing the current status and problems of SW HRD system in Korea. Survey was conducted by 20 experts who are involved in SW companies, university, and R&D research institute using AHP(Analytic Hierarchy Process) model. The empirical result showed that SW fusion HRD, creativity-oriented university education in the field of software, global education and exchange, and revitalization of SW venture ecosystem are derived as policy visions of SW HRD for smart industry ecosystem. Another findings are that SW fusion HRD, revitalization of SW venture ecosystem, Job Creation through revitalization of SW start-up, Creation of coexistence between SW large enterprises and SMEs, creativity-oriented university education in the field of software, and global education and exchange are presented in order in terms of the importance of policy priority.

• Journal of the Korea Convergence Society
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• v.9 no.3
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• pp.187-201
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• 2018

Three types of Ad message convergence, A Letter, B Letter+Photo, C Letter+Photo+Video on the Facebook advertising were researched. For this research, three types of sample advertisements were tested on the 230 subjects. And the H1 - How do three types of advertisements differ on the SNS main trait, H2 - Among those Informativity, Reliablity, Playfulness, Intractivity as the SNS main trait, what is the more powerful factor on the brand attitude / Purchase Intention. For this research the ANOVA, Scheffe, Regression Analysis was used. As a result, H1 - The effect power of Playfulness and Interactivity on the three types of Ad message convergence ranked as "A

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.8
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• pp.1962-1969
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• 2009

During past 20 years we have witnessed brilliant advances in major components of computer system, including CPU, memory, network device and HDD. Among these components, in spite of its tremendous advance in capacity, the HDD is the most performance dragging device until now and there is little affirmative forecasting that this problem will be resolved in the near future. We present a new approach to solve this problem using the NAND Flash memory. Researches utilizing Flash memory as storage medium are abundant these days, but almost all of them are targeted to mobile or embedded devices. Our research aims to develop the NAND Flash memory based storage system enough even for enterprise level server systems. This paper present structural and operational mechanism to overcome the weaknesses of existing NAND Flash memory based storage system, and its evaluation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.13-20
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• 2016

The computerized management system for bridges is required due to the increased service life and number of bridges. This paper provides information and communication technology (ICT) - based bridge management system (BMS) to enable life cycle management through a comparative study with the development trend and function of domestic and foreign BMSs. BMS developed as an operation system combined an internet and mobile program, and was based on GIS technology and an object-based information management system. BMS supports the establishment of long-term strategies and short-term plans based on predicting the life-cycle performance profile and the necessary budget by object-based informatization for the whole life-cycle information of bridges. Useful knowledge information for supporting decision making was derived from the life-cycle management strategies establishment for approximately 6,000 existing bridges. BMS was developed to be applicable to all nationwide road bridges. In addition, it can be used practically to maintain the performance based on accurate maintenance result management, reducing cost by reasonable budget management, and enhancing the convenience and reliability of field data collection.

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.307-313
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• 2019

In 2019, Single person households became the most common in Korea. For those households, so called 'Mukbang' and 'Cookbang', the 'Food' related TV and internet programs are so popular and even became worldwide trends. This study explored how the characteristics of the food related programs on TV and internet influence the constant single person households viewers of the dietary self efficacy. The perceived usefulness and the ease of use shows meaningful influences to the dietary self efficacy in all of the generation groups. In young adult generation from 20s to 30s old, the joyfulness is also effective variables to affect the dietary self efficacy.

• Journal of the Korea Society of Computer and Information
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• v.15 no.9
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• pp.129-136
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• 2010

With mobile computing, wireless sensor network and sensor technologies, ubiquitous computing services are being realized and could satisfy the feasibility of ubiquitous healthcare to everyone. This u-Healthcare service can improve life quality of human since medical service can be provided to anyone, anytime, and anywhere. To confirm the vision of u-Healthcare service, we've implemented a healthcare system for heart disease patient which is composed of two components. Front-end collects various signals such as temperature, blood pressure, SpO2, and electrocardiogram, etc. As a backend, medical information server accumulates sensing data and performs back-end processing. To simply transfer these sensing values to a medical team may be too trivial. So, we've designed a model based on context awareness for more improved medical service which is based on artificial neural network. Through rigid experiments, we could confirm that the proposed system can provide improved medical service.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.6
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• pp.703-710
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• 2018

Although various efforts have been made every year to reduce electric fire accidents such as accident analysis and inspection for electric fire accidents, there is no effective countermeasure due to lack of effective decision support system and existing cumulative data utilization method. The purpose of this study is to develop an algorithm for predicting electric fire based on data such as electric safety inspection data, electric fire accident information, building information, and weather information. Through the pre-processing of collected data for each institution such as Korea Electrical Safety Corporation, Meteorological Administration, Ministry of Land, Infrastructure, and Transport, Fire Defense Headquarters, convergence, analysis, modeling, and verification process, we derive the factors influencing electric fire and develop prediction models. The results showed insulation resistance value, humidity, wind speed, building deterioration(aging), floor space ratio, building coverage ratio and building use. The accuracy of prediction model using random forest algorithm was 74.7%.