• The Journal of the Korea Contents Association
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• v.11 no.11
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• pp.49-61
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• 2011

In recent, library is considered as an integrated knowledge convergence center that can respond to various requests about information service of users. Therefor it is necessary to establish a novel information system based on information communications technologies of the era. In other words, it is currently required to develop mobile information service available in portable devices such as smart phones or tablet PCs, and to establish information system reflecting cloud computing, SaaS, Annotation, and Library 2.0 etc. In this paper we design and implement a library information system using collective intelligence and cloud computing. This information system can be adapted for the varieties of mobile service paradigm and abruptly increasing amount of electronic materials. Advantages of this concept model are resource sharing, multi-tenant supporting, configuration, and meta-data supporting etc. In addition it can offer software on-demand type user services. In order to test the performance of our system, we perform an effectiveness analysis and TTA authentication test. The average response time corresponding to variance of data reveals 0.692 seconds which is very good performance in timing effectiveness point of view. And we detect maturity level-3 or 4 authentication in TTA tests such as SaaS maturity, performance, and application programs.

• Journal of Internet Computing and Services
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• v.9 no.6
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• pp.1-13
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• 2008

Trusted Computing is a hardware-based technology that aims to guarantee security for machines beyond their users' control by providing security on computing hardware and software. TPM(Trusted Platform Module), the trusted platform specified by the Trusted Computing Group, acts as the roots for the trusted data storage and the trusted reporting of platform configuration. Data sealing encrypts secret data with a key and the platform's configuration at the time of encryption. In contrast to the traditional data sealing based on binary hash values of the platform configuration, a new approach called property-based data sealing was recently suggested. In this paper, we propose and analyze a new property-based data sealing protocol using the weakest precondition concept by Dijkstra. The proposed protocol resolves the problem of system updates by allowing sealed data to be unsealed at any configuration providing the required property. It assumes practically implementable trusted third parties only and protects platform's privacy when communicating. We demonstrate the proposed protocol's operability with any TPM chip by implementing and running the protocol on a software TPM emulator by Strasser. The proposed scheme can be deployed in PDAs and smart phones over wireless mobile networks as well as desktop PCs.

• Korean Journal of Agricultural and Forest Meteorology
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• v.15 no.4
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• pp.320-331
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• 2013

The National Center for AgroMeteorology (NCAM) has designed a risk management solution for individual farms threatened by the climate change and variability. The new service produces weather risk indices tailored to the crop species and phenology by using site-specific weather forecasts and analysis derived from digital products of the Korea Meteorological Administration (KMA). If the risk is high enough to cause any damage to the crops, agrometeorological warnings or watches are delivered to the growers' cellular phones with relevant countermeasures to help protect their crops against the potential damage. Core techniques such as scaling down of weather data to individual farm level and the crop specific risk assessment for operational service were developed and integrated into a cloud based service system. The system was employed and implemented in a rural catchment of 50 $km^2$ with diverse agricultural activities and 230 volunteer farmers are participating in this project to get the user-specific weather information from and to feed their evaluations back to NCAM. The experience obtained through this project will be useful in planning and developing the nation-wide early warning service in agricultural sector exposed to the climate and weather extremes under climate change and climate variability.

• Science of Emotion and Sensibility
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• v.19 no.4
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• pp.13-20
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• 2016

Recently, life-logging service which has expanded to measure and record the daily life of the users and to share with others are increasing. In particular, as life-logging services based on the application has become popular with the development of wearable-devices and smart-phones, the contents of this service are produced by user behavior and are provided in infographic menu form. The purpose of this paper is to extract user behavior and classify for making contents items of life-logging service. For this paper, the first of all, we discuss the definition and characteristics of life-logging and research the contents based on user behavior related to life-logging by the publications including thesis, articles, and books. Secondly, we extract and classify the user behavior to build the contents for life-logging service. We gather users' action words from publication materials, researches, and contents of existing life-logging service. And then collected words are analyzed by FGI (Focus Group Interview) and survey. As the result, 39 words which suit for contents of life-logging service are extracted by verify suitability. Finally, the extracted 39 words are classified for 19 categories -'Eat', 'Keep house', 'Diet', 'Travel', 'Work out', 'Transit', 'Shoot', 'Meet', 'Feel', 'Talk', 'Care for', 'Drive', 'Listen', 'Go online', 'Sleep', 'Go', 'Work', 'Learn', 'Watch' - which are suggested by the surveys, statistical analysis, and FGI. We will discuss the role and limitations of this results to build contents configuration based on life-logging application in this study.

• Journal of Internet Computing and Services
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• v.12 no.1
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• pp.99-110
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• 2011

Mobile environments rapidly changing and digital convergence widely employed, mobile devices including smart phones have been playing a critical role that changes users' lifestyle in the areas of entertainments, businesses and information services. The various services using mobile devices are developing to meet the personal needs of users in the mobile environments. Especially, an LBS (Location-Based Service) is combined with other services and contents such as augmented reality, mobile SNS (Social Network Service), games, and searching, which can provide convenient and useful services to mobile users. In this paper, we design and implement the prototype of mobile personal assistant (PA) agents. Our personal assistant agent helps users do some tasks by hiding the complexity of difficult tasks, performing tasks on behalf of the users, and reflecting the preferences of users. To identify user's preferences and provide personalized services, clustering and classification algorithms of data mining are applied. The clusters of the log data using clustering algorithms are made by measuring the dissimilarity between two objects based on usage patterns. The classification algorithms produce user profiles within each cluster, which make it possible for PA agents to provide users with personalized services and contents. In the experiment, we measured the classification accuracy of user model clustered using clustering algorithms. It turned out that the classification accuracy using our method was increased by 17.42%, compared with that using other clustering algorithms.

• Journal of Internet Computing and Services
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• v.12 no.6
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• pp.171-187
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• 2011

Due to the vitalization of the smart phones, mobile revolution has been started. The mobile revolution has elevated SNS service, which was once considered as just one of many communication tools, to the single most important communication method as well as diffusion of social commerce. Yet, there has not been an adequate study of the roles of SNS in the domestic social commerce market, which has gotten a lot of spotlights. Therefore, the purpose of this study is to investigate the influence of various characteristics of social commerce that it has an impact on the purchase intension as well as the moderating effects of SNS. For these purposes, this study has drawn up the characteristics of social commerce in cost cutting, impulse buy, social influence, decision support, word of mouth effect and etc. to prove the interaction effect of SNS. The regression analysis showed that the characteristics of all the social commerce are related to the dependent variable. As a result of drawing up the interaction effect of SNS, it has shown that the cost cutting and word of mouth have significant influence in the social commerce diffusion as the usage of SNS increased. In conclusion, the main implication of this study is to provide the basic grounds for social commerce business strategy as it investigated the characteristics of SNS and its relation.

• Journal of the Korea Society of Computer and Information
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• v.16 no.8
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• pp.1-10
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• 2011

Recently, cloud computing which has provided enabling convenience that users can connect from anywhere and user friendly environment that offers on-demand network access to a shared pool of configurable computing resources such as smart-phones, net-books and PDA etc, is to be watched as a service that leads the digital revolution. Now, when business practices between departments being integrated through a cooperating system such as cloud computing, data streaming between departments is getting enormous and then it is inevitably necessary to find the solution that person in charge and find data they need. In previous studies the clustering simplifies the search process, but in this paper, it applies Hash Function to remove the de-duplicates in large amount of data in business firms. Also, it applies Bayesian Network of data mining for classifying the respect data and presents handling cloud computing based data. This system features improved search performance as well as the results Compared with conventional methods and CPU, Network Bandwidth Usage in such an efficient system performance is achieved.

• Journal of Digital Convergence
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• v.15 no.1
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• pp.227-238
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• 2017

Cardiac arrest is a serious intensive emergency disease that causes death within less than several minutes by depriving the body and brain of blood supply. Survival rate of cardiac arrest patients outside of hospitals is especially low. This is because pedestrians usually do not perceive the patient as a sick person, also, even if they do so, they have no medical knowledge to properly react to such emergency. The purpose of this study is to propose a solution that uses widely spread smart phones to alert pedestrians of the cardiac arrest patient, prevents cardiac arrest, and provides first-aid measures. By applying the proposed solution, cardiac arrest can be prevented in advance, pedestrians can be alerted to keep the golden time(4 minutes), and first witness can quickly proceed with CPR, ultimately enhancing the survival rate of the cardiac arrest patient.

• The Korean Journal of Food And Nutrition
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• v.29 no.2
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• pp.206-217
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• 2016

This study was conducted to assess the recognition and consumption of health functional food (HFF) of the college students in the Northern Gyeonggi-do area (Republic of Korea). To accomplish this, a survey was conducted to investigate 360 college students (183 males and 177 females) regarding their general characteristics, as well as the recognition, knowledge, considerations, purchases and consumption of HFF. Most male and female students (68.9% and 61.6%, respectively) were unaware of the HFF certification mark, however, more females(58.8%) were aware of the legal HFF definition compared to males (36.6%). The HFF advertising routes for males and females were 'TV radio' (43.2% and 43.5%, respectively) and 'internet smart phones' (19.7% and 27.1%, respectively). The main factor considered for selection and the most serious problem concerning HFF by males and females were 'effectiveness' (36.1% and 43.6%, respectively) and 'hype (exaggerated advertisement)' (35.0% and 55.9%, respectively). The main purchase route by males and females was 'pharmacy' (35.2% and 27.8%, respectively). The main reason for HFF product purchase by males and females was 'health promotion' (38.8% and 29.4%, respectively) and the main reason for not purchasing an HFF product was 'no health problem'(34.8% and 36.7%, respectively). The percentage of HFF consumption was 46.0% in males and 69.8% in females. The main HFF product consumed by males and females was 'vitamin mineral' (36.9% and 43.5%, respectively). The main reason for HFF consumption by males was 'health promotion' (31.0%) and females was 'recovery from fatigue' (21.8%). The main reason for not consuming HFF by males and females was 'no health problem' (38.4% and 41.5%, respectively). These results suggest the need to provide correct information concerning HFF to college students. Based on these results, greater efforts should be made to provide meaningful information regarding factors affecting purchase and consumption patterns for college students related to the research and development of HFF in the Northern Gyeonggi-do area.

• Journal of Distribution Science
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• v.14 no.9
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• pp.85-94
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• 2016

Purpose - Recently, Mobile technologies and devices including smart phones and tablets have increased the possibility of communicating with other people and sharing personal information without time and space restriction. In order to realize the market potential related to mobile technologies, a large number of internet services have been incorporated into mobile platforms. Especially, The number of MIM(Mobile Instant Messenger) users has been increasing dramatically and services using MIM platform also have diversified. In spite of drastic growth in markets related to MIM, there is little empirical research on MIM and users' behaviors. This study designed to examine the structural relationships among belongingness, loneliness, self-disclosure intention, system quality, and self-disclosure behavior in context of MIM. Research design, data, and methodology - Three hypotheses were about the relationship among belongingness, loneliness and self-disclosure intention. The other two hypotheses were about the moderating effect of system quality in the causal relationship between self-disclosure intention and self-disclosure behavior. The data was analyzed by structural equation modeling. Research data were obtained from 330 undergraduate students who were KakaoTalk users and total 314 valid questionnaires were used in the final analysis. Results - The results from this study are as follow. First, the belongingness and the loneliness had a significant impact on self-disclosure intention in MIM. Second, the self-disclosure intention in MIM also had a positive impact on the self-disclosure behavior. Lastly, there is a moderating effect of the system quality in the relationship between the self-disclosure intention and self-disclosure behavior in MIM. Specifically, the higher system quality level was perceived, the positive effect of the self-disclosure intention in MIM on the self-disclosure behavior was greater. Conclusions - Based on the results from this study, academic and practical implications can be drawn. First, the study extends the scope of research about SNS through focusing on MIM to be classified by closed type SNS and identifies the relationship between emotion, behavioral intention and behaviors in MIM. Second, this study provides strategic guidelines to increase the efficiency for promotion activity. Limitations for the study also should be discussed.