• Journal of Internet Computing and Services
• /
• v.15 no.6
• /
• pp.27-34
• /
• 2014

Todays, the rapid technical progress of smart device has been used for various social (wall-fare) services in our lives. Especially, most of these services are based on the Local-based Services (LBS) and this technology is getting popular more and more compared with before. Basically, LBS is able to support various types of geographical services such as vehicles' navigation services, Augmented reality services as using extensional local information such as GPS. However, LBS has serious mathematical vulnerability on the services frequently because of its miscalculated GPS data under interior and ambiguous geographical environment such like shadowed area. So, to overcome this limitation, iBeacon, which would be able to mitigate LBS miscalculation process, has been proposed recently among network experts. Compared with other wireless technologies, iBeacon is able to determine the accurate geographical data of certain local positions easily because it is not only designed based on low-powered data transmitting technology, but also, it can be much easy to be deployed. As users' dependency of smart devices are getting higher and higher and the use of smart device is also getting complex more and more, the users prefer to use various types of smart devices at one time. Therefore, in this paper, we propose the loss prevention system that is able to interwork smart devices networks as using iBeacon technology for users' better conveniences.

• Journal of Internet Computing and Services
• /
• v.15 no.6
• /
• pp.107-115
• /
• 2014

Recently, increased use of the internet resulted in generation of large and diverse types of data due to increased use of social media, expansion of a convergence of among industries, use of the various smart device. We are facing difficulties to manage and analyze the data using previous data processing techniques since the volume of the data is huge, form of the data varies and evolves rapidly. In other words, we need to study a new approach to solve such problems. Many approaches are being studied on this issue, and we are describing an effective design and development to build indexing engine of big data platform. Our goal is to build a system that could effectively manage for huge data set which exceeds previous data processing range, and that could reduce data analysis time. We used large SNMP log data for an experiment, and tried to reduce data analysis time through the fast indexing and searching approach. Also, we expect our approach could help analyzing the user data through visualization of the analyzed data expression.

• Journal of Internet Computing and Services
• /
• v.14 no.4
• /
• pp.73-84
• /
• 2013

This study, based on flow theory and unified theory of acceptance and use of technology (UTAUT), examines various factors that influence the continuous use of mobile applications, particularly those providing users with satisfaction and pleasure as well as useful information. This study extends the previous studies that have been based on technology acceptance model, in which usefulness and ease of use are key determinants of use of new technology, by introducing flow theory in explaining the use of various technologies in mobile environment. For this purpose, this study employes a survey based field study and collects data from individuals who use fashion mobile apps since these are considered to provide fun and pleasures. This study finds that flow theory is a proper framework to understand the use of mobile technology, indicating flow experience is an important variable to determine the usage of fashion apps. In addition, performance expectation, effort expectation, social influence, and facilitation condition are found to be significant in influencing use of mobile apps, suggesting UTAUT still plays an important role in understanding the use of mobile technology.

• Journal of Science and Technology Studies
• /
• v.18 no.2
• /
• pp.7-41
• /
• 2018

The projects of citizen science which is originated from citizen data collecting action driven by governmental institutes and science associations have been implemented with different form of collaboration with scientists. The themes of citizen science has extended from the ecology to astronomy, distributed computing, and particle physics. Citizen science could contribute to the advancement of science through cost-effective science research based on citizen volunteer data collecting. In addition, citizen science enhance the public understanding of science by increasing knowledge of citizen participants. The community-led citizen science projects could raise public awareness of environmental problems and promote the participation in environmental problem-solving. Citizen science projects based on local tacit knowledge can be of benefit to the local environmental policy decision making and implementation of policy. These social values of citizen science make many countries develop promoting policies of citizen science. The korean government also has introduced some citizen science projects. However there are some obstacles, such as low participation of citizen and scientists in projects which the government has to overcome in order to promote citizen science. It is important that scientists could recognize values of citizen science through the successful government driven citizen science projects and the evaluation tool of scientific career could be modified in order to promote scientist's participation. The project management should be well planned to intensify citizen participation. The government should prepare open data policy which could support a data reliability of the community-led monitoring projects. It is also desirable that a citizen science network could be made with the purpose of sharing best practices of citizen science.

• Journal of the Korean Institute of Telematics and Electronics S
• /
• v.36S no.2
• /
• pp.69-80
• /
• 1999

Recently, social requirements of personal identification techniques are rapidly expanding in a number of new application ares. Especially fingerprint recognition is the most important technology. Fingerprint recognition technologies are well established, proven, cost and legally accepted. Therefore, it has more spot lighted among the any other biometrics technologies. In this paper we propose a new on-line fingerprint recognition algorithm for non-inked type live scanner to fit their increasing of security level under the computing environment. Fingerprint recognition system consists of two distinct structural blocks: feature extraction and feature matching. The main topic in this paper focuses on the feature matching using the fingerprint minutiae (ridge ending and bifurcation). Minutiae matching is composed in the alignment stage and matching stage. Success of optimizing the alignment stage is the key of real-time (on-line) fingerprint recognition. Proposed alignment algorithm using clique shows the strength in the search space optimization and partially incomplete image. We make our own database to get the generality. Using the traditional statistical discriminant analysis, 0.05% false acceptance rate (FAR) at 8.83% false rejection rate (FRR) in 1.55 second average matching speed on a Pentium system have been achieved. This makes it possible to construct high performance fingerprint recognition system.

• Journal of Internet Computing and Services
• /
• v.17 no.3
• /
• pp.107-113
• /
• 2016

Following the recent advancement in the use of social networks, a vast amount of different online reviews is created. These variable online reviews which provide feedback data of contents' are being used as sources of valuable information to both contents' users and providers. With the increasing importance of online reviews, studies on opinion mining which analyzes online reviews to extract opinions or evaluations, attitudes and emotions of the writer have been on the increase. However, previous sentiment analysis techniques of opinion-mining focus only on the classification of reviews into positive or negative classes but does not include detailed information analysis of the user's satisfaction or sentiment grounds. Also, previous designs of the sentiment analysis technique only applied to one content domain that is, either product or movie, and could not be applied to other contents from a different domain. This paper suggests a sentiment analysis technique that can analyze detailed satisfaction of online reviews and extract detailed information of the satisfaction level. The proposed technique can analyze not only one domain of contents but also a variety of contents that are not from the same domain. In addition, we design a system based on Hadoop to process vast amounts of data quickly and efficiently. Through our proposed system, both users and contents' providers will be able to receive feedback information more clearly and in detail. Consequently, potential users who will use the content can make effective decisions and contents' providers can quickly apply the users' responses when developing marketing strategy as opposed to the old methods of using surveys. Moreover, the system is expected to be used practically in various fields that require user comments.

• Journal of Internet Computing and Services
• /
• v.12 no.1
• /
• pp.85-98
• /
• 2011

Recently, the world faces a global environmental crisis by the increase of energy consumption and global warming. Since the crisis directly affects political, economic, social, and environmental areas, many countries prepare Green ICT policy to overcome it. However, although Green IT policy provides many benefits by solving environmental pollution and increasing energy efficiency, Korean government did not prepare measures by the policy. The purpose of this study is to suggest priorities of political goals for maximizing the efficiency after introducing Green ICT policy in Korea. Major variables are drawn for the analysis, and they are eco-friendliness, technology evolution, economic efficiency, energy efficiency, and stable supply of energy. The variables are suggested based on 'Low Carbon, Green Growth Act', then the survey was conducted to policy expert using AHP(Analytic Hierarchy Process) and ANP(Analytic Network Process) for prioritizing variables. As a result of the AHP, it is derived in the order of eco-friendliness, technology evolution, economic efficiency, energy efficiency, and stable supply of energy. The ANP result shows in the order of technology evolution, energy efficiency, economic efficiency, eco-friendliness, and stable supply of energy. The research is conducted to analyze the priorities of goals for Green IT policy, and the analysis results are possible to use as a practical guideline for establishing associated policies in the future.

• Journal of Internet Computing and Services
• /
• v.19 no.1
• /
• pp.1-10
• /
• 2018

Network threats such as Internet worms and computer viruses have been significantly increasing. In particular, APTs(Advanced Persistent Threats) and ransomwares become clever and complex. IDSes(Intrusion Detection Systems) have performed a key role as information security solutions during last few decades. To use an IDS effectively, IDS rules must be written properly. An IDS rule includes a key signature and is incorporated into an IDS. If so, the network threat containing the signature can be detected by the IDS while it is passing through the IDS. However, it is challenging to find a key signature for a specific network threat. We first need to analyze a network threat rigorously, and write a proper IDS rule based on the analysis result. If we use a signature that is common to benign and/or normal network traffic, we will observe a lot of false alarms. In this paper, we propose a scheme that analyzes a network threat and extracts key signatures corresponding to the threat. Specifically, our proposed scheme quantifies the degree of correspondence between a network threat and a signature using the LDA(Latent Dirichlet Allocation) algorithm. Obviously, a signature that has significant correspondence to the network threat can be utilized as an IDS rule for detection of the threat.

• Journal of Internet Computing and Services
• /
• v.19 no.1
• /
• pp.49-66
• /
• 2018

This research explores a value chain structure of VR-AR media including user's perception, uses, and evaluation. The purpose of this research focused on factor analysis and the relationship among user's VR-AR adoption motivations and utilities. This research explores correlation between personal value and using motivation. This study was to identify the value structure of respondent on VR-AR usages based on means-end chain theory. The research used structured APT laddering questions and 251 data was analysed. Through such analysis, category difference by stage and relationship difference were identified and hierarchical value map was compared. There are four different value ladders: first is attributes, functional consequences, psychological consequences, and final value. This study is based on the analysis of the value chain structure factors that affect VR and AR use behavior (attributes, functional benefits, psychological benefits, use value), 'Hierarchical Value Map' between users' The purpose of the model is to construct a model. For this, 'means-end chain theory' was applied to measure the causal relationship between personal value and VR related use behavior. In order to solve this research problem, 135 people were analyzed through the structured questionnaire using the AR and VR content fitness measure and the second APT laddering, and the use of VR-AR : 1) Functional benefits; 2) Psychological benefits; 3) Means to reach value, 4) Objective value chain structure was identified. The results show that VR users tried to smooth the social life through the new virtual reality audiovisual element, the newness of experience, fun, and pleasure through the departure of reality, vividness of experience, and leading fashion. The AR fitness was a game and a new program, and the value of interacting with other people and the value of 'periwinkle' played an important role through the vividness and peripheral interaction of AR, It was an important choice. The important basic values of users' VR and AR selection were correlated with psychological attributes of interaction with others, achievement, happiness and favorable values.

• Health Policy and Management
• /
• v.10 no.3
• /
• pp.108-128
• /
• 2000

The Korean government has implemented the policy for merging 141 health insurers into Korean Unified Health Insurer (KUHI) in July of 2000. The unification of multiple insurers will definitely effect the stability of financial management, equity of premium burdens and efficiency of administrative management. However, it is difficult to predict what forms the far-reaching effects of the unification would take. Thus, pursuing the unification may be express as a huge policy experiment. In order to lead the unification, which lies on a crossroad between success and failure, to the road of success, we need to infer the problems and obstacles predicted in the step-wise processes of merging organizations, finances and the systems of computing premium, and come up with the effective means to maintain the stability of financial management, to improve the equity of premium burdens and to increase the efficiency of administrative management. Thus, I first described the changes of the Korean medical insurance system, and analyzed the performances of self-employed medical insurance 1 year after the integration of societies in October of 1998. At the base of examining the stability of financial management, equity of premium burdens and efficiency of administrative management, I predicted the problems and obstacles that could occur after the unification of the multiple medical insurers, and proposed a few ways of leading the unification of the multiple medical insurers in Korea to success. The most worried factor is that insurance finance would become unstable since the expansion of premium revenues is not easy because raising the premium for all Koreans is to be difficult. In addition, the unification of insurance finance could weaken the insurer's efforts for declaring real incomes of the self-employed and increasing the collection rate of premiums from them. This weakening would be the decisive factor of lowering the equity of premium contributions between the self-employed and employees. And bureaucratization and rigidity that are unavoidable in a gigantic unified organization could lower the efficiency of administrative management. Furthermore, by having 3 labor unions in the unified organization, it is possible to experience frequent difficulties and discords among the unions and between the unions and organization. Thus, when smooth pursuing of the unification of multiple insurers gets difficult, the social expenses derived from the failure would eventually end up on all Koreans. The unification is to be performed after coming up with the ways to eradicate these worries, so that the unification of multiple insurers would step onto the road of success.