• International Journal of Internet, Broadcasting and Communication
• /
• v.7 no.1
• /
• pp.66-69
• /
• 2015

Recently with the development of IT technology, the medical technology have been developed in various ways. Among them, WBAN can check the state of the patient in real time. However, the data generated by these techniques have a problem that they have heterogeneous properties depending on the type of sensors and devices. In this paper, we proposed a method using meta repository as a way to provide the sensing data of WBAN for the health care system by integrating along the HL7 standard item.

• International journal of advanced smart convergence
• /
• v.9 no.4
• /
• pp.106-114
• /
• 2020

As information and communication technology develops, it brings various benefits to our lives. However, information and communication technology has had various side effects in our lives. Representative side effects include internet addiction, smartphone addiction, copyright violation, personal information infringement, cyber bullying and hacking. Recently, smart phone addiction rate is increasing with the spread of smart devices in Korea. In this study, we analyze the correlation between age group and smartphone addiction. In order to obtain fair and objective results, statistical analysis was performed based on the national statistical data of the National Information Society Agency. The results showed that the infant group and the adult group were correlated with the smartphone addiction rate. In this study, we analyzed the causes of smartphone addiction for different age groups. We also discuss dangers of smartphone addiction for different age groups. In additions, we proposed various ways to prevent and cure smartphone addiction for infants, adults, and senior citizen group. The results of this study are expected to be widely used as a remedy for smartphone addiction and future smartphone addiction research works.

• Journal of the Korea Computer Industry Society
• /
• v.5 no.9
• /
• pp.903-910
• /
• 2004

From the learner competency-based education, the necessity of the learner-oriented education and the mutual cooperation among the leamers has been increased. An internship-based education system will achieve a progressive development in understanding and the competency for the job to be performed by the mutual interactions between the leamers and between the learners and the lecturer. This paper presents the project-based learning system in order to facilitate and achieve the goals of the industrial business processing system implementations in the ongoing popular Internet environments. In the proposed internship-based system, the lecturer presents a problem to be solved and leads the education as a supervisor.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.20 no.2
• /
• pp.171-178
• /
• 2020

Many countries are establishing and operating blended learning that combines the advantages of online and offline education. However, online education lecture-based Mooc courses have a very low level, with a graduation rate of less than 5-10%. Therefore, in order to increase the graduation rate of students taking online Mooc distance education lectures that anyone can easily take lectures anytime, anywhere on the web-based basis, it is necessary to introduce automatic analysis of students' understanding level of lectures and an automatic academic warning system. Moreover, in order to enter an advanced education country, it is necessary to develop an automatic judgment SW for wrong answer rate, automatic summary SW for lectures, and automatic analysis SW education for lecture-based weak subjects based on mixed learning levels. In order to improve this problem, in this paper, we proposed and simulated an automatic summarization system for lecture contents, an automatic warning system for incorrect answers, and an automatic judgment algorithm for weak subjects.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.14 no.8
• /
• pp.3488-3500
• /
• 2020

At the present time, the economy continues to flourish, and private cars have become the means of choice for most people. Therefore, the license plate recognition technology has become an indispensable part of intelligent transportation, with research and application value. In recent years, the convolution neural network for image classification is an application of deep learning on image processing. This paper proposes a strategy to improve the YOLO model by studying the deep learning convolutional neural network (CNN) and related target detection methods, and combines the OpenCV and TensorFlow frameworks to achieve efficient recognition of license plate characters. The experimental results show that target detection method based on YOLO is beneficial to shorten the training process and achieve a good level of accuracy.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.3
• /
• pp.1083-1097
• /
• 2018

This paper presents a novel range-free localization algorithm based on quantum particle swarm optimization. The proposed algorithm is capable of estimating the distance between two non-neighboring sensors for multi-hop heterogeneous wireless sensor networks where all nodes' communication ranges are different. Firstly, we construct a new cumulative distribution function of expected hop progress for sensor nodes with different transmission capability. Then, the distance between any two nodes can be computed accurately and effectively by deriving the mathematical expectation of cumulative distribution function. Finally, quantum particle swarm optimization algorithm is used to improve the positioning accuracy. Simulation results show that the proposed algorithm is superior in the localization accuracy and efficiency when used in random and uniform placement of nodes for heterogeneous wireless sensor networks.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.8 no.6
• /
• pp.2152-2170
• /
• 2014

With advances in smart and ICT(information and communication technology) technologies, our life style has been changing dramatically. Now everybody can enjoy the benefits of such technologies in every aspect of his/her daily life. Currently more and more people are trying to have smart devices such as smart phones and tablet PCs so that smart devices become the bare necessities. New smart technologies have created a new concept called smart learning in education area. As educational smart contents become popular, we need quality standards for the contents. Those standards are essential for evaluating the smart contents and suggesting guidance for future smart contents production. Although there are some standards for the existing e-learning environments, to our best knowledge, there are no standards for educational smart contents in the literature. The purpose of this paper is to develop quality standards for educational smart contents. The proposed quality standards are based on the existing quality standards in e-learning environments and include some characteristics of smart learning. For development of quality standards, wide experts group from academy and industry are selected and surveyed. Their responses are analyzed based on thorough statistical analysis so that final quality standards for educational smart contents are developed.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.22 no.4
• /
• pp.195-201
• /
• 2022

For a efficient distance education environment, the need for correct problem recommendation guides considering the learner's exact learning pattern is increasing. In this paper, we study block chain based smart contract technology to suggest a method for presenting the optimal problem recommendation path for individual learners based on the data given by situational weights to the problem patterns of learners collected in the distance education environment. For the performance evaluation of this study, the learning satisfaction with the existing similar learning environment, the usefulness of the problem recommendation guide, and the learner data processing speed were analyzed. Through this study, it was confirmed that the learning satisfaction improved by more than 15% and the learning data processing speed was improved by more than 20% compared to the existing learning environment.

• Korean Journal of Childcare and Education
• /
• v.9 no.5
• /
• pp.437-460
• /
• 2013

The purpose of this study was to examine the image perceived by fathers of children with Internet addiction. To achieve the study purpose, we conducted depth interviews with ten fathers of children with Internet addiction who had been diagnosed as At-Risk through a face to face meeting. The reason for choosing face to face interviews was to listen to the subjective stories and descriptions from fathers about the kind of fathers they are, which are felt and experienced in real life. More specifically, we selected the depth-interview methods through structured questions and non-structured questions. The interviews were held for two or three hours through an individual meeting of ten fathers and data were collected in order to conduct a categorical analysis. The figures discovered from fathers of children were divided into four categories; the father figure who is indifferent to the Internet use of his child, the father figure depending only on education through the Internet, the father figure who is in a weaker point than the Internet and the father figure who is addicted to the Internet. Based on the study results, we suggested the desirable behaviors, which may be useful for both fathers and children with Internet addiction as well as a follow-up study.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.8 no.3
• /
• pp.924-944
• /
• 2014

This paper investigates the power allocation and outage performance of MIMO full-duplex relaying (MFDR), based on orthogonal space-time block codes (OSTBC), in cognitive radio systems. OSTBC transmission is used as a simple means to achieve multi-antenna diversity gain. Cognitive MFDR systems not only have the advantage of increasing spectral efficiency through spectrum sharing, but they can also extend coverage through the use of relays. In cognitive MFDR systems, the primary user experiences interference from the secondary source and relay simultaneously, owing to full duplexing. It is therefore necessary to optimize the transmission powers at the secondary source and relay. In this paper, we propose an optimal power allocation (OPA) scheme based on minimizing the outage probability in cognitive MFDR systems. We also analyse the outage probability of the secondary user in noise-limited and interference-limited environments in Nakagami-m fading channels. Simulation results show that the proposed schemes achieve performance improvements in terms of reducing outage probability.