• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.18 no.1
• /
• pp.173-183
• /
• 2018

It is a very difficult task to establish a collaborative procedure in a new business that requires multilateral collaboration or to revise the regulation by analyzing and proving objectively the problems in the collaborative process conducted already by multilateral collaboration. In this paper, we proposed an optimization model for collaborative process to establish the operation procedure between collaborative parties using PERT/CPM network diagram which allows us to calculate the processing time. In order to verify the effectiveness and usefulness of our model for the collaboration process optimization developed in this study, we applied the developed collaborative procedure to student selection of the work-and-study-in-parallel course associated with a degree executed by Ministry of Employment and Labor. This study can be useful not only for newly establishing or reconfiguring collaborative procedures but also for standardizing the business procedures for building information systems between collaborative organizations.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.6
• /
• pp.117-125
• /
• 2019

For successful EHR implementation, it is important to understand physicians's acceptance and attitude for EHR. This study aims to provide basic information for the overseas expansion of Korean EHR by studying Saudi Arabia's physicians' acceptance for the Korean EHR exported to Saudi Arabia. Except for physician autonomy and physician-patient relationship, Likert scales of physician involvement, adequate training, ease of use, usefulness, and attitude about EHR usage were over 3.5 points, which are relatively high. The Physicians' experience of Korean EHR may have influenced the EHR acceptance score. Based on the positive research results of this study, we can say that Korean EHR can be competitive in the overseas EHR business.

• International Journal of Internet, Broadcasting and Communication
• /
• v.10 no.1
• /
• pp.31-39
• /
• 2018

The purpose of this study was to examine the meaning and structure of nurses' computer using experience. To do this, we conducted a total of three interviews with 11 nurses working between the ages of 26 and 48. Interview data were interpreted using Giori method (1985) and Lincoln & Guba method (1985). As a result, 112 semantic units were derived, and then 18 sub-components were divided into 5 final components. As a result of the analysis, the computer experience that the nurses used in the hospital consisted of 'used for almost every task', 'usefulness', 'important', 'convenience', 'burden', 'anxiety', desire', simple work level', 'no problems', 'eye, muscle and movement discomfort', 'depends on task', 'more complex', 'accuracy', 'organize contents', 'simple', 'incomparable', and 'easy'. Based on the above conclusions, the nurses' experiences of using the computer in the hospital could be concluded as follows. Currently, almost all nursing jobs in hospitals are using computers. However, most of the tasks related to simple computer tasks related to the ability to use the computer was low, and because of this, the computer did not work properly, or when new programs were introduced to feel the burden and anxiety, want more systematic computer education Found. Especially, according to the career, the difference between computer and hand work was different, Nurses over 20 years said that computers can handle simple tasks that are a bit more complicated than manual tasks, whereas emotional tasks were handicapped, in the 10 to 20 years of experience, computer work was more accurate and appropriate to organize content, Nurses under 10 years were not only easy to work with computers but also have no experience in manual work, they could not compare the computer and the hand work. This study suggests that the use of computers in nurses' work is essential and that more systematic computer-based education should be provided. In addition, due to the nature of the nursing service, the professional opinions of the nurses should be reflected in the development of programs for the emotional nursing work.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.13 no.2
• /
• pp.15-23
• /
• 2013

In this paper, we propose a session management and control architecture for N-Screen services, which enable users to change devices and transfer contents among user's devices during service by session transfer and split. In N-Screen services, users may have multiple devices with different attribute such as screen resolution, CPU capability and access network interfaces. Also, since users may change devices during service, or one user may use multiple stream, N-Screen services need to enable the user to share and transfer contents across N-Screen devices. We introduce the management and control servers to provide session split over user multiple devices and session continuity while changing device. Furthermore, the proposed architecture provides the device capabilities aware session continuity. In addition, the proposed scheme minimizes the session transfer delay and content server processing load. We present results that show the effectiveness and usefulness of proposed architecture.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.17 no.3
• /
• pp.243-258
• /
• 2017

Recently, Due to advances in smart-phones and mobile devices, the use of SNS is increasing in recent years. Online networking is building new paradigms in terms of creating personal needs. Along with the nature of mobile devices, it is expected to have a lot of impact on SNS service participation. The study focused on the effect of SNS on SNS participation and ease of use of social characteristics and ease of use of SNS. A survey was conducted on a survey of SNS users and analyzed the data through the structural equations. The study found that the study of social networking was statistically significant in terms of the intent of identifying the usefulness of SNS and ease of use and ease of use.

• Journal of Internet Computing and Services
• /
• v.13 no.5
• /
• pp.1-8
• /
• 2012

In this paper, we propose a new clustering combination based on numerical data driven for rule generation mechanism. In large and complicated space, a clustering method can obtain limited performance results. To overcome the single clustering method problem, hybrid combined methods can solve problem to divided simple cluster estimation. Fundamental structure of the proposed method is combined by mountain clustering and modified Chen clustering to extract detail cluster information in complicated data distribution of non-parametric space. It has automatic rule generation ability with advanced density based operation when intelligent systems including neural networks and fuzzy inference systems can be generated by clustering results. Also, results of the mechanism will be served to information of decision support system to infer the useful knowledge. It can extend to healthcare and medical decision support system to help experts or specialists. We show and explain the usefulness of the proposed method using simulation and results.

• Journal of Internet Computing and Services
• /
• v.15 no.6
• /
• pp.65-75
• /
• 2014

The main focus of this paper is to analyze trend of event informations in a variety of mass media by graphical visualization in axis of the time and location. Especially, continuity analysis based on user-generated social media can reflect the social impact of a certain event according to change time and location and their directional changes. To reveal the characteristics of continuous events, we survey the data set collected from news articles and tweets during two years. Based on case studies on 'disease' and 'leisure', we verify the effectiveness and usefulness of our proposed method. Even though some events occurred during same period, we showed directional changes which have high-impact in social media referred user interest's, compared with fact-based continuous visualization results.

• Journal of Internet Computing and Services
• /
• v.22 no.5
• /
• pp.79-86
• /
• 2021

As the usefulness of big data analysis has been drawing attention, many studies in the business research area begin to use big data to predict firm performance. Previous studies mainly rely on data outside of the firm through news articles and social media platforms. The voices within the firm in the form of employee satisfaction or evaluation of the strength and weakness of the firm can potentially affect firm value. However, there is insufficient evidence that online employee reviews are valid to predict firm value because the data is relatively difficult to obtain. To fill this gap, from 2014 to 2019, we employed 97,216 reviews collected by JobPlanet, an online firm review website in Korea, and developed a machine learning-based predictive model. Among the proposed models, the LSTM-based model showed the highest accuracy at 73.2%, and the MAE showed the lowest error at 0.359. We expect that this study can be a useful case in the field of firm value prediction on domestic companies.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.21 no.2
• /
• pp.117-124
• /
• 2021

This study is a study to recognize hand movements using a neural network for wrist rehabilitation. The rehabilitation of the hand aims to restore the function of the injured hand to the maximum and enable daily life, occupation, and hobby. It is common for a physical therapist, an occupational therapist, and a security tool maker to form a team and approach a doctor for a hand rehabilitation. However, it is very inefficient economically and temporally to find a place for treatment. In order to solve this problem, in this study, patients directly use smart devices to perform rehabilitation treatment. Using this will be very helpful in terms of cost and time. In this study, a wrist rehabilitation dataset was created by collecting data on 4 types of rehabilitation exercises from 10 persons. Hand gesture recognition was constructed using a neural network. As a result, the accuracy of 93% was obtained, and the usefulness of this system was verified.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.7
• /
• pp.2455-2475
• /
• 2021

Patient Navigation Program (PNP) is considered as an important implementation of health care systems that can assist in patient's treatment. Due to the feasibility of PNP implementation, a systematic reuse is needed for a wide adoption of PNP computerized system. SPL is one of the promising systematic reuse approaches for creating a reusable architecture to enabled reuse in several similar applications of PNP systems which has its own variations with other applications. However, stakeholder decision making which result from the imprecise, uncertain, and subjective nature of architecture selection based on quality attributes (QA) further hinders the development of the product line architecture. Therefore, this study aims to propose a quality-driven approach using Multi-Criteria Decision Analysis (MCDA) techniques for Software Product Line Architecture (SPLA) to have an objective selection based on the QA of stakeholders in the domain of PNP. There are two steps proposed to this approach. First, a clear representation of quality is proposed by extending feature model (FM) with QA feature to determine the QA in the early phase of architecture selection. Second, MCDA techniques were applied for architecture selection based on objective preference for certain QA in the domain of PNP. The result of the proposed approach is the implementation of the PNP system with SPLA that had been selected using MCDA techniques. Evaluation for the approach is done by checking the approach's applicability in a case study and stakeholder validation. Evaluation on ease of use and usefulness of the approach with selected stakeholders have shown positive responses. The evaluation results proved that the proposed approach assisted in the implementation of PNP systems.