Mokwon University

About: Mokwon University is a education organization based out in Daejeon, South Korea. It is known for research contribution in the topics: Adipose tissue & Wireless sensor network. The organization has 466 authors who have published 1137 publications receiving 10776 citations.

University Students' Behavioral Intention to Use Mobile Learning: Evaluating the Technology Acceptance Model.

Abstract: As many Korean universities have recommended the implementation of mobile learning (m-learning) for various reasons, the number of such tertiary learning opportunities has steadily grown. However, little research has investigated the factors affecting university students' adoption and use of m-learning. A sample of 288 Konkuk university students participated in the research. The process by which students adopt m-learning was explained using structural equation modeling technique and the Linear Structural Relationship (LISREL) program. The general structural model based on the technology acceptance model included m-learning self-efficacy, relevance for students' major (MR), system accessibility, subjective norm (SN), perceived usefulness, perceived ease of use, attitude (AT), and behavioral intention to use m-learning. The study results confirmed the acceptability of the model to explain students' acceptance of m-learning. M-learning AT was the most important construct in explaining the causal process in the model, followed by students' MR and SN. [ABSTRACT FROM AUTHOR]

Robust anonymous authentication protocol for health-care applications using wireless medical sensor networks

Abstract: With the fast development of wireless communication technologies and semiconductor technologies, the wireless sensor network (WSN) has been widely used in many applications As an application of the WSN, the wireless medical sensor network (WMSN) could improve health-care quality and has become important in the modern medical system In the WMSN, physiological data are collected by sensors deployed in the patient's body and sent to health professionals' mobile devices through wireless communication Then health professionals could get the status of the patient anywhere and anytime The data collected by sensors are very sensitive and important The leakage of them could compromise the patient's privacy and their malicious modification could harm the patient's health Therefore, both security and privacy are two important issues in WMSNs Recently, Kumar et al proposed an efficient authentication protocol for health-care applications using WMSNs and claimed that it could withstand various attacks However, we find that their protocol is vulnerable to the off-line password guessing attack and the privileged insider attack We also point out that their protocol cannot provide user anonymity In this paper, we will propose a robust anonymous authentication protocol for health-care applications using WMSNs Compared with Kumar et al's protocol, the proposed protocol has strong security and computational efficiency Therefore, it is more suitable for health-care applications using WMSNs