2014, Vol.9, No.3

Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

pISSN : 1975-7700 / eISSN : 2734-0570
https://journal.kci.go.kr/kkits

Reading the RFID/NFC tag installed in the relevant facility or recognizing the Barcode/QRcode by use of the camera, one can connect to the relevant facility management URL using the URL information saved in the tag/code as a facility managing method. However, since the fault reception screens for the existing facility management are complex and the reception method is difficult, the confusion can increase in the reception when reporting the accident. And it can be difficult to approach to the relevant facility or hard to accept the damage of tag. This paper suggests the pipe-network components customized status input system in the cloud environment for the fault acceptance and report to be possible through easy one-click by providing the list of faults that can occur in each facility by the customized screen.

The purpose of the study was to understand the educational role of an educational social network service (SNS) in eLearning environments. A quasi-experimental research was conducted with forty valid college-students who took an eLearning class using an educational SNS that developed by K University in Korea. To address research questions, numbers of postings and replies were compared according to the learning styles of the leaner (independent, avoidant, collaborative, dependant, and competitive) and the feedback types of the instructor (reinforcement and corrective). Also, learning contexts were analyzed by Content Analysis method. As a result, more effective strategies of reinforcement and corrective feedbacks were needed. Also, students used SNSs for studying learning contents, confirming classroom schedules, encouraging participation and learning, and showing intimate friendship. Based on the results, suggestions were made including the necessity of providing more systematic feedbacks, leading optimal learning activities based on analyzing learning styles, and synthetic development of instructional strategies for learning effectiveness.

Efficient and accurate discovery of Cow’s estrus makes breeding rate to higher, and very important to maintain the profitability, but in the farm be devoted to in order to improve estrus detection rate, but this does not significantly improved. Recently sensor network technology is perched as an important technical factor of a variety of devices to exchange of information. The sensor networking is applied to the farm for the massive movements of cows to gather information, the information collected based on the analysis of the estrus behavior patterns can used to efficiently improve cow estrus detection rate. In this paper, to transmit and receive a lot of information at a high speed on the low-speed ZigBee used in the sensor network, separated the ZigBee's band to 16 channels in order to use. The effectiveness of the channel separated transmission can be tested, confirmed at the actual farm through experimentation.