2016, Vol.11, No.4

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

This study aims to propose an objective analysis method for significant symptoms combination applicable to vast amount of data including big data or clinical data instantly generated in real time, as a substitute for methods based on TKM experts' analysis. A mathematical method based on null hypotheses was used for analyzing relative multi frequency symptom-treatment combinations. These results were used for comparison with TKM experts' analysis on significant symptom-treatment combinations. Based on the correspondence of comparison of the two, for certain purposes relative multi frequency combinations may be considered and used as significant combinations. Therefore, the use of the mathematical method based on null hypotheses for analysing relative multi frequency combinations on text based combinations was appropriate. This method was applied to treatment related formula from Donguibogam and resulted in 39 combinations of significant symptom-symptom, symptom→condition, condition→symptom combinations. This study has some limitations using data only from pain treatment formula. Nevertheless, this limitation may be solved and lead to extended research using various sources of data. Combinations that were not applicable to the hypothesis "Combinations with frequent appearance in certain study subjects are more significant than combinations that are not" were not found. Also, combinations with relatively low frequency in appearance but was significant in result were not found. The limitations of this study requires further research to verify the hypothesis and analysis for combinations that cannot be covered by the hypothesis.

Recently, cloud file system is distributed in the cluster storage media files to the specified size. By the way, media streaming method has been widely used for MPEG-DASH protocol or HTTP Live Streaming protocol because there are many mobile devices of a low performance system. The media file encoded with MPEG-DASH protocol or HTTP Live Streaming protocol system is divided into a segmented media files. Cloud file system stores by distributing a segmented media file to the cluster. Thereafter, the clients will request the playback of the segmented media files. Then the server reads its role as a gateway files stored on a cluster. And the gateway server provides the segmented media files to the clients. This way is the same as how to provide a single media file in server storage. The bottleneck of network traffic occurs on the gateway server. In this paper, we implemented a segmented media files distributed file system proposed in previous research. And check the stability of the segmented media files distributed file system. The method to establish a test device configuration and testing process. Then measure the network traffic of each of the clusters. The result confirm the stability of the segmented media files distributed file system.

Smart society with convergences of technology and production comes, innovations of technology and production are expected to prevail everywhere. Also, a modern society is in a age of 'Internet of Things(IOT) and ‘Internet of Everything(IOE)’, which exchanges information among objects, via Internet, and it is expectable that the field of Internet of Things(IOT) will become a new-growth engine industry. However, as the interconnections among things are expanded, security threats are expected to be increased highly. Also, as the number of devices that require security increases and as the devices are enlarging their field to lightweight, low-power, hyper-connected and etc, the device-security technologies customized for each of the devices are needed in this stage. In this paper, I consider to Security Threat three part of Industry fields, Devices, Network and Flatform/Service. Therefore, by analyzing the security requirements for Internet of Things(IOT) in this thesis, the analysis is expected to be utilized for the countermeasures against security threats that can attack Internet of Things(IOT) in future. And as the expanded to Internet of Everything(IOE), the new security threat to security requirements that can respond to the threat analysis and developing technology are constantly will made to future.