2017, Vol.12, No.1

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 paper presents the model of realizing requirement to ensure the QCD(Quality Cost Delivery) of medical software during the development cycle. In many cases, customer needs are likely to change in the process of carrying out projects. When medical software is released to customers without the needs to be reflected, many more defects can be found when the software is actually used in the medical field. The defects are fatal in the medical domain. To solve these problems, GQM(Goal Question Metric) methodology is used. With this methodology, goals are set, questionnaires are devised, and review of domain expert is sought. In addition, requirements are extracted and defined. And then, test cases are finally completed based on the requirements. The test cases made through these processes are quantitatively prioritized by using the AHP(Analytic Hierarchy Process) methodology. Once the priority is determined, the test case is configured in order to determine how the test case has been carried out in accordance with the number of test cases. It is possible to digitize the quality of software before it is delivered to the customers to see whether enough tests are officially performed for the project. Using this TQM, it is expected that the level of software quality is determined while the project is being carried out, instead of evaluating the software at the end of the project.

In this study, to observe the effect of olfactory fragrance stimuli on physiological change due to auditory stimuli by frequency, EEG test and ECG were conducted. As auditory stimuli by frequency, car horn(473Hz), ambulance siren(1,653Hz), and symphony(308Hz) of with about 85dB were presented in the conditions of no fragrance and Lavender fragrance for about 5 minutes. As for analysis method, two-way ANOVA based on olfactory fragrance stimuli and auditory stimuli was implemented. As a result of analysis, when interaction was observed in olfactory fragrance stimuli and auditory stimuli, one-way ANOVA about olfactory stimuli on the auditory stimuli was conducted. As a result of analysis, in α-wave, compared with control condition, Lavender fragrance increased, showing a significant difference(p<0.01) in siren. In LF, compared with control condition, Lavender fragrance increased, showing a significant difference(p<0.01), and compared with control condition and symphony, horn and siren increased, showing a significant difference(p<0.01). In HF, compared with no fragrance, Lavender fragrance increased, showing a significant difference(p<0.01) in control condition, symphony, and siren except for horn. In LF/HF ratio, compared with no fragrance, Lavender fragrance decreased, showing a significant difference(p<0.01) in horn condition, however, compared with no fragrance, it increased, showing a significant difference(p<0.01) in siren condition. In conclusion, it is considered that Lavender fragrance works positively and negatively, depending on the kinds of auditory stimuli.

In generally, time-lapse Images contains severe shaking phenomena according to the long time shooting period. Time-lapse videos were composed of multitude shooting image list and easily contained several shooting noise. The image shaking problems are based on the trembling movement of the camera supporting pore, strong wind, and so on. In this paper, we proposed a new image processing algorithm to solve the shaking problems of time-lapse video. Our algorithm is designed based on simple computation logic and comparison rules. For the reasons, our proposed algorithm is particularly appropriate for time-lapse photography. The algorithm was consisted of three steps. In the first step, we classified the image shaking type obtained from time-lapse video. In the second step, we computed the shaking degree values of input image list. Last, we reformed the all frames of time-lapse video to the new one according to the computed shaking values of the previous steps. we installed a remote camera shooting system for the stabilization experimental of time-lapse video. In results, we could confirm that our proposed algorithm could correct the shaking problem of time-lapse video. And we could obtain the experimental data that our proposed program was more efficient for vertical movement transition and rotation movement of shooting images. In the time measuring simulation we can confirmed that our program is more applicable to the area of real-time timelapse video photography.