2017, Vol.12, No.6

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

In this paper, we experimented the validity of our solar powered shooting system working even at power cut environment. Our new photographing system was composed by the rules of electric power consumption of components devices. To choose a appropriate device, we measured the electric current values of each individual device using the digital power analyzer. Our proposed shooting system was designed to suit the purpose of recording construction building process. The system could operate successfully without normal electric supply thanks to solar energy generating module. The shooting section of our system is composed of DSLR camera module, control computer and wireless communication module. We applied interval shooting method to reduce the electric consumption in our system. Since the period of construction projects would be long time, it is generally known that time-lapse photographing is exactly appropriate to record the construction process. in experiments, we could find that the consumption of an industrial computer installed to control DSLR(Digital Single Lens Reflex) camera and wireless modem was the greatest in comparison with the other devices. The relative consumption ratio was about 45%. On contrast, the camera module consumed 8.5 Watt and the modem device consumed 5.5 Watt. After the measurement of each component, we examined the entire consumption of our new system. In conclusion, we could confirmed that our proposed system was able to work within 300 watt solar power a day. Also, we could achieve 7.64% energy reduction effect using our new algorithm with varing shooting intervals.

In recent, there is a rising interest on self-presentation based on personal color, a color that matches an individuals’ physical attributes, with an increased emphasis on individuals’ personalities. Nevertheless, it is inconvenient for the individuals to determine their own personal colors accurately, since conventional personal color diagnosis procedures highly depends on various instruments and subjective judgment. In order to address this problem, this paper aims to develop an intelligent personal color diagnosis system that allows the individuals to identify their personal colors by themselves. The proposed system maintains the face images of celebrities with known personal colors, and the personal color of an user is determined by applying the diagnosis model based on the personal color data of celebrities. In this paper, the diagnosis model for the proposed system is constructed by applying the conventional classification techniques such as decision tree, nearest neighbor classifier and naive Bayesian classifier to the face image data of 100 celebrities, and the consequent model is applied to 20 female undergraduates with known personal color identified through visiting professional consultants. The experiment results demonstrate that the proposed system has the promising diagnosis ability so that it can replace the human experts. Moreover, it is expected that the system not only allows the individuals to identify their personal color conveniently, but also enables advanced services based on personal color.

Selecting user's interest information in massive contents provided to users of various web services and mobile services gives fatigue to users and lowers efficiency. The personalized service can provide the user with the information of interest, but the existing method of providing the information of interest is not intuitive to the user and the utilization is not high because it provides the uniformized information of the character form. In this paper, we propose a visualization architecture and process of personalization service that can provide users with intuitive information of interest. We propose an Online Data Collector, an Offline Data Collector, a Personalization Service and a R Adapter for each component of the architecture for personalization service visualization. It also defines the sequential processing of the components within the architecture. It collects and analyzes user's interest data on-line and off-line, visualizes it through R language, and provides it to web service and mobile service. In the case study, we verify the suitability of the proposed architecture and the processing process by collect, analysis, and visualize interest information that is transmitted between offline beacon sensors and mobile device users. Through the visualization service proposed in this paper, users can receive intuitive personalization services and service providers can provide effective services.