2013, Vol.8, No.5

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

Recently, It was not sufficiently prepared a realistic ways for the effect measurement of digital media advertising due to the lack of concepts or platforms for new media advertising and advertising standardization. This is the biggest problem. The advertising effective measurement system technique uses the camera which attaches in TV and It measures and manages watching behavior recognition information about broadcasting/advertisement contents. Also it analyzes the information which are collected for advertizer or advertisement vicarious execution company in effective index. and it provides the program rating and advertisement effective measurement and analytical results which are accurate and various. In this paper, we proposed the structure, function and service model of the effect measurement system of smart media for building the smart broadcast advertising effectiveness measurement system. In particular, We tried to present the advertising effect measurement system for effect measurement data collection and analysis based on watching behavior in the smart media environment of being activated from the convergence field of broadcasting and communication.

Lectures differentiation at universities have focused on that to be able to understand the basic concepts, to interpret the problem differentiation method given in symbols or sentences. The purpose of this thesis is studying an efficient teaching method for differentiation using Maple. Maple was utilized to explain the concept of differentiation and to express various differentiation. And we treat differentiation of functions including trigonometric functions. In this paper, differentiation in learning and learner information, learning as the acquisition of a simple algorithm, mathematical explore ways to take advantage of the opportunities presented.

Since the smart device hardware related technology has been rapidly developed and it can provide fast processing speed recently, the interest of real-time representation for 3D deformable objects has been focused in various fields of developing applications for smart device. To present the method for implementation of robust and fast dynamic simulations based on iPhone 5, this paper analysis the possible representation number of deformable objects and complexity of objects which can be computed in real-time by test of various 3D deformable objects. The implemented physically-based FFD-AABB algorithm utilized the 2-level bounding sphere based approach provides fast collision detection and handling using the shape analysis of 3D deformable objects. In addition, to evaluate the performance of implemented algorithm we perform the free falling simulation test from the predefined height with various shapes of 3D deformable objects. Therefore, this paper presents the 2-level bounding sphere based modeling of objects using the shape analysis for fast collision detection and provides the guideline of 3D deformable object modeling for real-time simulation with iPhone 5.