본 연구에서는 모바일 환경에서의 스마트 디바이스를 통한 콘텐츠 및 저작물 등을 감상하는 시대가 되었지만, 저작권 보호와 이에 따른 기술적 조치는 상대적으로 미흡한 현 시장 환경에서 국내 스마트 디바이스 산업 현황에 대한 정량적 연구를 기반으로 하여 IoT 디바이스 시장에서 저작권 기술에 대한 프레임워크를 제시하고자 하며, 최적의 자원효율적인 저 작권 기술 프로세스에 대한 제안과 더불어 핵심 기술로의 활용 전망과 저작권 기술의 구동에 대한 기대성과를 제시하고자 한다.

The robot in this paper combines the suction and aerodynamic attraction to achieve good balance between strong adhesion force and high mobility. Experimental results showed that the robot can move upward on the wall at the speed of 2.9m/min and carry 5kg payload in addition to 2.5kg self-weight, which record the highest payload capacity among climbing robots of similar size. With two 11.1V lithium-polymer battery, the robot can operate continuously for half hours. A wireless camera system, zigbee protocol module and several sensors was adopted for detecting dangerous situation on the wall and for sending alarm signals to remote sensor node or controller based on the color normalization and image segmentation technique.

The existing PKI authentication structure uses the OCSP method. The primary task of OCSP is to verify the status of a transaction after verifying the validity of the certificate; but, because of continuing policy changes and updates within the PKI authentication method, the status of certificates and the structures are not consistent. Therefore, the SCVP method can be selected as the broadest method for completing authentication tasks accurately because the SCVP method includes validation of policy changes. An appropriate method for building an mobile environment within the capabilities of low-memory and reduced processing CPU needs to be assessed and developed. This thesis proposes a verification method that is independent of platform and applicable to any 05 in building and expanding the mobile environment.

Autonomous mobile robots based on the Web have been already used in public places such as museums. There are many kinds of problems to be solved because of the limitation of Web and the dynamically changing environment. We present a methodology for intelligent mobile robot that demonstrates a certain degree of autonomy in navigation applications. In this paper, we focus on a mobile robot navigator equipped with neuro-fuzzy controller which perceives the environment, make decisions, and take actions. The neuro-fuzzy controller equipped with collision avoidance behavior and target trace behavior enables the mobile robot to navigate in dynamic environment from the start location to goal location. Most telerobotics system workable on the Web have used standard Internet techniques such as HTTP, CGI and Scripting languages. However, for mobile robot navigations, these tools have significant limitations. In our study, C# and ASP.NET are used for both the client and the server side programs because of their interactivity and quick responsibility. Two kinds of simulations are performed to verify our proposed method. Our approach is verified through computer simulations of collision avoidance and target trace.

In this paper, we implemented a safety navigation mobile application that converged AtoN information and location-based services. When application user uses the smartphone’s GPS sensor to transmit the user’s vessel location data to the data server, the user receives information of which its providing range is considered, such as stored AtoN data, neighboring vessels information, danger area, and weather information in the server. Providing information is sorted based on the smartphone’s direction and inclination and it will be also delivered via wireless network (5G, LTE, 3G, WiFi). Additionally the application is available to implement other functions such as information provision through voice and text alarming service when the user’s vessel is either approaching or entering the danger area, and an expanded information provision service that is available in shadow area linking with data-storing methods; other linkable data such as weather and other neighboring vessels will be applied based on the lasted-saved data perceived from the non-shadow area.

One of the main problems of topological localization in a real indoor environment is variations in the environment caused by dynamic objects and changes in illumination. Another problem arises from the sense of topological localization itself. Thus, a robot must be able to recognize observations at slightly different positions and angles within a certain topological location as identical in terms of topological localization. In this paper, a possible solution to these problems is addressed in the domain of global topological localization for mobile robots, in which environments are represented by their visual appearance. Our approach is formulated on the basis of a probabilistic model called the Bayes filter. Here, marginalization of dynamics in the environment, marginalization of viewpoint changes in a topological location, and fusion of multiple visual features are employed to measure observations reliably, and action-based view transition model and action-associated topological map are used to predict the next state. We performed experiments to demonstrate the validity of our proposed approach among several standard approaches in the field of topological localization. The results clearly demonstrated the value of our approach.

This paper describes a new method for indoor environment mapping and localization with stereo camera. For environmental modeling, we directly use the depth and color information in image pixels as visual features. Furthermore, only the depth and color information at horizontal centerline in image is used, where optical axis passes through. The usefulness of this method is that we can easily build a measure between modeling and sensing data only on the horizontal centerline. That is because vertical working volume between model and sensing data can be changed according to robot motion. Therefore, we can build a map about indoor environment as compact and efficient representation. Also, based on such nodes and sensing data, we suggest a method for estimating mobile robot positioning with random sampling stochastic algorithm. With basic real experiments, we show that the proposed method can be an effective visual navigation algorithm.

The Mobile robots are increasingly being used to perform tasks in unknown environments. The potential of robots to undertake such tasks lies in their ability to intelligently and efficiently search in an environment. An algorithm has been developed for robots which explore the environment to measure the physical properties (dust in this paper). While the robot is moving, it measures the amount of dust and registers the value in the corresponding grid cell. The robot moves from local maximum to local minimum, then to another local maximum, and repeats. To reach the local maximum or minimum, simple gradient following is used. Robust estimation of the gradient using perturbation/correlation, which is very effective when analytical solution is not available, is described. By introducing the probability of each grid cell, and considering the probability distribution, the robot doesn’t have to visit all the grid cells in the environment still providing fast and efficient sensing. The extended algorithm to coordinate multiple robots is presented with simulation results.

최근 모바일 산업의 급증으로 소비자들의 여가시간 활용이 PC게임에 국한되었으나 요즘에는 무선이동통신의 발달로 휴대폰으로도 다양하고 개성화된 게임을 즐기게 되었다. 이에 본 논문에서는 모바일 게임에 대한 정보 제공과 전략적인 기술을 바탕으로 게임의 효과의 관계에 대해 실증적으로 적용하는 방법을 제시하고자 한다.