• Journal of Institute of Control, Robotics and Systems
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• v.20 no.10
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• pp.1067-1072
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• 2014

The ability to overcome obstacles is necessary for field robots for various applications including the ability to climb stairs. While much research has been performed focusing on overcoming obstacles, the resulting robots do not have sufficient ability to overcome obstacles such as stairs. In this research, the purpose is to overcome relatively large obstacles by flipping locomotion through the modification of the stair climbing robotic platform of the previous research. We propose two scenarios to overcome large obstacles: a rear wheel driving system and an elevation system using a ball screw. The research is performed based on static analyses on obstacle-climbing. As the simulation results indicate, we determined the optimal posture of the robot for climbing obstacles for rear wheel driving. Also, an elevation system is analyzed for obstacle climbing. Between the two scenarios an elevation system is determined to reduce the operating torque of the actuator, and the prototype was recently assembled. The climbing ability of the robotic platform is verified. We expect the application area for this robotic platform will be in accident areas of nuclear power plants.

• International Journal of Aeronautical and Space Sciences
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• v.9 no.2
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• pp.121-128
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• 2008

Modularized GPS software defined radio (SDR) has many advantages of applying and modifying algorithm. Hardware based GPS receiver uses many hardware parts (such as RF front, correlators, CPU and other peripherals) that process tracked signal and navigation data to calculate user position, while SDR uses software modules, which run on general purpose CPU platform or embedded DSP. SDR does not have to change hardware part and is not limited by hardware capability when new processing algorithm is applied. The weakness of SDR is that software correlation takes lots of processing time. However, in these days the evolution of processing power of MPU and DSP leads the competitiveness of SDR against the hardware GPS receiver. This paper shows a study of modulization of GPS software platform and it presents development of the GNSS software platform using MATLAB Simulink™. We focus on post processing SDR platform which is usually adapted in research area. The main functions of SDR are GPS signal acquisition, signal tracking, decoding navigation data and calculating stand alone user position from stored data that was down converted and sampled intermediate frequency (IF) data. Each module of SDR platform is categorized by function for applicability for applying for other frequency and GPS signal easily. The developed software platform is tested using stored data which is down-converted and sampled IF data file. The test results present that the software platform calculates user position properly.

• The Journal of the Korea Contents Association
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• v.14 no.9
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• pp.411-427
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• 2014

The interest on the Open Source Software(OSS) has been increasing as the Microsoft's latest Windows XP support ended. In this light trend, this study can contribute to the OSS marketing area. Specifically, it examined that the activation of online brand community about the OSS can affect to prosumer marketing of the OSS utilizing social media platform. In addition, the OSS social media platform users' loyalty for the OSS was investigated. The findings show that content, consumer support, UI, and reward among the activate factors of online brand community significantly affected to the activation of OSS social media platform. The brand reputation, however, was found insignificant to the activation of OSS social media platform. In addition, the activation of OSS social media platform can positively affect to their loyalty for the OSS. It means that participation to the social media activities about OSS and interaction with others in the network can help to form positive attitude for the OSS. In conclusion, the prosumer marketing utilizing social platform can be an important strategy as a new solution of the OSS business in the rapidly changing ICT ecosystem environment.

• Proceedings of the IEEK Conference
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• 2004.08c
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• pp.735-738
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• 2004

In this experiment, we developed a ubiquitous computing platform that can analyze vibration and noise in wireless environment by wireless LAN and sensors. In order to utilize the COTS(Commercial Off The Shell) concept, we used a PDA that supports wireless LAN and serial communication as a main board. Following platform is used to measure the noise level of heavy construction equipments in a remote area.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.747-748
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• 2006

In this paper, we describe photonic sensor interface and driver program based on SOPC(System on a programmable chip) platform. This platform uses device that has ARM922T processor and APEX FPGA area on a chip. As for driver program development, three different methods are tried such as simple firmware, real-time OS based program and embedded Linux based program, and results are compared for SoC implementation.

• Journal of information and communication convergence engineering
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• v.3 no.1
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• pp.9-12
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• 2005

In this research, we developed a ubiquitous computing platform that can analyze the vibration and noise in wireless environment by wireless LAN and sensors. In order to utilize the COTS(Commercial Off The Shelf) concept, we used a PDA that supports wireless LAN and serial communication as a main board. Following platform is used to measure the noise level of heavy construction equipments in a remote area.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.21 no.9
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• pp.81-86
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• 2007

Electric utility companies have the responsibility of providing good electricity for their customers. They have introduced the DAS(Distribution Automation System) to automate the power distribution networks. DAS engineers require state-of-the-art applications, such as a way to actively manage the distribution system and gain economic benefits from a flexible DAS architectural design. The existing DAS is not capable of handling these needs. It requires operator intervention whenever feeder overloading is detected while operator error could cause the feeder overload area to be extended. It also utilizes a closed architecture and it is therefore difficult to meet the system migration and future enhancement requirements. This paper represents a web based, platform-independent, flexible DAS architectural design and active database application. Recent advanced Internet technologies are fully utilized in this new DAS architecture allowing it to meet the system migration and future enhancement requirements. By using an active database, the DAS can minimize the feeder overloading area in the distribution system without operator intervention, thereby minimizing mistakes due to operator error.

• Proceedings of the Korean Society of Computer Information Conference
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• 2008.06a
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• pp.263-268
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• 2008

고도의 정보 사회로의 빠른 변화는 통신 기술의 발달과 통신 정보들의 다양함에 있다. 현대 사회에서 이용자들은 기존의 통신 서비스보다 좀 더 복잡한 기능과 편리한 기능 다양한 서비스를 필요로 하고 있다. 최근 전 세계적으로 '언제나 어디서나'라는 뜻을 가진 유비쿼터스 사회를 이루기 위한 근거리 무선 통신에 대해 관심을 많이 가지고 있으며 그에 따라 연구와 개발이 활발히 진행이 되고 있다. 무선통신 환경이 증가하고 무선 네트워크화의 필요와 수요에 따른 차세대 근거리 무선 통신 기술 중 대표적인 ZigBee 통신과 기능검증에 대한 H/W 플랫폼을 설계하고 구현하였으며 실험을 통하여 ZigBee의 전송도달거리와 송수신 속도를 확인하였다. 근거리 무선 통신 중 ZigBee의 특성을 고찰하였고 근거리 무선 통신의 연구 방향에 대해 제시하였다.

• Journal of Platform Technology
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• v.11 no.6
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• pp.21-27
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• 2023

In this paper, we introduce a reinforcement learning-based algorithm for personalized tourist path recommendations. The algorithm employs a reinforcement learning agent to explore tourist regions and identify optimal paths that are expected to enhance tourism experiences. The concept of tourism experience is defined through points of interest (POI) located along tourist paths within the tourist area. These metrics are quantified through aggregated evaluation scores derived from reviews submitted by past visitors. In the experimental setup, the foundational learning model used to find tour paths is the Deep Q-Network (DQN). Despite the limited availability of historical tourist behavior data, the agent adeptly learns travel paths by incorporating preference scores of tourist POIs and spatial information of the travel area.

• Journal of Internet Computing and Services
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• v.22 no.2
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• pp.123-131
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• 2021

The Fourth Industrial Revolution was triggered by data-driven digital technologies such as AI and big data. There is a rapid movement to expand the scope of data utilization to the privacy area, which was considered only a protected area. Through the revision of the Data 3 Act, laws and systems were established that allow personal information to be freely transferred and utilized under their consent. But, it will be necessary to support the platform that encompasses the entire process from collecting personal information to managing and utilizing it. In this paper, we propose a platform model that can be applied to building mydata ecosystem using personal information. It describes the six essential functional requirements for building MyData platforms and the procedures and methods for implementing them. The six proposed essential features describe consent, sharing/downloading/ receipt of data, data collection and utilization, user authentication, API gateway, and platform services. We also illustrate the case of applying the MyData platform model to real-world, underprivileged mobility support services.