• The Magazine of the IEIE
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• v.28 no.5
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• pp.55-62
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• 2001

In this paper, we introduc current research and development trend of intelligent vehicls and its application to driving suport system. We introduce some core technology required for developing thee systems and explain how it works. Moreover, some items related with ehicle information system and the intelligent vehicles will be introduced. Since the vehicle is very complex system, there are many problems in developing these systems, especially in developing intelligent vehicle. The main purpose of this is to dscuss these problems and find good solution.

• Proceedings of the IEEK Conference
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• 2002.06c
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• pp.21-24
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• 2002

We proposed the intelligent system to control prosthetic robot. The proposed intelligent system was used competitive network, SOFM and LVQ, and consisted of pre-processing part and associative part. A pre-processing part was processed EMG signal and associative part was outputted signal to control prosthetic robot. To verify the effectiveness, we adapted to 2 link manipulator for korean consonant.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.05a
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• pp.202-205
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• 2003

본 논문은 모바일 멀티 에이전트프레임워크를 이용한 분산환경에서의 개인 디지털 도서관 서비스(PLS) 시스템을 제안하였다. 기존의 에이전트 프레임워크와 차별적으로 모바일 시스템과 분산 처리 시스템을 조합한 시스템을 사용하였으며 멀티 에이전트간 협상 알고리즘과 스케줄링 방법을 개발함으로써 프레임워크가 효율적으로 동작하도록 하였다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.06a
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• pp.491-492
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• 2008

• Journal of the Korean Institute of Intelligent Systems
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• v.27 no.2
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• pp.144-149
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• 2017

In this paper, we developed an intelligent and wideband RF-receiver module to represent a high dynamic range and good linearity characteristics up to 650MHz-2700MHz frequency band. and implemented an intelligent digital-RF- distorted signal measuring system for the RF distortion (intermodulation) signals. Broadband RF-receive module was designed to represent the optimized linear parameters of the receiver to meet the low noise and wide dynamic range. The designed intelligent digital-distortion(intermodulation) signal measument system measured by applying the 1MHz IF of third intermodulation signal of DUT and Measured data was recorded by program on the PC monitor with GUI interface. By variable up to 650MHz-2700MHz measured data showed up to -127.8dBc to -138dBc of the distortion (intermodulation) signal. And developed intelligent digital- distortion signal measurement system can be used to measure intermodulation distortion signal of wireless system widely.

• Smart Media Journal
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• v.12 no.5
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• pp.73-80
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• 2023

Recently, intelligent control systems are developing rapidly in various application fields, and methods for utilizing technologies such as deep learning, IoT, and cloud computing for intelligent control systems are being studied. An important technology in an intelligent control system is recognizing and tracking objects in images. However, existing multi-object tracking technology has problems in accuracy and speed. In this paper, a real-time intelligent control system was implemented using YOLO v5 and YOLO v6 based on a one-shot architecture that increases the accuracy of object tracking and enables fast and accurate tracking even when objects overlap each other or when there are many objects belonging to the same class. The experiment was evaluated by comparing YOLO v5 and YOLO v6. As a result of the experiment, the YOLO v6 model shows performance suitable for the intelligent control system.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.510-519
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• 2020

Within an intelligent automated cyber-physical system, the realization of the autonomous mechanism for data collection, data integration, and data analysis plays a critical role in the design, development, operation, and maintenance of such a system. This construct is particularly vital for fault-tolerant route-finding systems that rely on the imprecise GPS location of the vehicles to properly operate, timely plan, and continuously produce informative feedback to the user. More essentially, the integration of digital twins with cyber-physical route-finding systems has been overlooked in intelligent transportation services with the capacity to construct the network routes solely from the locations of the operating vehicles. To address this limitation, the present study proposes a conceptual architecture that employs digital twin to autonomously maintain, update, and manage intelligent transportation systems. This virtual management simulation can improve the accuracy of time-of-arrival prediction based on auto-generated routes on which the vehicle's real-time location is mapped. To that end, first, an intelligent transportation system was developed based on two primary mechanisms: 1) an automated route finding process in which predictive data-driven models (i.e., regularized least-squares regression) can elicit the geometry and direction of the routes of the transportation network from the cloud of geotagged data points of the operating vehicles and 2) an intelligent mapping process capable of accurately locating the vehicles on the map whereby their arrival times to any point on the route can be estimated. Afterward, the digital representations of the physical entities (i.e., vehicles and routes) were simulated based on the auto-generated routes and the vehicles' locations in near-real-time. Finally, the feasibility and usability of the presented conceptual framework were evaluated through the comparison between the primary characteristics of the physical entities with their digital representations. The proposed architecture can be used by the vehicle-tracking applications dependent on geotagged data for digital mapping and location tracking of vehicles under a systematic comparison and simulation cyber-physical system.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.3
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• pp.300-305
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• 2009

This paper describes the intelligent robot's hand with three-axis finger force sensors for an intelligent robot. In order to grasp an unknown object safely, it should measure the mass of the object, and determine the grasping force using the mass, then control the robot's fingers with the grasping force. In this paper, the intelligent robot's hand for an intelligent robot was developed. First, the three-axis finger force sensors were designed and manufactured, second, the intelligent robot's hand with three-axis finger force sensors were designed and fabricated, third, the high-speed control system was designed and manufactured using DSP( digital signal processor), finally, the characteristic test to grasp an unknown object safely was carried out. It was confirmed that the developed intelligent robot's hand could grasp an unknown object safely.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.10a
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• pp.509-512
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• 2004

• 한국ITS학회:학술대회논문집
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• 2002.11a
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• pp.55-58
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• 2002