• Proceedings of the IEEK Conference
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• 2002.06e
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• pp.25-28
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• 2002

The path planning of autonomous mobile robot use two method. One is global path planning and another is local path planning. In this paper, We study the local path planning of autonomous mobile robot move in unknown enviroment. This local path planning is based on neural network using the direction indicator rules learning. also the system is made up of sensor system. The motion control system for real-time execution. The experimental results show that the developed direction indicator system operates properly and strongly at circumstance.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.836-841
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• 2008

Ubiquitous computing represents the most explicit attempt yet to move computing technology beyond the confines of tool usage towards a pervasive penetration of everyday life. In this report, as a general introduction of Ubiquitous computing, a trend of Ubiquitous computing devices is proposed for the applied technology fields and our everyday life. We outline a broad analysis of this technology based on a close examination of the researches advancing it. After introducing a framework for understanding modem device technology, we develop an interpretation of ubiquitous computing concentrating on its guiding principles, technological infrastructure, and trends.

• Journal of the Korean Society for Precision Engineering
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• v.25 no.4
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• pp.69-76
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• 2008

The self-organizing feature map(SOFM) among a number of neural network uses a randomized small valued initial weight vectors, selects the neuron whose weight vector best matches input as the winning neuron, and trains the weight vectors such that neurons within the activity bubble are moved toward the input vector. On the other hand, the modified method in this research uses a predetermined initial weight vectors of the 1-dimensional string, gives the systematic input vector whose position best matches obstacles, and trains the weight vectors such that neurons within the activity bubble are move toward the opposite direction of input vector. According to simulation results one can conclude that the method using string and the modified neural network is useful tool to mobile robot for the global path planning.

• Proceedings of the Safety Management and Science Conference
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• 2003.11a
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• pp.129-142
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• 2003

The SCM is that Supply Chain Network is Promptly and Voluntarily Optimized in Unstable Market Change Environment. The Cash flow Efficiency of Hole Supply Chain Network is Improved by Changing the Information and Changing the Foundation of Business Processes. The Role of WMS has been Changing Importantly with the Introduction of SCM. WMS Needed to Change to the Information Center in Order to Change Information in Real Time and the WMS of Information Storing in Order to Support an Idea Decision. This Development was Defined about the Importance of WMS in SCM Environment. The Criterion of Valuation is Normally Measured Time between Taking a Order Receive and Bringing the Items to Customer. The Decreasing Move Time of Order Picker in Warehouse is Directly Influence to the Job Execution. So, this Research is Defined about the Optimized Route of Order Picker and Suggests Algorithm. To do this, Past Algorithm is Studied. It's Easy to Introduce and this Study is Looking for Method about the Noticing of Order Picker. The Algorithm will Improve to be Adapt to Standard Process System.

• International Journal of Contents
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• v.5 no.3
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• pp.57-64
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• 2009

Korea has relied on top down development method, in which companies, research and education institutions move into the industrial complexes established by the government. However, to improve local competitiveness, the paradigm is shifting from the government initiated industrial complex to the clusters based on the cooperative network of the region. Representative case is 'Samcheok-si Fire & Emergency industry cluster construction project' that begun in 2007. AHP technique analysis results on first-stage showed that priority was on policy and network elements, and the results of second-stage analysis show that priority was on Policy incentives to internationalize the cluster and strengthen link,. Cluster branding, Sharing of organizational culture to cope with changes in environment, Creation of group learning culture. The subject of this research is limited to Samcheok-si's the Fire and Emergency Industry cluster formation project. Therefore, the research area and standard should be expanded to increase generality in further researches.

• Proceedings of the KSR Conference
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• 1998.05a
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• pp.31-38
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• 1998

Guideway Transportation will provide the break-through to solve the traffic problems, which a lot of big cities have over the world. APM (Automated People Mover) system, Guideway Transportation, is classified by PRT, GRT, and MRT according to the capacity of passenger to be carried by its system. In the Application of PRT (Personal Rapid Transit) system, the enact analysis of the traffic problem on the area to be applied should be preceded. PRT system is characterized by Off-Line and Demand Operation. The Network of PRT system depends on the Load Time and Load Pattern. The operation of PRT system will have move efficient way when it is applied to the network with evenly distributed Load Time and Load Pattern.

• The Journal of Information Systems
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• v.17 no.1
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• pp.155-171
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• 2008

This thesis proposed a method that connecting step motor to image send board which can acquire image to move and remote controlling via streaming image board of PDA(personal digital assistant) based on embedded Linux which is using wireless network There are three embedded Linux system to embody movable image send board. First, though the wireless network a signal of PDA is transmitted to the board which has embedded Linux and a system which is controlled by the expansion I/O port of the board. Second, it's a system streaming realtime image at a PDA which has embedded Linux. The last is a system which controls a process of image board using TCP/IP communication and image send board at PC. These are the system which can use industrial settings and homes. It can also make use of an embodiment method about travelling image robot.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.05a
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• pp.288-291
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• 2000

In this paper we implement a robot system consisted of mobile tole robot to be controlled by client through web browser Newly Internet is connected to all network of the whole world. If client uses the network like this, client can control direction of a robot that is selected in free place. In this study, system is embodied in using robot that can move freely in plan place and cod camera that can grab robot image. System transmit image data of cod camera to java server that is placed in web server of internet that is used by client. Java server display incoming data in home page using java applet. Then web browser offer robot image to client and client send remote control signal to robot. Control signal is transmitted to robot by java server and robot receiving signal moves toward direction wanted by client.

• Journal of information and communication convergence engineering
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• v.8 no.4
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• pp.443-448
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• 2010

The electrical curtain is an electronic product which is most suitable for the sphere of intelligent home network. It provides the basic feature of intelligent home network such as the followings; various functions, powerful control. It also becomes the ideal technology with inexpensive power-line protocol, energy saving and solar power generation. Generally it is a suitable motor for BLDC to move the electrical curtain, because it provides the maintenance without difficulty, long-lived use with good efficiency. On this paper, we proposed the BLDC motor controller designed by CDM(Coefficient Diagram Method) and evaluated its performance with a simulation of the plant, designed the electrical curtain using BLDC motor and powe-line protocol.

• Proceedings of the KIEE Conference
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• 1998.07g
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• pp.2189-2192
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• 1998

The objective of this paper is, based upon the principles of artificial life, to induce emergent behaviors of multiple autonomous mobile robots which form from simple local rules to complex global intelligence. Here, we propose an architecture of neural network learing with reinforcement signals which perceives the neighborhood information and decides the direction and the velocity of movement as mobile robots navigates in a group. As results of the simulations, the optimum weights are obtained in real time, which not only prevent from the collisions between agents and obstacles in the dynamic environment, but also have the mobile robots move and keep in various patterns.