• Journal of the HCI Society of Korea
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• v.14 no.2
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• pp.21-29
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• 2019

Take-over requests in semi-autonomous cars must be handled properly in the case of road obstacles or curved roads in order to avoid accidents. In these situations, situation awareness and appropriate decision making are essential for distracted drivers. This study used a driving simulator to investigate the components of auditory-visual information systems that affect safety, workload, and trust. Auditory information consisted of either voice guidance providing situation awareness for the take-over or a beep sound that only alerted the driver. Visual information consisted of either a screen showing how to maneuver the vehicle or only an icon indicating a take-over situation. By providing auditory information that increased situation awareness and visual information that aided decision making, trust and safety increased, while workload decreased. These results suggest that the levels of situation awareness and decision making ability affect trust, safety, and workload for drivers.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37B no.9
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• pp.741-749
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• 2012

Ad Hoc Self-Organizing TDMA (ASO-TDMA) has been proposed as a specification to support the multi-hop data communication service for ships over VHF band. It allows for organizing a multi-hop ad-hoc network in a distributed manner by sharing the radio resources among the ships navigating along the route. In this paper, Markov chain analysis is given to provide the average throughput performance for ASO-TDMA protocol Furthermore, the analytical results are verified with computer simulation, which shows that there exists the optimal transmission rate to maximize the average throughput as the subframe size and the number of ships are varying in each hop region.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.1
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• pp.18-22
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• 2015

The relationship of information collection and utility is relationship of man to man, but is developed object to object by information communication and control system. This paper suggests a multimedia collaboration environment based on M2M(Machine to machine). We propose a study on reliability for application QoS in distributed multimedia. When it recovers, the characteristic of this system is to use the same method to get back again it as it creates a session.

• Journal of the Korean Operations Research and Management Science Society
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• v.24 no.2
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• pp.17-29
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• 1999

The manufacturing systems have to cope with the circumstance that the requirements of customers are changed abruptly and the life cycle of product becomes short. In this paper, to develop the efficient control and operation of autonomous, distributed machining systems the concept of Holonic Manufacturing System is adopted and methods for the control and operation of the system are proposed including an evaluation function for the negotiation between holons. And it is applied to scheduling and selection of operations to be worked with consideration of quality. It is expected that the proposed methods may be applied to operate autonomous, distributed machining systems.

• Proceedings of the KSR Conference
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• 2004.06a
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• pp.528-533
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• 2004

The purpose of this thesis is to construct the autonomous decentralized train traffic management structure using techniques of Autonomous Decentralized System. Currently, a method of train traffic control is making use of CTC(Centralized Traffic Control). Its operation method is divided into the remote mode and the local mode. The classified basis is according to the control authority of install signals in track side. In most cases, a large scale station is operated by the local mode. Because of dispatchers in center can not control the shunting works influence on the main route. In order to solve these problem s, we analyzed a current operation condition and system requirements. Moreover, this thesis is constructing autonomous decentralized train traffic management structure. Finally, this research proposed that interface with CTC and step-by-step construction.

• Proceedings of the KSR Conference
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• 2007.05a
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• pp.1239-1243
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• 2007

Autonomous Station Control System is automatic route control system of large-scale station. The system has flexibility of system step-by-step construction and expandability. A method of step-by-step construction for Autonomous Station Control System has system expansion and subsystem software expansion. The system has autonomous controllability and autonomous coordinability for system step by step construction. With property for a basis, each of subsystem communicates data field. Also, Each subsystem has its own management system, Autonomous Data Manager to manage itself and coordinate with the others. This paper make clear test method for Autonomous Station Control System expansion and software expansion. The first test method of system increasing construction is single station construction test. The second of method is connecting test the neighbor's Autonomous Station Control System. The third of method is connecting test the Autonomous Line Management System. Also, the test method of software expansion take the case of route control subsystem.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.636-641
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• 2008

In this paper, the analysis methods of available information are reviewed and it is elicited to the method of which the analysis results are applied to the Autonomous Decentralized Train Management System for the optimization at the point of the route control time and for making the efficiency shunting plan in the Autonomous Centralized Station Operation Control System. As the statistics and estimated information which are got through the utilizable information analysis are applied for the automatic route control function and the shunting plan management of the station operation control system, it is possible to use efficiently the station information by the autonomous route control system. And as the exact forecast information needed for the shunting plan establishment and the operation is provided to the operator, it is established to the efficient train operation plan.

• Information and Communications Magazine
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• v.31 no.1
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• pp.53-62
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• 2013

생태계를 구성하고 있는 각 생물체들은 외부에서의 제어 개체 없이 독자적이면서 매우 단순하고 적은 수의 행동 규칙의 준수를 통하여 해당 생태계의 유지, 관리 및 동기화 등의 기능을 수행하고 있음을 관찰 할 수 있다. 이처럼 지구상의 다양한 생물체의 행동 원리를 관찰하고 이를 기반으로 모델링한 알고리듬을 생체모방 알고리듬 (biologically inspired or bio-inspired algorithm)이라 한다. 생체모방 알고리즘은 동종 혹은 이종의 다수의 개체가 존재하고, 주변 환경이 동적으로 변하며, 사용가능한 자원의 제약이 정해져 있을 때, 각 개체들이 분산 및 자율적으로 움직이는 환경에서 안정성, 확장성, 적응성과 같은 특징을 보여주는데, 이는 통신 네트워크 환경 및 서비스 요구사항과 유사성을 갖는다. 본 논문에서는 최근에 발표된 생체모방 알고리즘으로 통신 및 네트워킹 기술로 적용 가능한 Huddling Penguins 알고리즘, Krill Herd알고리즘, Cuckoo 알고리즘에 대해 살펴보고, 관련 프로젝트 및 연구 동향을 정리한다.

• Proceedings of the KIEE Conference
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• 1996.07b
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• pp.1182-1185
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• 1996

The objective of this paper is to control a nonlinear dynamical systems based on Self-Organized Distributed Networks (SODN). The learning with the SODN is fast and precise. Such properties are caused from the local learning mechanism Each local network learns only data in a subregion. Methods for indirect adaptive control of nonlinear systems using the SODN is presented. Through extensive simulation, the SODN is shown to be effective for adaptive control of nonlinear dynamic systems.

• Proceedings of the KSR Conference
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• 2008.11b
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• pp.2045-2050
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• 2008

The Autonomous station control system by applying the concepts of autonomous decentralized system is a system which can solve the problems of the current central control system. The Autonomous station control system tester developed in order to test for Autonomous station control system. The main function of tester is a time-deadline test, a schedule broadcast test, a route control test and a version-up test, etc. In the paper, we build the reliability of the Autonomous station control system by testing the Autonomous station control system tester. Also, the test enable the on-line test without the system interruption and verify the function of the Autonomous station control system developed by applying the concepts of Autonomous decentralized system to the current Central control system.