• Title/Summary/Keyword: Autonomous Network

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Performance Analysis of Entropy-based Multi-Robot Cooperative Systems in a MANET

  • Kim, Sang-Chul;Shin, Kee-Hyun;Woo, Chong-Woo;Eom, Yun-Shick;Lee, Jae-Min
    • International Journal of Control, Automation, and Systems
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    • v.6 no.5
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    • pp.722-730
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    • 2008
  • This paper proposes two novel algorithms enabling mobile robots to cooperate with each other in a reliability-based system and a time-critical system. In the reliability-based cooperative system, the concepts of a mobile ad hoc network (MANET) and an object entropy are adopted in order to coordinate a specific task. A logical robot group is created based on the exchange of request and reply messages in a robot communication group whose organization depends on transmission range. In the time-critical cooperative system, relational entropy is used to define the relationship between mobile robots. A group leader is selected based on optimizing power consumption. The proposed algorithm has been verified based on the computer-based simulation and soccer robot experiment. The performance metrics are defined. The metrics include the number of messages needed to make a logical robot group and to obtain the relationship of robots and the power consumption to select a group leader. They are verified by simulation and experiment.

Fault Detection and Diagnosis of CAN-Based Distributed Systems for Longitudinal Control of All-Terrain Vehicle(ATV) (무인 ATV의 종 방향 제어를 위한 CAN 기반 분산형 시스템의 고장감지 및 진단)

  • Kim, Soon-Tae;Song, Bong-Sob;Hong, Suk-Kyo
    • Journal of Institute of Control, Robotics and Systems
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    • v.14 no.10
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    • pp.983-990
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    • 2008
  • This paper presents the fault detection and diagnosis(FDD) algorithm to enhance reliability of a longitudinal controller for an autonomous All-Terrain Vehicle(ATV). The FDD is designed to monitor and identify faults which may occur in distributed hardware used for longitudinal control, e.g., DSPs, CAN, sensors, and actuators. The proposed FDD is an integrated approach of decentralized and centralized FDD. While the former is processed in a DSP and suitable to detect faults in a single hardware, it is sensitive to noise and disturbance. On the other hand, the latter is performed via communication and it detects and diagnoses faults through analyzing concurrent performances of multiple hardware modules, but it is limited to isolate faults specifically in terms of components in the single hardware. To compensate for disadvantages of each FDD approach, two layered structure including both decentralized and centralized FDD is proposed and it allows us to make more robust fault detection and more specific fault isolation. The effectiveness of the proposed method will be validated experimentally.

Analysis of Municipal Ordinances on Disaster Management: Focused on Busan Metropolitan City and its 16 subregions (지방자치단체의 재난관리체계 개선을 위한 재난관련 조례 분석연구 -부산광역시 및 부산 16개 구·군을 중심으로)

  • Kweon, Sinjung;Yoo, Youngmi;Cho, Sunyoung Michelle
    • Journal of the Society of Disaster Information
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    • v.14 no.1
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    • pp.1-8
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    • 2018
  • Since the problems associated with disaster management have been at the core social issues in Korea, this study analyzes the relevant ordinances of the metropolitan city of Busan and its 16 autonomous subregions, called gu in Korean language, based on the evaluation model of disaster management organizational system, which consists of interrelatedness, professionalism, integrity and responsiveness. As a result, the ordinances related to responsiveness are the most frequently identified in the ordinances, followed by interrelatedness, professionalism and integrity. A range of suggestions are discussed, including: establishing cooperative network between officials and the community; and restructuring of the work system for unity.

A Simple Method for Solving Type-2 and Type-4 Fuzzy Transportation Problems

  • Senthil Kumar, P.
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.16 no.4
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    • pp.225-237
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    • 2016
  • In conventional transportation problem (TP), all the parameters are always certain. But, many of the real life situations in industry or organization, the parameters (supply, demand and cost) of the TP are not precise which are imprecise in nature in different factors like the market condition, variations in rates of diesel, traffic jams, weather in hilly areas, capacity of men and machine, long power cut, labourer's over time work, unexpected failures in machine, seasonal changes and many more. To counter these problems, depending on the nature of the parameters, the TP is classified into two categories namely type-2 and type-4 fuzzy transportation problems (FTPs) under uncertain environment and formulates the problem and utilizes the trapezoidal fuzzy number (TrFN) to solve the TP. The existing ranking procedure of Liou and Wang (1992) is used to transform the type-2 and type-4 FTPs into a crisp one so that the conventional method may be applied to solve the TP. Moreover, the solution procedure differs from TP to type-2 and type-4 FTPs in allocation step only. Therefore a simple and efficient method denoted by PSK (P. Senthil Kumar) method is proposed to obtain an optimal solution in terms of TrFNs. From this fuzzy solution, the decision maker (DM) can decide the level of acceptance for the transportation cost or profit. Thus, the major applications of fuzzy set theory are widely used in areas such as inventory control, communication network, aggregate planning, employment scheduling, and personnel assignment and so on.

A Study on measurement Technique of HRV for elder with reduced cognitive abilities (인지능력 저하노인에 대한 HRV 측정기법에 관한 연구)

  • Kim, Wan-Kyu
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.1
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    • pp.125-132
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    • 2015
  • This paper was performed for the older people with cognitive abilities deteriorated, and its effectiveness is analyzed through measurement value of HRV. This paper was investigated the major acupressure that has been used frequently to people who has to decrease cognitive ability in the old documents. We measure the several variation by using a measuring instrument of HRV after performing an operation of acupuncture and moxibustion for elderly degraded cognitive ability. As compared with the measured values, the moxibustion and acupuncture to changes in the autonomic nervous system, heart rate and how it affects the efficacy was measured. As a result of research, acupuncture and moxibustion could be confirmed through the HRV analysis that there is a positive effect on the improvement of cognitive skills.

A study on the evolution of post-smartphone technologies in the 5G technology environment

  • Kwak, Jeong Ho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.4
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    • pp.1757-1772
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    • 2020
  • As the smartphone market becomes saturated, an innovative device equipped with new features is expected to appear soon in mobile communications. In particular, various possibilities were raised regarding the alternative technologies that can develop post-smartphones, which are differentiated from the current smartphones, as Korea commercialized the 5G infrastructure for the first time in the world. Under these circumstances, the Korean government announced the "5G+ Strategy for Realizing Innovative Growth" in April 2019, vowing to build an innovative industrial ecosystem quickly while creating various convergence services based on the 5G infrastructure. As described above, the policy importance of the alternative technologies that will develop post-smartphones is increasing, but the theoretical study on the technology evolution of post-smartphones has not been systematically conducted until now. This study reviewed the alternative technologies that can develop post-smartphones through documentary research, and data mining analysis was performed on the research result using actual data. The policy priority was also set quantitatively for the alternative technologies of post-smartphones in order to determine the alternative post-smartphone technology that the government should focus on given the constraint of limited resources. As a results, autonomous vehicle(43.68%) was found to be most important, followed by artificial intelligence(17.4%) and Internet of Things(13.1%), among alternative technologies that could develop into the post-smartphone.

Autonomous Compensation of Thermal Deformation during Long-Time Machining Process (공작기계 장시간 가공중 열변형의 CNC 자율보정 기술)

  • Kim, Dong-Hoon;Song, Jun-Yeob
    • Journal of the Korean Society for Precision Engineering
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    • v.31 no.4
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    • pp.297-301
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    • 2014
  • The biggest factors, which lower the machining accuracy of machine, are thermal deformation and chatter vibration. In this article, we introduce the development case of a device and technology that can automatically compensate thermal deformation errors of machine during long-time processing on the machine tool's CNC (Computerized Numerical Controller) in real time. In machine processing, the data acquisition of temperature signal in real time and auto-compensation of the machine origin of machine tools depending on thermal deformation have significant influence on improving the machining accuracy and the rate of operation. Thus, we attempts to introduce the related contents of the development we have made in this article : The development of a device that embedded the acquisition part of temperature data, linear regression to get compensation value, compensation model of neural network and a system that compensates the machine origin of machine tool automatically during manufacturing process on the CNC.

Knowledge Evolution based Machine-Tool in M2M Environment-Analysis of Ping Agent Based on FIPA-OS and Design of Dialogue Agent Module (M2M환경에서의 지식진화형 지능공작기계-FIPA-OS를 사용하는 Ping Agent 분석 및 Dialogue Agent 모듈설계)

  • Kim, Dong-Hun;Song, Jun-Yeop
    • 연구논문집
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    • s.34
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    • pp.113-119
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    • 2004
  • Recently, the conventional concept of a machine-tool in manufacturing systems is changing from the target of integration to the autonomous manufacturing device based on a knowledge evolution. Subsequently, a machine-tool has been the subject of a cooperation through an advanced environment where an open architecture controller, high speed network and internet technology are contained In the future, a machine-tool will be more improved in the form of a knowledge evolution based device. In order to develop the knowledge evolution based machine-tool, this paper proposes the structure of knowledge evolution and the scheme of a dialogue agent among agent-based modules such as a sensory module, a dialogue module, and an expert system. The dialogue agent has a role of interfacing with another machine for cooperation. To design of the dialogue agent module in M2M(Machine To Machine)environment, FIPA-OS and ping agent based on FIPA-OS are analyzed in this study. Through this, it is expected that the dialogue agent module can be more efficiently designed and the knowledge evolution based machine-tool can be hereafter more easily implemented.

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A Qualitative Study on the Teachers' Professional Learning Communities (교사의 전문성 개발을 위한 학습모임에 관한 질적 연구)

  • Joo, Hyun-Jun
    • Journal of Fisheries and Marine Sciences Education
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    • v.22 no.3
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    • pp.460-475
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    • 2010
  • Professionalizing the teaching workforce has been recognized as one of the primary factors to reforming public education. In response to this challenge, it has been emphasized that an educational leader's role is to support professional learning communities more effectively. Although the academia of educational administration has increasingly drawn the significance of a teacher's professional development, understanding of an educational leader's role and contribution to this effort is quite limited and unclear. This article examines what factors and barriers affect teachers' participation in professional learning communities from the voices and experiences of teachers. The analysis found 1) identification, 2) autonomous will, 3) practical solution for factors to participation and 1) lack of theoretical foundation, 2) financial burden, 3) insufficient time for barriers to participation. In conclusion, the author suggests the strategies for an educational leader who has an important role in developing a teacher's professionalism: 1) create a strong network of university professors and other experts for career advice, 2) make an institutional effort to stimulate teachers' motivation to learn; 3) decrease the teachers' workload, 4) build a synthesized and consolidated system to establish communities.

Recent Technologies for the Acquisition and Processing of 3D Images Based on Deep Learning (딥러닝기반 입체 영상의 획득 및 처리 기술 동향)

  • Yoon, M.S.
    • Electronics and Telecommunications Trends
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    • v.35 no.5
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    • pp.112-122
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    • 2020
  • In 3D computer graphics, a depth map is an image that provides information related to the distance from the viewpoint to the subject's surface. Stereo sensors, depth cameras, and imaging systems using an active illumination system and a time-resolved detector can perform accurate depth measurements with their own light sources. The 3D image information obtained through the depth map is useful in 3D modeling, autonomous vehicle navigation, object recognition and remote gesture detection, resolution-enhanced medical images, aviation and defense technology, and robotics. In addition, the depth map information is important data used for extracting and restoring multi-view images, and extracting phase information required for digital hologram synthesis. This study is oriented toward a recent research trend in deep learning-based 3D data analysis methods and depth map information extraction technology using a convolutional neural network. Further, the study focuses on 3D image processing technology related to digital hologram and multi-view image extraction/reconstruction, which are becoming more popular as the computing power of hardware rapidly increases.