• Title/Summary/Keyword: Adaptive Mechanism

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Traffic Adaptive Wakeup Control Mechanism in Wireless Sensor Networks (무선 센서 네트워크에서 트래픽 적응적인 wakeup 제어 메커니즘)

  • Kim, Hye-Yun;Kim, Seong-Cheol;Jeon, Jun-Heon;Kim, Joon-Jae
    • Journal of Korea Multimedia Society
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    • v.17 no.6
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    • pp.681-686
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    • 2014
  • In this paper, we propose a traffic adaptive mechanism that controls the receiver's wakeup periods based on the generated traffic amounts. The proposed control mechanism is designed for military, wild animal monitoring, and forest fire surveillance applications. In these environments, a low-rate data transmission is usually required between sensor nodes. However, continuous data is generated when events occur. Therefore, legacy mechanisms are ineffective for these applications. Our control mechanism showed a better performance in energy efficiency compared to the RI-MAC owing to the elimination of the sender node's idle listening.

Development of Adaptive RCC Mechanism Using Double-Actuator Units (여자유도 액츄에이터를 이용한 능동RCC 장치의 개발)

  • Lim, Hyok-Jin;Kim, Byeong-Sang;Kang, Byung-Duk;Song, Jae-Bok;Park, Shin-Suk
    • The Journal of Korea Robotics Society
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    • v.2 no.2
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    • pp.168-177
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    • 2007
  • In a number of fields, robots are being used for two purposes: efficiency and safety. Most robots, however, have single-actuator mechanism for each joint, where the tasks are performed with high stiffness. High stiffness causes undesired problems to the environment and robots. This study proposes redundant actuator mechanism as an alternative idea to cope with these problems. In this paper, Double-Actuator Unit (DAU) is implemented at each joint for applications of multi-link manipulators. The DAU is composed of two motors: the positioning actuator and the stiffness modulator, which enables independent control of positioning and compliance. A three-link manipulator with DAUs enables adaptive control of RCC. By modulating the joint stiffness of the manipulator and controlling the position of RCC, we can significantly reduce contact force during assembly tasks and surgical procedures.

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A Study on Optics Polishing Technology by Adaptive Tool and Eccentric Motion Mechanism (적응형 공구 및 편심 운동 방식의 광학 연마 기술에 관한 연구)

  • Lee, Ho-Cheol
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.16 no.6
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    • pp.133-139
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    • 2007
  • In this paper, optics polishing technology using adaptive tool and eccentric motion mechanism was suggested. Optics polishing can make high reflective and accurate surface. The optics polishing process based on the eccentric motion mechanism has been used to manufacture the ophthalmic lens mold. Also ophthalmic lens mold factory hold conventionally a lot of the curved polishing tools for the versatile mold curves of eye diopters and want to reduce tool numbers. Therefore, a polishing machine with adaptive airbag tool was developed and experimentally verified in view of surface roughness and form accuracy.

Adaptive fuzzy sliding-mode control for BLDC Servo Mortor (BLDC 서보 모터를 위한 적응 퍼지 슬라이딩 모드 제어기의 설계)

  • 박수식
    • Proceedings of the KIPE Conference
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    • 2000.07a
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    • pp.624-627
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    • 2000
  • An adaptive fuzzy sliding-mode control system which combines the merits of sliding-mode control the fuzzy inference mechanism and the adaptive algorithm is proposed. A fuzzy sliding-mode controller is investigated in which a simple fuzzy inference mechamism is used to estimate the upper bound of uncertainties., The fuzzy inference mechanism with centre adaptation of membership functions is investigated to estimate the optimal bound of uncertainties.

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The Effect of Segment Size on Quality Selection in DQN-based Video Streaming Services (DQN 기반 비디오 스트리밍 서비스에서 세그먼트 크기가 품질 선택에 미치는 영향)

  • Kim, ISeul;Lim, Kyungshik
    • Journal of Korea Multimedia Society
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    • v.21 no.10
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    • pp.1182-1194
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    • 2018
  • The Dynamic Adaptive Streaming over HTTP(DASH) is envisioned to evolve to meet an increasing demand on providing seamless video streaming services in the near future. The DASH performance heavily depends on the client's adaptive quality selection algorithm that is not included in the standard. The existing conventional algorithms are basically based on a procedural algorithm that is not easy to capture and reflect all variations of dynamic network and traffic conditions in a variety of network environments. To solve this problem, this paper proposes a novel quality selection mechanism based on the Deep Q-Network(DQN) model, the DQN-based DASH Adaptive Bitrate(ABR) mechanism. The proposed mechanism adopts a new reward calculation method based on five major performance metrics to reflect the current conditions of networks and devices in real time. In addition, the size of the consecutive video segment to be downloaded is also considered as a major learning metric to reflect a variety of video encodings. Experimental results show that the proposed mechanism quickly selects a suitable video quality even in high error rate environments, significantly reducing frequency of quality changes compared to the existing algorithm and simultaneously improving average video quality during video playback.

An Efficient Chaotic Image Encryption Algorithm Based on Self-adaptive Model and Feedback Mechanism

  • Zhang, Xiao;Wang, Chengqi;Zheng, Zhiming
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.3
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    • pp.1785-1801
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    • 2017
  • In recent years, image encryption algorithms have been developed rapidly in order to ensure the security of image transmission. With the assistance of our previous work, this paper proposes a novel chaotic image encryption algorithm based on self-adaptive model and feedback mechanism to enhance the security and improve the efficiency. Different from other existing methods where the permutation is performed by the self-adaptive model, the initial values of iteration are generated in a novel way to make the distribution of initial values more uniform. Unlike the other schemes which is on the strength of the feedback mechanism in the stage of diffusion, the piecewise linear chaotic map is first introduced to produce the intermediate values for the sake of resisting the differential attack. The security and efficiency analysis has been performed. We measure our scheme through comprehensive simulations, considering key sensitivity, key space, encryption speed, and resistance to common attacks, especially differential attack.

An Enhanced Adaptive Power Control Mechanism for Small Ethernet Switch (소규모 이더넷 스위치에서 개선된 적응적 전력 제어 메커니즘)

  • Kim, Young-Hyeon;Lee, Sung-Keun;Koh, Jin-Gwang
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.3
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    • pp.389-395
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    • 2013
  • Ethernet is the most widely deployed access network protocol around the world. IEEE 802.3az WG released the EEE standard based on LPI mode to improve the energy efficiency of Ethernet. This paper proposes improved adaptive power control mechanism that can enhance energy-efficiency based on EEE from small Ethernet switch. The feature of this mechanism is that it predicts the traffic characteristic of next cycle by measuring the amount of traffic flowing in during certain period and adjusts the optimal threshold value to relevant traffic load. Performance evaluation results indicate that the proposed mechanism improves overall performance compared to traditional mechanism, since it significantly reduces energy consumption rate, even though average packet delay increases a little bit.

MRAC Fuzzy Control for High Performance of Induction Motor Drive (유도전동기 드라이브의 고성능 제어를 위한 MRAC 퍼지제어)

  • 정동화;이정철
    • The Transactions of the Korean Institute of Power Electronics
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    • v.7 no.3
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    • pp.215-223
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    • 2002
  • This paper investigates the adaptive control of a fuzzy logic based speed and flux controller fur a vector controlled induction motor drive. A model reference adaptive scheme is proposed in which the adaptation mechanism is executed by fuzzy logic based on the error and change of error measured between the motor speed and output of a reference model. The control performance of the model reference adaptive control(MRAC) fuzzy controller is evaluated by simulation for various operating conditions. The validity of the Proposed MRAC fuzzy controller is confirmed by performance results for induction motor drive system.

A Development of Algorithm on Robust Adaptive Law in Adaptive mechanism showing Chaotic phenomenon (혼돈 현상을 보이는 적응기구에서의 강인한 적응법칙에 관한 알고리즘의 개발)

  • Jeon, Sang-Young;Yim, Wha-Yeong
    • Proceedings of the KIEE Conference
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    • 1994.11a
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    • pp.322-325
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    • 1994
  • Mareel and Bitmead proved the presence of chaotic signal in random noise by applying dead beat control theory to adaptive mechanism. In this paper robust adaptive theory is proposed. With the property of chaotic signal that has order and law, the proposed theory can enhance the control Performance by applying the recursive algorithm that uses dynamic relation which have small correlation. The performance of proposed algorithm is demonstrated with the computer simulation of position control of electric motor. In this simulation, the adaptive low is adopted to control electric motor and the Presence of chaotic signal in feedback signal is proved by using several method such as time series, fourier spectrum phase portrait method.

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The Mediating Effect of Defense Mechanism in the Relation between Disconnection and rejection Schema and Mental Health (단절 및 거절 도식과 정신건강 간의 관계에서 방어기제의 매개효과)

  • KIM, Haeng-Shin;SEO, Su-Gyun
    • Journal of Fisheries and Marine Sciences Education
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    • v.27 no.3
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    • pp.656-671
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    • 2015
  • The purpose of the present study is to examine relationships between disconnection and rejection schema, defense mechanism, and mental health in college students using structural equation modeling. The present study suggested a proposed model in which defense mechanism exerted a full mediating effect on the relation between disconnection and rejection schema and mental health. Goodness of fit tests were used to compare the proposed model against competing models. The subjects consisted of 304 college students. They completed the Young Schema Questionnaire(YSQ-SF), the Defense Style Questionnaire(DSQ), and the Mental Health Scale. The results showed that the second model had a better goodness of fit. Based on these findings, it is suggested that psychological interventions for mental health in college students should consider strategies to use more flexible and more adaptive defense mechanism style.