• Title/Summary/Keyword: Bio-inspired Engineering

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Self-Assembled Peptide Structures for Efficient Water Oxidation

  • Lee, Jae Hun;Lee, Jung Ho;Park, Yong Sun;Nam, Ki Tae
    • Proceedings of the Korean Vacuum Society Conference
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    • 2013.08a
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    • pp.280-280
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    • 2013
  • In green plants, energy generation is accomplished through light-harvesting photosystem, which utilize abundant visible light and multi-stepwise redox reaction to oxidize water and reduce NADP+, transferring electrons efficiently with active cofactors1. Inspired by natural photosynthesis, artificial solar water-splitting devices are being designed variously. However, the several approaches involving immobilization2, conjugation3, and surface modification4 still have limitations. We have made artificial photosynthesis templates by self-assembling tyrosine-based peptide to mimick photosystem II. Porphyrin sensitizer absorbing blue light strongly was conjugated with the templates and they were hybridized with cobalt oxide through the reduction of cobalt ions in an aqueous solution. The formation of hybrid templates was characterized using TEM, and their water oxidation performance was measured by fluorescence oxygen probe. Our results suggest that the bio-templated assembly of functional compounds has a great potential for artificial photosynthesis.

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Optimizing artificial neural network architectures for enhanced soil type classification

  • Yaren Aydin;Gebrail Bekdas;Umit Isikdag;Sinan Melih Nigdeli;Zong Woo Geem
    • Geomechanics and Engineering
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    • v.37 no.3
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    • pp.263-277
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    • 2024
  • Artificial Neural Networks (ANNs) are artificial learning algorithms that provide successful results in solving many machine learning problems such as classification, prediction, object detection, object segmentation, image and video classification. There is an increasing number of studies that use ANNs as a prediction tool in soil classification. The aim of this research was to understand the role of hyperparameter optimization in enhancing the accuracy of ANNs for soil type classification. The research results has shown that the hyperparameter optimization and hyperparamter optimized ANNs can be utilized as an efficient mechanism for increasing the estimation accuracy for this problem. It is observed that the developed hyperparameter tool (HyperNetExplorer) that is utilizing the Covariance Matrix Adaptation Evolution Strategy (CMAES), Genetic Algorithm (GA) and Jaya Algorithm (JA) optimization techniques can be successfully used for the discovery of hyperparameter optimized ANNs, which can accomplish soil classification with 100% accuracy.

The methods of error detection at Digital circuit using the FPGA 2-dimensional array (FPGA 2차원 배열을 사용한 디지털 회로에서 오류 검출의 방법)

  • Kim, Soke-Hwan;Hur, Chang-Wu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.6
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    • pp.1306-1311
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    • 2012
  • In this paper, we proposed on the direction of self-repairing mimicking the cell on the digital system design. Three-dimensional array of cells rather than using the original structure of FPGA, an array of blocks for efficient error detection methods were investigated. With a certain regularity, so the design method in detail by dividing the full array. The digital circuits can be detected fault location easily and quickly.

Fast Failure Recovery for In-band OpenFlow Networks based on Bio-inspired Algorithm (생체모방 알고리즘 기반 인밴드 오픈플로우 네트워크에서의 빠른 오류 복구)

  • Park, Yongduck;Yeom, Sanggil;Choo, Hyunseung
    • Annual Conference of KIPS
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    • 2016.04a
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    • pp.127-128
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    • 2016
  • 오픈플로우 네트워크에서 컨트롤과 데이터 플레인은 스위치나 라우터로 분리되어있다. 이 중 인밴드(in-band) 오픈플로우 네트워크에서 컨트롤 트래픽은 데이터 트래픽과 같은 채널을 사용한다. 그러므로 데이터 트래픽 경로의 오류 발생은 컨트롤과 데이터 트래픽에 영향을 미친다. 기존의 오픈플로우 네트워크에서 오류 복구는 컨트롤러와 스위치 간 모니터링을 필요로 한다. 하지만 수백만 개 이상의 플로우가 흐르는 네트워크에서 이는 오버헤드를 발생시킨다. 이 논문은 기존 모니터링 오버헤드를 줄이기 위해 개미 행동양식을 활용한 인밴드 오픈플로우 네트워크에서 오류 복구 기법을 제안한다.

Pharmacological potential of ginseng and its major component ginsenosides

  • Ratan, Zubair Ahmed;Haidere, Mohammad Faisal;Hong, Yo Han;Park, Sang Hee;Lee, Jeong-Oog;Lee, Jongsung;Cho, Jae Youl
    • Journal of Ginseng Research
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    • v.45 no.2
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    • pp.199-210
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    • 2021
  • Ginseng has been used as a traditional herb in Asian countries for thousands of years. It contains a large number of active ingredients including steroidal saponins, protopanaxadiols, and protopanaxatriols, collectively known as ginsenosides. In the last few decades, the antioxidative and anticancer effects of ginseng, in addition to its effects on improving immunity, energy and sexuality, and combating cardiovascular diseases, diabetes mellitus, and neurological diseases, have been studied in both basic and clinical research. Ginseng could be a valuable resource for future drug development; however, further higher quality evidence is required. Moreover, ginseng may have drug interactions although the available evidence suggests it is a relatively safe product. This article reviews the bioactive compounds, global distribution, and therapeutic potential of plants in the genus Panax.

Miniature Jumping Robot Using SMA Coil Actuators and Composite Materials (형상기억합금 코일 구동기와 복합재를 이용한 소형 도약 로봇 설계 및 제작)

  • Jung, Sun-Pill;Koh, Je-Sung;Jung, Gwang-Pil;Cho, Kyu-Jin
    • The Journal of Korea Robotics Society
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    • v.8 no.2
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    • pp.136-142
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    • 2013
  • In nature, many small insects are using jumping as a survival strategy. Among them, fleas jump in a unique method. They use an elastomer, 'Resilin', an extensor muscle and a trigger muscle. By contracting the extensor muscle, the elastic energy, that makes a flea to jump, is stored in the resilin. After storing energy, the trigger muscle begins contracting and pulling the extensor muscle. When the extensor muscle crosses the rotational joint, direction of torque generated from the extensor muscle reverses, 'torque reversal mechanism'. Simultaneously, the elastic energy stored in the resilin releases rapidly and is converted into the kinetic energy. It makes a flea to jump 150 times its body length. In this paper, miniaturized jumping robot using flea-inspired catapult mechanism is presented. This mechanism is based on the 4-bar linkage and the reversal joint and is actuated by Shape Memory Alloy (SMA) coiled springs describing the flea's muscle. The robot prototype is fabricated by SCM process using glass fiber prepregs and a sheet of polyimide film. The prototype is 20mm link length, 34mm width and 2.0g weight and can jump 103cm.

The wing structure modeling of the bioinspired aerial robot (생체모방 공중로봇의 날개 구조 모델링)

  • Choi, Youn-Ho;Cho, Nae-Soo;Joung, Jung-Eun;Kwon, Woo-Hyen;Lee, Dong-Ha
    • Journal of the Korean Solar Energy Society
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    • v.32 no.spc3
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    • pp.269-274
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    • 2012
  • The research of the biological mimics robot which utilizes the operation of the organism is progressed on the ground, aerial, and underwater robot sector. In the field of flying robot, the research for implementing the wing movement structure of the bird and insect is progressed. The joint structure for the wing movement of the bird is implemented. The operation of the wing is simulated. For this purpose, by using the Matlab/Simulink, the joint structure of the wing is modelled. The joint movement of the wing is tested through the simulation.

Estimating Human Walking Pace and Direction Using Vibration Signals (진동감지를 이용한 사용자 걸음걸이 인식)

  • Jeong, Eunseok;Kim, DaeEun
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.5
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    • pp.481-485
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    • 2014
  • In service robots, a number of human movements are analyzed using a variety of sensors. Vibration signals from walking movements of a human provide useful information about the distance and the movement direction of the human. In this paper, we measure the intensity of vibrations and detect both human walking pace and direction. In our experiments, vibration signals detected by microphone sensors provide good estimation of the distance and direction of a human movement. This can be applied to HRI (Human-Robot Interaction) technology.

The wing structure modeling of the bioinspired aerial robot (생체모방 공중로봇의 날개 구조 모델링)

  • Choi, Youn-Ho;Cho, Nae-Soo;Joung, Jung-Eun;Kwon, Woo-Hyen;Lee, Dong-Ha
    • 한국태양에너지학회:학술대회논문집
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    • 2012.03a
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    • pp.404-405
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    • 2012
  • The research of the biological mimics robot which utilizes the operation of the organism and which it applies to the robot is progressed on the ground, aerial, and underwater robot sector. In the field of flying robot, the research for implementing the wing movement structure of the bird and insect is progressed. The joint structure for the wing movement of the bird is implemented. The operation of the wing is simulated. For this purpose, by using the Matlab/Simulink, the joint structure of the wing is modelled. The joint movement of the wing is tested through the simulation.

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Evolvable Neural Networks Based on Developmental Models for Mobile Robot Navigation

  • Lee, Dong-Wook;Seo, Sang-Wook;Sim, Kwee-Bo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.7 no.3
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    • pp.176-181
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    • 2007
  • This paper presents evolvable neural networks based on a developmental model for navigation control of autonomous mobile robots in dynamic operating environments. Bio-inspired mechanisms have been applied to autonomous design of artificial neural networks for solving practical problems. The proposed neural network architecture is grown from an initial developmental model by a set of production rules of the L-system that are represented by the DNA coding. The L-system is based on parallel rewriting mechanism motivated by the growth models of plants. DNA coding gives an effective method of expressing general production rules. Experiments show that the evolvable neural network designed by the production rules of the L-system develops into a controller for mobile robot navigation to avoid collisions with the obstacles.