• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회A
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• pp.403-404
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• 2007

Compound eyes in nature present intriguing topics in physiological optics due to their unique optical scheme for imaging. For example, a bee's eye has thousands of integrated photonic units called ommatidia spherically arranged along a curvilinear surface so that each unit points in a different direction. The omni-directionally arranged ommatidium collects incident light with a narrow range of angular acceptance and independently contributes to the capability of wide field-of-view (FOV) detection. Artificial implementation of compound eyes has attracted a great deal of research interest because the wide FOV exhibits a huge potential for medical, industrial, and military applications. So far, imaging with a FOV over $90^{\circ}$ has been achieved only with fisheye lenses which rely on bulky and expensive multiple lenses and require stringent alignment. In this talk, we will discuss about the spherical 3D arrangement of the photonic structures of biologically inspired artificial compound eyes in a small form-factor to have and the functional and anatomical similiarity with natural compound eyes.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1020-1024
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• 2005

In this paper, an approach to dynamic systems control is addressed based on exploiting the potential features of the new nonlinear neural oscillator. Neural oscillators have recently enabled robots to exhibit natural dynamics using their robustness and entrainment properties. To technically accomplish this objective, the neural oscillator should be connected to the robot joints under the sensory feedback. This also requires the neural oscillator to adapt to the non-periodic nature of arbitrary input patterns. However, even in the most widely-used Matsuoka oscillator, when an unknown quasi-periodic or non-periodic signal is applied, its output signal is not always closely entrained. Therefore, current neural oscillators may not be applied to the precise control of the dynamic systems response. We illustrate the enhanced entrainment properties of the new neural oscillator by numerical simulation and show the possibility for implementation to control a variety of dynamic systems. It is verified that the oscillator can produce rhythmic signals for generating actuator signals which can be naturally modified by incorporating sensory feedback to adapt to outer circumstances.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2013년도 제48차 하계학술발표논문집 21권2호
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• pp.293-294
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• 2013

다양한 생물체의 행동 원리를 이용하여 모델링한 알고리즘을 생체모방 알고리즘(Biologically Inspired Algorithm)이라고 한다. 본 논문에서는 생체모방 알고리즘 중 동물 집단의 행동을 모델링한 플로킹 알고리즘(Flocking Algorithm)을 이용한 집단 게임 캐릭터의 길찾기 방법을 제안한다. 플로킹 알고리즘의 조타행동은 크게 분리(Separation), 정렬(Alignment), 응집(Cohesion), 회피(Avoidance)로 구성되어 있다. 게임에서의 기존 플로킹 알고리즘은 주로 여러 개의 몬스터나 NPC 들로 구성된 몇 개의 그룹 단위로 독자적인 집단 행동을 하는 경우에 적합하다. 그러나, 게임플레이어가 제어하는 캐릭터가 많은 경우, 기존 알고리즘은 플레이어가 선택한 캐릭터 그룹을 목표지점으로 이동하는 방법으로 적합하지 않다. 따라서 본 논문에서는 게임 플레이어가 제어하는 집단 게임캐릭터의 목표 지점까지의 길찾기를 위한 수정된 정렬 조타행동 알고리즘을 제안한다.

• 제어로봇시스템학회논문지
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• 제16권11호
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• pp.1082-1088
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• 2010

In this paper, we propose a new gel-type biomimetic variable-focus lens system. The miniaturization of conventional lens system is limited due to the use of a set of glass lenses for adjusting the focal length. Biologically inspired by the focus adjustment mechanism of the human eye, a gel-type single lens system with variable-focus is presented. The proposed system consists of a gel-type lens, mechanical parts such as body, rotation ring, and winding-type SMA actuator. In addition, the proposed system is designed to operate with a simple and miniaturized mechanical structure using a new attachment and driving mechanism. The focusing performance of the proposed system is verified through a series of experiments and measurements of the shape of the lens using tomography.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2008년도 추계학술대회A
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• pp.1427-1432
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• 2008

This paper describes the locomotion of a water jumping robot which attempts to emulate the fishing spider’s ability to jump on the water surface. While previous studies of the robots mimicking arthropods living on water were focused on recreating their horizontal skating motions, here we aim to achieve a vertical jumping motion. The robot jumps by pushing the water surface with rapidly released legs which were initially bent. The motion is triggered with a latch driven by the shape memory alloy actuator. The robot is capable of jumping to the maximum height of 26mm. Jumping efficiency, defined the maximum jumping height on water over the maximum jumping height on rigid ground, is 0.26 This work represents a first step toward robots that can locomote on water with superior versatility including skating and jumping.

• 한국표면공학회:학술대회논문집
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• 한국표면공학회 2017년도 춘계학술대회 논문집
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• pp.82-82
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• 2017

It is a great challenge to design and develop biologically inspired hierarchical platforms composed of nano and sub-nanopatterned topography for cell and tissue engineering. In this work, we have developed the novel platforms as a synthetic extracellular matrix using graphene and nanopatterned substrates for promoting functions of cells. Monolayer graphene was coated on the nanopatterned matrix with various nanoscale parallel ridges and grooves as scaffolds with hierarchical structures. Strictly, it was found that graphene-matrix nanotopography platforms could promote the functions of cells including stem cells, osteoblast cells, and endothelial cells through the synergically controlled cell-substrate and cell-cell interactions. Our results proposed that the graphene-based nanopatterned scaffolds would allow us to set up an efficient strategy for designing advanced biomimetic engineering systems toward stem cell-based tissue regeneration.

• International Journal of Control, Automation, and Systems
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• 제4권5호
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• pp.624-636
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• 2006

This paper proposes a hybrid approach involving Genetic Algorithm (GA) and Bacterial Foraging (BF) for tuning the PID controller of an AVR. Recently the social foraging behavior of E. coli bacteria has been used to solve optimization problems. We first illustrate the proposed method using four test functions and the performance of the algorithm is studied with an emphasis on mutation, crossover, variation of step sizes, chemotactic steps, and the life time of the bacteria. Further, the proposed algorithm is used for tuning the PID controller of an AVR. Simulation results are very encouraging and this approach provides us a novel hybrid model based on foraging behavior with a possible new connection between evolutionary forces in social foraging and distributed non-gradient optimization algorithm design for global optimization over noisy surfaces.

• EDISON SW 활용 경진대회 논문집
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• 제5회(2016년)
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• pp.485-488
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• 2016

In this paper, the mechanism that works by using eight legs is proposed. The walker has eleven bars instead of wheel, it shows a Biologically-inspired movement method. their driving appearance is very similar with creature which walks by its legs. For example, a crab and spider so on. This mechanism has simple style that can expand its size and attach more legs beside. For the competition regulation, we had to find working parts in the science box and some other things that can be found easily in the surroundings only usual material. The mission is making a machine that is enable to pass obstacle and to walk well. This paper followed the rules by regulation.

• 센서학회지
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• 제29권3호
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• pp.141-148
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• 2020

To find food, homes, and mates, some animals have adapted special sensing capabilities. Rather than using a passive method, they discharge a signal and then extract the necessary information from the response. More importantly, they use the slope of the detected signal to find the destination of an object. In this paper, similar strategy is mathematically formulated. A perturbation and correlation-based gradient estimation method is developed and used as a sensing strategy. This method allows us to adaptively sense an object in a given environment effectively. The proposed strategy is based on the use of gradient values; rather than instantaneous measurements. Considering the gradient value, the sampling frequency is planned adaptively, i.e., sparse sampling is performed in slowly varying regions, while dense sampling is conducted in rapidly changing regions. Using a temperature sensor, the proposed strategy is verified and its effectiveness is demonstrated.

• 센서학회지
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• 제31권1호
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• pp.16-23
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• 2022

Cardiac disease is the most common cause of death worldwide. Therefore, detection and classification of electrocardiogram (ECG) signals are crucial to extend life expectancy. In this study, we aimed to implement an artificial intelligence signal recognition system in field programmable gate array (FPGA), which can recognize patterns of bio-signals such as ECG in edge devices that require batteries. Despite the increment in classification accuracy, deep learning models require exorbitant computational resources and power, which makes the mapping of deep neural networks slow and implementation on wearable devices challenging. To overcome these limitations, spiking neural networks (SNNs) have been applied. SNNs are biologically inspired, event-driven neural networks that compute and transfer information using discrete spikes, which require fewer operations and less complex hardware resources. Thus, they are more energy-efficient compared to other artificial neural networks algorithms.