• Journal of Multimedia Information System
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• 제5권1호
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• pp.47-52
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• 2018

We have developed an electromagnetic generator to bury in subcutaneous area or abdominal cavity of the birds. As we can't use a solar battery, it is extremely difficult to supply a power for subcutaneous implantation such as biosensors under the skin due to the darkness environment. We are aiming to test the antigen-antibody reaction to confirm an avian influenza. One solution is a very small generator with the electromagnetic induction coil. We attached the developed coil to chickens and pheasants and recorded the electric potential generated as the chicken walked and the pheasant flew. The electric potential generated with physical simulator is equal to or exceeds the 7 V peak-to-peak at maximum by 560/min of flapping of wings. Even if we account for the junction voltage of the diode (200 mV), efficient charging of the double-layer capacitor is possible with the voltage doubler rectifier. If we increase the voltage, other problems arise, including the high-voltage insulation of the double-layer capacitor. For this reason, we believe the power generated to be sufficient for subcutaneous area of birds. The efficiency, magnetic 2 mm in length and coil 15mm in length, if axial direction is rectified, the magnetic flux density given to the coil could calculated to 7.1 % and generated power average 0.47mW. The improvements in size and wire insulation are expected in the future.

• 한국전기전자재료학회논문지
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• 제27권1호
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• pp.27-32
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• 2014

In this paper, PZT piezoelectric ceramic specimens with 4 compositions (Zr/Ti=50/50, 53/47, 56/44, 58/42) in $Pb(Zr,Ti)O_3$ system were fabricated. We studied effects of poling strength and thermal aging on the temperature characteristics of eletromechanical coupling factor k31 of the specimens, which were poled with the DC electric fields, 1.5, 2.5 and 3.5 kV/mm respectively and thermally aged for an hour at $200^{\circ}C$. The eletromechanical coupling factor k31 of the specimen with the composition Zr/Ti= 53/47, nearest to the morphotropic phase boundary decreased the most greatly, irrelevant to the intensity of poling field, due to 1st thermal aging. And the temperature coefficient of eletromechanical coupling factor k31 was (-) in the tetragonal phase composition and (+) in the rhombohedral phase composition, which is reverse in the temperature coefficient of resonance frequency. It is interesting that eletromechanical coupling factor k31 of PZT ceramics is shown to be able to increase as temperature increase in the interval $-20{\sim}80^{\circ}C$.

• Asian-Australasian Journal of Animal Sciences
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• 제17권5호
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• pp.719-725
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• 2004

Mesquite or Vilayati babul (Prosopis juliflora) is a drought resistant, evergreen, spiny tree with drooping branches and a deep laterally spreading root system. It grows in semi-arid and arid tracts of tropical and sub-tropical regions of the world and is spreading because the leaves are unpalatable and animals do not digest its seed. The mesquite has become a major nuisance; cutting or pruning its branches to form a canopy would provide shade for travelers, aid harvesting of pods, as well as make available wood for fuel. An average plant starts fruiting by 3-4 years of age and yields annually 10-50 kg pods/ tree, which can be collected from May-June and September-October. Availability of pods worldwide is estimated to be about 2-4 million metric tonnes. Ripe pods are highly palatable; on dry matter basis they contain 12% crude protein, 15% free sugar, a moderate level of digestible crude protein (7% DCP) with a high level of energy (75% TDN). The pods contain low tannin levels below those toxic to animals. Seeds contain 31-37% protein; pods should be finely ground before feeding to facilitate utilization of the seeds. Mesquite pods could replace costlier feed ingredients such as grain and bran contributing 10-50% of the diet. Phosphorus supplements need to be added when mesquite pod, exceeds 20% of animals' diet.

• Smart Structures and Systems
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• 제24권6호
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• pp.733-744
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• 2019

Wind speed forecasting is critical for a variety of engineering tasks, such as wind energy harvesting, scheduling of a wind power system, and dynamic control of structures (e.g., wind turbine, bridge, and building). Wind speed, which has characteristics of random, nonlinear and uncertainty, is difficult to forecast. Nowadays, machine learning approaches (generalized regression neural network (GRNN), back propagation neural network (BPNN), and extreme learning machine (ELM)) are widely used for wind speed forecasting. In this study, two schemes are proposed to improve the forecasting performance of machine learning approaches. One is that optimization algorithms, i.e., cross validation (CV), genetic algorithm (GA), and particle swarm optimization (PSO), are used to automatically find the optimal model parameters. The other is that the combination of different machine learning methods is proposed by finite mixture (FM) method. Specifically, CV-GRNN, GA-BPNN, PSO-ELM belong to optimization algorithm-assisted machine learning approaches, and FM is a hybrid machine learning approach consisting of GRNN, BPNN, and ELM. The effectiveness of these machine learning methods in wind speed forecasting are fully investigated by one-year field monitoring data, and their performance is comprehensively compared.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2016년도 제50회 동계 정기학술대회 초록집
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• pp.361.1-361.1
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• 2016

Due to their high sensitivity, fast response, small energy consumption and ease of integration, nanoelectromechanical systems (NEMS) have attracted much interest in various applications such as high speed memory devices, energy harvesting devices, frequency tunable RF receivers, and ultra sensitive mass sensors. Since the device performance of NEMS is closely related with the mechanical and flexural properties of the material in NEMS, analysis of the mechanical and flexural properties such as intrinsic tensile stress and Young's modulus is a crucial factor for designing the NEMS structures. In the present work, the intrinsic mechanical properties of highly stressed silicon nitride (SiN) beams are investigated as a function of the beam length using two different techniques: (i) dynamic flexural measurement using optical interferometry and (ii) quasi-static flexural measurement using atomic force microscopy. The reliability of the results is analysed by comparing the results from the two different measurement techniques. In addition, the mass density, Young's modulus and internal stress of the SiN beams are estimated by combining the techniques, and the prospect of SiN based NEMS for application in high sensitive mass sensors is discussed.

• Smart Structures and Systems
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• 제6권5_6호
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• pp.439-459
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• 2010

Structural health monitoring (SHM) of civil infrastructure using wireless smart sensor networks (WSSNs) has received significant public attention in recent years. The benefits of WSSNs are that they are low-cost, easy to install, and provide effective data management via on-board computation. This paper reports on the deployment and evaluation of a state-of-the-art WSSN on the new Jindo Bridge, a cable-stayed bridge in South Korea with a 344-m main span and two 70-m side spans. The central components of the WSSN deployment are the Imote2 smart sensor platforms, a custom-designed multimetric sensor boards, base stations, and software provided by the Illinois Structural Health Monitoring Project (ISHMP) Services Toolsuite. In total, 70 sensor nodes and two base stations have been deployed to monitor the bridge using an autonomous SHM application with excessive wind and vibration triggering the system to initiate monitoring. Additionally, the performance of the system is evaluated in terms of hardware durability, software stability, power consumption and energy harvesting capabilities. The Jindo Bridge SHM system constitutes the largest deployment of wireless smart sensors for civil infrastructure monitoring to date. This deployment demonstrates the strong potential of WSSNs for monitoring of large scale civil infrastructure.

• 한국인터넷방송통신학회논문지
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• 제19권4호
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• pp.7-12
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• 2019

주변 후방산란 통신은 송신 전력효율 문제로 기존 RF통신에서 채널 추정방법인 파일럿(pilot) 신호를 통한 채널 추정기법이 제한된다. 제한된 송신 전력 환경에서 기존 주변 후방산란통신의 연구는 채널 상태로 인한 신호 변동을 고려하지 않은 이상적인 채널로 가정을 하고 연구되어 왔다. 본 논문은 주변 후방산란 통신 시스템에서 정규분포를 따르는 채널 상태인 주변 후방산란 통신 시스템에서 채널 추정 방법으로 블라인드 채널 추정기법 중 하나인 기댓값-최대화 알고리즘을 제안한다. 모의실험은 제안한 시스템 모델에서 기댓값-최대화 알고리즘과 추정값의 최소 분산을 나타내는 Bayesian Cramer-Rao 하한 경계를 이용하여 평균 제곱 오차(Mean Square Error, MSE)값이 하한 경계와 근접해 가는 것을 확인하고, 주변 후방산란 통신 시스템에서 채널 파라미터의 추정이 가능함을 증명한다.

• 에너지공학
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• 제25권1호
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• pp.23-28
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• 2016

미세조류를 이용하여 바이오 연료화 하는 연구가 청정에너지 및 대체에너지 개발에 따라 많이 이루어지고 있다. 미세조류를 바이오 연료로 이용하기 위해서는 미세조류에 대한 배양과 수확, 회수, 추출, 에너지 전환에 이르는 종합적인 기술개발이 필요한데 각 부분 마다 바이오에너지 생산에 필요한 생산 비용이 가격 경쟁력 면에서 아직 문제점이 있다. 현재까지의 기술 개발은 주로 배양에 초점이 맞추어져 있으며 가격 경쟁력을 가지는 저비용의 응집, 수거, 탈수, 건조 및 연료 추출과정을 거치는 연료화 공정의 개발은 매우 미흡한 상태이다. 미세조류의 응집수거는 미세조류가 물과 유사한 밀도로 물에서 분리하기가 어려운 물질이기 때문에 저비용으로 미세조류를 응집하고 수거하는 기술이 필요하다. 미세조류의 응집과 수거를 위해 초음파를 공정에 이용하는 하이브리드 방식의 공정은 기존 공정에 비하여 환경 위해 요소가 거의 없으며 저비용 고효율의 공정으로써 다음 세대의 에너지 공급원 확보를 위해 연구가 필요한 분야이다. 본 연구는 미세조류의 바이오연료로 추출하기 위한 전단계 공정으로 물에 부양된 미세조류를 효과적으로 응집하기 위해 초음파를 조사할 경우에 일어나는 유동과 미세조류 거동에 대한 메카니즘을 수치해석을 통해 규명함으로써 초음파를 이용한 미세조류 응집에 대한 최적 설계의 토대를 정립하는 것을 목적으로 수행하였다.

• 한국지리정보학회지
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• 제20권3호
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• pp.153-169
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• 2017

본 연구에서는 솔라시티를 지향하고 있는 대구광역시를 대상으로 GIS 프로그램을 이용한 태양광 적지분석을 통해 적지유형을 분류하고, 구군별 적지현황을 알아보고자 하였다. 또한 이 결과를 바탕으로 실제 대상지를 선정하여 솔라에너지를 중심으로 한 친환경 주거단지를 계획하였다. 이를 위해서 기존 사례연구 고찰을 통해 태양광시설 설치 조건 및 기준을 확립하여, 적지 지표를 선정하였고, 선정한 지표를 입지조건, 배제조건, 등급조건으로 구분하였다. 분석 결과 대구광역시 태양광 적지면적은 총 $153.95km^2$로 대구광역시 면적 대비 17.6%를 차지하고 있었으며, 달성군에서 가장 크게 나타났다. 적지 지도를 바탕으로 대구광역시 동구 신서동에 위치한 단독주택단지를 대상지로 선정하여 솔라에너지를 중심으로 한 단지계획을 제시하였다. 본 연구는 대구광역시 태양광 적지분석에 있어 다양한 지표를 고려하고, 분석함으로써 향후 대구광역시 태양광 사업 및 정책에 기초자료로 활용될 수 있을 것이며, 계획한 친환경 주거단지는 솔라시티 대구광역시의 이미지를 명확하게 홍보하는데 기여할 수 있을 것으로 판단된다.

• Smart Structures and Systems
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• 제9권2호
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• pp.145-164
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• 2012

In this paper, solar-powered, multi-scale, vibration-impedance sensor node on Imote2 platform is presented for hybrid structural health monitoring (SHM) in cable-stayed bridge. In order to achieve the objective, the following approaches are proposed. Firstly, vibration- and impedance-based hybrid SHM methods are briefly described. Secondly, the multi-scale vibration and impedance sensor node on Imote2-platform is presented on the design of hardware components and embedded software for vibration- and impedance-based SHM. In this approach, a solar-powered energy harvesting is implemented for autonomous operation of the smart sensor nodes. Finally, the feasibility and practicality of the smart sensor-based SHM system is evaluated on a full-scale cable-stayed bridge, Hwamyung Bridge in Korea. Successful level of wireless communication and solar-power supply for smart sensor nodes are verified. Also, vibration and impedance responses measured from the target bridge which experiences various weather conditions are examined for the robust long-term monitoring capability of the smart sensor system.