• Smart Structures and Systems
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• 제3권2호
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• pp.147-172
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• 2007

The present paper is concerned with the design of distributed sensors and actuators. Strain type sensors and actuators are considered with their intensity continuously distributed throughout a continuous structure. The sensors measure a weighted average of the strain tensor. As a starting point for their design we introduce the concept of collocated sensors and actuators as well as the so-called natural output. Then we utilize the principle of virtual work for an auxiliary quasi-static problem to assign a mechanical interpretation to the natural output of the sensors to be designed. Therefore, we take the virtual displacements in the principle of virtual work as that part of the displacement in the original problem, which characterizes the deviation from a desired one. We introduce different kinds of distributed sensors, each of them with a mechanical interpretation other than a weighted average of the strain tensor. Additionally, we assign a mechanical interpretation to the collocated actuators as well; for that purpose we use an extended body force analogy. The sensors and actuators are applied to solve the displacement tracking problem for continuous structures; i.e., the problem of enforcing a desired displacement field. We discuss feed forward and feed back control. In the case of feed back control we show that a PD controller can stabilize the continuous system. Finally, a numerical example is presented. A desired deflection of a clamped-clamped beam is tracked by means of feed forward control, feed back control and a combination of the two.

• Smart Structures and Systems
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• 제13권1호
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• pp.81-98
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• 2014

This paper presents the elastic buckling of smart lightweight column structures integrated with a pair of surface piezoelectric layers using artificial intelligence. The finite element modeling of Smart lightweight columns is found using $ANSYS^{(R)}$ software. Then, the first buckling load of the structure is calculated using eigenvalue buckling analysis. To determine the accuracy of the present finite element analysis, a compression study is carried out with literature. Later, parametric studies for length variations, width, and thickness of the elastic core and of the piezoelectric outer layers are performed and the associated buckling load data sets for artificial intelligence are gathered. Finally, the application of soft computing-based methods including artificial neural network (ANN), fuzzy inference system (FIS), and adaptive neuro fuzzy inference system (ANFIS) were carried out. A comparative study is then made between the mentioned soft computing methods and the performance of the models is evaluated using statistic measurements. The comparison of the results reveal that, the ANFIS model with Gaussian membership function provides high accuracy on the prediction of the buckling load in smart lightweight columns, providing better predictions compared to other methods. However, the results obtained from the ANN model using the feed-forward algorithm are also accurate and reliable.

• 식품과학과 산업
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• 제50권2호
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• pp.60-73
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• 2017

Recently, the whole world is facing an unprecedented moment of opportunity, so-called The Fourth Industrial Revolution. As emphasized in the World Economic Forum held in January of 2016 at Davos, the Fourth Industrial Revolution is not merely a changes of technological devices. The fundamental of the revolution is new, innovative, and visionary business models which change the whole systems dramatically. One of the greatest challenges is to feed an expected population of 9 billion by 2050 in a impactful way. The system should be sustainable as well as beneficial in improving the lives of people in the food chain along with the ecological health of environment. The technological advances of the Fourth Industrial Revolution are expected to improve our food system. The smart farm technology such as precision planting and irrigation techniques will improve the yields of food materials. The smart food transportation and logistics systems will substantially improve the safety and human nutrition. The adaptation the Fourth Industrial Revolution technology will induce the smart supply chains, smart production, and smart products in food industry due to its flexibility and standardization. This will lead the manufactures to adapt to customers' changing product specifications and traceable services in a timely manner.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2009년도 제40회 하계학술대회
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• pp.1053_1054
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• 2009

A significant number of renewable energy systems have been connected to the grids as supplement power source. The renewable energy systems require control algorithm to maintain the power-supply reliability and quality. This paper proposes a novel control algorithm for smart Power Conditioning System (PCS) with harmonics and reactive power compensation. The smart PCS is used to feed Photovoltaic (PV) power to utility and compensate harmonics and reactive power at the same time. The experimentation is carried out on the proposed grid-connected PV generation system, and controlled by digital signal processor. The grid-connected PV generation system injects PV energy into the grid and performs as Active Filter (AF) and Static Synchronous Compensator (STATCOM) without additional devices. The experiment results show that the proposed control algorithm is effective for smart PCS with harmonics and reactive power compensation.

• 한국정보통신학회논문지
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• 제24권1호
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• pp.130-133
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• 2020

Smart pig farm which is based on IoT has been widely adopted by many pig farmers. In order to achieve optimal control of smart pig farm, the relation between environmental conditions and performance metric should be characterized. In this study, the relation between multiple environmental conditions including temperature, humidity and various performance metrics, which are daily gain, feed intake, and MSY, is analyzed based on data obtained from 55 real pig farm. Especially, based on preprocessing of data, various regression based machine learning algorithms are considered. Through performance evaluation, we show that the performance can be predicted with high precision, which can improve the efficiency of management.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2020년도 추계학술발표대회
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• pp.949-952
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• 2020

층간 소음으로 인한 갈등, 직장에서 발생하는 소음으로 인한 청력 감소 등 소음으로 인한 많은 문제들이 최근 들어 많이 대두되고 있다. 소음을 없애기 위해서는 물리적인 방법도 있지만 ANC 기술을 이용하여 소음을 없애는 방법도 있다. ANC 란 기존 소음과 반대 위상인 파장을 출력해 상쇄간섭을 일으켜 소음을 줄여주는 기술이다. AI_ANC 기술은 기존에 ANC 기술의 한계점(Feedback, Time Gap)을 극복하기 위해 Feed forward 방식과 AI 를 접목시켜 능동적으로 소음을 감소시킨다. 이기술은 층간 소음, 공장 소음 더 나아가 다양한 이동수단까지 범용적으로 활용성이 뛰어나다.

• 한국컴퓨터정보학회논문지
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• 제17권2호
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• pp.187-195
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• 2012

스마트폰은 사용자 상황인지를 통해 개인 소비자들의 행동을 쉽게 예측할 수 있고 그들의 행동에 대한 즉각적인 피드백을 가능하게 한다. 이 같은 디지털 기기들은 소비자가 관심 있는 광고를 구매시점에 제공할 수 있다. 본 논문에서는 새로운 광고 매체로 각광받는 스마트 폰과 인터넷 기반 TV의 동향을 알아보고 스마트 공간내의 N-screen을 포함 다양한 기기를 통해 획득한 사용자 융합 상황정보로 소비자에게 관심 광고 컨텐츠를 제공하는 효과적인 광고 방법인 스마트 광고 모델을 제시해 본다. 이는 광고의 홍수 속에서 살고 있는 현대인들에게 관심 있는 광고 컨텐츠를 제공함으로써 구매유도를 촉진시킨다.

• 융합보안논문지
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• 제22권1호
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• pp.135-140
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• 2022

본 연구는 스마트 디바이스와 기술을 활용한 운동 사례와 이슈를 분석하고 기존의 실버세대와 달리 높은 활동력과 경제력을 지닌 액티브시니어의 웰니스 라이프에 적합한 향후 스마트 운동 환경의 발전 방향을 제시하고자 하였다. 피트니스 산업에서도 필요한 운동도구나 서비스, 디지털 콘텐츠 등을 정기적으로 받아보거나 이용하는 구독경제가 확장되고 있는 추세이며, 하드웨어 판매와 콘텐츠 구독을 기반으로 한 비즈니스 모델이 계속 등장하고 있다. 액티브시니어에게 건강관리를 위한 통합적인 운동 서비스를 제공하는 플랫폼으로서의 가치경쟁력을 갖추기 위해서는 피트니스센터 뿐만 아니라 홈트레이닝 운동기구, 피트니스 관련 애플리케이션, 스마트 웨어러블 디바이스 시장 등이 유기적으로 연결되어 확장된 토털 플랫폼으로서의 모습을 이루어야 할 것이다. 개인별 건강상태에 알맞은 운동프로그램을 제안 받고 선택하여 운동 전, 후, 운동 중 웨어러블 디바이스를 통해 지속적인 모니터링과 피드백에 따른 운동프로그램에 실시간 변화를 주는 디지털 헬스케어 기능 연동이 스마트 피트니스 모델의 차별적 요소이다.

• Asian-Australasian Journal of Animal Sciences
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• 제25권6호
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• pp.852-860
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• 2012

An Antarctic bacterial isolate displaying extracellular ${\alpha}$-galactosidic activity was named Paenibacillus sp. LX-20 based on 16S rRNA gene sequence analysis. Optimal activity for the LX-20 ${\alpha}$-galactosidase occurred at pH 6.0-6.5 and $45^{\circ}C$. The enzyme immobilized on the smart polymer Eudragit L-100 retained 70% of its original activity after incubation for 30 min at $50^{\circ}C$, while the free enzyme retained 58% of activity. The enzyme had relatively high specificity for ${\alpha}$-D-galactosides such as p-nitrophenyl-${\alpha}$-galactopyranoside, melibiose, raffinose and stachyose, and was resistant to some proteases such as trypsin, pancreatin and pronase. Enzyme activity was almost completely inhibited by $Ag^+$, $Hg^{2+}$, $Cu^{2+}$, and sodium dodecyl sulfate, but activity was not affected by ${\beta}$-mercaptoethanol or EDTA. LX-20 ${\alpha}$-galactosidase may be potentially useful as an additive for soybean processing in the feed industry.

• 한국산업융합학회 논문집
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• 제23권6_1호
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• pp.889-896
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• 2020

We describe a new approach to the analyze the control performance of robotic manipulator based on the monitoring system. The structure of monitoring simulator is consist of seven modes such as control state mode, coordinate mode, input/output mode, program mode, parameters mode, and track mode. The applied control algorithme consists of an time varying feed-forward and feedback controller. The proposed scheme is simple in structure, fast in computation, and suitable for real-time implimemtation. Moreover, this scheme does not require any accurate dynamic modeling and values of parameters. Performance of the proposed monitoring system is illustrated by simulation and experiment for robot manipulator with six degrees of freedom.