• 제목/요약/키워드: Smart Component

검색결과 395건 처리시간 0.021초

플라즈몬 금속 산화물 나노입자를 활용한 차세대 전기변색 소자 개발 동향 (Recent Progress of Developing Next-Generation Electrochromic Windows from Plasmonic Metal Oxide Nanocrystals)

  • 나장한;김성빈;허성연
    • 한국전기전자재료학회논문지
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    • 제37권1호
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    • pp.1-10
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    • 2024
  • Direct use of sunlight through the glass windows is an efficient way to reduce the energy consumption related to the heating, cooling, and lighting. Introduction of near-infrared modulating properties through colloidal doped metal oxide nanocrystals into the classical electrochromic materials accelerates the development of next-generation electrochromic devices. There has been a steady enhancement in the performance of electrochromic devices, necessitating a review of the recent progress in next-generation electrochromic devices employing doped metal oxide nanocrystals. This review provides an overview of the current developments in next-generation electrochromic smart windows utilizing colloidal doped metal oxide nanocrystals, with a focus on the key factors for achieving these advanced windows. Colloidal doped metal oxide nanocrystals are a crucial component in realizing and bringing to market the next generation of electrochromic windows, though further research and development are still required in this regard.

지하역사 내 승하차 인원에 따른 식생바이오필터의 미세먼지 저감효과와 운전전략 (The Fine Dust Reduction Effect and Operational Strategy of Vegetation Biofilters Based on Subway Station Passenger Volume)

  • 이재영;김예진;김미주
    • 반도체디스플레이기술학회지
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    • 제22권4호
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    • pp.13-18
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    • 2023
  • A subway station is a prominent multi-purpose facility where the quantitative management of fine dust, generated by various factors, is conducted. Recently, eco-friendly air purification methods using air-purifying plants are being discussed, with the focus on biofiltration through vegetation. Previous research in this field has confirmed the reduction effects of transition metals such as Fe, which have been identified as harmful to human health. This study aimed to identify the sources of fine dust dispersion within subway stations and derive an efficient operational strategy for air-purifying plants that takes into account the behavior characteristics of fine dust within multi-purpose facilities. The experiment monitored regional fine dust levels through IAQ stations established based on prior research. Also, the data was analyzed through time-series and correlation analyses by linking it with passenger counts at subway stations and the frequency of train stops. Furthermore, to consider energy efficiency, we conducted component-specific power consumption monitoring. Through this study, we were able to derive the optimal operational strategy for air-purifying plants based on time-series comprehensive analysis data and confirm significant energy efficiency.

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Density Change Adaptive Congestive Scene Recognition Network

  • Jun-Hee Kim;Dae-Seok Lee;Suk-Ho Lee
    • International journal of advanced smart convergence
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    • 제12권4호
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    • pp.147-153
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    • 2023
  • In recent times, an absence of effective crowd management has led to numerous stampede incidents in crowded places. A crucial component for enhancing on-site crowd management effectiveness is the utilization of crowd counting technology. Current approaches to analyzing congested scenes have evolved beyond simple crowd counting, which outputs the number of people in the targeted image to a density map. This development aligns with the demands of real-life applications, as the same number of people can exhibit vastly different crowd distributions. Therefore, solely counting the number of crowds is no longer sufficient. CSRNet stands out as one representative method within this advanced category of approaches. In this paper, we propose a crowd counting network which is adaptive to the change in the density of people in the scene, addressing the performance degradation issue observed in the existing CSRNet(Congested Scene Recognition Network) when there are changes in density. To overcome the weakness of the CSRNet, we introduce a system that takes input from the image's information and adjusts the output of CSRNet based on the features extracted from the image. This aims to improve the algorithm's adaptability to changes in density, supplementing the shortcomings identified in the original CSRNet.

Experimental and numerical validation of guided wave based on time-reversal for evaluating grouting defects of multi-interface sleeve

  • Jiahe Liu;Li Tang;Dongsheng Li;Wei Shen
    • Smart Structures and Systems
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    • 제33권1호
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    • pp.41-53
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    • 2024
  • Grouting sleeves are an essential connecting component of prefabricated components, and the quality of grouting has a significant influence on structural integrity and seismic performance. The embedded grouting sleeve (EGS)'s grouting defects are highly undetectable and random, and no effective monitoring method exists. This paper proposes an ultrasonic guided wave method and provides a set of guidelines for selecting the optimal frequency and suitable period for the EGS. The optimal frequency was determined by considering the group velocity, wave structure, and wave attenuation of the selected mode. Guided waves are prone to multi-modality, modal conversion, energy leakage, and dispersion in the EGS, which is a multi-layer structure. Therefore, a time-reversal (TR)-based multi-mode focusing and dispersion automatic compensation technology is introduced to eliminate the multi-mode phase difference in the EGS. First, the influence of defects on guided waves is analyzed according to the TR coefficient. Second, two major types of damage indicators, namely, the time domain and the wavelet packet energy, are constructed according to the influence method. The constructed wavelet packet energy indicator is more sensitive to the changes of defecting than the conventional time-domain similarity indicator. Both numerical and experimental results show that the proposed method is feasible and beneficial for the detection and quantitative estimation of the grouting defects of the EGS.

A new time-frequency analysis and structural instantaneous frequency extraction method based on modified spline-kernelled chirplet transform

  • Dong-Yan Xue;Ping-Ping Yuan;Zhou-Jie Zhao;Wei-Xin Ren
    • Smart Structures and Systems
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    • 제33권6호
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    • pp.385-398
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    • 2024
  • To improve the accuracy of time-frequency analysis (TFA) and instantaneous frequency (IF) extraction of structural dynamic response signals, this paper improves the spline-kernelled chirplet transform, and a new form of modified spline-kernelled chirplet transform (MSCT) based on revised Gaussian window function and energy concentration principle is put forward. The effectiveness of the proposed method is verified by numerical examples of single-component signal, multicomponent signal, single-degree-of-freedom Duffing nonlinear system and two-layer shear frame structure model. Then, a time-varying cable test is designed to collect the acceleration response signals under linear changing tension, and the IF extraction of these signals is performed by using MSCT, which further verifies the effectiveness and accuracy of this method. Through numerical simulation and experimental verification, it is proved that the proposed method can effectively extract the IF of nonlinear structure and time-varying structure.

클라우드 컴퓨팅을 이용한 유시티 비디오 빅데이터 분석 (An Analysis of Big Video Data with Cloud Computing in Ubiquitous City)

  • 이학건;윤창호;박종원;이용우
    • 인터넷정보학회논문지
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    • 제15권3호
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    • pp.45-52
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    • 2014
  • 유비쿼터스 시티(유시티)에서는 수많은 비디오 카메라들이 설치된다. 이렇게 설치된 많은 카메라로부터 대용량의 비디오 데이터가 실시간으로 끊임없이 발생하고 유시티의 관리 시스템으로 전달된다. 유시티의 다양한 서비스들을 뒷받침하기 위해서는 이러한 비디오 데이터를 저장하고, 이렇게 저장된 대용량의 비디오 데이터를 분석할 수 있는 방법과 관리 시스템이 요구된다. 그래서, 이 논문에서는 클라우드 컴퓨팅을 기반으로 한 유시티 비디오 관리 시스템을 제안한다. 또한, 근래 주목받고 있는 데이터 병렬처리 프레임워크인 Hadoop MapReduce를 이용하여 이러한 빅데이터 비디오를 분석하는 방법을 제안하고, 이에 따른 우리의 성능 평가를 소개한다.

Aspirin 결정화 과정 중 특성변화의 NIR 인라인 모니터링 연구 (Study of NIR in-line Monitoring of Physicochemical Changes during the Crystallization Process of Aspirin)

  • 이혜은;왕인천;이민정;서다영;신상문;최용선;최광진
    • Korean Chemical Engineering Research
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    • 제48권6호
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    • pp.757-762
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    • 2010
  • 제약산업에서 최종의약품의 품질과 성능은 결정분말의 크기, 모양 및 다형체 등에 의해서 크게 달라지므로, 원료의약품(API)의 결정화 공정은 매우 중요한 제약공정이다. 본 연구에서는 NIR 분광기와 광섬유 탐침을 이용하여, API 결정화 공정을 인라인 모니터링하여, 결정화 진행과정에서 핵성성, 결정성장, 다형체 등의 주요 특성을 실시간으로 감시하고 예측할 수 있는지를 탐구하였다. NIR 스펙트럼 분석에는 주요인분석법(PCA)을 적용하였고, 잘 알려진 aspirin를 대상 API로 하여 에탄올과 아세톤의 용매 혼합비율에 따른 결정특성 변화를 관찰하였다. 여러 특성분석 결과, 생성되는 aspirin 결정체의 다형은 용매 혼합비에는 무관하게 상온에서 가장 안정상인 form-I이었지만, 핵생성 개시점, 결정입도 및 결정의 형상은 용매의 혼합비에 따라 크게 달라진다는 것을 확인하였다. 이러한 결과는 NIR 스펙트럼의 PCA 해석결과와 매우 긴밀한 상관성을 보여주었다. 결론적으로, NIR 인라인 모니터링을 통해서, 약물의 결정화 과정에서 관심사가 되는 주요 결정특성을 실시간으로 관찰하고 예측할 수 있음이 실증되었다.

구어체 말뭉치의 어휘 사용 특징 분석 및 감정 어휘 사전의 자동 구축 (Analyzing Vocabulary Characteristics of Colloquial Style Corpus and Automatic Construction of Sentiment Lexicon)

  • 강승식;원혜진;이민행
    • 스마트미디어저널
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    • 제9권4호
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    • pp.144-151
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    • 2020
  • 모바일 환경에서 의사소통은 SMS 문자로 이루어진다. SMS 문자에서 사용되는 어휘들은 일반적인 한국어 문어체 문장에서 사용되는 어휘들과 다른 부류의 어휘들이 사용될 것으로 예상할 수 있다. 예를 들어, 일반적인 문어체의 경우 문장의 시작이나 끝맺음이 올바르고 문장의 구성요소가 잘 갖추어졌지만, SMS 문자 말뭉치의 경우 구성요소를 생략 및 간략한 표현으로 대체하는 경우가 많다. 이러한 어휘 사용 특성을 분석하기 위하여, 기존에 구축된 구어체 말뭉치와 문어체 말뭉치를 사용한다. 실험에서는 구어체 말뭉치인 SMS 문자 말뭉치와 네이버 영화평 말뭉치, 그리고 문어체 말뭉치인 한국어 문어체 원시 말뭉치의 어휘사용 특성을 비교-분석한다. 말뭉치별 어휘 비교 및 분석을 위하여 품사 태그 형용사(VA)를 기준으로 하였고, 공연강도를 측정하기 위해 변별적 공연어휘소 분석 방법론을 사용하였다. 그 결과 '좋-', '죄송하-', '즐겁-' 등 감정표현 형용사들이 SMS 문자 말뭉치에서 선호되는 반면, 네이버 영화평 말뭉치에서는 평가 표현과 관련된 형용사들이 선호되는 것을 확인할 수 있었다. 이러한 과정에서 추출된 공연강도가 높은 형용사를 기준으로 감정어휘 사전을 자동 구축하기 위하여 단어 임베딩 기법을 사용하였으며, 총 343,603개의 감성어휘를 자동 구축하였다.

PLN 성분 분석을 통한 전기장센서 기반 손동작신호 추출 (Hand Motion Signal Extraction Based on Electric Field Sensors Using PLN Spectrum Analysis)

  • 정선일;김영철
    • 스마트미디어저널
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    • 제9권4호
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    • pp.97-101
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    • 2020
  • 본 연구에서는 센서상의 전하량 변화를 통하여 전위차를 측정할 수 있는 수동형 전기장센서를 이용하여 사람의 손동작에 의해 유발되는 신호를 측정 장치의 전원이나 주변 전력선에 의해 센서에 유입되는 잡음(PLN: Power Line Noise)의 고조파 성분을 분석하여 동작신호를 검출하고 추출하는 연구를 수행 한다. 전기장 센서에 유입되는 전력선잡음으로 센서가 사람의 존재, 접근, 동작에 의해 영향 받는 사실을 이용해 PLN의 주성분인 60Hz 고조파 성분의 스펙트럼분석을 수행하여 PLN 신호의 증가 또는 감소를 식별할 수 있고 상대적으로 동작에 민감한 120Hz 성분을 이용한다. FFT를 사용하여 120Hz의 신호성분이 특정 임계값을 통과할 때 신호를 검출하는 방법이다. 동작이 탐지되는 경우 임계값을 기준으로 프레임을 결정한다. 본 연구의 방법을 이용하여 얻은 동작 감지 성공률은 약 90% 수준을 달성하였다. 이렇게 감지된 동작신호로 추출한 프레임의 정확도는 약 85%이다. 수동형 전기장 센서를 이용하여 동작신호를 PLN을 이용하여 동작검출에 이용한 연구사례는 국내외적으로 드문 사례이며, 본 논문에서는 PLN이 상존하는 실내 적용환경에서 유망하게 활용될 수 있다.

두꺼비 서식지 적합성 지수(HSI) 모델개발을 위한 연구 (A Study on the Development of "Bufo gargarizans" Habitat Suitability Index(HSI))

  • 조근영;구본학
    • 한국환경복원기술학회지
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    • 제25권2호
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    • pp.23-38
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    • 2022
  • This study investigates the characteristics and physical habitat requirements for each Bufo gargarizans life history through a literature survey. After deriving variables for each component of Bufo gargarizans, in order to reduce regional deviations from eight previously studied literature research areas for deriving the criteria for variables, a total of 12 natural habitats of Bufo gargarizanss are selected as spatial ranges by selecting four additional sites such as Umyeonsan Ecological Park in Seoul, Wonheungibangjuk in Cheongju in the central region, Changnyeong Isan Reservoir in the southern region, and Mangwonji in Daegu. This study presents Bufo gargarizans SI, a species endemic to Korea, whose population is rapidly declining due to large-scale housing site development and road development, and develops a Bufo gargarizans HSI model accordingly to improve the function of the damaged Bufo gargarizans habitat and to present an objective basis for site selection of alternative habitat. At the same time, it provides basic data for adaptive management and follow-up monitoring. The three basic habitat requirements of amphibians, the physical habitat requirements of Bufo gargarizans, synthesized with shelter, food, and water, and the characteristics of each life history, are classified into five components by adding space and threats through literature research and expert advice. Variables are proposed by synthesizing and comparing the general characteristics of amphibians, among the previously studied single species of amphibians, the components of HSI of goldfrogs and Bufo gargarizans, and the ecological and physical environmental characteristics of Bufo gargarizans. Afterwards, through consultation with an amphibian expert, a total of 10 variables are finally presented by adjacent forest area(ha), the distance between spawning area and the nearest forest land(m), the soil, the distance from the wetland(m), the forest layered structure, the low grassland space, the permanent wetland area(ha), shoreline slope(%), PH, presence of predators, distance from road(m), presence or absence of obstacles. n order to derive the final criteria for each of the 10 variables, the criteria(alternative) for each variable are presented through geographic information analysis of the site survey area and field surveys of the previously studied literature research area. After a focus group interview(FGI) of 30 people related to the Bufo gargarizans colony in Cheongju, a questionnaire and in-depth interviews with three amphibians experts are conducted to verify and supplement the criteria for each final variable. Based on the finally developed Bufo gargarizans HSI, the Bufo gargarizans habitat model is presented through the SI graph model and the drawing centering on the Bufo gargarizans spawning area