• 제목/요약/키워드: Device identification

검색결과 387건 처리시간 0.026초

Real-time model updating for magnetorheological damper identification: an experimental study

  • Song, Wei;Hayati, Saeid;Zhou, Shanglian
    • Smart Structures and Systems
    • /
    • 제20권5호
    • /
    • pp.619-636
    • /
    • 2017
  • Magnetorheological (MR) damper is a type of controllable device widely used in vibration mitigation. This device is highly nonlinear, and exhibits strongly hysteretic behavior that is dependent on both the motion imposed on the device and the strength of the surrounding electromagnetic field. An accurate model for understanding and predicting the nonlinear damping force of the MR damper is crucial for its control applications. The MR damper models are often identified off-line by conducting regression analysis using data collected under constant voltage. In this study, a MR damper model is integrated with a model for the power supply unit (PSU) to consider the dynamic behavior of the PSU, and then a real-time nonlinear model updating technique is proposed to accurately identify this integrated MR damper model with the efficiency that cannot be offered by off-line methods. The unscented Kalman filter is implemented as the updating algorithm on a cyber-physical model updating platform. Using this platform, the experimental study is conducted to identify MR damper models in real-time, under in-service conditions with time-varying current levels. For comparison purposes, both off-line and real-time updating methods are applied in the experimental study. The results demonstrate that all the updated models can provide good identification accuracy, but the error comparison shows the real-time updated models yield smaller relative errors than the off-line updated model. In addition, the real-time state estimates obtained during the model updating can be used as feedback for potential nonlinear control design for MR dampers.

최적화 생산시스템 모델 개발을 위한 양돈시설의 조사 연구 (Study on the Swine Farming Facilities by Survey for the Development of the Optimum Production System Models)

  • 장동일;이봉덕;조한근;장홍희
    • 한국축산시설환경학회지
    • /
    • 제2권1호
    • /
    • pp.1-11
    • /
    • 1996
  • 본 연구는 사육, 급사, 급수, 번식, 건강 관리, 환기 및 열 관리, 자료 분석 등에 대한 기계화 및 자동화의 현황과 수준을 분석 평가하고, 이를 토대로 양돈 시설의 최적화 생산 시스템 모델 개발의 연구 방향을 설정하기 위하여 수행되었으며 앞으로의 연구 방향을 다음과 같이 설정하였다. 1) 종모돈, 종빈돈, 분만돈은 단사식으로 사육하고, 자돈, 육성돈, 비육돈은 군사식으로 사육하는 것과 돈방 배열은 복열식으로 하는 것을 기준으로 한국형 환경 제어용 스라트 무창돈사를 개발한다. 2) 한국형 환경 제어용 스라트 무창돈사에 적합한 환경 제어 시스템과 분뇨 처리 시스템을 개발한다. 3) 전자식 개체식별장치를 개발한다. 4) 전자식 개체식별장치와 컴퓨터를 이용한 자동 개체 습식 급사 시스템을 개발한다. 5) 번식돈을 위한 전자식 개체식별장치에 의한 개체 관리 시스템을 개발한다. 6) 건강 관리 및 자료 분석 등을 종합 관리할 수 있는 전문가 시스템을 개발한다.

  • PDF

손등 정맥 패턴을 이용한 개인식별 알고리즘의 회전 보상에 관한 연구 (A Study on A Rotation Compensation of Person Identification Algorithm Utilizing Hand Vein Pattern)

  • 안장용;주일용;최환수
    • 대한전자공학회:학술대회논문집
    • /
    • 대한전자공학회 2000년도 추계종합학술대회 논문집(4)
    • /
    • pp.251-254
    • /
    • 2000
  • This paper proposes an enhanced algorithm for person identification system utilizing hand vein pattern. The conventional algorithm does not cope with distortion caused by image rotation caused by misplaced hands on the imaging device. A straightforward approach to consider the rotaional compensation required too much computational load, thus, we devised an approach to expect the rotation direction along with image translation, reducing the compuational requirement dramatically In this paper, we present the details of the algorithm with experimental results with the new algorithm.

  • PDF

DACUM 법을 활용한 유비쿼터스 의료전자기기 전문가의 직무분석 (Job Analysis of Ubiquitous Medical Electronic Device Export by the Method of DACUM)

  • 조동헌;구경완
    • 전기학회논문지
    • /
    • 제62권8호
    • /
    • pp.1192-1197
    • /
    • 2013
  • In this paper Ubiquitous Medical Electronic Device Export was defined, and it's job analysis. The authors have been defined the job and classified duties and tasks of Ubiquitous Medical Electronic Device Export. To fine what is the most efficient task for Ubiquitous Medical Electronic Device Export, we have been investigated the levels of importance, difficulty, frequency and entry in each task. A DACUM committee is composed of total 12 members, which are one facilitator, 10 panel members, one coordinator & recorder to analyze the job of Ubiquitous Medical Electronic Device Export. Following is the result of this study. First, The process began with the identification of a job title and definition of Ubiquitous Medical Electronic Device Export. Second, a job model of Ubiquitous Medical Electronic Device Export is constructed based on the results of DACUM job analysis. 5 duties and 33 tasks are analyzed. Third, occupational specification was drawn up in consultation with SME council. Fourth, duty specification was drawn up in consultation. 33 tasks that are essential in entry level of occupation are identified. Fifth, task specification was drawn up in consultation. Detail task component which include skill, materials, knowledge, equipment, achievement level and tool was specified in task specification.

SAW 디바이스를 이용한 냄새물질 측정 및 냄새센서 시스템의 연구 (Detection of odorants and study on the odorant sensor system by using SAW device)

  • 장상목;김기영;김종민;최용성;권영수
    • E2M - 전기 전자와 첨단 소재
    • /
    • 제8권1호
    • /
    • pp.48-55
    • /
    • 1995
  • A surface acoustic wave (SAW) sensor for the detection of odorants has been constructed by depositing various phospholipids and fatty acids onto the surface of the SAW device. The characteristics of a SAW device operating at 310 MHz deposited with silicon monoxide were analyzed. Menthone, amylacetate, acetoin, and other organic gases show different affinities to the coated lipids. An explanation is given for different odorant affinities based on the monolayer properties of phospholipids. The identification of odorants depending on the tkpe of lipid used for coating is discussed in terms of the similarity of their normalized resonant frequency shift patterns. Using a number of different lipid-coated SAW devices, odorants can be identified by a computerized pattern recognition algorithm.

  • PDF

선박 안전항해를 위한 해무감지 경보 시스템 (Ocean Fog Detection Alarm System for Safe Ship Navigation)

  • 이창영
    • 한국항행학회논문지
    • /
    • 제24권6호
    • /
    • pp.485-490
    • /
    • 2020
  • 최근 국내 조선 산업과 IT융합기술에 대한 연구가 활발한 가운데 선박 안전운항을 위한 위성탐지 기술 발달로 선박에서는 장거리 식별추적 장치 및 자동식별 장치의 의무화로 선박이동 상황을 모니터링 할 수 있어 안전항해에 도움을 주고 있으나, 무중항해 시 시정 상태를 레이다에 의존하는 항해사에게 위험을 경보해 줄 수 있는 안전장치 개발이 필요하다. 이에 광센서를 이용하여 감지하고 알려주는 해무 감지 경보 시스템을 개발하였다. 제작된 해무 감지 경보 시스템은 소형, 저 전력의 광센서 송수신기와 센싱 데이터 처리 모듈로 구성되었다. 시험을 통해 해무가 있는 경우와 없는 경우 각각에 대해 제작된 해무 경보 시스템은 해무 농도를 검출하는 것을 확인하였다. 또한 해무 농도에 따라 선박 엔진 RPM 조절이 가능하고, 결과적으로 선박의 안전 운항을 보조 장치로 활용 가능함을 확인하였다.

Feasibility of Revision Cochlear Implant Surgery for Better Speech Comprehension

  • Hwang, Kyurin;Lee, Jae Yong;Oh, Hyeon Seok;Lee, Byung Don;Jung, Jinsei;Choi, Jae Young
    • Journal of Audiology & Otology
    • /
    • 제23권2호
    • /
    • pp.112-117
    • /
    • 2019
  • Background and Objectives: The purpose of this study was to evaluate the efficacy of revision cochlear implant (CI) surgery for better speech comprehension targeting patients with low satisfaction after first CI surgery. Subjects and Methods: Eight patients who could not upgrade speech processors because of an too early CI model and who wanted to change the whole system were included. After revision CI surgery, we compared speech comprehension before and after revision CI surgery. Categoies of Auditory Performance (CAP) score, vowel and consonant confusion test, Ling 6 sounds, word and sentence identification test were done. Results: The interval between surgeries ranged from eight years to 19 years. Same manufacturer's latest product was used for revision surgery in six cases of eight cases. Full insertion of electrode was possible in most of cases (seven of eight). CAP score (p-value=0.01), vowel confusion test (p-value=0.041), one syllable word identification test (p-value=0.026), two syllable identification test (p-value=0.028), sentence identification test (p-value=0.028) had significant improvement. Consonant confusion test (p-value=0.063), Ling 6 sound test (p-value=0.066) had improvement but it is not significant. Conclusions: Although there are some limitations of our study design, we could identify the effect of revision (upgrade) CI surgery indirectly. So we concluded that if patient complain low functional gain or low satisfaction after first CI surgery, revision (device upgrade) CI surgery is meaningful even if there is no device failure.

Feasibility of Revision Cochlear Implant Surgery for Better Speech Comprehension

  • Hwang, Kyurin;Lee, Jae Yong;Oh, Hyeon Seok;Lee, Byung Don;Jung, Jinsei;Choi, Jae Young
    • 대한청각학회지
    • /
    • 제23권2호
    • /
    • pp.112-117
    • /
    • 2019
  • Background and Objectives: The purpose of this study was to evaluate the efficacy of revision cochlear implant (CI) surgery for better speech comprehension targeting patients with low satisfaction after first CI surgery. Subjects and Methods: Eight patients who could not upgrade speech processors because of an too early CI model and who wanted to change the whole system were included. After revision CI surgery, we compared speech comprehension before and after revision CI surgery. Categoies of Auditory Performance (CAP) score, vowel and consonant confusion test, Ling 6 sounds, word and sentence identification test were done. Results: The interval between surgeries ranged from eight years to 19 years. Same manufacturer's latest product was used for revision surgery in six cases of eight cases. Full insertion of electrode was possible in most of cases (seven of eight). CAP score (p-value=0.01), vowel confusion test (p-value=0.041), one syllable word identification test (p-value=0.026), two syllable identification test (p-value=0.028), sentence identification test (p-value=0.028) had significant improvement. Consonant confusion test (p-value=0.063), Ling 6 sound test (p-value=0.066) had improvement but it is not significant. Conclusions: Although there are some limitations of our study design, we could identify the effect of revision (upgrade) CI surgery indirectly. So we concluded that if patient complain low functional gain or low satisfaction after first CI surgery, revision (device upgrade) CI surgery is meaningful even if there is no device failure.

무인항공기 시스템을 활용한 선박 식별 및 도시 시스템 개발 (Development of Ship Identification and Display System using Unmaned Aerial Vehicle System)

  • 최성민;고윤호;강영신
    • 한국항공우주학회지
    • /
    • 제44권10호
    • /
    • pp.862-870
    • /
    • 2016
  • 선박의 안전한 운항과 자동입출항을 관리하기 위해서 사용되는 선박위치 발신장치(AIS, V-PASS)는 모든 선박에 의무적으로 장착하는 표준장비이다. 선박위치 발신장치를 활용한 선박식별 시스템을 항공기에 탑재하여 대형 어업지도선이나 경비함 등의 선박 및 지상 시스템에서 선박식별정보를 수신할 수 있게 되면 해양감시와 재난대응을 신속하게 수행할 수 있다. 본 논문은 항공기용 통합 선박식별 장치를 활용한 선박식별 및 도시 시스템의 개발 및 비행시험결과와 향후의 활용방안에 대해 기술하였다.

News Article Identification Methods with Fact-Checking Guideline on Artificial Intelligence & Bigdata

  • Kang, Jangmook;Lee, Sangwon
    • International Journal of Advanced Culture Technology
    • /
    • 제9권3호
    • /
    • pp.352-359
    • /
    • 2021
  • The purpose of this study is to design and build fake news discrimination systems and methods using fact-checking guidelines. In other words, the main content of this study is the system for identifying fake news using Artificial Intelligence -based Fact-checking guidelines. Specifically planned guidelines are needed to determine fake news that is prevalent these days, and the purpose of these guidelines is fact-checking. Identifying fake news immediately after seeing a huge amount of news is inefficient in handling and ineffective in handling. For this reason, we would like to design a fake news identification system using the fact-checking guidelines to create guidelines based on pattern analysis against fake news and real news data. The model will monitor the fact-checking guideline model modeled to determine the Fact-checking target within the news article and news articles shared on social networking service sites. Through this, the model is reflected in the fact-checking guideline model by analyzing news monitoring devices that select suspicious news articles based on their user responses. The core of this research model is a fake news identification device that determines the authenticity of this suspected news article. So, we propose news article identification methods with fact-checking guideline on Artificial Intelligence & Bigdata. This study will help news subscribers determine news that is unclear in its authenticity.