• Title/Summary/Keyword: Automatic detection

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Automatic Lifelog Tagging through Context Detection in the Smart Phone (스마트폰 환경에서 사용자의 컨텍스트 추출을 통한 라이프로그 자동 태깅 기법)

  • Kim, Byeong-Jun;Kim, Tak-Eun;Lee, Ki-Yong;Kim, Myoung-Ho
    • Proceedings of the Korean Information Science Society Conference
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    • 2010.06c
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    • pp.84-89
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    • 2010
  • 최근 스마트폰의 성능이 향상되고 다양한 기능이 추가됨에 따라 기록되는 라이프로그 정보가 급격히 증가하고 있다. 이에 따라 라이프로그를 체계적으로 저장하고 검색하는 일이 중요해지고 있다. 사용자 컨텍스트는 라이프로그 검색의 정확도를 높이기 위한 중요한 요소 중 하나로 논의되어 왔다. 따라서 이를 자동으로 추출하고, 라이프로그의 태깅에 활용하려는 많은 연구가 시도되었다. 그러나 많은 기존 연구들은 컨텍스트를 추출하기 위해 사용자 주변에 센서가 설치되어 있는 환경을 가정하였는데, 이러한 환경은 비용 등의 문제로 일부 제한된 영역에서만 적용 가능하기 때문에, 광범위한 지역에서 사용자의 컨텍스트를 추출할 수 없다는 문제점이 있었다. 본 연구에서는 외부 센서들이 설치된 환경을 가정하지 않고, 스마트폰에 장착된 센서만을 활용하여 사용자의 컨텍스트를 찾아내고, 이를 라이프로그 자동 태깅에 적극 활용하는 방법에 대해 제안한다. 특히 본 연구에서는 기존의 포괄적인 컨텍스트의 정의를 일정 시간 간격동안 지속되는 사용자의 상황으로 한정지어 재정의하고, 이를 라이프로그 태깅에 활용하는 방법에 대해서 논의한다.

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A Effective Method for Feature Detection and Enhancement in Fingerprint Images (지문의 특징 검출 및 향상을 위한 전처리 기법 연구)

  • Yang, Ryong;No, Jung-Seok;Lee, Sang-Bum
    • Journal of the Korea Computer Industry Society
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    • v.3 no.12
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    • pp.1775-1784
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    • 2002
  • Fingerprint recognition technology is used in many biometrics field accordingly essential feature of fingerprint image and the study is progressing. However development is not perfect in performance of the fingerprint recognition and application of the usual life. In the paper, we study various necessity of preprocessing according to algorithm and circumstances of authentication system in automatic information machine. We prove that system circumstance and optation of fingerprints image effectively is the important factor by using optical fingerprint input device and scanning the fingerprint in ID card. And then we present correct and fast computation method for improving image and feature extraction of fingerprint. Also we study effective algorithm implementation of total system.

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System identification of a super high-rise building via a stochastic subspace approach

  • Faravelli, Lucia;Ubertini, Filippo;Fuggini, Clemente
    • Smart Structures and Systems
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    • v.7 no.2
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    • pp.133-152
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    • 2011
  • System identification is a fundamental step towards the application of structural health monitoring and damage detection techniques. On this respect, the development of evolved identification strategies is a priority for obtaining reliable and repeatable baseline modal parameters of an undamaged structure to be adopted as references for future structural health assessments. The paper presents the identification of the modal parameters of the Guangzhou New Television Tower, China, using a data-driven stochastic subspace identification (SSI-data) approach complemented with an appropriate automatic mode selection strategy which proved to be successful in previous literature studies. This well-known approach is based on a clustering technique which is adopted to discriminate structural modes from spurious noise ones. The method is applied to the acceleration measurements made available within the task I of the ANCRiSST benchmark problem, which cover 24 hours of continuous monitoring of the structural response under ambient excitation. These records are then subdivided into a convenient number of data sets and the variability of modal parameter estimates with ambient temperature and mean wind velocity are pointed out. Both 10 minutes and 1 hour long records are considered for this purpose. A comparison with finite element model predictions is finally carried out, using the structural matrices provided within the benchmark, in order to check that all the structural modes contained in the considered frequency interval are effectively identified via SSI-data.

Evaluation of Methodology for the Measurement of VOCs in the Air by Adsorbent Sampling and Thermal Desorption with GC Analysis (흡착포집 및 열탈착/GC 분석에 의한 공기 중 휘발성 유기화합물의 측정방법론 평가)

  • 백성옥;황승만;박상곤;전선주;김병주;허귀석
    • Journal of Korean Society for Atmospheric Environment
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    • v.15 no.2
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    • pp.121-138
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    • 1999
  • This study was carried out to evaluate the performance of a sampling and analytical methodology for the measurement of selected volatile organic compounds (VOCs) in the ambient air. VOCs were determined by the adsorbent tube sampling and automatic thermal desorption coupled with GC/FID and GC/MSD analysis. Target analytes were aromatic VOCs, including BTEX, 1,3,5-and 1,2,4,-trimethylbenzenes(TMBs), and naphthalene. The methodology was investigatedwith a wide range of performance criteria such as repeatability, linearity, lower detection limits, collection efficiency, thermal conditioning, breakthrough volume and calibration methods using internal and external standards. standards. Stability of samples collected on adsorbent tubes during storage was also investigated. In addition, the sampling and analytical method developed during this study was applied to real samples duplicately collected in various indoor and outdoor environments. Precisions for the duplicate samples and distributed volume samples appeared to be well comparable with the performance criteria recommended by USEPA TO-17. The audit accuracy was estimated by inter-lab comparison of both duplicate samples and standard materials between the two independent labs. The overall precision and accuracy of the method were estimated to be within 30% for major aromatic VOCs such as BTEX. This study demonstrated that the adsorbent sampling and thermal desorption method can be reliably applied for the measurement of BTEX in ppb levels frequently occurred in common indoor and ambient environments.

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Taking a Jump Motion Picture Automatically by using Accelerometer of Smart Phones (스마트폰 가속도계를 이용한 점프동작 자동인식 촬영)

  • Choi, Kyungyoon;Jun, Kyungkoo
    • Journal of KIISE
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    • v.41 no.9
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    • pp.633-641
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    • 2014
  • This paper proposes algorithms to detect jump motion and automatically take a picture when the jump reaches its top. Based on the algorithms, we build jump-shot system by using accelerometer-equipped smart phones. Since the jump motion may vary depending on one's physical condition, gender, and age, it is critical to figure out common features which are independent from such differences. Also it is obvious that the detection algorithm needs to work in real-time because of the short duration of the jump. We propose two different algorithms considering these requirements and develop the system as a smart phone application. Through a series of experiments, we show that the system is able to successfully detect the jump motion and take a picture when it reaches the top.

Automatic Detection and Extraction of Transliterated Foreign Words Using Hidden Markov Model (은닉 마르코프 모델을 이용한 음차표기된 외래어의 자동인식 및 추출 기법)

  • 오종훈;최기선
    • Korean Journal of Cognitive Science
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    • v.12 no.3
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    • pp.19-28
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    • 2001
  • In this paper, we describe an algorithm for transliterated foreign word extraction in Korean language. In the proposed method we reformulate the transliterated foreign word extraction problem as a syllable-tagging problem such that each syllable is tagged with a transliterated foreign syllable tag or a pure Korean syllable tag. Syllable sequences of Korean strings ale modeled by Hidden Markov Model whose state represents a character with binary marking to indicate whether the character forms a Korean word or not. The proposed method extracts a transliterated foreign word with high recall rate and precision rate. Moreover, our method shows good performance even with small-sized training corpora.

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Brain MRI Semi-Automatic Segmentation Algorithm for Medical Image Contents (의료영상 콘텐츠의 뇌 MR영상 반자동 영역 분할 알고리즘)

  • Kim Sin-Hong
    • The Journal of the Korea Contents Association
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    • v.5 no.3
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    • pp.45-51
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    • 2005
  • This paper emphasizes on the accomplishment of compensated proton density image and T2 weighted image taken from the shrinkage surface of the Brain. From the images, the Brain's surface shrinkage in the normal image and the surface shrinkage in the abnormal image can be observed. After the separation of white matter, gray matter, and CSF, this algorithm calculates the volume of each of them automatically. Results are subdivided into particular ages and saved in the database to be analyzed and to be processed statistically. Therefore, by using this algorithm the normal and abnormal stages can be detected in the early stages to diagnose. This result easily discernment Alzheimer patient and is useful for Alzheimer diagnostic and early detection.

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Characteristics of Ozone Advection in Vertical Observation Analysis Around Complex Coastal Area (연직관측자료를 통한 복잡 연안지역의 오존 이류특성)

  • Lee, Hwa-Woon;Park, Soon-Young;Lee, Soon-Hwan;Leem, Heon-Ho
    • Journal of Korean Society for Atmospheric Environment
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    • v.25 no.1
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    • pp.57-74
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    • 2009
  • In order to clarify the vertical ozone distribution in planetary boundary layer of coastal area with complex terrain, an observation campaign was carried out around Gwangyang Bay with dense pollutant emission sources during two days from June, 4 2007. For this observation are Radiosonde, SODAR(SOnic Detection And Ranging) and Tethered ozone sonde were employed. The surface meteorological and photochemical observation data provided by AWS (Automatic Weather System) and AQMS (Air Quality Monitoring System) were also applied for analysis. Synoptic condition is strongly associated with lower level ozone distribution in complex terrain coastal area. Since mesoscale circulation induced by difference of characteristics of land and sea and orographic forcing is predominant under calm synoptic condition, vertical distribution of ozone is complicate and vertical ozone concentration greatly fluctuated. However in second day when synoptic influence become strong, ozone concentration in lower levels is vertically uniform regardless of observation level. This results in vertical observation indicates that vertical ozone distribution is often determined by synoptic condition and also affects surface ozone concentration.

Development of Algorithm for Automatic Installation of Detection Area for Obtaining Traffic Information by Analyzing the Panning, Tilting Factors of CCTV Cameras on the Highway

  • Lee, In-Jung;Seong Namkoong;Min, Joon-Young;Yun, Byeong-Ju
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.26 no.10B
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    • pp.1436-1443
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    • 2001
  • 본 연구는 고속도로에 설치된 CCTV 카메라에서 교통량, 속도, 점유율 등의 교통정보를 수집하기 위하여 검지영역을 자동으로 설치하는 알고리즘을 제안한다. 이를 위하여 교통정보센터에 설치된 콘트롤러에서 CCTV 카메라의 Pan, Tilt, Zoom 요소값을 보내면 이 값만큼 CCTV 카메라가 panning, tilting이 되고, 이에 따른 변화된 영상이 교통정보센터로 전송이 된다. 기존의 연구로는 영상 내에서 도로를 추출하기 위하여 차 영상(difference image)에 의한 도로추출방법과 윤곽선 추출방법에 의한 도로추출 방법이 있으나, 전자는 도로를 추출하는데 있어서 시간이 많이 소요된다는 문제점이 있으며, 후자는 정확한 도로를 추출하지 못한다는 문제점이 있다. 이러한 문제를 해결하기 위하여 본 연구에서는 우선 각 차로 상의 직선의 방정식을 구하고, 이 직선의 방정식에서 CCTV 카메라가 Panning, Tilting하는 중심점을 찾은 다음 CCTV 카메라의 Pan, Tilt 값에 의하여 3차원상의 원근비율에 따라 각 차로 별 좌표변환방법을 이용한다. 본 연구를 위한 실험은 고속도로 기흥IC에 15m 높이로 설치된 CCTV 카메라에서 영상을 캡쳐하였으며, 차후 교통량, 속도, 점유율 등 교통정보를 산출하는데 처리 속도를 고려하여 영상의 해상도는 640480픽셀과 256명암값에서 계산되었다.

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Train Operation Display and Control Techniques for Communication Based Train Control System (무선통신 기반 열차제어시스템에서의 열차운행 표시 및 제어기법)

  • 최규형
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.53 no.9
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    • pp.545-551
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    • 2004
  • CBTC(Communication Based Train Control) System can improve train operation efficiency by realizing moving block system which makes a continuous train interval control in accordance with the position and speed of train. Adopting radio transmission to make a continuous detection of train position and transmit the control data from the ground to a train, CBTC needs dedicated train operation and control algorithm which should be quite different from the conventional track-circuit-based train control system. This paper provides a train operation display and control algorithm for CBTC system in making train interval control, train route control and train supervision. Signalling pattern diagram is devised to analyze the train interval control mechanism of moving block system, and interlocking logic is devised to represent the train route control mechanism of moving block system. For train supervision, train occupation status on railway are displayed by using the segment which virtually divide the whole railway. The proposed method has been successfully applied to the development of CBTC system for the standardized AGT(automatic guided transit) which is under construction now in Korea, and also can be applied to any other CBTC system.