• Title/Summary/Keyword: 자동 응답

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Target Detection Using Texture Features and Neural Network in Infrared Images (적외선영상에서 질감 특징과 신경회로망을 이용한 표적탐지)

  • Sun, Sun-Gu
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.47 no.5
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    • pp.62-68
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    • 2010
  • This study is to identify target locations with low false alarms on thermal infrared images obtained from natural environment. The proposed method is different from the previous researches because it uses morphology filters for Gabor response images instead of an intensity image in initial detection stage. This method does not need precise extracting a target silhouette to distinguish true targets or clutters. It comprises three distinct stages. First, morphological operations and adaptive thresholding are applied to the summation image of four Gabor responses of an input image to find out salient regions. The locations of extracted regions can be classified into targets or clutters. Second, local texture features are computed from salient regions of an input image. Finally, the local texture features are compared with the training data to distinguish between true targets and clutters. The multi-layer perceptron having three layers is used as a classifier. The performance of the proposed method is proved by using natural infrared images. Therefore it can be applied to real automatic target detection systems.

Development of Statistical/Probabilistic-Based Adaptive Thresholding Algorithm for Monitoring the Safety of the Structure (구조물의 안전성 모니터링을 위한 통계/확률기반 적응형 임계치 설정 알고리즘 개발)

  • Kim, Tae-Heon;Park, Ki-Tae
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.20 no.4
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    • pp.1-8
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    • 2016
  • Recently, buildings tend to be large size, complex shape and functional. As the size of buildings is becoming massive, the need for structural health monitoring(SHM) technique is ever-increasing. Various SHM techniques have been studied for buildings which have different dynamic characteristics and are influenced by various external loads. Generally, the visual inspection and non-destructive test for an accessible point of structures are performed by experts. But nowadays, the system is required which is online measurement and detect risk elements automatically without blind spots on structures. In this study, in order to consider the response of non-linear structures, proposed a signal feature extraction and the adaptive threshold setting algorithm utilized to determine the abnormal behavior by using statistical methods such as control chart, root mean square deviation, generalized extremely distribution. And the performance of that was validated by using the acceleration response of structures during earthquakes measuring system of forced vibration tests and actual operation.

Simulation and Experimental Study on the Impact of Light Railway Train Bridge Due to Concrete Rail Prominence (주행면 단차에 의한 경량전철 교량의 충격 시뮬레이션 및 실험)

  • Jeon, Jun-Tai;Song, Jae-Pil
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.1A
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    • pp.45-52
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    • 2010
  • This study pointed on the dynamic impact of AGT (Automated Guide-way Transit) bridge, due to concrete rail prominence. An experiment was done with 30 m P.S.C. bridge in AGT test line in Kyungsan. An artificial prominence with 10 mm hight, was installed at the mid span of concrete rail. And computer simulation was executed for the artificial prominence. As an experiment result, in the case of with prominence, bridge acceleration responses are increased 50% at the speed range of 20 km/h-60 km/h, and bridge displacement responses increased slightly. With these results, the prominence of concrete rail can be induce excess impact and vibration. And the computer program simulated much the same as experiments. So this program can be used for AGT bridge design and formulate the standard of concrete rail management.

An Interactive Approach to Categorize Questions on the Internet BBSs (인터넷 게시판 질문 분류를 위한 인터랙티브 접근방법에 관한 연구)

  • Jae-Kwang Lee;Seong-Ho Noh;Ok-Hyun Ryou
    • The Journal of Society for e-Business Studies
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    • v.8 no.3
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    • pp.177-195
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    • 2003
  • In a traditional customer support environment, mainly call centers or service centers are responsible for receiving inquiries from their customers via telephone calls. Due to the rapid growth of Internet with its widespread acceptance and accessibility, means of communication with customers in the traditional customer support center, such as telephones, letters, and direct-visiting, have been replaced by e-mails and bulletin board systems (BBSs) using the Internet constantly. BBSs are basically question and answer systems, they require some lead time to get answer from administrator. To reduce lead time, BBSs enable remote customers or users to log on and tap into a knowledge database that is generally formatted in the form of Frequently Asked Questions (FAQs) that provide answers and solutions to the common problems. And, many different types of the questions are mixed on the BBS. It is a burden to administrator. To build FAQs and to support BBS adminstrator, a supporting tool which is to categorize questions is helpful. In this research, we suggest an interactive question categorizing methodology which consists of steps to present question using keywords, identifying keywords' affinity, computing similarity among questions, and clustering questions. This methodology allows users to interact iteratively for clear manifestation of ambiguous questions. We also developed a prototype system, IQC (interactive question categorizer) and evaluated its performance using the comparison experiments with other systems. IQC is not a general purposed system, but it produces a good result in a given specific domain.

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Study on the Operation Characteristics of Heat Detectors through Fire and Wind Tunnel Experiment (풍동실험과 화재실험을 통한 열감지기의 동작특성에 관한 연구)

  • Ryu, Hocheol;Kim, Doohyun
    • Journal of the Society of Disaster Information
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    • v.11 no.2
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    • pp.203-209
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    • 2015
  • The heat detector detects heat in the fire and is an important core element of the automatic fire alarm system used generally for every fire prevention objects. The heat detector is distinguished in spot type and spread type and in spot type, there are differential and thermistor types. These heat detectors give a great influence on the loss of people and property according to the sensitivity of response such as operation time and operation temperature in actual fire and in overseas people apply it for the development of products that can be operated in the early stage of fire including certification, quality management, and comparison standard by introducing response time index through the theory of heat balance that considers the heat loss and ventilation tests. In Korea, the response time index is introduced and used in the head of sprinkler products, but it is not applied to the heat detector at present. It is necessary to introduce the response time index that shows the sensitivity of response of the heat detector the installation standard for the heat detector that the response time index is applied should be different according to the fire weight, danger degree of fire, and shape of buildings. Through this study, it tries to help reduce lives and property of people through the swift warning by installing detectors suitable for the building structure.

Optimization of Wind Turbine Pitch Controller by Neural Network Model Based on Latin Hypercube (라틴 하이퍼큐브 기반 신경망모델을 적용한 풍력발전기 피치제어기 최적화)

  • Lee, Kwangk-Ki;Han, Seung-Ho
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.36 no.9
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    • pp.1065-1071
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    • 2012
  • Wind energy is becoming one of the most preferable alternatives to conventional sources of electric power that rely on fossil fuels. For stable electric power generation, constant rotating speed control of a wind turbine is performed through pitch control and stall control of the turbine blades. Recently, variable pitch control has been implemented in modern wind turbines to harvest more energy at variable wind speeds that are even lower than the rated one. Although wind turbine pitch controllers are currently optimized using a step response via the Ziegler-Nichols auto-tuning process, this approach does not satisfy the requirements of variable pitch control. In this study, the variable pitch controller was optimized by a genetic algorithm using a neural network model that was constructed by the Latin Hypercube sampling method to improve the Ziegler-Nichols auto-tuning process. The optimized solution shows that the root mean square error, rise time, and settle time are respectively improved by more than 7.64%, 15.8%, and 15.3% compared with the corresponding initial solutions obtained by the Ziegler-Nichols auto-tuning process.

Reply-Type based Agent Generation of Legacy Service on One-way data transfer system (일방향 자료전달 시스템의 레거시 서비스 지원을 위한 응답구조 기반 에이전트 자동 생성)

  • Kim, Kyoung-Ho;Chang, Yeop;Kim, Hee-Min;Yun, Jeong-Han;Kim, Woo-Nyon
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.23 no.2
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    • pp.299-305
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    • 2013
  • Physical One-way Transfer, one of network Separating Network Technologies, shut off intrusion possibilities by removing data transfer line from external network to internal network. Physical One-way Transfer technology can not support legacy services based duplex transmission. Legacy services operating need agent for extra service with the support. But, Agent development have problems with adding cost and open internal protocols. In this papers, We analyzed legacy services between Control network and OA network in working SCADA systems, and based on the results obtained from the analysis, categorized the legacy services into three forms. We propose an agent generation method of the three service categories for Physical One-Way Transfer System. In addition, we design an automatic generation tool using the proposed method.

A Digital Auto-Focusing Algorithm Using Point spread function Estimation Image Restoration (초점불완전 열화추정 및 영상복원기법을 사용한 자동초점시스템)

  • Kim, Sang-Ku;Park, Sang-Rae;Paik, Joon-Ki
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.2
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    • pp.57-62
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    • 1999
  • Estimation of the point spread function (PSF) is one of the main research topic of image processing, because it determines the performance of the auto-focusing system. In this paper, a new algorithm for PSF estimation is proposed, and its application to image restoration is also presented. The procedure for complete realization of the auto-focusing system consists of two steps: PSF estimation based on edge classification, and image restoration using the estimated PSF. More specifically, we divide imput image into multiple small image or block, estimate unit step response and average them on the blocks which contain edge, and estimate 2-dimensional isotropic PSF from the 1 dimensional step response. Finally we obtain in-focused image by using image restoration based on the estimated PSF.

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Design of Auto Tuning Fuzzy Controller for Vibration Suppression (진동억제를 위한 자동추정 퍼지제어기 설계)

  • Park, Jae-Hyung;Kim, Sung-Dae
    • Journal of the Institute of Electronics Engineers of Korea TE
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    • v.39 no.2
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    • pp.118-123
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    • 2002
  • A torque transmission system, which is composed of serveral gears and couplings, is flexible. Therefore, the torsion vibration occurs when the motor speed abruptly changes. Consequently, for accuracy characteristic response of motor, we must suppressed vibration. Therefore, vibration suppression is very important motor control. In order to suppress the vibration, various control method have been proposed. Specially, one method of vibration suppression is used disturbance observer and filter. The disturbance observer is used to suppress the vibration in this method. By feedback of the estimated torsion torque, the vibration can be suppressed. The coefficient diagram method is used to design the filter and proportional controller. But using coefficient diagram method, not adapted controller parameter in disturbance. In order to solve this problem. we used fuzzy controller for auto tuning controller parameter $K_P$. We proved of this approach is confirmed by simulation. 

Judgment about the Usefulness of Automatically Extracted Temporal Information from News Articles for Event Detection and Tracking (사건 탐지 및 추적을 위해 신문기사에서 자동 추출된 시간정보의 유용성 판단)

  • Kim Pyung;Myaeng Sung-Hyon
    • Journal of KIISE:Software and Applications
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    • v.33 no.6
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    • pp.564-573
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    • 2006
  • Temporal information plays an important role in natural language processing (NLP) applications such as information extraction, discourse analysis, automatic summarization, and question-answering. In the topic detection and tracking (TDT) area, the temporal information often used is the publication date of a message, which is readily available but limited in its usefulness. We developed a relatively simple NLP method of extracting temporal information from Korean news articles, with the goal of improving performance of TDT tasks. To extract temporal information, we make use of finite state automata and a lexicon containing time-revealing vocabulary. Extracted information is converted into a canonicalized representation of a time point or a time duration. We first evaluated the extraction and canonicalization methods for their accuracy and investigated on the extent to which temporal information extracted as such can help TDT tasks. The experimental results show that time information extracted from text indeed helps improve both precision and recall significantly.