• Title/Summary/Keyword: Event Recognition

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A design of situation output in the school zone (스쿨존에서 상황 출력에 대한 설계)

  • Park, Sangjoon;Lee, Jongchan;Shin, Sungyun;Park, Gihong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.666-667
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    • 2015
  • The situation recognition can be implemented by configuring several situation in the school zone system. Such the recognized situations can use the result informing to the event through appropriate output format. In this paper, we propose the design scheme of situation output in the school zone system.

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Recognition of Power Quality Problems using Neural Network (신경망을 이용한 전력품질 문제 인식)

  • Kim Hong-Kyun;Lee Jin-Mok;Choi Jae-Ho
    • Proceedings of the KIPE Conference
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    • 2006.06a
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    • pp.453-455
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    • 2006
  • This paper presents about recognition power quality problems using neural network. Neural network is a very powerful way to detect and classify power quality problems. But the transient like as very fast problems is difficult event to recognize. Wavelet transform is appropriate method for detecting signal irregularities. So we make features from wavelet transform. Finally we get high efficiency for detecting and classifying almost all power quality problems.

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Fuzzy Syntactic Pattern Recognition Approach for Extracting and Classifying Flaw Patterns from and Eddy-Current Signal Waveform

  • Kang, Soon-Ju
    • Journal of Electrical Engineering and information Science
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    • v.2 no.4
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    • pp.59-65
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    • 1997
  • In this paper, a general fuzzy syntactic method for recognition of flaw patterns and for the measurement of flaw characteristic parameters for a non-destructive inspections signal, called eddy-current, is presented. Solutions are given to the subtasks of primitive pattern selection, signal to symbol transformation, pattern grammar formulation, and event-synchronous flaw pattern extraction based on the grammars. Fuzzy attribute grammars are used as the model for the pattern grammar because of their descriptive power in the face of uncertain constraints caused by nose or distortion in the signal waveform, due to their ability to handle syntactic as well as semantic information. This approach has been implemented and the performance of eh resultant system has been evaluated using a library of law patterns obtained from steam generator tubes in nuclear power plants by an eddy current-based non-destructive inspection method.

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Tune Metal Ion Selectivity by Changing Working Solvent: Fluorescent and Colorimetric Recognition of Cu2+ by a Known Hg2+ Selective Probe

  • Tang, Lijun;Guo, Jiaojiao;Huang, Zhenlong
    • Bulletin of the Korean Chemical Society
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    • v.34 no.4
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    • pp.1061-1064
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    • 2013
  • A known $Hg^{2+}$ selective rhodamine B derivatised probe 1 was reinvestigated as a colorimetric and fluorescent probe for $Cu^{2+}$ through changing the applied solvent media. Probe 1 exhibited good selectivity and sensitivity to $Cu^{2+}$ in $CH_3CN-H_2O$ (7:3, v/v, HEPES 10 mM, pH 7.0) solution with a detection limit of $9.74{\times}10^{-7}$ M. The $Cu^{2+}$ sensing event was proved to be irreversible through hydrolysis of 1 to release rhodamine B.

Recognition of Car Driving Patterns using a 3-Axis Accelerometer and Orientation Sensor (3축 가속도 센서와 방향센서를 이용한 운전패턴 인식)

  • Song, Chung-Won;Nam, Kwang-Woo;Lee, Chang-Woo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2012.01a
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    • pp.7-10
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    • 2012
  • 본 논문에서는 스마트폰을 이용하여 도로 주행 정보를 기록하고 운전자에게 패턴 별 주행정보를 제공하는 라이프로그(Lifelog) 형태의 서비스에 목적을 두고 있다. 운전자의 도로 주행 데이터를 데이터베이스화한 이 정보는 다양하게 이용될 수 있다. 주행 패턴 인식은 이벤트 구간 검출 과정을 통한 패턴 구간을 검출하고 가속도 센서와 방향 센서, 즉 멀티 센서 기반으로 주행패턴을 인식한다. 주행 패턴을 분석 후 시간 정보를 이용하여 촬영된 영상 데이터에서의 패턴 구간 영상을 같이 제공한다. 이렇게 패턴 구간의 센서 스트리밍 정보와 영상을 제공하면 운전자의 운전 성향 및 주행 기록을 분석하는데 이용될 수 있다. 따라서 주행패턴 인식 알고리즘을 프로토타입으로 제안한다.

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Transfer Learning for Face Emotions Recognition in Different Crowd Density Situations

  • Amirah Alharbi
    • International Journal of Computer Science & Network Security
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    • v.24 no.4
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    • pp.26-34
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    • 2024
  • Most human emotions are conveyed through facial expressions, which represent the predominant source of emotional data. This research investigates the impact of crowds on human emotions by analysing facial expressions. It examines how crowd behaviour, face recognition technology, and deep learning algorithms contribute to understanding the emotional change according to different level of crowd. The study identifies common emotions expressed during congestion, differences between crowded and less crowded areas, changes in facial expressions over time. The findings can inform urban planning and crowd event management by providing insights for developing coping mechanisms for affected individuals. However, limitations and challenges in using reliable facial expression analysis are also discussed, including age and context-related differences.

Congenital Absence of the Bilateral Internal Carotid Arteries: a Case Report

  • Noh, Jihoon;Kang, Hyunkoo
    • Investigative Magnetic Resonance Imaging
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    • v.25 no.3
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    • pp.193-196
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    • 2021
  • Congenital absence of the bilateral internal carotid arteries (ICA) is a very rare occurrence. Recognition of this rare anomaly is important, when considering intracranial endovascular interventions in the event of thromboembolic events with revascularization, transsphenoidal surgery, and the surveillance and detection of associated cerebral aneurysms. We report a case of a 25-year-old man who presented with headache since 2 years ago, and was incidentally discovered to have a congenital bilateral absence of ICAs.

Named Entity and Event Annotation Tool for Cultural Heritage Information Corpus Construction (문화유산정보 말뭉치 구축을 위한 개체명 및 이벤트 부착 도구)

  • Choi, Ji-Ye;Kim, Myung-Keun;Park, So-Young
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.9
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    • pp.29-38
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    • 2012
  • In this paper, we propose a named entity and event annotation tool for cultural heritage information corpus construction. Focusing on time, location, person, and event suitable for cultural heritage information management, the annotator writes the named entities and events with the proposed tool. In order to easily annotate the named entities and the events, the proposed tool automatically annotates the location information such as the line number or the word number, and shows the corresponding string, formatted as both bold and italic, in the raw text. For the purpose of reducing the costs of the manual annotation, the proposed tool utilizes the patterns to automatically recognize the named entities. Considering the very little training corpus, the proposed tool extracts simple rule patterns. To avoid error propagation, the proposed patterns are extracted from the raw text without any additional process. Experimental results show that the proposed tool reduces more than half of the manual annotation costs.

Investigating the Combination of Bag of Words and Named Entities Approach in Tracking and Detection Tasks among Journalists

  • Mohd, Masnizah;Bashaddadh, Omar Mabrook A.
    • Journal of Information Science Theory and Practice
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    • v.2 no.4
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    • pp.31-48
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    • 2014
  • The proliferation of many interactive Topic Detection and Tracking (iTDT) systems has motivated researchers to design systems that can track and detect news better. iTDT focuses on user interaction, user evaluation, and user interfaces. Recently, increasing effort has been devoted to user interfaces to improve TDT systems by investigating not just the user interaction aspect but also user and task oriented evaluation. This study investigates the combination of the bag of words and named entities approaches implemented in the iTDT interface, called Interactive Event Tracking (iEvent), including what TDT tasks these approaches facilitate. iEvent is composed of three components, which are Cluster View (CV), Document View (DV), and Term View (TV). User experiments have been carried out amongst journalists to compare three settings of iEvent: Setup 1 and Setup 2 (baseline setups), and Setup 3 (experimental setup). Setup 1 used bag of words and Setup 2 used named entities, while Setup 3 used a combination of bag of words and named entities. Journalists were asked to perform TDT tasks: Tracking and Detection. Findings revealed that the combination of bag of words and named entities approaches generally facilitated the journalists to perform well in the TDT tasks. This study has confirmed that the combination approach in iTDT is useful and enhanced the effectiveness of users' performance in performing the TDT tasks. It gives suggestions on the features with their approaches which facilitated the journalists in performing the TDT tasks.

The Status of Donghak Peasant Revolution Archive and the Archival Preliminary Study (동학농민혁명 기록물의 현황과 기록학적 분석 시론)

  • Jung, Sung-mi
    • The Korean Journal of Archival Studies
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    • no.50
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    • pp.231-271
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    • 2016
  • The Donghak Peasant Revolution in 1894 was a nationwide movement from the bottom of the uprising, which opened Korean modernization. Before and after the said revolution, the map of East Asian powers changed. It was an event with very significant meaning. When the revolution occurred in 1894, the peasant revolutionaries could not escape from the yoke of the traitors who rebelled. However, as time passed, recognition of the event also changed. Since the centennial anniversary of the Donghak Peasant Revolution in 1994, concerns and interests regarding the event have increased. Studies on this revolution have also been invigorated, thus shedding new light on the incident. By focusing on the historical sources on the Donghak Peasant Revolution in this article, the current status and archive of the event is studied, its value reviewed, and its collection, classification, arrangement, and description discussed from the perspective of archival studies.