• 제목/요약/키워드: Open-set identification system

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Meta learning-based open-set identification system for specific emitter identification in non-cooperative scenarios

  • Xie, Cunxiang;Zhang, Limin;Zhong, Zhaogen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권5호
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    • pp.1755-1777
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    • 2022
  • The development of wireless communication technology has led to the underutilization of radio spectra. To address this limitation, an intelligent cognitive radio network was developed. Specific emitter identification (SEI) is a key technology in this network. However, in realistic non-cooperative scenarios, the system may detect signal classes beyond those in the training database, and only a few labeled signal samples are available for network training, both of which deteriorate identification performance. To overcome these challenges, a meta-learning-based open-set identification system is proposed for SEI. First, the received signals were pre-processed using bi-spectral analysis and a Radon transform to obtain signal representation vectors, which were then fed into an open-set SEI network. This network consisted of a deep feature extractor and an intrinsic feature memorizer that can detect signals of unknown classes and classify signals of different known classes. The training loss functions and the procedures of the open-set SEI network were then designed for parameter optimization. Considering the few-shot problems of open-set SEI, meta-training loss functions and meta-training procedures that require only a few labeled signal samples were further developed for open-set SEI network training. The experimental results demonstrate that this approach outperforms other state-of-the-art SEI methods in open-set scenarios. In addition, excellent open-set SEI performance was achieved using at least 50 training signal samples, and effective operation in low signal-to-noise ratio (SNR) environments was demonstrated.

청각장애 아동의 음운인식 능력과 단어확인 능력의 상관연구 (A Study of Correlation Between Phonological Awareness and Word Identification Ability of Hearing Impaired Children)

  • 김유경;김문정;안종복;석동일
    • 음성과학
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    • 제13권3호
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    • pp.155-167
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    • 2006
  • Hearing impairment children possess poor underlying perceptual knowledge of the sound system and show delayed development of segmental organization of that system. The purpose of this study was to investigate the relationship between phonological awareness ability and word identification ability in hearing impaired children. 14 children with moderately severe hearing loss participated in this study. All tasks were individually administered. Phonological awareness tests consisted of syllable blending, syllable segmentation, syllable deletion, body-coda discrimination, phoneme blending, phoneme segmentation and phoneme deletion. Close-set Monosyllabic Words(12 items) and lists 1 and 2 of open-set Monosyllabic Words in EARS-K were examined for word identification. Results of this study were as follows: First, from the phonological awareness task, the close-set word identification showed a high positive correlation with the coda discrimination, phoneme blending and phoneme deletion. The open-set word identification showed a high positive correlation with phoneme blending, phoneme deletion and phoneme segmentation. Second, from the level of phonological awareness, the close-set word identification showed a high positive correlation with the level of body-coda awareness and phoneme awareness while the open-set word identification showed a high positive correlation only with the level of phoneme awareness.

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유전자 알고리즘을 이용한 화자인식 시스템 성능 향상 (Performance Improvement of Speaker Recognition System Using Genetic Algorithm)

  • 문인섭;김종교
    • 한국음향학회지
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    • 제19권8호
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    • pp.63-67
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    • 2000
  • 본 논문에서는 화자인식의 성능향상을 위한 dynamic time warping (DTW) 기반의 문맥 제시형 화자인식에 대해 연구하였다. 화자인식에 있어 중요한 요소인 화자의 특성을 잘 반영할 수 있는 참조패턴을 생성하기 위해 유전자 알고리즘을 적용하였다. 또한, 문맥 종속형과 문맥 독립형 화자인식의 단점을 개선하기 위해 문맥 제시형 화자인식을 수행하였다. Clos set에서 화자식별과 open set에서 화자확인 실험을 하였으며 실험결과 기존 방법의 참조패턴을 이용하였을 경우보다 유전자 알고리즘에 의한 참조패턴이 인식률과 인식속도 면에서 우수함을 보였다.

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다시점 영상 집합을 활용한 선체 블록 분류를 위한 CNN 모델 성능 비교 연구 (Comparison Study of the Performance of CNN Models with Multi-view Image Set on the Classification of Ship Hull Blocks)

  • 전해명;노재규
    • 대한조선학회논문집
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    • 제57권3호
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    • pp.140-151
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    • 2020
  • It is important to identify the location of ship hull blocks with exact block identification number when scheduling the shipbuilding process. The wrong information on the location and identification number of some hull block can cause low productivity by spending time to find where the exact hull block is. In order to solve this problem, it is necessary to equip the system to track the location of the blocks and to identify the identification numbers of the blocks automatically. There were a lot of researches of location tracking system for the hull blocks on the stockyard. However there has been no research to identify the hull blocks on the stockyard. This study compares the performance of 5 Convolutional Neural Network (CNN) models with multi-view image set on the classification of the hull blocks to identify the blocks on the stockyard. The CNN models are open algorithms of ImageNet Large-Scale Visual Recognition Competition (ILSVRC). Four scaled hull block models are used to acquire the images of ship hull blocks. Learning and transfer learning of the CNN models with original training data and augmented data of the original training data were done. 20 tests and predictions in consideration of five CNN models and four cases of training conditions are performed. In order to compare the classification performance of the CNN models, accuracy and average F1-Score from confusion matrix are adopted as the performance measures. As a result of the comparison, Resnet-152v2 model shows the highest accuracy and average F1-Score with full block prediction image set and with cropped block prediction image set.

Fault Detection and Classification with Optimization Techniques for a Three-Phase Single-Inverter Circuit

  • Gomathy, V.;Selvaperumal, S.
    • Journal of Power Electronics
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    • 제16권3호
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    • pp.1097-1109
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    • 2016
  • Fault detection and isolation are related to system monitoring, identifying when a fault has occurred, and determining the type of fault and its location. Fault detection is utilized to determine whether a problem has occurred within a certain channel or area of operation. Fault detection and diagnosis have become increasingly important for many technical processes in the development of safe and efficient advanced systems for supervision. This paper presents an integrated technique for fault diagnosis and classification for open- and short-circuit faults in three-phase inverter circuits. Discrete wavelet transform and principal component analysis are utilized to detect the discontinuity in currents caused by a fault. The features of fault diagnosis are then extracted. A fault dictionary is used to acquire details about transistor faults and the corresponding fault identification. Fault classification is performed with a fuzzy logic system and relevance vector machine (RVM). The proposed model is incorporated with a set of optimization techniques, namely, evolutionary particle swarm optimization (EPSO) and cuckoo search optimization (CSO), to improve fault detection. The combination of optimization techniques with classification techniques is analyzed. Experimental results confirm that the combination of CSO with RVM yields better results than the combinations of CSO with fuzzy logic system, EPSO with RVM, and EPSO with fuzzy logic system.

블럭 FFT를 이용한 실시간 지문 인식 알고리즘 (Automatic Real-time Identification of Fingerprint Images Using Block-FFT)

  • 안도성;김학일
    • 전자공학회논문지B
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    • 제32B권6호
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    • pp.909-921
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    • 1995
  • The objective of this paper is to develop an algorithm for a real-time automatic fingerprint recognition system. The algorithm employs the Fast Fourier Transform (FFT) in determining the directions of ridges in fingerprint images, and utilizes statistical information in recognizing the fingerprints. The information used in fingerprint recognition is based on the dircetions along ridge curves and characteristic points such as core points and delta points. In order to find ridge directions, the algorithm applies the FFT to a small block of the size 8x8 pixels, and decides the directions by interpreting the resulted Fourier spectrum. By using the FFT, the algorithm does not require conventional preprocessing procedures such as smoothing, binarization, thinning, and restorationl. Finally, in matching two fingerprint images, the algorithm searches and compares two kinds of feature blocks, one as the blocks where the dircetions cannot be defined from the Fourier spectrum, and the other as the blocks where the changes of directions become abrupt. The proposed algorithm has been implemented on a SunSparc-2 workstation under the Open Window environment. In the experiment, the proposed algorithm has been applied to a set of fingerprint images obtained by a prism system. The result has shown that while the rate of Type II error - Incorrect recognition of two different fingerprints as the identical fingerprints - is held at 0.0%, the rate of Type I error - Incorrect recognition of two identical fingerprints as the different ones - is 2.2%.

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Trends in disaster safety research in Korea: Focusing on the journal papers of the departments related to disaster prevention and safety engineering

  • Kim, Byungkyu;You, Beom-Jong;Shim, Hyoung-Seop
    • 한국컴퓨터정보학회논문지
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    • 제27권10호
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    • pp.43-57
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    • 2022
  • 본 논문에서는 재난안전 분야의 연구 현황에 대한 계량정보 분석을 위하여 재난안전 분야 학과 소속의 연구자 논문을 분석하는 방법을 제안한다. 분석 연구 수행을 위하여 국내 대학기관의 방재 및 안전 공학 유형 학과에 소속된 저자들의 연구 논문들을 대상으로 기관식별, 참고문헌 인용 학술지 식별, 학과유형 분류, 재난안전유형 분류, 연구자 전공정보, 한국표준산업분류를 매핑하여 실험데이터를 구성 및 활용함으로써 재난안전 분야 학술지와 관련 키워드 검색을 통한 데이터셋 기반의 기존 선행연구들과 차별점을 갖는다. 연구 결과, 재난안전 분야 연구에서 저자소속 기관의 유형 및 지역적 분포, 공저 학과 유형의 구성, 연구자 전공 현황, 재난안전유형 및 표준산업분류의 현황, 학술지 인용 현황 및 핵심 키워드가 자세히 파악되었다. 또한 분석 단위별로 동시출현 네트워크를 생성 및 시각화여 주요 연결 관계를 조망 및 분석하였다. 연구 결과는 지능형 위기경보 체계 구축을 위한 재난유형별 주요 기관 및 정보의 식별과 추천에 활용할 예정이며, 향후 종합적이고 상시적인 분석 정보 제공을 위해 분석 범위의 확대와 데이터셋 구축을 위한 정보의 식별 및 분류 프로세스의 자동화가 필요하다.

온라인 문서 마이닝 접근법을 활용한 크라우드펀딩의 성공여부 예측 방법 (Online Document Mining Approach to Predicting Crowdfunding Success)

  • 남수현;진윤선;권오병
    • 지능정보연구
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    • 제24권3호
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    • pp.45-66
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    • 2018
  • 크라우드펀딩(Crowdfunding)은 최근 벤처 기업의 기금 모금을 위한 엔젤 기금보다 인기가 있다. 이에 따라 크라우드펀딩의 성공 요인을 파악하는 것은 기금 조성자 및 투자자로 하여금 크라우드펀딩 프로젝트와 관련된 효과적 의사결정을 내리기 위해 크라우드펀딩 성공 여부를 선험적으로 예측하는데 유용할 것이다. 이에 최근까지 프로젝트의 목표 및 관련 SNS의 수와 같은 몇 가지 수치적 요인을 독립변인으로 제안하여 이들이 크라우드펀딩 캠페인의 성공에 어떤 영향을 미치는지 등이 연구되어오고 있었다. 그러나 수치가 아닌 비정형 데이터를 통한 크라우드펀딩 캠페인의 성공에 대한 예측은 거의 이루어진 바 없으며, 특히 프로젝트를 소개하는 문서에 대한 특성 분석을 통해 해당 프로젝트의 성공여부를 예측하려는 연구는 아직 이루어지지 않았다. 사실 프로젝트를 소개하는 문서는 공개되어 있어 확보에 드는 비용이 적게 들기 때문에 매우 유용하다. 따라서 본 연구의 목적은 Wadiz 등 온라인상으로 공개되어 있는 프로젝트에 대한 소개 문서를 기반으로 크라우드펀딩 프로젝트의 성공을 예측하는 새로운 방법을 제안하는 것이다. 제안된 방법의 성능을 테스트하기 위해, 본 연구에서는 1,980개의 실제 크라우드펀딩 프로젝트와 관련된 텍스트를 수집하고 경험적으로 분석했다. 텍스트 데이터 세트에서 카테고리, 응답 수, 자금 조달 목표, 기금 모금 방법, 보상, SNS 추종자 수, 이미지 및 비디오 수 및 기타 숫자 데이터와 같은 프로젝트에 대한 세부 정보를 수집하였다. 분석 결과 이러한 요인들은 분류 알고리즘에서 분류 성능을 제고하는데 의미 있는 변인으로 확인되었다. 즉, 제안된 방법이 최근에 제안된 비정형 텍스트 기반 방법보다 정확도나 F-점수 및 수행 경과 시간에서 성능이 우수하였다.

APPLICATION OF FUZZY SET THEORY IN SAFEGUARDS

  • Fattah, A.;Nishiwaki, Y.
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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    • pp.1051-1054
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    • 1993
  • The International Atomic Energy Agency's Statute in Article III.A.5 allows it“to establish and administer safeguards designed to ensure that special fissionable and other materials, services, equipment, facilities and information made available by the Agency or at its request or under its supervision or control are not used in such a way as to further any military purpose; and to apply safeguards, at the request of the parties, to any bilateral or multilateral arrangement, or at the request of a State, to any of that State's activities in the field of atomic energy”. Safeguards are essentially a technical means of verifying the fulfilment of political obligations undertaken by States and given a legal force in international agreements relating to the peaceful uses of nuclear energy. The main political objectives are: to assure the international community that States are complying with their non-proliferation and other peaceful undertakings; and to deter (a) the diversion of afeguarded nuclear materials to the production of nuclear explosives or for military purposes and (b) the misuse of safeguarded facilities with the aim of producing unsafeguarded nuclear material. It is clear that no international safeguards system can physically prevent diversion. The IAEA safeguards system is basically a verification measure designed to provide assurance in those cases in which diversion has not occurred. Verification is accomplished by two basic means: material accountancy and containment and surveillance measures. Nuclear material accountancy is the fundamental IAEA safeguards mechanism, while containment and surveillance serve as important complementary measures. Material accountancy refers to a collection of measurements and other determinations which enable the State and the Agency to maintain a current picture of the location and movement of nuclear material into and out of material balance areas, i. e. areas where all material entering or leaving is measurab e. A containment measure is one that is designed by taking advantage of structural characteristics, such as containers, tanks or pipes, etc. To establish the physical integrity of an area or item by preventing the undetected movement of nuclear material or equipment. Such measures involve the application of tamper-indicating or surveillance devices. Surveillance refers to both human and instrumental observation aimed at indicating the movement of nuclear material. The verification process consists of three over-lapping elements: (a) Provision by the State of information such as - design information describing nuclear installations; - accounting reports listing nuclear material inventories, receipts and shipments; - documents amplifying and clarifying reports, as applicable; - notification of international transfers of nuclear material. (b) Collection by the IAEA of information through inspection activities such as - verification of design information - examination of records and repo ts - measurement of nuclear material - examination of containment and surveillance measures - follow-up activities in case of unusual findings. (c) Evaluation of the information provided by the State and of that collected by inspectors to determine the completeness, accuracy and validity of the information provided by the State and to resolve any anomalies and discrepancies. To design an effective verification system, one must identify possible ways and means by which nuclear material could be diverted from peaceful uses, including means to conceal such diversions. These theoretical ways and means, which have become known as diversion strategies, are used as one of the basic inputs for the development of safeguards procedures, equipment and instrumentation. For analysis of implementation strategy purposes, it is assumed that non-compliance cannot be excluded a priori and that consequently there is a low but non-zero probability that a diversion could be attempted in all safeguards ituations. An important element of diversion strategies is the identification of various possible diversion paths; the amount, type and location of nuclear material involved, the physical route and conversion of the material that may take place, rate of removal and concealment methods, as appropriate. With regard to the physical route and conversion of nuclear material the following main categories may be considered: - unreported removal of nuclear material from an installation or during transit - unreported introduction of nuclear material into an installation - unreported transfer of nuclear material from one material balance area to another - unreported production of nuclear material, e. g. enrichment of uranium or production of plutonium - undeclared uses of the material within the installation. With respect to the amount of nuclear material that might be diverted in a given time (the diversion rate), the continuum between the following two limiting cases is cons dered: - one significant quantity or more in a short time, often known as abrupt diversion; and - one significant quantity or more per year, for example, by accumulation of smaller amounts each time to add up to a significant quantity over a period of one year, often called protracted diversion. Concealment methods may include: - restriction of access of inspectors - falsification of records, reports and other material balance areas - replacement of nuclear material, e. g. use of dummy objects - falsification of measurements or of their evaluation - interference with IAEA installed equipment.As a result of diversion and its concealment or other actions, anomalies will occur. All reasonable diversion routes, scenarios/strategies and concealment methods have to be taken into account in designing safeguards implementation strategies so as to provide sufficient opportunities for the IAEA to observe such anomalies. The safeguards approach for each facility will make a different use of these procedures, equipment and instrumentation according to the various diversion strategies which could be applicable to that facility and according to the detection and inspection goals which are applied. Postulated pathways sets of scenarios comprise those elements of diversion strategies which might be carried out at a facility or across a State's fuel cycle with declared or undeclared activities. All such factors, however, contain a degree of fuzziness that need a human judgment to make the ultimate conclusion that all material is being used for peaceful purposes. Safeguards has been traditionally based on verification of declared material and facilities using material accountancy as a fundamental measure. The strength of material accountancy is based on the fact that it allows to detect any diversion independent of the diversion route taken. Material accountancy detects a diversion after it actually happened and thus is powerless to physically prevent it and can only deter by the risk of early detection any contemplation by State authorities to carry out a diversion. Recently the IAEA has been faced with new challenges. To deal with these, various measures are being reconsidered to strengthen the safeguards system such as enhanced assessment of the completeness of the State's initial declaration of nuclear material and installations under its jurisdiction enhanced monitoring and analysis of open information and analysis of open information that may indicate inconsistencies with the State's safeguards obligations. Precise information vital for such enhanced assessments and analyses is normally not available or, if available, difficult and expensive collection of information would be necessary. Above all, realistic appraisal of truth needs sound human judgment.

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소셜미디어 콘텐츠의 오피니언 마이닝결과 시각화: N라면 사례 분석 연구 (Visualizing the Results of Opinion Mining from Social Media Contents: Case Study of a Noodle Company)

  • 김유신;권도영;정승렬
    • 지능정보연구
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    • 제20권4호
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    • pp.89-105
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    • 2014
  • Web2.0의 등장과 함께 급속히 발전해온 온라인 포럼, 블로그, 트위터, 페이스북과 같은 소셜 미디어 서비스는 소비자와 소비자간의 의사소통을 넘어 이제 기업과 소비자 사이의 새로운 커뮤니케이션 매체로도 인식되고 있다. 때문에 기업뿐만 아니라 수많은 기관, 조직 등에서도 소셜미디어를 활용하여 소비자와 적극적인 의사소통을 전개하고 있으며, 나아가 소셜 미디어 콘텐츠에 담겨있는 소비자 고객들의 의견, 관심, 불만, 평판 등을 분석하고 이해하며 비즈니스에 적용하기 위해 이를 적극 분석하는 단계로 진화하고 있다. 이러한 연구의 한 분야로서 비정형 텍스트 콘텐츠와 같은 빅 데이터에서 저자의 감성이나 의견 등을 추출하는 오피니언 마이닝과 감성분석 기법이 소셜미디어 콘텐츠 분석에도 활발히 이용되고 있으며, 이미 여러 연구에서 이를 위한 방법론, 테크닉, 툴 등을 제시하고 있다. 그러나 아직 대량의 소셜미디어 데이터를 수집하여 언어처리를 거치고 의미를 해석하여 비즈니스 인사이트를 도출하는 전반의 과정을 제시한 연구가 많지 않으며, 그 결과를 의사결정자들이 쉽게 이해할 수 있는 시각화 기법으로 풀어내는 것 또한 드문 실정이다. 그러므로 본 연구에서는 소셜미디어 콘텐츠의 오피니언 마이닝을 위한 실무적인 분석방법을 제시하고 이를 통해 기업의사결정을 지원할 수 있는 시각화된 결과물을 제시하고자 하였다. 이를 위해 한국 인스턴트 식품 1위 기업의 대표 상품인 N-라면을 사례 연구의 대상으로 실제 블로그 데이터와 뉴스를 수집/분석하고 결과를 도출하였다. 또한 이런 과정에서 프리웨어 오픈 소스 R을 이용함으로써 비용부담 없이 어떤 조직에서도 적용할 수 있는 레퍼런스를 구현하였다. 그러므로 저자들은 본 연구의 분석방법과 결과물들이 식품산업뿐만 아니라 타 산업에서도 바로 적용 가능한 실용적 가이드와 참조자료가 될 것으로 기대한다.