• Title/Summary/Keyword: Fusion strategy

검색결과 183건 처리시간 0.022초

Multimodal Biometric Using a Hierarchical Fusion of a Person's Face, Voice, and Online Signature

  • Elmir, Youssef;Elberrichi, Zakaria;Adjoudj, Reda
    • Journal of Information Processing Systems
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    • 제10권4호
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    • pp.555-567
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    • 2014
  • Biometric performance improvement is a challenging task. In this paper, a hierarchical strategy fusion based on multimodal biometric system is presented. This strategy relies on a combination of several biometric traits using a multi-level biometric fusion hierarchy. The multi-level biometric fusion includes a pre-classification fusion with optimal feature selection and a post-classification fusion that is based on the similarity of the maximum of matching scores. The proposed solution enhances biometric recognition performances based on suitable feature selection and reduction, such as principal component analysis (PCA) and linear discriminant analysis (LDA), as much as not all of the feature vectors components support the performance improvement degree.

Bacterial ${\beta}$-Lactamase Fragment Complementation Strategy Can Be Used as a Method for Identifying Interacting Protein Pairs

  • Park, Jong-Hwa;Back, Jung-Ho;Hahm, Soo-Hyun;Shim, Hye-Young;Park, Min-Ju;Ko, Sung-Il;Han, Ye-Sun
    • Journal of Microbiology and Biotechnology
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    • 제17권10호
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    • pp.1607-1615
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    • 2007
  • We investigated the applicability of the TEM-l ${\beta}$-lactamase fragment complementation (BFC) system to develop a strategy for the screening of protein-protein interactions in bacteria. A BFC system containing a human Fas-associated death domain (hFADD) and human Fas death domain (hFasDD) was generated. The hFADD-hFasDD interaction was verified by cell survivability in ampicillin-containing medium and the colorimetric change of nitrocefin. It was also confirmed by His pull-down assay using cell lysates obtained in selection steps. A coiled-coil helix coiled-coil domain-containing protein 5 (CHCH5) was identified as an interacting protein of human uracil DNA glycosylase (hUNG) from the bacterial BFC cDNA library strategy. The interaction between hUNG and CHCH5 was further confirmed with immunoprecipitation using a mammalian expression system. CHCH5 enhanced the DNA glycosylase activity of hUNG to remove uracil from DNA duplexes containing a U/G mismatch pair. These results suggest that the bacterial BFC cDNA library strategy can be effectively used to identify interacting protein pairs.

Decentralized Moving Average Filtering with Uncertainties

  • Song, Il Young
    • 센서학회지
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    • 제25권6호
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    • pp.418-422
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    • 2016
  • A filtering algorithm based on the decentralized moving average Kalman filter with uncertainties is proposed in this paper. The proposed filtering algorithm presented combines the Kalman filter with the moving average strategy. A decentralized fusion algorithm with the weighted sum structure is applied to the local moving average Kalman filters (LMAKFs) of different window lengths. The proposed algorithm has a parallel structure and allows parallel processing of observations. Hence, it is more reliable than the centralized algorithm when some sensors become faulty. Moreover, the choice of the moving average strategy makes the proposed algorithm robust against linear discrete-time dynamic model uncertainties. The derivation of the error cross-covariances between the LMAKFs is the key idea of studied. The application of the proposed decentralized fusion filter to dynamic systems within a multisensor environment demonstrates its high accuracy and computational efficiency.

Precise attitude determination strategy for spacecraft based on information fusion of attitude sensors: Gyros/GPS/Star-sensor

  • Mao, Xinyuan;Du, Xiaojing;Fang, Hui
    • International Journal of Aeronautical and Space Sciences
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    • 제14권1호
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    • pp.91-98
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    • 2013
  • The rigorous requirements of modern spacecraft missions necessitate a precise attitude determination strategy. This paper mainly researches that, based on three space-borne attitude sensors: 3-axis rate gyros, 3-antenna GPS receiver and star-sensor. To obtain global attitude estimation after an information fusion process, a feedback-involved Federated Kalman Filter (FKF), consisting of two subsystem Kalman filters (Gyros/GPS and Gyros/Star-sensor), is established. In these filters, the state equation is implemented according to the spacecraft's kinematic attitude model, while the residual error models of GPS and star-sensor observed attitude are utilized, to establish two observation equations, respectively. Taking the sensors' different update rates into account, these two subsystem filters are conducted under a variable step size state prediction method. To improve the fault tolerant capacity of the attitude determination system, this paper designs malfunction warning factors, based on the principle of ${\chi}^2$ residual verification. Mathematical simulation indicates that the information fusion strategy overwhelms the disadvantages of each sensor, acquiring global attitude estimation with precision at a 2-arcsecs level. Although a subsystem encounters malfunction, FKF still reaches precise and stable accuracy. In this process, malfunction warning factors advice malfunctions correctly and effectively.

TSDnet: 적외선과 가시광선 이미지 융합을 위한 규모-3 밀도망 (TSDnet: Three-scale Dense Network for Infrared and Visible Image Fusion)

  • 장영매;이효종
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2022년도 추계학술발표대회
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    • pp.656-658
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    • 2022
  • The purpose of infrared and visible image fusion is to integrate images of different modes with different details into a result image with rich information, which is convenient for high-level computer vision task. Considering many deep networks only work in a single scale, this paper proposes a novel image fusion based on three-scale dense network to preserve the content and key target features from the input images in the fused image. It comprises an encoder, a three-scale block, a fused strategy and a decoder, which can capture incredibly rich background details and prominent target details. The encoder is used to extract three-scale dense features from the source images for the initial image fusion. Then, a fusion strategy called l1-norm to fuse features of different scales. Finally, the fused image is reconstructed by decoding network. Compared with the existing methods, the proposed method can achieve state-of-the-art fusion performance in subjective observation.

PEST-SWOT-AHP 방법론을 적용한 국가 과학기술 전략 수립에 관한 연구: 핵융합 연구개발 사례를 중심으로 (A Study on Establishment of National Science and Technology Strategy Applying PEST-SWOT-AHP : A Case Study of Fusion R&D)

  • 장한수;최원재;도현수
    • 기술혁신학회지
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    • 제15권4호
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    • pp.766-782
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    • 2012
  • 과학기술이 갈수록 고도화되고 이해관계자가 증가하면서 특정 과학기술 분야에 대한 국가 전략의 수요는 증가하고 있다. 특히 한국은 이러한 경향이 높아 100여개 이상의 과학기술 관련 국가계획이 수립되어 실행 중이다. 그러나 이와 관련된 과학적인 방법론을 정립하기 위한 학술적 시도는 드물다. 본 논문에서는 이러한 문제의식을 바탕으로 특정 분야의 과학기술 전략 수립을 위한 방법론을 제시하고 사례연구를 통하여 그 유용성을 확인하고자 한다. 먼저 문헌분석을 통하여 국가 과학기술전략 수립에 관한 선행 사례와 국가 과학기술전략의 개념에 대하여 알아본다. 또한 대표적 과학기술 관련 법령과 그에 따른 기본계획을 검토하여 위에서 제기된 문제의 현황을 살펴본다. 한편, 틀로써 PEST, SWOT-AHP 방법론을 제안하고 방법론의 특징과 적용 분야 등을 확인한다. 사례연구는 핵융합 연구개발 사업의 전략 수립에 대하여 진행한다. 이를 위하여 핵융합 연구개발 로드맵을 근거로 한 환경 분석 내용에 대하여 PEST, SWOT-AHP를 적용하고 핵융합 연구개발에 관한 국가 과학기술 전략을 도출하여 제안된 틀의 유용성을 검증한다. 실증분석 결과, 향후 핵융합 연구개발을 위해서는 기술개발 선도, 기초연구 및 인력양성 강화, 기술사업화 및 사회적 수용성 제고, 국제협력 연구 강화 등 4개의 전략을 도출하고 그 우선순위를 파악함으로써 제시된 틀의 유용성을 확인할 수 있었다.

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A Cyber-Physical Information System for Smart Buildings with Collaborative Information Fusion

  • Liu, Qing;Li, Lanlan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권5호
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    • pp.1516-1539
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    • 2022
  • This article shows a set of physical information fusion IoT systems that we designed for smart buildings. Its essence is a computer system that combines physical quantities in buildings with quantitative analysis and control. In the part of the Internet of Things, its mechanism is controlled by a monitoring system based on sensor networks and computer-based algorithms. Based on the design idea of the agent, we have realized human-machine interaction (HMI) and machine-machine interaction (MMI). Among them, HMI is realized through human-machine interaction, while MMI is realized through embedded computing, sensors, controllers, and execution. Device and wireless communication network. This article mainly focuses on the function of wireless sensor networks and MMI in environmental monitoring. This function plays a fundamental role in building security, environmental control, HVAC, and other smart building control systems. The article not only discusses various network applications and their implementation based on agent design but also demonstrates our collaborative information fusion strategy. This strategy can provide a stable incentive method for the system through collaborative information fusion when the sensor system is unstable in the physical measurements, thereby preventing system jitter and unstable response caused by uncertain disturbances and environmental factors. This article also gives the results of the system test. The results show that through the CPS interaction of HMI and MMI, the intelligent building IoT system can achieve comprehensive monitoring, thereby providing support and expansion for advanced automation management.

The Necessity and Future Challenges of Science, Technology, Society and Humanities Fusion Research in Korea

  • Song, Wichin
    • STI Policy Review
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    • 제1권4호
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    • pp.29-39
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    • 2010
  • Science, technology, society and humanities (STSH) fusion research is aimed at creating new research areas and methods that can resolve complicated issues in society that cannot be solved by a single academic discipline. This study identifies initiatives that can promote STSH fusion research in Korea. We review the definition and characteristics of STSH fusion research to analyze the necessity of STSH fusion research with a focus on the structural changes in the S&T environment. The emergence and diffusion of generic technologies, transition to post catch-up innovation mode, and the evolution of policy to the third generation innovation policy are identified as notable changes. This paper briefly reviews the status of fusion research underway and presents initiatives to promote STSH fusion research.

Command Fusion for Navigation of Mobile Robots in Dynamic Environments with Objects

  • Jin, Taeseok
    • Journal of information and communication convergence engineering
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    • 제11권1호
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    • pp.24-29
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    • 2013
  • In this paper, we propose a fuzzy inference model for a navigation algorithm for a mobile robot that intelligently searches goal location in unknown dynamic environments. Our model uses sensor fusion based on situational commands using an ultrasonic sensor. Instead of using the "physical sensor fusion" method, which generates the trajectory of a robot based upon the environment model and sensory data, a "command fusion" method is used to govern the robot motions. The navigation strategy is based on a combination of fuzzy rules tuned for both goal-approach and obstacle-avoidance based on a hierarchical behavior-based control architecture. To identify the environments, a command fusion technique is introduced where the sensory data of the ultrasonic sensors and a vision sensor are fused into the identification process. The result of experiment has shown that highlights interesting aspects of the goal seeking, obstacle avoiding, decision making process that arise from navigation interaction.

Distributed Fusion Estimation for Sensor Network

  • Song, Il Young;Song, Jin Mo;Jeong, Woong Ji;Gong, Myoung Sool
    • 센서학회지
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    • 제28권5호
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    • pp.277-283
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    • 2019
  • In this paper, we propose a distributed fusion estimation for sensor networks using a receding horizon strategy. Communication channels were modelled as Markov jump systems, and a posterior probability distribution for communication channel characteristics was calculated and incorporated into the filter to allow distributed fusion estimation to handle path loss observation situations automatically. To implement distributed fusion estimation, a Kalman-Consensus filter was then used to obtain the average consensus, based on the estimates of sensors randomly distributed across sensor networks. The advantages of the proposed algorithms were then verified using a large-scale sensor network example.