• Title/Summary/Keyword: 배경 갱신

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Speech Enhancement Algorithm Based on Teager Energy and Speech Absence Probability in Noisy Environments (잡음환경에서 Teager 에너지와 음성부재확률 기반의 음성향상 알고리즘)

  • Park, Yun-Sik;An, Hong-Sub;Lee, Sang-Min
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.49 no.3
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    • pp.81-88
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    • 2012
  • In this paper, we propose a novel speech enhancement algorithm for effective noise suppression in various noisy environments. In the proposed method, to result in improved decision performance for speech and noise segments, local speech absence probability (LSAP, local SAP) based on Teager energy of noisy speech is used as the feature parameter for voice activity detection (VAD) in each frequency subband instead of conventional LSAP. In addition, The presented method utilizes global SAP (GSAP) derived in each frame as the weighting parameter for the modification of the adopted TE operator to improve the performance of TE operator. Performances of the proposed algorithm are evaluated by objective test under various environments and better results compared with the conventional methods are obtained.

3-D Object Tracking using 3-D Information and Optical Correlator in the Stereo Vision System (스테레오 비젼 시스템에서 3차원정보와 광 상관기를 이용한 3차원 물체추적 방법)

  • 서춘원;이승현;김은수
    • Journal of Broadcast Engineering
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    • v.7 no.3
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    • pp.248-261
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    • 2002
  • In this paper, we proposed a new 3-dimensional(3-D) object-tracking algorithm that can control a stereo camera using a variable window mask supported by which uses ,B-D information and an optical BPEJTC. Hence, three-dimensional information characteristics of a stereo vision system, distance information from the stereo camera to the tracking object. can be easily acquired through the elements of a stereo vision system. and with this information, we can extract an area of the tracking object by varying window masks. This extractive area of the tracking object is used as the next updated reference image. furthermore, by carrying out an optical BPEJTC between a reference image and a stereo input image the coordinates of the tracking objects location can be acquired, and with this value a 3-D object tracking can be accomplished through manipulation of the convergence angie and a pan/tilt of a stereo camera. From the experimental results, the proposed algorithm was found to be able to the execute 3-D object tracking by extracting the area of the target object from an input image that is independent of the background noise in the stereo input image. Moreover a possible implementation of a 3-D tele-working or an adaptive 3-D object tracker, using the proposed algorithm is suggested.

Relevant Study of Ancient Town Regeneration Construction Based on Theory of Henry Lefebvre -Focused on 'Wu Zhen Ancient Town'- (앙리 르페브르의 이론을 통한 고성구(古城區) 재생구축에 관한 연구 -오진(烏鎭)을 중심으로-)

  • Chen, When-Li;Hong, Kwan-Seon
    • The Journal of the Korea Contents Association
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    • v.18 no.4
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    • pp.388-397
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    • 2018
  • With the continuous expansion and updating of modern cities, the historical and cultural space of ancient city is under increasing impact from the expansion of modern cities. At present, the regeneration and protection of the ancient city has achieved remarkable results together with poor results. Based on this background, this paper has revealed the power operation behind the space production of three regenerated ancient cities with 'spatial practice', 'representation of space' and '"representation of space' as the framework to, and pointed out the influence of stake holders on space shaping and analysis on the construction of regeneration model. From the perspective of specific materials, society, power, and culture, this paper has analyzed the methods of regeneration construction of Wuzhen ancient city, and provided new methods and reference values for how to regenerate and protect ancient cities. Based on these studies and analysis of the regeneration issues in ancient cities and villages, other historical cultural areas, the paper has indicated that it is necessary to coordinate with the government to clarify the issue of property rights, as well as planners and managers, to activate the regional culture and integrate it with modern culture.

How to Make R&D Proposal? (연구계획서 작성법)

  • Min, Tae-Seon
    • Proceedings of the Materials Research Society of Korea Conference
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    • 2011.05a
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    • pp.13-13
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    • 2011
  • 1. 연구계획서 작성시 필수적으로 기술하여야 할 항목 - 연구의 중요성 - 깊이가 있는 명확한 가정 - 연구목표의 달성 개연성: 양질의 선행연구 결과 및 그림 데이터 - 논리적 전개 및 실험 설계: 가정을 뒷받침할 만한 실험결과 - 주어진 기간 내에 제안한 것들을 달성할 수 있는지 여부 : 지나친 욕심이 젊은 과학자가 나쁜 평가를 받을 수 있는 가장 일반적인 실수 2. 연구계획서를 작성하기 전에.. - 정말 연구계획서를 제출할 적기인가? 너무 이른 것이 아닌지? - 타인에 의해 이미 실험된 것이 아닌지? - 충분한 시간을 두고 작성 ? 최소 2~3개월 전 연구계획서를 미리 작성한 후 동료 또는 선배에게 초안을 보여주고 검토를 받는 것이 매우 중요함: 제출하기 전에 혹독한 비판을 감수 3. 연구목표 - 흥미롭고 중요한 문제(issue)를 적절히 강조하고 있는지? - 가정에 근거하고 있는지? - 목표가 win-win 인지?: 즉, 연구성과가 현재 통용되고 있는 일반적인 가정들과 맥을 같이 하는지? 4. 연구배경 - 확실하고 체계적이어야 함 : 부제(subtitle) 사용. 주제의 중요성이 분명하게 시각적으로 드러나야 함. - 연구결과 파생될 기대효과를 현재와 비교하여 분명한 차이점을 기술 - 연구계획서에서 참고한 것들이 기존지식을 갱신한 것이고 최근 연구동향을 반영한 것이라는 것을 분명히 하여야 함. 5. 예비결과 - 과거 연구성과를 가능한한 많이 기술. ? 현재의 연구계획을 도출하게 된 근거를 과거의 연구와 연관시켜 강조하여야 함. ? 최소한 연구계획서에 기술된 연구방법의 개연성을 기술하여야 함. - 성과가 높지 않은 예비결과는 제시않는 것이 효율적임 - 연구계획서에 제시된 연구방법이 선험 연구에 근거한 것임을 강조하여야 함 ? 만일 전문성이나 선험연구결과가 없을 때는, 경험있고 영향력 있는 조언자나 공동연구자를 열거하고, 그들의 공동연구 동의서를 첨부하여야 함. ? 특히, 공동연구자들이 어떤 부분에서 협력할 것인지 구체적으로 기술하여야 함. - 필요한 부분에서 적절하게 구체적 수치와 raw data를 제시

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Feature Compensation Method Based on Parallel Combined Mixture Model (병렬 결합된 혼합 모델 기반의 특징 보상 기술)

  • 김우일;이흥규;권오일;고한석
    • The Journal of the Acoustical Society of Korea
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    • v.22 no.7
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    • pp.603-611
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    • 2003
  • This paper proposes an effective feature compensation scheme based on speech model for achieving robust speech recognition. Conventional model-based method requires off-line training with noisy speech database and is not suitable for online adaptation. In the proposed scheme, we can relax the off-line training with noisy speech database by employing the parallel model combination technique for estimation of correction factors. Applying the model combination process over to the mixture model alone as opposed to entire HMM makes the online model combination possible. Exploiting the availability of noise model from off-line sources, we accomplish the online adaptation via MAP (Maximum A Posteriori) estimation. In addition, the online channel estimation procedure is induced within the proposed framework. For more efficient implementation, we propose a selective model combination which leads to reduction or the computational complexities. The representative experimental results indicate that the suggested algorithm is effective in realizing robust speech recognition under the combined adverse conditions of additive background noise and channel distortion.

Traffic Information Extraction Using Image Processing Techniques (처리 기술을 이용한 교통 정보 추출)

  • Kim Joon-Cheol;Lee Joon-Whan
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.2 no.1 s.2
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    • pp.75-84
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    • 2003
  • Current techniques for road-traffic monitoring rely on sensors which have limited capabilities, are costly and disruptive to install. The use of video cameras coupled with computer vision techniques offers an attractive alternative to current sensors. Video based traffic monitoring systems are now being considered key points of advanced traffic management systems. In this paper, we propose the new method which extract the traffic information using video camera. The proposed method uses an adaptive updating scheme for background in order to reduce the false alarm rate due to various noises in images. also, the proposed extraction method of traffic information calculates the traffic volume ratio of vehicles passing through predefined detection area, which is defined by the length of profile occupied by cars over that of overall detection area. Then the ratio is used to define 8 different states of traffic and to interpret the state of vehicle flows. The proposed method is verified by an experiment using CCTV traffic data from urban area.

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Image Security System Using Push Server and Smart Device (푸시 서버와 스마트 디바이스를 이용한 영상보안 시스템)

  • Park, Seung-Hwan;Oh, U-Chul;Kim, Chang-Bok
    • Journal of Advanced Navigation Technology
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    • v.18 no.6
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    • pp.588-593
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    • 2014
  • Recently, the smart devices has been possessed by a large majority of the adult, and offered various personalization services. This paper proposed the lightweight Intelligent Image Security System that notice the existence of any intruder in real time at the place of requiring the security by using smart device. The proposed image security system recognized whether or not intruder exists using the difference frame on the basis of Integral Image and the dynamic background updating algorithms. The intrusion notification is achieved by using the GCM push server that send massages in the application unit of user mobile device, and the SMTP mail server which is use of e-mail standard protocol. In case of the occurrence of intruder, GCM push server send an push-massage by the private mobile device, and SMTP mail server send the intruder's photograph and intrusion time. By the convergence of the various image processing algorithms and the performance of smart device, The proposed image security system can be applied to the various Intelligent Image Security field.

A Vehicle Detection Algorithm for a Lane Change (차선 변경을 위한 차량 탐색 알고리즘)

  • Ji, Eui-Kyung;Han, Min-Hong
    • Journal of the Institute of Convergence Signal Processing
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    • v.8 no.2
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    • pp.98-105
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    • 2007
  • In this paper, we propose the method and system which determines the condition for safe and unsafe lane changing. To determine the condition, first, the system sets up the Region of Interest(ROI) on the neighboring lane. Second, a dangerous vehicle is extracted during the line changing. Third, the condition is determined to wm or not by calculating the moving direction, relative distance md relative velocity. To set up the ROI, the only one side lane is detected and the interested region is expanded. Using the coordinate transformation method, the accuracy of the ROI raised. To correctly extract the vehicle on the neighboring lane, the Adaptive Background Update method and Image Segmentation method which uses the feature of the travelling road are used. The object which is extracted by the dangerous vehicle is calculated the relative distance, the relative velocity and the moving average. And then in order to ring, the direction of the vehicle and the condition for safe and unsafe is determined. As minimizes the interested region and uses the feature of the travelling road, the computational quantity is reduced and the accuracy is raised and a stable result on a travelling road images which demands a high speed calculation is showed.

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Optimum Pattern Synthesis for a Microphone Array (마이크로폰 어레이를 위한 최적 패턴 형성)

  • Chang, Byoung-Kun;Kwon, Tae-Neung;Byun, Youn-Shik
    • The Journal of the Acoustical Society of Korea
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    • v.16 no.1
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    • pp.47-53
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    • 1997
  • This paper concerns an efficient approach to forming a beam pattern of a microphone array to deal with broadband signals such as speech in a teleconference. A numerical method is proposed to find updated location of sidelobes for equalizaing the sidelobes via perturbation of array parameters such as array weight or microphone spacing. Thus the microphone array is optimized in a Dolph-Chebyshev sense such that directional or background noises incident in an array visual range are eliminated efficiently. It is shown that perturbation of microphone spacing yields an optimum pattern more appropriate for dealing with broadband signals than that of array weight. Also, a novel method is proposed to find a beam pattern which is robust with respect to sidelobe in a scanning situation. Computer simulation results are presented.

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A Study on Status and Accuracy of Underground Facilities Maps (지하시설물도 현황 및 정확도 분석에 관한 연구)

  • Lee, Yong-Wook;Heo, Min;Lee, Jae-One;Bae, Kyoung-Ho
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.25 no.3
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    • pp.223-230
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    • 2007
  • As the centralization of city, underground facilities is increasing and being more important. Although the importance of underground facilities map has been emphasized, there were many accidents related underground facilities. The inaccuracy of existing data and the carelessness of management caused many accidents. It is very important to update and to have high quality accuracy of underground facilities maps. But the underground facilities maps are mapped and updated by each institutes. So it is difficult to verify the accuracy of the data. In this study, Field Test is performed to analyze the horizontal accuracy of existing maps using Electromegnetic Induction Method, Total Station and GPS. Surveying of underground facilities in Seoul was performed for 6 institutes of underground facilities during 3 years. The aim of this study is to verify the horizontal accuracy of data and to improve the accuracy of underground facility maps. As the result of analysis, the horizontal accuracy of 6 underground facilities management institutes is 73 cm(2004), 78 cm(2005) and 75 cm(2006).