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NAH기법을 이용한 공조용 컴프레서 소음저감 응용 (NAH method for reducing sound source generated in air-conditioning rotary compressor)

  • 김희철;이동연;이화조;심재술
    • 한국산학기술학회논문지
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    • 제12권5호
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    • pp.2011-2018
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    • 2011
  • 본 논문에서는 공조용 로타리 컴프레서에서 발생하는 소음을 줄이기 위하여 음향 홀로그래피를 이용하는 방법을 다룬다. 소음이 방사되는 것을 음향 홀로그래피를 이용하여 정상적인 컴프레서와 문제가 있는 컴프레서에 대하여 측정하였다. 음향 홀로그램은 2가지 컴프레서의 다수의 격자점에서 측정 및 예측하였고, 컴프레서 표면 위로 재구성하였다. 2개의 마이크로폰을 사용하여 1344개의 측정 점에서 측정을 수행하였고, 그 중 1개의 마이크로폰은 스캐닝용이고 또 다른 하나의 마이크로폰은 레퍼런스용이다. 음향 홀로그래피는 소음원을 그래픽적으로 보여주기 위한 좋은 도구이다. 본 논문에서 컴프레서의 표면에서 소음 원 위치를 정확히 찾을 수 있었고, 그 소음원은 소음을 발생시키는 부품과 관계된 것이었다. 음향 홀로그래피는 가전제품에 대해 소음 저감 방법으로서 유용함을 알 수 있다.

청소년 건강관련 공개자료 접근 및 활용에 관한 고찰 (Access to and Utilization of the Open Source Data-related to Adolescent Health)

  • 이재은;성정혜;이원재;문인옥
    • 한국학교ㆍ지역보건교육학회지
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    • 제11권1호
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    • pp.67-78
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    • 2010
  • Background & Objectives: Current trend is that funding agencies require investigators to share their data with others. However, there is limited guidance how to access and utilize the shared data. We sought to determine what common data sharing practices in U.S.A. are, what data-related to adolescent health are freely available, and how we deal with the large dataset adopting the complex study design. Methods: The study included only research data-related to adolescent health which was collected in USA and unlimitedly accessible through the internet. Only the raw data, not aggregated, was considered for the study. Major keywords for web search were "adolescent", "children", "health", and "school". Results: Current approaches for public health data sharing lacked of common standards and varied largely due to the data's complex nature, large size, local expertise and internal procedures. Some common data sharing practices are unlimited access, formal screened access, restricted access, and informal exclusive access. The Inter-University Consortium for Political and Social Research and the Center for Disease Control and Prevention were the best data depository. "Data on the net" was search engine for the website providing data freely available. Six datasets related to adolescent health freely available were identified. The importance and methods of incorporating complex research design into analysis was discussed. Conclusion: There have been various attempts to standardize process for open access and open data using the information technology concept. However, it may not be easy for researchers to adapt themselves to this high technology. Therefore, guidance provided by this study may help researchers enhance the accessibility to and the utilization of the open source data.

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다중축척 공간 데이터베이스에서 축소연산자를 위한 위상 일관성 (Topological Consistency for Collapse Operator on Multi-Scale Databases)

  • 권오제;강혜경;이기준
    • 한국GIS학회:학술대회논문집
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    • 한국GIS학회 2004년도 추계 학술대회 논문집
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    • pp.27-40
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    • 2004
  • 다중축척 공간데이터베이스란 동일한 현실 공간을 여러 축척의 데이터베이스로 저장한 것을 말한다. 이 다중축척의 데이터베이스는 기존에 구축된 원시 데이터베이스로부터 유도될 수 있다. 그런데 이 유도과정에서 원시 데이터베이스에 있던 기하 및 위상관계는 변형이 된다. 그리고 이 관계 변형은 유도된 데이터베이스의 무결성을 보장하지 못하는 원인이 된다. 때문에 유도된 데이터베이스가 원시 데이터베이스와 일관성이 있는지를 조사할 필요가 있다. 이 논문은 원시 데이터베이스와 유도된 다중축척 데이터베이스간의 위상적 일관성에 초점을 둔다. 특히, 2차원 공간객체가 1차원으로 축소되었을 때 위상관계의 일관성을 평가하는 방법을 제안할 것이다. 즉, 2차원 공간객체간에 위상관계를 표현하는 8가지 위상관계를 2차원과 1차원 공간객체간에 위상관계를 표현하는 19가지 위상관계로 일관성 있게 전환하는 4가지 방법을 제안할 것이다. 이 방법들은 새로 생성된 다중축척 데이터베이스의 위상관계가 원시 데이터베이스로부터 일관성 있게 유도되었는지를 판단하는 근거가 될 수 있다. 또, 다중축척 데이터베이스간에 위상관계의 일관성을 보장하므로 동일 공간에 주어진 사용자 질의는 축척에 상관없이 그 결과가 동일하게 된다.

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Object Tracking using Adaptive Template Matching

  • Chantara, Wisarut;Mun, Ji-Hun;Shin, Dong-Won;Ho, Yo-Sung
    • IEIE Transactions on Smart Processing and Computing
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    • 제4권1호
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    • pp.1-9
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    • 2015
  • Template matching is used for many applications in image processing. One of the most researched topics is object tracking. Normalized Cross Correlation (NCC) is the basic statistical approach to match images. NCC is used for template matching or pattern recognition. A template can be considered from a reference image, and an image from a scene can be considered as a source image. The objective is to establish the correspondence between the reference and source images. The matching gives a measure of the degree of similarity between the image and the template. A problem with NCC is its high computational cost and occasional mismatching. To deal with this problem, this paper presents an algorithm based on the Sum of Squared Difference (SSD) and an adaptive template matching to enhance the quality of the template matching in object tracking. The SSD provides low computational cost, while the adaptive template matching increases the accuracy matching. The experimental results showed that the proposed algorithm is quite efficient for image matching. The effectiveness of this method is demonstrated by several situations in the results section.

안드로이드 동적 클래스 로딩 기법을 이용한 개발단계에서의 보안약점 및 시큐어 코딩 연구 (Research on Secure Coding and Weakness for Implementation of Android-based Dynamic Class Loading)

  • 김현조;최진영
    • 한국멀티미디어학회논문지
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    • 제19권10호
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    • pp.1792-1807
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    • 2016
  • Android application is vulnerable to reverse engineering attack. And by this, it is easy to extract significant module from source code and repackage it. To prevent this problem, dynamic class loading technique, which is able to exclude running code from distributed source code and is able to load running code dynamically during runtime can be used. Recently, this technique was adapted on variety of fields and applications like updating pre-loaded android application, preventing from repacking malicious application, etc. Despite the fact that this technique is used on variety of fields and applications, there is fundamental lack on the study of potential weakness or related secure coding. This paper would deal with potential weaknesses during the implementation of dynamic class loading technique with analysing related international/domestic standard of weaknesses and suggest a secure way for the implementation of dynamic class loading technique. Finally, we believe that this technique described here could increase the level of trust by decreasing the weakness related to dynamic class loading technique.

임상가를 위한 특집 1 - 충치예방과 관련된 천연물(natural products) 연구의 현황 (Natural Product Research in Dental Caries Prevention)

  • 전재규
    • 대한치과의사협회지
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    • 제50권9호
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    • pp.544-551
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    • 2012
  • Dental caries is a biofilm-related oral disease, and continues to afflict the majority of the world's population. Although fluoride, delivered in various modalities, remains the mainstay for the prevention of caries, additional approaches are required to enhance its effectiveness. Natural products have been used as a major source of innovative and effective therapeutic agents throughout human history, and have shown promise as a source of components for the development of new drugs. In addition. studies using natural products to prevent or treat oral diseases such as dental caries have received a great deal of attention. A number of compounds, such as epicatechin, allicin and sanguinarine, isolated from natural products, have also been investigated for their efficacy against oral microbial pathogens. However, the use of natural products as an anti-caries agent in clinical practice was controversial because of inadequate knowledge concerning their mechanisms of action and chemical characterization. This study focuses on the current knowledge of natural products in dental caries prevention and suggests natural products are importance sources for the prevention of dental caries.

차량환경에서 음성명령어기 사용을 위한 음성개선방법 (Speech Enhancement for Voice commander in Car environment)

  • 백승권;한민수;남승현;이봉호;함영권
    • 방송공학회논문지
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    • 제9권1호
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    • pp.9-16
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    • 2004
  • 본 논문에서는 차량용 음성명령어기의 사용을 위한 전처리 과정으로 음성개선 방법을 다룬다 특히 보다 주위 소음에 자유롭고 단말 조작에 있어 안정성을 보장하기 위하여 일반적 단일 마이크로폰으로 처리되는 잡음뿐만 아니라 음성명령어를 제외한 오디오 신호 등 비정적 통계적 특성을 갖는 소음들도 제거 될 수 있도록 음성개선 방법을 제안한다. 우리는 2개의 마이크로폰을 가지고 BSS 알고리즘을 적용하여 비정적 신호들을 분리하고, 분리된 신호에 대하여 Kalman 필터를 이용하여 시간상 단구간 정적 잡음을 제거한다. 인식 실험 결과를 통하여 공간적, 시간적 음성개선 방법이 순차적으로 적용될 때, 실제 차량 환경에서 음성 개선 알고리즘으로 적용될 수 있음을 보였다.

Air Pollutants Tracing Model using Perceptron Neural Network and Non-negative Least Square

  • Yu, Suk-Hyun;Kwon, Hee-Yong
    • 한국멀티미디어학회논문지
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    • 제16권12호
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    • pp.1465-1474
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    • 2013
  • In this paper, air pollutant tracing models using perceptron neural network(PNN) and non-negative least square(NNLS) are proposed. When the measured values of the air pollution and the contribution concentration of each source by chemical transport modeling are given, they estimate and trace the amount of the air pollutants emission from each source. Two kinds of emissions data are used in the experiments : CH4 and N2O of Geumgo-dong landfill greenhouse gas, and PM10 of 17 areas in Northeast Asia and eight regions of the Korean Peninsula. Emission values were calculated using pseudo inverse method, PNN and NNLS. Pseudo inverse method could be used for the model, but it may have negative emission values. In order to deal with the problem, we used the PNN and NNLS methods. As a result, the estimation using the NNLS is closer to the measured values than that using PNN. The proposed tracing models have better utilization and generalization than those of conventional pseudo inverse model. It could be used more efficiently for air quality management and air pollution reduction.

도시철도 역사 신재생에너지 활용을 위한 멀티레벨 인버터 개발 (Multilevel Inverter Development to Utilize Renewable Energy in Urban Railway Station)

  • 신승권;김형철;정호성;박종영;현병수
    • 전기학회논문지
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    • 제64권2호
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    • pp.324-330
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    • 2015
  • Energy Saving Methods in existing railway vehicle are considered by active approach such as regenerative energy storage and utilization, eco driving, etc. On the other hands, energy saving measures in railway station are operated by passive method such as reduction of operating time in ventilation system, cooing system and power equipment. To reduce energy and for independence in railway system, it requires an active energy saving measures. It needs to its own power source besides the power source of electric supply company such as renewable energy and regenerative energy and take the advantage of power storage system and stored power are used in optimum time. This paper deal with 3-level NPC inverter and T-type NPC inverter that used in various multi-level topology applicable to the railway system.

Shannon의 정보이론과 문헌정보 (Shannon's Information Theory and Document Indexing)

  • 정영미
    • 한국문헌정보학회지
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    • 제6권
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    • pp.87-103
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    • 1979
  • Information storage and retrieval is a part of general communication process. In the Shannon's information theory, information contained in a message is a measure of -uncertainty about information source and the amount of information is measured by entropy. Indexing is a process of reducing entropy of information source since document collection is divided into many smaller groups according to the subjects documents deal with. Significant concepts contained in every document are mapped into the set of all sets of index terms. Thus index itself is formed by paired sets of index terms and documents. Without indexing the entropy of document collection consisting of N documents is $log_2\;N$, whereas the average entropy of smaller groups $(W_1,\;W_2,...W_m)$ is as small $(as\;(\sum\limits^m_{i=1}\;H(W_i))/m$. Retrieval efficiency is a measure of information system's performance, which is largely affected by goodness of index. If all and only documents evaluated relevant to user's query can be retrieved, the information system is said $100\%$ efficient. Document file W may be potentially classified into two sets of relevant documents and non-relevant documents to a specific query. After retrieval, the document file W' is reclassified into four sets of relevant-retrieved, relevant-not retrieved, non-relevant-retrieved and non-relevant-not retrieved. It is shown in the paper that the difference in two entropies of document file Wand document file W' is a proper measure of retrieval efficiency.

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