• 제목/요약/키워드: Research Objects

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황남대총(남분)의 서역계 유리제품 특성화 연구 (Characterization of Western Asia Glassware excavated from Hwangnamdaechong Great Tomb)

  • 강형태;정영동;허우영;신용비
    • 한국문화재보존과학회:학술대회논문집
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    • 한국문화재보존과학회 2004년도 제20회 발표논문집
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    • pp.131-134
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    • 2004
  • A lot of foreign objects(ceramics, pottery, bronze, glassware and coins, etc.) have been found in the archaeological sites in Korea. These foreign objects are the evidences of the cultural exchanges of that time, whose scale and routes are an important part of the studies in ancient history. So it is crucial to accumulate basic reference information such as the raw materials and the production method of these objects through scientific researches, along with archeological researches. These scientific research materials provide a basis for finding the importing route and the origin of these objects. Besides, we can find out extraordinary and distinctive production technique by comparison with tile domestic objects. This article reports the result of an analysis, performing on 36 samples of the glassware fragments excavated from the South Tomb of the Hwangnamdaechong, to verify their components and note peculiar features. We have analyzed the major and minor components of 10 elements, and then by using these data examined the differences in the composition of components, varying with the origin and color of glassware. We used the PCA(principal component analysis) as the statistical method to classify the sample in order to find out how the samples formed groups.

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A Study on Displaying Color and Symbol of Ice Objects in ECDIS

  • Luong, Tu-Nam;Im, Nam-Kyun
    • 한국항해항만학회지
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    • 제43권5호
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    • pp.296-301
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    • 2019
  • The Electronic Chart Display and Information System (ECDIS) is an integral component of ship navigation equipment, that enables mariners to view Electronic Navigational Charts (ENC). Recently, it has become possible to transport freight and energy resources via the Northern Sea Routes (NSR) as global warming has been accelerating. However, ice can impact all types of ships and the potential danger that ice poses is significant. Until now, ice, consistently proven to be one of the most dangerous threats impacting navigation in ice-covered regions, has its detailed standard in the specification of the International Hydrographic Organization (IHO) for ECDIS. The investigations described in this paper were conducted to assess the advantages and problems of the display of ice objects on ECDIS. The experiments were conducted by using the Geographic Information System (GIS) to perform ice objects with their corresponding colors and symbols. Implementation of the standardized appearance of ice objects can enable mariners to access the ice condition of seas in a short time before navigating a safe passage through potentially treacherous waters. However, remain issues that must be overcome for data on ice to be fully compatible with an ECDIS system.

건축설계교육에서 다중의미를 가진 형태 모델링에 관한 BIM의 효율성에 관한 연구 (A Study on the Efficiency of BIM on the Multi-Semantic Form Modeling in Architectural Design Education)

  • 홍승완;조민정
    • 한국BIM학회 논문집
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    • 제6권1호
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    • pp.18-24
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    • 2016
  • While the advantages of BIM stem in the automatic and efficient assembling amongst the given, single semantic-embedded objects, it is still unknown the efficiency of BIM for developing the form that has more than one functions. To investigate the research question, in an authentic design course, the participants (N=38) assessed the efficiency of BIM when they designed a shop with the single semantic-embedded objects and multi-semantic objects. Independent T-tests reveal that in BIM, the use of the single semantic-embedded objects is statistically more efficient than that of multi-semantic objects (p<0.01). As the reason, in interviews, the participants reported that they had to split down the planned multi-meanings and assign only one meaning to one form in order to utilize the automatic assembling of BIM. Thus, they spent much effort and time for re-coordinating the match between the forms and multi-semantics. The findings of this study highlight the further directions of BIM in order to suit for the empirical practices of architects.

Detection of Multiple Salient Objects by Categorizing Regional Features

  • Oh, Kang-Han;Kim, Soo-Hyung;Kim, Young-Chul;Lee, Yu-Ra
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권1호
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    • pp.272-287
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    • 2016
  • Recently, various and effective contrast based salient object detection models to focus on a single target have been proposed. However, there is a lack of research on detection of multiple objects, and also it is a more challenging task than single target process. In the multiple target problem, we are confronted by new difficulties caused by distinct difference between properties of objects. The characteristic of existing models depending on the global maximum distribution of data point would become a drawback for detection of multiple objects. In this paper, by analyzing limitations of the existing methods, we have devised three main processes to detect multiple salient objects. In the first stage, regional features are extracted from over-segmented regions. In the second stage, the regional features are categorized into homogeneous cluster using the mean-shift algorithm with the kernel function having various sizes. In the final stage, we compute saliency scores of the categorized regions using only spatial features without the contrast features, and then all scores are integrated for the final salient regions. In the experimental results, the scheme achieved superior detection accuracy for the SED2 and MSRA-ASD benchmarks with both a higher precision and better recall than state-of-the-art approaches. Especially, given multiple objects having different properties, our model significantly outperforms all existing models.

Bin-picking method using laser

  • Joo, Kisee;Han, Min-Hong
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 1995년도 춘계공동학술대회논문집; 전남대학교; 28-29 Apr. 1995
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    • pp.306-315
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    • 1995
  • This paper presents a bin picking method using a slit beam laser in which a robot recognizes all of the unoccluded objects from the top of jumbled objects, and picks them up one by one. Once those unoccluded objects are removed, newly developed unoccluded objects underneath are recognized and the same process is continued until the bin gets empty. To recognize unoccluded objects, a new algorithm to link edges on slices which are generated by the orthogonally mounted laser on the xy table is proposed. The edges on slices are partitioned and classified using convex and concave function with a distance parameter. The edge types on the neighborhood slices are compared, then the hamming distances among identical kinds of edges are extracted as the features of fuzzy membership function. The sugeno fuzzy integration about features is used to determine linked edges. Finally, the pick-up sequence based on MaxMin theory is determined to cause minimal disturbance to the pile. This proposed method may provide a solution to the automation of part handling in manufacturing environments such as in punch press operation or part assembly.

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자율주행을 위한 라이다 기반 객체 인식 및 분류 (Lidar Based Object Recognition and Classification)

  • 변예림;박만복
    • 자동차안전학회지
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    • 제12권4호
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    • pp.23-30
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    • 2020
  • Recently, self-driving research has been actively studied in various institutions. Accurate recognition is important because information about surrounding objects is needed for safe autonomous driving. This study mainly deals with the signal processing of LiDAR among sensors for object recognition. LiDAR is a sensor that is widely used for high recognition accuracy. First, we clustered and tracked objects by predicting relative position and speed of objects. The characteristic points of all objects were extracted using point cloud data of each objects through proposed algorithm. The Classification between vehicle and pedestrians is estimated using number of characteristic points and distances among characteristic points. The algorithm for classifying cars and pedestrians was implemented and verified using test vehicle equipped with LiDAR sensors. The accuracy of proposed object classification algorithm was about 97%. The classification accuracy was improved by about 13.5% compared with deep learning based algorithm.

Research on detecting moving targets with an improved Kalman filter algorithm

  • Jia quan Zhou;Wei Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권9호
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    • pp.2348-2360
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    • 2023
  • As science and technology evolve, object detection of moving objects has been widely used in the context of machine learning and artificial intelligence. Traditional moving object detection algorithms, however, are characterized by relatively poor real-time performance and low accuracy in detecting moving objects. To tackle this issue, this manuscript proposes a modified Kalman filter algorithm, which aims to expand the equations of the system with the Taylor series first, ignoring the higher order terms of the second order and above, when the nonlinear system is close to the linear form, then it uses standard Kalman filter algorithms to measure the situation of the system. which can not only detect moving objects accurately but also has better real-time performance and can be employed to predict the trajectory of moving objects. Meanwhile, the accuracy and real-time performance of the algorithm were experimentally verified.

규칙파상에서 부유체의 움직임 (Motion of Buoyant Objects on Regular Waves)

  • 방갑선;조성현
    • 한국콘텐츠학회논문지
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    • 제7권4호
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    • pp.170-177
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    • 2007
  • 부유체가 등장하는 콘텐츠에서 부유체의 길이, 너비, 무게, 속도 등의 속성과 파도의 파장과 방향 등 파도 특성의 변화를 동적으로 표현할 수 있다면 콘텐츠 개발에 도움이 될 것이다. 따라서 본 논문에서는 조선해양공학에서 사용하는 부유체의 운동방정식을 이용하여 부유체의 상하운동이 부유체의 속성과 파도의 특성 변화에 따라서 어떻게 변화하는지 실험을 통하여 검증하였다. 본 논문의 연구 결과는 조선해양공학에 깊은 지식이 없더라도 콘텐츠 개발자가 부유체가 등장하는 콘텐츠를 개발하는데 도움이 될 것이다. 본 논문에서 부유체의 속도 및 파도의 파장과 방향이 동적으로 변할지 라도 실시간으로 부유체의 움직임을 계산을 할 수 있음을 보여주었다 향후에는 불규칙 파도에서 부유체가 어떻게 움직이는지 연구하고 이를 계산하는 부유체엔진을 개발하고자 한다.

다중 동적객체의 실시간 독립추적을 통한 프로젝션 증강가시화 (Real-Time Individual Tracking of Multiple Moving Objects for Projection based Augmented Visualization)

  • 이준형;김기홍
    • 디지털융복합연구
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    • 제12권11호
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    • pp.357-364
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    • 2014
  • 기존 증강현실 콘텐츠 경우 고정된 마커를 빠르게 이동시키면 가시화에 끊김 현상이 발생하게 된다. 따라서 동적 마커를 사용할 경우에도 콘텐츠가 끊어짐 없이 사용자에게 제공되는 방법이 요구된다. 카메라에 입력된 한 장의 이미지 내에 두 개 이상의 마커가 존재할 경우 기존의 이미지 기반 마커와 SLAM(Simultaneous Localization & Mapping) 방식을 통해서는 각각의 마커를 동시에 추적할 수 없다. 본 논문은 각 마커 위에 정합된 객체들 간의 상호작용은 불가능하다는 점을 극복함은 물론, 빠르게 움직이는 마커를 실시간으로 추적하여 그 위에 원하는 객체를 정확하게 증강 가시화하는 방법론을 제안한다. 이를 위해, 주행형 로봇과 시범 콘텐츠의 가상로봇을 동기화하여, 주행형 로봇 상에 콘텐츠가 가시화되도록 하였다. 그리고 카메라 한 대로 다중 동적객체를 추적하여 서로 상호작용하는 기술을 제안하였다. 결과적으로 가상로봇과 실제로봇을 연동하여 상호작용하도록 함으로써 실시간 동적객체 추적 및 가시화 기술의 유용성을 검증하였다.

출토금속 문화재의 보존과 현황 (The Conservation and Current Condition of the Excavated Metallic Objects)

  • 문환석
    • 보존과학회지
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    • 제6권2호
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    • pp.141-148
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    • 1997
  • 각종 국토개발사업이 본격적으로 시작된 1970년대 이후 그에 따른 발굴조사도 매년 증가되고 있다. 다양한 재질로 이루어진 유물은 출토후 보관환경에 따라 돌이킬 수 없는 손상을 받을 수 있다. 출토 유물의 보존에 대한 중요성은 증가되고 있으나, 발굴을 담당하는 기관과 비교하여, 출토된 유물을 보존처리하는 기관은 소수에 불과한 실정이다. 일반적으로 출토된 금속유물은 불안정하여 쉽게 손상되어진다. 특히 주조철제는 발굴후 건조되지 않도록 해야 한다. 이는 출토된 주조철제가 흙, 부식층과 금속심으로 이루어진 층 사이에서 건조로 인해 유물이 순간적으로 붕괴되어지기 때문이다. 출토된 금속유물의 안전한 보존방법은 다음과 같이 요약할 수 있다. (1)먼저 발굴현장에서 금속유물은 환경변화에 따른 손상을 방지하기 위해 유물포장용 특수비닐로 밀봉처리 하거나 알칼리 용액속에 침적시키는 것이다. (2)현장에서 임시 보존처리후 유물은 보존처리실에서 안전한 방법에 의한 처리를 해야 한다. (3)처리된 유물은 일정한 온${\cdot}$습도 유지, 주기적인 상태조사, 자외선 차단 등 안정한 보관환경을 유지시켜야만 재부식을 방지할 수 있다.

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