993 resultados para 186-1151
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Calibration of a camera system is a necessary step in any stereo metric process. It correlates all cameras to a common coordinate system by measuring the intrinsic and extrinsic parameters of each camera. Currently, manual calibration of a camera system is the only way to achieve calibration in civil engineering operations that require stereo metric processes (photogrammetry, videogrammetry, vision based asset tracking, etc). This type of calibration however is time-consuming and labor-intensive. Furthermore, in civil engineering operations, camera systems are exposed to open, busy sites. In these conditions, the position of presumably stationary cameras can easily be changed due to external factors such as wind, vibrations or due to an unintentional push/touch from personnel on site. In such cases manual calibration must be repeated. In order to address this issue, several self-calibration algorithms have been proposed. These algorithms use Projective Geometry, Absolute Conic and Kruppa Equations and variations of these to produce processes that achieve calibration. However, most of these methods do not consider all constraints of a camera system such as camera intrinsic constraints, scene constraints, camera motion or varying camera intrinsic properties. This paper presents a novel method that takes all constraints into consideration to auto-calibrate cameras using an image alignment algorithm originally meant for vision based tracking. In this method, image frames are taken from cameras. These frames are used to calculate the fundamental matrix that gives epipolar constraints. Intrinsic and extrinsic properties of cameras are acquired from this calculation. Test results are presented in this paper with recommendations for further improvement.
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Engineering changes (ECs) are raised throughout the lifecycle of engineering products. A single change to one component produces knock-on effects on others necessitating additional changes. This change propagation significantly affects the development time and cost and determines the product's success. Predicting and managing such ECs is, thus, essential to companies. Some prediction tools model change propagation by algorithms, whereof a subgroup is numerical. Current numerical change propagation algorithms either do not account for the exclusion of cyclic propagation paths or are based on exhaustive searching methods. This paper presents a new matrix-calculation-based algorithm which can be applied directly to a numerical product model to analyze change propagation and support change prediction. The algorithm applies matrix multiplications on mutations of a given design structure matrix accounting for the exclusion of self-dependences and cyclic propagation paths and delivers the same results as the exhaustive search-based Trail Counting algorithm. Despite its factorial time complexity, the algorithm proves advantageous because of its straightforward matrix-based calculations which avoid exhaustive searching. Thereby, the algorithm can be implemented in established numerical programs such as Microsoft Excel which promise a wider application of the tools within and across companies along with better familiarity, usability, practicality, security, and robustness. © 1988-2012 IEEE.
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铜鱼(Coreius heterodon)作为长江中、上游的重要经济鱼类是研究三峡大坝阻隔效应的重要材料之一。然而,过去的铜鱼标本都保存在福尔马林溶液中,有必要探讨从福尔马林固定的铜鱼标本中有效提取基因组DNA的方法以及这些DNA用于微卫星和线粒体分析的可行性。本实验通过改进的酒精梯度浸泡法去除标本中的甲醛,然后用酚-氯仿抽提法成功地提取到了铜鱼标本的基因组DNA;设计引物后进行了线粒体和微卫星的PCR扩增,扩增产物经银染检测。微卫星扩增结果显示只有部分个体可以扩出目的带,而线粒体控制区部分区段在所有个体
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采用气-质联用技术分析了武汉汉阳月湖和莲花湖的4个表层沉积物样品中的有机污染物,探讨了两湖沉积物受持久性有机物污染的程度。月湖中共检测出124种有机物,其中属环境优先控制污染物和美国EPA筛选的内分泌干扰物19种;莲花湖中共检测出186种有机物,环境优先控制污染物和美国EPA筛选的内分泌干扰物34种。主要污染物包括:酞酸酯、酯类、酚类、杂环和苯及其衍生物等。污染物浓度顺序为L1>L2>Y2>Y1,莲花湖中有机物浓度明显高于月湖。两湖邻苯二甲酸酯的含量最高,占了污染物总量的96%~98%,邻苯二甲酸乙基己基
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记述了采自湖北省西部神农架国家森林公园苔藓中的缓步动物12种,包括:日本棘影熊虫Echiniscus japonicus Morikawa,1951;双粒棘影熊虫Echiniscus bigranulatus Richters,1907中国新纪录种;华美假棘影熊虫Pseudechiniscus facettalis Petersen,1951;于猪假棘影熊虫Pseudechiniscus suillus(Ehrenberg,1853);迟缓小斑熊虫Milnesium tardigradum(Doyère,
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微生物对整个生态系统具有重要的影响,了解和检测微生物的种类具有十分重要的意义。但是传统的培养方法又不能满足科学研究的需要,荧光原位杂交技术(FISH)就是近年发展起来的一种快速准确检测微生物的方法。作者较全面地介绍了FISH技术的优点、微生物的分离和固定方法,以及原位杂交过程,同时对FISH技术在环境微生物学中的应用及其前景作了展望。
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国家自然科学基金39400024;淡水生态与生物技术国家重点实验室资助
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我国对虾暴发性流行病病因初探江育林,张奇亚,刘荭,李彦,李正秋(中国科学院水生生物研究所武汉430072)关键词杆状病毒、对虾病毒病、中国对虾、日本对虾STUDYONCAUSEOFINFECTIONSDISEAESOFPENAEIDSHRIMPINC...
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<正> 银鲫是行天然雌核发育生殖的鱼类。以往对其繁殖生物学的研究一般都认为:异源父本的性状不能或仅能少量地在子代群体中得到表达。但桂建芳等(1991)在人工繁育的异育银鲫群体中发现了具有一整套父本染色体组的复合四倍体鱼,其出现率为0.2%左右。此外,Kobayasi
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<正> 葡萄藻作为一种新的再生性能源的研究,已引起了不少学者的重视。其中较为关键的是对葡萄藻所含脂类物质的研究。过去通常采用重量法及各类色谱法测定植物中的脂类物质。这些方法不但繁琐,而且均需一个较长时间的提取过程。近年来国外采用一种新型染料——尼罗
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<正> 宜昌鳅(鱼它)系底栖性小型鱼类,在长江宜昌江段的渔获物中时有出现。繁殖期为5—6月,产漂流性卵,膜径在3.1—4.0毫米之间,水温21.2—25℃时,受精卵约经40小时孵出。作者对其仔稚鱼的形态进行了观察。实验材料系长江宜都江段采得的天然受精卵,经室内孵化培养而成的仔稚鱼。选择一尾经乌拉坦(ureathane)麻醉后在解剖镜下测量身体各部比例,记述形态特征,并绘制草图。另选两尾作对照。开始摄食后,以浮游生物喂养,培育至外