Recent advances in analyzing and predicting rapid intensity change in tropical cyclones suggest that the distribution and intensity of convective activity in the storm play an important role, particularly their occurrence with respect to the dynamically significant vortex structure. We developed a framework to detect and analyze these features from satellite observations of the condensed water, using it as a proxy for the distribution of the associated latent heating and, hence, the intensity of convective activity. Here we use passive microwave measurements of the condensed water from the GPM and TRMM constellations of conically-scanning radi-ometers and employ a low-wave-number decomposition of the 2D fields of columnar condensate to depict the radial distribution of the azimuthally-averaged fields (the magnitude of wave number 0 - WNO), as well as the radial distribution of the first order asymmetry that is captured by the magnitude and azimuthal orientation of the first harmonic in the Fourier decomposition (WN1). Our analyses of a number of hurricanes illustrate the potential predictive abilities of this satellite-based analysis framework, laying the ground for future investigations.

RainCube (Radar In a CubeSat), developed by the Jet Propulsion Laboratory (JPL) and launched in 2018, was a technology demonstration supported by NASA. RainCube’s radar is the first spaceborne profiling radar fitting on a platform as small as a 6U ($10\times 20\times 30\,\,\mathrm {cm^{3}}$) CubeSat. This article shows how, despite its smaller size compared to traditional spaceborne radars, RainCube was able to measure clouds and precipitation in the mid-latitude and intertropical regions. Moreover, since RainCube’s measurements are oversampled in the along-track (AT) direction, the horizontal resolution can be enhanced by a robust Wiener deconvolution algorithm. After more than two and a half years of operation, the RainCube mission came to an end on 24 December 2020. The collected record of Ka-band radar profiles compares favorably to collocated measurements from other ground-based and spaceborne radars both radiometrically and geophysically. The examples of multiradar collocations also provide some insights into the potential of constellations of spaceborne radars to study clouds and storms.

The paper discusses the hurricane intensity changes using machine learning technologies and data visualization.

Since the Web encourages hypertext and hypermedia document authoring (e.g., HTML or XML), Web authors tend to create documents that are composed of multiple pages connected with hyperlinks. A Web document may be authored in multiple ways, such as: (1) all information in one physical page, or (2) a main page and the related information in separate linked pages. Existing Web search engines, however, return only physical pages containing keywords. We introduce the concept of information unit, which can be viewed as a logical Web document consisting of multiple physical pages as one atomic retrieval unit. We present an algorithm to efficiently retrieve information units. Our algorithm can perform progressive query processing. These functionalities are essential for information retrieval on the Web and large XML databases. We also present experimental results on synthetic graphs and real Web data.

Site maps are essential to assist users in navigating a Web site. Most of the site maps are constructed manually and are static. However, di erent users may have di erent preferences and purposes for using a Web site. For example, a user may want to see a more detailed map while another user prefers a more abstract map. Two users looking for di erent topics at a large portal site would bene t more from two site maps with di erent focuses than a single map. In this paper, we present a technique for automatically constructing multi-granular and topic-focused site maps by utilizing directory paths, page contents, and link structures. In these site maps, the Web site topology is preserved and document importance, indicated by citation and semantic relevancy to user's topics of interest, is used for prioritizing the presentation of pages and directories. Experiments on real Web data have been conducted to validate the usefulness of the technique.

Article Retrieving and organizing web pages by "information unit" Share on Authors: Wen-Syan Li C&C Research Laboratories, NE, Inc., 110 Rio Robles, M/S SJ100, San Jose, CA C&C Research Laboratories, NE, Inc., 110 Rio Robles, M/S SJ100, San Jose, CAView Profile , K. Selçuk Candan C&C Research Laboratories, NE, Inc., 110 Rio Robles, M/S SJ100, San Jose, CA C&C Research Laboratories, NE, Inc., 110 Rio Robles, M/S SJ100, San Jose, CAView Profile , Quoc Vu C&C Research Laboratories, NE, Inc., 110 Rio Robles, M/S SJ100, San Jose, CA C&C Research Laboratories, NE, Inc., 110 Rio Robles, M/S SJ100, San Jose, CAView Profile , Divyakant Agrawal C&C Research Laboratories, NE, Inc., 110 Rio Robles, M/S SJ100, San Jose, CA C&C Research Laboratories, NE, Inc., 110 Rio Robles, M/S SJ100, San Jose, CAView Profile Authors Info & Claims WWW '01: Proceedings of the 10th international conference on World Wide WebMay 2001 Pages 230–244https://doi.org/10.1145/371920.372057Online:01 April 2001Publication History 66citation1,478DownloadsMetricsTotal Citations66Total Downloads1,478Last 12 Months11Last 6 weeks3 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

article Free Access Share on PowerBookmarks: a system for personalizable Web information organization, sharing, and management Authors: Wen-Syan Li C&C Research Laboratories, NEC USA, Inc., 110 Rio Robles, M/S SJ1OO, San Jose, CA C&C Research Laboratories, NEC USA, Inc., 110 Rio Robles, M/S SJ1OO, San Jose, CAView Profile , Quoc Vu C&C Research Laboratories, NEC USA, Inc., 110 Rio Robles, M/S SJ1OO, San Jose, CA C&C Research Laboratories, NEC USA, Inc., 110 Rio Robles, M/S SJ1OO, San Jose, CAView Profile , Edward Chang C&C Research Laboratories, NEC USA, Inc., 110 Rio Robles, M/S SJ1OO, San Jose, CA C&C Research Laboratories, NEC USA, Inc., 110 Rio Robles, M/S SJ1OO, San Jose, CAView Profile , Divyakant Agrawal View Profile , Kyoji Hirata View Profile , Sougata Mukherjea View Profile , Yi-Leh Wu View Profile , Corey Bufi View Profile , Chen-Chuan Kevin Chang View Profile , Yoshinori Hara C&C Research Laboratories, NEC USA, Inc., 110 Rio Robles, M/S SJ1OO, San Jose, CA C&C Research Laboratories, NEC USA, Inc., 110 Rio Robles, M/S SJ1OO, San Jose, CAView Profile , Reiko Ito 5th Development Department, 2nd Computers Software Division, NEC Corporation, 1-10, Nisshin-Cho, Fuchu-Shi, Tokyo 183-8501, Japan 5th Development Department, 2nd Computers Software Division, NEC Corporation, 1-10, Nisshin-Cho, Fuchu-Shi, Tokyo 183-8501, JapanView Profile , Yutaka Kimura 5th Development Department, 2nd Computers Software Division, NEC Corporation, 1-10, Nisshin-Cho, Fuchu-Shi, Tokyo 183-8501, Japan 5th Development Department, 2nd Computers Software Division, NEC Corporation, 1-10, Nisshin-Cho, Fuchu-Shi, Tokyo 183-8501, JapanView Profile , Kezuyuki Shimazu 5th Development Department, 2nd Computers Software Division, NEC Corporation, 1-10, Nisshin-Cho, Fuchu-Shi, Tokyo 183-8501, Japan 5th Development Department, 2nd Computers Software Division, NEC Corporation, 1-10, Nisshin-Cho, Fuchu-Shi, Tokyo 183-8501, JapanView Profile , Yukiyoshi Saito 5th Development Department, 2nd Computers Software Division, NEC Corporation, 1-10, Nisshin-Cho, Fuchu-Shi, Tokyo 183-8501, Japan 5th Development Department, 2nd Computers Software Division, NEC Corporation, 1-10, Nisshin-Cho, Fuchu-Shi, Tokyo 183-8501, JapanView Profile Authors Info & Claims ACM SIGMOD RecordVolume 28Issue 2June 1999 pp 565–567https://doi.org/10.1145/304181.304578Online:01 June 1999Publication History 22citation480DownloadsMetricsTotal Citations22Total Downloads480Last 12 Months6Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

A geographical information system (GIS) is a digital information system whose records are spatially referenced data. When building GIS systems from maps, it is very important that the objects represented in these maps are accurately located. Corrupted maps are frequent; in order to correct distortions introduced in the maps, we have designed a fast image warping algorithm that can handle huge maps within a short processing time. Our algorithm takes advantage of the binary nature of our maps and also the low density of pixels representing the information. In addition, we deal with local distortions by dividing the whole image into triangles, which enables us to apply independent warping transformation for each triangle.