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NASA Scientific and Technical Aerospace Reports - The University ...

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it is an exploration of ad-hoc retrieval over a large set of queries <strong>and</strong> a large collection of documents; second, it investigates<br />

questions of system evaluation, in particular whether it is better to evaluate using many shallow judgments or fewer thorough<br />

judgments. As with the 2007 track [ACA+07], participants ran 10,000 queries against a collection of 25 million documents.<br />

<strong>The</strong> 2008 track differed in the following ways: 1. Queries were assigned to one of four categories. 2. Each query was assigned<br />

a target of 8, 16, 32, 64, or 128 judgments. 3. Assessors could judge documents \not relevant but reasonable. Section 1<br />

describes how the corpus <strong>and</strong> queries were selected, the query classes, details of the submission formats, <strong>and</strong> a brief<br />

description of each submitted run. Section 2 provides an overview of the judging process, including a sketch of how it<br />

alternated between two methods for selecting the small set of documents to be judged. Sections 3.1 <strong>and</strong> 3.2 provide an<br />

overview of those two selection methods, developed at UMass <strong>and</strong> NEU, respectively. In Section 4 we present statistics<br />

collected during the judging process, including the total number of queries judged, how many judgments were served by each<br />

approach, <strong>and</strong> so on, along with the overall results of the track. We present additional results <strong>and</strong> analysis in Section 5.<br />

DTIC<br />

Information Retrieval; Information Analysis; Query Languages; Searching<br />

20100017174 New York Dept. of State, Albany, NY, USA<br />

Coast Zone Management Study Stage II<br />

July 1977; 136 pp.; In English<br />

Report No.(s): PB2010-104025; No Copyright; Avail.: CASI: A07, Hardcopy<br />

In 1972, the Congress of the USA passed the Coastal Zone Management Act after almost a decade of research leading<br />

to a national policy on major waterways. <strong>The</strong> main purpose of this legislation was to encourage all levels of government to<br />

work to achieve the wise use of the l<strong>and</strong> <strong>and</strong> water resources of the coastal zone giving full consideration to ecological,<br />

cultural, historic <strong>and</strong> aesthetic values as well as the need for economic development. During Phase II of the program, emphasis<br />

has been placed on identifying specific coastal resources <strong>and</strong> determining which geographical areas are of particular concern<br />

either because of their resources or the conditions which exist there. This report contains extensive basic data such as existing<br />

l<strong>and</strong> use in the coastal towns, soil conditions, location of wetl<strong>and</strong>s, the status of water <strong>and</strong> sewer facilities, <strong>and</strong> zoning as well<br />

as a detailed description of the Geographical Areas of Particular Concern. Also included are maps showing permissible l<strong>and</strong><br />

uses by priority for the entire coastal area where l<strong>and</strong> use conflicts either already exist or may be anticipated.<br />

NTIS<br />

Coasts; Marine Resources; Law (Jurisprudence); Environment Management<br />

20100017259 Texas A&M Univ., College Station, TX, USA<br />

Intelligent Transportation Systems Data Compression Using Wavelet Decomposition Technique<br />

Qiao, Fengxiang; Liu, Hao; Yu, Lei; December 2009; 84 pp.; In English<br />

Report No.(s): PB2010-107422; SWUTC/09/167651-1; No Copyright; Avail.: National <strong>Technical</strong> Information Service<br />

(NTIS)<br />

Intelligent Transportation Systems (ITS) generates massive amounts of traffic data, which posts challenges for data<br />

storage, transmission <strong>and</strong> retrieval. Data compression <strong>and</strong> reconstruction technique plays an important role in ITS data<br />

procession. Traditional compression methods have been utilized in Transportation Management Centers (TMCs), but the data<br />

redundancy <strong>and</strong> compression efficiency problems remain. In this report, the wavelet incorporated ITS data compression<br />

method is initiated. <strong>The</strong> proposed method not only makes use of the conventional compression techniques but, in addition,<br />

incorporates the one-dimensional discrete wavelet compression approach. Since the desired wavelet compression is a lossy<br />

algorithm, the balancing between the compression ratio <strong>and</strong> the signal distortion is exceedingly important. During the<br />

compression process, the determination of the threshold is the key issue that affects both the compression ratio <strong>and</strong> the signal<br />

distortion. An algorithm is proposed that can properly select the threshold by balancing the two contradicted aspects. Three<br />

performance indexes are constructed <strong>and</strong> the relationships between the three indices <strong>and</strong> the threshold are identified in the<br />

algorithm. A MATLAB program with the name Wavelet Compression for ITS Data (WCID) has been developed to facilitate<br />

the compression tests. A case study on TransGuide ITS data was put into play <strong>and</strong> a final compression ratio of less than one<br />

percent on the trade-off threshold value shows that the proposed approach is practical. Finally, the threshold selection<br />

algorithm can be further tuned up utilizing Autoregressive model so that the quality of reconstructed data can be improved<br />

with a minor overhead of saving only a few parameters.<br />

NTIS<br />

Data Compression; Decomposition; Signal Distortion; Transportation; Wavelet Analysis<br />

182

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