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Table 1. Data Management Table Maintained at Each Sensor Node.

in Safe: A data dissemination protocol for periodic updates in sensor networks
by Sooyeon Kim, Sang H. Son , John A. Stankovic , Shuoqi Li , Yanghee Choi 2003
"... In PAGE 3: ... Such a node that works as a representative of actual data consumers is referred to as data sink or simply sink. Every node is supposed to maintain the recent query in- formation and a data management table where each entry is identified by a tuple of (location, data type) as illustrated in Table1 . Receiving a query transferred from another node, a sensor node executes a function described in Figure 3.... ..."
Cited by 15

Table 1: Sensor Description

in Sensor Management Simulation and Comparative Study
by Gregory Mcintyre, Kenneth J. Hintz 1997
"... In PAGE 3: ... The first position is along the X axis of the search area while the other is along the Y axis. A summary of the sensors is provided in Table1 . For comparison purposes, two management schemes were modeled.... ..."
Cited by 1

Table 1: zur Verf ugung and verbal partner collocates

in Acquisition of Phraseological Units from Linguistically Interpreted Corpora -- A Case Study on German PP-Verb Collocations
by Brigitte Krenn

Table 1. Sensor query structure (modified SQTL) based on the 3-level hierarchical cluster-based network management

in A Design and Implementation of Wireless Sensor Gateway for Efficient Querying and Managing through World Wide Web
by Kwang-il Hwang, Jeongsik In, Nhokyung Park, Doo-seop Eom 2003

Table 3. Weight and power of the SBV sensor.

in D. C. HARRISON AND J. C. CHOW The Space-Based Visible Sensor
by The Space-Based Visible, David C. Harrison, Joseph C. Chow
"... In PAGE 6: ...8 A complete-system thermal vacuum test was run prior to spacecraft integration, simulating the worst- case orbital environments predicted for MSX. The first verifications to come out of integration and testing were that the SBV sensor met its weight and power budgets, as summarized in Table3 . The weight budget was met by careful configuration management.... ..."

Table 2: zur Verf ugung-verb collocations as prenominal modi ers Tokens Occurrence Frequency

in Acquisition of Phraseological Units from Linguistically Interpreted Corpora -- A Case Study on German PP-Verb Collocations
by Brigitte Krenn

Table 2: Applicable Function Table Mapping Management Functions to Scheduling Tasks

in Sensor Management Simulation and Comparative Study
by Gregory Mcintyre, Kenneth J. Hintz 1997
"... In PAGE 2: ... The sensor tasks were divided into 10 tasks of either measuring x; y; x and y; or x, y, and G06 x with either a high or low desired level of accuracy. The applicable function table mapping the four sensor manager functions to the 10 sensor tasks is shown in Table2 . The applicable sensor table used in our implementation of OGUPSA to schedule tasks to the sensors is shown in Table 3.... ..."
Cited by 1

Table 1: Comparison of the different sensor types found inside the PSM

in Assessing Incident Severity in a Network and Automatic Defense Mechanisms ∗
by Luis Servin, Till Dörges, Klaus-peter Kossakowski, Presecure Consulting Gmbh 2007
"... In PAGE 6: ... This decision will reside within the management responsible for the deployment of the POSITIF framework, while the framework will allow for automation according to the work plan. Summarizing the information just presented regarding each sensor type, Table1 is pre-... ..."

Table 2. Deliberative Components in Sensor Fusion Effects Component Role

in the design and providing helpful discussions, demonstrations, comments and criticisms. Table of Contents List of Tables iii
by Matthew T. Long 2004
"... In PAGE 29: ... Prior work done with this manager includes error handling [41, 73] and sensing allocation [24]. See Table2 for a listing of the deliberative components and their responsibilities.... ..."

Table 1. Example of interactive consistency, sensor C being faulty

in unknown title
by unknown authors 2004
"... In PAGE 29: ... Exact agreement guarantees that all the non faulty managers obtain the same set S of data and the data sent by the non faulty nodes are part of this set. However, consistent outlying data can remain in the set, as shown in Table1 . To prevent corruption of the decision by these outliers, the largest and smallest data are dropped from the set S and the average data is computed over the remaining data.... ..."
Cited by 19
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