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  • OPC 10000-13 Unified Architecture Part 13 Aggregates

    5 Aggregate specific usage of Services 5.4 Aggregate details 5.4.3 Specific Aggregated data handling 5.4.3.1 General. When accessing aggregated data using the HistoryRead or the CreateMonitoredItems Service, the following rules are used to handle specific Aggregate use cases.. If ProcessingInterval is 0, the Server shall create one Aggregate value for the entire time range.

  • .: EFFICIENT COMPUTATION OF RANGE AGGREGATES AGAINST

    Oct 03, 2011· In this paper, we study the problem of efficiently computing range aggregates in a multidimensional space when the query location is uncertain. Specifically, for a query point Q whose location is uncertain and a set S of points in a multi-dimensional space, we want to calculate the aggregate (e.g., count,average and sum ) over the subset S I

  • Uncertain Location based Range Aggregates in a multi

    Abstract—Uncertain data are inherent in many applications such as environmental surveillance and quantitative economics research. Recently, considerable research efforts have been put into the field of analysing uncertain data. In this paper, we s tudy the problem of processing the uncertain location based range aggregate in a multi

  • range aggregate processing in spatial databases

    The range aggregate query on both nonspatial dimensions and spatial dimensions is a very important operation to support spatial OLAP., Read More; Probabilistic Threshold Range Aggregate Query Processing . Large amount of uncertain data is inherent in many novel and important appliions such as sensor data analysis and mobile data management.

  • Efficient Compution of Range Aggregates Against Uncertain

    uncertain queries are involved. In this paper, we investigate the problem of efficiently computing distance based range aggregates over certain data points and uncertain query points as described in the abstract. In general, an uncertain query Q is a multi-dimensional point that might appear at

  • Multi Product Multi Period Aggregate Production Planning

    Keywords: Random value, Data range, imprecise parameters and uncertain Demand forecasting can be classified as short, medium and longe range. Aggregate Production Planning (APP) is an

  • Efficient Computation of Range Aggregates against

    A probabilistic threshold range aggregate (PTRA) query retrieves summarized information about the uncertain objects satisfying a range query, with respect to a given probability threshold.

  • 1244 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA

    based uncertain location range aggregate query on points data; it is formally defined below. Definition 3 (Uncertain Range Aggregate Query). Given a set S of points, an uncertain query Q, a query distance,and a probabilistic threshold,we want to compute an aggregate function (e.g., count, avg, and sum) against points p 2Q; ðSÞ, where Q

  • CiteSeerX — Efficient computation of range aggregates

    CiteSeerX Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract—In many applications, including location-based services, queries may not be precise. In this paper, we study the problem of efficiently computing range aggregates in a multidimensional space when the query location is uncertain. Specifically, for a query point Q whose location is uncertain and a set S of

  • CiteSeerX — Uncertain Location based Range Aggregates in a

    Recently, considerable research efforts have been put into the field of analysing uncertain data. In this paper, we study the problem of processing the uncertain location based range aggregate in a multi-dimensional space. We first formally introduce the problem, then propose a general filtering-and-verification framework to solve the problem.

  • Uncertain Location Based Range Aggregates in a Multi

    Uncertain data are inherent in many applications such as environmental surveillance and quantitative economics research. Considerable research efforts have been put into the field of analysing uncertain data. In this paper, we study the problem of processing the uncertain location based range aggregate in a multi-dimensional space. We first formally introduce the problem, then propose a

  • Uncertain Archives: 9780262539883 PenguinRandomHouse

    About Uncertain Archives. Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability. This pathbreaking work offers an interdisciplinary perspective on big data, interrogating key terms.

  • .NET Project On Efficient Computation of Range Aggregates

    Aug 16, 2018· Specifically, for a query point Q whose place is uncertain and a set S of points in a multidimensional area, we need to calculate the aggregate (e.g., count, average and sum) over the subset S’ of S such that for each p ϵ S’, Q has at least possibility θ within the distance γ to p.

  • .: EFFICIENT COMPUTATION OF RANGE AGGREGATES AGAINST

    Oct 03, 2011· In this paper, we study the problem of efficiently computing range aggregates in a multidimensional space when the query location is uncertain. Specifically, for a query point Q whose location is uncertain and a set S of points in a multi-dimensional space, we want to calculate the aggregate (e.g., count,average and sum ) over the subset S I

  • Plan Selection Long-Range Plans Permit Sonoma County

    The projected demand range for construction-grade aggregate for the same period is 52 to 118 MT. Using a moderate estimate of future demand, the Management Plan anticipates the following needed production from 1991 through 2010: Construction grade aggregates = 75 MT ; Given the uncertain nature of the market in the future, the potential for

  • Aggregate Equipment for Sale Alta Equipment Company

    Shop Used Equipment for Great Value. If you’re uncertain about investing in a new machine from Alta Equipment Company, we also offer a range of used aggregate equipment for sale, including used scrap processing equipment and used screening units. Every piece of used machinery we sell receives a multi-point inspection before we give it our stamp of approval.

  • Econ Test 3 T/F Flashcards Quizlet

    Start studying Econ Test 3 T/F. Learn vocabulary, terms, and more with flashcards, games, and other study tools.

  • MQM 227 Exam 2 Flashcards Quizlet

    c. Long-range forecasts are usually two or more years in the future. d. Inventory decisions that result in purchasing actions tend to be relatively short-range in nature and deal with specific products. e. Short-range forecasts are good for aggregate planning decisions, budgeting, and long-lead-time items.

  • A Hybrid Aggregate Index Method for Trajectory Data

    The aggregate query of moving objects on road network keeps being popular in the ITS research community. The existing methods often assume that the sampling frequency of the positioning devices like GPS or roadside radar is dense enough, making the result’s uncertainty negligible. However, such assumption is not always tenable, especially in the extreme occasions like wartime. Regarding

  • Uncertainty Visualization Influences how Humans Aggregate

    Home Conferences CHI Proceedings CHI '18 Uncertainty Visualization Influences how Humans Aggregate Discrepant Information. research-article . Free Access. Uncertainty Visualization Influences how Humans Aggregate Discrepant Information. Share on. Authors: Miriam Greis.

  • How the AD/AS model incorporates growth, unemployment, and

    Read and learn for free about the following article: How the AD/AS model incorporates growth, unemployment, and inflation

  • Coronavirus: analysts cut global growth forecasts as

    Mar 10, 2020· A range of banks and financial institutions have offered their worst-case scenarios for 2020, as the spread of the new coronavirus impacts the global economy and roils financial markets.

  • Range-Max Queries on Uncertain Data

    Range-Max Queries on Uncertain Data Pankaj K. Agarwaly Nirman Kumarz Stavros Sintosx Subhash Suri{ Abstract Let P be a set of n uncertain points in IRd, where each point pi 2P is associated with a real value vi and a probability ai 2(0,1] of existence, i.e., each pi exists with an independent probability ai.We present algorithms for building an index on P so that for a d-dimensional query

  • Range-max queries on uncertain data ScienceDirect

    In this stone we study the range-max query on uncertain data, which asks for statistics on the maximum value of the data inside a query range. Formally, we consider database records of the form ( p,v,α ),where p is a point in R d (attribute values of the record) with d ≥ 1 a constant, along with a positive scalar value v ∈ R + and a