Establishing an effective and secure operating and logistics base under austere conditions, either at home or abroad, regardless of whether the origin of the crisis is military or strictly humanitarian in nature, is a...
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ISBN:
(纸本)9781604237146
Establishing an effective and secure operating and logistics base under austere conditions, either at home or abroad, regardless of whether the origin of the crisis is military or strictly humanitarian in nature, is a complex mission. Unfortunately, the doctrine supporting the life-cycle management of base camp facilities is poorly codified and usually unstructured due to the disparate nature of the governmental organizations tasked with accomplishing these missions. In order to overcome this problem, the Department of systemsengineering at the United States Military Academy (USMA) at West Point has developed functional and non-functional requirements for, and has partially implemented a commercial-offthe- shelf (COTS) knowledge management (KM) system that facilitates the sharing of this type of specialized information for military and civilian members of the "Base Camp Community of Practice (CoP)".
A common notion underscoring popular beliefs of organizational growth in the digital future involves transforming processes to sustain or improve operations. Although a plethora of measures and metrics abound, digital...
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To improve production processes, manufacturing companies have made efforts to implement Industry 4.0 technologies and spread the use of Lean Manufacturing (LM) tools. Besides, in addition to the improvements in produc...
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The performance of a control system depends on its design and implementation. Embedded controllers are the controllers designed on compact embedded systems. Embedded controllers are gaining popularity in industrial ap...
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During emergencies like COVID-19, maintaining educational quality involves integrating non-specialized online. Therefore, a framework is proposed to improve the authenticity and traceability in the assignation of grad...
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In a world where the information is obtained faster than ever seem, new methods to process that high volume of data are being developed frequently. This is more notorious in a virtual ambient where the data is generat...
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Sentiment analysis and emotion classification are two crucial components of natural language processing (NLP), which have been widely explored in recent years due to their broad applications. Sentiment analysis aims t...
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作者:
SHOVAL, PInformation Systems Program
Department of Industrial Engineering and Management Ben-Gurion University P.O. Box 653 Beer-Sheva 84105 Israel
A methodology that combines and integrates the major stages of information systems development is presented. The methodology is based on hierarchical data-flow diagrams which are used to perform a functional analysis ...
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A methodology that combines and integrates the major stages of information systems development is presented. The methodology is based on hierarchical data-flow diagrams which are used to perform a functional analysis of the system. This enables the conducting of process design on the one hand, and information structure analysis and database schema design on the other. Specifically, we describe a method that connects the transactions of the system (the product of the process design stage) with the record-types (the product of database design stage). This connection closes the gap between the "procedural" and "structural" aspects of the system, and enables a smooth transition to the stage of system construction. It also facilitates the designing of sub-systems and their sub-schemas. Software tools that support all stages of the methodology are reviewed, emphasizing the tool DS2DS that connects the transactions with the record-types.
One of the important tasks in sensor design is the development of a model for a sensing phenomena. Artificial neural networks are ideal for such a task because of their capability for representation of the mapping fun...
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Constrained MUSIC and beamspace MUSIC are similar algorithms in that they both require a priori information about signal directions and they both involve linear transformations on the data. Constrained MUSIC uses prec...
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Constrained MUSIC and beamspace MUSIC are similar algorithms in that they both require a priori information about signal directions and they both involve linear transformations on the data. Constrained MUSIC uses precise information regarding the directions of a subset of the signal directions to improve the direction estimates for the remaining signals. Beamspace MUSIC uses approximate knowledge regarding all the signal directions to reduce computational complexity and improve breakdown properties. These two methods can be combined, resulting in constrained beamspace MUSIC. We also perform asymptotic analysis of constrained and unconstrained MUSIC demonstrating that (asymptotically) improved subspace estimates always result from the use of constraints, and (asymptotically) the variance of constrained MUSIC is less than that of unconstrained MUSIC under either high coherence, large numbers of sensors, or high SNR conditions. As a part of this analysis, we study the effects of coherence on MUSIC and derive best/worst case coherences in terms of the variance of MUSIC. We also demonstrate that those conditions where the variance of MUSIC is predicted to be less than that of constrained MUSIC generally correspond to conditions where MUSIC is in breakdown (and constrained MUSIC is not). So, unconstrained MUSIC actually does not achieve its theoretically predicted advantage in those cases. While constrained MUSIC requires precise information about the known signal to improve performance when the unknown signal is very near, it can also offer performance advantages with only approximate knowledge if the unknown and known signals are not too close to each other.
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