The main knowledge management challenges are to capture, store and reuse contextual knowledge generated during interactions that occur daily in an organization. In this paper, we propose an activity context-aware arch...
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The main knowledge management challenges are to capture, store and reuse contextual knowledge generated during interactions that occur daily in an organization. In this paper, we propose an activity context-aware architecture to support knowledge management in working processes. The required features for this architecture are processing, reasoning and sharing contextual knowledge involving information about activities performed. We also present results from evaluation of our proposal — A-CoBrA — for a specific domain.
Changing technology and increased constituent demand for government services derive the need for governmental responsiveness. The government organisations in the developing countries will be under increased pressure t...
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Changing technology and increased constituent demand for government services derive the need for governmental responsiveness. The government organisations in the developing countries will be under increased pressure to change their bureaucratic systems to be able to respond rapidly to changing and increasing requirements and rapid technology advancements. This paper aims to present a conceptual framework for explaining the main barriers and drivers of public E-service development. Therefore, the framework provides a basic context within which the process and practice of E-Service can be implemented successfully in the public sector organisations. The framework is flexible enough to be adopted by governments at different levels;national or local by developing countries around the world.
This paper discusses a problem concerning intertemporal decision-making under uncertainty when its subject has psychological biases. Here, we consider an investment company as a decision maker that invests money from ...
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In a previous ARFTG paper, we presented the measurement of the thermally-induced transient drain voltage response of a power Si MOSFET to a step excitation in gate voltage. The data was fit by assuming the drain volta...
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To improve the responsiveness of engine speed control to disturbances, robust controls were investigated by simulation. The intake air control system of a gasoline engine is a typical nonlinear system, and the disturb...
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To improve the responsiveness of engine speed control to disturbances, robust controls were investigated by simulation. The intake air control system of a gasoline engine is a typical nonlinear system, and the disturbances and parameter perturbations are generally regarded as being the unstable factors with regard to engine control. In this paper, a Mean-Value Engine Model (MVEM) with disturbances and parameter perturbations is investigated using Sliding Mode Control (SMC), which is a form of variable structure control, with a view to address instability in the idle speed control process. The simulation results confirmed that, compared with a conventional PI (Proportional-Integral) controller, the stability of the idle speed for an engine that is being subjected to disturbances, parameter variations and background noise is greatly improved by the application of SMC.
A pulsed simulation approach is demonstrated for prediction of duty-cycle dependent thermal effects in transistors. Also a novel method is shown for fitting and/or validating electro-thermal models using pulsed IV mea...
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ISBN:
(纸本)9781424457137
A pulsed simulation approach is demonstrated for prediction of duty-cycle dependent thermal effects in transistors. Also a novel method is shown for fitting and/or validating electro-thermal models using pulsed IV measurements and pulsed IV simulations. A commercial LDMOS device is used to demonstrate the new methods. After extracting the thermal time constant, good agreement is achieved between measured and simulated pulsed IV results under a wide range of different pulse conditions including DC, very short (
Vertical take off and landing aircrafts have been the subject of research for many years. The Boeing CV-22 Osprey is one such aircraft. Takeoff and landing phases of these aircrafts create very challenging control pro...
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Vertical take off and landing aircrafts have been the subject of research for many years. The Boeing CV-22 Osprey is one such aircraft. Takeoff and landing phases of these aircrafts create very challenging control problems. Having two massive engines at the wingtips of the airplane creates an inherently unstable system. Added to this challenge is an inherent delay in pilot demand for engine thrust changes. In this paper we will present an intelligent fuzzy supervisory agent that monitors and modifies the gain scheduled controllers at high roll angles. This fuzzy agent modifies the thrust level and the controller parameters. To model the roll axis behavior of such aerial vehicles two electric motors with propellers are mounted at the end of a beam with an almost frictionless pivoting point at the center. A classical Gain scheduled PID controller is used as the primary controller for this system.
In a previous ARFTG paper, we presented the measurement of the thermally-induced transient drain voltage response of a power Si MOSFET to a step excitation in gate voltage. The data was fit by assuming the drain volta...
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In a previous ARFTG paper, we presented the measurement of the thermally-induced transient drain voltage response of a power Si MOSFET to a step excitation in gate voltage. The data was fit by assuming the drain voltage takes an exponential shape. This relies on the assumption that the drain current is a step function, which is actually only approximate due to the dependence of the drain current on temperature. In this work, we show that the exponential approximation actually possesses the same asymptotic behavior of a more accurate, model-based solution we have obtained that incorporates thermal feedback. We show that the more theoretically accurate solution and exponential approximation of the solution both provide excellent fits to measured data for the Si MOSFET.
A study conducted by the Carnegie Mellon University Software engineering Institute CERT program analyzed hundreds of insider cyber crimes across U.S. critical infrastructure sectors. Follow-up work involved detailed g...
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A study conducted by the Carnegie Mellon University Software engineering Institute CERT program analyzed hundreds of insider cyber crimes across U.S. critical infrastructure sectors. Follow-up work involved detailed group modeling and analysis of 35 cases of insider theft of intellectual property. In the context of this paper, insider theft of intellectual property for business advantage includes incidents in which the insider's primary goal is stealing confidential or proprietary information from the organization with the intent to use it to take to a new job, to get a new job, or to start a business. It does not include cases of in which insiders sell an organization's information. This paper describes general observations about, and a system dynamics model of, this class of insider crime based on our empirical data. This work generates empirically-based hypotheses for validation and a basis for identifying mititgative measures in future work.
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