This paper proposes robust finite impulse response(FIR)filters for linear continuous-time state space models with bounded uncertainties.A set of all reachable current states under bounded uncertainties is determined f...
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This paper proposes robust finite impulse response(FIR)filters for linear continuous-time state space models with bounded uncertainties.A set of all reachable current states under bounded uncertainties is determined from inputs and outputs on a recent finite time *** some condition is met,this set is shown to be represented in an ellipsoidal *** derivation procedure is much simplified by utilizing the result on the optimal tracking control with an indefinite cost *** order to minimize the maximum estimation error due to uncertainties,the center of the reachable ellipsoidal set is chosen as an estimated *** is shown through simulation that the proposed robust FIR filter achieves a more robust performance than existing robust infinite impulse response(IIR)filters.
The industry is producing new wireless mobile devices, such as smart phones, at an ever increasing pace. In terms of processors and memory, these devices are as powerful as the PCs were one decade ago. Therefore, they...
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The industry is producing new wireless mobile devices, such as smart phones, at an ever increasing pace. In terms of processors and memory, these devices are as powerful as the PCs were one decade ago. Therefore, they are perfectly suitable to become the first real-life platforms for ubiquitous computing. For instance, they can be programmed to run location-aware applications that provide people with real-time information relevant to their current places. Deploying such applications in our daily life, however, requires a good understanding of their power requirements in order to ensure that mobile devices can indeed support them. This paper presents a quantitative analysis of power consumption for location-aware applications in our SmartCampus project, which builds a large scale test-bed for mobile social computing. Based on this analysis, we conclude that carefully designed applications can run for up to six hours, while updating the user location frequently enough to support real-time location-aware communication.
This paper initially shows ROHC and packet aggregation significantly improve the number of successful voice calls. However, the improvement does not include processor's processing overhead, which is identified by ...
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This paper initially shows ROHC and packet aggregation significantly improve the number of successful voice calls. However, the improvement does not include processor's processing overhead, which is identified by measuring ROHC processing time from Intel Pentium 4 and RouterBOARD, and applying the results into NS-2 simulations. Simulation results indicate the number of successful voice calls is seriously affected by the processing overhead. For the solution of the processing limitation, we propose a hardware model of the two algorithms and numerically analyze the model. Simulation results show the hardware model makes the number of successful voice calls approach the ideal (no-delay) case, and the numerical model exactly characterizes the hardware behaviors.
In this paper we discuss a computational framework which allows for accuracy controlled capacitance extraction in the entire package model consisting of 2.9 million elements on the conductor boundaries. The capacity f...
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In this paper we discuss a computational framework which allows for accuracy controlled capacitance extraction in the entire package model consisting of 2.9 million elements on the conductor boundaries. The capacity for simulation of large-scale interconnects is attained through parallel implementation of a tree-based hierarchical computational algorithm. The acceleration of dense matrix-vector product resulting from the Locally Corrected Nystrom (LCN) discretization of the governing integral equation is effected by means of the Barnes-Hut (BH) method. The kernel-independence of the latter provides for inclusion of the dielectric substrate into the computational model without increasing the model's size by means of creation of the pertinent Green's function databases for the substrate process.
In this paper, we propose a discrete-time receding horizon Kalman filter with the estimated initial state on the horizon. The proposed filter employs the conventional Kalman filter with the receding horizon strategy. ...
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In this paper, we propose a discrete-time receding horizon Kalman filter with the estimated initial state on the horizon. The proposed filter employs the conventional Kalman filter with the receding horizon strategy. The initial state on the horizon is estimated from a maximum likelihood criterion and then initiates the Kalman filter. It turns out that the proposed filter is independent of any a priori information on the state over the horizon while the previous filters assume that the stochastic information on the initial state at the starting time is available. The proposed filter is shown to have the same form as an optimal FIR filter, which leads to having the optimality and the unbiasedness.
This paper describes the design and implementation of a hybrid intelligent surveillance system that consists of an embedded system and a personal computer (PC)-based system. The embedded system performs some of the im...
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Infrastructure facilities in many countries have been repeatedly subjected to natural or human-induced disasters. International aid institutions, such as the United Nations Development Program (UNDP), United States ...
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Infrastructure facilities in many countries have been repeatedly subjected to natural or human-induced disasters. International aid institutions, such as the United Nations Development Program (UNDP), United States Aid International Development (USAID), Japan International Cooperation Agency (JICA) and the World Bank International Aid Development (IDA), are endeavoring to assist in the reconstruction of devastated countries. Development institutions normally face the problem of selecting and implementing relevant priority infrastructure projects that are needed in various sectors. Usually there are also several key local players in the decision making process. In many cases, these main decision makers have contradictory objectives that lead to conflict and thereby hamper the reconstruction process. In response to this kind of problem, an effective approach has been developed within the field of Multiple Criteria Decision Analysis (MCDA), the Analytical Hierarchy Process (AHP), that can assist decision makers in prioritizing projects to meet specified goals and objectives. Using the AHP approach, the problem of selecting infrastructure projects is dealt with systematically when applying this flexible MCDA technique. This approach takes into account possible uncertainties and social discrepancies, and can use the judgments of the decision makers themselves when there is a lack of technical or historical data. Decision makers from international financial aid institutions, donor agencies, governmental and the local community can utilize this proposed approach.
The industry is rapidly moving towards the adoption of Chip Multi-Processors (CMPs) of Simultaneous Multi-Threaded (SMT) cores for general purpose systems. The most prominent use of such processors, at least in the ne...
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In this paper, we develop an accurate analytical closed-form model for the frequency resonance and scattering characteristics of single nanoshells. Nanoshells, dielectric spheres that are coated with noble metal, poss...
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