Dynamic Power Management or DPM refers to the problem of judicious application of various low power techniques based on runtime conditions in an embedded system to minimize the total energy consumption. To be effectiv...
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Dynamic Power Management or DPM refers to the problem of judicious application of various low power techniques based on runtime conditions in an embedded system to minimize the total energy consumption. To be effective, often such decisions take into account the operating conditions and the system-level design goals. DPM has been a subject of intense research in the past decade driven by the need for low power in modern embedded devices. We present an overview of the formal methods that have been explored in solving the system-level DPM problem. We show how formal reasoning frameworks can potentially unify apparently disparate DPM techniques.
Compact electrical heating and heat dissipating units are designed for several industrial applications where durability and stability of the unit under dynamic conditions have high priority. This paper initially inves...
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ISBN:
(纸本)0791836932
Compact electrical heating and heat dissipating units are designed for several industrial applications where durability and stability of the unit under dynamic conditions have high priority. This paper initially investigates numerically the thermal characteristics of a custom build compact heater plate which can provide a geometrically optimized electrical resistance in application to heating or eliminating unwanted currents. The electrical resistance varies with the geometry and the locations of the cutouts (holes) in the plate. This analysis will significantly contribute to overall optimization of heating units that utilize these plates. The flow and thermal regimes between two adjacent ribbed plates with cutout holes were evaluated numerically by a finite difference code. This results in estimated local heat transfer coefficients which are used in the next phase of study. The second phase relates the heat transport to the temperature distribution on the plate by using a 3D finite element model. In the F.E. model, heat is generated due to non-uniform current through properly divided plate segments. Using this model the electrical resistance was evaluated as a function of hole geometry. Finally the geometry and location of ribs and holes were determined using a simple optimization technique in order to render the uniformity of surface temperature as desired for prevention of warping or excessive stresses.
This paper describes our cross-disciplinary collaboration to design and implement educational materials in the domain of biotechnology. We designed our course activities to follow a challenged-based model of learning ...
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This paper describes our cross-disciplinary collaboration to design and implement educational materials in the domain of biotechnology. We designed our course activities to follow a challenged-based model of learning and constructed our learning environment to align with current theories of how people learn. The nature of our work was cross-disciplinary since it involved applying educational principles to a complex engineering domain. In this sense engineering faculty worked closely with education faculty to create enhanced learning materials for biomedical engineering education. We describe the process we followed to develop these materials and highlight several components that led to the success of our collaborative effort. In addition we describe our course materials, the reformed learning environment, and present student feedback from the initial implementation.
In a Distributed Computing Systems (DCS) tasks may consist of multiple modules. Tasks submitted to a DCS, are usually partitioned into different modules and the modules may be allocated to different processing nodes s...
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In a Distributed Computing Systems (DCS) tasks may consist of multiple modules. Tasks submitted to a DCS, are usually partitioned into different modules and the modules may be allocated to different processing nodes so as to achieve minimum turn around time of the tasks utilizing the maximum resources of the existing system such as CPU speed, memory capacities etc. The problem lies on how to obtain the optimal allocation of these multiple tasks by keeping in mind that no processing node is overloaded due to this allocation. This paper proposes an algorithm A*RS using well-known A* which aims to reduce the search space and time for allocating the tasks by minimizing the turn around time of tasks in the way so that processing nodes do not become overloaded due to this allocation. Our experimental results justify the claims with necessary supports by comparing it with the earlier algorithm for multiple tasks allocation.
We present a novel receding horizon control strategy for constrained linear systems, based on a suboptimal solution to the fixed horizon optimization problem considered in Model Predictive Control (MPC). The proposed ...
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We present a novel receding horizon control strategy for constrained linear systems, based on a suboptimal solution to the fixed horizon optimization problem considered in Model Predictive Control (MPC). The proposed strategy relies on a basis function expansion of the unconstrained optimal solution in terms of the singular vectors of the Hessian of the performance index. At each sampling time, the strategy ensures that the constraints are not violated by considering a variable subset of the basis representation. For cases in which the Hessian is ill-conditioned, the proposed strategy delivers a feasible solution without excessively compromising performance. We also show that the singular values of the Hessian are related to the frequency response of the plant.
In this work, we suggest representing multiagent systems using computational models, choosing, specifically, Multi-Prover Interactive Protocols to represent agent systems and the interactions occurring within them. Th...
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In this work, we suggest representing multiagent systems using computational models, choosing, specifically, Multi-Prover Interactive Protocols to represent agent systems and the interactions occurring within them. This approach enables us to analyze complexity issues related to multiagent systems. We focus here on the complexity of coordination and study the possible sources of this complexity. We show that there are complexity bounds that cannot be lowered even when approximation techniques are applied.
This paper investigates the design and application of data magnitude modulation to reduce power amplifier back-off for QPSK and OQPSK modulations for small satellite Earth stations. The coefficients for data magnitude...
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This paper investigates the design and application of data magnitude modulation to reduce power amplifier back-off for QPSK and OQPSK modulations for small satellite Earth stations. The coefficients for data magnitude modulation are obtained by using an iterative design loop. The parameters of this loop are tuned to obtain maximum gain. Roll-off factors from 10% to 100% are considered, with emphasis on small roll-off values for increased bandwidth efficiency. It is shown that a gain of almost 6dB can ideally be obtained for a roll-off factor of 10%. Error correction coding is used to compensate for the increased sensitivity to noise of the magnitude modulated data. The loss due to this increased sensitivity is reduced from almost 5.5dB to 1.2dB for a roll-off factor of 10% by using high rate product codes, thus giving an overall gain of 4.8dB. Trade offs between spectral regrowth and implementation are addressed.
The current paper proposes an improved reproduction algorithm that can produce a realistic image of a real scene based on the spectral distribution of light and objects, as perceived by human eyes. First, a backward r...
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The current paper proposes an improved reproduction algorithm that can produce a realistic image of a real scene based on the spectral distribution of light and objects, as perceived by human eyes. First, a backward ray tracing method is used where the spectral distribution of objects and illuminants is used to represent the physical characteristics in the real world. Next, an improved shading model is proposed based on applying Bouguer-Beer's law to consider the optical absorptive property of transparent objects. Finally, instead of a constant ambient light term, a new ambient light term is defined that considers the diffuse reflection of neighboring objects.
Suppose that an intelligent agent accepts as input a complete plan, i.e., a sequence of states (or operators) that should be followed in order to achieve a goal. For some reason, the given plan cannot be followed by t...
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Suppose that an intelligent agent accepts as input a complete plan, i.e., a sequence of states (or operators) that should be followed in order to achieve a goal. For some reason, the given plan cannot be followed by the agent, and thus an alternative plan needs to be found - but we would like the alternative plan to be as close as possible to the original. To achieve this, we define a number of distance metrics between paths or plans, and characterize these functions and their respective attributes and advantages. We then develop a general algorithm based on best-first search that helps an agent find the most suitable alternative plan efficiently, and propose a number of heuristics for the cost function of this best-first search algorithm. We then experimentally show that our algorithm is efficient in finding an alternative plan.
Osteotomy procedures around the knee joint, with the view to relieving the pain associated with chronic osteoarthritis or correcting a lower limb deformity, involve the cutting, realignment and subsequent stabilisatio...
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ISBN:
(纸本)1860584209
Osteotomy procedures around the knee joint, with the view to relieving the pain associated with chronic osteoarthritis or correcting a lower limb deformity, involve the cutting, realignment and subsequent stabilisation of either the tibia or the femur. Typically, such procedures involve the removal of a wedge-shaped piece of bone, followed by closure and internal fixation of the osteotomy site. Unfortunately, the subjective nature of the preoperative planning and free-hand surgical techniques currently employed can lead to significant outcome variability and high complication rates. A prototype computer-robotic system, has been developed. It is intended to perform complex bone cuts (sawing) under surgeon supervision. It consists of a custom-built "fail-safe" six degree-of-freedom surgical robot, with an instrumented saw driver unit, and a computer based planning system.
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