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This paper presents the design and the optimization of interstitial microcoaxial applicator antenna for microwave ablation treatment (MWA) of breast cancer. MWA is proposed as a treatment for breast cancer in initial or intermediate stages and involves the application of an electromagnetic field that generates a temperature increase in the cancerous tissue. A model and the validation of microwave...
This paper is about the impact of modeling the temperature distribution of machine designs on the results for respective optimization scenarios. In the past, a lot of machine design optimizations were presented, but just a small share considers modeling of the temperature characteristics. In order to study the impact of including a temperature model, a test scenario was investigated that features...
During preliminary design sketch phases, the power electronics designer has to propose optimal solutions complying with system level requirements, which are continuously evolving since the global system is not finalized. It is particularly complicated in the cases of wide operating ranges where the optimal design for the most constrained operating point does not necessarily provides the optimal design...
In this paper, we jointly consider communication, caching and computation in a multi-user cache-assisted mobile edge computing (MEC) system, consisting of one base station (BS) of caching and computing capabilities and multiple users with computation-intensive and latency-sensitive applications. We propose a joint caching and offloading mechanism which involves task uploading and executing for tasks...
Neural network based deep learning algorithm is a study hotspot in artificial intelligence. Moreover, embedded artificial intelligence and mobile computing are becoming more and more important in industry. For these applications, not only high performance computing is required, but also low power consumption restriction cannot be ignored. DSP has special hardware architecture with characteristics...
This paper addresses the issue of control parameter uncertainties in total transfer capability (TTC) calculation for meshed transmission grids with VSC-HVDC. A new concept of TTC embodying control parameter uncertainties (TTCU) is first proposed. And then the calculation model of TTCU for meshed transmission grids with VSC-HVDC and its solving approach are further presented. Simulations are carried...
Mobile edge computing (MEC) has recently emerged as an important paradigm to bring computation and cache resources to the edge of core networks. However, the resources of edge network are relatively limited, so it is necessary to cooperate with data center (DC) which has sufficient computational resources. In this paper, we aim at designing a computation offloading and data caching model under the...
We propose a novel framework for reconstructing lightweight polygonal surfaces from point clouds. Unlike traditional methods that focus on either extracting good geometric primitives or obtaining proper arrangements of primitives, the emphasis of this work lies in intersecting the primitives (planes only) and seeking for an appropriate combination of them to obtain a manifold polygonal surface model...
A convex-optimization approach to H2/H∞ Model-order Reduction (MoR) of continuous-time Linear Time-Invariant (LTI) systems is presented. The new numerical algorithm provides more information about the performance of the reduced-order model and generalizes the previous designs based upon H2 and H∞ norm minimization. Connection between the optimal projection methods and the proposed H2/H∞ algorithm...
Exponential increase and global access to read/write memory states in quantum computing simulation limit both the number of qubits and quantum transformations that can be currently simulated. Although quantum computing simulation is parallel by nature, spatial and temporal complexity are major performance hazards, making this an important application for HPC. A new methodology employing reduction...
The design and deployment of networked embedded systems is challenging. In particular, the environment in which the system operates has a severe impact on the final performance. Existing tools trade generality for specificity with arbitrary setups, e.g., in simulation, or specific configurations, e.g., in public testbeds. As a result, the peculiar effect of the target deployment scenario on the system...
Traffic engineering at network edges is challenging given the latency-sensitive nature of all applications that need to be supported. End-to-end delay estimation and forecasts were essential traffic engineering tools even before the mobile edge computing paradigm pushed the cloud closer to the end user. In this paper, we model the path selection problem for edge traffic engineering using a risk minimization...
Recently, computation offloading has become one of the common and efficient ways to minimize the energy expenditure. Considering the aspects of mobile-cloud communication, energy optimization is from the necessities of this offloading. Moreover, the variable and mobile states of mobile devices environments have a significance on this communication. In this article, we are going to suggest an adaptable...
Large scale distributed simulation should be well planned before the execution, since applying unnecessary hardware only wastes our time and money. On the other side, we need enough hardware to achieve an acceptable performance. Thus, it is considerable to estimate the performance of a large scale distributed simulation before the execution. Such an estimation also improves the efficiency of the applied...
Simulations, and in particular large scale parameter studies, typically exhibit a considerable amount of redundancies. These redundancies can be avoided by memoization, a technique that stores and re-uses intermediate results. This requires a Memoization Unit (MU) to be identified first and then transformed. We have recently enabled the automation of the second step to also be applicable to impure...
R-λ rate control scheme is recommended in the High Efficiency Video Coding (HEVC) standard, which shows high accuracy of bit rate control but lower rate distortion performance. In order to minimize the distortion subject to a target bit rate, a λ domain frame-level rate control scheme for low delay coding of HEVC was proposed. Firstly, an improved parameter updating method is presented for the frame...
The estimation of the domain of attraction of a class of susceptible-infectious-removed-susceptible immigration is investigated. On assumption the disease-free equilibrium and the endemic equilibrium existences, hence a Lyapunov function too, the domain of attraction of the epidemic model is estimated by means of LF-LMI-moment and SOS optimization approaches. An invariant subset of the domain of attraction,...
With the ever-growing popularization of Real Time Bidding (RTB) advertising, the Ad Exchange (AdX) platform has long enjoyed a dominant position in the RTB ecosystem due to its unique role in bridging publishers and advertisers in the supply and demand sides, respectively. A novel technology called header bidding emerged in the recent one or two years, however, is widely believed to have the potential...
Intermodal road-rail transportation Systems (IRRTS) is a typical complex giant system which is dilïîcult for traditional management approaches to form effective solutions with dynamic adaptability. In the physical world, simple equipment upgrading and transport optimization can't satisfy the demand of IRRTS for high efficiency and low cost. Thus, a framework of parallel IRRTS based on ACP approach...
A key challenge in software systems that are exposed to runtime variabilities, such as workload fluctuations and service degradation, is to continuously meet performance requirements. In this paper we present an approach that allows performance self-adaptation using a system model based on queuing networks (QNs), a well-assessed formalism for software performance engineering. Software engineers can...
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