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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...
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 objective of this work is to analyze and understand the operation of the elevators system, simulating and optimizing the traffic of individuals in elevators. Passive elements (queues) and active (processors/servers) are analyzed. A simulation methodology is developed for passive and active elements using the system methodology to discrete events. The heuristic method is used in an attempt to find...
The paper deals with the problem of minimizing reshuffling of containers in an inland intermodal terminal. The problem is tackled according to a simulation-optimization approach. A simulation model computes the operational costs of containers, related to storage and pick-up operations in an inland yard. The optimization is carried out by two genetic algorithms that work in series. The introduction...
The REliable CApacity Provisioning and enhanced remediation for distributed cloud applications (RECAP) project aims to advance cloud and edge computing technology, to develop mechanisms for reliable capacity provisioning, and to make application placement, infrastructure management, and capacity provisioning autonomous, predictable and optimized. This paper presents the RECAP vision for an integrated...
The evaluation of validities is a fundamental step in the design of the multimodel approach. Indeed, it is thanks to validities that we estimate the contribution of each base-model in the reproduction of the behavior of the global process in a given operating area. In this paper, we propose a new method of base-models' validities computation. This method is based on the optimization of a local criterion...
This paper presents a self-evolving scheme of an agent-based simulation to improve agent simulation models to fit real world data in an incremental way without human intervention by machine learning techniques. The proposed method can solve problems of traditional optimization methods of the agent-based simulation by the incremental optimization of agent simulation models. In this paper, we introduce...
The ant colony optimization (ACO) method has been extensively studied recently for solving many combinatorial optimization problems. In this paper, an ant colony optimization method for solving the vehicle routing problem with stochastic demands is presented. The 2-opt local search is employed within the ACO algorithm to improve the qualities of the solutions. Simulation technique is used for the...
Creating new software or software-intensive systems is still a challenge and far removed from a traditional engineering domain. The increasing size of software deployed in typical systems and the emergence of very large highly distributed systems necessitates additional techniques to assure the systems quality. Using the example of the German automatic toll system we briefly outline a simulation driven...
The analysis of scientific simulation data enables scientists to derive insights from their simulations. This analysis of the simulation output can be performed at the same execution site as the simulation using the same resources or can be done at a different site. The optimal output frequency is challenging to decide and is often chosen empirically. We propose a mathematical formulation for choosing...
This paper aims to present a methodology that helps improving systems modelling by using Process Integration and Design Optimization technologies. Then, the methodology has been applied on an automotive case study: the improvement of the hybrid vehicle TOYOTA PRIUS III modelling. This work has been carried out in the context of the international research program PLACIS (PLAteforme Collaborative d'Ingénierie...
In many practical industrial and military applications, systems are always requested to execute a sequence of missions. Some maintenance activities will be conducted during the mission break between two sequential missions. However, a general case is that only part of maintenance activities can be performed because of the limited resources. In this paper, a simulation approach based on Monte Carlo...
Fingerprint positioning is considered to be one of the most promising indoor positioning technique. The most significant technological bottleneck of fingerprint positioning technology is the high labor cost of the radio map establishing process. Many radio map fast establishing algorithms were proposed to solve this problem. There is no evaluation norm for these algorithms but positioning accuracy,...
The explosion of Internet traffic mainly due to multimedia services is bringing real challenges to Internet Service Providers (ISPs). Content Delivery Networks (CDN) aim to face this traffic growth by replicating content as close as possible to end-users. Nevertheless, several issues related to the localization of CDN nodes are involved in the CDN design. The goal of the CDN optimization is to increase...
In this work an algorithm for the optimization of signal setting on urban network is proposed. Signal setting are designed based on a given flow in the network. However, the flow in the network is also influenced by the route choice decisions. This paper deals with traffic signal setting with demand assignment. All approaches proposed in literature to address this problem are based on equilibrium...
The use of nonlinear model such as Hammerstein model in MPC will lead necessarily to a nonlinear cost function and so that a nonconvex one. Consequently, the use of a convenient optimization method to solve the resulting nonconvex problem is required. The use of the based gradient method (BGM) requires a higher computation time. Therefore the use of this type of algorithms can't be applied for system...
Renovation works introduce numerous complexities that can only be addressed by those who excel in this specific design task. Such issues as energy consumption, which requires examination of excessive alternatives, is not of primary concern through the design process due further time limitations. However, computational intelligence methods prove to be valuable decision support tools. To this end, the...
With the fast development of wireless technologies, Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure due to their low cost and increased high speed wireless Internet connectivity. In our previous work, we implemented a simulation system based on Particle Swam Optimization for solving node placement problem in wireless mesh networks, called WMN-PSO. In this paper, we...
Increasing power density of high-switching frequency power modules presents a heat transfer challenge that left unaddressed can cause module failure. The first step in addressing this challenge is to estimate the maximum temperature that is observed in the module. PowerSynth, a multi-chip power module layout synthesis tool, utilizes a fast thermal model to quickly determine the steady-state maximum...
This paper focuses on the optimization of freight trains operation for energy saving purposes, highlighting the future challenges and the current possibilities. A simulation-based approach for the generation of energy saving speed profiles, implemented in Matlab, is here adopted with real data from onboard monitoring system. Results have highlighted two interesting aspects: onboard monitoring data...
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