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Saving energy in Wireless Sensor Networks is essential to extend the lifetime of in-field deployments. Previous research has shown that communication is generally the most energy consuming task and needs to be reduced in order to build resource-efficient long-term applications. The communication demand for retrieving query results from deep within the sensor network is typically high. As a result,...
In this paper, a study of the behavior of wireless mesh networks is proposed, by considering energy consumption and reliability of the network. The real consumption with different network topologies and different data profiles will be analized. The objective of this work is to establish the framework to carry out energy optimizations in order to reduce the energy consumption without losing the reliability...
In this paper, a new approach for the geometric refinement of road networks using network snakes and SAR images is presented. Network snakes are based on the well-known active contour models, but in addition to the image energy and internal energy the topology is introduced into the optimization process. This graph-based active contour method enables a complete topological and shape control during...
Reservoir Computing is a new paradigm in artificial recurrent neural network training. A reservoir is generated randomly and only a readout layer is training. Its simplicity and ease of use, paired with its underlying computational power make it an ideal choice for many application domains, for example time-series prediction, speech recognition, noise modeling, dynamic pattern classification, reinforcement...
Network optimization design in industrial network can be defined as a multi-constraint optimization problem. To solve this optimization problem, 0-1 programming strategy is proposed to model the problem. The model is then solved using NEOS server, a common optimization solver available over the Internet. The network designs obtained by 0-1 programming strategy are compared with those obtained by graph...
Based on thermo-elastic finite element theory, the equivalent nodal thermal load is analyzed, and thermal load of each node load as a physical force is applied to the elastic field. The model of structural topology optimization of continuum structure considering thermo-mechanical coupling is established using the minimum strain energy as the goal. The solid isotropic material with penalization approach...
Wireless sensor networks (WSNs) often operate in severe surroundings and may suffer simultaneous failure of multiple nodes which gets the network partitioned into distinct segments. Restoring connectivity among these segments is crucial in order to prevent the negative effects on the application. This paper investigates effective approaches for recovering from the failure for scenarios where the distance...
The FEA model was built and modal analysis was executed for the loader hood structure. The mathematical model of topology optimization on continuum structures was established based on the solid isotropic material with penalization (SIMP) theory. A new layout of the ribs of loader hood was gotten through topology optimization using OptiStruct software. The results show that the improved design of the...
Large plastic container may induce large deformation of its body when it fills a great deal of substances. In order to make the deformation reduced, more thick of the plastic container wall may be used, but it will make the container heavier. Another way to make the deformation reduced efficiently is to construct some ribs around the container body surface, but where to put the ribs is hard to design...
During the design of the large die casting machine, the topology optimization is introduced. Combined with the factual engineering application, the interpolation function of solid isotropic microstructures with penalization (SIMP) is constructed in the density method and the optimization criteria algorithm is deduced for the numerical solution of topology optimization. In virtue of the Hyperworks...
In order to realize miniaturization and light weight of the strap-down inertial navigation system, and then to make sure that it works well under random loads, optimal design is applied to the strap-down inertial navigation support with the methods of topology optimization and size optimization. Firstly, based on the installation requirement of devices and connection requirement of the support and...
In this paper, we will study a special Connected Dominating Set (CDS) problem - between any two nodes in a network, there exists at least one shortest path, all of whose intermediate nodes should be included in a special CDS, named Minimum rOuting Cost CDS (MOC-CDS). Therefore, routing by MOC-CDS can guarantee that each routing path between any pair of nodes is also the shortest path in the network...
Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the standard approach, a boundary detector is trained by minimizing its pixel-level disagreement with human boundary tracings. This naive metric is problematic because it is overly sensitive to boundary locations. This problem is solved by metrics provided with the Berkeley Segmentation...
Take support structure as the object, studied the multi-objective optimization of optimization layout of structural materials and maximize natural frequency under multiple load cases. Based on the SIMP (solid isotropic material with penalization) method, compromise programming method was adopted to define objectives of multi-objective topology optimization. With the supporting structure for the study,...
In order to obtain a lightweight and high-stiffness main supporting structure of Space Remote Sensor, Main supporting structure of Space Remote Sensor with TMA optical systems were studied by way of Finite Element Method (FEM).The stiffness of the supporting structure was validated with normal modes analysis. In order to improve its fundamental frequency (the first order natural frequency), a topologic...
Optimal cross-section design of beams plays a distinctive role which involve the rigidity of the member in bending, shear and torsion load conditions. Practically modern overhead crane girders, railway bridge girders or rail tracks etc. require constant cross-section along the axial direction as the load location changes all the time. Conventional topological optimization modeling procedures in such...
The crane performance depends largely on its box girder structure. The problem of structure topology optimization for a box girder is investigated in this study. Firstly, a comprehensive analysis to box girder is given and a topology optimization model for the bridge crane girder structure is established. Secondly, based on the optimization model, the box girder is optimized with finite element software...
In this paper, we use matrix games framework for joint optimization of routing and network coding under conflict free scheduling for multi-source wireless ad-hoc networks. The impact of multicast diversity on scheduling is controlled by using topology compression concept quantified through compressed multicast topology matrix. To define topology matrix, first a set of all possible paths, including...
Differential evolution (DE) is a heuristic optimization method used to solve many optimization problems in real-valued search space. It has the advantage of incorporating a relatively simple and efficient form of mutation and crossover. However, the operator of DE is primarily based on floating-point representation only and is difficult to apply to binary-based optimization problems. In this paper,...
The frontal rail structure, which profoundly affect automotive frontal crashworthiness, must have an adjust deformation behavior and excellent energy absorbing ability. This work aims to explore the proper material distribution to improve its bending mode to axial crush mode. Since the nonlinear finite element analysis to obtain sensitivities is high computational complexity, the strain-energy-density...
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