This paper describes the construction of a new multiresolutional decomposition with applications to image compression. The proposed method designs sparsity-distortion-optimized orthonormal transforms applied in wavele...
详细信息
This paper describes the construction of a new multiresolutional decomposition with applications to image compression. The proposed method designs sparsity-distortion-optimized orthonormal transforms applied in wavelet domain to arrive at a multiresolutional representation which we term the Sparse Multiresolutional Transform (SMT). Our optimization operates over sub-bands of given orientation and exploits the inter-scale and intra-scale dependencies of wavelet co-efficients over image singularities. The resulting SMT is substantially sparser than the wavelet transform and leads to compaction that can be exploited by well-known coefficient coders. Our construction deviates from the literature, which mainly focuses on model-based methods, by offering a data-driven optimization of wavelet representations. Simulation experiments show that the proposed method consistently offers better performance compared to the original wavelet-representation and can reach up to 1dB improvements within state-of-the-art coefficient coders.
The proceedings contain 307 papers. The special focus in this conference is on building simulation and its related topics. The topics include: right sizing an off-grid solar house;self-calibration and optimal control ...
The proceedings contain 307 papers. The special focus in this conference is on building simulation and its related topics. The topics include: right sizing an off-grid solar house;self-calibration and optimal control of a double-skin system;emissions reductions in hotels in 2030;genetic optimization of external shading devices;current and likely future performance of advanced natural ventilation;high-performance and low-cost computing for indoor airflow;study on energy modeling methods of atrium buildings;performance evaluation of PV ventilated glazing;common exercises in whole building ham modelling;preconditions for the use of simulation in M&E engineering;a simple chiller model for hourly time step applications;simple, fully featured boiler loop modelling;numerical simulation of cold air jet attachment to non adiabatic walls;multiscale modelling of urban climate;UK building energy calculation software approval scheme;seasonal storage of solar energy in borehole heat exchangers;combined solar thermal and ground source heat pump system;modelling buoyancy induced flows of passive cooling systems;HVAC design informed by organizational simulation;the energy performance building and EPBD;on-line monitoring station for energy diagnosis in buildings;commissioning case study of a cooling ceiling system;advanced simulation applications using room;thermal performance of office buildings in Ghana;simulation of energy-efficient office buildings in Norway;thermal efficiency of the window shade;energy-efficient window for classroom in warm tropical area;application of specific models in a general simulation tool and solving differential equations in trnsys without programming.
In the present paper we consider the minimization of gradient tracking functionals defined on a compact and fixed subdomain of the domain of interest. The underlying state is assumed to satisfy a Poisson equation with...
详细信息
In the present paper we consider the minimization of gradient tracking functionals defined on a compact and fixed subdomain of the domain of interest. The underlying state is assumed to satisfy a Poisson equation with Dirichlet boundary conditions. We proof that, in contrast to the situation of gradient tracking on the whole domain, the shape Hessian is not strictly H-1/2-coercive at the optimal domain which implies ill-posedness of the shape problem under consideration. Shape functional and gradient require only knowledge of the Cauchy data of the state and its adjoint on the boundaries of the domain and the subdomain. These data can be computed by means of boundary integral equations when reformulating the underlying differential equations as transmission problems. Thanks to fast boundary element techniques, we derive an efficient algorithm to solve the problem under consideration.
In the present paper we consider the minimization of gradient tracking functionals defined on a compact and fixed subdomain of the domain of interest. The underlying state is assumed to satisfy a Poisson equation with...
详细信息
In the present paper we consider the minimization of gradient tracking functionals defined on a compact and fixed subdomain of the domain of interest. The underlying state is assumed to satisfy a Poisson equation with Dirichlet boundary conditions. We proof that, in contrast to the situation of gradient tracking on the whole domain, the shape Hessian is not strictly H-1/2-coercive at the optimal domain which implies ill-posedness of the shape problem under consideration. Shape functional and gradient require only knowledge of the Cauchy data of the state and its adjoint on the boundaries of the domain and the subdomain. These data can be computed by means of boundary integral equations when reformulating the underlying differential equations as transmission problems. Thanks to fast boundary element techniques, we derive an efficient algorithm to solve the problem under consideration.
A new nonparametric method to identify multivariable Hammerstein models is presented. The Hammerstein model is characterized by a combination of a linear dynamic subsystem and an algebraic nonlinear function. There co...
详细信息
A new nonparametric method to identify multivariable Hammerstein models is presented. The Hammerstein model is characterized by a combination of a linear dynamic subsystem and an algebraic nonlinear function. There could be many different models that give the same input-output realization. The purpose of this identification is to find out one among those models for controller design. This identification uses a sequence of specially designed test signals for excitation. The linear dynamic subsystem is identified as a finite sequence of impulse response (FIR), and the static nonlinearity is identified as a mufti-input-mufti-output (MIMO) functional mapping. By making use of this special test signal, the FIR sequence can be estimated under a single-input-single-output (SISO) framework. Moreover, the identification for linear subsystem can be decoupled from that for the nonlinear static part. This nonparametric model can be used for model predictive control applications.
Design for thermo-mechanical reliability of electronics components on the basis of parameterized Finite Element Models and DoE/RSM-approaches (Design of Experiments/Response Surface methods) are more and more performe...
详细信息
Design for thermo-mechanical reliability of electronics components on the basis of parameterized Finite Element Models and DoE/RSM-approaches (Design of Experiments/Response Surface methods) are more and more performed for optimizations at early phases of the product development process. This is especially the case for electronic components in the fields of RF (Radio Frequency), optoelectronics, high temperature, and power applications, which are often exposed to extreme thermal environmental conditions, mechanical shock and vibrations. Additionally, a continuous industry drive for miniaturization and function integration forces the development of feature sizes down to the nanometer range and the introduction of new high-tech, nano-particle filled or nano-porous materials. These developments cause new challenges for reliability analysis and prediction, i.e. the development of multiple failure criteria for combined loadings including residual stresses, interface delamination, cracking and fatigue of interconnects simultaneously. That's why, the authors face up to multiscale modeling approaches, damage and fracture mechanics approaches on the basis of continuum mechanics, and measurement techniques of material properties in the miniaturized range addressed. Evaluations of residual stresses, especially of thin films, resulting from several manufacturing steps are an important precondition for high-quality FEA-based RSM/DOE-simulations towards robust designs, too.
We investigate solution of the maximum cut problem using a polyhedral cut and price approach. The dual of the well-known SDP relaxation of maxcut is formulated as a semi-infinite linear programming problem, which is s...
详细信息
We investigate solution of the maximum cut problem using a polyhedral cut and price approach. The dual of the well-known SDP relaxation of maxcut is formulated as a semi-infinite linear programming problem, which is solved within an interior point cutting plane algorithm in a dual setting;this constitutes the pricing (column generation) phase of the algorithm. Cutting planes based on the polyhedral theory of the maxcut problem are then added to the primal problem in order to improve the SDP relaxation;this is the cutting phase of the algorithm. We provide computational results, and compare these results with a standard SDP cutting plane scheme.
The siting and sizing of electrical substations on a rectangular electrical grid can be formulated as an integer programming problem with a quadratic objective and linear constraints. We propose a novel approach that ...
详细信息
The siting and sizing of electrical substations on a rectangular electrical grid can be formulated as an integer programming problem with a quadratic objective and linear constraints. We propose a novel approach that is based on solving a sequence of local relaxations of the problem for a given number of substations. Two methods are discussed for determining a new location from the solution of the relaxed problem. Each leads to a sequence of strictly improving feasible integer solutions. The number of substations is then modified to seek a further reduction in cost. Lower bounds for the solution are also provided by solving a sequence of mixed-integer linear programs. Results are provided for a variety of uniform and Gaussian load distributions as well as some real examples from an electric utility. The results of GAMS/DICOPT, GAMS/SBB, GAMS/BARON and CPLEX applied to these problems are also reported. Our algorithm shows slow growth in computational effort with the number of integer variables.
We investigate solution of the maximum cut problem using a polyhedral cut and price approach. The dual of the well-known SDP relaxation of maxcut is formulated as a semi-infinite linear programming problem, which is s...
详细信息
We investigate solution of the maximum cut problem using a polyhedral cut and price approach. The dual of the well-known SDP relaxation of maxcut is formulated as a semi-infinite linear programming problem, which is solved within an interior point cutting plane algorithm in a dual setting;this constitutes the pricing (column generation) phase of the algorithm. Cutting planes based on the polyhedral theory of the maxcut problem are then added to the primal problem in order to improve the SDP relaxation;this is the cutting phase of the algorithm. We provide computational results, and compare these results with a standard SDP cutting plane scheme.
暂无评论