Minimum-distance controlled tabular adjustment methods (CTA), and its restricted variants (RCTA), is a recent perturbative approach for tabular data protection. Given a table to be protected, the purpose of RCTA is to...
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ISBN:
(纸本)9783642158377
Minimum-distance controlled tabular adjustment methods (CTA), and its restricted variants (RCTA), is a recent perturbative approach for tabular data protection. Given a table to be protected, the purpose of RCTA is to find the closest table that guarantees protection levels for the sensitive cells. This is achieved by adding slight adjustments to the remaining cells, possibly excluding a subset of them (usually, the total cells) which preserve their original values. If either protection levels are large, or the bounds for cell deviations are tight, or too many cell values have to be preserved, the resulting mixedintegerlinear problem may be reported as infeasible. This work describes a tool developed for analyzing infeasible instances. The tool is based on a general elastic programming approach, which considers an artificial problem obtained by relaxing constraints and bounds through the addition of extra elastic variables. The tool allows selecting the subset of constraints and bounds to be relaxed, such that an elastic filter method can be applied for isolating a subset of infeasible table relations, protection levels, and cell bounds. Some computational experiments are reported using real-world instances.
Partitioning parameterized polygons is an essential process in a proposed layout-aware analog integrated circuit design flow. To deal with constraints associated with parameterized polygons, constraint programming (CP...
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ISBN:
(纸本)9781424468904
Partitioning parameterized polygons is an essential process in a proposed layout-aware analog integrated circuit design flow. To deal with constraints associated with parameterized polygons, constraint programming (CP) technologies have been used in a previous partitioning algorithm. Although CP solvers are capable of coping with complex constraints, CP-based partitioning processes can be very time-consuming. In this paper, we propose the use of mixed integer linear programming (MILP) solvers in the partitioning of parameterized 45-degree polygons. Experimental results show that more than 150X speedup can be achieved for partitioning parameterized polygons containing very complex constraints.
As virtualization becomes more and more popular, how to guarantee survivability of a virtual infrastructure (VI) over a wide-area optical network is increasingly important. In this paper, we approach the problem of su...
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ISBN:
(纸本)9781424456383
As virtualization becomes more and more popular, how to guarantee survivability of a virtual infrastructure (VI) over a wide-area optical network is increasingly important. In this paper, we approach the problem of survivable VI mapping (SVIM) from a few unique perspectives. One of the most distinguishing perspectives is that a large-scale regional failure could destroy one or more facility nodes to which some VI nodes are mapped. Accordingly, redundant facility nodes at different geographical locations and redundant optical connections have to be provisioned such that the VI can still be mapped after the failure. Another distinguishing perspective is that with failure-dependent protection, the SVIM problem can be decomposed into several instances of the basic non-survivable VI mapping (NSVIM) problem, whose solution permits effective sharing of the redundant resources among all failures. In this paper, we first formulate the minimum-cost SVIM problem using mixed integer linear programming (MILP). We then propose an efficient heuristic solution to NSVIM, based on which two novel heuristic SVIM algorithms called Separate Optimization with Unconstrained Mapping (SOUM) and Incremental Optimization with Constrained Mapping (IOCM). Simulations are performed to study and compare the performance of the MILP and heuristics.
Security constrained unit commitment (SCUC) is one of the most important daily tasks that independent system operators (ISOs) or regional transmission organizations (RTOs) must accomplish in daily electric power marke...
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ISBN:
(纸本)9781424483570
Security constrained unit commitment (SCUC) is one of the most important daily tasks that independent system operators (ISOs) or regional transmission organizations (RTOs) must accomplish in daily electric power market. Identifying the feasibility of the unit commitment state with security constraints is crucial for solving SCUC problems. If the feasibility of unit commitment state can be identified quickly, the efficiency of SCUC problem-solving methods can be greatly improved. In this paper, a group of analytical conditions for a commitment state to be feasible is established. More importantly, most of the commitment states can be quickly identified as feasible/infeasible by using these conditions. Numerical testing is performed for 2 power grids and the preliminary results shows that over 95% of infeasible commitment states are identified analytically by one of the necessary conditions, and over 74% of feasible commitment states are identified by the analytical sufficient conditions. Also, these conditions provide useful information for obtaining feasible SCUC solutions.
In this paper we explore the mobility of a mobile sink in a wireless sensor network (WSN) to prolong the network lifetime. Since the mechanical movement of mobile sink is driven by petrol and/or electricity, the total...
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ISBN:
(纸本)9781424456383
In this paper we explore the mobility of a mobile sink in a wireless sensor network (WSN) to prolong the network lifetime. Since the mechanical movement of mobile sink is driven by petrol and/or electricity, the total travel distance of the mobile sink should be bounded. To minimize the data loss during the transition of the mobile sink from its current location to its next location, its moving distance must be restricted. Also, considering the overhead on a routing tree construction at each sojourn location of the mobile sink, it is required that the mobile sink sojourns for at least a certain amount of time at each of its sojourn locations. The distance constrained mobile sink problem in a WSN is to find an optimal sojourn tour for the mobile sink such that the sum of sojourn times in the tour is maximized, subject to the above mentioned constraints. In this paper we first formulate the problem as a mixed integer linear programming (MILP). Due to its NP-hardness, we then devise a novel heuristic for it. We finally conduct extensive experiments by simulations to evaluate the performance of the proposed algorithm in terms of network lifetime. The experimental results demonstrate that the solution delivered by the proposed heuristic is nearly optimal which is comparable with the one by solving the MILP formulation but with much shorter running time.
Stochastic hybrid systems have several applications such as biological systems and communication networks, but it is difficult to consider analysis and control of general stochastic hybrid systems. In this paper, disc...
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ISBN:
(纸本)9781424453634
Stochastic hybrid systems have several applications such as biological systems and communication networks, but it is difficult to consider analysis and control of general stochastic hybrid systems. In this paper, discrete-time hybrid systems with stochastic mode transitions (called here discrete-stochastic hybrid systems) are considered as a class of stochastic hybrid systems. For this system, a modeling method and a model predictive control algorithm are proposed. In the proposed method, based on time sequences of modes, a given system is modeled by a time-varying mixed logical dynamical model. Furthermore, the control input is generated by solving a mixed integer linear programming problem at each time.
A constraint-based modelling approach was developed to investigate the metabolic response of the eukaryotic microalgae Chlamydomonas reinhardtii under photoautotrophic conditions. The model explicitly includes thermod...
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A constraint-based modelling approach was developed to investigate the metabolic response of the eukaryotic microalgae Chlamydomonas reinhardtii under photoautotrophic conditions. The model explicitly includes thermodynamic and energetic constraints on the functioning metabolism. A mixed integer linear programming method was used to determine the optimal flux distributions with regard to this set of constraints. It enabled us in particular to highlight the existence of a light-driven respiration depending on the incident photon flux density in photobioreactors.
Background: Pichia pastoris has been recognized as an effective host for recombinant protein production. A number of studies have been reported for improving this expression system. However, its physiology and cellula...
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Background: Pichia pastoris has been recognized as an effective host for recombinant protein production. A number of studies have been reported for improving this expression system. However, its physiology and cellular metabolism still remained largely uncharacterized. Thus, it is highly desirable to establish a systems biotechnological framework, in which a comprehensive in silico model of P. pastoris can be employed together with high throughput experimental data analysis, for better understanding of the methylotrophic yeast's metabolism. Results: A fully compartmentalized metabolic model of P. pastoris (iPP668), composed of 1,361 reactions and 1,177 metabolites, was reconstructed based on its genome annotation and biochemical information. The constraints-based flux analysis was then used to predict achievable growth rate which is consistent with the cellular phenotype of P. pastoris observed during chemostat experiments. Subsequent in silico analysis further explored the effect of various carbon sources on cell growth, revealing sorbitol as a promising candidate for culturing recombinant P. pastoris strains producing heterologous proteins. Interestingly, methanol consumption yields a high regeneration rate of reducing equivalents which is substantial for the synthesis of valuable pharmaceutical precursors. Hence, as a case study, we examined the applicability of P. pastoris system to whole-cell biotransformation and also identified relevant metabolic engineering targets that have been experimentally verified. Conclusion: The genome-scale metabolic model characterizes the cellular physiology of P. pastoris, thus allowing us to gain valuable insights into the metabolism of methylotrophic yeast and devise possible strategies for strain improvement through in silico simulations. This computational approach, combined with synthetic biology techniques, potentially forms a basis for rational analysis and design of P. pastoris metabolic network to enhance humanized glyco
Partitioning parameterized polygons is an essential process in a proposed layout-aware analog integrated circuit design flow. To deal with constraints associated with parameterized polygons, constraint programming (CP...
详细信息
Partitioning parameterized polygons is an essential process in a proposed layout-aware analog integrated circuit design flow. To deal with constraints associated with parameterized polygons, constraint programming (CP) technologies have been used in a previous partitioning algorithm. Although CP solvers are capable of coping with complex constraints, CP-based partitioning processes can be very time-consuming. In this paper, we propose the use of mixed integer linear programming (MILP) solvers in the partitioning of parameterized 45-degree polygons. Experimental results show that more than 150X speedup can be achieved for partitioning parameterized polygons containing very complex constraints.
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