A fundamental concern for energy renewable wireless mesh networks (WMNs) is properly routing exotic traffic across the network according to the energy adequacy at different mesh APs, such that the probability that mes...
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ISBN:
(纸本)9781467376877
A fundamental concern for energy renewable wireless mesh networks (WMNs) is properly routing exotic traffic across the network according to the energy adequacy at different mesh APs, such that the probability that mesh APs deplete their energy and go out of service is minimized, or equivalently, the network sustainability is maximized However, existing sustainable routing schemes suffer significantly from low spectral efficiency (SE) performance, either because the selected path goes through links with poor quality or the route stretches too long so as to bypass nodes with low residual energy. this will inevitably lead to low end-to-end attainable rate (i.e., SE), and consequently underutilization of the scarce bandwidth resource. To cope withthe above issue, we take SE into consideration and formulate the sustainable routing problem with stringent SE guarantee as an integer nonlinear programming problem. In addition, an optimal shortest path based sustainable routing (SPSR) algorithm is proposed to solve the problem with polynomial-time complexity. Extensive simulation results verify that our proposed SPSR algorithm outperforms existing state-of-the-art solutions in terms of both SE and network lifetime.
the proceedings contain 41 papers. the topics discussed include: analyzing correlation of resident activities based on infrared sensors;background subtraction for surveillance videos with camera jitter;an automatic ma...
ISBN:
(纸本)9781467376587
the proceedings contain 41 papers. the topics discussed include: analyzing correlation of resident activities based on infrared sensors;background subtraction for surveillance videos with camera jitter;an automatic machine vision method for the flaw detection on car's body;restricted Boltzmann machine for saliency detection;segmentation of noisy CT volume data using improved 3D Chan-Vese model;functional brain network analysis of the fatigue state for coach bus driver;an efficient image-aware Kana-Kanji conversion algorithm for Twitter on mobile phones;applying a hybrid IGA-SimE algorithm to a multimedia retrieval system;assessment of gait parameters during unconstrained straight-line walking using a single camera;a novel real-time digital video stabilization algorithm based on the improved diamond search and modified Kalman filter;new feature of Nystagmus and its application in benign pistional paroxysmal vertigo;and MSVD-MOEB algorithm applied to cancer gene expression data.
the truck dispatching problem in open-pit mines is formulated into an integer programming problem in order to optimally determine the trip numbers of trucks from a shovel (dump site) to a dump site (shovel). the dispa...
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the truck dispatching problem in open-pit mines is formulated into an integer programming problem in order to optimally determine the trip numbers of trucks from a shovel (dump site) to a dump site (shovel). the dispatching result aims to answer the question of where should a truck go so that the production target is achieved with minimum operating cost. An analytic method to determine the optimal fleet size taking advantage of the dispatching result is also presented. It is shown by experiments that the proposed integer programming approach is capable of saving 15.65% truck operating cost than fixed truck assignment policy in the studied homogeneous fleet case. It is also shown that the truck operating cost can be further reduced by proper use of a heterogeneous fleet. (C) 2015 the Authors. Published by Elsevier Ltd.
Specially designed programming environments have been used for decades to support the novice programmers learning programming. In this paper, we present various forms of Educational Technology that have guided the des...
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In this paper, different aspects and experiences from objectoriented programming courses that are taught in three institutions from three different European countries are presented and compared. the emphasis is given ...
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Processing hierarchical data structures, due to their increasing popularity, becomes more and more important. In our previous works we have developed many exact integration algorithms for trees, but designing a new al...
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ISBN:
(纸本)9783319243061;9783319243054
Processing hierarchical data structures, due to their increasing popularity, becomes more and more important. In our previous works we have developed many exact integration algorithms for trees, but designing a new algorithm for each new integration aim is resource consuming. In this paper we propose a universal integration method based on genetic programming heuristic. Experimental evaluation shows that this approach is slightly slower than exact algorithms and sometimes provides worse solutions. One important advantage however is that it may be applied with no additional effort to any problem, without the need for a long design phase.
Breast cancer affects several people at present time. Diagnosis which determines whether the cancer is benign or malignant requires a lot of effort from doctors and physician. Early diagnosis may save many lives. Accu...
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ISBN:
(纸本)9781509000760
Breast cancer affects several people at present time. Diagnosis which determines whether the cancer is benign or malignant requires a lot of effort from doctors and physician. Early diagnosis may save many lives. Accurate classification plays an important role in medical diagnosis. Genetic programming is a machine learning algorithm which now days excelling in classification field. But Genetic programming generally face the problem of code bloating in which an increase in average tree size is found without a corresponding increase in fitness. In this paper we are proposing a new technique for solving the problem of bloat and for increasing classification accuracy. the technique is known as intelligent crossover and mutation technique. this technique is a combination of hill climbing and conventional method which will be applied on both crossover and mutation operator. To demonstrate this, we had taken WBC dataset from UCI repository which has 2 classes and 9 features and we have compared classification accuracy of our method with standard crossover and FEDS crossover. Our classification accuracy was 97.5% for 50-50 training and testing methodology 95% for 60-40, 99% for 70-30, 99.5% for 80-20 and 99.6% for 10 fold cross validation technique. this shows our method can be used for medical diagnosis as it provides good results.
Recent research works show an increasing trend in analyzing agriculture problem because of its good applicability and usability. Also, the rapid development of mathematical model mitigates the difficulty to solve such...
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ISBN:
(纸本)9783319198576;9783319198569
Recent research works show an increasing trend in analyzing agriculture problem because of its good applicability and usability. Also, the rapid development of mathematical model mitigates the difficulty to solve such abstract and uncertain problem. In this paper, the questions are discussed about a wine system, which contains some grape blocks and winery together. In the paper, a bilevel model is developed for obtaining the balance between profits and production quality.
the proceedings contain 27 papers. the special focus in this conference is on Reversible Machines and Reversible Languages. the topics include: Moment semantics for reversible rule-based systems;a hierarchy of fast re...
ISBN:
(纸本)9783319208596
the proceedings contain 27 papers. the special focus in this conference is on Reversible Machines and Reversible Languages. the topics include: Moment semantics for reversible rule-based systems;a hierarchy of fast reversible turing machines;real-time methods in reversible computation;reversible ordered restarting automata;garbage collection for reversible functional languages;reverse code generation for parallel discrete event simulation;towards a domain-specific language for reversible assembly sequences;reversibility in extended measurement-based quantum computation;a fully fault-tolerant representation of quantum circuits;equational reasoning about quantum protocols;design and fabrication of a microprocessor using adiabatic CMOS and Bennett Clocking;improved algorithms for debugging problems on erroneous reversible circuits;a language for describing and rewriting reversible circuits with Ancillae and its permutation semantics;technology mapping for single target gate based circuits using boolean functional decomposition;towards line-aware realizations of expressions for HDL-based synthesis of reversible circuits;synthesis of quantum circuits for dedicated physical machine descriptions;power-clock generator impact on the performance of NEM-based quasi-adiabatic logic circuits;towards a cost metric for nearest neighbor constraints in reversible circuits;towards modelling of local reversibility and application of functional decomposition in synthesis of reversible circuits.
A model is developed for minimizing the energy consumption of an electric multiple unit through optimized driving style, based on Hamilton-Jacobi-Bellman equation and Bellman's backward approach. Included are the ...
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A model is developed for minimizing the energy consumption of an electric multiple unit through optimized driving style, based on Hamilton-Jacobi-Bellman equation and Bellman's backward approach. Included are the speed limits, track profile (elevations), different driving modes and the train load. this paper includes aspects like the power loss in the auxiliary systems, time management, validation of the model regarding energy calculations and a study on discretization and the accuracy of the model. the model will be used as a base for a new driver advisory system. (C) 2015 the Authors. Published by Elsevier Ltd.
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