In adversarial situations, the input data to an algorithm could be manipulated to make the algorithm produce erroneous output or to make a wrong decision. The paper presents a formal definition and a model of algorith...
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ISBN:
(纸本)9781905305407
In adversarial situations, the input data to an algorithm could be manipulated to make the algorithm produce erroneous output or to make a wrong decision. The paper presents a formal definition and a model of algorithm manipulation from a game-theoretic point of view. algorithm manipulation is viewed as a game between a decision maker and an adversary. The decision maker runs an algorithm to make a decision, whereas the adversary manipulates the input data to his own advantage and to the disadvantage of the decision maker. The paper also proposes a method for decision making based on manipulated input. According to the method, the decision strategy and the manipulation must be in Nash equilibrium. In other words, the decision strategy is the best response to the manipulation and vice versa, the manipulation is the best response to the decision strategy.
The performance of an evolutionary algorithm strongly depends on the design of its operators and on the management of these operators along the search;that is, on the ability of the algorithm to balance exploration an...
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The performance of an evolutionary algorithm strongly depends on the design of its operators and on the management of these operators along the search;that is, on the ability of the algorithm to balance exploration and exploitation of the search space. Recent approaches automate the tuning and control of the parameters that govern this balance. We propose a new technique to dynamically control the behavior of operators in an EA and to manage a large set of potential operators. The best operators are rewarded by applying them more often. Tests of this technique on instances of 3-SAT return results that are competitive with an algorithm tailored to the problem.
The increasing complexity of vehicle control requires high quality of automotive control software. The software quality is guaranteed by the quality of the development process. Today, software is mostly developed acco...
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The increasing complexity of vehicle control requires high quality of automotive control software. The software quality is guaranteed by the quality of the development process. Today, software is mostly developed according to the V model, based on formal system descriptions that are increasingly refined on every level. Development of complex dynamic control software is a special challenge in automotive software design. This paper describes the MMCD controller design process developed by AVL. This process allows mostly automated development and calibration of multivariable control algorithms, leading to high quality. The integration in the V model is illustrated. First production applications will come shortly.
In order to solve the problem of large energy consumption caused by premature convergence of comprehensive energy scheduling algorithm, a comprehensive energy optimal coordination planning algorithm considering new en...
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ISBN:
(纸本)9781665420655
In order to solve the problem of large energy consumption caused by premature convergence of comprehensive energy scheduling algorithm, a comprehensive energy optimal coordination planning algorithm considering new energy grid connection is proposed. The power output models of wind power station, photovoltaic power station, cascade hydropower station and thermal power plant are established to determine their power characteristics. Considering the new energy grid connection, construct the joint distribution function, calculate the correlation coefficient between wind power generation and photovoltaic power generation, and establish a comprehensive power generation mode. By setting the objective function and constraints, the comprehensive energy joint control model is constructed, and the optimal coordinated programming algorithm is designed to solve the objective function to meet the load demand of users. The example analysis results show that under the condition of roughly the same solution time, compared with the coordinated planning algorithm based on multi-objective difference and dynamic programming, the algorithm designed in this paper has less energy consumption of thermal power plants and water consumption of cascade hydropower stations, and can realize the optimal operation of the whole power system.
Quantum algorithms can be analyzed in a query model to compute Boolean functions where input is given in a black box, but the aim is to compute function value for arbitrary input using as few queries as possible. In t...
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ISBN:
(纸本)9780819466952
Quantum algorithms can be analyzed in a query model to compute Boolean functions where input is given in a black box, but the aim is to compute function value for arbitrary input using as few queries as possible. In this paper we concentrate on quantum query algorithm designing tasks. The main aim of research was to find new efficient algorithms and develop general algorithm designing techniques. We present several exact quantum query algorithms for certain problems that are better than classical counterparts. Next we introduce algorithm transformation methods that allow significant enlarging of sets of exactly computable functions. Finally, we propose quantum algorithm designing methods. Given algorithms for the set of sub-functions, our methods use them to design more complex one, based on algorithms described before. Methods are applicable for input algorithms with specific properties and preserve acceptable error probability and number of queries.
The necessity of understanding and analyzing the flow field characteristics has prompted researchers to strive for more precise tools and systems to enhance the accuracy of flow velocity measurements. We propose in th...
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ISBN:
(数字)9781624107115
ISBN:
(纸本)9781624107115
The necessity of understanding and analyzing the flow field characteristics has prompted researchers to strive for more precise tools and systems to enhance the accuracy of flow velocity measurements. We propose in this paper the noise-robust Particle Event Velocimetry (PEV), which is a particle-level estimate of the flow field based on the analysis of individual seed particles observed and tracked using event-based camera. Compared to conventional frame-based (FB) Particle Image/Tracking Velocimetry (PIV/PTV) and event-based (EB) particle velocimetry methods, the proposed PEV's flow field achieves higher spatial resolution limited only by the density of the seeded particles while maintaining experimental simplicity. We also developed an event-based camera simulator for synthetic data with a ground-truth motion field to objectively benchmark the proposed PEV against other FB and EB methods and analyzed these competing methodologies' ability to reconstruct sharp motion boundaries and flow field curvatures. The results include real-world event-based camera data experiments, in addition to the benchmark results which show that the algorithm developed for PEV was able to achieve a superior velocimetry compared to other algorithms.
Computational algorithms can be described in many methods and implemented in many languages. Here we present an approach using storytelling methods of computer game design in modeling some finite-state machine algorit...
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Computational algorithms can be described in many methods and implemented in many languages. Here we present an approach using storytelling methods of computer game design in modeling some finite-state machine algorithms and applications requiring user interaction. An open source software Twine is used for the task. Interactive nonlinear stories created with Twine are applications that can be executed in a web browser. Storytelling approach provides an easy-to-understand view on computational algorithms allowing communication with people with no computer science education. It also allows rapid prototyping and testing in mixed background work teams.
Simulation and efficiency optimization algorithm of virtual logistics transmission network based on RFID tag is designed and implemented in the paper. Before studying the service quality of logistics assurance network...
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ISBN:
(数字)9781665408370
ISBN:
(纸本)9781665408387;9781665408370
Simulation and efficiency optimization algorithm of virtual logistics transmission network based on RFID tag is designed and implemented in the paper. Before studying the service quality of logistics assurance network, it is necessary to clarify the definition of logistics assurance network service quality, and give an appropriate definition of its connotation and extension. Hence, this study define the considered work as the intelligent virtual logistics transmission network. In the current research field of data encryption mechanism of RFID system, according to the security and implementation complexity of the core algorithm, it is divided into lightweight encryption algorithm, middle-weight encryption algorithm and heavy-weight encryption algorithm. Then, the complex scenario RFID will be selected as the target to design the model. Then, the network topology is optimized and the application scenario is simulated.
The escalating usage of artificial intelligence (AI) and machine learning algorithms across diverse fields has prompted apprehension regarding the propagation of algorithmic bias, which may exacerbate instances of dis...
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ISBN:
(纸本)9798350342734
The escalating usage of artificial intelligence (AI) and machine learning algorithms across diverse fields has prompted apprehension regarding the propagation of algorithmic bias, which may exacerbate instances of discrimination and inequality. algorithmic bias in AI and machine learning (ML) techniques manifests in real-world applications as a result of either insufficient data variation or augmentation availability in the AI/ML training data, or a flawed learning policy. This leads to the accidental propagation of AI bias as an unjust treatment of particular groups of individuals, owing to their race, gender [1], age, or other distinguishing attributes in practical applications. This paper offers a comprehensive analysis of algorithmic bias, encompassing its origins, ethical and social ramifications, and possible remediations. In addition, this paper introduces an innovative methodology for identifying and measuring algorithmic bias that integrates statistical analysis with input from users and domain specialists. This exposition examines distinct forms of algorithmic biases, such as selection bias, confirmation bias, and measurement bias, and examines underlying catalysts for algorithmic bias, encompassing data integrity concerns, decisions regarding algorithmic design, and institutional prejudgments. The adverse ramifications of algorithmic bias, including the perpetuation of social inequality and the impeding of societal advancement, are the focus of our examination. The present study seeks to make a contribution to the advancement of impartial [2] and equitable AI systems with the potential to foster societal progress and benefit individuals across diverse demographics by identifying the sources and repercussions of algorithmic bias and recommending efficacious interventions.
Field programmable gate array (FPGA) technology is a powerful platform for implementing computationally complex, digital signal processing (DSP) systems. Applications that are multi-modal, however, are designed for wo...
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ISBN:
(纸本)9780769547688
Field programmable gate array (FPGA) technology is a powerful platform for implementing computationally complex, digital signal processing (DSP) systems. Applications that are multi-modal, however, are designed for worse case conditions. In this paper, genetic sequencing techniques are applied to give a more sophisticated decomposition of the algorithmic variations, thus allowing an unified hardware architecture which gives a 10-25% area saving and 15% power saving for a digital radar receiver.
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