Agent Swarm Optimization (ASO) is a generalization of Particle Swarm Optimization (PSO) orientated towards distributed artificial intelligence, taking as a base the concept of multi-agent systems. It is aimed at suppo...
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ISBN:
(纸本)9788890357411
Agent Swarm Optimization (ASO) is a generalization of Particle Swarm Optimization (PSO) orientated towards distributed artificial intelligence, taking as a base the concept of multi-agent systems. It is aimed at supporting decision-making processes by solving either single or multi-objective optimization problems. ASO offers a common framework for the plurality of co-existent population-based algorithms and other heuristics. A particle from a PSO swarm, an ant from an ACO (Ant Colony Optimization) system, and a chromosome from a GA (Genetic Algorithm) structure do exhibit different behaviour. Yet, they all share a common feature: each represents a potential solution for the problem to be solved. In a combined environment, a PSO particle could help reinforce pheromone on the ants' paths;an ant could be reproduced with a chromosome;a chromosome could be the leader of a particle swarm, and so on. this framework is a dynamic environment where new agents/swarms can be added in realtime to contribute to the solution of the problem. During the solution process, the own user can add new agents/swarms to the environment and even contribute to the solution process with problem-based personal proposals. In this work the ASO framework is described, and used to solve a complex problem in water management, namely the optimal design of water distribution systems (including, sizing of components, reliability, renewal and rehabilitation strategies, etc.) using a multi-objective approach.
this paper describes a methodology for embedding dynamic behaviour into software components. the implications and system architecture requirements to support this adaptivity are discussed. this work is part of a Europ...
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ISBN:
(纸本)9783540692942
this paper describes a methodology for embedding dynamic behaviour into software components. the implications and system architecture requirements to support this adaptivity are discussed. this work is part of a European Commission funded and industry supported project to produce a reconfigurable middleware for use in automotive systems. Such systems must be trustable against illegal internal behaviour and activity with external origins, additional devices for example. Policy-based computing is used here as an example of embedded logic. A key contribution of this work is the way in which static and dynamic aspects of the system are interfaced, such that the behaviour can be changed very flexibly (even during run-time), without modification, recompilation or redeployment of the embedded application code. An implementation of these concepts is presented, focussing on achieving trust in the use of dynamic behaviour.
Use cases have been used to describe functional requirements of information systems in a natural language. In the design phase, use cases can be used to construct design model and then the model can be checked by some...
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the popularity of mobile and multimedia applications made real-time support a mandatory feature for embedded operating systems. However, the current situation is that the overall performance is significantly degraded ...
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ISBN:
(纸本)9783540756637
the popularity of mobile and multimedia applications made real-time support a mandatory feature for embedded operating systems. However, the current situation is that the overall performance is significantly degraded due to the real-time support. this paper suggests a novel scheme to minimize the performance degradation in embedded operating systems withreal-time support. Especially, we propose transparent and selective real-time interrupt services which transparently monitor the system and postpone interrupt handling that are not relevant to real-time tasks. the proposed scheme was implemented on the Linux 2.6 kernel and the experimental results show that our scheme improves the throughput by up to 86% for Hackbench benchmark while providing almost the same scheduling latency compared to the previous work.
the past researches indicated that game-based learning attracts and motivates children. More and more educational games are developed for children in classroom. At the same time, a growing number of children have thei...
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Distributed Stream Processing (DSP) systems are well acknowledged to be potent in processing huge volume of real-time stream data with low latency and high throughput. Recently, the edge computing paradigm shows great...
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ISBN:
(纸本)9783030337025;9783030337018
Distributed Stream Processing (DSP) systems are well acknowledged to be potent in processing huge volume of real-time stream data with low latency and high throughput. Recently, the edge computing paradigm shows great potentials in supporting and boosting the DSP applications, especially the time-critical and latency-sensitive ones, over the Internet of things (IoT) or mobile devices by means of offloading the computation from remote cloud to edge servers for further reduced communication latencies. Nevertheless, various challenges, especially the joint operator scaling and placement, are yet to be properly explored and addressed. Traditional efforts in this direction usually assume that the data-flow graph of a DSP application is pre-given and static. the resulting models and methods can thus be ineffective and show bad user-perceived quality-of-service (QoS) when dealing withreal-world scenarios with reconfigurable data-flow graphs and scalable operator placement. In contrast, in this paper, we consider that the data-flow graphs are configurable and hence propose the joint operator scaling and placement problem. To address this problem, we first build a queuing-network-based QoS estimation model, then formulate the problem into an integer-programming one, and finally propose a two-stage approach for finding the near-optimal solution. Experiments based on real-world DSP test cases show that our method achieves higher cost effectiveness than traditional ones while meeting the user-defined QoS constraints.
this paper presents high quality and robust Infinite Impulse Response (IIR) adaptive howling suppressor (AHS) developed based on adaptive notch filters (ANF) with regularisation. the proposed method uses Normalised Le...
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the fronthaul for 5th generation mobile systems (and beyond) has evolved with new splits for the radio access network functions defined, and the transport for these split interfaces having very different requirements....
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ISBN:
(纸本)9781728123738
the fronthaul for 5th generation mobile systems (and beyond) has evolved with new splits for the radio access network functions defined, and the transport for these split interfaces having very different requirements. Testing of the transport for such split interfaces is reported, and it is shown that an Ethernet fronthaul transport network, which is capable of bringing efficiency gains through statistical multiplexing, can meet stringent latency and latency variation requirements, assuming buffering and playout of the radio waveforms and that timing/synchronization signals are prioritized. An aggregation technique for a 100 Gb/s Ethernet trunk which provides for such timing signals is demonstrated. real-time monitoring of the Ethernet fronthaul for software-defined networking control and performance optimization is also shown.
In spite of the heated discussions of traditional named-entities, complex named-entities like movie names and book names are seldom referred in literature. this work focuses on the recognition of such named-entities, ...
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ISBN:
(纸本)9780769533056
In spite of the heated discussions of traditional named-entities, complex named-entities like movie names and book names are seldom referred in literature. this work focuses on the recognition of such named-entities, especially those with little context, which is common in real-world queries. therefore, we suggest using dynamic Web data as the basis of recognition. To solve the problem of response time of Web-based algorithms, we propose a novel preprocessing method that combines rough segmentation and caching techniques. Evaluations show that the methods have not only achieved fairly good performance, but also lowered system response significantly.
Multi-Access Edge computing (MEC) has become a key paradigm in contemporary network topologies due to the spread of Internet of things (IoT) devices and the growing need for low-latency, high-performance applications....
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