An new swarm intelligence algorithm based on the behavior of honeybee swarms has been proposed for some years, namely, Artificial Bee Colony(ABC). In this work, ABC is used for optimizing a set of split in a given int...
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ISBN:
(纸本)9781467344999
An new swarm intelligence algorithm based on the behavior of honeybee swarms has been proposed for some years, namely, Artificial Bee Colony(ABC). In this work, ABC is used for optimizing a set of split in a given integration interval by simulating the foraging activities of bees and reflecting the changing trends of the integrand. At the same time, this work also compares the performance of ABC algorithm with that of Trapezoidal, Simpson, Differential Evolution(DE), particle swarm optimization(PSO) for numerical integration. The simulation results show that the mentioned algorithm for numerical integration outperforms the other algorithm.
As interactive systems become increasingly entwined with architecture, and spaces become able to detect the presence of individuals, we argue that the control of visibility as a temporary personal state should be cons...
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The quadruped/biped reconfigurable walking robot with parallel leg mechanism can realize not only the quadruped walking, but also the biped walking. The converting process from the quadruped to the biped includes lock...
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Research has shown that environment lighting influences the behavior of the employees in an office setting highly, making lighting configuration in an office space crucial. A breakout area may be used by the employees...
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Research has shown that environment lighting influences the behavior of the employees in an office setting highly, making lighting configuration in an office space crucial. A breakout area may be used by the employees for various activities that need to be supported by different lighting conditions, e.g. informal meetings or personal retreat. The desired lighting conditions depend on user preferences and other contextual data observable in the environment. In this paper, we introduce a new method for building prediction models to provide intelligent lighting in our pilot breakout area. Based on a set of pre-defined features that are expected to have influence on the users' choice in selecting a desired lighting environment, we introduce a probabilistic model for generating synthetic data. We also discuss and compare the performances of various rule-based classification models on the synthetic data and find `DecisionTable' to be the most suitable model for our pilot implementation. We study the influence of the training set size (number of samples) on various classification models and the influences of individual features through simulations. We present empirical results based on the synthetic dataset and a roadmap for future research.
The concept of intelligent lighting facilitates the use of machine learning models to adapt the lighting application behavior based on changing context. Ideally, a complete dataset without missing values is used to tr...
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The concept of intelligent lighting facilitates the use of machine learning models to adapt the lighting application behavior based on changing context. Ideally, a complete dataset without missing values is used to train the learning algorithm. Nevertheless, it is common to have missing data values in the dataset, e.g. due to lack of rich enough user interfaces such as smart phones. In this paper, we study various probabilistic approaches to treat missing feature values in a dataset collected from an office breakout area. This dataset is used to train the learning model to provide intelligent lighting solutions. We evaluate the performance of five different approaches by simulation, using four rule-based classification algorithms and various proportions of missing data. We find that none of these approaches gives best performance over the necessary range of conditions, and that an adaptive strategy is more suited.
Smart spaces provide enhanced user experience through sensing and adaptation to changing context. Hence, they allow distributed applications to show intelligent, autonomous and interactive behavior. Two important rese...
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Smart spaces provide enhanced user experience through sensing and adaptation to changing context. Hence, they allow distributed applications to show intelligent, autonomous and interactive behavior. Two important research topics within this field are machine learning and human-system interaction. This paper introduces a pilot smart space implementation on top of a Wireless Sensor and Actuator Network (WSAN) infrastructure that is specifically intended to investigate these two aspects. We investigate a scenario built around an office breakout area context. We describe the infrastructure setup, the novel user interfaces, the network architecture and the message exchange policies of the pilot implementation. We employ the opportunities of modern lighting systems in the proposed implementation.
In shared-memory Chip Multiprocessor (CMP), shared data between different cores must be exchanged through the last-level-shared-cache and cache coherence must be maintained at the same time. As the number of cores inc...
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In shared-memory Chip Multiprocessor (CMP), shared data between different cores must be exchanged through the last-level-shared-cache and cache coherence must be maintained at the same time. As the number of cores increase, the cache coherence wall has become more and more serious. As for the multimedia applications full of streaming-like data, existing multicore cache coherence protocols show lower performance and cannot meet the timeliness. In the paper, considering the poor temporal locality and high real-time characteristics of the multimedia data, we propose the distributed light-weight active-push buffer (DWALP-buffer) architecture to alleviate the cache coherence latency on streaming-like data in CMP. The architecture introduces a dedicated shared-data exchange channel between adjacent cores. The channel bridges the internal register files and reduces the shared-data communication latency. Supported by the control protocol, the architecture can adaptively balance the rate mismatch in producer-consumer pipeline model. We build a quad-core CMP simulation platform with the DWLAP-buffers. Our experiment indicates that comparing with the last-shared-level-cache method the architecture can improve the average performance by 13% and alleviate the snooping operations caused from maintaining cache coherence by 26%.
This paper exploits sink mobility to prolong the network lifetime in wireless sensor networks (WSNs) where the information delay caused by moving the sink should be bounded. We build a unified framework for analyzing ...
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ISBN:
(纸本)9781457720529
This paper exploits sink mobility to prolong the network lifetime in wireless sensor networks (WSNs) where the information delay caused by moving the sink should be bounded. We build a unified framework for analyzing this joint sink mobility and routing problem. We offer a mathematical modeling that is general and captures diversified issues, e.g. sink mobility, routing, delay, etc. We discuss the induced subproblems and present efficient solutions for them. Then, we generalize these solutions and propose a polynomial-time optimal algorithm for the origin problem. In simulations, we show the benefits of involving a mobile sink. We also show that the impact of the delay bound on the network lifetime.
This paper proposes a novel category and scene classification framework using the Hidden Conditional Random Fields (HCRFs) model. The main advantage of the proposed framework is its ability to combines both large-scal...
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VMPC is a modified RC4 stream cipher proposed in FSE 2004, which is designed especially to resist distinguishing attacks. In this paper, we present a heuristic distinguishing attack against VMPC. By finding the weakne...
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