As UML statechart diagrams are the core for modeling the dynamic aspects of software systems, we have been studying their understandability for the last three years. In previous researches, we have already studied the...
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Traditionally, two protein sequences are classified into the same class if they have high homology in terms of feature patterns extracted through sequence alignment algorithms. These algorithms compare an unseen prote...
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Traditionally, two protein sequences are classified into the same class if they have high homology in terms of feature patterns extracted through sequence alignment algorithms. These algorithms compare an unseen protein sequence with all the identified protein sequences and returned the higher scored protein sequences. As the sizes of the protein sequence databases are very large, it is a very time consuming job to perform exhaustive comparison of existing protein sequence. Therefore, there is a need to build an improved classification system for effectively identifying protein sequences. In this paper, a recently developed machine learning algorithm referred to as the extreme learning machine (ELM) is used to classify protein sequences with ten classes of super-families downloaded from a public domain database. A comparative study on system performance is conducted between ELM and the main conventional neural network classifier - backpropagation neural networks. Results show that ELM needs up to four orders of magnitude less training time compared to BP Network. The classification accuracy of ELM is also higher than that of BP network. For given network architecture, ELM does not have any control parameters (i.e, stopping criteria, learning rate, learning epoches, etc.) to be manually tuned and can be implemented easily.
In this paper, a fuzzy logic controller is proposed for trajectory tracking of underwater-manipulator systems (UVMS). The controller is designed based on PD control method with gain tuning based on the fuzzy logic heu...
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We present a virtual reality platform for developing and evaluating embodied models of cognitive development. The platform facilitates structuring of the learning agent, of its visual environment, and of other virtual...
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Hazard detection and prevention of natural and manmade disasters at critical civil infrastructure is becoming increasingly important. Recent events, such as earthquakes and terrorist attacks, clearly demonstrated the ...
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The Genome Halving Problem is motivated by the whole genome duplication events in molecular evolution that double the gene content of a genome and result in a perfect duplicated genome that contains two identical copi...
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It is estimated that ninety percent of the world's species have yet to be discovered and described. The main reason for the slow pace of new species description is that the science of taxonomy, as traditionally pr...
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Backbones infrastructures in wireless sensor networks reduce the communication overhead and energy consumption. In this paper, we present BackBone Routing (BBR), a fully distributed protocol for construction and rotat...
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Backbones infrastructures in wireless sensor networks reduce the communication overhead and energy consumption. In this paper, we present BackBone Routing (BBR), a fully distributed protocol for construction and rotation of backbone networks. BBR reduces energy consumption without significantly diminishing the capacity or connectivity of the network. Another key feature of BBR is its energy balancing nature by distributing the role of being Backbone Node among all the nodes. BBR builds on the observation that when a region of a shared-channel wireless network has a sufficient density of nodes, only a small number of them need be on at any time to forward traffic for active connections. Improvement in system lifetime due to BBR increases as the ratio of idle-to-sleep energy consumption increases, and increases as the density of the network increases. Our experiments show that BBR is more efficient in saving energy and extending network life without deteriorating network performance when compared with geographical shortest path routing.
This paper presents new fast algorithms to improve the widely used endmember extraction algorithm, called pixel purity index (PPI) and also modify a revised version of PPI, called block of skewers (BOS) method. Since ...
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