ChatGPT hit 1M users in just 5 days once it went public, the leading companies such as Facebook, Instagram, Spotify, Netflix took several months to years to achieve this mark. As a result of the conversational AI Chab...
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In this paper an implementation for a small-sized subwoofer system is proposed, utilizing three 4-inch drivers. The low frequency reproduction approach adopted here is based on narrow bandwidth loudspeaker design with...
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ISBN:
(纸本)9781450315692
In this paper an implementation for a small-sized subwoofer system is proposed, utilizing three 4-inch drivers. The low frequency reproduction approach adopted here is based on narrow bandwidth loudspeaker design with high quality factors. The desired resonance frequency of each loudspeaker is obtained by increasing the cone mass, in order to minimize the volume of each enclosure. Copyright 2012 ACM.
Multicore architecture of CPU is popular because of its performance;the challenge for the Multicore environment are-writing the effective code that can exploit the parallelism, measuring the performance in terms of CP...
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Accommodating for learner diversity based on cultural backgrounds has not yet been a major personalization focus until recently. Increasing numbers of Internet-ready devices have propelled e-Learning forward such that...
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Signals with sparse but otherwise unknown frequency content are well-represented by multi-coset samples, and efficient algorithms can be used to recover the underlying sparsity structure. While such sampling is usuall...
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Nature has wide latitude to select among messenger RNA (mRNA) sequences which are informationally equivalent, but structurally and energetically divergent. In this work, an attempt is made to explore how nature takes ...
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ISBN:
(纸本)9781581134988
Nature has wide latitude to select among messenger RNA (mRNA) sequences which are informationally equivalent, but structurally and energetically divergent. In this work, an attempt is made to explore how nature takes advantage of this freedom, and how to algorithmically design structures more energetically favorable than have been built through natural selection. Experimental results are discussed, placing the high/low stability sequences in context with both wildtype and random encodings.
Recently, measurement, analysis, and modeling of human motor functions have been intensively studied, because motor skills are useful for various applications, such as digital archiving, sports training, and rehabilit...
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Electronic Health Records (EHRs) are crucial for effective patient care and informed decision-making. Proving the authenticity of Electronic Health Records (EHRs) is important for ensuring the quality and reliability ...
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Strain sensors are used to guarantee integrity, safety, and appropriate maintenance in a multitude of applications such as civil structures, industrial equipment, and aircrafts. In harsh environments associated with p...
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Nowadays advanced software systems need to satisfy large number of quality attributes at the same time. It is a very complex optimization problem which software architects must address. Evolutionary algorithms can hel...
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ISBN:
(纸本)9781450328814
Nowadays advanced software systems need to satisfy large number of quality attributes at the same time. It is a very complex optimization problem which software architects must address. Evolutionary algorithms can help architects to find optimal solutions which meet these conflicting quality attributes. However, these metaheuristic approaches in multiobjective problems especially for high dimensions mostly take so long time to be executed. One of the best solutions to speed up this process is distributing execution of evolutionary algorithm on multiple nodes of a super computer or on the cloud. This paper presents the results of distributed execution of evolutionary algorithm for multiobjective optimization of software architecture. We report implementation of two different ways for distributed execution of evolutionary algorithm: (1) Actor-based approach, (2) MapReduce approach. The case study in this experiment is an industrial software system which is derived from a real world automotive embedded system. The results of this computationally-intensive experiment on a super computer give us 81.27% parallelization efficiency for distribution among 5 nodes.
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