According to the historical data of xx Factory, we use ARIMA time series to model how to predict the demand for spare parts of xx Factory. The forecast model test results show that the model can better predict, with h...
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To fully exploit the benefit of variable voltage processors, voltage schedules must be designed in the context of work load requirement. In this paper we present an approach to finding the least-energy voltage schedul...
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ISBN:
(纸本)0769514715;0769514723
To fully exploit the benefit of variable voltage processors, voltage schedules must be designed in the context of work load requirement. In this paper we present an approach to finding the least-energy voltage schedule for executing real-time jobs on such a processor according to a fixed priority, preemptive policy. The significance of our approach is that the theoretical limit in terms of energy saving for such systems is established, which can thus serve as the standard to evaluate the performance of various heuristic approaches. Two algorithms for deriving the optimal voltage schedule are provided. The first one explores fundamental properties of voltage schedules while the second one builds on the first one to further reduce the computational cost. Experimental results are shown to compare the results of this paper with previous ones.
The spread of 1-10 Gbps technology has in recent years paved the way to a flourishing landscape of new, highbandwidth Internet services. At the same time, we have also observed increasingly frequent and widely diversi...
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Multi-modal data feature fusion can effectively improve the accuracy of primary modal pattern recognition and address the issue of missing data through multi-modal collaboration. To some extent, supplementing multi-vi...
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ISBN:
(数字)9798350386226
ISBN:
(纸本)9798350386233
Multi-modal data feature fusion can effectively improve the accuracy of primary modal pattern recognition and address the issue of missing data through multi-modal collaboration. To some extent, supplementing multi-view information can alleviate the conflict between medical images’ reliance on professional annotations and the limited number of annotations. However, there are still several challenges in engineering multimodal feature perception and fusion for medical images, including imbalanced patterns that make it challenging to establish a weighted allocation criterion suitable for different tasks, misleading factors not positively correlated with knowledge richness, and complexities associated with integrating modalities having diverse formats for text and time series data into overall feature engineering and similarity. This paper introduces a multi-modal semantic fusion model that is sensitive to key information represented by contextual cues. Furthermore, it incorporates a dynamic feature engineering scheme capable of acquiring and integrating important insights from three perspectives with an optimized structure. Additionally, it presents a novel similarity evaluation criteria and fusion mode that adaptively adjust weights based on their contributions, facilitating the measurement of target object category likelihoods across various modalities for weighted analyses. The system combines LSTM and CNN models to builda sequence and local information sensitive structure designed to integrate heterogeneous features while embedding the multimodal similarity fusion. Emphasizing small yet compelling pieces of information such as contextual cues that prompt medical representation assignment to the target category, our system places significant importance on specificity removal and accuracy enhancement, exemplified by introducing contextual information demonstrating our sensitivity to contextual cues despite our non-specifically structured approach.
Sustainable entrepreneurship, fundamentally rooted in the principles of environmental stewardship, social responsibility and economic viability, constitutes the foundational bedrock of a fair and equitable business. T...
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ISBN:
(纸本)9783031674334;9783031674341
Sustainable entrepreneurship, fundamentally rooted in the principles of environmental stewardship, social responsibility and economic viability, constitutes the foundational bedrock of a fair and equitable business. This can be further expanded through innovation in products and services by developing novel approaches to solving social issues. Sustainable business cannot be realized without a digitized society that has seen people give voice to themselves to destroy existing conventions and unsustainable production issues among others and debate about them with a change mindset. This study aims to demonstrate the cost-effective synergy between digital technology integration, fostering change, and its collective impact on advancing social entrepreneurship. By showcasing how this combination not only promotes entrepreneurial endeavours but also generates additional revenue streams, this research aims to underline its pivotal role in furthering the cause of sustainability in business. Therefore, this study makes use of narrative analysis relying on personal interviews among women social entrepreneurs and aspiring women entrepreneurs of KIF (Kshamata Innovation Foundation), an NGO located in Bangalore, India. From these results, it emerges that KIF emphasizes the use of social media such as Facebook, communication technology such as WhatsApp, and entrepreneurial literacy actions aimed at improving the quality of understanding among aspirant female entrepreneurs about entrepreneurship knowledge.
With new technology, game developers have many new tools to create interactive experiences, and with those, come new problems. Video games have evolved tremendously over the past 30 years and so has the development an...
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ISBN:
(纸本)9781665458429
With new technology, game developers have many new tools to create interactive experiences, and with those, come new problems. Video games have evolved tremendously over the past 30 years and so has the development and production. Unique processes have been tested, failed, triumphed, invented and adopted. This paper covers how the challenges facing software engineers working on video games have evolved and changed.
In earthquake analyses, usually the seismic displacement is estimated by the sliding-block model, where a rigid block rests on an inclined plane and every time that the applied horizontal acceleration is larger than t...
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One of the most effective swarm intelligence-based algorithms for many global optimization issues is the Artificial Bee Colony (ABC) strategy. Despite the fact that there are many Artificial Bee Colony (ABC) variants,...
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