At the end of 2019, a global outbreak of a new coronavirus ravaged the world, and to this day, many people’s bodies are still deeply affected by the virus. In order to find out if there is a correlation between diffe...
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Randomized hash-lock protocols for Radio Frequency IDentification (RFID) tags offer forward untraceability, but incur heavy search on the server. Key trees have been proposed as a way to reduce search times, but becau...
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This paper presents an efficient hybrid memory access optimization system called HyMacs, which integrates the hardware and software optimization strategies in the embedded system design. First, HyMacs features a pre-c...
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ISBN:
(纸本)9781595939999
This paper presents an efficient hybrid memory access optimization system called HyMacs, which integrates the hardware and software optimization strategies in the embedded system design. First, HyMacs features a pre-configuration stage which is equipped with a memory configuration algorithm to satisfy area constraints. Then a custom instruction generation process is integrated in the system via a seedgrowth algorithm under the intelligent guide functions. The custom instruction benefits to the reduction of the whole memory access latency and thus relieves the burden of system through hardware mode. Finally, a data-dependencydriven scheduling algorithm is also integrated to compress the whole latency through access mode conversion. We have tested the system on a set of commonly used benchmarks, and compared the results with the previous memory access system MACCESS-opt proposed in DAC'05. The experimental results indicate 20% enhancement obtained for the total memory access latency reduction compared with MACCESS-opt, where the custom instruction generation and scheduling contribute about 15% and 5% respectively. Copyright 2008 ACM.
We propose a method for using ethnographic field data to substantiate agent-based models for socially-oriented systems. We investigate in-situ use of domestic technologies created to encourage fun between grandparents...
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Two proposals are presented in this study in an attempt to solve the problem of network selection, which are based on fuzzy logic techniques and methods of decision making. The first proposal uses a combination of the...
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Open innovation within an organization focuses on the dissemination of new knowledge among employees in different departmental units. When the willingness to share knowledge with colleagues increases, new knowledge di...
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Neural networks have been applied in analyzing the influencing factors of electricity consumption in residential households nationwide and have achieved good results in electricity consumption prediction. However, the...
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To reduce the negative effects that conventional modes of transportation have on the environment,researchers are working to increase the use of electric *** demand for environmentally friendly transportation may be ha...
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To reduce the negative effects that conventional modes of transportation have on the environment,researchers are working to increase the use of electric *** demand for environmentally friendly transportation may be hampered by obstacles such as a restricted range and extended rates of *** establishment of urban charging infrastructure that includes both fast and ultra-fast terminals is essential to address this ***,the powering of these terminals presents challenges because of the high energy requirements,whichmay influence the quality of *** the maximum hourly capacity of each station based on its geographic location is necessary to arrive at an accurate estimation of the resources required for charging *** is vital to do an analysis of specific regional traffic patterns,such as road networks,route details,junction density,and economic zones,rather than making arbitrary conclusions about traffic *** vehicle traffic is simulated using this data and other variables,it is possible to detect limits in the design of the current traffic engineering ***,the binary graylag goose optimization(bGGO)algorithm is utilized for the purpose of feature ***,the graylag goose optimization(GGO)algorithm is utilized as a voting classifier as a decision algorithm to allocate demand to charging stations while taking into consideration the cost variable of traffic *** on the results of the analysis of variance(ANOVA),a comprehensive summary of the components that contribute to the observed variability in the dataset is *** results of the Wilcoxon Signed Rank Test compare the actual median accuracy values of several different algorithms,such as the voting GGO algorithm,the voting grey wolf optimization algorithm(GWO),the voting whale optimization algorithm(WOA),the voting particle swarm optimization(PSO),the voting firefly algorithm(FA),and the voting genetic algori
Deep learning methods have shown remarkable performance in intelligent fault diagnosis. However, traditional models often rely heavily on large amounts of labeled data and exhibit limited generalization capabilities a...
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The objective of this work is to address the challenges in managing and analyzing crowdsourcing in the information retrieval field. In particular, we would like to answer the following questions: (1) how to control th...
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