A reasonable and healthy playground is an important guarantee for children to develop cognition through physical games. H However, due to the influence of early childhood psychology and the popularity of stereotypes, ...
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ISBN:
(纸本)9783030784683;9783030784676
A reasonable and healthy playground is an important guarantee for children to develop cognition through physical games. H However, due to the influence of early childhood psychology and the popularity of stereotypes, the existing industrialized production of children's play space has been defined and designed from the perspective of adults. With the help of interdisciplinary thinking and tools, based on the theory of child psychology and the circular game system, we propose a new method of children's playground design. At first, we reviewed the fallacies of the past children's playground design and their causes and summarized the elements of ideal children's playground construction. Secondly, we introduced the Physarum polycephalum algorithm and brought this algorithm to the path generation of different terrains and environments. Third, we analyze the path and introduce the amoeba bionic algorithm tool to determine the facilities, and then generate a series of play facilities. Finally, we brought this result into the case and discussed its potential applications in interactive design.
Following a general trend in artificial intelligence, Evolutionary Computation has, in recent years, witnessed substantial performance gains from landscape-aware selection and parameter tuning of algorithmic modules. ...
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ISBN:
(纸本)9781450367486
Following a general trend in artificial intelligence, Evolutionary Computation has, in recent years, witnessed substantial performance gains from landscape-aware selection and parameter tuning of algorithmic modules. Such approaches, however, are critically relying on suitable benchmarks, or training sets, that provide the appropriate blend of performance and generality. With this position paper we argue that, on a landscape analysis basis, the benchmark design problem will form a substantial part of the next-generation of automated, on-demand algorithm design principles.
The existing transportation service system in public travel route can not satisfy the people's actual travel need because of various technologies reasons. In our study, we set the tourist attractions as a vertex, ...
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ISBN:
(纸本)9783037853801
The existing transportation service system in public travel route can not satisfy the people's actual travel need because of various technologies reasons. In our study, we set the tourist attractions as a vertex, and simplified the traditional algorithm for complex network computing. Aim to improve the disadvantage of tradition Dijkstra algorithm, an improve algorithm was proposed to improve the path search efficiency. Then the improved Dijkstra algorithm was applied to tourism path search. The experimental results have illustrated that the improved Dijkstra algorithm can accomplish a better result and improve path search efficiency.
The BESO algorithm is a bionic algorithm often used in the design of architectural structures. With the help of the BESO algorithm, designers can design structures for buildings, bridges, etc. that are reasonably stre...
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ISBN:
(纸本)9783031217036;9783031217043
The BESO algorithm is a bionic algorithm often used in the design of architectural structures. With the help of the BESO algorithm, designers can design structures for buildings, bridges, etc. that are reasonably stressed and consume less material, thus reducing material losses. The forms generated by this algorithm often have a unique aesthetic and bionic character, and from the perspective of an industrial designer, this unique aesthetic is applicable to a wider range of product form designs. Therefore, we propose a new design method for children's slide morphology by combining the BESO algorithm. First, we summarize the fallacies and causes of previous children's slide designs, and summarize the elements of an ideal children's slide form design. Secondly, we review the cases of application of BESO algorithm in building structure design, summarize the shape characteristics of its generated forms, and bring the algorithm into the process of generating the forms of various types of children's slides to obtain different children's slide forms. Third, we optimize the design of different slide shapes generated by the algorithm, and then obtain a series of children's slide shape design solutions with unique aesthetics. Finally, we bring these structures into the case study and discuss the impact brought by human-computer interaction in the design process.
CMOS scaling has been the driving force behind the revolution of digital signal processing (DSP) systems, but scaling is slowing down and the CMOS device is approaching its fundamental scaling limit. At the same time,...
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CMOS scaling has been the driving force behind the revolution of digital signal processing (DSP) systems, but scaling is slowing down and the CMOS device is approaching its fundamental scaling limit. At the same time, advanced DSP algorithms are continuing to evolve, so there is a growing gap between the increasing complexities of the algorithms and what is practically implementable. The growing gap can be bridged by exploring the synergy between algorithm design and hardware design, using the so-called co-design techniques. In this thesis, algorithm and architecture co-design techniques are applied to X-ray computed tomography (CT) image reconstruction. Analysis of fixed-point quantization and CT geometry identifies an optimal word length, intrinsic parallelism, and a mismatch between the object and projection grids. A water-filling buffer is designed to resolve the grid mismatch, and is combined with parallel fixed-point arithmetic units to improve the throughput. The effects of the fixed-point arithmetic on the image quality are analyzed, and an analytical upper bound on the quantization error variance of the reconstructed image is derived. This investigation eventually leads to an out-of-order sectored processing architecture that reduces the off-chip memory access by three orders of magnitude, allowing for a throughput of 925M voxel projections/s at 200MHz on a Xilinx Virtex-5 FPGA. The co-design techniques are further applied to the design of spiking neural networks for sparse coding. Analysis of the neuron spiking dynamics leads to the optimal tuning of network size, spiking rate, and neuron update step size to keep the neuron spiking sparse and random. The resulting sparsity enables a bus-ring architecture to address routing complexity. The bus and ring sizes are optimized to achieve both high throughput and scalability. The architecture is demonstrated in a 65nm CMOS chip. The test chip demonstrates sparse feature extraction at a high throughput of 1.24G pi
design of robust algorithm for machine learning based on deep search of outliers is implemented in this study. The depth first search is a graph traversal method. The traversal process is essentially the process of fi...
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ISBN:
(纸本)9781665483285;9781665483292
design of robust algorithm for machine learning based on deep search of outliers is implemented in this study. The depth first search is a graph traversal method. The traversal process is essentially the process of finding the leading point of each vertex. It starts from a vertex of the graph, and the visited vertices are marked with seven visited marks. The statistical inference rules under this new theoretical system not only take into account the requirements for asymptotic performance, but also seek to obtain optimal results under the condition of existing limited information. By transforming the original problem into a dual problem, the computational complexity of the support vector machine no longer depends on the spatial dimension, but on the number of support vectors in the sample. For the robust system, the abnormal detection is considered for the application scenario. Through the Hadoop testing, the ideas are validated.
In recent years, there are many researches and applications on establishing wireless network monitoring around the private network of power supply station area, but most wireless communication methods transmit a small...
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We propose an empirical analysis approach for characterizing tradeoffs between different methods for comparing a set of competing algorithm designs. Our approach can provide insight into performance variation both acr...
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We propose an empirical analysis approach for characterizing tradeoffs between different methods for comparing a set of competing algorithm designs. Our approach can provide insight into performance variation both across candidate algorithms and across instances. It can also identify the best tradeoff between evaluating a larger number of candidate algorithm designs, performing these evaluations on a larger number of problem instances, and allocating more time to each algorithm run. We applied our approach to a study of the rich algorithm design spaces offered by three highly-parameterized, state-of-the-art algorithms for satisfiability and mixed integer programming, considering six different distributions of problem instances. We demonstrate that the resulting algorithm design scenarios differ in many ways, with important consequences for both automatic and manual algorithm design. We expect that both our methods and our findings will lead to tangible improvements in algorithm design methods.
In this communication, we have investigated the effect of trigonometric mutation strategy of Differential Evolution (DE) algorithm for the design of hardware efficient multiplier-less Finite duration Impulse Response ...
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ISBN:
(纸本)9781510804524
In this communication, we have investigated the effect of trigonometric mutation strategy of Differential Evolution (DE) algorithm for the design of hardware efficient multiplier-less Finite duration Impulse Response (FIR) filter. The resulting filter performance has been compared and properly analyzed with the one designed by rand/1 mutation technique of DE and other existing multiplier-less structures from various angles. Finally, the design efficiency of our proposed filter over the other models has been firmly established by listing a number of performance parameters.
This paper is an example of the acquisition of multidimensional data of Rice leaf. The authors shortly introduces their experiment program, measuring tools, and then design and implement an algorithm for processing me...
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ISBN:
(纸本)9781509048656
This paper is an example of the acquisition of multidimensional data of Rice leaf. The authors shortly introduces their experiment program, measuring tools, and then design and implement an algorithm for processing measurement errors based on Dixon's Q-Test. The paper provides an easy and effective instrument for reducing errors in our future data measure.
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