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23rd International Conference on Human-Computer Interaction (HCII)

作者： Yue, Fei Tian, Wenda Shidujaman, Mohammad Tsinghua Univ Acad Arts & Design Beijing 100030 Peoples R China

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.

关键词： Space design Child-playground interaction algorithm design Children psychology Interactive design

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Coupling the design of Benchmark with algorithm in Landscape-Aware Solver design 19

Coupling the Design of Benchmark with Algorithm in Landscape...

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Genetic and Evolutionary Computation Conference (GECCO)

作者： Dreo, Johann Doerr, Carola Semet, Yann Thales Res & Technol Palaiseau France Sorbonne Univ CNRS Paris France

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.

关键词： landscape-aware heuristics algorithm engineering algorithm design black-box optimization benchmarking benchmark design

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design and implementation of shortest travel path searching based on improved Dijkstra algorithm

Design and implementation of shortest travel path searching ...

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International Conference on Mechatronics and Applied Mechanics (ICMAM 2011)

作者： Mo, Taiping Zhao, Huihuang Mo, Wei Xidian Univ Dept Mech & Elect Engn Xidian 710126 Shanxi Peoples R China Hengyang Normal Univ Dept Comp Sci Hunan 421008 Peoples R China Guilin Univ Elect Technol Dept Elect Engn & Automat Guangxi 541004 Peoples R China

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.

关键词： Shortest path Dijkstra algorithm Tourism path search algorithm design

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A Form design Method of Children's Slide Based on BESO algorithm 24th

A Form Design Method of Children's Slide Based on BESO Algor...

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24th International Conference on Human-Computer Interaction, HCI International 2022 (HCII)

作者： Tian, Wenda Qin, Qianhang Tan, Meilun Guangxi Normal Univ Guilin 541000 Peoples R China Tsinghua Univ Art & Design Acad Beijing 100030 Peoples R China

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.

关键词： Children's slide Bionic morphology design algorithm design Interactive design

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algorithm and Architecture Co-design for High-Performance Digital Signal Processing

Algorithm and Architecture Co-Design for High-Performance Di...

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作者： Kim, Jung Kuk University of Michigan

学位级别：Ph.D., Doctor of Philosophy

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

关键词： X-ray computed tomography Spiking neural networks High-performance VLSI systems algorithm design Digital signal processing Machine learning Architecture co-design

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design of robust algorithm for machine learning based on deep search of outliers 6

Design of robust algorithm for machine learning based on dee...

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6th International Conference on Trends in Electronics and Informatics (ICOEI)

作者： Tang, Minghu Qinghai Minzu Univ Sch Comp Sci Xining 810007 Peoples R China

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.

关键词： Deep Learning Robust algorithm Machine Learning Deep Search algorithm design

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design and Optimization of Efficient Mesh Networking algorithm in Wireless Communication of Power Supply Station Area 3

Design and Optimization of Efficient Mesh Networking Algorit...

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3rd IEEE International Conference on Electrical Engineering, Big Data and algorithms, EEBDA 2024

作者： Luo, Shunhui Liu, Wei Tan, Afeng Ye, Han Wang, Yan Fuzhou Branch State Grid Information & Telecommunication Group Co.Ltd. Fujian Fuzhou350003 China Fujian Netpower Technology Development Co. Ltd. Fujian Fuzhou350003 China

ISBN: (纸本)9798350380989

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 amount of data. In this paper, mesh networking is the core, and it is studied and analyzed. On this basis, combined with the changing law of service characteristics and network delay characteristics, the network performance of single and dual-frequency networks in mesh networking structure is studied, which provides a theoretical basis for the research of network design, and the efficient mesh networking mode in wireless communication in power supply area is adjusted accordingly with the changes of environment and load, thus constructing an ideal mesh network scheme. In the throughput of Mesh cluster, the throughput of Mesh Device A is twice that of single AP. © 2024 IEEE.

关键词： algorithm design load change mesh networking power supply area wireless communication

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Tradeoffs in the empirical evaluation of competing algorithm designs

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ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE 2010年第1-2期60卷 65-89页

作者： Hutter, Frank Hoos, Holger H. Leyton-Brown, Kevin Univ British Columbia Vancouver BC V6T 1Z4 Canada

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.

关键词： algorithm design Empirical analysis algorithm configuration Parameter optimization

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Supremacy of trigonometric mutation strategy for efficient design of multiplier-less low-pass FIR filter using differential evolution algorithm

Supremacy of trigonometric mutation strategy for efficient d...

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IET Chennai Fourth International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2013)

作者： Abhijit Chandra Sudipta Chattopadhyay Indian Institute of Engineering Science and Technology Howrah West Bengal IN Jadavpur University Kolkata West Bengal IN

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.

关键词： Differential Evolution (DE) Error histogram Multiplier-less filter Sum of power of two (SPT) Trigonometric mutation algorithm design Filterability Filters algorithms FIR filters FARP2 gene PUF60 gene characteristic parameter design EFFICIENCY evolution Mutation Differential Communication Research MT

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design and Implementation of a Processing algorithm of Measurement Errors in Multi-Dimensional Data Acquisition

Design and Implementation of a Processing Algorithm of Measu...

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IEEE Russia Section Young Researchers in Electrical and Electronic Engineering Conference (EIConRus)

作者： Yi, Wenlong Gerasimov, Igor V. He, Huojiao Kuzmin, Sergey A. Jiangxi Agr Univ Sch Software Engn Nanchang Jiangxi Peoples R China St Petersburg Electrotech Univ LETI Fac Comp Sci & Technol St Petersburg Russia

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.

关键词： data measurement error processing dixon's q-test rice leaf algorithm design

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