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14th International Space Syntax Symposium, SSS 2024

作者： Mara, Federico Hacar, Özge Öztürk Gülgen, Fatih Altafini, Diego Department of Energy Systems Territory and Construction Engineering University of Pisa Italy Department of Geomatic Engineering Yildiz Technical University Turkey Knowledge Discovery and Data Mining Laboratory ISTI-CNR Italy Welsh School of Architecture Cardiff University United Kingdom

ISBN: (纸本)9791256690329

The existence of strong correlations between pedestrian flows and Space Syntax metrics, whether in form of Axial Analysis (AA), Angular Segment Analysis (ASA), or Visibility Graph Analysis (VGA), has been extensively discussed. While AA and ASA tend to perform these estimations well, at both architectural and urban scales, critical aspects emerge in the VGA, especially when applied to micro-urban scales. Those can be summarized in the grids’ non-randomness and their spacing, the impact of variations in altitude and the heavy computational workloads required to model visual fields’ relationships in larger areas. Still, VGA is a valuable resource to micro-urban analyses, as it depicts details within areas characterized by wide open spaces or higher morphological complexity that are beyond line-based models’ capabilities, potentially enabling more precise insights into local movement logics. Considering this, the paper proposes an initial methodological discussion on the methods for estimating pedestrian flows at micro-urban scales, comparing different environment extensions, techniques, metrics, and extraction methods. Tests are performed within a 10.000m2 historical district at Pisa, Italy, which aligns with the spatial and morphological characteristics deemed suitable to VGA. Using spatial statistics, measures associated to pedestrian flows are correlated to observed pedestrian traffic passing through 10 gates in a span of three days to highlight what measure gives a better response. This research encourages the exploration of VGA within micro-urban contexts and can be useful to enable a finer-grained comprehension of social logics in space, as many VGA measures seem to be suitable to comprehend pedestrian flows hierarchies. © 14th International Space Syntax Symposium, SSS 2024.

关键词： Syntactics

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Exploring Spatial Crime Impedance to highlight risky places: A Space Syntax-based environmental approach to urban security 14

Exploring Spatial Crime Impedance to highlight risky places:...

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14th International Space Syntax Symposium, SSS 2024

作者： Mara, Federico Hacar, Müslüm Hacar, Özge Öztürk Altafini, Diego Cutini, Valerio Department of Energy Systems Territory and Construction Engineering University of Pisa Italy Department of Geomatic Engineering Yildiz Technical University Turkey Knowledge Discovery and Data Mining Laboratory ISTI-CNR Italy Welsh School of Architecture Cardiff University United Kingdom

ISBN: (纸本)9791256690329

The environmental approach to urban security acknowledges the importance that spatial and social dimensions of urban environments have for both real and perceived security, emphasizing the need to understand how urban spaces influence human behaviour. Space Syntax offers insights into human behavioural patterns in space by examining the spatial configuration of places and identifying individuals' movement patterns, representing an asset to uncovering underlying spatial dynamics in criminal behaviour, both at the urban and micro-urban scale. The association between Space Syntax and crime patterns is not new, however additional steps should be taken to associate it to environmental criminological theories, which deconstruct the components that contribute to crime occurrence. Considering this, the research delves into the existing correlations between crime distributions and intrinsic spatial properties derived from Space Syntax, using the historic centre of Pisa, Italy, as a case study. Two objectives are set: (1) identifying a comprehensive set of significant measures to explore crime phenomena through a discussion of previous research and an examination of the logic of criminology theories;and (2) to develop and discuss a methodology for linking Space Syntax metrics with crime distribution patterns, and assess correlations between space and crimes, thus identifying risky areas within the urban context. The direction and the strength of correlations between certain type of crime and specific attributes of the environment suggests the existence of a "Spatial Crime Impedance" property: a measure of natural resistance that the urban environment, considering only its spatial configuration and physical layout, opposes to criminal activities. © 14th International Space Syntax Symposium, SSS 2024.

关键词： Syntactics

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Measuring China's Real Estate Financial Innovation from the Perspective of Government,Enterprises and the Public:Index Compilation and Its Spatial-Temporal Characteristics Analysis

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Journal of Systems Science and Information 2023年第1期11卷 1-34页

作者： Jichang DONG Lijun YIN Xiaoting LIU Xiuting LI School of Economics and Management University of Chinese Academy of SciencesBeijing 100190China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of SciencesBeijing 100190China China Construction Second Engineering Bureau Co.Ltd Beijing 100070China

In recent years,China has witnessed the rapid development in housing finance,and there have emerged constantly real estate finance innovations;however,there exists no relevant index for measuring the innovations of China's real estate *** on the perspectives of the governments,enterprises and the public,this paper constructs the"innovation index of real estate finance"on a quarterly basis from 2009 to 2019,with the method of empowerment which combines the subjective method(analytic hierarchy process)and the objective one(range coefficient method).It clearly and concretely depicts the innovations in housing finance and the related temporal-spatial characteristics in China since the outbreak of the financial crisis in *** index covers 30 provinces,autonomous regions and municipalities directly under the central government,and analyzes its temporal and spatial *** findings show that there exist a strong spatial autocorrelation and a big regional difference in innovations.

关键词： governments enterprises public real estate finance innovation

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Continuous and generalized visual odometry based on FLANN_PSC-RANSAC_LSTM

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Journal of Intelligent and Fuzzy Systems 2024年第1-2期47卷 15-28页

作者： Li, Dengao Feng, Ran Wu, Fanming Zhao, Jinhua Zhao, Jumin College of Computer Science and Technology College of Data Science Taiyuan University of Technology Shanxi Taiyuan China College of Electronic Information and Optical Engineering Taiyuan University of Technology Shanxi Taiyuan China Key Laboratory of Big Data Fusion Analysis and Application of Shanxi Province Taiyuan University of Technology Shanxi Taiyuan China Intelligent Perception Engineering Technology Center of Shanxi Taiyuan China

In the field of simultaneous localization and mapping (SLAM), visual odometry (VO) always has great application prospects. In recent years, with the progress in the field of machine learning, methods based on neural networks are constantly being updated and applied. In this paper, we propose a continuous and generalized monocular visual odometry method based on features and neural networks. First, the feature information of adjacent image sequences is extracted by matching and troubleshooting algorithm (FLANN_PSC-RANSAC), then it and the corresponding six-degree-of-freedom information are simultaneously input into the long short-term memory artificial neural network (LSTM) for model construction, which not only ensures the reliability of the mode but also eliminates the influence of illumination on the data. In the real environment test, it has been effectively proved in terms of trajectory recovery accuracy and generalization ability to different environments and different illuminations. © 2024 - IOS Press. All rights reserved.

关键词： Long short-term memory

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Optimization of iron ore blending based on replacing Australian low alumina limonite

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Journal of Iron and Steel Research International 2023年第9期30卷 1675-1686页

作者： Bin Li Heng Zhou Jian Huang Zong-wang Zhang Xue-feng She Jian-fang Wang Sheng-li Wu Ming-yin Kou State Key Laboratory of Advanced Metallurgy School of Metallurgical and Ecological EngineeringUniversity of Science and Technology BeijingBeijing 100083China Shougang Jingtang Iron and Steel Co. Ltd.Tangshan 063200HebeiChina Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical EngineeringUniversity of Science and Technology BeijingBeijing 100083China Delong Iron and Steel Co. Ltd.Xingtai 054009HebeiChina

Mauritanian iron ore powder(OM)has advantages of high iron grade,low aluminum content,and low loss on ignition,which can be used as a new mineral to replace low alumina limonite that has been exhausted in ***,it will have a certain negative impact on sintering because of its high SiO_(2) *** mechanism of SiO_(2) content affecting the sintering behavior was first studied through FactSage ***,the liquid fluidity,penetration,and high-temperature performance of different iron ore powders were ***,the optimization of ore blending structure was studied by the micro-sintering method and the sinter pot *** results show that the increase in SiO_(2) content can reduce the assimilation *** low penetration of OM can lead to an increase in the amount of liquid,and the high SiO_(2) content of OM increases the viscosity of the liquid *** is more,the increase in SiO_(2) also increases the formation of silicate and fayalite phase and inhibits the formation of silico-ferrite of calcium and aluminum(SFCA).To optimize ore blending structure,OM and the low SiO_(2) powder OD from Australia were used together,which improves the content of SFCA by 2.04%and decreases the contents of calcium silicate and fayalite by 0.63%and 4.99%,*** results of the sinter pot test indicated that the properties of sinter have been improved.

关键词： Mauritanian iron ore powder Liquid fluidity Penetration Mineral composition Sintering Ore blending Low alumina limonite

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From streets to screens: A deep dive into urban configuration and Google reviews 14

From streets to screens: A deep dive into urban configuratio...

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14th International Space Syntax Symposium, SSS 2024

作者： Hacar, Müslüm Hacar, Özge Öztürk Altafini, Diego Pappalardo, Luca Gülgen, Fatih Cutini, Valerio Department of Geomatic Engineering Yildiz Technical University Turkey Department of Energy Systems Territory and Construction Engineering University of Pisa Italy Knowledge Discovery and Data Mining Laboratory ISTI-CNR Italy Welsh School of Architecture Cardiff University United Kingdom

ISBN: (纸本)9791256690329

The experiences of urban visitors are frequently captured and shared on various websites and social platforms through reviews and ratings. These "digital footprints" help us understand what visitors think about a certain place. High visitor traffic may stem from the urban layout and configuration, such as the importance of a street, the building characteristic, or the location of the place within an urban settlement. Hence, these digital footprints are shaped by a complex interplay of spatial, emotional, self-organizational, and socio-behavioural factors. This presents us with compelling research questions: To what extent does urban configuration influence these digital footprints? And how exactly does this dynamic play out? This research examines the intricate relationship between urban spatial characteristics and digital footprints in the realm of urban tourism. Our approach taps into Space Syntax metrics and associates them with places, extracted as points of interest from Google Maps API. This framework helps ascertain what is the linkage between urban configuration and visitors’ digital activities, to reveal another layer of social behaviour within the cities. Our research centred on the historic city of Sassi di Matera, Italy, distinguished by its cave dwellings and intricate pathways. Initial findings from our research present significant correlations between Space Syntax metrics and visitors’ reviewing activities at specific places. By correlating the configurational patterns with reviews and ratings, we observed that these places are influenced by surrounding space, and that this situation varies depending on the type of place. © 14th International Space Syntax Symposium, SSS 2024.

关键词： Syntactics

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Machine Learning for Signal Demodulation in Underwater Wireless Optical Communications

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China Communications 2024年第5期21卷 297-313页

作者： Ma Shuai Yang Lei Ding Wanying Li Hang Zhang Zhongdan Xu Jing Li Zongyan Xu Gang Li Shiyin Department of Strategic and Advanced Interdisciplinary Research Peng Cheng LaboratoryShenzhen 518055China School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China Data-driven Intelligent Information System Laboratory Shenzhen Research Institute of Big DataShenzhen 518172China Ocean College Zhejiang UniversityZhoushan 316021China State Key Laboratory of Millimeter Waves Southeast UniversityNanjing 210096China

The underwater wireless optical communication(UWOC)system has gradually become essential to underwater wireless communication *** other existing works on UWOC systems,this paper evaluates the proposed machine learningbased signal demodulation methods through the selfbuilt experimental *** on such a platform,we first construct a real signal dataset with ten modulation ***,we propose a deep belief network(DBN)-based demodulator for feature extraction and multi-class feature *** also design an adaptive boosting(Ada Boost)demodulator as an alternative scheme without feature filtering for multiple modulated ***,it is demonstrated by extensive experimental results that the Ada Boost demodulator significantly outperforms the other *** also reveals that the demodulator accuracy decreases as the modulation order increases for a fixed received optical power.A higher-order modulation may achieve a higher effective transmission rate when the signal-to-noise ratio(SNR)is higher.

关键词： AdaBoost DBN machine learning signal demodulation

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Cutting Learned Index into Pieces: An In-depth Inquiry into Updatable Learned Indexes

Cutting Learned Index into Pieces: An In-depth Inquiry into ...

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International Conference on data engineering

作者： Jiake Ge Boyu Shi Yanfeng Chai Yuanhui Luo Yunda Guo Yinxuan He Yunpeng Chai Key Laboratory of Data Engineering and Knowledge Engineering MOE China School of Information Renmin University of China China

Numerous high-performance updatable learned indexes have recently been designed to support the writing requirements in practical systems. Researchers have proposed various strategies to improve the availability of updatable learned indexes. However, it is unclear which strategy is more profitable. Therefore, we deconstruct the design of learned indexes into multiple dimensions and in-depth evaluate their impacts on the overall performance, respectively. Through the in-depth exploration of learned indexes, we reckon that the approximation algorithm is the most crucial design dimension for improving the performance of the learned indexes rather than the popular works that focus on the learned index structure. Moreover, this paper makes a comprehensive end-to-end evaluation based on a high-performance key-value store to answer people’s concerns about which learned index is better and whether learned indexes can outperform traditional ones. Finally, according to end-to-end and in-depth evaluation results, we give some constructive suggestions on designing a better learned index in these dimensions, especially how to design an excellent approximate algorithm to improve the lookup and insertion performance of learned indexes.

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Research and analysis of psychological data based on machine learning methods

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International Journal of Wireless and Mobile Computing 2022年第1期22卷 1-8页

作者： Chen, Guangshun Lv, Wei Ma, Junwei Liang, Yanchun Zhuhai Lab. of Key Lab. of Symbol Computation and Knowledge Engineering of Ministry of Education Zhuhai College of Jilin University Jilin Zhuhai China Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education College of Computer Science and Technology Jilin University Jilin Changchun China

The integration of psychology and computer science has become the mainstream contemporary research method on psychological data. Weibo, China's largest open platform for communication and information sharing between users, has many emotional contents hidden in its data. According to the current trend, the Weibo data are segmented by machine learning to obtain a psychological portrait of Weibo users. This design uses Long and Short-Term Memory (LSTM) networks and Convolutional Neural Networks (CNNs) to perform sentiment classification on Weibo data. The classification results are analysed using word frequency analysis and the Latent Dirichlet Allocation (LDA) model to obtain portraits of Weibo users' sentiment and an analysis of the results. The results are displayed in the form of word clouds. According to the clustering results of the word clouds, the main factors affecting different polar emotions can be analysed. © 2022 Inderscience Enterprises Ltd.. All rights reserved.

关键词： Statistics

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Unveiling the planar deformation mechanisms for improved formability in pre-twinned AZ31 Mg alloy sheet at warm temperature

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Journal of Magnesium and Alloys 2023年第12期11卷 4659-4678页

作者： Xiaohuan Pan Lifei Wang Pengbin Lu Hua Zhang Guangsheng Huang Liuwei Zheng Bin Xing Weili Cheng Hongxia Wang Wei Liang Kwang Seon Shin Shanxi Key Laboratory of Advanced Magnesium-Based Materials College of Materials Science and EngineeringTaiyuan University of TechnologyTaiyuan 030024China National Engineering Laboratory for Industrial Big-data Application Technology Chongqing Innovation Center of Industrial Big-Data Co.Ltd.Chongqing 400707China School of Materials Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Institute for Advanced Studies in Precision Materials Yantai UniversityYantai 264005China National Engineering Research Center for Magnesium Alloys College of Materials Science&EngineeringChongqing UniversityChongqing 400044China Magnesium Technology Innovation Center School of Materials Science and EngineeringSeoul National University1 Gwanak-roGwanak-guSeoul 08826South Korea

To investigate the role of pre-twins in Mg alloy sheets during warm planar deformation,the stretch forming is conducted at 200℃.Results suggest the formability of the pre-twinned AZ31 Mg alloy sheet is enhanced to 11.30 *** mechanisms for the improved formability and the deformation behaviors during the planar stretch forming are systematically investigated based on the planar stress *** Schmid factor for deformation mechanisms are calculated,the results reveal that planar stress states extremely affect the Schmid factor for{10-12}*** detwinning is activated and the prismatic slip is enhanced in the pre-twinned sheet,especially under the planar extension stress state in the outer ***,the thickness-direction strain is accommodated *** dynamic recrystallization(DRX)type is continuous DRX(CDRX)regardless of the planar stress ***,the CDRX degree is greater under the planar extension stress *** twin lattices deviate from the perfect{10-12}twinning relation due to the planar compression stress state and the *** basal texture is weakened when the planar stress state tends to change the texture components.

关键词： AZ31 Mg alloy sheet Planar stretch forming Planar stress states Continuous dynamic recrystallization {10-12}tensile twinning

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