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Xianjin He, Min Deng and Guowei Luo
Recognizing building group patterns is fundamental to numerous fields, such as urban landscape evaluation, social analysis, and map generalization. Despite the increasing number of algorithms available for building group pattern recognition, there is sti...
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Xiao Wang and Dirk Burghardt
Building groups with special patterns are common layouts in urban settlement areas, which should be carefully generalized. Typification is considered as an appropriate operator to generalize building groups with grid patterns. As an important operator in...
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Wende Li, Haowen Yan, Xiaomin Lu and Yilang Shen
Building displacement is a common operation to resolve the spatial conflicts between map features, and it has important theoretical value and practical application significance for multi-scale mapping. The prerequisite for a successful displacement opera...
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Linghui Kong, Haizhong Qian, Yuqing Wu, Xinyu Niu, Di Wang and Zhekun Huang
Building outlines are important for emergency response, urban planning, and change analysis and can be quickly extracted from remote sensing images and raster maps using deep learning technology. However, such building outlines often have irregular bound...
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Renjian Zhai, Anping Li, Jichong Yin, Jiawei Du and Yue Qiu
Building simplification is an important research area in automatic map generalization. Up to now, many approaches have been proposed by scholars. However, in the continuous transformation of scales for buildings, keeping the main shape characteristics, a...
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Kadir Sahbaz and Melih Basaraner
When generalizing a group of objects, displacement is an essential operation to resolve the conflicts arising between them due to enlargement of their symbol sizes and reduction of available map space. Although there are many displacement methods, most o...
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Xiongfeng Yan, Huan Chen, Haoran Huang, Qian Liu and Min Yang
Building typification is of theoretical interest and practical significance in map generalization. It aims to transform an initial set of buildings to a subset, while maintaining the essential distribution characteristics and important individual buildin...
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Zhiwei Wei, Yang Liu, Lu Cheng and Su Ding
Several algorithms have been developed to simplify buildings based on their local structure in past decades. However, different local structures are defined for certain purposes, and no algorithm can appropriately simplify all buildings. We propose a com...
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Wende Li, Tinghua Ai, Yilang Shen, Wei Yang and Weilin Wang
Owing to map scale reduction and other cartographic generalization operations, spatial conflicts may occur between buildings and other features in automatic cartographic generalization. Displacement is an effective map generalization operation to resolve...
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Yu Feng, Frank Thiemann and Monika Sester
Cartographic generalization is a problem, which poses interesting challenges to automation. Whereas plenty of algorithms have been developed for the different sub-problems of generalization (e.g., simplification, displacement, aggregation), there are sti...
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Xianjin He, Xinchang Zhang and Jie Yang
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Hesheng Huang, Qingsheng Guo, Yageng Sun and Yuangang Liu
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Lin Wang, Qingsheng Guo, Yuangang Liu, Yageng Sun and Zhiwei Wei
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Louis Closson, Christophe Cérin, Didier Donsez and Jean-Luc Baudouin
This paper aims to provide discernment toward establishing a general framework, dedicated to data analysis and forecasting in smart buildings. It constitutes an industrial return of experience from an industrialist specializing in IoT supported by the ac...
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Jaehyun Lee, Jinho Kim and Woong Ko
Electric load forecasting for buildings is important as it assists building managers or system operators to plan energy usage and strategize accordingly. Recent increases in the adoption of advanced metering infrastructure (AMI) have made building electr...
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Yi Xiao, Tinghua Ai, Min Yang and Xiang Zhang
As a result of the increasing popularity of indoor activities, many facilities and services are provided inside buildings; hence, there is a need to visualize points-of-interest (POIs) that can describe these indoor service facilities on indoor maps. Ove...
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Mazen A. Al-Sinan, Abdulaziz A. Bubshait and Zainab Aljaroudi
Recent advancements in machine learning (ML) applications have set the stage for the development of autonomous construction project scheduling systems. This study presents a blueprint to demonstrate how construction project schedules can be generated aut...
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Baydaa Hashim Mohammed, Hasimi Sallehuddin, Elaheh Yadegaridehkordi, Nurhizam Safie Mohd Satar, Afifuddin Husairi Bin Hussain and Shaymaa Abdelghanymohamed
The process of integrating building information modeling (BIM) and Internet of Things (IoT)-based data sources is a recent development. As a generalization, BIM and IoT data provide complementary perspectives on the project that complement each other?s c...
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Ali Belmeziti, Olivier Coutard and Bernard De Gouvello
The practice of rainwater harvesting (RWH) is spreading rapidly in urban areas. This article studies the impact of a possible generalization of this practice for municipalities by proposing a new method to quantify the potential for potable water savings...
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Yu Cui, Zishang Zhu, Xudong Zhao, Zhaomeng Li and Peng Qin
Conventional building energy models (BEM) for heating and cooling energy-consumption prediction without calibration are not accurate, and the commonly used manual calibration method requires the high expertise of modelers. Bayesian calibration (BC) is a ...
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