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TREE INVENTORY REGISTRATION SYSTEM 树木库存登记系统
Pub Date : 2020-11-23 DOI: 10.5194/isprs-archives-xliv-4-w3-2020-29-2020
K. Alpan, B. Şekeroğlu
Abstract. As human life develops in all aspects, nature is damaged and faced with the threat of extinction. With the increasing population, cities are expanding. The importance given to greenery and the ecological system is very low in these cities and they look like a concrete forest. However, urban trees are the most important and dominant vegetation materials that make important contributions to the city and the city people in terms of ecology, social, cultural, economic and aesthetics. A tree inventory system that will be created using GIS technologies will be very helpful in terms of both protecting the trees and tracking the forestation. In Nicosia, the capital of Northern Cyprus, the importance of the trees in the city has started to reflect on public awareness. In this study, with the GIS study carried out on the pilot region selected in Nicosia, trees were registered by using a tree registration form and ArcMap and shown on the system according to their types. The tree information stored in the database together with the data collected in 9 categories will make it easier to track trees and prevent them from being cut down. In addition, in the study, it was explained how the system should be converted into a smart city application with use of mobile technology.
摘要随着人类生活在各个方面的发展,大自然受到了破坏,面临着灭绝的威胁。随着人口的增加,城市也在扩张。这些城市对绿化和生态系统的重视程度很低,它们看起来就像一个混凝土森林。然而,城市树木是最重要和最主要的植被材料,在生态、社会、文化、经济和美学等方面为城市和城市人民做出了重要贡献。利用地理信息系统技术建立的树木清单系统将在保护树木和跟踪造林方面非常有帮助。在北塞浦路斯的首都尼科西亚,人们开始意识到树木在城市中的重要性。本研究在尼科西亚选定的试验区开展GIS研究,使用树木登记表和ArcMap对树木进行登记,并根据树木的类型在系统上显示。数据库中存储的树木信息和9类收集的数据将更容易跟踪树木,防止树木被砍伐。此外,在研究中,还解释了如何利用移动技术将该系统转换为智慧城市应用。
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引用次数: 2
USING GIS-BASED MULTI-CRITERIA DECISION ANALYSIS TECHNIQUES IN THE SMART CITIES 在智慧城市中使用基于gis的多标准决策分析技术
Pub Date : 2020-11-23 DOI: 10.5194/isprs-archives-xliv-4-w3-2020-383-2020
S. Sisman, A. C. Aydinoglu
Abstract. The population of cities is increasing rapidly nowadays, and therefore, rational use of urban resources is required. With developing technology, the amount of data obtained from different sources also increases. This situation sometimes causes complex geographic decision problems in cities where many factors must be evaluated simultaneously. Difficulties in this decision-making process can be overcome by using Multi-Criteria Decision Analysis (MCDA) techniques. In this study, how the different MCDA techniques can be used in geographic-based problems and the most commonly used methods were examined in this context. The case applications on the adaptation of GIS-based MCDA techniques in smart cities were examined and explained. All of the examined case applications were carried out in the Pendik district of Istanbul. The subjects of the investigated case applications are, respectively, the evaluation of land suitability for determining urban development areas, producing a land value map for the management of the urban real estate, parking areas selection for sustainable urban transportation planning, and prioritizing suitable/alternative car parking areas. This study provides an effective implementation methodology for the hybrid use of GIS-based MCDA techniques within the scope of sustainable urban land management practices in smart cities.
摘要当前,城市人口快速增长,合理利用城市资源势在必行。随着技术的发展,从不同来源获得的数据量也在增加。这种情况有时会在城市中造成复杂的地理决策问题,因为必须同时评估许多因素。采用多准则决策分析(MCDA)技术可以克服决策过程中的困难。在本研究中,研究了不同的MCDA技术如何用于基于地理的问题以及最常用的方法。分析和解释了基于gis的MCDA技术在智慧城市中的应用。所有审查的个案申请都是在伊斯坦布尔的彭迪克区进行的。调查案例应用的主题分别是确定城市发展区域的土地适宜性评估,城市房地产管理的土地价值图,可持续城市交通规划的停车区域选择,以及优先考虑合适/替代的停车区域。本研究为在智慧城市可持续城市土地管理实践范围内混合使用基于gis的MCDA技术提供了一种有效的实施方法。
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引用次数: 7
POST-EARTHQUAKE 3D BUILDING MODEL (LOD2) GENERATION FROM UAS IMAGERY: THE CASE OF VRISA TRADITIONAL SETTLEMENT, LESVOS, GREECE 地震后三维建筑模型(lod2)的生成:以希腊莱斯沃斯岛visa传统聚落为例
Pub Date : 2020-11-23 DOI: 10.5194/isprs-archives-xliv-4-w3-2020-165-2020
K. Chaidas, G. Tataris, N. Soulakellis
Abstract. In recent years 3D building modelling techniques are commonly used in various domains such as navigation, urban planning and disaster management, mostly confined to visualization purposes. The 3D building models are produced at various Levels of Detail (LOD) in the CityGML standard, that not only visualize complex urban environment but also allows queries and analysis. The aim of this paper is to present the methodology and the results of the comparison among two scenarios of LOD2 building models, which have been generated by the derivate UAS data acquired from two flight campaigns in different altitudes. The study was applied in Vrisa traditional settlement, Lesvos island, Greece, which was affected by a devastating earthquake of Mw = 6.3 on 12th June 2017. Specifically, the two scenarios were created by the results that were derived from two different flight campaigns which were: i) on 12th January 2020 with a flying altitude of 100 m and ii) on 4th February 2020 with a flying altitude of 40 m, both with a nadir camera position. The LOD2 buildings were generated in a part of Vrisa settlement consisted of 80 buildings using the footprints of the buildings, Digital Surface Models (DSMs), a Digital Elevation Model (DEM) and orthophoto maps of the area. Afterwards, a comparison was implemented between the LOD2 buildings of the two different scenarios, with their volumes and their heights. Subsequently, the heights of the LOD2 buildings were compared with the heights of the respective terrestrial laser scanner (TLS) models. Additionally, the roofs of the LOD2 buildings were evaluated through visual inspections. The results showed that the 65 of 80 LOD2 buildings were generated accurately in terms of their heights and roof types for the first scenario and 64 for the second respectively. Finally, the comparison of the results proved that the generation of post-earthquake LOD2 buildings can be achieved with the appropriate UAS data acquired at a flying altitude of 100 m and they are not affected significantly by a lower one altitude.
摘要近年来,三维建筑建模技术被广泛应用于导航、城市规划和灾害管理等领域,但大多局限于可视化目的。3D建筑模型在CityGML标准中以不同的细节级别(LOD)生成,不仅可以可视化复杂的城市环境,还可以进行查询和分析。本文的目的是介绍LOD2建筑模型的两种场景之间的比较方法和结果,这两种场景是由不同高度的两个飞行运动中获得的衍生UAS数据生成的。该研究应用于2017年6月12日遭受Mw = 6.3级破坏性地震影响的希腊莱斯沃斯岛visa传统定居点。具体来说,这两个场景是由两个不同飞行活动的结果创建的,这两个飞行活动分别是:i) 2020年1月12日,飞行高度为100米;ii) 2020年2月4日,飞行高度为40米,两者都采用了最低点相机位置。LOD2建筑是在vvisa定居点的一部分生成的,该定居点由80座建筑组成,使用建筑物的足迹,数字表面模型(dsm),数字高程模型(DEM)和该地区的正射影像图。之后,对两种不同场景的LOD2建筑进行了比较,比较了它们的体量和高度。随后,将LOD2建筑物的高度与各自地面激光扫描仪(TLS)模型的高度进行比较。此外,通过目视检查对LOD2建筑物的屋顶进行了评估。结果显示,在80幢LOD2楼宇中,第一种方案的高度和屋顶类型均能准确生成65幢,第二种方案的高度和屋顶类型分别为64幢。最后,对比结果表明,在100 m的飞行高度上,使用相应的UAS数据可以实现地震后LOD2建筑的生成,并且受较低高度的影响不明显。
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引用次数: 3
NETWORK ANALYSIS OF THE STACK OVERFLOW TAGS 网络分析堆栈溢出标签
Pub Date : 2020-11-23 DOI: 10.5194/isprs-archives-xliv-4-w3-2020-195-2020
Z. Edrees
Abstract. In this paper we made analysis for the stack overflow tags by using different criteria's in network science, one of the advantages of network analysis is that complex of connections can be made cleared, we started this work in first step by extracted data from dataset after that applied network concepts node degree distribution, node importance (centrality measures), also we provided a brief demonstration of how we can use graph network and tools to analyze semi-structured text as (Tags).
摘要在本文中,我们分析堆栈溢出的标签通过使用不同标准的网络科学、复杂网络分析的优点之一是可以清除的连接,我们开始这项工作的第一步提取数据从数据集后,应用网络概念节点度分布、节点重要性(中心措施),我们也提供了一个简短的演示如何使用图网络和工具来分析半结构化文本(标签)。
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引用次数: 0
CONCRETE RECYCLING: SOCIAL AND ENVIRONMENTAL TECHNICAL GAIN FOR SMART CITIES 混凝土回收:智慧城市的社会和环境技术收益
Pub Date : 2020-11-23 DOI: 10.5194/isprs-archives-xliv-4-w3-2020-309-2020
K. Naouaoui, A. Bouyahyaoui, T. Cherradi
Abstract. Recycled aggregate concrete is a new technology for using a developed type of concrete that combines technicality with the environmental and recycling aspect. It is based on the reuse of old demolished concrete in the format of new aggregates for new concrete. The main advantage of this concrete is the reuse of construction debris which is a huge management problem in addition to complying with countries' requirements for recycling rates. This technology will also solve the problem of shortage of natural resources from which many countries suffer. Thus, this new technology is at the forefront of research and improvement studies in order to identify the technical characteristics: Mechanical properties, formulation, durability ... of a new concrete based on these aggregates. Morocco, as a developing country, favors the promotion of new technologies. It is true that the Moroccan standardization does not specify recycled aggregates but the use is more and more common in the last decade mainly in road works. The structural elements of the building require further study in order to technically validate the choice of concrete.
摘要再生骨料混凝土是一种新型混凝土的新技术,它将技术性与环保性和可回收性相结合。它是基于旧拆除混凝土以新混凝土集料形式的再利用。这种混凝土的主要优点是建筑碎片的再利用,这是一个巨大的管理问题,除了符合国家对回收率的要求。这项技术还将解决许多国家面临的自然资源短缺问题。因此,这项新技术处于研究和改进研究的前沿,以确定技术特性:机械性能,配方,耐用性……一种基于这些骨料的新型混凝土。摩洛哥作为一个发展中国家,赞成推广新技术。摩洛哥的标准化确实没有具体说明回收骨料,但在过去十年中,主要在道路工程中越来越普遍地使用回收骨料。建筑的结构元素需要进一步研究,以便在技术上验证混凝土的选择。
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引用次数: 0
A REVIEW ON INDOOR LOCALIZATION WITH INTERNET OF THINGS 物联网室内定位研究综述
Pub Date : 2020-11-23 DOI: 10.5194/isprs-archives-xliv-4-w3-2020-121-2020
C. Basri, A. Elkhadimi
Abstract. The advancement of Internet of things (IoT) has revolutionized the field of telecommunication opening the door for interesting applications such as smart cities, resources management, logistics and transportation, wearables and connected healthcare. The emergence of IoT in multiple sectors has enabled the requirement for an accurate real time location information. Location-based services are actually, due to development of networks, sensors, wireless communications and machine learning algorithms, able to collect and transmit data in order to determine the target positions, and support the needs imposed by several applications and use cases. The performance of an indoor positioning system in IoT networks depends on the technical implementation, network architecture, the deployed technology, techniques and algorithms of positioning. This paper highlights the importance of indoor localization in internet of things applications, gives a comprehensive review of indoor positioning techniques and methods implemented in IoT networks, and provides a detailed analysis on recent advances in this field.
摘要物联网(IoT)的发展彻底改变了电信领域,为智能城市、资源管理、物流和运输、可穿戴设备和互联医疗等有趣的应用打开了大门。物联网在多个领域的出现使得对准确的实时位置信息的需求成为可能。由于网络、传感器、无线通信和机器学习算法的发展,基于位置的服务实际上能够收集和传输数据,以确定目标位置,并支持多个应用程序和用例的需求。室内定位系统在物联网网络中的性能取决于技术实现、网络架构、部署技术、定位技术和算法。本文强调了室内定位在物联网应用中的重要性,全面回顾了物联网网络中实现的室内定位技术和方法,并详细分析了该领域的最新进展。
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引用次数: 4
LEVERAGING MATURITY ASSESSMENT TO CHOOSE THE RIGHT APPLICATIONS FOR SMART CITIES: TURKEY’S APPROACH 利用成熟度评估为智慧城市选择正确的应用程序:土耳其的方法
Pub Date : 2020-11-23 DOI: 10.5194/isprs-archives-xliv-4-w3-2020-137-2020
H. Bayraktar, D. Y. Bayar, B. Kara, G. Bilgin
Abstract. Cities are facing numerous challenges because of the unprecedented growth of population all over the world. In this context, smart city stands out as a viable option to improve quality of life. Smart city, with its ability to transform the information into economic, social and environmental benefits, offers acquisitions in the fields of sustainable development, competitiveness and environmental sustainability. However, the cost of implementing and maintaining smart city applications on a large scale reveals the necessity to choose the right smart city application at the beginning of smart city transformation. In order to determine which smart city application should be used in smart city domain, the current situation and needs of the city should be analysed effectively. Maturity assessment can be used as a tool to understand the existing conditions of a city. In this study, Turkey's smart city approach will be addressed and Smart City Maturity Assessment Model of Turkey will be introduced with the preparation and implementation process. Consequently, the impact of the Smart City Maturity Assessment Model on selection of smart city applications will be discussed with the result of maturity assessment which is implemented on 4 cities of Turkey.
摘要由于全球人口的空前增长,城市面临着许多挑战。在这种背景下,智慧城市作为提高生活质量的可行选择脱颖而出。智慧城市具有将信息转化为经济、社会和环境效益的能力,在可持续发展、竞争力和环境可持续性领域提供了收购。然而,大规模实施和维护智慧城市应用的成本揭示了在智慧城市转型之初选择合适的智慧城市应用的必要性。为了确定智慧城市领域应该使用哪些智慧城市应用,需要对城市的现状和需求进行有效的分析。成熟度评价可以作为了解城市现状的工具。在本研究中,将讨论土耳其的智慧城市方法,并介绍土耳其的智慧城市成熟度评估模型,以及准备和实施过程。因此,智慧城市成熟度评估模型对智慧城市应用选择的影响将与土耳其4个城市实施的成熟度评估结果进行讨论。
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引用次数: 1
DETERMINING SMART INTERSECTIONS FOR SMART CITY APPLICATIONS USING MULTI-CRITERIA DECISION-MAKING TECHNIQUES 使用多标准决策技术确定智慧城市应用的智能路口
Pub Date : 2020-11-23 DOI: 10.5194/isprs-archives-xliv-4-w3-2020-405-2020
T. Urfalı, A. Eymen
Abstract. Urbanization process occurs unprecedentedly all round the world. Increase in population accompanies energy need, environmental issues and transportation problems. In order to manage urban growth which causes complication and to enhance the quality of life, we need to find new solutions. During the recent years, smart cities which solve their problems become popular thanks to integration between reformed technology and expanding cities. Primarily, it requires that smart city should be effective spatially. Due to these reasons, to have an investment to the area of requirement properly is extremely important with regard to cost and recovery in order to benefit from smart city applications ultimately and also to achieve high efficiency from this high budget investment. In this study, the criteria affecting the location of the intersections where the smart intersection system will be applied according to the current situation in Kayseri province by using the multi-criteria decision making method were examined. With these effective solutions, smart transportation will provide high functionality and a more efficient flow. At the same time, this study will help decision-makers in planning and investments.
摘要城市化进程在世界范围内前所未有地发生。人口的增长伴随着能源需求、环境问题和交通问题。为了控制城市增长带来的复杂性,提高生活质量,我们需要找到新的解决方案。近年来,由于改革后的技术与不断扩大的城市相结合,解决这些问题的智慧城市开始流行。首先要求智慧城市在空间上是有效的。由于这些原因,为了最终从智慧城市应用中受益,并从高预算投资中获得高效率,对需求领域进行适当的投资在成本和回收方面极其重要。本研究根据开塞利省的现状,采用多准则决策方法,对影响智能交叉口系统应用的交叉口位置的准则进行了研究。有了这些有效的解决方案,智能交通将提供更高的功能和更高效的流动。同时,本研究将有助于决策者进行规划和投资。
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引用次数: 0
A NOVEL GREEDY GENETIC ALGORITHM TO SOLVE COMBINATORIAL OPTIMIZATION PROBLEM 一种求解组合优化问题的贪心遗传算法
Pub Date : 2020-11-23 DOI: 10.5194/isprs-archives-xliv-4-w3-2020-117-2020
M. A. Basmassi, L. Benameur, J. Chentoufi
Abstract. In this paper, a modified genetic algorithm based on greedy sequential algorithm is presented to solve combinatorial optimization problem. The algorithm proposed here is a hybrid of heuristic and computational intelligence algorithm where greedy sequential algorithm is used as operator inside genetic algorithm like crossover and mutation. The greedy sequential function is used to correct non realizable solution after crossover and mutation which contribute to increase the rate of convergence and upgrade the population by improving the quality of chromosomes toward the chromatic number. Experiments on a set of 6 well-known DIMACS benchmark instances of graph coloring problem to test this approach show that the proposed algorithm achieves competitive results in comparison with three states of art algorithms in terms of either success rate and solution quality.
摘要本文提出了一种基于贪心序列算法的改进遗传算法来解决组合优化问题。本文提出的算法是一种启发式算法和计算智能算法的混合算法,在交叉和变异等遗传算法中使用贪婪序列算法作为算子。利用贪心序列函数对交叉和突变后的不可实现解进行校正,提高了种群的收敛速度,并通过向色数方向改善染色体的质量来实现种群的升级。在6个著名的DIMACS图着色问题的基准实例上进行的实验表明,与现有的三种算法相比,本文提出的算法在成功率和解质量方面都取得了相当的成绩。
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引用次数: 7
GENETIC ALGORITHM FOR OPTIMIZING DISTRIBUTION WITH ROUTE RESTRICTION CONSTRAINT DUE TO TRAFFIC JAMS 交通阻塞条件下路线限制约束下配送优化的遗传算法
Pub Date : 2020-11-23 DOI: 10.5194/isprs-archives-xliv-4-w3-2020-295-2020
N. Mouttaki, J. Benhra, G. Rguiga
Abstract. The Travelling Salesman Problem (TSP) is a classical problem in combinatorial optimization that consists of finding the shortest tour through all cities such that the salesman visits each city only one time and returns to the starting city. Genetic algorithm is one of the powerful ways to solve problems of traveling salesman problem TSP. The current genetic algorithm aims to take in consideration the constraints happening during the execution of genetic algorithm, such as traffic jams when solving TSP. This program has two important contributions. First one is proposing simple method into taking in consideration an inconvenient route linked to traffic jams. The second one is the use of closeness strategy during the initialization step, which can accelerate the execution time of the algorithm. The results of the experiments show that the improved algorithm works better than some other algorithms. The conclusion ends the analysis with recommendations and future works.
摘要旅行推销员问题(TSP)是组合优化中的一个经典问题,它包括寻找穿越所有城市的最短路线,使得推销员只访问每个城市一次并返回起始城市。遗传算法是求解旅行商问题TSP的有效方法之一。目前的遗传算法的目的是在求解TSP时考虑遗传算法执行过程中发生的约束,例如交通堵塞。这个程序有两个重要贡献。第一个是提出一个简单的方法,考虑到与交通堵塞有关的不方便的路线。二是在初始化阶段采用接近策略,可以加快算法的执行速度。实验结果表明,改进后的算法比其他算法效果更好。结语部分是分析的结语,并提出建议和今后的工作。
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引用次数: 1
期刊
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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