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2019 IEEE International Smart Cities Conference (ISC2)最新文献

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Business Intelligence and EDA Based Architecture for Interoperability of E-Government Data Services 基于商业智能和EDA的电子政务数据服务互操作性体系结构
Pub Date : 2019-10-01 DOI: 10.1109/ISC246665.2019.9071769
Oumkaltoum Barakat, M. Idrissi, Mahmoud El Banany, O. Beqqali
At present, with the advent of ICTs, e-government systems are undergoing an important evolution which consists of providing fluent and simple services to their citizens. One of the egovernment implementations is to create a form of interoperability relationship between different services at different levels: national level, state or district government level. However, government sectors face many challenges in using e-government services and adapting them to the needs of citizens as data and applications continue to increase, as well as migration challenges of integration and interoperability of these data. Therefore, it is necessary to find a solution to overcome these challenges. Complex Event Processing (CEP) has emerged as a new paradigm for event-driven architecture (EDA) that can ensure interoperability and bring efficiency to an organization. At the same time, every government strives to become smart and increasingly interoperable and aims to help build a smart city through the use of a Business Intelligence (BI) solution and adopting new technologies. This paper proposes a hybrid approach for e-government interoperability and data integration using a combination of Datawarehouse and EDA-based approach. The purpose of this combination is to interconnect the data and applications of e-Government that are separated and isolated in order to communicate with each other at different government levels.
现时,随着资讯及通讯科技的出现,电子政府系统正经历一场重要的演变,为市民提供流畅和简单的服务。电子政务的实现之一是在不同级别的不同服务之间创建一种形式的互操作性关系:国家级别、州或地区政府级别。然而,随着数据和应用程序的不断增加,政府部门在使用电子政务服务和使其适应公民需求方面面临许多挑战,以及这些数据的集成和互操作性的迁移挑战。因此,有必要找到一个解决方案来克服这些挑战。复杂事件处理(CEP)已经成为事件驱动架构(EDA)的一种新范例,它可以确保互操作性并为组织带来效率。与此同时,每个政府都在努力变得智能和越来越多的互操作性,并旨在通过使用商业智能(BI)解决方案和采用新技术来帮助建立一个智慧城市。本文提出了一种基于数据仓库和电子数据中心的方法相结合的电子政务互操作性和数据集成的混合方法。这种组合的目的是将分离和隔离的电子政务数据和应用程序互连起来,以便在不同的政府级别上相互通信。
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引用次数: 3
vCanteen: A Smart Campus Solution to Elevate University Canteen Experience vCanteen:提升大学食堂体验的智慧校园解决方案
Pub Date : 2019-10-01 DOI: 10.1109/ISC246665.2019.9071672
Boonsita Vatcharakomonphan, Chompakorn Chaksangchaichot, Natnapin Ketchaikosol, Tanapong Tetiranont, Tharit Chullapram, Pattabhum Kosittanakiat, Peeramit Masana, Phirawat Chansajcha, Satsawat Suttawuttiwong, Supakit Thamkittikhun, Samatchaya Wattanachindaporn, Akekamon Boonsith, C. Ratanamahatana, N. Prompoon, M. Pipattanasomporn
The persistent problem circulating around various university canteens has always been about high crowd density during lunch hours. To efficiently tackle this issue, a platform called “vCanteen” has been developed that integrates an online food ordering system, a virtual queuing system, together with a machine learning-based crowd estimation system. vCanteen aims at reducing queuing time when ordering food, and allowing users to know the estimated crowd density in a university canteen in real-time. The crowd estimation system has been developed using a multi-column convolutional neural network (MCNN). This paper discusses the vCanteen prototype that was developed and tested at the canteen in the Faculty of Engineering, Chulalongkorn University, Thailand. The description of the crowd estimation system is provided in details including error evaluation and lessons learned.
在各所大学的食堂里,一直存在的问题是午餐时间人群密度过高。为了有效地解决这个问题,一个名为“vCanteen”的平台已经开发出来,该平台集成了在线订餐系统、虚拟排队系统和基于机器学习的人群估计系统。vCanteen旨在减少订餐时的排队时间,并让用户实时了解大学食堂的估计人群密度。利用多列卷积神经网络(MCNN)开发了人群估计系统。本文讨论了在泰国朱拉隆功大学工程学院食堂开发和测试的vCanteen原型。对人群估计系统进行了详细的描述,包括误差评估和经验教训。
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引用次数: 3
Small steps towards a smart city: Mobile application that provides options for the use of public transport in Juarez City. 迈向智慧城市的一小步:为华雷斯市的公共交通提供选择的移动应用程序。
Pub Date : 2019-10-01 DOI: 10.1109/ISC246665.2019.9071728
L. Holguín, C. A. O. Zezzatti, Víctor M. Larios-Rosillo, Edgar Cossio, Ma. Roció Maciel Arellano, G. R. Zárate
This project developed an Android application to provide users with options on which public transportation routes to use in Juarez City. To make this possible, we went to request information from the various lines of the city to the Transportation Office of the State Government. Subsequently, various tools were developed to support the process of capturing routes, editing, and obtaining intersections between them. The solution consisted of a client-server architecture, where the client is an application for mobile devices, which is used by users, and the server is the application responsible for returning possible routes to customers. We achieve this with the help of Quadtree algorithms to partition the space and thus obtain coordinates of routes near the origin and destination. It results in an efficient manner using Dijkstra for the search of roads using the routes near the beginning and the destination. Finally, to validate its usefulness, a survey was conducted to UACJ students, which consisted of three sections, the first on personal data of the respondent, the second on the use of public transport and the third about the Android application.
该项目开发了一个Android应用程序,为用户提供在华雷斯市使用公共交通路线的选择。为了实现这一目标,我们向州政府交通办公室询问了该市各条线路的信息。随后,开发了各种工具来支持捕获路线,编辑和获取它们之间的交集的过程。该解决方案由客户机-服务器体系结构组成,其中客户机是用于移动设备的应用程序,供用户使用,而服务器是负责向客户返回可能路由的应用程序。我们利用四叉树算法对空间进行划分,从而得到原点和目的地附近的路线坐标。这使得使用Dijkstra搜索靠近起点和终点的路径成为一种有效的方式。最后,为了验证其有效性,对UACJ学生进行了一项调查,该调查由三个部分组成,第一部分是关于受访者的个人数据,第二部分是关于公共交通的使用,第三部分是关于Android应用程序。
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引用次数: 3
An Efficient Scheme for Dynamic Car Relocation in Free-Floating Car-Sharing Systems 自由浮动共享汽车系统中汽车动态迁移的有效方案
Pub Date : 2019-10-01 DOI: 10.1109/ISC246665.2019.9071681
D. Kypriadis, C. Konstantopoulos, G. Pantziou, D. Gavalas
In this paper, a new scheme for dynamic relocation in free floating car sharing systems is proposed. First, a heuristic approach is presented for designing a car relocation plan which achieves a better balance between supply and demand in such a system within strict time limits. As being heuristic, the algorithm is fast, further aiding in maintaining fast responsiveness in dynamic scenarios. Furthermore, an on-fly-correction of the original relocation plan is also presented for dealing with changes in car distribution happening in the system due to its concurrent use by the users. Thus, the relocation plan is still effective even in the case that the predictions of future user movements are not accurate.
本文提出了一种自由浮动共享汽车系统动态迁移的新方案。首先,提出了一种启发式的方法来设计在严格的时间限制下,在系统中实现更好的供需平衡的汽车搬迁方案。由于该算法是启发式的,因此速度很快,进一步有助于在动态场景中保持快速响应。此外,针对系统中由于用户同时使用而导致的车辆分布变化,提出了对原搬迁方案的动态修正。因此,即使对未来用户迁移的预测不准确,搬迁计划仍然有效。
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引用次数: 0
ISC2 2019 Program
Pub Date : 2019-10-01 DOI: 10.1109/isc246665.2019.9071792
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引用次数: 0
Evaluation of urban congestion between the qualitative and quantitative approach 评价城市拥堵的定性与定量方法之间的关系
Pub Date : 2019-10-01 DOI: 10.1109/ISC246665.2019.9071647
Adnane Founoun, A. Hayar, A. Haqiq
This paper presents an evaluation of the urban mobility with a use of the textual data recorded at the level of transit spaces “Example: Hotel” and quantitative data recorded via traffic management applications.In this paper we seek to have a look at what level the correlation between collected data is present, and how we can improve planning and decisions of urban mobility via the results of open source applications.
本文通过使用在交通空间层面记录的文本数据(例如:酒店)和通过交通管理应用程序记录的定量数据,对城市流动性进行了评估。在本文中,我们试图了解所收集数据之间的相关性,以及我们如何通过开源应用程序的结果改进城市交通的规划和决策。
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引用次数: 1
HERMES: a Tool for Mesoscopic Simulation of Advanced Traveller Information Systems HERMES:先进旅行者信息系统介观模拟工具
Pub Date : 2019-10-01 DOI: 10.1109/ISC246665.2019.9071673
A. Cruz, E. Carneiro, Xavier Fontes, Zafeiris Kokkinogenis, R. Rossetti
Advanced Traveller Information Systems (ATIS) have seen a steady increase in popularity in the last decades among urban users. By providing travellers with relevant information, these systems have the ability to considerably improve traffic flow, but are limited by their penetration rate among the city’s population. In this work we put forward HERMES1, a tool to facilitate the evaluation of road networks through simulation with different ATIS and with different levels of information percolation among users. The usefulness of such a tool stems from the quantification of the extent to which an ATIS can improve total travel time and road utilisation by means of experimenting with simulation scenarios. This tool operates at a mesoscopic level, in which single users may be represented independently from each other, nonetheless are rather considered to operate at their macroscopic interactions with the network. We also illustrate example use cases for the tool on the motorway network between the Portuguese cities of Lisbon and Porto.
在过去的几十年里,先进的旅行者信息系统(ATIS)在城市用户中越来越受欢迎。通过向旅行者提供相关信息,这些系统有能力大大改善交通流量,但受到城市人口普及率的限制。在这项工作中,我们提出了HERMES1,这是一个通过模拟不同ATIS和不同用户之间信息渗透水平来促进道路网络评估的工具。这种工具的有用之处在于,通过模拟场景的试验,量化了交通运输系统可以改善总旅行时间和道路利用率的程度。该工具在中观层面上运行,其中单个用户可以彼此独立地表示,但更被认为是在与网络的宏观交互中运行。我们还举例说明了该工具在葡萄牙城市里斯本和波尔图之间的高速公路网上的用例。
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引用次数: 0
Swarm UAV Communications with Diversity and Delay Trade-off using Mobile Caching 基于移动缓存的蜂群无人机分集与时延权衡通信
Pub Date : 2019-10-01 DOI: 10.1109/ISC246665.2019.9071678
Weisi Guo
Swarm unmanned aerial vehicles (UAVs) are critical to a number of smart city applications, such as distributed sensing and disaster relief. Connected UAVs often operate in complex environments where the communication channels suffer fading loss. Achieving full spatial diversity is important for reliable communication, but cannot be guaranteed at any given time. Here, we show that delay tolerant transmission via caching can enable full diversity. To achieve this, we improve the decode-and-forward cooperative relaying scheme, where the number of successful relay UAVs increases with each additional cooperation stage. We demonstrate a trade-off between the achievable bit error rate and the necessary delay via caching. The results show that a small delay enabled by UAV caching can enable full diversity at SNR levels 10–$;100 times$ lower in most mobile swarm cases. The proposed protocol can dynamically trade-off transmission reliability with caching capacity and enable reliable UAV swarm coordination in complex environments.
蜂群无人机(uav)对于分布式传感和救灾等许多智慧城市应用至关重要。互联无人机经常在复杂的环境中运行,在这些环境中,通信信道会遭受衰落损失。实现充分的空间多样性对于可靠的通信很重要,但在任何给定时间都无法保证。在这里,我们展示了通过缓存的延迟容忍传输可以实现完全分集。为了实现这一目标,我们改进了解码转发合作中继方案,其中成功中继无人机的数量随着每增加一个合作阶段而增加。我们通过缓存演示了可实现的误码率和必要的延迟之间的权衡。结果表明,在大多数移动蜂群情况下,无人机缓存实现的小延迟可以在信噪比低10 - 100倍的情况下实现完全分集。该协议能够动态权衡传输可靠性和缓存容量,实现复杂环境下无人机群的可靠协调。
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引用次数: 1
Renewable Energy Solution for Electricity Access in Rural South Africa 南非农村电力接入可再生能源解决方案
Pub Date : 2019-10-01 DOI: 10.1109/ISC246665.2019.9071693
O. M. Longe, Lindo Myeni, K. Ouahada
South Africa has grown from 34% electrification in 1991 to about 84.7% electrification presently, but with least access to electricity in rural areas. The lower rate of electrification in rural areas than urban areas has made dwellers in rural unelectrified areas to be challenged economically, socially, educationally, health-wise, etc. The aging, unclean, nonrenewable and constrained traditional grid has necessitated to think out of the box for universal electricity access in the nation through renewable energy sources (RES) such as solar, wind, biomass, and hydro for rural electrification. Therefore, a RES-powered microgrid is designed for rural Jozini municipality with 26.3% electricity access. This proposed Jozini microgrid was found to have a Levelised Cost of Electricity (LCOE) of R0.384/kWh, which is about one-third of grid LCOE in South Africa. Also, the proposed Jozini microgrid has 0 kg/kWh CO2 emission compared to 0.99 kg/kWh CO2 emission from the traditional national grid.
南非的电气化率从1991年的34%增长到目前的84.7%,但农村地区的电力供应最少。农村地区的电气化率低于城市地区,这使得农村未电气化地区的居民在经济、社会、教育、健康等方面面临挑战。老化、不清洁、不可再生和受限制的传统电网需要打破常规,通过可再生能源(RES),如太阳能、风能、生物质能和水电,实现农村电气化,在全国普及电力供应。因此,为约济尼市农村地区设计了一个res供电的微电网,其电力接通率为26.3%。该提议的Jozini微电网被发现具有0.384兰特/千瓦时的平准化电力成本(LCOE),约为南非电网LCOE的三分之一。此外,拟议的Jozini微电网的二氧化碳排放量为0 kg/kWh,而传统国家电网的二氧化碳排放量为0.99 kg/kWh。
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引用次数: 9
A data-driven Smart City Transformation Model utilizing the Green Knowledge Management Cube 利用绿色知识管理立方体的数据驱动的智慧城市转型模型
Pub Date : 2019-10-01 DOI: 10.1109/ISC246665.2019.9071703
Mareike Dornhöfer, Christian Weber, Johannes Zenkert, M. Fathi
The transformation of cities into smart cities is one of the demanded topics in city planning, following the long-term trend of digitization. While installing a smart device seems relatively easy from a technical point of view, the question of transformation needs a knowledge-based perspective. Which parameters should be measured, how could a data infrastructure be introduced, how is it possible to apply gathered data of different devices for the deduction of knowledge and how can overarching smart city concepts and projects be implemented? The paper addresses these questions for a scenario in the field of smart environment. A smart city transformation model is introduced and the Green KM Cube, as part of green knowledge management, is applied as a method for detailing the phases through knowledge management dimensions to facilitate planning and decision support. The result is the basis of the requirements analysis of the transformation model.
在数字化的长期趋势下,城市向智慧城市的转型是城市规划的需求主题之一。虽然从技术角度来看,安装智能设备似乎相对容易,但转型问题需要以知识为基础的视角。应该测量哪些参数,如何引入数据基础设施,如何应用不同设备收集的数据来推断知识,以及如何实施总体智慧城市概念和项目?本文针对智能环境领域的一个场景解决了这些问题。本文介绍了一个智慧城市转型模型,绿色知识立方作为绿色知识管理的一部分,作为一种方法,通过知识管理维度来详细说明各个阶段,以促进规划和决策支持。该结果是转换模型需求分析的基础。
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引用次数: 12
期刊
2019 IEEE International Smart Cities Conference (ISC2)
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