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2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT)最新文献

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A Low-Cost Smart Load Enabler Device 一种低成本的智能负载启用设备
M. B. Satti, N. Ali, Mian Muhammad Arsalan Asif, Abdul Hafeez Abid, Ammar Hasan
In recent times, the emergence of different modern technologies like machine learning, control systems, wireless networks, automation industries and embedded systems lead to an evolution of Internet of Things (IoT). Among the diverse applications of IoT, smart grids are a notable mention where communication between its components is critical. Consequently, the evolution of IoT is followed by numerous discoveries of smart devices with communication capability in both domestic and industrial fields. The IoT based smart devices can be differentiated based on their cost, size, ease of use and compatibility with the existing domestic or commercial electricity infrastructure. In this paper, we propose a small-sized low-cost smart load enabler (SLE) device that works in a client-server communication mechanism and capable of connecting to a conventional load like lights and fans without disturbing the existing electrical wiring. The proposed SLE device has the features of switching and power measurement of the load; also, allowing wireless communication between the server and load.
近年来,机器学习、控制系统、无线网络、自动化行业和嵌入式系统等不同现代技术的出现导致了物联网(IoT)的发展。在物联网的各种应用中,智能电网是一个值得注意的提及,其组件之间的通信至关重要。因此,随着物联网的发展,在家庭和工业领域发现了许多具有通信能力的智能设备。基于物联网的智能设备可以根据其成本、尺寸、易用性以及与现有家庭或商业电力基础设施的兼容性进行区分。在本文中,我们提出了一种小型低成本智能负载启用器(SLE)设备,该设备在客户端-服务器通信机制中工作,能够连接到灯和风扇等传统负载,而不会干扰现有的电线。所提出的SLE装置具有负载的开关和功率测量的特点;此外,允许服务器和负载之间的无线通信。
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引用次数: 4
Design and Modeling of VTOL Tri Tilt-rotor Aircraft 垂直起降三倾旋翼飞机设计与建模
M. Umer, S. Q. Kazmi, Syed M. Hassan Askari, Dr. Iftikhar Ahmad Rana
Rotary wing aerial vehicles have the capability to vertically take-off and land (VTOL); they have better stability while hovering. On the other hand, conventional fixed wing aircrafts offer greater endurance and higher speed. This article focuses on the development of hover model of a VTOL tri- rotor aerial vehicle, with front rotors having tilting mechanism; combining the aforementioned characteristics of rotary wing and conventional aerial vehicles. This dynamic model of a tri tilt-rotor VTOL aerial vehicle has been developed using force and moment equations, with throttles and tilt angles as input. The response of the Unmanned Aerial Vehicle (UAV), in hover mode, is presented with the help of Matrix Laboratory (MATLAB) simulations and responses of angular velocity with and without linear control are compared in MATLAB simulations.
旋翼飞行器具有垂直起降(VTOL)能力;它们在悬停时有更好的稳定性。另一方面,传统的固定翼飞机具有更大的续航力和更高的速度。本文重点研究了一种前旋翼具有倾斜机构的垂直起降三旋翼飞行器悬停模型的研制;结合了前述旋翼和传统飞行器的特点。利用力和力矩方程,以油门和倾斜角度为输入,建立了三倾旋翼垂直起降飞行器的动力学模型。利用MATLAB仿真分析了无人机在悬停模式下的响应,并对有线性控制和无线性控制时的角速度响应进行了比较。
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引用次数: 2
HONET-ICT 2018 Cover Page HONET-ICT 2018封面
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引用次数: 0
A Holistic Approach for Lifetime Prolonging and Femto Base Station’s Sleeping Strategy in HetNets HetNets中延长寿命的整体方法及Femto基站睡眠策略
Abdullah Mohammed Alqasir, A. Kamal
While Femto Base Stations (FBSs) are promising solutions for providing the required throughput for end users, they may impact energy efficiency, especially, as the density of the FBSs increases significantly. In this paper we focus on enhancing energy efficiency in heterogenous networks, where Macro BSs (MBSs) and FBSs co-exist, by presenting a sleeping strategy. In the sleeping strategy FBSs serving few users are turned off and their users and resources are offloaded to neighboring FBSs. However, adapting the sleeping strategy will affect the lifetime of the FBSs, due to the frequent change of power level between turning ON and OFF the FBS. Therefore, in order to maximize energy savings, we formulate an optimization problem that provides an optimal user association and FBSs sleeping strategy for the entire network, while minimizing the total numbers of the power change for every FBS. Since the problem is NP-hard, we propose a clustering heuristic approach, where we divide the network into smaller clusters and solve the optimization for each cluster independently. Simulation results show that the clustering heuristic approach performs close to the optimal approach with the energy consumption being reduced significantly.
虽然Femto基站(FBSs)是为最终用户提供所需吞吐量的有前途的解决方案,但它们可能会影响能源效率,特别是当FBSs的密度显著增加时。在本文中,我们重点关注通过提出睡眠策略来提高宏观BSs和FBSs共存的异构网络中的能源效率。在休眠策略中,服务少量用户的FBSs被关闭,其用户和资源被卸载到邻近的FBSs。然而,由于FBS在打开和关闭之间的功率水平频繁变化,采用休眠策略将影响FBS的寿命。因此,为了最大限度地节省能源,我们制定了一个优化问题,为整个网络提供最优的用户关联和FBS睡眠策略,同时最小化每个FBS的功率变化总数。由于问题是np困难的,我们提出了一种聚类启发式方法,我们将网络分成更小的簇,并独立解决每个簇的优化问题。仿真结果表明,聚类启发式算法性能接近最优算法,能耗显著降低。
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引用次数: 0
DronAID : A Smart Human Detection Drone for Rescue DronAID:用于救援的智能人类探测无人机
Rameesha Tariq, Maham Rahim, Nimra Aslam, N. Bawany, U. Faseeha
Natural calamities have recently opened their doors to disasters which in turn have affected various regions of the world. Disasters serve as an eye-opener as they are unstoppable and exceptional events which are either natural or manmade, such as earthquakes, wildfires, floods and terrorist attacks etc. These natural catastrophes many a times serve as a hats down chink in the armor as they lead to a massive death toll either because of people being stuck in the debris or due to no help received on time. One of the major challenges faced by the rescue and search teams during a massive disaster is the actual search of survivors and victims at the earliest and also reaching out to far off areas to make sure people are not stuck under the debris. This paper presents a real time autonomous drone technology system named “DronAID” that is capable of detecting humans in disastrous conditions. This system assists in the rescue process by identifying the exact location of the survivors at the earliest. As the system is a drone based system, it can easily be mobilized and controlled. This system comprises of a monitoring system along with a camera module and sensor unit to identify the existence of humans buried under the debris. The system sends the data ahead for further action and investigation. We believe DronAID system is the need of the time and will prove to be a blessing in disguise in calamitous situations and will serve as a significant requirement in urban disasters.
自然灾害最近向灾害敞开了大门,而灾害反过来又影响到世界各区域。灾难让人大开眼界,因为它们是不可阻挡的特殊事件,无论是自然的还是人为的,比如地震、野火、洪水和恐怖袭击等。这些自然灾害很多时候就像盔甲上的裂缝一样,因为它们导致了大量的死亡人数,要么是因为人们被困在废墟中,要么是因为没有及时得到帮助。在大规模灾难中,救援和搜索团队面临的主要挑战之一是在第一时间搜索幸存者和受害者,并向偏远地区伸出援手,确保人们没有被困在废墟下。本文提出了一种能够在灾难条件下探测人类的实时自主无人机技术系统“DronAID”。该系统通过尽早确定幸存者的确切位置来协助救援过程。由于该系统是基于无人机的系统,它可以很容易地动员和控制。该系统包括一个监控系统以及一个摄像头模块和传感器单元,用于识别被埋在废墟下的人的存在。系统将数据提前发送给进一步的行动和调查。我们相信无人机援助系统是时代的需要,在灾难情况下将被证明是因祸得福,并将成为城市灾害的重要要求。
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引用次数: 33
Scenario-Based Impediments for Intelligent Freight Transportation in Pakistan 基于场景的巴基斯坦智能货运障碍
Nazam Ali, A. Rahim
Freight transportation is a dynamic part of a country’s economy and yield positive dimensions on GDP. This paper discusses the problems that why intelligent freight transportation, a prerequisite for the regional or international evolution and development, is relatively missing from the mainstream economic geography of Pakistan. This paper discusses the possible scenario-based impediments which hinder the intelligent operations of freight transportation in the region. The core scenario-based impediments discussed in this paper include; State Fleet Policy (SFP), Advanced Driver Assistance Systems (ADAS), Infrastructure Management Systems (IMS), and City Logistics (CL). The role of the most direct key factors along with their negative projections on impact areas impeding smart transportation logistics are also highlighted in this research. For future research, these implications will also be validated via expert surveys or a Delphi-analysis.
货运是一个国家经济中充满活力的部分,对GDP产生积极的影响。本文探讨了巴基斯坦主流经济地理学中相对缺失区域或国际演进与发展的前提——智能货运的原因。本文讨论了可能阻碍该地区货运智能运作的基于场景的障碍。本文讨论的基于场景的核心障碍包括:国家车队政策(SFP)、高级驾驶辅助系统(ADAS)、基础设施管理系统(IMS)和城市物流(CL)。本研究还强调了最直接的关键因素及其对阻碍智能交通物流影响区域的负面预测的作用。对于未来的研究,这些影响也将通过专家调查或德尔菲分析进行验证。
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引用次数: 5
A Very Low Cost, Open, Wireless, Internet of Things (IoT) Air Quality Monitoring Platform 极低成本、开放、无线、物联网(IoT)空气质量监测平台
Hammad Aamer, R. Mumtaz, Hirra Anwar, S. Poslad
Since the recent epidemic rise of smog outbreaks across the country, it has become more crucial than ever to monitor and regulate the quality of air in the atmosphere. The established solutions so far are widely inaccessible for the general public and restricted specifically to organizational use due to high cost and less usability. In this paper we propose a standard solution based on Internet of Things (IoT) technology, which is a cost-effective alternative to traditional air quality monitoring systems. To realize this cost effectiveness, we have used NodeMCU system on chip which is a low cost, low energy, open, wireless LAN platform. Through the proposed solution, we demonstrate air quality monitoring by collecting data using temperature, humidity, carbon monoxide and nitrogen dioxide sensors and subsequently performed data analysis to infer the relationship of pollutant gases with weather parameters influencing the air quality. Through this research we support the concept of“Going Green” to sustain healthy, and cleaner environment for current and future generations.
自近期雾霾疫情在全国范围内流行以来,监测和调节大气中的空气质量变得比以往任何时候都更加重要。到目前为止,已建立的解决方案由于成本高和可用性差,一般公众普遍无法使用,并且专门限于组织使用。在本文中,我们提出了一种基于物联网(IoT)技术的标准解决方案,这是传统空气质量监测系统的一种经济有效的替代方案。为了实现这一成本效益,我们采用了低成本、低能耗、开放的无线局域网平台NodeMCU片上系统。通过提出的解决方案,我们通过使用温度、湿度、一氧化碳和二氧化氮传感器收集数据来演示空气质量监测,并随后进行数据分析,以推断污染气体与影响空气质量的天气参数之间的关系。通过这项研究,我们支持“走向绿色”的概念,为当代和后代维持健康、清洁的环境。
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引用次数: 21
HONET-ICT 2018 TOC
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引用次数: 0
Topic based Summarization of Multiple Documents using Semantic Analysis and Clustering 基于语义分析和聚类的多文档主题摘要
Rubab Hafeez, Sharifullah Khan, M. A. Abbas, F. Maqbool
Document summarization addresses the problem of presenting the information in a compact form to the readers. Different approaches to summarize documents have been proposed and evaluated in literature. Common research problems in multi-document summarization are Redundancy and Extraction of sentences; that are important and semantically linked with other sentences. With the combination of agglomerative hierarchical clustering and Latent Semantic Analysis (LSA); which measures semantic similarity between sentences and reduces dimensions by preserving only highly weighted vectors, we propose a novel multi document summarization approach. Latent Dirichlet Allocation Model is used to identify important topic terms in the resultant summary. We have used Recall Oriented Understudy for Gisting Evaluation (ROUGE) metric to evaluate our system against other state-of-the art techniques using Document Understanding Conference (DUC) dataset 2004. Experimental results show that there is substantial performance improvement using our system and it makes better summary as compared to the other state-of-art techniques.
文档摘要解决了将信息以紧凑的形式呈现给读者的问题。文献中提出并评价了不同的文献总结方法。多文档摘要中常见的研究问题是句子的冗余和抽取;这些句子很重要,并且在语义上与其他句子有联系。将聚类层次聚类与潜在语义分析相结合;本文提出了一种新的多文档摘要方法,该方法测量句子之间的语义相似度,并通过仅保留高加权向量来降低维数。潜在狄利克雷分配模型用于识别结果摘要中的重要主题术语。我们使用了Recall Oriented Understudy for registration Evaluation (ROUGE)度量,使用2004年文档理解会议(DUC)数据集,对比其他最先进的技术来评估我们的系统。实验结果表明,该系统的性能有很大的提高,并且与其他先进技术相比,它可以更好地进行汇总。
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引用次数: 3
Virtual Power Quality Analyzer Emphasizing the Distortion Factor in Power Factor Calculation 虚拟电能质量分析仪在功率因数计算中强调失真因数
Malik Muhammad Zaid, Syed Haider, M. Sibtain, Muhammad Usama Malik
This paper bestows the power quality analyzer which is more accurate and low cost as compared to existing energy meters which are already present in the market. The proposed power quality analyzer is capable of monitoring the instantaneous and average parameters of the power system. All the measured parameters are compared with Fluke 43B and Yokogawa CW240 to show the accuracy of prototype. The aforesaid energy meters do not take into account the distortion factor while computation of power factor, but the proposed prototype also include the effect of distortion factor in signal computation. The parameters of the power system which includes, total harmonic distortion of current and voltage, frequency, true root mean square, real power, reactive power, apparent power and power factor are displayed on the graphical user interface by using LabVIEW. The prototype is built with the current sensor (L18P010D15) and voltage sensor (LEM LV 25P). The power quality analyzer is validated with the Fluke 43B and Yokogawa CW240 and the results are presented in the paper.
与市场上现有的电能表相比,本文提出了一种更准确、成本更低的电能质量分析仪。所提出的电能质量分析仪能够监测电力系统的瞬时参数和平均参数。将所测参数与Fluke 43B和横河CW240进行了比较,验证了样机的准确性。上述电能表在计算功率因数时没有考虑失真因素,但所提出的样机在信号计算中也考虑了失真因素的影响。利用LabVIEW在图形用户界面上显示电力系统的电流和电压总谐波畸变、频率、真均方根、实际功率、无功功率、视在功率和功率因数等参数。原型机采用电流传感器(L18P010D15)和电压传感器(LEM LV 25P)。电能质量分析仪在Fluke 43B和Yokogawa CW240上进行了验证,并给出了测试结果。
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引用次数: 0
期刊
2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT)
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