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2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)最新文献

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A Survey: Integration of IoT and Fog Computing 调查:物联网与雾计算的融合
M. Jalasri, Dr. L. Lakshmanan
Internet of Things (IoT) and Fog Computing (FC) are rapid development in the field of wireless network. Features such as decentralization, low latency, and location awareness are not supported by IoT which is significant for some IoT applications, including smart shopping cart, smart meter, and smart home. These features are supported by the amalgamation of IoT and FC to extend services such as storage, computing, and networking resources to the network edge. This paper presents a survey of IoT and FC with security threats and also the benefits of their combination. Finally, the security challenges of IoT and FC have studied.
物联网(Internet of Things, IoT)和雾计算(Fog Computing, FC)是目前无线网络领域发展最快的技术。物联网不支持去中心化、低延迟和位置感知等功能,这对一些物联网应用很重要,包括智能购物车、智能电表和智能家居。通过物联网与FC的融合,可以将存储、计算、网络资源等业务扩展到网络边缘。本文介绍了具有安全威胁的物联网和FC的调查以及它们组合的好处。最后,研究了物联网和FC的安全挑战。
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引用次数: 7
Steganography for Confidential Communication and Secret Data storage 保密通信和秘密数据存储的隐写术
D. K. Chaudhary, Sandeep Srivastava, T. Choudhury
Rapid changes in the technology and the availability of the sources have resulted in large amount of useful information to be shared from one person to the other over the internet in some seconds. As the information is quiet sensitive and important it is must be kept secured and the overall privacy should be maintained. There are number of ways and techniques that could be applied on and hence worth data could be kept secured [2]. The only disadvantage can be maintaining this privacy is quite expensive. A much easier way can be using of Steganography technique to hide this useful information inside any other source and then transferring it upon the internet. The other source can be text, audio, or even images [9]. In this paper we have focused upon the use of images for the steganography technique.
技术的快速变化和资源的可用性导致大量有用的信息可以在几秒钟内通过互联网从一个人分享到另一个人。由于信息非常敏感和重要,因此必须加以保护,并应维护整体隐私。有许多方法和技术可以应用,因此有价值的数据可以保持安全[2]。唯一的缺点是维护这种隐私非常昂贵。一种更简单的方法是使用隐写技术将这些有用的信息隐藏在任何其他来源中,然后在互联网上传输。其他来源可以是文本、音频甚至图像[9]。在本文中,我们重点讨论了图像隐写技术的使用。
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引用次数: 1
MQTT Based Smart Metering 基于MQTT的智能计量
R. Kodali, S. Sahu
In the concept of smart grid, the smart meter is one of the most important components. Controlling the consumption of electric power is a main aspect of smart grid technology. With the implementation of smart meters, service providers and consumers will get timely updates of the energy consumption, and this will help both the service provider and consumer control their energy consumption. This will also help in reducing irregularities during meter reading and bill generation. Consumers will have an idea of their upcoming bills as they can see their consumption details any time. It will also eliminate the need for a person to physically collect meter readings from home to home as all the readings will be available automatically on the website. In our proposed model, sensors are connected to electricity meter and to the ESP32 microcontroller. ESP32 publishes this data hourly or more frequently. This data is then subscribed by Raspberry Pi which acts as an MQTT broker here. All these consumption details along with billing details then can be seen on a website by the service provider as well as the consumer. An alert email regarding energy consumption is also sent to the consumer whenever needed.
在智能电网的概念中,智能电表是最重要的组成部分之一。控制电力消耗是智能电网技术的一个主要方面。随着智能电表的实施,服务提供商和消费者将获得及时的能源消耗更新,这将有助于服务提供商和消费者控制他们的能源消耗。这也将有助于减少抄表和生成账单时的违规行为。消费者可以随时看到自己的消费细节,从而了解即将到来的账单。它还将消除人们挨家挨户收集电表读数的需要,因为所有读数都将自动在网站上提供。在我们提出的模型中,传感器连接到电表和ESP32微控制器。ESP32每小时或更频繁地发布此数据。这些数据随后由树莓派订阅,树莓派在这里充当MQTT代理。所有这些消费细节以及账单细节都可以在服务提供商和消费者的网站上看到。有关能源消耗的警告电子邮件也会在需要时发送给消费者。
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引用次数: 2
Self-Sustainable Monitoring Station for Extreme Environments (S3ME2): Design and validation 自我可持续的极端环境监测站(S3ME2):设计与验证
Thasshwin Mathanlal, J. Martín‐Torres, A. Bhardwaj, M. Z. Mier
We describe the development of a robust, self-sustainable, versatile environmental monitoring station, the S3ME2, with a multitude of sensors capable of operating in extreme environments (from cold arid sub-arctic regions to hot deserts and high-altitude mountain terrains), providing realtime quality data of critical climate and geophysical parameters for a wide field of research such as pressure, surface and subsurface temperature and humidity, magnetic field and seismic activity. The dedicated communication modem utilizes IoT technology and can deliver this data from remote regions. The S3ME2 has been designed as a low-cost instrument to facilitate the production of multiple units. During the pilot phase, it has demonstrated continuous operability for up to 6 months, including survival during extremely cold, snowy, and low insolation, and low wind periods in the Sub-Arctic region. With its robust design, S3ME2 exploits the use of renewable sources of energy such as solar and wind power to power the system. The S3ME2 has also been designed from a modular point of view with commercial off the shelf components (COTS) and open source hardware, considering long term operability of the station. The sensor modules can be easily added, replaced, or upgraded such that a stable functioning of the system is guaranteed.
我们描述了一个强大的,自我可持续的,多功能环境监测站的发展,S3ME2,具有能够在极端环境(从寒冷干旱的亚北极地区到炎热的沙漠和高海拔山地地形)中运行的众多传感器,为广泛的研究领域提供关键气候和地球物理参数的实时质量数据,如压力,地表和地下温度和湿度,磁场和地震活动。专用通信调制解调器利用物联网技术,可以从偏远地区传输这些数据。S3ME2被设计为一种低成本仪器,以促进多个单元的生产。在试点阶段,该系统已经证明了长达6个月的持续可操作性,包括在亚北极地区极冷、多雪、低日照和低风期的生存。凭借其坚固的设计,S3ME2利用太阳能和风能等可再生能源为系统提供动力。考虑到工作站的长期可操作性,S3ME2也从模块化的角度设计了商用现货组件(COTS)和开源硬件。传感器模块可以很容易地增加、更换或升级,从而保证系统的稳定运行。
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引用次数: 2
Gravitational Emulation-Grey Wolf Optimization technique for Load balancing in Cloud Computing 云计算中负载均衡的重力仿真-灰狼优化技术
K. P. Kumar
Cloud computing is a virtual pool of computing resources such as software, platform, infrastructures, applications, storage and information provides to users through the internet. The computing capacity of the virtualized cloud frame is divided into several VMs with the help of virtualization methodology. In the cloud environment, load balancing is the challenging task because distribute the task equally among the VMs is a complex one. In this paper, hybrid Grey-Wolf-Optimization (GWO) algorithm and Gravitational-Emulation-Local-Search (GELS) algorithm is utilized for cloud load balancing. A GWO based optimization method is used for ranking the host resources based on their efficiency and utilization. The GELS algorithm is used for clustering the tasks based on their VM ability and cost. The proposed GWO-GELS method significantly decrease the response time and cost. An experimental analysis is demonstrated that the makespan performance of proposed method achieved 10msec lesser than existing methods. The evaluated result validated that GWO-GELS performed effectively by means of energy consumption minimization, reduction of cost, makespan and avoid Degree of Imbalance (DI). The GWO-GELS method is implemented in CloudSim.
云计算是通过互联网向用户提供软件、平台、基础设施、应用程序、存储和信息等计算资源的虚拟池。借助虚拟化方法,将虚拟化云框架的计算能力划分为多个虚拟机。在云环境中,负载均衡是一项具有挑战性的任务,因为在虚拟机之间平均分配任务是一项复杂的任务。本文将混合灰狼优化(GWO)算法和重力仿真局部搜索(GELS)算法用于云负载均衡。采用基于GWO的优化方法,对主机资源的效率和利用率进行排序。基于任务的虚拟机能力和成本,采用GELS算法对任务进行聚类。所提出的GWO-GELS方法显著降低了响应时间和成本。实验分析表明,该方法的makespan性能比现有方法降低了10毫秒。评价结果验证了GWO-GELS通过最小化能耗、降低成本、缩短完工时间和避免不平衡度(DI)来有效运行。GWO-GELS方法在CloudSim中实现。
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引用次数: 1
Retinal based Automated Healthcare Framework via Deep Learning 基于视网膜的深度学习自动化医疗框架
Pritom Das R, Rakshitha G, I. Juvanna, D. Venkat Subramanian
Developing countries have limited access to low cost retinal images which hinders the progress in preventing needless blindness. Portable advancements are opening new doors to human services. Handheld ophthalmoscopes and smartphone fundus photography solutions are already providing promising solutions to low cost and portability. In this paper, we have discussed a new way to retinal fundus photography based on a Head Mounted Device(HMD) concept. HMDs will allow to obtain automated retinal images from patients. These images acts as biomarkers and helps in detection of chronic and long term diseases. Deep learning techniques are utilised to automate disease detection and patients are given corrective suggestions through their smartphones. We are translating technology into clinical care in the dawn of smart healthcare.
发展中国家获得低成本视网膜图像的机会有限,这阻碍了在预防不必要失明方面取得进展。便携技术的进步为人类服务打开了新的大门。手持式检眼镜和智能手机眼底摄影解决方案已经为低成本和便携性提供了有前途的解决方案。本文讨论了一种基于头戴式设备(HMD)概念的视网膜眼底摄影新方法。头戴式显示器可以自动获取患者的视网膜图像。这些图像作为生物标志物,有助于检测慢性和长期疾病。深度学习技术被用于自动化疾病检测,并通过智能手机向患者提供纠正建议。在智能医疗的曙光中,我们正在将技术转化为临床护理。
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引用次数: 1
Predicting the Popularity of Online News using Social Features 利用社交特征预测网络新闻的受欢迎程度
H. Singh
Consuming news via social media is an integral part of our lives. Various news agencies use social media as a medium to spread their content. Popularity prediction of news before publication is a challenging task because it depends on a very large user base. Popularity of news on social platform can be represented using number of likes, shares. We have used number of likes as a popularity measure. In this paper, we first find out features on social platform which can affect popularity of an article. These features and content metadata are fed to various machine learning models. These models are used to predict whether an article is going to be popular or not. Tree based models achieve best results for prediction. These models also show that hashtags, usermentions and other social features are important factors which affect popularity of news.
通过社交媒体消费新闻是我们生活中不可或缺的一部分。各种新闻机构使用社交媒体作为传播其内容的媒介。新闻发布前的受欢迎程度预测是一项具有挑战性的任务,因为它依赖于非常大的用户群。新闻在社交平台上的受欢迎程度可以用点赞数、分享数来表示。我们使用点赞数作为受欢迎程度的衡量标准。在本文中,我们首先找出社交平台上影响文章受欢迎程度的特征。这些特征和内容元数据被馈送到各种机器学习模型中。这些模型被用来预测一篇文章是否会流行。基于树的模型可以获得最好的预测结果。这些模型还表明,话题标签、用户提及等社交特征是影响新闻受欢迎程度的重要因素。
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引用次数: 3
Load Analysis In SDN For Distributed Topologies 分布式拓扑下SDN的负载分析
G. Raj, Siddhant Sharma, T. Choudhury
The advent of internet has led to the formation of a totally digitized environment, where each and everything is constantly in connection & can be easily accessed from anywhere. Traditional IP networks are difficult to understand and manage. Configuring the networks as per the already defined policies & making changes to it to react to issues faced has become difficult. The vertical integration of current networks adds to the difficulties. Software-Defined Network (SDN) is a new paradigm that promises to change and solve the problem. SDN breaks network into traceable pieces, thus making it less demanding to make & present new changes in networking, making network management & network evolution simpler. In SDN, load balancing is a brilliant technology as it can save power & improve the utilization of resources. This research focuses on analyzing the load and data in SDN for various distributed network topologies. Various network emulator and packet tracker tools have been used in the paper for generating statics.
互联网的出现导致了一个完全数字化的环境的形成,在这个环境中,每件事都在不断地连接,可以从任何地方轻松访问。传统的IP网络难以理解和管理。根据已经定义的策略配置网络并对其进行更改以应对所面临的问题变得很困难。当前网络的垂直整合增加了困难。软件定义网络(SDN)是一种有望改变和解决这一问题的新范式。SDN将网络分解为可追踪的部分,从而降低了对网络进行和呈现新变化的要求,使网络管理和网络演进更简单。在SDN中,负载均衡是一项非常出色的技术,因为它可以节省电力和提高资源利用率。本研究针对不同的分布式网络拓扑结构,着重分析了SDN中的负载和数据。本文使用了各种网络仿真器和数据包跟踪工具来生成静态数据。
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引用次数: 1
Design of an U shaped slotted patch antenna for RFID Vehicle Identification 用于RFID车辆识别的U型开槽贴片天线设计
Prahlad, N. Sanil, Pasumarthy Ankith Naga Venkat, Mohammed Riyaz Ahmed
The proliferation of IoT can be owed to the capability of a device to identify itself wirelessly using electromagnetic waves. The ease of tracking and monitoring, data capturing, data collection with object identification can be done through the RFID system. In the RFID system, passive linearly polarised tag antenna will sense the RF power from the reader and advertise its unique code which has to be sensed by the circularly polarised active reader antenna. Design of antenna, especially for RFID systems is an art in itself. In this work, a U shaped slotted microstrip patch antenna for RFID reader intended for microwave applications is proposed. The proposed antenna is designed by using the substrate Rogers R04350 which provides a return loss of 190MHz (2.39GHz- 2.58GHz) with the gain of 4.32dB, VSWR of 0.6157 and directivity of 4.67dB. The proposed antenna is designed and simulated using Ansoft HFSS.
物联网的扩散可以归功于设备使用电磁波无线识别自身的能力。易于跟踪和监控,数据捕获,数据收集与对象识别可以通过RFID系统来完成。在RFID系统中,无源线性极化标签天线将感知来自阅读器的射频功率并发布其唯一代码,该代码必须由圆极化有源阅读器天线感知。天线的设计,特别是RFID系统的天线设计本身就是一门艺术。在这项工作中,提出了一种用于微波应用的RFID阅读器的U形开槽微带贴片天线。该天线采用Rogers R04350基片设计,回波损耗为190MHz (2.39GHz- 2.58GHz),增益为4.32dB,驻波比为0.6157,指向性为4.67dB。采用Ansoft HFSS软件对该天线进行了设计和仿真。
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引用次数: 6
Characterization and Performance Evaluation of Request Sequence for Move-To-Front Algorithm 移动到前算法请求序列的表征与性能评价
Pratyashi Satapathy, Richismita Rout
List accessing problem is the problem of efficiently reorganizing and accessing the element of the list for obtaining optimal cost. So in list accessing problem a sorted list and an unsorted request sequence is given as input and the mainobjective is to reduce access cost of the elements. In this paper, characterizing the request sequences based on locality of references and look ahead property. Also characterization is done based on size of list, size of request sequences, ordering of elements, frequencies occurrence of elements and sequence of elements of the list. Based on our characterization a new cost model is developed for different inputs by using Move-To-Front list accessing algorithm. Till now Move-To-Front algorithm has been proved as best performing algorithm where the elements are moving towards front of list after accessing.
列表访问问题是指如何有效地对列表中的元素进行重组和访问,以获得最优的成本。因此,在列表访问问题中,给出一个有序列表和一个未排序的请求序列作为输入,其主要目的是降低元素的访问成本。本文基于引用的局部性和预见性对请求序列进行了表征。此外,还根据列表的大小、请求序列的大小、元素的排序、元素出现的频率和列表元素的顺序来进行表征。在此基础上,利用Move-To-Front列表访问算法建立了不同输入的成本模型。到目前为止,Move-To-Front算法已经被证明是性能最好的算法,其中元素在访问后会向列表的前面移动。
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引用次数: 1
期刊
2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)
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