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

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Navigation based - Intelligent Parking Management System using Queuing theory and IOT 基于导航——基于排队论和物联网的智能停车管理系统
Divya Pandey, Seema Hanchate Author
The development of devices that can connect to the Internet and transmit data has been a source of inspiration for smart city designs. in a metropolitan cities where the smart cities project are working in progress there are various approaches for making the cities smarter, one of the key features is smart parking, at a peak hour rush it is v difficult for driver to find a parking spaces with an increase and order of traffic, causing traffic congestion and result in wastage of fuel, energy etc. there are various work done,. With liberalization of economy number of vehicle on the road have increased leading to illegal, unorganized parking behavior in at public place, private building, educational campus, corporate campus. Thus, Our main objective is to avoid this unorganized parking system and so for this we can provide the intelligences to parking system which can solved the real time problem of organized and unorganized parking. In this study we have developed a smart parking proposal using queuing theory approach which can be model the parking system as a queue and the evaluation parameter like wait time for user in a queue or in a system can be estimated. Also by using IOT concept, by using wireless sensor node and infrared sensor to provide the real time status of parking lot for user on IOT and suggest the parking lot to avoid wait time in peak hour. The parking space closest to the current location can be found using multiple server single queue system and optimizing the existing system for better user experiences.
能够连接到互联网并传输数据的设备的发展一直是智慧城市设计的灵感来源。在智慧城市项目正在进行的大都市中,有各种方法可以使城市变得更加智能,其中一个关键特征是智能停车,在高峰时段,随着交通的增加和秩序,司机很难找到停车位,造成交通拥堵并导致燃料,能源等的浪费,有各种工作要做,。随着经济的自由化,道路上的车辆数量增加,导致在公共场所、私人建筑、教育校园、企业园区的非法、无组织停车行为。因此,我们的主要目标是避免这种无组织的停车系统,因此我们可以为停车系统提供智能,解决有组织和无组织停车的实时问题。在本研究中,我们提出了一种使用排队论方法的智能停车方案,该方案可以将停车系统建模为一个队列,并可以估计队列或系统中用户的等待时间等评估参数。同时利用物联网概念,利用无线传感器节点和红外传感器,在物联网上为用户提供停车场的实时状态,并建议停车,避免高峰时段的等待时间。通过使用多服务器单队列系统和优化现有系统,可以找到离当前位置最近的停车位,以获得更好的用户体验。
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引用次数: 8
[Front matter] (前页)
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引用次数: 0
A Novel Approach For Securing Cloud Using Fog Computing 一种利用雾计算保护云的新方法
P. K, Pawan Hegde
Cloud computing is a swift moving field that gives several application based services and data storage. Cloud computing focuses on providing the services to the clients as what they need and pay accordingly. Since a large amount of data of the users is stored or available at the cloud servers and data centres, privacy and safety of the data is a major concern in a cloud environment. Cloud computing security or, simply known to be, cloud security refers to a wider category of technologies, policies and controls utilized to protect data, applications, and the infrastructure amalgamated with cloud computing. In this paper we discuss about a few smart ways to overcome with these challenges.
云计算是一个快速发展的领域,它提供了几种基于应用程序的服务和数据存储。云计算的重点是向客户提供他们所需要的服务,并相应地支付费用。由于用户的大量数据存储或可用在云服务器和数据中心,因此数据的隐私和安全是云环境中的一个主要问题。云计算安全,或者简称为云安全,是指用于保护数据、应用程序和与云计算结合的基础设施的更广泛的技术、策略和控制类别。在本文中,我们讨论了一些聪明的方法来克服这些挑战。
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引用次数: 0
Bluetooth Home Automation 蓝牙家庭自动化
Mahith M, Darshan Kumar S B, Prajwal K C, M. Dakshayini
Wireless technologies are rapidly growing, also becoming very illustrious and extensively being used everywhere and the clients appreciate the convenient and easy lifestyle of being wireless. Nowadays with the engrained Bluetooth technology, various digital devices build a system in which the appliances and the devices are interconnected with each other. The Bluetooth technology could be used as one of the significant communication attribute in automation system. The range of communication is 10 to 100mts depending on the version of Bluetooth technology and operates on freely available 2.4GHz bandwidth spectrum. With this capability of Bluetooth; in this paper, a Bluetooth technology based home automation system is proposed enabling elderly and physically disabled people to control the home appliances through their voice commands. Implementation of this proposed automation system has proved its efficiency.
无线技术正在迅速发展,也变得非常出色和广泛的应用无处不在,客户欣赏无线的方便和轻松的生活方式。如今,随着蓝牙技术的深入,各种数字设备建立了一个系统,在这个系统中,设备和设备相互连接。蓝牙技术可以作为自动化系统中重要的通信属性之一。根据蓝牙技术的版本,通信范围为10至100mts,并在免费提供的2.4GHz带宽频谱上运行。有了蓝牙的这种能力;本文提出了一种基于蓝牙技术的家庭自动化系统,使老年人和残疾人能够通过语音命令控制家用电器。该自动化系统的实施证明了其有效性。
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引用次数: 5
Color Features and KNN in Classification of Raw Arecanut images 原始槟榔图像的颜色特征和KNN分类
S. Siddesha, S. Niranjan, V. N. Manjunath Aradhya
Arecanut is one of the important cash crops of Southern India. Classification of raw arecanut is one of the major tasks in grading, which is a vital part of crop management. In this work we proposed a model which classifies the raw arecanut. We used color histogram and color moments as features with K-NN classifier. Experiment is conducted on a dataset of 800 images of four classes using two color features and four distance measures with K-NN. A classification accuracy of 98.13% is achieved for 20% training with K value of 3 and Euclidean distance measure for color histogram features.
槟榔是印度南部重要的经济作物之一。生槟榔的分级是分级的主要任务之一,是作物经营的重要组成部分。本文提出了一种对生槟榔进行分类的模型。我们使用颜色直方图和颜色矩作为K-NN分类器的特征。利用K-NN的两种颜色特征和四种距离度量,在800张四类图像的数据集上进行了实验。对颜色直方图特征进行K值为3和欧氏距离度量的20%训练,分类准确率达到98.13%。
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引用次数: 6
Design and Simulation Study of Hybrid Filter for Power Quality Improvement 用于电能质量改善的混合滤波器设计与仿真研究
Vijeta V. Barathe, S. S. Dhamse
The power quality problem increase due to the non-linear load which affect the power system. To overcome power quality issues this paper described design and simulation study of hybrid filter. The hybrid filter was explained in this paper which is based on series topology. The hybrid filter is operation of both type of passive filter (PF) and active filter (AF). Where the active filter is formed by three phase voltage source inverter (VSI) with self supported DC link capacitor. The active filter is solving power quality problem like sag, swell, harmonics which is connected in series with source. Passive filter are designed to drain harmonics current which is generated by RL load, so that the passive filter is connected in the across the load. The synchronous reference frame (SRF) theory is control strategy is used for to get reference signal. So that Hybrid filter has advantage that it compensates both type of voltage problem and current harmonics. The proposed system simulation runs in MATLAB / simulink tool were presented to verify the performance of the shunt passive filters (SPH) and active series filters (ASF).
由于非线性负荷对电力系统的影响,电能质量问题日益严重。为了克服电能质量问题,本文进行了混合滤波器的设计与仿真研究。本文介绍了一种基于串联拓扑的混合滤波器。混合滤波器是无源滤波器(PF)和有源滤波器(AF)两种类型的工作。其中有源滤波器由三相电压源逆变器(VSI)与自支撑直流链路电容组成。有源滤波器解决了与电源串联的下垂、膨胀、谐波等电能质量问题。无源滤波器的设计目的是滤除RL负载产生的谐波电流,使无源滤波器在负载的两端连接。采用同步参考帧(SRF)理论作为控制策略获取参考信号。因此混合滤波器的优点是它可以补偿电压问题和电流谐波。在MATLAB / simulink中对并联无源滤波器(SPH)和有源串联滤波器(ASF)的性能进行了仿真验证。
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引用次数: 0
A hybrid GWO-PSO Algorithm for Load Balancing in Cloud Computing Environment 云计算环境下负载均衡的混合GWO-PSO算法
Bhavesh N. Gohil, D. Patel
Cloud computing dynamically allocates virtual resources as per the demands of users. The rapid increase of data computation and storage in cloud computing environment results in uneven distribution of workload on its heterogeneous resources. As a result of that, overloaded servers will have a higher job completion time compared to the corresponding time taken by under loaded servers in the same environment. Distributing balanced workload over the available resources is a key challenge in cloud computing environment. Traditionally, load balancing is used to distribute the workload among multiple servers and to avoid overloading and under loading of servers. It also helps to improve system performance and fair utilization of resources. In this paper, we present a novel hybrid load balancing approach in cloud computing environment using Grey Wolf Optimization based Particle Swarm Optimization and compare it with Harmony Search, Artificial Bee Colony, Particle Swarm Optimization and Grey Wolf Optimization algorithms. It also helps to improve system performance and fair utilization of resources. Results of research experiments are very encouraging with improved convergence and simplicity.
云计算可以根据用户的需求动态分配虚拟资源。云计算环境中数据计算量和存储量的快速增长导致其异构资源上的工作负载分布不均匀。因此,与相同环境中负载不足的服务器相比,负载过重的服务器完成作业的时间更长。在可用资源上分配均衡的工作负载是云计算环境中的一个关键挑战。传统上,负载平衡用于在多个服务器之间分配工作负载,以避免服务器过载和负载不足。它还有助于提高系统性能和资源的公平利用。本文提出了一种基于灰狼优化的混合负载均衡方法,并将其与和谐搜索、人工蜂群、粒子群优化和灰狼优化算法进行了比较。它还有助于提高系统性能和资源的公平利用。研究实验结果令人鼓舞,收敛性和简洁性都得到了提高。
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引用次数: 9
LP based Model to Find Optimal Portfolio to Maximize the Profit Index in Software Project Billing 基于LP的软件项目计费中利润指数最大化的最优投资组合模型
Anupam Das, Mukul Sharma, Chayan Halder, Anirban Das, Sagar Kumar Dhawa, Krishnadas Banerjee
Throughout the globe, billions of dollars are spent in IT sectors for building software projects. Building software is continuous process with numerous hazards and so many issues and changes. Those rigorous interruptions may cause soaring of cost from both client’s and IT companies. In this paper we have the objective to evaluate the cost of wages of technical resources of any IT farm and the revenue coming after those resources are billed into a client’s project. Subsequently we have designed an LP based model to maximize the profit index.
在全球范围内,数十亿美元花费在构建软件项目的IT部门。构建软件是一个持续的过程,有很多危险,很多问题和变化。这些严重的中断可能会导致客户和IT公司的成本飙升。在本文中,我们的目标是评估任何IT农场的技术资源的工资成本,以及这些资源进入客户项目后的收入。随后,我们设计了一个基于LP的利润指数最大化模型。
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引用次数: 0
Garbage Monitoring and Disposal System for Smart City Using Iot 基于物联网的智慧城市垃圾监控与处理系统
Prasun Chowdhury, R. Sen, D. Ray, Purushottam Roy, Souradeep Sarkar
India’s garbage generation stands at 0.2 to 0.6 kilograms of garbage per head per day. Also, it is a well-known fact that land in India is scarce. The garbage collector who comes to our house every morning to empty our dustbins inside his truck, takes all the garbage from our neighbourhood and dumps it on an abandoned piece of land. Garbage collectors from all parts of the city meet there to do the same. Such a land is called a landfill. India’s per capita waste generation is so high, that it creates a crisis if the garbage collector doesn’t visit a neighbourhood for a couple of days. As the procedure is purely manual, we need to implement a smart way of garbage monitoring and disposal. This paper proposes anIoT (Internet of Things) based approach for garbage monitoring and its disposal using ultrasonic and MQ4 sensors. Ultrasonic sensor checks the level of garbage filled in the biodegradable and non-biodegradable "smart bins".MQ4 sensors check the level of odour in the biodegradable garbage bin.After the threshold level is crossed in the non-biodegradable smart bin, theinformation is sent to the municipal corporation (with the help of an application) for the disposal of the garbage. If the threshold level is crossed in the biodegradable bin, a lid slides and the wastes are dumped in the underlying chamber. This method is more convenient than the manual one and is an initiative towards ‘smart city’. It ensures proper disposal of garbage and a restoration of a green and healthy environment.
印度的垃圾产生量为每人每天0.2到0.6公斤。此外,众所周知,印度的土地稀缺。每天早上来我们家的垃圾收集员用他的卡车把我们的垃圾箱倒空,把我们附近所有的垃圾都扔到一块废弃的土地上。来自城市各地的垃圾收集者也在那里聚集做同样的事情。这样的土地被称为垃圾填埋场。印度的人均垃圾产生量如此之高,以至于如果垃圾收集者几天不去附近的社区,就会产生一场危机。由于这个过程是纯手动的,我们需要实现一种智能的垃圾监控和处理方式。本文提出了一种基于物联网的垃圾监测和处理方法,该方法采用超声波和MQ4传感器。超声波传感器检查生物可降解和不可生物可降解“智能垃圾箱”中的垃圾水平。MQ4传感器检查可生物降解垃圾桶中的气味水平。在不可生物降解的智能垃圾箱中,超过阈值后,信息将发送给市政公司(在应用程序的帮助下)处理垃圾。如果在可生物降解箱中超过阈值水平,则盖子滑动,废物被倾倒在下面的腔室中。这种方法比手动方法更方便,是迈向“智慧城市”的一项举措。它确保垃圾得到妥善处理,恢复绿色健康的环境。
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引用次数: 11
Big Data Ensure Homologous Patient Enduring Therapy Time Forecast Algorithm by Healing Facility Echelon Recommendation 基于大数据的治疗机构梯队推荐的同源患者持久治疗时间预测算法
T. Sandeep, K. Manoj, N. Reddy, R. R. Kumar
Effective patient line organization to constrain tolerance hold-up deferrals and patient overcrowdings is one of the genuine troubles increased by mending offices. Senseless and irritating sitting tight for long extends result in imperative human asset and time wastage and improvement of the oversight continued by patients. For every patient in the line, the aggregate therapy time of the indispensable number of patients before him is the time that he should hold-up. It would be significant and best if the patients could get the fit treatment design and know the standard holding up time through an adaptable application that updates endlessly. Consequently, we propose a patient enduring therapy time forecast to imagine the sitting tight time for each treatment undertaking for a patient. We use sensible patient data from various workplaces to get a patient therapy time show up for each endeavor. In setting of this widescale, sensible dataset, the therapy time for each patient in the present line of every errand is ordinary. In setting of the ordinary holding up time, a healing facility echelon recommendation structure is made. Healing facility echelon recommendation finds and predicts a fit and obliging therapy design proposed for the patient. By virtue of the monstrous scale, achievable data set and the necessity for resolute response, the patient enduring therapy time forecast estimation and healing facility echelon recommendation structure sort out plentifulness and low-lethargy response. We use an Apache Spark execution to fulfill the starting and ending targets. Wide experimentation and reenactment work outs as expected demonstrate the sensibility and congruity of our proposed model to recommend preparation of a practical treatment for patients to confine their hold-up times in recouping center interests.
有效的病人排队组织,以限制容忍拖延和病人过度拥挤是一个真正的麻烦增加了修补办公室。毫无意义和令人恼火的长时间坐着不动,导致必要的人力资产和时间浪费,以及患者继续改善监督。对于队列中的每一个病人来说,他前面的不可缺少的病人的治疗时间总和就是他应该坚持的时间。如果患者能够通过不断更新的适应性应用程序获得合适的治疗设计并了解标准等待时间,这将是非常重要和最好的。因此,我们提出了一个患者忍受治疗时间预测,以想象患者每次治疗的静坐时间。我们使用来自不同工作场所的合理患者数据来获得每个努力的患者治疗时间。在这个广泛的、敏感的数据集的设置中,每个病人的治疗时间在当前的每一项任务中都是普通的。在普通滞留时间设定下,构建了治疗设施梯队推荐结构。康复设施梯队推荐发现和预测适合和有义务的治疗设计建议的病人。凭借庞大的规模、可实现的数据集和坚决响应的必要性,对患者持久治疗时间的预测估计和治疗设施梯队推荐结构进行了丰富和低嗜睡响应的梳理。我们使用Apache Spark执行来完成开始和结束目标。如预期的那样,广泛的实验和再现工作证明了我们提出的模型的敏感性和一致性,以推荐为患者准备实际治疗,以限制他们在恢复中心利益方面的拖延时间。
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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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