2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)最新文献_第9页

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

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/ICGCIOT.2018.8753053

Divya Pandey, Seema Hanchate Author

{"title":"Navigation based - Intelligent Parking Management System using Queuing theory and IOT","authors":"Divya Pandey, Seema Hanchate Author","doi":"10.1109/ICGCIOT.2018.8753053","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753053","url":null,"abstract":"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.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126851933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

[Front matter] (前页)

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/icgciot.2018.8752984

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

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/ICGCIOT.2018.8753106

P. K, Pawan Hegde

引用次数: 0

Bluetooth Home Automation 蓝牙家庭自动化

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/ICGCIOT.2018.8753094

Mahith M, Darshan Kumar S B, Prajwal K C, M. Dakshayini

引用次数: 5

Faults classification In A Microgrid Using Decision Tree Technique And Support Vector Machine 基于决策树和支持向量机的微电网故障分类

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/ICGCIOT.2018.8753088

B. Panigrahi, Bhagyashree Parija, Ruturaj Pattanayak, S. K. Tripathy

引用次数: 2

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

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/ICGCIOT.2018.8753020

Vijeta V. Barathe, S. S. Dhamse

{"title":"Design and Simulation Study of Hybrid Filter for Power Quality Improvement","authors":"Vijeta V. Barathe, S. S. Dhamse","doi":"10.1109/ICGCIOT.2018.8753020","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753020","url":null,"abstract":"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).","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128171257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

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

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/ICGCIOT.2018.8753102

Anupam Das, Mukul Sharma, Chayan Halder, Anirban Das, Sagar Kumar Dhawa, Krishnadas Banerjee

引用次数: 0

A review on Genetic Algorithm and Its Applications 遗传算法及其应用综述

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/ICGCIOT.2018.8753030

R. Singh, V. K. Panchal, B. Singh

引用次数: 16

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

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/ICGCIOT.2018.8753060

Prasun Chowdhury, R. Sen, D. Ray, Purushottam Roy, Souradeep Sarkar

{"title":"Garbage Monitoring and Disposal System for Smart City Using Iot","authors":"Prasun Chowdhury, R. Sen, D. Ray, Purushottam Roy, Souradeep Sarkar","doi":"10.1109/ICGCIOT.2018.8753060","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753060","url":null,"abstract":"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.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125559874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

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

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/ICGCIOT.2018.8753111

Bhavesh N. Gohil, D. Patel

{"title":"A hybrid GWO-PSO Algorithm for Load Balancing in Cloud Computing Environment","authors":"Bhavesh N. Gohil, D. Patel","doi":"10.1109/ICGCIOT.2018.8753111","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753111","url":null,"abstract":"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.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121396690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9