2017 2nd International Conference for Convergence in Technology (I2CT)最新文献_第2页

Design and formal analysis of electronic voting protocol using AVISPA 基于AVISPA的电子投票协议设计与形式化分析

2017 2nd International Conference for Convergence in Technology (I2CT) Pub Date : 2017-04-07 DOI: 10.1109/I2CT.2017.8226084

Htet Ne Oo, Aye Moe Aung

引用次数: 2

Eager decision tree 急切决策树

2017 2nd International Conference for Convergence in Technology (I2CT) Pub Date : 2017-04-07 DOI: 10.1109/I2CT.2017.8226246

Sachin Gavankar, S. Sawarkar

引用次数: 33

Second order generalized integrator based synchronization technique for polluted grid conditions 基于二阶广义积分器的污染网格同步技术

2017 2nd International Conference for Convergence in Technology (I2CT) Pub Date : 2017-04-07 DOI: 10.1109/I2CT.2017.8226294

B. Misra, B. Nayak

引用次数: 11

A GSM based and speech enabled wireless annunciator window facia for substation automation 一种基于GSM和语音的变电站自动化无线信号窗口界面

2017 2nd International Conference for Convergence in Technology (I2CT) Pub Date : 2017-04-01 DOI: 10.1109/I2CT.2017.8226256

Ranjit P. Patil, A. Mulla, P. N. Joshi, J. M. Kharade

引用次数: 0

Facial expression recognition using wavelet transform and local binary pattern 基于小波变换和局部二值模式的面部表情识别

2017 2nd International Conference for Convergence in Technology (I2CT) Pub Date : 2017-04-01 DOI: 10.1109/I2CT.2017.8226147

A. Alsubari, D. N. Satange, R. Ramteke

引用次数: 12

Performance evaluation of PID, LQR and MPC for DC motor speed control PID、LQR和MPC在直流电机调速中的性能评价

2017 2nd International Conference for Convergence in Technology (I2CT) Pub Date : 2017-04-01 DOI: 10.1109/I2CT.2017.8226149

Siddhesh Dani, D. Sonawane, Deepak D. Ingole, S. Patil

引用次数: 18

Detection, categorization and suggestion to cure infected plants of tomato and grapes by using OpenCV framework for andriod environment android环境下OpenCV框架对番茄、葡萄侵染植株的检测、分类及防治建议

2017 2nd International Conference for Convergence in Technology (I2CT) Pub Date : 2017-04-01 DOI: 10.1109/I2CT.2017.8226270

A. Hase, Priyanka S. Aher, Sudeep K. Hase

引用次数: 6

AHP analysis for using cloud computing in supply chain management in the construction industry 建筑行业供应链管理中云计算应用的AHP分析

2017 2nd International Conference for Convergence in Technology (I2CT) Pub Date : 2017-04-01 DOI: 10.1109/I2CT.2017.8226323

G. Hemanth, Chella Sidhartha, Sameer Jain, Puppala Saihanish, V. Rohit

{"title":"AHP analysis for using cloud computing in supply chain management in the construction industry","authors":"G. Hemanth, Chella Sidhartha, Sameer Jain, Puppala Saihanish, V. Rohit","doi":"10.1109/I2CT.2017.8226323","DOIUrl":"https://doi.org/10.1109/I2CT.2017.8226323","url":null,"abstract":"Construction supply chain involves a multitude of stake holders, communication between different stake holders play the major role in construction projects. Cost and time over run of projects occur due to delay in communication. Despite of being one of the oldest industries, construction industry is still fragmented. Transferring and updating of information takes place repeatedly between different phases among different stake holders throughout the project lifecycle. Cloud Computing (CC) is a recent IT advancement which can be used as an effective tool to alleviate these issues. Cloud computing technology offers a good platform for sharing, accessing and storing of huge data involved in construction projects. Using CC, an individual can access and share information at any time and place via internet. The main objective of this research is to study and explore cloud computing technology as a tool to improve collaboration and communication in supply chain management. The traditional method of data storage and information transfer has its own limitations. Many construction projects are being delayed and there is a huge variation of planned and actual cost of construction. The factors which lead to these effects are very minor and if managed efficiently, we can achieve expected results using cloud computing. Many researchers have stated that deployment of cloud computing in construction process can improve communication and coordination, as well as mitigate delays and disputes. This paper tries identifying and solving various problems associated with in supply chain management of construction sector (e.g. Miscommunications, improper transfer of information etc. among various parties involved in supply chain process) using cloud computing technology.","PeriodicalId":343232,"journal":{"name":"2017 2nd International Conference for Convergence in Technology (I2CT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125322435","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: 6

Evaluating performance of the non-linear data structure for job queuing in the cloud environment 评估云环境中作业排队非线性数据结构的性能

2017 2nd International Conference for Convergence in Technology (I2CT) Pub Date : 2017-04-01 DOI: 10.1109/I2CT.2017.8226289

Sampa Sahoo, S. Mishra, Devang Swami, Md Akram Khan, B. Sahoo

{"title":"Evaluating performance of the non-linear data structure for job queuing in the cloud environment","authors":"Sampa Sahoo, S. Mishra, Devang Swami, Md Akram Khan, B. Sahoo","doi":"10.1109/I2CT.2017.8226289","DOIUrl":"https://doi.org/10.1109/I2CT.2017.8226289","url":null,"abstract":"Cloud Computing era comes with the advancement of technologies in the fields of processing, storage, bandwidth network access, security of the internet, etc. Several advantages of Cloud Computing include scalability, high computing power, on-demand resource access, high availability, etc. One of the biggest challenges faced by Cloud provider is to schedule incoming jobs to virtual machines(VMs) such that certain constraints satisfied. The development of automatic applications, smart devices, and applications, sensor-based applications need large data storage and computing resources and need output within a particular time limit. Many works have been proposed and commented on various data structures and allocation policies for a real-time job on the cloud. Most of these technologies use a queue-based mapping of tasks to VMs. This work presents a novel, min-heap based VM allocation (MHVA) designed for real-time jobs. The proposed MHVA is compared with a queue based random allocation taking performance metrics makespan and energy consumption. Simulations are performed for different scenarios varying the number of tasks and VMs. The simulation results show that MHVA is significantly better than the random algorithm.","PeriodicalId":343232,"journal":{"name":"2017 2nd International Conference for Convergence in Technology (I2CT)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125492809","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: 2

Wavelet based component fault detection in diode clamped multilevel inverter using probabilistic neural network 基于概率神经网络的二极管箝位多电平逆变器小波分量故障检测

2017 2nd International Conference for Convergence in Technology (I2CT) Pub Date : 2017-04-01 DOI: 10.1109/I2CT.2017.8226310

Monikuntala Bhattacharya, S. Saha, Dibyendu Khan, T. Nag

引用次数: 6