Improve Data Accessibility and Reduce Query Delay in MANETs
Author: A. Thirumurthiraja
Abstract
Mobile Ad Hoc Network is a collection of mobile nodes forming an ad hoc network without the assistance of any centralized structures. There are many protocols to improve data accessibility and reduce query delay in MANETs. Some of these protocols have adopted the cooperative caching scheme, allowing multiple mobile hosts within a neighbourhood to cache and share data items in their local caches. Cross-layer optimization has not been fully exploited to further improve the performance of cooperative caching. A cluster based cooperative caching scheme is proposed and a cross-layer design approach is employed to further improve the performance of cooperative caching and prefetching schemes. The cross-layer information is maintained in a separate data structure and is shared among network protocol layers. The experimental results in the NS-2 simulation environment demonstrate that the proposed approach improves caching performance in terms of data accessibility, query delay and query distance compared to the caching scheme that does not adopt the cooperative caching strategy.
Intelligent Water Drop Algorithm For Workflow Scheduling In Cloud Computing
Author: Mr.C.B.Sivaparthipan, Mr.S.Sathish kumar
Abstract
Cloud Computing offers hardware and software as a resource on internet. An IT infrastructure can be setup without any capital investment and reduces the space for infrastructure at premise. Resource scalability and pay per use basis are the remarkable advantages by using cloud computing. Cloud Computing is promoted by the business rather than academic which determines its focus on user applications. In Cloud environment, the processing of an application is done by dividing into small workflows and scheduling them to get the expected result. These workflows are scheduled based on some Quality of Services (QoS). Different users have different QoS Requirements. Scheduling is a very important part of the cloud computing system. This paper introduces an optimized algorithm for scheduling based on Intelligent Water Drop algorithm in cloud computing and its implementation with an objective of minimizing the cost. The algorithm efficiently completes scheduling in the cloud computing environment computing.
An Android App to remind the Medication
Author: P Sreedhar, M Sri Manvitha, M Venkata Surekha, T JayaVani , T Sujatha, R Vamsi Krishna
Abstract
In modern society, busy life has made people forget many things in day to day life. The elderly people and the people victims of chronicle diseases who need to take the medicines timely without missing are suffering from dementia, which is forgetting things in their daily routine. Considering this situation study has been done in this. Paper reviewing the technologies of home health care which are currently used for improving this situation by reminding the scheduled of medicine, remote monitoring and update new medicine data of patients, which can be done by prescriber through web.
Effective Utilization of Road Space on the Selected Road Links of Ahmedabad City
Author: Utsav Prajapati, Vijay J. Chitaria
Abstract
Ahmedabad is metropolis rapid growing city of Gujarat, in many regions of Ahmedabad multi lanes road serves different purposes like vehicular traffic, pedestrians, bicycles, public transit system etc. But with uneven or non-uniform distribution of space for each activities. So, there will be a need to allocate most appropriate and sufficient space with proper utilization of road space. In this research, the main aim of the study is effective utilization of road space throughout day without any undesirable congestion. Also suitable space allocation and designing to attain economy in capital cost as well as maintenance and operations cost of road user. This research affords to study the level of utilization of spaces allocated in urban roads of study area for different purposes and collect the information’s regarding traffic volume count, speed-delay studies, pedestrian traffic survey, LOS of the existing condition. Traffic data collected on a section of a six- lane divided roadway (one-way movement only) are used to develop the speed-flow curve. It is observed that capacity is 1791 PCU/hour and 1924 PCU/hour for IIM mid- block and at Shivranjani mid-block observed capacity is 2194 PCU/hour and 2060 PCU/hour respectively. The observed capacity compared with capacity suggested by INDO-HCM 2017. At IIM mid-block the observed capacity is nearly 57.35% and 54.19% lower than the capacity suggested by INDO-HCM 2017. At Shivranjani mid- block the capacity suggested by INDO-HCM 2017 is nearly 2.28% and 5.67% higher than the observed capacity.
An Approach for Human Activity Recognition Using Supervised Machine Learning
Author: Madhavi Jangam, Prof. Hirendra
Abstract
In this paper ,we are trying to build a classification model which will recognise the activities through the mobile sensor like walking ,walking_upstairs ,walking_downstairs ,sitting ,standing,lying.The topic Human Activity recognition is in research and has its own advantages like anomaly detection, for healthy diet maintenance fitness bands are used , measuring stress level ,for monitoring employees ,for heartbeat pulse rate etc. We are going to focus on the dataset which was carried out through experiments with a group of 30 volunteers wearing a smartphone on the waist. Using its embedded accelerometer and gyroscope.The experiments have been video-recorded to label the data manually.The main motto is to use the dataset and work with the libraries like scikit learn and machine learning related libraries and algorithms while training