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Recent Papers

A Beam Technology on the Pen

Today we see projector everywhere which run on the different techniques. This has made life of the user to costlier. So, we present a work on beam or a halo technique on the pen. This technology gives projecting information on the walls. The main implementation behind is applying a beam or a halo technology to the pen, and then we can use that pen to projecting an information on the walls. The projector used is LCD projector.

Published by: Pradeep M, B.C Arjun

Author: Pradeep M

Paper ID: V1I1-1138

Paper Status: published

Published: May 4, 2015

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Human Factor Considerations in Sewing Machine for Workstation Design

There is a need of ergonomically fit sewing machine workstation so that sewing machine operators can perform their tasks comfortably. The present study was initiated where worker’s perceptions were measured by preparing questionnaire to find out difficulties during sewing machine work. Questionnaires were filled up by 100 sewing machine operators from different parts of the region. Questionnaire included the different modules which are Perceived posture, localized postural discomfort and estimated endurance time. Worker’s perceptions were analyzed by finding their critical values. Criticality index of questionnaire was calculated for concluding the most critical areas. Based on the criticality index, recommended parameters were performed on selected operators. Nine sewing machine operators performed experiments at twelve different combinations of table height, desk slope and pedal position. ANOVA technique was used to analyze the data obtained from nine selected sewing machine operators after performing experiments and the dimensional adjustment of sewing machine workstation was made, in relation to desk height, desk slope and pedal position. The recommendations were formulated in order to minimize the load on the musculoskeletal system during operation in terms of anthropometric dimensions with respect to sewing desk height, desk slope and pedal position. Statistical methods were used to find out the significance of the parameters considered in the study. So sewing machine workstation is said to be best fitted; only if it will have desk height +10 cms (above elbow height), desk slope 10° and pedal position -4 cms.

Published by: Gurbhej Singh, Hitesh Vasudev

Author: Gurbhej Singh

Paper ID: V1I1-1137

Paper Status: published

Published: May 3, 2015

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Local Feature based Descriptors and their Applications

This paper presents a study on SIFT (Scale Invariant Feature transform) which is a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene. The features are invariant to image scaling, translation, and rotation, and partially invariant to illumination changes and affine or 3D projection and SURF (Speeded-up Robust features) which is speeded up the SIFT’s detection process without scarifying the quality of the detected points. SURF approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster.

Published by: Ridhi Jindal

Author: Ridhi Jindal

Paper ID: M1P3-1137

Paper Status: published

Published: January 3, 2015

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A Beam Technology on the Pen

Today we see projector everywhere which run on the different techniques. This has made life of the user to costlier. So, we present a work on beam or a halo technique on the pen. This technology gives projecting information on the walls. The main implementation behind is applying a beam or a halo technology to the pen, and then we can use that pen to projecting an information on the walls. The projector used is LCD projector.

Published by: Pradeep M, B.C Arjun

Author: Pradeep M

Paper ID: M1P2-1145

Paper Status: published

Published: November 20, 2014

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Classifications & Misclassifications of EEG Signals using Linear and Ada Boost Support Vector Machines

Epilepsy is one of the frequent brain disorder due to transient and unexpected electrical interruptions of brain. Electroencephalography (EEG) is one of the most clinically and scientifically exploited signals recorded from humans and very complex signal. EEG signals are non-stationary as it changes over time. So, discrete wavelet transform (DWT) technique is used for feature extraction. Classifications and misclassifications of EEG signals of linearly separable support vector machines are shown using training and testing datasets. Then AdaBoost support vector machine is used to get strong classifier.

Published by: Neelam Rout

Author: Neelam Rout

Paper ID: M1P2-1150

Paper Status: published

Published: November 20, 2014

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Research Paper

Dynamic Load Calculation in a Distributed System using Centralized Approach

The building of networks and the establishment of communication protocols have led to distributed systems, in which computers that are linked in a network cooperate on a task. The task is divided by the master node into small parts (sub problems) and is given to the nodes of the distributed system to solve, which gives better performance in time complexity to solve the problem compared to the time required to solve the problem in a single machine. Load balancing is the process of redistributing the work load among nodes of the distributed system to improve both resource utilization and job response time while also avoiding a situation where some nodes are heavily loaded while others are idle or doing little work. So before sending these parts of problem by the master to the nodes, master node should know the actual work load of all the nodes. We try a dynamic approach to find out the work load of each participating nodes in the distributed system by the master before sending the parts of the problem to the nodes. This paper describes an algorithm which runs in the master machine and collects information from the nodes of the distributed system(client server application) and calculates the current work load of the nodes of the distributed system. The algorithm is developed in such a way that it can calculate the loads of the nodes dynamically. This means the loads can be evaluated if new nodes are added or deleted or during current performance of the nodes. The whole system is implemented on linux machine and local area network.

Published by: Biswajit Sarma, Srishti Dasgupta

Author: Biswajit Sarma

Paper ID: M1P2-1146

Paper Status: under-process

Submitted: November 20, 2014

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