Sreenithy Chandran, Sneha Chandrasekar, N. Elizabeth
{"title":"Konnect: An Internet of Things(IoT) based smart helmet for accident detection and notification","authors":"Sreenithy Chandran, Sneha Chandrasekar, N. Elizabeth","doi":"10.1109/INDICON.2016.7839052","DOIUrl":"https://doi.org/10.1109/INDICON.2016.7839052","url":null,"abstract":"The objective of the smart helmet is to provide a means and apparatus for detecting and reporting accidents. Sensors, Wi-Fi enabled processor, and cloud computing infrastructures are utilised for building the system. The accident detection system communicates the accelerometer values to the processor which continuously monitors for erratic variations. When an accident occurs, the related details are sent to the emergency contacts by utilizing a cloud based service. The vehicle location is obtained by making use of the global positioning system. The system promises a reliable and quick delivery of information relating to the accident in real time and is appropriately named Konnect. Thus, by making use of the ubiquitous connectivity which is a salient feature for the smart cities, a smart helmet for accident detection is built.","PeriodicalId":283953,"journal":{"name":"2016 IEEE Annual India Conference (INDICON)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121183157","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}
{"title":"Adding CNNs to the Mix: Stacking models for sentiment classification","authors":"D. Vishwanath, Shubham Gupta","doi":"10.1109/INDICON.2016.7839062","DOIUrl":"https://doi.org/10.1109/INDICON.2016.7839062","url":null,"abstract":"In the recent years, sentiment analysis has emerged as a major research problem in the field of Natural Language Processing. Here, the problem is to identify the sentiment/emotion in given sentence/paragraph. Usually it is positive, negative and neutral. Here, we consider only binary classification task (positive and negative). We have considered the best performing sentiment analysis model which is a ensemble of NB-SVM, Paragraph2Vec and RNN. We added CNN into this stacking model and showed that our ensemble model perform better than the existing one. We achieved the state of the art performance on IMDB Movie review dataset, Stanford sentiment treebank dataset (SST) and Elec reviews dataset.","PeriodicalId":283953,"journal":{"name":"2016 IEEE Annual India Conference (INDICON)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113971489","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}
{"title":"Exploring radial pulse analysis using multi-scale entropy measures for pathologic condition indication","authors":"P. Joshi, R. Daruwala","doi":"10.1109/INDICON.2016.7838970","DOIUrl":"https://doi.org/10.1109/INDICON.2016.7838970","url":null,"abstract":"Radial pulse analysis — an important tool for patient diagnosis in Traditional Indian Medicinal(TIM) Science — Ayurveda, has been attempted for obtaining measures distinguishing between pathologic and healthy state condition. Electret based capacitance sensing mechanism & instrumentation has been build and implemented for sensing radial pulse perturbations. Pulse signal from healthy individual as well as pathologically identified & evaluated patients — parkinsonism, herpes-zoster infection condition and ischemic heart disease condition have been logged for extended period. Radial pulse analysis, using multi scale permutation entropy (MSPE), has been implemented. Identifiably distinct trajectory variations, of MSPE values for radial pulse signal in healthy and pathologic conditions have been observed. MSPE values at higher scales, for radial pulse signal in pathologic condition, result in lower values as compared to those for healthy condition. Objective evaluation of radial pulse signal for obtaining results similar to those arrived by a trained TIM physician, using sense perception, can contribute towards development of low-cost, value added, diagnostic tool.","PeriodicalId":283953,"journal":{"name":"2016 IEEE Annual India Conference (INDICON)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121883074","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}
{"title":"Sepic derived hybrid converter with simultaneous AC and DC outputs","authors":"Ajitha Tomy, A. J. Thomas","doi":"10.1109/INDICON.2016.7838883","DOIUrl":"https://doi.org/10.1109/INDICON.2016.7838883","url":null,"abstract":"A novel hybrid converter architecture called Sepic Derived Hybrid Converter(SDHC) which can provide ac output and step up or step down dc output simultaneously from a single dc input in a single-stage conversion is proposed. This architecture is derived from SEPIC(Single Ended Primary Inductor Converter) topology by replacing the control switch with a single phase inverter bridge network. Unlike traditional buck type voltage source inverters, the proposed topology has inherent shoot-through protection capability. Both the step-up/step-down dc and the single-phase ac outputs can be independently regulated. This topology have applications in nanogrid architecture in modern smart residential electric power system, electric vehicles, hybrid fuel cell, aircraft power distribution system etc. In this paper, principle of operation of SDHC is explained in detail and expression for its dc and ac conversion ratio derived. The validity and effectiveness of proposed converter and its control performance are verified by MATLAB Simulink and experimental results.","PeriodicalId":283953,"journal":{"name":"2016 IEEE Annual India Conference (INDICON)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127674230","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}
{"title":"Current injection modelling based large-signal analysis of a grid-connected solar photovoltaic power system","authors":"Santosh V. Singh, K. Shubhanga","doi":"10.1109/INDICON.2016.7839012","DOIUrl":"https://doi.org/10.1109/INDICON.2016.7839012","url":null,"abstract":"In recent years, penetration level of the grid-connected renewables has been increasing. These grid integration, affects the steady state as well as dynamic behavior of the power system network. In this paper, the conventional loadflow programme is modified to accommodate grid-connected solar photovoltaic (SPV) power system. A model of SPV-integrated power system is developed to carry out large-signal analysis. Various test cases are illustrated to appreciate the network behavior for varying meteorological variable and different grid-specifications pertaining to SPV power system. Critical clearing time of SPV-integrated power system is estimated.","PeriodicalId":283953,"journal":{"name":"2016 IEEE Annual India Conference (INDICON)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133733500","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}
{"title":"An efficient privacy-preserving multi-keyword ranked search over encrypted data in cloud computing","authors":"Shadab Ahmad, Pasupuleti Syam Kumar","doi":"10.1109/INDICON.2016.7838916","DOIUrl":"https://doi.org/10.1109/INDICON.2016.7838916","url":null,"abstract":"IT industry is booming. So, the requirement for resources is also on the increase. Industry requires more processing power and storage capability to meet their goal. Here, Cloud Computing comes in the picture, it provides IT industry the much-needed resources on a large scale at low cost and makes their task easy. Organizations can easily outsource their huge amount of data to cloud storage. However, the privacy of data is a big concern. The data privacy can be achieved by encryption techniques, but it increases the difficulty of securely searching data on the cloud because searching in encrypted data is itself a challenging task. Recently many schemes have been proposed but these schemes do not consider the semantic of the query. We proposed a novel method by combining LSI and hierarchical cluster to get the semantic relation between the result and to reduce the search space respectively. Further, to verify the search result authenticity, we use MAC tree along with a cryptographic signature. Through security and performance analysis we prove that our method is better than previous encrypted searchable schemes.","PeriodicalId":283953,"journal":{"name":"2016 IEEE Annual India Conference (INDICON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132225616","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}
{"title":"Distributed beacon scheduling for IEEE 802.15.4 cluster-tree topology","authors":"Nikumani Choudhury, Rakesh Matam","doi":"10.1109/INDICON.2016.7838864","DOIUrl":"https://doi.org/10.1109/INDICON.2016.7838864","url":null,"abstract":"The IEEE 802.15.4 standard provides a synchronization mechanism for devices connected in a star network topology using beacons. The lack of it in peer-to-peer network topology restricts its use to non-beacon mode. Addressing this issue, few protocols have been proposed based on either centralized or distributed approach. Irrespective of the approach, the three major criterion to evaluate different schemes are utilization of time slots, transmission count, and scalability. Centralized schemes are shown to incur high overhead and are not scalable. In this paper, we propose two distributed beacon scheduling mechanism that better utilize the available time slots, incur fewer transmissions and are highly scalable. In addition, the proposed works also lower the number of beacon frame collisions that otherwise leads to orphan nodes. The analytical study of both the mechanisms is presented along with proof of concept through simulation. A Markov chain model is defined to understand the different states of channel during transmission of frames.","PeriodicalId":283953,"journal":{"name":"2016 IEEE Annual India Conference (INDICON)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134163242","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}
{"title":"FLC-FPGA based digital controller for boost PFC SMPS without current measurement","authors":"A. Bhaskar, U. R. Babu","doi":"10.1109/INDICON.2016.7839148","DOIUrl":"https://doi.org/10.1109/INDICON.2016.7839148","url":null,"abstract":"Diode based bridge rectifiers (AC to DC power converters) are the widely used power supplies. The major drawbacks of the conventional diode bridge rectifiers and thyristor-based rectifiers (nonlinear loads) are low power factor and high current harmonics in AC supply. This paper presents the design of a digital controller for continuous conduction mode boost converter with power factor correction on Xilinx FPGA. It is designed to minimize or reduce input current harmonic distortion by reducing the total harmonic distortion (THD) and improving the power factor of power supplies. The pre-calculated duty cycle control is implemented in FPGA for power factor correction in order to avoid the costly and complex process of current measurement. To obtain stable output voltages even in the presence of uncertainties (load variations) and disturbances (input voltage variations) a voltage loop with a fuzzy logic controller is included.","PeriodicalId":283953,"journal":{"name":"2016 IEEE Annual India Conference (INDICON)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134224139","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}
{"title":"Design and development of subsea power and instrumentation system for new ocean current turbine power module","authors":"B. Pattanaik, D. Leo, Y. Rao, P. Jalihal","doi":"10.1109/INDICON.2016.7838982","DOIUrl":"https://doi.org/10.1109/INDICON.2016.7838982","url":null,"abstract":"The ocean current energy is one of the clean forms of available renewable energy sources. Based on the topography of the islands, the subsea current is comparatively more than the mainland. Most of the islands are not having self-sustained power sources due to the limitations of infrastructure even though the power requirement is less. The National Institute of Ocean Technology (NIOT) of Ministry of Earth Sciences has undertaken the research and development of an ocean current power module for such islands. The first prototype ocean current turbine (OCT) power module was tested at Macpherson Strait in the Andaman open sea. The subsea power module of the system comprises of the turbine, transmission system, generator and the associated power and instrumentation systems. The development and implementation of electrical and instrumentation system for an underwater OCT power module are one of the challenging task, hence the entire system required to be designed for in-situ conditions. This paper aims to describe the design of Power take off (PTO) system, data acquisition, and wireless communication of prototype ocean current power module trials in open sea conditions.","PeriodicalId":283953,"journal":{"name":"2016 IEEE Annual India Conference (INDICON)","volume":"275 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133104352","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}
{"title":"Short-term electrical load forecasting using predictive machine learning models","authors":"Karun Warrior, M. Shrenik, N. Soni","doi":"10.1109/INDICON.2016.7839103","DOIUrl":"https://doi.org/10.1109/INDICON.2016.7839103","url":null,"abstract":"Availability of cheap power through alternative means such as energy exchanges and bilateral agreements is resulting in short-term load forecasting gaining importance among industries, residential complexes and corporate buildings. Short-term forecasting over an hour or a day requires non-linear predictive models. Machine learning algorithms such as neural networks are inherently non-linear and are suitable for accurate forecasting. This paper compares neural networks, decision trees and Conditional Restricted Boltzmann Machines algorithms for forecasting short-term demand. The algorithms are tested on power consumption data acquired from two test sites with different consumption profiles.","PeriodicalId":283953,"journal":{"name":"2016 IEEE Annual India Conference (INDICON)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114591438","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}