G. H. Reddy, C. Behera, P. Chakrapani, A. Goswami, N. B. Dev Choudhury
{"title":"A Fuzzy based Crew Selection and Dispatch System for Distribution System Restoration after Natural Disasters","authors":"G. H. Reddy, C. Behera, P. Chakrapani, A. Goswami, N. B. Dev Choudhury","doi":"10.1109/INDICON.2017.8488151","DOIUrl":"https://doi.org/10.1109/INDICON.2017.8488151","url":null,"abstract":"Distribution systems are very vulnerable to natural disasters due to the high exposure of weather on the distribution system equipment. Natural disasters cause multiple outages which can includes equipment and infrastructure damage. A damaged region consists of multiple equipment damages with different severity levels. Therefore, distribution system restoration becomes a difficult task due to limitation of resources and repair crew abilities. Crew selection to repair a damaged region and crew dispatch are major problems during the restoration process. In this paper, a novel method is developed to evaluate the crew abilities to repair damaged regions based on fuzzy theory. The paper also presents the methods for prioritization of damaged regions and the subsequent crew dispatch to repair the damaged region subject to the different constraints.","PeriodicalId":263943,"journal":{"name":"2017 14th IEEE India Council International Conference (INDICON)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133629892","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":"Impact of intermittent wind and solar resources on the dynamics of power system under different loading conditions","authors":"Pankaj Jood, S. K. Aggarwal, V. Chopra","doi":"10.1109/INDICON.2017.8487782","DOIUrl":"https://doi.org/10.1109/INDICON.2017.8487782","url":null,"abstract":"This paper presents the impact of renewable energy systems i.e. wind and solar on the load frequency control aspects of power system. An interconnected two area power system is modeled with backlash in the governor and generation rate constraint (GRC) in the turbine dynamics. The system is integrated with wind and solar resources in the form of a time series data with a resolution of one fifth of a second. The impact of these two renewable energy resources on the frequency response of power system is analyzed in terms of maximum overshoot (Mp) and settling time (ts).","PeriodicalId":263943,"journal":{"name":"2017 14th IEEE India Council International Conference (INDICON)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131870715","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}
Samhita Kanthavar, Saniya Simeen, Manisha Chawla, S. Sarayu
{"title":"Design of an Architecture for Cloud Storage to Provide Infrastructure as a Service (IaaS)","authors":"Samhita Kanthavar, Saniya Simeen, Manisha Chawla, S. Sarayu","doi":"10.1109/INDICON.2017.8488000","DOIUrl":"https://doi.org/10.1109/INDICON.2017.8488000","url":null,"abstract":"Cloud computing involves provision of computer resources as a service over the internet. This service can be provided to the customer on a leased basis, with the option to be scaled up or down based on the customer's requirements. Cloud Storage is a service, rendered to companies or users that allows data to be stored, maintained and accessed remotely. In this paper, a novel architecture to build an infrastructure of a secure and scalable cloud for a private organization is described. This architecture is designed using open source technologies and tools. This low-cost approach provides secure storage, upload and download of data, in a flexible mode at a reasonable price.","PeriodicalId":263943,"journal":{"name":"2017 14th IEEE India Council International Conference (INDICON)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134162770","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":"Hyperbolic Feature-based Sarcasm Detection in Tweets: A Machine Learning Approach","authors":"S. Bharti, Reddy Naidu, Korra Sathya Babu","doi":"10.1109/INDICON.2017.8487712","DOIUrl":"https://doi.org/10.1109/INDICON.2017.8487712","url":null,"abstract":"In recent times, sarcasm analysis has been one of the toughest challenges in Natural Language Processing (NLP). The property of sarcasm that makes it difficult to analyze and detect is the gap between its literal and intended meaning. Detecting sarcastic sentiment in the domain of social media such as Facebook, Twitter, online blogs, reviews, etc. has become an essential task as they influence every business organization. In this article, a hyperbolic feature-based sarcasm detector for Twitter data is proposed. The hyperbolic features consist of intensifiers and interjections of the text. The performance of the proposed system is analyzed using several standard machine learning approaches namely, Naive Bayes (NB), Decision Tree (DT), Support Vector Machine (SVM), Random Forest (RF), and AdaBoost. The system attains an accuracy (%) of 75.12, 80.27, 80.67, 80.79, and 80.07 using NB, DT, SVM, RF, and AdaBoost respectively.","PeriodicalId":263943,"journal":{"name":"2017 14th IEEE India Council International Conference (INDICON)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114851978","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":"Shunt Hybrid Active Filter By Using Cascaded H Bridge Multilevel Inverter","authors":"V. Muneer, A. Bhattacharya","doi":"10.1109/INDICON.2017.8487573","DOIUrl":"https://doi.org/10.1109/INDICON.2017.8487573","url":null,"abstract":"The shunt active power filter is one of the major solutions for harmonics current in power distribution networks. These papers presents the hybrid topology for reducing the rating of the voltage source inverter (VSI) of shunt active power filter and also provide the simultaneous harmonic current mitigation and reactive power compensation. The hybrid topology developed by using convectional shunt active filter in series with capacitor and cascade H bridge multilevel inverter (CHB MLI). Two-level voltage source inverter provides harmonic compensation and cascade H bridge multilevel inverter provides reactive power compensation to the system. The switching signal for MLI is generated by using level shifted PWM and bipolar sinusoidal PWM was used for two level inverter (VSI). Compared to conventional shunt filter, the DC link voltage is shared by dc link capacitor of VSI, DC link capacitor of MLI and series capacitor because in the system the all capacitors are connected in series. So rating of switches is effectively reduced. Hybrid active shunt filter is modeled and the response is obtained through MATLAB SIMULINK toolbox.","PeriodicalId":263943,"journal":{"name":"2017 14th IEEE India Council International Conference (INDICON)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117193297","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}
Gitika Yadu, S. Nayak, Debasisha Panigrahi, I. Banerjee, K. Pal, A. Anis
{"title":"Understanding the Effect of a Motivational Music on Indian Male Volunteers Using Recurrence Analysis and ANN Classification","authors":"Gitika Yadu, S. Nayak, Debasisha Panigrahi, I. Banerjee, K. Pal, A. Anis","doi":"10.1109/INDICON.2017.8487870","DOIUrl":"https://doi.org/10.1109/INDICON.2017.8487870","url":null,"abstract":"This paper presents a framework to explore the effect of music (motivational song) on cardiac physiology using recurrence analysis. For the characterization of the ECG signals, recurrence has been reported to be an effective tool. This non-linear dynamic method has been considered economical than other computational methods. The ECG data were acquired from eighteen male volunteers. The signals were further processed to extract the R-R intervals (RRI). Recurrence analysis of the ECG and the RRI signals suggested a reduction in the isometric recurrence in the post-stimulus condition, and hence, a corresponding increase in the heart rate variability. The variation was also evidenced from the ANN classification of the ECG and the RRI signals with efficiency of ≥ 85%.","PeriodicalId":263943,"journal":{"name":"2017 14th IEEE India Council International Conference (INDICON)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115922182","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":"Space Shift Keying Performance with Dual-Hop AF Relay over Mixed Fading","authors":"H. Sahu, P. R. Sahu","doi":"10.1109/INDICON.2017.8487550","DOIUrl":"https://doi.org/10.1109/INDICON.2017.8487550","url":null,"abstract":"In this paper, space shift keying modulation (SSK) performance is analyzed for a $2times 1$ multiple-input-single-output (MISO) wireless communication system with dual-hop amplify-and-forward (AF) relaying systems over mixed Rayleigh and two-wave with diffuse power (TWDP) fading channels. The cumulative distribution function (CDF) expression is derived for the end-to-end signal-to-noise ratio and it is used to evaluate the average bit error probability (ABEP) of SSK modulation in mixed fading channel. Obtained ABEP expression is in the form of Whittaker function which can be numerically evaluated using its numerical or series representation. Numerical and simulation results are presented to illustrate the impact of fading parameters on the system performance.","PeriodicalId":263943,"journal":{"name":"2017 14th IEEE India Council International Conference (INDICON)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115244751","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":"Dynamic Stress Assessment in Power Transmission Network to Support Wide Area Early Warning System","authors":"M. K. Jena, B. K. Panigrahi","doi":"10.1109/INDICON.2017.8487470","DOIUrl":"https://doi.org/10.1109/INDICON.2017.8487470","url":null,"abstract":"This paper suggests a conceptual framework for dynamic stress assessment in power transmission system to support wide area early warning system (WAEWS). Two indices termed as “relative center of reactive power voltage reference (RCORPVR) and relative center of active power speed reference (RCOAPSR) are introduced to access stress level of a power system. The suggested technique is validated on IEEE-39 bus test system. The proposed framework can be integrated with the existing energy management system (EMS). This will enhance overall situational awareness of the power system, which is very much essential to prevent cascaded outages leading to blackouts.","PeriodicalId":263943,"journal":{"name":"2017 14th IEEE India Council International Conference (INDICON)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123295751","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":"A Levy Flight Firefly Optimizer based Piecewise Gamma Corrected Unsharp Masking Framework for Satellite Image Enhancement","authors":"Himanshu Singh, Anil Kumar, L. Balyan","doi":"10.1109/INDICON.2017.8487501","DOIUrl":"https://doi.org/10.1109/INDICON.2017.8487501","url":null,"abstract":"In this paper, an efficiently modified lévy-flight based biologically inspired firefly optimizer is employed in association with a novel optimally weighted piecewise gamma corrected unsharp masking framework for imparting overall quality improvement of remotely sensed dark satellite images. The key intelligence is to utilize a weighted summation of intensity as well as texture based enhancement along with an efficiently defined cost function. The cost function is framed such that more and more intensity span can be explored in a positive manner. Here, the unsharp masking takes care for enhancing the high frequency content of the images. In association with it, piecewise gamma correction is also imparted to enhance the intensity channel of the input image. Rigorous experimentation is executed by employing the performance evaluation and comparison with pre-existing recently proposed and highly appreciated quality enhancement approaches.","PeriodicalId":263943,"journal":{"name":"2017 14th IEEE India Council International Conference (INDICON)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122039190","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}
E. G. Prathima, S. Iyengar, K. Venugopal, L. Patnaik
{"title":"EDDA: Event-Driven Data Aggregation in Wireless Sensor Networks","authors":"E. G. Prathima, S. Iyengar, K. Venugopal, L. Patnaik","doi":"10.1109/INDICON.2017.8487934","DOIUrl":"https://doi.org/10.1109/INDICON.2017.8487934","url":null,"abstract":"Multiple events may occur simultaneously in heterogeneous sensor networks. It is necessary to aggregate event specific data. Event-Driven Data Aggregation (EDDA) is designed to efficiently gather aggregated data and route event specific data from the location of an event to the base station. The sensor nodes that have detected an event organize into an aggregation tree from the location of event to the base station. The nodes that do not detect the event relay the data to the base station. Such nodes integrate the data from different events into a single packet by prefixing a tag indicating the event type. The performance analysis shows that the EDDA algorithm incurs less energy consumption than existing state-of-the-art algorithms.","PeriodicalId":263943,"journal":{"name":"2017 14th IEEE India Council International Conference (INDICON)","volume":"331 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122144865","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}