2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)最新文献

{"title":"IP Packet Forwarding Mechanism in Multi-Hop Tactical Wireless Networks","authors":"S. G, Ramesh K S, Sailaja Ungati, Shashikant Chaudhari","doi":"10.1109/ICECA.2018.8474704","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474704","url":null,"abstract":"Today's modern tactical operations are going towards the concept of Network Centric Warfare. In such military operations, tactical wireless networks require high demands for robustness, responsiveness, reliability, availability and security. One of the key requirements of the tactical user expectation is to efficiently utilize the available bandwidth. IP packet routing in the tactical wireless networks which are connected via IP radios consume more system bandwidth in order to maintain the up-to-date information. Complex routing protocols have to be implemented in the radio as embedded software modules in order to exchange the IP routing information. This will consume the system bandwidth thereby throughput will be reduced. Moreover, hop by hop routing method will reconstruct the entire IP packet by changing the destination MAC address in every hop thereby packet processing time will be increased. In this paper, we have proposed two simple and efficient IP packet forwarding schemes for multi-hop tactical wireless networks which are connected via radios. Both schemes make use additional parameters such as unique radio identifier and associated IP Address/MAC address table during the topology discovery process using the link state routing algorithm. After successful topology discovery, each wireless node in the network will get to know the entire network topology in terms of a table containing the radio connectivity list and each radios associated LAN IP address/MAC address. This network topology table will be used in during the packet forward decision making process. The associated IP/MAC address to node Id mapping table will be used to find the destination radio Id from the incoming IP packet. The forwarding radio nodes will examine only the radio header portion of the received IP packet instead of analyzing & reconstructing the entire IP packet thereby packet processing time will be reduced at each intermediate wireless node. There by packet processing time will be reduced. The proposed approach also supports for forwarding of broadcast and multicast IP packets to enable group communication among the IP networks which are connected via the IP radios. Overhead for both of the proposed approaches are very minimal and consume less bandwidth.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125272406","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":"Convolutional Neural Network for ASR","authors":"Sourav Newatia, R. Aggarwal","doi":"10.1109/ICECA.2018.8474688","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474688","url":null,"abstract":"In Automatic speech recognition paradigm has been shifted from statistical model (GMM-HMM) to deep neural network. Among various types of Deep neural networks architecture, CNNs have been most broadly used and considered. There are many advanced features in CNNs like weight sharing, local filters and pooling etc. An ideal pooling method is to be expected to extract only useful information and discards irrelevant details. Pooling is an important component of CNN to be highlighted. Hence, to understand and select the best pooling technique, this paper aims to provide a broad survey on different types of pooling techniques applied in CNNs architecture. This paper will also summarize the improvements of CNNs, including key properties of CNNs, architecture of CNNs.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126914493","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 Review on Machine Learning Algorithm for EEG Signal Analysis","authors":"S. Dhivya, A. Nithya","doi":"10.1109/ICECA.2018.8474801","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474801","url":null,"abstract":"The electroencephalogram (EEG) signal is used to represents and records the electrical activity of the brain. The information obtained from the signals is useful for diagnosing and analyzing various brain diseases and brain conditions. If the brain diseases are left unidentified it leads to death. The early detection of brain diseases is very important to reduce the modality rate. For easy analysis of various brain activities some machine learning techniques like SVM, k-Means, ANN, Linear Classifier and XG Boost have been reviewed in this paper.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"2004 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125796845","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":"Garbage Management using Internet of Things","authors":"Pallavi Nehete, D. Jangam, Nandini Barne, Prajakta Bhoite, Shalaka Jadhav","doi":"10.1109/ICECA.2018.8474659","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474659","url":null,"abstract":"Smart city is another powerful application of IOT generating curiosity among world's population not only to keep our city clean and neat but also to decreased the griminess, nastiness produced by the dustbins that will be controlled by using iOT garbage monitoring Sometimes in various areas dustbins were overload and it cause viral diseases. To avoid these we can use smart dustbin in which GSM board send massage by detecting the level of garbage with the help of IR (Infrared Rays) in the dustbin. Most of the times hungry stray animals for e.g. -dogs, cats, cows, etc. Will eat that overflowed garbage which contain plastic, toxic medicine etc., it will cause harm to their health. the main purpose of these system is to control garbage, human efforts, to make smart city.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132673624","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":"Application of Satellite Remote Sensing and Image Processing Techniques to Understand the Sea Ice Variability in the Weddell Sea Sector of Antarctica","authors":"S. Tom, H G Virani","doi":"10.1109/ICECA.2018.8474797","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474797","url":null,"abstract":"The spatial and time-based variations of sea ice concentration / cover (SIC) and sea ice extent (SIE) trend were analysed using satellite-derived passive microwave radiometers data over a period of 37-years (1979–2015). In contrast to global warming sea-ice around Antarctica exhibits an expansion whereas in the sector-wise studies it shows increasing and decreasing patterns. In total, SIE of Antarctica exhibits positive yearly trends ($mathbf{24.9}pm mathbf{4.4 10}^{mathbf{3}}mathbf{km}^{mathbf{2}} mathrm{year}^{-1}; mathbf{2.1}pm mathbf{0.4} %mathrm{decade}^{-1}$). The Weddell sea sector shows an increase in SIE trend $(mathbf{5.2}pm mathbf{1.8 10}^{mathbf{3}}mathbf{km}^{mathbf{2}} mathrm{year}^{-1}; mathbf{2.6}pm mathbf{0.9} %mathbf{decade}^{mathbf{-1}})$, attributed to atmosphere and ocean sea ice interactions such as air temperature, pressure, ocean currents and wind components. The seasonal trends of this sector show both positive and negative trends controlled by the thermodynamic effect of winds. Significant positive trends were observed in the summer $mathbf{(20.4}pm mathbf{5.4 10}^{mathbf{3}}mathbf{km}^{mathbf{2}}mathbf{year}^mathbf{{-1}})$ and the spring $mathbf{(1.9}pm mathbf{5.3 10}^{mathbf{3}}mathbf{km}^{mathbf{2}} mathrm{year}^{-1}$) seasons. In contrast, negative trends were observed in the autumn $mathbf{(-12.4}pm mathbf{9.5 10}^{mathbf{3}}mathbf{km}^{mathbf{2}}mathbf{year}^{mathbf{-1}})$ and the winter $mathbf{(-2.5}pm mathbf{4.9 10}^{mathbf{3}}mathbf{km}^{mathbf{2}} mathrm{year}^{-1}$) seasons. Remote forcing's such as El Niño–Southern Oscillation (ENSO), Southern Annular Mode (SAM), Southern Oscillation Index (SOI) and temperature indices contribute to the increase of sea ice by producing variabilities in the wind fields. The study demonstrates the application of satellite remote sensing techniques to understand the sea ice variabilities and dynamics of southern hemisphere using high resolution physical and climatic forcing's.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130065525","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":"RFID based Logistic Management System using Internet of Things (IoT)","authors":"A. Laxmi, Ayaskanta Mishra","doi":"10.1109/ICECA.2018.8474721","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474721","url":null,"abstract":"In the era of IoT and data analytics this paper has proposed system architecture for RFID based shipment tracking using Raspberry Pi equipped with RFID RC522 module. Light weight MQTT protocol is used for publishing real-time passive RFID tag data to CloudMQTT broker from Raspberry Pi. Further the logistics management and monitoring can be done using web based multiple platform GUI using MQTT subscribe message from MQTT broker. Using data analytics tool various logistic related data can be automated for better logistic management. Raspberry Pi uses python based Mosquitto MQTT client program to publish data to CloudMQTT broker using an IEEE 802.11 Wireless LAN NIC.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132019328","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":"G-PY: A Game Playing AI to Simulate Real Time Close-Quarter Firefights Using 3D First-Person-Shooter Games","authors":"V. Naidu, Jaspreet Kaur Bhamra, A. Ansari, Jignesh Sisodia","doi":"10.1109/ICECA.2018.8474885","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474885","url":null,"abstract":"This paper is regarding the proposal of the use of virtual environments to create, test and improve complex algorithms that power battle-ready drones which are deployed in actual war environments. An overview of the drone's operation would include the use of extensive image recognition to identify and differentiate enemies and friendlies, the environment and the objectives, static and interactable objects, all possible through training, using thousands of samples. The navigation of the drone is made possible using a specialized area recognition, memorizing and tracing algorithm. The weapons system used is similar to that of an average human militant, for the purpose of training, testing and calibration, and it employs a ‘Flick Shot’ algorithm to maximize the hit probability even in processors with lower computation power. The damage and loss of property sustained during deployment of these drones during field work, and the difficulty in training them with dummies which never are a 100% imitation of the enemies' technology, and the cost incurred, all can be avoided by using the proposed model.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130917589","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":"FSO Link Performance Analysis with Different Modulation Techniques under Atmospheric Turbulence","authors":"Manish Sahu, K. Kiran, S. Das","doi":"10.1109/ICECA.2018.8474849","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474849","url":null,"abstract":"Free space optics (FSO) has achieved prominence in extremely large bandwidth, unlicensed spectrum and low power secure transmission in the field of wireless communication. Despite the advantages, it is deeply impacted due to atmospheric turbulence and fog weather conditions. This paper considers different modulation schemes under the presence of atmospheric turbulence and fog conditions. The desired expression of bit error rate (BER) is obtained by modeling the turbulence as gamma-gamma distributed channel and under this channel condition, 16-PPM has provided better performance than other schemes. BER is considered for the channel performance evaluation. This analysis can help to adopt a modulation technique according to the channel condition.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"281 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114163879","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 Review on Design and Analysis of 5G Mobile Communication MIMO System with OFDM","authors":"Saurabh B. Ramteke, A. Deshmukh, K. Dekate","doi":"10.1109/ICECA.2018.8474695","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474695","url":null,"abstract":"In today's modern era the speed of mobile communication system plays an important role in human's life. As numbers of customers are rapidly increases, there is necessity of improvement in speed of the network with as low as delay. Starting from first generation mobile communication speed makes the difference and researchers attracts to improve the speed of the network. When 3G and 4G are not fulfilling the gap of speed in human and their use then it is important to design 5G mobile communication system. 5G is planning to target at higher capacity than current 4G system, with higher density of mobile broadband customers. In this paper the design of 802.11 based 5G mobile communication systems with MIMO (Multiple Input Multiple Output) and OFDM (Orthogonal Frequency Division Multiplexing) techniques are explained. In this work AODV i.e. Adhoc on demand distance vector routing protocol which is reactive routing protocol is used. Here AODV technique is used to achieve higher throughput and high gain The network is evaluated on the basis of throughput, delay and packet delivery ratio of designed mobile communication system. Here Network Simulator 2 is used to design this proposed system.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127442309","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":"Simplified Recruitment Model Using Text-Mining on Psychometric and Aptitude Tests","authors":"Shreya Sawleshwarkar, Nisha Rangnani, Vijeta Mariwalla, Aparna Halbe","doi":"10.1109/ICECA.2018.8474769","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474769","url":null,"abstract":"In the present day working scenario, job recruitment has become a time-consuming process for the HR department. Not only that, the results of the prevailing recruitment system are often unsatisfactory, as reflected in the frequent job changes, employee dissatisfaction and overall inefficiency. Through the proposed model, we plan to simplify and automate the process with an additional stress of psychometric tests. Psychometric tests prove to be useful in mapping the personality, aptitude and qualities of candidates with the jobs they are applying for. Text mining is performed on the answers, based on a scoring mechanism that serves to produce a shortlist for a given job. This model can work for several recruitment areas and jobs, as need be.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123705419","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}