Pub Date : 2018-08-01DOI: 10.1109/I-SMAC.2018.8653719
Kavita K. Ahuja
The task of publications and citations count is lead to predict the publication and citation for the future periods of time. The existing dataset is used as training data to compute the prediction model with the use of linear regression. The prediction will be help full to the government and funding agencies to reserve grant amount to provide to the universities of the country as per growth of publication for the future. The paper proposed two types of analysis, one is to find the no of universities growth above the average and below the average growth with respect to total number of universities. The training dataset are of the year 2011 to 2016 dataset of all over the universities publication and citation details. The predictions are for the year 2017 and onwards. It is to be predicted to have above the average growth in publications by 7.85% and also predicted to have above average growth in citation of universities by 6.62% for the year 2017-2019.
{"title":"Prediction for Citation and Publication Count Using Regression Analysis","authors":"Kavita K. Ahuja","doi":"10.1109/I-SMAC.2018.8653719","DOIUrl":"https://doi.org/10.1109/I-SMAC.2018.8653719","url":null,"abstract":"The task of publications and citations count is lead to predict the publication and citation for the future periods of time. The existing dataset is used as training data to compute the prediction model with the use of linear regression. The prediction will be help full to the government and funding agencies to reserve grant amount to provide to the universities of the country as per growth of publication for the future. The paper proposed two types of analysis, one is to find the no of universities growth above the average and below the average growth with respect to total number of universities. The training dataset are of the year 2011 to 2016 dataset of all over the universities publication and citation details. The predictions are for the year 2017 and onwards. It is to be predicted to have above the average growth in publications by 7.85% and also predicted to have above average growth in citation of universities by 6.62% for the year 2017-2019.","PeriodicalId":53631,"journal":{"name":"Koomesh","volume":"51 1","pages":"460-463"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74240460","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}
Pub Date : 2018-08-01DOI: 10.1109/I-SMAC.2018.8653666
Nallapaneni Manoj Kumar, P. R. Krishna, Pavan Kumar Pagadala, N. M. Saravana Kumar
Smart glasses proven to be one of the modern computing devices that unite the humans and machines with the help of information and communication technology (ICT). In recent years, it is seen that smart glasses have been used in the medical and gaming applications. However, the features of smart glasses can contribute its services in other fields too. In this paper, a study is carried out to explore the possible application of smart glasses in the education sector. In the investigation, most features of smart glass were found to be in favours with the requirements of teaching and learning process adopted in the education sector. Typical applications of wearable smart glass in education include the augmented reality, documentation of lecture, on-site report preparation, recording lectures as videos, capturing essential points as images, telementoring, trainee’s evaluation, understanding the listener's experience and nature, student concentration evaluation etc. Besides, these the possible benefits of adopting and challenges in implementing are also explored. The outcome of this study suggests that the implementation of smart glasses in the education sector will enhance the concept of ICT education.
{"title":"Use of Smart Glasses in Education-A Study","authors":"Nallapaneni Manoj Kumar, P. R. Krishna, Pavan Kumar Pagadala, N. M. Saravana Kumar","doi":"10.1109/I-SMAC.2018.8653666","DOIUrl":"https://doi.org/10.1109/I-SMAC.2018.8653666","url":null,"abstract":"Smart glasses proven to be one of the modern computing devices that unite the humans and machines with the help of information and communication technology (ICT). In recent years, it is seen that smart glasses have been used in the medical and gaming applications. However, the features of smart glasses can contribute its services in other fields too. In this paper, a study is carried out to explore the possible application of smart glasses in the education sector. In the investigation, most features of smart glass were found to be in favours with the requirements of teaching and learning process adopted in the education sector. Typical applications of wearable smart glass in education include the augmented reality, documentation of lecture, on-site report preparation, recording lectures as videos, capturing essential points as images, telementoring, trainee’s evaluation, understanding the listener's experience and nature, student concentration evaluation etc. Besides, these the possible benefits of adopting and challenges in implementing are also explored. The outcome of this study suggests that the implementation of smart glasses in the education sector will enhance the concept of ICT education.","PeriodicalId":53631,"journal":{"name":"Koomesh","volume":"41 1","pages":"56-59"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82200570","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}
Pub Date : 2018-08-01DOI: 10.1109/I-SMAC.2018.8653736
B. Padmaja, P. Narasimha Rao, M. Madhu Bala, E. K. Rao Patro
Autonomous car is a ground vehicle that is capable of driving without user interference. Traffic congestion and number of collisions are major issues in road traffic control due to rapid increase day-by-day. Autonomous cars provide a solution to this problem in an efficient and economical way. The proposed system utilizes mathematical models like neural networks and image processing techniques to sense the environment. This is implemented as three major components: curved road detection (steering), road sign and signal detection and obstacle detection (collision avoidance). Back Propagation is used for steering control with detection of curved roads; Haar features are used for road signal, sign detection and a distance sensor for collision avoidance. Data collected from the sensors is sent to a server for processing. Based on the result, a command is sent to the car. A GPS module attached to the car identifies the location of the car and with the help of a 3rd party location service, route to destination is identified and directions are sent to the car. Wireless networks are used to transmit data between sensors and the server. Python scripts are used to control and integrate all the units together. The designed system can attain high accuracy with real – time constraints.
{"title":"A Novel Design of Autonomous Cars using IoT and Visual Features","authors":"B. Padmaja, P. Narasimha Rao, M. Madhu Bala, E. K. Rao Patro","doi":"10.1109/I-SMAC.2018.8653736","DOIUrl":"https://doi.org/10.1109/I-SMAC.2018.8653736","url":null,"abstract":"Autonomous car is a ground vehicle that is capable of driving without user interference. Traffic congestion and number of collisions are major issues in road traffic control due to rapid increase day-by-day. Autonomous cars provide a solution to this problem in an efficient and economical way. The proposed system utilizes mathematical models like neural networks and image processing techniques to sense the environment. This is implemented as three major components: curved road detection (steering), road sign and signal detection and obstacle detection (collision avoidance). Back Propagation is used for steering control with detection of curved roads; Haar features are used for road signal, sign detection and a distance sensor for collision avoidance. Data collected from the sensors is sent to a server for processing. Based on the result, a command is sent to the car. A GPS module attached to the car identifies the location of the car and with the help of a 3rd party location service, route to destination is identified and directions are sent to the car. Wireless networks are used to transmit data between sensors and the server. Python scripts are used to control and integrate all the units together. The designed system can attain high accuracy with real – time constraints.","PeriodicalId":53631,"journal":{"name":"Koomesh","volume":"57 1","pages":"18-21"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80219774","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}
Pub Date : 2018-08-01DOI: 10.1109/I-SMAC.2018.8653729
Chetna Verma, Chetan Selwal
VLC (Visible Light Communication) is one of the new trends in future communication. In the VLC system, we used FSO as a medium. These VLC FSO systems bring explanation directed toward congestion issues from the RF communication systems, similar frequency range scalable, price influence also mobility. However climatic environment alike smog, storm... etc, Line of sight are some of the demand trouble in realizing this system. In this paper, we designed a high speed communication system for VLC using spatial diversity using filter and amplifier. Here considered link distance is 100 m and by simulation we analyze achievable bit rate 20Gbps. This proposed system can be used for higher data rate in communication for VLC Transmitting distance can be become better by diminishing the fading in free space. Spatial diversity is specific adept techniques to decrease hazy things. In this paper, we evaluate the performance of optical to electrical power conversion, Clear constellation diagram of VLC System corresponding distance from the transmitter to receiver. The ambition hereof paper must include the Diversity technique inside VLC FSO OFDM, in case add to FSO link is created. The achievement study is finalized conclusion of Constellation diagram.
{"title":"Visible light communication system(VLC) Using Diversity Technique with 4 QAM OFDM FSO Link","authors":"Chetna Verma, Chetan Selwal","doi":"10.1109/I-SMAC.2018.8653729","DOIUrl":"https://doi.org/10.1109/I-SMAC.2018.8653729","url":null,"abstract":"VLC (Visible Light Communication) is one of the new trends in future communication. In the VLC system, we used FSO as a medium. These VLC FSO systems bring explanation directed toward congestion issues from the RF communication systems, similar frequency range scalable, price influence also mobility. However climatic environment alike smog, storm... etc, Line of sight are some of the demand trouble in realizing this system. In this paper, we designed a high speed communication system for VLC using spatial diversity using filter and amplifier. Here considered link distance is 100 m and by simulation we analyze achievable bit rate 20Gbps. This proposed system can be used for higher data rate in communication for VLC Transmitting distance can be become better by diminishing the fading in free space. Spatial diversity is specific adept techniques to decrease hazy things. In this paper, we evaluate the performance of optical to electrical power conversion, Clear constellation diagram of VLC System corresponding distance from the transmitter to receiver. The ambition hereof paper must include the Diversity technique inside VLC FSO OFDM, in case add to FSO link is created. The achievement study is finalized conclusion of Constellation diagram.","PeriodicalId":53631,"journal":{"name":"Koomesh","volume":"17 1","pages":"631-635"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80493589","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}
Pub Date : 2018-08-01DOI: 10.1109/I-SMAC.2018.8653677
Arunkumar Panneerselvam, B. Subbaraman
The Advancement in the field of computing requires new technologies and algorithms for efficient processing of large scale data such as Big Data. Distributed environments such as Cloud are prominent in storing and processing Big Data. Hadoop is a framework for processing Big Data. Hadoop follows MapReduce technique to process data in parallel. Today MapReduce workflows are extensively used in large scale scientific applications which are executed in cloud. Cloud offers rented resources for scheduling MapReduce workflows. Hyper Heuristic technique can be efficiently used for efficient scheduling of MapReduce task to the cloud resources. This paper explores the basis of MapReduce workflow execution in IaaS cloud and application of Hyper Heuristic technique in resource provisioning.
{"title":"Hyper Heuristic MapReduce Workflow Scheduling in Cloud","authors":"Arunkumar Panneerselvam, B. Subbaraman","doi":"10.1109/I-SMAC.2018.8653677","DOIUrl":"https://doi.org/10.1109/I-SMAC.2018.8653677","url":null,"abstract":"The Advancement in the field of computing requires new technologies and algorithms for efficient processing of large scale data such as Big Data. Distributed environments such as Cloud are prominent in storing and processing Big Data. Hadoop is a framework for processing Big Data. Hadoop follows MapReduce technique to process data in parallel. Today MapReduce workflows are extensively used in large scale scientific applications which are executed in cloud. Cloud offers rented resources for scheduling MapReduce workflows. Hyper Heuristic technique can be efficiently used for efficient scheduling of MapReduce task to the cloud resources. This paper explores the basis of MapReduce workflow execution in IaaS cloud and application of Hyper Heuristic technique in resource provisioning.","PeriodicalId":53631,"journal":{"name":"Koomesh","volume":"32 1","pages":"691-693"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80595688","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}
Pub Date : 2018-08-01DOI: 10.1109/I-SMAC.2018.8653724
T. Chaudhuri, V. Nyamati, Kayalvizhi Jayavel
The primary concern everywhere is security and everyone wants his home to be secured. Advancements in technology have made the implementation of and IoT and embedded systems within home appliances easy. This not only improves the security of the house but also gives one more control of their home devices. This paper describes a security system by which one can monitor and control one’s home. As in today’s world, automation plays a very powerful role, this paper will implement an automated way of controlling home appliances by the help of human interaction. The user will be able to monitor their home devices using their smartphones when connected to the same local area network. Through this paper, we try to bring forward a safer and a more monitored view of Home Automation by making sure that the user is always in control of his house.
{"title":"Design and implementation of IoT framework for Home Automation and Monitoring","authors":"T. Chaudhuri, V. Nyamati, Kayalvizhi Jayavel","doi":"10.1109/I-SMAC.2018.8653724","DOIUrl":"https://doi.org/10.1109/I-SMAC.2018.8653724","url":null,"abstract":"The primary concern everywhere is security and everyone wants his home to be secured. Advancements in technology have made the implementation of and IoT and embedded systems within home appliances easy. This not only improves the security of the house but also gives one more control of their home devices. This paper describes a security system by which one can monitor and control one’s home. As in today’s world, automation plays a very powerful role, this paper will implement an automated way of controlling home appliances by the help of human interaction. The user will be able to monitor their home devices using their smartphones when connected to the same local area network. Through this paper, we try to bring forward a safer and a more monitored view of Home Automation by making sure that the user is always in control of his house.","PeriodicalId":53631,"journal":{"name":"Koomesh","volume":"186 1","pages":"5-11"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80654598","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}
Pub Date : 2018-08-01DOI: 10.1109/I-SMAC.2018.8653743
M. Vadivel, Abdul Ali, V. Sivakumar
There are several approaches to avoid congestion managing in wireless sensor network. But the major challenge is to plan and implement a congestion managing method with minimum energy utilization and delay. These survey papers discuss the various methods. In Wireless Sensor Network (WSN), congestion is a major challenge and it increases the load in the transmitting channel. Thus congestion in WSN needs to be detected and controlled with an efficient approach.
{"title":"A Study on Congestion control in WSN using Dynamic alternative path selection approach","authors":"M. Vadivel, Abdul Ali, V. Sivakumar","doi":"10.1109/I-SMAC.2018.8653743","DOIUrl":"https://doi.org/10.1109/I-SMAC.2018.8653743","url":null,"abstract":"There are several approaches to avoid congestion managing in wireless sensor network. But the major challenge is to plan and implement a congestion managing method with minimum energy utilization and delay. These survey papers discuss the various methods. In Wireless Sensor Network (WSN), congestion is a major challenge and it increases the load in the transmitting channel. Thus congestion in WSN needs to be detected and controlled with an efficient approach.","PeriodicalId":53631,"journal":{"name":"Koomesh","volume":"35 1","pages":"346-349"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75818974","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}
Pub Date : 2018-08-01DOI: 10.1109/I-SMAC.2018.8653691
Salai Thillai Thilagam. J, T. Babu, B. Reddy
The weather report has become inevitable nowadays. The information got from the report is used for analyzing and setting the alerts. So, the damages, life threats could be avoided earlier. In this paper, a system of weather monitoring model by LabVIEW software is proposed. It used different sensors to measure the parameters like temperature, pressure and gas detection. Data acquisition signal accessory have had sensors in National Instruments (NI) LabVIEW Platform. This system acquired the analyses and processes the data. An alert file was created containing the data and conveyed to the concerned people immediately when any parameter exceeds the limit beyond a set point. These systems require hardware and software modules of National Instruments. The myDAQ is used with LabVIEW software and alert signal is sent through GSM module. In future, additional sensors can also be included to improve the system the best.
{"title":"Weather monitoring system application using LabVIEW","authors":"Salai Thillai Thilagam. J, T. Babu, B. Reddy","doi":"10.1109/I-SMAC.2018.8653691","DOIUrl":"https://doi.org/10.1109/I-SMAC.2018.8653691","url":null,"abstract":"The weather report has become inevitable nowadays. The information got from the report is used for analyzing and setting the alerts. So, the damages, life threats could be avoided earlier. In this paper, a system of weather monitoring model by LabVIEW software is proposed. It used different sensors to measure the parameters like temperature, pressure and gas detection. Data acquisition signal accessory have had sensors in National Instruments (NI) LabVIEW Platform. This system acquired the analyses and processes the data. An alert file was created containing the data and conveyed to the concerned people immediately when any parameter exceeds the limit beyond a set point. These systems require hardware and software modules of National Instruments. The myDAQ is used with LabVIEW software and alert signal is sent through GSM module. In future, additional sensors can also be included to improve the system the best.","PeriodicalId":53631,"journal":{"name":"Koomesh","volume":"11 1","pages":"52-55"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90186034","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}
Pub Date : 2018-08-01DOI: 10.1109/I-SMAC.2018.8653693
D. Deenadayalan, A. Kangaiammal, B. Poornima
The prominence of diagnosing a learner’s Learning Style is necessary has to demonstrate success in a teaching and learning process. At the same time, the learner’s preferences on MultiMedia Content (MMC) are also being keenly examined in consistent attempts to understand learner in a more adept way. For the above competence in emergence of Electroencephalography (EEG) technology, learner’s brain characteristics should be observed directly and the consequence may well support the learning style and preferences. In this study, Learners are categorized by David Merrill’s First Principles of Instruction (FPI) which contains four phases namely Activation, Demonstration, Application and Integration. Also it is assessing learning preference by identifying the type of multimedia content the learner prefers. The proposed approach proposes to use participant’s commitment level measured with an EEG system, the neurosky mind wave instrument. The main advantage of proposed system is that it enables continuous assessment of various learners with MMC for predicting learning style and preferences.
诊断学习者的学习风格是必要的，必须在教学和学习过程中展示成功。与此同时，学习者对多媒体内容(MMC)的偏好也被密切关注，以一种更熟练的方式理解学习者。对于上述能力的脑电图技术的出现，应该直接观察学习者的大脑特征，其结果可以很好地支持学习风格和偏好。本研究采用David Merrill的第一教学原则(First Principles of teaching, FPI)对学习者进行分类，分为激活、示范、应用和整合四个阶段。此外，它还通过识别学习者喜欢的多媒体内容类型来评估学习偏好。该方法采用脑电图(EEG)系统测量被试的承诺水平。所提出的系统的主要优点是它能够通过MMC对各种学习者进行持续评估，以预测学习风格和偏好。
{"title":"EEG Based Learner’s Learning Style and Preference Prediction for E-learning","authors":"D. Deenadayalan, A. Kangaiammal, B. Poornima","doi":"10.1109/I-SMAC.2018.8653693","DOIUrl":"https://doi.org/10.1109/I-SMAC.2018.8653693","url":null,"abstract":"The prominence of diagnosing a learner’s Learning Style is necessary has to demonstrate success in a teaching and learning process. At the same time, the learner’s preferences on MultiMedia Content (MMC) are also being keenly examined in consistent attempts to understand learner in a more adept way. For the above competence in emergence of Electroencephalography (EEG) technology, learner’s brain characteristics should be observed directly and the consequence may well support the learning style and preferences. In this study, Learners are categorized by David Merrill’s First Principles of Instruction (FPI) which contains four phases namely Activation, Demonstration, Application and Integration. Also it is assessing learning preference by identifying the type of multimedia content the learner prefers. The proposed approach proposes to use participant’s commitment level measured with an EEG system, the neurosky mind wave instrument. The main advantage of proposed system is that it enables continuous assessment of various learners with MMC for predicting learning style and preferences.","PeriodicalId":53631,"journal":{"name":"Koomesh","volume":"35 1","pages":"316-320"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87872698","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}
Pub Date : 2018-08-01DOI: 10.1109/I-SMAC.2018.8653688
Amruta Rudrawar
Retrieval of images assumes a noteworthy part in various areas including therapeutic determination, biometrics, geological data satellite frameworks, web searching and authentic research etc. At the point, when size of the database increases constantly, the applications including images confront new diculties and signicant issues in indexing, learning and retrieving. We require a productive retrieval system to retrieve images from the vision or audio database. CBIR-Content-based image retrieval is a image retrieval procedure used for retrieving images productively by utilizing low level image features texture, shape and color. In CBIR framework, a query image is described by features within the database. In this report, there are three steps. First, images from dataset are split into training and validation sets. Second, SURF features are extracted of the images and they are represented as bag of visual words using clustering and image indexing. Third, retrieval using cosine similarity. All these steps are carried out on remote rensing images. This technique does not require any relevance feedback for retrieval and it also reduces annotation work with similar results to query.
{"title":"Content Based Remote-Sensing Image Retrieval with Bag of Visual Words Representation","authors":"Amruta Rudrawar","doi":"10.1109/I-SMAC.2018.8653688","DOIUrl":"https://doi.org/10.1109/I-SMAC.2018.8653688","url":null,"abstract":"Retrieval of images assumes a noteworthy part in various areas including therapeutic determination, biometrics, geological data satellite frameworks, web searching and authentic research etc. At the point, when size of the database increases constantly, the applications including images confront new diculties and signicant issues in indexing, learning and retrieving. We require a productive retrieval system to retrieve images from the vision or audio database. CBIR-Content-based image retrieval is a image retrieval procedure used for retrieving images productively by utilizing low level image features texture, shape and color. In CBIR framework, a query image is described by features within the database. In this report, there are three steps. First, images from dataset are split into training and validation sets. Second, SURF features are extracted of the images and they are represented as bag of visual words using clustering and image indexing. Third, retrieval using cosine similarity. All these steps are carried out on remote rensing images. This technique does not require any relevance feedback for retrieval and it also reduces annotation work with similar results to query.","PeriodicalId":53631,"journal":{"name":"Koomesh","volume":"58 1","pages":"162-167"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85835676","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}
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