Pub Date : 2019-06-30DOI: 10.23883/ijrter.2019.5056.fbzhb
P Nagaprakash, C. M. Sundaram, A. V. Rajan, J. C. Samy, Durai A. Vembathu Rajesh
Punching has a wide usage in industries. Holes need to be punched in sheets; pipes of a various materials for assembly purpose are demanded. Here, the promotion of holes in various materials is carried by applying pneumatic force which was fully automated by computerized numerical control. The pressure is required up to 10bar to punch the sheet metal. Punching movement is controlled by G-codes & M-codes through Master Cam software for various position of pneumatic cylinder. The circuit is designed and analysed through Multisim software. The movement of chain & sprocket and pneumatic cylinder were gets time delayed its working by Arduino circuit board. The coding for time delay is coded by Arduino software. The total punching force required for punch the different material is analyzed and evaluated. Then, conclude which one is suitable for punching the material in easily and non-broke able condition. Keywords— CNC, Pneumatic, Master Cam & Multisim Software, Arduino Circuit Board.
{"title":"Design and Fabrication of Computerized Numerical Control Based Pneumatic Punching Machine","authors":"P Nagaprakash, C. M. Sundaram, A. V. Rajan, J. C. Samy, Durai A. Vembathu Rajesh","doi":"10.23883/ijrter.2019.5056.fbzhb","DOIUrl":"https://doi.org/10.23883/ijrter.2019.5056.fbzhb","url":null,"abstract":"Punching has a wide usage in industries. Holes need to be punched in sheets; pipes of a various materials for assembly purpose are demanded. Here, the promotion of holes in various materials is carried by applying pneumatic force which was fully automated by computerized numerical control. The pressure is required up to 10bar to punch the sheet metal. Punching movement is controlled by G-codes & M-codes through Master Cam software for various position of pneumatic cylinder. The circuit is designed and analysed through Multisim software. The movement of chain & sprocket and pneumatic cylinder were gets time delayed its working by Arduino circuit board. The coding for time delay is coded by Arduino software. The total punching force required for punch the different material is analyzed and evaluated. Then, conclude which one is suitable for punching the material in easily and non-broke able condition. Keywords— CNC, Pneumatic, Master Cam & Multisim Software, Arduino Circuit Board.","PeriodicalId":143099,"journal":{"name":"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133030449","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 : 2019-06-30DOI: 10.23883/ijrter.2019.5055.jqfho
Ji-Yoon Moon, Ho-Gyoun Jeong
This paper explains how to obtain disk and volume information by using a virtual disk in the QEMU/KVM environment of the Linux operating system. In some cases, one may require disk and volume information for a specific virtual disk. To enable this, we designed a function for obtaining disk volume information by using the libguestfs API, and reported disk volume information results for a specific virtual disk file. Keywords—component; QEMU, KVM, Hypervisor, Libguestfs, Qcow2
{"title":"The Study: Disk Information Acquisition in QEMU-based Virtualization","authors":"Ji-Yoon Moon, Ho-Gyoun Jeong","doi":"10.23883/ijrter.2019.5055.jqfho","DOIUrl":"https://doi.org/10.23883/ijrter.2019.5055.jqfho","url":null,"abstract":"This paper explains how to obtain disk and volume information by using a virtual disk in the QEMU/KVM environment of the Linux operating system. In some cases, one may require disk and volume information for a specific virtual disk. To enable this, we designed a function for obtaining disk volume information by using the libguestfs API, and reported disk volume information results for a specific virtual disk file. Keywords—component; QEMU, KVM, Hypervisor, Libguestfs, Qcow2","PeriodicalId":143099,"journal":{"name":"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128252034","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 : 2019-05-30DOI: 10.23883/ijrter.2019.5051.1k457
Kasamina, K. Anusudha
Abstract – A brain tumour or intracranial neoplasm occurs due to abnormal cell growth within the brain. It varies in different shape, size and intensity. Here method is been used for the segmentation (Magnetic Resonance Imaging) is used spectral clustering is that it suffers from dense similarity matrix construction. the drawback of dense similarity matrix construction can be overcome identification of region of interest (ROI) FCM and GMM algorithms are used to perform brain tumour segmentation. T edema and tumour core regions are calculate that the proposed method gives better result than the existing
{"title":"BRAIN TUMOUR DETECTION USING SUPER PIXEL BASED SPECTRAL CLUSTERING","authors":"Kasamina, K. Anusudha","doi":"10.23883/ijrter.2019.5051.1k457","DOIUrl":"https://doi.org/10.23883/ijrter.2019.5051.1k457","url":null,"abstract":"Abstract – A brain tumour or intracranial neoplasm occurs due to abnormal cell growth within the brain. It varies in different shape, size and intensity. Here method is been used for the segmentation (Magnetic Resonance Imaging) is used spectral clustering is that it suffers from dense similarity matrix construction. the drawback of dense similarity matrix construction can be overcome identification of region of interest (ROI) FCM and GMM algorithms are used to perform brain tumour segmentation. T edema and tumour core regions are calculate that the proposed method gives better result than the existing","PeriodicalId":143099,"journal":{"name":"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122133353","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 : 2019-05-30DOI: 10.23883/ijrter.2019.5052.iwt5c
Ninad More, R. Singh, G. Murugan
Abstract-Automatic inshore ship detection technique from satellite images is most commonly used for the purpose of military application, maritime management, and harbor traffic management, etc. Inshore ship detection from satellite images is a very useful but challenging task it is difficult to detect because of different shapes and different directions of the ship, illumination, and weather, shadow of disturbance and complex backgrounds. This paper contains an automatic inshore ship detection method that uses various technologies such as SIFT (Scale Invariant Feature Transform) and preprocessing algorithm with a discrete wavelet transform (DWT) is proposed. SIFT converts image content into local features. It also coordinates with content that is invariant to translation; rotation scale and another image parameter. SIFT features helps in matching large databases of the object to individual features and also generate different features for the small objects in local. The preprocessing algorithm with discrete wavelet transform (DWT) helps to remove the irregularities and noise to helps enhance the quality of images. The Euclidean distance helps in measuring the minimum distance between the target image and the tested image. Finally, the result of Scale Invariant Feature Transform (SIFT) and proposed method result and detect the exact detection of the inshore ship. Using our proposed technique ship detection tasks perform very precisely.Keywords-Scale Invariant Feature Transform (SIFT), Euclidean distance, Discrete wavelet
{"title":"Automatic Inshore Ship Detection in Satellite Imageries Using DWT and SIFT Features","authors":"Ninad More, R. Singh, G. Murugan","doi":"10.23883/ijrter.2019.5052.iwt5c","DOIUrl":"https://doi.org/10.23883/ijrter.2019.5052.iwt5c","url":null,"abstract":"Abstract-Automatic inshore ship detection technique from satellite images is most commonly used for the purpose of military application, maritime management, and harbor traffic management, etc. Inshore ship detection from satellite images is a very useful but challenging task it is difficult to detect because of different shapes and different directions of the ship, illumination, and weather, shadow of disturbance and complex backgrounds. This paper contains an automatic inshore ship detection method that uses various technologies such as SIFT (Scale Invariant Feature Transform) and preprocessing algorithm with a discrete wavelet transform (DWT) is proposed. SIFT converts image content into local features. It also coordinates with content that is invariant to translation; rotation scale and another image parameter. SIFT features helps in matching large databases of the object to individual features and also generate different features for the small objects in local. The preprocessing algorithm with discrete wavelet transform (DWT) helps to remove the irregularities and noise to helps enhance the quality of images. The Euclidean distance helps in measuring the minimum distance between the target image and the tested image. Finally, the result of Scale Invariant Feature Transform (SIFT) and proposed method result and detect the exact detection of the inshore ship. Using our proposed technique ship detection tasks perform very precisely.Keywords-Scale Invariant Feature Transform (SIFT), Euclidean distance, Discrete wavelet","PeriodicalId":143099,"journal":{"name":"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124070740","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 : 2019-05-30DOI: 10.23883/ijrter.2019.5043.bcmjh
Amruta Joshi, Trupti G. Thite, Megha F. Yaligar
The main objective of this project is to create book shop application which allows users to purchase and sell various books. Users can search and purchase a book online based on title, author and subject. The selected book are displayed in tabular format. And user can order books online through credit card payments or can contact the seller for more. Using this android application user can purchase online instead of going out to a book shop. The user can login using his account details or new user can sign up or register by providing details such as name, contact email-id and shipping address. The books are divided into many categories based on the subject. Were Administrator will have additional functionalities compared to the common user. He can add, update and delete the book details, book categories, information of members and also confirm a placed order. Keywords—Java, PHP, HTML, MYSQL.
{"title":"Android Based Application for Book Store","authors":"Amruta Joshi, Trupti G. Thite, Megha F. Yaligar","doi":"10.23883/ijrter.2019.5043.bcmjh","DOIUrl":"https://doi.org/10.23883/ijrter.2019.5043.bcmjh","url":null,"abstract":"The main objective of this project is to create book shop application which allows users to purchase and sell various books. Users can search and purchase a book online based on title, author and subject. The selected book are displayed in tabular format. And user can order books online through credit card payments or can contact the seller for more. Using this android application user can purchase online instead of going out to a book shop. The user can login using his account details or new user can sign up or register by providing details such as name, contact email-id and shipping address. The books are divided into many categories based on the subject. Were Administrator will have additional functionalities compared to the common user. He can add, update and delete the book details, book categories, information of members and also confirm a placed order. Keywords—Java, PHP, HTML, MYSQL.","PeriodicalId":143099,"journal":{"name":"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115003872","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 : 2019-05-30DOI: 10.23883/ijrter.2019.5044.umkga
N. Kumari
Machine Learning is the science to train the computer systems learning from the past experiences in the form of Data. Machine Learning and Artificial Intelligence can have significant impact in our Education System . This paper discusses how classification Machine learning algorithms paves the way for building a Machine Learning Model for further enhancing the interaction between teachers and students. Statistical test Pearson Bivariate Correlation , Linear Regression helped in further predictions in making Learning Model . The model prediction have been compared on the basis of performance measures Mean absolute error , Mean Squared error , Gradient Descent. Keywords— Classification , Regression , Information and Communication Technology , Train set , Test Set , Probablity. Nomenclature ICT Information and Communication Technology ML Machine Learning MAP Maximum Probability
{"title":"Machine Pedagogy – Classification and Statistical Analysis of Educational Data","authors":"N. Kumari","doi":"10.23883/ijrter.2019.5044.umkga","DOIUrl":"https://doi.org/10.23883/ijrter.2019.5044.umkga","url":null,"abstract":"Machine Learning is the science to train the computer systems learning from the past experiences in the form of Data. Machine Learning and Artificial Intelligence can have significant impact in our Education System . This paper discusses how classification Machine learning algorithms paves the way for building a Machine Learning Model for further enhancing the interaction between teachers and students. Statistical test Pearson Bivariate Correlation , Linear Regression helped in further predictions in making Learning Model . The model prediction have been compared on the basis of performance measures Mean absolute error , Mean Squared error , Gradient Descent. Keywords— Classification , Regression , Information and Communication Technology , Train set , Test Set , Probablity. Nomenclature ICT Information and Communication Technology ML Machine Learning MAP Maximum Probability","PeriodicalId":143099,"journal":{"name":"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130865750","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 : 2019-05-30DOI: 10.23883/ijrter.2019.5050.ipmfd
Raghunathsingh Rajput, Pooja B Mujagond, Aishwarya More, A. Sagar, Priyanka Basti
Augmented Reality is a variation of virtual reality that allows users to view the real world augmented with virtual objects. Therefore, it can be used to produce systems that provide users with rich information about the scanned area. In this project, we present an application that locates and provides the users with information about the local surrounding sites. The application, which we call ARMap, is designed to help users in urban areas or tourism destinations to locate places of interest near them by moving the camera of the device in all possible directions to overlay information of places around them. Places captured by the camera are located by adding bins displaying the place name as defined by Foursquare.com database. ARMapis developed with Android and is set to run on smart phones and tablets with different screen sizes, computational and memory capabilities.
{"title":"A MOBILE AR APPLICATION FOR LOCATING AND DESCRIBING SURROUNDING SITES(ARMap)","authors":"Raghunathsingh Rajput, Pooja B Mujagond, Aishwarya More, A. Sagar, Priyanka Basti","doi":"10.23883/ijrter.2019.5050.ipmfd","DOIUrl":"https://doi.org/10.23883/ijrter.2019.5050.ipmfd","url":null,"abstract":"Augmented Reality is a variation of virtual reality that allows users to view the real world augmented with virtual objects. Therefore, it can be used to produce systems that provide users with rich information about the scanned area. In this project, we present an application that locates and provides the users with information about the local surrounding sites. The application, which we call ARMap, is designed to help users in urban areas or tourism destinations to locate places of interest near them by moving the camera of the device in all possible directions to overlay information of places around them. Places captured by the camera are located by adding bins displaying the place name as defined by Foursquare.com database. ARMapis developed with Android and is set to run on smart phones and tablets with different screen sizes, computational and memory capabilities.","PeriodicalId":143099,"journal":{"name":"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131399073","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 : 2019-05-30DOI: 10.23883/ijrter.2019.5046.lehsa
Raghunathsingh Rajput, S Javeriya, G Pavitra, Snehal D. Jadhav, G SrushtiS
Organ donation is one of the significant contributions that a person can make towards the society. Organ donation system is a combination of Android application and website that is made for such noble and great cause. The growing technology in android development has made this possible the hospitals, organ banks, medical stores, ambulances and user can register through online organ donation application provides a way to seeker to search for donor through app. This application is also used by organ donor and seeker where a person can register for interested in organ donation. Procedure to use the application is to first download the application in your smart phone, register on the app with basic details like name, address, contact details, email and medical history information of organ one could choose to donate. All this information can be saved in data server which is interconnected in between user, donor, seeker and hospital with multi connectivity server.
{"title":"ORGAN DONATION APPLICATION AND WEBSITE","authors":"Raghunathsingh Rajput, S Javeriya, G Pavitra, Snehal D. Jadhav, G SrushtiS","doi":"10.23883/ijrter.2019.5046.lehsa","DOIUrl":"https://doi.org/10.23883/ijrter.2019.5046.lehsa","url":null,"abstract":"Organ donation is one of the significant contributions that a person can make towards the society. Organ donation system is a combination of Android application and website that is made for such noble and great cause. The growing technology in android development has made this possible the hospitals, organ banks, medical stores, ambulances and user can register through online organ donation application provides a way to seeker to search for donor through app. This application is also used by organ donor and seeker where a person can register for interested in organ donation. Procedure to use the application is to first download the application in your smart phone, register on the app with basic details like name, address, contact details, email and medical history information of organ one could choose to donate. All this information can be saved in data server which is interconnected in between user, donor, seeker and hospital with multi connectivity server.","PeriodicalId":143099,"journal":{"name":"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117033433","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 : 2019-05-30DOI: 10.23883/ijrter.2019.5053.0mc8w
I TamboliJ, S shindeA
Industrial automation point of view inverter plays a very important role in developing drives. The PWM is widely used for motion control with two level voltage source inverters to obtain a quality output voltage or a current waveform with minimum amount of ripple content that they require for high switching frequency along with various pulse width modulation (PWM) strategies. These two level inverters have drawn tremendous inverters for high voltage and high power applications. This paper has proposed for design and implementation of sinusoidal pulse width Modulation i.e SPWM and multilevel technique to decrease the harmonics. The design and development of multilevel techniques will carried out in Matlab / Simulink environment.
{"title":"Pulse Width Modulation (PWM) Inverter for Control Applications","authors":"I TamboliJ, S shindeA","doi":"10.23883/ijrter.2019.5053.0mc8w","DOIUrl":"https://doi.org/10.23883/ijrter.2019.5053.0mc8w","url":null,"abstract":"Industrial automation point of view inverter plays a very important role in developing drives. The PWM is widely used for motion control with two level voltage source inverters to obtain a quality output voltage or a current waveform with minimum amount of ripple content that they require for high switching frequency along with various pulse width modulation (PWM) strategies. These two level inverters have drawn tremendous inverters for high voltage and high power applications. This paper has proposed for design and implementation of sinusoidal pulse width Modulation i.e SPWM and multilevel technique to decrease the harmonics. The design and development of multilevel techniques will carried out in Matlab / Simulink environment.","PeriodicalId":143099,"journal":{"name":"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126902380","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：