{"id":22,"date":"2021-06-14T16:29:34","date_gmt":"2021-06-14T16:29:34","guid":{"rendered":"https:\/\/netwrap.in\/?page_id=22"},"modified":"2021-06-29T20:14:08","modified_gmt":"2021-06-29T20:14:08","slug":"our-works","status":"publish","type":"page","link":"https:\/\/netwrap.in\/index.php\/our-works\/","title":{"rendered":"Our Works"},"content":{"rendered":"\n
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O<\/span><\/strong><\/strong>bject Detection using Raspberry Pi<\/span><\/h4>\n\n\n\n

I<\/strong>mage Detection<\/span><\/h4>\n\n\n\n

Technology Used : Raspberry Pi, Tensor flow, and Python <\/strong> <\/p>\n<\/div><\/div>\n\n\n\n

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Human Disease Prediction Using Machine Learning<\/span><\/h4>\n\n\n\n

Machine Learning<\/span><\/span><\/h4>\n\n\n\n

Technology Used : Anaconda, jupyter notebook, and Python <\/strong> <\/p>\n<\/div><\/div>\n\n\n\n

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Weapon Detection using TensorFlow<\/span><\/h4>\n\n\n\n

Deep Learning<\/strong> & TensorFlow<\/span><\/h4>\n\n\n\n

Technology Used : Raspberry Pi, Tensor flow and Python <\/strong> <\/p>\n<\/div><\/div>\n\n\n\n

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Object Detection for Blind People with Voice Feedback<\/span><\/strong><\/strong><\/h4>\n\n\n\n

Deep Learning<\/strong> & TensorFlow<\/span><\/h4>\n\n\n\n

Technology Used : Raspberry Pi, Google Coral, Tensor flow, and Python <\/strong> <\/p>\n\n\n\n

Description<\/strong>: To predict the disease from symptoms using following machine learning algorithms Naive Bayes,Decision Tree,Random Forest and Gradient Boosting.<\/p>\n<\/div><\/div>\n\n\n\n

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Banking Information retrieval system  in IVR technology<\/span><\/strong><\/h4>\n\n\n\n
Technology Used : Voice-XML, JSP, MySQL<\/strong><\/h5>\n\n\n\n

Description:<\/strong> Develop a Banking information retrieval system (Secure login, Balance verification) by developing, installing and configuring VOXEO server components that access information from MySQL Database via JSP.<\/p>\n<\/div><\/div>\n\n\n\n

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Rumor Detection in Twitter<\/span><\/strong><\/h4>\n\n\n\n

Big Data Analytics<\/span><\/strong><\/h4>\n\n\n\n
Technology Used : Hadoop, Java, MySQL and Python<\/strong><\/h5>\n\n\n\n

Description:<\/strong> Develop a Rumor Detection in Twitter by developing, installing and configuring Hadoop components that Streaming API  from individual servers to HDFS and listed rumors based on retweets.<\/p>\n<\/div><\/div>\n\n\n\n

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Automatic Electronic Secure payment in Toll System using NFC Technology<\/span><\/strong><\/strong><\/h4>\n\n\n\n

IoT (Internet of Things)<\/strong><\/span><\/h4>\n\n\n\n

Technology Used : Raspberry Pi, MySQL, Python and XML<\/strong> <\/p>\n\n\n\n

Description<\/strong>: The basic idea is that the client having NFC enabled android mobile taps on NFC enabled toll tab at toll station, which reads the information like NFC Id and automatically sends an acknowledgment to the owner of vehicles and simultaneously the request is forwarded to the server<\/p>\n<\/div><\/div>\n\n\n\n

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A Secure Data Retrieval Architecture for Underwater Wireless Sensor Networks <\/span><\/strong><\/h4>\n\n\n\n

Big Data Analytics<\/strong><\/span><\/h4>\n\n\n\n
Technology Used :          Java, Hadoop, MySQL, TCL and AWK<\/strong><\/h5>\n\n\n\n

Description:<\/strong> Develop a Secure Data Retrieval Architecture by developing, installing and configuring Hadoop components that Streaming underwater log files from individual nodes to collect data.<\/p>\n<\/div><\/div>\n\n\n\n

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An Enhanced Handover Scheme for Mobile Relays in LTE-A High-Speed Rail Networks<\/span><\/strong><\/h4>\n\n\n\n

NS2 & NS3<\/strong><\/span><\/h4>\n\n\n\n
Technology Used :\u00a0Network Simulator NS2 & NS3<\/strong><\/h5>\n\n\n\n

Description:<\/strong> Create a simulation environment on LTE-Advanced network topology  of high speed rail networks  with Mobile Proxy architecture with  no of  UEs(User Equipment) and E node B to  implement  handover scheme based on, a) Request Resolution, b) Call Admission Control, c) Memory Block Allocation d) Prefetching. To transmit the data from UE to UE via control of E node B.<\/p>\n<\/div><\/div>\n\n\n\n

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Calcification Detection in Coronary Arteries using image processing<\/span><\/strong><\/h4>\n\n\n\n

Matlab<\/span><\/h4>\n\n\n\n
Technology Used : <\/strong>Matlab<\/h5>\n\n\n\n

Description:<\/strong> The source data is filtered two dimensional DICOM (Digital imaging & Communications in Medicine) images taken from the 64 Slice Computed tomography Scan Data of the heart using a filter to highlight only the coronary arteries regions.<\/p>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

Object Detection using Raspberry Pi Image Detection Technology Used : Raspberry Pi, Tensor flow, and Python Human Disease Prediction Using Machine Learning Machine Learning Technology Used : Anaconda, jupyter notebook, and Python Weapon Detection using TensorFlow Deep Learning & TensorFlow Technology Used : Raspberry Pi, Tensor flow and Python Object Detection for Blind People with Voice Feedback Deep Learning & […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"om_disable_all_campaigns":false,"footnotes":""},"class_list":["post-22","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/netwrap.in\/index.php\/wp-json\/wp\/v2\/pages\/22","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/netwrap.in\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/netwrap.in\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/netwrap.in\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/netwrap.in\/index.php\/wp-json\/wp\/v2\/comments?post=22"}],"version-history":[{"count":24,"href":"https:\/\/netwrap.in\/index.php\/wp-json\/wp\/v2\/pages\/22\/revisions"}],"predecessor-version":[{"id":255,"href":"https:\/\/netwrap.in\/index.php\/wp-json\/wp\/v2\/pages\/22\/revisions\/255"}],"wp:attachment":[{"href":"https:\/\/netwrap.in\/index.php\/wp-json\/wp\/v2\/media?parent=22"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}