Bobbarala Jeevan Prakash is seeking a challenging position to utilize his mechanical engineering and non-destructive testing experience. He has a dual BE and ME degree from Andhra University with certifications in UT, RT, PT, and MPT testing. His experience includes training at Hindustan Shipyard and Vizag Steel Plant. He is proficient in technical skills like C programming, MS Office, and has participated in academic projects and extracurricular activities like NCC and social service programs during his studies.
This is for people who face for learning courses in real life. This project use for online studies and online learning. Easily understood and easily learning anything in online. That is the main reason for implementing this project.
Natural language processing with python and amharic syntax parse tree by dani...Daniel Adenew
Natural Language Processing is an interrelated disincline adding the capability of communicating as human beings to Computerworld. Amharic language is having much improvement over time thanks to researcher at PHD, MSC level at AAU. Here , I have tried to study and come up a limited scope solution that does syntax parsing for Amharic language and draws syntax parse trees using Python!!
Face Recognition Methods based on Convolutional Neural NetworksElaheh Rashedi
Convolutional neural networks (CNN) have improved the state of the art in many applications, especially the face recognition area. In this work, we present a review on latest face verification techniques based on Convolutional Neural Networks. In addition, we give a comparison on these techniques regarding their architecture, depth level, number of parameters in the network, and the obtained accuracy in identification and/or verification. Furthermore, as the availability of large-scale training dataset has significantly affected the performance of CNN based recognition methods, we present a preface to the most common large-scale face datasets, and then we describe some of the successful automatic data collection procedures.
A comprehensive tutorial on Convolutional Neural Networks (CNN) which talks about the motivation behind CNNs and Deep Learning in general, followed by a description of the various components involved in a typical CNN layer. It explains the theory involved with the different variants used in practice and also, gives a big picture of the whole network by putting everything together.
Next, there's a discussion of the various state-of-the-art frameworks being used to implement CNNs to tackle real-world classification and regression problems.
Finally, the implementation of the CNNs is demonstrated by implementing the paper 'Age ang Gender Classification Using Convolutional Neural Networks' by Hassner (2015).
Web development on web was part of a project in the final year of Engineering to demonstrate the implementation and application of SaaS using Microsoft Silverlight.
The application facilitated creation of web pages without having a need to install any HTML editor based software.
Tijmen Blankenvoort, co-founder Scyfer BV, presentation at Artificial Intelligence Meetup 15-1-2014. Introduction into Neural Networks and Deep Learning.
This is for people who face for learning courses in real life. This project use for online studies and online learning. Easily understood and easily learning anything in online. That is the main reason for implementing this project.
Natural language processing with python and amharic syntax parse tree by dani...Daniel Adenew
Natural Language Processing is an interrelated disincline adding the capability of communicating as human beings to Computerworld. Amharic language is having much improvement over time thanks to researcher at PHD, MSC level at AAU. Here , I have tried to study and come up a limited scope solution that does syntax parsing for Amharic language and draws syntax parse trees using Python!!
Face Recognition Methods based on Convolutional Neural NetworksElaheh Rashedi
Convolutional neural networks (CNN) have improved the state of the art in many applications, especially the face recognition area. In this work, we present a review on latest face verification techniques based on Convolutional Neural Networks. In addition, we give a comparison on these techniques regarding their architecture, depth level, number of parameters in the network, and the obtained accuracy in identification and/or verification. Furthermore, as the availability of large-scale training dataset has significantly affected the performance of CNN based recognition methods, we present a preface to the most common large-scale face datasets, and then we describe some of the successful automatic data collection procedures.
A comprehensive tutorial on Convolutional Neural Networks (CNN) which talks about the motivation behind CNNs and Deep Learning in general, followed by a description of the various components involved in a typical CNN layer. It explains the theory involved with the different variants used in practice and also, gives a big picture of the whole network by putting everything together.
Next, there's a discussion of the various state-of-the-art frameworks being used to implement CNNs to tackle real-world classification and regression problems.
Finally, the implementation of the CNNs is demonstrated by implementing the paper 'Age ang Gender Classification Using Convolutional Neural Networks' by Hassner (2015).
Web development on web was part of a project in the final year of Engineering to demonstrate the implementation and application of SaaS using Microsoft Silverlight.
The application facilitated creation of web pages without having a need to install any HTML editor based software.
Tijmen Blankenvoort, co-founder Scyfer BV, presentation at Artificial Intelligence Meetup 15-1-2014. Introduction into Neural Networks and Deep Learning.
Mali Elephant Project - Community Engagement at Lake Banzena, 2011WILD Foundation
The 2011 phase of the Mali Elephant Project focuses on community engagement. This powerpoint reviews the community engagement at Lake Banzena.
To learn more about the Mali Elephant Project, visit The WILD Foundation at www.wild.org.
Take a deep dive into Sprite's social media efforts as it talks about lifestyle and new products to keep its fanbase engaged and thinking about the brand.
Presentation by Nick Boyle & Declan Grogan (Balfour Beatty & NDL Ltd) at COMIT 2016: Digitally Building Britain, September 2016
More information: http://www.comit.org.uk/liveblog
Principales modelos de CONTRATOS PARA RUSIA en ruso y español, contrato compraventa para Rusia, contrato distribución para Rusia. Contratos para Rusia en Ruso.
Good interpersonal skills to learn and work as an individual as well as in a team ,to improve myself and there by contribute to development of the organization with impressive performance.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
1. RESUME
BOBBARALA . JEEVAN PRAKASH
Door no 3-92, Varada (village),
A.Koduru (Post), Visakhapatnam, Email: b.jeevanprakash@gmail.com
Andhra Pradesh,India-531022. Ph: 0091 9966817811
Objective: To work in a challenging, progressive environment where I can have a chance to prove my
worth and enhance my professional skills and effectively contribute towards the goals of the
organisation.
Academic Credentials:
Year of
Passing
Examination/Program Institution Aggregate
2014
(B.E. + M.E.)5 – Year Integrated
Dual Degree in Mechanical
Engineering
Andhra University College
of Engineering,
Visakhapatnam
6.58/10
2009
Board of Intermediate Education
(BIE) of Andhra Pradesh (12th
Grade)
Narayana Jr.College,
Visakhapatnam
90.4%
2007
Secondary School Certificate
(SSC)
Bhashyam Public School,
Visakhapatnam
86.83%
Professional Experience:
Certified in doing the NDT (Non Destructive Testing) methods such as UT, RT , MPT & PT in
accordance with ASNT-SNT-TC-1A-2011 at Southern Inspection Services Pvt. Ltd
Visakhapatnam.
Undergone in-plant training at Hindustan Shipyard Limited, for 3 weeks Visakhapatnam – 2012.
Undergone in-plant training at Vizag Steel Plant, Visakhapatnam for 2 weeks – 2011.
Had an industrial visit to Dharani Castings, Visakhapatnam in the year 2010.
Projects:
Project on Overall loss – coefficient and daily efficiency of a flat plate collector during
the year 2013 under the guidance of Prof. P. Srinivas Kishore (Dept. of Mechanical Engineering,
AUCE).
Project on Structural analysis of Solid and Multilayer Pressure Vessels during the year
2014 under the guidance of Prof. P. Srinivasa Rao (Dept. of Mechanical Engineering, AUCE).
Technical Skills:
Platforms: Windows.
Programming Languages: C (Basics).
Office Applications: MS Word, MS PowerPoint, MS excel.
NDT (Non Destructive Testing): UT, RT, PT&MPT.
Position of Responsibility:
Successful in managing school activities of Bhashyam Public School, Visakhapatnam.
Organized sports events in the annual training camps of NCC in the year 2011.
2. Scholastic Achievements:
Qualified in Hindi Parichay and Prathamika Exam conducted by Dakshina Bharat Hindi Prachar
Sabha.
Won running competitions in inter school level games in 2004.
Represented Bhashyam school in “HINDU YOUNG WORLD QUIZ” held at Visakhapatnam in
2006.
Strengths:
Optimistic.
Zeal to learn new things.
Patriotic.
Can adjust myself according to situation.
Helpful and Concerned.
Extra-Curricular Activities:
Member of Condition Monitoring Society of India (CMSI) since March 2013.
Has passed the NCC Certificate “C” Examination in “A” Grade held in 2012 under the authority
of Ministry of Defence, Govt. of India.
Participated in National Integration Camp – II at S. V. Arts College, Tirupathi – 2012.
Has passed the NCC Certificate “B” Examination in “A” Grade held in 2011 under the authority
of Ministry of Defence, Govt. of India.
Participated in Combined Annual Training Camp – XIII at Naval Maritime Academy,
Visakhapatnam – 2011.
Participated in several social awareness campaigns like Beach cleaning program and Cancer
Awareness program, etc.
Participated in AU Science Exhibition – 2011.
A volunteer of accommodation team in All India Manufacturing Technology Development and
Research(AIMTDR) Conference – 2010.
A Volunteer of organsing team in Mechanical Engineering Students Conference(MESCON) –
2010.
Won many prizes in various quiz competitions during school level.
Hobbies:
Listening to music, watching movies.
Playing Cricket, Badminton, Volleyball, Table Tennis.
Playing Drums.
Personal Profile:
Date of Birth 16 Jan 1992
Nationality Indian
Marital Status Unmarried
Religion Christianity
Passport Details M6097402 valid till 09/02/2025; Issued at Visakhapatnam, A P
(India)
Languages Known English, Hindi & Telugu.
I hereby declare that the above furnished information is true to the best of my knowledge and belief.
Date.......................... Signature........................................
