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A Review Paper on Resume Portal

In this era, everyone need automated things. The things which will be handled automatically. So proposed system is Resume Portal. This portal will provide an easy way for any company and HR to get the candidates of their requirements. In this portal, a unique subdomain for every user is provided. So in case if any HR want to see any one’s profile, they will just hit the URL (subdomain) and will get the user profile. User can build their resume on the portal, they can even customize their fields. Companies can reply on this portal, User can see the vacancies. This will definitely reduce the manual work, user don’t have to carry any kind of hardcopy with them. Work will be done automatically and efficiently. Resume will be created and updated according to person’s information. In this portal, we are also providing different kinds of themes for user so that resume of the user will be attractive than others. Anyone can share their resume in this portal from anywhere. This portal is also predicting the personality of the user by seeing the objectives which user will provide. This will be very efficient to judge the personality of the user by HR. So this portal made to reduce the manual work and to do the things fast and efficiently. It is also more secured and highly authenticated.

Published by: Khushbu Dipakrao Ingale, Prachi Padmakar Kamble, Samruddhi Anil Nirmal, Meghnakashyap Sunilkumar Pandey, Shruti Sanjay Nehulkar

Author: Khushbu Dipakrao Ingale

Paper ID: V4I2-1244

Paper Status: published

Published: March 19, 2018

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Research Paper

EBMT Sindhi to Hindi Sentence Translation System

Example Based Machine Translation (EBMT) is the system which translates sentences from Sindhi to Hindi. It uses the parallel corpus for translating sentences. To handle large volume of data the computational model is required. The requirement for a computational resource in EBMT is significantly less as compared to MT (Machine Translator). This makes development of EBMT systems for Sindhi to Hindi translation feasible, where availability of large-scale computational resources is still scarce. Example based machine translation relies on the database for its translation. The software helps to get a sentential translation according to semantics and syntactic of the language. The frequency of word occurrence is important for translation in EBMT.

Published by: Nisha S. Tathe, Jayasha S. Kriplani, Shiwani S. Deshmukh, Nikita K. Sadrani, Monika A. Panjwani

Author: Nisha S. Tathe

Paper ID: V4I2-1241

Paper Status: published

Published: March 19, 2018

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Review Paper

Performance Evaluation using Data Analytics

In today’s world large amount of data is generated in the organizations. Analyzing and proper utilization of this data is very essential. Financial data is the backbone of any educational institute or organization. It portrays a broader picture about the current status and the future prospectus of the organization. If an organization is financially stable only then it can withstand in the market for a longer period of time. In order to achieve the status of financially strong organization, predicting the financial trends for coming future is a necessity. In order to predict the financial trends it requires to carry out a process of examining financial data sets to draw the conclusions about the behavior of the information they contain increasingly with the aid of specialized systems and softwares. All of this can be achieved by Data Analytics. Data Analytics predominantly refers to assortment of applications from basic intelligence, reporting and online analytical processing to various forms of analytics. In this paper we propose Data Analytics as a method for performance evaluation over educational organization's financial data.

Published by: Sahil Kirtane, Sushant Kotwal, Dr. Sunita R. Patil

Author: Sahil Kirtane

Paper ID: V4I2-1284

Paper Status: published

Published: March 19, 2018

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Research Paper

Effect of Process Parameters on Tensile Strength and Hardness Testing of Friction Stir Welding Joint of Aluminium Alloys with Different Tool Pin Profile

In this project, CNC Milling Machine is used to weld the parts together. The parts being welded are made up of dissimilar materials aluminium alloy AA5086 H32-AA6061 T6. The rotational speed is varied from 900 rpm to 1500 rpm while the welding speed is varied from 20 to 40 mm/min. The other parameter involved is the tool profile. The dimensions of the parts are (300mmx30mmx5mm) which are welded to form a butt joint. The effect of different tool pin profiles on the quality of the welded joint is also studied for welding. Different tool pin profiles considered are round threaded, circular/round and square. The tools are designed using Pro/E and are manufactured on a Lathe machine. After the parts are welded, various practical tests are performed on the welded parts that include the tensile strength and the Vickers’s hardness test. The experimental results proved that the highest tensile strength of the welded joint i.e., 28.65 N/mm2 was achieved with the square tool profile at speed 1200 rpm with feed 40 mm/min and the highest hardness value of 58 HV was achieved with the round tool profile at 1500 rpm and feed of 40 mm/min.

Published by: Pawan Parashar, Arun Patel

Author: Pawan Parashar

Paper ID: V4I2-1218

Paper Status: published

Published: March 16, 2018

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Research Paper

Study of Recycled Aggregate Concrete Containing Silica Fume as Partial Replacement for Cement

Recycle Aggregate Concrete (RCA) is the concrete product produced with recycled aggregate to replace part or whole of natural aggregate. The purpose of this study is to find the properties of RCA and compare the same with the concrete produced with natural aggregates2 Recycle Concrete Aggregate has also been described as “the most revolutionary development in concrete construction for several decades”. It has proved to be beneficial from the point of economic, environmental benefits and Preservation of non renewable recourses This thesis presents a study conducted on mechanical and durability properties of recycled aggregates concrete. The investigation covered concrete mixes at water cementitious material with ratio of 0.4. Ordinary Portland Cement of 43-grade was used in this study. The percentage of recycled aggregates that partially replaced natural aggregates by weight were 0%, 10%, 20%, 30%, 40% and 50%. Concrete cubes and cylinders were casted and tested in laboratories. The optimum proportion of replacement was found by conducting tests on mechanical properties like Compressive strength test and Split tensile strength test. The results show that the optimum replacement of recycled aggregates with natural aggregates was 30%. Up to 30% replacement, it is possible to gain the same strength as conventional concrete. Beyond 30% replacement the strength results following decreasing trend

Published by: Animesh Awasthi, Gourav Soni, Ram Bharosh

Author: Animesh Awasthi

Paper ID: V4I2-1238

Paper Status: published

Published: March 15, 2018

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Review Paper

An Efficient Community Question Answer (CQA) using the Metadata Rating

Community Question Answering (CQA) is the question answering process. Question Answering (QA) is the field of information retrieval and Natural language Processing (NLP). In this paper we mainly focus on lexical gap and word embedding problem. Here, the CQA aims to find the existing question which is equivalent to queried question. The other existing system of this paper is two novel category powered models. That is basic category powered model called as MB-NET and enhanced category powered model called as ME-NET. They are used to learn about the lexical gap and word embedding problem. The proposed system of this paper is to extend the metadata information easily using user ratings, like signals and Poll and Survey signals, into the learning process to obtain more powerful word representations.

Published by: G. Divyatharshini, P. Gokila Devi, S. Srimathi, A. M. SenthilKumar, R. Sureshkumar, M. S. Vijaykumar

Author: G. Divyatharshini

Paper ID: V4I2-1237

Paper Status: published

Published: March 15, 2018

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