Vol 2, No 1 (2019): SGP Digital Library

Authors: Shraddha Jadhav *, Taslim Bargir,  Akhilesh Sadare,  Sonali Malame, Nilesh Ghorpade

Abstract: In order to maintain a good recognition at college, the management does every possible aspect in maintaining the qualities of the lecturer’s. As this is the online-era, where everything is online we need to develop a system in online which is very useful to refer the required notes and information. 


It consist of various review of references , literatures and notes required  for all the courses of different programs and subjects referred by students and staffs. It contain SGP interface all over the software. It will be locally hosted and can be accessible to all .There will be advanced upgrades of syllabus and question paper, notes and different reviews. Records of notes of all the departments and their subject’s references will be provided.


Vol 2, No 1 (2019): Performance Based Appraisal System

Authors: Shubham Kulkarni, Pritam Joshi, Srushti More, Jayesh Sarvade, Naresh Kamble

Abstract: In order to maintain a good recognition at college, the management does every possible aspect in maintaining the qualities of the lecturer’s. As this is the online-era, where everything is online we need to develop a system in online which is very useful to maintain by the administrator. It is the process by which a principle or management committee in any organization examines and evaluates an employee’s work behavior by comparing it with preset standards, documents the result of comparison, and uses the results to provide feedback to the employee to show where improvements are needed and why Performance appraisal are employed to determine who needs what training, and who will be promoted, demoted, retained or fired. Employee performance reporting provides a simple visual way to compare performance and engagement individually and across the entire organization. When you can see which teams, departments, and employees are working well, you gain insights into how to help the areas and people who need extra attention Evaluation provides structured feedback to employees about what they are doing right and what could be improved

Vol 2, No 1 (2019): Improving DBSCAN Algorithm with PSO in Data Mining

Authors: Ila Sharma, Shivani Sharma

Abstract: Clustering is a method of grouping data into classes or clusters. The grouping is done in such a manner that the objects within the same cluster are very similar to each other but they are very dissimilar to the objects in some other clusters. Clustering is an unsupervised learning method and does not require training data set to generate a model. In this work, further improvement in the incremental DBSCAN algorithm is done which calculates the Euclidian distance dynamically. The Particle Swarm Optimization is the algorithm utilized as the optimize solution using which difficult problems are solved. In our proposed work, EPS value has been calculated dynamically using PSO that increases accuracy of the clustering.

Vol 2, No 1 (2019): Real-time Smart Fire Safety Management and Notification System

Authors: U.B. Mane, Shashikala Kamble*, Dinesh Pise, Aishwarya Patil, Aman Shaikh, Pooja Lohar

Abstract: Fire management is mainly related to the Safety purpose. Thus, the fire monitoring and management system are preventing in any places such as household and organizational premises. Fire is kind of disaster destroying the social wealth and human’s safety. Water sprinklers plays important role in Fire management but some traditional water sprinklers are glass bulb sprinklers. These sprinklers can be used only once and should be replaced after wards and sometimes very costly in terms of money and time. In proposed system, the automatic water sprinklers which will be turned off automatically after extinguishing fire. These systems based on Internet of Things and to automatically manage procedures, improve scalability, safety and user experience and contribute to human’s wealth and health [1][5].

Vol 2, No 1 (2019): Internet of Things for Smart City

Authors: Prof. S. S. More, Smita*, Amruta, Harshada, Dhanshri, Akshay

Abstract: The new Internet of Things (IoT) applications enabling Smart City initiatives is interesting. It provides the ability to remotely monitor, manage and control devices which will give better aspect for city with help of IoT. It will provide new insights and actionable information from the real time data collected by the sensors. The main motive of the Smart City is to fulfil the new demand on cities, by using the new demands to provide the better living. The potential is there for the IoT to improve many aspect of living. The different applications provided by IoT for smart city which will give better services, reduce cost, improve interaction.


Vol 1, No 3 (2018): My Cloud & Home Automation

Authors: Rishabh Agarwal, Sourabh Bhasin, Pranjal Kalra, Prasoon Srivastava

Abstract: The motive of this project is to provide data integrity, Data security for cloud, removing the problem of limited storage. My Cloud aims to provide cloud sever which can be accessible from anywhere, anytime. The main scope of this report is providing solutions for the security of the data. When we want to download the uploaded file from cloud, a encrypted key will be needed and that key is provided by the cloud server and is present in the form of encrypted data. As the present scenario is everyone need their task to be automated and easily accessible over traditional manual approach. As over past few years the internet users around the globe have increased in huge amount. Internet of Things (IoT) is the red hot internet technology. IoT is being used in many industries for automating the devices used in manufacturing. In Home Automation it controls home appliances with the help of computer and aIoT device. We can control basic functionalities and other technical features with a computer or any smart-phone from any part of the world with the help of internet and this process is called home automation.

Vol 1, No 3 (2018): Plant Prototype Using IoT

Authors: Bindushree M, Hemant Kumar, Jois Raghunath Ananth, Niveditha R, B.R Vatsala

Abstract: Internet of Things (IOT) is propagating and blooming technology and plays an important role in Industrial Automation Systems (IAS). The evolving IoT techniques if effectively used, addresses many problems in Industrial Automation for example scalability, interoperability, Automation Domain Constraints etc. In this paper, we are presenting the plant prototype for industrial automation using IoT (IoT). The system uses Raspberry pi [1,5]microcontroller and server which is responsible for collecting data from the various industrial sensors and to send control signals to the sensors. The main feature of this system is to control and monitor the field devices, and to display the status of temperature and humidity sensed through GUI. The sensed data from field devices will be sent to the Raspberry pi server so to be accessed remotely at the end devices. End devices can also send control signals to sensors and relays through Raspberry Pi.

Vol 1, No 3 (2018): Voice Command Based TV Remote Control Android Application

Authors:-Mane Aishwarya, Pramod Sasane, Shruti Raju, Zende Harshada, Ravindra Nalawade, Shweta Suryakant, Modi Shweta, Deepak kumar, Sarode Pradnya Laxman, Ashwini. A. Todkar

Abstract:-A system is designed which can control the TV with the help of voice commands. This system is most suitable for elderly people who find difficulties in controlling the TV by pressing multiple buttons on its remote. Most of the existing systems either require a smart TV or some large complicated handheld devices, but the proposed system requires an Android device and an Arduino. All you require to do is, download this Application from Google Play Store, connect the Arduino to TV and start using. As the system is based on Bluetooth, it is not even mandatory to stay connected to internet

Vol 1, No 3 (2018): End-To-End Security Approach of Web Services

Authors:-Ria Paneri , Avani Vagadiya , Farjana Girach , Priyanka Raval

Abstract:-Service Orientated architecture is very emerging field and effective architecture, so it is widely acceptable for distributed application development. SOA provides better functionalities to fulfill business enterprise dynamics. Web services are vital part of SOA which provides flexibility, composability, reusability which makes application building activities easier. With adaptation of SOA in industries, web services have become an integral component. Consumers are interested in quality, security, reliability and performance rather than SOA functionalities. To provide security as a feature several security standards like web service security standards and WS security policy have been adopted in recent years. WS security is a cryptographic approach that states a strategy and specification to combine different security technologies. In this paper, study of framework which enhances the end to end security concepts is given and this framework increases security at service level. The proposed framework will increase the software reliability and secure an application end to end.

Vol 1, No 3 (2018): Android Based Security

Authors: Raghav Tyagi, Megha Sharma, Satendra Singh, Vaibhav Gavery

Abstract: Security has been a major concern over the years. With the advancement in technology, this issue has been addressed to a certain extent but despite of all available tools and technologies, there exists no consolidate solution to the above stated problem. Also, with the widespread and indispensable use of smartphones seen over the current decade, the amount of e-waste generated due to them, is huge and practically has no pragmatic way to dump the same. Working along the same lines and finding a solution to serve both these issues, we have been working on developing a security system using spare Android phones available at a household. This is, in turn, an economical solution wherein spare android devices can be used in order to provide security surveillance at homes, offices by common people in their day to day life.

Vol 1, No 2 (2018): Automatic Quiz Generator using NLTK

Authors: Sandeep Saralaya K, Suhana S Rao, Suman S B

Abstract: In this paper we present an automatic quiz generating system which will generate a gap fill (Fill in the blank) from given file using NLTK. The systems will sentences with particular keywords. Selected sentences will be generated as questions by removing keyword. As the result will be stored in graphical or tabular format, this system will be useful in monitoring the performance of students in individual subjects.

Vol 1, No 2 (2018): Political Comments Analysis Using Text Mining

Authors: Anurag Khadase, Diksha Jambhulkar, Pradip Ramteke, Shubham Borghare, Amit Pimpalkar

Abstract: Text prospecting refers to the use of data prospecting, tweet analysis, compotation calculations, and symmetric to systematically determine, cutting, characterize, and study feeling states and instinctive useful data. Text mining is widely applied to voice of the client materials such as reviews and survey analysis, online and social media, and wellness program for applications that range from marketing to customer courtesy to clinical medicine. Conventionally on twitter posting, text analysis aims to determine the prejudice of a twitter account holder, advertisement or other subject regarding some motive or the overall transient polarity or impulsive receptivity to archive, intercommunication, or event. The attitude may be a prudence or estimation, affective state (haddest say, the impulsive state of the author or speaker), or the steady impulsive articulation. We extracted recent 50 tweets as a sample to analyze the sentiment of a selective twitter handle or twitter account using the highest score generated for positive, negative & neutral file.

Vol 1, No 2 (2018): Restructuring of FP - Tree using AUUB for mining High Utility Itemsets in Dynamic Database

Authors: N.Anusuya, D. Gokul Shanmugavel, Mr. K. Logeswaran, S.Savitha

Abstract: In this paper, we propose an efficient algorithm for mining high utility itemsets from dynamic databases, in which their volume of transactions can be increased dynamically. The previous algorithms have many drawbacks such as the unnecessary scanning of databases and unwanted candidate generation. These drawbacks can cause degradation of performance in dynamic databases because processing becomes tougher if the database size increases dynamically. In this paper, we build a compact tree structure and header table to maintain the required information. This avoids the unnecessary scanning of databases during the mining process. The algorithm proposed in this paper generates only a set of essential itemsets. The FP –Tree is constructed and it is called Incremental High Average Utility Itemset (IHAUI) Tree which is restructured based on Average Utility Upper Bound (AUUB) to preserve the compactness of the tree structure. This algorithm has much better performance than Apriori because it generates frequent itemsets by scanning the given database only two times for constructing the tree structure. This algorithm shows better performance and efficiency than the previous algorithms.

Vol 1, No 2 (2018): Rheumatoid Arthritis Prediction by Thermal Image Processing and Neural Network

Authors: Manish Krandikar, Satish Pusdekar, Amruta Thakre, Vaishnavi Pimplapure, Prachi Gavhale, Yamini Guhe

Abstract: RA is inflammation diseases and is used to predict the arthritis it will affect the body parts is legs, joints, and wrist and many others RA is one less part of arthritis with the help of the arthritis we can detect the patient is actual suffer or not, also we will use the thermal image by using the thermal camera to detect the total pixel area of thermal image and in image we can select the any area that are present in thermal image all the process is going through the MATLAB processing system. Also we will detect the actual value of skin area and total pixel we can use the neural network. Neural Networks helps to check the previous database and get the correct output for these also it will be available to different technique to do a various logical, statistical parts are included neural network includes three layers that is input , middle ware layer and output layer it will goes from these three layer and it will get that result.

Vol 1, No 2 (2018): Vishwashanti Payroll Systems

Authors: Vikrant Chole, Srushty Ganvir, Rushab Bagwan, Ankit Manapure, Ragini Suryavanshi, Anshul Ganvir

Abstract: In our paper, attendance management system is introduced through which the salary will be calculated of the employee. This system consists of a hardware through which the employee can mark their attendance and once the attendance is made, the salary of the employee can be calculated using their personal details and based on their attendance.

Vol 1, No 1 (2018): Local Transport Tracker and Reminder System

Authors:-Aditya Raj Purohit, Keval Jain, Shreeyash Bothare, Vinay kumar Talreja, Dhanashree Nevase

Abstract:- The bus arrival time is major information to nearly all city transport travelers. Extremely long waiting time at bus stops depresses the travelers and makes them unenthusiastic to take buses. Here, we propose a bus arrival time forecasting and reminder system depending on bus passengers’ participatory sensing. With commodity mobile phones, the bus passengers’ surrounding environmental context is effectively collected and utilized to estimate the bus traveling routes and predict bus arrival time at various bus stops. This system exclusively relies on the mutual effort of the contributed users and is independent of the bus operating companies, so it can be easily adapted to support universal bus service systems without any support from bus operating companies. Instead of referring to GPS-enabled location information, we resort to more generally available and energy efficient sensing resources, including Wi-Fi signals, movement statuses, etc., which bring less burden to the participatory party and encourage their participation. We develop a prototype system with different types of Wi-Fi-based access points (AP) and comprehensively experiment with the buses as well as Pune public buses.

Vol 1, No 1 (2018): Real Time Practical Navigator Using Augmented Reality

Authors:-Supriya Mane, Pratibha More, Prasad Mathad, Dheeraj Soni, Uday Mane

Abstract:-The use of mobile phones has become ubiquitous in today’s world. Integrating the Navigation System with the smartphone technology is no more a new concept. The Global Positioning System (GPS) acts as a key factor to merge them together. It is a satellite-based radio-navigation system that provides geo-location and time information. The advancements in technology have enabled us to use the Augmented Reality concept in the field of navigation and thus make it more reliable and user friendly. Merging the real world information with the virtual objects to show directions to the user helps in creating a real time effect for the user while navigating. In this project the GPS of the device or mobile and also some API’s provided by Google is used to develop a Real Time Practical Navigator using Augmented Reality.

Vol 1, No 1 (2018): Heart Disease Prediction Using Data mining Technique

Authors:-Pavithra, Meghana M Naik, Kruthika, Punita T K, Dr. Sarojadevi H

Abstract:-Nowadays, health diseases are increasing drastically due to life style, hereditary factor and other reasons. As heart disease has become more common these days life of people is at risk. Each individual has different values for Blood pressure, cholesterol and pulse rate at different points in time. The main objective of this paper is, to train the data from collected dataset, identify the heart diseases, and predict the heart disease based on the dataset values. This paper gives the prediction of the risk level of each person based on age, gender, Blood pressure, cholesterol, pulse rate. The patient risk level is classified using data mining classification techniques such as Naïve Bayes, Decision Tree Algorithm and the type of heart disease is by Association Techniques. Using these techniques one can predict occurrence and type of heart diseases.

Vol 1, No 1 (2018): An Efficient Video Processing Technique to Detect Movie Piracy Using Map Reducess

Authors:-P Srinivasa Rao, N.Susma Rani, T. Chaitanya Kumar, S. Vidyasagar Appaji

Abstract:-Now days movies are streaming on internet as soon as they are going to release in the market. In this digital era movies are pirated during transmission from one location to another. Once the copy is pirated that affects the revenue of the movie industry there are many approaches implemented to detect the movie piracy. The paper proposes a visible watermarking technique on video to detect whether the movie is pirated or not. While implementing the watermark technique the data become massive to handle these massive data the traditional tools are not suitable for processing. The process for video watermarking is very time consuming. Hardtop map reduce environment is considered for rapid implementation of video watermarking technique.

Vol 1, No 1 (2018): A Web Application for Online Parlour Salon System

Authors:-Aishwarya Khandare , Diksha Sawant, Pranita Sankpal, Vishal Devakate, A. S. Shewale

Abstract:-Salon Book is an online salon administration application with arrangement planning usefulness. It interfaces customers, salons, and beauticians in an online group enabling clients to peruse salons and beauticians, and book or wipe out arrangements. Clients can likewise compose and read audits of salons and specific beauticians. Salons can indicate the beauticians that work at their salons, and additionally the administrations they offer. Salons can likewise book arrangements for clients.

1 - 20 of 20 Items