MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

School of Computer Engineering & Technology

The majority of people nowadays are facingthe time management issues with travellingdue to improperschedule. So there is need for a system which helps them to schedule their trip with proper time management. This papergives the system which helps the user who wanted to schedule a trip. The application users only enter the place which theywant to visit and it will display all the details about that particular place and their nearest visiting places. Hence thisallows the user to easily know about that place instead of searching the whole internet for the trip he is going to make.After that system generates the schedule of the trip with the time constraint. Admin can also manually add the placedetails like their GPS locations, nearest visiting places, visiting time etc. Also, they manage the place information anduser accounts.

World University root node

Engineering and Technology

International Journal of Latest Transactions in Engineering And Science (IJLTES), ISSN: 2321-0605

Smart Travel Scheduler: An Expert System for Tourists A Survey

Stress is the mental condition of the human body thatcauses it’s dis-functioning. It affects adversely on body partsresulting in health disorders. Traditional method of stressdetection includes lab tests done by doctor. Besides traditionaltechniques, sensors are used to measure physiological signals,as these signals make it easy to detect stress. Based ontechniques of data collection, this paper is divided into twotypes, one for In-lab experiment, in which participants wearvarious sensors on their body which is invasive for real timeapplication while in second, data was collected from sensorswhich are already available in the handy devices of participantsuch as smartphone, wearable devices etc. Different types ofsensors and their uses are explained in this paper. Automaticreal time stress detection systems can be developed. This paperlists various algorithms used to gain more accuracy in detectingstress. This paper is helpful for the fellow researchers who willbe working on automatic stress detection. Various studies inthis domain have been reviewed and this is a primary effort insummarizing the highlights of the previous research done instress detection domain.

Asian Journal of Convergence in Technology (AJCT)

Stress Detection Using Smartphone and Wearable Devices: A Review

Breast cancer is the most common type of cancer worldwide. Early diagnosis of breast cancer can result in better treatment options increasing the survival chances of a patient. Automated or computer aided detection of breast cancer is applied in order to improve the accuracy and turnover time. However, the accuracy of automated detection systems can still be improved. Most of the efforts in the computer aided detection systems classify the images into cancerous and non-cancerous categories. The aim of this paper is to classify the mammographic lesions into three categories namely circumscribed, speculation and normal. The novel Pixel N-gram features have been used for classification of these lesions. Pixel N-grams are originated from character Ngram concept of text categorization. Classification performance is noted in order to analyse the effect of increasing N and effect of using different classifiers (MLP, SVM and KNN). It was observed that the classification performance increases with increase in N and then starts decreasing again. Moreover, classification performance achieved using MLP classifier was better than the performance using SVM or KNN classifiers. Keywords—Classification, Mammograms, N-grams, SVM, MLP, KNN

Asian Journal of Convergence in Technology

Fine Grained Classification of Mammographic Lesions using Pixel N-grams

DTN is a network with the routing approach of the store and forward. It is characterized by (i) intermittent connectivity that is a constant path along the length is not available (ii) long delay in delivery of packets starting from source to destination and (iii) the nodes are sparse and mobile. Traditional method can’t perform in such an environment, steering in DTN is done using the store-carry-forward method, where the source or the middle node stores the packet until it meets up the node for forwarding. The main confront of this networks are power usage limitation, mobility patterns, choices of middle nodes, efficient handling of the limited network resources like buffer spaceetc.This paper provides the study of variousDTN routing algorithms and DTN routing techniques, their categories, and various routing algorithms. Use of routing techniques is one reason for the performance degradation of present DTN algorithms. So, to overcome with this problem, neighbour discovery needs to be done as determining valid neighbours is the main region of many network functions, for that we will be using Bluetooth techniques to transfer the data for the vehicle to vehicle interactions by keeping in mind that in future every car will be Bluetoothenabled.

Journal of Applied Science And Computations

DTN Based Data Transportation System Using Bluetooth Technology: A Survey

Smartphones are considered to be powerful gadgets in today’s world, and many smartphone applications use wireless multimedia communications. Security of mobile phone is the essential factor of security issues in wireless communications. The primary stage mobile threats observe the attackers that are relying on different scams that are deliveredvia SMS. As the technology progresses rapidly in some key applications whichmainly includes Web browsers, e-mail clients, and so on which is common and mandatory on smartphone devices. We focus on providing data security to mobile users and in addition provide prevention against camera attacks. In case of theft, user can get the photos and video of thethief.

Journal of Applied Science and Computations (JASC), ISSN (Online): 1076-5131

Smart Theft Alert and Data Privacy for Android Based Devices

The number of casualties from road accidents keeps arising each year. During long distance journeys , drivers usually are sleep deprived as they do not take enough breaks and there is a high risk of becoming drowsy and causing accidents. Drowsy Driver Detection System is developed, using a machine learning and image processing concepts. Proposed system is ready to use for car because of compact hardware which consumes less power and provides much faster processing speed and also can be operated in low light conditions. This system detects the eye landmarks from camera frames for monitoring the drowsiness of driver. Inspite of having several methods for measuring the drowsiness, this approach is completely non-intrusive and does not affect the driver in any way, thus giving the exact condition of the driver. For detection of drowsiness the method of per closure value of eye is considered. When the closure of eye exceeds a certain amount then the driver is identified to be sleepy. For implementing the system several OpenCv libraries are used including Haar-cascade. The entire system is implemented using Raspberry-Pi.

International Engineering Research Journal (IERJ)

DRIVER DROWSINESS DETECTION AND ALARMING SYSTEM

Deep Learning is one of the active analysis topic obtaining a great deal of analysis attention recently. This increase in analysis interest is driven by several area as that are being worked on like machine-based reality finding, good over-seeing, sensory activity recognition, online learning, world of advertisement, text analysis and so on. Videos have specific characteristics that make their method unique. Visual aesthetic typically: Remember what they see, understand and learn rather than what they hear. This paper principally emphasizes deep learning on basics of automatic video aesthetic assessments.

International Journal of Scientific Research in Computer Science, Engineering and Information Technology

Analysis and Importance of Deep Learning for Video Aesthetic Assessments

Aesthetics is defined by the properties of arts and beauty. In our day to day lives with the increase of multimedia requirements the aesthetic sense of images and videos has gained much importance. The earlier research was based on the Handcrafted features to assess the aesthetics of videos and images. In this paper, we review the deep learning techniques which effectively automate the video and image aesthetics analysis. Deep learning achieves an impressive performance in automated aesthetics analysis in comparison to Handcrafted features.

Fulltext

International Journal for Research in Applied Science and Engineering Technology

Survey: Deep Learning for Video Aesthetics

A chatbot is a software that simulates aconversation with a human in a generalized form throughvarious applications like messaging, websites, mobileapplications, etc. Traditionally, a search engine was used toanswer any type of questions, but with the advancement intechnology the use of chatbot has increased and it allows theuser to simply ask any question in a same manner they wouldcommunicate with humans. The interesting features of this is thatthey are self-learning and become intelligent over time usingtechnologies like Machine Learning and Natural LanguageProcessing(NLP). This paper provides a brief overview of the useof NLP in chatbot as well as the working of different algorithms.It studies various machine learning algorithms used fordeveloping chatbots.

Thomson Reuters UGC approved peer reviewed journal,

An overview of NLP based Chatbot

Now a day’s mobility in sink has been renowned by the researchers. In normal conditions the data is collected by the sink with single or multi hop structure. A concept is introduced for sink with the mobility. A lot of research is going on in the field of data collection using mobile sink. The researchers talked about sink mobility where the sink is moving in the specified area and get the data from the sensor node. For collecting the data from the sensor node the mobile sink may or may not take different path on each journey. If route is not fixed then path should be calculated which should be a shortest path .For data collection methods it may use single sink or multi sink. Sink mobility basically focuses on various factors like energy consumption, life time of the network, cost of the network , hotspot problem etc .This paper contains a survey of different methods used for data collection using mobile sink.