Volume 7 Issue 1

Volume 7 Issue 2

1. Emerging Trends in Cyber Crime and Safet
Author's Name: R.Shanthi Prabha

Abstract— Cyber Security plays an important role in the field of information technology. In the present day to securing the information is biggest issue. Whenever we think about the cyber security the first thing that comes to our mind is cyber crimes which are increasing immensely day by day. Various Governments and companies are taking many measures in order to prevent these cyber crimes. Besides various measures cyber security is still a very big concern to many. This paper mainly focuses on challenges faced by cyber security on the latest technologies .It also focuses on latest about the cyber security techniques, ethics and the trends changing the face of cyber security.

2. Human Interaction With Robots Through Verbal Communication
Author's Name: C.Vasuki

Abstract— In this paper is an overview of human–robot interaction (HRI) through verbal communication. Fundamentally, HRI problems represent breakdowns in communication, where poor information exchange between human and robots leads to faltering, wrong mental representation, poorly balanced trust, incomplete situational awareness, etc. Verbal communication in robotics is a significant increasing field in both the industrial and research side. The aim of verbal communication in robotics is to reach a natural human-like interaction with robots

3. Mobile Application to Detect Brain Tumor Using Transfer Learning
Author's: C.Bharath Balaji ,Dr.G.Charulatha, B.Lavnaya, B.Sree Devi,M.Dhivyabharathi

Abstract—In this paper, Classification of Brain Tumor (BT) is a vital obligation for assessing Tumors and making a suitable treatment. There exist numerous imaging modalities that are utilized to identify tumors in the brain. Magnetic Resonance Imaging (MRI) is generally utilized for such a task because of its unrivalled quality of the image and the reality that it does not depend on ionizing radiations. The relevance of Artificial Intelligence (AI) in the form of Deep Learning (DL) in the area of medical imaging has paved the path to extraordinary developments in categorizing and detecting intricate pathological conditions, like brain tumor, cancer etc. Deep learning has demonstrated an astounding appearance, particularly in segmenting and classifying brain tumors. In this work, the AI-based classification of BT using Deep Learning Algorithms is proposed for the classifying types of brain tumors utilizing openly accessible datasets. These datasets classify BTs into (malignant and benign). The datasets comprise 696 images on T1-weighted images for testing purposes. The projected arrangement accomplishes a noteworthy performance with the finest accuracy of 99.04%. The achieved outcome signifies the capacity of the proposed algorithm for the classification of brain tumors.

4. Analysis of Neuro-Imaging and Prediction of Alzheimer’s Syndrome and Brian Tumor using Machine Learning Techniques
Author's: Abirami K, M.Renuga, B.Lavanya, K.Lakshmi priya , K.Senthil Kumar

Abstract—This paper discusses about the analysis and detection of brain tumor and Alzheimer’s disease. A digital MRI scan is used for this purpose. Medical image processing and analysis tasks are complex and diverse at the technical level. There is an array of technologies including reconstruction, enhancement, restoration, classification, detection, segmentation and registration that are combined with multiple image modalities and numerous applications are formed and should be addressed. AI-based tools are developed to support the assessment of disease severity and recently there are tools for assessing treatment and predicting treatment success. Finally, numerous studies in fields like clinical neuroscience have shown that AI-based image evaluation can identify complex imaging patterns that are not perceptible with visual radiologic evaluation.

1. Analysis and Design of Bike Intercom Voice-Over Electronic Circuit System
Author's Name: Mr.Utsav Meenal

Abstract— This paper deals with the bike intercom Voice-over electronic system .On long distance bike rides, riders typically plug in headphones to listen to songs and/or podcasts. If the rider is carrying a pillion rider, then communication between them is difficult while riding due to wind noise among other things. The present project tries to address these two problems by introducing an intercom voice-over circuit between the rider and the pillion. A voice-over circuit is that circuit which allows the user to switch between two inputs- a higher priority input and a low priority input. This circuit will have two inputs available. One, audio from the microphone and the other from the mobile phone (music audio). Higher priority signal (audio from microphone) needs to be connected to the higher priority input. A tactile switch is required to activate the voice-over feature. Whenever the switch is pressed voice-over will take place. That is other signals like music audio from the mobile phone will get off immediately and higher priority, audio from the microphone will be given as output to the headphone.

2. EDUCATION LEARNING MANAGEMENT SYSTEM USING FLUTTER AND FIREBASE TECHNOLOGY
Author's Name: Vaibhav Goyal Sourabh Beniwal Tanu Khandelwal Shubham Meena

Abstract— ., LMS (Learning Management System) helps Institute to get the most accurate information to make more effective decisions. Faculty and HOD gain time saving administrative tools. Learning Management System equipped features makes it possible to generate schedules and reports in minutes and to retrieve attendance records, grade checks, in just a few clicks. Learning Management Systems helps faculties to complete grade book, track students’ attendance, input class notes, create lesson plans and detailed reports. It also helps Students to access assignments and tests, and view attendance records, grades, report cards, and progress reports all online. Learning Management System is an Android Application which is developed in Flutter and Firebase Backend as a Service platform. To implement this application institute do not need expensive hardware and software. They just need an internet connection and Smartphones. Our system works as a centralized database and application that Institute can easily access the system from anywhere based on the login credentials. Learning Management System is a platform independent system that virtually any user can access from anywhere through a standard internet accessible system. We can also customize Learning Management System for individual institute needs.

3.Design and Development of Safety based For Bike Rider Using GPS and Cloud computing Technologies.
Author's Name: R.Sangeetha, K.Keerthika, P.Harini

Abstract—The objective is to provide a resources and devices for detecting and recording collusion between bikes. Sensors and cloud computing infrastructures are utilized for building system. The collision detection system communicates the accelerometer values to the processor which continuously monitors for erratic variations. When the collision occurs, the information’s are passing to the concern by using a cloud-based service. GPS is used for identifying the location of the bike. The application of this system is extended to smart cities and smart helmets.

4. Emerging Trends in Cyber Crime and Safet
Author's Name: R.Shanthi Prabha

. Human Interaction With Robots Through Verbal Communication
Author's Name: C.Vasuki

6. Mobile Application to Detect Brain Tumor Using Transfer Learning
Author's: C.Bharath Balaji ,Dr.G.Charulatha, B.Lavnaya, B.Sree Devi,M.Dhivyabharathi

7. Analysis of Neuro-Imaging and Prediction of Alzheimer’s Syndrome and Brian Tumor using Machine Learning Techniques
Author's: Abirami K, M.Renuga, B.Lavanya, K.Lakshmi priya , K.Senthil Kumar