Volume 8 Issue 10
Author's Name: Naresh Singh, kamesh Agrawal, Niranjan Yadav, Sedamurthy
Abstract—This Classifying data is oneofthe most well-known tasks in Machinelearning. Machine learning gives one of the primary highlights for extricating knowledgefrom huge databasesfromendeavoursoperationaldatabases. Machine Learning in Medical Health Care is a developing field of exceptionally high significance for giving visualization and a more profound comprehension of medical data. Most machine learning methods depend on a set of features that define the behaviour of the learningalgorithm and directly or indirectlyinfluence the perfor- mance as well as the complexity of resulting models. Heart disease and diabetes are two of the main sources of death everywhere throughout the world for a few years.
Author's Name: R.Rubasri, D.Aamaavind
Abstract—The advancement of the Internet of Things technology is playing a key role in developing the health sector by making it much more accessible and affordable through easy to use applications for virtual and distant interactions with patients. Taking the capability of IoT technology into account, it is possible to overcome the difficulties faced by physically unstable patients in consulting a doctor physically on a regular basis. This work has led to a prototype of IoT Based Remote Health Monitoring System for Patients. This prototype consists of three health sensors: heart pulse sensor, body temperature sensor and galvanic skin response sensor.
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Abstract—This paper presents the comparison of proposed double tail comparator with conventional double tail and existing double tail comparator. The low power and high-speed analog to digital converters used are of dynamic regenerative comparators to maximize speed. Presenting different architectures for calculating delay and power consumption in dynamic double tail comparator. The power gating technique is used to design the proposed comparator. By using this technique, delay and power consumption is reduced compared to the conventional double tail comparator and the existing double tail comparator. The important parameters are speed and power consumption. Cadence design tools used to simulate the comparator in the 90nm technology with the supply voltage of 0.6v.
Author's Name: Kishor R, Mahesha K, Ganesh Acharya
Abstract—This The system aims at increasing the success graph of students using Naïve Bayesian and the system which maintains all student admission details, course details, subject details, student marks details, attendance details, etc. It takes student’s academic history as input and gives students’ upcoming performances on the basis of semester. The aim of the system to predict the student performance on the basis of different parameters related to previous year using data mining classification and clustering. An educational institution needs to have an approximate prior knowledge of enrolled students to predict their performance in future. This helps to identify promising students and also provides them an opportunity to pay attention to and improve those who would probably get lower grades. As a solution, we will develop a system too predict the performance of students from their previous performances using data mining classification and clustering. By applying the K-Means and its improved K-Means. The student performance is usually stored in student management system, in different formats such as files, document, records, images and other formats. These available students’ data could be extracted to produce useful information. However, the increasing amount of students’ data becomes hard to be analyzing by using traditional statistic techniques and database management tools. Thus, a tool is necessary for universities to extract the useful information. This useful information could be used to predict the student performance.
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Abstract—The people who are having complete blindness or low vision face many types of hurdles in performing every day routine works. Blindness can occur due to many reasons including disease, injury or other conditions that limit vision. Our aim is to develop a navigation aid for the blind and the visually impaired people. We design and implement a smart cap which helps the blind and the visually impaired people to navigate freely by experiencing their surroundings. The scene around the person will be captured by using a NoIR camera and the objects in the scene will be detected. The headset will give a voice output describing the detected objects. The architecture of the system consists of Raspberry Pi 3 processor, NoIR camera, headset and a power source. The processor collects the frames of the surroundings and convert it to voice output. The device uses TensorFlow API, opensource machine learning library developed by the Google Brain Team for the object detection and classification. TensorFlow helps in creating machine learning models capable of identifying and classifying multiple objects in a single image. Thus, details corresponding to various objects present within a single frame are obtained using TensorFlow API. A Text to Speech Synthesiser (TTS) software called eSpeak is used for converting the details of the detected object (in text format) to speech output. So the video captured by using the NoIR camera is finally converted to speech signals and thus narration of the scene describing various objects is done. Objects which come under different classes like mobiles, vase, person, vehicles, couch etc are detected.
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Abstract—This paper presents the Now a days the drowsiness of driver is leading cause for major accidents. The regular monitoring of drivers drowsiness is one among the simplest solution to scale back the accidents caused by drowsiness. It is vital to style a road accidents prevention system by detecting driver’s drowsiness, determining the extent of driver inattentiveness and provides a warning when an impending danger exists. This paper explains a driver drowsy detection system using video processing, analysing duration and head posture estimation to verify the driving force vigilance state. We capture colour, infrared, depth and 3D body pose information from six views and densely label the videos with a hierarchical annotation scheme, leading to 83 categories.
Author's Name: Md Akbar Ali, A. K. Gautam
Abstract—This In this paper, the Infinitely Variable Transmission in use particular drive a mounted an auxiliary motion in equal number of masses. The variation of transmission in different masses. The IVT has number of identical an unit ,each unit contain tree dimensional yoke , cam follower, pulley wheel, one way clutch and drive motor, though each unit rotational motion is converted in an oscillatory linear motion of variable amplitude and rectified to the rotation motion again. The maximum speed with increases s transmission ratio to the system depends on geometric design factors. This paper reviews the transmission system with a concept proposal for Infinitely Variable transmission
