Volume: 1 | Issue: 1 | Year: 2019
Automatic E-Learning platform through Cloud Computing
Author : Dr. MOLLI SRINIVASA RAO , BOSUBABU SAMBANA
Abstract: ach client or Student can utilize Personal Computer based research and scholastic learning offices are a basic iece of the e-Learning Platform. With the introduction of Cloud Computing developments, a regularly expanding number of labs move into the cloud, known as virtual labs. While there are gigantic focal points for using virtual labs, there is similarly extension flightiness with respect to the utilization of them. There are various cloud organization structures (Cloud MS, Cloud stage based learning instruments), which incorporate an extra stage of multifaceted nature to the individual e-taking inexperience both from the perspective of the instructor, client and of the understudy condition.
An Overview of Cryogenic System and Applications
Author : .VIRUTY SRIDHAR PATNAIK
Abstract: The development in cryogenic system in various operation of cryogenic instrumentation in industrial raises the level of mission complexity, risk and associated cost. Any application must then be justified on the basis of its specific return. In this paper is represents overview of cryogenic scientific missions, the cryogenic detectors and applications related technologies, and the mission objectives, offering unmatched performance and unique advantages. In the case of other applications, such as telecommunications, the advantages offered by various industries produced devices need to be evaluated against their development and operating costs, and compared with alternative technologies.
Smart Agriculture using Internet of Things
Author : BOSUBABU SAMBANA
Abstract: Agriculture plays huge role in the continuously development of agricultural country. In our India about 70% of population depends upon farming and one third (1/3) of the nation’s capital comes from agriculture services and farming. Various issues concerning agriculture have been always hindering the development of the country. I hope these problems comes main solution to this problem is smart agriculture by modernizing the current traditional methods of agriculture. Hence in the project aims at making agriculture smart using automation and Internet of Things (IoT) technologies. The highlighting and mainly focusing features of this project includes smart GPS based remote controlled robot to perform tasks like weeding, spraying, moisture sensing, bird and animal scaring, keeping vigilance, etc. Secondly it includes smart irrigation with smart control and smart intelligent decision making based on accurate real time field data. Thirdly, smart warehouse management which includes temperature controlling and maintenance, humidity maintenance and theft detection in the warehouse. Controlling of all these providing operations will be through any remote smart device or computer connected to Internet and the operations will be performed by interfacing sensors, Wi-Fi or ZigBee modules, Temperature sensors, camera and actuators with micro-controller and raspberry pi.
Medical Image Segmentation using Weighted Identification Level Set Evolution based on Local Edge Features
Author : G.NIRMALA JOYCEE
Abstract: Image Segmentation is the process of identifying features in images and marking them as distinct from one another. These features can be things like grey and white matter in an MRI of the brain or individual organs in an MR or CT image. Magnetic resonance imaging (MRI) provides detailed images of living tissues, and is used for both brain and body human studies. In this project, we propose a color based segmentation method that uses the K means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means to convert a given gray level MR image in to a color space image and then separate the position of tumor objects from other items of an MR image by using K means clustering And histogram clustering .Experiments demonstrates that the method can successfully achieve segmentation for MR brain images to help pathologists distinguish exactly lesion size and region.
Review on Text Mining Based on Social Media Comments using Big Data Analysis
Author : P.J.V.G. PRAKASA RAO
Abstract: Text mining and conclusion investigation have gotten enormous consideration as of late, exceptionally as a result of the accessibility of tremendous information in the type of content accessible via web-based networking media, web-based business sites, web journals, and other comparative sources. This information is generally unstructured and contains clamor, in this way the assignment of picking up data is intricate and costly. There is a developing requirement for creating distinctive systems and models for productively preparing the writings and separating adept data. One approach to extricate data is Text mining and opinion examination, which include: information obtaining, information pre-preparing and standardization, highlight extraction and portrayal, naming, lastly the use of different Natural Language Processing (NLP) and machine learning calculations. This paper gives an outline of various techniques utilized in Text mining and notion investigation explaining all subtasks.
Identifying Selective Forwarding Attacks in Wireless Sensor Networks using multiple resources
Author : KSNV SOMESWARA RAO
Abstract: A Wireless Sensor Network (WSN) consists of distributed autonomous devices that monitor both physical and environmental conditions. Sensor Networks are used for weather prediction and measuring
Fabrication of 360 Degrees Rotating Vehicle for a Four Wheel Steering System of a Car
Author : M Nagakiran
Abstract: Modern development and economical progression of Indian society resulted in increase of cars on roads. Due to space constraints, car parking is the major problem faced in most parts of the country.
