Assessment of risks in cloud computing
In the simplest term cloud computing means storing and accessing data over the internet instead of using the computer’s hardware. Cloud computing is a type of internet-based computing which provide us shared processing resources and data to the system and other devices according to the demand of the user. Cloud computing can be used everywhere in today’s life. Cloud computing security is broad research with various concerns, starting from protecting the hardware and platform technologies to protecting clouds data and resource access (through different end-user devices). Although there are n numbers of advantages of using cloud computing and all of them are tremendous, but the security and privacy concern of cloud computing has always been the main concern of numerous cloud customers and an impediment to its widespread adaptation by business and organization. The paper presents a review in the field of cloud computing with a focus on risk assessment.
Published by: Swati Singh
Author: Swati Singh
Paper ID: V5I4-1259
Paper Status: published
Published: July 26, 2019
A study on welfare policies of Amara Raja Power System Limited: A case study in Tirupati
I conducted a Survey Method through Structured Questionnaires in the Employees of ARPSL Tirupati. The convenience sampling procedure is used for the data collection, sampling size is116 through Personal Interview and Percentage analysis and Chi-square tests are used. Finally, in this paper, I found the result that the Majority of the respondents said that Medical and First aid facilities provided by the Company are Excellent. Canteen facilities are good because the cleanliness maintained, proper storage of raw materials, food served is nutritious quality and quantity of food served is good. Working conditions of the company in respect to Ventilation, Lighting, Temperature, Seating arrangements, cleanliness inside working premises are very good. Employee satisfaction levels on Social security benefits like PF, ESI, Gratuity, SAS and Benevolent Fund schemes provided by the company is good. Transport facilities, Bachelor Hostel facilities, Family quarter’s facilities, Recreation facilities provided by the company are good.
Published by: B. R. Tejesh Reddy, Dr. D. Yuvaraju
Author: B. R. Tejesh Reddy
Paper ID: V5I4-1242
Paper Status: published
Published: July 26, 2019
Smart garbage monitoring system using Wireless Sensor Network
The present garbage monitoring system is major trouble in the growing cities. As the population is growing, the garbage is also increasing. This chaotic collection of garbage is polluting the environment, leading to health problems. The present waste management methods are not effective to handle the increasing levels of garbage’s that are being produced. This paper proposes IOT based smart device for dustbin which can detect the level of garbage at various part of the dustbin and also can detect methane gas concentration and send message to the server. If the detected value is above the threshold, the smart device will send the location of the filled dustbin to the server. The data from every such device is stored, processed and monitored in the cloud. The processed data is sent to the concerned authorities through email. The data can be viewed in the android app
Published by: Vinay S. G., Dr. Shankaraiah, Vikas K. M., Vemula Jaswanth Krishna, Nagaraja G. R.
Author: Vinay S. G.
Paper ID: V5I4-1246
Paper Status: published
Published: July 25, 2019
Design and analysis of a car radiator fan assembly to mitigate the effect of aeroacoustic dipole noise
Engine cooling fans contribute a major portion of the total noise generated by the different mechanisms in a car. Therefore the design aspect of the fan blades and housing need impeccable research and careful machining to limit the noise level to a bare minimum. The noise generated from the design aspect of the fan can be grouped into two categories, rotational and irrotational. The rotational domain takes into consideration the effect of turbulence and inflow distortion while the irrotational domain considers the effects of laminar boundary layer vortex shedding, blade interaction with tip clearance and the phenomena of blade stall. The objective is to analyze the acoustic behavior and response from the fan blade and housing when exposed to incoming airflow in a car. The process due to which the aeroacoustic dipole noise is generated is investigated and the parameters affecting the noise level are assessed. The flow and acoustic analysis are carried out on SOLID WORKS flow simulation and the generated data for our particular case is represented on a graphical scale against frequency. The causes behind noise generation in a fan assembly is studied and major emphasis is laid on the aerodynamic factors, which affect the noise generation in the radiator cooling fans. After validating the theoretical procedure, an attempt is made to redesign the existing fan assembly structure by adding grills and MPP dampeners and source modification is done to reduce noise levels.
Published by: Anshuman Kumaar Singh
Author: Anshuman Kumaar Singh
Paper ID: V5I4-1239
Paper Status: published
Published: July 25, 2019
A review on object detection from Unmanned Aerial Vehicle using CNN
UAV stands for unmanned Aerial Vehicle, which can be as small as birds, regular drones or as big as private aircraft with no pilot on board. Since there is no one onboard UAV is remotely controlled. UAV is currently being used for a different purpose, examples are spy footages, sky view footage, reconnaissance, attacking roles, aerial surveillance, motion picture filmmaking, disaster rescue, parcel delivery, warehouse management, and other uses. Due to UAV multi-functionality and portability especially drones demand is growing faster, therefore, people need systems that work with the UAV (drones) to detect objects in real-time for military, safety reconnaissance, and surveillance. This paper review approaches to detect objects from camera view and from UAV scenes using machine learning algorithms. The growth of computer vision systems initiated better algorithms using huge training and testing datasets, faster GPU and CPU so that systems can achieve state of the art object detection system by training and classifying the data using machine learning approach. Since there are different orientation, background, occlusion in an image, object detection is not an easy task. The goal of object detection is to categorize images and video feeds from UAV into common categories.
Published by: Amanuel Ayalew, Dr. Pooja
Author: Amanuel Ayalew
Paper ID: V5I4-1250
Paper Status: published
Published: July 25, 2019
Comparative study of time history analysis of cold formed steel frame
Cold-Formed Steel (CFS) framing has been successfully used in a variety of construction applications for many years. Common uses include nonstructural partitions and ceilings, exterior curtain wall and façade support, and complete load-bearing structures, including lateral force-resisting systems (LFRS). Recent advances in the understanding of CFS framing and ongoing research related to the Analysis of seismic force-resisting systems (SFRS) are expected to expand the use of cold-formed steel framing into more complex, robust structural systems. This project focuses specifically on the use of cold-formed steel SFRS in buildings. Standard analysis procedures apply to cold-formed steel analysis. However, because CFS shapes often include elements with high width-to-thickness ratios, limit states not common to other construction materials must be considered in the design process. These limit states are discussed in the Project. The analysis is carried out using E-TABS software. To analyze and compare the structure the 2 models are formulated of 5 stories and 10 stories. The model is symmetric in plan having a 2×2 grid. The main objective of this study is to examine the behavior of cold-formed steel frame considering different modeling systems. All the above cases are analyzed for El Centro earthquake records i.e. Time History Analysis.
Published by: Chintamani Abhishek, Nagesh Shelke
Author: Chintamani Abhishek
Paper ID: V5I4-1249
Paper Status: published
Published: July 25, 2019
