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Editorial
The special issue “Emerging Aerospace Technologies in Aerodynamics, Propulsion, and Materials” is published which covers the aerospace domain covering aerodynamics, propulsion, and materials used for aeronautical and aerospace domains. In this issue, the authors have focused on the articles related to experimental and computational work related to aircraft performance, aircraft stability and control, materials, and some other important areas. Most of the papers are based on Project Based Learning which is one of the research-oriented teaching-learning processes recently introduced in National Education Policy 2020 by the Government of India
Advancements in UAVs-A review
ABSTRACT: Present decade has been observed that Unmanned Aerial Vehicles(UAVs) are occupying the sky to accomplish different missions. They became the popular area of interest due to their growing utility and relative cost. Increased demand of UAVs allowing the researchers for the optimized UAV as a major area of interest. They are providing new and better opportunities to cellular networks. UAV industry is undergoing a huge amount of advancements in it such as in navigation system, privacy and security ,mission management system, power system communication system etc. this article mainly focuses on the advancements regarding privacy and security of UAVs ,mission management system. The motivation behind the development of strategies for defending the breaches caused by data protection and public safety them are examined. This study gives an overview about past and how the present usage of UAVs is optimized by implementing the defense techniques. The major six criteria implemented to defend socio-technical concerns are explained. Few countries which adapted these regulations are discussed briefly .Ensuring security of the UAV system is studied considering physical security and cyber security as major aspects. The study also provides the techniques to defend these security threats. on Mission planning and mission management
Feasibility Study of Solar Powered Unmanned Aerial Vehicle
High Altitude Long Endurance Unmanned Aerial Vehicles (HALE UAVs) could provide an improved service and/or flexibility at a reduced cost over existing systems for a vast number of civil patrol and surveillance applications. This document looks into the Feasibility and Conceptual Design of Solar Powered UAV for HALE applications. It mentions the advancements in technology of the components required to build an efficient solar powered UAV. It also provides a preliminary design methodology that can be adopted for the conceptual design of Solar Powered UAV. It also emphasizes the Aerodynamic difficulties that are faced in HALE configurations
EXPERIMENTAL ANALYSIS OF DOUBLE BOX WING UAV.
ABSTRACT
In an attempt to reduce the induced drag on a wing, Prandtl found that induced drag reduced significantly by highly increasing the number of vertically offset wings. The same result could be obtained by joining the wingtips of two vertically offset wings. This helped increase payload capacity and also reduced fuel consumption and emissions. Such a wing configuration came to be known as Prandtl’s box wing. In this work, the design and analysis of a box wing aircraft model has been carried out. The preliminary analysis is performed using XFLR5, and the computational analysis is done with the help of ANSYS 18.2. The values of experiments are computed with the help of MATLab R2017. The box wing model has shown a nearly 53.74% reduction in drag as compared with conventional wing models. The computational results of drag have been compared and validated with the results of analytical and the experimental results from the wind tunnel and found to be within 10% of the computational result. Since the drag of the box wing is significantly lesser than the conventional wings the box wing is a feasible configuration which can be used to design various aircrafts including Unmanned Aerial Vehicles and Commercial Planes
Dr. Alok Kumar
Dr. Alok Kumar is working as an Associate Professor in the area of Quantitative Techniques and Operations Management at FORE School of Management, New Delhi and are engaged in teaching the papers such as Business Statistics, Operations Research, Business Research Methods and Operations Management. He is a graduate in Mathematics (Hons.) from the University of Delhi and a post-graduate in Operational Research from Department of Operational Research, University of Delhi. He has been awarded Ph.D. degree in Operational Research in the area of Inventory Management at University of Delhi. His area of research interest is developing mathematical models in the field of inventory management and has published numerous research papers in refereed journals of national and international repute in the field of developing models for integration of innovation diffusion theory with inventory management. He also develops papers based on empirical research using research methodology techniques. He has several years of teaching and research experience. There are more than 25 research papers which have been published in international journals of high repute which are published by Springer, Taylor & Francis, Emerald, Inderscience etc., several research papers are published in conference proceedings, numerous research papers are published as book chapters and 11 research papers are published as working papers. Dr. Kumar has also conducted MDP in the area of decision making through quantitative techniques and FDP on Machine Learning & Data Analytics.https://www.interscience.in/mentors/1071/thumbnail.jp
GAJANAND M. S.
Dr. Gajanand holds a bachelor\u27s degree in Industrial Engineering from the College of Engineering Guindy, Anna University, Chennai and a Ph.D. from the Department of Management Studies, Indian Institute of Technology Madras. He worked for Ernst and Young Global Shared Services, Bangalore before joining the Ph.D. programme.At IIM Tiruchirappalli, he teaches students at the Master\u27s and Doctoral level, including working Executives at the Chennai Campus. He offers courses on Operations Research, Operations Management, Decision Analytics for Managers, Business Decision Modelling, Simulation-Based Analytics and Optimization & Heuristics. He believes in the concept of learning-by-doing and adopts the same through his experiential learning pedagogy.
Dr. Gajanand is the founding Programme Director for long-duration Post Graduate Certificate Programmes on (i) Supply Chain Management, (ii) Business Analytics and Applications, and (iii) Manufacturing Management and Analytics, which are being offered by IIM Trichy in the e-Learning mode. He has also taught in various Management Development Programmes and Faculty Development Programmes.His research interest is in the field of Distribution planning and Green logistics, and has various publications in reputed International Journals and leading International Conferences. He is one among the editors of the book titled “Sustainable Operations in India”. He is in the Doctoral Committee of Ph.D. research scholars in various reputed institutes. He is also a Lifetime Member of the Operational Research Society of India (ORSI) and the Society of Operations Management (SOM).https://www.interscience.in/mentors/1078/thumbnail.jp
Evaluation of Proactive, Reactive and Hybrid Ad hoc Routing Protocol for various Battery models in VANET using Qualnet
In VANET high speed is the real characteristics which leads frequent breakdown, interference etc. In this paper we studied various Ad hoc routing protocols, Reactive, Proactive & Hybrid, taking in to consideration various VANET parameters like speed, altitude etc in real traffic scenario and evaluated them for various battery models for energy conservation.. The AODV and DYMO (Reactive), OLSR (Proactive) and ZRP (hybrid) protocols are compared for battery models Duracell AA(MX- 1500),Duracell AAA(MN-2400),Duracell AAA(MX-2400), Duracell C-MN(MN-1400),Panasonic AA standard using Qualnet as a Simulation tool. Since Energy conservation is main focus area now days. Hence performance of the protocols with various battery models counts and helps to make a right selection. Varying parameters of VANET shows that in the real traffic scenarios proactive protocol performs more efficiently for energy conservation
Image Edge Detection
This paper presents a novel algorithm for the image edge detection using the fuzzy logic approach is proposed. Each different edge detection method has its own advantages and disadvantages. For example each method detects part of real edges and also some unreal edges. The contemporary Fuzzy logic, a key concept of artificial intelligence helps to implement the fuzzy relative pixel value algorithms and helps to find and highlight all the edges associated with an image by checking the relative pixel values and thus provides an algorithm to abridge the concepts of digital image processing and artificial intelligence. A set of fuzzy conditions for the comparison of pixel values with adjacent pixels to check the pixel magnitude gradient in the window. After the testing of fuzzy conditions the appropriate values are allocated to the pixels in the window under testing to provide an image highlighted with all the associated edges. The results of the proposed edge detection algorithm were compared with other techniques and it is found that the image obtained using the proposed approach is qualitatively the best
DATA WAREHOUSING APPLICATIONS: AN ANALYTICAL TOOL FOR DECISION SUPPORT SYSTEM
Data-driven decision support systems, such as data warehouses can serve the requirement of extraction of information from more than one subject area. Data warehouses standardize the data across the organization so as to have a single view of information. Data warehouses (DW) can provide the information required by the decision makers. The data warehouse supports an on-line analytical processing (OLAP), the functional and performance requirements of which are quite different from those of the on-line transaction processing (OLTP) applications traditionally supported by the operational databases. Data warehouses provide on-line analytical processing (OLAP) tools for the interactive analysis of multidimensional data of varied granularities, which facilitates effective data mining. Data warehousing and OLAP have emerged as leading technologies that facilitate data storage, organization and then, significant retrieval. Both are essential elements of decision support, which has increasingly become a focus of the database industry. This paper provides a detailed picture of Data warehousing (DW), exploring the features of it, applications and the architecture of DW over Data Mining, Online Analytical Processing (OLAP), On-line Transaction Processing (OLTP) technologies
A COMPARATIVE ANALYSIS OF ECDSA V/S RSA ALGORITHM
Elliptic curve Cryptography with its various protocols implemented in terms of accuracy and fast observation of results for better security solution. ECC applied on two finite fields: prime field and binary field. Because it is public key cryptography so, it also focus on generation of elliptic curve and shows why finite fields are introduced. But for accurate observation we do analysis on category of cryptographic primitives used to solve given security problem. RSA & ECDSA both have basic criteria of production of keys and method of encryption and decryption in basic application as per security and other properties which are authentication, non-repudiation, privacy, integrity