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Editorial
Get PDFThis special edition is devoted to Rockets and Missile Technology, a developing sector that will likely increase significantly as rocket and missile design technology progress. Modern military arsenals must contain advanced guided-weapons technology. As the need for missile and rocket technology grows, they are employed in various applications. Technological advancements additionally highlight the system\u27s capabilities, functions, and applications, improving its efficacy and use. When it comes to combat aircraft, the armaments that go with them decide the price. New technology and applications such as hypersonic weaponry, long-range rockets and missiles, and space-based military equipment produce market upheaval. Current rocket and missile technology encourage potential writers to submit their viewpoints as technical articles and review papers within the framework of this journal, which this issue does after the most current updates
A Low Profile Microstrip Patch Antenna using a Polygon-Shaped Patch for Wireless Applications.
Get PDFIn this paper. a low profile microstrip patch antenna is presented. The FR4 substrate is chosen for the dielectric substrate with a height of 1.6 mm. The presented antenna employs a polygon-shaped patch as the radiator for operating at 2.4 GHz. Co-axial feed is selected to excite the resented antenna to retain the low profile property of the antenna. The simulated results of the proposed antenna were analyzed and the structure of the proposed antenna was validated through fabrication results. The vector network analyzer is used to measure the real-time return loss property of the presented antenna
Consumer Brand Preferences in FMCG sector with special reference to Biscuits: A study in Delhi NCR, India
Get PDFBranding is very important pillar in the marketing as it motivates the consumer perceptiontowards the product. Marketers focus more on the consumer behavior to understand the image which is created in the consumers’ mind. FMCG, Fast Moving Consuming Goods which refers to those which we buy on regular or daily basis from local shops or department stores. These goods have lower value and higher turnover. Some major players in FMCG biscuits segment have been attracting the customers towards biscuits. Attracting the customers is not a big challenge for the companies but retaining them is a challenge.There are some brands which can retain customers successfully and results into strong repurchases by them. The present study focuses on the factors related to the consumer brand preferences to be converted into repurchases. Thestudy is an endeavor to describe the consumers brand preferences for biscuits. The aim of doing this study is to identify the consumer expectation towards a biscuit brand and to analyze the factors influencing the brand preferences. The research is exploratory and descriptive in nature and uses primary sources of data collection using well-structured questionnaire with a sample size of 100 respondents. The analysis of data has been done using statistical software and study uses regression model to arrive at the results. The research will help marketers to not only attract the customers towards the brand but also to retain them towards the brand for longer period of time.The study will also help the brands to create customer loyalty towards FMCG biscuits segment in the present competitive market
Operation Control and Analysis of a Hybrid AC/DC Microgrid
Get PDFDistributed renewable energy production is making smart microgrid concepts based on AC, DC, and hybrid-MG design more attractive (DRE). In light of the growing population and the pressing need to minimize the load, research into effective control techniques and architectural solutions is a hot topic right now. However, a comprehensive and coordinated literature assessment of hierarchical control approaches based on diverse configurations of the microgrid (MG) architecture has been explored relatively little in the past.\u27\u27 Primary, secondary, and tertiary methods to MG system control are outlined in this suggested method. Primary, secondary and third-tier techniques are examined for each MG structure in a short literature review. In addition, the paper offers the best and worst aspects of current control methods. In addition, a simulation research connected to the literature review\u27s future trends in MG control is offered as a further contribution to this subject. Since renewable energy supplies are intermittent in nature, a hybrid microgrid is needed to minimize overall deficit inadequacies and increase system dependability. This is due to the depletion of natural resources and to the intermittent nature of renewable energy resources. Using a hybrid microgrid, the present distributed and concentrated load situations may be accommodated. In order to better understand how the hybrid microgrid may be integrated, optimized and controlled, there is a growing demand for research. It is necessary to do a thorough evaluation of the performance, efficiency, dependability, security, design flexibility, and cost-effectiveness of a hybrid microgrid. Issues such as AC and DC microgrids integrating into a single hybrid microgrid are discussed in this paper, as well as how to manage renewable energy resources in a cost-effective manner and how to place the optimal number of feeders in a microgrid. There is a quick overview of the primary research fields, with the goal of finding the research gap that may further enhance the grid\u27s performance. \u27\u27New hybrid microgrid solutions are being offered in light of current study trends that have been determined to be the most effective and most-friendly. Research, comparative analysis, and further development of new methodologies related to hybrid microgrids will be aided by this study as the foundation for future wor
ANALYSIS OF TIME-DELAYED NON-LINEAR EQUATIONS USING HF FUNCTIONS
Get PDFThe paper deals with the analysis of non-linear time delayed differential equations solved using HF functions. The analysis is first performed on Mackey-Glass Equation, which is a standard model for quantitative characterization of chaotic dynamics. The procedure is then performed on a generalized Human respiratory control model, where for different simulation parameters the analysis of Cheyne-Stokes Breathing is done. Both models are simulated in MATLAB. The graphs thus generated are used to provide suitable conclusions
Solution of Fractional Order Differential Equation Problems by Triangular Functions for Biomedical Applications
Get PDFAbstract—Fractional Order Differential equations are used for modelling of a wide variety of biological systems but the solution process of such equations are quite complex. In this paper Orthogonal Triangular functions and their operational matrices have been used for finding an approximate solution of Fractional Order Differential Equations. This technique has been found to be more powerful in solving Fractional Order Differential Equations owing to the fact that the differential equations are reduced to systems of algebraic equations which are easy to solve numerically and the percentage error is lower compared to other methods of solutions (like: Laplace Transform Method). Also due to the recursive nature of this method, it can also be concluded that this method is less complex and more efficient in solving varieties of the Fractional Order Differential Equations
A Study on Awareness of Rural Population towards Financial Services (W.R.T Banking Services)
Get PDFIn present days there is a lot of development in rural areas in form of Infrastructures, sanitary, Education, health and financial service like banking services. Due to development schemes, introduced by Government of India and other financial institutions helps to improve Financial Inclusion in rural areas. Financial inclusion helps the rural population to adopt innovate financial services in Banking and insurance sectors. As in this research “The “Study on Awareness of Rural Population towards Financial services” is conducted in rural areas to analyse the awareness about financial services, Factors influencing rural population, Issues encountered in receiving financial services(Banking), satisfaction of rural customers towards financial services. It is conducted by collecting quantitative data from rural population. Data is completely related to financial services of banking sector. Data is collected for research in both methods i.e.: primary data and secondary data. Samples are collected from Population through Primary data. Primary data is collected from samples of population in the form of well- structured Questionnaire. Secondary Data is collected from Reference Books, Articles, Published research papers, etc. Sample is collected by using Random sampling method. Sample size is of 50 members which are selected from rural villagers. Analysis and interpretation of data collected is done with the help of Tables & Pie Diagrams. Statistical methods and techniques like Percentage, etc are used to analyse the data
Prof. Shi DONG
No full textProf. Shi DONG is a senior member of the China Computer Federation, IEEE member, a Distinguished Professor and vice president in the School of Computer Science and Technology with Zhoukou Normal University, reviewer of IEEE Transactions on Parallel and Distributed Systems (SCI journal); IEEE/ACM Transactions on Networking(SCI journal); IEEE ACCESS (SCI journal); Computer Networks(SCI journal); IEEE Transactions on Network Science and Engineering(SCI journal); IEEE Transactions on Industrial Informatics(SCI journal);IEEE Internet of Things Journal(SCI journal);Journal of Internet Technology (SCI journal); Computers & Electrical Engineering (SCI journal); KSII Transactions on Internet and Information Systems (SCI journal).https://www.interscience.in/mentors/1086/thumbnail.jp
Designing a Pipeline for Predicting Power Grid Stability with Artificial Neural Network (ANN)
Get PDFRenewable energy sources are becoming more popular, providing a much-needed alternative to traditional, limited, and climate-unfriendly energy sources. Wireless sensors, cloud computing, cyber security, and wide-area monitoring are basic communication and control technologies for smart grid applications. Design of communication and control architectures for the adoption of smart energy grids for rural loads and distributed energy, including energy storage solutions. In this work, a Machine Learning module called scikit-learn is used for pre-processing of labeled input data by using StandardScaler, KFold for cross-validation, and Confusion matrix for measuring performance. Also, the ML technique uses the binary classification method to divide the ‘stabf’ data into two parts as stable and unstable. Here deep learning-based Artificial Neural Network (ANN) has been used to evaluate the result and to predict new grid data to enhance stability. ANN takes 12 input nodes in the input layer and three hidden layers out of which two hidden layer takes 24 nodes and another one takes 12 nodes and an output layer consisting of a single node. Adam optimizer has been used for model compilation and loss function calculation ‘binary_crossentropy’ is used. Finally, after successful completion of the evaluation process, this model gives a test accuracy result of 98.33%
Recognition and Selection of Governance Modes of Private Listed Enterprises Based on BP Neural Network
Get PDFExploring the governance modes of private listed enterprises, this paper divides private listed enterprises into categories of small, medium and large. The governance modes of private listed enterprises can be divided into 9 categories according to two different management intensities of equity capital governance and manpower capital governance. The 9 categories of governance modes of private listed enterprises are identified by using the BP neural network mode. This paper analyses the evolution of private listed companies’ governance modes at different scales and analyses various governance modes. Therefore, small, medium and large private listed companies choose the “strong equity and weak manpower”, “moderate equity and moderate manpower” and “weak equity and moderate manpower” governance modes, respectively. This paper comparatively analyses the governance efficiency of governance modes at different scales. The results show that “moderate equity and moderate manpower” is the most effective management mode for all three scales