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    FACE RECOGNITION BY LINEAR DISCRIMINANT ANALYSIS

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    Linear Discriminant Analysis (LDA) has been successfully applied to face recognition which is based on a linear projection from the image space to a low dimensional space by maximizing the between class scatter and minimizing the within-class scatter. LDA allows objective evaluation of the significance of visual information in different features of the face for identifying the human face. The LDA also provides us with a small set of features that carry the most relevant information for classification purposes. LDA method overcomes the limitation of Principle Component Analysis method by applying the linear discriminant criterion. This criterion tries to maximize the ratio of determinant of the between-class scatter matrix of the projected samples to the determinant of the within-class scatter matrix of the projected samples. Linear discriminant groups the images of the same class and separate images of different classes. Here to identify an input test image, the projected test image is compared to each projected training, and the test image is identified as the closest training image. The experiments in this paper we present to use LDA for face recognition. The experiments in this paper are performed with the ORL face database. The experimental results show that the correct recognition rate of this method is higher than that of previous techniques

    AN INTELLIGENT OPTIMIZATION TECHNIQUE FOR MANET USING GENETIC ALGORITHM

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    In wireless communication, Mobile Ad Hoc network (MANET) is a group of mobile nodes that are dynamically and randomly located in such a way that the wireless link among nodes are often change due to MANET dynamic features. In this MANET environment, if a device wants to connect to Internet, it must establish a communication with an Internet Gateway. The performance of system is evaluated using simulation. In this paper we propose approximated solutions and new algorithm that helps in QoS routing which can be adaptive, flexible, and intelligent

    Dr. David Boohene

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    Dr. David Boohene Ph.D. (Development Economics) Co-Founder STEP-INAP CONSULT (A Training, Research and Placement Consulting Group) www.step-inapconsult.com Editorial Board Member International Journal of Research in Business Studies www.ijrbs.com Former Deputy Registrar (Admissions & Records) All Nations University, Ghana-West Africa www.anu.edu.gh Dr. David Boohene specializes in Development studies, Management, Research and Economics. He is presently a Chartered Economist, Lecturer and Management cum Organizational Development Consultant with vast Teaching and Corporate training experience. Dr. David Boohene got his first degree in Economics from the Kwame Nkrumah University of Science and Technology and went further to pursue his Masters and PhD studies in SRM University and Sam Higgin Bottom University of Agriculture Science and Technology respectively. Thus far, his working experience over the years has been related to teaching, mentoring and training mission. Dr. David Boohene’s passion is stirred from a noble desire to teach and lead with the aim of making positive impact in the lives of people. His training and mentorship programmes in the field of research, management and organizational development is unprecedented. For instance, Dr. Boohene was the lead coach that mentored the winning teamfor the 2019 National HR Focus Business Challenge organized by Focus Digital Africa in collaboration with Standard Chartered, Ghana. He has over fifteen refereed journal articles to his credit in the area of Human Capital Development, Finance, Economics, I.T and Management (https://www.researchgate.net/profile/David_Boohene?ev=hdr_xprf). Dr. David Boohenecurrently serves as a member of the Editorial board for the International Journal of Research in Business Studies (www.ijrbs.com). In the area of Teaching, Dr. David Boohene has taught varied courses in Management and Economics at universities in Ghana and India such as Project Management, Organizational Change, Organizational Development, Health Management and Nursing Administration, Occupational Health and Safety, International Human Resource Management, Agricultural Policy and Analysis, Agro-Industrial System Development, Engineering economics, Entrepreneurial economics, Microeconomics, Macroeconomics and Economy of Ghana. In the wake of the Global COVID 19 crises, Dr. David Boohene spearheaded a Global virtual mentoring campaign to advance leadership and capacity building solutions for both employees and employers by bringing resource persons from countries across the globe, namely; USA, Germany, Kenya, Australia, India and Ghana to speak on the following foci: Cybernetic marketing in today’s Business world.https://youtu.be/JvAe05PmuBA Global Recession: Best Business Practices.https://youtu.be/gFFJNTBtSh4 Business and Faith: Employer-Employee perspective.https://youtu.be/bHrUJM4tivY Harnessing SMART I.T in workforce capability.https://youtu.be/P3hVIbx5yeQ Providing right leadership in today’s world.https://youtu.be/6wfpsraPYEQ Planning: Meeting the prospects of today’s employee/employer.https://youtu.be/UzJ_aVd3t9E Health and Safety: A concern for ALL.https://youtu.be/r1x_j3cyUKU The 21st Century Business Enterprise: Bridging the Gap between the employer and the employee.https://youtu.be/-1Sd5cj8M3o Presently, Dr. David Boohene is a regular mentor for the Resilient Ghana Mentorship programme (https://www.resilientghana.com/) and has presented several topics namely; Nuts and Bolts of Budgeting I & II, Commincation Series (Presentation Skills, Email Etiquettes, Networking and Negotiating Skills etc.). The RESILIENT GHANA mentorship programme seeks to provide a platform to challenge and empower Ghanaian entrepreneurial youth to identify, create and present innovative solutions to real-life problems while creating lasting businesses. For professional correspondence or training engagements, Dr. David Boohene can be reached via: [email protected]://www.interscience.in/mentors/1087/thumbnail.jp

    Smart Water Management System

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    Water is one of the fundamental resources that aid life and there are speculations that estimate at 2025 almost half of the urban population will live under short supply and water stress. With the usage of new technological advancements in IoT (Internet of Things) powered smart devices for water management, it can become a worthy implementation towards avoiding the predicted water depletion. In the past years up until recently, water monitoring and management were manually carried out with intensive power requirements and high capital expense with low efficiency recorded. Overflow of water overhead tanks in residential, commercial, cooperate and educational settings, as well as broken pipes resulting in spillage, contribute to wastage at large. Regular reservoirs for water cannot monitor nor give analytics and automated water level detection in the tank. Vandalization or transmission blockages on distributions pipes may take so long to discover. The proposed model addresses problems mentioned above by the application of portable smart systems with interoperability and easily configurable to handle automated management of water supply with energy efficiency and a reduction in power cost in both homes and enterprise environment within smart cities as well as reduction of the rate of building degradation as a result of overflow from overhead tanks. Our model also integrates the application of Natural Language Processing for speech recognition as an alternate medium useful in operating the system

    Effect of T-tail on the Aerodynamic Characteristics and Static Stability of an Aircraft – A Computational Analysis

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    It is the purpose of this paper to find out the effect of T-tail on Aerodynamic characteristics and static stability of an aircraft. A T-tail aircraft with a configuration of tail with the horizontal stabilizer placed above the vertical stabilizer. Typically, a tail configuration in T shape. T- tail configuration is proposed with a goal of enhancing stability and controllability during high angle of attack and low speeds. Data is presented from a series of XFLR5 analysis to qualify the aerodynamic effect of T-tail over a range of angle of attack from -150 to +150. Various graphs were obtained during this analysis which indicates that the T-tail configuration can perform better at low speeds

    IoT in HEALTHCARE DOMAIN

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    In the current scenario, the Internet of Things (IoT) is an emerging technology. IoT is a new pattern that has changed the long-established way of living into a modernistic life style. IoT is the network of physical objects, which enables to collect data and exchange it without human intervention. In general, IoT has been established to interlink the latest healthcare resources and to provide smart and efficient healthcare facilities to the people. IoT allows objects to be sensed and controlled remotely across existing network infrastructure. Health maintenance has become a considerable socio-economic concern when it comes to health expenses, need and accessibility of resources, and individual care especially for aged people of the society. The central objective of this review article is to give a detailed idea on different trends and applications of smart healthcare as well as the common challenges in the execution are discussed

    Experimental and Computational Investigation of Divergent Thrust Losses In Rocket Nozzles

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    The nozzle is a critical component of any rocket engine because it transforms high pressure and high temperature (with sluggish net velocity) within the combustion chamber into high velocity but low pressure. Individually, the molecules in the mixed propellants have rapid velocity in the combustion chamber, but directions are randomly pointing in all directions. A convergent-divergent nozzle, also known as a CD nozzle, is fashioned like a tube with two bulging ends and a thin part in the center. This structure/design provides the nozzle with a balanced shape. By turning the flow\u27s heat energy into kinetic energy, the nozzle accelerates hot, pressured gas traveling past it in the axial (push) direction. Whereas the nozzle provides the acquired incremental thrust to the rocket engine, it also results in unwanted thrust losses. Out of which divergent losses in the divergent section are the primary foci of our research. Moreover, in this research paper, we produced verified results to reduce the thrust losses at the divergent sections of the nozzle by optimizing the nozzle with different half divergent angles

    Development of Medium Power High Efficiency Multi-Level Buck-Boost DC-DC Converter

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    Power DC/DC converters or regulators form the backbone of different portable electronic devices like cellular phones, laptops, portable electronic devices which are using batteries as their power supply. Portable devices usually comprise of several sub-circuits that should be supplied with different voltage levels, which are not the same as battery’s voltage level which is the main supply voltage. A new approach of buck-boost converter is presented in this paper, that automatically detects the zero-inductor current & compels the convertor to deliberately switch from Continuous Conduction Mode (CCM) to Discontinuous Conduction Mode (DCM), once the inductor current attempts towards negative values, restricting the inductor current to approach towards negative value, and thus enhancing the convertor\u27s performance and efficiency at low load conditions. The converter steps down 200 V input voltage to 187 V and steps up to 211 V simultaneously at 100 Ω load resistance using PSIM software at switching frequency of 100 KHz. The comprehensive analysis of the topology is carried out and the simulated results are compared with the earlier designs at variable loads to verify the performance of the converter

    Wireless Far-field Charging of Quadcopters: WPT System

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    In this study, wireless power transfer using a transmitting horn antenna and receiving module is designed and analyzed. The receiving module comprises transmitting (horn) and receiving antennas, rectifier, and power management unit. The receiving antenna is used at a frequency of 2.45 GHz which seems to be the most efficient one. The integrated system being low in weight is suitable to be placed on any system having a battery with recharging characteristics. The compact system is designed and simulated using CST STUDIO. The receiving module is used for the conversion of microwave power to DC power for the easy charging of a Quadcopter. Drones always carry a minimal amount of payload and hence require a low weight power receiving system. The integration of 3 by 4 antenna array with the power management circuit makes it of minimal weight which is effective for UAVs. The distance taken into consideration is from 1 to 6m which works in relation to the power transmitted. Far-field transfer is designed and calculated but the method of improving the efficiency to a greater distance is still a concern of research

    Modeling and Structural Analysis of Morphing Wing in UAVs

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    Morphing structure enables an aircraft to alter its configuration in maneuver to operate effectively in a given flight reign. A continuous wing is utilized to reduce drag as the wing deformation is approximated more closely. With such wing morphing of skin supported with underlying truss structure, they are able to control the unsteady aerodynamic forces. This project seeks to expand and unravel the capability of an aircraft through the application of a reconfigurable “morphing” wing. In this project, the structural model of the morphing wing consists of primarily wing components designed in solid works. Structural analysis of wing components has been written to minimize wing deformation under aerodynamic load using ANSYS. With fixed geometry, the wing is allowed to analyze Fluid Structure Interaction (FSI) in Fluent. Smart materials which carry aerodynamic loads such as shape memory alloys, piezoelectric actuators, and shape memory polymers have been discussed briefly. Along these lines, this paper fills in as an abstract for scientists and designers endeavoring to get to know the current progressions and advancements in morphing wing technolog

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