Interscience Research Network
Not a member yet
    2523 research outputs found

    COLOR IMAGE QUANTIZATION USING GDBSCAN

    Get PDF
    Color image quantization is the most widely used techniques in the field of image compression. DBSCAN is a density based data clustering technique. However DBSCAN is widely used for data clustering but not very popular for color image quantization due to some of issues associated with it. One of the problems associated with DBSCAN is that it becomes expensive when used on whole image data and also the noise points been unmapped. In this paper we are proposing a new color image quantization scheme which overcomes these problems. Our proposed algorithm is GDBSCAN (Grid Based DBSCAN) where we first decompose the image data in grids and then apply DBSCAN algorithm on each grid

    Factor Analysis of Speech Signal for Parkinson’s Disease Prediction using Support Vector Machine

    Get PDF
    Abstract—Speech signal can be used as marker for identification of Parkinson’s disease. It is neurological disorder which is progressive in nature mainly effect the people in old age. Identification of relevant discriminant features from speech signal has been a challenge in this area. In this paper, factor analysis method is used to select distinguishing features from a set of features. These selected features are more effective for detection of the PD. From an empirical study on existing dataset and a generated dataset, it was found that the jitter, shimmer variants and noise to harmonic ratio are dominant features in detecting PD. Further, these features are employed in support vector machine for classifying PD from healthy subjects. This method provides an average accuracy of 85 % with sensitivity and specificity of about 86% and 84%. Important outcome of this study is that sustained vowels phonation captures distinguishing information for analysis and detection of PD

    XFOIL analysis on low reynolds number airfoil

    Get PDF
    The range of low Reynolds number airfoil is between 104 to 105.In this study the investigated airfoil is NACA2414.The aerodynamic performance of low Reynolds airfoil is less than 105 is important for various applications such as unmanned air vehicles, Micro air vehicles and low-speed/high altitude aircrafts. In general, the lift and drag characteristics of most of the airfoils cannot be assumed constant having Reynolds number less than 106. XFLR5 is an analysis tool for airfoils, wings and planes operating at low Reynolds numbers. It includes XFOIL’S direct and inverse analysis capabilities. Wing design and analysis capabilities based on the lifting line theory, on the vortex lattice method, and on 3-D panel method. The pressure distribution (cP)and lift coefficient (cL) are important parameters that characterize behavior of the airfoils. Pressure distribution information is the foundation of aerodynamic analysis during aircraft development

    DESIGN OF A CANARD-WING UAV

    Get PDF
    In this project, we intend to design a Canard wing-based Unmanned Aerial Vehicle (UAV), which can carry a wide range of missions, providing capabilities to handle our challenges with sophisticated care. Canard-based UAV is the latest trend in aviation technology designed for the use case of providing better maneuverability, which in result gives the UAV new capabilities, such as increased time for data gathering, transferring, and autonomous behavior. The basic disciplines like Aerodynamics, Engineering design, Flight dynamics, Propulsion, and Performance are carried out during the UAV designing process. The proposed methodology applied in this project is weight estimation, initial sizing, aerofoil and wing geometry, fuselage sizing, tail sizing, T/W ratio, aerodynamics, and performance analysis. The design of Canard Based UAV leads to a deeper understanding of the trade-off studies of the UAV and is demonstrated by optimizing for designed missions like surveillance. A drafted sketch is presented at the end of the design phase featuring the selected configurations of major components

    Effect of Twin Vertical Stabilizers on Lateral Directional Static Stability of an Aircraft – A Computational Study

    Get PDF
    The advantages of twin vertical Stabilizers over a single vertical Stabilizer of an aero plane are the rationale for this study. For conventional aero planes, the use of double vertical Stabilizers is being considered. The contribution to lateral stability has been examined for this application. XFLR5 software was used to conduct the overall analysis. The analysis was conducted for a single vertical Stabilizer as well as twin vertical Stabilizers, and the findings were compiled and correlated. It is critical to be able to fully explain and evaluate the stability and control parameters. It is crucial to understand the relationship between the aerodynamics of the airframe and its stability characteristics in order to increase flight endurance and deployment effectiveness. The stability analysis based on the dynamic model of the twin boom vertical Stabilizer is presented in this paper. The lateral-directional stability of an aero plane with a single vertical tail is determined to be 20% more efficient than that with twin boom vertical Stabilizers. The trim condition is moderately satisfied by an aircraft with twin vertical Stabilizers

    Dr. Wang Yue

    No full text
    Dr. Wang is an Associate Professor in the Department of Supply Chain and Information Management and the Associate Director of Policy Research Institute of Supply Chain of the Hang Seng University of Hong Kong. He received the Bachelor of Science and Master of Engineering degrees from Peking University, Beijing, China, and the PhD degree from the Hong Kong University of Science and Technology (HKUST). He previously worked in MIT Media Lab as a Research Assistant, and HKUST as Research Associate/Research Assistant Professor. His research interest includes machine learning, natural language processing and their applications in industrial engineering, healthcare management and operations management. He has published a number of articles in international refereed journals, such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Engineering Management, International Journal of Production Economics, International Journal of Production Research etc.https://www.interscience.in/mentors/1083/thumbnail.jp

    DEVELOPMENT OF SCADA LIKE APPLICATION USING ARDUINO WITH .NET INTERFACE

    Get PDF
    Nowadays SCADA systems are used for Home automation, Greenhouse automation, E-agriculture etc. Basically these SCADA applications include Level Monitoring, Light & Climate Control, Security & Surveillance, control and manage spatially separated utility sites and Control of Shutters & Doors and so on. With the arrival of new hardware and software technologies here a system is proposed which can perform the similar SCADA applications at lower cost and lower maintenances. This paper proposes a viable solution for SCADA like applications which include Water level monitoring, Oil level monitoring & Displacement control by using a microcontroller board and .NET interfacing. This system can not only perform these industrial applications but also proposes fine web based solution to access all these acquired data and equipments. Here a remote based application is used which will allow the user to access the data/equipments in industries via internet, it also overcome the problem of weak encryption used by the SCADA. In future this system using .NET platform may replace these SCADA solutions

    “FAME”: FSPYING & SOLVING FIREWALL ANOMALIES

    Get PDF

    Ensemble Models for Intrusion Detection System Classification

    Get PDF
    Using data analytics in the problem of Intrusion Detection and Prevention Systems (IDS/IPS) is a continuous research problem due to the evolutionary nature of the problem and the changes in major influencing factors. The main challenges in this area are designing rules that can predict malware in unknown territories and dealing with the complexity of the problem and the conflicting requirements regarding high accuracy of detection and high efficiency. In this scope, we evaluated the usage of state-of-the-art ensemble learning models in improving the performance and efficiency of IDS/IPS. We compared our approaches with other existing approaches using popular open-source datasets available in this area

    A Cost-Effective Method for Design Installation and Maintenance of Solar Photovoltaic Power Generation System to Meet the Household Energy Requirement

    Get PDF
    Solar Photovoltaic (SPV) power generation system is becoming a popular and alternative technology to full fill the requirement of household electric power. The operation and maintenance cost of a typical SPV power generation system is too low at the household level, whereas the initial investment or installation cost of such systems is comparatively too high. Although the SPV power generation system uses free and renewable energy to generate eco-friendly electricity, due to the high initial investment, slow response of service assistance for technical support during the system failure, maintenance, troubleshooting, lack of basic troubleshooting and maintenance knowledge of the end-users are some of the primary reasons for reducing the popularity and faith on SPV power generation technology in the household level. In this paper, an elaborate explanation of design, installation, commissioning, maintenance, and troubleshooting methods have been briefly described to set up an indigenous and cost-effective solar photovoltaic power generation system to meet the electricity demand for basic household requirements with an individual effort

    2,377

    full texts

    2,523

    metadata records
    Updated in last 30 days.
    Interscience Research Network
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇