Knowledge Retrieval

Robots are man made machines which are used to accomplish the tasks. Robots are mainly used to do complex tasks and work in hazardous environment where humans are difficult to work. They are not only designed to use in hazardous environment but also in the environment where humans are performing the same task repeatedly. These are also used for cooking purpose some tasks can be completed with the interaction of both the human and robot one of such things is cooking where human should help robot in making dishes. This paper mainly focusses on Functional Object Oriented Network which is structured knowledge representation using the input output and motion nodes. Task tress are generated using the task tree FOON is produced and collections of all FOONS forms the universal FOON. Different algorithms to traverse the tree in order to get the best output are also discussed in this paper. The desired node or goal node can be achieved from the start node using the different search algorithms and comparison between them is discussed.Comment: 5 pages, 5 figure

WIFI BASED INDOOR POSITIONING - A MACHINE LEARNING APPROACH

Navigation has become much easier these days mainly due to advancement in satellite technology. The current navigation systems provide better positioning accuracy but are limited to outdoors. When it comes to the indoor spaces such as airports, shopping malls, hospitals or office buildings, to name a few, it will be challenging to get good positioning accuracy with satellite signals due to thick walls and roofs as obstacles. This gap led to a whole new area of research in the field of indoor positioning. Many researches have been conducting experiments on different technologies and successful outcomes have beenseen. Each technology providing indoor positioning capability has its own limitations. In this thesis, different radio frequency (RF) and non-radio frequency (Non-RF) technologies are discussed but focus is set on Wi-Fi for indoor positioning. A demo indoor positioning app is developed for the Technobothnia building at the University of Vaasa premises. This building is already equipped with Wi-Fi infrastructure. A floor plan of the building, radio maps and a fingerprinting database with Wi-Fi signal strength measurements is created with help of tools from HERE technology. The app provides real-time positioning and routing as a future visitor tool. With the exceeding amounts of available data, one of the highly popular fields is applying Machine Learning (ML) to data. It can be applied in many disciplines from medicine to space. In ML, algorithms learn from the data and make predictions. Due to the significant growth in various sensor technologies and computational power, large amounts of data can be stored and processed. Here, the ML approach is also taken to the indoor positioning challenge. An open-source Wi-Fi fingerprinting dataset is obtained from Tampere University and ML algorithms are applied on it for performing indoor positioning. Algorithms are trained with received signal strength (RSS) values with their respective reference coordinates and the user location can be predicted. The thesis provides a performance analysis of different algorithms suitable for future mobile implementations

INTEGRATING ARCGIS AND REDUX USING MIDDLEWARE

The integration of ArcGIS with Redux through middleware presents a novel approach to managing state in geospatial applications. This report outlines the process and benefits of combining ArcGIS’s robust mapping and analytics capabilities with Redux’s predictable state container for JavaScript apps. It begins with an introduction to both technologies, followed by a detailed discussion on the architecture design, focusing on the role of middleware as the linchpin in this integration[1]. The paper highlights the benefits, such as improved state management and application performance, and addresses the challenges encountered during the integration process. Implementation details are provided, including the setup of the Redux store and the specific middleware used for ArcGIS integration. The paper concludes with a look at potential future enhancements, emphasizing the scalability and maintainability of this integration method. This Report serves as a guide for developers seeking to enhance their geospatial applications with advanced state management techniques

CONTENT-BASED IMAGE RETRIEVAL-SKETCH FOR MATCH

The content based image retrieval (CBIR) is one of the most popular, rising research areas of the digital image pro-cessing. Most of the available image search tools, such as Google Images and Yahoo! Image search, are based on textual annotation of images. In these tools images are manually annotated with keywords and then retrieved using text-based search methods. The performances of these systems are not satisfactory. The goal of CBIR is to extract visual content of an image automatically, like color, texture, or shape. This paper aims to introduce the problems and challenges concerned with the design and the creation of CBIR systems, which is based on a free hand sketch (Sketch based image retrieval – SBIR). The used descriptor is constructed after such special sequence of pre-processing steps that the transformed full color image and the sketch can be compared. We have studied EHD, HOG and SIFT. Experimental results on two sample databases showed good results. Overall, the results show that the sketch based system allows users an intuitive access to search-tools. The SBIR technology can be used in several applications such as digital libraries, crime prevention, photo sharing sites. Such a system has great value in apprehending suspects and identifying victims in forensics and law enforcement. A possible application is matching a forensic sketch to a gallery of mug shot images. The area of retrieve images based on the visual content of the query picture intense recently, which demands on the quite wide methodology spectrum on the area of the image processing

Design of experimental apparatus for generation and measurement of an aerosol

Dr. Jacob A. McFarland, Thesis Supervisor.This work is done as a requirement for the master's degree. In this work, a system for generating aerosol delivery into shock tube for interface creation and a method to measure aerosol is developed. In chapter 1, a brief introduction of hydrodynamic instabilities later focussing on shock driven multiphase instabilities (SDMI) and its importance is presented. SDMIs have similar flow morphology to the Richtmeyer-Meshkov Instability (RMI), however, the driving force that induces instability is different. Current methods of aerosol production and measurement with pros and cons are given to justify the adaption of the selected method for our system. Chapter 2 discusses about the theory of ultrasonic atomization and evidence of faraday instability for atomization. Later setup of aerosol delivery system with two different set of atomizers is presented. In chapter 3, Laser interferometry principle and apparatus used for the measurement of aerosol with the consideration of various factors is given. To avoid Mie scattering theory's intense use of calculations Geometrical optics approximation method is used which agrees well with the Mie theory for all the particles above 1µm. Chapter 4 presents experimental results of measurement which includes particle size distribution, density measurement of aerosol. Later it presents the experimental results when the aerosol is used for the study of SDMI. Two different cases, one with the low effective Atwood number and the other with higher effective Atwood number are investigated. In the case of low effective Atwood number the instability evolved is more like RMI rather than SDMI which is due to domination of Gas Atwood number over effect Atwood number. Last case with higher effective Atwood number of 0.03 with shock wave of Mach 1.66 is investigated, to find out that flow morphologies are in good agreement with literature and simulations. Chapter 5 gives conclusion of the research studies and future research.Dr. Jacob A. McFarland, Thesis Supervisor.Includes bibliographical references (pages 49-55)

GC-380 DineNGo Application

This project aims to upgrade the DineNGo application, a software tool for restaurant management, with new features specified by the client, The Driven Software Solutions. The upgraded version includes enhancements to users\u27 roles, such as implementing Role-Based Access Control (RBAC), and adding a payment required feature before order placement. Additionally, the new features aim to improve payment processing, reduce trips back and forth to the POS terminal, and provide a secure payment experience for customers. This document provides an overview of the project\u27s scope, objectives, and system overview, along with the operational policies and constraints

Security for Java Applets

This paper provides access to information related to Java security. We have customized this information for different types of Java users. This paper also deals with how do I control when an untrusted applet or application runs in my web browser? Oracle is committed to understanding and responding to your Java security. This also deals with the browser that can interpret Java byte code (such as Netscape Navigator or Internet Explorer) can download and locally execute applets that are embedded in a Web page. It is extremely unlikely that all users of Java enabled browsers will consider the security implications of surfing a site before each Web page access. If the mobile code paradigm is going to work, security concerns should be addressed in the language of the content itself

A comprehensive database on air plasma kinetics

The kinetic models described in this thesis are of great importance because they can be used to understand the chemical phenomena induced by electrical discharges in air. Experimental data obtained by the research group in the Physics Department of the University Milano Bicocca are compared with the numerical results. The study highlighted how the initial ozone formation is inhibited and cancelled by nitrogen oxidation processes. In this thesis, a comprehensive database on Air Plasma Kinetic reactions with rate coefficients is presented. The database were built from Park Model and Sakiyama Model. In both models, the references to rate coefficients vary from the real material, and not all the rate coefficients satisfy the references. The database built is made ready for implementation on ZDPlasKin software