Expert system decision support for low-cost launch vehicle operations

Progress in assessing the feasibility, benefits, and risks associated with AI expert systems applied to low cost expendable launch vehicle systems is described. Part one identified potential application areas in vehicle operations and on-board functions, assessed measures of cost benefit, and identified key technologies to aid in the implementation of decision support systems in this environment. Part two of the program began the development of prototypes to demonstrate real-time vehicle checkout with controller and diagnostic/analysis intelligent systems and to gather true measures of cost savings vs. conventional software, verification and validation requirements, and maintainability improvement. The main objective of the expert advanced development projects was to provide a robust intelligent system for control/analysis that must be performed within a specified real-time window in order to meet the demands of the given application. The efforts to develop the two prototypes are described. Prime emphasis was on a controller expert system to show real-time performance in a cryogenic propellant loading application and safety validation implementation of this system experimentally, using commercial-off-the-shelf software tools and object oriented programming techniques. This smart ground support equipment prototype is based in C with imbedded expert system rules written in the CLIPS protocol. The relational database, ORACLE, provides non-real-time data support. The second demonstration develops the vehicle/ground intelligent automation concept, from phase one, to show cooperation between multiple expert systems. This automated test conductor (ATC) prototype utilizes a knowledge-bus approach for intelligent information processing by use of virtual sensors and blackboards to solve complex problems. It incorporates distributed processing of real-time data and object-oriented techniques for command, configuration control, and auto-code generation

Climate data analysis and visualization information system

У роботі проводиться аналіз наукових досліджень та існуючих програм для аналізу та візуалізації кліматичних даних, в результаті чого доведено актуальність та новизну дослідницької роботи. Для методів обрані програмні засоби для розробки та планування архітектури додатків клієнт-сервер, методи аналізу та узагальнення MS SQL Server для створення баз даних, C # та JavaScript (стандарт ECMAScript 6) та ReactJS v.16.12.0. аналізу та узагальнення для клієнта для програми. Експериментально обґрунтовано застосування об’єктно-орієнтованого підходу для проектування та розробки клієнтської частини програми. Була спланована та створена комп’ютерна система для аналізу та візуалізації даних; наукова новизна дослідження була доведена експериментом та узагальненням. Зокрема, розроблений додаток містить логічні операції з аналізу історичних кліматичних показників у клієнтській частині, що прискорило процес візуалізації інформації для користувача.In the bachelors thesis the analysis of scientific researches and existing programs for the analysis and visualization of climatic data is carried out as a result of which urgency and novelty of research work has been proved. Software tools for development and planning of client-server application architecture, methods of analysis and generalization of MS SQL Server for database creation, C # and JavaScript (ECMAScript 6 standard) and ReactJS v.16.12.0 framework based on it are chosen for methods of analysis and generalization for the client for the application. The application of object-oriented approach for the design and development of the client part of the program is experimentally substantiated. A computer system for data analysis and visualization was planned and created; the scientific novelty of the research was proved by experiment and generalization. In particular, the developed application features logical operations on analysis of historical climatic indicators in the client part, which accelerated the process of information visualization for the user.INTRODUCTION 8 1. CLIMATOLOGY, METEOROLOGY AND EXISTING SYSTEMS FOR DATA ANALYSIS AND VISUALIZATION 11 1.1. CLIMATOLOGY AND METEOROLOGY AND THEIR RESEARCHERS. 11 1.2 TYPES OF CLIMATIC INDICATORS WITH THEIR CALCULATION 14 1.3 THE GENERAL REVIEW OF EXISTING SYSTEMS FOR ANALYZING AND VISUALIZING OF CLIMATE DATA 23 1.4 CONCLUSIONS TO THE SECTION 30 2 SELECTION OF SOFTWARE AND DEVELOPMENT OF THE SERVER PART 31 2.1. JAVASCRIPT PROGRAMMING LANGUAGE AND REACT FRAMEWORK 31 2.2. MARKUP LANGUAGES AND HTML / CSS 35 2.3. C # PROGRAMMING LANGUAGE 36 2.4. DEVELOPMENT OF THE SERVER PART AND CREATION OF A DATABASE FOR THE PROGRAM 38 2.5 CONCLUSIONS TO THE SECTION 44 3 DEVELOPMENT OF THE CLIENT PART OF THE SYSTEM OF ANALYSIS AND VISUALIZATION OF CLIMATE DATA 46 3.1 CREATE CLIENT PART FORM 46 3.2. CONNECT APEXCHARTS AND CREATE CHARTS TO VISUALIZE DATA 58 4 LIFE SAFETY 67 4.1 GENERAL CHARACTERISTICS OF THE ROOM AND WORKPLACE 67 4.2 ANALYSIS OF POTENTIALLY DANGEROUS AND HARMFUL PRODUCTION FACTORS IN THE WORKPLACE 70 4.3 CONCLUSIONS TO THE SECTION 71 CONCLUSIONS 73 REFERENCES 7

Development of the expert system prototype "medexpert" for differential disease diagnostics

The task of this article is creation a prototype of expert system "MEDExpert" which will help to doctors in the analysis of collected data about the patient and the diagnosis. The article describes the "MEDExpert" system, intended for informational support of medical solutions in medicine using modern information technologies, in particular, image recognition methods. The system uses a general decision-making technique using a differential series and the analogy method. The main problems of the field of creating medical expert systems were analyzed, and with their help the practical principle of the program part of the system was obtained. An integrated approach was proposed to analyze the data and obtain the necessary information for detecting the disease. The Visual Studio 2015 development environment and C #programming language, as well as a set of Windows Forms graphical tools and the Microsoft SQL Server 2015 database management system implemented the prototype. Computer technology intended for the classification, diagnosis, assessment of the state, analysis of the interaction of regulatory and therapeutic processes, selection, evaluation and correction of therapeutic measures. "MEDExpert" can be used for training specialists

A Framework for XML-based Integration of Data, Visualization and Analysis in a Biomedical Domain

Biomedical data are becoming increasingly complex and heterogeneous in nature. The data are stored in distributed information systems, using a variety of data models, and are processed by increasingly more complex tools that analyze and visualize them. We present in this paper our framework for integrating biomedical research data and tools into a unique Web front end. Our framework is applied to the University of Washington’s Human Brain Project. Specifically, we present solutions to four integration tasks: definition of complex mappings from relational sources to XML, distributed XQuery processing, generation of heterogeneous output formats, and the integration of heterogeneous data visualization and analysis tools