This paper's aim is to design and implement a tool transforming REST Web APIs into APIs which facilitate the integration process. The improvement of integration is mainly divided into two parts: The embedding of semantic data in order to establish a common understanding of objects, properties and relations and the possibility to navigate through the API structure in an easy and automated way. The theoretical part is dealing with the fundamentals of Web APIs, today's related trends and the API's shortages and points of improvement. Another objective of this paper is to compare current data standards of output formats for so called Hypermedia APIs, whereas the most suitable components will be chosen as the output format of this paper's resulting tool. The practical part is dealing with the design and implementation of the tool being developed. Included, there is the description of test scenarios, related benefits for the tool's users as well as a final evaluation of the resulting tool and a discussion of the tool's future potential. The benefits of the tool are evaluated in a case study.

abstract: As the complexity of robotic systems and applications grows rapidly, development of high-performance, easy to use, and fully integrated development environments for those systems is inevitable. Model-Based Design (MBD) of dynamic systems using engineering software such as Simulink® from MathWorks®, SciCos from Metalau team and SystemModeler® from Wolfram® is quite popular nowadays. They provide tools for modeling, simulation, verification and in some cases automatic code generation for desktop applications, embedded systems and robots. For real-world implementation of models on the actual hardware, those models should be converted into compilable machine code either manually or automatically. Due to the complexity of robotic systems, manual code translation from model to code is not a feasible optimal solution so we need to move towards automated code generation for such systems. MathWorks® offers code generation facilities called Coder® products for this purpose. However in order to fully exploit the power of model-based design and code generation tools for robotic applications, we need to enhance those software systems by adding and modifying toolboxes, files and other artifacts as well as developing guidelines and procedures. In this thesis, an effort has been made to propose a guideline as well as a Simulink® library, StateFlow® interface API and a C/C++ interface API to complete this toolchain for NAO humanoid robots. Thus the model of the hierarchical control architecture can be easily and properly converted to code and built for implementation. / Dissertation/Thesis / M.S. Computer Science 2013

The object of the study is the 1C system and the processes associated with its use and optimization. The purpose of the work is to develop and implement a mobile application for optimizing work processes in the 1C system using machine learning technologies. The research methods include analyzing the current state of the system, designing the application architecture, integrating with the existing system, as well as training and implementing machine learning models. Results of the work and their novelty: during the work, a mobile application with an optimized user interface and improved performance was developed. Machine learning models were implemented to predict and automate some processes. The novelty lies in the integrated approach to optimizing the 1C system using modern technologies and methods. Scope of application of results: The developed mobile application can be used in various organizations using the 1C system for automation of accounting and management accounting. This can increase the efficiency and ease of use of the system. Recommendations for implementation or results of implementation of the results of research work: it is recommended to gradually implement the mobile application in the work processes of the organization, taking into account the specifics of its activities. The results of the implementation show a significant improvement in the productivity and ease of use of the 1C system. Economic efficiency or significance of the work: Implementation of the mobile application allows you to reduce the time spent on routine operations and improve the accuracy of forecasting, which in turn leads to a decrease in operating costs and an increase in the overall efficiency of the organization. Forecast assumptions on the development of the research object: In the future, it is possible to expand the functionality of the mobile application, including new modules and integrations, as well as further improve machine learning models for more accurate forecasting and automation of processes. / Объектом исследования является система 1С и процессы, связанные с её использованием и оптимизацией. Цель работы — разработка и внедрение мобильного приложения для оптимизации рабочих процессов в системе 1С с применением технологий машинного обучения. Методы исследования включают анализ текущего состояния системы, проектирование архитектуры приложения, интеграцию с существующей системой, а также обучение и внедрение моделей машинного обучения. Результаты работы и их новизна: в ходе работы было разработано мобильное приложение с оптимизированным пользовательским интерфейсом и улучшенной производительностью. Внедрены модели машинного обучения для прогнозирования и автоматизации некоторых процессов. Новизна заключается в комплексном подходе к оптимизации системы 1С с использованием современных технологий и методов. Область применения результатов: Разработанное мобильное приложение может быть использовано в различных организациях, использующих систему 1С для автоматизации бухгалтерского и управленческого учета. Это может повысить эффективность и удобство пользования системой. Рекомендации по внедрению или итоги внедрения результатов научно-исследовательской работы: рекомендуется поэтапное внедрение мобильного приложения в рабочие процессы организации с учетом специфики её деятельности. Итоги внедрения показывают значительное улучшение производительности и удобства использования системы 1С. Экономическая эффективность или значимость работы: Внедрение мобильного приложения позволяет сократить затраты времени на выполнение рутинных операций и улучшить точность прогнозирования, что в свою очередь приводит к снижению операционных расходов и повышению общей эффективности работы организации. Прогнозные предположения о развитии объекта исследования: В будущем возможно расширение функционала мобильного приложения, включая новые модули и интеграции, а также дальнейшее улучшение моделей машинного обучения для более точного прогнозирования и автоматизации процессов.