Review on Different Software Tools for Deep Learning

Deep Learning Applications are being applied in various domains in recent years. Training a deep learning model is a very time consuming task. But, many open source frameworks are available to simplify this task. In this review paper we have discussed the features of some popular open source software tools available for deep learning along with their advantages and disadvantages. Software tools discussed in this paper are Tensorflow, Keras, Pytorch, Microsoft Cognitive Toolkit (CNTK). Keywords: Deep Learning, Frameworks, Open Source, Tensorflow, Pytorch, Keras, CNTK

DEVELOPMENT OF A DISTRIBUTED INFORMATION AND COMPUTING CONTROL SYSTEM FOR THE NUCLEAR UNIT AT NOVOVORONEZH NPP

Ядерные блоки атомных электростанций имеют длительный срок эксплуатации, что приводит к ситуации, когда в процессе эксплуатации технические и программные средства систем управления перестают отвечать текущим современным требованиям в плане надежности и безопасности их использования. В результате для продления срока действия ядерного блока требуется обязательное проведение модернизации информационно-вычислительной системы (ИВС) управления. Приводятся результаты такой работы, проведенной на 4 блоке Нововоронежской АЭС. При выборе оборудования для создания новой ИВС модернизируемого энергоблока был реализован принцип унификации. Программное обеспечение всех компонентов программно-технического комплекса ИВС, включая функции систем предоставления параметров безопасности и внутриреакторного контроля, реализовано на единых программных средствах. Представленные значения параметров сигналов на всех рабочих станциях программно-технического комплекса информационной системы, интерфейсы взаимодействия, человеко-машинный интерфейс и навигация по видеокадрам идентичны, что учитывает требования по оптимальному взаимодействию системы «человек-машина». Система удовлетворяет требованиям по обеспечению надёжности на основе резервирования, независимости, разнообразия, с учётом отказов по общей причине. Для этого ИВС была реализована в виде двухканальной информационной системы. Основной и дублирующий каналы измерения и обработки данных в программно-техническом комплексе ИВС функционируют одновременно в полном объеме. Разработанная информационно-вычислительная система позволила продлить срок эксплуатации 4 энергоблока Нововоронежской АЭС на 15 лет Nuclear units of nuclear power plants have a long service life, which leads to a situation when, during the operation, the technical and software tools of control systems no longer meet the current modern requirements in terms of reliability and safety of their use. As a result, in order to extend the validity period of the nuclear unit, mandatory modernization of the information and computing system (ICS) of management is required. This article presents the results of such work carried out at Unit 4 of the Novovoronezh NPP. When choosing the equipment to create a new ICS of the upgraded power unit, we implemented the principle of unification. The software of all components of the ICS software and hardware complex, including the functions of systems for providing security parameters and in-reactor control, is implemented on unified software tools. The representation of signal parameter values at all workstations of the software and hardware complex of the information system, the interfaces of human-machine interface interaction and navigation through video frames are identical, which takes into account the requirements for optimal interaction of the man-machine system. The system meets the requirements for ensuring reliability based on redundancy, independence, diversity, taking into account failures for a common reason. For this purpose, we implemented the ICS in the form of a two-channel information system. The main and backup channels of measurement and data processing in the ICS software and hardware complex function simultaneously in full. The developed information and computing system made it possible to extend the service life of 4 power units of the Novovoronezh NPP for 15 years

BIM for Landscape Design Improving Climate Adaptation Planning: The Evaluation of Software Tools Based on the ISO 25010 Standard

This paper investigates the capabilities and limitations of different software tools simulating landscape design adaptability. The evaluation of tools is based on the ISO 25010 framework, which investigates software functionality, reliability, performance efficiency, usability, compatibility, and information quality. These quality characteristics of software are analysed during objective experiments where five software tools are used for a case study project at the conceptual design phase. These experiments reveal that the existing software tools for climate adaptation planning are focused on different aspects of climate adaptability, generating different types of information. Moreover, all tools deal with some limitations in terms of compatibility, performance efficiency, and functional operations. The ISO 25010 quality model provides a comprehensive framework to compare the capabilities of different software tools for climate adaptation planning. This paper is part of a wider study including an analysis of the needs of project stakeholders regarding climate adaptation software tools. However, this article focuses on technical capabilities of current climate adaptation software tools.

Configuring methods for deadlock-free routing

This paper discusses the problem of tracking of deadlock-free routes. A brief overview of existing software tools providing this functionality is given. A complete overview of the proposed software for building routes for given SpaceWire onboard networks is presented. The paper discusses the application of different existing methods for the choosing of the best route from the list of the deadlock-free routes. A brief overview of the methods for of choosing the best route according to the provided criteria is given. A new method for choosing of the best route and its modification is proposed. Authors provide the result of the methods application and the detailed comparison.

Hybrid Renewable Energy Systems’ Optimisation. A Review and Extended Comparison of the Most-Used Software Tools

To help stakeholders plan, research, and develop Hybrid Renewable Energy Systems (HRES), the elaboration of numerous modelling techniques and software simulation tools has been reported. The thorough analysis of these undoubtedly complex systems is strongly correlated with the efficient utilisation of the potential of renewable energy and the meticulous development of pertinent designs. In this context, various optimisation constraints/targets have also been utilised. This specific work initially carries out a thorough review of the modelling techniques and simulation software developed in an attempt to define a commonly accepted categorisation methodology for the various existing HRES simulation methods. Moreover, the widely utilised optimisation targets are analysed in detail. Finally, it identifies the sensitivity of two commercial software tools (HOMER Pro and iHOGA) by examining nine case studies based on different wind and solar potential combinations. The results obtained by the two commercial tools are compared with the ESA Microgrid Simulator, a software developed by the Soft Energy Applications and Environmental Protection Laboratory of the Mechanical Engineering Department of the University of West Attica. The evaluation of the results, based on the diversification of the renewable energy potential used as input, has led to an in-depth assessment of the deviances detected in the software tools selected.