This paper presents the comparison of the capabilities of two algorithms for Sentiment Analysis developed in Python. Both Python programs are used on the same Yelp dataset with customer reviews of the quality of the services in USA restaurants. The programs are based on open-source software frameworks and libraries as Python, NTLK, Scikit-Learn, Panda, etc. which are oriented to Machine and Learning and Natural Language Processing. The evaluation of the programs is based on precision of the predicted results and the compactness of the programming code. For model training and prediction, the Multinomial Naïve Bayes and Support Vectors Machines classifiers are applied in both algorithms.
Journal section: TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”
The strategic initiative Industry 4.0 implies integration of Cyber-Physical Systems (CPS), Internet of Things (IoT) and cloud computing, leading to what is called “smart factory”. The lack of theoretical foundation and methodologies creates barriers that may hamper the adoption, commercialization, and market success of the new CPS applications. The reference frameworks and architectures support the analysis and specification of domains, and facilitates the unification of methods used by various disciplines such as industrial engineering, control theory, communication and information technology, thus making possible their combined use. The paper presents an analysis of the benefits and use of reference frameworks and architectures in the development of CPS. Standardized meta-models of reference frameworks and architectures are presented. Particular attention is paid to the NIST reference framework and architecture of CPS, with a view to establishing a methodology for development of Cyber-Physical Production Systems.
Technological developments are fast and at industry level we have fourth industrial revolution going on. More and more new
technologies are being applied to production to make it more efficient and more competitive. In order for new technologies to be better implemented and for the end user to be able to apply them to their industry, it is necessary for educational institutions to accompany the rapid development of technology and apply these new technologies in curricula.
Industry 4.0 brings new challenges for the quantitative methods for the evaluation of system dependability properties such as reliability and safety. In this paper, we recall relevant Industry 4.0 and dependability concepts and provide an overview of available reliability and safety metrics and evaluation methods including event trees, fault trees, reliability block diagrams, and more sophisticated dynamic methods based on Markov chain models. The special focus is on the model-based application of these methods. The paper discusses several common MBSE paradigms, such as UML/SysML, AADL, and Simulink, that can be employed in the context of Industry 4.0 and allow automated generation of the dependability evaluation models. Finally, we discuss how the Industry 4.0 increases system complexity, justify what kind of dependability evaluation methods are required, and what limitations we still need to overcome.
Cognitive styles affecting the performance of research and development (R&D) employees in the era of Industry 4.0pg(s) 203-205
Cognitive style is how people think, based on certain attitudes, perceptions and personality orientations. Cognitive styles are considered as basic elements for successful performance. Cognitive style is thought to predict performance in two ways: by allowing employees to quickly learn job-related knowledge and by processing information resulting in better decision making. But cognitive styles have received much less attention than they deserve, given their importance to employee’s functioning. The relationship between cognitive style and performance is not completely understood in scientific research. In this context, the thinking styles and performances of people working in Research and Development (R & D) departments such as other work places are determined by these cognitive styles, and it is important to research this in the era of Industry 4.0.
Since safe transportation is one of the biggest concerns of vehicle manufactures, occupant safety in vehicle accidents becomes a great challenge.
The severity of the crash reflects the energy absorption of the car’s structure during the accident and also has a close relationship with the amount of energy absorbed by the restraint system. Among components involved in restraint system, airbags are the most complex ones. The simulation and modelling of this system due to the nonlinear behaviour of the passenger and the vehicle add more complexity to its design and fabrication. Airbag system, which is a subsystem of the restraint system, is very important due to the nature of its multi-physical problem and the direct connection with passenger safety.
Therefore, in this paper, different approaches to develop airbag dynamics equations has been reviewed. Further a fast design and simulation method for airbag parameters in the concept design phase by an impact problem has been investigated to contribute to a comprehension of the relation between occupants and airbags.
The way of presenting information on the Web has always been a serious challenge. In some areas, such as politics, journalism, education, this can be crucial for its proper understanding and interpretation. This article presents a list of some empirically selected by the author contemporary tools for presenting information on the Web.
The paper deals with implementation of artificial intelligence method for diagnostics of technological machines. The deep learning as a method of AI seems to be a very good candidate for solving complex problem of technical diagnostics. The method is now implemented for diagnostics for concrete production enterprise.
Global trends on the key technical and economic indicators in development of multiple-spindle automatic machines (MSAMs) with various control systems and the hybrid MSAMs with consecutive reduction and complete elimination of mechanical kinematic chains, developed with the use of electromechanical structures (EM-structures) in I. Sikorsky KPI, are given in this paper. Genetic synthesis of MSAM EM-structures by the defined search function using genetic synthesis models and genetic operators of crossing, replication and a mutation have been made here.
The cloud computing environments are cost and productivity efficient, they are quickly replacing the traditional centralized systems. These “clouds” inherit a lot of security concerns of the older systems, but also bring the new ones. This paper examines 3 most popular cloud vulnerabilities, as well as a vulnerability intrinsic to the cloud environments. It proposes solutions and classifies the risks.
A SOLID BODY SURFACING MATHEMATICAL MODEL IN STRATIFIED INCOMPRESSIBLE FLUID UNDER THE ACTION OF BUOYANCY FORCE AND LIMITED MOTION CONTROLpg(s) 109-111
This paper results are based on the mathematical model of the motion control of an autonomous solid body in stratified incompressible fluid which was presented by the authors at XII MTM Congress held in September 2015 and XIV MTM Congress held in September 2017. This paper presents an analytical mathematical model of a solid body, which surfaces in stratified viscous incompressible fluid, a difference scheme and its solution. The body is equipped with controlled rudders, wings of finite span, and does not have its own propulsion system. It is moved by the influence of the buoyancy force and wings lift effect. This body motion is considered to be planeparallel motion. The mathematical model synthesis is based on the hydrodynamic equations.
Fish like many living organisms have specific tolerant range of various environmental parameters, thus fish farming of specific types of fish species requires certain conditions that have to be reached. Moreover, the people that work in the fish farming ponds have to be engaged in all day activities to maintain the living fish habitat. Therefore, monitoring and taking actions to maintain the habitat’s sustainable environment for certain fish species inside of fishing ponds over distributed machine to machine communication, which will shorten the time needed for some basic actions, is the main motivation for this paper. In this paper we present an upgrade on a functional Internet of Things (IoT) system for monitoring fish farming ponds. The IoT system consists of various sensors that measure important factors of the water quality like temperature, light intensity or water level, as well as small board computer that processes the data and sends sound and visual notifications to the fish farming manager. The current system lacks the ability to process the data to the end-user via web or mobile platform. Due to remote distance of the fish farming ponds and their location dependence of clean fresh water, one solution of this problem is using expansion module like Wivity modem to enable the end users in real time to monitor and control certain aspects of the fish farming pond IoT system. Wivity modem allows user to communicate to the IoT system via WiFi connection, cellular, LoRaWAN or satellite communication; all in one product. Later on, this module can be integrated with IoT platforms including Japser, Microsoft Azure or Amazon Web Services. For future work, we plan to expand not only the applicable services on different platforms, but also add more control modules and sensors to the existing IoT system for specific fish species.