Intelligent programming support system: machine learning feat. Fast development of secure programs.

The article is devoted to the field of software development. The considered scientific contradiction lies in the fact that, on the one hand, the use of manual labor of a programmer is necessary in this area, and on the other hand, the presence of a human factor negatively affects the safety of the resulting code. To resolve the contradiction, it is proposed to use machine learning, which is traditionally used to solve the problem of classification, regression, search for anomalies, clustering, generalization and search for associations. It is shown that the majority of publications on this solution are of a private nature and do not cover the entire spectrum of possibilities. Various ways of automating the programming process using solutions for the specified machine learning problems are considered and substantiated. The demand for a system that combines such methods is indicated; Also, for the first time, its author’s definition is introduced: «Intelligent Programming Support System – a computer automated system based on artificial intelligence technologies, the purpose of which is to help developers of program code in the interests of reducing and simplifying manual labor, as well as increasing the safety of the final product». A comparative analysis of automation methods based on machine learning is given according to 8 criteria that this intelligent system must meet. The ways of further continuation of the research are indicated.

Possible Impact of Robotics and Artificial Intelligence on Oman’s Logistics Sector: A Review

Changing times require industries to adopt ever-changing technologies in order to stay afloat and compete at the global stage. The logistics industry is experiencing a global boom due to progress in the e-commerce sector and ever-increasing consumer needs of the modern world. Oman’s long-term vision includes logistic sector as one the main contributors to the country’s GDP. Sea Ports such as Sohar and Al Duqm are another indication of the Sultanate’s ambitions to diversify the economy for the post-oil era. The logistics sector in Oman needs to adopt technology that not only helps it with improving its operations but helps reshape the industry standards in Oman. Robot adoption is the latest trend in the global logistics industry and Oman’s leading logistics companies need to adopt it too. The combination of logistic robots and right artificial intelligent programming can do wonders for a company. Artificial intelligence complements robotics to achieve their tasks more efficiently and helps with better robot maintenance. Oman’s logistics sector can benefit greatly from the introduction of logistic robots on both practical fronts as well as the marketing front. A research was conducted based on one of Oman’s leading and most prominent logistics company to identify the level of robotics and artificial intelligence in use. The descriptive approach of research was applied to attain the required data through both quantitative and qualitative means. Interviews and surveys were conducted in order to justify the requirement of the proposed research. The aim of the study was to build a case for implementation of robotics in conjunction with artificial intelligence in Oman’s logistics sector in order for Oman’s logistics sector to fulfil its potential and compete at global stage.

Intelligent programming of robotic flange production by means of CAM programming

The article deals with the description of the production programming of a robotic flange, which consists of outer conical, cylindrical surface, face area and internal threaded surfaces. For the modelling of a 3D model and the generation of production design, the Autodesk Inventor Professional 2018 software was used. To enter the semi-finished piece, select individual tools, cutting conditions, simulation and the NC program generation for RS Fanuc, the HSMPRO 2018 software extension was used. The circularity deviation was measured using the Roundtest RA 120 measuring device. The mean arithmetic values of roughness for the hole were: D = 126, Rz = 11.43 μm, Ra = 1.92 μm. The circularity deviation was 22.3 μm.

Modern Text Hiding, Text Steganalysis, and Applications: A Comparative Analysis

Modern text hiding is an intelligent programming technique which embeds a secret message/watermark into a cover text message/file in a hidden way to protect confidential information. Recently, text hiding in the form of watermarking and steganography has found broad applications in, for instance, covert communication, copyright protection, content authentication, etc. In contrast to text hiding, text steganalysis is the process and science of identifying whether a given carrier text file/message has hidden information in it, and, if possible, extracting/detecting the embedded hidden information. This paper presents an overview of state of the art of the text hiding area, and provides a comparative analysis of recent techniques, especially those focused on marking structural characteristics of digital text message/file to hide secret bits. Also, we discuss different types of attacks and their effects to highlight the pros and cons of the recently introduced approaches. Finally, we recommend some directions and guidelines for future works.

Washing Machine Controller with a New Programming Method

In the paper the newly designed at Poznan University of Technology (PUT) washing machine controller is presented. The commonly used in washing machines sensors, drives and other input-output elements are briefly described. The designed at PUT controller is based on 32-bit STM32 microcontroller. The used in this controller modules are described and their input/output signals and basics of operations are presented. The developed in the controller user-machine communication devices, elements and methods are described. The paper presents new washing machine programming methods and implementation software, such as voice recognition and intelligent programming of washing machine that were applied in the new controller.