Genetic Decompilation Concept of the Telecommunication Devices Machine Code

Reverse engineering correct source code from a machine code to find and neutralize vulnerabilities is the most pressing problem for the field of telecommunications equipment. The decompilation techniques applicable for this have potentially reached their evolutionary limit. As a result, new concepts are required that can make a quantum leap in problem solving. Proceeding from this, the paper proposes the concept of genetic decompilation, which is a solution to the problem of multiparameter optimization in the form of iterative approximation of instances of the source code to the "original" one which will compile to the given machine code. This concept is tested by conducting a series of experiments with the developed software prototype using a basic example of machine code. The results of the experiments prove the proof of the concept, thereby suggesting new innovative directions for ensuring information security in this subject area.

A Layered Middleware for OT/IT Convergence to Empower Industry 5.0 Applications

We are still in the midst of Industry 4.0 (I4.0), with more manufacturing lines being labeled as smart thanks to the integration of advanced ICT in Cyber–Physical Systems (CPS). While I4.0 aims to provision cognitive CPS systems, the nascent Industry 5.0 (I5.0) era goes a step beyond, aiming to build cross-border, sustainable, and circular value chains benefiting society as a whole. An enabler of this vision is the integration of data and AI in the industrial decision-making process, which does not exhibit yet a coordination between the Operation and Information Technology domains (OT/IT). This work proposes an architectural approach and an accompanying software prototype addressing the OT/IT convergence problem. The approach is based on a two-layered middleware solution, where each layer aims to better serve the specific differentiated requirements of the OT and IT layers. The proposal is validated in a real testbed, employing actual machine data, showing the capacity of the components to gracefully scale and serve increasing data volumes.

A real-time predictive software prototype for simulating urban-scale energy consumption based on surrogate models

This paper discusses the development of an experimental software prototype that uses surrogate models for predicting the monthly energy consumption of urban-scale community design scenarios in real time. The surrogate models were prepared by training artificial neural networks on datasets of urban form and monthly energy consumption values of all zip codes in San Diego county. The surrogate models were then used as the simulation engine of a generative urban design tool, which generates hypothetical communities in San Diego following the county's existing urban typologies and then estimates the monthly energy consumption value of each generated design option. This paper and developed software prototype is part of a larger research project that evaluates the energy performance of community microgrids via their urban spatial configurations. This prototype takes the first step in introducing a new set of tools for architects and urban designers with the goal of engaging them in the development process of community microgrids.

A graph-based computerized optimal conceptual design synthesis within the distributed multi-disciplinary resource environment

The trend of inter-disciplinary conceptual design synthesis requires designers to involve more and more distributed multi-disciplinary design resources. Therefore, this paper proposes a graph-based computerized optimal conceptual design synthesis to help designers explore novel design schemes within the distributed multi-disciplinary resource environment. The design resources tightly related to the design goal can be extracted from the huge resource environment by a proposed searching engine. The optimal design scheme can be generated from these related design resources by a proposed graph-based algorithm. A set of computer applications called Automatic Conceptual Design System (ACDS) is established to verify the feasibility of this proposed conceptual design synthesis, and a garbage power system’s conceptual design is completed by this software prototype.

Building Digital Bridges: Improving Digital Collaboration through the Principles of Hyperlinked Practice

<p>Effective collaboration requires access to timely and relevant information, but this is difficult given the complexity of the architectural design process and the segmentation of the architecture, engineering and construction industry. Effective collaboration is further complicated by the quantity and density of the digital information generated within a project, and the irregular adoption of technology by different team members. Consolidating project information within Building Information Models has improved its management, but the technology’s complexity limits who can contribute to it. This is a problem, because team members are capable of collaborating more effectively when they can record and reflect upon a comprehensive record of the project’s design process. The aim of research was to identify how information technology can assist architectural project teams to collaborate by more inclusively and comprehensively recording and reflecting upon the design process. To address this problem, this research proposes that the industry adopt Hyperlinked Practice, which is the creation of a distributed cloud of interconnected information describing an architectural project’s events, activities and digital artefacts. A set of fundamental principles were identified that would be used to guide the design and deployment of digital collaboration tools capable of facilitating Hyperlinked Practice. To ensure a flexible and inclusive environment, the principles were derived from concepts proven within the World Wide Web. To validate these principles, their collaboration influence, potential, and industry applicability was tested within a software prototype utilised in a university architecture course and two thought experiments. The results from testing the software prototype suggest that the principles are capable of influencing collaboration in a manner that promotes the recording of the design process, and reflection upon it. The thought experiments demonstrated that the principles provided an excellent framework for evaluating a digital collaboration tool’s ability to facilitate Hyperlinked Practice. Based on these results, the research concluded the identified principles of Hyperlinked Practice were capable of facilitating a collaboration environment that would allow the design process to be comprehensively recorded and reflected upon.</p>

Building Digital Bridges: Improving Digital Collaboration through the Principles of Hyperlinked Practice

<p>Effective collaboration requires access to timely and relevant information, but this is difficult given the complexity of the architectural design process and the segmentation of the architecture, engineering and construction industry. Effective collaboration is further complicated by the quantity and density of the digital information generated within a project, and the irregular adoption of technology by different team members. Consolidating project information within Building Information Models has improved its management, but the technology’s complexity limits who can contribute to it. This is a problem, because team members are capable of collaborating more effectively when they can record and reflect upon a comprehensive record of the project’s design process. The aim of research was to identify how information technology can assist architectural project teams to collaborate by more inclusively and comprehensively recording and reflecting upon the design process. To address this problem, this research proposes that the industry adopt Hyperlinked Practice, which is the creation of a distributed cloud of interconnected information describing an architectural project’s events, activities and digital artefacts. A set of fundamental principles were identified that would be used to guide the design and deployment of digital collaboration tools capable of facilitating Hyperlinked Practice. To ensure a flexible and inclusive environment, the principles were derived from concepts proven within the World Wide Web. To validate these principles, their collaboration influence, potential, and industry applicability was tested within a software prototype utilised in a university architecture course and two thought experiments. The results from testing the software prototype suggest that the principles are capable of influencing collaboration in a manner that promotes the recording of the design process, and reflection upon it. The thought experiments demonstrated that the principles provided an excellent framework for evaluating a digital collaboration tool’s ability to facilitate Hyperlinked Practice. Based on these results, the research concluded the identified principles of Hyperlinked Practice were capable of facilitating a collaboration environment that would allow the design process to be comprehensively recorded and reflected upon.</p>

Accuracy and Reproducibility of a Software Prototype for Semi-Automated Computer-Aided Volumetry of the solid and subsolid Components of part-solid Pulmonary Nodules

Purpose To test the accuracy and reproducibility of a software prototype for semi-automated computer-aided volumetry (CAV) of part-solid pulmonary nodules (PSN) with separate segmentation of the solid part. Materials and Methods 66 PSNs were retrospectively identified in 34 thin-slice unenhanced chest CTs of 19 patients. CAV was performed by two medical students. Manual volumetry (MV) was carried out by two radiology residents. The reference standard was determined by an experienced radiologist in consensus with one of the residents. Visual assessment of CAV accuracy was performed. Measurement variability between CAV/MV and the reference standard as a measure of accuracy, CAV inter- and intra-rater variability as well as CAV intrascan variability between two recontruction kernels was determined via the Bland-Altman method and intraclass correlation coefficients (ICC). Results Subjectively assessed accuracy of CAV/MV was 77 %/79 %–80 % for the solid part and 67 %/73 %–76 % for the entire nodule. Measurement variability between CAV and the reference standard ranged from –151–117 % for the solid part and –106–54 % for the entire nodule. Interrater variability was –16–16 % for the solid part (ICC 0.998) and –102–65 % for the entire nodule (ICC 0.880). Intra-rater variability was –70–49 % for the solid part (ICC 0.992) and –111–31 % for the entire nodule (ICC 0.929). Intrascan variability between the smooth and the sharp reconstruction kernel was –45–39 % for the solid part and –21–46 % for the entire nodule. Conclusion Although the software prototype delivered satisfactory results when segmentation is evaluated subjectively, quantitative statistical analysis revealed room for improvement especially regarding the segmentation accuracy of the solid part and the reproducibility of measurements of the nodule’s subsolid margins. Key points:

An Adaptive E-learning System for Teaching Mobile Applications

Support for various aspects of personalization and adaptation of the reviewed tools is not at the desired level of abstraction - very often depends on the specific way in which it is assumed that a learning object will be combined, to build a learning path for going through an e-course, or to achieve learning goals. This document describes an innovative and more abstract model and related software system for adaptive e-learning. A software prototype for adaptive teaching of the disciplines "Mobile Applications" and "Programming applications for mobile devices", taught at Plovdiv University "Paisii Hilendarski” is presented. Objectives are discussed, based on an extensive overview in the field of adaptive e-learning systems and the software implementation of the e-learning tool is presented. Results of specific tests with study activities will be presented in future scientific publications.