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Content available remote Performance and overhead analysis in runtime code modification
100%
EN
Availability is a key issue for a wide array of software systems and its importance in the era of cloud computing only continues to grow.For such systems every software update or system fault means decrease in availability or loss of the system’s state and both may involve heavy cost. In order to solve these problems, the system needs to either be able to quickly recover and retrieve its previous state or have the possiblity of applying the needed changes at runtime, without the need to shut the system down. This paper proposes an experimental Versatile Code Generator tool, originally intended for simulating software, prototyping and programmable computer games,as a possible solution to aboveproblems.The tool is capable of creating Cprograms subject to runtime code modification. The main focus of this paper are performance tests, researching overhead generated by the tool. To this end, static (i.e. original) and dynamic (i.e. created by the tool) applications were compared in a number of performance factors (including compilation and execution time, memory usage, source and executable code size).Different cases, including various functions number and size, various number and types of function arguments, have been considered.
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tom Vol. 17 (2)
187--224
EN
In this paper, a dynamic model of computation based on the Universal Turing Machine is proposed. This model is capable of applying runtime code modifications for 3-symbol deterministic Turing Machines at runtime and requires a decomposition of the simulated machine into parts called subtasks. The algorithm for performing runtime changes is considered, and the ability to apply runtime changes is studied through computer simulations. Theoretical properties of the proposed model, including computational power as well as time and space complexity, are studied and proven. Connections between the proposed model and Oracle Machines are discussed. Moreover, a possible method of implementation in real-life systems is proposed.
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tom Vol. 19 (3)
257--278
EN
In this paper, a prototype lifelogging system for monitoring people with cognitive disabilities and elderly people as well as a method for the automatic detection of dangerous activities are presented. The system allows for the remote monitoring of observed people via an Internet website and respects the privacy of the people by displaying their silhouettes instead of their actual images. The application allows for the viewing of both real-time and historical data. The lifelogging data (skeleton coordinates) needed for posture and activity recognition are acquired using Microsoft Kinect 2.0. Several activities are marked as potentially dangerous and generate alarms sent to caregivers upon detection. Recognition models are developed using Averaged Hidden Markov Models with multiple learning sequences. Action recognition includes methods for dierentiating between normal and potentially dangerous activities (e.g., self-aggressive autistic behavior) using the same motion trajectory. Some activity recognition examples and results are presented.
EN
This paper presents the results of research aimed at constructing a linear mathematical model that determines the influence of selected factors characterising construction production on the accident rate in the construction industry. A number of linear multi-factor mathematical models were developed, which were then compared with each other, and those that best described the analysed phenomena were selected.
PL
W artykule zawarto rezultaty badań, których celem było zbudowanie liniowego modelu matematycznego określającego wpływ wybranych czynników charakteryzujących produkcję budowlaną, na wypadkowość w budownictwie. Opracowano kilkanaście liniowych wieloczynnikowych modeli matematycznych, które następnie porównano ze sobą i wytypowano te, które najlepiej opisują analizowane zjawisko.
PL
W artykule przedstawiono korzyści eksploatacyjne płynące ze stosowania silników indukcyjnych zasilanych przez łącznik tyrystorowy sterowany mikroprocesorem.
6
Content available Very Fast Non-Dominated Sorting
51%
EN
A new and very efficient parallel algorithm for the Fast Non-dominated Sorting of Pareto fronts is proposed. By decreasing its computational complexity, the application of the proposed method allows us to increase the speedup of the best up to now Fast and Elitist Multi-Objective Genetic Algorithm (NSGA-II) more than two orders of magnitude. Formal proofs of time complexities of basic as well as improved versions of the procedure are presented. The provided experimental results fully confirm theoretical findings.
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