SHS web of conferences 

About: SHS web of conferences is an academic journal published by EDP Sciences. The journal publishes majorly in the area(s): Computer science & China. It has an ISSN identifier of 2261-2424. It is also open access. Over the lifetime, 2560 publications have been published receiving 219 citations. The journal is also known as: Social and human Sciences web of conferences (Print) & Sciences humaines et sociales web of conferences.

An improved adaptive genetic algorithm

Abstract: Genetic algorithm is a classic intelligent bionic algorithm, which is evolved according to the genetic evolution process of organisms in nature, and has strong global optimization ability. Firstly, this paper expounds the basic principle of genetic algorithm, which comes from the viewpoint of “survival of the fittest and survival of the fittest” in Darwin’s theory of evolution, introduces the main characteristics of the algorithm, and summarizes the shortcomings of the algorithm. Based on the specific running steps of genetic algorithm, aiming at the shortcomings of genetic algorithm, an improved adaptive genetic algorithm is proposed. Finally, an example is used for simulation. The simulation results show that the improved algorithm has certain advantages.

Evaluation of impact of the Covid-19 pandemic on rental housing prices in the city of Brno between 2020 and 2021

Abstract: The aim of the paper is an application of the basic principles in determining rental housing prices and factors that may affect them. In the experimental part, an analysis of rental housing in the city of Brno is performed for the 2020 – 2021 period affected by the covid-19 pandemic. The analysis is processed for individual city districts and divided according to apartment layout. Finally, all outputs are compared and the real estate market development is determined with a focus on the biggest changes and their occurrence.

Internet Of Things (IoT) awareness in Greece

Abstract: Internet of Things (IoT) is a technology in which objects are embedded with sensors, software, and other technologies to connect and exchange data with other devices and systems over the Internet. The main goal of the Internet of things is the real-time operation of devices; as a result, daily life improvement and data collection are without human intervention. In this paper, we investigate IoT awareness from Greek citizens. A worldwide literature review about IoT is presented, and the results are connected with the theoretical study. Furthermore, in 2018, 22 billion devices connected with IoT worldwide, and by 2030 it is expected that 50 billion devices to be enabled too. An online questionnaire was developed by the use of Google forms and distributed via e-mail and social media. The statistical analysis of the responses of 387 participants concluded that the level of security, privacy, and familiarity significantly affects the use of IoT. Some of our hypotheses and findings in the current survey are the extent of IoT technologies that are represented in Greece, the gender that is more familiar with IoT technologies, and the association of the monthly income with IoT knowledge.

Modeling of ecophobic tendencies of consciousness of higher education students

Abstract: The article reveals the peculiarities of the formation of strategies for the development of ecological consciousness (ecophilic educational strategies) of higher education students on the basis of digital models of ecophobic tendencies (intentions, values). Based on the application of the developed “Fedorets-Klochko mini-questionnaire "Ecophobic consciousness of the industrial epoch"” an experimental study of ecophobic and ecophilic intentions and values of higher education students. This mini-questionnaire reveals the environmental aspects of consciousness by actualizing the culture and psychology of everyday life. Based on the application of digital and mathematical modeling, ecological and value comprehension of the results of experimental research conducted using this mini-questionnaire, a model of “Archaic ecophobic intentions and values” was formed. This model contains the following digital models: “Matrix of coefficients (weights) for determining ecophobic intentions and values” and “Cluster model of ecophobic intentions and values”. Based on the application of these digital models, the concept of sustainable development and other concepts and approaches, three ecophilic educational strategies have been developed: “Synergistic strategy of personal security through care for the Earth”; “Strategy for harmonization of needs based on care for the Earth”; “Strategy for harmonization of human-Earth interaction”. When using the “Matrix of coefficients (weights) to determine ecophobic intentions and values” determines the system-organizing value and the dominant influence of the “Synergistic strategy of personal security through care for the Earth”. This strategy has a genetic and semantic connection with the basic vital (vital) value – food security (individual and collective). The application of this strategy can be relevant in educational theory and practice and in everyday life (life, work) to optimize and minimize human needs.

RELU-Function and Derived Function Review

Abstract: The activation function plays an important role in training and improving performance in deep neural networks (dnn). The rectified linear unit (relu) function provides the necessary non-linear properties in the deep neural network (dnn). However, few papers sort out and compare various relu activation functions. Most of the paper focuses on the efficiency and accuracy of certain activation functions used by the model, but does not pay attention to the nature and differences of these activation functions. Therefore, this paper attempts to organize the RELU-function and derived function in this paper. And compared the accuracy of different relu functions (and its derivative functions) under the Mnist data set. From the experimental point of view, the relu function performs the best, and the selu and elu functions perform poorly.