CONTENTS
Vol. 26 No. 4/2022An Algorithm for Transport Optimization as the Effect of the European Green Deal and Climate Neutrality GoalsMarian STOICA, Alexandru Ionuț NIȚU, Marinela MIRCEA 5 The exponential growth of the world population in the last decades (approx. eight billion people in 2022), corroborated with spectacular development of various sectors of activity such as transport, construction, information, and communication technology, etc. exert a worrying pressure on limited natural resources. Moreover, climate change, environmental degradation, increasing pollution, recent armed conflicts are increasingly real existential threats to the global population in general and to the old continent in particular. In this context, the European Green Deal (EGD) comes to counteract such unhealthy developments and proposes to transform Europe into a society with a modern, high performing and resource-efficient economy, with a goal of achieving climate neutrality by 2050. EGD involves a series of legislative measures that will support and implement policies on financial and competitive issues related to climate, energy, industry, sustainable and smart mobility, agriculture and biodiversity conservation and protection. From the EGD perspective, the objectives of this research have focused on the transport sector, with a view to ensuring safe, sustainable, green, and smart mobility. The main result of the research consists of the optimization algorithm developed and implemented by authors at one of the largest alliances transport, which calculates the best option for the delivery of goods, respecting the price lists and the proposed carbon dioxide emissions targets. At the same time, in the light of the results and conclusions of the research, the general implications regarding the financial and competitive aspects of the EGD are analysed, as well as the particular ones, specific to the alliance that is the object of the case study. Keywords: The European Green Deal, Climate neutrality, Transport, Optimization algorithm, Decarbonisation of the economy, Competition, Technology Evaluation of Students Through the Commits Made on the GitHub Code Repositories Alexandru ALEXANDRU, Alin ZAMFIROIU 20 Evaluation of students in the time of the semester is made in general by homework and some tasks that the students should resolve them. For a technical course like programming or development is important to evaluate the perspective of the students that can work in coding. In this paper, we present an instrument that can help teachers in student assessment by providing support for work management and automated code evaluation. For programming subjects, it is very important for the teacher to follow the progress of all students during the semester. This would mean giving them a lot of homework and correcting them. This is very time-consuming. The tool proposed by us will make an automatic evaluation of all the commits made by the students on a GitHub repository, the teacher being able to see the evolution of all the students much faster. Keywords: Students, Evaluation, Code, Repositories Smart Contracts – Support for Successful Businesses Gheorghe MATEI 28 Smart contracts have been one of the hottest topics over the last few years. They represent a step forward in the progression of blockchains from a financial transaction protocol to an application that automatically implements the terms and conditions of a business agreement. A smart contract is a computer program that runs on a network that uses a consensus protocol that helps the network’s nodes make decisions about actions to follow, and is responsible for the network to be trustless. It ensures the automatic and direct transfer of digital currencies, goods, assets, or information between parties without the need for intermediaries. This paper aims to briefly present the smart contract technology, its advantages and disadvantages, as well as several areas that could gain important benefits by implementing new systems based on blockchain and smart contracts. Keywords: Smart contracts, Blockchain, Hash code, Immutability, Consensus, Oracles Post-COVID Psychological Impact on Social Media Users: A Study on Twitter Users Md Rasel MIA, Ahmed Imran KABIR, Abdullah Al FAHAD 40 In China, healthcare specialists discovered a new and unknown virus around the end of December 2019. Later, it was recognized as Coronavirus; the virus rapidly spread over the globe. Lockdowns, and social isolation were the primary measures taken by every nation's government to control of the virus. In February 2022, the World Health Organization (WHO) announced that fast immunization reduces Coronavirus infection rates by 21 percent. After the COVID-19 epidemic, the researchers anticipated that another pandemic, mental health, would spread over the world. In fact, the psychological influence on the general population during and after the COVID-19 outbreak has grown vulnerable. The purpose of this work was to do a sentiment analysis on Twitter data using the Python programming language in order to determine the psychological influence of Twitter users in the post-COVID era. Keywords: COVID-19, Post-COVID, Mental Health, Psychological Impact, Sentiment Analysis, Natural Language Processing, Automated text analysis, NLP, Social Media Analysis, Data Mining A Dynamic Generator for Machine Learning Training for Traffic Management Systems Florin ANDREESCU 55 This study introduces the concept of a Dynamic Generator for Machine Learning (ML) training. The paper presents the use of this key concept in order to obtain valuable data about the traffic in a crowded city like Bucharest according to the city habits and to the real-time data collected. The trained ML models may be used in the architecture of a modern Traffic Management System (TMS) based on Artificial Intelligence (AI) for Bucharest or any other crowded city. The Generator consists of a Simulator and a Collector of real data from the observed environment. In this way, the obtained set of data is hybrid because it may contain real data obtained from sensors together with synthetic data obtained from the Simulator. The Generator is dynamic because the synthetic data are smoothly replaced with real data as time goes by and as more and more sensors are put into operation in the city. The Simulator results are produced according to a simplified city model and some socio-compartmental parameters which try to describe at the macro level the behavior of the city based on historical data collected in time by the authorities and other nongovernmental organizations. These initial parameters could be improved, and more than that, the city's behavior is changing over time. That's why the city model and the parameters have to be refined in time. In this way, each new data generation will serve to re-train more accurately the set of ML models needed in the Traffic Management System. Keywords: Informatics management system, Simulation, Artificial Intelligence, Machine Learning, Traffic The 22nd International Conference on Informatics in Economy, IE 2023 66 Publishing Guide for Authors 67 INFOREC Association 69 |
