Urban mobility is one of the most significant factors in the successful development and sustainable future of large cities. The increasing demand for fast, safe, and eco-friendly transportation services is a trend in modern society. These requirements pose the challenge of finding corresponding solutions for efficient mobility of people in urban areas. However, many problems are caused by the increased traffic in cities, leading to high congestion, negative impacts on the environment, rising security challenges, etc. Therefore, the research community and other stakeholders have increased their focus on finding solutions for these issues. The Internet of Things (IoT) has enabled the development of efficient and cost-effective solutions to enhance urban mobility. Enabling IoT technologies has become a significant driver for smart mobility concept development. The continuous development of IoT has led to various applications focused on urban mobility improvement. This paper presents some IoT possibilities and potentials for developing solutions for smart urban mobility.

The development of information society and broadband Internet is key indicators of social and economic change. They transform the way companies, political systems, and citizens communicate with each other. Today, we talk about various regional and national initiatives to first stabilize and then improve the economies of countries through the development of the Internet and information society. The European Union has recognized information technology as a major factor influencing economic growth and innovation. Among the seven flagship initiatives of the Europe 2020 economic strategy is the Digital Agenda for Europe. This shows the importance that information technologies have in the development of the modern economy. In this paper, we analyze the current state of development of the information society and broadband Internet access in Bosnia and Herzegovina. We highlight the necessity of considering mechanisms for the development of broadband access. We analyzed the current situation and progress in the implementation of the Digital Agenda guidelines in EU countries. The aim of this research is to highlight the advantages of using EU strategic guidelines to improve and develop the current situation in the field of broadband Internet in Bosnia and Herzegovina

The fourth industrial revolution (Industry 4.0) anticipates frequent synthesis and optimization of different architectural design decisions (ADDs) – such as deployment of software components to hardware components, service composition, production planning, and topology (plant layout) synthesis. The frequent manual search for valid and optimal architectural designs is a time- and cognition-consuming task for an engineer. This asks for automating the process of deriving different ADDs. Although automating different ADDs is intensely investigated in other domains, the current research works 1) require higher engineering effort for specifying architecture optimization problems; 2) conduct (only) sequential ADDs, leading to lower solution quality (i.e., sub-optimal production); 3) neglect re-configurability and reliability of architectures, and, thereby, offer no solution for production downtime; 4) neglect event-based execution semantics while considering timing-related issues. Therefore, I propose a Satisfiability Modulo Theories (SMT)-based framework for joint synthesis and optimization of multi-dimensional ADDs using industrial automation domain models (e.g., plant topology, product recipes, stations capabilities, etc.). This research should bring following benefits for the practitioners and researchers: 1) reduction of engineering effort for conducting different ADDs; 2) improvement of different quality attributes (e.g., production performance, reconfigurability, reliability, etc.); 3) guideline/support for a practitioner in choosing ADDs workflow to improve given quality attributes.

Self-adaptive systems offer several attack surfaces due to the communication via different channels and the different sensors required to observe the environment. Often, attacks cause safety to be compromised as well, making it necessary to consider these two aspects together. Furthermore, the approaches currently used for safety and security analysis do not sufficient take into account the intermediate steps of an adaptation. Current work in this area ignores the fact that a self-adaptive system also reveals possible vulnerabilities (even if only temporarily) during the adaptation. To address this issue, we propose a modeling approach that takes into account the different relevant aspects of a system, its adaptation process, as well as safety hazards and security attacks. We present several models that describe different aspects of a self-adaptive system and we outline our idea of how these models can then be combined into an Attack-Fault Tree. This allows modeling aspects of the system on different levels of abstraction and co-evolve the models using transformations according to the adaptation of the system. Finally, analyses can then be performed as usual on the resulting Attack-Fault Tree.CCS CONCEPTS• Software and its engineering → System description languages; Fault tree analysis; • Computer systems organization → Embedded and cyber-physical systems; Dependable and fault-tolerant systems and networks.

Nowadays, when applications are being developed faster with the introduction of agile methodologies and new technologies, microservices are emerging. The microservices make applications easier to create and maintain when broken down into smaller parts, which form a whole application. RabbitMQ acts as an intermediary between the various services. It reduces the load and delivery time on server web applications by delegating tasks that would typically take a lot of time and resources. Message queuing allows web servers to respond quickly to requests rather than being forced to perform complex procedures that can take more time and resources. AMQP (Advanced Message Queuing Protocol) is a message protocol that deals with publishers and consumers like any other messaging system. Publishers produce messages while consumers download and process them. The job of message brokers, such as RabbitMQ, is to ensure that messages from publishers go to the right consumers. To do this, the broker uses two key components: exchange and order. We demonstrated that the style of microservice architecture is an approach to the development of an application as a set of small services, each in charge of its own process and communication with other services.

The main aim of the paper is modeling and simulation of fiber optic transmission. It also deals with ways to increase the capacity of fiber optic transmission links by using WDM (Wavelength Division Multiplexing) system. The parameters of the fiber optic transmission link were measured on a real optical transmission links and a model for simulation was set up. A simulation of increasing the capacity of a fiber optic transmission link was made in two ways. The first one is to increase the transmission speeds of the individual channels of the WDM system, and the second one is to increase the number of WDM system channels with lower individual speeds. The simulation results showed that the second method provides better quality of WDM service. The additional experiment was done on an existing ITU T G.655 optical fiber intended for WDM systems whose parameters were measured. Bit error rate and Q parameter for WDM system of 4 and 16 channel was used to check quality of proposed solution.

Trata o presente artigo da concordância verbal em Helvécia, comunidade afro-brasileira  localizada no Sul do estado da Bahia, Brasil, com base nos registros de Ferreira (1994) e  Lucchesi, Baxter e Ribeiro (2009), e em duas comunidades afro-brasileiras localizadas no  Baixo Amazonas Paraense, Brasil, a partir dos dados de Costa (2019). Os registros dos  autores são descritos e comentados, privilegiando-se a discussão do uso de ele foi e ele fui. Os  resultados mostram que variantes encontradas em Helvécia, na década de 1960, também são  registradas nas comunidades amazônicas, em 2016, mas que ele fui foi encontrado apenas nas comunidades da Amazônia. Essa variação foi identificada na fala de idosos das duas  comunidades pesquisadas, Arapucu e Silêncio. A hipótese conclusiva é de que esse uso  caracteriza a redução do paradigma verbal do Português Brasileiro e estaria relacionado a  uma alteração ligada ao nível fonético, característica da norma popular. No presente estudo,  dados são apresentados como suporte empírico dessas conclusões.

Software process improvement implies a set of complex and systematic activities of software engineering. It requires theory and models established in management, technical and social sciences. The improvement is based on the assumption that the organization if it owns mature and capable processes, would be able to deliver quality software on time and in line with predicted costs. The maturity models are initially aimed for implementation in enterprise software organizations, government organizations and within the military industry. Their complexity and the size make them difficult to use in small software organizations and companies. In such organizations the interest for use and the efforts to make an efficient and effective organization is always presented, though. In this paper, the basic and derived capability maturity models are described and cases from their implementation are analyzed, along with assessment of results of such projects in business practices. The problem of the software process improvement in small organizations is described, extracting the risks and recommendations for its enhancement. These recommendations are provided in order to set up a foundation for implementation of these models in a specific managerial and organizational environment characterized by small organizations.

Imposed changes in social conduct and the dynamics of living in cities, during COVID-19 pandemic, triggered an increase in the demand, availability, and accessibility of open public spaces. This has put forward questions of the relationship between open public spaces and disease transmission, as well as how planning and design strategies might be used to improve resilience in the face of future pandemics. Within this academic framework, this study focuses on object detection and human movement prediction in open public spaces, using the city of Sarajevo as a case study. Video recordings of parks and squares in morning, afternoon and evening are utilized to detect humans and predict their movements. Frame differentiation method proved to be the best for object detection and their motion. Linear regression is used on a dataset collected using the space syntax observation technique gate method. The best R-2 values, 0.97 and 0.61, are achieved for weekdays, for both parks and squares. Authors associated it with the dynamics of space use and frequency of space occupancy, which can be related to physical conditions and activity content of selected locations. The results of study provide an insight into analysis and prediction of direction, as well as density of pedestrian movement, which could be used in decision making directed towards more efficient and health oriented urban planning.

In the last few years, we have been active participants in globalization and the rapid growth of online commerce. This trend directly impacts logistics, postal, and courier companies. Challenges are visible in the growth and development of these companies, as well as quality of task execution and the ability to adapt to market conditions. With the impact of the SARS-COV-19 virus on the market, and due to locks during the pandemic, shoppers were forced to buy products online. This effect accelerated the trend of purchases via e-commerce, which increased the number of parcels in the technological phases of pick-up and delivery. These companies are the bearers of the first and last technological phase of shipment transport. Due to the increase in the number of shipments, postal and logistics companies are under great pressure. This is because of certain restrictions introduced during the pandemic, but also because of costs, especially fixed costs in the first and last phase of transport. This paper proposes an outsourcing model for the pick-up and delivery to convert fixed costs into variable ones.

The Internet of Things (IoT) connects everyone in the smart world, so the energy consumption of IoT technology is a challenging and attractive research area. The development of technology in the field of IoT has changed the way of life and enriched society with its benefits, but we must not ignore the fact that IoT consumes energy, contributes to toxic pollution, and generates electrical waste. To increase the benefits and reduce the harmfulness of IoT, there are increasing tendencies to move towards green IoT (G-IoT). The G-IoT is considered the future environmentally friendly IoT. Greening ICT technology plays a key role in G-IoT and promises many benefits to society such as efficient production, and reducing the energy used to design and distribute ICT devices and equipment. This paper will present a comprehensive overview of G-IoT technologies and strategies that demonstrate work and efforts to build a green and smart world, contributing to a safe and healthy environment, smart and high quality of life based on enabling technologies, reducing pollution, and reducing energy consumption. ICT technologies that enable G-IoT include Green RFID, Green Wireless Sensor Network (GWSN), Green Cloud Computing (GCC), Green M2M (G-M2M), and Green Data Center (GDC). The paper will also present an analysis of the importance of environmental technology processes in sustainable development, exploring the principles and roles of G-IoT in the progress of society through examining its potential for improving quality of life, environment, economic growth, and green global modernization.

The aim of the paper is to present the results of the VNTR gene polymorphism genetic variants molecular typing for endothelial nitric oxide synthase (eNOS) in human population of Tuzla Canton. Based on the analysis of the distribution of eNOS gene genotypes in the total sample of respondents, the highest frequency was recorded for the (b/b) genotype, which was 73.0%. For the heterozygous (a/b) genotype of the eNOS gene, a frequency of 24.0% was determined, and a frequency of 3.0% was recorded for the (a/a) genotype. The research resulted in a database of local and global significance, namely, the incorporation of these data into the existing regional and European genetic database.

The aim of this paper is to determine the differences between externalized and internalized behavioral problems in the population of young adolescents in the city of Tuzla on eight different scales of syndromes (anxiety/depression, reticence, physical difficulties, aggression, rules violation, social problems, thinking problems, and attention problems). The paper starts from the assumption that there are differences between younger adolescents with internalized and externalized behavioral problems with regard to gender in such a way that externalized problems will be more frequent in male adolescents and internalized behavioral problems in female adolescents. The sample of respondents in this study consists of 587 young adolescents of both genders. The research was conducted in fifteen primary schools in the city of Tuzla. The Achenbach dimensional classification of behavioral disorders was used for assessment (Achenbach & Rescorla, 2001). The results show higher scores for internalized behavioral problems. Female adolescents had statistically significantly higher scores on the Anxiety/Depression, Somatic Problems, and Thought Problems subscales.