A agua destinada ao consumo humano e a agua potavel, a qual precisa atender a alguns padroes de qualidade estabelecidos pelo Ministerio da Saude. Por essarazao, alguns parâmetros devem ser analisados, como o microbiologico, que tem como finalidade detectar a presenca de microrganismos indicadores e quantifica-los.

In this paper we implement Block method for convex polygon triangulation in web environment (PHP/MySQL). Our main aim is to show the advantages of usage of web technologies in performing complex algorithm from computer graphics. The basic assumption is that one obtained results we store in database and use it for other calculation. Databases are convenient and structured methods of sharing and retrieving data. We have performed a comparative analysis of developed program with respect to two criteria: CPU time in generating triangulation and CPU time in reading results from database.

This paper presents a one solution for photovoltaic (PV) emulator. A main part of the developed PV emulator is buckconverter with recently proposed new I2 dual current mode control (I2 DCMC). The given simulation and experimental resultsdemonstrate excellent performances of the proposed PV emulator: matching between the characteristics obtained from the developedmathematical (simulation) model of the PV module and from the PV emulator, adaptability to the emulated changes in solar insolationand temperature, simple and efficient manipulation with PV module parameters and operating conditions, which is useful especially foreducation purposes, and fast dynamics.

Production of solid fuels from wooden biomass is defined with appropriate energy chain of supply. The notion of energy chain concept has been defined as the trajectory of energy transformations from the fuel source or energy sources to useful energy form to end users. Supply chain for production solid fuels from wooden biomass is also energy chain with high importance in biomass energy planning. In this paper, base for testing and research is developed mathematical model in previous published paper with preliminary note titled as “Multi-Criteria Optimization Concept for the Selection of Optimal Solid Fuels Supply Chain from Wooden Biomass“ at Croatian Journal of Forest Engineering. Three supply chains have been included in comparison: production of wood chips at the terminal – variant 1, production of pellet – variant 2 and production of wood chips by means of a mobile chipper in a forest – variant 3. The VIKOR methodology is used for total ranking all mentioned chains. Real input data have been used for mathematical calculation correspond to Bosnia and Herzegovina conditions.

Software-defined networking (SDN) has attracted the attention of the research community in recent years, as evidenced by a large number of survey and review papers. The architecture of SDN clearly recognizes three planes: application, control, and data planes. The application plane executes network applications, the control plane regulates the rules for the entire network based on the requests generated by network applications, and based on the set rules, the controller configures the switches in the data plane. The role of the switch in the data plane is to simply forward packets based on the instructions given by the controller. By analyzing the SDN-related research papers, it is observed that research, from the very beginning, is insufficiently focused on the data plane. Therefore, this paper gives a comprehensive overview of the data plane survey with a particular emphasis on the problem of programmability and flexibility. The first part of the survey is dedicated to the evaluation of actual data plane architectures through several definitions and aspects of data plane flexibility and programmability. Then, an overview of the SDN-related research was presented with the aim of identifying the key factors influencing the gradual deviation from the original data plane architectures given with ForCES and OpenFlow specifications. In this paper, we used the term data plane evolution for this deviation. By establishing a correlation between the treated problem and the problem-solving approaches, the limitations of ForCES and OpenFlow data plane architectures were identified. Based on the identified limitations, a generalization of approaches to addressing the problem of data plane flexibility and programmability has been made. By examining the generalized approaches, open issues have been identified, establishing the grounds for future research directions proposal.

In order to ensure the required wireless communication system performances, it is necessary to have an efficient communication channel model, which is capable of considering all channel degradation factors fairly. In this paper, a unified hollow-disk geometrically based stochastic channel model is derived. This model assumes that the scatterers are distributed in a hollow-disk area around a mobile station. Namely, the scatterer distribution is derived as a projection of $\boldsymbol{d}$-dimensional uniformly distributed scatterers into two-dimensional space. According to this generalization, derived model is capable of obtaining uniform circular, uniform ring, uniform hollow-disk, and unified disk scattering model as special cases, as well as modeling a whole new group of hollow-disk models. Under an assumption of single bounce scattering and omnidirectional antennas at transmitter and receiver, joint probability density function (PDF) of angle-of-departure and angle-of-arrival, as well as the joint PDF of time-of-arrival and angle-of-arrival are derived. Subsequently, the corresponding marginal PDFs are provided in a closed form. Thus, derived PDFs are suitable for any position of the base station, (base station placed inside or outside of scattering region). The proposed model is validated by several measured channels. The curve fitting results shown the high flexibility of the proposed model and outperforming results compared with several other geometric scattering models.

Expressivity - the use of multiple, non-verbal, modalities to convey or augment the communication of internal states and intentions - is a core component of human social interactions. Studying expressivity in contexts of artificial agents has led to explicit considerations of how robots can leverage these abilities in sustained social interactions. Research on this covers aspects such as animation, robot design, mechanics, as well as cognitive science and developmental psychology. This workshop provides a forum for scientists from diverse disciplines to come together and advance the state of the art in developing expressive robots. Participants will discuss points of methodological opportunities and limitations, to develop a shared vision for next steps in expressive social robots.

Background: Many papers have been published on the topic of basketball players’ performance. Most of them have come from authors covering the field from USA and Europe, whereas the number of papers from the rest of the world, particularly Asia, has so far been small in numbers. Objectives: Evaluate the significance of the observed parameters in relation to the game outcome (winning/losing) at the last continental championship, 2017 FIBA Asia Cup. Methods: The sample of entity consisted of 40 games played at 2017 FIBA Asia Cup. The sample of variables consisted of 13 variables registered in the manner as set out by FIBA regulations and 15 derived (relative) variables. Accordingly, two basic models of regression were formed, i.e. absolute and relative, and they had the number of total points scored as their dependent variable. The correlation between the two models was performed by means of regression and correlation analysis of the two models - stepwise regression. Results: The obtained regression models and partial correlation indicate that winning and losing performance was heavily influenced in the absolute model, by the following: ΔFGM, ΔMFT, and ΔM3, accounting for 95.9% of difference. The second model extracted: ΔFG%, ΔTO%, ΔDR%, ΔPTS3%, and ΔFT%, accounting for 90.7% of difference between winning and losing teams. Conclusions: Considering the significance of shooting and defensive rebounding, basketball coaches have been strongly advised, in this and many previous works, to pay special attention to these segments of the game.

Congestion control algorithms are crucial in achieving high utilization while preventing overloading the network. Over the years, many different congestion control algorithms have been developed, each trying to improve in specific situations. However, their interactions and co-existence has, to date, not been thoroughly evaluated, which is the focus of this paper. Through head-to-head comparisons of representatives from loss-based, delay-based and hybrid types of congestion control algorithms, we reveal that fairness in resources claimed is often not attained, especially when flows sharing a link have different RTTs.

The rising number of IoT devices is accelerating the research on new solutions that will be able to efficiently deal with unreliable connectivity in highly dynamic computing applications. To improve the overall performance in IoT applications, there are multiple communication solutions available, either proprietary or open source, all of which satisfy different communication requirements. Most commonly, for this kind of communication, developers choose REST HTTP protocol as a result of its ease of use and compatibility with the existing computing infrastructure. In applications where mobility and unreliable connectivity play a significant role, ensuring a reliable exchange of data with the stateless REST HTTP protocol completely depends on the developer itself. This often means resending multiple request messages when the connection fails, constantly trying to access the service until the connection reestablishes. In order to alleviate this problem, in this paper, we combine REST HTTP with random linear network coding (RLNC) to reduce the number of additional retransmissions. We show how using RLNC with REST HTTP requests can decrease the reconnection time by reducing the additional packet retransmissions in unreliable highly dynamic scenarios.

Sustainable development is one of the most important preconditions for preserving resources and balanced functioning of a complete supply chain in different areas. Taking into account the complexity of sustainable development and a supply chain, different decisions have to be made day-to-day, requiring the consideration of different parameters. One of the most important decisions in a sustainable supply chain is the selection of a sustainable supplier and, often the applied methodology is multi-criteria decision-making (MCDM). In this paper, a new hybrid MCDM model for evaluating and selecting suppliers in a sustainable supply chain for a construction company has been developed. The evaluation and selection of suppliers have been carried out on the basis of 21 criteria that belong to all aspects of sustainability. The determination of the weight values of criteria has been performed applying the full consistency method (FUCOM), while a new rough complex proportional assessment (COPRAS) method has been developed to evaluate the alternatives. The rough Dombi aggregator has been used for averaging in group decision-making while evaluating the significance of criteria and assessing the alternatives. The obtained results have been checked and confirmed using a sensitivity analysis that implies a four-phase procedure. In the first phase, the change of criteria weight was performed, while, in the second phase, rough additive ratio assessment (ARAS), rough weighted aggregated sum product assessment (WASPAS), rough simple additive weighting (SAW), and rough multi-attributive border approximation area comparison (MABAC) have been applied. The third phase involves changing the parameter ρ in the modeling of rough Dombi aggregator, and the fourth phase includes the calculation of Spearman’s correlation coefficient (SCC) that shows a high correlation of ranks.

Sustainability is one of the main challenges of the recent decades. In this regard, several prior studies have used different techniques and approaches for solving this problem in the field of sustainability engineering. Multiple criteria decision making (MCDM) is an important technique that presents a systematic approach for helping decisionmakers in this field. The main goal of this paper is to review the literature concerning the application of MCDM methods in the field of sustainable engineering. The Web of Science (WoS) Core Collection Database was chosen to identify 108 papers in the period of 2008–2018. The selected papers were classified into five categories, including construction and infrastructure, supply chains, transport and logistics, energy, and other. In addition, the articles were classified based on author, year, application area, study objective and problem, applied methods, number of published papers, and name of the journal. The results of this paper show that sustainable engineering is an area that is quite suitable for the use of MCDM. It can be concluded that most of the methods used in sustainable engineering are based on traditional approaches with a noticeable trend towards applying the theory of uncertainty, such as fuzzy, grey, rough, and neutrosophic theory.