The influence of m-aminobenzoic acid on electrochemical synthesis and behavior of poly(aniline-co-(<Emphasis Type="Italic">m</Emphasis>-aminobenzoic acid)

Poly(aniline-co-(m-aminobenzoic acid)) was synthesized electrochemically at graphite electrode under galvanostatic conditions. Aqueous electrolyte for synthesis was consisted of HCl and different amount of aniline and m-aminobenzoic acid. The presence of the meta positioned carboxylic group in m-aminobenzoic acid influenced higher co-polymerization potential, different morphology and electrochemical behavior of copolymers compared to polyaniline. Electrochemical activity is achieved by proton exchange in neutral environment that can result in a faster charge/discharge process, which is in the case of PANI limited by slow anion exchange, making this material promising for consideration in super-capacitors and in biological system.     

Research of influences of surface structure of coloured textiles: applying fuzzy logic

The fuzzy logic‐based approach was applied in studying the influence of a different textile surface structure on colour appearance and similarity. The fuzzy‐based approach has been chosen because fuzzy logic provides the computerising of human reasoning. For the analyses, 100% cotton samples with certain characteristics were chosen. First, the computer match prediction was performed to determine the concentrations of dyestuff to be used in the experimental work. A yellow‐shaded direct dyestuff suitable for cotton dyeing was used. In the next step, the fuzzy logic system was created based on terms that would define the surface characteristics of the samples. The most important part was a proper definition of the rules and linguistic variables that use words for assigning the values of properties and that influence the experience of an observer (gloss, smoothness, roughness, etc.) and connect input space with output space. Finally, the performances of both systems were compared and analysed. In this work, the approach was based solely on the surface–structural characteristics of textile samples. The main aim was to examine the approach using the fuzzy logic‐based technique in order to provide the method that would include surface parameters of textile samples that are of importance in applying colour to different structured textile surfaces. It was confirmed that the fuzzy logic reasoning would have its application in the control of the influence of the surface structure of coloured textiles, especially for lighter shades where the influence of structure parameters on the colour experience of an observer is more emphasised.     

Requirement of Acinetobacter junii for magnesium,calcium and potassium ions

The goal of this study was to determine the concentrations of Mg, Ca and K ions required for the formation of metabolically active population of phosphate (P)-accumulating bacterium Acinetobacter junii. The availability of Mg, Ca and K originating from natural minerals in the conditions of severe shortage of these cations was tested. In the case of shortage of Mg, Ca and K ions in wastewater the P removal was absent due to the decay of A. junii. In the cases of Mg or K shortage in wastewater the P removal was negligible due to the decay of A. junii, while Ca was not essential for the examined bacterium. The minimal required concentrations of Mg and K in synthetic wastewater were 0.64 mg Mg/mg P and 0.50 mg K/mg P. The natural zeolitized tuffs and bentonite, either in Mg, Ca or K form, successfully replaced the lack of Mg, Ca, K and trace metals in wastewater. The requirement of A. junii for examined cations was in the order: Mg > K > Ca.     

Polycaprolactone primers with zinc oxide and silicon dioxide nanoparticles for paper substrates: Influence on the properties of cyan and magenta offset prints

In this research study, the applicability of polycaprolactone‐silicon dioxide and polycaprolactone‐zinc oxide coatings used as primers on papers for offset printing, was analysed. Polycaprolactone nanocomposites with different concentrations of nanoparticles were prepared and coated onto three types of papers: uncoated, low‐coated and gloss. The main aim was to analyse the influence of the nanoparticle concentration in primer on the optical and colorimetric properties of cyan and magenta offset printed samples. To further evaluate the applicability of the primers, the tensile strength of primed samples and their surface properties were analysed. Results show that prepared primers are primarily applicable on uncoated and low coated papers. Both nanoparticles in specific concentrations increased gloss values for printed samples on low‐coated paper, and the addition of both types of nanoparticles increased the rub resistance of printed samples. Furthermore, for each type of nanoparticle, the optimal concentration at which the colour deviation on print was minimised could be defined. Adding nanoparticles to primers did not significantly improve mottling on cyan‐printed samples. However, by increasing the concentration of nanoparticles in the primer by up to 1%, the mottling on magenta‐printed samples decreased.     

Diversity and dynamic of lactic acid bacteria strains during aging of a long ripened hard cheese produced from raw milk and undefined natural starter

The aim of this study was to explore diversity and dynamic of indigenous LAB strains associated with a long ripened hard cheese produced from raw milk and undefined natural starter such as PDO Grana Padano cheese. Samples of milk, curd, natural whey culture and cheeses (2nd, 6th, 9th and 13th months of ripening) were collected from 6 cheese factories in northern Italy. DNA was extracted from each sample and from 194 LAB isolates. tRNA^Ala-23S rDNA-RFLP was applied to identify isolates. Strain diversity was assessed by (GTG)5 rep-PCR and RAPD(P1)-PCR. Finally, culture-independent LH-PCR (V1–V2 16S-rDNA), was considered to explore structure and dynamic of the microbiota. Grana Padano LAB were represented mainly by Lactobacillus rhamnosus, Lactobacillus casei, Lactobacillus paracasei, Lactobacillus delbrueckii, Lactobacillus helveticus and Pediococcus acidilactici, while the structure and dynamic of microbiota at different localities was specific. The strength of this work is to have focused the study on isolates coming from more than one cheese factories rather than a high number of isolates from one unique production. We provided a valuable insight into inter and intraspecies diversity of typical LAB strains during ripening of traditional PDO Grana Padano, contributing to the understanding of specific microbial ecosystem of this cheese.     

A model of fuzzy spatio-temporal knowledge representation and reasoning based on high-level Petri nets

In many application areas there is a need to represent human-like knowledge related to spatio-temporal relations among multiple moving objects. This type of knowledge is usually imprecise, vague and fuzzy, while the reasoning about spatio-temporal relations is intuitive. In this paper we present a model of fuzzy spatio-temporal knowledge representation and reasoning based on high-level Petri nets. The model should be suitable for the design of a knowledge base for real-time, multi-agent-based intelligent systems that include expert or user human-like knowledge. The central part of the model is the knowledge representation scheme called FuSpaT, which supports the representation and reasoning for domains that include imprecise and fuzzy spatial, temporal and spatio-temporal relationships. The scheme is based on the high-level Petri nets called Petri nets with fuzzy spatio-temporal tokens (PeNeFuST). The FuSpaT scheme integrates the theory of the PeNeFuST and 117 spatio-temporal relations.The reasoning in the proposed model is a spatio-temporal data-driven process based on the dynamical properties of the scheme, i.e., the execution of the Petri nets with fuzzy spatio-temporal tokens. An illustrative example of the spatio-temporal reasoning for two agents in a simplified robot-soccer scene is given.     

TeMAS–a multi-agent system for temporally rich domains

In this paper, we present the model and simulator of a multi-agent system (MAS) for temporally rich domains. The theoretical foundations of the model include a knowledge representation scheme based on an original modification of Petri nets, called Petri nets with time tokens (PNTTs), as well as temporal reasoning based on the extension of Allen's temporal logic. The proposed MAS, called TeMAS, has a hierarchical structure, consisting of different levels, where each level contains clusters of agents. A paradigm of hierarchically organized blackboards is used for the communication among agents, clusters, as well as levels. We describe an object-oriented implementation of a program simulator of TeMAS and give an example of the use of the simulator for interpretation of events in a dynamic scene. Slobodan Ribarić received the B.S. degree in electronics, the M.S. degree in automatics, and the Ph.D. degree in electrical engineering from the Faculty of Electrical Engineering, Ljubljana, Slovenia, in 1974, 1976, and 1982, respectively. He is currently a Full Professor at the Department of Electronics, Microelectronics, Computer and Intelligent Systems, Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia. His research interests include pattern recognition, artificial intelligence, biometrics, computer architecture and robot vision. He has published more than 150 papers on these topics and authored four books (Microprocessor Architecture, The Fifth Computer Generation Architecture, Advanced Microprocessor Architectures, CISC and RISC Computer Architecture) and co-authored one book (An Introduction to Pattern Recognition). Dr. Ribarić is a Member of the IEEE, ISAI and IAPR. Tomislav Hrkać received the B.S. degree in computer science from the Faculty of Electrical Engineering and Computing at the University of Zagreb, Croatia, in 1999. Since October 2000, he has been a Researcher with the Department of Electronics, Microelectronics, Computer and Intelligent Systems at the same faculty. He received the M.S. degree in 2004. As a co-author, he published several papers in international conference proceedings and a paper in a reviewed scientific journal. He is a Student Member of IEEE.     

Efficient multiple phase shift patterns for dense 3D acquisition in structured light scanning

Although phase shifts (PS) are frequently used to acquire colored surfaces of static objects, especially when acquisition time is not critical, the periodic nature of relative (wrapped) PS maps makes it necessary to deal with the issue of phase unwrapping. Consequently, multiple phase shifts (MPS) have been widely used as an alternative, but this usually involves a large number of different PS maps to unwrap an absolute (unique) phase. In this paper we propose a new MPS method to unwrap a phase and accurately perform the dense 3D acquisition of neutral and colored objects using only two PS maps. Accuracy is reported including a quantitative and qualitative evaluation of the results.