Primjena IC termografije za određivanje geometrije istrujnog mlaza u KGHV sustavima

A properly designed room air diffusion scheme ensures that when conditioned air is supplied into a room, it causes no discomfort to the occupants. To confirm the design characteristic of an air diffusion arrangement a measurement of different parameters of air movement pattern like jet geometry, air temperature and velocity or humidity must be done. IR thermography can be successfully applied for quick determination of the air jet geometry, not only for new and existing systems, but also in the design phase of air inlets and outlets. The paper presents the possibilities for the determination of jet geometry, radius and spread by means of IR thermography.Ispravno projektiran sustav za distribuciju zraka u prostoriji osigurava stanje ugode osobama koji u njoj borave. Da bi se potvrdili parametri koji karakteriziraju tu distribuciju, potrebno je izvršiti određena mjerenja poput geometrije mlaza, temperature, brzine i vlažnosti zraka koji se ubacuje u prostor. IC termografija se može uspješno primijeniti ne samo za brzo određivanje mlaza kod novih i postojećih sustava već i kod konstruiranja usisnih i odsisnih elemenata. Radom su prikazane mogućnosti određivanja geometrije mlaza kao što su domet i širina upotrebom IC termografije

Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time

Dynamic topic modeling facilitates the identification of topical trends over time in temporal collections of unstructured documents. We introduce a novel unsupervised neural dynamic topic model named as Recurrent Neural Network-Replicated Softmax Model (RNNRSM), where the discovered topics at each time influence the topic discovery in the subsequent time steps. We account for the temporal ordering of documents by explicitly modeling a joint distribution of latent topical dependencies over time, using distributional estimators with temporal recurrent connections. Applying RNN-RSM to 19 years of articles on NLP research, we demonstrate that compared to state-of-the art topic models, RNNRSM shows better generalization, topic interpretation, evolution and trends. We also introduce a metric (named as SPAN) to quantify the capability of dynamic topic model to capture word evolution in topics over time.Comment: In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018

Ninety Years of the Faculty of Mechanical Engineering and Naval Architecture of the University of Zagreb

U članku je ukratko prikazana povijest Fakulteta strojarstva i brodogradnje Sveučilišta u Zagrebu od osnutka Kraljevske visoke tehničke škole 1919. godine. Prikazana su razvojna razdoblja, današnja organizacijska struktura i nastavni program te osvrt na ulogu Fakulteta u osnutku i razvoju sličnih ustanova u Hrvatskoj.The article shows a short history of the Faculty of Mechanical Engineering and Naval Architecture of the University of Zagreb starting with the founding of the Royal High Technical School in 1919. The development phases are presented along with the present organizational structure and curriculum scheme. The role of the Faculty in the founding and development of similar institutions in Croatia is also described

Neural Relation Extraction Within and Across Sentence Boundaries

Past work in relation extraction mostly focuses on binary relation between entity pairs within single sentence. Recently, the NLP community has gained interest in relation extraction in entity pairs spanning multiple sentences. In this paper, we propose a novel architecture for this task: inter-sentential dependency-based neural networks (iDepNN). iDepNN models the shortest and augmented dependency paths via recurrent and recursive neural networks to extract relationships within (intra-) and across (inter-) sentence boundaries. Compared to SVM and neural network baselines, iDepNN is more robust to false positives in relationships spanning sentences. We evaluate our models on four datasets from newswire (MUC6) and medical (BioNLP shared task) domains that achieve state-of-the-art performance and show a better balance in precision and recall for inter-sentential relationships. We perform better than 11 teams participating in the BioNLP shared task 2016 and achieve a gain of 5.2% (0.587 vs 0.558) in F1 over the winning team. We also release the crosssentence annotations for MUC6.Comment: AAAI201

Convective–reactive nucleosynthesis of K, Sc, Cl and p-process isotopes in O–C shell mergers

© 2017 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society. We address the deficiency of odd-Z elements P, Cl, K and Sc in Galactic chemical evolution models through an investigation of the nucleosynthesis of interacting convective O and C shells in massive stars. 3D hydrodynamic simulations of O-shell convection with moderate C-ingestion rates show no dramatic deviation from spherical symmetry. We derive a spherically averaged diffusion coefficient for 1D nucleosynthesis simulations, which show that such convective-reactive ingestion events can be a production site for P, Cl, K and Sc. An entrainment rate of 10-3M⊙s-1features overproduction factors OPs≈ 7. Full O-C shell mergers in our 1D stellar evolution massive star models have overproduction factors OPm> 1 dex but for such cases 3D hydrodynamic simulations suggest deviations from spherical symmetry. γ - process species can be produced with overproduction factors of OPm> 1 dex, for example, for130, 132Ba. Using the uncertain prediction of the 15M⊙, Z = 0.02 massive star model (OPm≈ 15) as representative for merger or entrainment convective-reactive events involving O- and C-burning shells, and assume that such events occur in more than 50 per cent of all stars, our chemical evolution models reproduce the observed Galactic trends of the odd-Z elements

The Role of Organizational Capacity in Student-Athlete Development

In-depth interviews were conducted with the life skills coordinators of 9 of 21 institutions identified as being “dedicated” to service (Andrassy & Bruening, 2011). As a result of service being one portion of CHAMPS/Life Skills programming, we expanded our investigation to include all aspects of this student development program. In particular, we focused our inquiry on organizational capacity and its role in student involvement. Findings indicate these ‘dedicated’ athletic departments were characterized by strong organizational capacity for engaging student-athletes in meaningful service efforts. The critical role of coaches and mutual values among internal stakeholders emerged as the primary strengths of department’s human resources capacity. Despite the limited financial capacity, departments were able to creatively secure some funding for development programs. The ability to leverage external relationships, an organizational culture promoting participative decision-making and student-athlete development, and on-going efforts to improve service and life skills opportunities for student-athletes indicated strong structural capacity