A Data-Driven Identification Procedure for HVAC Processes with Laboratory and Real-World Validation

Linear system identification is a well-known methodology for building mathematical models of dynamic systems from observed input–output data. It also represents an essential tool for model-based control design, adaptive control and other advanced control techniques. Use of linear identification is, however, often limited to academic environment and to research facilities equipped with scientific computing platforms and highly qualified staff. Common industrial or building control system technology rarely uses these advanced design techniques. The main obstacle is typically lack of experience with their practical implementation. In this article, a procedure is proposed, implemented, and tested, that brings the benefits of linear identification into broader control system practice. The open-source DCU control system platform with its advanced control framework is used for implementation of the proposed linear identification procedure. The procedure is experimentally tested in the laboratory setting using a unique model of HVAC system as well as in real-world environment in an experimental two storey family house. Testing this novel feature of the control system has proved satisfactory results, while some of them are presented in graphical and numerical form.

Metaphors and the Degree of Conventionality in Translation of Prose Fiction: A Fraction of the Whole in Focus

The idea of metaphor classification is regarded as how felicitously they are entrenched in everyday language spoken by ordinary people. Metaphor conventionality can be regarded as a scale whose opposite ends constitute conventional and creative metaphors. Logic indicates that the majority of linguistic metaphors are well-worn and conventional rather than novel, since an excess of novel metaphors may remarkably bring about “communicative surprise” (Rabadán Álvarez, 1991) thus increase cognitive processing time and even hinder perceiving. Metaphorical creativity, as the other extreme of the scale of conventionality, can be looked at as the use of conceptual metaphors and/ or their linguistic manifestations that are creative or novel. This study seeks to scrutinize the scale of conventionality in the Persian translation of A Fraction of the Whole. MIP known as Metaphor Identification Procedure put forward by the Pragglejaz Group (2007) was employed in the study to identify metaphors. The findings reveal that, sometimes, the metaphors used in L1 are novel or creative, but the translator draws upon conventional or entrenched ones in L2, or vice versa. The aim is to show the translator's choice of metaphor in terms of a conventionality scale using some previous cognitive models in this regard.

Identifying metaphors in TV commercials with FILMIP: the Filmic Metaphor Identification Procedure

The analysis and identification of figurative language is one of the largest research areas in cognitive linguistics, and metaphor is one of these tropes. Focusing on the genre of TV advertising, a structural method for the identification of metaphorical components used in films in a cross-modal fashion is developed in the present paper. A corpus of 11 TV commercials is analyzed under seven steps that guide analysts from the content description of the multimodal materials to the concrete identification of metaphorical elements. This research presents the Filmic Metaphor Identification Procedure (FILMIP, Bort-Mir 2019) as a tool for the identification of metaphorically used filmic components in multimodal filmic materials. More concretely, the paper presents the application of the procedure to two TV commercials from different perfume brands. FILMIP offers a valuable contribution not only to metaphor scholars but also to researchers focused on other fields of study such as multimodality, discourse analysis, communication, branding, or even film theory.

Studying effects of joint characteristics on the performance of a cantilever beam shaped piezoelectric energy harvester through joint identification

In energy harvesting systems, specifications of the generated electrical energy depend on the structure’s dynamics. This dependence can be used to identify the system’s joint characteristics. To this end, an innovative frequency-response-function (FRF) based identification method is presented. The investigated system is a cantilever beam shaped structure with an embedded bimorph piezoelectric bender, connected to a base via bolted joint as a depiction for wing of a UAV connected to fuselage. The implemented FRF is ratio of the piezoelectric output voltage to the base input displacement. The joint identification procedure consists of analytical modeling of the system with joint, experimental testing of the system and a real-coded Genetic Algorithm (GA) method. The joint is modeled as a combination of longitudinal and torsional springs, whose stiffnesses are obtained using the GA method. The obtained results indicate that the analytical model has good correlation with the experimental data. Then, effects of the joint characteristics on the energy harvester’s performance are investigated by comparison of the system with two different joint assumptions, namely, rigid and realistic joint. Finally, the effects of various joint characteristics on the energy harvester’s performance are presented and approaches to achieve the maximum performance of the system are suggested.

Final sizes and durations of new COVID-19 pandemic waves in Poland and Germany predicted by generalized SIR model

New waves of the COVID-19 pandemic in Europe, which began in the autumn of 2021, are a matter of great concern and the need to immediately predict the epidemic dynamics in order to assess the possible maximum values of new cases, the risk of infection and the number of deaths. The generalized SIR-model and corresponding parameter identification procedure was used to simulate and predict the dynamics of new epidemic waves in Poland and Germany. Results of calculations show that new cases in these countries will not stop to appear in 2022.

Metaphors in Indonesian Nature Tourism Discourse: Disclosing Cognition about Nature

Research about nature as an object of tourist gaze has been carried out to cover the relationship between nature, language, and tourists. Due to the increased tourists’ desire to have full commitment to enjoying nature, communicating what nature offers and revealing people’s behavior and concept about nature is, therefore, important. The concept of nature leading to ways to treat nature can be expressed in language, little, however, has been done to disclose how language shapes and conceptualizes nature, in particular in tourism discourse. This research aims at disclosing the concept of nature, which also reveals humans’ cognition about nature, constructed through metaphors in tourism discourse. Employing the theory of Conceptual Metaphor and the procedure of Metaphor Identification Procedure Vrije Universitet (MIPVU), this study analyzes metaphors in an online tourism magazine that describes Indonesian nature. In this study, the concepts of nature as heaven, a person, an object to be identified, and an entity are disclosed. The concept of nature as a person is the most frequently constructed notion. Comprehending this, as a result, can suggest ways how humans treat nature.

Experimental and Numerical Dynamic Identification of an Aerostatic Electro-Spindle

This paper proposes a method to experimentally identify the main modal parameters, i.e., natural frequencies and damping ratios, of an aerostatic spindle for printed board circuit drilling. A variety of methods is applied to the impulse-response function of the spindle in the presence of zero rotational speed and different supply pressures. Moreover, the paper describes the non-linear numerical model of the spindle, which consists of a four-degree-of-freedom (DOF) rigid and unsymmetrical rotor supported by two aerostatic bearings. The main goal of the work is to validate the developed non-linear numerical model through the proposed identification procedure and the performed experimental tests. The comparison proves satisfactory, and the possible sources of uncertainty are conjectured.

Final sizes and durations of new COVID-19 pandemic waves in Ukraine and around the world predicted by generalized SIR model

New waves of the COVID-19 pandemic in Ukraine, which began in the summer of 2021, and after holidays in the middle of October 2021, were characterized by almost exponential growth of smoothed daily numbers of new cases. This is a matter of great concern and the need to immediately predict the epidemic dynamics in order to assess the possible maximum values of new cases, the risk of infection and the number of deaths. The generalized SIR-model and corresponding parameter identification procedure was used to simulate and predict the dynamics of two new epidemic waves in Ukraine and one in the whole world. Results of calculations show that new cases in Ukraine will not stop to appear before November 2022. If the global situation with vaccination, testing and treatment will not change, the pandemic could continue for another ten years.

The effect of gender and language proficiency on the metaphor use in the writing of TEFL students

The ubiquitous nature of metaphor in everyday life and its significance in second language learning has triggered plethoric research on the relationship between metaphor and language learning. To contribute to the still growing literature, the current study explore the effect of learner variables, namely gender and proficiency, on metaphor use in TEFL students’ writing. To achieve that objective, 27 intermediate and 23 upper-intermediate Iranian TEFL students were asked to write on an IELTS Writing Task 2 topic. Fifty essays were analyzed for metaphor use through Metaphor Identification Procedure (Pragglejaz Group in Metaphor Symb 22(1):1–39, 2007) and Vehicle Identification Procedure (Cameron in Metaphor in educational discourse, Continuum, London, 2003). The data analyzed through t-test and multiple regression analysis revealed the advantage of upper-intermediate students over intermediate students concerning metaphor use in their writing. Gender, on the other hand, did not play an influential role in the students’ metaphor use. The findings of this research and the implications they might have for the field of English language teaching will be discussed.

Characterization of Woven Composite Material Properties by Using an Inverse Technique Based on Vibration Tests

A mixed numerical-experimental technique based on vibration tests is modified and applied to determine the elastic material properties of woven composites. This non-destructive technique consists of physical experiments, numerical modelling and material identification procedure. For the purpose of characterization, two carbon fiber panels were prepared by manual layout technology. An evaluation of the accuracy of woven composite elastic properties is executed comparing the numerical and experimentally obtained resonant frequencies.