Infrared spectroradiometer for rocket exhaust analysis

Infrared spectroradiometer measures high-resolution spectral absorption, emission, temperature, and concentration of chemical species in radically symmetric zones of the exhaust plumes of large rocket engines undergoing static firing tests. Measurements are made along predetermined lines of sight through the plume

Controllability of distributed-parameter systems

Controllability of distributed-parameter control systems is mathematically studied. A general theory for control systems includes those that cannot be described by ordinary differential equations

“Yes, (s)he is pretty, but...” An investigation of the simultaneous impact of endorser characteristics relevant to purchasing behaviour

Objectives. Research on advertising efficiency states, that both the attractiveness of a model endorsing a product (Halliwell & Dittmar, 2004) as well as the extent of identification with this endorser (Felser, 2001) are relevant parameters of advertising effectiveness. Surprisingly, no research has simultaneously investigated the significance of attractiveness and identification with the endorser in the field of non-celebrity endorsement (e.g., typical product users), so far. Method and Results. Using an experimental between-subjects design (N = 480) endorser’s attractiveness and gender were manipulated in print advertisements for four different products. Including pivotal determinants of purchasing behaviour (e.g., impression on product quality) multiple regression analysis showed that identification but not attractiveness had a small but significant incremental predictive value on purchasing behaviour. Conclusion. A (potentially less attractive) non-celebrity endorser with whom consumers can identify themselves might be preferred in favour of an attractive one with whom consumers cannot identify themselves

Infrared spectral absorption coefficient data for water

Infrared spectral absorption coefficient data for water vapor over temperature range 575 to 1250 degrees K and pressures to 1 atmospher

Stochastic control system parameter identifiability

The parameter identification problem of general discrete time, nonlinear, multiple input/multiple output dynamic systems with Gaussian white distributed measurement errors is considered. The knowledge of the system parameterization was assumed to be known. Concepts of local parameter identifiability and local constrained maximum likelihood parameter identifiability were established. A set of sufficient conditions for the existence of a region of parameter identifiability was derived. A computation procedure employing interval arithmetic was provided for finding the regions of parameter identifiability. If the vector of the true parameters is locally constrained maximum likelihood (CML) identifiable, then with probability one, the vector of true parameters is a unique maximal point of the maximum likelihood function in the region of parameter identifiability and the constrained maximum likelihood estimation sequence will converge to the vector of true parameters

A study of parameter identification

A set of definitions for deterministic parameter identification ability were proposed. Deterministic parameter identificability properties are presented based on four system characteristics: direct parameter recoverability, properties of the system transfer function, properties of output distinguishability, and uniqueness properties of a quadratic cost functional. Stochastic parameter identifiability was defined in terms of the existence of an estimation sequence for the unknown parameters which is consistent in probability. Stochastic parameter identifiability properties are presented based on the following characteristics: convergence properties of the maximum likelihood estimate, properties of the joint probability density functions of the observations, and properties of the information matrix

Project-based learning: A practical approach to implementing Memsource in the classroom

[EN] Information technology has long become an integral part of today’s professional reality and given rise to new job profiles, in response to the changing requirements in many industries. Hence, the knowledge of languages for specific purposes as well as the acquisition of practical competences through project-based learning (PBL) have gained growing significance. Specialized communication skills, coupled with a multilingual professional competence, are a means to address the demands of our today's complex reality. Institutions of higher education more and more feel the urge to prepare their students to new professional challenges and a wide range of employment opportunities. This paper presents a PBL approach by implementing the Computer Aided Translation Tool Memsource in foreign language classes of the Master’s course “Languages and Business Relations” at the University of Aveiro. This innovative approach seeks to provide students with a multidisciplinary competence, increase their linguistic proficiency and actively involve them in the decision-making and problem-solving process. Keywords: higher education, Project-based learning (PBL), Computer Aided Translation Tool, Language teaching for specific purposesHerget, K. (2020). Project-based learning: A practical approach to implementing Memsource in the classroom. En 6th International Conference on Higher Education Advances (HEAd'20). Editorial Universitat Politècnica de València. (30-05-2020):717-724. https://doi.org/10.4995/HEAd20.2020.11133OCS71772430-05-202

Predictive Models for Type 1 Diabetes. A Case Study

Linear models were identified from glucose-insulin data of a type 1 diabetic patient. The models were used for simulation and prediction with 10, 30, 60, 90 and 120 min prediction horizon. The predictions were able to track the measured blood glucose, at least for the lower prediction horizons, so that hypo-and hyperglycemic events can be prognosed. The best predictions were achieved with ARX and ARMAX models, predictions for the subspace-based models were not as good as for the autoregressive models. Later a minimum variance controller was developed with an ARMAX model that was identified before. The controller could reduce the variance of the blood glucose concentration as well as eliminate hyperglycemic events. However it introduced the risk for hypoglycemia, which means that there is still some effort to be done. Linear models were identified from glucose-insulin data of a type 1 diabetic patient. The models were used for simulation and prediction with 10, 30, 60, 90 and 120 min prediction horizon. The predictions were able to track the measured blood glucose, at least for the lower prediction horizons, so that hypo-and hyperglycemic events can be prognosed. The best predictions were achieved with ARX and ARMAX models, predictions for the subspace-based models were not as good as for the autoregressive models. Later a minimum variance controller was developed with an ARMAX model that was identified before. The controller could reduce the variance of the blood glucose concentration as well as eliminate hyperglycemic events. However it introduced the risk for hypoglycemia, which means that there is still some effort to be done

The changing world of data

The presentation shows how the open data and the open access can offer multiple services to the scietific community, through the differents uses the scientist can do with these data

Post-editing Machine Translation in MateCat: a classroom experiment

[EN] Advances in machine translation resulted in an increase of both volume and quality of machine-translated texts. However, machine translation still requires humans to post-edit the translation. This paper proposes a product-based approach of a post-editing (PE) experiment that was carried out with a total of 10 MA translation students. The goal of this study comprised both the analysis of the post-editing results performed by student translators involving a machine-translated text in MateCat and the subsequent error markup. By comparing the quality reports obtained at the end of the post-editing process, we analysed the linguistic quality results and observed a heterogeneous error distribution, considerable divergence in severity level ratings and a huge span of TTE (time to edit). This study aims at making a contribution to the integration of post-editing activities into the translation technology classroom for students without prior experience in PE.The author would like to thank the MA students who participated in this experiment for their time and feedback.Herget, K. (2021). Post-editing Machine Translation in MateCat: a classroom experiment. En 7th International Conference on Higher Education Advances (HEAd'21). Editorial Universitat Politècnica de València. 1003-1009. https://doi.org/10.4995/HEAd21.2021.12789OCS1003100