Various joining methods are available for composite structures, with anticipated benefits for the most obvious way of exploiting the nature of thermoplastic materials: melting and reconsolidation. A proper joint selection and detailed design, however, will require quantitative results obtained in an objective and reproducible procedure. The objective of this paper was to develop benchmark proce...

This study proposes both replenishing type and leaking type valve-pump parallel controlled systems, and then establishes their mathematical principle models and simulated numerical models. Comparative analysis of performances and parameters of the pump controlled system and valve-pump parallel controlled system indicate that the proposed systems can respond faster with high efficiency than the ...

Background: temporal auditory processing is defined as the perception of sound or of sound alteration within a restricted time interval and is considered a fundamental ability for the auditory perception of verbal and non verbal sounds, for the perception of music, rhythm, periodicity and in the discrimination of pitch, duration and of phonemes. Aim: to compare the performance of normal Brazili...

In this paper we focus on the modeling and simulation of a distribution service network (DSN) for urban rail transit hub (URTH). Firstly, using the method of complex networks, the concept of DSN is proposed. Secondly, a model of DSN is formulated which consists of: i) a distribution entity topology network, ii) a distribution transport function network and iii) a distribution service function n...

The nature of clinical data makes it difficult to quickly select, tune and apply machine learning algorithms to clinical prognosis. As a result, a lot of time is spent searching for the most appropriate machine learning algorithms applicable in clinical prognosis that contains either binary-valued or multi-valued attributes. The study set out to identify and evaluate the performance of machine ...

Machine learning techniques have been used to address various problems and classification of documents is one of the main applications of such techniques. Opinion mining has emerged as an active research domain due to its wide range of applications such as multi-document summarization, opinion mining of documents and users’ reviews analysis improving answers of opinion questions in forums. Exis...

Performance testing is a standard practice for evolving systems to detect performance issues proactively. It samples various performance metrics that will be compared with a stable baseline to judge whether the measurement data is abnormal. This type of comparative analysis requires domain expertise, which can take experienced performance analysts days to conduct. In an effort to build an autom...

At this present scenario, the demand of the system capacity is very high in wireless network. MIMO technology is used from the last decade to provide this requirement for wireless network antenna technology. MIMO channels are mostly used for advanced antenna array technology. But it is most important to control the error rate with enhanced system capacity in MIMO for present-day progressive wir...

Performance evaluation of the Computer Systems has been a challenging task. Measurement of Worst Case Execution Time (WCET) is an important metrics for evaluating the performance of the Real Time Systems (RTSs). In this paper, we explore different methods used for WCET estimation. We mainly focus on three different techniques that are used for WCET estimation i.e. Static, Measurement-based, and...

This research starts from the work by Madonna and Cestari (2015) that aimed at assessing the usability of three bankruptcy prediction models applied in contexts other than the ones of their elaboration, in order to evaluate their generalizability and the possibility to apply them in wide-scale investigations. We took the cue from that study to assess the usability of four bankruptcy prediction ...