DIGITAL INSTRUMENT READING RECOGNITION

An algorithm for recognizing digits from an image of a device with a digital indication as a tool of an automated workplace of a metrologist is considered.

A numerical study of vibration-induced instrument reading capability degradation in helicopter pilots

Rotorcraft suffer from relatively high vibratory levels, due to exposure to significant vibratory load levels originating from rotors. As a result, pilots are typically exposed to vibrations, which have non-negligible consequences. Among those, one important issue is the degradation of instrument reading, which is a result of complex human-machine interaction. Both involuntary acceleration of the eyes as a result of biodynamics and vibration of the instrument panel contribute to a likely reduction in instrument reading capability, affecting flight safety. Therefore, being able to estimate the expected level of degradation in visual performance may give substantial benefits during vehicle design, allowing to make necessary adjustments while there is room for design changes or when retrofitting an existing aircraft to ensure the modifications do not adversely affect visual acuity and instrument reading ability. For this purpose, simulation is a very valuable tool as a proper model helps to understand the aircraft characteristics before conducting flight tests. This work presents the assessment of vibration-induced visual degradation of helicopter pilots under vibration exposure using a modular analysis environment. Core elements of the suggested analysis framework are an aeroelastic model of the helicopter, a model of the seat-cushion subsystem, a detailed multibody model of the human biodynamics, and a simplified model of ocular dynamics. These elements are combined into a comprehensive, fully coupled model. The contribution of each element to instrument reading degradation is examined, after defining an appropriate figure of merit that includes both eye and instrument panel vibration, in application to a numerical model representative of a medium-weight helicopter.

Image-Based Automatic Watermeter Reading under Challenging Environments

With the rapid development of artificial intelligence and fifth-generation mobile network technologies, automatic instrument reading has become an increasingly important topic for intelligent sensors in smart cities. We propose a full pipeline to automatically read watermeters based on a single image, using deep learning methods to provide new technical support for an intelligent water meter reading. To handle the various challenging environments where watermeters reside, our pipeline disentangled the task into individual subtasks based on the structures of typical watermeters. These subtasks include component localization, orientation alignment, spatial layout guidance reading, and regression-based pointer reading. The devised algorithms for orientation alignment and spatial layout guidance are tailored to improve the robustness of our neural network. We also collect images of watermeters in real scenes and build a dataset for training and evaluation. Experimental results demonstrate the effectiveness of the proposed method even under challenging environments with varying lighting, occlusions, and different orientations. Thanks to the lightweight algorithms adopted in our pipeline, the system can be easily deployed and fully automated.

Instrument and Means interpretation of deverbal nominals: The role of ambiguous stative verbs in French VN compounding1

This article examines French Verb-Noun compounds with Means value (couvre-pied ‘blanket’, lit. cover-feet), derived from stative bases. It shows that they are generally ambiguous between Means and Instrument reading. The regularity of this double value discards an analysis relying on verbal homonymy, in favor of Rothmayr’s (2009) hypothesis of bi-eventive verbs. We assume that the presence of an agentive as well as a stative component in the verbal bases accounts for the double Means/Instrument value of the VNs studied here. We also examine “pure” Instrument VNs, available with similar verbal bases. We show that the distribution of the Instrument vs. Means/Instrument values relies on the state of the referent of the noun involved in the compound after the event described by the verbal base occurred. A permanent state entails a “pure” Instrument reading, whereas Means/Instrument reading obtains if the state of N is reversible (Fábregas & Marín 2012).

DEVELOPMENT OF CRITICAL THINKING TEST INSTRUMENT READING USING THE GRAPHIC ORGANIZER MEDIA

Critical thinking is sensible thinking that focuses on deciding what they should do. This research method uses the 4-D model proposed by Thiagarajan and Semmel with four stages consisting of define, design, development and disseminate. This study only evaluates validators in the value of test instruments with research results assessed by validators about the contents of critical thinking test instruments with an average of 87.5 in the very feasible category, while in the validation results the presentace of critical thinking assessment instruments with an average of 98% in the very feasible category. For this reason, it was concluded that the critical thinking test reading instrument with graphic organizer media was appropriate to be used to measure students' abilities in critical thinking.