Zoekresultaten

Light conditions for older adults in the nursing home: Assessment of environmental illuminances and colour temperature

Over 40% of nursing home residents in the Netherlands are estimated to have visual impairments. In this study, light conditions in Dutch nursing homes were assessed in terms of horizontal and vertical illuminances and colour temperature. Results showed that in the seven nursing homes vertical illuminances in common rooms fell significantly below the 750 lx reference value in at least 65% of the measurements. Horizontal illuminance measurements in common rooms showed a similar pattern. At least 55% of the measurements were below the 750 lx threshold. The number of measurements at the window zone was significantly higher than the threshold level of 750 lx. Illuminances in the corridors fell significantly below the 200 lx threshold in at least three quarters of the measurements in six of the seven nursing homes. The colour temperature of light fell significantly below the reference value for daylight of 5000 K with median scores of 3400 to 4500 K. A significant difference in colour temperature was found between recently constructed nursing homes and some older homes. Lighting conditions of the examined nursing homes were poor. With these data, nursing home staff have the means to improve the lighting conditions, for instance, by encouraging residents to be seated next to a window when performing a task or during meals.

Shine a light

Purpose: The purpose of this paper is to report the grounded theory empirical validation on key categories within a design-led methodology to envision urban futures. The paper focuses on the editorial products and the design concepts that constitute the heart of the approach. An original elaboration of trend clusters is presented as an exemplification of the outcome of this trend research approach. Although the approach was not created from the viewpoint of tourism and leisure, bibliographic notes on place-making complement it for this journal. Design/methodology/approach: The paper presents empirical findings extracted by the means of the grounded theory, with the purpose to empirically validate two key categories (product and process) of a urban futures methodology. The methodology is an application of High Design, the process in use at Royal Philips BV for two decades. This methodology is contextualized within the constructivist episteme, as defined by the editors of this journal in a separate publication. Bibliographic references to place-making complete the paper. Findings: The following findings are provided: empirical validation of the city.people.light communication platform (qualitative research); empirical validation of the city.people.light workshop practice (qualitative research); and bibliographic descriptions of the design process governing city.people.light and newly developed urban futures trend clusters, at European level, as an exemplification of the program/approach outcome. Research limitations/implications: The paper is structured according to a multi-layered editorial focus. Empirical findings were generated at primary research level in a 2013-2015 grounded theory projected by the author. Furthermore, the author directed the research processes and products that are the object of empirical validation. Newly defined elaborations and a discussion thereof is offered, taking into account contemporary place-making issues. Practical implications: The original design-based methodology is a structured practice in urban futures from applied sciences and corporate innovation viewpoint. In this paper, its key categories are empirically validated through the grounded theory. Additionally, outcome from the original foresight programs is presented and a bibliographic review is provided from the viewpoint of place-making. Social implications: The co-creative methodology herein empirically validated is socio-cultural centered, with a strong drive to coutnerbalance the positivist and engineering corporate mindset through a humanistic concern for people. The framework in terms of place-making takes into account postmodern evolutions of the field. Originality/value: The paper benefits from a unique mix of: epistemic note on tourism, leisure, and the future; original urban futures scenarios and design concepts from a world class corporate innovation program; and the actual empirical core of the grounded theory validation as performed in a dedicated research project. These three separate streams are mutually related.

Intelligent light therapy for older adults: ambient assisted living

Gas sensing performance at room temperature of nanogap interdigitated electrodes for detection of acetone at low concentration

From the article: "A facile approach for the fabrication of large-scale interdigitated nanogap electrodes (nanogap IDEs) with a controllable gap was demonstrated with conventional micro-fabrication technology to develop chemocapacitors for gas sensing applications. In this work, interdigitated nanogap electrodes (nanogap IDEs) with gaps from 50–250 nm have been designed and processed at full wafer-scale. These nanogap IDEs were then coated with poly(4-vinyl phenol) as a sensitive layer to form gas sensors for acetone detection at low concentrations. These acetone sensors showed excellent sensing performance with a dynamic range from 1000 ppm to 10 ppm of acetone at room temperature and the observed results are compared with conventional interdigitated microelectrodes according to our previous work. Sensitivity and reproducibility of devices are discussed in detail. Our approach of fabrication of nanogap IDEs together with a simple coating method to apply the sensing layer opens up possibilities to create various nanogap devices in a cost-effective manner for gas sensing applications"

Legibility as a Design Principle

This paper introduces the design principle of legibility as means to examine the epistemic and ethical conditions of sensing technologies. Emerging sensing technologies create new possibilities regarding what to measure, as well as how to analyze, interpret, and communicate said measurements. In doing so, they create ethical challenges for designers to navigate, specifically how the interpretation and communication of complex data affect moral values such as (user) autonomy. Contemporary sensing technologies require layers of mediation and exposition to render what they sense as intelligible and constructive to the end user, which is a value-laden design act. Legibility is positioned as both an evaluative lens and a design criterion, making it complimentary to existing frameworks such as value sensitive design. To concretize the notion of legibility, and understand how it could be utilized in both evaluative and anticipatory contexts, the case study of a vest embedded with sensors and an accompanying app for patients with chronic obstructive pulmonary disease is analyzed.

Machine Learning Method and Visible Light-Based Sensors for Multiinterface Level Measurement

In this work, a feasible and low-cost approach is proposed for level measurement in multiphase systems inside tanks used for petroleum-derived oil production. The developed level sensor system consisted of light-emitting diodes (LEDs), light-dependent resistor (LDR), and a low-cost microprocessor. Two different types of oil were tested: AW460 and AW68. Linear regression (LR) was applied for 11 scenarios and showed a direct correlation between the level of oil and the sensor’s output. The measurement with AW460 oil presented a perfect linear behavior, while for AW68, a higher standard deviation was obtained justifying the occurrence of the nonlinearity in several scenarios. In order to overcome the nonlinear effect, two machine learning (ML) techniques were tested: K-nearest neighbors regression (KNNR) and multilayer perceptron (MLP) neural network regression. The highest correlation coefficient ( R2 ) and the lowest root mean squared error (RMSE) were obtained for AW68 with MLP. Therefore, MLP was used for regression (level prediction for water, oil, and emulsion) as well as classification (identify the type of oil in the reservoir) simultaneously. The suggested network exhibited a high accuracy for oil identification (99.801%) and improved linear performance in regression ( R2 = 0.9989 and RMSE = 0.065).