A new touch temperature of the event horizon and Rindler horizon in the Kinnersley spacetime

The Kinnersley spacetime not only describes a non-spherical symmetric, non-stationary and accelerating black hole, but also can be used to explore the characteristics of collision of two black holes because it has two horizons: the Rindler horizon and the event horizon. Previous research shows Rindler horizon and the event horizon cannot touch due to violation of the third law of thermodynamics. By solving a fermion dynamical equation including the Lorentz dispersion relation, we obtain a modified radiation temperature at the event horizon of the black hole, as well as the colliding temperature at the touch point of Rindler horizon and the event horizon. We find the temperature at the touch point is not equal to zero if $${\dot{r}}_H\ne 0$$ r ˙ H ≠ 0 . This result indicates that the event horizon and Rindler horizon can collide without violation of the third law of thermodynamics when Lorentz dispersion relation is considered.

Computing Touch-Point Ambiguity on Mobile Touchscreens for Modeling Target Selection Times

Finger-Fitts law (FFitts law) is a model to predict touch-pointing times, modified from Fitts' law. It considers the absolute touch-point precision, or a finger tremor factor σa, to decrease the admissible target area and thus increase the task difficulty. Among choices such as running an independent task or performing parameter optimization, there is no consensus on the best methodology to measure σa. This inconsistency could be detrimental to HCI studies such as pointing technique evaluations and user group comparisons. By integrating the results of our 1D and 2D touch-pointing experiments and reanalyses of previous studies' data, we examined the advantages and disadvantages of each approach to compute σa. We found that the parameter optimization method is a suboptimal choice for predicting the performance.

The smart pill sticker: Introducing a smart pill management system based on touch-point technology

Older adults tend to suffer from multi-morbidity, requiring complex treatment methodologies demanding poly-pharmacy. The increasing medication usage can tend towards the mismanagement of prescriptions and irregular or faulty administration. Thus, there arises an urgent need for a proper pill management system for these prescribed medicines. To tackle this grave concern, we propose a mobile, cost-effective, robust, and easy to use solution involving the extension to the human body-smartphones and conductive stickers. The technology utilizes a unique combination of touch-points on the smartphone screen to recognize the medication and give information regarding the proper usage and dosage and gives a reminder of the intake of the medicine. Our tool is comprised of two components—(1) the conductive ink stickers containing a unique combination of conductive inks to be applied to the pill container and (2) the mobile application utilizing touch-points generated by the conductive ink sticker to give information of the corresponding medicine. The following functionalities could be performed by the application-detection of pill container: providing essential information about pill container and dosage; keeping a count of pills already taken, to be taken and remaining pills; reordering the medication and reminding about the medicine intake at the correct designated time.

Algorithm for adapting the clutch of robotic transmissions of commercial vehicles in the light commercial vehicles and light-duty trucks class

In the modern world, the main efforts of developers of commercial vehicles are aimed at increasing the economic efficiency of using cars, reducing the negative impact on the environment and increasing the level of safety, both passive and active. The use of automatic transmissions allows the engine to work in the most optimal modes, and the driver to concentrate on monitoring the traffic situation and not be distracted by gear shifting. In commercial vehicles, robotic mechanical transmissions have become widespread. In such a transmission, the clutch and gear selection are controlled by actuators controlled by an electronic unit. Dry clutches are common in commercial vehicle transmissions. For adequate control of the clutch, it is necessary to have its high-quality model, which takes into account the coefficient of friction, touch point, the effect of temperature and many other factors. Therefore, the actual problem in the control of such transmissions is to determine the touch point of the clutch, which can serve as the main source of uncertainty in the clutch model along with the coefficient of friction. This article proposes an adaptation method for assessing the clutch touch point in real time. This approach has been applied to dry clutch control in transmissions of LCV and LDT vehicles, and the results are experimentally validated on robotic transmissions in production vehicles.

Framing the customer journey: touch point categories and decision-making process stages

PurposeThis paper aims to define and frame the understanding of customer journeys, associated areas of consumer decision-making process stages and touch point categories based on an ownership perspective.Design/methodology/approachThe research is based on a detailed literature review of customer journeys, in peer-reviewed marketing and retail journals, within the last decade. The Chartered Association of Business Schools (ABS) academic journal guide marketing discipline list was used because it only includes peer-reviewed journals, based on an internationally accepted quality ranked list.FindingsThe detailed analysis of the journals identified three groups of touch points (brand owned, partner owned/managed and outside the control of brand owner/partner) and three decision-making process stages (pre-purchase, purchase and post–purchase) that informed a clearer definition and understanding of the customer journey.Research limitations/implicationsLimitations concern the ABS database was used and a ten-year date period was selected, which may exclude some relevant journal articles, particularly those written in a language other than English.Originality/valueThe authors have provided a revised definition of customer journey, clarified the decision-making stages and subsequent categorisation of touch points from an ownership perspective.

Predicting Next Touch Point In A Customer Journey: A Use Case In Telecommunication

Customer journey analysis is rapidly increasing in popularity, as it is essential for companies to understand how their customers think and behave. Recent studies investigate how customers traverse their journeys and how they can be improved for the future. However, those researches only focus on improving the process for future customers by analyzing the historical data. This research focuses on helping the current customer immediately, by analyzing if it is possible to predict what the customer will do next and accordingly take proactive steps. We propose a model to predict the customer's next contact type (touch point). At first we will analyze the customer journey data by applying process mining techniques. We will use these insights then together with the historical data of accumulated customer journeys to train several classifiers. The winning of those classifiers, namely XGBoost, is used to perform a prediction on a customer's journey while the journey is still active. We show on three different real datasets coming from interactions between a telecommunication company and its customers that we always beat a baseline classifier thanks to our thorough pre-processing of the data.