During the past few years, batch service systems have attracted considerable attention due to their wide area of applications. In this present paper, we study a special batch service polling system with priorities. Different from the previous papers which focus on the performance analysis, we aim to investigate the strategic behavior of customers and optimal design for the underlying queueing model. By considering two levels of information provided upon customers’ arrival, we, respectively, derive the equilibrium strategies of high-priority and low-priority (...) customers, regarding the joining or balking dilemma. We also present some numerical examples to reveal the impacts of several parameters on the equilibrium strategies, together with some intuitive explanations. Finally, we formulate the revenue function of the service provider and present the Particle Swarm Optimization algorithm to seek the optimal service prices for the high-priority and low-priority customers to maximize the service provider’s revenue under the two levels of information. (shrink)
Falls among the elderly comprise a major health problem. Daily activity monitoring and fall detection using wearable sensors provide an important healthcare system for elderly or frail individuals. We investigated the classification accuracy of daily activity and fall data based on surface electromyography and plantar pressure signals. sEMG and plantar pressure signals were collected, and their features were extracted. Suitable features were selected and combined for posture transition, gait, and fall using the Fisher class separability index. A feature-level fusion method, (...) named as the global canonical correlation analysis of weighting genetic algorithm, was proposed to reduce dimensions. For the problem in which the number of daily activities is considerably more than the number of fall activities, Weighted Kernel Fisher Linear Discriminant Analysis was proposed to classify gait and fall. Double Parameter Kernel Optimization based on Extreme Learning Machine was used to classify activities. Results showed that the classification accuracy of the posture transition is 100%, and the accuracy of gait and fall classified using WKFDA can reach 98%. For all types of posture transition, gait, and fall, sensitivity, specificity, and accuracy are over 96%. (shrink)
This paper investigates a fractional-order linear system in the frame of Atangana–Baleanu fractional derivative. First, we prove that some properties for the Caputo fractional derivative also hold in the sense of AB fractional derivative. Subsequently, several sufficient criteria to guarantee the finite-time stability and the finite-time boundedness for the system are derived. Finally, an example is presented to illustrate the validity of our main results.
To overcome the weakness of generic neural networks ensemble for prediction intervals construction, a novel Map-Reduce framework-based distributed NN ensemble consisting of several local Gaussian granular NN is proposed in this study. Each local network is weighted according to its contribution to the ensemble model. The weighted coefficient is estimated by evaluating the performance of the constructed PIs from each local network. A new evaluation principle is reported with the consideration of the predicting indices. To estimate the modelling uncertainty and (...) the data noise simultaneously, the Gaussian granular is introduced to the numeric NNs. The constructed PIs can then be calculated by the variance of output distribution of each local NN, i.e., the summation of the model uncertainty variance and the data noise variance. To verify the effectiveness of the proposed model, a series of prediction experiments, including two classical time series with additive noise and two industrial time series, are carried out here. The results indicate that the proposed distributed GGNNs ensemble exhibits a good performance for PIs construction. (shrink)
In general, stimuli that are familiar and recognizable have an advantage of predominance during binocular rivalry. Recent research has demonstrated that familiar and recognizable stimuli such as upright faces and words in a native language could break interocular suppression faster than their matched controls. In this study, a visible word prime was presented binocularly then replaced by a high-contrast dynamic noise pattern presented to one eye and either a semantically related or unrelated word was introduced to the other eye. We (...) measured how long it took for target words to break from suppression. To investigate word-parts priming, a second experiment also included word pairs that had overlapping subword fragments. Results from both experiments consistently show that semantically related words and words that shared subword fragments were faster to gain dominance compared to unrelated words, suggesting that words, even when interocularly suppressed and invisible, can benefit from semantic and subword priming. (shrink)
Direct soil measurements are limited to borehole locations and are therefore sparse in the oceans. To effectively characterize the soil distributions for the Chang-Bin offshore wind farm, which is an area with the greatest wind energy potential in the Taiwan Strait, we have developed a workflow to predict the soil distribution in the subsurface based on integrated analysis of seismic data and borehole data. First, we characterize the key seismic units and their seismic response in order to understand the regional (...) stratigraphy. Then, we correlate the soil types to each stratigraphic unit as the constraint for the input and quality control to train a neural network based on seismic multiattribute analysis. Finally, we develop a neural network that is suitable for soil prediction in the Chang-Bin offshore wind farm. Five seismic units identified from the seismic profiles reveal that the regional stratigraphy has been greatly affected by sea-level change and the sediment transportation process. Confirmed by independent in situ borehole data, the neural network is considered reliable up to 60 m below the seafloor, whereas decreased signal-to-noise ratios at greater depths lead to poorer prediction accuracy. Compared to previous studies that mainly are based on high-quality 3D seismic and well logging data, our method can predict the soil distribution by analyzing 2D seismic profiles and simplified soil layers alone. The prediction results reveal detailed lithologic variations that are tested by in situ borehole measurements. Therefore, we are confident that this approach could effectively obtain the soil distribution prediction and thus reduce the costs in offshore engineering applications. (shrink)
Die neue Buchreihe „Schriftstücke. Jahrbuch für Philosophie und Literaturwissenschaft“ bietet ein Forum sowohl für jüngere als auch für renommierte Wissenschaftler aus beiden Disziplinen. Die Texte widmen sich dem Verhältnis von Philosophie und Literatur in den vielfältigsten Formen. Dabei geht es z.B. um das historische Verhältnis von Philosophie und Literatur, den literarischen Charakter von Philosophie und den philosophischen Gehalt literarischer Texte. Das Jahrbuch möchte ein Ort sein, an dem sich verschiedene Stile und Perspektiven des wissenschaftlichen Argumentierens zwanglos begegnen können. Eine organische (...) Einheit soll sich aus den Beiträgen selbst ergeben, die durch ihre Offenheit für das Fachinteresse aus beiden disziplinären Bereichen gekennzeichnet sind. (shrink)
Mit seiner Summa Logicae, einer umfangreichen und systematischen Darstellung der aristotelischen Logik, gilt Ockham als einer der größten Logiker des Mittelalters. Dort entwickelt Ockham seine Modallogik zu einer systematischen Größe, die nicht zuletzt mittelalterliche Innovationen und Entdeckungen enthält, wie z.B. Gesetze modaler Aussagenlogik, die Aristoteles nicht kennt. In der vorliegenden Arbeit wird bemüht, solche Aspekte systematisch darzustellen. Der formale Teil der vorliegenden Untersuchung wird durch eine ausführliche semantische Analyse der Modalbegriffe bei Ockham ergänzt, die zeigen soll, wie Ockhams Modallogik mit (...) seiner Ontologie zusammenhängt. Dabei wird für die These argumentiert, daß hinsichtlich der Bedeutung der Modalbegriffe bei Ockham ein Pluralismus vorzufinden ist, der den Schlüssel zur Interpretation von Ockhams Lösung zu dem sogenannten Seeschlacht-Problem bietet, das seit Aristoteles Generationen von Philosophen und Interpreten beschäftigt und zu neuen Entwicklungen der Logik angeregt hat. (shrink)