1,214 research outputs found
Predit: A temporal predictive framework for scheduling systems
Scheduling can be formalized as a Constraint Satisfaction Problem (CSP). Within this framework activities belonging to a plan are interconnected via temporal constraints that account for slack among them. Temporal representation must include methods for constraints propagation and provide a logic for symbolic and numerical deductions. In this paper we describe a support framework for opportunistic reasoning in constraint directed scheduling. In order to focus the attention of an incremental scheduler on critical problem aspects, some discrete temporal indexes are presented. They are also useful for the prediction of the degree of resources contention. The predictive method expressed through our indexes can be seen as a Knowledge Source for an opportunistic scheduler with a blackboard architecture
Gate tunability of stray-field-induced electron spin precession in a GaAs/InGaAs quantum well below an interdigitated magnetized Fe grating
Time-resolved Faraday rotation is used to measure the coherent electron spin
precession in a GaAs/InGaAs quantum well below an interdigitated magnetized Fe
grating. We show that the electron spin precession frequency can be modified by
applying a gate voltage of opposite polarity to neighboring bars. A tunability
of the precession frequency of 0.5 GHz/V has been observed. Modulating the gate
potential with a gigahertz frequency allows the electron spin precession to be
controlled on a nanosecond timescale
Two-dimensional imaging of the spin-orbit effective magnetic field
We report on spatially resolved measurements of the spin-orbit effective
magnetic field in a GaAs/InGaAs quantum-well. Biased gate electrodes lead to an
electric-field distribution in which the quantum-well electrons move according
to the local orientation and magnitude of the electric field. This motion
induces Rashba and Dresselhaus effective magnetic fields. The projection of the
sum of these fields onto an external magnetic field is monitored locally by
measuring the electron spin-precession frequency using time-resolved Faraday
rotation. A comparison with simulations shows good agreement with the
experimental data.Comment: 6 pages, 4 figure
Aplikasi Pengaturan Antrian (Studi Kasus: Customer Service Plasa Telkom Makassar)
Customer Service is one of the important things for the company these days. That’s why PT. Telkom presented Plasa Telkom as a bridge between the company and its customer. But there’s a problem, which is queue process is still conventional and not in order. This application can solve that problem. It has features, such as arranging queue number, queue registration, calling customer with certain queue number and showing which table who calling the customer, showing customer data, showing customer service official data, showing customer service report, showing and changing customer service official data, showing and changing supervisor data, showing and changing administrator data. The result can help queue arranging process. This application could used for other company which have multi channel single phase queue, having more than one service, having unlimited queue total, and used for customer service department. For example are banks and health clinics. Some adaptations may be needed by other companies
Optimized stray-field-induced enhancement of the electron spin precession by buried Fe gates
The magnetic stray field from Fe gates is used to modify the spin precession
frequency of InGaAs/GaAs quantum-well electrons in an external magnetic field.
By using an etching process to position the gates directly in the plane of the
quantum well, the stray-field influence on the spin precession increases
significantly compared with results from previous studies with top-gated
structures. In line with numerical simulations, the stray-field-induced
precession frequency increases as the gap between the ferromagnetic gates is
reduced. The inhomogeneous stray field leads to additional spin dephasing.Comment: 4 pages, 2 figure
Social norms and e-motions in problematic social media use among adolescents
© 2020 The Authors Introduction: Being constantly connected on social media is a “way of being” among adolescents. However, social media use can become “problematic” for some users and only a few studies have explored the concurrent contribution of social context and emotion regulation to problematic social media use. The current study aimed to test: (i) the influence of friends (i.e., their social media use and group norms about social media use); and (ii) the effects of difficulties in emotion regulation and so-called “e-motions” on adolescents’ problematic social media use. Methods: A cross-sectional study was conducted in Italian secondary schools. An online questionnaire was administered to 761 adolescents (44.5% females; Mage = 15.49 years; SDage = 1.03). Results: Path analysis showed that social norms were directly associated with problematic social media use and friends’ social media use was associated with the frequency of social media use, which, in turn, was associated with problematic use. Difficulties in emotion regulation were directly and indirectly linked to problematic social media use via frequency of use and facilitating use of e-motions. Conclusions: These findings provide support for the importance of both peer influence and emotion regulation in this context. Social norms and emotion regulation should be considered in prevention programs addressing problematic social media use in adolescents
Semanticizing syntactic patterns in NLP processing using SPARQL-DL queries
Some recent works on natural language semantic parsing make use of syntax and semantics together using different combination models. In our work we attempt to use SPARQL-DL as an interface between syntactic information given by the Stanford statistical parser (namely part-of-speech tagged text and typed dependency representation) and semantic information obtained from the FrameNet database. We use SPARQL-DL queries to check the presence of syntactic patterns within a sentence and identify their role as frame elements. The choice of SPARQL-DL is due to its usage as a common reference language for semantic applications and its high expressivity, which let rules to be generalized exploiting the inference capabilities of the underlying reasoner
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