The article deals with method of interaction between JavaScript objects of different web pages in hybrid java applications. To solve this problem, the WebView component is used, its functionality to ...provide an interface for JavaScript objects, as well as the SharedPreferences global settings class, with its ability to store data in local storage. The software implementation is considered and the results of the practical use of the developed method of interaction between JavaScript WebView objects in the form of a hybrid Java application embedded in the electronic university system – the Timetable SNU electronic timetable module are presented.
In recent years, researchers have paid more attention to the hybrid applications of quantum computing and brain-computer interfaces. With the development of neural technology and artificial ...intelligence, scientists have become more and more researching brain-computer interface, and the application of brain-computer interface technology to more fields has gradually become the focus of research. While the field of brain-computer interface has evolved rapidly over the past decades, the core technologies and innovative ideas behind seemingly unrelated brain-computer interface systems are rarely summarized from the point of integration with quantum. This paper provides a detailed report on the hybrid applications of quantum computing and brain-computer interface, indicates the current problems, and gives suggestions on the hybrid application research direction.
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•The hybrid deep learning network is proposed to detect code injection attacks.•New features are extracted from the abstract syntax tree of JavaScript.•Information Gain and Chi-square Test are used ...to select key features.•Our detection approach with HDLN achieves 97.60% in AUC, superior to other methods.
Mobile phones are becoming increasingly pervasive. Among them, HTML5-based hybrid applications are more and more popular because of their portability on different systems. However these applications suffer from code injection attacks. In this paper, we construct a novel deep learning network, Hybrid Deep Learning Network (HDLN), and use it to detect these attacks. At first, based on our previous work, we extract more features from Abstract Syntax Tree (AST) of JavaScript and employ three methods to select key features. Then we get the feature vectors and train HDLN to distinguish vulnerable applications from normal ones. Finally thorough experiments are done to validate our methods. The results show our detection approach with HDLN achieves 97.55% in accuracy and 97.60% in AUC, which outperforms those with other traditional classifiers and gets higher average precision than other detection methods.
Hybrid and full electric technologies are fast emerging in vehicles and mobile working machines, where electric machines and internal combustion engines are used together to power the systems. ...Permanent magnet (PM) technology plays an important role here despite the high magnet prices. This paper theoretically and empirically studies the design principles of PM synchronous machines (PMSMs) for hybrid applications, where a high starting torque and a wide field weakening range are needed. Several embedded-magnet PMSM magnetic circuit topologies are considered as possible candidates. A 10-kW PMSM prototype was built and tested. Experimental results verify the theoretical considerations well.
The mapping of soft real-time applications onto a heterogeneous MPSoC target architecture is of high importance for meeting deadlines and minimizing secondary objectives like the consumed energy on ...the platform. In particular, for applications with input-dependent workload variation, ham has crystallized itself as the state-of-the-art mapping approach that combines time-intensive design space exploration with lightweight run-time management. However, one general problem of ham is that the explored mappings and models are highly specific to a certain target architecture. If the architecture is modified or changed (e.g., due to hardware upgrades, downgrades, or architectural degradation), the design-time optimization has to be repeated once again, which might take up to multiple weeks. As a remedy, this paper proposes a two-fold mapping transfer methodology that speeds up the design-time optimization for a novel or modified target architecture based on the knowledge we gained from the optimization for the original source architecture. First, we describe a greedy mapping transfer heuristic that provides feasible mappings for the new architecture in negligible optimization time. Second, we present a mapping refinement heuristic that improves these mappings even further while needing only a fraction of the optimization time of state-of-the-art approaches. As we show in the evaluation section, our approach can drastically speed up the convergence of the optimization for the novel architecture even if the sizes of the original and novel target architecture or the characteristics of the used resources differ significantly. Note that our approach assumes that the source and target architectures are both tile-based NoC meshes.
•The regularities of the effect from various RANS models were obtained for the different sub-domains of PWR.•MRANS turbulence scheme was designed and successfully applied in the CFD simulation for ...PWR.•The transfer of turbulence parameters between anisotropic and isotropic RANS models was realized and analyzed.
Without efficiency, the CFD simulation of a reactor will not be affordable. However, numerous narrow flow channels with thousands of complex spacer grid exist in a typical pressurized water reactor (PWR) core. The huge burden in both computational resources and time is a key challenge. To realize a reduction of the computational burden, research on flow characteristics affected by RANS models and typical structures of PWR have been done. Based on the flow characteristics, a CFD scheme was designed by a hybrid application of multiple RANS models (MRANS). Different from the traditional turbulence scheme which just use one single RANS model, MRANS keeps the isotropic RANS models used in the major domains, and the anisotropic RANS modes used in the small local domains. After some validations, it was found that MRANS can successfully keep the accuracy and improve the computing efficiency by nearly two times. This superiority in efficiency could play an important role in the CFD simulation for a whole PWR.
Nearly half of Indonesia's population suffer from dehydration. THIRST Research (2009) proves that Indonesian still have a low awareness of drinking water. Consuming enough water can be a way to ...prevent dehydration. Smart Bottle application is able to provide amount of daily water needs based on user's profile that is registered. The problem in calculation of water consumption can be overcome by using Waterflow Sensor calculation data. The Implementation result of Smart Bottle application proves that the water needs of each person can be known, the water that has been consumed can be automatically calculated, and push notification can be a reminder about drinking water to the Smart Bottle users during their busy life. In this paper, hybrid application for android has been implemented using Ionic Framework and Laravel, then send notification using Firebase Cloud Messaging.
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