Search results for "Flow"
showing 10 items of 5185 documents
Voice traffic bicasting enhancements in mobile HSPA network
2014
This paper discusses methods for improving the effectiveness of delivering voice traffic over High-Speed Downlink Packet Access (HSDPA) network by employing transmission diversity with Single-Frequency Dual-Cell (SF-DC) Aggregation that is part of the Multiflow specification. SF-DC Aggregation allows the user to be served at the same time by two different cells. The enhancements discussed in the paper capitalize strongly on the availability of the composed Channel Quality Indication (CQI) feedback at both serving cells. According to the results obtained from the network simulations, the ability to select the better channel for each voice transmission significantly decreases the required tra…
A Network-Based Framework for Mobile Threat Detection
2018
Mobile malware attacks increased three folds in the past few years and continued to expand with the growing number of mobile users. Adversary uses a variety of evasion techniques to avoid detection by traditional systems, which increase the diversity of malicious applications. Thus, there is a need for an intelligent system that copes with this issue. This paper proposes a machine learning (ML) based framework to counter rapid evolution of mobile threats. This model is based on flow-based features, that will work on the network side. This model is designed with adversarial input in mind. The model uses 40 timebased network flow features, extracted from the real-time traffic of malicious and…
In-Flow Peer Review
2014
Peer-review is a valuable tool that helps both the reviewee, who receives feedback about his work, and the reviewer, who sees different potential solutions and improves her ability to critique work. In-flow peer-review (IFPR) is peer-review done while an assignment is in progress. Peer-review done during this time is likely to result in greater motivation for both reviewer and reviewee. This workinggroup report summarizes IFPR and discusses numerous dimensions of the process, each of which alleviates some problems while raising associated concerns.
Introduction to Integrating Knowledge and Learning Processes Minitrack
2013
This minitrack discusses knowledge management (KM) from an integrated perspective, i.e., the integration of KM, learning, and business processes. It mainly focuses on two issues: a) how can knowledge, learning and business processes integrated, and b) how can the related systems be integrated to enable an efficient workflow. Currently, even less learning environments take context and environment into account. Using mobile and ubiquitous technologies can lead to a paradigm shift in the construction of such learning environments: from static to highly contextualized knowledge and learning experiences. Based on the integration of knowledge and learning systems into social networks and social m…
BioImageXD: an open, general-purpose and high-throughput image-processing platform
2012
BioImageXD puts open-source computer science tools for three-dimensional visualization and analysis into the hands of all researchers, through a user-friendly graphical interface tuned to the needs of biologists. BioImageXD has no restrictive licenses or undisclosed algorithms and enables publication of precise, reproducible and modifiable workflows. It allows simple construction of processing pipelines and should enable biologists to perform challenging analyses of complex processes. We demonstrate its performance in a study of integrin clustering in response to selected inhibitors.
Automatic dynamic texture segmentation using local descriptors and optical flow
2012
A dynamic texture (DT) is an extension of the texture to the temporal domain. How to segment a DT is a challenging problem. In this paper, we address the problem of segmenting a DT into disjoint regions. A DT might be different from its spatial mode (i.e., appearance) and/or temporal mode (i.e., motion field). To this end, we develop a framework based on the appearance and motion modes. For the appearance mode, we use a new local spatial texture descriptor to describe the spatial mode of the DT; for the motion mode, we use the optical flow and the local temporal texture descriptor to represent the temporal variations of the DT. In addition, for the optical flow, we use the histogram of orie…
High-Performance Lead-Acid Batteries Enabled by Pb and PbO2 Nanostructured Electrodes: Effect of Operating Temperature
2021
Lead-acid batteries are now widely used for energy storage, as result of an established and reliable technology. In the last decade, several studies have been carried out to improve the performance of this type of batteries, with the main objective to replace the conventional plates with innovative electrodes with improved stability, increased capacity and a larger active surface. Such studies ultimately aim to improve the kinetics of electrochemical conversion reactions at the electrode-solution interface and to guarantee a good electrical continuity during the repeated charge/discharge cycles. To achieve these objectives, our contribution focuses on the employment of nanostructured electr…
Veselības apdrošināšanas atlīdzību pieteikumu attēlu informācijas apstrāde, izmantojot dziļos neironu tīklus
2018
Pieaugot pakalpojumu kvalitātes standartiem, uzņēmumi aizvien biežāk aplūko procesu uzlabošanas iespējas. Dziļo neironu tīklu risinājumu rīki paliek aizvien pieejamāki, bet cik vienkārši ir iekļaut šādas tehnoloģijas konkrēta procesa apstrāde? Lai atbildētu uz šo jautājumu, tika izvirzīts mērķis aplūkot konkrēta procesa automatizācijas iespējas, pieejamos atvērtā koda rīkus un identificēt iespējamos sarežģījumus. Darba ietvaros tika analizēts zaudējumu pieteikumu process un pētītas tā automatizācijas iespējas. Tika izveidotas vairākas datu kopas, aplūkota dokumentu lokalizēšana attēlos un izveidots risinājums, kas veiksmīgi lokalizē populārākos pieteikumu dokumentu veidus, kā arī tika anali…
Transportlīdzekļu apdrošināšanas atlīdzību prognozēšana izmantojot dziļos neironu tīklus
2019
Lai apdrošināšanas produkti darbotos veiksmīgi, viens no būtiskākajiem faktoriem ir apdrošināšana risku izvērtēšana. Viena no risku izvērtēšanas sastāvdaļām ir iespējamo apdrošināšanas atlīdzības apmēra prognozēšana, balstoties gan uz apdrošinātā objekta raksturlielumiem, gan klienta parametriem un vēsturi. Šajā darbā tika apskatītas dziļo neironu tīklu tehnoloģiju pielietojums apdrošināšanas atlīdzību summu novērtēšanā un balstoties uz transportlīdzekļu apdrošināšanas atlīdzību datiem, tika izveidots un apmācīts dziļo neironu tīkla modelis. Tika izveidots risinājums, ar kura palīdzību var prognozēt apdrošināšanas atlīdzību rezervju lielumu nākamajiem periodiem, izmantojot klienta un apdroš…