Search results for "computer.software_genre"
showing 10 items of 3858 documents
Hypervisor memory acquisition for ARM
2021
Abstract Cyber forensics use memory acquisition in advanced forensics and malware analysis. We propose a hypervisor based memory acquisition tool. Our implementation extends the volatility memory forensics framework by reducing the processor's consumption, solves the in-coherency problem in the memory snapshots and mitigates the pressure of the acquisition on the network and the disk. We provide benchmarks and evaluation.
<title>Managing compressed multimedia data in a memory hierarchy: fundamental issues and basic solutions</title>
1998
The purpose of the work is to discuss the fundamental issues and solutions in managing compressed and uncompressed multimedia data, especially voluminous continuous mediatypes (video, audio) and text in a memory hierarchy with four levels (main memory, magnetic disk, (optical or magnetic) on-line/near-line low-speed memory, and slow off-line memory, i.e. archive). We view the multimedia data in such a database to be generated, (compressed), and stored into the memory hierarchy (at the lowest non-archiving level), and subsequently retrieved, (decompressed), and presented. If unused, the data either travels down in the memory hierarchy or it is compressed and stored at the same level. We firs…
Extending SSD lifetime in database applications with page overwrites
2013
Flash-based Solid State Disks (SSDs) have been a great success story over the last years and are widely used in embedded systems, servers, and laptops.One often overlooked ability of NAND flash is that flash pages can be overwritten in certain circumstances. This can be used to decrease wear out and increase performance.In this paper, we analyze the potential of overwrites for the most used data structure in database applications: the B-Tree. We show that with overwrites it is possible to significantly reduce flash wear out and increase overall performance.
Identifying Images with Ladders Using Deep CNN Transfer Learning
2019
Deep Convolutional Neural Networks (CNNs) as well as transfer learning using their pre-trained models often find applications in image classification tasks. In this paper, we explore the utilization of pre-trained CNNs for identifying images containing ladders. We target a particular use case, where an insurance firm, in order to decide the price for workers’ compensation insurance for its client companies, would like to assess the risk involved in their workplace environments. For this, the workplace images provided by the client companies can be utilized and the presence of ladders in such images can be considered as a workplace hazard and therefore an indicator of risk. To this end, we e…
Assessment of the interpretability of data mining for the spatial modelling of water erosion using game theory
2021
Abstract This study undertook a comprehensive application of 15 data mining (DM) models, most of which have, thus far, not been commonly used in environmental sciences, to predict land susceptibility to water erosion hazard in the Kahorestan catchment, southern Iran. The DM models were BGLM, BGAM, Cforest, CITree, GAMS, LRSS, NCPQR, PLS, PLSGLM, QR, RLM, SGB, SVM, BCART and BTR. We identified 18 factors usually considered as key controls for water erosion, comprising 10 factors extracted from a digital elevation model (DEM), three indices extracted from Landsat 8 images, a sediment connectivity index (SCI) and three other intrinsic factors. Three indicators consisting of MAE, MBE, RMSE, and…
Automating HAZOP analysis of batch processes
1999
Abstract A support system for the hazard and operabilty studies of batch processes is presented. The search of causes and consequences is automatically performed using similar qualitative models, in form of logic minitrees, for the phases of the operation procedure and the equipment units. More models are considered for the equipment units, one for each subtask in wich they are involved. The search algorithm is integrated by rules for subdividing the plant to be analysed in nodes.
Categorization in Discourse and Grammar
2016
This collection of papers addresses new trends in Cognitive Linguistics. Three parts of the book focus on Conceptual Metaphor Theory and Integration Network Analysis. Both the theoretical contributions and the empirical case studies stress the importance of contextual factors in the meaning making processes. They employ qualitative methods to analyze the use of metaphor in political discourse and in the conceptualization of emotions. The data sets include multimodal data, sign languages and co-speech gestures. The fourth part of the book contains two corpus-based studies. The fifth part concentrates on the grammatical categories of passive voice and aspect. One contribution discusses the pr…
The Press Coverage of Celebrity Suicide and the Development of Suicide Frequencies in Germany
2014
The existence of the so-called "Werther effect" is well confirmed, and there are several recommendations on how the media should (not) report suicide to minimize the risk of copycat behavior. Unfortunately, very little is known about how suicide is actually reported. The article examines the German press coverage of six celebrity suicides with respect to compliance with guidelines on suicide reporting and analyzes changes in suicides in the wake of the reporting. It concludes that German media do not respect the recommendations in a substantial number of their articles. In addition, a significant increase in suicides and similar suicides is found.
Comparative Study of Several Machine Learning Algorithms for Classification of Unifloral Honeys
2021
Unifloral honeys are highly demanded by honey consumers, especially in Europe. To ensure that a honey belongs to a very appreciated botanical class, the classical methodology is palynological analysis to identify and count pollen grains. Highly trained personnel are needed to perform this task, which complicates the characterization of honey botanical origins. Organoleptic assessment of honey by expert personnel helps to confirm such classification. In this study, the ability of different machine learning (ML) algorithms to correctly classify seven types of Spanish honeys of single botanical origins (rosemary, citrus, lavender, sunflower, eucalyptus, heather and forest honeydew) was investi…
Hadron therapy information sharing prototype
2013
The European PARTNER project developed a prototypical system for sharing hadron therapy data. This system allows doctors and patients to record and report treatment-related events during and after hadron therapy. It presents doctors and statisticians with an integrated view of adverse events across institutions, using open-source components for data federation, semantics, and analysis. There is a particular emphasis upon semantic consistency, achieved through intelligent, annotated form designs. The system as presented is ready for use in a clinical setting, and amenable to further customization. The essential contribution of the work reported here lies in the novel data integration and rep…