Search results for "computer.software_genre"
showing 10 items of 3858 documents
Transaction Costs and Returns to a Trading Strategy
2017
This chapter starts with a review of transaction costs in capital markets. Then it demonstrates how to simulate the returns to a moving average trading strategy in the presence of transaction costs. The following two cases are considered when a trading indicator generates a sell signal: case one where the trader switches to cash, and case two where the trader alternatively sells short a financial asset.
Effort in Semi-Automatized Subtitling Processes
2020
The presented study investigates the impact of automatic speech recognition (ASR) and assisting scripts on effort during transcription and translation processes, two main subprocesses of interlingual subtitling. Applying keylogging and eye tracking, this study takes a first look at how the integration of ASR impacts these subprocesses. 12 professional subtitlers and 13 translation students were recorded performing two intralingual transcriptions and three translation tasks to evaluate the impact on temporal, technical, and cognitive effort, and split-attention. Measures include editing time, visit count and duration, insertions, and deletions. The main findings show that, in both tasks, ASR…
DSL Tool Development with Transformations and Static Mappings
2009
A tool development framework for domain-specific languages combining mapping and transformation based approaches is proposed in this research project. The combination of both approaches permits to use advantages and eliminate disadvantages as far as possible. First results are described including draft architecture for the framework implementing proposed ideas. A sketch of mapping definition facilities is presented. Initial implementation proposals are described as well. A template based graphical generation language Template MOLA for implementation algorithm description is introduced.
Transformation of the Software Testing Glossary into a Browsable Concept Map
2014
Authors propose a transformation method of the glossary “Standard glossary of terms used in Software Testing” created by ISTQB document into a basic concept map. By applying natural language processing techniques and analyzing the discovered relations between concepts the most essential aspects of the software testing domain are elicited and integrated. As the result a browsable concept map is created. Browsable concept map can be used as a learning support tool.
Indexing Method for Transitive Relationships of Product Information
2008
To successfully use a relational database management system (RDBMS) as a repository for product information, the RDBMS must efficiently process and properly answer ontological queries. The key to processing the ontological queries is whether the various semantic relationships among the concepts of the product ontology are likewise well-processed. In particular, the transitive relationships (e.g., is-a, component-of relationships) such as ancestors-descendents, parents-children, and taxonomy of products must be processed successfully. We propose an efficient index using a numbering scheme (labeling scheme) to process queries over transitive relationships. (This paper is an extended version o…
Reliability of Data Transmission of UAVs
2018
Drones have been recently an interesting subject of research due to their roles in accomplishing missions. Flying in a formation fleet, they form a cooperative communication system in order to improve the efficiency of the mission. For this reason, the reliability of the communication is essential to guarantee the overall performance of the fleet although the link conditions, the external factors and the hardware failures of a drone. The drones capture several images or videos of the geographical area of the mission and send them to other drones in the fleet or to the Ground Station Control (GSC). The importance is to ensure that all the data transmitted is received. In this article, we aim…
Data Mining Approach for Detection of DDoS Attacks Utilizing SSL/TLS Protocol
2015
Denial of Service attacks remain one of the most serious threats to the Internet nowadays. In this study, we propose an algorithm for detection of Denial of Service attacks that utilize SSL/TLS protocol. These protocols encrypt the data of network connections on the application layer which makes it impossible to detect attackers activity based on the analysis of packet payload. For this reason, we concentrate on statistics that can be extracted from packet headers. Based on these statistics, we build a model of normal user behavior by using several data mining algorithms. Once the model has been built, it is used to detect DoS attacks. The proposed framework is tested on the data obtained w…
piRNAclusterDB 2.0: update and expansion of the piRNA cluster database.
2021
Abstract PIWI-interacting RNAs (piRNAs) and their partnering PIWI proteins defend the animal germline against transposable elements and play a crucial role in fertility. Numerous studies in the past have uncovered many additional functions of the piRNA pathway, including gene regulation, anti-viral defense, and somatic transposon repression. Further, comparative analyses across phylogenetic groups showed that the PIWI/piRNA system evolves rapidly and exhibits great evolutionary plasticity. However, the presence of so-called piRNA clusters as the major source of piRNAs is common to nearly all metazoan species. These genomic piRNA-producing loci are highly divergent across taxa and critically…
Virtual USB honeypot
2019
This paper presents the implementation of a malware trap device. We created a virtual usb device through the use of microvisor on the ARM platform.
Use of Machine Learning and Artificial Intelligence to Drive Personalized Medicine Approaches for Spine Care
2020
Personalized medicine is a new paradigm of healthcare in which interventions are based on individual patient characteristics rather than on “one-size-fits-all” guidelines. As epidemiological datasets continue to burgeon in size and complexity, powerful methods such as statistical machine learning and artificial intelligence (AI) become necessary to interpret and develop prognostic models from underlying data. Through such analysis, machine learning can be used to facilitate personalized medicine via its precise predictions. Additionally, other AI tools, such as natural language processing and computer vision, can play an instrumental part in personalizing the care provided to patients with …