Browsing Computer Science by Title
Now showing items 323-342 of 358
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Taking inventory changes into account while negotiating in supply chain management
(SciTePress, 2020)In a supply chain environment, supply chain entities need to make joint decisions on the transaction of goods under the issues quantity, delivery time and unit price in order to procure/sell goods at right quantities and ... -
Teaching robots to cooperate with humans in dynamic manipulation tasks based on multi-modal human-in-the-loop approach
(Springer Science+Business Media, 2014-01)We propose an approach to efficiently teach robots how to perform dynamic anipulation tasks in cooperation with a human partner. The approach utilises human sensorimotor learning ability where the human tutor controls the ... -
Test kâhini olarak görüntü karşılaştırma algoritmalarının değerlendirilmesi
(CEUR-WS, 2017)Televizyon gibi yoğun yazılım içeren gömülü sistemlerin kara kutu testleri, grafik kullanıcı arayüzleri (GKA) aracılığıyla gerçekleştirilmektedir. Bu testlerin otomasyonu kapsamında bir dizi kullanıcı işlemi dışarıdan ... -
Testing performance of application containers in the cloud with hpc loads
(Civil-Comp, 2017)In this paper, we evaluate HPC application deployment using container technology and examine performance metrics on a public cloud. The research focuses on the ease of deployment, performance and isolation issues related ... -
TIDY: A trust-based approach to information fusion through diversity
(IEEE, 2013)Trust and reputation are significant components in open dynamic systems for making informed and reliable decisions. State-of-the-art information fusion models that exploit these mechanisms generally rely on reports from ... -
Towards a testing framework with visual feedback for actor-based systems
(IEEE, 2018-08-02)We introduce a prototype testing framework as an extension of JUnit for testing actor-based systems. Our framework runs a given JUnit test in various schedules and records the execution trace for each run. In case a failure ... -
Towards an efficient anomaly-based intrusion detection for software-defined networks
(IET Networks, 2018-08-24)Software-defined networking (SDN) is a new paradigm that allows developing more flexible network applications. A SDN controller, which represents a centralised controlling point, is responsible for running various network ... -
Towards automated aircraft maintenance inspection. A use case of detecting aircraft dents using mask r-cnn
(American Institute of Aeronautics and Astronautics Inc, AIAA, 2020)Deep learning can be used to automate aircraft maintenance visual inspection. This can help increase the accuracy of damage detection, reduce aircraft downtime, and help prevent inspection accidents. The objective of this ... -
Towards automatic selection of direct vs. iterative solvers for cloud-based finite element analysis
(Civil-Comp, 2015)The new trend in engineering is to solve complex computational problems in the cloud using high performance computing (HPC) services provided by different vendors. In this paper, we compare performances of direct vs. ... -
Towards subtyped program generation in F#
(ACM, 2011)Program Generation is the technique of combining code fragments to construct a program. In this work we report on our progress to extend F# with program generation constructs. Our prototype implementation uses a translation ... -
Tractable policy management framework for IoT
(SPIE, 2017)Due to the advancement in the technology, hype of connected devices (hence forth referred to as IoT) in support of automating the functionality of many domains, be it intelligent manufacturing or smart homes, have become ... -
TRIBE: Trust revision for information based on evidence
(IEEE, 2013)In recent years, the number of information sources available to support decision-making has increased dramatically. However, more information sources do not always mean higher precision in the fused information. This is ... -
TruSD: Trust framework for service discovery among IoT devices
(Elsevier, 2020-09-04)IoT provides an environment which enables access to a plethora of different services. In order to reach these services, devices need to decide if the providers are trustable or not. The decision to trust a node with whom ... -
Trust estimation and fusion of uncertain information by exploiting consistency
(IEEE, 2014)Agents may cooperate by communicating their opinions about various phenomena. These opinions are then fused by agents and used for informed decision-making. However, fusing opinions from diverse sources is not trivial - ... -
Trust estimation of sources over correlated propositions
(IEEE, 2018-09-05)This work analyzes the impact of correlated propositions when estimating the reporting behavior of information sources. These behavior estimates are critical for fusion, and traditional methods assume the propositions are ... -
Trust-based fusion of classifiers for static code analysis
(IEEE, 2014)Static code analysis tools automatically generate alerts for potential software faults that can lead to failures. However, developers are usually exposed to a large number of alerts. Moreover, some of these alerts are ... -
Uncertainty-aware situational understanding
(SPIE, 2019)Situational understanding is impossible without causal reasoning and reasoning under and about uncertainty, i.e. prob-abilistic reasoning and reasoning about the confidence in the uncertainty assessment. We therefore ... -
Use of line spectral frequencies for emotion recognition from speech
(IEEE, 2010)We propose the use of the line spectral frequency (LSF) features for emotion recognition from speech, which have not been been previously employed for emotion recognition to the best of our knowledge. Spectral features ... -
Using convolutional neural networks to automate aircraft maintenance visual inspection
(MDPI, 2020-12)Convolutional Neural Networks combined with autonomous drones are increasingly seen as enablers of partially automating the aircraft maintenance visual inspection process. Such an innovative concept can have a significant ... -
Using eigenvoices and nearest-neighbors in HMM-based cross-lingual speaker adaptation with limited data
(IEEE, 2017-04)Cross-lingual speaker adaptation for speech synthesis has many applications, such as use in speech-to-speech translation systems. Here, we focus on cross-lingual adaptation for statistical speech synthesis systems using ...
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