Search results for "Intelligence"
showing 10 items of 6959 documents
Customer’s role in knowledge management and in the innovation process: effects on innovation capacity and marketing results
2016
Scholars have acknowledged customer knowledge management (CKM) as a key strategic resource for improving innovation and supporting long-term customer relationship management. This study provides a deeper understanding of the internal antecedents of business innovation capacity overcoming previous approaches. A model that had not previously been tested was used to analyse the role of customer collaboration and CKM – measured as a second-order construct – in innovation processes and marketing results. To test the model, structural equation modelling (partial least squares) was applied to a random sample of 210 Spanish companies. Results confirm that CKM and customer collaboration are antecede…
Ein Ansatz zur Erklärung der Kundenbindung auf Basis der Theorie des geplanten Verhaltens
2005
Traditional customer satisfaction and customer retention models are extended by integrating variables such as perceived action control or social norm. These constructs are suggested by the attitude theory as well as the theory of planned behaviour. The extended model is tested in an empirical study carried out in the movie theatre industry. The model provides an excellent explanation of customer retention, which is the target variable in the study. Implications are derived for satisfaction managers which focus on the social group when approaching a specific customer. Finally, an outline for further theoretical and empirical studies is given as well as some limitations of the proposed model.
A Note on Keys and Keystreams of Chacha20 for Multi-key Channels
2018
In this paper we analyze the keystreams generated by the Chacha20 stream cipher. We also compare these to the ones generated by its predecessor, the RC4 stream cipher. Due to the proposed multi-key channels in the upcoming TLS 1.3 standard we analyze the behavior of the keystream in the boundary case where there is a single bit difference between two keys used for the initiation of the stream cipher algorithms. The goal is to check whether a single bit change in the key has any predictable influence on the bits of the keystream output.
Cyclotron radiation emission spectroscopy signal classification with machine learning in project 8
2019
The Cyclotron Radiation Emission Spectroscopy (CRES) technique pioneered by Project 8 measures electromagnetic radiation from individual electrons gyrating in a background magnetic field to construct a highly precise energy spectrum for beta decay studies and other applications. The detector, magnetic trap geometry, and electron dynamics give rise to a multitude of complex electron signal structures which carry information about distinguishing physical traits. With machine learning models, we develop a scheme based on these traits to analyze and classify CRES signals. Understanding and proper use of these traits will be instrumental to improve cyclotron frequency reconstruction and help Pro…
Cluster-Based Relocation of Stations for Efficient Forest Fire Management in the Province of Valencia (Spain)
2021
Forest fires are undesirable situations with tremendous impacts on wildlife and people&rsquo
Segmentation Integrating Watershed and Shape Priors Applied to Cardiac Delayed Enhancement MR Images
2017
International audience; Background: In recent years, there has been a rapid rise in the use of shape priors applied to segmentation process of medical images. Previous approaches on left ventricle segmentation from Delayed-Enhancement Magnetic Resonance Imaging (DE-MRI) have focused on the extraction of myocardium or just diseased region in short axis orientation. However these studies did not take into account the segmentation of non-diseased myocardium from DE-MRI. The segmentation of non-diseased myocardium from DE-MRI, has some useful applications. For instance it can simplify the PET-MR registration process.Methods: This paper presents a novel semi-automatic segmentation method of non-…
Information territoriale : une construction collective nécessaire
2011
Les récents événements sociaux observés au niveau mondial, des crises financières et économiques à la crise sociale actuelle, poussent à imaginer de nouveaux modes de conception d'une organisation territoriale revisitée. Il semble inopportun dans le contexte actuel de continuer à vouloir structurer des sociétés selon des schémas verticaux (du haut vers le bas, du bas vers le haut) sans une réelle co-construction d'une vision concertée des enjeux comme des besoins sociaux. Décréter la participation citoyenne ne suffit pas ; l'appropriation d'une vision prospective s'avère parcellaire car encore inscrite dans une expression extra-territoriale dominante et surtout dans un schéma autoritaire. L…
DNS Tunneling Detection Techniques – Classification, and Theoretical Comparison in Case of a Real APT Campaign
2017
Domain Name System (DNS) plays an important role as a translation protocol in everyday use of the Internet. The purpose of DNS is to translate domain names into IP addresses and vice versa. However, its simple architecture can easily be misused for malicious activities. One huge security threat concerning DNS is tunneling, which helps attackers bypass the security systems unnoticed. A DNS tunnel can be used for three purposes: as a command and control channel, for data exfiltration or even for tunneling another protocol through it. In this paper, we surveyed different techniques for DNS tunneling detection. We classified those first based on the type of data and then within the categories b…
Towards Low-Cost Pavement Condition Health Monitoring and Analysis Using Deep Learning
2020
Governments are faced with countless challenges to maintain conditions of road networks. This is due to financial and physical resource deficiencies of road authorities. Therefore, low-cost automated systems are sought after to alleviate these issues and deliver adequate road conditions for citizens. There have been several attempts at creating such systems and integrating them within Pavement management systems. This paper utilizes replicable deep learning techniques to carry out hotspot analyses on urban road networks highlighting important pavement distress types and associated severities. Following this, analyses were performed illustrating how the hotspot analysis can be carried out to…
Machine learning at the interface of structural health monitoring and non-destructive evaluation
2020
While both non-destructive evaluation (NDE) and structural health monitoring (SHM) share the objective of damage detection and identification in structures, they are distinct in many respects. This paper will discuss the differences and commonalities and consider ultrasonic/guided-wave inspection as a technology at the interface of the two methodologies. It will discuss how data-based/machine learning analysis provides a powerful approach to ultrasonic NDE/SHM in terms of the available algorithms, and more generally, how different techniques can accommodate the very substantial quantities of data that are provided by modern monitoring campaigns. Several machine learning methods will be illu…