The aim of the ERAMIS project is to set up a network of Master's degree informatics as a Second Competence among 9 beneficiary universities of Kazakhstan, Kyrgyzstan and Russia, and 5 European universities. This c...
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This paper proposes a Topic-Level Opinion Influence Model (TOIM) that simultaneously incorporates topic factor, user opinions and social influence in a unified probabilistic model with two stages learning processes. I...
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Recently, call centers are important from a customer service point of view because they have a significant impact on customer satisfaction. In general, most of the management cost for call centers is labor cost for Cu...
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Recently, call centers are important from a customer service point of view because they have a significant impact on customer satisfaction. In general, most of the management cost for call centers is labor cost for Customer Service Representatives (CSRs), and it is important for companies to manage CSRs in a cost-effective manner, keeping a high quality of customer service. Therefore, most of companies install Interactive Voice Response systems (IVRs) in order to not only reduce CSR management cost, but also to provide high-quality customer service. In this paper, focusing on call centers with IVRs, we investigate the impact of the service time at IVRs and number of IVRs on the utilization of a CSR. To this end, we model the call center with IVRs by a queueing system with retrials, analyzing the steady state probability by a continuous-time Markov chain. We derive performance measures such as the mean number of redialing customers, the blocking probability and the mean sojourn time. Numerical results show that under a low arrival rate of new calls, the utilization of a CSR is insensitive to the IVR service time as well as to the number of IVRs, and that the utilization grows proportionally with the increase in the probability that a customer in an IVR leaves for the CSR service.
In this paper, an Artificial Immune System based on Hollandâs Classifier is proposed as a new method for network intrusion detection. This paper is not aimed to provide a comparative study but to give more unders...
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In this paper, an Artificial Immune System based on Hollandâs Classifier is proposed as a new method for network intrusion detection. This paper is not aimed to provide a comparative study but to give more understanding on the feasibility of combining Artificial Immune System and Hollandâs Classifier to detect network intrusion. This new Artificial Immune System, named AIS-CS, can attain higher than 90% intrusion detection with a false negative percentage below 10% and a fairly low false positive rate on a network composed of 50 regular nodes and 50 intruders. The experiments appear to suggest that the best performance can be found by setting the tolerization and the simulation parameters differently. Since there are numerous parameters involved, more experiments need to be performed to further measure this Holland classifier based Artificial Immune System.
This workshop focuses on exploring the centrality of visual literacy and visual thinking to HCI. Drawing on emerging critical perspectives, the workshop will address visual literacy and visual thinking from an interdi...
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In this non-comparative study paper, local regression modeling is added to Monte Carlo Tree Search (MCTS). This local regression modeling is used to replace the random action selection in the simulation part of MCTS. ...
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In this non-comparative study paper, local regression modeling is added to Monte Carlo Tree Search (MCTS). This local regression modeling is used to replace the random action selection in the simulation part of MCTS. The modified MCTS method and the regular MCTS method were tested against each other on the tic-tac-toe and the connect four games. The results of the experiment indicated that local regression helped the modified MCTS to outperform the regular MCTS on moderately memory demanding games, such as connect four. The performances of the two approaches appear to equal each other on low branching factor and less memory demanding games similar to tic-tac-toe.
Gestural interfaces have lately become extremely popular due to the introduction on the market of low-cost acquisition devices such as iPhone, Wii, and Kinect. Such devices allow practitioners to design, experiment, a...
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We initiate the study of a new parameterization of graph problems. In a multiple interval representation of a graph, each vertex is associated to at least one interval of the real line, with an edge between two vertic...
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An important issue faced by Software-as-a-Service (SaaS) application is scalability. Each SaaS application is typically shared by multiple (tens or hundreds) organizations (tenants). Each tenant may have hundreds or t...
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The problem of recognizing an individual using minutiae of fingerprints can be considered as a point matching problem. However, several factors such as the translation, rotation and deformation of the fingerprints as ...
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ISBN:
(纸本)9781457721182
The problem of recognizing an individual using minutiae of fingerprints can be considered as a point matching problem. However, several factors such as the translation, rotation and deformation of the fingerprints as well as the presence of spurious minutiae and the absence of genuine minutiae, make it difficult to find correspondent minutia-pairs. In this paper, we proposed a novel topology-based fingerprint matching algorithm named N-layer Delaunay Triangulation Net Check (NDTC). This scheme fully utilizes the advantages of the special features of Delaunay triangulation net, e.g. local structural stability and global structural uniqueness, to tackle these problems, in order to to provide reliable and robust minutiae matching. Our algorithm performance is evaluated on a public domain database FVC2002 DB2_A.
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