Analysis of an M2/M2/1/R, N queuing model for the multimedia transmission over HSDPA/3.5G downlink is presented. The queue models the downlink buffer with source multimedia traffic streams comprising two classes of flows: realtime and non real-time. Time priority is accorded to the real-time flows while the non real-time flows are given buffer space priority. An analytic evaluation of the impac...

A multiobjective-model-based predictive control approach is proposed to solve a dynamic pickup and delivery problem in the context of a potential dial-a-ride service implementation. A dynamic objective function including two relevant dimensions, user and operator costs, is considered. Because these two components typically have opposing goals, the problem is formulated and solved using multiobj...

Blind image quality assessment (BIQA) remains a very challenging problem due to the unavailability of a reference image. Deep learning based BIQA methods have been attracting increasing attention in recent years, yet it remains a difficult task to train a robust deep BIQA model because of the very limited number of training samples with human subjective scores. Most existing methods learn a reg...

We study noncooperative games whose players are selfish, distributed users of a network and the game’s broad objective is to optimize Quality of Service (QoS) provision. Our classes of games are based on realistic microeconomic market models of QoS provision (Proceedings of the First International Conference on Information and Computation Economics ICE’98, 1998) and have two competing character...

This article presents the design of integrating Dodge-Romig average outgoing quality limit (AOQL) single sampling plans (SSP) by variables and specification limits. By solving the modified Kapur and Wang’s model, we not only have the economic specification limits, but also obtain the optimal inspection policy of Dodge-Romig AOQL SSP by variables.

Image inpainting is a tequnique for removing undesired visual objects in images and filling the missing regions with plausible textures. Conventionally, the missing parts of an image are completed by optimizing the objective function, which is defined based on pattern similarity between the missing region and the rest of the image (data region). However, unnatural textures are easily generated ...

A main issue in machine learning research is to analyze the generalization performance of a learning machine. Most classical results on the generalization performance of regularization algorithms are derived merely with the complexity of hypothesis space or the stability property of a learning algorithm. However, in practical applications, the performance of a learning algorithm is not actually...

Lighting has a crucial impact on the appearance of 3D objects and on the ability of an image to communicate information about a 3D scene to a human observer. This work presents a new automatic lighting design approach for comprehensible rendering of 3D objects. Given a geometric model of a 3D object or scene, the material properties of the surfaces in the model, and the desired viewing paramete...

We propose an analytic approach to the frequency bandwidth dimensioning problem, faced by cellular network operators who deploy/upgrade their networks in various geographical regions (countries) with an inhomogeneous urbanization. We present a model allowing one to capture fundamental relations between users’ quality of service parameters (mean downlink throughput), traffic demand, the density ...

We consider a system of three queues and two types of packets. Each packet arriving at this system finds in front of it a controller who either sends it in the first queue or rejects it according to a QoS criterion. When the packet finishes its service in the first queue, it is probabilistically routed to one of two other parallel queues. The objective is to minimize a QoS discounted cost over ...