11 articles in this issue
Honorius Gâlmeanu,Lucian Mircea Sasu,Razvan Andonie
Training a support vector machine (SVM) for regression (function approximation) in an incremental/decremental way consists essentially in migrating the input vectors in and out of the support vector set with specific modification of the associated thresho... see more
Bo Han,Bolang Li
Data tables have been widely used for storage of a collection of related records in a structured format in many mobile applications. The lossless compression of data tables not only brings benefits for storage, but also reduces network transmission latenc... see more
Yonal Kirsal
Wireless and mobile communication systems have evolved considerably in recent years. Seamless mobility is one of the main challenges facing mobile users in wireless and mobile systems. However, highly mobile users lead to a high number of handover failure... see more
Li Mengxia,Liao Ruiquan,Dong Yong
Aiming at the two characteristics of premature convergence of particle swarm optimization that the particle velocity approaches 0 and particle swarm congregate, this paper learns from the annealing function of the simulated annealing algorithm and adaptiv... see more
Germán A. Montoya,Yezid Donoso
Communication disruptions caused by mobility in wireless sensor networks introduce undesired delays which affect the network performance in delay sensitive applications in MWSN. In order to study the negative effects caused by mobility, we propose two mat... see more
Ognjen Pantelic,Ana Pajic,Ana Nikolic
Cloud Computing (CC) is a technology that surely brings innovations in today’s business world, more and more companies around the world are widely incorporating this technology into their businesses. From a technical, as well as organizational point of vi... see more
Rongrong Qian,Yuan Qi
Owing to the requirements from realistic wireless networks, the stochastic stability analysis for discrete-time power control, which concerns the randomness brought by the fading channels and noise of wireless systems, is of practical significance. By dev... see more
Gustavo Schleyer,Gastón Lefranc,Claudio Cubillos,Ginno Millán,Román Osorio-Comparán
This paper presents an unsupervised algorithm of colour image segmentation. This method combines the advantages of the approaches based on split and merge and region growing, and the use of the RGB and HSV colour representation models. The effectiveness o... see more
Li Zhu,Chunxiao Fan,Zhigang Wen,Huarun Wu
In order to optimize the wireless sensor network coverage, this paper designs a coverage optimization strategy for wireless sensor network (EACS) based on energy-aware. Under the assumption that the geographic positions of sensor nodes are available, the ... see more
Mingmin Zhu,Sanyang Liu,Jiewei Jiang
Bayesian networks (BNs) are one of the most widely used class for machine learning and decision making tasks especially in uncertain domains. However, learning BN structure from data is a typical NP-hard problem. In this paper, we present a novel hybrid a... see more