Future Generation Computer Systems

The stringent latency together with the higher bandwidth requirements of current Internet of Things (IoT) applications, are leading to the definition of new network-infrastructures, such as Multi-access Edge Computing (MEC). This emerging paradigm ...

Collaborative processes are very important in telemedicine domain since they allow for making right decisions in complex situations with multidisciplinary staff. When modelling these collaborative processes, some inconsistencies can appear. In semantic ...

The increasing amount of free and open geospatial data of interest to major societal questions calls for the development of innovative data-intensive computing platforms for the efficient and effective extraction of information from these data. This ...

Cloud computing has drastically transformed the means of computing in recent years. In spite of numerous benefits, it suffers from some challenges too. Major challenges of cloud computing include dynamic resource scaling and power consumption. These ...

In the recent times, a large number of cloud services are being made available by the enormous cloud service providers (CSPs). The services are made available by the CSPs with a variety of Quality of Service (QoS) attributes. Service mapping is the ...

Wearable devices enable retrieving data from their porting user, among other applications. When combining them with the Internet of Things (IoT) paradigm, a plethora of services can be devised. Thanks to IoT, several approaches have been proposed to ...

Critical infrastructure systems which are interrelated with peoples daily life perform functions in multiple domains. However, with the explosion of specialized textual information in such systems, providing discriminative services for users through ...

Todays web is growing very fast and having a strong online presence is becoming critical for businesses. In contrast, websites in search results using traditional Search Engine Optimization (SEO) techniques became less effective in achieving the desired ...

High-energy physics studies collisions of particles traveling near the speed of light. For statistically significant results, physicists need to analyze a huge number of such events. One analysis job can take days and process tens of millions of ...

Dynamic Voltage and Frequency Scaling (DVFS), CPU pinning, horizontal, and vertical scaling, are four techniques that have been proposed as actuators to control the performance and energy consumption on data center servers. This work investigates the ...

The dramatic increase of senior population worldwide is challenging the existing healthcare and support systems. Recently, smart home environments are utilized for ubiquitous health monitoring, allowing patients to stay at the comfort of their homes. In ...

There is a growing interest in enabling sharing data transmissions in Vehicular Ad hoc Networks (VANETs). However, due to the constant link disconnections and limited effective bandwidth, it is important and challenging to design a reliable delivery ...

The tremendous growth of virtualization technology in cloud environment reflects the increasing number of tasks that require the services of the virtual machines (VMs). To balance the load among the VMs and minimizing the makespan of the tasks are the ...

The execution of much sophisticated applications on the resource-constrained mobile device will lead to the fast exhaustion of the battery of mobile device. Therefore, mobile cloud computing (MCC) is regarded as an energy-effective approach by ...

The various high-dimensional sensor data can be collected by wireless sensor networks, video monitoring systems and multimedia sensor networks, while High-dimensional sensor data is inherently large-scale because each sensor node has spatial attributes ...

Identifying key classes can help developers familiarize with a previously unknown software system. Complex network research opens new opportunities for identifying key classes, and many approaches have been proposed. However, the software network that ...

Growing interest in Cloud Computing places a heavy workload on cloud providers which is becoming increasingly difficult for them to manage with their primary data centre infrastructures. Resource scarcity can make providers vulnerable to significant ...

Dynamic programming (DP) is good at recognizing on-line standard-stroke-order Chinese characters. We propose a two-stage bipartite weighted matching to rearrange the stroke order of a test on-line Chinese handwriting before recognition. At the first ...

Argumentation has provided a means to deal with inconsistent knowledge. We explore the potential of argumentation to handle conflicting user preferences. Classical preference handling methods in Artificial Intelligence (AI) lack the ability to handle ...

In smart city, accurate video sensing information is very critical for the whole city system. However, huge amount of information is the main characteristic of multi-camera system, and we have truly been in big data era for image/video processing. In ...

The paper proposes a novel metaheuristic Socio Evolution & Learning Optimization Algorithm (SELO) inspired by the social learning behaviour of humans organized as families in a societal setup. This population based stochastic methodology can be ...

In order to solve the problem of moisture measurement in the edible fungus production, which affect the drying process of edible fungus, here proposed the matrix based continuous belief network for on-line edible fungus drying prediction system ...

Purpose: Both maximum-dose-based and generalized equivalent uniform dose (gEUD)-based quadratic sub-scores, which penalize doses higher than the prescribed dose, exhibit the shortcomings of semi-deviation and a vanishing gradient in the feasible ...

The speech signal carries emotional message during its production. With the analysis on relation between sound production and glottis, the paper has introduced the glottal features into speech emotion recognition, proposed the model where the glottis is ...

This paper proposes a simple and novel feature descriptor for face recognition called local diagonal extrema number pattern (LDENP). LDENP produces a compact code of facial features which is obtained by encoding the directional information of the face ...

In last few decades, human activity recognition grabbed considerable research attentions from a wide range of pattern recognition and humancomputer interaction researchers due to its prominent applications such as smart home health care. For instance, ...

Large scale visual surveillance generates huge volumes of data at a rapid pace, giving rise to massive image repositories. Efficient and reliable access to relevant data in these ever growing databases is a highly challenging task due to the complex ...

Wireless Sensor Networks (WSNs) are often used to monitor the physical world. By using sensor nodes, various types of environmental conditions can be sensed and also it can communicate with the sensed data via wireless communication. The sensor nodes ...

In this paper, we investigate the Hybrid Directional CR-MAC based on Q-Learning with Directional Power Control in cognitive radio (CR) systems. In CR systems, nodes can switch to heterogeneous non-overlapping channels opportunistically which offer ...

Cloud computing follows a layered architecture where each layer targets a particular domain of end users. In such a layered architecture, provenance (the metadata that describes the derivation history of the object) of the individual layers is of ...