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Bicycle sharing systems are eco-friendly transportation systems that have found wide application in Smart urban environments. Monitoring and analyzing the occupancy levels of the system’s stations is crucial for guaranteeing the quality of the offered service. Advanced data mining solutions tailored to bicycle sharing data analysis are needed to support system managers to react to critical situations...
With the emergence of the Future Internet and the dawning of new IT models such as cloud computing, the usage of data centers (DC), and consequently their power consumption, increase dramatically. Besides the ecological impact, the energy consumption is a predominant criterion for DC providers since it determines the daily cost of their infrastructure. As a consequence, power management becomes one...
This paper presents a method to solve Static Economic dispatch incorporating solar energy using Dragonfly algorithm. Economic dispatch is carried out considering valve point loading and prohibited operating zone constraints. Solar energy system is modelled using Beta distribution function and included in the objective function. The output power of solar farm is forecasted for four seasons. Different...
In microgrids, the integration of distributed energy resources (DERs) in the residential sector can improve power reliability, and potentially reduce power demands and carbon emissions. Improving the utilization of renewable energy in households is a critical challenge for DERs. In this regard, renewable power sharing is one of the possible solutions to tackle this problem. Even though this solution...
Cities are the places where the greatest technological changes will take place during the next few decades. Some years from now, important investments will be destined towards elaborating and implementing urban solutions. However, people with sensorial disabilities will still have to overcome the problem of autonomy in urban areas. Autonomy presumes the existence of the right conditions for complete...
Providing adequate security measure during data transmission is one of the essential requirements of smart grid communication network (SGCN). In this paper, a novel trust management model is proposed to alleviate packet dropping attack between data aggregation points of SGCN. The concept of probability theory is used to calculate trust of every node in the network before transmitting the packet. Trust...
Unlike code refactoring of programs, architectural refactoring of systems is not commonly practiced yet. However, legacy systems typically have to be refactored when migrating them to the cloud; otherwise, these systems may run in the cloud, but cannot fully benefit from cloud properties such as elasticity. One reason for the lack of adoption of architectural refactoring is that many of the involved...
eHealth gains more and more interest since a lot of end-user devices supporting health data capturing are available. The captured data has to be managed and securely stored, in order to access it from different devices and share it with other users such as physicians. The aim of the german-greek research project ECHO is to support the treatment of patients, who suffer from chronic obstructive pulmonary...
Today, the Internet of Things has evolved due to an advanced interconnectivity of hardware devices equipped with sensors and actuators. Such connected environments are nowadays well-known as smart environments. Famous examples are smart homes, smart cities, and smart factories. Such environments should only be called “smart” if they allow monitoring and self-organization. However, this is a great...
One of the core principles in service oriented computing is that services are always on and available. There are however domains where running services all the time is not suitable, for example when applying simulation workflows in the eScience domain. The simulation services orchestrated by these workflows are typically used only rarely and irregularly, keeping them running all the time would result...
This paper proposes a parallel regression formulation to reduce the computational time of variable selection algorithms. The proposed strategy can be used for several forward algorithms in order to select uncorrelated variables that contribute for a better predictive capability of the model. Our demonstration of the proposed method include the use of Successive Projections Algorithm (SPA), which is...
Achieving high energy efficiency is becoming a very important challenge in designing future storage systems. This paper proposes to incorporate block correlations to perform energy-aware scheduling, thereby significantly improving energy efficiency of disk systems. Since the probability that an access to a file A will be followed by the same file (e.g. file B) that followed the last access to A is...
Naive Bayesian classification has been widely used in data mining area because of its simplicity and robustness to missing values and irrelevant attributes. However, naive Bayes classifiers sometimes show poor performance due to their unrealistic assumption that all attributes are equally important and conditionally independent of each other. In this research, we dispense with the former assumption...
A new trend has been explored to tackle the limited resources of mobile devices: mobile cloud computing. However, there is a difficulty in deciding—at runtime—the more appropriate target resources where to run offloaded mobile device tasks. This study presents SmartRank, a scheduling approach to perform load partitioning and offloading for mobile applications using cloud computing to increase performance...
Identifying a reliable fault prediction technique is the key requirement for building effective fault prediction model. It has been found that the performance of fault prediction techniques is highly dependent on the characteristics of the fault dataset. To mitigate this issue, researchers have evaluated and compared a plethora of fault prediction techniques by varying the context in terms of domain...
In heterogeneous computing systems consisting of a multitude of autonomous computers, a mechanism that can harness the computing resources efficiently is essential to maximizing system performance. The general problem of mapping tasks onto machines is known to be NP-complete, as such, many good heuristics have been developed. However, the performance of most heuristics is susceptible to the dynamic...
A new type of the spatio-temporal queries is the Intelligent Probabilistic Collision Detection Query (IPCDQ for short). In this paper, we focus on efficiently processing the IPCDQ on moving objects with uncertainty. Given two sets O and Q of objects, each of which moves with uncertain speed and direction, a time instant t, and a probability threshold P, the IPCDQ returns each pair of objects (o, q...
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