A novel smart ECO model for energy consumption optimization

Today we see various small automated devices that are used to regulate the energy consumption in households. Most of these devices work autonomously on a specific set of appliances or only for specific necessities, such as heating or cooling. The proposed smart energy solutions are focused on gathering datasets of the historical data for energy consumption and then propose different algorithms for analysing these datasets. In this paper, we investigate the possibility of using a new Smart-ECO model, consisting of a smart device, which is running its own smart algorithm. We will conduct analysis on real-time household dataset, in order to optimize the electricity consumption per appliance. The proposed model is based on the custom preferences and behavioural habits of the people that live in the household and the inter-dependency of the appliances that are active at the moment.A grant (No. AOX220) from the National Research Foundation, South Africa in conjunction with Research Development Programme of the University of Pretoria.http://www.eejournal.ktu.lt/index.php/eltam2016Electrical, Electronic and Computer Engineerin

The ARTICONF approach to decentralized car-sharing

Social media applications are essential for next-generation connectivity. Today, social media are centralized platforms with a single proprietary organization controlling the network and posing critical trust and governance issues over the created and propagated content. The ARTICONF project funded by the European Union's Horizon 2020 program researches a decentralized social media platform based on a novel set of trustworthy, resilient and globally sustainable tools that address privacy, robustness and autonomy-related promises that proprietary social media platforms have failed to deliver so far. This paper presents the ARTICONF approach to a car-sharing decentralized application (DApp) use case, as a new collaborative peer-to-peer model providing an alternative solution to private car ownership. We describe a prototype implementation of the car-sharing social media DApp and illustrate through real snapshots how the different ARTICONF tools support it in a simulated scenario

Intelligent Delivery of Multimedia Content in Mobile Environment

Process of delivering multimedia learning objects such as text, video, images, audio, and animation requires real-time streaming of multimedia content from the M-learning systems to the mobile users. With enhancing the integration methods of the mobile devices into the learning systems, we have possibility to allow easy storing, recording and delivering of multimedia contents to the students in real-time. In this paper, we will present an intelligent mobile learning (M-learning) system for delivery of multimedia content depending of the context-aware conditions. This paper considers the significance of high QoS requirements for applications that are essential to achieve higher continuity of real-time multimedia contents. In this research, we have considered the best queuing packet delivery algorithm to provide appropriate multimedia contents to improve required bandwidth for user’s communications

A Novel Smart ECO Model for Energy Consumption Optimization

Today we see various small automated devices that are used to regulate the energy consumption in households. Most of these devices work autonomously on a specific set of appliances or only for specific necessities, such as heating or cooling. The proposed smart energy solutions are focused on gathering datasets of the historical data for energy consumption and then propose different algorithms for analysing these datasets. In this paper, we investigate the possibility of using a new Smart-ECO model, consisting of a smart device, which is running its own smart algorithm. We will conduct analysis on real-time household dataset, in order to optimize the electricity consumption per appliance. The proposed model is based on the custom preferences and behavioural habits of the people that live in the household and the inter-dependency of the appliances that are active at the moment.A grant (No. AOX220) from the National Research Foundation, South Africa in conjunction with Research Development Programme of the University of Pretoria.http://www.eejournal.ktu.lt/index.php/eltam2016Electrical, Electronic and Computer Engineerin

Is the Fractal Dimension of the Contour-lines a Reliable Tool for Classification of Medical Images?

When two-dimensional medical images are subject to fractal analysis, one of the methods used is to detect the contour of objects in the binary images and later to estimate the fractal dimension of the extracted contour. This scalar characteristic of the medical image should help in discrimination between normal and abnormal tissues. In this paper we expose the factors that affect the reliability of such examinations and put the fractal dimension in question as a valid criterion for description, classification and recognition in medical diagnosing

Is the Fractal Dimension of the Contour-lines a Reliable Tool for Classification of Medical Images?

When two-dimensional medical images are subject to fractal analysis, one of the methods used is to detect the contour of objects in the binary images and later to estimate the fractal dimension of the extracted contour. This scalar characteristic of the medical image should help in discrimination between normal and abnormal tissues. In this paper we expose the factors that affect the reliability of such examinations and put the fractal dimension in question as a valid criterion for description, classification and recognition in medical diagnosing

The ARTICONF approach to decentralized car-sharing

Social media applications are essential for next-generation connectivity. Today, social media are centralized platforms with a single proprietary organization controlling the network and posing critical trust and governance issues over the created and propagated content. The ARTICONF project funded by the European Union's Horizon 2020 program researches a decentralized social media platform based on a novel set of trustworthy, resilient and globally sustainable tools that address privacy, robustness and autonomy-related promises that proprietary social media platforms have failed to deliver so far. This paper presents the ARTICONF approach to a car-sharing decentralized application (DApp) use case, as a new collaborative peer-to-peer model providing an alternative solution to private car ownership. We describe a prototype implementation of the car-sharing social media DApp and illustrate through real snapshots how the different ARTICONF tools support it in a simulated scenario