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In the recent past, numerous frameworks have been designed to take decision support from samples for analyzing ECG signal data classification with wearable devices to prevent health risks in sports. As various frameworks permit a distinctive set of results, assessing the framework’s classification control in examination with other order frameworks or in correlation with human specialists is hard. The order precision is generally utilized as a measure of classification execution in this research. A novel hybrid Improved Monkey-based search (IMS) and support vector machine (SVM) technique have been designed and developed in this research for the health risk identification in ECGs. It incorporates handling of noise, extraction of signals, rule-based beat classification, and sliding window arrangement using a wearable device for the sportsperson. It can be executed continuously and can give clarifications to the analytic choices, and maximum scores have been acquired in terms of sensitivity and specificity (98.1% and 98.5% correspondingly using collective accuracy gross information, and 98.8% using aggregate average statistics, which has been shown in this research. Finally, experimental analysis has exposed that the hybrid Improved Monkey-based search (IMS) and support vector machine (SVM) technique achieve high precision (99.01%) in analyses of the heart rate for the sportsperson.

Internet protocol (IP)-based mobile systems are ushering new and faster technologies in wireless mobile networking. Therefore, the expectations from these network services with respect to data transfer rate and quality of service (QoS) are high. As such, meeting these requirements is the recent trend in modern wireless technologies. An important aspect regarding such improvements is the modification of handoff schemes between different networks. In this paper, we are focusing on the recent trends based on seamless handoff scheme in heterogeneous networks such as worldwide interoperability for microwave access (WiMAX) and long term evolution (LTE). The development of the session initiation protocol (SIP) Prior-INVITE scheme is an improvement on the earlier used SIP Re-INVITE method, which comes a long way in decreasing the average handoff delay. The performance analysis using software simulation on account of various parameters, such as handoff delay, cost of signaling and packet loss rate are accomplished in this work. The performance analysis demonstrates that the proposed scheme outperforms the ordinary cross-layer scheme and noncross-layer scheme in a vertical handover scenario.

A new class of fractals called hyperfractals is systematically investigated. Their underlying fractals in supporting spaces are multivalued fractals developed by ourselves in our earlier papers [Andres & Fiser, 2004; Andres et al., 2005]. In the case of uniqueness, they also coincide with the supports of invariant measures of the associated Markov–Feller hyperoperators. We prove their existence by means of fixed point theorems in hyperspaces and calculate, in particular cases of generating hypermaps, their Hausdorff dimension. Two illustrative examples are supplied.

The prime merit of the paper is to visualize hyperfractals via support functions. More precisely, address sets of hyperfractals, i.e. fractals living in hyperspaces, will be visualized in this way.

Interoperability is greatly considered in e-learning systems. XML based standards have arisen facilitating the common methods of description, identification and search of LO which are developed under different formats and platforms thus guaranteeing their reusability.

SCORM standard is imposing in this field. It was developed by Advanced Distributed Learning [6] and based on proposals of organizations like IEEE Learning Technology Standards Committee [10] Learning Object Metadata Working Group and IMS Global Learning Consortium.

The most modern e-learning platforms use the standards previously mentioned to achieve interoperability among the different systems. Nevertheless, there is much useful content available in different environments that is not structured according to the standards. This provokes serious difficulties for them to be reused. That is why it is essential to look for alternatives that permit to pack such contents in a way that they may be imported and used in the existing platforms.

An automated procedure that allows the making of Digital Libraries composed of learning objects starting from previously developed content structures is proposed. Tools for facilitating this process have been developed.

It has been applied to contents developed on a platform for teaching Spanish, as a result we have obtained a Multimedia Digital Library of Learning Objects.