Octavian Fratu

Imperfect cross-correlation and amplitude balance effects on conventional multiuser decoder with turbo encoding

The present work aims to illustrate the improvement that turbo encoding/decoding algorithms can bring to a multiuser detection system, evaluated in terms of bit error rate (BER). Extended simulations have been performed for conventional multiuser detection algorithms and are still under study for other algorithms, like the optimal, the MMSE and the classical MMSE ones. Simulations have been performed in both optimal conditions and imperfect ones, like non-equal power of users and non-zero correlations between them and for different number of users. Several interesting conclusions have been highlighted with respect to parameters influence on overall system performances.

Big Data, Internet of Things and Cloud Convergence --- An Architecture for Secure E-Health Applications

Big data storage and processing are considered as one of the main applications for cloud computing systems. Furthermore, the development of the Internet of Things (IoT) paradigm has advanced the research on Machine to Machine (M2M) communications and enabled novel tele-monitoring architectures for E-Health applications. However, there is a need for converging current decentralized cloud systems, general software for processing big data and IoT systems. The purpose of this paper is to analyze existing components and methods of securely integrating big data processing with cloud M2M systems based on Remote Telemetry Units (RTUs) and to propose a converged E-Health architecture built on Exalead CloudView, a search based application. Finally, we discuss the main findings of the proposed implementation and future directions.

Development of an IEEE 802.21 Media Independent Information Service

This paper provides a view on the developing process of the Media Independent Information Service, later referred as MIIS, described in the IEEE 802.21 standard, which has the main functionality of providing the mobile terminal information about all access points in his coverage area. Our approach is towards the management of the entire mechanism of delivering data to the device, that is realized at a central location. The first chapter describes related work on IEEE 802.21 standard, and it-s linkage with the MIIS entity. The following chapters present the general architecture of the system, important aspects of implementation, the used technologies and also a set of research directions. The final section presents a performance evaluation, giving us a clue about the systems real functioning and serving capabilities.

eWALL: An Intelligent Caring Home Environment Offering Personalized Context-Aware Applications Based on Advanced Sensing

Independent living of senior citizens is one of the main challenges linked to the ageing population. Senior citizens may suffer from a number of diseases, including the decline in cardiopulmonary conditions, weaker muscle functions and a declined neuromuscular control of the movements, which result in a higher risk of fall and a higher vulnerability for cardiovascular and pulmonary diseases. With respect to cognitive functions, senior citizens may suffer from a decline of memory function, less ability to orientate and a declined ability to cope with complex situations. This is by itself a big societal challenge with impact in multiple sectors. In this paper we present an innovative ICT solution, named eWALL, that aims to address these challenges by means of an advanced ICT infrastructure and home sensing environment; thus differentiating from existing eHealth and eCare solutions. The system of eWALL will extend the state-of-the-art of Assistive Platforms and will significantly increase the independent living of seniors.

Cloud consulting: ERP and communication application integration in open source cloud systems

Cloud Consulting combines open source grid computing for distributed cloud computing and Enterprise Resource Modeling (ERP) to provide Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) through a simple, unified API. Cloud communications refers to using internet-based or cloud-based voice and data communications services, where telecommunications applications, switching, and storage are managed generally by third parties. These services can include capabilities that range from Voice over IP (VoIP) communications to hosted PBX and unified communications delivering voice, fax, video, and data requirements. Provisioning for these services is known as Communication as a Service (CaaS).

Solution for implementing IEEE 802.21 Media Independent Information Service

This paper describes a solution for implementing the Media Independent Information Service, later referred to as MIIS, described in IEEE 802.21 standard. First we present the previous work towards defining a complete system capable of realizing a vertical handover according to the standard. Next we detail the MIIS general architecture, the information gathering procedures and considerations about the data format used in communicating. The last section presents a typical usage scenario and the advantages of implementing MIIS.

Big data search for environmental telemetry

This paper presents how Exalead CloudView is used to search for environmental parameters in big data. In particular, given an environmental application, we propose to leverage trivial and non-trivial connections between different sensor signals, in order to find patterns that are likely to provide innovative solutions to existing problems and to establish different data models. The aggregation of such data models will provide evidence of connections between different events and environmental responses to those triggers, faster and better than trivial mining sensors data. As a consequence, the software has a significant potential for matching environmental applications and challenges that are related in non-obvious ways.

On the performance of a discrete time RAKE

A discrete time implementation of the RAKE receiver (DTR) is proposed. The suggested approach works without knowledge of the path delays and their number. It is based on a global estimation of the multipath channel convolutioned with the shaping filter. Since the DTR performance is very sensitive to the channel estimation quality, we suggest a disregarding method for the least significant estimated channel coefficients while taking into account the known impulse response of the shaping filter. The performance of the DTR and the conventional RAKE are then compared.

A grayscale image interpolation method using new morphological skeleton

This paper addresses the gray scale image interpolation by means of mathematical morphology. The new image interpolation method, called skeleton interpolation is based on morphological 3D binary skeleton. This article will present the theoretical background of the morphological image interpolation, deduce the new representation and show some application examples. Computer simulations illustrate results.

M2M remote telemetry and cloud IoT big data processing in viticulture

Current M2M communication platforms are being integrated in cloud IoT applications for providing remote sensing and actuating. Nevertheless, requirements for energy efficiency and resilience in severe operating environments are driving the development of new algorithms and infrastructures. This paper presents a survey of the measurement results for the winegrowing season 2014, as it was seen by an M2M remote telemetry station in cooperation with a big data processing platform and several sensors. We demonstrate the use of recent technologies such as Cloud IoT systems and Big Data processing in order to implement disease prediction and alerting application for viticulture. Finally, the extension of the proposed system for other agriculture applications is discussed.