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Journal of Mobile Multimedia

Editor-in-Chief: Pavlos Lazaridis, University of Huddersfield, UK


ISSN: 1550-4646 (Print Version),

ISSN: 1550-4654 (Online Version)
Vol: 14   Issue: 1

Published In:   January 2018

Publication Frequency: Quarterly


Search Available Volume and Issue for Journal of Mobile Multimedia


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Experimental CubeSat-based Network for Alert Messages Broadcasting

doi: https://doi.org/10.13052/jmm1550-4646.1411
Alessio Fanfani1, Simone Morosi2, Luca Simone Ronga3, Sara Jayousi2, Enrico Del Re2 and Luca Rossettini1

1D-Orbit Srl, Via G. Mazzini 2, Milano, 20123, Italy
2Department of Information Engineering of the University of Florence, Via S. Marta 3, Florence, 50139, Italy
3CNIT Research Unit of the University of Florence, Via S. Marta 3, Florence, 50139, Italy

Abstract: [+]    |    Download File [ 4209KB ]    |   Read Article Online

Abstract: In this paper an end-to-end proof of concept of a low complexity CubeSatbased network architecture for alert dissemination is presented. The adoption of a CubeSat for alert messages broadcasting, of MAMES (Multiple Alert Message Encapsulation over Satellite) as alert messages transport protocol and of a satellite Portable SDR (Software Defined Radio) terminal as the receiver represent the key elements of the proposed architecture. The proposed system is described, highlighting the functioning of the whole “alert chain” from the generation to the reception of MAMES messages: particularly, the experimental activities carried out to prove the feasibility of the proposed alert network and the applicability of MAMES to LEO satellites are reported.

Keywords: Alerting system, Alert Messaging, Nano satellite, CubeSat, Software Defined Radio, Web Services, Multiple Alert Message Encapsulation protocol over Satellite (MAMES).

Maintenance of the Photovolatic Plants Using UAV Equipped with Low-cost GNSS RTK Receiver

doi: https://doi.org/10.13052/jmm1550-4646.1412
Bilal Muhammad1, Ramjee Prasad1, Marco Nisi2, Fabio Menichetti2, Ernestina Cianca3, Alberto Mennella4, Graziano Gagliarde4 and Davide Marenchino5

1Department of Business Development and Technology, Aarhus University, Denmark
2Sistematica S.p.a, Italy
3CTIF Section, Department of Electronics, University of Rome Tor Vergata, Italy
4TopView srl, Italy
5Entec S.p.a, Italy

Abstract: [+]    |    Download File [ 4713KB ]    |   Read Article Online

Abstract: Global Navigation Satellite System (GNSS) Real Time Kinematic (RTK) employs high-end dual-frequency receivers and antennas to deliver precise positioning that, in some way, restricts the use of GNSSRTKto a subset of user market due to very high cost. The emerging mass-market user applications, however, require centimeter-positioning accuracy considering a cost-effective solution. This calls for low-cost GNSS RTK solutions to create new possibilities for mass-market user applications to make use of GNSS high accuracy positioning in a variety of ways. One of the applications, which makes use of low-cost GNSS RTK receiver, is the maintenance of photovoltaic (PV) plants using Unmanned Aerial Vehicle (UAV). This paper proposes a solution that aims at automating the maintenance of PV plant with enhanced reliability in a time and cost effective manner, which otherwise requires intermediate human intervention. The paper presents the architectural concept, system design, and end-to-end algorithm that plays a pivotal role in enabling the automatic report generation of PV plant status. Preliminary results of the proof-of-concept shows the feasibility of the proposed solution.

Keywords: Photovoltaic, UAV, GNSS, RTK.

A Real-Time Open Access Platform towards Proof of Concept for Smart Grid Applications

doi: https://doi.org/10.13052/jmm1550-4646.1413
Mohammed Kemal1, Lennart Petersen2, Florin Iov2, and Rasmus Løvenstein Olsen1

1Department of Electronic Systems, Aalborg University, Denmark
2Department of Energy and Technology, Aalborg University, Denmark

Abstract: [+]    |    Download File [ 5768KB ]    |   Read Article Online

Abstract: This paper presents development of real time open access platform towards proof of concept of smart grid applications deployed at Smart Energy System Laboratory of Aalborg University. Discussed on the paper is the architecture and set-up of the platform by elaborating the three main layers: electrical grid layer, ICT & network emulation layer and control layer. DiSC-OPAL, a toolbox built for OPAL-RT real time grid simulation; comprising of models for wide variety of controllable flexible assets, stochastic power sources for wind and solar power plants, real consumption data’s and electrical grid components is presented. A detailed model description of the whole set up and the corresponding functionalities is characterized. To showcase real life application of the whole framework, an overview of two test cases implemented for European SmartC2Net project with focus on control and market integration of low voltage distribution grids is presented.

Keywords: Network Emulation, Real Time Simulations, DLMS, OADR, Virtual Smart Meters, Demand Response,Voltage Control, Smart Grid, Power Communication Co-Simulation.

Sales People Training Programme Scheduling Using Multiple Objective Linear Programming: Case Study of an Indonesian Motorcycle Distributor

doi: https://doi.org/10.13052/jmm1550-4646.1414
Weiz Shahzad Kalia1, Dewanto Harjunowibowo1,2 and Lenny1

1University of Nottingham, UK
2University of Sebelas Maret, Indonesia

Abstract: [+]    |    Download File [ 1372KB ]    |   Read Article Online

Abstract: One of the problems that has to be overcome by a motorcycle distributor is how best to deliver an effective product knowledge training programme to a new salesman working in a motorcycle dealership. Scheduling such a training programme essentially means a trade-off between maximizing the number of salesmen that can be trained and minimizing the training costs. Based on the collected data, there are numerous motorcycle dealers citywide and it will not be possible for a motorcycle distributor company to conduct a training programme in each city exclusively, therefore, a coverage area policy is applied. In total, there are 5 coverage areas and a training activity will be delivered in each of these areas. One method that can be used to predict the number of new salesmen trained in these areas is the winter-holtz method, whereby multiple-objective linear programming (MOLP) is used to schedule the training programme in these coverage areas based on the forecasting result. The proposed optimization method (finding a trade-off between trained sales people maximization and training cost minimization) is best compared to the current optimization method applied by the company (only maximizing the number of trained sales people) or indeed linear programming to solely minimize the training cost. The application of MOLPprovides 3% less trained sales people compared to the current optimization method applied by the company and reduces the training cost by up to 19.8%.

Keywords: Salespeople, Scheduling, Forecasting, Multiple Objective Linear Programming,Winter-Holtz.

An Analysis of Global and Regional Mainstreaminess for Personalized Music Recommender Systems

doi: https://doi.org/10.13052/jmm1550-4646.1415
Markus Schedl and Christine Bauer

Department of Computational Perception, Johannes Kepler University Linz Altenberger Straße 69, A-4040 Linz, Austria

Abstract: [+]    |    Download File [ 1083KB ]    |   Read Article Online

Abstract: The music mainstreaminess of a listener reflects how strong a person’s listening preferences correspond to those of the larger population. Considering that music mainstream may be defined from different perspectives, we show country-specific differences and study how taking into account music mainstreaminess influences the quality of music recommendations.

In this paper, we first propose 11 novel mainstreaminess measures characterizing music listeners, considering both a global and a countryspecific basis for mainstreaminess. To this end, we model preference profiles (as a vector over artists) for users, countries, and globally, incorporating artist frequency, listener frequency, and a newly proposed TF-IDF-inspired weighting function, which we call artist frequency–inverse listener frequency (AF-ILF). The resulting preference profile for each user u is then related to the respective country-specific and global preference profile using fraction-based approaches, symmetrized Kullback-Leibler divergence, and Kendall’s τ rank correlation, in order to quantify u’s mainstreaminess. Second, we detail country-specific peculiarities concerning what defines the countries’ mainstream and discuss the proposed mainstreaminess definitions. Third, we show that incorporating the proposed global and country-specific mainstreaminess measures into the music recommendation process can notably improve accuracy of rating prediction.

Keywords: music mainstreaminess, music recommender systems, artist frequency-inverse listener frequency, popularity, country-specific differences.

River Publishers: Journal of Mobile Multimedia