EAI Endorsed Transactions on Energy Web

Issue 6, 2015

Editor(s)-in-Chief: Mihaela Ulieru and Valeriy Vyatkin

Articles
Information

Efficient Key Management System for Large-scale Smart RFID Applications
Appears in:
ew 15(6): e1

Authors:
Mohammad Fal Sadikin, Marcel Kyas

Abstract:
Due to low-cost and its practical solution, the integration of RFID tag to the sensor node called smart RFID has become prominent solution in various fields including industrial applications. Nevertheless, the constrained nature of smart RFID system introduces tremendous security and privacy proble…Due to low-cost and its practical solution, the integration of RFID tag to the sensor node called smart RFID has become prominent solution in various fields including industrial applications. Nevertheless, the constrained nature of smart RFID system introduces tremendous security and privacy problem. One of them is the problem in key management system. Indeed, it is not feasible to recall all RFID tags in order to update their security properties (e.g. update their private keys). On the other hand, using common key management solution like standard TLS/SSL is too heavy-weight that can drain and overload the limited resources. Furthermore, most of existing solutions are highly susceptible to various threats reaching from privacy threats, physical attacks to various technics of Man-in-the-Middle attacks. This paper introduces novel key management system, tailored to the limited resources of smart RFID system. It proposes light-weight mutual authentication and identity protection to mitigate the existing threats.
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A Wearable Vibration Glove for Improving Hand Sensation in Persons with Spinal Cord Injury Using Passive Haptic Rehabilitation
Appears in:
ew 15(6): e2

Authors:
Tanya Estes, Deborah Backus, Thad Starner

Abstract:
We define Passive Haptic Rehabilitation (PHR) as an improvement in haptic sensations or abilities using methods which require little or no attention on the part of the user. We present a study that suggests improvement in hand sensation in participants with partial Spinal Cord Injury (SCI) in C4 - …We define Passive Haptic Rehabilitation (PHR) as an improvement in haptic sensations or abilities using methods which require little or no attention on the part of the user. We present a study that suggests improvement in hand sensation in participants with partial Spinal Cord Injury (SCI) in C4 - T1 after use of our Mobile Music Touch (MMT) glove. The MMT glove is designed to teach piano melodies passively. It stimulates the participant's fingers repeatedly in the order of notes in the songs to be learned. In a study of ten hands, seven people with incomplete SCI participate in simple piano lessons three times a week for thirty minutes a session for eight weeks. The experimental group also attends these lessons but also wear our Mobile Music Touch (MMT) glove for two hours a day, five times a week to reinforce these lessons passively. Participants were injured over a year before the beginning of the study. The Semmes-Weinstein test is used to measure sensation at eight points on the hand before and after the piano lessons. The mean improvements between the experimental group and control group show a difference that is statistically significant. All hand areas in the experimental group show an improvement in average Semmes-Weinstein scores.
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Input Methods for the Borg-RPE-Scale on Smartwatches
Appears in:
ew 15(6): e3

Authors:
Janko Timmermann, Wilko Heuten, Susanne Boll

Abstract:
The assessment of the perceived exertion during physical activity can be a valuable addition to a healthy training. Modern smartwatches provide a good opportunity to asses the perceived exertion, but entering information is quite challenging due to the very small displays. In this paper, we present…The assessment of the perceived exertion during physical activity can be a valuable addition to a healthy training. Modern smartwatches provide a good opportunity to asses the perceived exertion, but entering information is quite challenging due to the very small displays. In this paper, we present an evaluation of five different input methods for entering the perceived exertion on the Borg-RPE scale on smartwatches. Our evaluation shows that speech input is inappropriate for entering the rating while using ranges is promising.
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Multi-Class Queuing Networks Models for Energy Optimization
Appears in:
ew 15(6): e4

Authors:
Davide Cerotti, Marco Gribaudo, Pietro Piazzolla, Riccardo Pinciroli, Giuseppe Serazzi

Abstract:
The increase of energy consumption and the related costs in large data centers has stimulated new researches on techniques to optimize the power consumption of the servers. In this paper we focus on systems that should process a peak workload consisting of different classes of applications. The obj…The increase of energy consumption and the related costs in large data centers has stimulated new researches on techniques to optimize the power consumption of the servers. In this paper we focus on systems that should process a peak workload consisting of different classes of applications. The objective is to implement a policy of load control which allows an efficient use of the power deployed to the resources.
The proposed strategy controls the workload mix in order to achieve the maximum utilization of all the resources allocated. As a consequence, the power provision will be fully utilized and the throughput maximized. Thus, the costs to execute a given workload will be minimized, together with its energy consumption, since the required processing time is decreased.
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Representative Delay Measurements (RDM): Facing the Challenge of Modern Networks
Appears in:
ew 15(6): e5

Authors:
Joachim Fabini, Tanja Zseby, Michael Hirschbichler

Abstract:
Network access technologies have evolved significantly in the last years. They deploy novel mechanisms like reactive capacity allocation and time-slotted operation to optimize overall network capacity. From a single node's perspective, such optimizations decrease network determinism and measurement…Network access technologies have evolved significantly in the last years. They deploy novel mechanisms like reactive capacity allocation and time-slotted operation to optimize overall network capacity. From a single node's perspective, such optimizations decrease network determinism and measurement repeatability. Evolving application fields like machine to machine (M2M) communications or real-time gaming often have strict real-time requirements to operate correctly. Highly accurate delay measurements are necessary to monitor network compliance with application demands or to detect deviations of normal network behavior, which may be caused by network failures, misconfigurations or attacks.

This paper analyzes factors that challenge active delay measurements in modern networks. It introduces the Representative Delay Measurement tool (RDM) that addresses these factors and proposes solutions that conform to requirements of the recently published RFC7312. Delay measurement results acquired using RDM in live networks confirm that advanced measurement methods can significantly improve the quality of measurement samples by isolating systematic network behavior. The resulting high-quality samples are one prerequisite for accurate statistics that support proper operation of subsequent algorithms and applications.
more »

Scope

With ICT pervading everyday objects and infrastructures, the ‘Future Internet’ is envisioned to leap towards a radical transformation from how we know it today (a mere communication highway) into a vast hybrid network seamlessly integrating knowledge, people and machines as techno-social ecosystems whose behaviour transcends the boundaries of today’s engineering science. From self-reconfiguring manufacturing plants and self-stabilizing energy grids to self-deploying emergency taskforces – such ecosystems relying on a myriad of mobile devices, software agents and human users will be spontaneously deployed through eNetworks on the sole basis of local rules and peer-to-peer communication. This trend is driving a much needed radical transformation of the energy sector metamorphosed into a pervasively adaptive ecosystem of hybrid energy providers in which local microgrids of prosumers (producers and consumers) will interact with large power providers in a coopetition-driven manner. Several technologies are currently racing to production to meet this dream, from ‘smart dust’ to hybrid networks capable to control the emergence of dependable and reliable green and energy-efficient ecosystems – which we generically term the ‘energy web’ – calling for major paradigm shifts highly disruptive of the ways the energy sector functions today. The EAI Endorsed Transactions on the Energy Web are positioned at the forefront of these efforts as a forum for the most forward looking frontier research undertaken by the international scientific community. We will publish original works reporting on prominent advances that challenge traditional thinking to find solutions to the ongoing energy problems spanning from blackouts to green and alternative energy.

Indexing

Editors-in-Chief
Albert Lam, University of Hong Kong, HK
Nick Papanikolaou, Democritus University of Thrace, Greece
Area Editors
Mikhail Medvedev (Southern Federal University, Russia)
Vladimir Dyo (University of Bedfordshire, UK)Andrey Mazalov (South Federal University, Russia)
…

Editors-in-Chief
Albert Lam, University of Hong Kong, HK
Nick Papanikolaou, Democritus University of Thrace, Greece
Area Editors
Mikhail Medvedev (Southern Federal University, Russia)
Vladimir Dyo (University of Bedfordshire, UK)Andrey Mazalov (South Federal University, Russia)
Elena Gebel (Omsk State Technical University, Russia)
Irina Semykina (T. F. Gorbachev Kuzbass State Technical University, Russia)
Vyacheslav Potekhin (Peter the Great St. Petersburg Polytechnic University, Russia)
Sabu Thampi (Indian Institute of Information Technology and Management-Kerala (IIITM-K), India)
Baozhi Chen (Rutgers University, USA)
Manik Sharma (DAV University, India)
Amando P. Singun JR. (University of Technology and Applied Sciences, Muscat, Oman)
Irina Semykina (Sevastopol State University, Russia)
Chi-Hua Chen (Fuzhou University, China)
Vitor Monteiro (University of Minho, Portugal)
Joao L. Afonso (University of Minho, Portugal)
Abdul Shabeer (IBM India Pvt Ltd, Chennai, India)
Anandakumar H (Sri Eshwar College of Engineering, India)
Marta Chinnici (ENEA, Italy)
Howard NJOKU (University of Nigeria, Nigeria)
José Gabriel Oliveira Pinto (University of Minho, Portugal)
P Krishna (VIT University, India)
Jacinth Poornima (Hindusthan College of Engineering and Technology, India)
Karthikumar S (Anna University)
Duckki Lee (Yonam Institute of Technology, South Korea)
A. Hnatov (Kharkiv National Automobile and Highway University, Ukraine)
Dr. P. Karthikeyan (Jain University, India)

Journal Blurb

Visit the new journal website to submit and consult our contents: https://publications.eai.eu/index.php/ew/index

Publisher: EAI
ISSN: 2032-944X
Volume: 2

Published: 2015-11-16

Efficient Key Management System for Large-scale Smart RFID Applications

A Wearable Vibration Glove for Improving Hand Sensation in Persons with Spinal Cord Injury Using Passive Haptic Rehabilitation

Input Methods for the Borg-RPE-Scale on Smartwatches

Multi-Class Queuing Networks Models for Energy Optimization

Representative Delay Measurements (RDM): Facing the Challenge of Modern Networks

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