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International Conference on Intelligent Networking and Collaborative systems (INCOS)

作者： Asta Zelenkauskaite Nik Bessis Stelios Sotiriadis Eleana Asimakopoulou Department of Telecommunications Indiana University Bloomington USA Distributed and Intelligent Systems Research Group University of Derby Derby UK Department of Computer Science and Technology University of Bedfordshire Luton UK

This visionary paper presents the Internet of Things paradigm in terms of interdependent dynamic dimensions of objects and their properties. Given that in its current state Internet of Things (IoT) has been viewed as a paradigm based on hierarchical distribution of objects, evaluation of the dynamic nature of the hierarchical structures faces challenges in its evaluation and analysis. Within this in mind, our focus is on the area of complex social networks and the dynamic social network construction within the context of IoT. This is by highlighting and addressing the tagging issues of the objects to the real-world domain such as in disaster management, these are in relation to their hierarchies and interrelation within the context of social network analysis. Specifically, we suggest to investigate and deepen the understanding of the IoT paradigm through the application of social network analysis as a method for interlinking objects -- and thus, propose ways in which IoT could be subsequently interlinked and analyzed through social network analysis approach - which provides possibilities for linking of the objects, while extends it into real-world domain. With this in mind, we present few applications and key characteristics of disaster management and the social networking analysis approach, as well as, foreseen benefits of its application in the IoT domain.

关键词： Social network services Context Sensors Internet Disaster management Wireless sensor networks

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A lightweight privacy preserving approach for analyzing communication records to prevent voip attacks using toll fraud as an example

A lightweight privacy preserving approach for analyzing comm...

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11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012

作者： Hofbauer, Stefan Beckers, Kristian Quirchmayr, Gerald Sorge, Christoph Network Department Danube Data Center GmbH Vienna Austria Software Engineering Paluno University of Duisburg-Essen Dusiburg Germany Multimedia Information Systems Research Group University of Vienna Vienna Austria School of Computer and Information Security University of South Australia Adelaide SA Australia Security in Networks University of Paderborn Paderborn Germany

ISBN: (纸本)9780769547459

Voice-over-IP systems are quite frequently attacked with the intent of service theft. While VoIP security has been intensively researched in the past, devised solutions often demand significant changes to the VoIP systems. In addition, several solutions propose the filtering of telephone calls, but these solutions only have a limited focus on the privacy rights of the call participants. We propose a method for analyzing communication records with the primary purpose to prevent VoIP attacks. Moreover, our approach integrates with little effort into common VoIP usage scenarios. As an example we use the prevention of toll-fraud attacks as a running example. The analysis of the communication records, however, requires investigating personal information in the communication records, e.g., call habits and phone numbers. Consequently we give an overview of major US and EU laws and regulations to elicit privacy requirements. We also demonstrate how these requirements can be implemented using Comercial-Off-The-Shelf VoIP systems. © 2012 IEEE.

关键词： Voice/data communication systems

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Disaster Management and Profile Modelling of IoT Objects: Conceptual Parameters for Interlinked Objects in Relation to Social Network Analysis

Disaster Management and Profile Modelling of IoT Objects: Co...

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International Conference on Intelligent Networking and Collaborative systems (INCOS)

In recent years, the emergence of ubiquitous and pervasive computing suggests the radical transformation of the Internet to incorporate physical objects. The transformation suggests the enabling of a new form of communication and interaction style that incorporates people, their smart devices and their physical objects through the utilization of distributed sensors spread in the environment. In this study, we propose extending Internet of Things (IoT) by modelling an IoT enabled smart environment as a whole, representing the dynamic communication and interaction among all objects (users, devices, physical objects and sensors). This is by recognizing and categorizing objects' properties in the form of a generic profile. We also reflect this in a disaster management context. That is by identifying which of the parameters of these smart objects are fixed, constant and persistent over time and which parameters are actually change over time, i.e. those characterized by their transient and dynamic nature. Thus, through the process of communication and interaction of the objects, we analyze parameters by demonstrating their static and/or dynamic properties as well as those supporting context-aware variables which are evident in disaster scenarios. To achieve these goals, we designed the persistent or temporal relationships to encompass internal information of smart-objects, along with their characteristics that actually depict their capacity to offer services to users by properties' matchmaking. The interlinked relationships represent a 'social network' providing a terrain of flexible scenarios that would lead to tailored parameters to fit user preferences. To enable communication among them in a dynamic dimension we utilized a distributed topology in which communication could occur indirectly between objects. Finally, we detailed a generic - but equally applicable for disaster management - case scenario in which we used graph theory to demonstrate how embedded intelligenc

关键词： Social network services Context Organizations Disaster management Sensors Object recognition Internet

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Handling missing values in data mining - A case study of heart failure dataset

Handling missing values in data mining - A case study of hea...

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International Conference on Fuzzy systems and Knowledge Discovery (FSKD)

作者： N. Poolsawad L. Moore C. Kambhampati J. G. F. Cleland Distributed Reliable Intelligent Systems Research Group (DRIS) Department of Computer Science University of Hull Hull UK Hull York Medical School Department of Cardiology University of Hull Hull UK

In this paper, we investigate the characteristics of a clinical dataset using feature selection and classification techniques to deal with missing values and develop a method to quantify numerous complexities. The research aims to find features that have high effect on mortality time frame, and to design methodologies which will cope with the following challenges: missing values, high dimensionality, and the prediction problem. The experimental results will be extended to develop prediction model for HF This paper also provides a comprehensive evaluation of a set of diverse machine learning schemes for clinical datasets.

关键词： Data mining Classification algorithms Predictive models Heart Artificial neural networks Accuracy Prediction algorithms

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Driving More Efficiently - The Use of Inter-Vehicle Communication to Predict a Future Velocity Profile

Driving More Efficiently - The Use of Inter-Vehicle Communic...

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73rd IEEE Vehicular Technology Conference (VTC Spring)

作者： Kerper, Markus Wewetzer, Christian Trompeter, Holger Kiess, Wolfgang Mauve, Martin Driver Information Systems Research Volkswagen Group Germany Computer Networks Group University of Düsseldorf Germany

ISBN: (纸本)9781424483310

Fuel-efficient driving is difficult in unknown or complex environments. To aid the driver with this task, we present a novel method of tactical route optimization by calculating a short-term fuel-reduced velocity profile. This profile is based on knowledge of location-dependent velocity profiles that are collected by the vehicles over time and shared with other vehicles. To determine a fuel-efficient velocity profile, we first split the planned route into segments. We cluster the historical velocity profiles within each segment using a Dynamic Time Warping algorithm, obtaining classes of velocity profiles and their probabilities. We construct a transition graph between velocity profile classes from adjacent segments and calculate the most probable path through the next segments ahead. This path represents the most likely future velocity profile under the assumption that the driver behaves like previous drivers on the same segment. Given the constraints defined by this profile, we calculate the fuel-reduced velocity profile with help of a shortest-path algorithm in a vehicle-specific fuel-consumption graph. First results in an urban environment indicate possible fuel savings of about 8.3% compared to the most probable profile.

关键词： Clustering algorithms Driver circuits Fuels Optimization Probes Vehicle dynamics Vehicles

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Temporal logic motion control using actor-critic methods

Temporal logic motion control using actor-critic methods

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Xu Chu Ding Jing Wang Morteza Lahijanian Ioannis Ch. Paschalidis Calin A. Belta Embedded Systems and Networks group United Technologies Research Center East Hartford CT Division of System Eng. Dept. of Mechanical Eng. Dept. of Electrical & Computer Eng. and Dept. of Mechanical Eng. Boston University Boston MA

In this paper, we consider the problem of deploying a robot from a specification given as a temporal logic statement about some properties satisfied by the regions of a large, partitioned environment. We assume that the robot has noisy sensors and actuators and model its motion through the regions of the environment as a Markov Decision Process (MDP). The robot control problem becomes finding the control policy maximizing the probability of satisfying the temporal logic task on the MDP. For a large environment, obtaining transition probabilities for each state-action pair, as well as solving the necessary optimization problem for the optimal policy are usually not computationally feasible. To address these issues, we propose an approximate dynamic programming framework based on a least-square temporal difference learning method of the actor-critic type. This framework operates on sample paths of the robot and optimizes a randomized control policy with respect to a small set of parameters. The transition probabilities are obtained only when needed. Hardware-in-the-loop simulations confirm that convergence of the parameters translates to an approximately optimal policy.

关键词： Computational modeling Robot sensing systems Materials requirements planning Manganese Automata Markov processes

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The Design and Software Implementation of a MAC Protocol for Body-Coupled Communication systems

The Design and Software Implementation of a MAC Protocol for...

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54th Annual IEEE Global Telecommunications Conference (GLOBECOM)

作者： Breva, Alberto Caballero Argyriou, Antonios Distributed Sensor Systems Group Philips Research Netherlands Department of Electrical and Computer Engineering University of Thessaly Volos 38221 Greece Center for Research and Technology Hellas (CERTH) Thessaloniki 57001 Greece

ISBN: (纸本)9781424492688

Body-coupled communication (BCC) is a technology that is based on the use of capacitively-coupled electric fields over the human body. In this paper we highlight the design and implementation of a medium access control (MAC) protocol specifically designed to meet the requirements of BCC-enabled body area networks (BANs). We propose a set of specific protocol enhancements over well-known MAC protocols that are based on the concept of low-power listening. We present the proposed protocol in conjunction with the embedded software implementation for the prototype hardware platform. The purpose of this approach is to demonstrate that several protocol enhancements were motivated by observations on the actual BCC hardware and its intricacies. Finally, we present a series of experiments under real conditions.

关键词： MAC protocol body coupled communication low energy consumption

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ANCAEE: A Novel Clustering Algorithm for Energy Efficiency in Wireless Sensor networks

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Wireless Sensor Network 2011年第9期3卷 307-312页

作者： A. P. Abidoye N. A. Azeez A. O. Adesina K. K. Agbele Wireless Sensor Networks & Natural Language Research Group Grid Computing & Distributed Systems Laboratory Department of Computer Science University of the Western Cape

One of the major constraints of wireless sensor networks is limited energy available to sensor nodes because of the small size of the batteries they use as source of power. Clustering is one of the routing techniques that have been using to minimize sensor nodes’ energy consumption during operation. In this paper, A Novel Clustering Algorithm for Energy Efficiency in Wireless Sensor networks (ANCAEE) has been proposed. The algorithm achieves good performance in terms of minimizing energy consumption during data transmission and energy consumptions are distributed uniformly among all nodes. ANCAEE uses a new method of clusters formation and election of cluster heads. The algorithm ensures that a node transmits its data to the cluster head with a single hop transmission and cluster heads forward their data to the base station with multi-hop transmissions. Simulation results show that our approach consumes less energy and effectively extends network utilization.

关键词： Sensor Nodes Clusters Cluster heads Wireless Sensor networks Base Station Clustering Algorithms Energy Efficiency

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Base62x: An alternative approach to Base64 for non-alphanumeric characters

Base62x: An alternative approach to Base64 for non-alphanume...

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2011 8th International Conference on Fuzzy systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11

作者： Liu, Zhenxing Liu, Lu Hill, Richard Zhan, Yongzhao Distributed and Intelligent Systems Research Group School of Computing and Mathematics University of Derby United Kingdom School of Computer Science and Telecommunication Engineering Jiangsu University Jiangsu China

ISBN: (纸本)9781612841816

In computer systems, printable characters include not only 62 alphanumeric characters (0-9, a-z and A-Z) but also non-alphanumeric characters (e.g. *, \, , %). Base64 is a commonly used encoding scheme that represents binary data in an ASCII string format. However, for Base64, non-alphanumeric characters (e.g. *, \, , %) are problematic for filenames and URLs. For example, + is error-prone in URL and/ is not allowed in filenames. To address this issue, we propose a new method, Base62x, as an alternative approach to Base64. The proposed method is more effective in application development and fully compatible with symbol-sensitive applications, such as, file systems, IP addresses and safe transmission of non-ASCII over the Internet. © 2011 IEEE.

关键词： 62 alphanumeric character ASCII string format Base16 Base62x Base62x Base64 Base64 Colon computers Decoding Educational institutions Encoding Encyclopedias IP address Internet Internet Internet Numeric notation URL binary data character sets computer system digital arithmetic encoding encoding scheme file name file system nonASCII nonalphanumeric character printable character symbol-sensitive application

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Base62x: An Alternative Approach to Base64 for non-Alphanumeric Characters

Base62x: An Alternative Approach to Base64 for non-Alphanume...

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2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

作者： Zhenxing Liu Richard Hill Lu Liu Yongzhao Zhan Distributed and Intelligent Systems Research Group School of Computing and Mathematics University Distributed and Intelligent Systems Research Group School of Computing and Mathematics University School of Computer Science and Telecommunication Engineering Jiangsu University Jiangsu China

In computer systems, printable characters include not only 62 alphanumeric characters (0-9, a-z and A-Z) but also non-alphanumeric characters (e.g. *, \, ∧, ％). Base64 is a commonly used encoding scheme that represents binary data in an ASCII string format However, for Base64, non-alphanumeric characters (e.g. *, \, ∧, ％) are problematic for filenames and URLs. For example, “+” is error-prone in URL and “/” is not allowed in filenames. To address this issue, we propose a new method, Base62x, as an alternative approach to Base64. The proposed method is more effective in application development and fully compatible with symbol-sensitive applications, such as, file systems, IP addresses and safe transmission of non-ASCII over the Internet.

关键词： Base62x Base64 Numeric notation Basel6

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