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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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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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Hacker Contest 1

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丛书名： Xpert.press

1000年

作者： Markus Schumacher Utz Rödig Marie-Luise Moschgath

ISBN: (数字)9783642558344

ISBN: (纸本)9783540411642;9783642625060

Die Sicherheit einer IT-Komponente hängt meist direkt von einer oder mehreren anderen Komponenten ab, wobei diese Abhängigkeiten komplex und schwer erfassbar sind. In diesem Buch wird das Thema Sicherheit daher systematisch betrachtet: Lösungen für immer wiederkehrende Sicherheitsprobleme werden erstmals in Form von "Security Patterns" dargestellt. Die Grundlage hierfür bilden langjährige Erfahrungen, die im Rahmen des "Hacker Contest" gesammelt wurden. Die Grundsätze des Hackens bzw. Crackens sowie prinzipieller Angriffs- und Schutzkonzepte werden vermittelt. Um Sicherheitslücken erkennen und effizient schliessen zu können, muss ein Sicherheitsexperte in der Lage sein, Netze und Systeme aus der Sicht eines Angreifers zu verstehen. Hierbei hilft ihm die konsequent praxisbezogene Darstellung der Autoren.

关键词： Data Structures and Information Theory Mathematics of Computing Artificial Intelligence Operating systems

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Assessing mowing intensity:A new index incorporating frequency,type of machinery,and technique

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Grassland Research 2024年第3期3卷 264-274页

作者： Margarita Hartlieb Sebastian Raubitzek Johanna L.Berger Michael Staab Juliane Vogt Manfred Ayasse Andreas Ostrowski Wolfgang Weisser Nico Blüthgen Ecological Networks Department of BiologyTechnical University of DarmstadtDarmstadtGermany SBA-Research ViennaAustria Natura 2000-Station Unstrut-Hainich/Eichsfeld Wildtierland Hainich gGmbHHörselberg-HainichGermany Institute of Evolutionary Ecology and Conservation Genomics Ulm UniversityUlmGermany Heinz Nixdorf Chair for Distributed Information Systems Faculty of Mathematics and Computer ScienceFriedrich Schiller UniversityJenaGermany Department of Life Science Systems School of Life SciencesTechnical University of MunichTerrestrial Ecology Research GroupFreisingGermany

Background:Only a few decades ago,colorful,small-scale,heterogeneous,and species-rich hay meadows or extensive pastures were common,but have often been replaced by species-poor,uniform,large-scale multicut *** advancements and improved efficiency in grassland management have come at the cost of ***:In Germany,150 grassland plots have been investigated since *** these extensive data,we propose a new compound index for estimating the site-specific mowing intensity in order to facilitate assessment of the impact of mowing intensity on biodiversity and ecosystem *** index integrates the various qualitative components of mowing machine type,mowing height and use of a conditioner,with the annual number of ***:The newly proposed index achieves a much finer gradation of mowing intensity compared to the previous quantification based on the number of cuts ***,a decrease in plant and arthropod species was observed at higher mowing ***:The proposed mowing intensity index offers enhanced precision in calculations and can easily be integrated into assessments of land-use intensity in ***,it could serve as a basis for providing subsidies to farmers,who adopt low-impact mowing practices.

关键词： applications conditioner mower mowing height number of cuts species richness

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Toward Requirements Engineering for Self - Organizing Multi - Agent systems

Toward Requirements Engineering for Self - Organizing Multi ...

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International Conference on Self-Adaptive and Self-Organizing systems (SASO)

作者： Jan Sudeikat Wolfgang Renz Distributed Systems and Information Systems (VSIS) Group Computer Science Department University of Hamburg Hamburg Germany Multimedia Systems Laboratory (MMLab) Faculty of Engineering and Computer Science Hamburg University of Applied Sciences Hamburg Germany Multimedia Systems Laboratory (MMLab) Faculty of Engineering and Computer Science (GMTLab) Hamburg University of Applied Sciences Hamburg Germany

Since Multi-Agent systems (MAS) are composed of sets of (inter-)acting autonomous and pro-active agents, they provide suitable concepts to the construction of self- organizing processes, promising robust and adaptive system behaviors. An examination of current software-engineering approaches to self-organizing MAS identified a lack of requirement engineering approaches, established in general- purpose engineering methodologies. As self-organizing dynamics are typically utilized to enforce continuous MAS adjustment we discuss how expectations on MAS adaptivity can be expressed and validated, considering both the intended system configurations as well as the system dynamics that steer system (re-)configuration. We argue that self-organizing MAS development typically intends recurring pattern of system dynamics and exemplify their specification and validation, transferring requirements engineering practices to self-organizing MAS development.

关键词： Organizing computer science Best practices Application software Multimedia systems Laboratories Multiagent systems Robustness Adaptive systems Design engineering

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Exchanging Data Agreements in the DaaS Model

Exchanging Data Agreements in the DaaS Model

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IEEE Asia-Pacific Conference on Services Computing (APSCC)

作者： Hong-Linh Truong Schahram Dustdar Joachim Gotze Tino Fleuren Paul Muller Salah-Eddine Tbahriti Michael Mrissa Chirine Ghedira Distributed Systems Group University of Technology Vienna Austria Department of Computer Science University of Kaiserslautern Germany LIRIS UMR5205 Université de Lyon CNRS France

Rich types of data offered by data as a service(DaaS) in the cloud are typically associated with different and complex data concerns that DaaS service providers, data providers and data consumers must carefully examine and agree with before passing and utilizing data. Unlike service agreements, data agreements, reflecting conditions established on the basis of data concerns, between relevant stakeholders have got little attention. However, as data concerns are complex and contextual, given the trend of mixing data sources by automated techniques, such as data mash up, data agreements must be associated with data discovery, retrieval and utilization. Unfortunately, exchanging data agreements so far has not been automated and incorporated into service and data discovery and composition. In this paper, we analyze possible steps and propose interactions among data consumers, DaaS service providers and data providers in exchanging data agreements. Based on that, we present a novel service for composing, managing, analyzing data agreements for DaaS in cloud environments and data marketplaces.

关键词： Data models Licenses Joining processes Couplings Data privacy Data structures Law enforcement

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On the Influence of Thread Allocation for Irregular Codes in NUMA systems

On the Influence of Thread Allocation for Irregular Codes in...

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IEEE International Conference on parallel and distributed Computing, Applications and Technologies (PDCAT)

作者： Juan A. Lorenzo Francisco F. Rivera Peter Tuma Juan C. Pichel Computer Architecture Group Electronics and Computer Science Department University of Santiago de Compostela Spain Distributed Systems Research Group Department of Software Engineering Charles University Prague Czech Republic Galicia Supercomputing Centre Santiago de Compostela Spain

This work presents a study undertaken to characterise the FINISTERRAE supercomputer, one of the biggest NUMA systems in Europe. The main objective was to determine the performance effect of bus contention and cache coherency as well as the suitability of porting strategies regarding irregular codes in such a complex architecture. Results show that: (1) cores which share a socket can be considered as independent processors in this context; (2) for big data sizes, the effect of sharing a bus degrades the final performance but masks the cache coherency effects; (3) the NUMA factor (remote to local memory latency ratio) is an important factor on irregular codes and (4) the default kernel allocation policy is not optimal in this system. These results allow us to understand the behaviour of thread-to-core mappings and memory allocation policies.

关键词： Yarn Supercomputers Delay Europe Sockets Kernel Sparse matrices distributed computing Application software computer architecture

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Dependability issues of pervasive computing in a healthcare environment

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 2802卷 53-70页

作者： Bohn, Jürgen Gärtner, Felix Vogt, Harald Department for Computer Science Distributed Systems Group CH-8092 Zürich Switzerland Departement de Systèmes de Communications Laboratoire de Programmation Distribuée CH-1015 Lausanne Switzerland

This paper proposes that the healthcare domain can serve as an archetypical field of research in pervasive computing. We present this area from a technological perspective, arguing that it provides a wide range of possible applications of pervasive computing technology. We further recognize that pervasive computing technology is likely to create concerns about the security of healthcare systems, due to increased data aggregation, ubiquitous access, and increasing dependency on technical solutions. But we also justify why the same technology can help building more robust, more dependable systems that increase the quality of healthcare. We identify building blocks that are necessary to achieve this goal: a pervasive middleware, appropriate handling of exceptional situations, and dependability assertions for small devices. © Springer-Verlag 2004.

关键词： Ubiquitous computing

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Engineering safe, real-time distributed control systems

Engineering safe, real-time distributed control systems

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EUROMICRO Conference

作者： P. Croll C. Rudram C. Chambers N. Uchihira Communications and Distributed Systems Research Group Department of Computer Science University of Sheffield UK Toshiba Corporation Japan Software Engineering laboratories Toshiba Corporation Kawasaki Tokyo Japan

Reactive computer control systems need to track the behaviour of their inherently parallel physical environment. Hence, most non-trivial industrial applications may depend on concurrent modelling techniques to handle system complexities including hard real-time constraints. Failure of such systems can lead to unacceptable consequences and can therefore be deemed as safety-related with respect to their application. parallel and distributed systems can exhibit undesirable behaviours, e.g. deadlock, which could render a control system unsafe. The paper proposes that a set of undesirable parallel behaviours can be classified as unsafe for all applications and reviews a technique that can be employed to avoid or mitigate against them, The approach needed by software engineers of parallel and distributed systems to facilitate this and meet the minimal safety standards is also given.

关键词： Real time systems distributed control Control systems Application software Software safety Concurrent computing Physics computing Electrical equipment industry System recovery Software standards

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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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