Security is one of the critical attributes of any communication network. Various attacks have been reported over the last years but mainly denial of service effects entire network in a drastic way. So many mechanisms ...
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The spectrum of cloud service providers has become large these days with increasing popularity of cloud computing as a service. These services appear to be similar in their approaches excepting that they vary in their...
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Design science research should be relevant, valuable, purposeful and prescriptive. Its value as a relevant source of prescriptions implies the practical usefulness of its results beyond a single expository instantiati...
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ISBN:
(纸本)9783319187143;9783319187136
Design science research should be relevant, valuable, purposeful and prescriptive. Its value as a relevant source of prescriptions implies the practical usefulness of its results beyond a single expository instantiation. But propagation of such design science products as design principles and theories appears to be a key challenge. In this paper we commence with a DESRIST paper from 2012 that instantiated design principles in an artifact for a bank. That paper included plans and techniques for future use of its principles (propagation), including prescriptions for a five-phase adoption process. In this paper we discuss the propagation issues around generalizing design science research across multiple contexts and propose alternative propagation concepts of projectability and entrenchment. The existing concepts around generalizability have issues that make them less suitable for design science research: context (local/possible worlds) and theoretical statements based on functional explanations. A projection is any relevant instance that supports a theory. Projectability involves defining the relationship between a base case or evidence and a projection. Entrenchment occurs when design principles or theories have stimulated many actual projections. We demonstrate these concepts in a case study of propagation: a chemical manufacturer and service provider that adopted the design principles arising from that 2012 DESRIST banking-based design science research. We conclude that generalizability is too well-oriented to descriptive research and argue that a more appropriate framing for design science research is projectability and entrenchment. The paper includes recommendations to increase the projectability of design science research.
It is clear to the public that when it comes to privacy, computers and "secure" communication over the Internet cannot fully be trusted. Chaum introduced code voting as a solution for using a possibly infect...
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ISBN:
(纸本)9783319222707;9783319222691
It is clear to the public that when it comes to privacy, computers and "secure" communication over the Internet cannot fully be trusted. Chaum introduced code voting as a solution for using a possibly infected-by-malware device to cast a vote in an electronic voting application. He trusted the mail system. However, a conspiracy between the mail system and the recipient of the cast ballots breaks privacy. Considering a t-bounded passive adversary, we remove the trust in the mail. We propose both single and multi-seat elections, using PSMT protocols (SCN 2012) where with the help of visual aids, humans can carry out mod10 addition correctly with a 99% degree of accuracy. We introduce an unconditionally secure MIX based on the combinatorics of set systems.
The goal of this paper is to propose a system that can extract formal semantic knowledge representation from natural language eGov policies. We present an architecture that allows for extracting Controlled Natural Lan...
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Patients' access to their own electronic health record is a controversial issue. Many care professionals are concerned about negative effects deriving from patients reading their record information without support...
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Patients' access to their own electronic health record is a controversial issue. Many care professionals are concerned about negative effects deriving from patients reading their record information without support from clinicians. Patients on the other hand often think their concerns are outweighed by the benefits. In Sweden a pilot county has provided the health record online to its 350 000 patients for 2.5 years. This study highlights one of the most important questions to handle before and during implementation of such public eHealth services;the opinions of the care professionals regarding online records as a good reform. Results from three questionnaires to various care professions show that opinions from healthcare professionals differ not only between the professions but more importantly also between those who have experience from their patients reading their health record online and those who to date have no real experience. The experienced staff was more positive. This study concludes that in order to provide for successful national implementation, it is important to quickly elicit and disseminate opinions of care professionals with real experience to their unexperienced peers. Healthcare professionals should also be more involved in the implementation of Public eHealth services that regard electronic health records and their work processes. (C) 2015 The Authors. Published by Elsevier B.V.
It is important to predict the total workload for facilitating auto scaling resource management in service cloud platforms. Currently, most prediction methods use a single prediction model to predict workloads. Howeve...
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ISBN:
(纸本)9783662486160;9783662486153
It is important to predict the total workload for facilitating auto scaling resource management in service cloud platforms. Currently, most prediction methods use a single prediction model to predict workloads. However, they cannot get satisfactory prediction performance due to varying workload patterns in service clouds. In this paper, we propose a novel prediction approach, which categorizes the workloads and assigns different prediction models according to the workload features. The key idea is that we convert workload classification into a 0-1 programming problem. We formulate an optimization problem to maximize prediction precision, and then present an optimization algorithm. We use real traces of typical online services to evaluate prediction method accuracy. The experimental results indicate that the optimizing workload category is effective and proposed prediction method outperforms single ones especially in terms of the platform cumulative absolute prediction error. Further, the uniformity of prediction error is also improved.
Deep Learning is a hot topic developed by the industry and academia which integrates the broad field of artificial intelligence with the deployment of deep neural networks in the big data era. Recently, the capability...
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ISBN:
(纸本)9783319252551;9783319252544
Deep Learning is a hot topic developed by the industry and academia which integrates the broad field of artificial intelligence with the deployment of deep neural networks in the big data era. Recently, the capability to train neural networks has resulted in state-of-the-art performance in many domains such as computer vision, speech recognition, recommended system, natural language processing, drug discovery and behavioural analysis etc. However, existing deep learning systems are inadequate for scaling, especially in current cloud infrastructures where the nodes are distributed across multiple geographical location. The tendency is evolving that deep learning must be collaborative optimized by the fields both machine learning and systems. In this paper, we have presented DistDL, a novel distributed deep learning service schema in order to reduce the training time consumption along with communication overhead and achieve extremely parallelism with data and model. Additionally, we also took into consideration GPUs inside DistDL by leveraging the remarkable competency of heterogeneous computation. The results of our experiments in the benchmarks suggest that DistDL is adaptive to various scaling patterns with the same accuracy while minimising training time by adopting the GPU, up to 80% speed up.
The Smart parts are the trend of the development of IOT, which means the parts have the wisdom nodes, and use wisdom nodes to record all kinds of parts description information or run stateSmart parts can to solve the ...
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The Smart parts are the trend of the development of IOT, which means the parts have the wisdom nodes, and use wisdom nodes to record all kinds of parts description information or run stateSmart parts can to solve the smart device access, control, and information conversion and transmission problems under complex environmentIt can greatly improve the security, reliability and scalability of the systemThis paper focuses on the key technology of the research of wisdom part in intelligent building information conversionFirst, analysis the integration trends of intelligent building systems concluded that the IP bus is one of the main directions of the future of intelligent buildings applicationsSecond, based on preliminary studies of wisdom part, propose the three key techniques of the wisdom parts in the intelligent building information conversion technology, and then gives the realization methodThird, designed and implemented the wisdom LED energy-saving lampsIt will eventually be used in library study room lighting upgrade projectPractice shows that the method can greatly reduce the difficulty of construction and save system test timePractice shows that the energy-saving of new lighting system effectiveTheoretically for the new technology could bring more than 30% of the energy-saving effect.
Mobile devices are everywhere nowadays, such as mobile phone, mobile tablets. Meanwhile, various malwares on mobile terminals are emerging one after another, especially on the open-source Android system. Traditional d...
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