Wireless sensor networks (WSNs) due to their deployment in open and unprotected environments become suspected to attacks. Most of the resource exhaustion occurs as a result of attacking the dataflow control thus crea...
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Wireless sensor networks (WSNs) due to their deployment in open and unprotected environments become suspected to attacks. Most of the resource exhaustion occurs as a result of attacking the dataflow control thus creating challenges for the security of WSNs. An Anomaly Detection System (ADS) framework inspired from the Human Immune System is implemented in this paper for detecting Sybil attacks in WSNs. This paper implemented an improved, decentralized, and customized version of the Negative Selection Algorithm (NSA) for dataflow anomaly detection with learning capability. Theuse of R-contiguous bit matching, which is a light-weighted bit matching technique, has reduced holes in the detection coverage. This paper compares the Sybil attack detection performance with three algorithms in terms of false negative, false positive, and detection rates. The higher detection, and lower false positive and false negative rates of the implemented technique due to the R-contiguous bit matching technique used in NSA improve the performance of the proposed framework. The work has been tested in Omnet++ against Sybil attacks for WSNs.
The low penetration of connectivity-enabled OBUs is delaying the deployment of vehicular networks (VNs) and therefore the development of vehicular delay tolerant network (VDTN) applications, among others. In this pape...
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The low penetration of connectivity-enabled OBUs is delaying the deployment of vehicular networks (VNs) and therefore the development of vehicular delay tolerant network (VDTN) applications, among others. In this paper we present GRCBox, an architecture based on Raspberry Pi that allows integrating smartphones in VNs. GRCBox is based on a low-cost device that combines several pieces of software to provide ad hoc and multi-interface connectivity to smartphones. Using GRCBox each application can choose the interface for its dataflows, which increases flexibility and will allow developers to easily implement applications based on ad hoc connectivity, such as VDTN applications.
Reports on the augmentation of an analysis of real-time perspective to generate user interface specifications. Use of a dataflow diagram to represent functional requirements of a system to be developed; Application o...
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Reports on the augmentation of an analysis of real-time perspective to generate user interface specifications. Use of a dataflow diagram to represent functional requirements of a system to be developed; Application of a set of heuristics to facilitate the design of three user interface styles, namely questions/answer, menu/form and command language.
Image segmentation is one of the most common procedures in medical imaging applications. It is also a very important task in breast cancer detection. Breast cancer detection procedure based on mammography can be divid...
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Image segmentation is one of the most common procedures in medical imaging applications. It is also a very important task in breast cancer detection. Breast cancer detection procedure based on mammography can be divided into several stages. The first stage is the extraction of the region of interest from a breast image, followed by the identification of suspicious mass regions, their classification, and comparison with the existing image database. It is often the case that already existing image databases have large sets of data whose processing requires a lot of time, and thus the acceleration of each of the processing stages in breast cancer detection is a very important issue. In this paper, the implementation of the already existing algorithm for region-of-interest based image segmentation for mammogram images on High-Performance Reconfigurable dataflow Computers (HPRDCs) is proposed. As a dataflow engine (DFE) of such HPRDC, Maxeler's acceleration card is used. The experiments for examining the acceleration of that algorithm on the Reconfigurable dataflow Computers (RDCs) are performed with two types of mammogram images with different resolutions. There were, also, several DFE configurations and each of them gave a different acceleration value of algorithm execution. Those acceleration values are presented and experimental results showed good acceleration.
The race to build ever-faster supercomputers is on, with more contenders than ever before. However, the current goals set for this race may not lead to the fastest computation for particular applications.
The race to build ever-faster supercomputers is on, with more contenders than ever before. However, the current goals set for this race may not lead to the fastest computation for particular applications.
作者:
X. San LiangSchool of Marine Sciences
Nanjing University of Information Science and Technology (Nanjing Institute of Meteorology) Nanjing 210044 and China Institute for Advanced Study Central University of Finance and Economics Beijing 100081 China
Given two time series, can one faithfully tell, in a rigorous and quantitative way, the cause and effect between them? Based on a recently rigorized physical notion, namely, information flow, we solve an inverse probl...
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Given two time series, can one faithfully tell, in a rigorous and quantitative way, the cause and effect between them? Based on a recently rigorized physical notion, namely, information flow, we solve an inverse problem and give this important and challenging question, which is of interest in a wide variety of disciplines, a positive answer. Here causality is measured by the time rate of information flowing from one series to the other. The resulting formula is tight in form, involving only commonly used statistics, namely, sample covariances; an immediate corollary is that causation implies correlation, but correlation does not imply causation. It has been validated with touchstone linear and nonlinear series, purportedly generated with one-way causality that evades the traditional approaches. It has also been applied successfully to the investigation of real-world problems; an example presented here is the cause-and-effect relation between the two climate modes, El Niño and the Indian Ocean Dipole (IOD), which have been linked to hazards in far-flung regions of the globe. In general, the two modes are mutually causal, but the causality is asymmetric: El Niño tends to stabilize IOD, while IOD functions to make El Niño more uncertain. To El Niño, the information flowing from IOD manifests itself as a propagation of uncertainty from the Indian Ocean.
The article focuses examines the performance of dataflow processor machine in Manchester, England. This Manchester project has developed a powerful dataflow processor based on dynamic tagging. This processor is large ...
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The article focuses examines the performance of dataflow processor machine in Manchester, England. This Manchester project has developed a powerful dataflow processor based on dynamic tagging. This processor is large enough to tackle realistic applications and exhibits impressive speedup for programs with sufficient parallelism. dataflow is a technique for specifying computations in a two-dimensional graphical form: instructions that are available for concurrent execution are written alongside one another, and instructions that must be executed in sequence are written one under the other. data dependencies between individual instructions are indicated by directed arcs. Instructions do not reference memory, since the data-dependence arcs allow data to be transmitted directly from generating instruction to subsequent instruction. Consequently, instructions can be viewed as pure operations. This perspective is described in the article. Each instruction can be activated independently by incoming data values. Execution commences as soon as all required input values for that instruction have arrived.
The solution of many large computational problems is an inherently concurrent process. But most existing computing systems are inherently sequential. This mismatch may be overcome by data-flowcomputing.
The solution of many large computational problems is an inherently concurrent process. But most existing computing systems are inherently sequential. This mismatch may be overcome by data-flowcomputing.
Compares two system analysis techniques, the dataflow Diagram and part of the Integrated Definition Method, using a developmental framework. Basic questions considered with respect to requirement analysis; Basic elem...
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Compares two system analysis techniques, the dataflow Diagram and part of the Integrated Definition Method, using a developmental framework. Basic questions considered with respect to requirement analysis; Basic elements to model an object system; Measures to evaluate the models.
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