ppxscal/embedding_network huggingface dataset:
A knowledge base framework for information security metrics (KBFISM) in large organisations for military and similar use
Authors: Konstantinos Siassiakos, Nick Glezakos
Venue: Proceedings of the 8th conference on Signal, Speech and image processing (2008)

The present study deals with the task of developing a Knowledge Base Framework for Information Security Metrics (KBFISM) in large organisations for military and similar use. This framework will depict in general all governing parameters that define IT security matters. The typical systemic approach of the Knowledge Based Framework will be the one initially presented by a conceptual ontology. An illustration of the KBFISM ontology will be a taxonomy table that respects the ontology entities and furthers their analysis assigning properties to these entities according to certain logic.
An Efficient Framework for Scalable Defect Isolation in Large Scale Networks of DNA Self-Assembly
Authors: Masaru Fukushi, Susumu Horiguchi, Luke Demoracski, Fabrizio Lombardi
Venue: Journal of Electronic Testing: Theory and Applications (2009)

This paper proposes and evaluates an approach for defect isolation of DNA self-assembled networks made of a large number of processing nodes. The complexity of DNA self-assembled networks makes impractical to add a large amount of redundancy and employ inefficient and unscalable defect tolerant schemes. A previous framework based on a broadcast algorithm isolates defective nodes without incorporating redundancy for nodes. However, its disadvantage is the limited scalability, thus making it unsuitable for extremely large scale networks built by DNA self-assembly. The proposed framework improves upon the previous framework by involving three algorithmic tiers; namely, 1-hop wave expansion, efficient via placement, and unsafe node detection. The performance of the proposed framework is evaluated and compared with the original framework by considering large scale networks (up to 2,000 × 2,000 nodes), and a novel gross defect model (as well as a conventional random defect model as assumed in previous works). Simulation results indicate that the proposed framework outperforms the original framework in broadcast latency and efficiency and shows excellent scalability for DNA self-assembled nano-scale networks.
Development of RFID-based Reverse Logistics System
Authors: C. K. M. Lee, T. M. Chan
Venue: Expert Systems with Applications: An International Journal (2009)

Reverse logistics, which is the management or return flow due to product recovery, goods return, or overstock, form a closed-loop supply chain. The success of the closed-loop supply chain depends on actions of both manufacturers and customers. Now, manufacturers require producing products which are easy for disassembly, reuse and remanufacturing owing to the law of environmental protection. On the other hand, the number of customers supporting environmental protection by delivering their used products to collection points is increasing. According to the findings, the total cost spent in reverse logistics is huge. In order to minimize the total reverse logistics cost and high utilization rate of collection points, selecting appropriate locations for collection points is critical in reverse logistics. This paper proposes a genetic algorithm to determine such locations in order to maximize the coverage of customers. Also, the use of RFID is suggested to count the quantities of collected items in collection points and send the signal to the central return center. This can facilitate the vehicle scheduling for transferring the items from collection points to the return center. The significance of this research is the proposal of RFID-based reverse logistics framework and optimization of locations of collection points which allow economically and ecologically reasonable recycling. Simulation results indicated that the genetic algorithm is able to produce good-quality solutions in terms of coverage of collection points by choosing suitable locations for collection points and RFID can help detect the quantity of returned products so as to increase efficiency of logistics operations.
Rigorous analysis of resonance wavelength in optical fiber gratings
Authors: H. Vajed-Samei, H. Mehdipour
Venue: Proceedings of the 6th conference on Microelectronics, nanoelectronics, optoelectronics (2007)

In this paper, the exact dispersion formulations have been used to obtain the resonance wavelength in a typical three-layer optical fiber grating. Furthermore, the variation of the resonance wavelength is determined versus external index and fiber parameters. The results obtained by approximate formulations in previous works show a good agreement with our obtained results.
Online Task Scheduling for the FPGA-Based Partially Reconfigurable Systems
Authors: Yi Lu, Thomas Marconi, Koen Bertels, Georgi Gaydadjiev
Venue: Proceedings of the 5th International Workshop on Reconfigurable Computing: Architectures, Tools and Applications (2009)

Given the FPGA-based partially reconfigurable systems, hardware tasks can be configured into (or removed from) the FPGA fabric without interfering with other tasks running on the same device. In such systems, the efficiency of task scheduling algorithms directly impacts the overall system performance. By using previously proposed 2D scheduling model, existing algorithms could not provide an efficient way to find all suitable allocations. In addition, most of them ignored the single reconfiguration port constraint and inter-task dependencies. Further more, to our best knowledge there is no previous work investigating in the impact on the scheduling result by reusing already placed tasks. In this paper, we focus on online task scheduling and propose task scheduling solution that takes the ignored constraints into account. In addition, a novel "reuse and partial reuse" approach is proposed. The simulation results show that our proposed solution achieves shorter application completion time up to 43.9% and faster single task response time up to 63.8% compared to the previously proposed stuffing algorithm.
Progress on the network layer of the OSI reference model
Authors: Peter F. Linington
Venue: Proceedings of the May 16-19, 1983, national computer conference (1983)

Work in the International Standards Organization on communication protocols is structured in terms of the Open Systems Interconnection Reference Model. The network layer of this model provides independence of network technology, including details of routing and switching. The standardization activities involve definition of the service provided by this layer in the Open Systems Interconnection structure, the organization of functions within the layer, and the specification of protocols to support them. The structure described allows communication systems to exploit a wide range of different network types while preserving a uniform set of user facilities. The work on the network layer is of vital importance to the acceptance of the new communication standards and their early application to practical networking problems.
Using the bootstrap for finite sample confidence intervals of the log periodogram regression
Authors: Josu Arteche, Jesus Orbe
Venue: Computational Statistics Data Analysis (2009)

Log periodogram regression is widely applied in empirical applications to estimate the memory parameter, d, of long memory time series. This estimator is consistent for d
The interaction of map resolution and spatial abilities on map learning
Authors: Christopher A. Sanchez, Russell J. Branaghan
Venue: International Journal of Human-Computer Studies (2009)

This study investigated how the addition of enhanced perceptual detail in a navigation interface interacts with learner characteristics and ultimately impacts learning; specifically memory for a route on a map. Previous research has shown both facilitative and prohibitive effect of adding perceptual detail to user interfaces. However, it is not clear how adding this kind of resolution might also interact with learner abilities. This study evaluated how well routes were remembered from maps that were either enhanced with actual satellite photography or presented in more traditional (low resolution) form by learners who differed in spatial ability. Results indicated that learners recalled a mapped route significantly better in the low perceptual detail condition than in the high detail condition and spatial visualization ability significantly predicted success on these tasks whereas mental rotation ability did not. Thus, it appears that the addition of perceptual detail not only affects learning, but also interacts with learner ability.
Social responses in mobile messaging: influence strategies, self-disclosure, and source orientation
Authors: Dean Eckles, Doug Wightman, Claire Carlson, Attapol Thamrongrattanarit, Marcello Bastea-Forte, B. J. Fogg
Venue: Proceedings of the 27th international conference on Human factors in computing systems (2009)

This paper reports on a direct test of social responses to communication technologies theory (SRCT) with mobile messaging. SRCT predicts that people will mindlessly respond to computers in social ways that mirror their responses to humans. A field experiment (N=71) using participants' own mobile phones compared three influence strategies (direct request, flattery, and social norms) in the context of asking intimate questions of participants. These messages came from either an ostensibly human or computer sender. Flattery significantly increased self-disclosure when ostensibly sent by a human, but not when from a computer. The interaction effect for sender and influence strategy is inconsistent with SRCT's predictions. Implications for theories of source orientation, research methods, and future research are discussed.
A multimodality image registration framework for synchronous visualization of radiotherapy plans with longitudinal imaging studies
Authors: Chang-Yu Wang, Tsair-Fwu Lee, Chun-Hsiung Fang
Venue: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication (2009)

The introduction of adaptive image-guided radiotherapy (IGRT) in the radiotherapy environment has contributed to the rapid accumulation of medical image data, often making it difficult to consolidate information on a single patient. For oncology patients, the lack of data integration can negatively impact on patient care. We propose a multimodality image registration framework (MIRF) for radiotherapy plans to be registered automatically with longitudinal follow-up images. Volume visualization is proved to display changes in serial medical images, and transformed dose distribution and mesh models of radiotherapy targets can be superimposed on these successive images.
Improve Communication Efficiency for the Physiological Information Monitor System Based on Zigbee
Authors: Teng Jiao, Kun Zhang, Wen Zhang, Xiuzhen Dong
Venue: Proceedings of the 2009 Second International Symposium on Intelligent Information Technology and Security Informatics (2009)

This paper designs one physiological information monitor system based on the ZigBee wireless communication protocol. The hardware structure is presented. The network communication characteristic of this system was analyzed. The paper points out the disadvantage of the connection method in the ZigBee protocol. One improved connection method is proposed. Through carries on the comparison and the simulation to the routing mechanism of the ZigBee protocol, we choose the Z-AODV routing mechanism. The experimental and simulation results show that the communicational efficiency and stability have been enhanced.
Eggy Robot
Authors: Yoichiro Kawaguchi
Venue: ACM SIGGRAPH ASIA 2008 artgallery: emerging technologies (2008)

The most recent progress on the Eggy Robot project, which aims to synthesise a robot that helps us feel and imagine the emergence of primeval organisms.
Modeling of the human operator reliability with the aid of the Sugeno fuzzy knowledge base
Authors: A. P. Rotshtein, S. D. Shtovba
Venue: Automation and Remote Control (2009)

Whenever a problem to predict and ensure reliability of human-machine systems is posed, regression models are usually applied to evaluate the influence of different factors on faultlessness, exactitude, operating speed, and other characteristics of the operator performance. The Sugeno fuzzy knowledge bases are proposed to model multi-factor relations of reliability. It is shown that this approach allows to combine expert knowledge and analytical relations of the parametric reliability theory in operator activity models. The expert component of a model provides with a comprehensive interpretation, while analytical input-output relations make a model compact. Appropriate examples are presented to demonstrate advantages of the Sugeno knowledge base application to describe multi-factor reliability relations of human operator.
Energy optimization for proactive unicast route maintenance in MANETs under end-to-end reliability requirements
Authors: Tridib Mukherjee, Sandeep K. S. Gupta, Georgios Varsamopoulos
Venue: Performance Evaluation (2009)

Many time-critical applications for Mobile Ad hoc NETworks (MANETs), such as the military applications and disaster response, call for proactive link and route maintenance to ensure low latency for reliable data delivery. The goal of this paper is to minimize the energy overhead due to the high control traffic caused by the periodic route and link maintenance operations in the proactive routing protocols for MANETs. This paper - (i) categorizes the proactive protocols based on the maintenance operations performed; (ii) derives analytical estimates of the optimum route and link update periods for the different protocol classes by considering (a) the data traffic intensity, (b) link dynamics, (c) target reliability, measured in terms of Packet Delivery Ratio (PDR), and (d) the network size; and (iii) proposes a network layer dynamic Optimization of Periodic Timers (OPT) method based on the analytical estimates to locally vary the update periods in the distributed nodes. Simulation results show that DSDV-Opt, a variation of DSDV protocol using OPT, - (i) achieves the target PDR with 98.7% accuracy while minimizing the overhead energy; (ii) improves the protocol scalability; and (iii) reduces the control traffic for low data traffic intensity.
Fast Content-Based Mining of Web2.0 Videos
Authors: Sébastien Poullot, Michel Crucianu, Olivier Buisson
Venue: Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing (2008)

The accumulation of many transformed versions of the same original videos on Web2.0 sites has a negative impact on the quality of the results presented to the users and on the management of content by the provider. An automatic identification of such content links between video sequences can address these difficulties. We put forward a fast solution to this video mining problem, relying on a compact keyframe descriptor and an adapted indexing solution. Two versions are developed, an off-line one for mining large databases and an online one to quickly post-process the results of keyword-based interactive queries. After demonstrating the reliability of the method on a ground truth, the scalability on a database of 10,000 hours of video and the speed on 3 interactive queries, some results obtained on Web2.0 content are illustrated.
Research on IETM Technical Data Processing Method Based on XML and Relational DataBase
Authors: Heping Peng, Lili Jiang, Xiaoying Xi, Huiyuan Ren
Venue: Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics (2009)

Organizing and managing lots of technical data which is needed in developing IETM(Interactive Electronic Technical Manual) is of great significance. In order to guarantee the platform-independent of technical data in IETM development and the data storage security, XML documents are used for describing data, while relational database is used for storing data. The mapping relation between XML documents and relational databases is established. And the algorithm about data transformation between XML documents and relational database are presented.
Empirical likelihood for linear models with missing responses
Authors: Liugen Xue
Venue: Journal of Multivariate Analysis (2009)

The purpose of this article is to use an empirical likelihood method to study the construction of confidence intervals and regions for the parameters of interest in linear regression models with missing response data. A class of empirical likelihood ratios for the parameters of interest are defined such that any of our class of ratios is asymptotically chi-squared. Our approach is to directly calibrate the empirical log-likelihood ratio, and does not need multiplication by an adjustment factor for the original ratio. Also, a class of estimators for the parameters of interest is constructed, and the asymptotic distributions of the proposed estimators are obtained. Our results can be used directly to construct confidence intervals and regions for the parameters of interest. A simulation study indicates that the proposed methods are comparable in terms of coverage probabilities and average lengths/areas of confidence intervals/regions. An example of a real data set is used for illustrating our methods.
Performance Matching of Hardware Acceleration Engines for Heterogeneous MPSoC Using Modular Performance Analysis
Authors: Hritam Dutta, Frank Hannig, Jürgen Teich
Venue: Proceedings of the 22nd International Conference on Architecture of Computing Systems (2009)

In order to meet demanding challenges of increasing computational requirements and stringent power constraints, there is a gradual trend towards heterogeneous multi-processor system-on-chip (MPSoC) designs integrating application specific acceleration engines. One major problem faced by the design tools for mapping of algorithms onto MPSoC architectures is the dimensioning of system components through performance analysis. In this paper, we propose a fast and accurate methodology for rate matching of statically scheduled acceleration engines using modular performance analysis. Given a set of Pareto-optimal hardware accelerator designs and an input workload behavior, the proposed methodology determines cost efficient hardware accelerators that can handle the workload. A motion JPEG case study illustrates the benefit of coupling high level synthesis tools with performance analysis.
Some transformation techniques with applications in global optimization
Authors: Andreas Lundell, Joakim Westerlund, Tapio Westerlund
Venue: Journal of Global Optimization (2009)

In this paper some transformation techniques, based on power transformations, are discussed. The techniques can be applied to solve optimization problems including signomial functions to global optimality. Signomial terms can always be convexified and underestimated using power transformations on the individual variables in the terms. However, often not all variables need to be transformed. A method for minimizing the number of original variables involved in the transformations is, therefore, presented. In order to illustrate how the given method can be integrated into the transformation framework, some mixed integer optimization problems including signomial functions are finally solved to global optimality using the given techniques.
A computer graphical user interface for survival mixture modelling of recurrent infections
Authors: Andy H. Lee, Yun Zhao, Kelvin K. W. Yau, S. K. Ng
Venue: Computers in Biology and Medicine (2009)

Recurrent infections data are commonly encountered in medical research, where the recurrent events are characterised by an acute phase followed by a stable phase after the index episode. Two-component survival mixture models, in both proportional hazards and accelerated failure time settings, are presented as a flexible method of analysing such data. To account for the inherent dependency of the recurrent observations, random effects are incorporated within the conditional hazard function, in the manner of generalised linear mixed models. Assuming a Weibull or log-logistic baseline hazard in both mixture components of the survival mixture model, an EM algorithm is developed for the residual maximum quasi-likelihood estimation of fixed effect and variance component parameters. The methodology is implemented as a graphical user interface coded using Microsoft visual C++. Application to model recurrent urinary tract infections for elderly women is illustrated, where significant individual variations are evident at both acute and stable phases. The survival mixture methodology developed enable practitioners to identify pertinent risk factors affecting the recurrent times and to draw valid conclusions inferred from these correlated and heterogeneous survival data.
Modelling and Verifying Mobile Systems Using π-Graphs
Authors: Frédéric Peschanski, Joël-Alexis Bialkiewicz
Venue: Proceedings of the 35th Conference on Current Trends in Theory and Practice of Computer Science (2009)

This paper introduces the &pi;-graphs, a graphical model of mobile interactions that tries to accommodate the expressivity of the &pi;-calculus and the intuitiveness of place-transition nets. Graph rewriting techniques are used to describe the operational semantics of &pi;-graphs. The bijective encoding/decoding of &pi;-graphs allows to mix transparently graphical and term-based proof techniques, which leads to a dual characterization of bisimilarity. The main originality of this characterization is the synchronous interpretation it provides: each graph/term being attached to a clock evolving at the rate of interactions with the environment. This gives new opportunities for the design of efficient verification algorithms for mobile systems.
Process of indexing and querying for theatrical texts
Authors: Tahiry Andriamarozakaniaina, Véronique Gaildrat, Matthieu Pouget
Venue: Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology (2008)

We briefly present a tool, called DRAMAtexte, for indexing theatrical texts in order to emphasize the existing informations about characters, sets, and accessories. After the indexation step, a process of simple or crossed querying allows the user an easy access to the previously indexed informations.
A Novel Quality of Service Assessment of Multimedia Traffic over Wireless Ad Hoc Networks
Authors: Yazeed A. Al-Sbou, Reza Saatchi, Samir Al-Khayatt, Rebecca Strachan, Moussa Ayyash, Mohammad Saraireh
Venue: Proceedings of the 2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies (2008)

With the extensive growth of the Internet, wireless technology, and multimedia applications, Quality of Service (QoS) monitoring and measurement of the networks have become important. Network measurements are carried out to obtain information about important QoS parameters such as delay, loss and jitter. Each type of multimedia applications has its own requirements and limits on these parameters. To evaluate the QoS of multimedia applications transmitted over wireless networks, a fuzzy logic assessment system has been developed. The system showed how the end-to-end QoS could be measured without the necessity for complex mathematical models. The measured QoS were classified into three categories Good, Average, and Poor regions. In addition, and based on the proposed system, the distributions and the overall QoS were estimated. The results indicated that the measured QoS was a good indication of the network conditions and resource availability.