ppxscal/embedding_network huggingface dataset:
The State of Metrics in Software Industry
Authors: Mauricio J. Ordonez, Hisham M. Haddad
Venue: Proceedings of the Fifth International Conference on Information Technology: New Generations (2008)

The role of metrics in software quality is well recognized. However, software metrics are yet to be standardized and integrated into development practices across software industry. While process, project, and product metrics share a common goal of contributing to software quality and reliability, utilization of metrics has been at minimum. This work is an effort to bring more attention to software metrics. It examines the practices of metrics in software industry and the experiences of some organizations that have developed, promoted, and utilized variety of software metrics. As various types of metrics are being developed and used, these experiences show evidence of benefits and improvements in quality and reliability.
Finite element analysis of three-dimensional vortical flow structure and topology inside a carotid bifurcation model
Authors: S. F. Tsai, Tony W. H. Sheu
Venue: International Journal of Computational Fluid Dynamics (2007)

Three-dimensional analysis of blood flow in the human carotid bifurcation model has been made using the streamline upwind Petrov-Galerkin finite element model. The primary aim of this study is to gain some insights into complex hemodynamics based on the topology theory. In addition, the preferential sites of atherosclerosis in the carotid model are predicted by virtue of the simulated critical lines.
An Energy-Efficient Geographic Routing with Location Errors in Wireless Sensor Networks
Authors: Julien Champ, Clément Saad
Venue: Proceedings of the The International Symposium on Parallel Architectures, Algorithms, and Networks (2008)

In wireless sensor networks, almost all geographic routing algorithms assume that sensors are accurately located. In this paper, we propose an Energy Efficient Geographic Routing algorithm (EEG-Routing). In our method, before the deployment of sensors in their environment, sensor positions are known with position error bounds which are potentially larges. According to this knowledge, it is possible to compute, before the deployment the probability that two sensors communicate. EEG-Routing introduces a new metric which defines, regarding to communication probabilities, energy consumptions and realized progress, communication costs between neighbors. EEG-Routing simultaneously optimizes two criteria: the energy consumption and the delivery rate, in networks where sensors are inaccurately located. Performances are validated by simulations which compare EEG-Routing with an energy-optimal algorithm.
Improving interaction responsiveness of multimedia presentations
Authors: Husam Alustwani, Jacques M. Bahi, Ahmed Mostefaoui
Venue: International Journal of Innovative Computing and Applications (2008)

The Management of user interactions in distributed multimedia presentations requires addressing new challenging issues. In this paper, we revue the semantic of VCR-like interactions. We argue that using VCR commands in the same way as it is done with video data (accelerating the presentation) is not suitable. Furthermore, those interactions are semantically linked to the content of the presentation; the final objective of users is to quickly browse and access a certain content. Firstly, we define a novel adequate semantic of VCR-like interactions for multimedia presentations. It considers human understanding of accelerated multimedia presentation, as the most important criterion to be taken into account. Secondly, we propose an integrated preloading and replacement strategy, named Content-based Prefetching Strategy (CPS) as a suitable buffer management strategy for those VCR-like functionalities. Finally, we show by multiple series of experimentations that CPS observes minimum response time for VCR-like interactions.
Hourly ozone prediction for a 24-h horizon using neural networks
Authors: Adriana Coman, Anda Ionescu, Yves Candau
Venue: Environmental Modelling Software (2008)

This study is an attempt to verify the presence of non-linear dynamics in the ozone time series by testing a ''dynamic'' model, evaluated versus a ''static'' one, in the context of predicting hourly ozone concentrations, one-day ahead. The ''dynamic'' model uses a recursive structure involving a cascade of 24 multilayer perceptrons (MLP) arranged so that each MLP feeds the next one. The ''static'' model is a classical single MLP with 24 outputs. For both models, the inputs consist of ozone and of exogenous variables: past 24-h values of meteorological parameters and of NO"2; concerning the ozone inputs, the ''static'' model uses only the 24 past measurements, while the ''dynamic'' one uses, also, the previously forecast ozone concentrations, as soon as they are predicted by the model. The outputs are, for both configurations, ozone concentrations for a 24-h horizon. The performance of the two models was evaluated for an urban and a rural site, in the greater Paris. Globally, the results indicate a rather good applicability of these models for a short-term prediction of ozone. We notice that the results of the recursive model were comparable with those obtained via the ''static'' one; thus, we can conclude that there is no evidence of non-linear dynamics in the ozone time series under study.
China's National Research Project on Wireless Sensor Networks
Authors: Lionel M. Ni
Venue: Proceedings of the 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008) (2008)

This talk will give an overview of the 5-year National Basic Research Program of China (also known as the 973 Program) on Wireless Sensor Networks that was launched in September 2006 and sponsored by the Ministry of Science and Technology. This national research project involves researchers from many major universities in China and Hong Kong, and aims to tackle fundamental research issues rising in three major application domains: coal mine surveillance, water pollution monitoring, and traffic monitoring and control. The distinctive feature of this project is that it will present a systematic study of wireless sensor networks, from node platform development, core protocol design and system solution development to critical problems. This talk will address the research challenges, current progress, and future plans.
Behavior-Preserving Simulation-to-Animation Model and Rule Transformations
Authors: Claudia Ermel, Hartmut Ehrig
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2008)

In the framework of graph transformation, simulation rules define the operational behavior of visual models. Moreover, it has been shown already how to construct animation rules from simulation rules by so-called S2A-transformation. In contrast to simulation rules, animation rules use symbols representing entities from the application domain in a user-oriented visualization. Using animation views for model execution provides better insights of model behavior to users, leading to an earlier detection of model inconsistencies. Hence, an important requirement of the animation view construction is the preservation of the behavior of the original visual model. This means, we have to show on the one hand semantical correctness of the S2A-transformation, and, on the other hand, semantical correctness of a suitable backwards-transformation A2S. Semantical correctness of a model and rule transformation means that for each sequence of the source system we find a corresponding sequence in the target system. S2A-transformation has been considered in our contribution to GraMoT 2006. In this paper, we give a precise definition for animation-to-simulation (A2S) backward transformation, and show under which conditions semantical correctness of an A2S backward transformation can be obtained. The main result states the conditions for S2A-transformations to be behavior-preserving. The result is applied to analyze the behavior of a Radio Clock model's S2A-transformation.
Dojo: Using the Dojo JavaScript Library to Build Ajax Applications, 1 edition
Authors: James E. Harmon
Venue: Developer'S Library (2008)

Dojo offers Web developers and designers a powerful JavaScript toolkit for rapidly developing robust Ajax applications. Now, for the first time, theres a complete, example-rich developers guide to Dojo and its growing library of prepackaged widgets. Reviewed and endorsed by the Dojo Foundation, the creators of Dojo, this book brings together all the hands-on guidance and tested code samples you need to succeed. Expert Web developer James E. Harmon begins by demonstrating how to Ajax-ify existing applications and pages with Dojo, adding Ajax features such as client- and server-side validation as quickly and nondisruptively as possible. Next, he presents in-depth coverage of Dojos user interface, form, layout, and specialized Widgets, showing how they work and how to use them most effectively. Among the Widgets, he covers in detail: Date Pickers, Rich Text Editors, Combo Boxes, Expandable Outlines, and many others. In conclusion, Harmon introduces the Dojo toolkits powerful capabilities for simplifying Ajax development. He thoroughly explains Dojos helper functions, shortcuts, and special methods, illuminating each feature with examples of the JavaScript problems it can solve. This sections far-ranging coverage includes strings, JSON support, event handling, Ajax remoting, Dojo and the DOM, testing, debugging, and much more. All source code examples are provided on a companion Web site, including source code for a complete tutorial case study application.
Capacity Analysis of High Data Rate Wireless Personal Area Networks
Authors: S. A. Mahmud, S. Khan, H. S. Al-Raweshidy
Venue: Proceedings of the Communication Networks and Services Research Conference (2008)

High data rate Wireless Personal Area Networks (WPANs) operate in a limited space with emphasis on supporting multi-media applications. The requirements for different types of voice and video codecs vary and therefore the resource allocation should be done accordingly. The efficient utilization of high data rate WPAN superframe is determined by the number of devices and the channel time allocated to them to support their respective applications. Since the MAC layer for high data rate WPANs is TDMA based, there is an upper limit on the practical data rate that can be supported considering fair utilization of the superframe. This paper discusses communication in a high data rate WPAN including various overheads imposed by different layers. It analyses the capacity of the superframe considering several application requirements at different transmitter data rates. The paper concludes by discussing some potential optimizations for fair utilization of the superframe and time allocation in WPANs.
JVC D-ILA high resolution, high contrast projectors and applications
Authors: Rod Sterling
Venue: Proceedings of the 2008 workshop on Immersive projection technologies/Emerging display technologiges (2008)

The development of the fifth generation D-ILA LCOS technology for 4K x 2.4K projection is reviewed along with a new projector optical engine that greatly increases system contrast ratio. The new 4K D-ILA incorporates a device aperture diagonal reduction from 1.70 inches to 1.27 inches and total pixel increases from 3840x2048 to 4096 x 2400 (~10 Megapixels). The highest resolution, aperture fill factor, and pixel density of any current projection display technology are achieved. The resolution of 4096 x 2400 is compatible with Digital Cinema standards. It also permits 4x enlarged WUXGA images for design and CAD applications. Also reviewed are JVC award winning Reference Series projectors, the RS1X and RS2, with very high contrast ratios exceeding 30,000:1 native dynamic range. D-ILA LCOS technology combines a nematic liquid crystal layer and a single crystal silicon CMOS backplane addressing circuit in a reflective mode display image modulator. D-ILA devices and projectors have been mass produced since 1998 starting with SXGA+ front projectors with the world's first demonstration of 4K x 2K projection in 2001, and an 8K x 4K dual projector system in 2005. To achieve a device contrast ratios of up to 40,000:1, the D-ILA homeotropic liquid crystal was optimized along with the surface flatness and specularity of the CMOS backplane. The new wire grid polarizer optical engine reduces scattered light to increase contrast ratio without a dynamic iris and the color management system increases the color gamut from a compact xenon arc lamp. The compact system and 3500 lumen output allows application in many venues. (Fig. 1)
Searching for a New Non-Invasive Method of Blood Circulation System Diagnostics
Authors: Kamil Ríha, Radim Cí
Venue: Proceedings of the Third International Conference on Systems (2008)

The paper presents the results of a study of some methods for acquiring data about the complex disposition of a patient’s blood circulation system. This applies, in particular, to long-time (24 – 48 hours) blood pressure measurements, without using inflatable cuffs, and to determining the degree of arterial elasticity degradation. The possibilities are described of blood vessel imaging in the near infrared (NIR) and the long wave infrared (LWIR, thermal radiation) spectra, 2D ultrasound imaging, together with a photoplethysmographic curve analysis. Finding a new non-invasive diagnostic method that increases patients’ comfort is the final objective of the project being solved.
A Statistical Algorithm for Linguistic Steganography Detection Based on Distribution of Words
Authors: Chen Zhi-li, Huang Liu-sheng, Yu Zhen-shan, Li Ling-jun, Yang Wei
Venue: Proceedings of the 2008 Third International Conference on Availability, Reliability and Security (2008)

In this paper, a novel statistical algorithm for linguistic steganography detection, which takes advantage of distribution of words in the text segment detected, is presented. Linguistic steganography is the art of using written natural language to hide the very presence of secret messages. Using the text data, which is the foundational media in internet communications, as its carrier, linguistic steganography plays an important part in Information Hiding (IH) area. The previous work was mainly focused on linguistic steganography and there were few researches on linguistic steganalisys. We attempt to do something to help to fix this gap. In our experiment of detecting the three different linguistic steganography methods: NICETEXT,TEXTO and Markov-Chain-Based, the total accuracies on discovering stego-text segments and normal text segmentsare found to be 87.39%, 95.51%, 98.50%, 99.15% and 99.57% respectively when the segment size is 5kB, 10kB,20kB, 30kB and 40kB. Our research shows that the linguistic steganalysis based on distribution of words is promising.
Load Sharing and Bandwidth Control in Mobile P2P Wireless Sensor Networks
Authors: Elisa Rondini, Stephen Hailes, Li Li
Venue: Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications (2008)

In this paper, we investigate the problem of resource constraints in Mobile Peer-to-Peer Wireless Sensor Networks (MP2P WSNs). We propose a scheme to load share tasks among peer sensor nodes, taking into account both their computational capabilities and networking conditions. Experiments to evaluate the performance results were conducted over real Tmote Sky sensor testbeds. We demonstrate that significant performance improvements in terms of latency can be achieved for a MP2P WSN by considering both load and network constraints, and we argue that, when ignoring the latter, the performance of MP2P computing in the application overlay could be severely impacted.
A stochastic model for workflow QoS evaluation
Authors: Yunni Xia, H. P. Wang, Y. Huang, L. Yuan
Venue: Scientific Programming (2006)

Quality (QoS) prediction is one of the most important research topics of workflow. In this paper, we propose a stochastic model to evaluate QoS (make-span, reliability and cost) of workflow systems based on QWF-net, which extends traditional WF-net by associating tasks with firing-rate, failure-rate and cost-coefficient. Through a case study, we show that our framework is capable of modeling real-world workflow-based application. Also, Monte-carlo simulation in the case study indicates our analytical methods are consistent with simulation. We also present a sensitivity analysis technique to identify QoS bottleneck.The paper concludes with a comparison between our approach and related work.
On certain conditions for the existence of solutions of equilibrium problems
Authors: Alfredo N. Iusem, G&#x00e1;bor Kassay, Wilfredo Sosa
Venue: Mathematical Programming: Series A and B (2008)

The main purpose of this paper is the study of sufficient and/or necessary conditions for existence of solutions of equilibrium problems. We discuss some of the assumptions of the problem, under which the introduced conditions are sufficient and/or necessary, and also analyze the effect of these assumptions on the connection between the solution sets of the equilibrium problem and of a related convex feasibility problem.
Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures
Authors: Antoni B. Chan, Nuno Vasconcelos
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence (2008)

A dynamic texture is a spatio-temporal generative model for video, which represents video sequences as observations from a linear dynamical system. This work studies the mixture of dynamic textures, a statistical model for an ensemble of video sequences that is sampled from a finite collection of visual processes, each of which is a dynamic texture. An expectationmaximization (EM) algorithm is derived for learning the parameters of the model, and the model is related to previous works in linear systems, machine learning, time-series clustering, control theory, and computer vision. Through experimentation, it is shown that the mixture of dynamic textures is a suitable representation for both the appearance and dynamics of a variety of visual processes that have traditionally been challenging for computer vision (e.g. fire, steam, water, vehicle and pedestrian traffic, etc.). When compared with state-of-the-art methods in motion segmentation, including both temporal texture methods and traditional representations (e.g. optical flow or other localized motion representations), the mixture of dynamic textures achieves superior performance in the problems of clustering and segmenting video of such processes.
A variational method for unconstrained optimization problems
Authors: Gianfranco Corradi
Venue: International Journal of Computer Mathematics (2007)

We introduce a new method for solving an unconstrained optimization problem. The method is based on the solution of a variational inequality problem and may be considered a modified trust region algorithm. We prove the convergence of the method and present some numerical results.
Verifying Michael and Scott's lock-free queue algorithm using trace reduction
Authors: Lindsay Groves
Venue: Proceedings of the fourteenth symposium on Computing: the Australasian theory - Volume 77 (2008)

Lock-free algorithms have been developed to avoid various problems associated with using locks to control access to shared data structures. These algorithms are typically more intricate than lock-based algorithms, as they allow more complex interactions between processes, and many published algorithms have turned out to contain errors. There is thus a pressing need for practical techniques for verifying lock-free algorithms and programs that use them. In this paper we show how Michael and Scott's well known lock-free queue algorithm can be verified using a trace reduction method, based on Lipton's reduction method. Michael and Scott's queue is an interesting case study because, although the basic idea is easy to understand, the actual algorithm is quite subtle, and it demonstrates several way in which the basic reduction method needs to be extended.
Station AL-Guadalcanal: A Full Service WWII Cryptologic Unit
Authors: Philip H. Jacobsen
Venue: Cryptologia (2007)

Station AL was a small but efficient intercept, direction finder, traffic analysis, cryptanalysis and reporting station that was operational during the early hectic days of World War II. It was established on Guadalcanal amidst the heavy fighting there. Many cryptologic researchers and writers are not even aware that such a facility existed and most have not included it to any degree in their books or articles. Although opportunities were lost due to lack of personnel, equipment and the support of various commands high and low, Station AL achieved many successes.
Simulative Performance Evaluation of Information Retrieval Systems
Authors: D. Evangelin Geetha, G. Krishna Naidu, T. V. Suresh Kumar, K. Rajani Kanth
Venue: Proceedings of the 2008 Second Asia International Conference on Modelling & Simulation (AMS) (2008)

The information explosion across the Internet and elsewhere offers access to an increasing number of document collections. Retrieval system evaluation plays an important role in judging the efficiency and effectiveness of the retrieval process. Validating the performance of information retrieval systems provides assurance that a system as a whole is likely to meet its quantitative performance goals. In this paper, we describe procedure to calculate the response time early in the life cycle and simulate the performance metrics for an information retrieval system in different architectures namely, centralized and distributed. We consider different characterizations for the hardware resources’ configurations and simulate the results for two different architectures of Information retrieval systems.
Review: Causal knowledge and reasoning by cognitive maps: Pursuing a holistic approach
Authors: Alejandro Peña, Humberto Sossa, Agustín Gutiérrez
Venue: Expert Systems with Applications: An International Journal (2008)

Due to the lack of an integral study about cognitive maps (CM) that focus on the causal phenomenon, this paper introduces the underlying concepts towards a holistic conceptual model, enhanced by a profile of several versions. We illustrate the use of CM through their application into the Web-based Education Systems (WBES). From the causal perspective, CM depict and simulate the systems dynamics based upon qualitative knowledge about a specific domain. A CM is a visual digraph that identifies the concepts of a given subject of analysis. CM show causal-effect relationships among the concepts and outline complex structures. This tool aims to predict the evolution of a model through causal inference. This kind of inference estimates the degree of significance of change of the concepts in the context of the whole system. The behavior of a CM is given away during iterations that update the variation of the concept state values until reach a stable point in a search space, a pattern of states or a chaotic region. The purpose of this research is to share its findings, depict the work done and promote the use of CM in a broad spectrum of domains.