ppxscal/embedding_network huggingface dataset:
A nonlinear, recurrence-based approach to traffic classification
Authors: Francesco Palmieri, Ugo Fiore
Venue: Computer Networks: The International Journal of Computer and Telecommunications Networking (2009)

The ability to accurately classify and identify the network traffic associated with different applications is a central issue for many network operation and research topics including Quality of Service enforcement, traffic engineering, security, monitoring and intrusion-detection. However, traditional classification approaches for traffic to higher-level application mapping, such as those based on port or payload analysis, are highly inaccurate for many emerging applications and hence useless in actual networks. This paper presents a recurrence plot-based traffic classification approach based on the analysis of non-stationary ''hidden'' transition patterns of IP traffic flows. Such nonlinear properties cannot be affected by payload encryption or dynamic port change and hence cannot be easily masqueraded. In performing a quantitative assessment of the above transition patterns, we used recurrence quantification analysis, a nonlinear technique widely used in many fields of science to discover the time correlations and the hidden dynamics of statistical time series. Our model proved to be effective for providing a deterministic interpretation of recurrence patterns derived by complex protocol dynamics in end-to-end traffic flows, and hence for developing qualitative and quantitative observations that can be reliably used in traffic classification.
Security principles and management method for secure S/W introduction
Authors: Jae Hong Han, Ho Seong Kim, Wan S. Yi, Yoo Jae Won
Venue: Proceedings of the 8th conference on Applied computer scince (2008)

An existing S/W development enterprises was negligent in S/W security problem because of imminent development period, insufficient fund and ignorance of security, and weakness problem of S/W almost has solved by beta test and a patch mostly. In addition, government agencies evaluate and review the suitability and security features of security S/W, but no separate security features are performed on other S/W products. Also, taking measures against the security vulnerabilities identified in introduced S/W may negatively affect services and systems that are already up and running, or incur significant additional costs. Therefore, This paper proposes security principles and a management method for the safe introduction of S/W at each stage from the planning stage, with a focus on the items to be considered from the user's perspective, to requirements review and assessment in the light of security, and disposal. It seems feasible that an enterprise or organization should be able to verify and manage safety at the S/W introduction stage by performing a risk analysis, security vulnerability check, and security assessment for each stage.
An air monitoring system to measure environmental factors in a wireless sensor network
Authors: Min-Hwan Ok
Venue: Proceedings of the 8th conference on Applied informatics and communications (2008)

In this paper a form of sensor network is operated to monitor air-contamination in subway stations. The system covers both field-based monitoring and infrastructure monitoring. For some sort of sensor componets consumes energy excessively, the recent sleep scheduling approach is employed to save energy of the nodes. The sensor network server congregates data gathered on schedule, and provide environmental information. Reducing energy consumption rate is the practical concern in developing the monitoring system.
"I Am Legend": making an alternate ending
Authors: Carlye Archibeque
Venue: ACM SIGGRAPH ASIA 2008 computer animation festival (2008)

In this alternate ending of the motion picture "I Am Legend," the full CG-infected characters interact with our hero, played by Will Smith.
Resource allocation algorithm considering a priority of service classes for WiMedia UWB system
Authors: Kwang-Chun Go, Jae-Hyun Kim, Seong-Hwan Oh, Kyeong-Deok Moon, Kwang-II Lee
Venue: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication (2009)

This paper proposes a resource allocation algorithm to guarantee quality of service (QoS) of a real time service in WiMedia ultra wideband (UWB) system. The proposed algorithm allocates the radio resource to reduce an access delay of the real time service based on the priority of service class, when the radio resource is insufficient. Moreover, the proposed algorithm exploits a call admission control (CAC) to keep the fairness among devices. By simulation results, the proposed algorithm can improve network throughput and reduce the average access delay of the real time service in WiMedia UWB system. In addition, simulation results show that the proposed algorithm can improve the fairness among devices compared to the legacy WiMedia system.
On the minimal energy of unicyclic Hückel molecular graphs possessing Kekulé structures
Authors: Yinmei Cao, Anhua Lin, Rong Luo, Xiaoya Zha
Venue: Discrete Applied Mathematics (2009)

Let G be any unicyclic Huckel molecular graph with Kekule structures on n vertices where n>=8 is an even number. In [W. Wang, A. Chang, L. Zhang, D. Lu, Unicyclic Huckel molecular graphs with minimal energy, J. Math. Chem. 39 (1) (2006) 231-241], Wang et al. showed that if G satisfies certain conditions, then the energy of G is always greater than the energy of the radialene graph. In this paper we prove that this inequality actually holds under a much weaker condition.
Acquainted Non-convexity Multiresolution Based Optimization for Affine Parameter Estimation in Image Registration
Authors: J. Dinesh Peter, V. K. Govindan, Abraham T. Mathew
Venue: Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence (2008)

Affine parameter estimation technique applied to image registration is found useful in obtaining reliable fusion of same object's images taken from different modalities, into single image with strong features. Usually, the minimization in affine parameter estimation technique can be done by least squares in a quadratic way. However, this will be sensitive to the presence of outliers. Therefore, affine parameter estimation technique for image registration calls for methods that are robust enough to withstand the influence of outliers. Progressively, some robust estimation techniques demanding non-quadratic and non-convex potentials adopted from statistical literature have been used for solving these. Addressing the minimization of error function in a factual framework for finding the global optimal solution, the minimization can begin with the convex estimator at the coarser level and gradually introduce non-convexity i.e., from soft to hard redescending non-convex estimators when the iteration reaches finer level of multiresolution pyramid. Comparison has been made to find the performance results of proposed method with the registration results found using different robust estimators.
Enhancing dependability in avionics using virtualization
Authors: Youssef Laarouchi, Yves Deswarte, David Powell, Jean Arlat, Eric De Nadai
Venue: Proceedings of the 1st EuroSys Workshop on Virtualization Technology for Dependable Systems (2009)

Software in avionics has always been totally separated from open-world software, in order to avoid any interaction that could corrupt critical on-board systems. However, new aircraft generations need more interaction with off-board systems to offer extended services, which makes these information flows potentially dangerous. In this paper, we present a case study (identified in the ArSec project) that requires bidirectional communication between critical on-board systems and untrusted off-board systems. We propose the use of virtualization to ensure dependability of critical applications despite such communication.
A large-scale hidden semi-Markov model for anomaly detection on user browsing behaviors
Authors: Yi Xie, Shun-Zheng Yu
Venue: IEEE/ACM Transactions on Networking (TON) (2009)

Many methods designed to create defenses against distributed denial of service (DDoS) attacks are focused on the IP and TCP layers instead of the high layer. They are not suitable for handling the new type of attack which is based on the application layer. In this paper, we introduce a new scheme to achieve early attack detection and filtering for the application-layer-based DDoS attack. An extended hidden semi-Markov model is proposed to describe the browsing behaviors of web surfers. In order to reduce the computational amount introduced by the model's large state space, a novel forward algorithm is derived for the online implementation of the model based on the M-algorithm. Entropy of the user's HTTP request sequence fitting to the model is used as a criterion to measure the user's normality. Finally, experiments are conducted to validate our model and algorithm.
Study on Speaker-Independent Emotion Recognition from Speech on Real-World Data
Authors: Theodoros Kostoulas, Todor Ganchev, Nikos Fakotakis
Venue: Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction: COST Action 2102 International Conference, Patras, Greece, October 29-31, 2007. Revised Papers (2008)

In the present work we report results from on-going research activity in the area of speaker-independent emotion recognition. Experimentations are performed towards examining the behavior of a detector of negative emotional states over non-acted/acted speech. Furthermore, a score-level fusion of two classifiers on utterance level is applied, in attempt to improve the performance of the emotion recognizer. Experimental results demonstrate significant differences on recognizing emotions on acted/real-world speech.
A Novel Opposition-Based Multi-objective Differential Evolution Algorithm for Multi-objective Optimization
Authors: Lei Peng, Yuanzhen Wang, Guangming Dai
Venue: Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence (2008)

Multiobjective optimization is of increasing importance in various fields and has very broad applications. The purpose of this paper is to describe a novel multiobjective optimization algorithm---opposition-based multi-objective differential evolution algorithm(OMODE). In the paper, OMODE uses the opposition-based population to generate the initial population of points, The important scaling factor is controlled by self-adaptive method. Performance of OMODE is demonstrated with a set of benchmark test functions and Earth-Mars double transfer problem. The results show that OMODE achieves better performance than other methods.
Anti-monotonic Overlap-Graph Support Measures
Authors: Toon Calders, Jan Ramon, Dries Van Dyck
Venue: Proceedings of the 2008 Eighth IEEE International Conference on Data Mining (2008)

In graph mining, a frequency measure is anti-monotonic if the frequency of a pattern never exceeds the frequency of a subpattern. The efficiency and correctness of most graph pattern miners relies critically on this property. We study the case where the dataset is a single graph. Vanetik, Gudes and Shimony already gave sufficient and necessary conditions for anti-monotonicity of measures depending only on the edge-overlaps between the intances of the pattern in a labeled graph. We extend these results to homomorphisms, isomorphisms and homeomorphisms on both labeled and unlabeled, directed and undirected graphs, for vertex and edge overlap. We show a set of reductions between the different morphisms that preserve overlap. We also prove that the popular maximum independent set measure assigns the minimal possible meaningful frequency, introduce a new measure based on the minimum clique partition that assigns the maximum possible meaningful frequency and introduce a new measure sandwiched between the former two based on the poly-time computable Lovasz theta-function.
Fast communication: Fast exact multichannel FSLMS algorithm for active noise control
Authors: E. Prashanth Reddy, Debi Prasad Das, K. M. M. Prabhu
Venue: Signal Processing (2009)

In this paper, we derive the fast and exact implementation of multichannel filtered-S LMS (FSLMS) algorithm. By removing redundancy in the governing equations of the standard FSLMS algorithm, we can obtain a significant reduction in the complexity of the controller. This has been achieved by rearranging the equations of FSLMS algorithm. We have carried out a detailed computational complexity analysis. Simulation experiments have been carried out to show the performance equivalence of the proposed fast algorithm with its standard version.
A stakeholder-oriented innovative product conceptualization strategy based on fuzzy integrals
Authors: Wei Yan, Chun-Hsien Chen, Daofang Chang, Yih Tng Chong
Venue: Advanced Engineering Informatics (2009)

Knowledge, experiences and skills of corporate members promote new ideas into products, in the context of innovative design. This dynamism is especially important in the critical product conceptualization stage. In customer-oriented design paradigm, most methodologies focus on exploiting end-user requirements, instead of considering project stakeholder requirements in a holistic manner. Previous research in the area of innovative product conceptualization focused on such aspects as functional, cognitive, marketing and commercial perspectives. It involves the participations of customers, designers, engineers, marketers and business managers. Accordingly, a stakeholder-oriented innovative product concept development system (IPCDS) is established to integrate the bespoke four perspectives so as to evaluate product concept innovation comprehensively. To resolve the incomplete, ambiguous, uncertain and subjective nature of innovative design knowledge, the product platform represented in a design knowledge hierarchy (DKH) is generated using general sorting. Subsequently, an innovative design criteria matrix (DCM) constructed using repertory grids technique is rated with regard to specific design option. The ratings are then used as input features to the fuzzy integrals technique, for the purpose of innovative design. A case study on cellular phone design is used for system illustration and the results are discussed on the basis of product concept innovation.
Smartphone driven healthcare system for rural communities in developing countries
Authors: Santosh Kulkarni, Prathima Agrawal
Venue: Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments (2008)

People in developing countries often do not have access to quality healthcare services. Precious lives frequently get compromised due to lack of timely medical attention. However, despite resource related problems, the developing world has seen an exponential growth in cellular telephony over the last decade. This growth has prompted us to propose an affordable, portable healthcare enabling system, using smartphones and wireless bio sensors.
Computing zonoid trimmed regions of dimension d>2
Authors: Karl Mosler, Tatjana Lange, Pavel Bazovkin
Venue: Computational Statistics Data Analysis (2009)

A probability distribution on Euclidean d-space can be described by its zonoid regions. These regions form a nested family of convex sets around the expectation, each being closed and bounded. The zonoid regions of an empirical distribution introduce an ordering of the data that has many applications in multivariate statistical analysis, e.g. cluster analysis, tests for multivariate location and scale, and risk analysis. An exact algorithm is developed to constructing the zonoid regions of a d-variate empirical distribution by their facets when d>=3. The vertices of the region and their adjacency are characterized, and a procedure is suggested by which all vertices and facets can be determined. The algorithm is available as an R-package.
One look into the future of CMOS chip design
Authors: Carl John Anderson
Venue: Proceedings of the 2009 international symposium on Physical design (2009)

Both the physics and financial challenges of CMOS scaling to 22nm and beyond will be discussed. The effects of the possible slowing of future CMOS technology generations on CMOS chip design and methodology will be hypothesized.
A new cognitive model: Cloud model
Authors: Deyi Li, Changyu Liu, Wenyan Gan
Venue: International Journal of Intelligent Systems (2009)

Randomness and fuzziness are the two most important uncertainties inherent in human cognition, which have attracted great attention in artificial intelligence research. In this paper, regarding linguistic terms or concepts as the basic units of human cognition, we propose a new cognitive model&mdash;cloud model, which can synthetically describe the randomness and fuzziness of concepts and implement the uncertain transformation between a qualitative concept and its quantitative instantiations. Furthermore, by analyzing in detail the statistical properties of normal cloud model, that is, an important kind of cloud models based on normal distribution and Gauss membership function, we show that normal cloud model can not only be viewed as a generalized normal distribution with weak constraints but also avoid the flaw of fuzzy sets to quantify the membership degree of an element as an accurate value between 0 and 1 and, therefore, may be more adaptive for the uncertainty description of linguistic concepts. Finally, two demonstration examples about the fractal evolution of plants and network topologies based on cloud models are given to illustrate the promising applications of cloud models in some more complex knowledge representation tasks. &copy; 2009 Wiley Periodicals, Inc.
A System for Presentation of Wavelet Transform Properties in Image Coding
Authors: Remigiusz J. Rak, Mariusz Szafraniec
Venue: Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2 (1999)

There is described a full development system for analysis of wavelet transform properties in subband coding of images. The software is user friendly and has been developed under the Windows'95 environment. The system is quite open and can be freely expanded and modify. Up to this time it has been equipped with several, the most common, wavelet filter banks. In the area of vector quantization it is equipped with different structures of algorithms for codebook design, separately for each subband. It certainly has the tools for determining the quality of implemented algorithms and achieved level of data compression ratio. The developed system is destined for both research & development and university laboratories.
Fault tolerant placement and defect reconfiguration for nano-FPGAs
Authors: Amit Agarwal, Jason Cong, Brian Tagiku
Venue: Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design (2008)

When manufacturing nano-devices, defects are a certainty and reliability becomes a critical issue. Until now, the most pervasive methods used to address reliability, involve injecting spare resources. However, these methods use predetermined spare placement that is not optimized for each netlist. This is the first work (to the best of our knowledge) that addresses the problem of fault tolerance for nano-FPGAs at the placement stage; fault tolerant placements are generated that are amenable to fast defect reconfiguration through replacement of defective logic elements with spares. We propose a simulated-annealing based placement algorithm that produces placements with the objective of maximizing the chances of successful recovery from faults in logic elements within the circuit's timing constraints. In addition, our study of the fault reconfiguration problem shows it is NP-Complete, and we propose a fast scheme for achieving a good reconfiguration solution for a random or clustered fault map. Experimental results show that these techniques can increase the probability of successful fault reconfiguration by 55% (compared to a uniform spare distribution scheme), without significantly degrading the circuit performance.
Fuzzy control algorithm implementation using LabWindows
Authors: Marius Constantin Popescu, Anca Petrisor, Adrian Drighiciu, Raducu Petrisor
Venue: WSEAS TRANSACTIONS on SYSTEMS (2009)

This paper presents the way to create a fuzzy controller used to command a fluid flow servo-valve with force reaction, this servo-valve being the execution element of an industrial robot adaptation system which adjusts the position on one axel. Practically, beginning from a value of the reference (the position in which we wish to move the free extremity of the hydraulic cylinder's piston's cane), for example at half the distance the piston covers and at a value of the speed with which the piston moves at a certain moment, the paper goes through all the stages of fuzzy algorithm and a firm value of the command which the controller produces in this case. The spread of the applications' field of the numerical systems for adjustment and control of the technological processes is, obviously, sustained by the superior performances achieved by such systems, as is the case of the fuzzy system, comparing to the conventional analogical automated systems.
A kernel density estimation method for networks, its computational method and a GIS-based tool
Authors: Atsuyuki Okabe, Toshiaki Satoh, Kokichi Sugihara
Venue: International Journal of Geographical Information Science (2009)

We develop a kernel density estimation method for estimating the density of points on a network and implement the method in the GIS environment. This method could be applied to, for instance, finding 'hot spots' of traffic accidents, street crimes or leakages in gas and oil pipe lines. We first show that the application of the ordinary two-dimensional kernel method to density estimation on a network produces biased estimates. Second, we formulate a 'natural' extension of the univariate kernel method to density estimation on a network, and prove that its estimator is biased; in particular, it overestimates the densities around nodes. Third, we formulate an unbiased discontinuous kernel function on a network. Fourth, we formulate an unbiased continuous kernel function on a network. Fifth, we develop computational methods for these kernels and derive their computational complexity; and we also develop a plug-in tool for operating these methods in the GIS environment. Sixth, an application of the proposed methods to the density estimation of traffic accidents on streets is illustrated. Lastly, we summarize the major results and describe some suggestions for the practical use of the proposed methods.
A particle filtering framework for randomized optimization algorithms
Authors: Enlu Zhou, Michael C. Fu, Steven I. Marcus
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

We propose a framework for optimization problems based on particle filtering (also called Sequential Monte Carlo method). This framework unifies and provides new insight into randomized optimization algorithms. The framework also sheds light on developing new optimization algorithms through the freedom in the framework and the various improving techniques for particle filtering.