ppxscal/embedding_network huggingface dataset:
Detecting and Defending against Worm Attacks Using Bot-honeynet
Authors: Yu Yao, Jun-wei Lv, Fu-xiang Gao, Ge Yu, Qing-xu Deng
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

We proposed a worm detection and defense system named bot-honeynet in this paper, which combines the best features of honeynet, anomaly detection and botnet. The combination of honeynet and anomaly detection system offers a tradeoff between false positive and false negative rates. The control mechanism of botnet can help our system control all the honeypots in the bot-honeynet, Bot-honeynet is designed to not only detect worm attacks but also defend against malicious worms. Once malicious worms are detected, thousands of benign worms are released to counterattack them at the same time. We can conclude from simulation that P2P-based benign worm is provided with high efficiency on defending against malicious worms and is better than traditional benign worm even if the release time is later. Thus, it saves more time for security researchers to prepare benign worms.
An experimental comparison of constraint logic programming and answer set programming
Authors: Agostino Dovier, Andrea Formisano, Enrico Pontelli
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 2 (2007)

Answer Set Programming (ASP) and Constraint Logic Programming over finite domains (CLP(FD)) are two declarative progmmming paradigms that have been extensively used to encode applications involving search, optimization, and reasoning (e.g., commonsense reasoning and planning). This paper presents experimental comparisons between the declarative encodings of various computationally hard problems in both frameworks. The objective is to investigate how the solvers in the two domains respond to different problems, highlighting strengths and weaknesses of their implementations, and suggesting criteria for choosing one approach over the other. Ultimately, the work in this paper is expected to lay the foundations for transfer of technology between the two domains, e.g., suggesting ways to use CLP(FD) in the execution of ASP.
Reducing Social Network Dimensions Using Matrix Factorization Methods
Authors: Václav Snáel, Zdenek Horák, Jana Kocíbová, Ajith Abraham
Venue: Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining (2009)

Since the availability of social networks data and the range of these data have significantly grown in recent years, new aspects have to be considered. In this paper we address computational complexity of social networks analysis and clarity of their visualization. Our approach uses combination of Formal Concept Analysis and well-known matrix factorization methods. The goal is to reduce the dimension of social network data and to measure the amount of information which is lost during the reduction.
Detecting and leveraging finger orientation for interaction with direct-touch surfaces
Authors: Feng Wang, Xiang Cao, Xiangshi Ren, Pourang Irani
Venue: Proceedings of the 22nd annual ACM symposium on User interface software and technology (2009)

Current interactions on direct-touch interactive surfaces are often modeled based on properties of the input channel that are common in traditional graphical user interfaces (GUI) such as x-y coordinate information. Leveraging additional information available on the surfaces could potentially result in richer and novel interactions. In this paper we specifically explore the role of finger orientation. This property is typically ignored in touch-based interactions partly because of the ambiguity in determining it solely from the contact shape. We present a simple algorithm that unambiguously detects the directed finger orientation vector in real-time from contact information only, by considering the dynamics of the finger landing process. Results of an experimental evaluation show that our algorithm is stable and accurate. We then demonstrate how finger orientation can be leveraged to enable novel interactions and to infer higher-level information such as hand occlusion or user position. We present a set of orientation-aware interaction techniques and widgets for direct-touch surfaces.
Large Matrix Multiplication on a Novel Heterogeneous Parallel DSP Architecture
Authors: Joar Sohl, Jian Wang, Dake Liu
Venue: Proceedings of the 8th International Symposium on Advanced Parallel Processing Technologies (2009)

This paper introduces a novel master-multi-SIMD on-chip multi-core architecture for embedded signal processing. The parallel architecture and its memory subsystem are described in this paper. We evaluate the large size matrix multiplication performance on this parallel architecture and compare it with a SIMD-extended data parallel architecture. We also examine how well the new architecture scales for different numbers of SIMD co-processors. The experimental results show that the ePUMA architecture's memory subsystem can effectively hide the data access overhead. With its 8-way SIMD data path and multi-SIMD parallel execution, the ePUMA architecture improves the performance of matrix multiplication with a speedup of 45x from the conventional SIMD extension.
Flux-Weakening Control Scheme Based on the Fuzzy Logic of PMSM Drive for Hybrid Electric Vehicle
Authors: Xianqing Cao, Liping Fan
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

In contrast to conventional flux-weakening control methods, an algorithm based on operation times (T0) of zero voltage space vector of permanent magnet synchronous motor (PMSM) for hybrid electric vehicle (HEV) application is proposed. In this paper, the d-axis current (id) is derived from a fuzzy controller. The proposed strategy can achieve fast dynamic control performance as well as parameter insensitivity in the flux-weakening region. Otherwise, it can also reduce the current amplitude of stator compared with the conventional method.
Unscented Kalman Filter Using Augmented State in the Presence of Additive Noise
Authors: Fuming Sun, Guanglin Li, Jingli Wang
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

Unscented Kalman filter (UKF) using augmented state for the nonlinear dynamic systems in the presence of additive process and measurement noises is addressed. There are two alternative versions of UKF in which the system state may be augmented or not be augmented by the process and measurement noises. It was reported that the augmented UKF has better performance for dynamic systems than the nonaugmented UKF. However, the research results apply only to the dynamic system with weak noises, not to mention how the performance of these two UKFs compared in the presence of strong noises. Under the condition of n+k=const, the basic difference in one filtering recursion between them is that the covariance of state vector in augmented UKF incorporates the process noises. This difference generally makes the gain in augmented UKF bigger than the counterpart in nonaugmented UKF. We cast augmented KF and nonaugmented UKF into a discrete-time dynamic system equation. Then we find that the nonaugmented UKF yields better performance than the augmented UKF in the case of strong noises, which contradicts with the results obtained in the presence of weak noises.
Discriminative Training of Gender-Dependent Acoustic Models
Authors: Jan Vaněk, Josef V. Psutka, Jan Zelinka, Aleš Pražák, Josef Psutka
Venue: Proceedings of the 12th International Conference on Text, Speech and Dialogue (2009)

The main goal of this paper is to explore the methods of gender-dependent acoustic modeling that would take the possibly of imperfect function of a gender detector into consideration. Such methods will be beneficial in real-time recognition tasks (eg. real-time subtitling of meetings) when the automatic gender detection is delayed or incorrect. The goal is to minimize an impact to the correct function of the recognizer. The paper also describes a technique of unsupervised splitting of training data, which can improve gender-dependent acoustic models trained on the basis of manual markers (male/female). The idea of this approach is grounded on the fact that a significant amount of "masculine" female and "feminine" male voices occurring in training corpora and also on frequent errors in manual markers.
Establishing the Correlation between Complexity and a Reliability Metric for Software Digital I&C-Systems
Authors: John Eidar Simensen, Christian Gerst, Bjørn Axel Gran, Josef Märtz, Horst Miedl
Venue: Proceedings of the 28th International Conference on Computer Safety, Reliability, and Security (2009)

Faults introduced in design or during implementation might be prevented by design validation and by evaluation during implementation. There are numerous methods available for validating and evaluating software. Expert judgment is a much used approach to identify problematic areas in design or target challenges related to implementation. ISTec and IFE cooperate on a project on automated complexity measurements of software of digital instrumentation and control (I C) systems. Metrics measured from the function blocks and logic diagrams specifying I C-systems are used as input to a Bayesian Belief Net describing correlation between inputs and a complexity metric. By applying expert judgment in the algorithms for the automatic complexity evaluation, expert judgment is applied to entire software systems. The results from this approach can be used to identify parts of software which from a complexity viewpoint is eligible for closer inspection. In this paper we describe the approach in detail as well as plans for testing the approach.
Scaling construction grammar up to production systems: the situated constructional interpretation model
Authors: Guillaume Pitel
Venue: Proceedings of the Third Workshop on Scalable Natural Language Understanding (2006)

While a great effort has concerned the development of fully integrated modular understanding systems, few researches have focused on the problem of unifying existing linguistic formalisms with cognitive processing models. The Situated Constructional Interpretation Model is one of these attempts. In this model, the notion of "construction" has been adapted in order to be able to mimic the behavior of Production Systems. The Construction Grammar approach establishes a model of the relations between linguistic forms and meaning, by the mean of constructions. The latter can be considered as pairings from a topologically structured space to an unstructured space, in some way a special kind of production rules.
Self-Adaptation for Robustness and Cooperation in Holonic Multi-Agent Systems
Authors: Paulo Leitao, Paul Valckenaers, Emmanuel Adam
Venue: Transactions on Large-Scale Data- and Knowledge-Centered Systems I (2009)

This paper reflects a discussion at the SARC workshop, held in Venice, October 2008. This workshop addresses robustness and cooperation in holonic multi-agent systems within a context of self-organizing and self-adaptive systems. The paper first presents the basic principles underlying holonic systems. The holonic system reveals itself as a `law of the artificial': in a demanding and dynamic environment, all the larger systems will be holonic. Next, it addresses robustness in holonic systems, including its relationship to self-organization and self-adaptation. These self-* systems indeed are capable of delivering superior robustness. Third, it addresses cooperation in holons and holonic systems, including its relationship with the autonomy of the individual holons. Cooperation imposes constraints on a holon such that its chances of survival and success increase.
Application of Information Technology in Enterprise E-Commerce Based on Grey Relational Clustering and Data Mining
Authors: Qu Zhiming
Venue: Proceedings of the 2009 Second Pacific-Asia Conference on Web Mining and Web-based Application (2009)

Mining the implicit laws of poor information in the database is the important problems which need to be solved presently. Clustering analysis plays very important role in mining the data. The grey trend relation (GTR) clustering involved in the grey trend relation system is a good way to find the poor information in order to find the useful information to make decision, which is also an implement and development in data mining. Combining with the grey trend relation and using the general mathematical system theory, the GTR system model are setup. Through analyzing the data of sale system, it is can be seen that some different commodities in sale increment are similar and there are a few of different classification. Comparing with the real sale records, it is found that the results by the GTR clustering are in keeping with the investigation in the sale system.
A Research on Instability of Small Flow in SCADA and an Optimizing Design for Control
Authors: Youqiang Guo, Zijun Zhang, Xuezhu Pei
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part II (2009)

SCADA is a set of systems with a higher automatic level of the long-distance pipeline. When the sub-transmission stations in the state of full load, the automatic control of sub-output capacity is quite stable working at certain settings. However, partly sub-transmission stations sub-output capacity is far less than the design of sub-output capacity in actual projects, which makes the PLC parameter of the control system in the stations difficult to set. And unstable sub-output often appears. This paper gives the optimizing design to achieve stable sub-output in small flow, and gives the algorithms to achieve better effects for sub-output control on the practical spots under the condition of unchanging the original structure of the system.
Improved Absolute Approximation Ratios for Two-Dimensional Packing Problems
Authors: Rolf Harren, Rob Stee
Venue: Proceedings of the 12th International Workshop and 13th International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (2009)

We consider the two-dimensional bin packing and strip packing problem, where a list of rectangles has to be packed into a minimal number of rectangular bins or a strip of minimal height, respectively. All packings have to be non-overlapping and orthogonal, i.e., axis-parallel. Our algorithm for strip packing has an absolute approximation ratio of 1.9396 and is the first algorithm to break the approximation ratio of 2 which was established more than a decade ago. Moreover, we present a polynomial time approximation scheme ($\mathcal{PTAS}$) for strip packing where rotations by 90 degrees are permitted and an algorithm for two-dimensional bin packing with an absolute worst-case ratio of 2, which is optimal provided $\mathcal{P} \not= \mathcal{NP}$.
Artifice, Interpretation and Nature: Key Categories in Radiology Work
Authors: James M. Nyce
Venue: Proceedings of the 8th International Conference on Unconventional Computation (2009)

This paper extends on some prior work on nature, culture and computation. This paper will look at "image work" in a radiology department, i.e, how radiologists use images and other kinds of knowledge in daily clinical work. In particular, the paper will look at the role tacit knowledge and categories have in the work radiologists carry out. How radiologists make use of and contrast analog and digital representations of nature will be explored here because this is key to how radiologists work and think. In other words, the role that computer derived artifacts, correspondence theory and mimesis play in the clinical work of radiology will be discussed.
Enacting e-Participation Tools: Assemblages in the Stream of Life
Authors: Andrea Resca
Venue: Proceedings of the 1st International Conference on Electronic Participation (2009)

This study on e-participation is based on a project led by the Emilia Romagna region in collaboration with other Italian public administrations. This project has been investigated turning to a twofold perspective: the e-participation kit enhancement and its actual implementation. A temporary collaboration of involved public administrations and the putting together of already existing technological devices provided by implicated administrations have composed this ad hoc technological solution (an assemblage). The analysis of the kit implementation gives way to an understanding of reality based on sense of `content' (objects, people, physical and temporal circumstances etc.), sense of `relation' (network of meanings and references among objects, people, physical and temporal circumstances etc.) and sense of `actualisation' (how sense of `content' and sense of `relation' have been enacted and made active) representing a tentative attempt to introduce also factors such as existential disposition and mood in the study of this e-participation kit implementation.
Zend Enterprise PHP Patterns, 1st edition
Authors: John Coggeshall, Morgan Tocker
Venue:  (2009)

Zend Enterprise PHP Patterns is the culmination of years of experience in the development of web-based applications designed to help enterprises big and small overcome the new challenges of the web-based application world and achieve harmony in not only the architecture of their application, but also the entire process under which that application is created and maintained. Taken directly from real-life experiences in PHP application development, Zend Enterprise PHP Patterns will help you Utilize open source technologies such as PHP and Zend Framework to build robust and easy-to-maintain development infrastructures. Understand Zend Framework and its philosophical approach to building complex yet easy-to-maintain libraries of functionality for your application that can scale with your needs. Benefit through an in-depth discussion of tools and techniques that can significantly enhance your ability to develop code faster, fix bugs, and increase performance. What youll learn Understand how to build your applications and configure your production environments (both the web server and database servers) to maximize performance while enabling them to scale to meet your performance needs. Learn how to build PHP-based libraries that solve your needs without falling into the trap of over-architecturing while leveraging powerful tools like Zend Framework to reduce development time. Understand the importance of PHP application security and the most common security threats, but more importantly, how to incorporate a security focus into your entire development life cycle. Learn how to use tooling to gather metrics and identify performance bottlenecks in your application to maximize performance. Who is this book for? This book is for intermediatelevel PHP developers who will be coding in an enterprise environment and architects and project managers who will be working in a PHP enterprise environment.
Mining Frequent Patterns from Network Data Flow
Authors: Xin Li, Zhi-Hong Deng, Hao Ma, Shi-Wei Tang, Bei Zhang
Venue: Proceedings of the 5th International Conference on Advanced Data Mining and Applications (2009)

The main objective of network monitoring is to discover the event patterns that happen frequently. In this paper, we have intensively studied the techniques used to mine frequent patterns from network data flow. We devel-oped a powerful class of algorithms to deal with a series of problems when min-ing frequent patterns from network data flow. We experimentally evaluate our algorithms on real datasets collected from the campus network of Peking Uni-versity. The experimental results show these algorithms are efficient.
Efficient memoization for dynamic programming with ad-hoc constraints
Authors: Joxan Jaffar, Andrew E. Santosa, Razvan Voicu
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 1 (2008)

We address the problem of effective reuse of subproblem solutions in dynamic programming. In dynamic programming, a memoed solution of a subproblem can be reused for another if the latter's context is a special case of the former. Our objective is to generalize the context of the memoed subproblem such that more subproblems can be considered subcases and hence enhance reuse. Toward this goal we propose a generalization of context that 1) does not add better solutions than the subproblem's optimal, yet 2) requires that subsumed sub-problems preserve the optimal solution. In addition, we also present a general technique to search for at most k ≥ 1 optimal solutions. We provide experimental results on resource-constrained shortest path (RCSP) benchmarks and program's exact worst-case execution time (WCET) analysis.
Regulated nondeterminism in pushdown automata
Authors: Martin Kutrib, Andreas Malcher, Larissa Werlein
Venue: Theoretical Computer Science (2009)

A generalization of pushdown automata towards regulated nondeterminism is studied. The nondeterminism is governed in such a way that the decision, whether or not a nondeterministic rule is applied, depends on the whole content of the stack. More precisely, the content of the stack is considered as a word over the stack alphabet, and the pushdown automaton is allowed to act nondeterministically, if this word belongs to some given set R of control words. Otherwise its behavior is deterministic. It turns out that non-context-free languages can be accepted if R is a context-free and non-regular language. On the other hand, if the control sets R are regular languages, then the resulting devices are not more powerful than nondeterministic pushdown automata. This raises the natural question of the relations between the structure and complexity of regular sets R on one hand and the computational capacity of the corresponding R-PDA on the other hand. The main result of the paper shows that an infinite proper hierarchy of regular control sets leads to an infinite proper hierarchy of the corresponding language classes. Additionally, closure properties and decision problems of these language classes are investigated.
Interface Development for Early Notification Warning System: Full Windshield Head-Up Display Case Study
Authors: Vassilis Charissis, Stylianos Papanastasiou, George Vlachos
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part IV: Interacting in Various Application Domains (2009)

This paper elaborates on the development of a prototype Head-Up Display (HUD) system designed to offer crucial navigation information to the driver, under adverse weather conditions. In particular the paper presents the implementation process and evaluation of the sharp turn notification and traffic warning cues which reflect some of the most common risks that may be encountered in a collision in a motorway environment under low visibility. Additionally, emphasis was placed on the prioritisation and effective presentation of information available through vehicular sensors, which would assist, without distracting, the driver in successfully navigating the vehicle under low visibility conditions. This information which appear in the form of symbolic representations of real objects, are projected in the vehicle's windscreen and superimposed onto the real scenery. Overall the paper examines the potential benefits and occurring issues of the proposed HUD interface and presents the results of a large scale evaluation of the system on a group of forty users, as performed using a driving simulator.