ppxscal/embedding_network huggingface dataset:
Can We Improve Energy Efficiency of Secure Disk Systems without Modifying Security Mechanisms?
Authors: Xiaojun Ruan, Adam Manzanares, Shu Yin, Mais Nijim, Xiao Qin
Venue: Proceedings of the 2009 IEEE International Conference on Networking, Architecture, and Storage (2009)

Improving energy efficiency of security-aware storage systems is challenging, because security and energy efficiency are often two conflicting goals. The first step toward making the best tradeoffs between high security and energy efficiency is to profile encryption algorithms to decide if storage systems would be able to produce energy savings for security mechanisms. We are focused on encryption algorithms rather than other types of security services, because encryption algorithms are usually computation-intensive. In this study, we used the XySSL libraries and profiled operations of several test problems using Conky - a lightweight system monitor that is highly configurable. Using our profiling techniques we concluded that although 3DES is much slower than AES encryption,it more likely to save energy in security-aware storage systems using 3DES than AES. The CPU is the bottleneck in 3DES, allowing us to take advantage of dynamic power management schemes to conserve energy at the disk level.After profiling several hash functions, we noticed that the CPU is not the bottleneck for any of these functions,indicating that it is difficult to leverage the dynamic power management technique to conserve energy of a single disk where hash functions are implemented for integrity checking.
Prediction of Learning Abilities Based on a Cross-Modal Evaluation of Non-verbal Mental Attributes Using Video-Game-Like Interfaces
Authors: Yiannis Laouris, Elena Aristodemou, Pantelis Makris
Venue: Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions: COST Action 2102 International Conference Prague, Czech Republic, October 15-18, 2008 Revised Selected and Invited Papers (2009)

The authors propose the thesis that today's children immersed in cyberspace need to rely on different skills and mental attributes in order to interact successfully with knowledge. It is argued that learning pedagogies as well as corresponding assessment tools must comply with the multi-modality principle. The paper describes a multimodal evaluation of the learning potential and reading/learning abilities of young children's brains. The method is based on the assessment of non-verbal abilities using video-game-like interfaces. The results show that the ability to orientate and navigate, to sequence or categorize objects or events, as well as to discriminate visual and auditory stimuli and the short-term visual and auditory memory can predict reading and learning abilities. Moreover, the combined assessment of several independent modalities significantly increases the predictive power.
Secure and highly-available aggregation queries in large-scale sensor networks via set sampling
Authors: Haifeng Yu
Venue: Proceedings of the 2009 International Conference on Information Processing in Sensor Networks (2009)

Wireless sensor networks are often queried for aggregates such as predicate count, sum, and average. In untrusted environments, sensors may potentially be compromised. Existing approaches for securely answering aggregation queries in untrusted sensor networks can detect whether the aggregation result is corrupted by an attacker. However, the attacker (controlling the compromised sensors) can keep corrupting the result, rendering the system unavailable. This paper aims to enable aggregation queries to tolerate instead of just detecting the adversary. To this end, we propose a novel tree sampling algorithm that directly uses sampling to answer aggregation queries. It leverages a novel set sampling technique to overcome a key and well-known obstacle in sampling — traditional sampling technique is only effective when the predicate count or sum is large. Set sampling can efficiently sample a set of sensors together, and determine whether any sensor in the set satisfies the predicate (but not how many). With set sampling as a building block, tree sampling can provably generate a correct answer despite adversarial interference, while without the drawbacks of traditional sampling techniques.
Cube summing, approximate inference with non-local features, and dynamic programming without semirings
Authors: Kevin Gimpel, Noah A. Smith
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (2009)

We introduce cube summing, a technique that permits dynamic programming algorithms for summing over structures (like the forward and inside algorithms) to be extended with non-local features that violate the classical structural independence assumptions. It is inspired by cube pruning (Chiang, 2007; Huang and Chiang, 2007) in its computation of non-local features dynamically using scored k-best lists, but also maintains additional residual quantities used in calculating approximate marginals. When restricted to local features, cube summing reduces to a novel semiring (k-best+residual) that generalizes many of the semirings of Goodman (1999). When non-local features are included, cube summing does not reduce to any semiring, but is compatible with generic techniques for solving dynamic programming equations.
Effects of Urban Expanion on LUCC - A Case of Guiyang City
Authors: He Huazhong, Mu Fengyun
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Regional land use change has been and will continue to be one of the hugest human impacts on the environment. Based on eight remotely sensed images of Guiyang city from 1973 to 2001, this paper studies the effect of urban sprawl on the land use and land cover of Guiyang in recent three decades. The process and characteristics of urban expansion and the surrounding land use change were analyzed. Besides, the driving mechanisms behind the expansion are also discussed from several aspects. The results show that the urban built-up area was 10.84km2 in 1973 and increased to 60.32km2 in 2001. The built-up increased by 4.56 time and increased averagely by 1.77km2 per year.The increase built-up area originates from different land use type, of which about 59.20% coverted from arable land and about 35.36% coverted from rural area and dependent factory, diggings land and other construction area. Among the driving forces of built-up expansion, the economic development is the fundamental driver of urban land expansion, and the location and topography factor is the natural limiting factors, while the political policy factors and population growth further accelerated the rate of urban land expansion.
Design, qualification and production of integrated sensor interface circuits for high-quality automotive applications
Authors: M. J. Ohletz, F. Schulze
Venue: Microelectronics Journal (2009)

The product development of integrated sensor interface circuits for automotive applications requires various additional features accounting for the harsh environment in automotive applications. Unlike in a pure prototype development yield is key to achieve the required automotive quality targets of zero ppm. The paper first describes the general automotive requirements like electro-static discharge (ESD) and reverse polarity protection. Then the design flow from specification until start of production for an industrial product development is outlined. Finally, the requirements for automotive circuits qualification based upon the international standard AEC Q-100 are described. Furthermore, the automotive test requirement and additional measures such as the dynamic part average testing and statistical bin analysis are discussed to achieve at zero ppm quality. The paper includes a real product example of ZMD.
Neural networks letter: Synchronization of nonidentical chaotic neural networks with time delays
Authors: He Huang, Gang Feng
Venue: Neural Networks (2009)

The synchronization problem is studied in this paper for nonidentical chaotic neural networks with time delays, where the mismatched parameters are taken into account. An integral sliding mode control approach is proposed to address it. As a first step, a proper sliding surface is constructed. Based on the drive-response concept and Lyapunov stability theory, both delay-independent and delay-dependent conditions are derived under which the resulting error system is globally asymptotically stable in the specified switching surface. The gain matrix of the sliding mode is achieved by means of a linear matrix inequality, which can be solved by resorting to standard numerical algorithm. Then, a sliding mode controller is synthesized to guarantee the reachability of the specified sliding surface. A simulation example is finally exploited to illustrate the effectiveness of the developed approach.
CUNIT: a semantic role labeling system for modern standard Arabic
Authors: Mona Diab, Alessandro Moschitti, Daniele Pighin
Venue: Proceedings of the 4th International Workshop on Semantic Evaluations (2007)

In this paper, we present a system for Arabic semantic role labeling (SRL) based on SVMs and standard features. The system is evaluated on the released SEMEVAL 2007 development and test data. The results show an F&beta;=1 score of 94.06 on argument boundary detection and an overall F&beta;=1 score of 81.43 on the complete semantic role labeling task using gold parse trees.
Prediction on Tribology Behavior of PEEK Composites Using Back Propagation Artificial Neural Networks
Authors: Hua Fu, Li Fu, Jin-ge Liu, Xian-Wu Zhang
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

A multi-layer back propagation artificial neuralnetwork (BPNN) was used to predict the friction coefficientand the specific wear rate of short fiber reinforcedpolyetheretherketone (PEEK) composites. The best networkstructure for property forecast is decided as 5-[29]1-2. Thetrain function is trainlm, and the transfer functions from inputto hidden layers and from hidden to output layers are logsigand purelin, respectively. For the network of ingredientforecast, the best network structure is 2-[300]1-[150]2-4. The train function is trainscg, and logsig, tansig are the transfer functions from input to hidden layers and within the hidden layers, respectively. Purelin is transfer function between hidden and output layers. The results show that ANN techniques can effectively be used to predict the tribology behavior and the components of composites.
Adding Trust to P2P Distribution of Paid Content
Authors: Alex Sherman, Angelos Stavrou, Jason Nieh, Angelos D. Keromytis, Cliff Stein
Venue: Proceedings of the 12th International Conference on Information Security (2009)

While peer-to-peer (P2P) file-sharing is a powerful and cost-effective content distribution model, most paid-for digital-content providers (CPs) use direct download to deliver their content. CPs are hesitant to rely on a P2P distribution model because it introduces a number of security concerns including content pollution by malicious peers, and lack of enforcement of authorized downloads. Furthermore, because users communicate directly with one another, the users can easily form illegal file-sharing clusters to exchange copyrighted content. Such exchange could hurt the content providers' profits. We present a P2P system TP2P, where we introduce a notion of trusted auditors (TAs). TAs are P2P peers that police the system by covertly monitoring and taking measures against misbehaving peers. This policing allows TP2P to enable a stronger security model making P2P a viable alternative for the distribution of paid digital content. Through analysis and simulation, we show the effectiveness of even a small number of TAs at policing the system. In a system with as many as 60% of misbehaving users, even a small number of TAs can detect 99% of illegal cluster formation. We develop a simple economic model to show that even with such a large presence of malicious nodes, TP2P can improve CP's profits (which could translate to user savings) by 62% to 122%, even while assuming conservative estimates of content and bandwidth costs. We implemented TP2P as a layer on top of BitTorrent and demonstrated experimentally using PlanetLab that our system provides trusted P2P file sharing with negligible performance overhead.
Lexical influences on the perception of sarcasm
Authors: Roger J. Kreuz, Gina M. Caucci
Venue: Proceedings of the Workshop on Computational Approaches to Figurative Language (2007)

Speakers and listeners make use of a variety of pragmatic factors to produce and identify sarcastic statements. It is also possible that lexical factors play a role, although this possibility has not been investigated previously. College students were asked to read excerpts from published works that originally contained the phrase said sarcastically, although the word sarcastically was deleted. The participants rated the characters' statements in these excerpts as more likely to be sarcastic than those from similar excerpts that did not originally contain the word sarcastically. The use of interjections, such as gee or gosh, predicted a significant amount of the variance in the participants' ratings of sarcastic intent. This outcome suggests that sarcastic statements may be more formulaic than previously realized. It also suggests that computer software could be written to recognize such lexical factors, greatly increasing the likelihood that non-literal intent could be correctly interpreted by such programs, even if they are unable to identify the pragmatic components of nonliteral language.
Integrated Geological, Geomorphological and Geostatistical Analysis to Study Macroseismic Effects of 1980 Irpinian Earthquake in Urban Areas (Southern Italy)
Authors: Maria Danese, Maurizio Lazzari, Beniamino Murgante
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part I (2009)

This paper focuses on using the integrated methodological, approach and analysis to study macroseismic damage effects in urban areas. A case study inherent seismic risk analysis of the old town centre of Potenza hilltop town has been discussed, with particular attention to the evaluation of possible local amplifying factors (stratigraphy and geomorphology) deduced from comparison with data studied with a geostatistical approach (kernel density, Moran Index, Getis Ord index). Geostatistics have been applied to seismic damage scenario of 1980 Irpinian earthquake macroseismic data, offering a new point of view in seismic risk assessment.
An Ontology-Based Approach to Blind Spot Revelation in Critical Infrastructure Protection Planning
Authors: Joshua Blackwell, William J. Tolone, Seok-Won Lee, Wei-Ning Xiang, Lydia Marsh
Venue: Critical Information Infrastructure Security: Third International Workshop, CRITIS 2008, Rome, Italy, October13-15, 2008. Revised Papers (2009)

One widely perceived yet poorly understood phenomenon in the practice of critical infrastructure protection is that of blind spots. These are certain aspects of the interrelationships among different critical infrastructure systems (CI systems) that could trigger catastrophe across CI systems but are concealed from planners, and discovered only in the aftermath of a crisis. In this paper, we discuss the sources of blind spots, and explore the feasibility of various techniques to help reveal blind spots.
The Stability Analysis of Hydrodynamic Journal Bearings Allowing for Manufacturing Tolerances. Part II: Stability Analysis Model with Consideration of Tolerances
Authors: Peter J. Ogrodnik, Mike J. Goodwin, Gordon A. Bancroft, Wubin Xu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

This paper extends the analysis of Part I to investigate the influences of the manufacturing tolerances on the stability of the journal bearing system. A new dimensionless stability map with consideration of the manufacturing tolerances is modeled by introducing in the concepts of nominal dimensions and limits. Several new parameters are deduced to express the synthesized manufacturing tolerances and the structural parameters of the journal bearing system based on a new dimensionless modified Sommerfeld number. The work also shows that the journal bearing system is insensitive to the manufacturing tolerances when the system eccentricity ratio runs around 0.3-0.4.
Black Swans, Gray Cygnets and Other Rare Birds
Authors: Edwina L. Rissland
Venue: Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development (2009)

Surprising, exceptional cases -- so-called black swans -- can provoke extraordinary change in the way we do things or conceptualize the world. While it is not unreasonable to be surprised by a black swan, to be surprised by subsequent cases that are similar enough that they might cause the same sort of upheaval is unforgivable. The problem is how to reason about these almost novel, not totally unforeseen, subsequent cases that I call gray cygnets.
Creating a systemic functional grammar corpus from the Penn treebank
Authors: Matthew Honnibal, James R. Curran
Venue: Proceedings of the Workshop on Deep Linguistic Processing (2007)

The lack of a large annotated systemic functional grammar (SFG) corpus has posed a significant challenge for the development of the theory. Automating SFG annotation is challenging because the theory uses a minimal constituency model, allocating as much of the work as possible to a set of hierarchically organised features. In this paper we show that despite the unorthodox organisation of SFG, adapting existing resources remains the most practical way to create an annotated corpus. We present and analyse SFGBank, an automated conversion of the Penn Treebank into systemic functional grammar. The corpus is comparable to those available for other linguistic theories, offering many opportunities for new research.
Structural Attacks on Two SHA-3 Candidates: Blender-n and DCH-n
Authors: Mario Lamberger, Florian Mendel
Venue: Proceedings of the 12th International Conference on Information Security (2009)

The recently started SHA-3 competition in order to find a new secure hash standard and thus a replacement for SHA-1/SHA-2 has attracted a lot of interest in the academic world as well as in industry. There are 51 round one candidates building on sometimes very different principles.In this paper, we show how to attack two of the 51 round one hash functions. The attacks have in common that they exploit structural weaknesses in the design of the hash function and are independent of the underlying compression function. First, we present a preimage attack on the hash function Blender-n. It has a complexity of about n·2 n/2 and negligible memory requirements. Secondly, we show practical collision and preimage attacks on DCH-n. To be more precise, we can trivially construct a (28 + 2)-block collision for DCH-n and a 1297-block preimage with only 521 compression function evaluations. The attacks on both hash functions work for all output sizes and render the hash functions broken.
Checking Framework Interactions with Relationships
Authors: Ciera Jaspan, Jonathan Aldrich
Venue: Proceedings of the 23rd European Conference on ECOOP 2009 --- Object-Oriented Programming (2009)

Software frameworks impose constraints on how plugins may interact with them. Many of these constraints involve multiple objects, are temporal, and depend on runtime values. Additionally, they are difficult to specify because they are often extrinsic and may break behavioral subtyping. This work introduces relationships as an abstraction for specifying framework constraints in FUSION (Framework Usage SpecificatIONs), and it presents a formal description and implementation of a static analysis to find constraint violations in plugin code. We define three variants of this analysis: one is sound, one is complete, and a pragmatic variant that balances these tradeoffs. We prove soundness and completeness for the appropriate variants, and we show that the pragmatic variant can effectively check constraints from real-world programs.
A preliminary look into the use of named entity information for bioscience text tokenization
Authors: Robert Arens
Venue: Proceedings of the Student Research Workshop at HLT-NAACL 2004 on XX (2004)

Tokenization in the bioscience domain is often difficult. New terms, technical terminology, and nonstandard orthography, all common in bioscience text, contribute to this difficulty. This paper will introduce the tasks of tokenization, normalization before introducing BAccHANT, a system built for bioscience text normalization. Casting tokenization / normalization as a problem of punctuation classification motivates using machine learning methods in the implementation of this system. The evaluation of BAccHANT's performance included error analysis of the system's performance inside and outside of named entities (NEs) from the GENIA corpus, which led to the creation of a normalization system trained solely on data from inside NEs, BAccHANT-N. Evaluation of this new system indicated that normalization systems trained on data inside NEs perform better than systems trained both inside and outside NEs, motivating a merging of tokenization and named entity tagging processes as opposed to the standard pipelining approach.
Web-Based Application Development, 1st edition
Authors: Ralph F. Grove
Venue:  (2009)

Perfect for the one-term course, Web-Based Application Development present an introduction to concepts, theories, practices, languages, and tools used to develop applications for the World Wide Web. It explores the important fundamentals of Web applications while also introducing the programming and technology necessary to put these ideas into practice. This book goes beyond presenting the languages and tools found in other texts by including networking, architecture, security, reliability, and other important concepts and theories necessary for today's web applications. Ideal for novice programmers looking to master the basic skills critical for a successful career in web development, Web-Based Application Development provides broad coverage of the topics coupled with hands-on, active-learning exercises in one, must-have resource. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Coke Photomicrograph Segmentation Based on an Improved Mean Shift Method
Authors: Peizhen Wang, Xueqin Mao, Xuefei Mao, Fang Zhou
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

In the view of characteristics for coke micrograph, a segmentation algorithm combining mean shift and edge confidence, is proposed. Firstly, the edge confidence of image pixels is calculated, and with the edge confidence the weighting function of mean shift algorithm is computed, the sampling points of feature space are weighted in order to improve the accuracy of detected modes. Secondly, coke image is segmented preliminarily by iterating the weighted mean shift vector. Because that the number of clusters in initial segmentation is larger than that of the actual clusters, which may result in over-segmentation, the combining conditions are set by the spatial distance and the average value of the edge confidence. The coke photomicrograph is finally segmented with the new combining conditions. Experimental results show that with the proposed algorithm the segmentation among different optical textures of coke is more reasonable and effective.