ppxscal/embedding_network huggingface dataset:
The student view on online peer reviews
Authors: Christine Bauer, Kathrin Figl, Michael Derntl, Peter Paul Beran, Sonja Kabicher
Venue: ACM SIGCSE Bulletin (2009)

Peer review is used as an effective quality assurance measure in many contexts, including science, business, programming or education. In education, several studies confirmed the positive effects of peer reviewing on student learning. Based on recent research concerning the role of media in the peer review process this study investigates how students perceive the process, content and effects of peer reviews. We also analyze students' opinions on different modes of peer reviewing activities, e.g. online vs. face-to-face reviewing. In the context of a computer science course on scientific writing, these research questions were addressed by administering an online questionnaire (n=38) and analysis using quantitative and qualitative methods. Results indicate that students value the peer review activity, take peer reviews seriously and provide comprehensive and constructive reviews. Findings also show that students prefer written online reviews with the possibility of oral follow-up questions to reviewers.
Developing 2D chaotic trajectories for monitoring an area ith two points of interest
Authors: Daniel-Ioan Curiac, Constantin Volosencu
Venue: Proceedings of the 10th WSEAS international conference on Automation & information (2009)

This paper presents a study upon the design of 2D chaotic trajectories for an intelligent vehicle based on two points of interest that has to be monitored, in the case that the vehicle position in the field has to remain unpredictable. To reach this goal, we started from a classical 3D chaotic system - Lorenz system, and projected it into xOy plane. After that, using a rotation and a scale transformation we placed the two attractors exactly in the positions of the mentioned points of interest. By this, we obtained a trajectory that can monitor both points of interest with a single intelligent vehicle.
Applying image transformation and classification techniques to airborne hyperspectral imagery for mapping Ashe juniper infestations
Authors: Chenghai Yang, J. H. Everitt, H. B. Johnson
Venue: International Journal of Remote Sensing (2009)

Ashe juniper (Juniperus ashei Buchholz) in excessive coverage reduces forage production, interferes with livestock management, and degrades watersheds and wildlife habitat on infested rangelands. The objective of this study was to apply minimum noise fraction (MNF) transformation and different classification techniques to airborne hyperspectral imagery for mapping Ashe juniper infestations. Hyperspectral imagery with 98 usable bands covering a spectral range of 475-845 nm was acquired from two Ashe juniper infested sites in central Texas. MNF transformation was applied to the hyperspectral imagery and the transformed imagery with the first 10 and 20 MNF bands was classified using four hard classifiers: minimum distance, Mahalanobis distance, maximum likelihood and spectral angle mapper (SAM). For comparison, the 10-and 20-band MNF imagery was inversely transformed to noise-reduced 98-band imagery in the original data space, which was also classified using the four classifiers. Accuracy assessment showed that the first 10 MNF bands were sufficient for distinguishing Ashe juniper from associated plant species (mixed woody species and mixed herbaceous species) and other cover types (bare soil and water). Although the 20-band MNF imagery provided better results for some classifications, the increase in overall accuracy was not statistically significant. Overall accuracy on the 10-band MNF imagery varied from 88% for SAM to 93% for minimum distance for site 1 and from 84% for SAM to 94% for maximum likelihood for site 2. The 98-band imagery derived from the 10-band MNF imagery resulted in overall accuracy ranging from 91% for both SAM and Mahalanobis distance to 97% for maximum likelihood for site 1 and from 87% for SAM to 93% for minimum distance for site 2. Although both approaches produced comparable classification results, the MNF imagery required smaller storage space and less computing time. These results indicate that airborne hyperspectral imagery incorporated with image transformation and classification techniques can be a useful tool for mapping Ashe juniper infestations.
An advertisement-based peer-to-peer search algorithm
Authors: Jun Wang, Peng Gu, Hailong Cai
Venue: Journal of Parallel and Distributed Computing (2009)

Most of the existing search algorithms for unstructured peer-to-peer (P2P) systems share one common approach: the requesting node sends out a keyword search query and the query message is repeatedly routed and forwarded to other peers in the overlay network. Due to multiple hops involved in query forwarding, the search may result in a long delay before it is answered. Furthermore, some incapable nodes may be overloaded when the query traffic becomes intensive or bursty. In this paper, we present a novel content-pushing, Advertisement-based Search Algorithm for unstructured Peer-to-peer systems (ASAP). An advertisement (ad) is a synopsis of contents a peer tends to share, and appropriately distributed and selectively cached by other peers in the system. In ASAP, nodes proactively advertise their contents by delivering ads, and selectively storing interesting ads received from other peers. Upon a request, a node can locate the destination nodes by looking up its local ads repository, and thus obtain a one-hop search latency with modest search cost. Comprehensive experimental results show that, compared with traditional query-based search algorithms, ASAP achieves much better search efficiency, and maintains system load at a low level with small variations. In addition, ASAP works well under node churn.
Micro-hotplate based temperature stabilization system for CMOS SAW resonators
Authors: Anis Nurashikin Nordin, Ioana Voiculescu, Mona Zaghloul
Venue: Microsystem Technologies (2009)

Due to the sensitivity of the piezoelectric layer in surface acoustic wave (SAW) resonators to temperature, a method of achieving device stability as a function of temperature is required. This work presents two methods of temperature control for CMOS SAW resonators using embedded polysilicon heaters. The first approach employs the oven control temperature stabilization scheme. Using this approach, the device&#x2019;s temperature is elevated using on-chip heaters to Tmax&#x00a0;=&#x00a0;42&#x00b0;C to maintain constant device temperature. Both DC and RF measurements of the heater together with the resonator were conducted. Experimental results have indicated that the TCF of the CMOS SAW resonator of &#x2212;97.2&#x00a0;ppm/&#x00b0;C has been reduced to &#x2212;23.19&#x00a0;ppm/&#x00b0;C when heated to 42&#x00b0;C. The second scheme uses a feedback control circuit to switch the on-chip heaters on and off depending on the ambient temperature. This method provided reduction of the TCF from &#x2212;165.38&#x00a0;ppm/&#x00b0;C, to &#x2212;93.33&#x00a0;ppm/&#x00b0;C. Comparison of both methods was also provided.
On the quadratic stability of descriptor systems with uncertainties in the derivative matrix
Authors: Daqing Zhang, Qingling Zhang
Venue: International Journal of Systems Science (2009)

This article considers the quadratic stability problem of uncertain descriptor systems. The underlying system may be subjected to linear fractional uncertainties both in the derivative matrix and in the state matrix. Furthermore, the rank of the derivative matrix may change with respect to the uncertainties. By using an S-procedure and sum-of-squares technique, a sufficient condition on the quadratic stability problem of such type of uncertain descriptor systems is presented. An illustrative example is explored to sustain the findings of this article.
Must-See Websites for Busy Teachers: Must-See Websites
Authors: Lynn Van Gorp
Venue:  (2007)

Search the Web using this handy reference directory of reputable websites. Gather useful information and save valuable time with lists of websites categorized by specific content areas. 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
Accurately Measuring Denial of Service in Simulation and Testbed Experiments
Authors: Jelena Mirkovic, Alefiya Hussain, Sonia Fahmy, Peter Reiher, Roshan K. Thomas
Venue: IEEE Transactions on Dependable and Secure Computing (2009)

Researchers in the denial-of-service (DoS) field lack accurate, quantitative, and versatile metrics to measure service denial in simulation and testbed experiments. Without such metrics, it is impossible to measure severity of various attacks, quantify success of proposed defenses, and compare their performance. Existing DoS metrics equate service denial with slow communication, low throughput, high resource utilization, and high loss rate. These metrics are not versatile because they fail to monitor all traffic parameters that signal service degradation. They are not quantitative because they fail to specify exact ranges of parameter values that correspond to good or poor service quality. Finally, they are not accurate since they were not proven to correspond to human perception of service denial. We propose several DoS impact metrics that measure the quality of service experienced by users during an attack. Our metrics are quantitative: they map QoS requirements for several applications into measurable traffic parameters with acceptable, scientifically determined thresholds. They are versatile: they apply to a wide range of attack scenarios, which we demonstrate via testbed experiments and simulations. We also prove metrics' accuracy through testing with human users.
A Simple Neural Network for Enhancement of Image Acuity by Fixational Instability
Authors: Daqing Yi, Ping Jiang, Jin Zhu
Venue: Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III (2009)

Inspired by biological findings, this paper proposes a neural network model for achieving higher image acuity by introducing random eye movement. Statistical analysis and comparison study of the image quality in the presence and absence of random eye movement are carried out using the model. It is revealed that, as a noise source to a stationary image, the random eye movement can contribute to overcome the inherent resolution limits of photoreceptors and enhance sharpness of images by temporal statistics of firing neurons. Super-resolution and prominent edges can thus be achieved, with superior visual acuity to the absence of eye-movement. The acuity enhancement is in fact a trade-off between bias and variance and is related to the distribution of visual stimuli and eye-movement patterns. The simulations illustrate its effect on enhancement of image acuity.
Artificial general intelligence: an organism and level based position statement
Authors: Leslie S. Smith
Venue: Proceeding of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference (2008)

Do simple animals, even single-celled animals, display general intelligence? If we take this to mean that they can cope with their environment, even when it is dynamic, the answer would have to be yes. What is it that gives them this easy capability, yet makes it hard for us to design systems which have it? We suggest that it is from the non-determinism which arises from the lowest levels of their operation, and from the way in which the different levels of their operation interact. We propose techniques whereby these might be incorporated into artificial systems.
Reducing false positives in anomaly detectors through fuzzy alert aggregation
Authors: Federico Maggi, Matteo Matteucci, Stefano Zanero
Venue: Information Fusion (2009)

In this paper we focus on the aggregation of IDS alerts, an important component of the alert fusion process. We exploit fuzzy measures and fuzzy sets to design simple and robust alert aggregation algorithms. Exploiting fuzzy sets, we are able to robustly state whether or not two alerts are ''close in time'', dealing with noisy and delayed detections. A performance metric for the evaluation of fusion systems is also proposed. Finally, we evaluate the fusion method with alert streams from anomaly-based IDS.
End-user software engineering and distributed cognition
Authors: Margaret Burnett, Christopher Bogart, Jill Cao, Valentina Grigoreanu, Todd Kulesza, Joseph Lawrance
Venue: Proceedings of the 2009 ICSE Workshop on Software Engineering Foundations for End User Programming (2009)

End-user programmers may not be aware of many software engineering practices that would add greater discipline to their efforts, and even if they are aware of them, these practices may seem too costly (in terms of time) to use. Without taking advantage of at least some of these practices, the software these end users create seems likely to continue to be less reliable than it could be. We are working on several ways of lowering both the perceived and actual costs of systematic software engineering practices, and on making their benefits more visible and immediate. Our approach is to leverage the user's cognitive effort through the use of distributed cognition, in which the system and user collaboratively work systematically to reason about the program the end user is creating. This paper demonstrates this concept with a few of our past efforts, and then presents three of our current efforts in this direction.
Nondifferentiability of an objective function at its point of minimum for most minimax problems
Authors: Alexander J. Zaslavski
Venue: Journal of Global Optimization (2009)

In this paper we study a class of minimax problems $${\max\{f(x),g(x)\} \to \min, x \,{\in} \, R^n}$$ where $${f,g \in C^1(R^n)}$$ . We show that the subclass of all problems for which there exists a point of minimum $${z \in R^1}$$ such that $${f(z)=g(z)}$$ and $${\nabla f(z)=\nabla g(z)}$$ is small.
Software engineering for health education and care delivery systems: The Smart Condo project
Authors: Eleni Stroulia, David Chodos, Nicholas M. Boers, Jianzhao Huang, Pawel Gburzynski, Ioanis Nikolaidis
Venue: Proceedings of the 2009 ICSE Workshop on Software Engineering in Health Care (2009)

Providing affordable, high-quality healthcare to the elderly while enabling them to live independently longer is of critical importance, as this is an increasing and expensive demographic to treat. Sensor-network technologies are essential to developing assisted living environments. In our Smart Condo project, we have deployed a sensor network with a variety of sensor types in an 850 square-foot condominium. The sensor network records a variety of events and environmental parameters and feeds the related data into our web-based system. This system is responsible for inferring higher-order information about the activities of the condo's occupant and supporting the visualization of the collected information in a 2D Geographic Information System (GIS) and a 3D virtual world, namely Second Life (SL).
Generalized modus ponens reasoning for rules with partial overlapping between premise and observation
Authors: Ion Iancu
Venue: Proceedings of the 2nd conference on European computing conference (2008)

Using Generalized Modus Ponens reasoning, we examine the values of inferred conclusion when the premise of the rule and the observed fact have a partial overlapping. We work with fuzzy if-then rules with a single input single output and the t-norm t(x, y) = max((1+λ)(x+y-1)-λxy,0), λ ≥ -1, for composition operation. This t-norm is important to use because for λ = -1 and λ = 0 it gives the very used t-norms t1(x, y) = xy and t2(x, y) = max(0, x+y-1), respectively. A set of eight implication operators are used, completing some of our previous results, where the method were used analyzing the possible inclusion relations between the premise and the observation.
Connecting Distributed Information Using the Semantic Web
Authors: Takahiro Abe, Daisuke Wada, Hiromi Kobayashi
Venue: Proceeding of the 2008 conference on Knowledge-Based Software Engineering: Proceedings of the Eighth Joint Conference on Knowledge-Based Software Engineering (2008)

This paper presents a method of connecting and using information on a distributed network. Web ontology language (OWL) is used to describe and connect information according to the transitive property. Peer to peer (P2P) is used to construct this system. An information management server is used to boost the efficiency for connecting information. Consequently, this system is a hybrid P2P system. A bidirectional depth-first search algorithm is used for seeking an information connection. We develop a prototype system in which reasoning or information association is conducted for ingredients of a dish of cuisine to describe its nutritional characteristics. For this system, JXTA is used as the P2P platform.
Efficiency of (revenue-)optimal mechanisms
Authors: Gagan Aggarwal, Gagan Goel, Aranyak Mehta
Venue: Proceedings of the tenth ACM conference on Electronic commerce (2009)

We compare the expected efficiency of revenue maximizing (or optimal) mechanisms with that of efficiency maximizing ones. We show that the efficiency of the revenue maximizing mechanism for selling a single item with (k + logeovere-1 k + 1) bidders is at least as much as the efficiency of the efficiency-maximizing mechanism with k bidders, when bidder valuations are drawn i.i.d. from a Monotone Hazard Rate distribution. Surprisingly, we also show that this bound is tight within a small additive constant of 4.7. In other words, Θ(log k) extra bidders suffice for the revenue-maximizing mechanism to match the efficiency of the efficiency-maximizing mechanism, while o(log k) do not. This is in contrast to the result of Bulow and Klemperer comparing the revenue of the two mechanisms, where only one extra bidder suffices. More precisely, they show that the revenue of the efficiency-maximizing mechanism with k + 1 bidders is no less than the revenue of the revenue-maximizing mechanism with k bidders. We extend our result for the case of selling t identical items and show that Θ(log k) + t Θ(log log k) extra bidders suffice for the revenue-maximizing mechanism to match the efficiency of the efficiency-maximizing mechanism. In order to prove our results, we do a classification of Monotone Hazard Rate (MHR) distributions and identify a family of MHR distributions, such that for each class in our classification, there is a member of this family that is pointwise lower than every distribution in that class. This lets us prove interesting structural theorems about distributions with Monotone Hazard Rate.
A Particle-Mesh Integrator for Galactic Dynamics Powered by GPGPUs
Authors: Dominique Aubert, Mehdi Amini, Romaric David
Venue: Proceedings of the 9th International Conference on Computational Science: Part I (2009)

We present a particle-mesh N-body integrator running on GPU using CUDA. Relying on a grid-based description of the gravitational potential, it can simulate the evolution of self-interacting `stars' in order to model e.g. galaxies. All the steps of the application have been ported on the GPU , namely 1/ an histogramming algorithm with CUDPP, 2/ of the resolution of the Poisson equation by means of FFT with CUFFT and multi-grid relaxation, 3/ of an optimized finite difference scheme to compute the accelerations of stars and 4/ of an update procedure for positions and velocities. We present several tests at different resolution, and reach a speedup from 2 to 50 depending on the resolution and on the test case. 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
Pattern avoidance and Boolean elements in the Bruhat order on involutions
Authors: Axel Hultman, Kathrin Vorwerk
Venue: Journal of Algebraic Combinatorics: An International Journal (2009)

We show that the principal order ideal of an element w in the Bruhat order on involutions in a symmetric group is a Boolean lattice if and only if w avoids the patterns 4321, 45312 and 456123. Similar criteria for signed permutations are also stated. Involutions with this property are enumerated with respect to natural statistics. In this context, a bijective correspondence with certain Motzkin paths is demonstrated.
Spatial Dimensionality as a Classification Criterion for Qualities
Authors: Florian Probst, Martin Espeter
Venue: Proceeding of the 2006 conference on Formal Ontology in Information Systems: Proceedings of the Fourth International Conference (FOIS 2006) (2006)

We discuss how the spatial extent of physical endurants influences the conceptualization of their spatial qualities. Comparing the spatial dimensionality of a physical endurant with the spatial dimensionality of its qualities leads to an interesting formal ontological question. Should a spatial quality be conceptualized as having a value range instead of a single value when its bearer has a higher spatial dimensionality? For example, the one-dimensional depth quality can be conceptualized as having a value range when it is assigned to the three-dimensional water body of a lake. In terms of the foundational ontology DOLCE, the “value” of a quality, sometimes called quale, is located at an atomic region at a certain time. Allowing a value range at a time is to model qualities as being located at non-atomic regions at a time. That might be philosophically debatable, yet, this modeling approach enables the development of information discovery systems that can cope with ontologically imprecise user queries and can assist the user in defining ontologically precise quality specifications. This brings formal ontology closer to practical applications. The investigation is based on the foundational ontology DOLCE and introduces a classification for spatial qualities based on their spatial dimensionality.
Query Recommendations for Interactive Database Exploration
Authors: Gloria Chatzopoulou, Magdalini Eirinaki, Neoklis Polyzotis
Venue: Proceedings of the 21st International Conference on Scientific and Statistical Database Management (2009)

Relational database systems are becoming increasingly popular in the scientific community to support the interactive exploration of large volumes of data. In this scenario, users employ a query interface (typically, a web-based client) to issue a series of SQL queries that aim to analyze the data and mine it for interesting information. First-time users, however, may not have the necessary knowledge to know where to start their exploration. Other times, users may simply overlook queries that retrieve important information. To assist users in this context, we draw inspiration from Web recommender systems and propose the use of personalized query recommendations. The idea is to track the querying behavior of each user, identify which parts of the database may be of interest for the corresponding data analysis task, and recommend queries that retrieve relevant data. We discuss the main challenges in this novel application of recommendation systems, and outline a possible solution based on collaborative filtering. Preliminary experimental results on real user traces demonstrate that our framework can generate effective query recommendations.