ppxscal/embedding_network huggingface dataset:
Performance Analysis about Parallel Greedy Approximation on Combinatorial Auctions
Authors: Naoki Fukuta, Takayuki Ito
Venue: Proceedings of the 11th Pacific Rim International Conference on Multi-Agents: Intelligent Agents and Multi-Agent Systems (2008)

Combinatorial auctions provide suitable mechanisms for efficient allocation of resources to self-interested agents. Considering ubiquitous computing scenarios, the ability to complete an auction within a fine-grained time period without loss of allocation efficiency is in strong demand. Furthermore, to achieve such scenarios, it is very important to handle a large number of bids in an auction. Recently, we proposed an algorithm to obtain sufficient quality of winners in very short time. However, it is demanded to analyze which factor is mainly affected to obtain such a good performance. Also it is demanded to clarify the actual implementation-level performance of the algorithm compared to a major commercial-level generic problem solver. In this paper, we show our parallel greedy updating approach contributes its better performance. Furthermore, we show our approach has a certain advantage compared to a latest commercial-level implementation of generic LP solver through various experiments.
Knowledge discovering for coastal waters classification
Authors: Gilberto Carvalho Pereira, Nelson Francisco Favilla Ebecken
Venue: Expert Systems with Applications: An International Journal (2009)

Since almost all anthropogenic activities ultimately affect the coastal waters, access properties and processes in this environment is the major issue in decision making and system management. Particularly, seasonal patterns are not clear in tropical areas, therefore, requiring environmental classification. The knowledge of long-term biogenic element dynamics, the biological response, and the selection of indicators connecting lower and higher trophic levels have became a real need for the sustainable management of marine resources. Under this scenario, this paper uses a machine-learning approach to determine the ecological status of coastal waters based on patterns of occurrence of meroplankton larvae of epibenthic fauna and its relationship with other environmental variables. The case studied is the upwelling influenced bay at Cabo Frio Island (Rio de Janeiro - Brazil) because this location has been suffering with anthropogenic impact. Models of crisp and fuzzy rules have been tested as classifiers. Results show it is possible to access hidden patterns of water masses within a set of association rules.
Usability Evaluation of a Spoken Data-Entry Interface
Authors: Marcello Federico
Venue: Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2 (1999)

This work presents a usability evaluation performed during the field-test of a speech based data-entry system. The application domain is the data-entry of personnel absence records from a huge historical paper archive. The system was tested by 12 employees of the personnel office of a public administration. The evaluation, based on the well known usability engineering paradigm, analyzed five human factors of the user interface: i.e. learnability, memorability, errors, efficiency and satisfaction. Evaluation measures were taken through a questionnaire and by logging usage of the system during a period of five months.
Tilt techniques: investigating the dexterity of wrist-based input
Authors: Mahfuz Rahman, Sean Gustafson, Pourang Irani, Sriram Subramanian
Venue: Proceedings of the 27th international conference on Human factors in computing systems (2009)

Most studies on tilt based interaction can be classified as point-designs that demonstrate the utility of wrist-tilt as an input medium; tilt parameters are tailored to suit the specific interaction at hand. In this paper, we systematically analyze the design space of wrist-based interactions and focus on the level of control possible with the wrist. In a first study, we investigate the various factors that can influence tilt control, separately along the three axes of wrist movement: flexion/extension, pronation/supination, and ulnar/radial deviation. Results show that users can control comfortably at least 16 levels on the pronation/supination axis and that using a quadratic mapping function for discretization of tilt space significantly improves user performance across all tilt axes. We discuss the findings of our results in the context of several interaction techniques and identify several general design recommendations.
Study of the working regime of the bucket wheel excavators in the conditions of Romanian open pit lignite mines
Authors: Marin Silviu Nan, Iosif Kovacs, Iosif Andras, Dumitru Jula
Venue: Proceedings of the 8th conference on Simulation, modelling and optimization (2008)

This paper presents the power and energy characteristics with the view to defining and analyzing the working mode of the rotor excavators in operation at Jilt Sud and Jilt Nord lignite open casts, for lignite mining and for mining of the predominantly overburden rock, i.e. the sandy clay.
On v-filters of commutative residuated lattices with weak vt-operators
Authors: Xuejun Liu, Zhudeng Wang
Venue: Proceedings of the 3rd WSEAS international conference on Computer engineering and applications (2009)

In this paper, based on Hájek, Vychodil, Rachunek and Šalounová's works, we study the concept of v-filters of commutative residuated lattices with weak vt-operators, give the formulas for calculating the v-filters generated by subsets, and show that lattice of v-filters of a commutative residuated lattice with vt-operator is a complete Brouwerian lattice.
PC Based Weight Scale System with Load Cell for Product Inspection
Authors: Anton Satria Prabuwono, Habibullah Akbar, Wendi Usino
Venue: Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 01 (2009)

Personal computer (PC) based weight scale system is a digital measurement system for checking the weight of product in manufacturing process. The system will connect directly to the measurement device and will display the result automatically. The load cell has been applied as a measurement sensor. The interface allows users to interact with the system. A software user interface along with the signal conditioning and data acquisition hardware has been fabricated. The system has been successfully tested to obtain various load measurements. A few suggestions have also been drawn up for the improvement of the system. As the system is easily customizable, its seamless integration is always possible in a highly automated industry. Thus, there is a great potential for this system to be used in numerous industries, where load measurement form is a part of the manufacturing process.
A technique for incorporating dynamic paths in lab-based mobile evaluations
Authors: Murray Crease, Jo Lumsden, Bob Longworth
Venue: Proceedings of the 21st British CHI Group Annual Conference on HCI 2007: People and Computers XXI: HCI...but not as we know it - Volume 1 (2007)

Increasingly, lab evaluations of mobile applications are incorporating mobility. The inclusion of mobility alone, however, is insufficient to generate a realistic evaluation context since real-life users will typically be required to monitor their environment while moving through it. While field evaluations represent a more realistic evaluation context, such evaluations pose difficulties, including data capture and environmental control, which mean that a lab-based evaluation is often a more practical choice. This paper describes a novel evaluation technique that mimics a realistic mobile usage context in a lab setting. The technique requires that participants monitor their environment and change the route they are walking to avoid dynamically changing hazards (much as real-life users would be required to do). Two studies that employed this technique are described, and the results (which indicate the technique is useful) are discussed.
An architecture of unknown attack detection system against zero-day worm
Authors: Ikkyun Kim, Daewon Kim, Byoungkoo Kim, Yangseo Choi, Seongyong Yoon, Jintae Oh, Jongsoo Jang
Venue: Proceedings of the 8th conference on Applied computer scince (2008)

We have introduced the ZASMIN (Zeroday-Attack Signature Management Infrastructure) system, which is developed for novel network attack detection. This system provides early warning at the moment the attacks start to spread on the network and to block the spread of the cyber attacks by automatically generating a signature that could be used by the network security appliance such as IPS. This system have adopted various of new technologies -- suspicious traffic monitoring, attack validation, polymorphic worm recognition, signature generation -- for unknown network attack detection. Because its hardware-based accelerator is also capable to deal with giga-bit speed traffic, it can be applicable to Internet backbone or the bottle-neck point of high-speed enterprise network without any loss of traffic. In this paper, after we setup the ZASMIN to real testbed, we have analyzed the results of the ZASMIN about detection of unknown attack.
Stop-motion prototyping for tangible interfaces
Authors: Leonardo Bonanni, Hiroshi Ishii
Venue: Proceedings of the 3rd International Conference on Tangible and Embedded Interaction (2009)

Stop-motion animation brings the constraints of the body, space and materials into video production. Building on the tradition of video prototyping for interaction design, stop motion is an effective technique for concept development in the design of Tangible User Interfaces. This paper presents a framework for stop-motion prototyping and the results of two workshops based on stop-motion techniques including pixillation, claymation and time-lapse photography. The process of stop-motion prototyping fosters collaboration, legibility and rapid iterative design in a physical context that can be useful to the early stages of tangible interaction design.
Pattern Theory: From Representation to Inference
Authors: Ulf Grenander, Michael Miller
Venue: Oxford Studies In Modern European Culture (2007)

Pattern Theory provides a comprehensive and accessible overview of the modern challenges in signal, data, and pattern analysis in speech recognition, computational linguistics, image analysis and computer vision. Aimed at graduate students in biomedical engineering, mathematics, computer science, and electrical engineering with a good background in mathematics and probability, the text include numerous exercises and an extensive bibliography. Additional resources including extended proofs, selected solutions and examples are available on a companion website. The book commences with a short overview of pattern theory and the basics of statistics and estimation theory. Chapters 3-6 discuss the role of representation of patterns via condition structure. Chapters 7 and 8 examine the second central component of pattern theory: groups of geometric transformation applied to the representation of geometric objects. Chapter 9 moves into probabilistic structures in the continuum, studying random processes and random fields indexed over subsets of Rn. Chapters 10 and 11 continue with transformations and patterns indexed over the continuum. Chapters 12-14 extend from the pure representations of shapes to the Bayes estimation of shapes and their parametric representation. Chapters 15 and 16 study the estimation of infinite dimensional shape in the newly emergent field of Computational Anatomy. Finally, Chapters 17 and 18 look at inference, exploring random sampling approaches for estimation of model order and parametric representing of shapes.
Programming Microsoft SQL Server 2008
Authors: Leonard Lobel, Andrew J. Brust, Stephen Forte
Venue:  (2008)

Written by industry professionals who have been working with SQL Server 2008 since the earliest code, this reference expertly covers the programming fundamentals for SQL Server 2008 with crucial real-world context and extensive code samples.Get the hands-on programming instruction, practical examples, and best practices you need to master the core programmability features in SQL Server 2008. Led by three experts in database design and business intelligence solutions, you ll learn the essential tools and techniques for developing robust applications. Discover how to:-Program views, stored applications, triggers, and functions using T-SQL-Work with the new data types, LINQ, and the ADO.NET Entity Framework-Automate common administration and maintenance tasks-Debug databases, reports, and objects using Microsoft Visual Studio 2008-Write transactional code and implement local and distributed transactions-Use business intelligence tools, such as SQL Server Reporting Services, SQL Server Analysis Services, and SQL Server Integration ServicesMany of the book s examples, exercises, and code samples are available for download from the companion Web site.
Interactive slotted stream tapping
Authors: Achraf Gazdar, Abdelfettah Belghith
Venue: Computer Communications (2009)

Many VoD broadcasting protocols have been proposed but very few of them were concerned with the user VCR-like interactivity such as fast forward and backward, jump forward and backward, pause and resume. The adopted broadcasting schemes within these protocols do not usually land themselves easily for interactivity operations without an excessive additional bandwidth and or latency. In this paper, we investigate and analyze simple and efficient forward interactivity operations within the Slotted Stream Taping SST protocol under its proactive mode. Different interactivity schemes are proposed and analytically evaluated. They differ in their aim to minimize the request satisfaction latency or the extra needed bandwidth or rather to find a balance between both. Analytical and numerical results show that a small user startup waiting time and a frequent client arrival rate minimize indeed the system and the network resources needed to handle interactivity operations.
Semiparametric analysis of randomized response data with missing covariates in logistic regression
Authors: S. H. Hsieh, S. M. Lee, P. S. Shen
Venue: Computational Statistics Data Analysis (2009)

In this article, two semiparametric approaches are developed for analyzing randomized response data with missing covariates in logistic regression model. One of the two proposed estimators is an extension of the validation likelihood estimator of Breslow and Cain [Breslow, N.E., and Cain, K.C. 1988. Logistic regression for two-stage case-control data. Biometrika. 75, 11-20]. The other is a joint conditional likelihood estimator based on both validation and non-validation data sets. We present a large sample theory for the proposed estimators. Simulation results show that the joint conditional likelihood estimator is more efficient than the validation likelihood estimator, weighted estimator, complete-case estimator and partial likelihood estimator. We also illustrate the methods using data from a cable TV study.
Approximate substring selectivity estimation
Authors: Hongrae Lee, Raymond T. Ng, Kyuseok Shim
Venue: Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology (2009)

We study the problem of estimating selectivity of approximate substring queries. Its importance in databases is ever increasing as more and more data are input by users and are integrated with many typographical errors and different spelling conventions. To begin with, we consider edit distance for the similarity between a pair of strings. Based on information stored in an extended N-gram table, we propose two estimation algorithms, MOF and LBS for the task. The latter extends the former with ideas from set hashing signatures. The experimental results show that MOF is a light-weight algorithm that gives fairly accurate estimations. However, if more space is available, LBS can give better accuracy than MOF and other baseline methods. Next, we extend the proposed solution to other similarity predicates, SQL LIKE operator and Jaccard similarity.
Engaging Patterns: Challenges and Means Shown by an Example
Authors: Sabine Niebuhr, Kirstin Kohler, Christian Graf
Venue: Engineering Interactive Systems: EIS 2007 Joint Working Conferences, EHCI 2007, DSV-IS 2007, HCSE 2007, Salamanca, Spain, March 22-24, 2007. Selected Papers (2008)

This paper presents first results of a research project whose goal is to develop a pattern language that enhances business software by motivating and engaging elements. The goal of the pattern language is to turn the soft and vague term of "emotions in user interaction design" into constructive design guidance. The patterns are especially tailored for joy-of-use in business applications. The main contribution of this paper is the description of quality characteristics for this pattern language. They are illustrated by references to existing pattern descriptions and elaborating their deficiencies. This paper shows how these weaknesses were addressed in the pattern language.ACM Classification Keywords: D.2.1 Requirements/Specifications, D.2.2 Design Tools and Techniques, H.5.2 User Interfaces.
Hypersequent Systems for the Admissible Rules of Modal and Intermediate Logics
Authors: Rosalie Iemhoff, George Metcalfe
Venue: Proceedings of the 2009 International Symposium on Logical Foundations of Computer Science (2009)

The admissible rules of a logic are those rules under which the set of theorems of the logic is closed. In a previous paper by the authors, formal systems for deriving the admissible rules of Intuitionistic Logic and a class of modal logics were defined in a proof-theoretic framework where the basic objects of the systems are sequent rules. Here, the framework is extended to cover derivability of the admissible rules of intermediate logics and a wider class of modal logics, in this case, by taking hypersequent rules as the basic objects.
Adaptive polarimetry design for a target in compound-Gaussian clutter
Authors: Jian Wang, Arye Nehorai
Venue: Signal Processing (2009)

We develop optimal adaptive design of radar waveform polarizations for a target in compound-Gaussian clutter. We present maximum likelihood estimates of the target's scattering matrix and clutter parameters using a parameter-expanded expectation-maximization (PX-EM) algorithm. We compute the Cramer-Rao bound (CRB) on the target's scattering matrix. To design the polarization, we propose an algorithm that minimizes a CRB function. We propose also suboptimal versions of this algorithm and illustrate the performance as well as compare our algorithm with numerical examples.
Improving scalability of Bag-of-Tasks applications running on master-slave platforms
Authors: Fabrıcio A. B. da Silva, Hermes Senger
Venue: Parallel Computing (2009)

Bag-of-Tasks applications are parallel applications composed of independent tasks. Examples of Bag-of-Tasks (BoT) applications include Monte Carlo simulations, massive searches (such as key breaking), image manipulation applications and data mining algorithms. This paper analyzes the scalability of Bag-of-Tasks applications running on master-slave platforms and proposes a scalability-related measure dubbed input file affinity. In this work, we also illustrate how the input file affinity, which is a characteristic of an application, can be used to improve the scalability of Bag-of-Tasks applications running on master-slave platforms. The input file affinity was considered in a new scheduling algorithm dubbed Dynamic Clustering, which is oblivious to task execution times. We compare the scalability of the Dynamic Clustering algorithm to several other algorithms, oblivious and non-oblivious to task execution times, proposed in the literature. We show in this paper that, in several situations, the oblivious algorithm Dynamic Clustering has scalability performance comparable to non-oblivious algorithms, which is remarkable considering that our oblivious algorithm uses much less information to schedule tasks.
Frame Collision Model and Queueing Strategy of Multiple Callings Based on RS232C Protocol
Authors: Wang Bo
Venue: Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 03 (2009)

The communication model of One Master to Multiple Slaves in DCS (Distributed Control System), which is out of RS232c protocol, limits the ability for DCS to respond and deal with the random requests from monitoring and control terminals. The circuit principle and the communication topology of RS232C interface are analyzed to reveal the mechanism of multiple callings from terminals. Poisson distribution is introduced to describe the calling process and develop the multiple frame collision model. A collision probability depends on calling frame format, Baud rate and calling frequency. The collision can be listened, identified and compensated with another calling. It is showed that the communication strategy of multiple terminals calling to central computer with RS232C protocol is feasible.
A dual-MOSFET equivalent resistor thermal sensor
Authors: Yongji Jiang, Garrett S. Rose
Venue: Proceedings of the 19th ACM Great Lakes symposium on VLSI (2009)

Along with the emergence of complex VLSI technologies such as multiple processor systems on chips (MPSOC), several challenges exist including increased defects, power consumption, and thermal effects. This paper focuses on how to mitigate thermal effects using a temperature sensitive thermal sensor. The here is to design a thermal sensor which is highly sensitive to the temperature. Such an on-chip sensor could be used to drive a management system for regulating on-chip temperature. The particular thermal sensor presented in this paper is built around a dual-MOSFET equivalent resistor. As is shown in this work, this thermal sensor provides improved temperature sensitivity when compared to alternatives.
Semi-Autonomous Generation of Appearance-based Edge Models from Image Sequences
Authors: Jeremiah Neubert, John Pretlove, Tom Drummond
Venue: Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality (2007)

Many of the robust visual tracking techniques utilized by augmented reality applications rely on 3D models and information extracted from images. Models enhanced with image information make it possible to initialize tracking and detect poor registration. Unfortunately, generating 3D CAD models and registering them to image information can be a time consuming operation. Regularly the process requires multiple trips between the site being modeled and the workstation used to create the model. The system presented in this work eliminates the need for a separately generated 3D model by utilizing modern structure-from-motion techniques to extract the model and associated image information directly from an image sequence. The technique can be implemented on any handheld device instrumented with a camera and network connection. The process of creating the model requires minimal user interaction in the form of a few cues to identify planar regions on the object of interest. In addition the system selects a set of keyframes for each region to capture viewpoint based appearance changes. This work also presents a robust tracking framework to take advantage of these new edge models. Performance of both the modeling technique and the tracking system are verified on several different objects.